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symbolic-instruction-tuning-sql

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train · 200k rows

inputs stringlengths 291 3.71k	targets stringlengths 1 2.65k
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| india \| 102 \| 58 \| 37 \| 197 row 2 : 2 \| nepal \| 32 \| 10 \| 24 \| 65 row 3 : 3 \| sri lanka \| 16 \| 42 \| 62 \| 120 row 4 : 4 \| pakistan \| 10 \| 36 \| 30 \| 76 row 5 : 5 \| bangladesh \| 2 \| 10 \| 35 \| 47 row 6 : 6 \| bhutan \| 1 \| 6 \| 7 \| 14 row 7 : 7 \| maldives \| 0 \| 0 \| 4 \| 4 ] Execute this SQL based on the above table: select count ( * ) where rank < ( select rank where nation = 'nepal' )	1
[ header: year \| group \| award \| result \| notes row 1 : 1994 \| venice film festival \| best actor \| won \| before the rain (1994 film) row 2 : 1996 \| new zealand film and tv \| best foreign performer \| won \| broken english (1996 film) row 3 : 2006 \| monaco international film festival \| best actor \| won \| short order row 4 : 2007 \| rome film fest \| best actor \| won \| fugitive pieces (film) row 5 : 2008 \| satellite awards \| best actor in a supporting role \| nominated \| fugitive pieces (film) row 6 : 2008 \| vancouver film critics circle \| best supporting actor in a canadian film \| nominated \| fugitive pieces (film) row 7 : 2009 \| genie awards \| best performance by an actor in a supporting role \| nominated \| fugitive pieces (film) row 8 : 2012 \| tetouan international mediterra \| best actor \| won \| io sono li ] Execute this SQL based on the above table: select group order by result desc limit 1	venice film festival
[ header: week \| date \| song title \| performer \| album title \| performer row 1 : 1 \| 3 january 2014 \| "timber" \| pitbull feat. ke$ha \| true \| avicii row 2 : 2 \| 10 january 2014 \| "timber" \| pitbull feat. ke$ha \| true \| avicii row 3 : 3 \| 17 january 2014 \| "i see fire" \| ed sheeran \| high hopes \| bruce springsteen row 4 : 4 \| 24 january 2014 \| "i see fire" \| ed sheeran \| high hopes \| bruce springsteen row 5 : 5 \| 31 january 2014 \| "i see fire" \| ed sheeran \| true \| avicii row 6 : 6 \| 7 february 2014 \| "i see fire" \| ed sheeran \| sjunger sinatra \| christer sjogren row 7 : 7 \| 14 february 2014 \| "i see fire" \| ed sheeran \| sjunger sinatra \| christer sjogren row 8 : 8 \| 21 february 2014 \| "i see fire" \| ed sheeran \| true \| avicii row 9 : 9 \| 28 february 2014 \| "i see fire" \| ed sheeran \| true \| avicii row 10 : 10 \| 7 march 2014 \| "busy doin' nothin'" \| ace wilder \| true \| avicii row 11 : 11 \| 14 march 2014 \| "busy doin' nothin'" \| ace wilder \| true \| avicii row 12 : 12 \| 21 march 2014 \| "busy doin' nothin'" \| ace wilder \| all turns red \| takida row 13 : 13 \| 28 march 2014 \| "busy doin' nothin'" \| ace wilder \| together we stand alone \| yohio ] Execute this SQL based on the above table: select count ( album title ) where date = '14 march 2014'	1
[ header: \| \| \| \| \| \| \| \| row 1 : ccc \| ieee conference on computational complexity \| 1993 \| 1996 \| 1999 \| None \| 2007 \| 2011 \| 2015 row 2 : ec \| acm conference on electronic commerce \| None \| None \| None \| 2003 \| 2007 \| 2011 \| 2015 row 3 : isca \| acm/ieee international \| 1993 \| 1996 \| 1999 \| 2003 \| 2007 \| 2011 \| 2015 row 4 : lctes \| acm sigplan/sigbed \| None \| None \| 1999 \| 2003 \| 2007 \| None \| None row 5 : metrics \| acm sigmetrics international conference \| None \| 1996 \| 1999 \| 2003 \| 2007 \| None \| 2015 row 6 : pldi \| acm sigplan conference on programming \| None \| 1996 \| 1999 \| 2003 \| 2007 \| 2011 \| 2015 row 7 : podc \| acm symposium on principles of distributed computing \| None \| 1996 \| 1999 \| None \| None \| 2011 \| None row 8 : ppopp \| acm sigplan symposium on principles \| 1993 \| None \| 1999 \| 2003 \| None \| None \| None row 9 : spaa \| acm symposium on parallelism in \| None \| None \| None \| 2003 \| 2007 \| 2011 \| 2015 row 10 : socg \| acm symposium on computational geometry \| 1993 \| 1996 \| None \| 2003 \| None \| None \| None row 11 : stoc \| acm symposium on theory of computing \| 1993 \| 1996 \| 1999 \| 2003 \| 2007 \| 2011 \| 2015 ] Execute this SQL based on the above table: select order by limit 1	acm sigplan/sigbed conference on languages, compilers, and tools for embedded systems
[ header: name(s) \| yard no. \| type (as built) \| owner \| imo number \| laid down \| launched \| delivered/ commissioned \| fate/ decommissioned \| notes row 1 : sally \| 100 \| yacht \| lyman \| \| None \| None \| None \| None \| None row 2 : caprice \| 101 \| yacht \| robinson \| \| None \| None \| None \| None \| None row 3 : eleanor \| 103 \| yacht \| clapp \| \| None \| None \| None \| None \| None row 4 : uss lawrence (dd-8) \| 104 \| bainbridge-class destroyer \| u.s. navy \| \| 10 april 1899 \| 7 november 1900 \| 7 april 1903 \| 20 june 1919 \| sold to joseph g. hit row 5 : uss macdonough (dd-9) \| 105 \| bainbridge-class destroyer \| u.s. navy \| \| 10 april 1899 \| 24 december 1900 \| 5 september 1903 \| 3 september 1919 \| sold to joseph g. hit row 6 : jule \| 106 \| yacht \| j. arthur \| \| None \| None \| 12 june 1899 \| None \| None row 7 : united states lightship lv-72 \| 107 \| lightvessel \| u.s lighthouse board \| \| None \| None \| 13 february 1901 \| None \| None ] Execute this SQL based on the above table: select yard no. order by yard no. desc limit 1	107.0
[ header: year \| single \| peak chart positions us mod \| peak chart positions uk \| album row 1 : 1997 \| "automatic" \| None \| None \| losing streak row 2 : 1997 \| "dopeman" \| None \| None \| losing streak row 3 : 1997 \| "dopeman" (remix) \| None \| None \| non-album single row 4 : 1997 \| "howie j. rey \| None \| None \| non-album single row 5 : 1998 \| "history of a boring town" \| 39 \| None \| hello rockview row 6 : 2000 \| "all my best friends are metalheads" \| None \| 51 \| hello rockview row 7 : 2000 \| "all my best friends are metalheads" \| None \| None \| non-album single row 8 : 2001 \| "gainesville rock city" \| None \| 57 \| borders & boundaries row 9 : 2003 \| "she's gonna break soon" \| None \| 39 \| anthem row 10 : 2003 \| "the science of selling yourself short" \| 36 \| 78 \| anthem row 11 : 2003 \| "surrender" \| None \| None \| anthem row 12 : 2006 \| "overrated (everything is)" \| None \| 61 \| in with the out crowd row 13 : 2006 \| "the rest of my life" \| None \| 77 \| in with the out crowd row 14 : 2008 \| "does the lion city still \| None \| None \| gnv fla row 15 : 2008 \| "abandon ship" \| None \| None \| gnv fla ] Execute this SQL based on the above table: select peak chart positions us mod order by peak chart positions us mod desc limit 1	39
[ header: year \| division \| league \| reg. season \| playoffs \| open cup row 1 : 1998 \| 3 \| usisl d-3 pro league \| 3rd, northeast \| division semifinals \| 2nd round row 2 : 1999 \| 3 \| usl d-3 pro league \| 1st, northern \| champion \| did not qualify row 3 : 2000 \| 3 \| usl d-3 pro league \| 5th, northern \| conference finals \| did not qualify row 4 : 2001 \| 3 \| usl d-3 pro league \| 7th, northern \| did not qualify \| did not qualify row 5 : 2002 \| 3 \| usl d-3 pro league \| 1st, northern \| quarterfinals \| did not qualify row 6 : 2003 \| 3 \| usl pro select league \| 3rd, northern \| did not qualify \| did not qualify row 7 : 2004 \| 3 \| usl pro soccer league \| 3rd, northern \| did not qualify \| 2nd round row 8 : 2005 \| 3 \| usl second division \| 1st \| final \| 3rd round row 9 : 2006 \| 3 \| usl second division \| 6th \| did not qualify \| did not qualify row 10 : 2007 \| 3 \| usl second division \| 6th \| did not qualify \| 2nd round row 11 : 2008 \| 3 \| usl second division \| 6th \| quarterfinals \| 2nd round row 12 : 2009 \| 3 \| usl second division \| 7th \| did not qualify \| 2nd round row 13 : 2010 \| 4 \| usl pdl \| 6th, northeast \| did not qualify \| did not qualify row 14 : 2011 \| 4 \| usl pdl \| 3rd, northeast \| did not qualify \| 1st round row 15 : 2012 \| 4 \| usl pdl \| 3rd, northeast \| did not qualify \| did not qualify row 16 : 2013 \| 4 \| usl pdl \| 4th, northeast \| did not qualify \| did not qualify ] Execute this SQL based on the above table: select reg. season where id = ( select id where reg. season = '3rd, northern' ) + 1	3rd, northern
[ header: week \| date \| opponent \| score \| result \| attendance \| record row 1 : 1 \| thursday, aug 11 \| vs. winnipeg blue \| 35-21 \| loss \| 31837 \| 0-1 row 2 : 2 \| monday, aug 15 \| at edmonton eskimos \| 33-14 \| loss \| 17500 \| 0-2 row 3 : 3 \| saturday, aug 20 \| vs. saskatche \| 27-12 \| win \| 29532 \| 1-2 row 4 : 4 \| monday, aug 22 \| at calgary stampeders \| 26-19 \| win \| None \| 2-2 row 5 : 5 \| monday, aug 29 \| vs. edmonton \| 26-0 \| loss \| 28420 \| 2-3 row 6 : 6 \| thursday, sept 1 \| at winnipeg blue bombers \| 19-14 \| loss \| 18297 \| 2-4 row 7 : 7 \| monday, sept 5 \| at saskatchewan roughrid \| 31-21 \| win \| 14105 \| 3-4 row 8 : 8 \| monday, sept 12 \| vs. calgary stampeders \| 21-21 \| tie \| 27759 \| 3-4-1 row 9 : 9 \| saturday, sept 17 \| vs. winnipeg blue \| 26-14 \| loss \| 30292 \| 3-5-1 row 10 : 10 \| monday, sept 19 \| at edmonton eskimos \| 18-10 \| loss \| None \| 3-6-1 row 11 : 11 \| saturday, sept 24 \| at calgary stampeders \| 28-14 \| loss \| 13000 \| 3-7-1 row 12 : 12 \| thursday, oct 6 \| vs. edmonton \| 21-13 \| win \| 21707 \| 4-7-1 row 13 : 13 \| thursday, oct 13 \| at winnipeg blue bombers \| 49-21 \| loss \| 16773 \| 4-8-1 row 14 : 14 \| saturday, oct 15 \| at saskatchewan roughrid \| 14-14 \| tie \| 7255 \| 4-8-2 row 15 : 15 \| saturday, oct 22 \| vs. calgary stampeders \| 22-10 \| loss \| 29599 \| 4-9-2 row 16 : 16 \| saturday, oct 29 \| vs. saskatche \| 38-0 \| win \| 21114 \| 5-9-2 ] Execute this SQL based on the above table: select count ( * ) where score = '26-14'	1
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| china (chn) \| 71 \| 39 \| 35 \| 145 row 2 : 2 \| south korea (kor) \| 45 \| 30 \| 31 \| 106 row 3 : 3 \| thailand (tha) \| 17 \| 22 \| 18 \| 57 row 4 : 4 \| singapore (sin) \| 14 \| 18 \| 21 \| 53 row 5 : 5 \| japan (jpn) \| 12 \| 11 \| 10 \| 33 row 6 : 6 \| hong kong (hkg) \| 7 \| 13 \| 18 \| 38 row 7 : 7 \| india (ind) \| 8 \| 7 \| 10 \| 25 row 8 : 8 \| chinese taipei \| 7 \| 13 \| 20 \| 40 row 9 : 9 \| kazakhstan (kaz) \| 5 \| 10 \| 12 \| 27 row 10 : 10 \| north korea (prk) \| 5 \| 6 \| 9 \| 20 row 11 : 11 \| vietnam (vie) \| 5 \| 6 \| 2 \| 13 row 12 : 12 \| malaysia (mas) \| 4 \| 6 \| 8 \| 18 row 13 : 13 \| kuwait (kuw) \| 4 \| 3 \| 5 \| 12 row 14 : 14 \| philippines (phi) \| 2 \| 4 \| 1 \| 7 row 15 : 15 \| iran (iri) \| 1 \| 9 \| 4 \| 14 row 16 : 16 \| qatar (qat) \| 1 \| 4 \| 0 \| 5 row 17 : 17 \| uzbekistan (uzb \| 1 \| 2 \| 8 \| 11 row 18 : 18 \| indonesia (ina) \| 1 \| 2 \| 3 \| 6 row 19 : 19 \| saudi arabia (ksa) \| 1 \| 1 \| 2 \| 4 row 20 : 20 \| yemen (yem) \| 1 \| 0 \| 1 \| 2 row 21 : 21 \| syria (syr \| 1 \| 0 \| 0 \| 1 row 22 : 22 \| sri lanka (sr \| 0 \| 2 \| 7 \| 9 row 23 : 23 \| iraq (irq) \| 0 \| 1 \| 1 \| 2 row 24 : 23 \| macau (mac) \| 0 \| 1 \| 1 \| 2 row 25 : 23 \| tajikistan (tjk) \| 0 \| 1 \| 1 \| 2 row 26 : 26 \| jordan (jor) \| 0 \| 0 \| 3 \| 3 row 27 : 26 \| mongolia (mgl) \| 0 \| 0 \| 3 \| 3 row 28 : 28 \| bahrain (brn) \| 0 \| 0 \| 2 \| 2 row 29 : 29 \| kyrgyzstan (kgz \| 0 \| 0 \| 1 \| 1 row 30 : 29 \| myanmar (mya) \| 0 \| 0 \| 1 \| 1 row 31 : 29 \| pakistan (pak) \| 0 \| 0 \| 1 \| 1 row 32 : total \| total \| 213 \| 211 \| 239 \| 663 ] Execute this SQL based on the above table: select rank order by gold desc limit 1	total
