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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: year \| film \| song \| language row 1 : 2005 \| the tiger \| kaliya visha dhara \| malayalam row 2 : 2006 \| chinthamani kolacase \| asathoma \| malayalam row 3 : 2006 \| the don \| theme song \| malayalam row 4 : 2007 \| detective \| theme song \| malayalam row 5 : 2008 \| sound of boot \| yamuna sangitaam \| malayalam row 6 : 2009 \| kerala cafe (bgm) \| lalitham hiranmyam \| malayalam row 7 : 2010 \| ringtone \| 5 songs \| malayalam row 8 : 2010 \| "thriller \| bgm \| malayalam row 9 : 2011 \| thaazhvaarakaat \| 5 songs \| malayalam row 10 : 2012 \| shyloo \| shyloo \| kannada row 11 : 2012 \| crime story \| 3 songs \| malayalam row 12 : 2012 \| munjane \| yaro ob sund \| kannada row 13 : 2012 \| sankranthi \| belakkilla balali \| kannada row 14 : 2012 \| kai thunindavan \| 5 songs \| tamil ] Execute this SQL based on the above table: select count ( * ) where song = 'kaliya visha dhara'	1
[ header: rank \| name \| height \| floors \| year \| notes row 1 : 1 \| zions bank building zions bank building \| 323 ft (98 m) \| 20 \| 2013 \| tallest building in state since 2013 row 2 : 2 \| boise airport air traffic control tower \| 295 ft (90 m) \| None \| 2009 \| tallest atc tower in the northwest row 3 : 3 \| us bank plaza us bank building in downtown bois \| 267 ft (81 m) \| 19 \| 1978 \| tallest building in state from 1978 to 2013. " row 4 : 3 \| one capital center one capital center in downtown boise \| 206 ft (63 m) \| 14 \| 1975 \| tallest building in boise from 1975 to 1978 row 5 : 4 \| idaho state capitol i \| 198 ft (60 m) \| 4 \| 1920 \| tallest building in boise from 1920 to 1975 row 6 : 5 \| the grove hotel grove hotel in downtown bois \| 196 ft (60 m) \| 16 \| 2000 \| None row 7 : 6 \| the aspen aspen loft building in downtown bois \| 194 ft (59 m) \| 17 \| 2009 \| None row 8 : 7 \| wells fargo building wells fargo building \| 182 ft (55 m) \| 11 \| 1988 \| first interstate until 1996 row 9 : 8 \| banner bank building banner bank building in downtown boise \| 181 ft (55 m) \| 11 \| 2006 \| None row 10 : 9 \| key tower key bank building in downtown boise, \| 174 ft (53 m) \| 13 \| 1963 \| bank of idaho until 1981 row 11 : 10 \| bronco stadium bronco stadium in bois \| 170 ft (52 m) \| None \| 1970 \| None row 12 : 11 \| hoff building hoff building in downtown boise \| 165 ft (50 m) \| 14 \| 1930 \| None row 13 : 12 \| chase tower plaza chase building in downtown boise \| 160 ft (49 m) \| 11 \| 1995 \| washington mutual until 2009 row 14 : 13 \| idaho power building i \| 160 ft (49 m) \| 9 \| 1990 \| None ] Execute this SQL based on the above table: select name group by name order by count ( * ) desc limit 1	zions bank building zions bank building in downtown boise, idaho
[ header: goal \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 10 october 1998 \| tyencastle park, e \| estonia \| 1-1 \| 3-2 \| ecqg9 row 2 : 2 \| 10 october 1998 \| tyencastle park, e \| estonia \| 3-2 \| 3-2 \| ecqg9 row 3 : 3 \| 14 october 1998 \| pittodrie stadium, aberdeen \| faroe islands \| 2-0 \| 2-1 \| ecqg9 row 4 : 4 \| 4 september 1999 \| olimpijski stadion \| bosnia and herzegovin \| 2-1 \| 2-1 \| ecqg9 row 5 : 5 \| 24 march 2001 \| hampden park, glasgow \| belgium \| 1-0 \| 2-2 \| wcqg6 row 6 : 6 \| 24 march 2001 \| hampden park, glasgow \| belgium \| 2-0 \| 2-2 \| wcqg6 row 7 : 7 \| 28 march 2001 \| hampden park, glasgow \| san marino \| 3-0 \| 4-0 \| wcqg6 ] Execute this SQL based on the above table: select avg ( goal )	4.0
[ header: serial number \| river \| name \| area (km2) \| district \| co-ordinate \| altitude (m) row 1 : 1 \| bharathapuzha \| malampuzha \| 23.13 \| palakkad \| 10°50′n 76°41′ \| 104 row 2 : 2 \| bharathapuzha \| mangalam \| 3.93 \| palakkad \| 10°31′n 76°32′ \| 72 row 3 : 3 \| bharathapuzha \| meenkara \| 2.59 \| palakkad \| 10°37′n 76°48′ \| 152 row 4 : 4 \| bharathapuzha \| chulliar \| 1.59 \| palakkad \| 10°35′n 76°46′ \| 143 row 5 : 5 \| bharathapuzha \| pothundi \| 3.63 \| palakkad \| 10°32′n 76°38′ \| 93 row 6 : 9 \| chalakkudy \| thunakkadavu \| 2.83 \| palakkad \| 10°25′59′′n 76° \| 565 row 7 : 10 \| chalakkudy \| peruvaaripallam \| None \| palakkad \| 10°26′49′′n 76° \| 565 row 8 : 12 \| chalakkudy \| peringalkuthu dam \| 2.63 \| thrissur \| None \| None row 9 : 13 \| kallada \| parappar \| 25.9 \| kollam \| 09° 57' 77° 4' \| None row 10 : 15 \| karuvanoor \| peechi \| 12.63 \| thrissur \| 10°32′n 76°23′ \| 73 row 11 : 16 \| keecheri \| vazhani \| 2.55 \| thrissur \| 10° 40' 76° 15' \| None row 12 : 17 \| kuttiadi \| kuttiadi \| 10.52 \| kozhikode \| 11° 36' 75° 49'27" \| None row 13 : 19 \| pamba \| pamba \| 5.7 \| pathanamthitta \| 09° 20' 76° 53' \| None row 14 : 20 \| pamba \| kakki \| 18 \| pathanamthitta \| None \| None row 15 : 21 \| periyar \| idukki \| 61.6 \| idukki \| 09° 48' 76° 53' \| 720 row 16 : 22 \| periyar \| ponmudi \| 2.6 \| idukki \| 09° 55' 77° 05' \| None row 17 : 24 \| periyar \| kundala \| 2.3 \| idukki \| 10° 0' 77° 0 \| None row 18 : 26 \| periyar \| sengulam \| 0.33 \| idukki \| 10° 00' 77° 05 \| None row 19 : 27 \| periyar \| neriamangalam \| 4.13 \| idukki \| None \| None row 20 : 30 \| valapattanam \| pazhassi \| 6.48 \| kannur \| None \| None row 21 : 33 \| chimmini dam \| thrissur \| 85.067 \| thrissur \| None \| None ] Execute this SQL based on the above table: select district where co-ordinate is null	thrissur, pathanamthitta, idukki, kannur, thrissur
[ header: name \| country \| ambassador since \| projects and activities they support \| link row 1 : ara abramyan \| russia \| 15 july 2003 \| dialogue among civilizations \| row 2 : valdas adamkus \| lithuania \| 29 september 2003 \| construction of knowledge societies \| row 3 : mehriban aliyeva \| azerbaijan \| 9 september 2004 \| promotion and safeguarding of intangible cultural heritage \| row 4 : alicia alonso \| cuba \| 7 june 2002 \| promotion of ballet dancing (programme of intang \| row 5 : pierre berge \| france \| 2 july 1993 \| campaign against hiv/aids, human rights \| row 6 : chantal biya \| cameroon \| 14 november 2008 \| education and social inclusion \| row 7 : the princess of hanover \| monaco \| 2 december 2003 \| protection of children and the family, empowerment of women \| row 8 : miguel angel estrella \| argentina \| 26 october 1989 \| promotion of culture of peace and tolerance through music \| row 9 : vigdis finnbogadotti \| iceland \| 1998 \| promotion of linguistic diversity, women's rights \| row 10 : princess firyal of jordan \| jordan \| 1992 \| promotion of the education for all initiative, humanitarian actions \| row 11 : ivry gitlis \| israel \| 1990 \| support of education and culture of peace and tolerance \| row 12 : bahia hariri \| lebanon \| 17 november 2000 \| preservation of world heritage, education, culture, women \| row 13 : jean michel jarre \| france \| 24 may 1993 \| protection of the environment (water, fight against desert \| row 14 : princess lalla meryem of mor \| morocco \| july 2001 \| protection of childhood and women's rights \| row 15 : omer zulfu livan \| turkey \| 20 september 1996 \| promotion of peace and polerance through music and promotion \| row 16 : princess maha chakri sirindhorn of \| thailand \| 24 march 2005 \| empowerment of minority children and the preservation of their in \| row 17 : keith chatsauka-coetze \| south africa \| 12 july 2012 \| None \| row 18 : rigoberta menchu tum \| guatemala \| 21 june 1996 \| promotion of culture of peace, protection of rights of \| row 19 : vik muniz \| brazil \| 27 may 2011 \| None \| row 20 : kitin munoz \| spain \| 22 april 1997 \| protection and promotion of indigenous cultures and their environment \| row 21 : cristina owen-jones \| italy \| 23 march 2004 \| hiv/aids prevention education program \| row 22 : kim phuc phan \| vietnam \| 10 november 1994 \| protection and education for children, orphans and \| row 23 : susana rinaldi \| argentina \| 28 april 1992 \| street children, culture of peace \| row 24 : sheikh ghassan i. \| saudi arabia \| 1989 \| fundraising, children and women in need, victims of \| row 25 : madanjeet singh \| india \| 16 november 2000 \| founder of the south asia foundation, which promote \| row 26 : zurab tsereteli \| georgia \| 30 march 1996 \| cultural and artistic projects \| ] Execute this SQL based on the above table: select country where name = 'madanjeet singh'	india
[ header: year \| winner \| runner-up \| final score \| third row 1 : 1992 \| budivelnyk \| nki mykolaiv \| round-robin \| spartak lugansk row 2 : 1993 \| budivelnyk \| ska kyiv \| round-robin \| nki mykolaiv row 3 : 1994 \| budivelnyk \| kyiv-basket \| 3-0 \| bipa-moda odesa row 4 : 1995 \| budivelnyk \| kyiv-basket \| 3-0 \| shakhtar-asko donetsk row 5 : 1996 \| budivelnyk \| shakhtar donetsk \| round-robin \| kyiv-basket row 6 : 1997 \| budivelnyk \| bipa-moda odesa \| 3-2 \| kyiv-basket row 7 : 1998 \| bipa-moda odesa \| budivelnyk \| 3-0 \| sc mykolaiv row 8 : 1999 \| bipa-moda odesa \| cska-riko kyiv \| 3-2 \| budivelnyk row 9 : 2000 \| kyiv \| mbc odesa \| 3-2 \| cska-ukrtatna row 10 : 2001 \| mbc odesa \| kyiv \| 3-2 \| azovmash row 11 : 2002 \| mbc odesa \| kyiv \| 3-2 \| azovmash row 12 : 2003 \| azovmash \| mbc odesa \| 4-0 \| kyiv row 13 : 2004 \| azovmash \| kyiv \| 4-2 \| mbc odesa row 14 : 2005 \| kyiv \| azovmash \| 3-0 \| khimik row 15 : 2006 \| azovmash \| kyiv \| 3-1 \| khimik row 16 : 2007 \| azovmash \| kyiv \| 3-2 \| khimik row 17 : 2008 \| azovmash \| kyiv \| 3-1 \| khimik row 18 : 2009 \| azovmash \| donetsk \| 3-0 \| khimik row 19 : 2010 \| azovmash \| budivelnyk \| 3-2 \| ferro-zntu row 20 : 2011 \| budivelnyk \| donetsk \| 4-3 \| hoverla row 21 : 2012 \| donetsk \| azovmash \| 4-0 \| ferro-zntu row 22 : 2013 \| budivelnyk \| azovmash \| 4-3 \| ferro-zntu ] Execute this SQL based on the above table: select winner where winner in ( 'kyiv' , 'azovmash' ) order by year desc limit 1	azovmash
[ header: year \| author \| illustrator \| title \| publisher row 1 : 1982 \| angela carter (ed. and translator \| michael foreman \| sleeping beauty and other favourite fairy tales \| v. gollancz row 2 : 1983 \| anthony browne \| browne \| gorilla \| julia macrae row 3 : 1984 \| john burningham \| burningham \| granpa \| j. cape row 4 : 1985 \| ted hughes (1968) \| andrew davidson \| the iron man \| faber row 5 : 1986 \| allan ahlberg \| janet ahlberg \| the jolly postman \| heinemann row 6 : 1987 \| charles causley \| charles keeping \| jack the treacle eater \| macmillan row 7 : 1988 \| lewis carroll (1865) \| anthony browne \| alice's adventures in wonderland \| julia macrae row 8 : 1989 \| martin waddell \| barbara firth \| the park in the dark \| walker row 9 : 1990 \| quentin blake \| blake \| all join in \| j. cape row 10 : 1991 \| colin mcnaughton \| mcnaughton \| have you seen who's just moved in next \| walker row 11 : 1992 \| raymond briggs \| briggs \| the man \| julia macrae row 12 : 1993 \| karen wallace \| mike bostock \| think of an eel \| walker row 13 : 1994 \| trish cooke \| helen oxenbury \| so much \| walker row 14 : 1995 \| kathy henderson \| patrick benson \| the little boat \| walker row 15 : 1996 \| babette cole \| cole \| drop dead \| j. cape row 16 : 1997 \| william mayne \| jonathan heale \| lady muck \| heinemann row 17 : 1998 \| anthony browne \| browne \| voices in the park \| doubleday row 18 : 1999 \| lewis carroll (1865) \| helen oxenbury \| alice's adventures in wonderland \| walker ] Execute this SQL based on the above table: select title where year = 1982	sleeping beauty and other favourite fairy tales
[ header: place \| player \| country \| score \| to par row 1 : 1 \| tiger woods \| united states \| 67-66-67=200 \| -16 row 2 : t2 \| thomas bjørn \| denmark \| 69-69-68=206 \| -10 row 3 : t2 \| david duval \| united states \| 70-70-66=206 \| -10 row 4 : t4 \| darren clarke \| northern ireland \| 70-69-68=207 \| -9 row 5 : t4 \| loren roberts \| united states \| 69-68-70=207 \| -9 row 6 : t4 \| david toms \| united states \| 69-67-71=207 \| -9 row 7 : t7 \| ernie els \| south africa \| 66-72-70=208 \| -8 row 8 : t7 \| steve flesch \| united states \| 67-70-71=208 \| -8 row 9 : t7 \| tom lehman \| united states \| 68-70-70=208 \| -8 row 10 : t7 \| dennis paulson \| united states \| 68-71-70=208 \| -8 ] Execute this SQL based on the above table: select abs ( ( select to par where player = 'steve flesch' ) - ( select to par where player = 'dennis paulson' ) )	0
[ header: conference \| date \| place \| attendance \| archive of presentations row 1 : wikimania 2005 \| august 5-7 \| frankfurt, germany \| 380 \| slides, video row 2 : wikimania 2006 \| august 4-6 \| cambridge, united states \| 400 \| slides and papers, video row 3 : wikimania 2007 \| august 3-5 \| taipei, roc ( \| 440 \| commons gallery row 4 : wikimania 2008 \| july 17-19 \| alexandria, eg \| 650 \| abstracts, slides,video row 5 : wikimania 2009 \| august 26-28 \| buenos aires, argentina \| 559 \| slides, video row 6 : wikimania 2010 \| july 9-11 \| gdansk, poland \| about 500 \| slides row 7 : wikimania 2011 \| august 4-7 \| haifa, israel \| 720 \| presentations, video row 8 : wikimania 2012 \| july 12-15 \| washington, d.c., united \| 1400 \| presentations, videos row 9 : wikimania 2013 \| august 7-11 \| hong kong \| 700 \| presentations, videos row 10 : wikimania 2014 \| august 6-10 \| london, united kingdom \| None \| None ] Execute this SQL based on the above table: select abs ( ( select attendance where conference = 'wikimania 2011' ) - ( select attendance where conference = 'wikimania 2010' ) )	220.0
[ header: main author \| no. of patients \| duration of follow-up years \| linearized rate of infection \| actuarial freedom from infective endocarditis row 1 : pavie \| 675 \| 5 \| None \| 98.2% for all patients, 97 row 2 : duncan (a) \| 2720 \| 6 \| None \| 97.3% for all patients, 97 row 3 : ionescu (b) \| 1171 \| 10 \| None \| 93.7% for all patients, 94 row 4 : zhu \| 520 \| 10 \| None \| 98% for all patients row 5 : revuelta \| 239 \| 8 \| 0.67% per patient year \| None row 6 : garcia-bengochea \| 248 \| 8 \| 0.78% per patient year \| None row 7 : holden (c) \| 290 \| 6 \| 1.1% per patient year \| None row 8 : bachet (d) \| 224 \| 6 \| 1.6% per patient year \| None ] Execute this SQL based on the above table: select linearized rate of infection where linearized rate of infection in ( '0.78% per patient year' , '1.1% per patient year' ) order by no. of patients desc limit 1	1.1% per patient year
[ header: pos \| no. \| rider \| manufacturer \| laps \| time/retired \| grid \| points row 1 : 1 \| 75 \| mattia pasini \| aprilia \| 27 \| 39:44.091 \| 3 \| 25 row 2 : 2 \| 19 \| alvaro bautista \| aprilia \| 27 \| 0.01 \| 2 \| 20 row 3 : 3 \| 52 \| lukas pesek \| derbi \| 27 \| 0.111 \| 1 \| 16 row 4 : 5 \| 24 \| simone corsi \| gilera \| 27 \| 9.372 \| 9 \| 11 row 5 : 6 \| 1 \| thomas luthi \| honda \| 27 \| 10.57 \| 13 \| 10 row 6 : 7 \| 18 \| nicolas terol \| derbi \| 27 \| 11.835 \| 5 \| 9 row 7 : 8 \| 36 \| mika kallio \| ktm \| 27 \| 11.905 \| 4 \| 8 row 8 : 9 \| 6 \| joan olive \| aprilia \| 27 \| 26.017 \| 16 \| 7 row 9 : 10 \| 33 \| sergio gadea \| aprilia \| 27 \| 26.172 \| 12 \| 6 row 10 : 11 \| 32 \| fabrizio lai \| honda \| 27 \| 26.361 \| 6 \| 5 row 11 : 12 \| 38 \| bradley smith \| honda \| 27 \| 26.389 \| 14 \| 4 row 12 : 13 \| 11 \| sandro cortese \| honda \| 27 \| 26.48 \| 11 \| 3 row 13 : 14 \| 14 \| gabor talmacsi \| honda \| 27 \| 26.606 \| 7 \| 2 row 14 : 15 \| 71 \| tomoyoshi koyama \| malaguti \| 27 \| 27.068 \| 15 \| 1 row 15 : 16 \| 54 \| randy krummenacher \| ktm \| 27 \| 27.192 \| 21 \| None row 16 : 18 \| 17 \| stefan bradl \| ktm \| 27 \| 46.201 \| 18 \| None row 17 : 19 \| 95 \| georg frohlich \| honda \| 27 \| 56.274 \| 28 \| None row 18 : 20 \| 35 \| raffaele de rosa \| aprilia \| 27 \| 56.549 \| 25 \| None row 19 : 21 \| 26 \| vincent braillard \| aprilia \| 27 \| 56.782 \| 31 \| None row 20 : 23 \| 15 \| michele pirro \| aprilia \| 27 \| 57.474 \| 22 \| None row 21 : 24 \| 29 \| andrea iannone \| aprilia \| 27 \| 57.707 \| 20 \| None row 22 : 25 \| 7 \| alexis masbou \| malaguti \| 27 \| +1:04.698 \| 37 \| None row 23 : 26 \| 16 \| michele conti \| honda \| 27 \| +1:04.793 \| 32 \| None row 24 : 28 \| 43 \| manuel hernandez \| aprilia \| 27 \| +1:17.323 \| 30 \| None row 25 : 29 \| 23 \| lorenzo baroni \| honda \| 27 \| +1:17.507 \| 26 \| None row 26 : 30 \| 21 \| mateo tunez \| aprilia \| 27 \| +1:20.583 \| 29 \| None row 27 : 32 \| 98 \| toni wirsing \| honda \| 26 \| +1 lap \| 42 \| None row 28 : ret \| 44 \| karel abraham \| aprilia \| 16 \| retirement \| 33 \| None row 29 : ret \| 13 \| dino lombardi \| aprilia \| 13 \| retirement \| 41 \| None row 30 : ret \| 37 \| joey litjens \| honda \| 11 \| retirement \| 38 \| None row 31 : ret \| 22 \| pablo nieto \| aprilia \| 9 \| retirement \| 8 \| None ] Execute this SQL based on the above table: select count ( * ) where rider = 509	0
[ header: year \| div. \| pos. \| cup \| top scorer (league) \| score row 1 : 2003 \| uzl \| 12th \| 1/4 \| None \| None row 2 : 2004 \| uzl \| 7th \| 1/4 \| rahmat inogamov \| 8 row 3 : 2005 \| uzl \| 12th \| 1/2 \| alisher kholiqov \| 6 row 4 : 2006 \| uzl \| 11th \| 1/4 \| alisher kholiqov \| 9 row 5 : 2007 \| uzl \| 9th \| r16 \| None \| None row 6 : 2008 \| uzl \| 15th \| 1/4 \| lochin soliev \| 8 row 7 : 2009 \| uzl \| 15th \| 1/4 \| None \| None row 8 : 2010 \| 1st \| 1st \| r32 \| abdulatif juraev \| 27 row 9 : 2011 \| uzl \| 9th \| r32 \| sukhrob nematov \| 7 row 10 : 2012 \| uzl \| 7th \| 1/2 \| vokhid shodiev \| 5 row 11 : 2013 \| uzl \| 6th \| r16 \| vokhid shodiev \| 12 ] Execute this SQL based on the above table: select top scorer (league) where id = ( select id where score = 7 ) - 1	abdulatif juraev
[ header: administrative area \| area km2 \| area sq mi \| population \| administrative centre row 1 : saint helena \| 122 \| 47 \| 5809 \| jamestown row 2 : ascension island \| 91 \| 35 \| 1532 \| georgetown row 3 : tristan da cunha \| 184 \| 71 \| 388 \| edinburgh of the seven seas row 4 : tristan da cunha \| 98 \| 38 \| 382 \| edinburgh of the seven seas row 5 : inaccessible island \| 14 \| 5 \| 0 \| denstone hut row 6 : nightingale island \| 3.2 \| 1 \| 0 \| west landing row 7 : gough island \| 68 \| 26 \| 6 \| transvaal bay row 8 : total \| 397 \| 153 \| 7729 \| jamestown ] Execute this SQL based on the above table: select count ( distinct population ) where administrative centre = 'transvaal bay'	1
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| united states \| 12 \| 13 \| 6 \| 31 row 2 : 2 \| russia \| 10 \| 5 \| 6 \| 21 row 3 : 3 \| australia \| 8 \| 12 \| 6 \| 26 row 4 : 4 \| china \| 7 \| 4 \| 8 \| 19 row 5 : 5 \| germany \| 5 \| 6 \| 5 \| 16 row 6 : 6 \| japan \| 3 \| 3 \| 3 \| 9 row 7 : 7 \| netherlands \| 3 \| 2 \| 2 \| 7 row 8 : 8 \| great britain \| 2 \| 3 \| 3 \| 8 row 9 : 9 \| ukraine \| 2 \| 3 \| 2 \| 7 row 10 : 10 \| italy \| 2 \| 2 \| 1 \| 5 row 11 : 11 \| canada \| 2 \| 0 \| 1 \| 3 row 12 : 12 \| hungary \| 1 \| 4 \| 1 \| 6 row 13 : 13 \| spain \| 1 \| 2 \| 3 \| 6 row 14 : 14 \| poland \| 1 \| 1 \| 0 \| 2 row 15 : 15 \| france \| 1 \| 0 \| 2 \| 3 row 16 : 16 \| finland \| 1 \| 0 \| 1 \| 2 row 17 : 17 \| belarus \| 1 \| 0 \| 0 \| 1 row 18 : 18 \| czech republic \| 0 \| 2 \| 0 \| 2 row 19 : 19 \| slovakia \| 0 \| 1 \| 1 \| 2 row 20 : 20 \| denmark \| 0 \| 1 \| 0 \| 1 row 21 : 20 \| croatia \| 0 \| 1 \| 0 \| 1 row 22 : 22 \| romania \| 0 \| 0 \| 2 \| 2 row 23 : 23 \| bulgaria \| 0 \| 0 \| 1 \| 1 row 24 : 23 \| mexico \| 0 \| 0 \| 1 \| 1 row 25 : 23 \| serbia and montenegro \| 0 \| 0 \| 1 \| 1 row 26 : 23 \| south africa \| 0 \| 0 \| 1 \| 1 row 27 : 23 \| sweden \| 0 \| 0 \| 1 \| 1 row 28 : 23 \| tunisia \| 0 \| 0 \| 1 \| 1 row 29 : total \| total \| 62 \| 65 \| 59 \| 186 ] Execute this SQL based on the above table: select nation order by nation desc limit 1	united states
[ header: community \| currency \| region \| target date \| notes row 1 : economic and monetary community of central africa (ce \| central african cfa franc \| africa \| None \| not yet functioning common market row 2 : west african economic and monetary union (u \| west african cfa franc \| africa \| None \| not yet functioning common market row 3 : gulf cooperation council (gcc) \| khaleeji \| middle east \| 2013 \| possibly gold backed, but postponed row 4 : east african community (eac) \| east african shilling \| africa \| 2015 \| to be used by the future east african row 5 : caribbean single market and economy (a \| None \| latin america /caribbean \| 2015 \| to supplement the oecs eastern ca row 6 : southern african customs union (sacu \| south african rand \| africa \| 2015 \| de facto for the cma member when the row 7 : southern african development community (sadc \| south african rand (interim proposal) \| africa \| 2016 \| to supplement or succeed the cma and southern africa row 8 : south asian association for regional cooperation \| None \| south asia \| 2016 \| None row 9 : union of south american nations (unasur) \| latino \| latin america /caribbean \| 2019 \| None row 10 : economic community of central african states (ecca \| None \| africa \| None \| to supplement the economic and monetary community of central row 11 : economic community of west african states (eco \| None \| africa \| None \| to succeed uemoa and wa row 12 : african economic community \| None \| africa \| 2028 \| see african monetary union row 13 : union state of russia and belarus \| russian ruble \| europe \| None \| None row 14 : arab league \| arab dinar \| arab states \| None \| arab dinar has been proposed ever since the creation ] Execute this SQL based on the above table: select count ( notes )	11
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 10 \| juan pablo montoya \| mclaren-mercedes \| 60 \| 1:24:29.588 \| 3 \| 10 row 2 : 2 \| 5 \| fernando alonso \| renault \| 60 \| 2.739 \| 1 \| 8 row 3 : 3 \| 9 \| kimi raikkonen \| mclaren-mercedes \| 60 \| 14.436 \| 12 \| 6 row 4 : 4 \| 6 \| giancarlo fisichella \| renault \| 60 \| 17.914 \| 6 \| 5 row 5 : 5 \| 3 \| jenson button \| bar-honda \| 60 \| 40.264 \| 2 \| 4 row 6 : 6 \| 1 \| michael schumacher \| ferrari \| 60 \| +1:15.322 \| 9 \| 3 row 7 : 7 \| 2 \| rubens barrichello \| ferrari \| 60 \| +1:16.567 \| 5 \| 2 row 8 : 8 \| 17 \| ralf schumacher \| toyota \| 60 \| +1:19.212 \| 8 \| 1 row 9 : 9 \| 16 \| jarno trulli \| toyota \| 60 \| +1:20.851 \| 4 \| None row 10 : 10 \| 12 \| felipe massa \| sauber-petronas \| 59 \| +1 lap \| 16 \| None row 11 : 11 \| 7 \| mark webber \| williams-bmw \| 59 \| +1 lap \| 11 \| None row 12 : 12 \| 8 \| nick heidfeld \| williams-bmw \| 59 \| +1 lap \| 14 \| None row 13 : 13 \| 14 \| david coulthard \| red bull-cosworth \| 59 \| +1 lap \| 13 \| None row 14 : 14 \| 11 \| jacques villeneuve \| sauber-petronas \| 59 \| +1 lap \| 10 \| None row 15 : 15 \| 15 \| christian klien \| red bull-cosworth \| 59 \| +1 lap \| 15 \| None row 16 : 16 \| 4 \| takuma sato \| bar-honda \| 58 \| +2 laps \| 7 \| None row 17 : 17 \| 18 \| tiago monteiro \| jordan-toyota \| 58 \| +2 laps \| 20 \| None row 18 : 18 \| 21 \| christijan albers \| minardi-cosworth \| 57 \| +3 laps \| 18 \| None row 19 : 19 \| 20 \| patrick friesacher \| minardi-cosworth \| 56 \| +4 laps \| 19 \| None row 20 : ret \| 19 \| narain karthikeyan \| jordan-toyota \| 10 \| electrical \| 17 \| None ] Execute this SQL based on the above table: select count ( * ) where laps < 317	20
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 5 \| fernando alonso \| renault \| 56 \| 1:31:33.736 \| 1 \| 10 row 2 : 2 \| 16 \| jarno trulli \| toyota \| 56 \| 24.327 \| 2 \| 8 row 3 : 3 \| 8 \| nick heidfeld \| williams-bmw \| 56 \| 32.188 \| 10 \| 6 row 4 : 4 \| 10 \| juan pablo montoya \| mclaren-mercedes \| 56 \| 41.631 \| 11 \| 5 row 5 : 5 \| 17 \| ralf schumacher \| toyota \| 56 \| 51.854 \| 5 \| 4 row 6 : 6 \| 14 \| david coulthard \| red bull-cosworth \| 56 \| +1:12.543 \| 8 \| 3 row 7 : 7 \| 1 \| michael schumacher \| ferrari \| 56 \| +1:19.988 \| 13 \| 2 row 8 : 8 \| 15 \| christian klien \| red bull-cosworth \| 56 \| +1:20.835 \| 7 \| 1 row 9 : 9 \| 9 \| kimi raikkonen \| mclaren-mercedes \| 56 \| +1:21.580 \| 6 \| None row 10 : 10 \| 12 \| felipe massa \| sauber-petronas \| 55 \| +1 lap \| 14 \| None row 11 : 11 \| 19 \| narain karthikeyan \| jordan-toyota \| 54 \| +2 laps \| 17 \| None row 12 : 12 \| 18 \| tiago monteiro \| jordan-toyota \| 53 \| +3 laps \| 18 \| None row 13 : 13 \| 21 \| christijan albers \| minardi-cosworth \| 52 \| +4 laps \| 19 \| None row 14 : ret \| 2 \| rubens barrichello \| ferrari \| 49 \| handling \| 12 \| None row 15 : ret \| 6 \| giancarlo fisichella \| renault \| 36 \| collision \| 3 \| None row 16 : ret \| 7 \| mark webber \| williams-bmw \| 36 \| collision \| 4 \| None row 17 : ret \| 11 \| jacques villeneuve \| sauber-petronas \| 26 \| spun off \| 16 \| None row 18 : ret \| 3 \| jenson button \| bar-honda \| 2 \| engine \| 9 \| None row 19 : ret \| 4 \| anthony davidson \| bar-honda \| 2 \| engine \| 15 \| None row 20 : ret \| 20 \| patrick friesacher \| minardi-cosworth \| 2 \| spun off \| 20 \| None ] Execute this SQL based on the above table: select constructor where driver = 'michael schumacher' and constructor != 'sauber-petronas'	ferrari
[ header: date \| opponent# \| rank# \| site \| result \| attendance row 1 : september 9 \| northern illinois \| #4 \| memorial stadium • lincoln, \| w 48-17 \| 76194 row 2 : september 16 \| utah \| #4 \| memorial stadium • lincoln, \| w 42-30 \| 76333 row 3 : september 23 \| at minnesota \| #3 \| hubert h. humph \| w 48-0 \| 58368 row 4 : september 30 \| oregon state \| #3 \| memorial stadium • lincoln, \| w 35-7 \| 76290 row 5 : october 7 \| kansas state \| #4 \| memorial stadium • lincoln, \| w 58-7 \| 76265 row 6 : october 14 \| at missouri \| #4 \| faurot field • columbia \| w 50-7 \| 55620 row 7 : october 21 \| at oklahoma state \| #4 \| lewis field • stillwater, o \| w 48-23 \| 40000 row 8 : october 28 \| iowa state \| #4 \| memorial stadium • lincoln, \| w 49-17 \| 52877 row 9 : november 4 \| at #2 colorado \| #3 \| folsom field • boulder, colorad \| l 21-27 \| 52877 row 10 : november 11 \| kansas \| #6 \| memorial stadium • lincoln, \| w 51-14 \| 76232 row 11 : november 18 \| oklahoma \| #6 \| memorial stadium • lincoln, \| w 42-25 \| 76404 row 12 : january 1 \| vs. #5 florida state \| #6 \| sun devil stadium • tempe, ari \| l 17-41 \| 73953 ] Execute this SQL based on the above table: select date where rank# = '#6'	november 11, november 18, january 1
[ header: country \| zone \| national federation \| #gm \| #fide \| national championship row 1 : australia \| 3.6 \| australian chess federation \| 2 \| 468 \| australian chess championship row 2 : belarus \| 1.8 \| belarus chess federation \| 13 \| 425 \| belarusian chess championship row 3 : bulgaria \| 1.4 \| българска ф \| 25 \| 606 \| bulgarian chess championship row 4 : costa rica \| 2.3c \| federacion central de ajed \| 1 \| 88 \| costa rican chess championship row 5 : england \| 1.1a \| english chess federation \| 35 \| 1211 \| british chess championship row 6 : fiji \| 3.6 \| fiji chess federation \| 0 \| 9 \| fijian chess championship row 7 : germany \| 1.2a \| deutscher schachbund \| 66 \| 10897 \| german chess championship row 8 : guyana \| None \| guyana chess federation \| None \| None \| guyanese chess championship row 9 : iceland \| 1.3 \| skaksamband islands \| 11 \| 227 \| icelandic chess championship row 10 : luxembourg \| 1.1b \| federation luxembourgeoise des e \| 1 \| 99 \| luxembourgian chess championship row 11 : morocco \| 4.1 \| fed. royale marocaine des e \| 1 \| 68 \| moroccan chess championship row 12 : nepal \| 3.5 \| nepal chess association \| 1 \| 155 \| nepal chess championship row 13 : peru \| 2.4 \| federacion peruana de \| 1 \| 258 \| peruvian chess championship row 14 : singapore \| 3.3 \| singapore chess federation \| 4 \| 132 \| singaporean chess championship row 15 : slovakia \| 1.4 \| slovensky sachovy z \| 9 \| 1152 \| slovak chess championship row 16 : slovenia \| 1.2a \| sahovska zveza \| 5 \| 548 \| slovenian chess championship row 17 : tajikistan \| 3.4 \| federazijai shakhmati \| 1 \| 17 \| tajikistani chess championship row 18 : turkey \| 1.5a \| turkiye satranc \| 2 \| 545 \| turkish chess championship row 19 : united states \| 2.1 \| united states chess federation \| 61 \| 1785 \| u.s. chess championship row 20 : venezuela \| 2.3c \| fed. venezolana de a \| 1 \| 136 \| venezuelan chess championship row 21 : zambia \| 4.3 \| chess federation of zambi \| 1 \| 21 \| zambian chess championship ] Execute this SQL based on the above table: select ( select #fide where country = 'costa rica' ) < ( select #fide where country = 'singapore' )	1
[ header: main author \| no. of patients \| duration of follow-up years \| linearized rate of infection \| actuarial freedom from infective endocarditis row 1 : pavie \| 675 \| 5 \| None \| 98.2% for all patients, 97 row 2 : duncan (a) \| 2720 \| 6 \| None \| 97.3% for all patients, 97 row 3 : ionescu (b) \| 1171 \| 10 \| None \| 93.7% for all patients, 94 row 4 : zhu \| 520 \| 10 \| None \| 98% for all patients row 5 : revuelta \| 239 \| 8 \| 0.67% per patient year \| None row 6 : garcia-bengochea \| 248 \| 8 \| 0.78% per patient year \| None row 7 : holden (c) \| 290 \| 6 \| 1.1% per patient year \| None row 8 : bachet (d) \| 224 \| 6 \| 1.6% per patient year \| None ] Execute this SQL based on the above table: select sum ( no. of patients ) where linearized rate of infection in ( '1.1% per patient year' , '0.67% per patient year' )	529.0
[ header: year \| species \| height \| location grown \| state \| notes row 1 : 2006 \| pacific silver fir \| 65 feet (20 m) \| olympic national forest \| washington \| the tree was lit by dennis hastert row 2 : 2005 \| engelmann spruce \| 65 feet (20 m) \| santa fe national forest \| new mexico \| the tree was lit by dennis hastert row 3 : 2004 \| red spruce \| 65 feet (20 m) \| george washington and jefferson national \| virginia \| the tree was lit by dennis hastert row 4 : 2001 \| white spruce \| 72 feet (22 m) \| ottawa national forest \| michigan \| known as "the tree of hope," the tree row 5 : 1995 \| douglas fir \| 60 feet (18 m) \| plumas national forest \| california \| None row 6 : 1987 \| norway spruce \| 60 feet (18 m) \| wayne national forest \| ohio \| None row 7 : 1983 \| white spruce \| 52 feet (16 m) \| chequamegon national forest \| wisconsin \| None row 8 : 1982 \| balsam fir \| 50 feet (15 m) \| riley bostwich wildlife management \| vermont \| None row 9 : 1980 \| white spruce \| 48 feet (15 m) \| green mountain national forest \| vermont \| None row 10 : 1975 \| balsam fir \| 41 feet (12 m) \| ottawa national forest \| michigan \| None row 11 : 1972 \| balsam fir \| 50 feet (15 m) \| tennessee national forest \| pennsylvania \| None row 12 : 1968 \| white pine \| 30 feet (9.1 m) \| finksburg, maryland \| maryland \| made from two different trees ] Execute this SQL based on the above table: select count ( species ) where location grown = 'tennessee national forest'	1
[ header: week \| date \| opponent \| result \| venue \| attendance row 1 : 1 \| september 3, 1978 \| at detroit lions \| w 13-7 \| pontiac silverdome \| 51187 row 2 : 2 \| september 10, 1978 \| new orleans saints \| w 28-17 \| milwaukee county stadium \| 54336 row 3 : 3 \| september 17, 1978 \| oakland raiders \| l 28-3 \| lambeau field \| 55903 row 4 : 4 \| september 24, 1978 \| at san diego chargers \| w 24-3 \| san diego stadium \| 42755 row 5 : 5 \| october 1, 1978 \| detroit lions \| w 35-14 \| milwaukee county stadium \| 54601 row 6 : 6 \| october 8, 1978 \| chicago bears \| w 24-14 \| lambeau field \| 56267 row 7 : 7 \| october 15, 1978 \| seattle seahawks \| w 45-28 \| milwaukee county stadium \| 52712 row 8 : 8 \| october 22, 1978 \| at minnesota vikings \| l 21-7 \| metropolitan stadium \| 47411 row 9 : 9 \| october 29, 1978 \| tampa bay buccaneers \| w 9-7 \| lambeau field \| 55108 row 10 : 10 \| november 5, 1978 \| at philadelphia eagle \| l 10-3 \| veterans stadium \| 64214 row 11 : 11 \| november 12, 1978 \| dallas cowboys \| l 42-14 \| milwaukee county stadium \| 55256 row 12 : 12 \| november 19, 1978 \| at denver broncos \| l 16-3 \| mile high stadium \| 74965 row 13 : 13 \| november 26, 1978 \| minnesota vikings \| t 10-10 (ot) \| lambeau field \| 51737 row 14 : 14 \| december 3, 1978 \| at tampa bay buccaneers \| w 17-7 \| tampa stadium \| 67754 row 15 : 15 \| december 10, 1978 \| at chicago bears \| l 14-0 \| soldier field \| 34306 row 16 : 16 \| december 17, 1978 \| at los angeles rams \| l 31-14 \| los angeles memorial coliseum \| 42500 ] Execute this SQL based on the above table: select result where id = ( select id where result = 'l 16-3' ) + 1	t 10-10 (ot)
[ header: name \| rank \| age \| years until mandatory retirement \| appointed by \| year appointed row 1 : anabelle rodriguez \| associate justice \| 64 \| 6 years \| sila maria calderon \| 2004 row 2 : edgardo rivera garcia \| associate justice \| 59 \| 11 years \| luis fortuno \| 2010 row 3 : erick kolthoff caraball \| associate justice \| 53 \| 17 years \| luis fortuno \| 2009 row 4 : federico hernandez denton \| chief justice \| 70 \| 0 year \| sila maria calderon \| 2004 row 5 : liana fiol matta \| associate justice \| 68 \| 2 years \| sila maria calderon \| 2004 row 6 : luis estrella martinez \| associate justice \| 43 \| 27 years \| luis fortuno \| 2011 row 7 : mildred pabon charneco \| associate justice \| 57 \| 13 years \| luis fortuno \| 2009 row 8 : rafael martinez \| associate justice \| 55 \| 15 years \| luis fortuno \| 2009 row 9 : roberto feliberti c \| associate justice \| 51 \| 19 years \| luis fortuno \| 2011 ] Execute this SQL based on the above table: select age where name = 'roberto feliberti cintron'	51
[ header: team \| county \| wins \| years won row 1 : greystones \| wicklow \| 1 \| 2011 row 2 : ballymore eustace \| kildare \| 1 \| 2010 row 3 : maynooth \| kildare \| 1 \| 2009 row 4 : ballyroan abbey \| laois \| 1 \| 2008 row 5 : fingal ravens \| dublin \| 1 \| 2007 row 6 : confey \| kildare \| 1 \| 2006 row 7 : crettyard \| laois \| 1 \| 2005 row 8 : wolfe tones \| meath \| 1 \| 2004 row 9 : dundalk gaels \| louth \| 1 \| 2003 ] Execute this SQL based on the above table: select team where team = 'ballyroan abbey'	ballyroan abbey
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| united states \| 5 \| 6 \| 5 \| 16 row 2 : 2 \| jamaica \| 4 \| 1 \| 1 \| 6 row 3 : 3 \| netherlands \| 2 \| 0 \| 0 \| 2 row 4 : 4 \| bahamas \| 1 \| 1 \| 0 \| 2 row 5 : 5 \| ukraine \| 1 \| 0 \| 1 \| 2 row 6 : 6 \| east germany \| 1 \| 0 \| 0 \| 1 row 7 : 6 \| greece \| 1 \| 0 \| 0 \| 1 row 8 : 6 \| soviet union \| 1 \| 0 \| 0 \| 1 row 9 : 9 \| ivory coast \| 0 \| 2 \| 0 \| 2 row 10 : 9 \| united kingdom \| 0 \| 2 \| 0 \| 2 row 11 : 11 \| belgium \| 0 \| 1 \| 1 \| 2 row 12 : 12 \| bulgaria \| 0 \| 1 \| 0 \| 1 row 13 : 12 \| russia \| 0 \| 1 \| 0 \| 1 row 14 : 12 \| germany \| 0 \| 1 \| 0 \| 1 row 15 : 15 \| canada \| 0 \| 0 \| 2 \| 2 row 16 : 15 \| france \| 0 \| 0 \| 2 \| 2 row 17 : 17 \| belarus \| 0 \| 0 \| 1 \| 1 row 18 : 17 \| cuba \| 0 \| 0 \| 1 \| 1 row 19 : 17 \| gabon \| 0 \| 0 \| 1 \| 1 row 20 : 17 \| british virgin islands \| 0 \| 0 \| 1 \| 1 row 21 : total \| total \| 16 \| 16 \| 16 \| 48 ] Execute this SQL based on the above table: select count ( nation ) where total > 2	3
[ header: episode number \| original airdate \| title \| disc \| description row 1 : 48 \| 30 january 1983 \| "the frozen turkey man" \| 1 \| for a joke, compo and cle row 2 : 49 \| 6 february 1983 \| "the white man's grave" \| 1 \| the trio have clegg stand in for wall row 3 : 50 \| 13 february 1983 \| "the waist land" \| 1 \| foggy attempts to earn some ready cash by row 4 : 51 \| 20 february 1983 \| "cheering up ludovic \| 1 \| clegg is roped in to drive row 5 : 52 \| 27 february 1983 \| "the three astaires" \| 1 \| the trio help out at a church concert, row 6 : 53 \| 6 march 1983 \| "the arts of concealment" \| 1 \| foggy lands himself in trouble with a ] Execute this SQL based on the above table: select title order by disc desc limit 1	"the frozen turkey man"