[ header: election year \| # of constituency votes \| # of party list votes \| % of party list votes \| # of overall seats won \| +/- row 1 : 1949 \| None \| 6934975 \| 29.2 \| 131 / 402 \| None row 2 : 1953 \| 8131257 \| 7944943 \| 28.8 \| 162 / 509 \| 22 row 3 : 1957 \| 11975400 \| 11875339 \| 39.7 \| 181 / 519 \| 19 row 4 : 1961 \| 11672057 \| 11427355 \| 36.2 \| 203 / 521 \| 22 row 5 : 1965 \| 12998474 \| 12813186 \| 39.3 \| 217 / 518 \| 14 row 6 : 1969 \| 14402374 \| 14065716 \| 42.7 \| 237 / 518 \| 20 row 7 : 1972 \| 18228239 \| 17175169 \| 45.8 \| 242 / 518 \| 5 row 8 : 1976 \| 16471321 \| 16099019 \| 42.6 \| 224 / 518 \| 18 row 9 : 1980 \| 16808861 \| 16260677 \| 42.9 \| 218 / 497 \| 6 row 10 : 1983 \| 15686033 \| 14865807 \| 38.2 \| 193 / 498 \| 25 row 11 : 1987 \| 14787953 \| 14025763 \| 37 \| 186 / 497 \| 7 row 12 : 1990 \| 16279980 \| 15545366 \| 33.5 \| 239 / 662 \| 53 row 13 : 1994 \| 17966813 \| 17140354 \| 36.4 \| 252 / 672 \| 13 row 14 : 1998 \| 21535893 \| 20181269 \| 40.9 \| 298 / 669 \| 43 row 15 : 2002 \| 20059967 \| 18484560 \| 38.5 \| 251 / 603 \| 47 row 16 : 2005 \| 18129100 \| 16194665 \| 34.2 \| 222 / 614 \| 29 row 17 : 2009 \| 12077437 \| 9988843 \| 23 \| 146 / 620 \| 76 row 18 : 2013 \| 12835933 \| 11247283 \| 25.7 \| 193 / 631 \| 42 ] Execute this SQL based on the above table: select election year where # of overall seats won = '218 / 497'	1980
[ header: season \| level \| division \| section \| position \| movements row 1 : 1993 \| tier 3 \| division 2 \| vastra gotaland \| 1st \| None row 2 : 1994 \| tier 2 \| division 1 \| sodra \| 7th \| None row 3 : 1995 \| tier 2 \| division 1 \| sodra \| 5th \| None row 4 : 1996 \| tier 2 \| division 1 \| sodra \| 2nd \| promoted row 5 : 1997 \| tier 1 \| allsvenskan \| None \| 14th \| panos ljungskile s row 6 : 1998 \| tier 2 \| division 1 \| sodra \| 6th \| panos ljungskile s row 7 : 1999 \| tier 2 \| division 1 \| sodra \| 4th \| panos ljungskile s row 8 : 2000 \| tier 2 \| superettan \| None \| 15th \| panos ljungskile s row 9 : 2001 \| tier 3 \| division 2 \| vastra gotaland \| 1st \| panos ljungskile s row 10 : 2002 \| tier 3 \| division 2 \| vastra gotaland \| 6th \| panos ljungskile s row 11 : 2003 \| tier 3 \| division 2 \| vastra gotaland \| 2nd \| None row 12 : 2004 \| tier 3 \| division 2 \| vastra gotaland \| 1st \| promotion playoffs - promoted row 13 : 2005 \| tier 2 \| superettan \| None \| 4th \| None row 14 : 2006 \| tier 2 \| superettan \| None \| 6th \| None row 15 : 2007 \| tier 2 \| superettan \| None \| 2nd \| promoted row 16 : 2008 \| tier 1 \| allsvenskan \| None \| 14th \| relegation playoffs - re row 17 : 2009 \| tier 2 \| superettan \| None \| 9th \| None row 18 : 2010 \| tier 2 \| superettan \| None \| 6th \| None row 19 : 2011 \| tier 2 \| superettan \| None \| 8th \| None row 20 : 2012 \| tier 2 \| superettan \| None \| 5th \| None row 21 : 2013 \| tier 2 \| superettan \| None \| 9th \| None ] Execute this SQL based on the above table: select movements where season = 1998 and section = ( select section where movements = 'panos ljungskile sk' )	panos ljungskile sk
[ header: date \| winner \| runner-up \| result \| site \| attendance row 1 : february 11, 1978 \| #2 maryland \| #1 nc state \| 89-82 \| charlottesville, virginia \| 1500 row 2 : february 10, 1979 \| #1 maryland \| #2 nc state \| 75-73 \| raleigh, north carolina \| 3500 row 3 : february 10, 1980 \| #1 nc state \| #2 maryland \| 85-75 \| college park, maryland \| None row 4 : february 14, 1981 \| #3 maryland \| #4 nc state \| 64-63 \| clemson, south carolina \| 300 row 5 : march 6, 1983 \| #3 maryland \| #1 nc state \| 84-81 \| fayetteville, north carolin \| 2134 row 6 : march 4, 1984 \| #5 north carolina \| #3 nc state \| 99-76 \| fayetteville, north carolin \| 3733 row 7 : march 3, 1986 \| #5 maryland \| #2 north carolina \| 92-74 \| fayetteville, north carolin \| 2632 row 8 : march 2, 1987 \| #2 nc state \| #1 virginia \| 57-56 \| fayetteville, north carolin \| 2987 row 9 : march 7, 1988 \| #2 maryland \| #1 virginia \| 76-70 \| fayetteville, north carolin \| 1223 row 10 : march 4, 1991 \| #3 nc state \| #4 clemson \| 84-61 \| fayetteville, north carolin \| 4102 row 11 : march 9, 1992 \| #1 virginia \| #7 georgia tech \| 70-69 \| rock hill, south carolina \| 4154 row 12 : march 8, 1993 \| #1 virginia \| #2 maryland \| 106-103 3ot \| rock hill, south carolina \| 3716 row 13 : march 7, 1994 \| #2 north carolina \| #1 virginia \| 77-60 \| rock hill, south carolina \| 4386 row 14 : march 5, 1995 \| #2 north carolina \| #4 duke \| 95-70 \| rock hill, south carolina \| 5724 row 15 : march 2, 1997 \| #1 north carolina \| #6 clemson \| 62-58 \| charlotte, north carolina \| 5543 row 16 : march 1, 1998 \| #4 north carolina \| #2 clemson \| 81-50 \| charlotte, north carolina \| 5534 row 17 : march 5, 2001 \| #1 duke \| #3 nc state \| 57-45 \| greensboro, north carolina \| 8933 row 18 : march 4, 2002 \| #1 duke \| #2 north carolina \| 87-80 \| greensboro, north carolina \| 9204 row 19 : march 10, 2003 \| #1 duke \| #2 north carolina \| 77-59 \| greensboro, north carolina \| 11127 row 20 : march 7, 2005 \| #1 north carolina \| #2 duke \| 88-67 \| greensboro, north carolina \| 11578 row 21 : march 5, 2006 \| #1 north carolina \| #3 maryland \| 91-80 \| greensboro, north carolina \| 10746 row 22 : march 4, 2007 \| #2 north carolina \| #4 nc state \| 60-54 \| greensboro, north carolina \| 11538 row 23 : march 9, 2008 \| #1 north carolina \| #3 duke \| 86-73 \| greensboro, north carolina \| 11132 row 24 : march 7, 2010 \| #1 duke \| #6 nc state \| 70-60 \| greensboro, north carolina \| 9432 row 25 : march 6, 2011 \| #1 duke \| #6 north carolina \| 81-67 \| greensboro, north carolina \| 9890 row 26 : march 4, 2012 \| #3 maryland \| #4 georgia tech \| 68-65 \| greensboro, north carolina \| 9122 row 27 : march 10, 2013 \| #1 duke \| #3 north carolina \| 92-73 \| greensboro, north carolina \| 8166 ] Execute this SQL based on the above table: select min ( attendance ) - 3500 where attendance > 3500	216.0
[ header: # \| artist \| featuring \| title \| version \| length row 1 : 1 \| benassi bros \| dhany \| rocket in the sky \| original extended mix \| 5:43 row 2 : 2 \| benassi bros \| sandy \| illusion \| sfaction mix \| 5:08 row 3 : 3 \| benassi bros \| dhany \| every single day \| original version \| 4:45 row 4 : 4 \| benassi bros \| sandy \| castaway \| original version \| 6:06 row 5 : 5 \| benassi bros \| dhany \| make me feel \| original version \| 5:30 row 6 : 6 \| benassi bros \| sandy \| i feel so fine \| sfaction mix \| 5:26 row 7 : 7 \| benassi bros \| dhany \| run to me \| sfaction version \| 5:09 row 8 : 8 \| benassi bros \| sandy \| get better \| sflow version \| 4:05 row 9 : 9 \| benassi bros \| dhany \| hit my heart \| sfaction mix \| 5:08 row 10 : 10 \| benassi bros \| sandy \| turn me up \| sfaction mix \| 5:48 row 11 : 11 \| benassi bros \| dhany \| somebody to touch me \| sflow version \| 5:49 row 12 : 12 \| benassi bros \| sandy \| light \| original version \| 7:30 row 13 : 13 \| benassi bros \| None \| megamix \| None \| 3:31 row 14 : 14 \| benassi bros \| None \| summer megamix 2005 \| None \| 4:11 row 15 : 15 \| benassi bros \| dhany \| make me feel \| dave leatherman remix \| 4:11 ] Execute this SQL based on the above table: select count ( * ) where title = 'rocket in the sky'	1
[ header: model \| release date \| sensor res., size \| lens (35 mm equiv.) zoom, aperture \| screen size, pixels \| dimensions w (mm) × h (mm) × d (mm) \| weight \| features row 1 : s01 \| aug 22, 2012 \| 10.1 mp 3648x2736 1/2 \| 29-87 mm (3×) f \| 2.5 in 230 kpixel \| 77 × 51.2 × 17.2 \| 96 g (w/batt. \| ccd sensor, 2.5 in touch screen row 2 : s30 \| feb 1, 2012 \| 10.1 mp 3648x2736 1/3 \| 29.1-87.3 mm (3×) \| 2.7 in 230 kpixel \| 101.9 × 64.8 × 39. \| 214 g (w/batt. \| compact drop-resistant and waterproof with large buttons and row 3 : s800c \| aug 22, 2012 \| 16.0 mp 4608x3456 1/2 \| 25-250 mm (10×) f \| 3.5 in 819 kpixel \| 111.4 × 60.0 × 27.2 \| 184 g (w/batt. \| android 2.3 os, 3.5 in row 4 : s1200pj \| aug 24, 2011 \| 14.1 mp 4320x3240 1/2 \| 28-140 mm (5×) f \| 3 in 460 kpixel \| 107 × 63.4 × 22.6 \| 186 g (w/batt. \| ccd sensor, built-in project row 5 : s2600 \| None \| 14.0 mp 4320x3240 1/2 \| 26-130 mm (5×) f \| 2.7 in 230 kpixel \| 93.8 × 58.4 × \| 121 g (w/batt. \| None row 6 : s3300 \| feb 1, 2012 \| 16.0 mp 4608x3456 1/2 \| 26-156 mm (6×) f \| 2.7 in 230 kpixel \| 94.8 × 57.8 × \| 128 g (w/batt. \| None row 7 : s4300 \| feb 1, 2012 \| 16.0 mp 4608x3456 1/2 \| 26-156 mm (6×) f \| 3 in 460 kpixel \| 95.5 × 58.9 × \| 139 g (w/batt. \| None row 8 : s6400 \| aug 22, 2012 \| 16.0 mp 4608x3456 1/2 \| 25-300 mm (12×) f \| 3.0 in 460 kpixel \| 95.4 × 58.6 × \| 150 g (w/batt.) \| cmos sensor, lens-based vibration reduction row 9 : s9300 \| feb 1, 2012 \| 16.0 mp 4608x3456 1/2 \| 25-450 mm (18×) f \| 3 in 921 kpixel \| 108.7 × 62.3 × \| 215 g (w/batt. \| s9200 with built in gp ] Execute this SQL based on the above table: select count ( sensor res., size ) where features = 'None' and model = '214 g (w/batt.)'	0
[ header: incumbent \| reason for vacancy \| appointed successor \| date of appointment \| elected successor \| date of election row 1 : l. b. lindsay \| disqualified, never took office \| henry e. prickett \| november 19, 1867 \| thomas b. hart \| january 1868 row 2 : john hailey \| never took office \| charles himrod \| july 10, 1871 \| george h. twitche \| july 8, 1872 row 3 : sol hasbrouck \| resigned november 5, 1885 \| james w. huston \| december 28, 1885 \| peter j. pefley \| july 1887 row 4 : harry fritchman \| resigned may 25, 1912 \| arthur hodges \| may 25, 1912 \| arthur hodges \| april 1, 1913 row 5 : j. w. robinson \| recalled june 1, 1916 \| s. h. hays \| june 6, 1916 \| s. h. hays \| april 1917 row 6 : herbert f. lemp \| died may 6, 1927 \| walter f. hansen \| may 6, 1927 \| james p. pope \| april 1929 row 7 : james p. pope \| resigned february 13, 1933 \| ross cady \| february 13, 1933 \| j. j. mccu \| april 1933 row 8 : byron e. hyat \| died november 11, 1936 \| j. l. edle \| november 11, 1936 \| j. l. edle \| april 1937 row 9 : h. w. whillock \| resigned may 11, 1942 \| austin walker \| may 11, 1942 \| austin walker \| april 1943 row 10 : austin walker sam s \| died october 31, 1945 re \| sam s. griffin \| october 31, 1945 february \| potter p. howard \| april 1947 row 11 : dirk kempthorne \| resigned january 5, 1993 \| h. brent coles \| january 5, 1993 \| h. brent coles \| november 1993 row 12 : h. brent coles \| resigned february 15, 2003 \| carolyn terteling-p \| february 18, 2003 \| david h. bieter \| november 2003 ] Execute this SQL based on the above table: select count ( incumbent )	12
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 2001 \| beijing marathon \| beijing, pr china \| 7th \| marathon \| 2:10:46 row 2 : 2002 \| beijing marathon \| beijing, pr china \| 1st \| marathon \| 2:13:09 row 3 : 2004 \| olympic games \| athens, greece \| 31st \| marathon \| 2:19:26 row 4 : 2007 \| xiamen international marathon \| xiamen, pr china \| 1st \| marathon \| 2:13:17 row 5 : 2007 \| world championships \| osaka, japan \| 43rd \| marathon \| 2:32:44 row 6 : 2008 \| olympic games \| beijing, pr china \| 51st \| marathon \| 2:24:08 ] Execute this SQL based on the above table: select competition order by year asc limit 1	beijing marathon
[ header: outcome \| no. \| date \| tournament \| surface \| partner \| opponents in the final \| score in the final row 1 : runner-up \| 1 \| 1972 \| stockholm, sweden \| hard (i) \| roy emerson \| tom okker marty ries \| 5-7, 6-7 row 2 : runner-up \| 2 \| 1973 \| miami wct, us \| hard \| terry addison \| roy emerson rod laver \| 4-6, 4-6 row 3 : runner-up \| 3 \| 1973 \| richmond wct, us \| carpet \| terry addison \| roy emerson rod laver \| 6-3, 3-6, 4-6 row 4 : runner-up \| 4 \| 1973 \| st. louis, us \| carpet \| terry addison \| ove nils bengtson \| 2-6, 5-7 row 5 : runner-up \| 5 \| 1973 \| columbus, us \| hard \| charles pasarell \| gerald battrick graham \| 4-6, 6-7 row 6 : winner \| 1 \| 1973 \| merion, us \| grass \| allan stone \| john austin fred m \| 7-6, 6-3 row 7 : winner \| 2 \| 1973 \| hong kong \| hard \| rod laver \| paul gerken brian gott \| 6-3, 5-7, 17-15 row 8 : winner \| 3 \| 1974 \| houston, us \| clay \| rod laver \| arthur ashe roscoe t \| 4-6, 7-6, 6-4 row 9 : runner-up \| 7 \| 1975 \| orlando wct, us \| hard \| ray ruffels \| brian gottfried raul \| 4-6, 4-6 row 10 : winner \| 6 \| 1976 \| palm springs, us \| hard \| sandy mayer \| raymond moore erik van \| 6-4, 6-7, 7-6 row 11 : winner \| 7 \| 1976 \| palma, spain \| clay \| john andrews \| mark edmondson john marks \| 2-6, 6-3, 6-2 row 12 : runner-up \| 8 \| 1976 \| madrid, spain \| clay \| john andrews \| carlos kirmayr eduard \| 6-7, 6-4, 6-8 row 13 : winner \| 9 \| 1977 \| little rock, us \| carpet \| haroon rahim \| bob hewitt frew \| 6-7, 6-3, 6-3 row 14 : winner \| 10 \| 1977 \| denver, us \| carpet \| geoff masters \| syd ball kim warwick \| 6-2, 6-3 row 15 : winner \| 11 \| 1977 \| south orange, us \| hard \| wojtek fibak \| ion tiriac guiller \| 6-1, 7-5 row 16 : runner-up \| 10 \| 1978 \| johannesburg, south africa \| hard \| geoff masters \| bob hewitt frew \| 5-7, 6-7 row 17 : runner-up \| 11 \| 1978 \| newport, us \| grass \| bob giltinan \| tim gullikson tom gul \| 4-6, 4-6 row 18 : winner \| 13 \| 1978 \| columbus, us \| clay \| bob giltinan \| marcello lara elio \| 6-2, 6-3 row 19 : runner-up \| 13 \| 1979 \| tulsa, us \| hard (i) \| tom gullikson \| francisco gonzalez e \| 7-6, 5-7, 3-6 row 20 : runner-up \| 14 \| 1979 \| stowe, us \| hard \| anand amritraj \| mike cahill steve k \| 6-3, 3-6, 4-6 ] Execute this SQL based on the above table: select no. where score in the final = '6-7, 6-4, 6-8'	8
[ header: year \| title \| chart positions nor \| chart positions aus \| chart positions aut \| chart positions bel \| chart positions ger \| chart positions nl \| chart positions nz \| chart positions swe \| chart positions swi \| chart positions uk \| album row 1 : 2003 \| "she's so high" \| 1 \| 60 \| 42 \| 9 \| 25 \| 16 \| 38 \| None \| 91 \| 25 \| i row 2 : 2004 \| "here she comes" \| 12 \| None \| None \| 53 \| None \| None \| None \| None \| None \| None \| i row 3 : 2004 \| "all you have to offer" \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| i row 4 : 2004 \| "my street" \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| a part of me row 5 : 2004 \| "before you leave" \| None \| None \| None \| 52 \| None \| None \| None \| None \| None \| None \| a part of me row 6 : 2005 \| "never easy" \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| a part of me row 7 : 2006 \| "when the stars go blue" (feat \| 14 \| None \| None \| None \| None \| None \| None \| None \| None \| None \| venke knutson's places row 8 : 2006 \| "hallelujah" (with espen \| 1 \| None \| None \| None \| None \| None \| None \| None \| None \| None \| hallelujah - live row 9 : 2006 \| "boys of summer" (with espen \| 12 \| None \| None \| None \| None \| None \| None \| None \| None \| None \| hallelujah - live row 10 : 2007 \| "push, push" \| 1 \| None \| None \| None \| None \| None \| None \| None \| None \| None \| push push row 11 : 2007 \| "silence" \| 9 \| None \| None \| None \| None \| None \| None \| None \| None \| None \| push push row 12 : 2008 \| "reality kicks" \| 20 \| None \| None \| None \| None \| None \| None \| None \| None \| None \| push push row 13 : 2008 \| "lost highway" (featuring will \| 1 \| None \| None \| None \| None \| None \| None \| None \| None \| None \| rise to the occasion row 14 : 2008 \| "don't have what it takes" \| 19 \| None \| None \| None \| None \| None \| None \| None \| None \| None \| rise to the occasion row 15 : 2008 \| "rise to the occasion" \| None \| None \| None \| None \| None \| None \| None \| 38 \| None \| None \| rise to the occasion row 16 : 2009 \| "with or without you" (with espen \| 1 \| None \| None \| None \| None \| None \| None \| None \| None \| None \| hallelujah - live volume 2 row 17 : 2010 \| "himmel pa jord" \| 5 \| None \| None \| None \| None \| None \| None \| None \| None \| None \| have yourself a merry little christmas row 18 : 2013 \| "adieu" \| 9 \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None row 19 : 2013 \| "engler i sneen \| 7 \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None ] Execute this SQL based on the above table: select count ( distinct title ) where album = 'None'	0
[ header: year \| single \| peak chart positions us mod \| peak chart positions uk \| album row 1 : 1997 \| "automatic" \| None \| None \| losing streak row 2 : 1997 \| "dopeman" \| None \| None \| losing streak row 3 : 1997 \| "dopeman" (remix) \| None \| None \| non-album single row 4 : 1997 \| "howie j. rey \| None \| None \| non-album single row 5 : 1998 \| "history of a boring town" \| 39 \| None \| hello rockview row 6 : 2000 \| "all my best friends are metalheads" \| None \| 51 \| hello rockview row 7 : 2000 \| "all my best friends are metalheads" \| None \| None \| non-album single row 8 : 2001 \| "gainesville rock city" \| None \| 57 \| borders & boundaries row 9 : 2003 \| "she's gonna break soon" \| None \| 39 \| anthem row 10 : 2003 \| "the science of selling yourself short" \| 36 \| 78 \| anthem row 11 : 2003 \| "surrender" \| None \| None \| anthem row 12 : 2006 \| "overrated (everything is)" \| None \| 61 \| in with the out crowd row 13 : 2006 \| "the rest of my life" \| None \| 77 \| in with the out crowd row 14 : 2008 \| "does the lion city still \| None \| None \| gnv fla row 15 : 2008 \| "abandon ship" \| None \| None \| gnv fla ] Execute this SQL based on the above table: select max ( peak chart positions us mod )	39.0
[ header: nationality \| name \| term as a deputy judge \| reason for termination row 1 : norway \| frederik beichmann \| 30 january 1920 - 6 de \| not re-elected row 2 : china \| wang ch'ung-hui \| 30 january 1920 - 6 de \| not re-elected row 3 : finland \| rafael erich \| 15 january 1931 - 1 \| post abolished row 4 : portugal \| jose caeiro da matta \| 15 january 1931 - 1 \| post abolished row 5 : romania \| demetre negulesco \| 30 january 1920 - 6 de \| not re-elected row 6 : yugoslavia \| mileta novakovic \| 15 january 1931 - 1 \| post abolished row 7 : austria \| josef redlich \| 15 january 1931 - 1 \| post abolished row 8 : yugoslavia \| mihajlo jovanovic \| 30 january 1920 - 6 de \| not re-elected ] Execute this SQL based on the above table: select name where id = ( select id where name = 'demetre negulesco' ) - 1	jose caeiro da matta
[ header: no. \| title (latin) \| title (english translation) \| subject \| date row 1 : 1 \| qui pluribus \| None \| on faith and religion \| 9 november 1846 row 2 : 2 \| praedecessores nostros \| None \| on aid for ireland \| 25 march 1847 row 3 : 4 \| ubi primum \| None \| on immaculate conception \| 2 february 1849 row 4 : 5 \| nostis et nobiscum \| None \| on the church in the papal states \| 8 december 1849 row 5 : 6 \| exultavit cor nostrum \| None \| on the effects of the jubilee \| 21 november 1851 row 6 : 7 \| nemo certe ignorat \| None \| on discipline for clergy \| 25 march 1852 row 7 : 8 \| probe noscitis venerabiles \| None \| on the discipline for clergy \| 17 may 1852 row 8 : 9 \| inter multiplices \| None \| pleading for unity of spirit \| 21 march 1853 row 9 : 10 \| neminem vestrum \| None \| on the persecution of armenians \| 2 february 1854 row 10 : 11 \| optime noscitis \| None \| on the proposed catholic university of irel \| 20 march 1854 row 11 : 13 \| optime noscitis \| None \| on episcopal meetings \| 5 november 1855 row 12 : 14 \| singulari quidem \| None \| on the church in austria \| 17 march 1856 row 13 : 15 \| cum nuper \| None \| on care for clerics \| 20 january 1858 row 14 : 16 \| amantissimi redemptoris \| None \| on priests and the care of souls \| 3 may 1858 row 15 : 17 \| cum sancta mater eccle \| None \| pleading for public prayer \| 27 april 1859 row 16 : 18 \| qui nuper \| None \| on the pontifical states \| 18 june 1859 row 17 : 19 \| nullis certe verbis \| None \| on the need for civil sovereignty \| 19 january 1860 row 18 : 20 \| amantissimus \| None \| on the care of the churches \| 8 april 1862 row 19 : 22 \| incredibili \| None \| on the persecution in new granada \| 17 september 1863 row 20 : 24 \| quanta cura \| None \| condemning current errors \| 8 december 1864 row 21 : 25 \| meridionali americae \| None \| on the seminary for the native clergy \| 30 september 1865 row 22 : 26 \| levate \| None \| on the affiliations of church \| 27 october 1867 row 23 : 27 \| respicientes \| None \| protesting the taking of the pontifical states \| 1 november 1870 row 24 : 28 \| ubi nos \| "our city" \| on the pontifical states \| 15 may 1871 row 25 : 29 \| beneficia dei \| None \| on the 25th anniversary of his pontificate \| 4 june 1871 row 26 : 30 \| saepe venerabiles \| None \| thanksgiving for 25 years of pontificate \| 5 august 1871 row 27 : 31 \| quae in patriarchatu \| None \| on the church in chaldea \| 16 november 1872 row 28 : 32 \| quartus supra \| None \| on the church in armenia \| january 1873 row 29 : 34 \| vix dum a nobis \| None \| on the church in austria \| 7 march 1874 row 30 : 35 \| omnem sollicitudinem \| None \| on the greek-ruthenian rite \| 13 may 1874 row 31 : 36 \| gravibus ecclesia \| None \| proclaiming a jubilee \| 24 december 1874 row 32 : 37 \| quod nunquam \| None \| on the church in prussia \| 5 february 1875 row 33 : 38 \| graves ac diuturnae \| None \| on the church in switzerland \| 23 march 1875 ] Execute this SQL based on the above table: select title (latin) where id = ( select id where title (latin) = 'probe noscitis venerabiles' ) - 1	nemo certe ignorat
[ header: athlete \| nation \| olympics \| gold \| silver \| bronze \| total row 1 : gillis grafstrom \| sweden (swe) \| 1920-1932 \| 3 \| 1 \| 0 \| 4 row 2 : evgeni plushenko \| russia (rus) \| 2002-2014 \| 2 \| 2 \| 0 \| 4 row 3 : ludmila belousova \| soviet union (urs) \| 1964-1968 \| 2 \| 0 \| 0 \| 2 row 4 : dick button \| united states (usa) \| 1948-1952 \| 2 \| 0 \| 0 \| 2 row 5 : ekaterina gordeeva \| soviet union (urs) russia ( \| 1988, 1994 \| 2 \| 0 \| 0 \| 2 row 6 : tatiana volosozhar \| russia (rus) \| 2014 \| 2 \| 0 \| 0 \| 2 row 7 : katarina witt \| east germany (gdr) \| 1984-1988 \| 2 \| 0 \| 0 \| 2 row 8 : marina klimova / sergei \| unified team (eun) soviet \| 1984-1992 \| 1 \| 1 \| 1 \| 3 row 9 : tenley albright \| united states (usa) \| 1952-1956 \| 1 \| 1 \| 0 \| 2 row 10 : elena berezhnay \| russia (rus) \| 1998-2002 \| 1 \| 1 \| 0 \| 2 row 11 : carol heiss \| united states (usa) \| 1956-1960 \| 1 \| 1 \| 0 \| 2 row 12 : kim yu-na \| south korea (kor) \| 2010-2014 \| 1 \| 1 \| 0 \| 2 row 13 : shen xue / z \| china (chn) \| 2002-2010 \| 1 \| 0 \| 2 \| 3 row 14 : jeannette altwegg \| great britain (gbr) \| 1948-1952 \| 1 \| 0 \| 1 \| 2 row 15 : marina anissina / g \| france (fra) \| 1998-2002 \| 1 \| 0 \| 1 \| 2 row 16 : beatrix loughran \| united states (usa) \| 1924-1932 \| 0 \| 2 \| 1 \| 3 row 17 : patrick chan \| canada (can) \| 2014 \| 0 \| 2 \| 0 \| 2 row 18 : marika kilius / hans \| unified team of germany (eua \| 1960-1964 \| 0 \| 2 \| 0 \| 2 row 19 : brian orser \| canada (can) \| 1984-1988 \| 0 \| 2 \| 0 \| 2 row 20 : elvis stojko \| canada (can) \| 1994-1998 \| 0 \| 2 \| 0 \| 2 row 21 : phyllis johnson \| great britain (gbr) \| 1908-1920 \| 0 \| 1 \| 1 \| 2 row 22 : michelle kwan \| united states (usa) \| 1998-2002 \| 0 \| 1 \| 1 \| 2 row 23 : irina slut \| russia (rus) \| 2002-2006 \| 0 \| 1 \| 1 \| 2 row 24 : philippe candeloro \| france (fra) \| 1994-1998 \| 0 \| 0 \| 2 \| 2 row 25 : manuela groß / uwe ka \| east germany (gdr) \| 1972-1976 \| 0 \| 0 \| 2 \| 2 row 26 : chen lu \| china (chn) \| 1994-1998 \| 0 \| 0 \| 2 \| 2 row 27 : patrick pera \| france (fra) \| 1968-1972 \| 0 \| 0 \| 2 \| 2 ] Execute this SQL based on the above table: select nation where total = 3	unified team (eun) soviet union (urs), china (chn), united states (usa)
[ header: year \| competition \| venue \| position \| notes row 1 : 2002 \| world junior championships \| kingston, jamaica \| 1st \| 64.51 m (1.75 kg) row 2 : 2002 \| asian games \| busan, south korea \| 1st \| 60.76 m row 3 : 2003 \| universiade \| daegu, south korea \| 1st \| 62.32 m row 4 : 2003 \| asian championships \| manila, philippines \| 1st \| 61.43 m row 5 : 2004 \| olympic games \| athens, greece \| 18th (q) \| 60.60 m row 6 : 2005 \| world championships \| helsinki, finland \| 18th (q) \| 61.75 m row 7 : 2005 \| universiade \| izmir, turkey \| 7th \| 59.67 m row 8 : 2005 \| east asian games \| macau \| 1st \| 61.74 m row 9 : 2006 \| asian games \| doha, qatar \| 5th \| 58.54 m row 10 : 2009 \| asian championships \| guangzhou, china \| 3rd \| 59.27 m ] Execute this SQL based on the above table: select venue where position != '1st'	athens, greece, helsinki, finland, izmir, turkey, doha, qatar, guangzhou, china