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 30 may 1928 \| olympic stadium (amsterdam \| mexico \| 1-0 \| 7-1 \| 1928 summer olympics row 2 : 2 \| 30 may 1928 \| olympic stadium (amsterdam \| mexico \| 3-0 \| 7-1 \| 1928 summer olympics row 3 : 3 \| 22 june 1930 \| bologna, italy \| italy \| 1-0 \| 3-2 \| friendly row 4 : 4 \| 22 june 1930 \| bologna, italy \| italy \| 3-1 \| 3-2 \| friendly row 5 : 5 \| 13 december 1931 \| dublin, ireland \| ireland \| 3-0 \| 5-0 \| friendly row 6 : 6 \| 13 december 1931 \| dublin, ireland \| ireland \| 5-0 \| 5-0 \| friendly row 7 : 7 \| 24 april 1932 \| oviedo, spain \| yugoslavia \| 1-0 \| 2-1 \| friendly row 8 : 8 \| 21 june 1933 \| madrid, spain \| bulgaria \| 8-0 \| 13-0 \| friendly row 9 : 9 \| 21 june 1933 \| madrid, spain \| bulgaria \| 12-0 \| 13-0 \| friendly row 10 : 10 \| 11 march 1934 \| madrid, spain \| portugal \| 4-0 \| 9-0 \| 1934 world cup qualifier row 11 : 11 \| 11 march 1934 \| madrid, spain \| portugal \| 6-0 \| 9-0 \| 1934 world cup qualifier row 12 : 12 \| 21 june 1934 \| firenze, italy \| italy \| 1-0 \| 1-1 \| 1934 fifa world cup row 13 : 13 \| 24 january 1935 \| madrid, spain \| bulgaria \| 1-0 \| 2-0 \| friendly row 14 : 14 \| 19 january 1936 \| madrid, spain \| austria \| 2-4 \| 4-5 \| friendly row 15 : 15 \| 19 january 1936 \| madrid, spain \| austria \| 4-4 \| 4-5 \| friendly row 16 : 16 \| 23 february 1936 \| barcelona, spain \| germany \| 1-2 \| 1-2 \| friendly ] Execute this SQL based on the above table: select score where venue = 'madrid, spain'	8-0, 12-0, 4-0, 6-0, 1-0, 2-4, 4-4
[ header: pos \| no \| driver \| constructor \| lap \| gap row 1 : 1 \| 98 \| walt faulkner \| kurtis kraft-offenhaus \| 4:27.97 \| None row 2 : 2 \| 28 \| fred agabashian \| kurtis kraft-offenhaus \| 4:31.10 \| + 3.13 row 3 : 3 \| 31 \| mauri rose \| deidt-offenhauser \| 4:32.07 \| + 4.10 row 4 : 4 \| 5 \| george connor \| lesovsky-offenhauser \| 4:32.39 \| + 4.42 row 5 : 5 \| 1 \| johnnie parsons \| kurtis kraft-offenhaus \| 4:32.43 \| + 4.46 row 6 : 6 \| 49 \| jack mcgrath \| kurtis kraft-offenhaus \| 4:33.00 \| + 5.03 row 7 : 7 \| 69 \| duke dinsmore \| kurtis kraft-offenhaus \| 4:34.67 \| + 6.70 row 8 : 8 \| 14 \| tony bettenhausen \| deidt-offenhauser \| 4:34.92 \| + 6.95 row 9 : 9 \| 17 \| joie chitwood \| kurtis kraft-offenhaus \| 4:35.32 \| + 7.35 row 10 : 10 \| 3 \| bill holland \| deidt-offenhauser \| 4:35.90 \| + 7.93 row 11 : 11 \| 59 \| pat flaherty \| kurtis kraft-offenhaus \| 4:37.76 \| + 9.79 row 12 : 12 \| 54 \| cecil green \| kurtis kraft-offenhaus \| 4:30.86 \| + 2.89 row 13 : 13 \| 18 \| duane carter \| stevens-offenhauser \| 4:33.42 \| + 5.45 row 14 : 14 \| 21 \| spider webb \| maserati-offenhauser \| 4:37.46 \| + 9.49 row 15 : 16 \| 2 \| myron fohr \| marchese-offenhauser \| 4:33.32 \| + 5.35 row 16 : 17 \| 24 \| bayliss levrett \| adams-offenhauser \| 4:34.43 \| + 6.46 row 17 : 18 \| 45 \| dick rathmann \| watson-offenhauser \| 4:34.96 \| + 6.99 row 18 : 19 \| 7 \| paul russo \| nichels-offenhauser \| 4:35.25 \| + 7.28 row 19 : 21 \| 12 \| henry banks \| maserati-offenhauser \| 4:37.68 \| + 9.71 row 20 : 22 \| 67 \| bill schindler \| snowberger-offenhauser \| 4:31.31 \| + 3.34 row 21 : 23 \| 8 \| lee wallard \| moore-offenhauser \| 4:31.83 \| + 3.86 row 22 : 24 \| 55 \| troy ruttman \| lesovsky-offenhauser \| 4:32.91 \| + 4.94 row 23 : 26 \| 15 \| mack hellings \| kurtis kraft-offenhaus \| 4:35.32 \| + 7.35 row 24 : 27 \| 22 \| jimmy davies \| ewing-offenhauser \| 4:36.07 \| + 8.10 row 25 : 29 \| 27 \| walt ader \| rae-offenhauser \| 4:37.05 \| + 9.08 row 26 : 30 \| 77 \| jackie holmes \| olson-offenhauser \| 4:37.57 \| + 9.60 row 27 : 32 \| 61 \| jimmy jackson \| kurtis kraft-cummins \| 4:38.62 \| + 10.65 row 28 : 33 \| 62 \| johnny mcdowell \| kurtis kraft-offenhaus \| 4:37.58 \| + 9.61 ] Execute this SQL based on the above table: select constructor order by driver desc limit 1	kurtis kraft-offenhauser
[ header: # \| date \| film \| gross \| notes row 1 : 2 \| january 13, 2002 \| the lord of the rings: the fellowship \| $16,201,260 \| None row 2 : 3 \| january 20, 2002 \| black hawk down \| $28,611,736 \| black hawk down broke save the last dance' row 3 : 5 \| february 3, 2002 \| black hawk down \| $11,112,555 \| None row 4 : 8 \| february 24, 2002 \| queen of the damned \| $14,757,535 \| None row 5 : 11 \| march 17, 2002 \| ice age \| $46,312,454 \| ice age broke liar l row 6 : 13 \| march 31, 2002 \| panic room \| $30,056,751 \| None row 7 : 14 \| april 7, 2002 \| panic room \| $18,244,157 \| None row 8 : 15 \| april 14, 2002 \| changing lanes \| $17,128,062 \| None row 9 : 24 \| june 16, 2002 \| scooby-doo \| $54,155,312 \| None row 10 : 26 \| june 30, 2002 \| mr. deeds \| $37,162,787 \| None row 11 : 28 \| july 14, 2002 \| men in black ii \| $24,410,311 \| None row 12 : 29 \| july 21, 2002 \| road to perdition \| $15,412,515 \| road to perdition reached #1 in its second weekend row 13 : 32 \| august 11, 2002 \| xxx \| $44,506,103 \| None row 14 : 33 \| august 18, 2002 \| xxx \| $22,111,421 \| None row 15 : 35 \| september 1, 2002 \| signs \| $13,441,194 \| None row 16 : 37 \| september 15, 2002 \| barbershop \| $20,627,433 \| None row 17 : 39 \| september 29, 2002 \| sweet home alabama \| $35,648,740 \| sweet home alabama broke rush hour row 18 : 43 \| october 27, 2002 \| jackass: the movie \| $22,763,437 \| None row 19 : 45 \| november 10, 2002 \| 8 mile \| $51,240,555 \| None row 20 : 47 \| november 24, 2002 \| die another day \| $47,072,040 \| None row 21 : 48 \| december 1, 2002 \| harry potter and the chamber of secrets \| $32,117,496 \| harry potter and the chamber of secrets ] Execute this SQL based on the above table: select count ( notes ) where # >= 208	0
[ header: rank \| wrestler \| no. of reigns \| combined days row 1 : 1 \| lou thesz \| 3 \| 3749 row 2 : 2 \| ric flair \| 8 \| 3103 row 3 : 3 \| harley race \| 7 \| 1799 row 4 : 4 \| dory funk, jr \| 1 \| 1563 row 5 : 5 \| dan severn \| 2 \| 1559 row 6 : 6 \| gene kiniski \| 1 \| 1131 row 7 : 7 \| adam pearce \| 5 \| 1078 row 8 : 8 \| jeff jarrett \| 6 \| 1006 row 9 : 9 \| pat o'connor \| 1 \| 903 row 10 : 10 \| jack brisco \| 2 \| 866 row 11 : 11 \| orville brown \| 1 \| 692 row 12 : 12 \| buddy rogers \| 1 \| 573 row 13 : 13 \| blue demon, jr \| 1 \| 505 row 14 : 14 \| naoya ogawa \| 2 \| 469 row 15 : 15 \| terry funk \| 1 \| 424 row 16 : 16 \| dick hutton \| 1 \| 421 row 17 : 17 \| rob conway \| 1 \| 294 row 18 : 18 \| christian cage \| 2 \| 245 row 19 : 19 \| whipper billy watson \| 1 \| 239 row 20 : 20 \| sting \| 2 \| 216 row 21 : 21 \| a.j. styles \| 3 \| 196 row 22 : 22 \| mike rapada \| 2 \| 176 row 23 : 23 \| steve corino \| 1 \| 175 row 24 : 24 \| colt cabana \| 2 \| 152 row 25 : 25 \| barry windham \| 1 \| 147 row 26 : 26 \| masahiro chono \| 1 \| 145 row 27 : 27 \| kahagas \| 1 \| 134 row 28 : 28 \| ron killings \| 2 \| 119 row 29 : 29 \| dusty rhodes \| 3 \| 107 row 30 : 30 \| chris candido \| 1 \| 97 row 31 : 31 \| raven \| 1 \| 88 row 32 : 32 \| satoshi kojima \| 1 \| 159 row 33 : 33 \| shinya hashimoto \| 1 \| 84 row 34 : 34 \| the sheik \| 1 \| 79 row 35 : 35 \| ricky steamboat \| 1 \| 76 row 36 : 36 \| ron garvin \| 1 \| 62 row 37 : 37 \| abyss \| 1 \| 56 row 38 : 39 \| ken shamrock \| 1 \| 49 row 39 : 39 \| brent albright \| 1 \| 49 row 40 : 40 \| the great muta \| 1 \| 48 row 41 : 41 \| sabu \| 1 \| 38 row 42 : 42 \| giant baba \| 3 \| 19 row 43 : 43 \| kerry von erich \| 1 \| 18 row 44 : 44 \| gary steele \| 1 \| 7 row 45 : 45 \| tommy rich \| 1 \| 4 row 46 : 46 \| rhino \| 1 \| 2 row 47 : 47 \| shane douglas \| 1 \| <1 ] Execute this SQL based on the above table: select count ( * ) where wrestler = '18'	0
[ header: outcome \| no. \| date \| tournament \| surface \| partner \| opponents in the final \| score in the final row 1 : runner-up \| 1 \| 1969 \| los angeles, u.s \| hard \| jim mcmanus \| pancho gonzales ron \| 3-6, 4-6 row 2 : runner-up \| 2 \| 1970 \| merion, u.s \| hard \| jim mcmanus \| william bowrey ray ruf \| 6-3, 2-6, 5-7 row 3 : winner \| 1 \| 1971 \| columbus, u.s \| hard \| jim mcmanus \| jimmy connors ros \| 4-6, 7-5, 6-2 row 4 : winner \| 2 \| 1971 \| merion, u.s \| hard \| clark graebner \| robert mckinley \| 7-6, 6-3 row 5 : winner \| 3 \| 1971 \| sacramento, u. \| hard \| jim mcmanus \| bob maud frew m \| 7-6, 6-3 row 6 : winner \| 4 \| 1972 \| los angeles, u.s \| outdoor \| jim mcmanus \| ilie nastase i \| 6-2, 5-7, 6-4 row 7 : winner \| 5 \| 1972 \| london/queen's club \| grass \| jim mcmanus \| jurgen fassbender karl me \| 4-6, 6-3, 7-5 row 8 : runner-up \| 3 \| 1972 \| tanglewood, u.s \| other \| jim mcmanus \| bob hewitt andrew \| 4-6, 4-6 ] Execute this SQL based on the above table: select ( select date order by date desc limit 1 ) - ( select date order by date asc limit 1526 )	3
[ header: year \| party affiliation \| winner \| number of votes \| party affiliation \| loser \| number of votes \| percentage of votes row 1 : 1920 \| republican \| william f. kopp \| 38100 \| democrat \| e.w. mcmanus \| 20977 \| 64% - 36% row 2 : 1930 \| republican \| william f. kopp \| 27053 \| democrat \| max a. conrad \| 15538 \| 63% - 36% row 3 : 1932 \| democrat \| edward c. eich \| 55378 \| republican \| william f. kopp \| 46738 \| 54% - 46% row 4 : 1936 \| democrat \| edward c. eich \| 55721 \| republican \| john n. calhoun \| 53474 \| 51% - 49% row 5 : 1938 \| republican \| thomas e. martin \| 46636 \| democrat \| james p. gaffney \| 33765 \| 58% - 42% row 6 : 1940 \| republican \| thomas e. martin \| 70120 \| democrat \| mrs. zoe \| 46040 \| 60% - 40% row 7 : 1946 \| republican \| thomas e. martin \| 52488 \| democrat \| clair a. williams \| 32849 \| 62% - 38% row 8 : 1948 \| republican \| thomas e. martin \| 70959 \| democrat \| james d. france \| 60860 \| 53% - 46% row 9 : 1950 \| republican \| thomas e. martin \| 70058 \| democrat \| james d. france \| 43140 \| 62% - 38% row 10 : 1954 \| republican \| fred schwengel \| 67128 \| democrat \| john o'connor \| 50577 \| 57% - 43% row 11 : 1960 \| republican \| fred schwengel \| 104737 \| democrat \| walter j. guenther \| 67287 \| 61% - 39% row 12 : 1962 \| republican \| fred schwengel \| 65975 \| democrat \| harold stephens \| 42000 \| 61% - 39% row 13 : 1964 \| democrat \| john r. schmidhauser \| 84042 \| republican \| fred schwengel \| 80697 \| 51% - 49% row 14 : 1966 \| republican \| fred schwengel \| 64795 \| democrat \| john r. schmidhauser \| 60534 \| 51% - 48% row 15 : 1968 \| republican \| fred schwengel \| 91419 \| democrat \| john r. schmidhauser \| 81049 \| 53% - 47% row 16 : 1970 \| republican \| fred schwengel \| 60270 \| democrat \| edward mezvinsky \| 59505 \| 50% - 49% row 17 : 1974 \| democrat \| edward mezvinsky \| 75687 \| republican \| james a. leach \| 63540 \| 54% - 46% row 18 : 1978 \| republican \| james a. leach \| 79940 \| democrat \| richard e. meyers \| 45037 \| 63% - 36% row 19 : 1982 \| republican \| james a. leach \| 89595 \| democrat \| bill gluba \| 61734 \| 59% - 41% row 20 : 1984 \| republican \| james a. leach \| 131182 \| democrat \| kevin ready \| 65293 \| 68% - 33% row 21 : 1986 \| republican \| james a. leach \| 86834 \| democrat \| john r. whitaker \| 43985 \| 66% - 34% ] Execute this SQL based on the above table: select count ( loser )	21
[ header: # \| title \| english translation \| original album \| length row 1 : 1 \| mimpi yang sempurn \| a perfect dream \| kisah 2002 malam \| 4:30 row 2 : 2 \| bintang di surga \| stars in the heaven \| bintang di surga \| None row 3 : 3 \| aku dan bintang \| the stars and me \| taman langit \| 3:39 row 4 : 4 \| jauh mimpiku \| distant dreams of mine \| ost. alexandria \| None row 5 : 5 \| hari yang cerah un \| a bright day for a lonely soul \| hari yang cerah \| 3:59 row 6 : 6 \| menunggu pagi \| waiting for dawn \| ost. alexandria \| None row 7 : 7 \| khayalan tingkat ting \| high-level imagination \| bintang di surga \| None row 8 : 8 \| sahabat \| best friend \| taman langit \| 4:33 row 9 : 9 \| sally sendiri \| sally alone \| hari yang cerah \| 4:17 row 10 : 10 \| langit tak mendengar \| the sky didn't listen \| ost. alexandria \| None row 11 : 11 \| di belakangku \| behind me \| bintang di surga \| None row 12 : 12 \| kita tertawa \| we laugh \| taman langit \| 3:29 row 13 : 13 \| membebaniku \| burdening me \| ost. alexandria \| 4:25 row 14 : 14 \| cobalah mengerti \| try to understand \| hari yang cerah \| 3:30 row 15 : 15 \| topeng \| mask \| taman langit \| 4:25 ] Execute this SQL based on the above table: select english translation where # >= 10	the sky didn't listen, behind me, we laugh, burdening me, try to understand, mask
[ header: place \| code \| area (km2) \| population \| most spoken language row 1 : beatrix mine \| 40701 \| 0.17 \| 2492 \| sotho row 2 : boipatong \| 40702 \| 0.31 \| 1501 \| sotho row 3 : brandfort \| 40703 \| 3.2 \| 1516 \| afrikaans row 4 : fora \| 40704 \| 0.05 \| 530 \| sotho row 5 : ikgomotseng \| 40705 \| 1.07 \| 2254 \| tswana row 6 : joel mine \| 40706 \| 0.11 \| 728 \| sotho row 7 : lusaka \| 40707 \| 1.4 \| 6110 \| sotho row 8 : majwemasweu \| 40708 \| 2.5 \| 10328 \| sotho row 9 : makeleketla \| 40709 \| 1.35 \| 6629 \| sotho row 10 : masilo \| 40710 \| 3.02 \| 14903 \| sotho row 11 : star diamond mine \| 40712 \| 0.11 \| 212 \| sotho row 12 : theunissen \| 40713 \| 15.11 \| 1667 \| afrikaans row 13 : tshepong \| 40714 \| 0.54 \| 1710 \| sotho row 14 : verkeerdevlei \| 40715 \| 1.22 \| 151 \| afrikaans row 15 : winburg \| 40716 \| 70.22 \| 3371 \| sotho row 16 : remainder of the municipality \| 40711 \| 6696.44 \| 10304 \| sotho ] Execute this SQL based on the above table: select place order by code limit 1	beatrix mine
[ header: area served \| city of license \| vc \| rf \| callsign \| network \| notes row 1 : cape girardeau \| ~harrisburg il \| 3 \| 34 \| wsil-tv \| abc \| None row 2 : cape girardeau \| ~paducah ky \| 6 \| 32 \| wpsd-tv \| nbc \| None row 3 : cape girardeau \| cape girardeau \| 23 \| 22 \| kbsi \| fox \| None row 4 : cape girardeau \| ~marion il \| 27 \| 17 \| wtct \| ind \| None row 5 : cape girardeau \| ~paducah ky \| 49 \| 49 \| wdka \| mnt \| None row 6 : columbia/jefferson city \| sedalia \| 6 \| 15 \| kmos-tv \| pbs \| None row 7 : columbia/jefferson city \| columbia \| 17 \| 17 \| kmiz \| abc \| None row 8 : hannibal \| ~quincy il \| 10 \| 10 \| wgem-tv \| nbc \| None row 9 : hannibal \| ~quincy il \| 16 \| 32 \| wtjr \| ind \| None row 10 : joplin \| ~pittsburg ks \| 7 \| 7 \| koam-tv \| cbs \| None row 11 : joplin \| joplin \| 12 \| 43 \| kode-tv \| abc \| None row 12 : joplin \| ~pittsburg ks \| 14 \| 13 \| kfjx \| fox \| None row 13 : joplin \| joplin \| 26 \| 25 \| kozj \| pbs \| satellite of kozk ch. row 14 : kansas city \| kansas city \| 4 \| 34 \| wdaf-tv \| fox \| None row 15 : kansas city \| kansas city \| 5 \| 24 \| kctv \| cbs \| None row 16 : kansas city \| kansas city \| 9 \| 29 \| kmbc-tv \| abc \| None row 17 : kansas city \| kansas city \| 19 \| 18 \| kcpt \| pbs \| None row 18 : kansas city \| kansas city \| 29 \| 31 \| kcwe \| cw \| None row 19 : kansas city \| kansas city \| 41 \| 42 \| kshb-tv \| nbc \| None row 20 : kirksville \| kirksville \| 3 \| 33 \| ktvo \| abc \| None row 21 : kirksville \| ~ottumwa i \| 15 \| 15 \| kyou-tv \| fox \| None row 22 : st. louis \| st. louis \| 24 \| 14 \| knlc \| ind \| None row 23 : st. louis \| ~east st. louis \| 46 \| 47 \| wrbu \| mnt \| None row 24 : springfield \| springfield \| 3 \| 44 \| kytv \| nbc \| None row 25 : springfield \| springfield \| 27 \| 28 \| kozl-tv \| ind \| None row 26 : springfield \| ~harrison ar \| 31 \| 31 \| kwbm \| ind \| None row 27 : springfield \| springfield \| 33 \| 19 \| kspr \| abc \| k15cz (cw) on row 28 : springfield \| osage beach \| 49 \| 49 \| krbk \| fox \| None row 29 : springfield \| springfield \| 8 \| 8 \| krft-ld \| mundofox \| tnn on 8.2, my family ] Execute this SQL based on the above table: select rf where network = 'fox'	22, 13, 34, 15, 49
[ header: year \| single \| chart \| position row 1 : 1975 \| "sun goddess" \| black singles \| 20 row 2 : 1975 \| "sun goddess" \| disco singles \| 5 row 3 : 1975 \| "sun goddess" \| pop singles \| 44 row 4 : 1976 \| "can't hide love" \| black singles \| 11 row 5 : 1976 \| "can't hide love" \| pop singles \| 39 row 6 : 1976 \| "sing a song/gratitude" \| club play singles \| 1 row 7 : 1976 \| "sing a song" \| black singles \| 1 row 8 : 1976 \| "sing a song" \| pop singles \| 5 ] Execute this SQL based on the above table: select min ( year )	1975
[ header: call sign \| frequency \| city of license \| licensee \| format row 1 : kacl \| 98.7 fm \| bismarck \| townsquare media bismarck license, ll \| classic hits row 2 : kauj \| 100.9 fm \| grafton \| simmons broadcasting \| oldies row 3 : kbep-lp \| 93.7 fm \| bismarck \| bismarck educational prayer association \| None row 4 : kbmk \| 88.3 fm \| bismarck \| educational media foundation \| contemporary christian row 5 : kdkt \| 1410 am \| beulah \| digital syndicate network \| all sports row 6 : kdlr \| 1240 am \| devils lake \| double z broadcasting \| classic country row 7 : kdsr \| 101.1 fm \| williston \| williston community broadcasting corp. d \| adult hits row 8 : kegk \| 106.9 fm \| wahpeton \| smahh communications ii \| classic hits row 9 : keya \| 88.5 fm \| belcourt \| keya, inc \| country row 10 : keyz \| 660 am \| williston \| ccr-williston i \| news talk information row 11 : kfaa \| 89.5 fm \| horace \| selah corporation \| contemporary christian row 12 : kfgo \| 790 am \| fargo \| midwest communications, inc \| news talk information row 13 : kfnw \| 1200 am \| west fargo \| northwestern college \| religious row 14 : kjkr \| 88.1 fm \| jamestown \| jamestown college \| None row 15 : kkxl-fm \| 92.9 fm \| grand forks \| citicasters licenses, inc \| pop contemporary hit radio row 16 : kltc \| 1460 am \| dickinson \| cc licenses, llc \| classic country row 17 : kltq \| 97.9 fm \| beulah \| synergy broadcast north dakota, \| None row 18 : kmav-fm \| 105.5 fm \| mayville \| kmsr, inc \| country row 19 : kmsr \| 1520 am \| mayville \| kmsr, inc \| all sports row 20 : kmxa-fm \| 99.9 fm \| minot \| cc licenses, llc \| adult contemporary row 21 : kndc \| 1490 am \| hettinger \| schweitzer media \| country row 22 : kndk \| 1080 am \| langdon \| kndk, inc \| news talk information row 23 : knds-lp \| 96.3 fm \| fargo \| alliance for the arts and humanities \| None row 24 : knox \| 1310 am \| grand forks \| leighton enterprises, inc \| news talk information row 25 : koww-lp \| 98.1 fm \| burlington \| pointe of view institute \| None row 26 : kpfx \| 107.9 fm \| fargo \| l&l licensee, llc \| classic rock row 27 : kppr \| 89.5 fm \| williston \| prairie public broadcasting, inc \| variety row 28 : kqdj-fm \| 101.1 fm \| valley city \| sioux valley broadcasting \| pop contemporary hit radio row 29 : krrz \| 1390 am \| minot \| aloha station trust, llc \| oldies row 30 : krwk \| 101.9 fm \| fargo \| midwest communications, inc \| mainstream rock row 31 : ksjb \| 600 am \| jamestown \| chesterman communications of jamestown, \| classic country ] Execute this SQL based on the above table: select licensee order by frequency desc limit 1	kmsr, inc
[ header: year built \| works number \| wheel arr. \| gauge \| original owner \| name \| current location \| notes row 1 : 1882 \| 283 \| 0-4-0st \| 1 ft 10 3⁄4 in (5 \| penrhyn quarry \| charles \| penrhyn castle railway museum \| None row 2 : 1883 \| 316 \| 0-4-0st \| 2 ft \| penrhyn quarry \| gwynedd \| bressingham steam museum \| penrhyn port class row 3 : 1883 \| 317 \| 0-4-0st \| 1 ft 11 1⁄2 in (5 \| penrhyn quarry \| lilian \| launceston steam railway \| penrhyn port class row 4 : 1889 \| 493 \| 0-4-0st \| 1 ft 11 3⁄4 in (6 \| dinorwic quarry \| elidir \| llanberis lake railway \| previously named "red damsel" row 5 : 1890 \| 518 \| 2-2-0t \| (1000mm) \| s.v.t. 8 \| tortosa-la cava1 \| tortosa (catalonia, spa \| None row 6 : 1891 \| 554 \| 0-4-0st \| 1 ft 11 1⁄2 in (5 \| cilgwyn quarry, then penr \| lilla \| ffestiniog railway \| None row 7 : 1894 \| 606 \| 0-4-0st \| 2 ft \| penrhyn quarry \| alan george \| teifi valley railway \| None row 8 : 1896 \| 652 \| 0-4-0st \| 1 ft 11 1⁄2 in (5 \| groby granite, then dinorwic \| lady madcap \| welsh highland heritage railway \| originally named sextus row 9 : 1898 \| 680 \| 0-4-0st \| 2 ft (610 mm) \| dinorwic quarry \| george b \| bala lake railway \| None row 10 : 1898 \| 684 \| 0-4-0wt \| 18 in (457 mm) \| john knowles co \| jack \| armley mills industrial museum, leed \| None row 11 : 1899 \| 705 \| 0-4-0st \| 2 ft (610 mm) \| penrhyn quarry \| elin \| yaxham light railway \| previously at the lincolnshire coast row 12 : 1901 \| 763 \| 0-4-0st \| 1 ft 11 1⁄2 in (5 \| dorothea quarry \| dorothea \| launceston steam railway \| None row 13 : 1903 \| 823 \| 0-4-0st \| 2 ft \| dinorwic quarry \| irish mail \| west lancashire light railway \| None row 14 : 1909 \| 994 \| 0-4-0st \| 2 ft \| penrhyn quarry \| bill harvey \| bressingham steam museum \| previously george sholto row 15 : 1918 \| 1312 \| 4-6-0t \| 1 ft 11 1⁄2 in (5 \| british war department efo \| None \| pampas safari, gravatai \| [citation needed] row 16 : 1920 \| 1404 \| 0-4-0wt \| 18 in (457 mm) \| john knowles co \| gwen \| richard farmer current owner, northridge, \| None row 17 : 1922 \| 1429 \| 0-4-0st \| 2 ft (610 mm) \| dinorwic \| lady joan \| bredgar and wormshill light \| None row 18 : 1922 \| 1430 \| 0-4-0st \| 1 ft 11 3⁄4 in (6 \| dinorwic quarry \| dolbadarn \| llanberis lake railway \| None ] Execute this SQL based on the above table: select gauge order by works number desc limit 1	1 ft 11 3⁄4 in (603 mm)
[ header: school \| team name \| town \| county \| enrollment (2010-11 & 2011-12) \| primary mshsaa class* \| football class row 1 : benton high school \| (lady) cardinals \| st. joseph \| buchanan \| 846 \| 4 \| 4 row 2 : bishop leblond high school \| (lady) golden eagle \| st. joseph \| buchanan \| 314 \| 3 \| 2 row 3 : cameron high school \| (lady) dragons \| cameron \| clinton \| 503 \| 3 \| 3 row 4 : chillicothe high school (missouri) \| (lady) hornets \| chillicothe \| livingston \| 638 \| 4 \| 3 row 5 : lafayette high school \| fighting irish \| st. joseph \| buchanan \| 801 \| 4 \| 4 row 6 : maryville high school \| (lady) spoofhounds \| maryville \| nodaway \| 473 \| 3 \| 2 row 7 : savannah high school \| (lady) savages \| savannah \| andrew \| 743 \| 4 \| 4 row 8 : smithville high school \| (lady) warriors \| smithville \| clay \| 727 \| 4 \| 4 ] Execute this SQL based on the above table: select team name where enrollment (2010-11 & 2011-12) < ( select min ( enrollment (2010-11 & 2011-12) ) where team name = 'fighting irish' ) order by enrollment (2010-11 & 2011-12) desc limit 1	(lady) savages
[ header: # \| date \| opponent \| score \| win \| loss \| save \| attendance \| record \| other info row 1 : 104 \| august 2 \| phillies \| 3 - 2 10 \| smith (3-6) \| calhoun (0-1) \| None \| 33629 \| 54-50 \| None row 2 : 105 \| august 3 \| @ pirates \| 6 - 4 \| drabek (3-10) \| maddux (6-10) \| gott (1) \| 7281 \| 54-51 \| None row 3 : 106 \| august 4 \| @ pirates \| 3 - 2 11 \| mason (3-1) \| gideon (1-2) \| None \| 8744 \| 55-51 \| None row 4 : 107 \| august 5 \| @ pirates \| 10 - 0 \| fisher (7-6) \| moyer (9-8) \| None \| 7726 \| 55-52 \| None row 5 : 110 \| august 8 \| @ mets \| 5 - 3 \| mason (4-1) \| schulze (1-2) \| smith (27) \| 47893 \| 56-54 \| None row 6 : 111 \| august 9 \| @ mets \| 6 - 3 \| sanderson (5-6) \| gooden (9-4) \| smith (28) \| 49031 \| 57-54 \| None row 7 : 112 \| august 10 \| @ phillies \| 4 - 2 \| frohwirth (1-0) \| moyer (9-9) \| bedrosian (31) \| 26796 \| 57-55 \| None row 8 : 113 \| august 11 \| @ phillies \| 9 - 8 13 \| k. gross (7-10) \| tewksbury (0-4) \| None \| 30459 \| 57-56 \| None row 9 : 114 \| august 12 \| @ phillies \| 13 - 7 \| calhoun (1-1) \| lynch (1-7) \| None \| 36190 \| 57-57 \| None row 10 : 116 \| august 14 \| mets \| 6 - 1 \| sanderson (6-6) \| mitchell (3-5) \| None \| 17811 \| 59-57 \| None row 11 : 117 \| august 15 \| mets \| 7 - 3 \| moyer (10-9) \| leach (10-1) \| dipino (2) \| 32425 \| 60-57 \| None row 12 : 118 \| august 16 \| mets \| 23 - 10 \| darling (10-7) \| maddux (6-11) \| None \| 32731 \| 60-58 \| billy williams day ruined by row 13 : 119 \| august 18 \| @ braves \| 9 - 5 \| mahler (7-12) \| lynch (1-8) \| acker (8) \| 17469 \| 60-59 \| None row 14 : 120 \| august 19 \| @ braves \| 9 - 1 \| sanderson (7-6) \| puleo (5-6) \| None \| 10523 \| 61-59 \| None row 15 : 121 \| august 20 \| @ braves \| 13 - 4 \| acker (1-5) \| moyer (10-10) \| None \| 11647 \| 61-60 \| None row 16 : 123 \| august 22 \| astros \| 5 - 4 11 \| andersen (8-4) \| dipino (3-3) \| smith (21) \| 32552 \| 62-61 \| None row 17 : 124 \| august 23 \| astros \| 4 - 2 \| heathcock (3-1) \| sutcliffe (15-6) \| smith (22) \| 33934 \| 62-62 \| None row 18 : 126 \| august 27 \| braves \| 8 - 6 8 \| lancaster (4-1) \| mahler (7-13) \| dipino (3) \| 19006 \| 63-63 \| None row 19 : 127 \| august 28 \| @ reds \| 6 - 5 10 \| smith (4-7) \| franco (7-5) \| None \| 28223 \| 64-63 \| None row 20 : 128 \| august 29 \| @ reds \| 4 - 1 \| browning (6-11) \| sanderson (7-7) \| None \| 37783 \| 64-64 \| None ] Execute this SQL based on the above table: select score where id = ( select id where score = '6 - 5 10' ) - 1	8 - 6 8
[ header: institution \| city \| state \| team name \| affiliation \| enrollment \| home conference row 1 : augustana college (illinois) \| rock island \| illinois \| vikings \| private/lutheran \| 2500 \| cciw row 2 : aurora university \| aurora \| illinois \| spartans \| private/non-sectarian \| 1685 \| northern row 3 : beloit college \| beloit \| wisconsin \| buccaneers \| private/non-sectarian \| 1300 \| midwest row 4 : benedictine university \| lisle \| illinois \| eagles \| private/catholic \| 3282 \| northern row 5 : carthage college \| kenosha \| wisconsin \| red men \| private/lutheran \| 2188 \| cciw row 6 : concordia university wisconsin \| mequon \| wisconsin \| falcons \| private/lutheran \| 1608 \| northern row 7 : university of dubuque \| dubuque \| iowa \| spartans \| private/presbyterian \| 1559 \| iiac row 8 : elmhurst college \| elmhurst \| illinois \| bluejays \| private/united church of christ \| 3400 \| cciw row 9 : fontbonne university \| st. louis \| missouri \| griffins \| private/catholic \| 2924 \| sliac row 10 : college of mount st. josep \| cincinnati \| ohio \| lions \| private/catholic \| 1334 \| hcac row 11 : north central college \| naperville \| illinois \| cardinals \| private/methodist \| 2900 \| cciw ] Execute this SQL based on the above table: select institution order by team name desc limit 1	augustana college (illinois)
[ 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 listed owner(s) where # = ( select # where listed owner(s) = 'james finch' ) - 1	billy jones
[ header: province \| capital \| area (km2) \| population \| density row 1 : azua \| azua \| 2531.77 \| 298246 \| 118 row 2 : bahoruco \| neiba \| 1282.23 \| 111269 \| 87 row 3 : barahona \| barahona \| 1739.38 \| 232818 \| 134 row 4 : dajabon \| dajabon \| 1020.73 \| 87274 \| 86 row 5 : distrito nacional \| santo domingo \| 104.44 \| 1402749 \| 13431 row 6 : duarte \| san francisco de macoris \| 1605.35 \| 338649 \| 211 row 7 : el seibo \| el seibo \| 1786.8 \| 110212 \| 62 row 8 : elias pina \| comendador \| 1426.2 \| 84632 \| 59 row 9 : espaillat \| moca \| 838.62 \| 333401 \| 398 row 10 : hato mayor \| hato mayor \| 1329.29 \| 103032 \| 78 row 11 : hermanas mirabal \| salcedo \| 440.43 \| 121887 \| 277 row 12 : independencia \| jimani \| 2006.44 \| 74583 \| 37 row 13 : la altagracia \| higuey \| 3010.34 \| 372289 \| 124 row 14 : la romana \| la romana \| 653.95 \| 344580 \| 527 row 15 : la vega \| concepcion de la vega \| 2287.24 \| 447905 \| 196 row 16 : maria trinidad sanchez \| nagua \| 1271.71 \| 195886 \| 154 row 17 : monsenor nouel \| bonao \| 992.39 \| 203183 \| 205 row 18 : monte cristi \| monte cristi \| 1924.35 \| 150833 \| 78 row 19 : monte plata \| monte plata \| 2632.14 \| 222641 \| 85 row 20 : pedernales \| pedernales \| 2074.53 \| 52165 \| 25 row 21 : peravia \| bani \| 792.33 \| 217241 \| 274 row 22 : puerto plata \| puerto plata \| 1852.9 \| 498232 \| 269 row 23 : samana \| samana \| 853.74 \| 139707 \| 164 row 24 : san cristobal \| san cristobal \| 1265.77 \| 640066 \| 506 row 25 : san jose de ocoa \| san jose de ocoa \| 855.4 \| 97640 \| 114 row 26 : san juan \| san juan de la magu \| 3569.39 \| 317293 \| 89 row 27 : san pedro de macori \| san pedro de macori \| 1255.46 \| 392911 \| 313 row 28 : sanchez ramirez \| cotui \| 1196.13 \| 248807 \| 208 row 29 : santiago \| santiago de los caballe \| 2836.51 \| 1543362 \| 544 row 30 : santiago rodriguez \| sabaneta \| 1111.14 \| 99044 \| 89 row 31 : santo domingo \| santo domingo este \| 1296.35 \| 3263053 \| 2517 row 32 : valverde \| mao \| 823.38 \| 217026 \| 264 row 33 : total \| None \| 48666.83 \| 12935223 \| 266 ] Execute this SQL based on the above table: select ( select density where province = 'puerto plata' ) - ( select density where province = 'independencia' )	232.0
[ header: rank \| name \| nation \| time \| speed \| note row 1 : 1 \| vilija sereikaite \| lithuania \| 3:33.766 \| 50.522 \| q row 2 : 2 \| ellen van dijk \| netherlands \| 3:35.951 \| 50.011 \| q row 3 : 3 \| joanna rowsell \| united kingdom \| 3:37.641 \| 49.623 \| q row 4 : 4 \| svitlana halyuk \| ukraine \| 3:42.498 \| 48.539 \| q row 5 : 5 \| aksana papko \| belarus \| 3:43.935 \| 48.288 \| None row 6 : 6 \| oxana kozonchuk \| russia \| 3:45.132 \| 47.971 \| None row 7 : 7 \| jarmila machacova \| czech republic \| 3:47.209 \| 47.533 \| None row 8 : 8 \| stephanie pohl \| germany \| 3:47.483 \| 47.476 \| None row 9 : 9 \| lisa brennauer \| germany \| 3:48.017 \| 47.364 \| None row 10 : 10 \| edyta jasinska \| poland \| 3:48.628 \| 47.238 \| None row 11 : 11 \| audrey cordon \| france \| 3:49.376 \| 47.084 \| None row 12 : 12 \| alena amialyusik \| belarus \| 3:49.711 \| 47.015 \| None row 13 : 13 \| hannah mayho \| united kingdom \| 3:50.176 \| 46.92 \| None row 14 : 14 \| viktoriya kondel \| russia \| 3:51.349 \| 46.682 \| None row 15 : 15 \| oksana lyesnik \| ukraine \| 3:51.543 \| 46.643 \| None row 16 : 16 \| elise van hage \| netherlands \| 3:55.349 \| 45.889 \| None row 17 : 17 \| dominika maczka \| poland \| 4:01.597 \| 44.702 \| None ] Execute this SQL based on the above table: select name where nation = 'poland'	edyta jasinska, dominika maczka
[ header: rank \| bib \| country \| distance (m) \| points \| time difference row 1 : 1 \| 14 \| germany tino edelmann \| 124.5 127.0 \| 264.3 128.0 136.3 \| 0:00 row 2 : 2 \| 10 \| japan akito watabe t \| 123.5 126.0 \| 258.4 126.4 132.0 \| +0:12 row 3 : 3 \| 12 \| austria bernhard gruber w \| 123.0 122.0 \| 251.8 123.3 128.5 \| +0:25 row 4 : 4 \| 11 \| france jason lamy-chappuis \| 120.5 118.5 \| 242.7 121.8 120.9 \| +0:43 row 5 : 5 \| 13 \| norway mikko kokslien \| 118.0 118.5 \| 238.1 116.8 121.3 \| +0:52 row 6 : 6 \| 8 \| czech republic miroslav d \| 114.5 120.0 \| 232.8 110.7 122.1 \| +1:03 row 7 : 7 \| 7 \| slovenia mitja oranic mar \| 109.5 123.5 \| 227.8 99.5 128.3 \| +1:13 row 8 : 8 \| 6 \| finland ilkka herola \| 120.5 113.5 \| 226.6 115.4 111.2 \| +1:15 row 9 : 9 \| 4 \| estonia han-hendrik pih \| 113.0 113.0 \| 217.5 107.4 110.1 \| +1:34 row 10 : 10 \| 9 \| united states bill demong taylor \| 111.0 112.5 \| 214.1 104.9 109.2 \| +1:40 row 11 : 11 \| 1 \| ukraine viktor pasichny \| 107.0 115.0 \| 206.2 95.7 110.5 \| +1:56 row 12 : 12 \| 2 \| russia ernest yahin \| 110.0 109.5 \| 204.8 101.8 103.0 \| +1:59 row 13 : 13 \| 5 \| italy armin bauer aless \| 105.0 113.5 \| 203.0 92.7 110.3 \| +2:03 row 14 : 14 \| 3 \| switzerland seppi hur \| 102.5 113.0 \| 196.2 88.1 108.1 \| +2:16 ] Execute this SQL based on the above table: select count ( country ) where country = 1	0
[ header: year \| vote % \| place \| seats \| place \| cabinet row 1 : 1945 \| None \| None \| 25 \| 1st \| yes row 2 : 1948 \| None \| None \| 22 \| 1st \| yes row 3 : 1951 \| None \| None \| 21 \| 1st \| yes row 4 : 1954 \| 42.4 \| 1st \| 26 \| 1st \| yes row 5 : 1959 \| 36.9 \| 1st \| 21 \| 1st \| yes row 6 : 1964 \| 33.3 \| 2nd \| 22 \| 1st \| yes row 7 : 1968 \| 35.2 \| 1st \| 21 \| 1st \| yes row 8 : 1974 \| 27.6 \| 2nd \| 18 \| 1st \| no row 9 : 1979 \| 34.5 \| 1st \| 24 \| 1st \| yes row 10 : 1984 \| 34.9 \| 1st \| 25 \| 1st \| yes row 11 : 1989 \| 32.4 \| 1st \| 22 \| 1st \| yes row 12 : 1994 \| 30.3 \| 1st \| 21 \| 1st \| yes row 13 : 1999 \| 30.1 \| 1st \| 19 \| 1st \| yes row 14 : 2004 \| 36.1 \| 1st \| 24 \| 1st \| yes row 15 : 2009 \| 38 \| 1st \| 26 \| 1st \| yes row 16 : 2013 \| 33.6 \| 1st \| 23 \| 1st \| no ] Execute this SQL based on the above table: select place order by year limit 1	1st
[ header: year \| single \| charts fr \| charts bel wa \| charts swi \| certification \| album row 1 : 1997 \| "sur la route" \| 14 \| None \| None \| \| la derniere annee row 2 : 2000 \| "j'en reve encore" \| 7 \| 4 \| None \| \| marcher dans le sable row 3 : 2001 \| "une seule vie (marcher dans le \| 30 \| None \| None \| \| marcher dans le sable row 4 : 2001 \| "tomber" \| 35 \| None \| None \| \| marcher dans le sable row 5 : 2004 \| "elle s'ennuie" \| 35 \| None \| 73 \| \| None row 6 : 2004 \| "elle danse seule" \| 22 \| None \| 46 \| \| un homme sans racines row 7 : 2011 \| "l'etranger" \| 59 \| None \| None \| \| sur ma route row 8 : 2013 \| "je me souviens de tout" \| 130 \| None \| None \| \| da palmas ] Execute this SQL based on the above table: select count ( * ) where single = '"je me souviens de tout"'	1
[ header: rank \| athlete \| country \| time \| notes row 1 : None \| yevgeny kulikov \| soviet union \| 39.17 \| or row 2 : None \| valery muratov \| soviet union \| 39.25 \| None row 3 : None \| dan immerfall \| united states \| 39.54 \| None row 4 : 4 \| mats wallberg \| sweden \| 39.56 \| None row 5 : 5 \| peter mueller \| united states \| 39.57 \| None row 6 : 6 \| jan bazen \| netherlands \| 39.78 \| None row 7 : 6 \| arnulf sunde \| norway \| 39.78 \| None row 8 : 8 \| andrey malikov \| soviet union \| 39.85 \| None row 9 : 9 \| oloph granath \| sweden \| 39.93 \| None row 10 : 10 \| jim chapin \| united states \| 40.09 \| None row 11 : 11 \| tom overend \| canada \| 40.22 \| None row 12 : 11 \| masaki suzuki \| japan \| 40.22 \| None row 13 : 13 \| johan granath \| sweden \| 40.25 \| None row 14 : 14 \| gaetan boucher \| canada \| 40.53 \| None row 15 : 15 \| pertti niittyla \| finland \| 40.65 \| None row 16 : 16 \| norio hirate \| japan \| 40.85 \| None row 17 : 16 \| archie marshall \| great britain \| 40.85 \| None row 18 : 18 \| mikio oyama \| japan \| 40.9 \| None row 19 : 19 \| hans van helden \| netherlands \| 40.91 \| None row 20 : 19 \| emmanuel michon \| france \| 40.91 \| None row 21 : 21 \| kay arne stenshj \| norway \| 40.94 \| None row 22 : 22 \| lee yeong-ha \| south korea \| 41.08 \| None row 23 : 23 \| bruno toniolli \| italy \| 41.44 \| None row 24 : 24 \| harald oehme \| east germany \| 41.54 \| None row 25 : 25 \| colin coates \| australia \| 41.77 \| None row 26 : 26 \| berend schabus \| austria \| 42.33 \| None row 27 : 27 \| heinz steinberger \| austria \| 43.28 \| None row 28 : 28 \| jan egil storholt \| norway \| 18 \| None row 29 : None \| horst freese \| west germany \| dnf \| None ] Execute this SQL based on the above table: select athlete order by id desc limit 1	horst freese
[ header: name \| hanzi \| population (2005) \| area (km2) row 1 : qingxi \| 清溪镇 \| 20000 \| 2.9 row 2 : ruyi \| 如意镇 \| 15100 \| 33.85 row 3 : yintian \| 银田镇 \| 19500 \| 28 row 4 : daping \| 大坪乡 \| 14300 \| 32 row 5 : yongyi \| 永义乡 \| 10600 \| 24 row 6 : shaoshan \| 韶山乡 \| 14700 \| 37.62 row 7 : yanglin \| 杨林乡 \| 20600 \| 58.8 ] Execute this SQL based on the above table: select population (2005) order by name desc limit 1	10600