[ header: team \| location \| venue \| capacity \| position in 1993-94 row 1 : dinamo minsk \| minsk \| dinamo, minsk \| 41040 \| 1 row 2 : dinamo-93 \| minsk \| dinamo, minsk \| 41040 \| 2 row 3 : dvina \| vitebsk \| central, vitebsk \| 8300 \| 3 row 4 : dnepr \| mogilev \| spartak, mogilev \| 11200 \| 4 row 5 : bobruisk \| bobruisk \| spartak, bobruisk \| 3550 \| 5 row 6 : torpedo minsk \| minsk \| torpedo, minsk \| 5200 \| 6 row 7 : shinnik \| bobruisk \| spartak, bobruisk \| 3550 \| 7 row 8 : dinamo brest \| brest \| dinamo, brest \| 10080 \| 8 row 9 : molodechno \| molodechno \| city stadium, molodechno \| 5500 \| 9 row 10 : lokomotiv \| vitebsk \| central, vitebsk \| 8300 \| 10 row 11 : neman \| grodno \| neman \| 6300 \| 11 row 12 : vedrich \| rechytsa \| central, rechytsa \| 3550 \| 12 row 13 : shakhtyor \| soligorsk \| stroitel \| 5000 \| 13 row 14 : torpedo mogilev \| mogilev \| torpedo, mogilev \| 3500 \| 14 row 15 : gomselmash \| gomel \| central, gomel \| 11800 \| 15 row 16 : obuvshchik \| lida \| city stadium, lida \| 4000 \| first league, 1 ] Execute this SQL based on the above table: select count ( venue )	16
[ header: city 2010 census \| chinese \| built-up area \| urban area \| level \| administrative area \| province-level division \| remarks row 1 : suzhou \| 苏州 \| shanghai \| 5349090 \| prefecture-level city \| 10465994 \| jiangsu \| None row 2 : yangzhou \| 扬州 \| 2399079 \| 2399079 \| prefecture-level city \| 4459760 \| jiangsu \| None row 3 : huizhou \| 惠州 \| guangzhou \| 2344507 \| prefecture-level city \| 4597002 \| guangdong \| 2 urban districts part of guangzhou- row 4 : baotou \| 包头 \| 2034996 \| 2070801 \| prefecture-level city \| 2650364 \| inner mongolia \| shiguai urban district not yet urban row 5 : jilin city \| 吉林市 \| 1975803 \| 1975803 \| prefecture-level city \| 4414681 \| jilin \| None row 6 : cixi \| 慈溪 \| 1462383 \| 1462383 \| county-level city \| ningbo \| zhejiang \| None row 7 : datong \| 大同 \| 1447550 \| 1570035 \| prefecture-level city \| 3318057 \| shanxi \| None row 8 : panjin \| 盘锦 \| 1392493 \| 666205 \| prefecture-level city \| 1392493 \| liaoning \| incl. 2 urban districts plus d row 9 : fushun \| 抚顺 \| shenyang \| 1356987 \| prefecture-level city \| 2138090 \| liaoning \| None row 10 : yingkou \| 营口 \| 1351519 \| 738128 \| prefecture-level city \| 2428534 \| liaoning \| incl. dashiqia row 11 : xining \| 西宁 \| 1198304 \| 1198304 \| prefecture-level city provincial capital \| 2208708 \| qinghai \| None row 12 : tianshui \| 天水 \| 1197174 \| 1197174 \| prefecture-level city \| 3262548 \| gansu \| None row 13 : taixing \| 泰兴市 \| 1192213 \| 1192213 \| county-level city \| taizhou \| jiangsu \| None row 14 : qujing \| 曲靖 \| 1171805 \| 740925 \| prefecture-level city \| 5855055 \| yunnan \| incl. zhanyi county row 15 : jining \| 济宁 \| 1115300 \| 1115300 \| prefecture-level city \| 8081900 \| shandong \| None row 16 : jinhua \| 金华 \| 1077300 \| 1077300 \| prefecture-level city \| 5361600 \| zhejiang \| None row 17 : pingdingshan \| 平顶山 \| 1033975 \| 1033975 \| prefecture-level city \| 4904367 \| henan \| None row 18 : qiqihar \| 齐齐哈尔 \| 979517 \| 1481637 \| prefecture-level city \| 5611000 \| heilongjiang \| incl. longsha, j row 19 : bengbu \| 蚌埠 \| 972784 \| 972784 \| prefecture-level city \| 3164467 \| anhui \| None row 20 : danyang \| 丹阳市 \| 960418 \| 960418 \| county-level city \| zhenjiang \| jiangsu \| None row 21 : wuchuan \| 吴川 \| 947499 \| 947499 \| county-level city \| zhanjiang \| guangdong \| None ] Execute this SQL based on the above table: select city 2010 census order by built-up area desc limit 1	yangzhou
[ header: club \| founded \| nickname \| location \| home ground \| entered competition \| most recent promotion row 1 : bundoora football club \| 1974 \| bulls \| bundoora \| yulong reserve \| 1981 \| 1982 row 2 : eltham football club \| 1909 \| panthers \| eltham \| central park \| 1922 \| 2003 row 3 : greensborough football club \| 1905 \| boro \| greensborough \| war memorial park \| 1922 \| 2007 row 4 : heidelberg football club \| 1876 \| tigers \| heidelberg \| warringal park \| 1923 \| 1983 row 5 : lalor football club \| 1955 \| bloods \| lalor \| lalor reserve \| 1968 \| 2011 row 6 : macleod football club \| 1946 \| kangaroos \| rosanna \| de winton park \| 1947 \| 2010 row 7 : montmorency football club \| 1924 \| magpies \| montmorency \| montmorency park, north oval \| 1924 \| None row 8 : north heidelberg football club \| 1958 \| bulldogs \| heidelberg heights \| shelley street reserve \| 1958 \| None row 9 : northcote park football club \| 1952 \| cougars \| northcote \| bill lawry oval \| 1982 \| 1995 row 10 : west preston lakeside football club \| 1998 \| roosters \| reservoir \| j e moore park \| 1996 \| 1997 ] Execute this SQL based on the above table: select nickname where id = ( select id where nickname = 'bulldogs' ) - 1	magpies
[ header: year \| single \| chart \| position row 1 : 1999 \| "heavy" \| billboard hot 100 \| 73 row 2 : 1999 \| "heavy" \| mainstream rock tracks \| 1 row 3 : 1999 \| "heavy" \| modern rock tracks \| 5 row 4 : 1999 \| "run" \| billboard hot 100 \| 76 row 5 : 1999 \| "run" \| modern rock tracks \| 36 row 6 : 1999 \| "run" \| adult top 40 \| 12 row 7 : 1999 \| "no more, no less" \| mainstream rock tracks \| 10 row 8 : 1999 \| "no more, no less" \| modern rock tracks \| 32 row 9 : 1999 \| "tremble for my beloved" \| mainstream rock tracks \| 35 ] Execute this SQL based on the above table: select max ( position ) - min ( position )	75.0
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 1 \| emerson fittipaldi \| mclaren-ford \| 53 \| 1:39:26.29 \| 5 \| 9 row 2 : 2 \| 24 \| james hunt \| hesketh-ford \| 53 \| + 5.91 \| 6 \| 6 row 3 : 3 \| 7 \| carlos reutemann \| brabham-ford \| 53 \| + 17.06 \| 3 \| 4 row 4 : 4 \| 11 \| clay regazzoni \| ferrari \| 53 \| + 35.79 \| 7 \| 3 row 5 : 5 \| 4 \| patrick depailler \| tyrrell-ford \| 53 \| + 54.25 \| 8 \| 2 row 6 : 6 \| 12 \| niki lauda \| ferrari \| 53 \| + 1:19.65 \| 4 \| 1 row 7 : 7 \| 28 \| mark donohue \| penske-ford \| 52 \| + 1 lap \| 16 \| None row 8 : 8 \| 6 \| jacky ickx \| lotus-ford \| 52 \| + 1 lap \| 18 \| None row 9 : 9 \| 9 \| vittorio brambilla \| march-ford \| 52 \| + 1 lap \| 12 \| None row 10 : 10 \| 22 \| graham hill \| lola-ford \| 52 \| + 1 lap \| 21 \| None row 11 : 11 \| 3 \| jody scheckter \| tyrrell-ford \| 52 \| + 1 lap \| 9 \| None row 12 : 12 \| 16 \| tom pryce \| shadow-ford \| 51 \| transmission \| 14 \| None row 13 : 13 \| 23 \| rolf stommelen \| lola-ford \| 51 \| + 2 laps \| 19 \| None row 14 : 14 \| 2 \| jochen mass \| mclaren-ford \| 50 \| + 3 laps \| 13 \| None row 15 : ret \| 8 \| carlos pace \| brabham-ford \| 46 \| engine \| 2 \| None row 16 : nc \| 20 \| arturo merzario \| williams-ford \| 44 \| not classified \| 20 \| None row 17 : ret \| 27 \| mario andretti \| parnelli-ford \| 27 \| transmission \| 10 \| None row 18 : ret \| 14 \| mike wilds \| brm \| 24 \| engine \| 22 \| None row 19 : ret \| 5 \| ronnie peterson \| lotus-ford \| 15 \| engine \| 11 \| None row 20 : ret \| 21 \| jacques laffite \| williams-ford \| 15 \| gearbox \| 17 \| None row 21 : ret \| 30 \| wilson fittipaldi \| fittipaldi-ford \| 12 \| accident \| 23 \| None row 22 : dsq \| 18 \| john watson \| surtees-ford \| 6 \| disqualified \| 15 \| None row 23 : dns \| 17 \| jean-pierre jarier \| shadow-ford \| 0 \| transmission \| 1 \| None ] Execute this SQL based on the above table: select count ( * ) where driver = 'mark donohue'	1
[ header: institution \| location \| athletic nickname \| undergraduate enrollment \| graduate enrollment \| total enrollment \| 2013 endowment (and us rank) \| academic staff \| motto row 1 : brown university \| providence, rhode island \| bears \| 6316 \| 2333 \| 8649 \| $2.7 billion (30th) \| 736 \| in deo speramus (in god row 2 : columbia university \| new york, new york \| lions \| 7160 \| 15760 \| 22920 \| $8.2 billion (9th) \| 3763 \| in lumine tuo videb row 3 : cornell university \| ithaca, new york \| big red \| 13931 \| 6702 \| 20633 \| $5.3 billion (18th) \| 2908 \| i would found an institution where any person can row 4 : dartmouth college \| hanover, new hampshire \| big green \| 4248 \| 1893 \| 6141 \| $3.7 billion (22nd) \| 571 \| vox clamantis in deserto row 5 : harvard university \| cambridge, massachusetts \| crimson \| 7181 \| 14044 \| 21225 \| $32.3 billion (1st) \| 4671 \| veritas (truth) row 6 : princeton university \| princeton, new jersey \| tigers \| 5113 \| 2479 \| 7592 \| $18.2 billion (5th) \| 1172 \| dei sub numine viget (under god row 7 : university of pennsylvania \| philadelphia, pennsy \| quakers \| 10337 \| 10306 \| 20643 \| $7.7 billion (11th) \| 4464 \| leges sine moribus vanae row 8 : yale university \| new haven, connecticut \| bulldogs \| 5275 \| 6391 \| 11666 \| $20.8 billion (2nd) \| 4140 \| אורים ותומים lux et ver ] Execute this SQL based on the above table: select athletic nickname where athletic nickname in ( 'lions' , 'bulldogs' , 'big red' ) order by graduate enrollment limit 1	bulldogs
[ header: number \| driver \| entrant \| chassis \| engine \| tyre row 1 : 1 \| jimmy bryan \| dean van lines \| kuzma \| offenhauser \| f row 2 : 2 \| john lawrence \| ecurie ecosse \| jaguar d-type \| jaguar \| d row 3 : 4 \| jack fairman \| ecurie ecosse \| jaguar d-type \| jaguar \| d row 4 : 6 \| ninian sanderson \| ecurie ecosse \| jaguar d-type \| jaguar \| d row 5 : 7 \| bob veith \| bob estes \| phillips \| offenhauser \| f row 6 : 8 \| jean behra \| maserati \| maserati 250f \| maserati \| f row 7 : 8 \| jean behra \| maserati \| maserati 450s1 \| maserati \| f row 8 : 12 \| pat o'connor \| sumar \| kurtis kraft 500g \| offenhauser \| f row 9 : 16 \| mario bornigia \| scuderia cottione \| ferrari \| ferrari \| None row 10 : 27 \| tony bettenhausen \| novi auto air conditioning \| kurtis kraft 500f \| novi (s/c) \| f row 11 : 35 \| eddie sachs \| jim robbins \| kurtis kraft 500g \| offenhauser \| f row 12 : 49 \| ray crawford \| meguiar mirror glaze \| kurtis kraft 500g \| offenhauser \| f row 13 : 52 \| troy ruttman \| john zink \| watson \| offenhauser \| f row 14 : 52 \| jim rathmann2 \| john zink \| watson \| offenhauser \| f row 15 : 54 \| paul russo \| novi auto air conditioning \| kurtis kraft 500f \| novi (s/c) \| f row 16 : 73 \| andy linden \| mcnamara veedo \| kurtis kraft 500g \| offenhauser \| f row 17 : 98 \| johnnie parsons \| agajanian \| kuzma \| offenhauser \| f ] Execute this SQL based on the above table: select count ( driver )	17
[ header: game \| date \| team \| score \| high points \| high rebounds \| high assists \| location attendance \| record row 1 : 75 \| april 1 \| @ sacramento \| w 99-90 \| raymond felton (17) \| nene (12) \| nene (6) \| power balance pavilion 15,871 \| 46-29 row 2 : 76 \| april 3 \| @ l.a. lakers \| w 95-90 \| danilo gallinari (22) \| kenyon martin (8) \| ty lawson (8) \| staples center 18,997 \| 47-29 row 3 : 77 \| april 5 \| oklahoma city \| l 94-101 \| ty lawson (28) \| nene (8) \| ty lawson (5) \| pepsi center 18,203 \| 47-30 row 4 : 78 \| april 6 \| @ dallas \| w 104-96 \| j. r. smith (23) \| nene (15) \| ty lawson (8) \| american airlines center 20,364 \| 48-30 row 5 : 79 \| april 8 \| @ oklahoma city \| l 89-104 \| nene (18) \| kenyon martin (13) \| ty lawson (6) \| oklahoma city arena 18,203 \| 48-31 row 6 : 80 \| april 9 \| minnesota \| w 130-106 \| ty lawson (37) \| kenyon martin, j \| raymond felton (14) \| pepsi center 19,155 \| 49-31 row 7 : 81 \| april 11 \| golden state \| w 134-111 \| j. r. smith (22) \| chris andersen (12) \| raymond felton (10) \| pepsi center 19,155 \| 50-31 row 8 : 82 \| april 13 \| @ utah \| l 103-107 \| wilson chandler (27) \| chris andersen (10) \| wilson chandler, gary \| energysolutions arena 19,051 \| 50-32 ] Execute this SQL based on the above table: select sum ( game )	628.0
[ header: release date \| album \| catalog number \| chart position \| notes row 1 : march 5, 1991 \| niji-iro no sneaker \| kida-15 \| 43 \| single row 2 : march 21, 1991 \| half and half \| kics-100 \| 45 \| album row 3 : march 5, 1992 \| whatever \| kics-176 \| 18 \| album row 4 : june 24, 1992 \| yume wo dakishimet \| kida-42 \| 90 \| single - magical princess minky momo theme row 5 : august 5, 1992 \| haruneko fushigi t \| kida-45 \| 49 \| single - all purpose cultural cat girl nuku row 6 : march 24, 1993 \| our goody day...bokura no good day \| kida-54 \| 54 \| single row 7 : august 23, 1993 \| shamrock \| kics-345 \| 12 \| album row 8 : may 25, 1994 \| until strawberry sherbet \| kida-81 \| 42 \| single - contains themes for bakuret row 9 : november 3, 1994 \| touch and go!! \| kida-90 \| 37 \| single - contain themes for the show blue seed row 10 : december 21, 1994 \| pulse \| tycy-5413 \| 84 \| single (re-release) row 11 : july 2, 1994 \| sphere \| kics-430 \| 8 \| album row 12 : july 21, 1995 \| midnight blue \| kida-108 \| 27 \| single - slayers the motion picture row 13 : december 6, 1995 \| going history \| kida-124 \| 25 \| single - slayers extra theme row 14 : may 22, 1996 \| kagirinai yokubou \| kida-134 \| 20 \| single - slayers special ova row 15 : october 23, 1996 \| successful mission \| kida-138 \| 7 \| single - contains themes for saber row 16 : april 23, 1997 \| don't be discouraged \| kida-148 \| 4 \| single - slayers try ending row 17 : august 6, 1997 \| iravati \| kics-640 \| 5 \| album row 18 : february 4, 1998 \| fine colorday \| kida-158 \| 9 \| single - contains themes for the show all purpose row 19 : september 4, 1998 \| a house cat \| kida-165 \| 6 \| single - contains themes to the show all purpose row 20 : october 10, 1998 \| proof of myself \| kida-170 \| 9 \| single saber marionette j row 21 : june 21, 2000 \| vintage a \| kics-810 \| 4 \| greatest hits compilation row 22 : october 25, 2000 \| unsteady \| kida-204 \| 14 \| single - contains themes from muteki row 23 : july 21, 2001 \| maemuki roketto \| zmcp-1259 \| 62 \| pocket monsters 12th ending single row 24 : august 29, 2001 \| over soul \| kicm-3016 \| 7 \| single - shaman king themes row 25 : december 5, 2001 \| feel well \| kicm-3020 \| 11 \| single - slayers premium theme row 26 : april 24, 2002 \| treat or goblins \| kicm-3030 \| 19 \| single - magical shopping arcade abenob row 27 : june 26, 2002 \| feel well \| kics-955 \| 7 \| album row 28 : september 25, 2002 \| koibumi \| kicm-3035 \| 7 \| single row 29 : september 26, 2003 \| makenaide makenaide \| kicm-1083 \| 8 \| single - contains the themes for hayashi ] Execute this SQL based on the above table: select catalog number where notes = 'single'	kida-15, kida-54, kicm-3035
[ 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 area (km2) where capital = 'santo domingo este' order by population asc limit 224	1296.35
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 27 march 1977 \| rico perez, alicante \| hungary \| 1-1 \| 1-1 \| friendly row 2 : 2 \| 4 october 1978 \| maksimir, zagreb \| yugoslavia \| 0-1 \| 1-2 \| euro 1980 qualifying row 3 : 3 \| 24 september 1980 \| nepstadion, \| hungary \| 0-1 \| 2-2 \| friendly row 4 : 4 \| 18 february 1981 \| vicente calderon, madrid, \| france \| 1-0 \| 1-0 \| friendly row 5 : 5 \| 23 june 1981 \| azteca, mexico city \| mexico \| 0-1 \| 1-3 \| friendly row 6 : 6 \| 23 june 1981 \| azteca, mexico city \| mexico \| 0-2 \| 1-3 \| friendly row 7 : 7 \| 28 june 1981 \| olimpico, caracas, \| venezuela \| 0-1 \| 0-2 \| friendly row 8 : 8 \| 20 june 1982 \| luis casanova, valencia, \| yugoslavia \| 1-1 \| 2-1 \| 1982 fifa world cup ] Execute this SQL based on the above table: select # - # where opponent = 'yugoslavia'	0.0, 0.0
[ header: region \| rnd \| host \| venue \| city \| state row 1 : east \| 1 \| florida state university \| tully gymnasium \| tallahassee \| florida row 2 : east \| 1 \| old dominion university \| old dominion university fieldhouse \| norfolk \| virginia row 3 : east \| 1 \| university of maryland \| cole field house \| college park \| maryland row 4 : east \| 2 \| providence college \| alumni hall (providence) \| providence \| rhode island row 5 : east \| 2 \| university of connecticut \| harry a. gampel pavilion \| storrs \| connecticut row 6 : east \| 2 \| university of tennessee \| thompson-boling arena \| knoxville \| tennessee row 7 : east \| 2 \| university of virginia \| university hall (university of virginia) \| charlottesville \| virginia row 8 : mideast \| 1 \| depaul university \| alumni hall (depaul university) \| chicago \| illinois row 9 : mideast \| 1 \| university of south carolina \| carolina coliseum \| columbia \| south carolina row 10 : mideast \| 1 \| tennessee tech \| eblen center \| cookeville \| tennessee row 11 : mideast \| 1 \| vanderbilt university \| memorial gymnasium (vanderbilt university) \| nashville \| tennessee row 12 : mideast \| 2 \| auburn university \| memorial coliseum (beard- \| auburn \| alabama row 13 : mideast \| 2 \| northwestern university \| welsh-ryan arena \| evanston \| illinois row 14 : mideast \| 2 \| university of iowa \| carver-hawkeye arena \| iowa city \| indiana row 15 : mideast \| 2 \| university of washington \| hec edmundson pavilion \| seattle \| washington row 16 : midwest \| 1 \| northern illinois university \| chick evans field house \| dekalb \| illinois row 17 : midwest \| 1 \| ohio state university \| st. john arena \| columbus \| ohio row 18 : midwest \| 1 \| university of southern mississippi \| reed green coliseum \| hattiesburg \| mississippi row 19 : midwest \| 1 \| oklahoma state university \| gallagher-iba arena \| stillwater \| oklahoma row 20 : midwest \| 2 \| louisiana tech university \| thomas assembly center \| ruston \| louisiana row 21 : midwest \| 2 \| north carolina state university \| reynolds colise \| raleigh \| north carolina row 22 : midwest \| 2 \| university of texas \| frank erwin center \| austin \| texas row 23 : midwest \| 2 \| purdue university \| mackey arena \| west lafayette \| indiana row 24 : west \| 1 \| long beach state \| university gym (gold mine) \| long beach \| california row 25 : west \| 1 \| university of mississippi \| tad smith colise \| university, mississippi \| mississippi row 26 : west \| 1 \| university of montana \| dahlberg arena \| missoula \| montana row 27 : west \| 1 \| university of arkansas \| barnhill arena \| fayetteville \| arkansas row 28 : west \| 2 \| university of georgia \| georgia coliseum ( \| athens \| georgia row 29 : west \| 2 \| stanford university \| maples pavilion \| stanford \| california ] Execute this SQL based on the above table: select city where region = 'east' and city = 'knoxville'	knoxville
[ header: no. in series \| no. in season \| title \| directed by \| written by \| original air date \| production code row 1 : 125 \| 1 \| "burnin' down the house" \| madeline cripe \| joel madison & \| september 18, 1995 \| 60101 row 2 : 126 \| 2 \| "get a job" \| shelley jensen \| mort scrivner \| september 25, 1995 \| 60102 row 3 : 127 \| 3 \| "stress related" \| shelley jensen \| larry wilmore \| october 2, 1995 \| 60103 row 4 : 128 \| 4 \| "bourgie sings the blues" \| shelley jensen \| tom devanney \| october 9, 1995 \| 60104 row 5 : 129 \| 5 \| "the script formerly known as..." \| shelley jensen \| felicia d. henderson \| october 16, 1995 \| 60105 row 6 : 130 \| 6 \| "not i barbecue" \| madeline cripe \| matt tarses & kand \| october 23, 1995 \| 60106 row 7 : 132 \| 8 \| "viva lost wages" \| shelley jensen \| robert bruce \| november 13, 1995 \| 60108 row 8 : 133 \| 9 \| "there's the rub" (part 1) \| shelley jensen \| joel madison \| november 20, 1995 \| 60109 row 9 : 134 \| 10 \| "there's the rub" (part 2) \| shelley jensen \| joel madison \| november 20, 1995 \| 60110 row 10 : 135 \| 11 \| "i, ooh, baby, \| alfonso ribeiro \| adam markowitz & tom \| december 11, 1995 \| 60111 row 11 : 136 \| 12 \| "boxing helena" \| shelley jensen \| michael soccio \| january 8, 1996 \| 60112 row 12 : 137 \| 13 \| "i, clownius" \| shelley jensen \| story: david wyatt \| january 15, 1996 \| 60115 row 13 : 138 \| 14 \| "breaking up is hard to do" (part \| shelley jensen \| lisa rosenthal \| february 12, 1996 \| 60113 row 14 : 139 \| 15 \| "breaking up is hard to do" (part \| shelley jensen \| lisa rosenthal \| february 19, 1996 \| 60114 row 15 : 140 \| 16 \| "i, bowl buster" \| shelley jensen \| michael soccio \| february 26, 1996 \| 60117 row 16 : 141 \| 17 \| "the butler's son did it" \| madeline cripe \| lisa rosenthal \| march 18, 1996 \| 60116 row 17 : 142 \| 18 \| "hare today..." \| shelley jensen \| robert bruce \| april 8, 1996 \| 60119 row 18 : 143 \| 19 \| "i, whoops, there it is" \| shelley jensen \| tanya ward & mary \| april 15, 1996 \| 60124 row 19 : 144 \| 20 \| "i, stank horse" \| shelley jensen \| tom devanney \| april 22, 1996 \| 60120 row 20 : 145 \| 21 \| "i, stank hole in one" \| werner walian \| matt tarses & michae \| may 6, 1996 \| 60121 row 21 : 146 \| 22 \| "eye, tooth" \| shelley jensen \| adam markowitz \| may 13, 1996 \| 60118 ] Execute this SQL based on the above table: select abs ( no. in series - production code ) where no. in series = 144	59976.0
[ header: date \| result \| opponent \| event \| location \| method \| round \| time row 1 : 2013-12-14 \| loss \| mohamed diaby \| victory, semi finals \| paris, france \| decision \| 3 \| 3:00 row 2 : 2013-03-09 \| None \| juanma chacon \| enfusion live: barcelona \| barcelona, spain \| None \| None \| None row 3 : 2012-05-27 \| loss \| murthel groenhart \| k-1 world max 2012 world championship tournament final \| madrid, spain \| ko (punches) \| 3 \| 3:00 row 4 : 2012-02-11 \| win \| francesco tadiello \| sporthal de zandbergen \| sint-job-in-'t- \| ko \| 1 \| None row 5 : 2012-01-28 \| win \| chris ngimbi \| it's showtime 2012 in leeu \| leeuwarden, netherlands \| tko (cut) \| 2 \| 1:22 row 6 : 2011-09-24 \| loss \| andy souwer \| bfn group & music hall presents \| brussels, belgium \| extra round decision (split) \| 4 \| 3:00 row 7 : 2011-04-09 \| win \| lahcen ait ouss \| le grande ko xi \| liege, belgium \| ko \| 1 \| None row 8 : 2011-02-12 \| win \| henri van opstal \| war of the ring \| amsterdam, netherlands \| decision (unanimous) \| 3 \| 3:00 row 9 : 2010-09-10 \| win \| edson fortes \| ring sensation gala \| utrecht, netherlands \| decision \| 3 \| 3:00 row 10 : 2010-03-21 \| loss \| mohamed khamal \| k-1 world max 2010 west europe tournament \| utrecht, netherlands \| ko (punch) \| 2 \| None row 11 : 2009-11-21 \| win \| seo doo won \| it's showtime 2009 barneveld \| barneveld, netherlands \| tko (referee stop \| 1 \| None row 12 : 2009-09-24 \| win \| chris ngimbi \| it's showtime 2009 lommel \| lommel, belgium \| extra round decision \| 4 \| 4:00 row 13 : 2009-04-11 \| win \| farid riffi \| almelo fight for delight \| almelo, netherlands \| tko \| None \| None row 14 : 2009-03-14 \| win \| viktor sarezki \| war of the ring \| belgium \| ko (punch to the body) \| 1 \| None row 15 : 2009-02-21 \| win \| pedro sedarous \| turnhout gala \| turnhout, belgium \| decision \| 5 \| 3:00 row 16 : 2009-01-31 \| win \| dahou naim \| tielrode gala \| tielrode, belgium \| 2nd extra round decision \| 5 \| 3:00 row 17 : 2008-09-20 \| win \| abdallah mabel \| s-cup europe 2008, reserve bout \| gorinchem, netherlands \| decision \| 3 \| 3:00 row 18 : 2008-09-14 \| win \| jordy sloof \| the outland rumble \| rotterdam, netherlands \| ko (right cross) \| 1 \| None row 19 : 2008-03-08 \| win \| naraim ruben \| lommel gala \| lommel, belgium \| tko (retirement) \| 3 \| None row 20 : 2008-02-23 \| win \| pierre petit \| st. job gala \| st. job, belgium \| ko (right punch) \| 2 \| None ] Execute this SQL based on the above table: select min ( location )	almelo, netherlands
[ header: rank \| mountain peak \| mountain range \| elevation \| prominence \| isolation \| location row 1 : 1 \| mount whitney \| sierra nevada \| 14,505 ft 4421 m \| 10,080 ft 3072 m \| 1,646 mi 2,649 km \| 36°34′43′′n 118° row 2 : 2 \| mount williamson \| sierra nevada \| 14,379 ft 4383 m \| 1,677 ft 511 m \| 5.4 mi 8.7 km \| 36°39′21′′n 118° row 3 : 4 \| north palisade \| sierra nevada \| 14,248 ft 4343 m \| 2,894 ft 882 m \| 32 mi 52 km \| 37°05′39′′n 118° row 4 : 5 \| mount shasta \| cascade range \| 14,179 ft 4322 m \| 9,832 ft 2997 m \| 335 mi 539 km \| 41°24′33′′n 122° row 5 : 6 \| mount humphreys \| sierra nevada \| 13,992 ft 4265 m \| 2,563 ft 781 m \| 15 mi 24 km \| 37°16′14′′n 118° row 6 : 7 \| mount keith \| sierra nevada \| 13,982 ft 4262 m \| 1,936 ft 590 m \| 3.1 mi 5.0 km \| 36°42′00′′n 118° row 7 : 10 \| mount morgan \| sierra nevada \| 13,758 ft 4193 m \| 2,648 ft 807 m \| 10 mi 16 km \| 37°24′19′′n 118° row 8 : 11 \| mount gabb \| sierra nevada \| 13,747 ft 4190 m \| 2,601 ft 793 m \| 4.3 mi 6.9 km \| 37°22′37′′n 118° row 9 : 12 \| mount tom \| sierra nevada \| 13,657 ft 4163 m \| 1,992 ft 607 m \| 4.8 mi 7.7 km \| 37°22′34′′n 119° row 10 : 13 \| mount dubois \| white mountains \| 13,565 ft 4135 m \| 2,339 ft 713 m \| 10 mi 16 km \| 37°47′00′′n 118° row 11 : 15 \| red slate mountain \| sierra nevada \| 13,162 ft 4012 m \| 1,736 ft 529 m \| 8 mi 13 km \| 37°30′27′′n 118° row 12 : 16 \| mount ritter \| sierra nevada \| 13,149 ft 4008 m \| 3,990 ft 1216 m \| 22 mi 35 km \| 37°41′21′′n 119° ] Execute this SQL based on the above table: select location order by id desc limit 1	37°41′21′′n 119°11′59′′w / 37.6891°n 119.1996°w