[ header: # \| title \| directed by \| written by \| original air date \| production code row 1 : 1 \| "pilot" \| michael dinner \| peter elkoff \| june 14, 2004 \| 1aje01 row 2 : 2 \| "tessa" \| patrick norris \| liz heldens \| june 21, 2004 \| 1aje02 row 3 : 3 \| "surprise party" \| james marshall \| kevin falls & matt m \| june 28, 2004 \| 1aje03 row 4 : 4 \| "meteor shower" \| craig zisk \| kevin falls & matt m \| july 5, 2004 \| 1aje04 row 5 : 5 \| "my boyfriend's back" \| david straiton \| dana baratta \| july 12, 2004 \| 1aje05 row 6 : 6 \| "secret service" \| david grossman \| jeff rake \| july 19, 2004 \| 1aje06 row 7 : 7 \| "more" \| michael fresco \| liz heldens \| august 2, 2004 \| 1aje07 row 8 : 8 \| "burned" \| kevin hooks \| karyn usher \| august 9, 2004 \| 1aje08 row 9 : 9 \| "ties that bind" \| patrick norris \| gretchen j. berg \| september 6, 2004 \| 1aje09 row 10 : 10 \| "vice" \| kenneth biller \| kenneth biller \| september 13, 2004 \| 1aje10 row 11 : 11 \| "alexandra" \| steve miner \| chris brancato \| september 20, 2004 \| 1aje11 row 12 : 12 \| "bellport" \| patrick norris \| peter elkoff \| september 27, 2004 \| 1aje12 row 13 : 13 \| "leverage" \| elodie keene \| kevin falls & matt m \| november 4, 2004 \| 1aje13 row 14 : 14 \| "illusions" \| george mendeluk \| kimberly costello \| november 11, 2004 \| 1aje14 row 15 : 15 \| "the big one" \| patrick norris \| gretchen j. berg \| november 18, 2004 \| 1aje15 row 16 : 16 \| "the cook, the waitress, the \| kenneth biller \| kenneth biller & dan \| december 2, 2004 \| 1aje16 row 17 : 17 \| "sucker punch" \| perry lang \| liz heldens \| december 9, 2004 \| 1aje17 row 18 : 18 \| "catwalk" \| michael fresco \| colleen mcguinness \| december 16, 2004 \| 1aje18 row 19 : 19 \| "shark" \| alan myerson \| kevin falls & matt m \| january 6, 2005 \| 1aje19 row 20 : 20 \| "the ex-games" \| fred gerber \| amy berg & andrew col \| january 13, 2005 \| 1aje20 row 21 : 21 \| "the end" \| elodie keene \| karyn usher \| unaired \| 1aje21 ] Execute this SQL based on the above table: select count ( * ) where production code = '1aje10'	1
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 15 august 2012 \| ullevaal stadion, \| norway \| 1-3 \| 2-3 \| friendly row 2 : 2 \| 11 september 2012 \| karaiskakis stadium, pir \| lithuania \| 2-0 \| 2-0 \| 2014 fifa world cup qualifier row 3 : 3 \| 14 august 2013 \| red bull arena, salzburg, austria \| austria \| 0-1 \| 0-2 \| friendly row 4 : 4 \| 14 august 2013 \| red bull arena, salzburg, austria \| austria \| 0-2 \| 0-2 \| friendly row 5 : 5 \| 6 september 2013 \| rheinpark stadion, \| liechtenstein \| 0-1 \| 0-1 \| 2014 fifa world cup qualifier row 6 : 6 \| 15 november 2013 \| karaiskakis stadium, pir \| romania \| 1-0 \| 3-1 \| 2014 fifa world cup qualifier - row 7 : 7 \| 15 november 2013 \| karaiskakis stadium, pir \| romania \| 3-1 \| 3-1 \| 2014 fifa world cup qualifier - row 8 : 8 \| 19 november 2013 \| arena nationala, bucharest, roman \| romania \| 0-1 \| 1-1 \| 2014 fifa world cup qualifier - ] Execute this SQL based on the above table: select count ( * ) where date = '14 august 2013'	2
[ header: season \| date \| jia-a/csl winner \| result \| fa cup winner \| scorers \| stadium row 1 : 1995 \| 9 december 1995 \| shanghai shenhua \| 1 - 0 \| jinan taishan ( \| fan zhiyi \| hongkou stadium, shangha row 2 : 1996 \| 9 march 1997 \| dalian wanda (now dalian \| 3 - 2 \| beijing guoan \| wang tao (2), l \| shenzhen stadium, shenzhen row 3 : 1997 \| 12 march 1998 \| dalian wanda (now dalian \| 1 - 2 aet (g \| beijing guoan \| wang tao, olivas \| wenzhou stadium, wenzhou row 4 : 1998 \| 7 march 1999 \| dalian wanda (now dalian \| 0 - 3 \| shanghai shenhua \| wu chengying, marcel \| mianyang stadium, mianyang row 5 : 1999 \| 4 march 2000 \| shandong luneng \| 2 - 4 \| liaoning fushun \| li xiaopeng, casiano \| hongkou stadium, shangha row 6 : 2000 \| 30 december 2000 \| dalian shide \| 4 - 1 \| chongqing lifan \| hao haidong, wang pe \| hongkou stadium, shangha row 7 : 2001 \| 26 february 2002 \| dalian shide \| 1 - 3 (1 - 1 / \| shanghai shenhua \| srđan bajcetic \| hongkou stadium, shangha row 8 : 2001 \| 2 march 2002 \| dalian shide \| 1 - 3 (1 - 1 / \| shanghai shenhua \| orlando (2) \| jinzhou stadium, dalian row 9 : 2002 \| 6 february 2003 \| dalian shide \| 1 - 0 \| qingdao beilaite \| hao haidong \| wuhan sports center, wu row 10 : 2003 \| 18 january 2004 \| shanghai shenhua \| 3 - 4 \| beijing hyundai ( \| zhang yuning, z \| olympic park stadium, w row 11 : 2012 \| 25 february 2012 \| guangzhou evergrande \| 2 - 1 \| tianjin teda \| cleo (2) wang xinx \| guangzhou university city stadium, gu row 12 : 2013 \| 3 march 2013 \| guangzhou evergrande \| 1 - 2 \| jiangsu sainty \| salihi krivets \| tianhe stadium, guangzhou row 13 : 2014 \| 17 february 2014 \| guangzhou evergrande \| 0 - 1 \| guizhou renhe \| sun jihai \| guizhou olympic stadium, ] Execute this SQL based on the above table: select date where id != ( select id where date = '6 february 2003' and result = '1 - 0' ) and jia-a/csl winner = ( select jia-a/csl winner where date = '6 february 2003' and result = '1 - 0' )	30 december 2000, 26 february 2002, 2 march 2002
[ header: draw \| artist \| song \| points \| place row 1 : 1 \| mystique \| "rendez-vous" \| 25 \| 8 row 2 : 2 \| vulcano \| "met jou d'rbi \| 27 \| 5 row 3 : 3 \| bernadette \| "soms" \| 26 \| 6= row 4 : 4 \| deuce \| "computer games" \| 26 \| 6= row 5 : 5 \| music hall \| "stop die show" \| 54 \| 3 row 6 : 6 \| mystique \| "op zo'n dag \| 8 \| 10 row 7 : 7 \| bernadette \| "sing me a song" \| 69 \| 1 row 8 : 8 \| vulcano \| "een beetje van dit \| 68 \| 2 row 9 : 9 \| deuce \| "stopwatch" \| 20 \| 9 row 10 : 10 \| music hall \| "voulez-vous danser" \| 37 \| 4 ] Execute this SQL based on the above table: select artist order by draw limit 1	mystique
[ header: year \| competition \| venue \| position \| notes row 1 : 2005 \| european u23 championships \| erfurt, germany \| 7th \| 72.81 m row 2 : 2008 \| olympic games \| beijing, china \| 8th \| 82.06 m (=pb row 3 : 2009 \| universiade \| belgrade, serbia \| 5th \| 78.29 m row 4 : 2010 \| european championships \| barcelona, spain \| 14th (q) \| 76.29 m row 5 : 2012 \| olympic games \| london, united kingdom \| 15th (q) \| 80.06 m row 6 : 2013 \| world championships \| moscow, russia \| 32nd (q) \| 72.66 m ] Execute this SQL based on the above table: select competition where id = ( select id where competition = 'european u23 championships' ) + 1	olympic games
[ header: place \| team \| played \| won \| draw \| lost \| goals scored \| goals conceded \| +/- \| points row 1 : 1 \| c.d. fas \| 18 \| 10 \| 6 \| 2 \| 27 \| 13 \| 14 \| 36 row 2 : 2 \| c.d. aguila \| 18 \| 9 \| 4 \| 5 \| 38 \| 26 \| 12 \| 31 row 3 : 3 \| c.d. luis angel fir \| 18 \| 7 \| 7 \| 4 \| 25 \| 18 \| 7 \| 28 row 4 : 4 \| san salvador f.c \| 18 \| 8 \| 4 \| 6 \| 31 \| 27 \| 4 \| 28 row 5 : 5 \| alianza f.c \| 18 \| 8 \| 4 \| 6 \| 26 \| 24 \| 2 \| 28 row 6 : 6 \| a.d. isidro \| 18 \| 4 \| 9 \| 5 \| 20 \| 23 \| -3 \| 21 row 7 : 7 \| municipal limeno \| 18 \| 5 \| 5 \| 8 \| 27 \| 29 \| -2 \| 20 row 8 : 8 \| c.d. arcense \| 18 \| 2 \| 11 \| 5 \| 23 \| 32 \| -11 \| 17 row 9 : 9 \| chalatenango \| 18 \| 4 \| 5 \| 9 \| 13 \| 22 \| -9 \| 17 row 10 : 10 \| c.d. atletico balb \| 18 \| 4 \| 3 \| 11 \| 15 \| 31 \| -24 \| 15 ] Execute this SQL based on the above table: select count ( team ) where team = 'chalatenango' and team = 'c.d. aguila'	0
[ header: year \| winners \| score \| runners up \| notes row 1 : 1947 \| wellington town reserves \| 4-1 \| walsall wood \| None row 2 : 1949 \| bilston town \| 1-0 \| oswestry town \| None row 3 : 1950 \| brereton social drew \| None \| None \| None row 4 : 1951 \| bloxwich strollers \| 1-0 \| walsall wood \| after extra time row 5 : 1955 \| shelfield athletic \| 5-1 \| walsall trinity \| None row 6 : 1956 \| shelfield athletic \| 2-0 \| ogley hay \| None row 7 : 1959 \| shelfield athletic \| 4-0 \| walsall wood \| None row 8 : 1960 \| shelfield athletic \| 3-0 \| walsall wood \| None row 9 : 1965 \| rushall olympic \| 2-1 \| brereton social \| None row 10 : 1966 \| lower gornal athletic \| 4-2 \| kidderminster harriers \| after extra time row 11 : 1968 \| wrockwardine wood \| 2-1 \| tamworth \| None row 12 : 1971 \| baddesley colliery \| 4-3 \| atherstone town \| aggregate score, 1st leg 2-2, row 13 : 1973 \| bilston town \| 1-0 \| darlaston \| None row 14 : 1974 \| brereton social \| 3-2 \| warley county borough \| after extra time row 15 : 1977 \| blakenall \| 1-0 \| bilston town \| replay, 1st game 0-0 a row 16 : 1978 \| sutton coldfield town \| 2-0 \| alvechurch \| None row 17 : 1980 \| sutton coldfield town \| 1-0 \| rushall olympic \| None row 18 : 1981 \| blakenall \| 2-1 \| sutton coldfield town \| replay, 1st game 1-1 a row 19 : 1983 \| coleshill town \| 4-3 \| wolverhampton united \| None row 20 : 1984 \| atherstone town \| 4-0 \| tividale \| None row 21 : 1985 \| harrisons \| 2-0 \| wolverhampton united \| None row 22 : 1987 \| boldmere st. michaels \| 2-0 \| bloxwich town \| None row 23 : 1990 \| meir ka \| 2-1 \| rushall olympic \| replay, 1st game 0-0 a row 24 : 1991 \| chasetown \| 1-0 \| blakenall \| after extra time row 25 : 1992 \| armitage 90 \| 3-2 \| meir ka \| after extra time row 26 : 1993 \| chasetown \| 3-1 \| pelsall villa \| None row 27 : 1994 \| newcastle town \| 1-0 \| oldbury united \| after extra time row 28 : 1995 \| newcastle town \| 1-1 \| knypersley victoria \| after extra time, newcastle won on penalties row 29 : 1996 \| blakenall \| 0-0 \| newcastle town \| after extra time, blakenall won on row 30 : 1998 \| blakenall \| 2-1 \| halesowen harriers \| None row 31 : 1999 \| blakenall \| 3-2 \| meir ka \| None row 32 : 2000 \| rushall olympic \| 2-2 \| rocester \| after extra time, rushall won 5-4 on row 33 : 2001 \| wolverhampton casuals \| 2-0 \| sutton coldfield town \| None row 34 : 2002 \| bolehall swifts \| 4-4 \| tividale \| after extra time, bolehall won 4 row 35 : 2004 \| sutton coldfield town \| 3-1 \| tividale \| None row 36 : 2005 \| chasetown \| 2-1 \| tividale \| None row 37 : 2006 \| boldmere st michaels \| 1-0 \| tipton town \| None ] Execute this SQL based on the above table: select max ( year ) - min ( year )	59
[ header: title \| date of creation \| surname \| first titular row 1 : duke of abrantes \| december 9, 1753 \| lorena \| ana maria catarina hen row 2 : duke of albuquerque \| may 19, 1886 \| costa de sousa de macedo \| joao afonso row 3 : duke of aveiro \| b. 1535 \| lencastre mascarenhas da \| john of lencastre, 1s row 4 : duke of avila and bolam \| may 14, 1878 \| avila \| antonio jose de avi row 5 : duke of barcelos \| august 5, 1562 \| braganca \| john, 6th duke of bragan row 6 : duke of cadaval \| april 26, 1648 \| alvares pereira de melo \| nuno alvares pereira de row 7 : duke of caminha \| december 14, 1620 \| menezes \| miguel luis de menezes row 8 : duke of faial \| april 4, 1833 \| sousa holstein \| pedro de sousa holstein row 9 : duke of ficalho \| may 14, 1836 \| almeida \| eugenia mauricia to row 10 : duke of goa \| 1515 \| albuquerque \| afonso de albuque row 11 : duke of guarda \| october 5, 1530 \| portugal-aviz \| ferdinand, prince of portugal row 12 : duke of guimaraes \| 1475 \| braganca \| fernando ii, duke row 13 : duke of linhares \| None \| noronha \| fernando de noronha row 14 : duke of miranda do corvo \| may 13, 1796 \| braganca e ligne de sousa tava \| jose sousa tavares mascaranhas row 15 : duke of palmela \| october 10, 1850 \| sousa holstein \| pedro de sousa holstein row 16 : duke of porto \| 1833 \| braganca \| maria, princess of portugal (f row 17 : duke of saldanha \| november 4, 1846 \| saldanha oliveira e da \| joao francisco de saldan row 18 : duke of tancos \| april 22, 1790 \| manoel \| constanca manoel row 19 : duke of terceira \| november 8, 1832 \| manoel e meneses \| antonio jose de sousa row 20 : duke of torres novas \| september 26, 1619 \| lencastre \| george of lencastre row 21 : duke of trancoso \| 1530 \| portugal-aviz \| ferdinand, prince of portugal row 22 : duke of vila real \| february 28, 1585 \| menezes \| manuel de menezes row 23 : duke of vitoria \| december 12, 1812 \| wellesley \| arthur wellesley, duke of well ] Execute this SQL based on the above table: select surname where date of creation < ( select date of creation where surname = 'lencastre' ) order by date of creation desc limit 1	menezes
[ header: title \| year \| language \| role \| notes row 1 : shakti \| 1982 \| hindi \| None \| credited as "murliss" row 2 : maqbool \| 2003 \| hindi \| devsare \| None row 3 : market \| 2003 \| hindi \| None \| None row 4 : main hoon na \| 2004 \| hindi \| khan \| None row 5 : masti: sanam teri \| 2004 \| hindi \| eunuch at band stand \| None row 6 : mangal pandey: the rising \| 2005 \| hindi \| sheikh paltu \| None row 7 : apaharan \| 2005 \| hindi \| muralidhar \| None row 8 : chocolate \| 2005 \| hindi \| None \| None row 9 : teesri aank \| 2006 \| hindi \| dinesh \| None row 10 : rockin' meera \| 2006 \| None \| prem \| None row 11 : fight club - members only \| 2006 \| hindi \| None \| None row 12 : buddha mar gaya \| 2006 \| hindi \| rohan alexander \| None row 13 : dhol \| 2007 \| hindi \| zicomo \| None row 14 : athidi \| 2007 \| telugu \| kaiser/ajay sastr \| None row 15 : eik dasttak \| 2007 \| None \| None \| None row 16 : black friday \| 2004 \| hindi \| None \| None row 17 : laaga chunari mein daag \| 2007 \| hindi \| None \| None row 18 : one two three \| 2008 \| hindi \| mm munde \| None row 19 : jaane tu... ya \| 2008 \| hindi \| inspector (special appearance) \| None row 20 : mere khwabon mein jo \| 2009 \| None \| None \| None row 21 : chal chala chal \| 2009 \| hindi \| gajendra singh \| None row 22 : 13b: fear has a new address \| 2009 \| tamil/hindi \| inspector shiva \| None row 23 : saluun \| 2009 \| None \| sipahi ji \| None row 24 : rokkkit \| 2010 \| None \| None \| None row 25 : lamhaa \| 2010 \| hindi \| news reporter \| None row 26 : dabangg \| 2010 \| hindi \| None \| None row 27 : tees maar khan \| 2010 \| hindi \| agent-mukherjee \| None row 28 : oosaravelli \| 2011 \| telugu \| chota gangleader \| None row 29 : singham \| 2011 \| hindi \| sp \| None row 30 : chatur singh two star \| 2011 \| hindi \| None \| None row 31 : aalaap \| 2012 \| hindi \| naxalite \| None row 32 : jeena hai toh thok \| 2012 \| hindi \| hanumant singh \| None row 33 : chakravyuh \| 2012 \| hindi \| None \| None row 34 : krishnam vande jaga \| 2012 \| telugu \| chakravarthi \| None row 35 : karma yodha \| 2012 \| malayalam \| None \| None row 36 : hungame pe hungama \| 2013 \| hindi \| None \| None row 37 : platform no. 6 \| 2013 \| telugu \| None \| None row 38 : pattathu yaana \| 2013 \| tamil \| marudhamuthu \| None row 39 : zindagi 50-50 \| 2013 \| hindi \| None \| None row 40 : yevadu \| 2013 \| telugu \| durani \| None row 41 : karmachari \| 2013 \| telugu \| None \| None ] Execute this SQL based on the above table: select year where year in ( 2011 , 2007 ) order by role limit 1861	2007, 2007, 2011, 2011, 2007, 2011, 2007
[ header: administrative area \| area km2 \| area sq mi \| population \| administrative centre row 1 : saint helena \| 122 \| 47 \| 5809 \| jamestown row 2 : ascension island \| 91 \| 35 \| 1532 \| georgetown row 3 : tristan da cunha \| 184 \| 71 \| 388 \| edinburgh of the seven seas row 4 : tristan da cunha \| 98 \| 38 \| 382 \| edinburgh of the seven seas row 5 : inaccessible island \| 14 \| 5 \| 0 \| denstone hut row 6 : nightingale island \| 3.2 \| 1 \| 0 \| west landing row 7 : gough island \| 68 \| 26 \| 6 \| transvaal bay row 8 : total \| 397 \| 153 \| 7729 \| jamestown ] Execute this SQL based on the above table: select administrative area order by population limit 1	inaccessible island
[ header: # \| prime minister \| date of birth \| start date of (first) term \| age at beginning of (first) term \| end date of (final) term \| total time in office \| date of death \| lifespan row 1 : 1 \| edmund barton \| 18 january 1849 \| 1-jan-01 \| 51 years, 348 days \| 24-sep-03 \| 996 days \| 7-jan-20 \| 25,920 days (70 years, 354 days row 2 : 2 \| alfred deakin \| 3 august 1856 \| 24-sep-03 \| 47 years, 52 days \| 29-apr-10 \| 1,774 days \| 7-oct-19 \| 23,074 days (63 years, 65 days row 3 : 3 \| chris watson \| 9 april 1867 \| 27-apr-04 \| 37 years, 18 days \| 18-aug-04 \| 113 days \| 18-nov-41 \| 27,251 days (74 years, 223 row 4 : 4 \| george reid \| 25 february 1845 \| 18-aug-04 \| 59 years, 175 days \| 5-jul-05 \| 321 days \| 12-sep-18 \| 26,861 days (73 years, 199 row 5 : 7 \| billy hughes \| 25 september 1862 \| 27-oct-15 \| 53 years, 32 days \| 9-feb-23 \| 2,662 days \| 28-oct-52 \| 32,905 days (90 years, 33 row 6 : 8 \| stanley bruce \| 15 april 1883 \| 9-feb-23 \| 39 years, 300 days \| 22-oct-29 \| 2,447 days \| 25-aug-67 \| 30,812 days (84 years, 132 row 7 : 9 \| james scullin \| 18 september 1876 \| 22-oct-29 \| 53 years, 34 days \| 6-jan-32 \| 806 days \| 28-jan-53 \| 27,890 days (76 years, 132 row 8 : 10 \| joseph lyons \| 15 september 1879 \| 6-jan-32 \| 52 years, 113 days \| 7-apr-39 \| 2,648 days \| 7-apr-39 \| 21,753 days (59 years, 204 row 9 : 11 \| earle page \| 8 august 1880 \| 7-apr-39 \| 58 years, 242 days \| 26-apr-39 \| 19 days \| 20-dec-61 \| 29,718 days (81 years, 134 row 10 : 12 \| robert menzies \| 20 december 1894 \| 26-apr-39 \| 44 years, 127 days \| 26-jan-66 \| 6,735 days \| 15-may-78 \| 30,461 days (83 years, 146 row 11 : 14 \| john curtin \| 8 january 1885 \| 7-oct-41 \| 56 years, 272 days \| 5-jul-45 \| 1,367 days \| 5-jul-45 \| 22,092 days (60 years, 178 row 12 : 15 \| frank forde \| 18 july 1890 \| 6-jul-45 \| 54 years, 353 days \| 13-jul-45 \| 7 days \| 28-jan-83 \| 33,796 days (92 years, 19 row 13 : 16 \| ben chifley \| 22 september 1885 \| 13-jul-45 \| 59 years, 294 days \| 19-dec-49 \| 1,620 days \| 13-jun-51 \| 24,004 days (65 years, 264 row 14 : 17 \| harold holt \| 5-aug-08 \| 26-jan-66 \| 57 years, 174 days \| 19-dec-67 \| 690 days \| 17-dec-67 \| 21,683 days (59 years, 134 ] Execute this SQL based on the above table: select abs ( ( select age at beginning of (first) term where prime minister = 'billy hughes' ) - ( select age at beginning of (first) term where prime minister = 'james scullin' ) )	0
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1990 \| central american and caribbean games \| mexico city, mexico \| 1st \| 3000 m s'chase \| None row 2 : 1991 \| pan american games \| havana city, cuba \| 6th \| 3000 m s'chase \| None row 3 : 1992 \| olympic games \| barcelona, spain \| 6th \| 10,000 m \| None row 4 : 1993 \| world championships \| stuttgart, germany \| 9th \| 10,000 m \| None row 5 : 1994 \| world half marathon championships \| oslo, norway \| 2nd \| half marathon \| 1:00:28 pb row 6 : 1994 \| new york city marathon \| new york city, united states \| 1st \| marathon \| None row 7 : 1994 \| london marathon \| london, england \| 3rd \| marathon \| None row 8 : 1995 \| world championships \| gothenburg, sweden \| 13th \| 10,000 m \| None row 9 : 1995 \| new york city marathon \| new york city, united states \| 1st \| marathon \| None row 10 : 1996 \| olympic games \| atlanta, united states \| 6th \| marathon \| None row 11 : 1997 \| new york city marathon \| new york city, united states \| 5th \| marathon \| None row 12 : 1997 \| boston marathon \| boston, united states \| 4th \| marathon \| None ] Execute this SQL based on the above table: select count ( * ) where position = '6th' and venue = '6th'	0
[ header: location \| reactor type \| status \| net capacity (mwe) \| gross capacity (mwe) row 1 : chernobyl-1 \| rbmk-1000 \| shut down in 1996 \| 740 \| 800 row 2 : chernobyl-2 \| rbmk-1000 \| shut down in 1991 \| 925 \| 1 row 3 : chernobyl-3 \| rbmk-1000 \| shut down in 2000 \| 925 \| 1 row 4 : chernobyl-4 \| rbmk-1000 \| destroyed in the 1986 accident \| 925 \| 1 row 5 : chernobyl-5 \| rbmk-1000 \| construction cancelled in 1988 \| 950 \| 1 row 6 : chernobyl-6 \| rbmk-1000 \| construction cancelled in 1988 \| 950 \| 1 row 7 : ignalina-1 \| rbmk-1500 \| shut down in 2004 \| 1,185 \| 1,3 row 8 : ignalina-2 \| rbmk-1500 \| shut down in 2009 \| 1,185 \| 1,3 row 9 : ignalina-3 \| rbmk-1500 \| construction cancelled in 1988 \| 1,38 \| 1,5 row 10 : ignalina-4 \| rbmk-1500 \| plan cancelled in 1988 \| 1,38 \| 1,5 row 11 : kostroma-1 \| rbmk-1500 \| construction cancelled in 1980s \| 1,38 \| 1,5 row 12 : kostroma-2 \| rbmk-1500 \| construction cancelled in 1980s \| 1,38 \| 1,5 row 13 : kursk-1 \| rbmk-1000 \| operational until 2021 \| 925 \| 1 row 14 : kursk-2 \| rbmk-1000 \| operational until 2024 \| 925 \| 1 row 15 : kursk-3 \| rbmk-1000 \| operational until march 2014 \| 925 \| 1 row 16 : kursk-4 \| rbmk-1000 \| operational until february 2016 \| 925 \| 1 row 17 : kursk-5 \| mker-1000 \| construction begin was 1985, since then shelve \| 925 \| 1 row 18 : kursk-6 \| rbmk-1000 \| construction cancelled in 1993 \| 925 \| 1 row 19 : leningrad-1 \| rbmk-1000 \| operational \| 925 \| 1 row 20 : leningrad-2 \| rbmk-1000 \| operational until 2021 \| 925 \| 1 row 21 : leningrad-3 \| rbmk-1000 \| operational until june 2025 \| 925 \| 1 row 22 : leningrad-4 \| rbmk-1000 \| operational until august 2026 \| 925 \| 1 row 23 : smolensk-1 \| rbmk-1000 \| operational until december 2022 \| 925 \| 1 row 24 : smolensk-2 \| rbmk-1000 \| operational until july 2015 \| 925 \| 1 row 25 : smolensk-3 \| rbmk-1000 \| operational until july 2023 \| 925 \| 1 row 26 : smolensk-4 \| rbmk-1000 \| construction cancelled in 1993 \| 925 \| 1 ] Execute this SQL based on the above table: select status where id = ( select id where status = 'plan cancelled in 1988' ) - 1	construction cancelled in 1988
[ header: year \| division \| league \| regular season \| playoffs \| open cup row 1 : 2006 \| 4 \| usl pdl \| 5th, northwest \| did not qualify \| did not qualify row 2 : 2007 \| 4 \| usl pdl \| 2nd, northwest \| conference semifinals \| did not qualify row 3 : 2008 \| 4 \| usl pdl \| 1st, northwest \| conference finals \| did not qualify row 4 : 2009 \| 4 \| usl pdl \| 7th, northwest \| did not qualify \| did not qualify row 5 : 2010 \| 4 \| usl pdl \| 3rd, northwest \| did not qualify \| did not qualify row 6 : 2011 \| 4 \| usl pdl \| 8th, northwest \| did not qualify \| did not qualify row 7 : 2012 \| 4 \| usl pdl \| 1st, northwest \| semifinals \| did not qualify row 8 : 2013 \| 4 \| usl pdl \| 4th, northwest \| did not qualify \| 2nd round ] Execute this SQL based on the above table: select league order by year desc limit 1	usl pdl
[ 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 super g where id = 1	not run
[ header: year \| title \| us hot 100 \| us modern rock \| us mainstream rock \| album row 1 : 1994 \| "neenah menasha" \| None \| None \| None \| rotting pinata row 2 : 1994 \| "plowed" \| None \| 5 \| 9 \| rotting pinata row 3 : 1995 \| "molly (16 candles down the drain)" \| 55 \| 3 \| 11 \| rotting pinata row 4 : 1995 \| "rainin'" \| None \| 34 \| 18 \| rotting pinata row 5 : 1996 \| "wax ecstatic (to \| None \| 15 \| 11 \| wax ecstatic row 6 : 1997 \| "have you seen mary" \| None \| None \| 7 \| wax ecstatic row 7 : 1999 \| "live here without you" \| None \| None \| None \| new pop sunday row 8 : 1999 \| "1000 times" \| None \| None \| None \| new pop sunday row 9 : 2003 \| "treat me wrong" \| None \| None \| None \| for all the drugs in the world row 10 : 2003 \| "leave this world" \| None \| None \| None \| for all the drugs in the world row 11 : 2005 \| "the man" \| None \| None \| None \| the man row 12 : 2005 \| "higher (part 1)" \| None \| None \| None \| the man row 13 : 2009 \| "come in from the rain" \| None \| None \| None \| destroy the boy ep row 14 : 2010 \| "destroy the boy" \| None \| None \| None \| destroy the boy ep row 15 : 2013 \| "fade from view" \| None \| None \| None \| stop the bleeding row 16 : 2013 \| "lifes bitter pills" \| None \| None \| None \| stop the bleeding ] Execute this SQL based on the above table: select count ( title ) where title = '"come in from the rain"'	1
[ header: # \| nation \| qualification tournament \| place in qt \| sailor row 1 : 1 \| china \| host country \| None \| None row 2 : 2 \| brazil \| 2007 worlds \| 1 \| robert scheidt, bruno row 3 : 3 \| france \| 2007 worlds \| 2 \| xavier rohart, pas row 4 : 4 \| great britain \| 2007 worlds \| 3 \| iain percy, andre row 5 : 5 \| new zealand \| 2007 worlds \| 4 \| hamish pepper, carl william row 6 : 6 \| italy \| 2007 worlds \| 5 \| diego negri, luigi row 7 : 7 \| poland \| 2007 worlds \| 6 \| mateusz kuszniere row 8 : 8 \| germany \| 2007 worlds \| 7 \| marc pickel, ingo borkowski row 9 : 9 \| sweden \| 2007 worlds \| 8 \| fredrik loof, anders row 10 : 10 \| australia \| 2007 worlds \| 9 \| iain murray, andrew row 11 : 11 \| portugal \| 2007 worlds \| 10 \| afonso domingos, row 12 : 12 \| united states \| 2007 worlds \| 11 \| mark reynolds, hal row 13 : 13 \| switzerland \| 2008 worlds \| 4 \| flavio marazzi, enric row 14 : 14 \| croatia \| 2008 worlds \| 12 \| marin lovrovic, sinsa row 15 : 15 \| ireland \| 2008 worlds \| 14 \| max treacy, anthony shank row 16 : 16 \| austria \| 2008 worlds \| 16 \| hans spitzauer, ] Execute this SQL based on the above table: select count ( nation ) where place in qt > 6	8
[ header: season \| league \| gold \| silver \| bronze \| winning manager row 1 : 1947-48 \| league of norway \| freidig \| sparta \| None \| None row 2 : 1948-49 \| main league \| fredrikstad \| valerenga \| None \| None row 3 : 1950-51 \| main league \| fredrikstad \| odd \| None \| None row 4 : 1952-53 \| main league \| larvik turn \| skeid \| None \| None row 5 : 1954-55 \| main league \| larvik turn \| fredrikstad \| None \| None row 6 : 1958-59 \| main league \| lillestrøm \| fredrikstad \| None \| karl gudmundson row 7 : 1959-60 \| main league \| fredrikstad \| lillestrøm \| eik-tønsberg \| None row 8 : 1965 \| first division \| valerenga \| lyn \| sarpsborg \| anton ploderer row 9 : 1966 \| first division \| skeid \| fredrikstad \| lyn \| None row 10 : 1969 \| first division \| rosenborg \| fredrikstad \| strømsgodset \| george curtis row 11 : 1971 \| first division \| rosenborg \| lyn \| viking \| nils arne eggen row 12 : 1972 \| first division \| viking \| fredrikstad \| strømsgodset \| kjell schou-andrea row 13 : 1974 \| first division \| viking \| molde \| valerenga \| stuart williams row 14 : 1975 \| first division \| viking \| brann \| start \| olav nilsen row 15 : 1976 \| first division \| lillestrøm \| mjøndalen \| brann \| joar hoff row 16 : 1977 \| first division \| lillestrøm \| bodø/glimt \| molde \| joe hooley row 17 : 1979 \| first division \| viking \| moss \| start \| tony knapp row 18 : 1983 \| first division \| valerenga \| lillestrøm \| start \| gunder bengtsson row 19 : 1984 \| first division \| valerenga \| viking \| start \| gunder bengtsson per anders row 20 : 1985 \| first division \| rosenborg \| lillestrøm \| valerenga \| arne dokken bjø row 21 : 1990 \| first division \| rosenborg \| tromsø \| molde \| nils arne eggen row 22 : 1991 \| tippeligaen \| viking \| rosenborg \| start \| benny lennartsson row 23 : 1992 \| tippeligaen \| rosenborg \| kongsvinger \| start \| nils arne eggen row 24 : 1993 \| tippeligaen \| rosenborg \| bodø/glimt \| lillestrøm \| nils arne eggen row 25 : 1994 \| tippeligaen \| rosenborg \| lillestrøm \| viking \| nils arne eggen row 26 : 1996 \| tippeligaen \| rosenborg \| lillestrøm \| viking \| nils arne eggen row 27 : 2002 \| tippeligaen \| rosenborg \| molde \| lyn \| nils arne eggen row 28 : 2003 \| tippeligaen \| rosenborg \| bodø/glimt \| stabæk \| age hareide row 29 : 2004 \| tippeligaen \| rosenborg \| valerenga \| brann \| ola by rise row 30 : 2006 \| tippeligaen \| rosenborg \| brann \| valerenga \| knut tørum per-m ] Execute this SQL based on the above table: select silver order by length ( silver ) desc limit 1	fredrikstad
[ header: representative \| title \| from \| to \| appointed by row 1 : william shaler \| special diplomatic agent \| 1810 \| 1812 \| james madison row 2 : john h. robinson \| special diplomatic agent \| 1812 \| 1814 \| james madison row 3 : joel roberts po \| minister \| 1825 \| 1829 \| john quincy adams row 4 : anthony butler \| charge d'affaires \| 1829 \| 1835 \| None row 5 : powhatan ellis \| charge d'affaires \| 1836 \| None \| andrew jackson row 6 : powhatan ellis \| minister \| 1839 \| 1842 \| martin van buren row 7 : waddy thompson, j \| minister \| 1842 \| 1844 \| john tyler row 8 : gilbert l. tho \| special diplomatic agent \| 1844 \| None \| john tyler row 9 : wilson shannon \| minister \| 1844 \| 1845 \| john tyler row 10 : john slidell \| minister \| 1845 \| None \| james k. polk row 11 : david conner \| special diplomatic agent \| 1846 \| None \| james k. polk row 12 : nathan clifford \| minister \| 1848 \| 1849 \| james k. polk row 13 : robert greenhow \| special diplomatic agent \| 1850 \| None \| None row 14 : george g. goss \| special diplomatic agent \| 1850 \| 1852 \| None row 15 : edward smith \| special diplomatic agent \| 1852 \| None \| millard fillmore row 16 : george e. cooper \| special diplomatic agent \| 1853 \| None \| None row 17 : christopher l. ward \| special diplomatic agent \| 1853 \| None \| None row 18 : richard s. spofford \| special diplomatic agent \| 1854 \| None \| franklin pierce row 19 : william m. churchwell \| special diplomatic agent \| 1858 \| None \| james buchanan row 20 : alfred mordecai \| special diplomatic agent \| 1858 \| None \| james buchanan row 21 : duff green \| special diplomatic agent \| 1859 \| None \| james buchanan row 22 : david r. porter \| special diplomatic agent \| 1859 \| None \| james buchanan row 23 : robert milligan mclane \| minister \| 1859 \| 1860 \| james buchanan row 24 : henry roy de la reintrie \| special diplomatic agent \| 1860 \| None \| james buchanan row 25 : lewis d. campbell \| minister \| 1866 \| 1867 \| andrew johnson row 26 : marcus otterbourg \| minister \| 1867 \| None \| andrew johnson row 27 : william s. rosecrans \| minister \| 1868 \| 1869 \| andrew johnson row 28 : john w. foster \| minister \| 1873 \| 1880 \| ulysses s. grant row 29 : philip hicky morgan \| minister \| 1880 \| 1885 \| rutherford b. hayes row 30 : thomas courtland manning \| minister \| 1886 \| 1887 \| grover cleveland row 31 : thomas ryan \| minister \| 1889 \| 1893 \| None row 32 : matt whitaker ransom \| minister \| 1895 \| 1897 \| grover cleveland row 33 : powell clayton \| minister \| 1897 \| 1898 \| None ] Execute this SQL based on the above table: select representative group by representative order by count ( representative ) desc limit 1	powhatan ellis
[ 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 # where crew chief = 'harold holly'	32
[ header: rank \| area \| date \| presenter \| seven wonders covered row 1 : 1 \| south west \| 3 may \| samantha smith \| dartmoor, jurassic coast, row 2 : 2 \| yorkshire & lincolnshire \| 9 may \| paul hudson \| malham cove, the three peaks, row 3 : 3 \| london \| 16 may \| bill oddie \| islands in the river thames, the row 4 : 4 \| the north \| 23 may \| chris jackson \| lake district, river wear, whin sill row 5 : 5 \| the south \| 30 may \| aubrey manning \| the needles, lulworth cove row 6 : 6 \| the midlands \| 6 june \| dominic heale \| kinder scout, dovedale row 7 : 7 \| the west country \| 17 june \| amanda parr \| avebury, symonds row 8 : 8 \| south east \| 22 june \| kaddy lee-preston \| white cliffs of dover, seven sisters ] Execute this SQL based on the above table: select seven wonders covered group by seven wonders covered order by count ( * ) desc limit 1	white cliffs of dover, seven sisters, north downs, dungeness, romney marsh, ecclesbourne glen, pegwell bay
[ header: name \| date built \| builder \| works no. \| wheels \| cylinders \| notes \| withdrawn row 1 : veteran \| 1847 \| None \| None \| 0-6-0 \| inside \| arr. 1847 \| None row 2 : fairfield \| 1847 \| None \| None \| 0-6-0 \| inside \| arr. 1847 \| None row 3 : waverley \| None \| henry hughes of lough \| None \| 0-4-0st \| outside \| None \| 1889 row 4 : bee \| None \| None \| None \| 0-6-0t \| None \| None \| None row 5 : spider \| None \| None \| None \| 0-6-0t \| None \| None \| None row 6 : gillingham \| None \| aveling and porter \| None \| 0-6-0tg \| None \| arr. 1893 \| 1893 row 7 : no.1 \| 1880 \| hunslet \| 231 \| 0-6-0st \| inside \| arr. 1893 \| 1923 row 8 : no.2 \| 1898 \| peckett \| 696 \| 0-4-0st \| outside \| arr. 1904 \| 1923 ] Execute this SQL based on the above table: select count ( date built ) where works no. = 231	1
[ header: # \| name \| height \| weight (lbs.) \| position \| class \| hometown \| previous team(s) row 1 : 1 \| aaron johnson \| 5'8" \| 185 \| g \| sr \| chicago, il, u. \| hubbard hs row 2 : 3 \| anthony criswell \| 6'9" \| 230 \| f \| fr \| oklahoma city, ok, \| douglass high school row 3 : 4 \| jamarr sanders \| 6'4" \| 210 \| g \| sr \| montgomery, al, u. \| jeff davis high school nw row 4 : 5 \| robert williams \| 6'4" \| 210 \| g \| fr \| greenville, ms, u. \| weston high school row 5 : 10 \| karl moton \| 5'11" \| 195 \| g \| so \| stone mountain, ga, u.s \| chamblee hs row 6 : 21 \| beas hamga \| 6'11" \| 230 \| c \| jr \| douala, cameroon \| weatherford (texas) cc row 7 : 22 \| cameron moore \| 6'10" \| 230 \| f \| jr \| san antonio, \| roosevelt h row 8 : 23 \| dexter fields \| 6'2" \| 205 \| g \| so \| orlando, fl, \| olympia hs row 9 : 24 \| preston purifoy \| 6'5" \| 215 \| g \| fr \| conway, ar, u.s \| conway high school row 10 : 32 \| ovie soko \| 6'8" \| 210 \| f \| so \| london, england, \| bethel hs row 11 : 2 \| mike jones \| 6'1" \| 185 \| g \| sr \| nashville, tn, \| hunters lane high school row 12 : 25 \| quincy taylor \| 6'0" \| 185 \| g \| fr \| wichita, ks, \| wichita collegiate high school row 13 : 44 \| jordan swing \| 6'6" \| 200 \| f \| so \| birmingham, al, u. \| western kentucky university ] Execute this SQL based on the above table: select ( ( select weight (lbs.) where class = 'so' ) - ( select min ( weight (lbs.) ) ) )	10.0
[ header: sheriff \| start of term row 1 : josiah hobart \| 1683 row 2 : john mulford \| 1701 row 3 : hugh gray \| 1702 row 4 : john brush \| 1710 row 5 : daniel youngs \| 1718 row 6 : samuel dayton \| 1723 row 7 : william sell \| 1728 row 8 : joseph smith \| 1730 row 9 : david corrie \| 1731 row 10 : jacob conklin \| 1734 row 11 : thomas higbe \| 1740 row 12 : james muirson \| 1774 row 13 : thomas wickes \| 1785 row 14 : silas halsey \| 1787 row 15 : thomas wickes \| 1791 row 16 : phinaes carll \| 1799 row 17 : josiah reeve \| 1803 row 18 : phinaes smith \| 1807 row 19 : josiah reeve \| 1808 row 20 : benjamin brewster \| 1810 row 21 : josiah reeve \| 1811 row 22 : benjamin brewster \| 1812 row 23 : nathaniel conklin \| 1814 row 24 : josiah reeve \| 1815 row 25 : samuel smith \| 1826 row 26 : abraham gardiner \| 1829 row 27 : richard smith \| 1832 row 28 : silas horton \| 1835 row 29 : samuel miller \| 1838 row 30 : david brush \| 1841 row 31 : henry penny \| 1844 row 32 : david rose \| 1847 row 33 : john clark \| 1850 row 34 : samuel phillips \| 1855 row 35 : george carman \| 1856 row 36 : daniel osborn \| 1862 row 37 : george smith \| 1868 row 38 : j. henry perkins \| 1871 row 39 : egbert lewis \| 1874 row 40 : george cooper \| 1877 row 41 : robert petty \| 1888 row 42 : selah brewster \| 1883 row 43 : henry halsey \| 1886 row 44 : robert petty \| 1888 row 45 : a. m. darling \| 1891 row 46 : benjamin wood \| 1897 row 47 : j. sheridan wells \| 1900 row 48 : henry preston \| 1903 row 49 : john wells \| 1906 row 50 : charles platt \| 1909 row 51 : melville brush \| 1912 row 52 : d. henry brown \| 1913 row 53 : charles o'dell \| 1914 row 54 : john kelly \| 1920 row 55 : amza biggs \| 1923 row 56 : burton howe \| 1926 row 57 : ellis taylor \| 1929 row 58 : joseph warta \| 1932 row 59 : william mccollom \| 1935 row 60 : jacob dreyer \| 1938 row 61 : john levy \| 1941 row 62 : william mccollom \| 1942 row 63 : charles dominy \| 1957 row 64 : frank gross \| 1962 row 65 : philip corso \| 1970 row 66 : donald dilworth \| 1976 row 67 : john finnerty \| 1977 row 68 : eugene dooley \| 1986 row 69 : patrick mahoney \| 1990 row 70 : alfred c. tisch \| 2002 row 71 : vincent f. demarco \| 2006 ] Execute this SQL based on the above table: select sheriff order by sheriff desc limit 1	william sell