[ 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 location grown where location grown != 'chequamegon national forest' and species = ( select species where location grown = 'chequamegon national forest' )	ottawa national forest, green mountain national forest
[ header: district \| incumbent \| party \| first elected \| result \| candidates row 1 : pennsylvania 2 \| james m. beck \| republican \| 1927 \| resigned republican hold \| william h. wilson row 2 : pennsylvania 5 \| james j. connolly \| republican \| 1920 \| lost re-election democratic gain \| frank joseph gerard row 3 : pennsylvania 6 \| edward l. sto \| republican \| 1931 \| retired to run for governor democratic gain \| michael j. stack (d row 4 : pennsylvania 7 \| george p. darrow \| republican \| 1914 \| re-elected \| george p. darrow ( row 5 : pennsylvania 10 \| j. roland kinzer \| republican \| 1930 \| re-elected \| j. roland kinzer ( row 6 : pennsylvania 14 \| william emanuel rich \| democratic \| 1932 \| re-elected \| william emanuel rich row 7 : pennsylvania 17 \| j. william ditter \| republican \| 1932 \| re-elected \| j. william ditter ( row 8 : pennsylvania 20 \| thomas cunningham cochran \| republican \| 1926 \| retired democratic gain \| denis j. drisco row 9 : pennsylvania 22 \| harry l. haines \| democratic \| 1930 \| re-elected \| harry l. haines (d row 10 : pennsylvania 23 \| j. banks kurtz \| republican \| 1922 \| lost re-election democratic gain \| don gingery (d) 52.4% ] Execute this SQL based on the above table: select district order by first elected desc limit 1	pennsylvania 14
[ 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 count ( * ) where title is null	0
[ header: team \| truck(s) \| # \| driver(s) \| primary sponsor(s) \| listed owner(s) \| crew chief row 1 : addington racing \| chevrolet silverado \| 60 \| travis kvapil \| cat rental stores \| mike addington \| rick ren row 2 : bobby hamilton racing \| dodge ram \| 4 \| brian rose \| perry connection \| debbie hamilton \| danny rollins row 3 : bobby hamilton racing \| dodge ram \| 8 \| bill lester (r) \| dodge dealers \| bobby hamilton \| kip mccord row 4 : circle bar racing \| ford f-150 \| 14 \| rick crawford \| circle bar motel & rv park \| tom mitchell \| ray stonkus row 5 : countryman motorsports \| ford f-150 \| 15 \| rich bickle \| dickies \| billy ballew \| craig osbourne row 6 : green light racing \| chevrolet silverado \| 8 \| bobby dotter \| people against drugs \| gene christensen \| doug howe row 7 : joe gibbs racing \| chevrolet silverado \| 20 \| coy gibbs \| mbna \| joe gibbs \| doug hewitt row 8 : k automotive racing \| ford f-150 \| 29 \| terry cook \| power stroke diesel \| kay keselowski \| bob keselowski row 9 : l&r racing \| chevrolet silverado \| 90 \| lance norick \| express personnel services \| ron norick \| gary showalter row 10 : morgan-dollar motorsports \| chevrolet silverado \| 46 \| dennis setzer \| acxiom/computer associate \| david dollar \| john monsam row 11 : portenga motorsports \| chevrolet silverado \| 39 \| steve portenga \| roto-rooter \| steve portenga \| george church row 12 : powers motorsports \| dodge ram \| 55 \| tom powers \| university of northwestern ohio \| sherri powers \| bryan berry row 13 : sealmaster racing \| chevrolet silverado \| 88 \| matt crafton \| sealmaster \| duke thorson \| jerry cook row 14 : spears motorsports \| chevrolet silverado \| 75 \| david starr \| spears manufacturing \| wayne spears \| dave mccarty row 15 : tagsby racing \| chevrolet silverado \| 73 \| loni richardson (r) \| intensitee/uti \| joey sonntag \| joey sonntag row 16 : team racing \| chevrolet silverado \| 86 \| dana white (r) \| red line oil/coverall carports \| phil bonifield \| bernie taft row 17 : troxell racing \| chevrolet silverado \| 93 \| jerry allec, jr \| None \| lonnie troxell \| lonnie troxell row 18 : ultra motorsports \| dodge ram \| 1 \| ted musgrave \| mopar \| jim smith \| gene nead row 19 : ultra motorsports \| dodge ram \| 2 \| jason leffler \| team ase racing \| marlene smith \| tim kohuth row 20 : ware racing enterprises \| dodge ram \| 5 \| lance hooper \| diamond cut jeans/blair5.com \| rick ware \| cal northrop row 21 : ware racing enterprises \| dodge ram \| 51 \| michael dokken \| ooida \| rick ware \| ken glen ] Execute this SQL based on the above table: select ( select # where listed owner(s) = 'bobby hamilton' ) > ( select # where listed owner(s) = 'billy ballew' )	1
[ header: category \| speed (km/h) \| speed (mph) \| vehicle \| pilot \| date row 1 : rocket-powered aircraft \| 7258 \| 4510 \| north american x-15 \| william j. knight \| 3 oct 1967 row 2 : manned air-breathing craft \| 3530 \| 2194 \| lockheed sr-71 blackbird \| eldon w. joersz \| 28 jul 1976 row 3 : propeller-driven aircraft \| 870 \| 541 \| tupolev tu-114 \| ivan soukhomline \| 1960 row 4 : piston-engined propeller-driven aircraft \| 850.1 \| 528.33 \| grumman f8f bearcat rare \| lyle shelton \| 21 aug 1989 row 5 : helicopter \| 401 \| 249.1 \| westland lynx 800 g \| john egginton \| 11 aug 1986 row 6 : glider (sailplane) \| 306.8 \| 190.6 \| schempp-hirth nim \| klaus ohlmann and \| 22 dec 2006 row 7 : human-powered aircraft \| 32 \| 19.8 \| mit monarch b \| frank scarabino \| 1 may 1984 ] Execute this SQL based on the above table: select vehicle where vehicle != 'north american x-15' and date = '11 aug 1986'	westland lynx 800 g-lynx
[ header: pick \| player \| team \| position \| school row 1 : 1 \| ben mcdonald \| baltimore orioles \| rhp \| louisiana state university row 2 : 2 \| tyler houston \| atlanta braves \| c \| valley hs (las vegas row 3 : 3 \| roger salkeld \| seattle mariners \| rhp \| saugus (ca) hs row 4 : 4 \| jeff jackson \| philadelphia phillies \| of \| simeon hs (chicago row 5 : 5 \| donald harris \| texas rangers \| of \| texas tech university row 6 : 6 \| paul coleman \| saint louis cardinals \| of \| frankston (tx) h row 7 : 7 \| frank thomas \| chicago white sox \| 1b \| auburn university row 8 : 8 \| earl cunningham \| chicago cubs \| of \| lancaster (sc) hs row 9 : 9 \| kyle abbott \| california angels \| lhp \| long beach state university row 10 : 10 \| charles johnson \| montreal expos \| c \| westwood hs (fort pier row 11 : 11 \| calvin murray \| cleveland indians \| 3b \| w.t. white high school (d row 12 : 12 \| jeff juden \| houston astros \| rhp \| salem (ma) hs row 13 : 13 \| brent mayne \| kansas city royals \| c \| cal state fullerton row 14 : 14 \| steve hosey \| san francisco giants \| of \| fresno state university row 15 : 15 \| kiki jones \| los angeles dodgers \| rhp \| hillsborough hs (tampa, row 16 : 16 \| greg blosser \| boston red sox \| of \| sarasota (fl row 17 : 17 \| cal eldred \| milwaukee brewers \| rhp \| university of iowa row 18 : 18 \| willie greene \| pittsburgh pirates \| ss \| jones county hs (gray row 19 : 19 \| eddie zosky \| toronto blue jays \| ss \| fresno state university row 20 : 20 \| scott bryant \| cincinnati reds \| of \| university of texas row 21 : 21 \| greg gohr \| detroit tigers \| rhp \| santa clara university row 22 : 22 \| tom goodwin \| los angeles dodgers \| of \| fresno state university row 23 : 23 \| mo vaughn \| boston red sox \| 1b \| seton hall university row 24 : 24 \| alan zinter \| new york mets \| c \| university of arizona row 25 : 25 \| chuck knoblauch \| minnesota twins \| 2b \| texas a&m university row 26 : 26 \| scott burrell \| seattle mariners \| rhp \| hamden (ct) hs ] Execute this SQL based on the above table: select count ( * ) where team = 'toronto blue jays'	1
[ header: year \| award \| group \| result \| notes row 1 : 2004 \| black reel awards \| best actor: drama \| nominated \| the human stain (film) row 2 : 2004 \| black reel awards \| best breakthrough performance \| nominated \| the human stain (film) row 3 : 2006 \| academy of science fiction, fantasy & horror films \| best actor on television \| nominated \| prison break row 4 : 2006 \| teen choice awards \| tv - choice actor \| nominated \| prison break row 5 : 2006 \| teen choice awards \| tv - choice breakout star \| nominated \| prison break row 6 : 2006 \| golden globes awards \| best performance by an actor in a television series \| nominated \| prison break row 7 : 2007 \| teen choice awards \| choice tv actor: drama \| nominated \| prison break row 8 : 2008 \| teen choice awards \| choice tv actor: action adventure \| nominated \| prison break row 9 : 2014 \| fangoria chainsaw awards \| best screenplay \| pending \| stoker (film) ] Execute this SQL based on the above table: select year where award = 'teen choice awards' and result = 'nominated'	2006, 2006, 2007, 2008
[ header: # \| event year \| season \| flag bearer row 1 : 10 \| 2012 \| summer \| nino salukvadze row 2 : 9 \| 2010 \| winter \| iason abramashvili row 3 : 8 \| 2008 \| summer \| ramaz nozadze row 4 : 7 \| 2006 \| winter \| vakhtang murvanidze row 5 : 6 \| 2004 \| summer \| zurab zviadauri row 6 : 5 \| 2002 \| winter \| sofia akhmeteli row 7 : 4 \| 2000 \| summer \| giorgi asanidze row 8 : 3 \| 1998 \| winter \| sofia akhmeteli row 9 : 2 \| 1996 \| summer \| giorgi k'andel row 10 : 1 \| 1994 \| winter \| zurab dzhidzhishvil ] Execute this SQL based on the above table: select abs ( ( select # where flag bearer = 'sofia akhmeteli' ) - ( select # where flag bearer = 'zurab dzhidzhishvili' ) )	4.0
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 7 \| jo bonnier \| brm \| 75 \| 2:05:26.8 \| 1 \| 8 row 2 : 2 \| 8 \| jack brabham \| cooper-climax \| 75 \| + 14.2 \| 2 \| 6 row 3 : 3 \| 9 \| masten gregory \| cooper-climax \| 75 \| + 1:23.0 \| 7 \| 4 row 4 : 4 \| 12 \| innes ireland \| lotus-climax \| 74 \| + 1 lap \| 9 \| 3 row 5 : 5 \| 1 \| jean behra \| ferrari \| 74 \| + 1 lap \| 4 \| 2 row 6 : 6 \| 3 \| phil hill \| ferrari \| 73 \| + 2 laps \| 12 \| None row 7 : 7 \| 14 \| graham hill \| lotus-climax \| 73 \| + 2 laps \| 5 \| None row 8 : 8 \| 10 \| maurice trintignant \| cooper-climax \| 73 \| + 2 laps \| 11 \| None row 9 : 9 \| 16 \| cliff allison \| ferrari \| 71 \| + 4 laps \| 15 \| None row 10 : 10 \| 15 \| carel godin de beaufort \| porsche \| 68 \| + 7 laps \| 14 \| None row 11 : ret \| 11 \| stirling moss \| cooper-climax \| 62 \| gearbox \| 3 \| 1 row 12 : ret \| 6 \| harry schell \| brm \| 46 \| gearbox \| 6 \| None row 13 : ret \| 2 \| tony brooks \| ferrari \| 42 \| oil leak \| 8 \| None row 14 : ret \| 5 \| carroll shelby \| aston martin \| 25 \| engine \| 10 \| None row 15 : ret \| 4 \| roy salvadori \| aston martin \| 3 \| engine \| 13 \| None ] Execute this SQL based on the above table: select count ( constructor ) where driver = 'carroll shelby'	1
[ header: year \| japanese title \| english title \| role \| network row 1 : 1997 \| あくり \| agri \| None \| nhk row 2 : 1998 \| ラフアントヒース \| love & peace \| yohei horiguchi \| ntv row 3 : 2001 \| ネハーラント \| neverland \| osamu seto \| tbs row 4 : 2002 \| hito ni yasashi \| be nice to people \| yusuke \| fuji tv row 5 : 2002 \| engimono (演技者) \| acting by \| hachida \| fuji tv row 6 : 2004 \| kino wa tomo kyo \| None \| None \| None row 7 : 2005 \| dekabeya (六本木おかしな捜査班) \| funny roppongi squad \| yukio ochi \| tv asahi row 8 : 2005 \| asuka e, soshite \| to asuka and to the unseen \| sawamura kazuya \| fuji tv row 9 : 2005 \| nemureru mori no s \| sleeping corpse \| eiji/yamazaki \| fuji tv row 10 : 2006 \| アキハハラ@deep \| akihabara@deep \| box \| tbs row 11 : 2007 \| hana yori dango returns \| boys over flowers 2 \| junpei oribe \| tbs row 12 : 2007 \| hanazakari no kimitachi \| ikemen paradise \| shuichi nakatsu \| fuji tv row 13 : 2008 \| hachimitsu to clover (ハチミツとクローハー) \| honey & clover \| yuta takemoto \| fuji tv row 14 : 2008 \| hanazakari no kimitachi \| ikemen paradise \| shuichi nakatsu \| fuji tv row 15 : 2008 \| mao \| devil \| naoto serizawa \| tbs row 16 : 2009 \| inochi naki mono no k \| voice \| ryosuke ishimatsu \| fuji tv row 17 : 2009 \| majo saiban (魔女裁判) \| the witch trial \| toru yoshioka \| fuji tv row 18 : 2009 \| yonimo \"kim\ \| the law of recycling suicides \| r 8427 \| None row 19 : 2010 \| unobore deka (うぬほれ刑事) \| conceited detective \| sadame honjo \| tbs row 20 : 2010 \| kyuukei no kou \| spherical wilderness \| shoichi soeda \| fuji tv row 21 : 2012 \| osozaki no himawari \| late blooming sunflower -my life renewed- \| jotaro kodaira \| fuji tv row 22 : 2014 \| gunshi kanbei \| None \| dom justo takayama \| nhk ] Execute this SQL based on the above table: select japanese title where year < ( select max ( year ) ) order by year desc limit 1	osozaki no himawari ~boku no jinsei, renewal~
[ header: year \| date \| title \| format(s) \| award description(s) \| result(s) row 1 : 1987 \| july 28 \| whitney \| album \| gold \| won row 2 : 1987 \| july 28 \| whitney \| album \| platinum \| won row 3 : 1987 \| july 28 \| whitney \| album \| 2× multi-platinum \| won row 4 : 1987 \| july 28 \| "i wanna dance with somebody (who loves \| single \| gold \| won row 5 : 1987 \| august 4 \| whitney \| album \| 3× multi-platinum \| won row 6 : 1987 \| september 30 \| whitney \| album \| 4× multi-platinum \| won row 7 : 1987 \| november 20 \| whitney \| album \| 5× multi-platinum \| won row 8 : 1988 \| april 18 \| whitney \| album \| 6× multi-platinum \| won row 9 : 1989 \| february 13 \| "i wanna dance with somebody (who loves \| single \| platinum \| won row 10 : 1993 \| june 23 \| whitney \| album \| 7× multi-platinum \| won row 11 : 1994 \| november 29 \| whitney \| album \| 8× multi-platinum \| won row 12 : 1995 \| november 29 \| whitney \| album \| 9× multi-platinum \| won row 13 : 1995 \| december 6 \| "so emotional" \| single \| gold \| won ] Execute this SQL based on the above table: select year where title = 'whitney'	1987, 1987, 1987, 1987, 1987, 1987, 1988, 1993, 1994, 1995
[ header: township \| fips \| population center \| population \| population density (/mi2) \| population density (/km2) \| land area (mi2) \| land area (km2) \| water area (mi2) \| water area (km2) \| geographic coordinates row 1 : center \| 90735 \| None \| 515 \| 36.8 \| 14.2 \| 13.99 \| 36.23 \| 0.0339 \| 0.0878 \| 35°24′20′′n 92° row 2 : clark \| 90813 \| london \| 2969 \| 115.3 \| 44.6 \| 25.73 \| 66.64 \| 6.0444 \| 15.6549 \| 35°19′45′′n 93° row 3 : convenience \| 90921 \| None \| 933 \| 50.4 \| 19.4 \| 18.53 \| 47.99 \| 0.0942 \| 0.244 \| 35°20′00′′n 92° row 4 : dover \| 91134 \| dover \| 5277 \| 119.1 \| 46 \| 44.29 \| 114.7 \| 0.3637 \| 0.942 \| 35°23′30′′n 93° row 5 : freeman \| 91377 \| None \| 98 \| 0.8 \| 0.3 \| 119.78 \| 310.2 \| 0 \| 0 \| 35°39′10′′n 93° row 6 : galla \| 91407 \| pottsville \| 3523 \| 88.7 \| 34.3 \| 39.71 \| 102.8 \| 1.841 \| 4.7682 \| 35°13′15′′n 93° row 7 : griffin \| 91536 \| None \| 901 \| 26.5 \| 10.2 \| 33.96 \| 87.96 \| 0.1106 \| 0.2865 \| 35°25′30′′n 92° row 8 : illinois \| 91812 \| russellville \| 25841 \| 540.9 \| 208.9 \| 47.77 \| 123.7 \| 6.6022 \| 17.0996 \| 35°17′00′′n 93° row 9 : liberty \| 92181 \| None \| 805 \| 14.2 \| 5.5 \| 56.64 \| 146.7 \| 0.0028 \| 0.0073 \| 35°29′40′′n 93° row 10 : martin \| 92415 \| None \| 1482 \| 23.7 \| 9.2 \| 62.46 \| 161.8 \| 0.3931 \| 1.0181 \| 35°28′25′′n 93° row 11 : phoenix \| 92871 \| None \| 334 \| 26.7 \| 10.3 \| 12.51 \| 32.4 \| 0 \| 0 \| 35°24′30′′n 93° row 12 : smyrna \| 93420 \| None \| 173 \| 2.4 \| 0.9 \| 70.69 \| 183.1 \| 0.0218 \| 0.0565 \| 35°38′10′′n 92° row 13 : valley \| 93765 \| None \| 2776 \| 125.7 \| 48.5 \| 22.09 \| 57.21 \| 0.0144 \| 0.0373 \| 35°20′05′′n 93° ] Execute this SQL based on the above table: select count ( township )	13
[ header: round \| opponent \| result \| bro. \| opp. \| date \| venue \| crowd \| position row 1 : 1 \| auckland warriors \| win \| 14 \| 2 \| 1 mar \| anz stadium \| 42361 \| 2/10 row 2 : 2 \| adelaide rams \| win \| 28 \| 12 \| 9 mar \| anz stadium \| 16279 \| 1/10 row 3 : 3 \| perth reds \| win \| 26 \| 16 \| 16 mar \| waca ground \| 11109 \| 2/10 row 4 : 4 \| canberra raiders \| win \| 24 \| 8 \| 24 mar \| anz stadium \| 26103 \| 2/10 row 5 : 5 \| cronulla sharks \| win \| 14 \| 12 \| 31 mar \| anz stadium \| 17294 \| 1/10 row 6 : 6 \| north queensland cowboys \| win \| 42 \| 16 \| 5 apr \| stockland stadium \| 30122 \| 1/10 row 7 : 7 \| adelaide rams \| win \| 20 \| 10 \| 13 apr \| adelaide oval \| 17633 \| 1/10 row 8 : 8 \| penrith panthers \| loss \| 26 \| 27 \| 21 apr \| penrith football stadium \| 12648 \| 1/10 row 9 : 9 \| canterbury bulldogs \| win \| 34 \| 16 \| 28 apr \| anz stadium \| 17921 \| 1/10 row 10 : 10 \| auckland warriors \| win \| 34 \| 18 \| 4 may \| mt smart stadium \| 16471 \| 1/10 row 11 : 11 \| north queensland cowboys \| draw \| 20 \| 20 \| 25 may \| anz stadium \| 14167 \| 1/10 row 12 : 12 \| hunter mariners \| loss \| 6 \| 24 \| 30 may \| topper stadium \| 7124 \| 1/10 row 13 : 13 \| cronulla sharks \| loss \| 4 \| 32 \| 30 jun \| endeavour field \| 12240 \| 1/10 row 14 : 14 \| perth reds \| win \| 50 \| 14 \| 6 jul \| anz stadium \| 11806 \| 1/10 row 15 : 15 \| canberra raiders \| win \| 19 \| 4 \| 14 jul \| bruce stadium \| 13067 \| 1/10 row 16 : 16 \| penrith panthers \| win \| 54 \| 12 \| 10 aug \| anz stadium \| 13921 \| 1/10 row 17 : 17 \| hunter mariners \| win \| 34 \| 16 \| 18 aug \| anz stadium \| 13830 \| 1/10 row 18 : 18 \| canterbury bulldogs \| win \| 32 \| 24 \| 25 aug \| belmore oval \| 9781 \| 1/10 row 19 : semi final \| cronulla sharks \| win \| 34 \| 2 \| 6 sep \| stockland stadium \| 26256 \| None row 20 : grand final \| cronulla sharks \| win \| 26 \| 8 \| 20 sep \| anz stadium \| 58912 \| None ] Execute this SQL based on the above table: select round where bro. = 54	16
[ header: no. \| title \| directed by \| written by \| original air date row 1 : 1 \| "reunion" \| bryan spicer \| patrick massett & john \| january 27, 2003 row 2 : 2 \| "antarctica" \| perry lang \| patrick massett & john \| february 3, 2003 row 3 : 3 \| "skulls" \| adam nimoy \| patrick massett & john \| february 10, 2003 row 4 : 4 \| "heist" \| rick kolbe \| rick kellard \| march 10, 2003 row 5 : 5 \| "the wheel of dharma" \| r. w. goodwin \| stephanie bloch-chambers \| None row 6 : 6 \| "sangraal" \| perry lang \| gabrielle stanton & harry \| None row 7 : 7 \| "mummy virus" \| vern gillum \| rick kellard & thani \| None row 8 : 8 \| "name of god" \| michael nankin \| brad falchuk \| None row 9 : 9 \| "devil's child" \| tom wright \| thania st. john \| None row 10 : 10 \| "avalon" \| dwight little \| i. c. rapoport \| None row 11 : 11 \| "the lost codex" \| tom wright \| gabrielle stanton & harry \| None row 12 : 12 \| "eternal" \| fred gerber \| thania st. john \| None row 13 : 13 \| "helmholtz resonance" \| larry shaw \| patrick massett & john \| None ] Execute this SQL based on the above table: select count ( title ) where title = '"mummy virus"'	1
[ 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 sum ( year )	15805
[ 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 max ( year ) where league = 'usl pdl'	2013
[ header: series \| year \| rank \| average audience share row 1 : 1 \| 1992 \| None \| 14.50m row 2 : 2 \| 1993 \| None \| None row 3 : 3 \| 1993 \| None \| None row 4 : 4 \| 1994 \| None \| None row 5 : 5 \| 1995 \| None \| None row 6 : 6 \| 1996 \| None \| 14.60m row 7 : 7 \| 1997-1998 \| None \| 15.82m row 8 : 8 \| 1998-1999 \| 5th \| 14.35m row 9 : 9 \| 1999-2000 \| 6th \| 13.71m row 10 : 10 \| 2000-2001 \| 5th \| 13.21m row 11 : 11 \| 2001-2002 \| 6th \| 10.77m row 12 : 12 \| 2002-2003 \| 7th \| 11.29m row 13 : 13 \| 2003-2004 \| 8th \| 13.11m row 14 : 14 \| 2004-2005 \| 10th \| 8.77m row 15 : 15 \| 2005-2006 \| 10th \| 8.42m row 16 : 16 \| 2006-2007 \| 8th \| 7.80m row 17 : 17 \| 2007-2008 \| 11th \| 6.90m row 18 : 18 \| 2008-2010 \| 15th \| 5.44m (incl. itv ] Execute this SQL based on the above table: select rank where id = ( select id where rank = '7th' ) - 1	6th
[ header: season \| premiere date \| the winner \| runner-up \| finalists \| contestants in order of elimination \| number of contestants \| number of concerts row 1 : af1 \| june 21, 2004 \| vit (v2) \| jeen (v1) \| aof (v6), z- \| joomjim (v5), por \| 12 \| 9 row 2 : af2 \| july 18, 2005 \| aof (v4) \| pat (v6) \| boy (v8), pas (v9), \| joe (v12), loog \| 12 \| 12 row 3 : af4 \| june 18, 2007 \| nat (v1) \| tol (v9) \| papang (v3), music (v8) \| cat (v11), tee ( \| 12 (20) \| 13 row 4 : af5 \| may 12, 2008 \| natthew (v13) \| ron (v12) \| pump (v8), good (v10), \| green (v16), micky (v6) \| 12 (16) \| 12 row 5 : af6 \| june 28, 2009 \| zani (v6) \| ann (v10) \| tee (v5), & \| koonjae-sal ( \| 12 \| 12 row 6 : af7 \| june 27, 2010 \| por (v12) \| ton (v13) \| boss (v10), new (v4), \| pum (v7), ben (v \| 12 (100) \| 12 row 7 : af9 \| june 3, 2012 \| ice (v8) \| zo (v1) \| bright(v5), nest(v7) \| k (v6), sunny (v11 \| 12 (24) \| 15 row 8 : af10 \| june 23, 2013 \| tungbeer (v20) \| tayme (v6) \| tuey (v21), beam \| tung (v13), taeng \| 24 \| 12 ] Execute this SQL based on the above table: select ( select number of concerts where the winner = 'zani (v6)' ) >= 13	0
[ header: pos \| rider \| manufacturer \| laps \| time/retired \| grid \| points row 1 : 1 \| manuel poggiali \| gilera \| 25 \| 41:18.211 \| 1 \| 25 row 2 : 2 \| dani pedrosa \| honda \| 25 \| 0.019 \| 4 \| 20 row 3 : 3 \| steve jenkner \| aprilia \| 25 \| 9.888 \| 3 \| 16 row 4 : 4 \| lucio cecchinello \| aprilia \| 25 \| 15.397 \| 5 \| 13 row 5 : 5 \| simone sanna \| aprilia \| 25 \| 15.452 \| 8 \| 11 row 6 : 6 \| joan olive \| honda \| 25 \| 15.486 \| 20 \| 10 row 7 : 7 \| stefano bianco \| aprilia \| 25 \| 15.549 \| 11 \| 9 row 8 : 8 \| pablo nieto \| aprilia \| 25 \| 16.218 \| 2 \| 8 row 9 : 9 \| mika kallio \| honda \| 25 \| 22.762 \| 10 \| 7 row 10 : 10 \| mirko giansanti \| honda \| 25 \| 22.839 \| 16 \| 6 row 11 : 11 \| arnaud vincent \| aprilia \| 25 \| 23.067 \| 23 \| 5 row 12 : 12 \| andrea ballerini \| honda \| 25 \| 23.134 \| 18 \| 4 row 13 : 13 \| stefano perugini \| italjet \| 25 \| 43.345 \| 17 \| 3 row 14 : 14 \| jorge lorenzo \| derbi \| 25 \| 43.973 \| 7 \| 2 row 15 : 15 \| masao azuma \| honda \| 25 \| 47.189 \| 13 \| 1 row 16 : 16 \| jakub smrz \| honda \| 25 \| 47.333 \| 24 \| None row 17 : 17 \| gianluigi scalvini \| aprilia \| 25 \| 52 \| 22 \| None row 18 : 18 \| hector barbera \| aprilia \| 25 \| +1:11.358 \| 27 \| None row 19 : 19 \| mattia angeloni \| gilera \| 25 \| +1:11.488 \| 29 \| None row 20 : 20 \| alex baldolini \| aprilia \| 25 \| +1:21.603 \| 32 \| None row 21 : 21 \| jaroslav hules \| aprilia \| 25 \| +1:21.681 \| 15 \| None row 22 : 22 \| julian simon \| honda \| 25 \| +1:31.723 \| 26 \| None row 23 : 23 \| imre toth \| honda \| 25 \| +1:31.794 \| 31 \| None row 24 : 24 \| leon camier \| italjet \| 24 \| +1 lap \| 33 \| None row 25 : ret \| chaz davies \| aprilia \| 18 \| retirement \| 21 \| None row 26 : ret \| michel fabrizio \| gilera \| 14 \| accident \| 19 \| None row 27 : ret \| youichi ui \| derbi \| 13 \| accident \| 6 \| None row 28 : ret \| alex de angelis \| aprilia \| 13 \| accident \| 12 \| None row 29 : ret \| angel rodriguez \| aprilia \| 4 \| retirement \| 25 \| None row 30 : ret \| gino borsoi \| aprilia \| 0 \| accident \| 9 \| None row 31 : ret \| andrea dovizioso \| honda \| 0 \| accident \| 14 \| None row 32 : ret \| alessandro brannetti \| honda \| 0 \| accident \| 30 \| None row 33 : ret \| alvaro bautista \| aprilia \| 0 \| accident \| 28 \| None row 34 : dnq \| javier machado \| honda \| None \| None \| None \| None ] Execute this SQL based on the above table: select sum ( grid ) where id in ( select id order by grid desc limit 1308 )	561.0