[ header: party \| candidate(s) \| votes \| percentage row 1 : uup \| peter weir alan m \| 9270 \| 25.6 row 2 : uk unionist \| robert mccartney \| 7579 \| 20.9 row 3 : dup \| st clair mcalister rub \| 6699 \| 18.5 row 4 : alliance \| oliver napier brian wil \| 6186 \| 17.1 row 5 : sdlp \| owen adams john bur \| 1798 \| 5 row 6 : pup \| victor ash samuel \| 1694 \| 4.7 row 7 : ulster democratic \| james mccullough \| 651 \| 1.8 row 8 : ni women's coalition \| emma mcguigan an \| 496 \| 1.4 row 9 : conservative \| ann thompson bruce \| 444 \| 1.2 row 10 : independent chambers \| alan chambers james arbut \| 334 \| 0.9 row 11 : green (ni) \| paddy mcevoy mary ring \| 283 \| 0.8 row 12 : sinn fein \| mairtin o mulleoir \| 275 \| 0.8 row 13 : labour coalition \| john magennis sean m \| 171 \| 0.5 row 14 : independent dup \| thomas o'brien will \| 97 \| 0.3 row 15 : democratic left \| daryl armitage tim davis \| 95 \| 0.3 row 16 : workers' party \| dessie o'hagan colum \| 60 \| 0.2 row 17 : ulster independence \| geoffrey watson glenn \| 49 \| 0.1 row 18 : independent voice \| christopher carter fidelm \| 49 \| 0.1 row 19 : natural law \| peter mcgowan tho \| 15 \| 0 ] Execute this SQL based on the above table: select candidate(s) where party in ( 'uk unionist' , 'green (ni)' ) order by votes desc limit 1	robert mccartney valerie kinghan patricia watson
[ header: team \| competition \| category \| appearances start \| appearances sub \| goals \| team record row 1 : japan \| 2006 afc u-17 championship qualification \| u-15 \| 1 \| 0 \| 0 \| qualified row 2 : japan \| 2006 afc u-17 championship \| u-16 \| 4 \| 1 \| 4 \| champions row 3 : japan \| 2007 fifa u-17 world cup \| u-17 \| 1 \| 2 \| 2 \| round 1 row 4 : japan \| 2008 afc youth championship qualification \| u-18 \| 4 \| 0 \| 2 \| qualified row 5 : japan \| 2008 afc u-19 championship \| u-19 \| 1 \| 1 \| 0 \| quarterfinal row 6 : japan \| 2013 eaff east asian cup \| senior \| 2 \| 0 \| 3 \| champions ] Execute this SQL based on the above table: select count ( team record ) where competition < 2013	5
[ header: year \| division \| league \| regular season \| playoffs \| open cup row 1 : 2006 \| 4 \| usl pdl \| 5th, northwest \| did not qualify \| did not qualify row 2 : 2007 \| 4 \| usl pdl \| 2nd, northwest \| conference semifinals \| did not qualify row 3 : 2008 \| 4 \| usl pdl \| 1st, northwest \| conference finals \| did not qualify row 4 : 2009 \| 4 \| usl pdl \| 7th, northwest \| did not qualify \| did not qualify row 5 : 2010 \| 4 \| usl pdl \| 3rd, northwest \| did not qualify \| did not qualify row 6 : 2011 \| 4 \| usl pdl \| 8th, northwest \| did not qualify \| did not qualify row 7 : 2012 \| 4 \| usl pdl \| 1st, northwest \| semifinals \| did not qualify row 8 : 2013 \| 4 \| usl pdl \| 4th, northwest \| did not qualify \| 2nd round ] Execute this SQL based on the above table: select sum ( division ) where playoffs in ( 'conference finals' , 'did not qualify' , 'conference semifinals' )	28.0
[ header: model \| origin \| type \| version \| in service \| notes row 1 : larc-v \| united states \| amphibious support vehicle \| larc-v \| 5 \| most refurbished in 2006 row 2 : gkn aquatrack \| united kingdom \| amphibious support vehicle \| aquatrack \| 2 \| introduced in mid 1990s. originally owned by the row 3 : am general hmmwv \| united states \| light utility vehicle \| m998a1 m1038 \| None \| divided into several variants and series row 4 : maxi-ambulance \| united states \| light utility vehicle \| m997a2 \| 4 \| 150 delivered to afp on nov row 5 : m939 truck \| united states \| heavy utility vehicle \| m923 \| None \| several delivered to afp in 2013, several row 6 : m35 truck \| united states \| 2 1/2-ton utility vehicle \| m35 \| None \| divided into several variants and series. more delivered row 7 : m151 \| united states \| 1/4-ton light utility vehicle and weapons carrier \| standard \| None \| in service, several carrying m40 106 row 8 : delta mini cruiser \| philippines \| 1/4-ton light utility vehicle \| m1777 \| None \| divided into several variants and series, including short row 9 : marine multi-purpose vehicle \| philippines \| light utility vehicle and weapons carrier \| standard \| None \| to replace the m151 mutt, row 10 : km-50 series \| republic of korea \| 5-ton utility vehicle \| km-500 \| 12 \| 155mm artillery prime mover. row 11 : km-45 series \| republic of korea \| 1 1/2-ton utility vehicle \| km-450 \| >50 \| 3000 purchased by afp on 2007, row 12 : km-45 series \| republic of korea \| field ambulance \| km-451 \| 12 \| 500 purchased by afp in 2012, ] Execute this SQL based on the above table: select ( select in service where model = 'larc-v' ) - ( select in service where model = 'km-50 series' )	-7.0
[ header: date \| winner \| score \| loser \| score \| attendance \| notes row 1 : 25-dec-82 \| washington \| 21 \| maryland \| 20 \| 30055 \| notes row 2 : 26-dec-83 \| penn state \| 13 \| washington \| 10 \| 37212 \| notes row 3 : 29-dec-84 \| smu \| 27 \| notre dame \| 20 \| 41777 \| notes row 4 : 28-dec-85 \| alabama \| 24 \| usc \| 3 \| 35183 \| notes row 5 : 27-dec-86 \| arizona \| 30 \| north carolina \| 21 \| 26743 \| notes row 6 : 25-dec-87 \| ucla \| 20 \| florida \| 16 \| 24839 \| notes row 7 : 25-dec-88 \| washington state \| 24 \| houston \| 22 \| 35132 \| notes row 8 : 25-dec-89 \| michigan state \| 33 \| hawaii \| 13 \| 50000 \| notes row 9 : 25-dec-90 \| syracuse \| 28 \| arizona \| 0 \| 14185 \| notes row 10 : 25-dec-91 \| georgia tech \| 18 \| stanford \| 17 \| 34433 \| notes row 11 : 25-dec-92 \| kansas \| 23 \| byu \| 20 \| 42933 \| notes row 12 : 25-dec-93 \| colorado \| 41 \| fresno state \| 30 \| 44009 \| notes row 13 : 25-dec-94 \| boston college \| 12 \| kansas state \| 7 \| 44862 \| notes row 14 : 25-dec-95 \| kansas \| 51 \| ucla \| 30 \| 41111 \| notes row 15 : 25-dec-96 \| navy \| 42 \| cal \| 38 \| 43380 \| notes row 16 : 25-dec-97 \| washington \| 51 \| michigan state \| 23 \| 44598 \| notes row 17 : 25-dec-98 \| colorado \| 51 \| oregon \| 43 \| 46451 \| notes row 18 : 25-dec-99 \| wake forest \| 23 \| arizona state \| 3 \| 40974 \| notes row 19 : 25-dec-00 \| boston college \| 31 \| arizona state \| 17 \| 24397 \| notes ] Execute this SQL based on the above table: select winner where score = 30	colorado, kansas
[ header: year \| location \| gold \| silver \| bronze row 1 : 1950 \| basel \| helena rakoczy \| tereza kocis \| stefania reindlova row 2 : 1954 \| rome \| tamara manina \| eva bosakova \| maria gorokovskaya row 3 : 1958 \| moscow \| eva bosakova \| larisa latynina \| keiko tanaka row 4 : 1962 \| prague \| larisa latynina \| irina pervuschina \| vera caslavska row 5 : 1974 \| varna \| ludmila turicheva \| olga korbut \| elvira saad row 6 : 1978 \| strasbourg \| nellie kim elena \| None \| emilia eberle ka row 7 : 1983 \| budapest \| ekaterina szabo \| olga mostepanova \| boriana stoyanova row 8 : 1985 \| montreal \| oksana omelianchik \| elena shushunova \| ulrike klotz row 9 : 1991 \| indianapolis \| cristina bontas ok \| None \| kim zmeskal row 10 : 1993 \| birmingham \| shannon miller \| gina gogean \| natalia bobrova row 11 : 1994 \| brisbane \| dina kochetkova \| lavinia milosovici \| gina gogean row 12 : 1995 \| sabae \| gina gogean \| ji liya \| ludivine furnon row 13 : 1996 \| san juan \| kui yuan-yu \| None \| liubov sheremet row 14 : 1997 \| lausanne \| gina gogean \| svetlana khorkin \| elena produnova row 15 : 1999 \| tianjin \| andreea raducan \| simona amanar \| svetlana khorkin row 16 : 2001 \| ghent \| andreea raducan \| daniele hypolito \| svetlana khorkin row 17 : 2005 \| melbourne \| alicia sacramone \| anastasia liukin \| suzanne harmes row 18 : 2006 \| aarhus \| cheng fei \| jana bieger \| vanessa ferrari row 19 : 2009 \| london \| elizabeth tweddle \| lauren mitchell \| sui lu row 20 : 2010 \| rotterdam \| lauren mitchell \| aliya mustafina \| None row 21 : 2011 \| tokyo \| ksenia afanasy \| sui lu \| aly raisman row 22 : 2014 \| nanning \| None \| None \| None row 23 : 2015 \| glasgow \| None \| None \| None ] Execute this SQL based on the above table: select location where location in ( 'brisbane' , 'ghent' ) order by year desc limit 1	ghent
[ header: place \| code \| area (km2) \| population \| most spoken language row 1 : beatrix mine \| 40701 \| 0.17 \| 2492 \| sotho row 2 : boipatong \| 40702 \| 0.31 \| 1501 \| sotho row 3 : brandfort \| 40703 \| 3.2 \| 1516 \| afrikaans row 4 : fora \| 40704 \| 0.05 \| 530 \| sotho row 5 : ikgomotseng \| 40705 \| 1.07 \| 2254 \| tswana row 6 : joel mine \| 40706 \| 0.11 \| 728 \| sotho row 7 : lusaka \| 40707 \| 1.4 \| 6110 \| sotho row 8 : majwemasweu \| 40708 \| 2.5 \| 10328 \| sotho row 9 : makeleketla \| 40709 \| 1.35 \| 6629 \| sotho row 10 : masilo \| 40710 \| 3.02 \| 14903 \| sotho row 11 : star diamond mine \| 40712 \| 0.11 \| 212 \| sotho row 12 : theunissen \| 40713 \| 15.11 \| 1667 \| afrikaans row 13 : tshepong \| 40714 \| 0.54 \| 1710 \| sotho row 14 : verkeerdevlei \| 40715 \| 1.22 \| 151 \| afrikaans row 15 : winburg \| 40716 \| 70.22 \| 3371 \| sotho row 16 : remainder of the municipality \| 40711 \| 6696.44 \| 10304 \| sotho ] Execute this SQL based on the above table: select count ( * ) where most spoken language = 'sotho'	12
[ header: airing date \| english title (chinese title) \| number of episodes \| main cast \| theme song (t) sub-theme song (st) \| genre \| notes \| official website row 1 : 19 feb- 15 mar \| mutual affection 河東獅吼 \| 20 \| esther kwan, gordon la \| t: "怕老婆會發達" (david \| costume drama \| None \| None row 2 : 18 mar- 3 may \| dark tales 聊齋 \| 35 \| gallen lo, grace yu, ja \| t: "隔世情" (cass \| costume drama \| prequel to 1998's dark tales \| None row 3 : 6 may- 31 may \| money just can't buy 天降財神 \| 20 \| bobby au yeung, mari \| t: "運財有福星" (natalis \| modern drama \| None \| None row 4 : 3 jun- 21 jun \| crossing boundaries 盞鬼老豆 \| 15 \| mini kung, benz hui \| t: "覺悟" (vivian \| modern drama \| released overseas on april 3, 1995 \| None row 5 : 24 jun- 16 aug \| state of divinity 笑傲江湖 \| 40 \| jackie lui, fiona le \| t: "活得瀟灑" (alan \| costume drama \| None \| official website row 6 : 19 aug- 6 sep \| the price to pay 五個醒覺的少年 \| 20 \| john kwan, may kw \| t: "改改改" (hacken le \| modern drama \| released overseas on december 7, 1995 \| None row 7 : 9 sep- 4 oct \| night journey 殭屍福星 \| 20 \| yuen wah, dani \| t: "今天開始" (danie \| costume drama \| None \| None row 8 : 7 oct- 15 nov \| food of love 闔府統請 \| 30 \| wong he, kenix k \| t: "闔府統請" (gabriel \| modern drama \| None \| None row 9 : 10 nov- 20 dec \| journey to the west 西遊記 \| 30 \| dicky cheung, kw \| t: "西遊記" (dicky \| costume drama \| prequel to 1998's journey to the west \| official website row 10 : 30 dec 1996- 27 jan 1998 \| in the name of love 有肥人終成眷屬 \| 20 \| kent cheng, sunny chan \| t: "但願有情人" (mo \| modern drama \| None \| None ] Execute this SQL based on the above table: select abs ( ( select number of episodes where main cast = 'mini kung, benz hui' and genre = 'modern drama' ) - ( select number of episodes where main cast = 'mini kung, benz hui' and genre = 'modern drama' ) )	0.0
[ header: year \| host / location \| division i overall \| division i undergraduate \| division ii overall \| division ii community college row 1 : 1997 \| penn \| chicago \| None \| None \| None row 2 : 1998 \| vanderbilt \| stanford \| swarthmore \| harvard \| None row 3 : 1999 \| michigan \| chicago \| carleton \| princeton \| None row 4 : 2000 \| boston u \| illinois \| princeton \| harvard \| None row 5 : 2001 \| washington, st. louis \| chicago \| princeton \| pittsburgh \| None row 6 : 2002 \| north carolina \| michigan \| princeton \| yale \| valencia cc row 7 : 2003 \| ucla and caltech \| chicago \| harvard \| berkeley \| valencia cc row 8 : 2004 \| washington, st. louis \| cal-berkeley \| illinois \| ucla \| valencia cc row 9 : 2005 \| tulane \| michigan \| va commonwealth \| chicago \| faulkner st row 10 : 2006 \| maryland \| cal-berkeley \| williams college \| stanford \| broward cc row 11 : 2007 \| minnesota \| chicago \| carleton \| maryland \| valencia cc row 12 : 2008 \| washington, st. louis \| maryland \| harvard \| carleton \| valencia cc row 13 : 2009 \| dallas, texas \| chicago \| minnesota \| chicago \| northeast alabama cc row 14 : 2010 \| chicago, illinois \| chicago \| minnesota \| brown \| st. charles cc row 15 : 2011 \| chicago, illinois \| minnesota \| vcu \| yale \| chipola row 16 : 2012 \| chicago, illinois \| virginia \| ohio state \| harvard \| chipola row 17 : 2013 \| chicago, illinois \| yale \| ohio state \| stanford \| chipola row 18 : 2014 \| chicago, illinois \| virginia \| yale \| harvard \| valencia ] Execute this SQL based on the above table: select division i overall order by year desc limit 1	virginia
[ header: rank \| athlete \| time \| notes \| q row 1 : 1 \| habtamu fayisa \| 5:38.62 \| pb \| fa row 2 : 2 \| peter matheka mutuku ( \| 5:38.72 \| pb \| fa row 3 : 3 \| zakaria kiprotich ( \| 5:44.51 \| pb \| fa row 4 : 4 \| waleed elayah (ye \| 5:51.58 \| pb \| fa row 5 : 5 \| bilal tabti (alg) \| 5:56.21 \| pb \| fa row 6 : 6 \| yousif daifalla (su \| 5:56.46 \| pb \| fa row 7 : 7 \| salem attiatalla (eg \| 6:03.41 \| None \| fa row 8 : 8 \| daniel wong (usa \| 6:05.92 \| pb \| fa row 9 : 9 \| david morcillo (esp \| 6:10.90 \| None \| fb row 10 : 10 \| laurentiu rosu (rou \| 6:12.77 \| None \| fb row 11 : 11 \| grant gwynne (aus) \| 6:16.83 \| None \| fb row 12 : 12 \| ioran etchechury (bra \| 6:39.87 \| None \| fb row 13 : 13 \| bacem salhi (tun \| 6:43.17 \| None \| fb row 14 : None \| ahmed burhan (ksa \| dsq \| None \| fb row 15 : None \| zak seddon (gbr \| dsq \| None \| fb ] Execute this SQL based on the above table: select q order by time desc limit 1	fa
[ 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 count ( best finish ) where best finish = 't11'	1
[ header: outcome \| year \| championship \| surface \| opponent \| score row 1 : runner-up \| 2002 \| canada (toronto) (1) \| hard \| guillermo canas \| 4-6, 5-7 row 2 : winner \| 2003 \| montreal \| hard \| david nalbandian \| 6-1, 6-3 row 3 : winner \| 2003 \| cincinnati \| hard \| mardy fish \| 4-6, 7-6(7-3), 7 row 4 : winner \| 2004 \| miami \| hard \| guillermo coria \| 6-7(2-7), 6-3, 6 row 5 : runner-up \| 2004 \| toronto (2) \| hard \| roger federer \| 5-7, 3-6 row 6 : runner-up \| 2005 \| cincinnati \| hard \| roger federer \| 3-6, 5-7 row 7 : winner \| 2006 \| cincinnati (2) \| hard \| juan carlos ferrero \| 6-3, 6-4 row 8 : runner-up \| 2010 \| indian wells \| hard \| ivan ljubicic \| 6-7(3-7), 6-7(5-7 row 9 : winner \| 2010 \| miami (2) \| hard \| tomas berdych \| 7-5, 6-4 ] Execute this SQL based on the above table: select count ( * ) where score = opponent	0
[ header: no. \| train no: \| origin \| destination \| train name row 1 : 1 \| 56654 \| mangalore central \| kozhikode \| passenger row 2 : 2 \| 56324 \| mangalore central \| coimbatore city junction \| fast passenger row 3 : 3 \| 56656 \| mangalore central \| kannur \| passenger row 4 : 4 \| 56643/56645 \| mangalore central \| kabakaputtur \| passenger row 5 : 5 \| 56640 \| mangalore central \| verna \| passenger row 6 : 6 \| 56647 \| mangalore central \| subrahmanya road \| passenger row 7 : 7 \| 56661 \| mangalore central \| cheruvathur \| passenger row 8 : 8 \| 70106 \| mangalore central \| bhatkal \| demu ] Execute this SQL based on the above table: select train name where no. > 3 and train no: = 56661 and origin = 'mangalore central' order by no. limit 1	passenger
[ header: # \| title \| time \| lead vocals \| notes row 1 : 1 \| savior more than life \| 6:44 \| keisha grandy \| None row 2 : 2 \| whatcha lookin' 4 \| 4:25 \| darrell blair, dal \| None row 3 : 3 \| melodies from heaven \| 4:34 \| the family \| None row 4 : 4 \| conquerors \| 8:24 \| dalon collins \| None row 5 : 5 \| don't take your joy away \| 6:33 \| tamela mann \| None row 6 : 6 \| when i think about jesus \| 1:38 \| None \| None row 7 : 7 \| mama's song \| 4:16 \| kirk franklin \| None row 8 : 8 \| jesus paid it all \| 5:04 \| kirk franklin, darrell \| None row 9 : 9 \| i love you jesus \| 7:25 \| teresa young, stephani \| None row 10 : 10 \| washed away \| 5:20 \| jeannette johnson, carrie \| None row 11 : 11 \| where the spirit is \| 4:03 \| jon drummond \| None row 12 : 12 \| let me touch you \| 5:26 \| dalon collins \| None row 13 : 13 \| anything 4 u \| 5:08 \| david mann, yoland \| None row 14 : 14 \| whatcha lookin' 4 (remix) \| 4:36 \| kirk franklin, d \| drum & synth programming - buster row 15 : 15 \| melodies from heaven (skate remix \| 4:18 \| kirk franklin \| drum & synth programming - buster ] Execute this SQL based on the above table: select lead vocals order by title desc limit 1	jon drummond
[ header: year \| game \| developer \| setting \| platform \| notes row 1 : 1984 \| millionaire \| incentive software \| modern \| zx, bbc \| None row 2 : 1984 \| mugsy \| melbourne house \| historical \| zx \| None row 3 : 1992 \| patrician, the \| ascaron \| historical \| ami, dos, st \| first title in the series row 4 : 1993 \| dinopark tycoon \| mecc, manley & associates \| sci-fi \| 3do, dos, mac, win \| None row 5 : 1994 \| simhealth \| thinking tools \| modern \| dos \| None row 6 : 1994 \| simtower \| openbook \| modern \| mac, win3x, win9x \| None row 7 : 1995 \| kaiser deluxe \| linel \| historical \| dos, win \| remake of kaiser row 8 : 1997 \| herrscher der meere \| novatrix \| historical \| dos \| None row 9 : 1997 \| industry giant \| jowood \| modern \| win \| first title in the series row 10 : 1998 \| gangsters: organized crime \| hothouse \| historical \| win \| None row 11 : 1999 \| harvest moon 2 \| pack-in-video \| fantasy \| gbc \| sequel to harvest moon row 12 : 1999 \| x: beyond the frontier \| egosoft \| sci-fi \| win \| first title in the series row 13 : 2001 \| monopoly tycoon \| deep red \| modern \| win \| None row 14 : 2001 \| tv tycoon \| niels bauer \| modern \| win \| None row 15 : 2001 \| zoo tycoon \| blue fang \| modern \| ds, mac, win \| first title in the series row 16 : 2002 \| lemonade tycoon \| hexacto, jamdat \| modern \| palm, ppc, mobi, \| None row 17 : 2002 \| snowboard park tycoon \| cat daddy \| modern \| win \| None row 18 : 2003 \| atlantis underwater tycoon \| activision \| modern \| win \| None row 19 : 2003 \| casino, inc: the management \| hothouse \| modern \| win \| expansion to casino, inc row 20 : 2003 \| harvest moon: more friends of mineral town \| marvelous \| fantasy \| gba \| "female" version of harvest moon: row 21 : 2003 \| tropico 2: pirate cove \| frog city \| historical \| osx, win \| None row 22 : 2004 \| railroad tycoon 3: coast to \| poptop \| historical \| win \| expansion to railroad tycoon 3 row 23 : 2005 \| harvest moon ds \| marvelous \| fantasy \| ds \| None row 24 : 2006 \| anno 1701 \| related \| historical \| ds, win \| sequel to anno 1503: the new world row 25 : 2006 \| prison tycoon 2: maximum security \| virtual playground \| modern \| win \| sequel to prison tycoon row 26 : 2006 \| sid meier's railroads! \| firaxis \| historical \| win \| sequel to railroad tycoon 3 row 27 : 2006 \| tycoon city: new york \| deep red \| modern \| win \| None row 28 : 2007 \| catan \| big huge \| fantasy \| xbla \| None row 29 : 2008 \| x3: terran conflict \| egosoft \| sci-fi \| osx, win \| sequel to x3: reunion row 30 : 2010 \| gamebiz 3 \| velocigames \| modern \| win \| sequel to gamebiz 2 row 31 : 2011 \| tropico 4 \| haemimont games \| modern \| win, x360 \| None row 32 : 2011 \| anno 2070 \| related designs, ubisoft blue byte \| sci-fi \| win \| None row 33 : None \| jurassic genetics \| flaming nebula studios \| sci-fi \| win, mac \| None ] Execute this SQL based on the above table: select count ( game )	33
[ header: year \| title \| role \| notes row 1 : 1941 \| the maltese falcon \| kasper gutman \| nominated - academy award for best supporting row 2 : 1941 \| they died with their boots on \| lt. gen. winfield \| None row 3 : 1942 \| across the pacific \| dr. lorenz \| None row 4 : 1942 \| casablanca \| signor ferrari \| None row 5 : 1943 \| background to danger \| col. robinson \| None row 6 : 1944 \| passage to marseille \| major duval \| None row 7 : 1944 \| between two worlds \| rev. tim thompson \| None row 8 : 1944 \| the mask of dimitrios \| mr. peters \| None row 9 : 1944 \| the conspirators \| ricardo quintanilla \| None row 10 : 1944 \| hollywood canteen \| himself \| None row 11 : 1945 \| pillow to post \| col. michael otley \| None row 12 : 1945 \| conflict \| dr. mark hamilton \| None row 13 : 1945 \| christmas in connecticut \| alexander yardley \| None row 14 : 1946 \| three strangers \| jerome k. arbutny \| None row 15 : 1946 \| devotion \| william makepeace thacke \| None row 16 : 1946 \| the verdict \| supt. george e \| None row 17 : 1947 \| that way with women \| james p. alden \| None row 18 : 1947 \| the hucksters \| evan llewellyn \| None row 19 : 1948 \| the velvet touch \| capt. danbury \| None row 20 : 1948 \| ruthless \| buck mansfield \| None row 21 : 1948 \| the woman in white \| count alessandro fosco \| None row 22 : 1949 \| flamingo road \| sheriff titus semple \| None row 23 : 1949 \| malaya \| the dutchman \| None ] Execute this SQL based on the above table: select title where title < ( select title where title = 'ruthless' ) order by title desc limit 1	pillow to post
[ header: year \| driver \| nation of citizenship \| racing series \| type of vehicle row 1 : 1993 \| nigel mansell \| united kingdom \| formula one \| open wheel row 2 : 1994 \| nigel mansell \| united kingdom \| cart \| open wheel row 3 : 1995 \| al unser, jr \| united states \| cart \| open wheel row 4 : 1996 \| jeff gordon \| united states \| nascar \| stock car row 5 : 1997 \| jimmy vasser \| united states \| cart \| open wheel row 6 : 1998 \| jeff gordon \| united states \| nascar \| stock car row 7 : 1999 \| jeff gordon \| united states \| nascar \| stock car row 8 : 2000 \| dale jarrett \| united states \| nascar \| stock car row 9 : 2001 \| bobby labonte \| united states \| nascar \| stock car row 10 : 2002 \| michael schumacher \| germany \| formula one \| open wheel row 11 : 2003 \| tony stewart \| united states \| nascar \| stock car row 12 : 2004 \| dale earnhardt, jr \| united states \| nascar \| stock car row 13 : 2005 \| michael schumacher \| germany \| formula one \| open wheel row 14 : 2006 \| tony stewart \| united states \| nascar \| stock car row 15 : 2007 \| jeff gordon \| united states \| nascar \| stock car row 16 : 2008 \| jimmie johnson \| united states \| nascar \| stock car row 17 : 2009 \| jimmie johnson \| united states \| nascar \| stock car row 18 : 2010 \| jimmie johnson \| united states \| nascar \| stock car row 19 : 2011 \| jimmie johnson \| united states \| nascar \| stock car row 20 : 2012 \| tony stewart \| united states \| nascar \| stock car row 21 : 2013 \| ryan hunter-reay \| united states \| indycar series \| open wheel ] Execute this SQL based on the above table: select count ( * ) where racing series = 'cart'	3
[ header: games \| host city \| dates \| nations \| participants \| events row 1 : 1904 summer olympics \| st. louis, missouri \| 1 july - 23 november \| 12 \| 651 \| 91 row 2 : 1932 winter olympics \| lake placid, new york \| 7 - 15 february \| 17 \| 252 \| 14 row 3 : 1932 summer olympics \| los angeles, californi \| 30 july - 14 august \| 37 \| 1332 \| 117 row 4 : 1960 winter olympics \| squaw valley, californ \| 2 - 20 february \| 30 \| 665 \| 27 row 5 : 1980 winter olympics \| lake placid, new york \| 13 - 24 february \| 37 \| 1072 \| 38 row 6 : 1984 summer olympics \| los angeles, californi \| 20 july - 18 august \| 140 \| 6829 \| 221 row 7 : 1996 summer olympics \| atlanta, georgia \| 18 july - 4 august \| 197 \| 1318 \| 271 row 8 : 2002 winter olympics \| salt lake city, utah \| 8 - 24 february \| 77 \| 2399 \| 78 ] Execute this SQL based on the above table: select host city where host city in ( 'lake placid, new york' , 'salt lake city, utah' ) order by events desc limit 1	salt lake city, utah
[ header: manufacturer \| model \| first flight \| max payload (t) \| cruise (km/h) \| max range (km) \| mtow row 1 : airbus \| a330 mrtt \| 2007 \| 45 \| 860 \| 14,800 \| 223 row 2 : airbus \| a400m \| 2009 \| 37 \| 780 \| 9,300 \| 141 row 3 : alenia \| c-27j spartan \| 2008 \| 11.5 \| 583 \| 5,926 \| 31.8 row 4 : antonov \| an-12 \| 1957 \| 20 \| 777 \| 5,700 \| 61 row 5 : antonov \| an-22 antei \| 1965 \| 80 \| 740 \| 5,000 \| 250 row 6 : antonov \| an-26 \| 1969 \| 5.5 \| 440 \| 2,550 \| 24 row 7 : antonov \| an-32 \| 1976 \| 6.7 \| 480 \| 2,500 \| 26.9 row 8 : antonov \| an-70 \| 1994 \| 47 \| 729 \| 6,600 \| 145 row 9 : antonov \| an-72 \| 1977 \| 7.5 \| 600 \| 4,800 \| 33 row 10 : antonov \| an-124 ruslan \| 1982 \| 150 \| 800-850 \| 5,410 \| 405 row 11 : antonov \| an-225 mriya \| 1988 \| 250 \| 800 \| 15,400 \| 600 row 12 : avic \| y-8 \| 1974 \| 20 \| 550 \| 5,616 \| 61 row 13 : avic \| y-9 \| 2008 \| 25 \| 650 \| 7,800 \| 77 row 14 : avic \| y-20 \| 2013 \| 66 \| 700 \| 7,800 \| 220 row 15 : bell/boeing \| v-22 osprey \| 1989 \| 6.8 \| 396 \| 1,627 \| 27.4 row 16 : boeing \| c-17 globemaster iii \| 1991 \| 77.5 \| 830 \| 4,482 \| 265 row 17 : casa \| c-212 aviocar \| 1971 \| 2.8 \| 315 \| 1,433 \| 8 row 18 : casa/indonesian aerospace \| cn-235 \| 1983 \| 5 \| 509 \| 5,003 \| 15.1 row 19 : casa \| c-295 \| 1998 \| 9.3 \| 481 \| 5,630 \| 23.2 row 20 : de havilland canada \| c-7 caribou \| 1958 \| 3.6 \| 348 \| 2,103 \| 14.2 row 21 : douglas \| c-47 \| 1943 \| 3 \| 360 \| 2,600 \| 10.5 row 22 : grumman \| c-2 greyhound \| 1964 \| 4.5 \| 465 \| 2,400 \| 24.7 row 23 : embraer \| kc-390 \| 2014 \| 23 \| 900 \| 6,200 \| 72 row 24 : fairchild \| c-123 provider \| 1949 \| 11 \| 367 \| 1,666 \| 27 row 25 : ilyushin \| il-76 \| 1971 \| 47 \| 900 \| 4,400 \| 210 row 26 : ilyushin \| il-112 \| 2011 \| 5.9 \| 550 \| 5,000 \| 20 row 27 : kawasaki \| c-1 \| 1970 \| 11.9 \| 657 \| 1,300 \| 45 row 28 : kawasaki \| xc-2 \| 2010 \| 37.6 \| 890 \| 6,500 \| 120 row 29 : lockheed \| c-5 galaxy \| 1968 \| 122 \| 907 \| 4,445 \| 381 row 30 : lockheed \| c-130 hercules \| 1954 \| 20 \| 540 \| 3,800 \| 70.3 row 31 : lockheed \| c-141 starlifter \| 1963 \| 45 \| 912 \| 9,880 \| 147 row 32 : pzl mielec \| m-28 skytruck \| 1993 \| 2.5 \| 270 \| 1,500 \| 8 row 33 : short brothers \| c-23 sherpa \| 1982 \| 3.2 \| 296 \| 1,239 \| 3.2 row 34 : transport allianz \| transall c-160 \| 1963 \| 16 \| 513 \| 1,850 \| 49.2 row 35 : uac and hal \| uac/hal multirole transport \| 2015 \| 22 \| 830 \| 2,500 \| 68 ] Execute this SQL based on the above table: select manufacturer where mtow = 220	avic
[ header: # \| picture \| name \| took office \| left office \| party row 1 : 1 \| None \| johan ferrier \| 25 november 1975 \| 13 august 1980 (resigned after a febr \| independent row 2 : 2 \| None \| hendrick chin a s \| 15 august 1980 \| 4 february 1982 \| pnr row 3 : 3 \| None \| fred ramdat misier \| 8 february 1982 \| 25 january 1988 \| independent row 4 : 4 \| 60px \| ramsewak shankar \| 25 january 1988 \| 24 december 1990 (deposed) \| vhp row 5 : 5 \| 60px \| johan kraag \| 29 december 1990 \| 16 september 1991 \| nps row 6 : 6 \| None \| ronald venetiaan \| 16 september 1991 \| 15 september 1996 \| nps row 7 : 7 \| None \| jules wijdenbosch \| 15 september 1996 \| 12 august 2000 \| ndp row 8 : (6) \| None \| ronald venetiaan \| 12 august 2000 \| 12 august 2010 \| nps row 9 : 8 \| None \| desi bouterse \| 12 august 2010 \| incumbent \| ndp ] Execute this SQL based on the above table: select picture where party = 'nps'	60
[ header: week \| date \| opponent \| result \| record \| game site \| bye row 1 : 1 \| march 31, 2006 \| louisville fire \| w 45-37 \| 1-0 \| wachovia arena \| 0 row 2 : 2 \| None \| None \| None \| None \| None \| 1 row 3 : 3 \| april 14, 2006 \| albany conquest \| w 55-48 (ot) \| 2-0 \| times union center \| 0 row 4 : 4 \| april 21, 2006 \| south georgia wildcats \| w 36-33 \| 3-0 \| wachovia arena \| 0 row 5 : 5 \| april 29, 2006 \| manchester wolves \| w 62-47 \| 4-0 \| verizon wireless arena \| 0 row 6 : 6 \| may 5, 2006 \| green bay blizzard \| w 42-27 \| 5-0 \| wachovia arena \| 0 row 7 : 7 \| may 13, 2006 \| tulsa talons \| l 53-37 \| 5-1 \| wachovia arena \| 0 row 8 : 8 \| may 20, 2006 \| macon knights \| w 38-22 \| 6-1 \| macon coliseum \| 0 row 9 : 9 \| may 27, 2006 \| manchester wolves \| l 48-28 \| 6-2 \| wachovia arena \| 0 row 10 : 10 \| june 3, 2006 \| louisville fire \| w 51-48 \| 7-2 \| freedom hall \| 0 row 11 : 11 \| june 10, 2006 \| albany conquest \| l 73-70 \| 7-3 \| times union center \| 0 row 12 : 12 \| june 17, 2006 \| quad city steamwheelers \| w 55-52 \| 8-3 \| wachovia arena \| 0 row 13 : 13 \| june 24, 2006 \| green bay blizzard \| l 65-35 \| 8-4 \| resch center \| 0 row 14 : 14 \| None \| None \| None \| None \| None \| 1 row 15 : 15 \| july 8, 2006 \| florida firecats \| l 56-51 \| 8-5 \| wachovia arena \| 0 row 16 : 16 \| july 14, 2006 \| manchester wolves \| l 45-14 \| 8-6 \| verizon wireless arena \| 0 row 17 : 17 \| july 22, 2006 \| quad city steamwheelers \| l 55-34 \| 8-7 \| i wireless center \| 0 row 18 : 18 \| july 29, 2006 \| albany conquest \| w 54-27 \| 9-7 \| wachovia arena \| 0 ] Execute this SQL based on the above table: select count ( * ) where result = 'w 51-48'	1
[ header: player \| year \| round \| result \| opponent row 1 : raymond van barneveld \| 2009 \| quarter-final \| won \| jelle klaasen row 2 : raymond van barneveld \| 2010 \| 2nd round \| won \| brendan dolan row 3 : adrian lewis \| 2011 \| final \| won \| gary anderson row 4 : dean winstanley \| 2013 \| 2nd round \| lost \| vincent van der voort row 5 : michael van gerwen \| 2013 \| semi final \| won \| james wade row 6 : terry jenkins \| 2014 \| 1st round \| lost \| per laursen row 7 : kyle anderson \| 2014 \| 1st round \| lost \| ian white ] Execute this SQL based on the above table: select year where player = 'kyle anderson' and year = 2014	2014
[ header: # \| date \| visitor \| score \| home \| record \| pts row 1 : 1 \| december 27 \| toronto \| 7-1 \| montreal canadiens \| 1-0-0 \| 2 row 2 : 2 \| december 30 \| quebec bulldogs \| 5-8 \| toronto \| 2-0-0 \| 4 row 3 : 3 \| january 3 \| toronto 228th battalion \| 4-9 \| toronto \| 2-1-0 \| 4 row 4 : 4 \| january 6 \| toronto \| 2-3 \| ottawa senators \| 2-2-0 \| 4 row 5 : 5 \| january 10 \| montreal wanderers \| 4-9 \| toronto \| 3-2-0 \| 6 row 6 : 6 \| january 13 \| montreal canadiens \| 6-2 \| toronto \| 3-3-0 \| 6 row 7 : 7 \| january 17 \| toronto \| 5-1 \| quebec bulldogs \| 4-3-0 \| 8 row 8 : 8 \| january 20 \| toronto \| 6-8 \| toronto 228th battalion \| 4-4-0 \| 8 row 9 : 9 \| january 24 \| ottawa senators \| 5-8 \| toronto \| 5-4-0 \| 10 row 10 : 10 \| january 27 \| toronto \| 3-8 \| montreal wanderers \| 5-5-0 \| 10 ] Execute this SQL based on the above table: select visitor order by pts desc limit 1	ottawa senators
[ header: pennant \| name \| hull builder \| ordered \| laid down \| launched \| accepted into service \| commissioned \| est. building cost \| fate row 1 : f169 \| amazon \| vosper thornycroft, woolston \| 26 march 1969 \| 6 november 1969 \| 26 april 1971 \| 19 july 1974 \| 11 may 1974 \| £16.8m \| to pakistan as babur row 2 : f170 \| antelope \| vosper thornycroft \| 11 may 1970 \| 23 march 1971 \| 16 march 1972 \| 30 june 1975 \| 16 july 1975 \| £14.4m \| bombed by argentine a-4 row 3 : f172 \| ambuscade \| yarrow shipbuilders, scot \| 11 november 1971 \| 1 september 1971 \| 18 january 1973 \| 23 august 1975 \| 5 september 1975 \| £16.5m \| to pakistan as tariq row 4 : f173 \| arrow \| ysl \| 11 november 1971 \| 28 september 1972 \| 5 february 1974 \| 16 may 1975 \| 29 july 1976 \| £20.2m \| to pakistan as khaibar row 5 : f171 \| active \| vosper thornycroft \| 11 may 1970 \| 21 july 1971 \| 23 november 1972 \| 2 june 1977 \| 17 june 1977 \| £24.1m \| to pakistan as shah ja row 6 : f174 \| alacrity \| ysl \| 11 november 1971 \| 5 march 1973 \| 18 september 1974 \| 2 april 1977 \| 2 july 1977 \| £23.8m \| to pakistan as badr row 7 : f184 \| ardent \| ysl \| 11 november 1971 \| 26 february 1974 \| 9 may 1975 \| 10 september 1977 \| 14 october 1977 \| £26.3m \| bombed by argentine a-4 row 8 : f185 \| avenger \| ysl \| 11 november 1971 \| 30 october 1974 \| 20 november 1975 \| 15 april 1978 \| 15 april 1978 \| £27.7m \| to pakistan as tippu s ] Execute this SQL based on the above table: select count ( * ) where est. building cost >= 4	8
[ header: team \| winners \| runners-up \| years won \| years lost row 1 : bayern munich \| 5 \| 4 \| 1982, 1987, 1990, 2010, 2012 \| 1989, 1994, 2008, 2013 row 2 : borussia dortmund \| 5 \| 2 \| 1989, 1995, 1996, 2008, 2013 \| 2011, 2012 row 3 : werder bremen \| 4 \| 1 \| 1988, 1993, 1994, 2009 \| 1991 row 4 : kaiserslautern \| 1 \| 2 \| 1991 \| 1990, 1996 row 5 : schalke 04 \| 1 \| 2 \| 2011 \| 1940, 2010 row 6 : borussia monchengladbach \| 1 \| 1 \| 1977 \| 1995 row 7 : stuttgart \| 1 \| 0 \| 1992 \| None row 8 : dresdner sc \| 1 \| 0 \| 1940 \| None row 9 : hamburg \| 0 \| 3 \| None \| 1977, 1982, 1987 row 10 : eintracht frankfurt \| 0 \| 1 \| None \| 1988 row 11 : hannover 96 \| 0 \| 1 \| None \| 1992 row 12 : bayer leverkusen \| 0 \| 1 \| None \| 1993 row 13 : wolfsburg \| 0 \| 1 \| None \| 2009 ] Execute this SQL based on the above table: select years won where years won <= 285	1982, 1987, 1990, 2010, 2012, 1989, 1995, 1996, 2008, 2013, 1988, 1993, 1994, 2009, 1991, 2011, 1977, 1992, 1940
[ header: original work \| liszt work \| forces \| date \| s no. \| notes row 1 : opera lucrezia borgia (1833 \| reminiscences de lucrezi \| piano \| 1840 \| s.400 \| the sections are: (1) trio du second acte row 2 : opera lucia di lammermoor (18 \| reminiscences de luci \| piano \| 1835-36 \| s.397 \| based on the sextet row 3 : opera lucia di lammermoor (18 \| marche et cavatine de luci \| piano \| 1835-36 \| s.398 \| intended as part of the reminisc row 4 : lucia di lammermoor \| valse a capriccio \| piano \| 1842 \| s.401 \| combines motifs from lucia di la row 5 : opera parisina (1833) \| valse a capriccio \| piano \| 1842 \| s.401 \| combines motifs from lucia di la row 6 : nuits d'ete a \| nuits d'ete a \| piano \| 1838 \| s.399 \| None row 7 : opera la favorite (1840): duettin \| spirito gentil \| piano \| 1847 \| s.400a \| possibly same as s.742 row 8 : opera dom sebastien (1843): \| marche funebre de dom sebastien \| piano \| 1844 \| s.402 \| None row 9 : act iv \| paraphrase \| piano \| None \| s.744 \| lost; this was based on theodor row 10 : "duettino" \| transcription \| piano \| None \| s.742 \| lost. possibly same as s.400a ] Execute this SQL based on the above table: select count ( * ) where s no. = 'reminiscences de lucia di lammermoor'	0
[ header: rank \| country \| winners \| runners-up \| finals total row 1 : 1 \| spain \| 17 \| 8 \| 25 row 2 : 2 \| germany east germany \| 11 1 12 \| 10 3 13 \| 21 4 25 row 3 : 3 \| soviet union russia \| 2 1 3 \| 1 0 1 \| 3 1 4 row 4 : 4 \| hungary \| 2 \| 3 \| 5 row 5 : 5 \| belarus \| 2 \| 0 \| 2 row 6 : 6 \| france \| 1 \| 3 \| 4 row 7 : 7 \| sweden \| 0 \| 2 \| 2 row 8 : 8 \| bosnia & herzegov \| 0 \| 1 \| 1 row 9 : 8 \| croatia \| 0 \| 1 \| 1 row 10 : 8 \| czech republic \| 0 \| 1 \| 1 row 11 : 8 \| denmark \| 0 \| 1 \| 1 row 12 : 8 \| romania \| 0 \| 1 \| 1 row 13 : 8 \| serbia \| 0 \| 1 \| 1 row 14 : 8 \| switzerland \| 0 \| 1 \| 1 row 15 : total \| total \| 37 \| 37 \| 74 ] Execute this SQL based on the above table: select count ( distinct country )	15

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[ header: year \| film \| song \| language row 1 : 2005 \| the tiger \| kaliya visha dhara \| malayalam row 2 : 2006 \| chinthamani kolacase \| asathoma \| malayalam row 3 : 2006 \| the don \| theme song \| malayalam row 4 : 2007 \| detective \| theme song \| malayalam row 5 : 2008 \| sound of boot \| yamuna sangitaam \| malayalam row 6 : 2009 \| kerala cafe (bgm) \| lalitham hiranmyam \| malayalam row 7 : 2010 \| ringtone \| 5 songs \| malayalam row 8 : 2010 \| "thriller \| bgm \| malayalam row 9 : 2011 \| thaazhvaarakaat \| 5 songs \| malayalam row 10 : 2012 \| shyloo \| shyloo \| kannada row 11 : 2012 \| crime story \| 3 songs \| malayalam row 12 : 2012 \| munjane \| yaro ob sund \| kannada row 13 : 2012 \| sankranthi \| belakkilla balali \| kannada row 14 : 2012 \| kai thunindavan \| 5 songs \| tamil ] Execute this SQL based on the above table: select count ( * ) where song = 'kaliya visha dhara'	1
[ header: rank \| name \| height \| floors \| year \| notes row 1 : 1 \| zions bank building zions bank building \| 323 ft (98 m) \| 20 \| 2013 \| tallest building in state since 2013 row 2 : 2 \| boise airport air traffic control tower \| 295 ft (90 m) \| None \| 2009 \| tallest atc tower in the northwest row 3 : 3 \| us bank plaza us bank building in downtown bois \| 267 ft (81 m) \| 19 \| 1978 \| tallest building in state from 1978 to 2013. " row 4 : 3 \| one capital center one capital center in downtown boise \| 206 ft (63 m) \| 14 \| 1975 \| tallest building in boise from 1975 to 1978 row 5 : 4 \| idaho state capitol i \| 198 ft (60 m) \| 4 \| 1920 \| tallest building in boise from 1920 to 1975 row 6 : 5 \| the grove hotel grove hotel in downtown bois \| 196 ft (60 m) \| 16 \| 2000 \| None row 7 : 6 \| the aspen aspen loft building in downtown bois \| 194 ft (59 m) \| 17 \| 2009 \| None row 8 : 7 \| wells fargo building wells fargo building \| 182 ft (55 m) \| 11 \| 1988 \| first interstate until 1996 row 9 : 8 \| banner bank building banner bank building in downtown boise \| 181 ft (55 m) \| 11 \| 2006 \| None row 10 : 9 \| key tower key bank building in downtown boise, \| 174 ft (53 m) \| 13 \| 1963 \| bank of idaho until 1981 row 11 : 10 \| bronco stadium bronco stadium in bois \| 170 ft (52 m) \| None \| 1970 \| None row 12 : 11 \| hoff building hoff building in downtown boise \| 165 ft (50 m) \| 14 \| 1930 \| None row 13 : 12 \| chase tower plaza chase building in downtown boise \| 160 ft (49 m) \| 11 \| 1995 \| washington mutual until 2009 row 14 : 13 \| idaho power building i \| 160 ft (49 m) \| 9 \| 1990 \| None ] Execute this SQL based on the above table: select name group by name order by count ( * ) desc limit 1	zions bank building zions bank building in downtown boise, idaho
[ header: goal \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 10 october 1998 \| tyencastle park, e \| estonia \| 1-1 \| 3-2 \| ecqg9 row 2 : 2 \| 10 october 1998 \| tyencastle park, e \| estonia \| 3-2 \| 3-2 \| ecqg9 row 3 : 3 \| 14 october 1998 \| pittodrie stadium, aberdeen \| faroe islands \| 2-0 \| 2-1 \| ecqg9 row 4 : 4 \| 4 september 1999 \| olimpijski stadion \| bosnia and herzegovin \| 2-1 \| 2-1 \| ecqg9 row 5 : 5 \| 24 march 2001 \| hampden park, glasgow \| belgium \| 1-0 \| 2-2 \| wcqg6 row 6 : 6 \| 24 march 2001 \| hampden park, glasgow \| belgium \| 2-0 \| 2-2 \| wcqg6 row 7 : 7 \| 28 march 2001 \| hampden park, glasgow \| san marino \| 3-0 \| 4-0 \| wcqg6 ] Execute this SQL based on the above table: select avg ( goal )	4.0
[ header: serial number \| river \| name \| area (km2) \| district \| co-ordinate \| altitude (m) row 1 : 1 \| bharathapuzha \| malampuzha \| 23.13 \| palakkad \| 10°50′n 76°41′ \| 104 row 2 : 2 \| bharathapuzha \| mangalam \| 3.93 \| palakkad \| 10°31′n 76°32′ \| 72 row 3 : 3 \| bharathapuzha \| meenkara \| 2.59 \| palakkad \| 10°37′n 76°48′ \| 152 row 4 : 4 \| bharathapuzha \| chulliar \| 1.59 \| palakkad \| 10°35′n 76°46′ \| 143 row 5 : 5 \| bharathapuzha \| pothundi \| 3.63 \| palakkad \| 10°32′n 76°38′ \| 93 row 6 : 9 \| chalakkudy \| thunakkadavu \| 2.83 \| palakkad \| 10°25′59′′n 76° \| 565 row 7 : 10 \| chalakkudy \| peruvaaripallam \| None \| palakkad \| 10°26′49′′n 76° \| 565 row 8 : 12 \| chalakkudy \| peringalkuthu dam \| 2.63 \| thrissur \| None \| None row 9 : 13 \| kallada \| parappar \| 25.9 \| kollam \| 09° 57' 77° 4' \| None row 10 : 15 \| karuvanoor \| peechi \| 12.63 \| thrissur \| 10°32′n 76°23′ \| 73 row 11 : 16 \| keecheri \| vazhani \| 2.55 \| thrissur \| 10° 40' 76° 15' \| None row 12 : 17 \| kuttiadi \| kuttiadi \| 10.52 \| kozhikode \| 11° 36' 75° 49'27" \| None row 13 : 19 \| pamba \| pamba \| 5.7 \| pathanamthitta \| 09° 20' 76° 53' \| None row 14 : 20 \| pamba \| kakki \| 18 \| pathanamthitta \| None \| None row 15 : 21 \| periyar \| idukki \| 61.6 \| idukki \| 09° 48' 76° 53' \| 720 row 16 : 22 \| periyar \| ponmudi \| 2.6 \| idukki \| 09° 55' 77° 05' \| None row 17 : 24 \| periyar \| kundala \| 2.3 \| idukki \| 10° 0' 77° 0 \| None row 18 : 26 \| periyar \| sengulam \| 0.33 \| idukki \| 10° 00' 77° 05 \| None row 19 : 27 \| periyar \| neriamangalam \| 4.13 \| idukki \| None \| None row 20 : 30 \| valapattanam \| pazhassi \| 6.48 \| kannur \| None \| None row 21 : 33 \| chimmini dam \| thrissur \| 85.067 \| thrissur \| None \| None ] Execute this SQL based on the above table: select district where co-ordinate is null	thrissur, pathanamthitta, idukki, kannur, thrissur
[ header: name \| country \| ambassador since \| projects and activities they support \| link row 1 : ara abramyan \| russia \| 15 july 2003 \| dialogue among civilizations \| row 2 : valdas adamkus \| lithuania \| 29 september 2003 \| construction of knowledge societies \| row 3 : mehriban aliyeva \| azerbaijan \| 9 september 2004 \| promotion and safeguarding of intangible cultural heritage \| row 4 : alicia alonso \| cuba \| 7 june 2002 \| promotion of ballet dancing (programme of intang \| row 5 : pierre berge \| france \| 2 july 1993 \| campaign against hiv/aids, human rights \| row 6 : chantal biya \| cameroon \| 14 november 2008 \| education and social inclusion \| row 7 : the princess of hanover \| monaco \| 2 december 2003 \| protection of children and the family, empowerment of women \| row 8 : miguel angel estrella \| argentina \| 26 october 1989 \| promotion of culture of peace and tolerance through music \| row 9 : vigdis finnbogadotti \| iceland \| 1998 \| promotion of linguistic diversity, women's rights \| row 10 : princess firyal of jordan \| jordan \| 1992 \| promotion of the education for all initiative, humanitarian actions \| row 11 : ivry gitlis \| israel \| 1990 \| support of education and culture of peace and tolerance \| row 12 : bahia hariri \| lebanon \| 17 november 2000 \| preservation of world heritage, education, culture, women \| row 13 : jean michel jarre \| france \| 24 may 1993 \| protection of the environment (water, fight against desert \| row 14 : princess lalla meryem of mor \| morocco \| july 2001 \| protection of childhood and women's rights \| row 15 : omer zulfu livan \| turkey \| 20 september 1996 \| promotion of peace and polerance through music and promotion \| row 16 : princess maha chakri sirindhorn of \| thailand \| 24 march 2005 \| empowerment of minority children and the preservation of their in \| row 17 : keith chatsauka-coetze \| south africa \| 12 july 2012 \| None \| row 18 : rigoberta menchu tum \| guatemala \| 21 june 1996 \| promotion of culture of peace, protection of rights of \| row 19 : vik muniz \| brazil \| 27 may 2011 \| None \| row 20 : kitin munoz \| spain \| 22 april 1997 \| protection and promotion of indigenous cultures and their environment \| row 21 : cristina owen-jones \| italy \| 23 march 2004 \| hiv/aids prevention education program \| row 22 : kim phuc phan \| vietnam \| 10 november 1994 \| protection and education for children, orphans and \| row 23 : susana rinaldi \| argentina \| 28 april 1992 \| street children, culture of peace \| row 24 : sheikh ghassan i. \| saudi arabia \| 1989 \| fundraising, children and women in need, victims of \| row 25 : madanjeet singh \| india \| 16 november 2000 \| founder of the south asia foundation, which promote \| row 26 : zurab tsereteli \| georgia \| 30 march 1996 \| cultural and artistic projects \| ] Execute this SQL based on the above table: select country where name = 'madanjeet singh'	india
[ header: year \| winner \| runner-up \| final score \| third row 1 : 1992 \| budivelnyk \| nki mykolaiv \| round-robin \| spartak lugansk row 2 : 1993 \| budivelnyk \| ska kyiv \| round-robin \| nki mykolaiv row 3 : 1994 \| budivelnyk \| kyiv-basket \| 3-0 \| bipa-moda odesa row 4 : 1995 \| budivelnyk \| kyiv-basket \| 3-0 \| shakhtar-asko donetsk row 5 : 1996 \| budivelnyk \| shakhtar donetsk \| round-robin \| kyiv-basket row 6 : 1997 \| budivelnyk \| bipa-moda odesa \| 3-2 \| kyiv-basket row 7 : 1998 \| bipa-moda odesa \| budivelnyk \| 3-0 \| sc mykolaiv row 8 : 1999 \| bipa-moda odesa \| cska-riko kyiv \| 3-2 \| budivelnyk row 9 : 2000 \| kyiv \| mbc odesa \| 3-2 \| cska-ukrtatna row 10 : 2001 \| mbc odesa \| kyiv \| 3-2 \| azovmash row 11 : 2002 \| mbc odesa \| kyiv \| 3-2 \| azovmash row 12 : 2003 \| azovmash \| mbc odesa \| 4-0 \| kyiv row 13 : 2004 \| azovmash \| kyiv \| 4-2 \| mbc odesa row 14 : 2005 \| kyiv \| azovmash \| 3-0 \| khimik row 15 : 2006 \| azovmash \| kyiv \| 3-1 \| khimik row 16 : 2007 \| azovmash \| kyiv \| 3-2 \| khimik row 17 : 2008 \| azovmash \| kyiv \| 3-1 \| khimik row 18 : 2009 \| azovmash \| donetsk \| 3-0 \| khimik row 19 : 2010 \| azovmash \| budivelnyk \| 3-2 \| ferro-zntu row 20 : 2011 \| budivelnyk \| donetsk \| 4-3 \| hoverla row 21 : 2012 \| donetsk \| azovmash \| 4-0 \| ferro-zntu row 22 : 2013 \| budivelnyk \| azovmash \| 4-3 \| ferro-zntu ] Execute this SQL based on the above table: select winner where winner in ( 'kyiv' , 'azovmash' ) order by year desc limit 1	azovmash
[ header: year \| author \| illustrator \| title \| publisher row 1 : 1982 \| angela carter (ed. and translator \| michael foreman \| sleeping beauty and other favourite fairy tales \| v. gollancz row 2 : 1983 \| anthony browne \| browne \| gorilla \| julia macrae row 3 : 1984 \| john burningham \| burningham \| granpa \| j. cape row 4 : 1985 \| ted hughes (1968) \| andrew davidson \| the iron man \| faber row 5 : 1986 \| allan ahlberg \| janet ahlberg \| the jolly postman \| heinemann row 6 : 1987 \| charles causley \| charles keeping \| jack the treacle eater \| macmillan row 7 : 1988 \| lewis carroll (1865) \| anthony browne \| alice's adventures in wonderland \| julia macrae row 8 : 1989 \| martin waddell \| barbara firth \| the park in the dark \| walker row 9 : 1990 \| quentin blake \| blake \| all join in \| j. cape row 10 : 1991 \| colin mcnaughton \| mcnaughton \| have you seen who's just moved in next \| walker row 11 : 1992 \| raymond briggs \| briggs \| the man \| julia macrae row 12 : 1993 \| karen wallace \| mike bostock \| think of an eel \| walker row 13 : 1994 \| trish cooke \| helen oxenbury \| so much \| walker row 14 : 1995 \| kathy henderson \| patrick benson \| the little boat \| walker row 15 : 1996 \| babette cole \| cole \| drop dead \| j. cape row 16 : 1997 \| william mayne \| jonathan heale \| lady muck \| heinemann row 17 : 1998 \| anthony browne \| browne \| voices in the park \| doubleday row 18 : 1999 \| lewis carroll (1865) \| helen oxenbury \| alice's adventures in wonderland \| walker ] Execute this SQL based on the above table: select title where year = 1982	sleeping beauty and other favourite fairy tales
[ header: place \| player \| country \| score \| to par row 1 : 1 \| tiger woods \| united states \| 67-66-67=200 \| -16 row 2 : t2 \| thomas bjørn \| denmark \| 69-69-68=206 \| -10 row 3 : t2 \| david duval \| united states \| 70-70-66=206 \| -10 row 4 : t4 \| darren clarke \| northern ireland \| 70-69-68=207 \| -9 row 5 : t4 \| loren roberts \| united states \| 69-68-70=207 \| -9 row 6 : t4 \| david toms \| united states \| 69-67-71=207 \| -9 row 7 : t7 \| ernie els \| south africa \| 66-72-70=208 \| -8 row 8 : t7 \| steve flesch \| united states \| 67-70-71=208 \| -8 row 9 : t7 \| tom lehman \| united states \| 68-70-70=208 \| -8 row 10 : t7 \| dennis paulson \| united states \| 68-71-70=208 \| -8 ] Execute this SQL based on the above table: select abs ( ( select to par where player = 'steve flesch' ) - ( select to par where player = 'dennis paulson' ) )	0
[ header: conference \| date \| place \| attendance \| archive of presentations row 1 : wikimania 2005 \| august 5-7 \| frankfurt, germany \| 380 \| slides, video row 2 : wikimania 2006 \| august 4-6 \| cambridge, united states \| 400 \| slides and papers, video row 3 : wikimania 2007 \| august 3-5 \| taipei, roc ( \| 440 \| commons gallery row 4 : wikimania 2008 \| july 17-19 \| alexandria, eg \| 650 \| abstracts, slides,video row 5 : wikimania 2009 \| august 26-28 \| buenos aires, argentina \| 559 \| slides, video row 6 : wikimania 2010 \| july 9-11 \| gdansk, poland \| about 500 \| slides row 7 : wikimania 2011 \| august 4-7 \| haifa, israel \| 720 \| presentations, video row 8 : wikimania 2012 \| july 12-15 \| washington, d.c., united \| 1400 \| presentations, videos row 9 : wikimania 2013 \| august 7-11 \| hong kong \| 700 \| presentations, videos row 10 : wikimania 2014 \| august 6-10 \| london, united kingdom \| None \| None ] Execute this SQL based on the above table: select abs ( ( select attendance where conference = 'wikimania 2011' ) - ( select attendance where conference = 'wikimania 2010' ) )	220.0
[ header: main author \| no. of patients \| duration of follow-up years \| linearized rate of infection \| actuarial freedom from infective endocarditis row 1 : pavie \| 675 \| 5 \| None \| 98.2% for all patients, 97 row 2 : duncan (a) \| 2720 \| 6 \| None \| 97.3% for all patients, 97 row 3 : ionescu (b) \| 1171 \| 10 \| None \| 93.7% for all patients, 94 row 4 : zhu \| 520 \| 10 \| None \| 98% for all patients row 5 : revuelta \| 239 \| 8 \| 0.67% per patient year \| None row 6 : garcia-bengochea \| 248 \| 8 \| 0.78% per patient year \| None row 7 : holden (c) \| 290 \| 6 \| 1.1% per patient year \| None row 8 : bachet (d) \| 224 \| 6 \| 1.6% per patient year \| None ] Execute this SQL based on the above table: select linearized rate of infection where linearized rate of infection in ( '0.78% per patient year' , '1.1% per patient year' ) order by no. of patients desc limit 1	1.1% per patient year
[ header: pos \| no. \| rider \| manufacturer \| laps \| time/retired \| grid \| points row 1 : 1 \| 75 \| mattia pasini \| aprilia \| 27 \| 39:44.091 \| 3 \| 25 row 2 : 2 \| 19 \| alvaro bautista \| aprilia \| 27 \| 0.01 \| 2 \| 20 row 3 : 3 \| 52 \| lukas pesek \| derbi \| 27 \| 0.111 \| 1 \| 16 row 4 : 5 \| 24 \| simone corsi \| gilera \| 27 \| 9.372 \| 9 \| 11 row 5 : 6 \| 1 \| thomas luthi \| honda \| 27 \| 10.57 \| 13 \| 10 row 6 : 7 \| 18 \| nicolas terol \| derbi \| 27 \| 11.835 \| 5 \| 9 row 7 : 8 \| 36 \| mika kallio \| ktm \| 27 \| 11.905 \| 4 \| 8 row 8 : 9 \| 6 \| joan olive \| aprilia \| 27 \| 26.017 \| 16 \| 7 row 9 : 10 \| 33 \| sergio gadea \| aprilia \| 27 \| 26.172 \| 12 \| 6 row 10 : 11 \| 32 \| fabrizio lai \| honda \| 27 \| 26.361 \| 6 \| 5 row 11 : 12 \| 38 \| bradley smith \| honda \| 27 \| 26.389 \| 14 \| 4 row 12 : 13 \| 11 \| sandro cortese \| honda \| 27 \| 26.48 \| 11 \| 3 row 13 : 14 \| 14 \| gabor talmacsi \| honda \| 27 \| 26.606 \| 7 \| 2 row 14 : 15 \| 71 \| tomoyoshi koyama \| malaguti \| 27 \| 27.068 \| 15 \| 1 row 15 : 16 \| 54 \| randy krummenacher \| ktm \| 27 \| 27.192 \| 21 \| None row 16 : 18 \| 17 \| stefan bradl \| ktm \| 27 \| 46.201 \| 18 \| None row 17 : 19 \| 95 \| georg frohlich \| honda \| 27 \| 56.274 \| 28 \| None row 18 : 20 \| 35 \| raffaele de rosa \| aprilia \| 27 \| 56.549 \| 25 \| None row 19 : 21 \| 26 \| vincent braillard \| aprilia \| 27 \| 56.782 \| 31 \| None row 20 : 23 \| 15 \| michele pirro \| aprilia \| 27 \| 57.474 \| 22 \| None row 21 : 24 \| 29 \| andrea iannone \| aprilia \| 27 \| 57.707 \| 20 \| None row 22 : 25 \| 7 \| alexis masbou \| malaguti \| 27 \| +1:04.698 \| 37 \| None row 23 : 26 \| 16 \| michele conti \| honda \| 27 \| +1:04.793 \| 32 \| None row 24 : 28 \| 43 \| manuel hernandez \| aprilia \| 27 \| +1:17.323 \| 30 \| None row 25 : 29 \| 23 \| lorenzo baroni \| honda \| 27 \| +1:17.507 \| 26 \| None row 26 : 30 \| 21 \| mateo tunez \| aprilia \| 27 \| +1:20.583 \| 29 \| None row 27 : 32 \| 98 \| toni wirsing \| honda \| 26 \| +1 lap \| 42 \| None row 28 : ret \| 44 \| karel abraham \| aprilia \| 16 \| retirement \| 33 \| None row 29 : ret \| 13 \| dino lombardi \| aprilia \| 13 \| retirement \| 41 \| None row 30 : ret \| 37 \| joey litjens \| honda \| 11 \| retirement \| 38 \| None row 31 : ret \| 22 \| pablo nieto \| aprilia \| 9 \| retirement \| 8 \| None ] Execute this SQL based on the above table: select count ( * ) where rider = 509	0
[ header: year \| div. \| pos. \| cup \| top scorer (league) \| score row 1 : 2003 \| uzl \| 12th \| 1/4 \| None \| None row 2 : 2004 \| uzl \| 7th \| 1/4 \| rahmat inogamov \| 8 row 3 : 2005 \| uzl \| 12th \| 1/2 \| alisher kholiqov \| 6 row 4 : 2006 \| uzl \| 11th \| 1/4 \| alisher kholiqov \| 9 row 5 : 2007 \| uzl \| 9th \| r16 \| None \| None row 6 : 2008 \| uzl \| 15th \| 1/4 \| lochin soliev \| 8 row 7 : 2009 \| uzl \| 15th \| 1/4 \| None \| None row 8 : 2010 \| 1st \| 1st \| r32 \| abdulatif juraev \| 27 row 9 : 2011 \| uzl \| 9th \| r32 \| sukhrob nematov \| 7 row 10 : 2012 \| uzl \| 7th \| 1/2 \| vokhid shodiev \| 5 row 11 : 2013 \| uzl \| 6th \| r16 \| vokhid shodiev \| 12 ] Execute this SQL based on the above table: select top scorer (league) where id = ( select id where score = 7 ) - 1	abdulatif juraev
[ header: administrative area \| area km2 \| area sq mi \| population \| administrative centre row 1 : saint helena \| 122 \| 47 \| 5809 \| jamestown row 2 : ascension island \| 91 \| 35 \| 1532 \| georgetown row 3 : tristan da cunha \| 184 \| 71 \| 388 \| edinburgh of the seven seas row 4 : tristan da cunha \| 98 \| 38 \| 382 \| edinburgh of the seven seas row 5 : inaccessible island \| 14 \| 5 \| 0 \| denstone hut row 6 : nightingale island \| 3.2 \| 1 \| 0 \| west landing row 7 : gough island \| 68 \| 26 \| 6 \| transvaal bay row 8 : total \| 397 \| 153 \| 7729 \| jamestown ] Execute this SQL based on the above table: select count ( distinct population ) where administrative centre = 'transvaal bay'	1
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| united states \| 12 \| 13 \| 6 \| 31 row 2 : 2 \| russia \| 10 \| 5 \| 6 \| 21 row 3 : 3 \| australia \| 8 \| 12 \| 6 \| 26 row 4 : 4 \| china \| 7 \| 4 \| 8 \| 19 row 5 : 5 \| germany \| 5 \| 6 \| 5 \| 16 row 6 : 6 \| japan \| 3 \| 3 \| 3 \| 9 row 7 : 7 \| netherlands \| 3 \| 2 \| 2 \| 7 row 8 : 8 \| great britain \| 2 \| 3 \| 3 \| 8 row 9 : 9 \| ukraine \| 2 \| 3 \| 2 \| 7 row 10 : 10 \| italy \| 2 \| 2 \| 1 \| 5 row 11 : 11 \| canada \| 2 \| 0 \| 1 \| 3 row 12 : 12 \| hungary \| 1 \| 4 \| 1 \| 6 row 13 : 13 \| spain \| 1 \| 2 \| 3 \| 6 row 14 : 14 \| poland \| 1 \| 1 \| 0 \| 2 row 15 : 15 \| france \| 1 \| 0 \| 2 \| 3 row 16 : 16 \| finland \| 1 \| 0 \| 1 \| 2 row 17 : 17 \| belarus \| 1 \| 0 \| 0 \| 1 row 18 : 18 \| czech republic \| 0 \| 2 \| 0 \| 2 row 19 : 19 \| slovakia \| 0 \| 1 \| 1 \| 2 row 20 : 20 \| denmark \| 0 \| 1 \| 0 \| 1 row 21 : 20 \| croatia \| 0 \| 1 \| 0 \| 1 row 22 : 22 \| romania \| 0 \| 0 \| 2 \| 2 row 23 : 23 \| bulgaria \| 0 \| 0 \| 1 \| 1 row 24 : 23 \| mexico \| 0 \| 0 \| 1 \| 1 row 25 : 23 \| serbia and montenegro \| 0 \| 0 \| 1 \| 1 row 26 : 23 \| south africa \| 0 \| 0 \| 1 \| 1 row 27 : 23 \| sweden \| 0 \| 0 \| 1 \| 1 row 28 : 23 \| tunisia \| 0 \| 0 \| 1 \| 1 row 29 : total \| total \| 62 \| 65 \| 59 \| 186 ] Execute this SQL based on the above table: select nation order by nation desc limit 1	united states
[ header: community \| currency \| region \| target date \| notes row 1 : economic and monetary community of central africa (ce \| central african cfa franc \| africa \| None \| not yet functioning common market row 2 : west african economic and monetary union (u \| west african cfa franc \| africa \| None \| not yet functioning common market row 3 : gulf cooperation council (gcc) \| khaleeji \| middle east \| 2013 \| possibly gold backed, but postponed row 4 : east african community (eac) \| east african shilling \| africa \| 2015 \| to be used by the future east african row 5 : caribbean single market and economy (a \| None \| latin america /caribbean \| 2015 \| to supplement the oecs eastern ca row 6 : southern african customs union (sacu \| south african rand \| africa \| 2015 \| de facto for the cma member when the row 7 : southern african development community (sadc \| south african rand (interim proposal) \| africa \| 2016 \| to supplement or succeed the cma and southern africa row 8 : south asian association for regional cooperation \| None \| south asia \| 2016 \| None row 9 : union of south american nations (unasur) \| latino \| latin america /caribbean \| 2019 \| None row 10 : economic community of central african states (ecca \| None \| africa \| None \| to supplement the economic and monetary community of central row 11 : economic community of west african states (eco \| None \| africa \| None \| to succeed uemoa and wa row 12 : african economic community \| None \| africa \| 2028 \| see african monetary union row 13 : union state of russia and belarus \| russian ruble \| europe \| None \| None row 14 : arab league \| arab dinar \| arab states \| None \| arab dinar has been proposed ever since the creation ] Execute this SQL based on the above table: select count ( notes )	11
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 10 \| juan pablo montoya \| mclaren-mercedes \| 60 \| 1:24:29.588 \| 3 \| 10 row 2 : 2 \| 5 \| fernando alonso \| renault \| 60 \| 2.739 \| 1 \| 8 row 3 : 3 \| 9 \| kimi raikkonen \| mclaren-mercedes \| 60 \| 14.436 \| 12 \| 6 row 4 : 4 \| 6 \| giancarlo fisichella \| renault \| 60 \| 17.914 \| 6 \| 5 row 5 : 5 \| 3 \| jenson button \| bar-honda \| 60 \| 40.264 \| 2 \| 4 row 6 : 6 \| 1 \| michael schumacher \| ferrari \| 60 \| +1:15.322 \| 9 \| 3 row 7 : 7 \| 2 \| rubens barrichello \| ferrari \| 60 \| +1:16.567 \| 5 \| 2 row 8 : 8 \| 17 \| ralf schumacher \| toyota \| 60 \| +1:19.212 \| 8 \| 1 row 9 : 9 \| 16 \| jarno trulli \| toyota \| 60 \| +1:20.851 \| 4 \| None row 10 : 10 \| 12 \| felipe massa \| sauber-petronas \| 59 \| +1 lap \| 16 \| None row 11 : 11 \| 7 \| mark webber \| williams-bmw \| 59 \| +1 lap \| 11 \| None row 12 : 12 \| 8 \| nick heidfeld \| williams-bmw \| 59 \| +1 lap \| 14 \| None row 13 : 13 \| 14 \| david coulthard \| red bull-cosworth \| 59 \| +1 lap \| 13 \| None row 14 : 14 \| 11 \| jacques villeneuve \| sauber-petronas \| 59 \| +1 lap \| 10 \| None row 15 : 15 \| 15 \| christian klien \| red bull-cosworth \| 59 \| +1 lap \| 15 \| None row 16 : 16 \| 4 \| takuma sato \| bar-honda \| 58 \| +2 laps \| 7 \| None row 17 : 17 \| 18 \| tiago monteiro \| jordan-toyota \| 58 \| +2 laps \| 20 \| None row 18 : 18 \| 21 \| christijan albers \| minardi-cosworth \| 57 \| +3 laps \| 18 \| None row 19 : 19 \| 20 \| patrick friesacher \| minardi-cosworth \| 56 \| +4 laps \| 19 \| None row 20 : ret \| 19 \| narain karthikeyan \| jordan-toyota \| 10 \| electrical \| 17 \| None ] Execute this SQL based on the above table: select count ( * ) where laps < 317	20
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 5 \| fernando alonso \| renault \| 56 \| 1:31:33.736 \| 1 \| 10 row 2 : 2 \| 16 \| jarno trulli \| toyota \| 56 \| 24.327 \| 2 \| 8 row 3 : 3 \| 8 \| nick heidfeld \| williams-bmw \| 56 \| 32.188 \| 10 \| 6 row 4 : 4 \| 10 \| juan pablo montoya \| mclaren-mercedes \| 56 \| 41.631 \| 11 \| 5 row 5 : 5 \| 17 \| ralf schumacher \| toyota \| 56 \| 51.854 \| 5 \| 4 row 6 : 6 \| 14 \| david coulthard \| red bull-cosworth \| 56 \| +1:12.543 \| 8 \| 3 row 7 : 7 \| 1 \| michael schumacher \| ferrari \| 56 \| +1:19.988 \| 13 \| 2 row 8 : 8 \| 15 \| christian klien \| red bull-cosworth \| 56 \| +1:20.835 \| 7 \| 1 row 9 : 9 \| 9 \| kimi raikkonen \| mclaren-mercedes \| 56 \| +1:21.580 \| 6 \| None row 10 : 10 \| 12 \| felipe massa \| sauber-petronas \| 55 \| +1 lap \| 14 \| None row 11 : 11 \| 19 \| narain karthikeyan \| jordan-toyota \| 54 \| +2 laps \| 17 \| None row 12 : 12 \| 18 \| tiago monteiro \| jordan-toyota \| 53 \| +3 laps \| 18 \| None row 13 : 13 \| 21 \| christijan albers \| minardi-cosworth \| 52 \| +4 laps \| 19 \| None row 14 : ret \| 2 \| rubens barrichello \| ferrari \| 49 \| handling \| 12 \| None row 15 : ret \| 6 \| giancarlo fisichella \| renault \| 36 \| collision \| 3 \| None row 16 : ret \| 7 \| mark webber \| williams-bmw \| 36 \| collision \| 4 \| None row 17 : ret \| 11 \| jacques villeneuve \| sauber-petronas \| 26 \| spun off \| 16 \| None row 18 : ret \| 3 \| jenson button \| bar-honda \| 2 \| engine \| 9 \| None row 19 : ret \| 4 \| anthony davidson \| bar-honda \| 2 \| engine \| 15 \| None row 20 : ret \| 20 \| patrick friesacher \| minardi-cosworth \| 2 \| spun off \| 20 \| None ] Execute this SQL based on the above table: select constructor where driver = 'michael schumacher' and constructor != 'sauber-petronas'	ferrari
[ header: date \| opponent# \| rank# \| site \| result \| attendance row 1 : september 9 \| northern illinois \| #4 \| memorial stadium • lincoln, \| w 48-17 \| 76194 row 2 : september 16 \| utah \| #4 \| memorial stadium • lincoln, \| w 42-30 \| 76333 row 3 : september 23 \| at minnesota \| #3 \| hubert h. humph \| w 48-0 \| 58368 row 4 : september 30 \| oregon state \| #3 \| memorial stadium • lincoln, \| w 35-7 \| 76290 row 5 : october 7 \| kansas state \| #4 \| memorial stadium • lincoln, \| w 58-7 \| 76265 row 6 : october 14 \| at missouri \| #4 \| faurot field • columbia \| w 50-7 \| 55620 row 7 : october 21 \| at oklahoma state \| #4 \| lewis field • stillwater, o \| w 48-23 \| 40000 row 8 : october 28 \| iowa state \| #4 \| memorial stadium • lincoln, \| w 49-17 \| 52877 row 9 : november 4 \| at #2 colorado \| #3 \| folsom field • boulder, colorad \| l 21-27 \| 52877 row 10 : november 11 \| kansas \| #6 \| memorial stadium • lincoln, \| w 51-14 \| 76232 row 11 : november 18 \| oklahoma \| #6 \| memorial stadium • lincoln, \| w 42-25 \| 76404 row 12 : january 1 \| vs. #5 florida state \| #6 \| sun devil stadium • tempe, ari \| l 17-41 \| 73953 ] Execute this SQL based on the above table: select date where rank# = '#6'	november 11, november 18, january 1
[ header: country \| zone \| national federation \| #gm \| #fide \| national championship row 1 : australia \| 3.6 \| australian chess federation \| 2 \| 468 \| australian chess championship row 2 : belarus \| 1.8 \| belarus chess federation \| 13 \| 425 \| belarusian chess championship row 3 : bulgaria \| 1.4 \| българска ф \| 25 \| 606 \| bulgarian chess championship row 4 : costa rica \| 2.3c \| federacion central de ajed \| 1 \| 88 \| costa rican chess championship row 5 : england \| 1.1a \| english chess federation \| 35 \| 1211 \| british chess championship row 6 : fiji \| 3.6 \| fiji chess federation \| 0 \| 9 \| fijian chess championship row 7 : germany \| 1.2a \| deutscher schachbund \| 66 \| 10897 \| german chess championship row 8 : guyana \| None \| guyana chess federation \| None \| None \| guyanese chess championship row 9 : iceland \| 1.3 \| skaksamband islands \| 11 \| 227 \| icelandic chess championship row 10 : luxembourg \| 1.1b \| federation luxembourgeoise des e \| 1 \| 99 \| luxembourgian chess championship row 11 : morocco \| 4.1 \| fed. royale marocaine des e \| 1 \| 68 \| moroccan chess championship row 12 : nepal \| 3.5 \| nepal chess association \| 1 \| 155 \| nepal chess championship row 13 : peru \| 2.4 \| federacion peruana de \| 1 \| 258 \| peruvian chess championship row 14 : singapore \| 3.3 \| singapore chess federation \| 4 \| 132 \| singaporean chess championship row 15 : slovakia \| 1.4 \| slovensky sachovy z \| 9 \| 1152 \| slovak chess championship row 16 : slovenia \| 1.2a \| sahovska zveza \| 5 \| 548 \| slovenian chess championship row 17 : tajikistan \| 3.4 \| federazijai shakhmati \| 1 \| 17 \| tajikistani chess championship row 18 : turkey \| 1.5a \| turkiye satranc \| 2 \| 545 \| turkish chess championship row 19 : united states \| 2.1 \| united states chess federation \| 61 \| 1785 \| u.s. chess championship row 20 : venezuela \| 2.3c \| fed. venezolana de a \| 1 \| 136 \| venezuelan chess championship row 21 : zambia \| 4.3 \| chess federation of zambi \| 1 \| 21 \| zambian chess championship ] Execute this SQL based on the above table: select ( select #fide where country = 'costa rica' ) < ( select #fide where country = 'singapore' )	1
[ header: main author \| no. of patients \| duration of follow-up years \| linearized rate of infection \| actuarial freedom from infective endocarditis row 1 : pavie \| 675 \| 5 \| None \| 98.2% for all patients, 97 row 2 : duncan (a) \| 2720 \| 6 \| None \| 97.3% for all patients, 97 row 3 : ionescu (b) \| 1171 \| 10 \| None \| 93.7% for all patients, 94 row 4 : zhu \| 520 \| 10 \| None \| 98% for all patients row 5 : revuelta \| 239 \| 8 \| 0.67% per patient year \| None row 6 : garcia-bengochea \| 248 \| 8 \| 0.78% per patient year \| None row 7 : holden (c) \| 290 \| 6 \| 1.1% per patient year \| None row 8 : bachet (d) \| 224 \| 6 \| 1.6% per patient year \| None ] Execute this SQL based on the above table: select sum ( no. of patients ) where linearized rate of infection in ( '1.1% per patient year' , '0.67% per patient year' )	529.0
[ header: year \| species \| height \| location grown \| state \| notes row 1 : 2006 \| pacific silver fir \| 65 feet (20 m) \| olympic national forest \| washington \| the tree was lit by dennis hastert row 2 : 2005 \| engelmann spruce \| 65 feet (20 m) \| santa fe national forest \| new mexico \| the tree was lit by dennis hastert row 3 : 2004 \| red spruce \| 65 feet (20 m) \| george washington and jefferson national \| virginia \| the tree was lit by dennis hastert row 4 : 2001 \| white spruce \| 72 feet (22 m) \| ottawa national forest \| michigan \| known as "the tree of hope," the tree row 5 : 1995 \| douglas fir \| 60 feet (18 m) \| plumas national forest \| california \| None row 6 : 1987 \| norway spruce \| 60 feet (18 m) \| wayne national forest \| ohio \| None row 7 : 1983 \| white spruce \| 52 feet (16 m) \| chequamegon national forest \| wisconsin \| None row 8 : 1982 \| balsam fir \| 50 feet (15 m) \| riley bostwich wildlife management \| vermont \| None row 9 : 1980 \| white spruce \| 48 feet (15 m) \| green mountain national forest \| vermont \| None row 10 : 1975 \| balsam fir \| 41 feet (12 m) \| ottawa national forest \| michigan \| None row 11 : 1972 \| balsam fir \| 50 feet (15 m) \| tennessee national forest \| pennsylvania \| None row 12 : 1968 \| white pine \| 30 feet (9.1 m) \| finksburg, maryland \| maryland \| made from two different trees ] Execute this SQL based on the above table: select count ( species ) where location grown = 'tennessee national forest'	1
[ header: week \| date \| opponent \| result \| venue \| attendance row 1 : 1 \| september 3, 1978 \| at detroit lions \| w 13-7 \| pontiac silverdome \| 51187 row 2 : 2 \| september 10, 1978 \| new orleans saints \| w 28-17 \| milwaukee county stadium \| 54336 row 3 : 3 \| september 17, 1978 \| oakland raiders \| l 28-3 \| lambeau field \| 55903 row 4 : 4 \| september 24, 1978 \| at san diego chargers \| w 24-3 \| san diego stadium \| 42755 row 5 : 5 \| october 1, 1978 \| detroit lions \| w 35-14 \| milwaukee county stadium \| 54601 row 6 : 6 \| october 8, 1978 \| chicago bears \| w 24-14 \| lambeau field \| 56267 row 7 : 7 \| october 15, 1978 \| seattle seahawks \| w 45-28 \| milwaukee county stadium \| 52712 row 8 : 8 \| october 22, 1978 \| at minnesota vikings \| l 21-7 \| metropolitan stadium \| 47411 row 9 : 9 \| october 29, 1978 \| tampa bay buccaneers \| w 9-7 \| lambeau field \| 55108 row 10 : 10 \| november 5, 1978 \| at philadelphia eagle \| l 10-3 \| veterans stadium \| 64214 row 11 : 11 \| november 12, 1978 \| dallas cowboys \| l 42-14 \| milwaukee county stadium \| 55256 row 12 : 12 \| november 19, 1978 \| at denver broncos \| l 16-3 \| mile high stadium \| 74965 row 13 : 13 \| november 26, 1978 \| minnesota vikings \| t 10-10 (ot) \| lambeau field \| 51737 row 14 : 14 \| december 3, 1978 \| at tampa bay buccaneers \| w 17-7 \| tampa stadium \| 67754 row 15 : 15 \| december 10, 1978 \| at chicago bears \| l 14-0 \| soldier field \| 34306 row 16 : 16 \| december 17, 1978 \| at los angeles rams \| l 31-14 \| los angeles memorial coliseum \| 42500 ] Execute this SQL based on the above table: select result where id = ( select id where result = 'l 16-3' ) + 1	t 10-10 (ot)
[ header: name \| rank \| age \| years until mandatory retirement \| appointed by \| year appointed row 1 : anabelle rodriguez \| associate justice \| 64 \| 6 years \| sila maria calderon \| 2004 row 2 : edgardo rivera garcia \| associate justice \| 59 \| 11 years \| luis fortuno \| 2010 row 3 : erick kolthoff caraball \| associate justice \| 53 \| 17 years \| luis fortuno \| 2009 row 4 : federico hernandez denton \| chief justice \| 70 \| 0 year \| sila maria calderon \| 2004 row 5 : liana fiol matta \| associate justice \| 68 \| 2 years \| sila maria calderon \| 2004 row 6 : luis estrella martinez \| associate justice \| 43 \| 27 years \| luis fortuno \| 2011 row 7 : mildred pabon charneco \| associate justice \| 57 \| 13 years \| luis fortuno \| 2009 row 8 : rafael martinez \| associate justice \| 55 \| 15 years \| luis fortuno \| 2009 row 9 : roberto feliberti c \| associate justice \| 51 \| 19 years \| luis fortuno \| 2011 ] Execute this SQL based on the above table: select age where name = 'roberto feliberti cintron'	51
[ header: team \| county \| wins \| years won row 1 : greystones \| wicklow \| 1 \| 2011 row 2 : ballymore eustace \| kildare \| 1 \| 2010 row 3 : maynooth \| kildare \| 1 \| 2009 row 4 : ballyroan abbey \| laois \| 1 \| 2008 row 5 : fingal ravens \| dublin \| 1 \| 2007 row 6 : confey \| kildare \| 1 \| 2006 row 7 : crettyard \| laois \| 1 \| 2005 row 8 : wolfe tones \| meath \| 1 \| 2004 row 9 : dundalk gaels \| louth \| 1 \| 2003 ] Execute this SQL based on the above table: select team where team = 'ballyroan abbey'	ballyroan abbey
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| united states \| 5 \| 6 \| 5 \| 16 row 2 : 2 \| jamaica \| 4 \| 1 \| 1 \| 6 row 3 : 3 \| netherlands \| 2 \| 0 \| 0 \| 2 row 4 : 4 \| bahamas \| 1 \| 1 \| 0 \| 2 row 5 : 5 \| ukraine \| 1 \| 0 \| 1 \| 2 row 6 : 6 \| east germany \| 1 \| 0 \| 0 \| 1 row 7 : 6 \| greece \| 1 \| 0 \| 0 \| 1 row 8 : 6 \| soviet union \| 1 \| 0 \| 0 \| 1 row 9 : 9 \| ivory coast \| 0 \| 2 \| 0 \| 2 row 10 : 9 \| united kingdom \| 0 \| 2 \| 0 \| 2 row 11 : 11 \| belgium \| 0 \| 1 \| 1 \| 2 row 12 : 12 \| bulgaria \| 0 \| 1 \| 0 \| 1 row 13 : 12 \| russia \| 0 \| 1 \| 0 \| 1 row 14 : 12 \| germany \| 0 \| 1 \| 0 \| 1 row 15 : 15 \| canada \| 0 \| 0 \| 2 \| 2 row 16 : 15 \| france \| 0 \| 0 \| 2 \| 2 row 17 : 17 \| belarus \| 0 \| 0 \| 1 \| 1 row 18 : 17 \| cuba \| 0 \| 0 \| 1 \| 1 row 19 : 17 \| gabon \| 0 \| 0 \| 1 \| 1 row 20 : 17 \| british virgin islands \| 0 \| 0 \| 1 \| 1 row 21 : total \| total \| 16 \| 16 \| 16 \| 48 ] Execute this SQL based on the above table: select count ( nation ) where total > 2	3
[ header: episode number \| original airdate \| title \| disc \| description row 1 : 48 \| 30 january 1983 \| "the frozen turkey man" \| 1 \| for a joke, compo and cle row 2 : 49 \| 6 february 1983 \| "the white man's grave" \| 1 \| the trio have clegg stand in for wall row 3 : 50 \| 13 february 1983 \| "the waist land" \| 1 \| foggy attempts to earn some ready cash by row 4 : 51 \| 20 february 1983 \| "cheering up ludovic \| 1 \| clegg is roped in to drive row 5 : 52 \| 27 february 1983 \| "the three astaires" \| 1 \| the trio help out at a church concert, row 6 : 53 \| 6 march 1983 \| "the arts of concealment" \| 1 \| foggy lands himself in trouble with a ] Execute this SQL based on the above table: select title order by disc desc limit 1	"the frozen turkey man"
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 30 may 1928 \| olympic stadium (amsterdam \| mexico \| 1-0 \| 7-1 \| 1928 summer olympics row 2 : 2 \| 30 may 1928 \| olympic stadium (amsterdam \| mexico \| 3-0 \| 7-1 \| 1928 summer olympics row 3 : 3 \| 22 june 1930 \| bologna, italy \| italy \| 1-0 \| 3-2 \| friendly row 4 : 4 \| 22 june 1930 \| bologna, italy \| italy \| 3-1 \| 3-2 \| friendly row 5 : 5 \| 13 december 1931 \| dublin, ireland \| ireland \| 3-0 \| 5-0 \| friendly row 6 : 6 \| 13 december 1931 \| dublin, ireland \| ireland \| 5-0 \| 5-0 \| friendly row 7 : 7 \| 24 april 1932 \| oviedo, spain \| yugoslavia \| 1-0 \| 2-1 \| friendly row 8 : 8 \| 21 june 1933 \| madrid, spain \| bulgaria \| 8-0 \| 13-0 \| friendly row 9 : 9 \| 21 june 1933 \| madrid, spain \| bulgaria \| 12-0 \| 13-0 \| friendly row 10 : 10 \| 11 march 1934 \| madrid, spain \| portugal \| 4-0 \| 9-0 \| 1934 world cup qualifier row 11 : 11 \| 11 march 1934 \| madrid, spain \| portugal \| 6-0 \| 9-0 \| 1934 world cup qualifier row 12 : 12 \| 21 june 1934 \| firenze, italy \| italy \| 1-0 \| 1-1 \| 1934 fifa world cup row 13 : 13 \| 24 january 1935 \| madrid, spain \| bulgaria \| 1-0 \| 2-0 \| friendly row 14 : 14 \| 19 january 1936 \| madrid, spain \| austria \| 2-4 \| 4-5 \| friendly row 15 : 15 \| 19 january 1936 \| madrid, spain \| austria \| 4-4 \| 4-5 \| friendly row 16 : 16 \| 23 february 1936 \| barcelona, spain \| germany \| 1-2 \| 1-2 \| friendly ] Execute this SQL based on the above table: select score where venue = 'madrid, spain'	8-0, 12-0, 4-0, 6-0, 1-0, 2-4, 4-4
[ header: pos \| no \| driver \| constructor \| lap \| gap row 1 : 1 \| 98 \| walt faulkner \| kurtis kraft-offenhaus \| 4:27.97 \| None row 2 : 2 \| 28 \| fred agabashian \| kurtis kraft-offenhaus \| 4:31.10 \| + 3.13 row 3 : 3 \| 31 \| mauri rose \| deidt-offenhauser \| 4:32.07 \| + 4.10 row 4 : 4 \| 5 \| george connor \| lesovsky-offenhauser \| 4:32.39 \| + 4.42 row 5 : 5 \| 1 \| johnnie parsons \| kurtis kraft-offenhaus \| 4:32.43 \| + 4.46 row 6 : 6 \| 49 \| jack mcgrath \| kurtis kraft-offenhaus \| 4:33.00 \| + 5.03 row 7 : 7 \| 69 \| duke dinsmore \| kurtis kraft-offenhaus \| 4:34.67 \| + 6.70 row 8 : 8 \| 14 \| tony bettenhausen \| deidt-offenhauser \| 4:34.92 \| + 6.95 row 9 : 9 \| 17 \| joie chitwood \| kurtis kraft-offenhaus \| 4:35.32 \| + 7.35 row 10 : 10 \| 3 \| bill holland \| deidt-offenhauser \| 4:35.90 \| + 7.93 row 11 : 11 \| 59 \| pat flaherty \| kurtis kraft-offenhaus \| 4:37.76 \| + 9.79 row 12 : 12 \| 54 \| cecil green \| kurtis kraft-offenhaus \| 4:30.86 \| + 2.89 row 13 : 13 \| 18 \| duane carter \| stevens-offenhauser \| 4:33.42 \| + 5.45 row 14 : 14 \| 21 \| spider webb \| maserati-offenhauser \| 4:37.46 \| + 9.49 row 15 : 16 \| 2 \| myron fohr \| marchese-offenhauser \| 4:33.32 \| + 5.35 row 16 : 17 \| 24 \| bayliss levrett \| adams-offenhauser \| 4:34.43 \| + 6.46 row 17 : 18 \| 45 \| dick rathmann \| watson-offenhauser \| 4:34.96 \| + 6.99 row 18 : 19 \| 7 \| paul russo \| nichels-offenhauser \| 4:35.25 \| + 7.28 row 19 : 21 \| 12 \| henry banks \| maserati-offenhauser \| 4:37.68 \| + 9.71 row 20 : 22 \| 67 \| bill schindler \| snowberger-offenhauser \| 4:31.31 \| + 3.34 row 21 : 23 \| 8 \| lee wallard \| moore-offenhauser \| 4:31.83 \| + 3.86 row 22 : 24 \| 55 \| troy ruttman \| lesovsky-offenhauser \| 4:32.91 \| + 4.94 row 23 : 26 \| 15 \| mack hellings \| kurtis kraft-offenhaus \| 4:35.32 \| + 7.35 row 24 : 27 \| 22 \| jimmy davies \| ewing-offenhauser \| 4:36.07 \| + 8.10 row 25 : 29 \| 27 \| walt ader \| rae-offenhauser \| 4:37.05 \| + 9.08 row 26 : 30 \| 77 \| jackie holmes \| olson-offenhauser \| 4:37.57 \| + 9.60 row 27 : 32 \| 61 \| jimmy jackson \| kurtis kraft-cummins \| 4:38.62 \| + 10.65 row 28 : 33 \| 62 \| johnny mcdowell \| kurtis kraft-offenhaus \| 4:37.58 \| + 9.61 ] Execute this SQL based on the above table: select constructor order by driver desc limit 1	kurtis kraft-offenhauser
[ header: # \| date \| film \| gross \| notes row 1 : 2 \| january 13, 2002 \| the lord of the rings: the fellowship \| $16,201,260 \| None row 2 : 3 \| january 20, 2002 \| black hawk down \| $28,611,736 \| black hawk down broke save the last dance' row 3 : 5 \| february 3, 2002 \| black hawk down \| $11,112,555 \| None row 4 : 8 \| february 24, 2002 \| queen of the damned \| $14,757,535 \| None row 5 : 11 \| march 17, 2002 \| ice age \| $46,312,454 \| ice age broke liar l row 6 : 13 \| march 31, 2002 \| panic room \| $30,056,751 \| None row 7 : 14 \| april 7, 2002 \| panic room \| $18,244,157 \| None row 8 : 15 \| april 14, 2002 \| changing lanes \| $17,128,062 \| None row 9 : 24 \| june 16, 2002 \| scooby-doo \| $54,155,312 \| None row 10 : 26 \| june 30, 2002 \| mr. deeds \| $37,162,787 \| None row 11 : 28 \| july 14, 2002 \| men in black ii \| $24,410,311 \| None row 12 : 29 \| july 21, 2002 \| road to perdition \| $15,412,515 \| road to perdition reached #1 in its second weekend row 13 : 32 \| august 11, 2002 \| xxx \| $44,506,103 \| None row 14 : 33 \| august 18, 2002 \| xxx \| $22,111,421 \| None row 15 : 35 \| september 1, 2002 \| signs \| $13,441,194 \| None row 16 : 37 \| september 15, 2002 \| barbershop \| $20,627,433 \| None row 17 : 39 \| september 29, 2002 \| sweet home alabama \| $35,648,740 \| sweet home alabama broke rush hour row 18 : 43 \| october 27, 2002 \| jackass: the movie \| $22,763,437 \| None row 19 : 45 \| november 10, 2002 \| 8 mile \| $51,240,555 \| None row 20 : 47 \| november 24, 2002 \| die another day \| $47,072,040 \| None row 21 : 48 \| december 1, 2002 \| harry potter and the chamber of secrets \| $32,117,496 \| harry potter and the chamber of secrets ] Execute this SQL based on the above table: select count ( notes ) where # >= 208	0
[ header: rank \| wrestler \| no. of reigns \| combined days row 1 : 1 \| lou thesz \| 3 \| 3749 row 2 : 2 \| ric flair \| 8 \| 3103 row 3 : 3 \| harley race \| 7 \| 1799 row 4 : 4 \| dory funk, jr \| 1 \| 1563 row 5 : 5 \| dan severn \| 2 \| 1559 row 6 : 6 \| gene kiniski \| 1 \| 1131 row 7 : 7 \| adam pearce \| 5 \| 1078 row 8 : 8 \| jeff jarrett \| 6 \| 1006 row 9 : 9 \| pat o'connor \| 1 \| 903 row 10 : 10 \| jack brisco \| 2 \| 866 row 11 : 11 \| orville brown \| 1 \| 692 row 12 : 12 \| buddy rogers \| 1 \| 573 row 13 : 13 \| blue demon, jr \| 1 \| 505 row 14 : 14 \| naoya ogawa \| 2 \| 469 row 15 : 15 \| terry funk \| 1 \| 424 row 16 : 16 \| dick hutton \| 1 \| 421 row 17 : 17 \| rob conway \| 1 \| 294 row 18 : 18 \| christian cage \| 2 \| 245 row 19 : 19 \| whipper billy watson \| 1 \| 239 row 20 : 20 \| sting \| 2 \| 216 row 21 : 21 \| a.j. styles \| 3 \| 196 row 22 : 22 \| mike rapada \| 2 \| 176 row 23 : 23 \| steve corino \| 1 \| 175 row 24 : 24 \| colt cabana \| 2 \| 152 row 25 : 25 \| barry windham \| 1 \| 147 row 26 : 26 \| masahiro chono \| 1 \| 145 row 27 : 27 \| kahagas \| 1 \| 134 row 28 : 28 \| ron killings \| 2 \| 119 row 29 : 29 \| dusty rhodes \| 3 \| 107 row 30 : 30 \| chris candido \| 1 \| 97 row 31 : 31 \| raven \| 1 \| 88 row 32 : 32 \| satoshi kojima \| 1 \| 159 row 33 : 33 \| shinya hashimoto \| 1 \| 84 row 34 : 34 \| the sheik \| 1 \| 79 row 35 : 35 \| ricky steamboat \| 1 \| 76 row 36 : 36 \| ron garvin \| 1 \| 62 row 37 : 37 \| abyss \| 1 \| 56 row 38 : 39 \| ken shamrock \| 1 \| 49 row 39 : 39 \| brent albright \| 1 \| 49 row 40 : 40 \| the great muta \| 1 \| 48 row 41 : 41 \| sabu \| 1 \| 38 row 42 : 42 \| giant baba \| 3 \| 19 row 43 : 43 \| kerry von erich \| 1 \| 18 row 44 : 44 \| gary steele \| 1 \| 7 row 45 : 45 \| tommy rich \| 1 \| 4 row 46 : 46 \| rhino \| 1 \| 2 row 47 : 47 \| shane douglas \| 1 \| <1 ] Execute this SQL based on the above table: select count ( * ) where wrestler = '18'	0
[ header: outcome \| no. \| date \| tournament \| surface \| partner \| opponents in the final \| score in the final row 1 : runner-up \| 1 \| 1969 \| los angeles, u.s \| hard \| jim mcmanus \| pancho gonzales ron \| 3-6, 4-6 row 2 : runner-up \| 2 \| 1970 \| merion, u.s \| hard \| jim mcmanus \| william bowrey ray ruf \| 6-3, 2-6, 5-7 row 3 : winner \| 1 \| 1971 \| columbus, u.s \| hard \| jim mcmanus \| jimmy connors ros \| 4-6, 7-5, 6-2 row 4 : winner \| 2 \| 1971 \| merion, u.s \| hard \| clark graebner \| robert mckinley \| 7-6, 6-3 row 5 : winner \| 3 \| 1971 \| sacramento, u. \| hard \| jim mcmanus \| bob maud frew m \| 7-6, 6-3 row 6 : winner \| 4 \| 1972 \| los angeles, u.s \| outdoor \| jim mcmanus \| ilie nastase i \| 6-2, 5-7, 6-4 row 7 : winner \| 5 \| 1972 \| london/queen's club \| grass \| jim mcmanus \| jurgen fassbender karl me \| 4-6, 6-3, 7-5 row 8 : runner-up \| 3 \| 1972 \| tanglewood, u.s \| other \| jim mcmanus \| bob hewitt andrew \| 4-6, 4-6 ] Execute this SQL based on the above table: select ( select date order by date desc limit 1 ) - ( select date order by date asc limit 1526 )	3
[ header: year \| party affiliation \| winner \| number of votes \| party affiliation \| loser \| number of votes \| percentage of votes row 1 : 1920 \| republican \| william f. kopp \| 38100 \| democrat \| e.w. mcmanus \| 20977 \| 64% - 36% row 2 : 1930 \| republican \| william f. kopp \| 27053 \| democrat \| max a. conrad \| 15538 \| 63% - 36% row 3 : 1932 \| democrat \| edward c. eich \| 55378 \| republican \| william f. kopp \| 46738 \| 54% - 46% row 4 : 1936 \| democrat \| edward c. eich \| 55721 \| republican \| john n. calhoun \| 53474 \| 51% - 49% row 5 : 1938 \| republican \| thomas e. martin \| 46636 \| democrat \| james p. gaffney \| 33765 \| 58% - 42% row 6 : 1940 \| republican \| thomas e. martin \| 70120 \| democrat \| mrs. zoe \| 46040 \| 60% - 40% row 7 : 1946 \| republican \| thomas e. martin \| 52488 \| democrat \| clair a. williams \| 32849 \| 62% - 38% row 8 : 1948 \| republican \| thomas e. martin \| 70959 \| democrat \| james d. france \| 60860 \| 53% - 46% row 9 : 1950 \| republican \| thomas e. martin \| 70058 \| democrat \| james d. france \| 43140 \| 62% - 38% row 10 : 1954 \| republican \| fred schwengel \| 67128 \| democrat \| john o'connor \| 50577 \| 57% - 43% row 11 : 1960 \| republican \| fred schwengel \| 104737 \| democrat \| walter j. guenther \| 67287 \| 61% - 39% row 12 : 1962 \| republican \| fred schwengel \| 65975 \| democrat \| harold stephens \| 42000 \| 61% - 39% row 13 : 1964 \| democrat \| john r. schmidhauser \| 84042 \| republican \| fred schwengel \| 80697 \| 51% - 49% row 14 : 1966 \| republican \| fred schwengel \| 64795 \| democrat \| john r. schmidhauser \| 60534 \| 51% - 48% row 15 : 1968 \| republican \| fred schwengel \| 91419 \| democrat \| john r. schmidhauser \| 81049 \| 53% - 47% row 16 : 1970 \| republican \| fred schwengel \| 60270 \| democrat \| edward mezvinsky \| 59505 \| 50% - 49% row 17 : 1974 \| democrat \| edward mezvinsky \| 75687 \| republican \| james a. leach \| 63540 \| 54% - 46% row 18 : 1978 \| republican \| james a. leach \| 79940 \| democrat \| richard e. meyers \| 45037 \| 63% - 36% row 19 : 1982 \| republican \| james a. leach \| 89595 \| democrat \| bill gluba \| 61734 \| 59% - 41% row 20 : 1984 \| republican \| james a. leach \| 131182 \| democrat \| kevin ready \| 65293 \| 68% - 33% row 21 : 1986 \| republican \| james a. leach \| 86834 \| democrat \| john r. whitaker \| 43985 \| 66% - 34% ] Execute this SQL based on the above table: select count ( loser )	21
[ header: # \| title \| english translation \| original album \| length row 1 : 1 \| mimpi yang sempurn \| a perfect dream \| kisah 2002 malam \| 4:30 row 2 : 2 \| bintang di surga \| stars in the heaven \| bintang di surga \| None row 3 : 3 \| aku dan bintang \| the stars and me \| taman langit \| 3:39 row 4 : 4 \| jauh mimpiku \| distant dreams of mine \| ost. alexandria \| None row 5 : 5 \| hari yang cerah un \| a bright day for a lonely soul \| hari yang cerah \| 3:59 row 6 : 6 \| menunggu pagi \| waiting for dawn \| ost. alexandria \| None row 7 : 7 \| khayalan tingkat ting \| high-level imagination \| bintang di surga \| None row 8 : 8 \| sahabat \| best friend \| taman langit \| 4:33 row 9 : 9 \| sally sendiri \| sally alone \| hari yang cerah \| 4:17 row 10 : 10 \| langit tak mendengar \| the sky didn't listen \| ost. alexandria \| None row 11 : 11 \| di belakangku \| behind me \| bintang di surga \| None row 12 : 12 \| kita tertawa \| we laugh \| taman langit \| 3:29 row 13 : 13 \| membebaniku \| burdening me \| ost. alexandria \| 4:25 row 14 : 14 \| cobalah mengerti \| try to understand \| hari yang cerah \| 3:30 row 15 : 15 \| topeng \| mask \| taman langit \| 4:25 ] Execute this SQL based on the above table: select english translation where # >= 10	the sky didn't listen, behind me, we laugh, burdening me, try to understand, mask
[ header: place \| code \| area (km2) \| population \| most spoken language row 1 : beatrix mine \| 40701 \| 0.17 \| 2492 \| sotho row 2 : boipatong \| 40702 \| 0.31 \| 1501 \| sotho row 3 : brandfort \| 40703 \| 3.2 \| 1516 \| afrikaans row 4 : fora \| 40704 \| 0.05 \| 530 \| sotho row 5 : ikgomotseng \| 40705 \| 1.07 \| 2254 \| tswana row 6 : joel mine \| 40706 \| 0.11 \| 728 \| sotho row 7 : lusaka \| 40707 \| 1.4 \| 6110 \| sotho row 8 : majwemasweu \| 40708 \| 2.5 \| 10328 \| sotho row 9 : makeleketla \| 40709 \| 1.35 \| 6629 \| sotho row 10 : masilo \| 40710 \| 3.02 \| 14903 \| sotho row 11 : star diamond mine \| 40712 \| 0.11 \| 212 \| sotho row 12 : theunissen \| 40713 \| 15.11 \| 1667 \| afrikaans row 13 : tshepong \| 40714 \| 0.54 \| 1710 \| sotho row 14 : verkeerdevlei \| 40715 \| 1.22 \| 151 \| afrikaans row 15 : winburg \| 40716 \| 70.22 \| 3371 \| sotho row 16 : remainder of the municipality \| 40711 \| 6696.44 \| 10304 \| sotho ] Execute this SQL based on the above table: select place order by code limit 1	beatrix mine
[ header: area served \| city of license \| vc \| rf \| callsign \| network \| notes row 1 : cape girardeau \| ~harrisburg il \| 3 \| 34 \| wsil-tv \| abc \| None row 2 : cape girardeau \| ~paducah ky \| 6 \| 32 \| wpsd-tv \| nbc \| None row 3 : cape girardeau \| cape girardeau \| 23 \| 22 \| kbsi \| fox \| None row 4 : cape girardeau \| ~marion il \| 27 \| 17 \| wtct \| ind \| None row 5 : cape girardeau \| ~paducah ky \| 49 \| 49 \| wdka \| mnt \| None row 6 : columbia/jefferson city \| sedalia \| 6 \| 15 \| kmos-tv \| pbs \| None row 7 : columbia/jefferson city \| columbia \| 17 \| 17 \| kmiz \| abc \| None row 8 : hannibal \| ~quincy il \| 10 \| 10 \| wgem-tv \| nbc \| None row 9 : hannibal \| ~quincy il \| 16 \| 32 \| wtjr \| ind \| None row 10 : joplin \| ~pittsburg ks \| 7 \| 7 \| koam-tv \| cbs \| None row 11 : joplin \| joplin \| 12 \| 43 \| kode-tv \| abc \| None row 12 : joplin \| ~pittsburg ks \| 14 \| 13 \| kfjx \| fox \| None row 13 : joplin \| joplin \| 26 \| 25 \| kozj \| pbs \| satellite of kozk ch. row 14 : kansas city \| kansas city \| 4 \| 34 \| wdaf-tv \| fox \| None row 15 : kansas city \| kansas city \| 5 \| 24 \| kctv \| cbs \| None row 16 : kansas city \| kansas city \| 9 \| 29 \| kmbc-tv \| abc \| None row 17 : kansas city \| kansas city \| 19 \| 18 \| kcpt \| pbs \| None row 18 : kansas city \| kansas city \| 29 \| 31 \| kcwe \| cw \| None row 19 : kansas city \| kansas city \| 41 \| 42 \| kshb-tv \| nbc \| None row 20 : kirksville \| kirksville \| 3 \| 33 \| ktvo \| abc \| None row 21 : kirksville \| ~ottumwa i \| 15 \| 15 \| kyou-tv \| fox \| None row 22 : st. louis \| st. louis \| 24 \| 14 \| knlc \| ind \| None row 23 : st. louis \| ~east st. louis \| 46 \| 47 \| wrbu \| mnt \| None row 24 : springfield \| springfield \| 3 \| 44 \| kytv \| nbc \| None row 25 : springfield \| springfield \| 27 \| 28 \| kozl-tv \| ind \| None row 26 : springfield \| ~harrison ar \| 31 \| 31 \| kwbm \| ind \| None row 27 : springfield \| springfield \| 33 \| 19 \| kspr \| abc \| k15cz (cw) on row 28 : springfield \| osage beach \| 49 \| 49 \| krbk \| fox \| None row 29 : springfield \| springfield \| 8 \| 8 \| krft-ld \| mundofox \| tnn on 8.2, my family ] Execute this SQL based on the above table: select rf where network = 'fox'	22, 13, 34, 15, 49
[ header: year \| single \| chart \| position row 1 : 1975 \| "sun goddess" \| black singles \| 20 row 2 : 1975 \| "sun goddess" \| disco singles \| 5 row 3 : 1975 \| "sun goddess" \| pop singles \| 44 row 4 : 1976 \| "can't hide love" \| black singles \| 11 row 5 : 1976 \| "can't hide love" \| pop singles \| 39 row 6 : 1976 \| "sing a song/gratitude" \| club play singles \| 1 row 7 : 1976 \| "sing a song" \| black singles \| 1 row 8 : 1976 \| "sing a song" \| pop singles \| 5 ] Execute this SQL based on the above table: select min ( year )	1975
[ header: call sign \| frequency \| city of license \| licensee \| format row 1 : kacl \| 98.7 fm \| bismarck \| townsquare media bismarck license, ll \| classic hits row 2 : kauj \| 100.9 fm \| grafton \| simmons broadcasting \| oldies row 3 : kbep-lp \| 93.7 fm \| bismarck \| bismarck educational prayer association \| None row 4 : kbmk \| 88.3 fm \| bismarck \| educational media foundation \| contemporary christian row 5 : kdkt \| 1410 am \| beulah \| digital syndicate network \| all sports row 6 : kdlr \| 1240 am \| devils lake \| double z broadcasting \| classic country row 7 : kdsr \| 101.1 fm \| williston \| williston community broadcasting corp. d \| adult hits row 8 : kegk \| 106.9 fm \| wahpeton \| smahh communications ii \| classic hits row 9 : keya \| 88.5 fm \| belcourt \| keya, inc \| country row 10 : keyz \| 660 am \| williston \| ccr-williston i \| news talk information row 11 : kfaa \| 89.5 fm \| horace \| selah corporation \| contemporary christian row 12 : kfgo \| 790 am \| fargo \| midwest communications, inc \| news talk information row 13 : kfnw \| 1200 am \| west fargo \| northwestern college \| religious row 14 : kjkr \| 88.1 fm \| jamestown \| jamestown college \| None row 15 : kkxl-fm \| 92.9 fm \| grand forks \| citicasters licenses, inc \| pop contemporary hit radio row 16 : kltc \| 1460 am \| dickinson \| cc licenses, llc \| classic country row 17 : kltq \| 97.9 fm \| beulah \| synergy broadcast north dakota, \| None row 18 : kmav-fm \| 105.5 fm \| mayville \| kmsr, inc \| country row 19 : kmsr \| 1520 am \| mayville \| kmsr, inc \| all sports row 20 : kmxa-fm \| 99.9 fm \| minot \| cc licenses, llc \| adult contemporary row 21 : kndc \| 1490 am \| hettinger \| schweitzer media \| country row 22 : kndk \| 1080 am \| langdon \| kndk, inc \| news talk information row 23 : knds-lp \| 96.3 fm \| fargo \| alliance for the arts and humanities \| None row 24 : knox \| 1310 am \| grand forks \| leighton enterprises, inc \| news talk information row 25 : koww-lp \| 98.1 fm \| burlington \| pointe of view institute \| None row 26 : kpfx \| 107.9 fm \| fargo \| l&l licensee, llc \| classic rock row 27 : kppr \| 89.5 fm \| williston \| prairie public broadcasting, inc \| variety row 28 : kqdj-fm \| 101.1 fm \| valley city \| sioux valley broadcasting \| pop contemporary hit radio row 29 : krrz \| 1390 am \| minot \| aloha station trust, llc \| oldies row 30 : krwk \| 101.9 fm \| fargo \| midwest communications, inc \| mainstream rock row 31 : ksjb \| 600 am \| jamestown \| chesterman communications of jamestown, \| classic country ] Execute this SQL based on the above table: select licensee order by frequency desc limit 1	kmsr, inc
[ header: year built \| works number \| wheel arr. \| gauge \| original owner \| name \| current location \| notes row 1 : 1882 \| 283 \| 0-4-0st \| 1 ft 10 3⁄4 in (5 \| penrhyn quarry \| charles \| penrhyn castle railway museum \| None row 2 : 1883 \| 316 \| 0-4-0st \| 2 ft \| penrhyn quarry \| gwynedd \| bressingham steam museum \| penrhyn port class row 3 : 1883 \| 317 \| 0-4-0st \| 1 ft 11 1⁄2 in (5 \| penrhyn quarry \| lilian \| launceston steam railway \| penrhyn port class row 4 : 1889 \| 493 \| 0-4-0st \| 1 ft 11 3⁄4 in (6 \| dinorwic quarry \| elidir \| llanberis lake railway \| previously named "red damsel" row 5 : 1890 \| 518 \| 2-2-0t \| (1000mm) \| s.v.t. 8 \| tortosa-la cava1 \| tortosa (catalonia, spa \| None row 6 : 1891 \| 554 \| 0-4-0st \| 1 ft 11 1⁄2 in (5 \| cilgwyn quarry, then penr \| lilla \| ffestiniog railway \| None row 7 : 1894 \| 606 \| 0-4-0st \| 2 ft \| penrhyn quarry \| alan george \| teifi valley railway \| None row 8 : 1896 \| 652 \| 0-4-0st \| 1 ft 11 1⁄2 in (5 \| groby granite, then dinorwic \| lady madcap \| welsh highland heritage railway \| originally named sextus row 9 : 1898 \| 680 \| 0-4-0st \| 2 ft (610 mm) \| dinorwic quarry \| george b \| bala lake railway \| None row 10 : 1898 \| 684 \| 0-4-0wt \| 18 in (457 mm) \| john knowles co \| jack \| armley mills industrial museum, leed \| None row 11 : 1899 \| 705 \| 0-4-0st \| 2 ft (610 mm) \| penrhyn quarry \| elin \| yaxham light railway \| previously at the lincolnshire coast row 12 : 1901 \| 763 \| 0-4-0st \| 1 ft 11 1⁄2 in (5 \| dorothea quarry \| dorothea \| launceston steam railway \| None row 13 : 1903 \| 823 \| 0-4-0st \| 2 ft \| dinorwic quarry \| irish mail \| west lancashire light railway \| None row 14 : 1909 \| 994 \| 0-4-0st \| 2 ft \| penrhyn quarry \| bill harvey \| bressingham steam museum \| previously george sholto row 15 : 1918 \| 1312 \| 4-6-0t \| 1 ft 11 1⁄2 in (5 \| british war department efo \| None \| pampas safari, gravatai \| [citation needed] row 16 : 1920 \| 1404 \| 0-4-0wt \| 18 in (457 mm) \| john knowles co \| gwen \| richard farmer current owner, northridge, \| None row 17 : 1922 \| 1429 \| 0-4-0st \| 2 ft (610 mm) \| dinorwic \| lady joan \| bredgar and wormshill light \| None row 18 : 1922 \| 1430 \| 0-4-0st \| 1 ft 11 3⁄4 in (6 \| dinorwic quarry \| dolbadarn \| llanberis lake railway \| None ] Execute this SQL based on the above table: select gauge order by works number desc limit 1	1 ft 11 3⁄4 in (603 mm)
[ header: school \| team name \| town \| county \| enrollment (2010-11 & 2011-12) \| primary mshsaa class* \| football class row 1 : benton high school \| (lady) cardinals \| st. joseph \| buchanan \| 846 \| 4 \| 4 row 2 : bishop leblond high school \| (lady) golden eagle \| st. joseph \| buchanan \| 314 \| 3 \| 2 row 3 : cameron high school \| (lady) dragons \| cameron \| clinton \| 503 \| 3 \| 3 row 4 : chillicothe high school (missouri) \| (lady) hornets \| chillicothe \| livingston \| 638 \| 4 \| 3 row 5 : lafayette high school \| fighting irish \| st. joseph \| buchanan \| 801 \| 4 \| 4 row 6 : maryville high school \| (lady) spoofhounds \| maryville \| nodaway \| 473 \| 3 \| 2 row 7 : savannah high school \| (lady) savages \| savannah \| andrew \| 743 \| 4 \| 4 row 8 : smithville high school \| (lady) warriors \| smithville \| clay \| 727 \| 4 \| 4 ] Execute this SQL based on the above table: select team name where enrollment (2010-11 & 2011-12) < ( select min ( enrollment (2010-11 & 2011-12) ) where team name = 'fighting irish' ) order by enrollment (2010-11 & 2011-12) desc limit 1	(lady) savages
[ header: # \| date \| opponent \| score \| win \| loss \| save \| attendance \| record \| other info row 1 : 104 \| august 2 \| phillies \| 3 - 2 10 \| smith (3-6) \| calhoun (0-1) \| None \| 33629 \| 54-50 \| None row 2 : 105 \| august 3 \| @ pirates \| 6 - 4 \| drabek (3-10) \| maddux (6-10) \| gott (1) \| 7281 \| 54-51 \| None row 3 : 106 \| august 4 \| @ pirates \| 3 - 2 11 \| mason (3-1) \| gideon (1-2) \| None \| 8744 \| 55-51 \| None row 4 : 107 \| august 5 \| @ pirates \| 10 - 0 \| fisher (7-6) \| moyer (9-8) \| None \| 7726 \| 55-52 \| None row 5 : 110 \| august 8 \| @ mets \| 5 - 3 \| mason (4-1) \| schulze (1-2) \| smith (27) \| 47893 \| 56-54 \| None row 6 : 111 \| august 9 \| @ mets \| 6 - 3 \| sanderson (5-6) \| gooden (9-4) \| smith (28) \| 49031 \| 57-54 \| None row 7 : 112 \| august 10 \| @ phillies \| 4 - 2 \| frohwirth (1-0) \| moyer (9-9) \| bedrosian (31) \| 26796 \| 57-55 \| None row 8 : 113 \| august 11 \| @ phillies \| 9 - 8 13 \| k. gross (7-10) \| tewksbury (0-4) \| None \| 30459 \| 57-56 \| None row 9 : 114 \| august 12 \| @ phillies \| 13 - 7 \| calhoun (1-1) \| lynch (1-7) \| None \| 36190 \| 57-57 \| None row 10 : 116 \| august 14 \| mets \| 6 - 1 \| sanderson (6-6) \| mitchell (3-5) \| None \| 17811 \| 59-57 \| None row 11 : 117 \| august 15 \| mets \| 7 - 3 \| moyer (10-9) \| leach (10-1) \| dipino (2) \| 32425 \| 60-57 \| None row 12 : 118 \| august 16 \| mets \| 23 - 10 \| darling (10-7) \| maddux (6-11) \| None \| 32731 \| 60-58 \| billy williams day ruined by row 13 : 119 \| august 18 \| @ braves \| 9 - 5 \| mahler (7-12) \| lynch (1-8) \| acker (8) \| 17469 \| 60-59 \| None row 14 : 120 \| august 19 \| @ braves \| 9 - 1 \| sanderson (7-6) \| puleo (5-6) \| None \| 10523 \| 61-59 \| None row 15 : 121 \| august 20 \| @ braves \| 13 - 4 \| acker (1-5) \| moyer (10-10) \| None \| 11647 \| 61-60 \| None row 16 : 123 \| august 22 \| astros \| 5 - 4 11 \| andersen (8-4) \| dipino (3-3) \| smith (21) \| 32552 \| 62-61 \| None row 17 : 124 \| august 23 \| astros \| 4 - 2 \| heathcock (3-1) \| sutcliffe (15-6) \| smith (22) \| 33934 \| 62-62 \| None row 18 : 126 \| august 27 \| braves \| 8 - 6 8 \| lancaster (4-1) \| mahler (7-13) \| dipino (3) \| 19006 \| 63-63 \| None row 19 : 127 \| august 28 \| @ reds \| 6 - 5 10 \| smith (4-7) \| franco (7-5) \| None \| 28223 \| 64-63 \| None row 20 : 128 \| august 29 \| @ reds \| 4 - 1 \| browning (6-11) \| sanderson (7-7) \| None \| 37783 \| 64-64 \| None ] Execute this SQL based on the above table: select score where id = ( select id where score = '6 - 5 10' ) - 1	8 - 6 8
[ header: institution \| city \| state \| team name \| affiliation \| enrollment \| home conference row 1 : augustana college (illinois) \| rock island \| illinois \| vikings \| private/lutheran \| 2500 \| cciw row 2 : aurora university \| aurora \| illinois \| spartans \| private/non-sectarian \| 1685 \| northern row 3 : beloit college \| beloit \| wisconsin \| buccaneers \| private/non-sectarian \| 1300 \| midwest row 4 : benedictine university \| lisle \| illinois \| eagles \| private/catholic \| 3282 \| northern row 5 : carthage college \| kenosha \| wisconsin \| red men \| private/lutheran \| 2188 \| cciw row 6 : concordia university wisconsin \| mequon \| wisconsin \| falcons \| private/lutheran \| 1608 \| northern row 7 : university of dubuque \| dubuque \| iowa \| spartans \| private/presbyterian \| 1559 \| iiac row 8 : elmhurst college \| elmhurst \| illinois \| bluejays \| private/united church of christ \| 3400 \| cciw row 9 : fontbonne university \| st. louis \| missouri \| griffins \| private/catholic \| 2924 \| sliac row 10 : college of mount st. josep \| cincinnati \| ohio \| lions \| private/catholic \| 1334 \| hcac row 11 : north central college \| naperville \| illinois \| cardinals \| private/methodist \| 2900 \| cciw ] Execute this SQL based on the above table: select institution order by team name desc limit 1	augustana college (illinois)
[ 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 listed owner(s) where # = ( select # where listed owner(s) = 'james finch' ) - 1	billy jones
[ header: province \| capital \| area (km2) \| population \| density row 1 : azua \| azua \| 2531.77 \| 298246 \| 118 row 2 : bahoruco \| neiba \| 1282.23 \| 111269 \| 87 row 3 : barahona \| barahona \| 1739.38 \| 232818 \| 134 row 4 : dajabon \| dajabon \| 1020.73 \| 87274 \| 86 row 5 : distrito nacional \| santo domingo \| 104.44 \| 1402749 \| 13431 row 6 : duarte \| san francisco de macoris \| 1605.35 \| 338649 \| 211 row 7 : el seibo \| el seibo \| 1786.8 \| 110212 \| 62 row 8 : elias pina \| comendador \| 1426.2 \| 84632 \| 59 row 9 : espaillat \| moca \| 838.62 \| 333401 \| 398 row 10 : hato mayor \| hato mayor \| 1329.29 \| 103032 \| 78 row 11 : hermanas mirabal \| salcedo \| 440.43 \| 121887 \| 277 row 12 : independencia \| jimani \| 2006.44 \| 74583 \| 37 row 13 : la altagracia \| higuey \| 3010.34 \| 372289 \| 124 row 14 : la romana \| la romana \| 653.95 \| 344580 \| 527 row 15 : la vega \| concepcion de la vega \| 2287.24 \| 447905 \| 196 row 16 : maria trinidad sanchez \| nagua \| 1271.71 \| 195886 \| 154 row 17 : monsenor nouel \| bonao \| 992.39 \| 203183 \| 205 row 18 : monte cristi \| monte cristi \| 1924.35 \| 150833 \| 78 row 19 : monte plata \| monte plata \| 2632.14 \| 222641 \| 85 row 20 : pedernales \| pedernales \| 2074.53 \| 52165 \| 25 row 21 : peravia \| bani \| 792.33 \| 217241 \| 274 row 22 : puerto plata \| puerto plata \| 1852.9 \| 498232 \| 269 row 23 : samana \| samana \| 853.74 \| 139707 \| 164 row 24 : san cristobal \| san cristobal \| 1265.77 \| 640066 \| 506 row 25 : san jose de ocoa \| san jose de ocoa \| 855.4 \| 97640 \| 114 row 26 : san juan \| san juan de la magu \| 3569.39 \| 317293 \| 89 row 27 : san pedro de macori \| san pedro de macori \| 1255.46 \| 392911 \| 313 row 28 : sanchez ramirez \| cotui \| 1196.13 \| 248807 \| 208 row 29 : santiago \| santiago de los caballe \| 2836.51 \| 1543362 \| 544 row 30 : santiago rodriguez \| sabaneta \| 1111.14 \| 99044 \| 89 row 31 : santo domingo \| santo domingo este \| 1296.35 \| 3263053 \| 2517 row 32 : valverde \| mao \| 823.38 \| 217026 \| 264 row 33 : total \| None \| 48666.83 \| 12935223 \| 266 ] Execute this SQL based on the above table: select ( select density where province = 'puerto plata' ) - ( select density where province = 'independencia' )	232.0
[ header: rank \| name \| nation \| time \| speed \| note row 1 : 1 \| vilija sereikaite \| lithuania \| 3:33.766 \| 50.522 \| q row 2 : 2 \| ellen van dijk \| netherlands \| 3:35.951 \| 50.011 \| q row 3 : 3 \| joanna rowsell \| united kingdom \| 3:37.641 \| 49.623 \| q row 4 : 4 \| svitlana halyuk \| ukraine \| 3:42.498 \| 48.539 \| q row 5 : 5 \| aksana papko \| belarus \| 3:43.935 \| 48.288 \| None row 6 : 6 \| oxana kozonchuk \| russia \| 3:45.132 \| 47.971 \| None row 7 : 7 \| jarmila machacova \| czech republic \| 3:47.209 \| 47.533 \| None row 8 : 8 \| stephanie pohl \| germany \| 3:47.483 \| 47.476 \| None row 9 : 9 \| lisa brennauer \| germany \| 3:48.017 \| 47.364 \| None row 10 : 10 \| edyta jasinska \| poland \| 3:48.628 \| 47.238 \| None row 11 : 11 \| audrey cordon \| france \| 3:49.376 \| 47.084 \| None row 12 : 12 \| alena amialyusik \| belarus \| 3:49.711 \| 47.015 \| None row 13 : 13 \| hannah mayho \| united kingdom \| 3:50.176 \| 46.92 \| None row 14 : 14 \| viktoriya kondel \| russia \| 3:51.349 \| 46.682 \| None row 15 : 15 \| oksana lyesnik \| ukraine \| 3:51.543 \| 46.643 \| None row 16 : 16 \| elise van hage \| netherlands \| 3:55.349 \| 45.889 \| None row 17 : 17 \| dominika maczka \| poland \| 4:01.597 \| 44.702 \| None ] Execute this SQL based on the above table: select name where nation = 'poland'	edyta jasinska, dominika maczka
[ header: rank \| bib \| country \| distance (m) \| points \| time difference row 1 : 1 \| 14 \| germany tino edelmann \| 124.5 127.0 \| 264.3 128.0 136.3 \| 0:00 row 2 : 2 \| 10 \| japan akito watabe t \| 123.5 126.0 \| 258.4 126.4 132.0 \| +0:12 row 3 : 3 \| 12 \| austria bernhard gruber w \| 123.0 122.0 \| 251.8 123.3 128.5 \| +0:25 row 4 : 4 \| 11 \| france jason lamy-chappuis \| 120.5 118.5 \| 242.7 121.8 120.9 \| +0:43 row 5 : 5 \| 13 \| norway mikko kokslien \| 118.0 118.5 \| 238.1 116.8 121.3 \| +0:52 row 6 : 6 \| 8 \| czech republic miroslav d \| 114.5 120.0 \| 232.8 110.7 122.1 \| +1:03 row 7 : 7 \| 7 \| slovenia mitja oranic mar \| 109.5 123.5 \| 227.8 99.5 128.3 \| +1:13 row 8 : 8 \| 6 \| finland ilkka herola \| 120.5 113.5 \| 226.6 115.4 111.2 \| +1:15 row 9 : 9 \| 4 \| estonia han-hendrik pih \| 113.0 113.0 \| 217.5 107.4 110.1 \| +1:34 row 10 : 10 \| 9 \| united states bill demong taylor \| 111.0 112.5 \| 214.1 104.9 109.2 \| +1:40 row 11 : 11 \| 1 \| ukraine viktor pasichny \| 107.0 115.0 \| 206.2 95.7 110.5 \| +1:56 row 12 : 12 \| 2 \| russia ernest yahin \| 110.0 109.5 \| 204.8 101.8 103.0 \| +1:59 row 13 : 13 \| 5 \| italy armin bauer aless \| 105.0 113.5 \| 203.0 92.7 110.3 \| +2:03 row 14 : 14 \| 3 \| switzerland seppi hur \| 102.5 113.0 \| 196.2 88.1 108.1 \| +2:16 ] Execute this SQL based on the above table: select count ( country ) where country = 1	0
[ header: year \| vote % \| place \| seats \| place \| cabinet row 1 : 1945 \| None \| None \| 25 \| 1st \| yes row 2 : 1948 \| None \| None \| 22 \| 1st \| yes row 3 : 1951 \| None \| None \| 21 \| 1st \| yes row 4 : 1954 \| 42.4 \| 1st \| 26 \| 1st \| yes row 5 : 1959 \| 36.9 \| 1st \| 21 \| 1st \| yes row 6 : 1964 \| 33.3 \| 2nd \| 22 \| 1st \| yes row 7 : 1968 \| 35.2 \| 1st \| 21 \| 1st \| yes row 8 : 1974 \| 27.6 \| 2nd \| 18 \| 1st \| no row 9 : 1979 \| 34.5 \| 1st \| 24 \| 1st \| yes row 10 : 1984 \| 34.9 \| 1st \| 25 \| 1st \| yes row 11 : 1989 \| 32.4 \| 1st \| 22 \| 1st \| yes row 12 : 1994 \| 30.3 \| 1st \| 21 \| 1st \| yes row 13 : 1999 \| 30.1 \| 1st \| 19 \| 1st \| yes row 14 : 2004 \| 36.1 \| 1st \| 24 \| 1st \| yes row 15 : 2009 \| 38 \| 1st \| 26 \| 1st \| yes row 16 : 2013 \| 33.6 \| 1st \| 23 \| 1st \| no ] Execute this SQL based on the above table: select place order by year limit 1	1st
[ header: year \| single \| charts fr \| charts bel wa \| charts swi \| certification \| album row 1 : 1997 \| "sur la route" \| 14 \| None \| None \| \| la derniere annee row 2 : 2000 \| "j'en reve encore" \| 7 \| 4 \| None \| \| marcher dans le sable row 3 : 2001 \| "une seule vie (marcher dans le \| 30 \| None \| None \| \| marcher dans le sable row 4 : 2001 \| "tomber" \| 35 \| None \| None \| \| marcher dans le sable row 5 : 2004 \| "elle s'ennuie" \| 35 \| None \| 73 \| \| None row 6 : 2004 \| "elle danse seule" \| 22 \| None \| 46 \| \| un homme sans racines row 7 : 2011 \| "l'etranger" \| 59 \| None \| None \| \| sur ma route row 8 : 2013 \| "je me souviens de tout" \| 130 \| None \| None \| \| da palmas ] Execute this SQL based on the above table: select count ( * ) where single = '"je me souviens de tout"'	1
[ header: rank \| athlete \| country \| time \| notes row 1 : None \| yevgeny kulikov \| soviet union \| 39.17 \| or row 2 : None \| valery muratov \| soviet union \| 39.25 \| None row 3 : None \| dan immerfall \| united states \| 39.54 \| None row 4 : 4 \| mats wallberg \| sweden \| 39.56 \| None row 5 : 5 \| peter mueller \| united states \| 39.57 \| None row 6 : 6 \| jan bazen \| netherlands \| 39.78 \| None row 7 : 6 \| arnulf sunde \| norway \| 39.78 \| None row 8 : 8 \| andrey malikov \| soviet union \| 39.85 \| None row 9 : 9 \| oloph granath \| sweden \| 39.93 \| None row 10 : 10 \| jim chapin \| united states \| 40.09 \| None row 11 : 11 \| tom overend \| canada \| 40.22 \| None row 12 : 11 \| masaki suzuki \| japan \| 40.22 \| None row 13 : 13 \| johan granath \| sweden \| 40.25 \| None row 14 : 14 \| gaetan boucher \| canada \| 40.53 \| None row 15 : 15 \| pertti niittyla \| finland \| 40.65 \| None row 16 : 16 \| norio hirate \| japan \| 40.85 \| None row 17 : 16 \| archie marshall \| great britain \| 40.85 \| None row 18 : 18 \| mikio oyama \| japan \| 40.9 \| None row 19 : 19 \| hans van helden \| netherlands \| 40.91 \| None row 20 : 19 \| emmanuel michon \| france \| 40.91 \| None row 21 : 21 \| kay arne stenshj \| norway \| 40.94 \| None row 22 : 22 \| lee yeong-ha \| south korea \| 41.08 \| None row 23 : 23 \| bruno toniolli \| italy \| 41.44 \| None row 24 : 24 \| harald oehme \| east germany \| 41.54 \| None row 25 : 25 \| colin coates \| australia \| 41.77 \| None row 26 : 26 \| berend schabus \| austria \| 42.33 \| None row 27 : 27 \| heinz steinberger \| austria \| 43.28 \| None row 28 : 28 \| jan egil storholt \| norway \| 18 \| None row 29 : None \| horst freese \| west germany \| dnf \| None ] Execute this SQL based on the above table: select athlete order by id desc limit 1	horst freese
[ header: name \| hanzi \| population (2005) \| area (km2) row 1 : qingxi \| 清溪镇 \| 20000 \| 2.9 row 2 : ruyi \| 如意镇 \| 15100 \| 33.85 row 3 : yintian \| 银田镇 \| 19500 \| 28 row 4 : daping \| 大坪乡 \| 14300 \| 32 row 5 : yongyi \| 永义乡 \| 10600 \| 24 row 6 : shaoshan \| 韶山乡 \| 14700 \| 37.62 row 7 : yanglin \| 杨林乡 \| 20600 \| 58.8 ] Execute this SQL based on the above table: select population (2005) order by name desc limit 1	10600
[ header: # \| title \| directed by \| written by \| original air date \| production code row 1 : 1 \| "pilot" \| michael dinner \| peter elkoff \| june 14, 2004 \| 1aje01 row 2 : 2 \| "tessa" \| patrick norris \| liz heldens \| june 21, 2004 \| 1aje02 row 3 : 3 \| "surprise party" \| james marshall \| kevin falls & matt m \| june 28, 2004 \| 1aje03 row 4 : 4 \| "meteor shower" \| craig zisk \| kevin falls & matt m \| july 5, 2004 \| 1aje04 row 5 : 5 \| "my boyfriend's back" \| david straiton \| dana baratta \| july 12, 2004 \| 1aje05 row 6 : 6 \| "secret service" \| david grossman \| jeff rake \| july 19, 2004 \| 1aje06 row 7 : 7 \| "more" \| michael fresco \| liz heldens \| august 2, 2004 \| 1aje07 row 8 : 8 \| "burned" \| kevin hooks \| karyn usher \| august 9, 2004 \| 1aje08 row 9 : 9 \| "ties that bind" \| patrick norris \| gretchen j. berg \| september 6, 2004 \| 1aje09 row 10 : 10 \| "vice" \| kenneth biller \| kenneth biller \| september 13, 2004 \| 1aje10 row 11 : 11 \| "alexandra" \| steve miner \| chris brancato \| september 20, 2004 \| 1aje11 row 12 : 12 \| "bellport" \| patrick norris \| peter elkoff \| september 27, 2004 \| 1aje12 row 13 : 13 \| "leverage" \| elodie keene \| kevin falls & matt m \| november 4, 2004 \| 1aje13 row 14 : 14 \| "illusions" \| george mendeluk \| kimberly costello \| november 11, 2004 \| 1aje14 row 15 : 15 \| "the big one" \| patrick norris \| gretchen j. berg \| november 18, 2004 \| 1aje15 row 16 : 16 \| "the cook, the waitress, the \| kenneth biller \| kenneth biller & dan \| december 2, 2004 \| 1aje16 row 17 : 17 \| "sucker punch" \| perry lang \| liz heldens \| december 9, 2004 \| 1aje17 row 18 : 18 \| "catwalk" \| michael fresco \| colleen mcguinness \| december 16, 2004 \| 1aje18 row 19 : 19 \| "shark" \| alan myerson \| kevin falls & matt m \| january 6, 2005 \| 1aje19 row 20 : 20 \| "the ex-games" \| fred gerber \| amy berg & andrew col \| january 13, 2005 \| 1aje20 row 21 : 21 \| "the end" \| elodie keene \| karyn usher \| unaired \| 1aje21 ] Execute this SQL based on the above table: select count ( * ) where production code = '1aje10'	1
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 15 august 2012 \| ullevaal stadion, \| norway \| 1-3 \| 2-3 \| friendly row 2 : 2 \| 11 september 2012 \| karaiskakis stadium, pir \| lithuania \| 2-0 \| 2-0 \| 2014 fifa world cup qualifier row 3 : 3 \| 14 august 2013 \| red bull arena, salzburg, austria \| austria \| 0-1 \| 0-2 \| friendly row 4 : 4 \| 14 august 2013 \| red bull arena, salzburg, austria \| austria \| 0-2 \| 0-2 \| friendly row 5 : 5 \| 6 september 2013 \| rheinpark stadion, \| liechtenstein \| 0-1 \| 0-1 \| 2014 fifa world cup qualifier row 6 : 6 \| 15 november 2013 \| karaiskakis stadium, pir \| romania \| 1-0 \| 3-1 \| 2014 fifa world cup qualifier - row 7 : 7 \| 15 november 2013 \| karaiskakis stadium, pir \| romania \| 3-1 \| 3-1 \| 2014 fifa world cup qualifier - row 8 : 8 \| 19 november 2013 \| arena nationala, bucharest, roman \| romania \| 0-1 \| 1-1 \| 2014 fifa world cup qualifier - ] Execute this SQL based on the above table: select count ( * ) where date = '14 august 2013'	2
[ header: season \| date \| jia-a/csl winner \| result \| fa cup winner \| scorers \| stadium row 1 : 1995 \| 9 december 1995 \| shanghai shenhua \| 1 - 0 \| jinan taishan ( \| fan zhiyi \| hongkou stadium, shangha row 2 : 1996 \| 9 march 1997 \| dalian wanda (now dalian \| 3 - 2 \| beijing guoan \| wang tao (2), l \| shenzhen stadium, shenzhen row 3 : 1997 \| 12 march 1998 \| dalian wanda (now dalian \| 1 - 2 aet (g \| beijing guoan \| wang tao, olivas \| wenzhou stadium, wenzhou row 4 : 1998 \| 7 march 1999 \| dalian wanda (now dalian \| 0 - 3 \| shanghai shenhua \| wu chengying, marcel \| mianyang stadium, mianyang row 5 : 1999 \| 4 march 2000 \| shandong luneng \| 2 - 4 \| liaoning fushun \| li xiaopeng, casiano \| hongkou stadium, shangha row 6 : 2000 \| 30 december 2000 \| dalian shide \| 4 - 1 \| chongqing lifan \| hao haidong, wang pe \| hongkou stadium, shangha row 7 : 2001 \| 26 february 2002 \| dalian shide \| 1 - 3 (1 - 1 / \| shanghai shenhua \| srđan bajcetic \| hongkou stadium, shangha row 8 : 2001 \| 2 march 2002 \| dalian shide \| 1 - 3 (1 - 1 / \| shanghai shenhua \| orlando (2) \| jinzhou stadium, dalian row 9 : 2002 \| 6 february 2003 \| dalian shide \| 1 - 0 \| qingdao beilaite \| hao haidong \| wuhan sports center, wu row 10 : 2003 \| 18 january 2004 \| shanghai shenhua \| 3 - 4 \| beijing hyundai ( \| zhang yuning, z \| olympic park stadium, w row 11 : 2012 \| 25 february 2012 \| guangzhou evergrande \| 2 - 1 \| tianjin teda \| cleo (2) wang xinx \| guangzhou university city stadium, gu row 12 : 2013 \| 3 march 2013 \| guangzhou evergrande \| 1 - 2 \| jiangsu sainty \| salihi krivets \| tianhe stadium, guangzhou row 13 : 2014 \| 17 february 2014 \| guangzhou evergrande \| 0 - 1 \| guizhou renhe \| sun jihai \| guizhou olympic stadium, ] Execute this SQL based on the above table: select date where id != ( select id where date = '6 february 2003' and result = '1 - 0' ) and jia-a/csl winner = ( select jia-a/csl winner where date = '6 february 2003' and result = '1 - 0' )	30 december 2000, 26 february 2002, 2 march 2002
[ header: draw \| artist \| song \| points \| place row 1 : 1 \| mystique \| "rendez-vous" \| 25 \| 8 row 2 : 2 \| vulcano \| "met jou d'rbi \| 27 \| 5 row 3 : 3 \| bernadette \| "soms" \| 26 \| 6= row 4 : 4 \| deuce \| "computer games" \| 26 \| 6= row 5 : 5 \| music hall \| "stop die show" \| 54 \| 3 row 6 : 6 \| mystique \| "op zo'n dag \| 8 \| 10 row 7 : 7 \| bernadette \| "sing me a song" \| 69 \| 1 row 8 : 8 \| vulcano \| "een beetje van dit \| 68 \| 2 row 9 : 9 \| deuce \| "stopwatch" \| 20 \| 9 row 10 : 10 \| music hall \| "voulez-vous danser" \| 37 \| 4 ] Execute this SQL based on the above table: select artist order by draw limit 1	mystique
[ header: year \| competition \| venue \| position \| notes row 1 : 2005 \| european u23 championships \| erfurt, germany \| 7th \| 72.81 m row 2 : 2008 \| olympic games \| beijing, china \| 8th \| 82.06 m (=pb row 3 : 2009 \| universiade \| belgrade, serbia \| 5th \| 78.29 m row 4 : 2010 \| european championships \| barcelona, spain \| 14th (q) \| 76.29 m row 5 : 2012 \| olympic games \| london, united kingdom \| 15th (q) \| 80.06 m row 6 : 2013 \| world championships \| moscow, russia \| 32nd (q) \| 72.66 m ] Execute this SQL based on the above table: select competition where id = ( select id where competition = 'european u23 championships' ) + 1	olympic games
[ header: place \| team \| played \| won \| draw \| lost \| goals scored \| goals conceded \| +/- \| points row 1 : 1 \| c.d. fas \| 18 \| 10 \| 6 \| 2 \| 27 \| 13 \| 14 \| 36 row 2 : 2 \| c.d. aguila \| 18 \| 9 \| 4 \| 5 \| 38 \| 26 \| 12 \| 31 row 3 : 3 \| c.d. luis angel fir \| 18 \| 7 \| 7 \| 4 \| 25 \| 18 \| 7 \| 28 row 4 : 4 \| san salvador f.c \| 18 \| 8 \| 4 \| 6 \| 31 \| 27 \| 4 \| 28 row 5 : 5 \| alianza f.c \| 18 \| 8 \| 4 \| 6 \| 26 \| 24 \| 2 \| 28 row 6 : 6 \| a.d. isidro \| 18 \| 4 \| 9 \| 5 \| 20 \| 23 \| -3 \| 21 row 7 : 7 \| municipal limeno \| 18 \| 5 \| 5 \| 8 \| 27 \| 29 \| -2 \| 20 row 8 : 8 \| c.d. arcense \| 18 \| 2 \| 11 \| 5 \| 23 \| 32 \| -11 \| 17 row 9 : 9 \| chalatenango \| 18 \| 4 \| 5 \| 9 \| 13 \| 22 \| -9 \| 17 row 10 : 10 \| c.d. atletico balb \| 18 \| 4 \| 3 \| 11 \| 15 \| 31 \| -24 \| 15 ] Execute this SQL based on the above table: select count ( team ) where team = 'chalatenango' and team = 'c.d. aguila'	0
[ header: year \| winners \| score \| runners up \| notes row 1 : 1947 \| wellington town reserves \| 4-1 \| walsall wood \| None row 2 : 1949 \| bilston town \| 1-0 \| oswestry town \| None row 3 : 1950 \| brereton social drew \| None \| None \| None row 4 : 1951 \| bloxwich strollers \| 1-0 \| walsall wood \| after extra time row 5 : 1955 \| shelfield athletic \| 5-1 \| walsall trinity \| None row 6 : 1956 \| shelfield athletic \| 2-0 \| ogley hay \| None row 7 : 1959 \| shelfield athletic \| 4-0 \| walsall wood \| None row 8 : 1960 \| shelfield athletic \| 3-0 \| walsall wood \| None row 9 : 1965 \| rushall olympic \| 2-1 \| brereton social \| None row 10 : 1966 \| lower gornal athletic \| 4-2 \| kidderminster harriers \| after extra time row 11 : 1968 \| wrockwardine wood \| 2-1 \| tamworth \| None row 12 : 1971 \| baddesley colliery \| 4-3 \| atherstone town \| aggregate score, 1st leg 2-2, row 13 : 1973 \| bilston town \| 1-0 \| darlaston \| None row 14 : 1974 \| brereton social \| 3-2 \| warley county borough \| after extra time row 15 : 1977 \| blakenall \| 1-0 \| bilston town \| replay, 1st game 0-0 a row 16 : 1978 \| sutton coldfield town \| 2-0 \| alvechurch \| None row 17 : 1980 \| sutton coldfield town \| 1-0 \| rushall olympic \| None row 18 : 1981 \| blakenall \| 2-1 \| sutton coldfield town \| replay, 1st game 1-1 a row 19 : 1983 \| coleshill town \| 4-3 \| wolverhampton united \| None row 20 : 1984 \| atherstone town \| 4-0 \| tividale \| None row 21 : 1985 \| harrisons \| 2-0 \| wolverhampton united \| None row 22 : 1987 \| boldmere st. michaels \| 2-0 \| bloxwich town \| None row 23 : 1990 \| meir ka \| 2-1 \| rushall olympic \| replay, 1st game 0-0 a row 24 : 1991 \| chasetown \| 1-0 \| blakenall \| after extra time row 25 : 1992 \| armitage 90 \| 3-2 \| meir ka \| after extra time row 26 : 1993 \| chasetown \| 3-1 \| pelsall villa \| None row 27 : 1994 \| newcastle town \| 1-0 \| oldbury united \| after extra time row 28 : 1995 \| newcastle town \| 1-1 \| knypersley victoria \| after extra time, newcastle won on penalties row 29 : 1996 \| blakenall \| 0-0 \| newcastle town \| after extra time, blakenall won on row 30 : 1998 \| blakenall \| 2-1 \| halesowen harriers \| None row 31 : 1999 \| blakenall \| 3-2 \| meir ka \| None row 32 : 2000 \| rushall olympic \| 2-2 \| rocester \| after extra time, rushall won 5-4 on row 33 : 2001 \| wolverhampton casuals \| 2-0 \| sutton coldfield town \| None row 34 : 2002 \| bolehall swifts \| 4-4 \| tividale \| after extra time, bolehall won 4 row 35 : 2004 \| sutton coldfield town \| 3-1 \| tividale \| None row 36 : 2005 \| chasetown \| 2-1 \| tividale \| None row 37 : 2006 \| boldmere st michaels \| 1-0 \| tipton town \| None ] Execute this SQL based on the above table: select max ( year ) - min ( year )	59
[ header: title \| date of creation \| surname \| first titular row 1 : duke of abrantes \| december 9, 1753 \| lorena \| ana maria catarina hen row 2 : duke of albuquerque \| may 19, 1886 \| costa de sousa de macedo \| joao afonso row 3 : duke of aveiro \| b. 1535 \| lencastre mascarenhas da \| john of lencastre, 1s row 4 : duke of avila and bolam \| may 14, 1878 \| avila \| antonio jose de avi row 5 : duke of barcelos \| august 5, 1562 \| braganca \| john, 6th duke of bragan row 6 : duke of cadaval \| april 26, 1648 \| alvares pereira de melo \| nuno alvares pereira de row 7 : duke of caminha \| december 14, 1620 \| menezes \| miguel luis de menezes row 8 : duke of faial \| april 4, 1833 \| sousa holstein \| pedro de sousa holstein row 9 : duke of ficalho \| may 14, 1836 \| almeida \| eugenia mauricia to row 10 : duke of goa \| 1515 \| albuquerque \| afonso de albuque row 11 : duke of guarda \| october 5, 1530 \| portugal-aviz \| ferdinand, prince of portugal row 12 : duke of guimaraes \| 1475 \| braganca \| fernando ii, duke row 13 : duke of linhares \| None \| noronha \| fernando de noronha row 14 : duke of miranda do corvo \| may 13, 1796 \| braganca e ligne de sousa tava \| jose sousa tavares mascaranhas row 15 : duke of palmela \| october 10, 1850 \| sousa holstein \| pedro de sousa holstein row 16 : duke of porto \| 1833 \| braganca \| maria, princess of portugal (f row 17 : duke of saldanha \| november 4, 1846 \| saldanha oliveira e da \| joao francisco de saldan row 18 : duke of tancos \| april 22, 1790 \| manoel \| constanca manoel row 19 : duke of terceira \| november 8, 1832 \| manoel e meneses \| antonio jose de sousa row 20 : duke of torres novas \| september 26, 1619 \| lencastre \| george of lencastre row 21 : duke of trancoso \| 1530 \| portugal-aviz \| ferdinand, prince of portugal row 22 : duke of vila real \| february 28, 1585 \| menezes \| manuel de menezes row 23 : duke of vitoria \| december 12, 1812 \| wellesley \| arthur wellesley, duke of well ] Execute this SQL based on the above table: select surname where date of creation < ( select date of creation where surname = 'lencastre' ) order by date of creation desc limit 1	menezes
[ header: title \| year \| language \| role \| notes row 1 : shakti \| 1982 \| hindi \| None \| credited as "murliss" row 2 : maqbool \| 2003 \| hindi \| devsare \| None row 3 : market \| 2003 \| hindi \| None \| None row 4 : main hoon na \| 2004 \| hindi \| khan \| None row 5 : masti: sanam teri \| 2004 \| hindi \| eunuch at band stand \| None row 6 : mangal pandey: the rising \| 2005 \| hindi \| sheikh paltu \| None row 7 : apaharan \| 2005 \| hindi \| muralidhar \| None row 8 : chocolate \| 2005 \| hindi \| None \| None row 9 : teesri aank \| 2006 \| hindi \| dinesh \| None row 10 : rockin' meera \| 2006 \| None \| prem \| None row 11 : fight club - members only \| 2006 \| hindi \| None \| None row 12 : buddha mar gaya \| 2006 \| hindi \| rohan alexander \| None row 13 : dhol \| 2007 \| hindi \| zicomo \| None row 14 : athidi \| 2007 \| telugu \| kaiser/ajay sastr \| None row 15 : eik dasttak \| 2007 \| None \| None \| None row 16 : black friday \| 2004 \| hindi \| None \| None row 17 : laaga chunari mein daag \| 2007 \| hindi \| None \| None row 18 : one two three \| 2008 \| hindi \| mm munde \| None row 19 : jaane tu... ya \| 2008 \| hindi \| inspector (special appearance) \| None row 20 : mere khwabon mein jo \| 2009 \| None \| None \| None row 21 : chal chala chal \| 2009 \| hindi \| gajendra singh \| None row 22 : 13b: fear has a new address \| 2009 \| tamil/hindi \| inspector shiva \| None row 23 : saluun \| 2009 \| None \| sipahi ji \| None row 24 : rokkkit \| 2010 \| None \| None \| None row 25 : lamhaa \| 2010 \| hindi \| news reporter \| None row 26 : dabangg \| 2010 \| hindi \| None \| None row 27 : tees maar khan \| 2010 \| hindi \| agent-mukherjee \| None row 28 : oosaravelli \| 2011 \| telugu \| chota gangleader \| None row 29 : singham \| 2011 \| hindi \| sp \| None row 30 : chatur singh two star \| 2011 \| hindi \| None \| None row 31 : aalaap \| 2012 \| hindi \| naxalite \| None row 32 : jeena hai toh thok \| 2012 \| hindi \| hanumant singh \| None row 33 : chakravyuh \| 2012 \| hindi \| None \| None row 34 : krishnam vande jaga \| 2012 \| telugu \| chakravarthi \| None row 35 : karma yodha \| 2012 \| malayalam \| None \| None row 36 : hungame pe hungama \| 2013 \| hindi \| None \| None row 37 : platform no. 6 \| 2013 \| telugu \| None \| None row 38 : pattathu yaana \| 2013 \| tamil \| marudhamuthu \| None row 39 : zindagi 50-50 \| 2013 \| hindi \| None \| None row 40 : yevadu \| 2013 \| telugu \| durani \| None row 41 : karmachari \| 2013 \| telugu \| None \| None ] Execute this SQL based on the above table: select year where year in ( 2011 , 2007 ) order by role limit 1861	2007, 2007, 2011, 2011, 2007, 2011, 2007
[ header: administrative area \| area km2 \| area sq mi \| population \| administrative centre row 1 : saint helena \| 122 \| 47 \| 5809 \| jamestown row 2 : ascension island \| 91 \| 35 \| 1532 \| georgetown row 3 : tristan da cunha \| 184 \| 71 \| 388 \| edinburgh of the seven seas row 4 : tristan da cunha \| 98 \| 38 \| 382 \| edinburgh of the seven seas row 5 : inaccessible island \| 14 \| 5 \| 0 \| denstone hut row 6 : nightingale island \| 3.2 \| 1 \| 0 \| west landing row 7 : gough island \| 68 \| 26 \| 6 \| transvaal bay row 8 : total \| 397 \| 153 \| 7729 \| jamestown ] Execute this SQL based on the above table: select administrative area order by population limit 1	inaccessible island
[ header: # \| prime minister \| date of birth \| start date of (first) term \| age at beginning of (first) term \| end date of (final) term \| total time in office \| date of death \| lifespan row 1 : 1 \| edmund barton \| 18 january 1849 \| 1-jan-01 \| 51 years, 348 days \| 24-sep-03 \| 996 days \| 7-jan-20 \| 25,920 days (70 years, 354 days row 2 : 2 \| alfred deakin \| 3 august 1856 \| 24-sep-03 \| 47 years, 52 days \| 29-apr-10 \| 1,774 days \| 7-oct-19 \| 23,074 days (63 years, 65 days row 3 : 3 \| chris watson \| 9 april 1867 \| 27-apr-04 \| 37 years, 18 days \| 18-aug-04 \| 113 days \| 18-nov-41 \| 27,251 days (74 years, 223 row 4 : 4 \| george reid \| 25 february 1845 \| 18-aug-04 \| 59 years, 175 days \| 5-jul-05 \| 321 days \| 12-sep-18 \| 26,861 days (73 years, 199 row 5 : 7 \| billy hughes \| 25 september 1862 \| 27-oct-15 \| 53 years, 32 days \| 9-feb-23 \| 2,662 days \| 28-oct-52 \| 32,905 days (90 years, 33 row 6 : 8 \| stanley bruce \| 15 april 1883 \| 9-feb-23 \| 39 years, 300 days \| 22-oct-29 \| 2,447 days \| 25-aug-67 \| 30,812 days (84 years, 132 row 7 : 9 \| james scullin \| 18 september 1876 \| 22-oct-29 \| 53 years, 34 days \| 6-jan-32 \| 806 days \| 28-jan-53 \| 27,890 days (76 years, 132 row 8 : 10 \| joseph lyons \| 15 september 1879 \| 6-jan-32 \| 52 years, 113 days \| 7-apr-39 \| 2,648 days \| 7-apr-39 \| 21,753 days (59 years, 204 row 9 : 11 \| earle page \| 8 august 1880 \| 7-apr-39 \| 58 years, 242 days \| 26-apr-39 \| 19 days \| 20-dec-61 \| 29,718 days (81 years, 134 row 10 : 12 \| robert menzies \| 20 december 1894 \| 26-apr-39 \| 44 years, 127 days \| 26-jan-66 \| 6,735 days \| 15-may-78 \| 30,461 days (83 years, 146 row 11 : 14 \| john curtin \| 8 january 1885 \| 7-oct-41 \| 56 years, 272 days \| 5-jul-45 \| 1,367 days \| 5-jul-45 \| 22,092 days (60 years, 178 row 12 : 15 \| frank forde \| 18 july 1890 \| 6-jul-45 \| 54 years, 353 days \| 13-jul-45 \| 7 days \| 28-jan-83 \| 33,796 days (92 years, 19 row 13 : 16 \| ben chifley \| 22 september 1885 \| 13-jul-45 \| 59 years, 294 days \| 19-dec-49 \| 1,620 days \| 13-jun-51 \| 24,004 days (65 years, 264 row 14 : 17 \| harold holt \| 5-aug-08 \| 26-jan-66 \| 57 years, 174 days \| 19-dec-67 \| 690 days \| 17-dec-67 \| 21,683 days (59 years, 134 ] Execute this SQL based on the above table: select abs ( ( select age at beginning of (first) term where prime minister = 'billy hughes' ) - ( select age at beginning of (first) term where prime minister = 'james scullin' ) )	0
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1990 \| central american and caribbean games \| mexico city, mexico \| 1st \| 3000 m s'chase \| None row 2 : 1991 \| pan american games \| havana city, cuba \| 6th \| 3000 m s'chase \| None row 3 : 1992 \| olympic games \| barcelona, spain \| 6th \| 10,000 m \| None row 4 : 1993 \| world championships \| stuttgart, germany \| 9th \| 10,000 m \| None row 5 : 1994 \| world half marathon championships \| oslo, norway \| 2nd \| half marathon \| 1:00:28 pb row 6 : 1994 \| new york city marathon \| new york city, united states \| 1st \| marathon \| None row 7 : 1994 \| london marathon \| london, england \| 3rd \| marathon \| None row 8 : 1995 \| world championships \| gothenburg, sweden \| 13th \| 10,000 m \| None row 9 : 1995 \| new york city marathon \| new york city, united states \| 1st \| marathon \| None row 10 : 1996 \| olympic games \| atlanta, united states \| 6th \| marathon \| None row 11 : 1997 \| new york city marathon \| new york city, united states \| 5th \| marathon \| None row 12 : 1997 \| boston marathon \| boston, united states \| 4th \| marathon \| None ] Execute this SQL based on the above table: select count ( * ) where position = '6th' and venue = '6th'	0
[ header: location \| reactor type \| status \| net capacity (mwe) \| gross capacity (mwe) row 1 : chernobyl-1 \| rbmk-1000 \| shut down in 1996 \| 740 \| 800 row 2 : chernobyl-2 \| rbmk-1000 \| shut down in 1991 \| 925 \| 1 row 3 : chernobyl-3 \| rbmk-1000 \| shut down in 2000 \| 925 \| 1 row 4 : chernobyl-4 \| rbmk-1000 \| destroyed in the 1986 accident \| 925 \| 1 row 5 : chernobyl-5 \| rbmk-1000 \| construction cancelled in 1988 \| 950 \| 1 row 6 : chernobyl-6 \| rbmk-1000 \| construction cancelled in 1988 \| 950 \| 1 row 7 : ignalina-1 \| rbmk-1500 \| shut down in 2004 \| 1,185 \| 1,3 row 8 : ignalina-2 \| rbmk-1500 \| shut down in 2009 \| 1,185 \| 1,3 row 9 : ignalina-3 \| rbmk-1500 \| construction cancelled in 1988 \| 1,38 \| 1,5 row 10 : ignalina-4 \| rbmk-1500 \| plan cancelled in 1988 \| 1,38 \| 1,5 row 11 : kostroma-1 \| rbmk-1500 \| construction cancelled in 1980s \| 1,38 \| 1,5 row 12 : kostroma-2 \| rbmk-1500 \| construction cancelled in 1980s \| 1,38 \| 1,5 row 13 : kursk-1 \| rbmk-1000 \| operational until 2021 \| 925 \| 1 row 14 : kursk-2 \| rbmk-1000 \| operational until 2024 \| 925 \| 1 row 15 : kursk-3 \| rbmk-1000 \| operational until march 2014 \| 925 \| 1 row 16 : kursk-4 \| rbmk-1000 \| operational until february 2016 \| 925 \| 1 row 17 : kursk-5 \| mker-1000 \| construction begin was 1985, since then shelve \| 925 \| 1 row 18 : kursk-6 \| rbmk-1000 \| construction cancelled in 1993 \| 925 \| 1 row 19 : leningrad-1 \| rbmk-1000 \| operational \| 925 \| 1 row 20 : leningrad-2 \| rbmk-1000 \| operational until 2021 \| 925 \| 1 row 21 : leningrad-3 \| rbmk-1000 \| operational until june 2025 \| 925 \| 1 row 22 : leningrad-4 \| rbmk-1000 \| operational until august 2026 \| 925 \| 1 row 23 : smolensk-1 \| rbmk-1000 \| operational until december 2022 \| 925 \| 1 row 24 : smolensk-2 \| rbmk-1000 \| operational until july 2015 \| 925 \| 1 row 25 : smolensk-3 \| rbmk-1000 \| operational until july 2023 \| 925 \| 1 row 26 : smolensk-4 \| rbmk-1000 \| construction cancelled in 1993 \| 925 \| 1 ] Execute this SQL based on the above table: select status where id = ( select id where status = 'plan cancelled in 1988' ) - 1	construction cancelled in 1988
[ header: year \| division \| league \| regular season \| playoffs \| open cup row 1 : 2006 \| 4 \| usl pdl \| 5th, northwest \| did not qualify \| did not qualify row 2 : 2007 \| 4 \| usl pdl \| 2nd, northwest \| conference semifinals \| did not qualify row 3 : 2008 \| 4 \| usl pdl \| 1st, northwest \| conference finals \| did not qualify row 4 : 2009 \| 4 \| usl pdl \| 7th, northwest \| did not qualify \| did not qualify row 5 : 2010 \| 4 \| usl pdl \| 3rd, northwest \| did not qualify \| did not qualify row 6 : 2011 \| 4 \| usl pdl \| 8th, northwest \| did not qualify \| did not qualify row 7 : 2012 \| 4 \| usl pdl \| 1st, northwest \| semifinals \| did not qualify row 8 : 2013 \| 4 \| usl pdl \| 4th, northwest \| did not qualify \| 2nd round ] Execute this SQL based on the above table: select league order by year desc limit 1	usl pdl
[ 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 super g where id = 1	not run
[ header: year \| title \| us hot 100 \| us modern rock \| us mainstream rock \| album row 1 : 1994 \| "neenah menasha" \| None \| None \| None \| rotting pinata row 2 : 1994 \| "plowed" \| None \| 5 \| 9 \| rotting pinata row 3 : 1995 \| "molly (16 candles down the drain)" \| 55 \| 3 \| 11 \| rotting pinata row 4 : 1995 \| "rainin'" \| None \| 34 \| 18 \| rotting pinata row 5 : 1996 \| "wax ecstatic (to \| None \| 15 \| 11 \| wax ecstatic row 6 : 1997 \| "have you seen mary" \| None \| None \| 7 \| wax ecstatic row 7 : 1999 \| "live here without you" \| None \| None \| None \| new pop sunday row 8 : 1999 \| "1000 times" \| None \| None \| None \| new pop sunday row 9 : 2003 \| "treat me wrong" \| None \| None \| None \| for all the drugs in the world row 10 : 2003 \| "leave this world" \| None \| None \| None \| for all the drugs in the world row 11 : 2005 \| "the man" \| None \| None \| None \| the man row 12 : 2005 \| "higher (part 1)" \| None \| None \| None \| the man row 13 : 2009 \| "come in from the rain" \| None \| None \| None \| destroy the boy ep row 14 : 2010 \| "destroy the boy" \| None \| None \| None \| destroy the boy ep row 15 : 2013 \| "fade from view" \| None \| None \| None \| stop the bleeding row 16 : 2013 \| "lifes bitter pills" \| None \| None \| None \| stop the bleeding ] Execute this SQL based on the above table: select count ( title ) where title = '"come in from the rain"'	1
[ header: # \| nation \| qualification tournament \| place in qt \| sailor row 1 : 1 \| china \| host country \| None \| None row 2 : 2 \| brazil \| 2007 worlds \| 1 \| robert scheidt, bruno row 3 : 3 \| france \| 2007 worlds \| 2 \| xavier rohart, pas row 4 : 4 \| great britain \| 2007 worlds \| 3 \| iain percy, andre row 5 : 5 \| new zealand \| 2007 worlds \| 4 \| hamish pepper, carl william row 6 : 6 \| italy \| 2007 worlds \| 5 \| diego negri, luigi row 7 : 7 \| poland \| 2007 worlds \| 6 \| mateusz kuszniere row 8 : 8 \| germany \| 2007 worlds \| 7 \| marc pickel, ingo borkowski row 9 : 9 \| sweden \| 2007 worlds \| 8 \| fredrik loof, anders row 10 : 10 \| australia \| 2007 worlds \| 9 \| iain murray, andrew row 11 : 11 \| portugal \| 2007 worlds \| 10 \| afonso domingos, row 12 : 12 \| united states \| 2007 worlds \| 11 \| mark reynolds, hal row 13 : 13 \| switzerland \| 2008 worlds \| 4 \| flavio marazzi, enric row 14 : 14 \| croatia \| 2008 worlds \| 12 \| marin lovrovic, sinsa row 15 : 15 \| ireland \| 2008 worlds \| 14 \| max treacy, anthony shank row 16 : 16 \| austria \| 2008 worlds \| 16 \| hans spitzauer, ] Execute this SQL based on the above table: select count ( nation ) where place in qt > 6	8
[ header: season \| league \| gold \| silver \| bronze \| winning manager row 1 : 1947-48 \| league of norway \| freidig \| sparta \| None \| None row 2 : 1948-49 \| main league \| fredrikstad \| valerenga \| None \| None row 3 : 1950-51 \| main league \| fredrikstad \| odd \| None \| None row 4 : 1952-53 \| main league \| larvik turn \| skeid \| None \| None row 5 : 1954-55 \| main league \| larvik turn \| fredrikstad \| None \| None row 6 : 1958-59 \| main league \| lillestrøm \| fredrikstad \| None \| karl gudmundson row 7 : 1959-60 \| main league \| fredrikstad \| lillestrøm \| eik-tønsberg \| None row 8 : 1965 \| first division \| valerenga \| lyn \| sarpsborg \| anton ploderer row 9 : 1966 \| first division \| skeid \| fredrikstad \| lyn \| None row 10 : 1969 \| first division \| rosenborg \| fredrikstad \| strømsgodset \| george curtis row 11 : 1971 \| first division \| rosenborg \| lyn \| viking \| nils arne eggen row 12 : 1972 \| first division \| viking \| fredrikstad \| strømsgodset \| kjell schou-andrea row 13 : 1974 \| first division \| viking \| molde \| valerenga \| stuart williams row 14 : 1975 \| first division \| viking \| brann \| start \| olav nilsen row 15 : 1976 \| first division \| lillestrøm \| mjøndalen \| brann \| joar hoff row 16 : 1977 \| first division \| lillestrøm \| bodø/glimt \| molde \| joe hooley row 17 : 1979 \| first division \| viking \| moss \| start \| tony knapp row 18 : 1983 \| first division \| valerenga \| lillestrøm \| start \| gunder bengtsson row 19 : 1984 \| first division \| valerenga \| viking \| start \| gunder bengtsson per anders row 20 : 1985 \| first division \| rosenborg \| lillestrøm \| valerenga \| arne dokken bjø row 21 : 1990 \| first division \| rosenborg \| tromsø \| molde \| nils arne eggen row 22 : 1991 \| tippeligaen \| viking \| rosenborg \| start \| benny lennartsson row 23 : 1992 \| tippeligaen \| rosenborg \| kongsvinger \| start \| nils arne eggen row 24 : 1993 \| tippeligaen \| rosenborg \| bodø/glimt \| lillestrøm \| nils arne eggen row 25 : 1994 \| tippeligaen \| rosenborg \| lillestrøm \| viking \| nils arne eggen row 26 : 1996 \| tippeligaen \| rosenborg \| lillestrøm \| viking \| nils arne eggen row 27 : 2002 \| tippeligaen \| rosenborg \| molde \| lyn \| nils arne eggen row 28 : 2003 \| tippeligaen \| rosenborg \| bodø/glimt \| stabæk \| age hareide row 29 : 2004 \| tippeligaen \| rosenborg \| valerenga \| brann \| ola by rise row 30 : 2006 \| tippeligaen \| rosenborg \| brann \| valerenga \| knut tørum per-m ] Execute this SQL based on the above table: select silver order by length ( silver ) desc limit 1	fredrikstad
[ header: representative \| title \| from \| to \| appointed by row 1 : william shaler \| special diplomatic agent \| 1810 \| 1812 \| james madison row 2 : john h. robinson \| special diplomatic agent \| 1812 \| 1814 \| james madison row 3 : joel roberts po \| minister \| 1825 \| 1829 \| john quincy adams row 4 : anthony butler \| charge d'affaires \| 1829 \| 1835 \| None row 5 : powhatan ellis \| charge d'affaires \| 1836 \| None \| andrew jackson row 6 : powhatan ellis \| minister \| 1839 \| 1842 \| martin van buren row 7 : waddy thompson, j \| minister \| 1842 \| 1844 \| john tyler row 8 : gilbert l. tho \| special diplomatic agent \| 1844 \| None \| john tyler row 9 : wilson shannon \| minister \| 1844 \| 1845 \| john tyler row 10 : john slidell \| minister \| 1845 \| None \| james k. polk row 11 : david conner \| special diplomatic agent \| 1846 \| None \| james k. polk row 12 : nathan clifford \| minister \| 1848 \| 1849 \| james k. polk row 13 : robert greenhow \| special diplomatic agent \| 1850 \| None \| None row 14 : george g. goss \| special diplomatic agent \| 1850 \| 1852 \| None row 15 : edward smith \| special diplomatic agent \| 1852 \| None \| millard fillmore row 16 : george e. cooper \| special diplomatic agent \| 1853 \| None \| None row 17 : christopher l. ward \| special diplomatic agent \| 1853 \| None \| None row 18 : richard s. spofford \| special diplomatic agent \| 1854 \| None \| franklin pierce row 19 : william m. churchwell \| special diplomatic agent \| 1858 \| None \| james buchanan row 20 : alfred mordecai \| special diplomatic agent \| 1858 \| None \| james buchanan row 21 : duff green \| special diplomatic agent \| 1859 \| None \| james buchanan row 22 : david r. porter \| special diplomatic agent \| 1859 \| None \| james buchanan row 23 : robert milligan mclane \| minister \| 1859 \| 1860 \| james buchanan row 24 : henry roy de la reintrie \| special diplomatic agent \| 1860 \| None \| james buchanan row 25 : lewis d. campbell \| minister \| 1866 \| 1867 \| andrew johnson row 26 : marcus otterbourg \| minister \| 1867 \| None \| andrew johnson row 27 : william s. rosecrans \| minister \| 1868 \| 1869 \| andrew johnson row 28 : john w. foster \| minister \| 1873 \| 1880 \| ulysses s. grant row 29 : philip hicky morgan \| minister \| 1880 \| 1885 \| rutherford b. hayes row 30 : thomas courtland manning \| minister \| 1886 \| 1887 \| grover cleveland row 31 : thomas ryan \| minister \| 1889 \| 1893 \| None row 32 : matt whitaker ransom \| minister \| 1895 \| 1897 \| grover cleveland row 33 : powell clayton \| minister \| 1897 \| 1898 \| None ] Execute this SQL based on the above table: select representative group by representative order by count ( representative ) desc limit 1	powhatan ellis
[ 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 # where crew chief = 'harold holly'	32
[ header: rank \| area \| date \| presenter \| seven wonders covered row 1 : 1 \| south west \| 3 may \| samantha smith \| dartmoor, jurassic coast, row 2 : 2 \| yorkshire & lincolnshire \| 9 may \| paul hudson \| malham cove, the three peaks, row 3 : 3 \| london \| 16 may \| bill oddie \| islands in the river thames, the row 4 : 4 \| the north \| 23 may \| chris jackson \| lake district, river wear, whin sill row 5 : 5 \| the south \| 30 may \| aubrey manning \| the needles, lulworth cove row 6 : 6 \| the midlands \| 6 june \| dominic heale \| kinder scout, dovedale row 7 : 7 \| the west country \| 17 june \| amanda parr \| avebury, symonds row 8 : 8 \| south east \| 22 june \| kaddy lee-preston \| white cliffs of dover, seven sisters ] Execute this SQL based on the above table: select seven wonders covered group by seven wonders covered order by count ( * ) desc limit 1	white cliffs of dover, seven sisters, north downs, dungeness, romney marsh, ecclesbourne glen, pegwell bay
[ header: name \| date built \| builder \| works no. \| wheels \| cylinders \| notes \| withdrawn row 1 : veteran \| 1847 \| None \| None \| 0-6-0 \| inside \| arr. 1847 \| None row 2 : fairfield \| 1847 \| None \| None \| 0-6-0 \| inside \| arr. 1847 \| None row 3 : waverley \| None \| henry hughes of lough \| None \| 0-4-0st \| outside \| None \| 1889 row 4 : bee \| None \| None \| None \| 0-6-0t \| None \| None \| None row 5 : spider \| None \| None \| None \| 0-6-0t \| None \| None \| None row 6 : gillingham \| None \| aveling and porter \| None \| 0-6-0tg \| None \| arr. 1893 \| 1893 row 7 : no.1 \| 1880 \| hunslet \| 231 \| 0-6-0st \| inside \| arr. 1893 \| 1923 row 8 : no.2 \| 1898 \| peckett \| 696 \| 0-4-0st \| outside \| arr. 1904 \| 1923 ] Execute this SQL based on the above table: select count ( date built ) where works no. = 231	1
[ header: # \| name \| height \| weight (lbs.) \| position \| class \| hometown \| previous team(s) row 1 : 1 \| aaron johnson \| 5'8" \| 185 \| g \| sr \| chicago, il, u. \| hubbard hs row 2 : 3 \| anthony criswell \| 6'9" \| 230 \| f \| fr \| oklahoma city, ok, \| douglass high school row 3 : 4 \| jamarr sanders \| 6'4" \| 210 \| g \| sr \| montgomery, al, u. \| jeff davis high school nw row 4 : 5 \| robert williams \| 6'4" \| 210 \| g \| fr \| greenville, ms, u. \| weston high school row 5 : 10 \| karl moton \| 5'11" \| 195 \| g \| so \| stone mountain, ga, u.s \| chamblee hs row 6 : 21 \| beas hamga \| 6'11" \| 230 \| c \| jr \| douala, cameroon \| weatherford (texas) cc row 7 : 22 \| cameron moore \| 6'10" \| 230 \| f \| jr \| san antonio, \| roosevelt h row 8 : 23 \| dexter fields \| 6'2" \| 205 \| g \| so \| orlando, fl, \| olympia hs row 9 : 24 \| preston purifoy \| 6'5" \| 215 \| g \| fr \| conway, ar, u.s \| conway high school row 10 : 32 \| ovie soko \| 6'8" \| 210 \| f \| so \| london, england, \| bethel hs row 11 : 2 \| mike jones \| 6'1" \| 185 \| g \| sr \| nashville, tn, \| hunters lane high school row 12 : 25 \| quincy taylor \| 6'0" \| 185 \| g \| fr \| wichita, ks, \| wichita collegiate high school row 13 : 44 \| jordan swing \| 6'6" \| 200 \| f \| so \| birmingham, al, u. \| western kentucky university ] Execute this SQL based on the above table: select ( ( select weight (lbs.) where class = 'so' ) - ( select min ( weight (lbs.) ) ) )	10.0
[ header: sheriff \| start of term row 1 : josiah hobart \| 1683 row 2 : john mulford \| 1701 row 3 : hugh gray \| 1702 row 4 : john brush \| 1710 row 5 : daniel youngs \| 1718 row 6 : samuel dayton \| 1723 row 7 : william sell \| 1728 row 8 : joseph smith \| 1730 row 9 : david corrie \| 1731 row 10 : jacob conklin \| 1734 row 11 : thomas higbe \| 1740 row 12 : james muirson \| 1774 row 13 : thomas wickes \| 1785 row 14 : silas halsey \| 1787 row 15 : thomas wickes \| 1791 row 16 : phinaes carll \| 1799 row 17 : josiah reeve \| 1803 row 18 : phinaes smith \| 1807 row 19 : josiah reeve \| 1808 row 20 : benjamin brewster \| 1810 row 21 : josiah reeve \| 1811 row 22 : benjamin brewster \| 1812 row 23 : nathaniel conklin \| 1814 row 24 : josiah reeve \| 1815 row 25 : samuel smith \| 1826 row 26 : abraham gardiner \| 1829 row 27 : richard smith \| 1832 row 28 : silas horton \| 1835 row 29 : samuel miller \| 1838 row 30 : david brush \| 1841 row 31 : henry penny \| 1844 row 32 : david rose \| 1847 row 33 : john clark \| 1850 row 34 : samuel phillips \| 1855 row 35 : george carman \| 1856 row 36 : daniel osborn \| 1862 row 37 : george smith \| 1868 row 38 : j. henry perkins \| 1871 row 39 : egbert lewis \| 1874 row 40 : george cooper \| 1877 row 41 : robert petty \| 1888 row 42 : selah brewster \| 1883 row 43 : henry halsey \| 1886 row 44 : robert petty \| 1888 row 45 : a. m. darling \| 1891 row 46 : benjamin wood \| 1897 row 47 : j. sheridan wells \| 1900 row 48 : henry preston \| 1903 row 49 : john wells \| 1906 row 50 : charles platt \| 1909 row 51 : melville brush \| 1912 row 52 : d. henry brown \| 1913 row 53 : charles o'dell \| 1914 row 54 : john kelly \| 1920 row 55 : amza biggs \| 1923 row 56 : burton howe \| 1926 row 57 : ellis taylor \| 1929 row 58 : joseph warta \| 1932 row 59 : william mccollom \| 1935 row 60 : jacob dreyer \| 1938 row 61 : john levy \| 1941 row 62 : william mccollom \| 1942 row 63 : charles dominy \| 1957 row 64 : frank gross \| 1962 row 65 : philip corso \| 1970 row 66 : donald dilworth \| 1976 row 67 : john finnerty \| 1977 row 68 : eugene dooley \| 1986 row 69 : patrick mahoney \| 1990 row 70 : alfred c. tisch \| 2002 row 71 : vincent f. demarco \| 2006 ] Execute this SQL based on the above table: select sheriff order by sheriff desc limit 1	william sell
[ header: party \| candidate(s) \| votes \| percentage row 1 : uup \| peter weir alan m \| 9270 \| 25.6 row 2 : uk unionist \| robert mccartney \| 7579 \| 20.9 row 3 : dup \| st clair mcalister rub \| 6699 \| 18.5 row 4 : alliance \| oliver napier brian wil \| 6186 \| 17.1 row 5 : sdlp \| owen adams john bur \| 1798 \| 5 row 6 : pup \| victor ash samuel \| 1694 \| 4.7 row 7 : ulster democratic \| james mccullough \| 651 \| 1.8 row 8 : ni women's coalition \| emma mcguigan an \| 496 \| 1.4 row 9 : conservative \| ann thompson bruce \| 444 \| 1.2 row 10 : independent chambers \| alan chambers james arbut \| 334 \| 0.9 row 11 : green (ni) \| paddy mcevoy mary ring \| 283 \| 0.8 row 12 : sinn fein \| mairtin o mulleoir \| 275 \| 0.8 row 13 : labour coalition \| john magennis sean m \| 171 \| 0.5 row 14 : independent dup \| thomas o'brien will \| 97 \| 0.3 row 15 : democratic left \| daryl armitage tim davis \| 95 \| 0.3 row 16 : workers' party \| dessie o'hagan colum \| 60 \| 0.2 row 17 : ulster independence \| geoffrey watson glenn \| 49 \| 0.1 row 18 : independent voice \| christopher carter fidelm \| 49 \| 0.1 row 19 : natural law \| peter mcgowan tho \| 15 \| 0 ] Execute this SQL based on the above table: select candidate(s) where party in ( 'uk unionist' , 'green (ni)' ) order by votes desc limit 1	robert mccartney valerie kinghan patricia watson
[ header: team \| competition \| category \| appearances start \| appearances sub \| goals \| team record row 1 : japan \| 2006 afc u-17 championship qualification \| u-15 \| 1 \| 0 \| 0 \| qualified row 2 : japan \| 2006 afc u-17 championship \| u-16 \| 4 \| 1 \| 4 \| champions row 3 : japan \| 2007 fifa u-17 world cup \| u-17 \| 1 \| 2 \| 2 \| round 1 row 4 : japan \| 2008 afc youth championship qualification \| u-18 \| 4 \| 0 \| 2 \| qualified row 5 : japan \| 2008 afc u-19 championship \| u-19 \| 1 \| 1 \| 0 \| quarterfinal row 6 : japan \| 2013 eaff east asian cup \| senior \| 2 \| 0 \| 3 \| champions ] Execute this SQL based on the above table: select count ( team record ) where competition < 2013	5
[ header: year \| division \| league \| regular season \| playoffs \| open cup row 1 : 2006 \| 4 \| usl pdl \| 5th, northwest \| did not qualify \| did not qualify row 2 : 2007 \| 4 \| usl pdl \| 2nd, northwest \| conference semifinals \| did not qualify row 3 : 2008 \| 4 \| usl pdl \| 1st, northwest \| conference finals \| did not qualify row 4 : 2009 \| 4 \| usl pdl \| 7th, northwest \| did not qualify \| did not qualify row 5 : 2010 \| 4 \| usl pdl \| 3rd, northwest \| did not qualify \| did not qualify row 6 : 2011 \| 4 \| usl pdl \| 8th, northwest \| did not qualify \| did not qualify row 7 : 2012 \| 4 \| usl pdl \| 1st, northwest \| semifinals \| did not qualify row 8 : 2013 \| 4 \| usl pdl \| 4th, northwest \| did not qualify \| 2nd round ] Execute this SQL based on the above table: select sum ( division ) where playoffs in ( 'conference finals' , 'did not qualify' , 'conference semifinals' )	28.0
[ header: model \| origin \| type \| version \| in service \| notes row 1 : larc-v \| united states \| amphibious support vehicle \| larc-v \| 5 \| most refurbished in 2006 row 2 : gkn aquatrack \| united kingdom \| amphibious support vehicle \| aquatrack \| 2 \| introduced in mid 1990s. originally owned by the row 3 : am general hmmwv \| united states \| light utility vehicle \| m998a1 m1038 \| None \| divided into several variants and series row 4 : maxi-ambulance \| united states \| light utility vehicle \| m997a2 \| 4 \| 150 delivered to afp on nov row 5 : m939 truck \| united states \| heavy utility vehicle \| m923 \| None \| several delivered to afp in 2013, several row 6 : m35 truck \| united states \| 2 1/2-ton utility vehicle \| m35 \| None \| divided into several variants and series. more delivered row 7 : m151 \| united states \| 1/4-ton light utility vehicle and weapons carrier \| standard \| None \| in service, several carrying m40 106 row 8 : delta mini cruiser \| philippines \| 1/4-ton light utility vehicle \| m1777 \| None \| divided into several variants and series, including short row 9 : marine multi-purpose vehicle \| philippines \| light utility vehicle and weapons carrier \| standard \| None \| to replace the m151 mutt, row 10 : km-50 series \| republic of korea \| 5-ton utility vehicle \| km-500 \| 12 \| 155mm artillery prime mover. row 11 : km-45 series \| republic of korea \| 1 1/2-ton utility vehicle \| km-450 \| >50 \| 3000 purchased by afp on 2007, row 12 : km-45 series \| republic of korea \| field ambulance \| km-451 \| 12 \| 500 purchased by afp in 2012, ] Execute this SQL based on the above table: select ( select in service where model = 'larc-v' ) - ( select in service where model = 'km-50 series' )	-7.0
[ header: date \| winner \| score \| loser \| score \| attendance \| notes row 1 : 25-dec-82 \| washington \| 21 \| maryland \| 20 \| 30055 \| notes row 2 : 26-dec-83 \| penn state \| 13 \| washington \| 10 \| 37212 \| notes row 3 : 29-dec-84 \| smu \| 27 \| notre dame \| 20 \| 41777 \| notes row 4 : 28-dec-85 \| alabama \| 24 \| usc \| 3 \| 35183 \| notes row 5 : 27-dec-86 \| arizona \| 30 \| north carolina \| 21 \| 26743 \| notes row 6 : 25-dec-87 \| ucla \| 20 \| florida \| 16 \| 24839 \| notes row 7 : 25-dec-88 \| washington state \| 24 \| houston \| 22 \| 35132 \| notes row 8 : 25-dec-89 \| michigan state \| 33 \| hawaii \| 13 \| 50000 \| notes row 9 : 25-dec-90 \| syracuse \| 28 \| arizona \| 0 \| 14185 \| notes row 10 : 25-dec-91 \| georgia tech \| 18 \| stanford \| 17 \| 34433 \| notes row 11 : 25-dec-92 \| kansas \| 23 \| byu \| 20 \| 42933 \| notes row 12 : 25-dec-93 \| colorado \| 41 \| fresno state \| 30 \| 44009 \| notes row 13 : 25-dec-94 \| boston college \| 12 \| kansas state \| 7 \| 44862 \| notes row 14 : 25-dec-95 \| kansas \| 51 \| ucla \| 30 \| 41111 \| notes row 15 : 25-dec-96 \| navy \| 42 \| cal \| 38 \| 43380 \| notes row 16 : 25-dec-97 \| washington \| 51 \| michigan state \| 23 \| 44598 \| notes row 17 : 25-dec-98 \| colorado \| 51 \| oregon \| 43 \| 46451 \| notes row 18 : 25-dec-99 \| wake forest \| 23 \| arizona state \| 3 \| 40974 \| notes row 19 : 25-dec-00 \| boston college \| 31 \| arizona state \| 17 \| 24397 \| notes ] Execute this SQL based on the above table: select winner where score = 30	colorado, kansas
[ header: year \| location \| gold \| silver \| bronze row 1 : 1950 \| basel \| helena rakoczy \| tereza kocis \| stefania reindlova row 2 : 1954 \| rome \| tamara manina \| eva bosakova \| maria gorokovskaya row 3 : 1958 \| moscow \| eva bosakova \| larisa latynina \| keiko tanaka row 4 : 1962 \| prague \| larisa latynina \| irina pervuschina \| vera caslavska row 5 : 1974 \| varna \| ludmila turicheva \| olga korbut \| elvira saad row 6 : 1978 \| strasbourg \| nellie kim elena \| None \| emilia eberle ka row 7 : 1983 \| budapest \| ekaterina szabo \| olga mostepanova \| boriana stoyanova row 8 : 1985 \| montreal \| oksana omelianchik \| elena shushunova \| ulrike klotz row 9 : 1991 \| indianapolis \| cristina bontas ok \| None \| kim zmeskal row 10 : 1993 \| birmingham \| shannon miller \| gina gogean \| natalia bobrova row 11 : 1994 \| brisbane \| dina kochetkova \| lavinia milosovici \| gina gogean row 12 : 1995 \| sabae \| gina gogean \| ji liya \| ludivine furnon row 13 : 1996 \| san juan \| kui yuan-yu \| None \| liubov sheremet row 14 : 1997 \| lausanne \| gina gogean \| svetlana khorkin \| elena produnova row 15 : 1999 \| tianjin \| andreea raducan \| simona amanar \| svetlana khorkin row 16 : 2001 \| ghent \| andreea raducan \| daniele hypolito \| svetlana khorkin row 17 : 2005 \| melbourne \| alicia sacramone \| anastasia liukin \| suzanne harmes row 18 : 2006 \| aarhus \| cheng fei \| jana bieger \| vanessa ferrari row 19 : 2009 \| london \| elizabeth tweddle \| lauren mitchell \| sui lu row 20 : 2010 \| rotterdam \| lauren mitchell \| aliya mustafina \| None row 21 : 2011 \| tokyo \| ksenia afanasy \| sui lu \| aly raisman row 22 : 2014 \| nanning \| None \| None \| None row 23 : 2015 \| glasgow \| None \| None \| None ] Execute this SQL based on the above table: select location where location in ( 'brisbane' , 'ghent' ) order by year desc limit 1	ghent
[ header: place \| code \| area (km2) \| population \| most spoken language row 1 : beatrix mine \| 40701 \| 0.17 \| 2492 \| sotho row 2 : boipatong \| 40702 \| 0.31 \| 1501 \| sotho row 3 : brandfort \| 40703 \| 3.2 \| 1516 \| afrikaans row 4 : fora \| 40704 \| 0.05 \| 530 \| sotho row 5 : ikgomotseng \| 40705 \| 1.07 \| 2254 \| tswana row 6 : joel mine \| 40706 \| 0.11 \| 728 \| sotho row 7 : lusaka \| 40707 \| 1.4 \| 6110 \| sotho row 8 : majwemasweu \| 40708 \| 2.5 \| 10328 \| sotho row 9 : makeleketla \| 40709 \| 1.35 \| 6629 \| sotho row 10 : masilo \| 40710 \| 3.02 \| 14903 \| sotho row 11 : star diamond mine \| 40712 \| 0.11 \| 212 \| sotho row 12 : theunissen \| 40713 \| 15.11 \| 1667 \| afrikaans row 13 : tshepong \| 40714 \| 0.54 \| 1710 \| sotho row 14 : verkeerdevlei \| 40715 \| 1.22 \| 151 \| afrikaans row 15 : winburg \| 40716 \| 70.22 \| 3371 \| sotho row 16 : remainder of the municipality \| 40711 \| 6696.44 \| 10304 \| sotho ] Execute this SQL based on the above table: select count ( * ) where most spoken language = 'sotho'	12
[ header: airing date \| english title (chinese title) \| number of episodes \| main cast \| theme song (t) sub-theme song (st) \| genre \| notes \| official website row 1 : 19 feb- 15 mar \| mutual affection 河東獅吼 \| 20 \| esther kwan, gordon la \| t: "怕老婆會發達" (david \| costume drama \| None \| None row 2 : 18 mar- 3 may \| dark tales 聊齋 \| 35 \| gallen lo, grace yu, ja \| t: "隔世情" (cass \| costume drama \| prequel to 1998's dark tales \| None row 3 : 6 may- 31 may \| money just can't buy 天降財神 \| 20 \| bobby au yeung, mari \| t: "運財有福星" (natalis \| modern drama \| None \| None row 4 : 3 jun- 21 jun \| crossing boundaries 盞鬼老豆 \| 15 \| mini kung, benz hui \| t: "覺悟" (vivian \| modern drama \| released overseas on april 3, 1995 \| None row 5 : 24 jun- 16 aug \| state of divinity 笑傲江湖 \| 40 \| jackie lui, fiona le \| t: "活得瀟灑" (alan \| costume drama \| None \| official website row 6 : 19 aug- 6 sep \| the price to pay 五個醒覺的少年 \| 20 \| john kwan, may kw \| t: "改改改" (hacken le \| modern drama \| released overseas on december 7, 1995 \| None row 7 : 9 sep- 4 oct \| night journey 殭屍福星 \| 20 \| yuen wah, dani \| t: "今天開始" (danie \| costume drama \| None \| None row 8 : 7 oct- 15 nov \| food of love 闔府統請 \| 30 \| wong he, kenix k \| t: "闔府統請" (gabriel \| modern drama \| None \| None row 9 : 10 nov- 20 dec \| journey to the west 西遊記 \| 30 \| dicky cheung, kw \| t: "西遊記" (dicky \| costume drama \| prequel to 1998's journey to the west \| official website row 10 : 30 dec 1996- 27 jan 1998 \| in the name of love 有肥人終成眷屬 \| 20 \| kent cheng, sunny chan \| t: "但願有情人" (mo \| modern drama \| None \| None ] Execute this SQL based on the above table: select abs ( ( select number of episodes where main cast = 'mini kung, benz hui' and genre = 'modern drama' ) - ( select number of episodes where main cast = 'mini kung, benz hui' and genre = 'modern drama' ) )	0.0
[ header: year \| host / location \| division i overall \| division i undergraduate \| division ii overall \| division ii community college row 1 : 1997 \| penn \| chicago \| None \| None \| None row 2 : 1998 \| vanderbilt \| stanford \| swarthmore \| harvard \| None row 3 : 1999 \| michigan \| chicago \| carleton \| princeton \| None row 4 : 2000 \| boston u \| illinois \| princeton \| harvard \| None row 5 : 2001 \| washington, st. louis \| chicago \| princeton \| pittsburgh \| None row 6 : 2002 \| north carolina \| michigan \| princeton \| yale \| valencia cc row 7 : 2003 \| ucla and caltech \| chicago \| harvard \| berkeley \| valencia cc row 8 : 2004 \| washington, st. louis \| cal-berkeley \| illinois \| ucla \| valencia cc row 9 : 2005 \| tulane \| michigan \| va commonwealth \| chicago \| faulkner st row 10 : 2006 \| maryland \| cal-berkeley \| williams college \| stanford \| broward cc row 11 : 2007 \| minnesota \| chicago \| carleton \| maryland \| valencia cc row 12 : 2008 \| washington, st. louis \| maryland \| harvard \| carleton \| valencia cc row 13 : 2009 \| dallas, texas \| chicago \| minnesota \| chicago \| northeast alabama cc row 14 : 2010 \| chicago, illinois \| chicago \| minnesota \| brown \| st. charles cc row 15 : 2011 \| chicago, illinois \| minnesota \| vcu \| yale \| chipola row 16 : 2012 \| chicago, illinois \| virginia \| ohio state \| harvard \| chipola row 17 : 2013 \| chicago, illinois \| yale \| ohio state \| stanford \| chipola row 18 : 2014 \| chicago, illinois \| virginia \| yale \| harvard \| valencia ] Execute this SQL based on the above table: select division i overall order by year desc limit 1	virginia
[ header: rank \| athlete \| time \| notes \| q row 1 : 1 \| habtamu fayisa \| 5:38.62 \| pb \| fa row 2 : 2 \| peter matheka mutuku ( \| 5:38.72 \| pb \| fa row 3 : 3 \| zakaria kiprotich ( \| 5:44.51 \| pb \| fa row 4 : 4 \| waleed elayah (ye \| 5:51.58 \| pb \| fa row 5 : 5 \| bilal tabti (alg) \| 5:56.21 \| pb \| fa row 6 : 6 \| yousif daifalla (su \| 5:56.46 \| pb \| fa row 7 : 7 \| salem attiatalla (eg \| 6:03.41 \| None \| fa row 8 : 8 \| daniel wong (usa \| 6:05.92 \| pb \| fa row 9 : 9 \| david morcillo (esp \| 6:10.90 \| None \| fb row 10 : 10 \| laurentiu rosu (rou \| 6:12.77 \| None \| fb row 11 : 11 \| grant gwynne (aus) \| 6:16.83 \| None \| fb row 12 : 12 \| ioran etchechury (bra \| 6:39.87 \| None \| fb row 13 : 13 \| bacem salhi (tun \| 6:43.17 \| None \| fb row 14 : None \| ahmed burhan (ksa \| dsq \| None \| fb row 15 : None \| zak seddon (gbr \| dsq \| None \| fb ] Execute this SQL based on the above table: select q order by time desc limit 1	fa
[ 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 count ( best finish ) where best finish = 't11'	1
[ header: outcome \| year \| championship \| surface \| opponent \| score row 1 : runner-up \| 2002 \| canada (toronto) (1) \| hard \| guillermo canas \| 4-6, 5-7 row 2 : winner \| 2003 \| montreal \| hard \| david nalbandian \| 6-1, 6-3 row 3 : winner \| 2003 \| cincinnati \| hard \| mardy fish \| 4-6, 7-6(7-3), 7 row 4 : winner \| 2004 \| miami \| hard \| guillermo coria \| 6-7(2-7), 6-3, 6 row 5 : runner-up \| 2004 \| toronto (2) \| hard \| roger federer \| 5-7, 3-6 row 6 : runner-up \| 2005 \| cincinnati \| hard \| roger federer \| 3-6, 5-7 row 7 : winner \| 2006 \| cincinnati (2) \| hard \| juan carlos ferrero \| 6-3, 6-4 row 8 : runner-up \| 2010 \| indian wells \| hard \| ivan ljubicic \| 6-7(3-7), 6-7(5-7 row 9 : winner \| 2010 \| miami (2) \| hard \| tomas berdych \| 7-5, 6-4 ] Execute this SQL based on the above table: select count ( * ) where score = opponent	0
[ header: no. \| train no: \| origin \| destination \| train name row 1 : 1 \| 56654 \| mangalore central \| kozhikode \| passenger row 2 : 2 \| 56324 \| mangalore central \| coimbatore city junction \| fast passenger row 3 : 3 \| 56656 \| mangalore central \| kannur \| passenger row 4 : 4 \| 56643/56645 \| mangalore central \| kabakaputtur \| passenger row 5 : 5 \| 56640 \| mangalore central \| verna \| passenger row 6 : 6 \| 56647 \| mangalore central \| subrahmanya road \| passenger row 7 : 7 \| 56661 \| mangalore central \| cheruvathur \| passenger row 8 : 8 \| 70106 \| mangalore central \| bhatkal \| demu ] Execute this SQL based on the above table: select train name where no. > 3 and train no: = 56661 and origin = 'mangalore central' order by no. limit 1	passenger
[ header: # \| title \| time \| lead vocals \| notes row 1 : 1 \| savior more than life \| 6:44 \| keisha grandy \| None row 2 : 2 \| whatcha lookin' 4 \| 4:25 \| darrell blair, dal \| None row 3 : 3 \| melodies from heaven \| 4:34 \| the family \| None row 4 : 4 \| conquerors \| 8:24 \| dalon collins \| None row 5 : 5 \| don't take your joy away \| 6:33 \| tamela mann \| None row 6 : 6 \| when i think about jesus \| 1:38 \| None \| None row 7 : 7 \| mama's song \| 4:16 \| kirk franklin \| None row 8 : 8 \| jesus paid it all \| 5:04 \| kirk franklin, darrell \| None row 9 : 9 \| i love you jesus \| 7:25 \| teresa young, stephani \| None row 10 : 10 \| washed away \| 5:20 \| jeannette johnson, carrie \| None row 11 : 11 \| where the spirit is \| 4:03 \| jon drummond \| None row 12 : 12 \| let me touch you \| 5:26 \| dalon collins \| None row 13 : 13 \| anything 4 u \| 5:08 \| david mann, yoland \| None row 14 : 14 \| whatcha lookin' 4 (remix) \| 4:36 \| kirk franklin, d \| drum & synth programming - buster row 15 : 15 \| melodies from heaven (skate remix \| 4:18 \| kirk franklin \| drum & synth programming - buster ] Execute this SQL based on the above table: select lead vocals order by title desc limit 1	jon drummond
[ header: year \| game \| developer \| setting \| platform \| notes row 1 : 1984 \| millionaire \| incentive software \| modern \| zx, bbc \| None row 2 : 1984 \| mugsy \| melbourne house \| historical \| zx \| None row 3 : 1992 \| patrician, the \| ascaron \| historical \| ami, dos, st \| first title in the series row 4 : 1993 \| dinopark tycoon \| mecc, manley & associates \| sci-fi \| 3do, dos, mac, win \| None row 5 : 1994 \| simhealth \| thinking tools \| modern \| dos \| None row 6 : 1994 \| simtower \| openbook \| modern \| mac, win3x, win9x \| None row 7 : 1995 \| kaiser deluxe \| linel \| historical \| dos, win \| remake of kaiser row 8 : 1997 \| herrscher der meere \| novatrix \| historical \| dos \| None row 9 : 1997 \| industry giant \| jowood \| modern \| win \| first title in the series row 10 : 1998 \| gangsters: organized crime \| hothouse \| historical \| win \| None row 11 : 1999 \| harvest moon 2 \| pack-in-video \| fantasy \| gbc \| sequel to harvest moon row 12 : 1999 \| x: beyond the frontier \| egosoft \| sci-fi \| win \| first title in the series row 13 : 2001 \| monopoly tycoon \| deep red \| modern \| win \| None row 14 : 2001 \| tv tycoon \| niels bauer \| modern \| win \| None row 15 : 2001 \| zoo tycoon \| blue fang \| modern \| ds, mac, win \| first title in the series row 16 : 2002 \| lemonade tycoon \| hexacto, jamdat \| modern \| palm, ppc, mobi, \| None row 17 : 2002 \| snowboard park tycoon \| cat daddy \| modern \| win \| None row 18 : 2003 \| atlantis underwater tycoon \| activision \| modern \| win \| None row 19 : 2003 \| casino, inc: the management \| hothouse \| modern \| win \| expansion to casino, inc row 20 : 2003 \| harvest moon: more friends of mineral town \| marvelous \| fantasy \| gba \| "female" version of harvest moon: row 21 : 2003 \| tropico 2: pirate cove \| frog city \| historical \| osx, win \| None row 22 : 2004 \| railroad tycoon 3: coast to \| poptop \| historical \| win \| expansion to railroad tycoon 3 row 23 : 2005 \| harvest moon ds \| marvelous \| fantasy \| ds \| None row 24 : 2006 \| anno 1701 \| related \| historical \| ds, win \| sequel to anno 1503: the new world row 25 : 2006 \| prison tycoon 2: maximum security \| virtual playground \| modern \| win \| sequel to prison tycoon row 26 : 2006 \| sid meier's railroads! \| firaxis \| historical \| win \| sequel to railroad tycoon 3 row 27 : 2006 \| tycoon city: new york \| deep red \| modern \| win \| None row 28 : 2007 \| catan \| big huge \| fantasy \| xbla \| None row 29 : 2008 \| x3: terran conflict \| egosoft \| sci-fi \| osx, win \| sequel to x3: reunion row 30 : 2010 \| gamebiz 3 \| velocigames \| modern \| win \| sequel to gamebiz 2 row 31 : 2011 \| tropico 4 \| haemimont games \| modern \| win, x360 \| None row 32 : 2011 \| anno 2070 \| related designs, ubisoft blue byte \| sci-fi \| win \| None row 33 : None \| jurassic genetics \| flaming nebula studios \| sci-fi \| win, mac \| None ] Execute this SQL based on the above table: select count ( game )	33
[ header: year \| title \| role \| notes row 1 : 1941 \| the maltese falcon \| kasper gutman \| nominated - academy award for best supporting row 2 : 1941 \| they died with their boots on \| lt. gen. winfield \| None row 3 : 1942 \| across the pacific \| dr. lorenz \| None row 4 : 1942 \| casablanca \| signor ferrari \| None row 5 : 1943 \| background to danger \| col. robinson \| None row 6 : 1944 \| passage to marseille \| major duval \| None row 7 : 1944 \| between two worlds \| rev. tim thompson \| None row 8 : 1944 \| the mask of dimitrios \| mr. peters \| None row 9 : 1944 \| the conspirators \| ricardo quintanilla \| None row 10 : 1944 \| hollywood canteen \| himself \| None row 11 : 1945 \| pillow to post \| col. michael otley \| None row 12 : 1945 \| conflict \| dr. mark hamilton \| None row 13 : 1945 \| christmas in connecticut \| alexander yardley \| None row 14 : 1946 \| three strangers \| jerome k. arbutny \| None row 15 : 1946 \| devotion \| william makepeace thacke \| None row 16 : 1946 \| the verdict \| supt. george e \| None row 17 : 1947 \| that way with women \| james p. alden \| None row 18 : 1947 \| the hucksters \| evan llewellyn \| None row 19 : 1948 \| the velvet touch \| capt. danbury \| None row 20 : 1948 \| ruthless \| buck mansfield \| None row 21 : 1948 \| the woman in white \| count alessandro fosco \| None row 22 : 1949 \| flamingo road \| sheriff titus semple \| None row 23 : 1949 \| malaya \| the dutchman \| None ] Execute this SQL based on the above table: select title where title < ( select title where title = 'ruthless' ) order by title desc limit 1	pillow to post
[ header: year \| driver \| nation of citizenship \| racing series \| type of vehicle row 1 : 1993 \| nigel mansell \| united kingdom \| formula one \| open wheel row 2 : 1994 \| nigel mansell \| united kingdom \| cart \| open wheel row 3 : 1995 \| al unser, jr \| united states \| cart \| open wheel row 4 : 1996 \| jeff gordon \| united states \| nascar \| stock car row 5 : 1997 \| jimmy vasser \| united states \| cart \| open wheel row 6 : 1998 \| jeff gordon \| united states \| nascar \| stock car row 7 : 1999 \| jeff gordon \| united states \| nascar \| stock car row 8 : 2000 \| dale jarrett \| united states \| nascar \| stock car row 9 : 2001 \| bobby labonte \| united states \| nascar \| stock car row 10 : 2002 \| michael schumacher \| germany \| formula one \| open wheel row 11 : 2003 \| tony stewart \| united states \| nascar \| stock car row 12 : 2004 \| dale earnhardt, jr \| united states \| nascar \| stock car row 13 : 2005 \| michael schumacher \| germany \| formula one \| open wheel row 14 : 2006 \| tony stewart \| united states \| nascar \| stock car row 15 : 2007 \| jeff gordon \| united states \| nascar \| stock car row 16 : 2008 \| jimmie johnson \| united states \| nascar \| stock car row 17 : 2009 \| jimmie johnson \| united states \| nascar \| stock car row 18 : 2010 \| jimmie johnson \| united states \| nascar \| stock car row 19 : 2011 \| jimmie johnson \| united states \| nascar \| stock car row 20 : 2012 \| tony stewart \| united states \| nascar \| stock car row 21 : 2013 \| ryan hunter-reay \| united states \| indycar series \| open wheel ] Execute this SQL based on the above table: select count ( * ) where racing series = 'cart'	3
[ header: games \| host city \| dates \| nations \| participants \| events row 1 : 1904 summer olympics \| st. louis, missouri \| 1 july - 23 november \| 12 \| 651 \| 91 row 2 : 1932 winter olympics \| lake placid, new york \| 7 - 15 february \| 17 \| 252 \| 14 row 3 : 1932 summer olympics \| los angeles, californi \| 30 july - 14 august \| 37 \| 1332 \| 117 row 4 : 1960 winter olympics \| squaw valley, californ \| 2 - 20 february \| 30 \| 665 \| 27 row 5 : 1980 winter olympics \| lake placid, new york \| 13 - 24 february \| 37 \| 1072 \| 38 row 6 : 1984 summer olympics \| los angeles, californi \| 20 july - 18 august \| 140 \| 6829 \| 221 row 7 : 1996 summer olympics \| atlanta, georgia \| 18 july - 4 august \| 197 \| 1318 \| 271 row 8 : 2002 winter olympics \| salt lake city, utah \| 8 - 24 february \| 77 \| 2399 \| 78 ] Execute this SQL based on the above table: select host city where host city in ( 'lake placid, new york' , 'salt lake city, utah' ) order by events desc limit 1	salt lake city, utah
[ header: manufacturer \| model \| first flight \| max payload (t) \| cruise (km/h) \| max range (km) \| mtow row 1 : airbus \| a330 mrtt \| 2007 \| 45 \| 860 \| 14,800 \| 223 row 2 : airbus \| a400m \| 2009 \| 37 \| 780 \| 9,300 \| 141 row 3 : alenia \| c-27j spartan \| 2008 \| 11.5 \| 583 \| 5,926 \| 31.8 row 4 : antonov \| an-12 \| 1957 \| 20 \| 777 \| 5,700 \| 61 row 5 : antonov \| an-22 antei \| 1965 \| 80 \| 740 \| 5,000 \| 250 row 6 : antonov \| an-26 \| 1969 \| 5.5 \| 440 \| 2,550 \| 24 row 7 : antonov \| an-32 \| 1976 \| 6.7 \| 480 \| 2,500 \| 26.9 row 8 : antonov \| an-70 \| 1994 \| 47 \| 729 \| 6,600 \| 145 row 9 : antonov \| an-72 \| 1977 \| 7.5 \| 600 \| 4,800 \| 33 row 10 : antonov \| an-124 ruslan \| 1982 \| 150 \| 800-850 \| 5,410 \| 405 row 11 : antonov \| an-225 mriya \| 1988 \| 250 \| 800 \| 15,400 \| 600 row 12 : avic \| y-8 \| 1974 \| 20 \| 550 \| 5,616 \| 61 row 13 : avic \| y-9 \| 2008 \| 25 \| 650 \| 7,800 \| 77 row 14 : avic \| y-20 \| 2013 \| 66 \| 700 \| 7,800 \| 220 row 15 : bell/boeing \| v-22 osprey \| 1989 \| 6.8 \| 396 \| 1,627 \| 27.4 row 16 : boeing \| c-17 globemaster iii \| 1991 \| 77.5 \| 830 \| 4,482 \| 265 row 17 : casa \| c-212 aviocar \| 1971 \| 2.8 \| 315 \| 1,433 \| 8 row 18 : casa/indonesian aerospace \| cn-235 \| 1983 \| 5 \| 509 \| 5,003 \| 15.1 row 19 : casa \| c-295 \| 1998 \| 9.3 \| 481 \| 5,630 \| 23.2 row 20 : de havilland canada \| c-7 caribou \| 1958 \| 3.6 \| 348 \| 2,103 \| 14.2 row 21 : douglas \| c-47 \| 1943 \| 3 \| 360 \| 2,600 \| 10.5 row 22 : grumman \| c-2 greyhound \| 1964 \| 4.5 \| 465 \| 2,400 \| 24.7 row 23 : embraer \| kc-390 \| 2014 \| 23 \| 900 \| 6,200 \| 72 row 24 : fairchild \| c-123 provider \| 1949 \| 11 \| 367 \| 1,666 \| 27 row 25 : ilyushin \| il-76 \| 1971 \| 47 \| 900 \| 4,400 \| 210 row 26 : ilyushin \| il-112 \| 2011 \| 5.9 \| 550 \| 5,000 \| 20 row 27 : kawasaki \| c-1 \| 1970 \| 11.9 \| 657 \| 1,300 \| 45 row 28 : kawasaki \| xc-2 \| 2010 \| 37.6 \| 890 \| 6,500 \| 120 row 29 : lockheed \| c-5 galaxy \| 1968 \| 122 \| 907 \| 4,445 \| 381 row 30 : lockheed \| c-130 hercules \| 1954 \| 20 \| 540 \| 3,800 \| 70.3 row 31 : lockheed \| c-141 starlifter \| 1963 \| 45 \| 912 \| 9,880 \| 147 row 32 : pzl mielec \| m-28 skytruck \| 1993 \| 2.5 \| 270 \| 1,500 \| 8 row 33 : short brothers \| c-23 sherpa \| 1982 \| 3.2 \| 296 \| 1,239 \| 3.2 row 34 : transport allianz \| transall c-160 \| 1963 \| 16 \| 513 \| 1,850 \| 49.2 row 35 : uac and hal \| uac/hal multirole transport \| 2015 \| 22 \| 830 \| 2,500 \| 68 ] Execute this SQL based on the above table: select manufacturer where mtow = 220	avic
[ header: # \| picture \| name \| took office \| left office \| party row 1 : 1 \| None \| johan ferrier \| 25 november 1975 \| 13 august 1980 (resigned after a febr \| independent row 2 : 2 \| None \| hendrick chin a s \| 15 august 1980 \| 4 february 1982 \| pnr row 3 : 3 \| None \| fred ramdat misier \| 8 february 1982 \| 25 january 1988 \| independent row 4 : 4 \| 60px \| ramsewak shankar \| 25 january 1988 \| 24 december 1990 (deposed) \| vhp row 5 : 5 \| 60px \| johan kraag \| 29 december 1990 \| 16 september 1991 \| nps row 6 : 6 \| None \| ronald venetiaan \| 16 september 1991 \| 15 september 1996 \| nps row 7 : 7 \| None \| jules wijdenbosch \| 15 september 1996 \| 12 august 2000 \| ndp row 8 : (6) \| None \| ronald venetiaan \| 12 august 2000 \| 12 august 2010 \| nps row 9 : 8 \| None \| desi bouterse \| 12 august 2010 \| incumbent \| ndp ] Execute this SQL based on the above table: select picture where party = 'nps'	60
[ header: week \| date \| opponent \| result \| record \| game site \| bye row 1 : 1 \| march 31, 2006 \| louisville fire \| w 45-37 \| 1-0 \| wachovia arena \| 0 row 2 : 2 \| None \| None \| None \| None \| None \| 1 row 3 : 3 \| april 14, 2006 \| albany conquest \| w 55-48 (ot) \| 2-0 \| times union center \| 0 row 4 : 4 \| april 21, 2006 \| south georgia wildcats \| w 36-33 \| 3-0 \| wachovia arena \| 0 row 5 : 5 \| april 29, 2006 \| manchester wolves \| w 62-47 \| 4-0 \| verizon wireless arena \| 0 row 6 : 6 \| may 5, 2006 \| green bay blizzard \| w 42-27 \| 5-0 \| wachovia arena \| 0 row 7 : 7 \| may 13, 2006 \| tulsa talons \| l 53-37 \| 5-1 \| wachovia arena \| 0 row 8 : 8 \| may 20, 2006 \| macon knights \| w 38-22 \| 6-1 \| macon coliseum \| 0 row 9 : 9 \| may 27, 2006 \| manchester wolves \| l 48-28 \| 6-2 \| wachovia arena \| 0 row 10 : 10 \| june 3, 2006 \| louisville fire \| w 51-48 \| 7-2 \| freedom hall \| 0 row 11 : 11 \| june 10, 2006 \| albany conquest \| l 73-70 \| 7-3 \| times union center \| 0 row 12 : 12 \| june 17, 2006 \| quad city steamwheelers \| w 55-52 \| 8-3 \| wachovia arena \| 0 row 13 : 13 \| june 24, 2006 \| green bay blizzard \| l 65-35 \| 8-4 \| resch center \| 0 row 14 : 14 \| None \| None \| None \| None \| None \| 1 row 15 : 15 \| july 8, 2006 \| florida firecats \| l 56-51 \| 8-5 \| wachovia arena \| 0 row 16 : 16 \| july 14, 2006 \| manchester wolves \| l 45-14 \| 8-6 \| verizon wireless arena \| 0 row 17 : 17 \| july 22, 2006 \| quad city steamwheelers \| l 55-34 \| 8-7 \| i wireless center \| 0 row 18 : 18 \| july 29, 2006 \| albany conquest \| w 54-27 \| 9-7 \| wachovia arena \| 0 ] Execute this SQL based on the above table: select count ( * ) where result = 'w 51-48'	1
[ header: player \| year \| round \| result \| opponent row 1 : raymond van barneveld \| 2009 \| quarter-final \| won \| jelle klaasen row 2 : raymond van barneveld \| 2010 \| 2nd round \| won \| brendan dolan row 3 : adrian lewis \| 2011 \| final \| won \| gary anderson row 4 : dean winstanley \| 2013 \| 2nd round \| lost \| vincent van der voort row 5 : michael van gerwen \| 2013 \| semi final \| won \| james wade row 6 : terry jenkins \| 2014 \| 1st round \| lost \| per laursen row 7 : kyle anderson \| 2014 \| 1st round \| lost \| ian white ] Execute this SQL based on the above table: select year where player = 'kyle anderson' and year = 2014	2014
[ header: # \| date \| visitor \| score \| home \| record \| pts row 1 : 1 \| december 27 \| toronto \| 7-1 \| montreal canadiens \| 1-0-0 \| 2 row 2 : 2 \| december 30 \| quebec bulldogs \| 5-8 \| toronto \| 2-0-0 \| 4 row 3 : 3 \| january 3 \| toronto 228th battalion \| 4-9 \| toronto \| 2-1-0 \| 4 row 4 : 4 \| january 6 \| toronto \| 2-3 \| ottawa senators \| 2-2-0 \| 4 row 5 : 5 \| january 10 \| montreal wanderers \| 4-9 \| toronto \| 3-2-0 \| 6 row 6 : 6 \| january 13 \| montreal canadiens \| 6-2 \| toronto \| 3-3-0 \| 6 row 7 : 7 \| january 17 \| toronto \| 5-1 \| quebec bulldogs \| 4-3-0 \| 8 row 8 : 8 \| january 20 \| toronto \| 6-8 \| toronto 228th battalion \| 4-4-0 \| 8 row 9 : 9 \| january 24 \| ottawa senators \| 5-8 \| toronto \| 5-4-0 \| 10 row 10 : 10 \| january 27 \| toronto \| 3-8 \| montreal wanderers \| 5-5-0 \| 10 ] Execute this SQL based on the above table: select visitor order by pts desc limit 1	ottawa senators
[ header: pennant \| name \| hull builder \| ordered \| laid down \| launched \| accepted into service \| commissioned \| est. building cost \| fate row 1 : f169 \| amazon \| vosper thornycroft, woolston \| 26 march 1969 \| 6 november 1969 \| 26 april 1971 \| 19 july 1974 \| 11 may 1974 \| £16.8m \| to pakistan as babur row 2 : f170 \| antelope \| vosper thornycroft \| 11 may 1970 \| 23 march 1971 \| 16 march 1972 \| 30 june 1975 \| 16 july 1975 \| £14.4m \| bombed by argentine a-4 row 3 : f172 \| ambuscade \| yarrow shipbuilders, scot \| 11 november 1971 \| 1 september 1971 \| 18 january 1973 \| 23 august 1975 \| 5 september 1975 \| £16.5m \| to pakistan as tariq row 4 : f173 \| arrow \| ysl \| 11 november 1971 \| 28 september 1972 \| 5 february 1974 \| 16 may 1975 \| 29 july 1976 \| £20.2m \| to pakistan as khaibar row 5 : f171 \| active \| vosper thornycroft \| 11 may 1970 \| 21 july 1971 \| 23 november 1972 \| 2 june 1977 \| 17 june 1977 \| £24.1m \| to pakistan as shah ja row 6 : f174 \| alacrity \| ysl \| 11 november 1971 \| 5 march 1973 \| 18 september 1974 \| 2 april 1977 \| 2 july 1977 \| £23.8m \| to pakistan as badr row 7 : f184 \| ardent \| ysl \| 11 november 1971 \| 26 february 1974 \| 9 may 1975 \| 10 september 1977 \| 14 october 1977 \| £26.3m \| bombed by argentine a-4 row 8 : f185 \| avenger \| ysl \| 11 november 1971 \| 30 october 1974 \| 20 november 1975 \| 15 april 1978 \| 15 april 1978 \| £27.7m \| to pakistan as tippu s ] Execute this SQL based on the above table: select count ( * ) where est. building cost >= 4	8
[ header: team \| winners \| runners-up \| years won \| years lost row 1 : bayern munich \| 5 \| 4 \| 1982, 1987, 1990, 2010, 2012 \| 1989, 1994, 2008, 2013 row 2 : borussia dortmund \| 5 \| 2 \| 1989, 1995, 1996, 2008, 2013 \| 2011, 2012 row 3 : werder bremen \| 4 \| 1 \| 1988, 1993, 1994, 2009 \| 1991 row 4 : kaiserslautern \| 1 \| 2 \| 1991 \| 1990, 1996 row 5 : schalke 04 \| 1 \| 2 \| 2011 \| 1940, 2010 row 6 : borussia monchengladbach \| 1 \| 1 \| 1977 \| 1995 row 7 : stuttgart \| 1 \| 0 \| 1992 \| None row 8 : dresdner sc \| 1 \| 0 \| 1940 \| None row 9 : hamburg \| 0 \| 3 \| None \| 1977, 1982, 1987 row 10 : eintracht frankfurt \| 0 \| 1 \| None \| 1988 row 11 : hannover 96 \| 0 \| 1 \| None \| 1992 row 12 : bayer leverkusen \| 0 \| 1 \| None \| 1993 row 13 : wolfsburg \| 0 \| 1 \| None \| 2009 ] Execute this SQL based on the above table: select years won where years won <= 285	1982, 1987, 1990, 2010, 2012, 1989, 1995, 1996, 2008, 2013, 1988, 1993, 1994, 2009, 1991, 2011, 1977, 1992, 1940
[ header: original work \| liszt work \| forces \| date \| s no. \| notes row 1 : opera lucrezia borgia (1833 \| reminiscences de lucrezi \| piano \| 1840 \| s.400 \| the sections are: (1) trio du second acte row 2 : opera lucia di lammermoor (18 \| reminiscences de luci \| piano \| 1835-36 \| s.397 \| based on the sextet row 3 : opera lucia di lammermoor (18 \| marche et cavatine de luci \| piano \| 1835-36 \| s.398 \| intended as part of the reminisc row 4 : lucia di lammermoor \| valse a capriccio \| piano \| 1842 \| s.401 \| combines motifs from lucia di la row 5 : opera parisina (1833) \| valse a capriccio \| piano \| 1842 \| s.401 \| combines motifs from lucia di la row 6 : nuits d'ete a \| nuits d'ete a \| piano \| 1838 \| s.399 \| None row 7 : opera la favorite (1840): duettin \| spirito gentil \| piano \| 1847 \| s.400a \| possibly same as s.742 row 8 : opera dom sebastien (1843): \| marche funebre de dom sebastien \| piano \| 1844 \| s.402 \| None row 9 : act iv \| paraphrase \| piano \| None \| s.744 \| lost; this was based on theodor row 10 : "duettino" \| transcription \| piano \| None \| s.742 \| lost. possibly same as s.400a ] Execute this SQL based on the above table: select count ( * ) where s no. = 'reminiscences de lucia di lammermoor'	0
[ header: rank \| country \| winners \| runners-up \| finals total row 1 : 1 \| spain \| 17 \| 8 \| 25 row 2 : 2 \| germany east germany \| 11 1 12 \| 10 3 13 \| 21 4 25 row 3 : 3 \| soviet union russia \| 2 1 3 \| 1 0 1 \| 3 1 4 row 4 : 4 \| hungary \| 2 \| 3 \| 5 row 5 : 5 \| belarus \| 2 \| 0 \| 2 row 6 : 6 \| france \| 1 \| 3 \| 4 row 7 : 7 \| sweden \| 0 \| 2 \| 2 row 8 : 8 \| bosnia & herzegov \| 0 \| 1 \| 1 row 9 : 8 \| croatia \| 0 \| 1 \| 1 row 10 : 8 \| czech republic \| 0 \| 1 \| 1 row 11 : 8 \| denmark \| 0 \| 1 \| 1 row 12 : 8 \| romania \| 0 \| 1 \| 1 row 13 : 8 \| serbia \| 0 \| 1 \| 1 row 14 : 8 \| switzerland \| 0 \| 1 \| 1 row 15 : total \| total \| 37 \| 37 \| 74 ] Execute this SQL based on the above table: select count ( distinct country )	15