[ header: song \| artist(s) \| concert \| film \| 1978 album \| 2002 album row 1 : "up on cripple creek" \| the band \| 1 \| 3 \| 2 \| 2 row 2 : "it makes no difference" \| the band \| 3 \| 6 \| 8 \| 4 row 3 : "this wheel's on fire" \| the band \| 5 \| None \| None \| 10 row 4 : "w.s. walcott medicine show \| the band \| 6 \| None \| None \| 26 row 5 : "georgia on my mind" \| the band \| 7 \| None \| None \| None row 6 : "ophelia" \| the band \| 8 \| 20 \| 16 \| 18 row 7 : "king harvest (has surely come)" \| the band \| 9 \| None \| None \| None row 8 : "rag mama rag" \| the band \| 12 \| None \| None \| 15 row 9 : "such a night" \| dr. john \| 14 \| 8 \| 9 \| 7 row 10 : "down south in new orleans" \| bobby charles and dr \| 15 \| None \| 15 \| 9 row 11 : "mystery train" \| paul butterfield \| 16 \| 15 \| 11 \| 11 row 12 : "caldonia" \| muddy waters \| 17 \| None \| None \| 12 row 13 : "all our past times" \| eric clapton \| 19 \| None \| None \| 16 row 14 : "further on up the road" \| eric clapton \| 20 \| 17 \| 13 \| 17 row 15 : "four strong winds" \| neil young \| 22 \| None \| None \| 20 row 16 : "shadows and light" \| joni mitchell \| 24 \| None \| None \| 22 row 17 : "furry sings the blues" \| joni mitchell \| 25 \| None \| None \| 23 row 18 : "dry your eyes" \| neil diamond \| 26 \| 13 \| 7 \| 25 row 19 : "tura lura lural (that \| van morrison \| 27 \| None \| 17 \| 27 row 20 : "caravan" \| van morrison \| 28 \| 21 \| 18 \| 28 row 21 : "genetic method"/"chest fever \| the band \| 30 \| 19 \| None \| 30 row 22 : "the last waltz suite: \| the band \| 31 \| None \| None \| None row 23 : "baby, let me follow you down" \| bob dylan \| 33 \| None \| 20 \| 31 row 24 : "hazel" \| bob dylan \| 34 \| None \| None \| 32 row 25 : "i don't believe you" \| bob dylan \| 35 \| None \| 21 \| 33 row 26 : "forever young" \| bob dylan \| 36 \| 23 \| 22 \| 34 row 27 : "jam #2" \| neil young, ronnie \| 40 \| None \| None \| 38 row 28 : "don't do it" \| the band \| 41 \| 1 \| None \| 39 row 29 : "greensleeves" \| the band \| 42 \| None \| None \| 40 row 30 : introduction to the canterbury tales in \| michael mcclure \| None \| 7 \| None \| None row 31 : "the weight" (studio version) \| the band and the staple singers \| None \| 11 \| 29 \| 44 row 32 : "evangeline" (studio version) \| the band and emmylou \| None \| 18 \| 27 \| None row 33 : "loud prayer" \| lawrence ferlinghetti \| None \| 22 \| None \| None ] Execute this SQL based on the above table: select artist(s) where artist(s) in ( 'the band' , 'van morrison' ) order by film asc limit 1	the band
[ header: rnd. \| pick # \| nfl team \| player \| pos. \| college \| conf. \| notes row 1 : 1 \| 1 \| oakland raiders \| jamarcus russell \| qb \| lsu \| sec \| None row 2 : 1 \| 6 \| washington redskins \| laron landry \| s \| lsu \| sec \| None row 3 : 1 \| 22 \| cleveland browns \| brady quinn \| qb \| notre dame \| ind \| from dallas row 4 : 2 \| 35 \| tampa bay buccaneers \| arron sears \| g \| tennessee \| sec \| None row 5 : 2 \| 52 \| st. louis rams \| brian leonard \| fb \| rutgers \| big east \| None row 6 : 3 \| 71 \| miami dolphins \| lorenzo booker \| rb \| florida state \| acc \| None row 7 : 3 \| 77 \| pittsburgh steelers \| matt spaeth \| te \| minnesota \| big ten \| None row 8 : 3 \| 78 \| green bay packers \| james jones \| wr \| san jose state \| wac \| None row 9 : 3 \| 79 \| jacksonville jaguars \| mike sims-walker \| wr \| central florida \| c-usa \| None row 10 : 3 \| 85 \| seattle seahawks \| brandon mebane \| dt \| california \| pac-10 \| None row 11 : 4 \| 127 \| new england patriots \| kareem brown \| dt \| miami (fl) \| acc \| None row 12 : 5 \| 161 \| seattle seahawks \| will herring \| lb \| auburn \| sec \| None row 13 : 5 \| 164 \| carolina panthers \| tim shaw \| lb \| penn state \| big ten \| from new york jets row 14 : 6 \| 177 \| new york jets \| jacob bender \| ot \| nicholls state \| southland \| from tampa bay row 15 : 6 \| 178 \| dallas cowboys \| nick folk \| k \| arizona \| pac-10 \| from cleveland row 16 : 6 \| 204 \| tennessee titans \| jacob ford \| de \| central arkansas \| ind \| from san diego row 17 : 7 \| 214 \| tampa bay buccaneers \| chris denman \| ot \| fresno state \| wac \| None row 18 : 7 \| 217 \| minnesota vikings \| tyler thigpen \| qb \| coastal carolina \| big south \| None row 19 : 7 \| 222 \| buffalo bills \| derek schouman \| te \| boise state \| wac \| None row 20 : 7 \| 230 \| cincinnati bengals \| dan santucci \| g \| notre dame \| ind \| None row 21 : 7 \| 248 \| st. louis rams \| keith jackson, jr \| dt \| arkansas \| sec \| None ] Execute this SQL based on the above table: select count ( notes ) where pick # > 1139	0
[ 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 illustrator where year < ( select year where illustrator = 'mcnaughton' ) order by year desc limit 1	blake
[ header: affiliation \| house members 2000 election results \| house members at dissolution \| senate members on election day 2000 \| senate members at dissolution row 1 : liberal party of canada \| 172 \| 168 \| 55 \| 65 row 2 : canadian alliance \| 66 \| None \| 1 \| None row 3 : bloc quebecois \| 38 \| 33 \| 0 \| 0 row 4 : new democratic party \| 13 \| 14 \| 0 \| 0 row 5 : progressive conservative \| 12 \| None \| 35 \| None row 6 : progressive conservative (senate caucus \| None \| None \| None \| 3 row 7 : conservative party of canada \| None \| 72 \| None \| 24 row 8 : independent \| 0 \| 10 \| 5 \| 5 row 9 : total members \| 301 \| 297 \| 96 \| 97 row 10 : vacant \| 0 \| 4 \| 9 \| 8 row 11 : total seats \| 301 \| 301 \| 105 \| 105 ] Execute this SQL based on the above table: select affiliation order by house members 2000 election results asc limit 1	progressive conservative (senate caucus)
[ header: year \| song \| u.s. \| u.s. r&b \| u.s. ac \| uk \| album row 1 : 1986 \| "strollin' on" \| None \| None \| None \| 32 \| intentions row 2 : 1986 \| "in the springtime" \| None \| None \| None \| 54 \| you're safe row 3 : 1986 \| "crazy love" \| None \| None \| None \| 67 \| intentions row 4 : 1987 \| "let me know" \| None \| None \| None \| 49 \| intentions row 5 : 1987 \| "woman in you" \| None \| None \| None \| None \| intentions row 6 : 1987 \| "some guys have all the luck" \| None \| None \| None \| 12 \| None row 7 : 1989 \| "wild world" \| 25 \| None \| None \| 5 \| maxi priest row 8 : 1990 \| "human work of art" \| None \| None \| None \| 71 \| bonafide row 9 : 1990 \| "close to you" \| 1 \| 2 \| 15 \| 7 \| bonafide row 10 : 1990 \| "just a little bit longer" \| 62 \| 30 \| None \| 62 \| bonafide row 11 : 1991 \| "space in my heart" \| None \| 76 \| None \| None \| bonafide row 12 : 1991 \| "set the night to music" (with \| 6 \| 45 \| 2 \| None \| set the night to music (roberta row 13 : 1992 \| "groovin' in the midnight" \| 63 \| 29 \| None \| 50 \| fe real row 14 : 1993 \| "one more chance" \| None \| 77 \| None \| 40 \| fe real row 15 : 1996 \| "that girl" (with shaggy) \| 20 \| 34 \| None \| 15 \| man with the fun row 16 : 1996 \| "watching the world go by" \| None \| None \| None \| 36 \| man with the fun row 17 : 2009 \| "2 play feat maxi priest - that \| None \| None \| None \| None \| None ] Execute this SQL based on the above table: select album group by album order by count ( * ) desc limit 1	intentions
[ header: week \| date \| opponent \| result \| attendance \| bye row 1 : 1 \| september 1, 1991 \| minnesota vikings \| w 10-6 \| 64112 \| 0 row 2 : 2 \| september 8, 1991 \| at tampa bay buccaneers \| w 21-20 \| 65625 \| 0 row 3 : 3 \| september 15, 1991 \| new york giants \| w 20-17 \| 64829 \| 0 row 4 : 4 \| september 23, 1991 \| new york jets \| w 19-13 \| 65255 \| 0 row 5 : 5 \| september 29, 1991 \| at buffalo bills \| l 35-20 \| 80366 \| 0 row 6 : 6 \| october 6, 1991 \| washington redskins \| l 20-7 \| 64941 \| 0 row 7 : 7 \| None \| None \| None \| None \| 1 row 8 : 8 \| october 17, 1991 \| at green bay packers \| w 10-0 \| 58435 \| 0 row 9 : 9 \| october 27, 1991 \| at new orleans saints \| w 20-17 \| 68591 \| 0 row 10 : 10 \| november 3, 1991 \| detroit lions \| w 20-10 \| 57281 \| 0 row 11 : 11 \| november 11, 1991 \| at minnesota vikings \| w 34-17 \| 59001 \| 0 row 12 : 12 \| november 17, 1991 \| at indianapolis colts \| w 31-17 \| 60519 \| 0 row 13 : 13 \| november 24, 1991 \| miami dolphins \| l 16-13 \| 58288 \| 0 row 14 : 14 \| november 28, 1991 \| at detroit lions \| l 16-6 \| 78879 \| 0 row 15 : 15 \| december 8, 1991 \| green bay packers \| w 27-13 \| 62353 \| 0 row 16 : 16 \| december 14, 1991 \| tampa bay buccaneers \| w 27-0 \| 54719 \| 0 row 17 : 17 \| december 23, 1991 \| at san francisco 49ers \| l 52-14 \| 60419 \| 0 ] Execute this SQL based on the above table: select bye order by week desc limit 1	0
[ header: township \| fips \| population center \| population \| population density /km2 (/sq mi) \| land area km2 (sq mi) \| water area km2 (sq mi) \| water % \| geographic coordinates row 1 : alexandria \| 1100 \| None \| 859 \| 7 (18) \| 123 (48) \| 1 (0) \| 0.62% \| 39°16′8′′n 95°7 row 2 : delaware \| 17450 \| None \| 1361 \| 22 (57) \| 62 (24) \| 3 (1) \| 4.19% \| 39°14′50′′n 94° row 3 : easton \| 19625 \| None \| 1245 \| 11 (30) \| 109 (42) \| 0 (0) \| 0.11% \| 39°21′57′′n 95°7 row 4 : fairmount \| 22325 \| basehor \| 6266 \| 61 (159) \| 102 (39) \| 0 (0) \| 0.39% \| 39°8′4′′n 94° row 5 : high prairie \| 32125 \| None \| 1768 \| 14 (37) \| 124 (48) \| 0 (0) \| 0.27% \| 39°15′30′′n 95°0 row 6 : kickapoo \| 36700 \| None \| 1760 \| 15 (40) \| 114 (44) \| 3 (1) \| 2.39% \| 39°20′45′′n 94° row 7 : reno \| 58950 \| None \| 1143 \| 10 (27) \| 111 (43) \| 2 (1) \| 1.56% \| 39°1′8′′n 95°8 row 8 : sherman \| 65000 \| None \| 2367 \| 22 (57) \| 108 (42) \| 3 (1) \| 2.44% \| 39°0′59′′n 95°0 row 9 : stranger \| 68500 \| None \| 2451 \| 19 (50) \| 127 (49) \| 0 (0) \| 0.17% \| 39°8′16′′n 95°2 row 10 : tonganoxie \| 70825 \| tonganoxie (part) \| 4852 \| 35 (91) \| 137 (53) \| 1 (0) \| 0.66% \| 39°7′0′′n 95°6 ] Execute this SQL based on the above table: select population center where population > 310	basehor, tonganoxie (part)
[ header: album/single \| performer \| year \| variant \| notes row 1 : the english and scottish popular balla \| ewan maccoll \| 1956 \| gil morice \| the earliest known professional recording (8'37") row 2 : blood and roses vol 2 \| ewan maccoll \| 1981 \| child maurice \| this is a different version from maccoll row 3 : right of passage \| martin carthy \| 1988 \| bill norrie \| None row 4 : kornog \| kornog \| 2000 \| child noryce \| the only known version by a french band row 5 : the furrowed field \| damien barber \| 2000 \| bill norrie \| None row 6 : songs \| spiers and boden \| 2005 \| child morris \| None row 7 : at ruskin mill \| martin carthy \| 2005 \| bill norrie \| the longest recorded version (9'06") ] Execute this SQL based on the above table: select album/single where album/single in ( 'the english and scottish popular ballads vol 3' , 'at ruskin mill' ) order by notes limit 1	the english and scottish popular ballads vol 3
[ header: singing position \| song title \| informal translation \| act \| percentage of votes \| final position row 1 : 1 \| das tut unheimlich weh \| it hurts so much \| jeanette biedermann \| 12.2% \| 4 row 2 : 2 \| lover boy \| None \| carol bee \| None \| 7 row 3 : 3 \| ein bißchen sonne, ein bi \| a little sun, a little rain \| patrick lindner \| None \| 6 row 4 : 4 \| ich habe meine tage \| i've got my period \| megasuß \| None \| 8 row 5 : 5 \| reise nach jerusalem - \| journey to jerusalem \| surpriz \| 16.2% \| 2 row 6 : 6 \| heaven \| None \| elvin \| None \| 9 row 7 : 7 \| hor den kindern einfach zu \| just listen to the children \| corinna may \| 32.6% \| 1 (dq) row 8 : 8 \| itsy bitsy spider \| None \| naima \| None \| 11 row 9 : 9 \| bye bye bar \| None \| michael von der heide \| None \| 5 row 10 : 10 \| lost in love \| None \| wind \| None \| 10 row 11 : 11 \| together we're strong \| None \| cathrin \| 15.9% \| 3 ] Execute this SQL based on the above table: select act order by singing position desc limit 1	cathrin
[ header: tie no \| home team \| score \| away team \| attendance row 1 : 1 \| blackpool \| 2-0 \| rochdale \| None row 2 : 2 \| chesterfield \| 1-1 \| southend united \| None row 3 : replay \| southend united \| 2 - 0 \| chesterfield \| None row 4 : 3 \| canvey island \| 1-0 \| northampton town \| None row 5 : 4 \| macclesfield town \| 4-1 \| swansea city \| None row 6 : 5 \| swindon town \| 3-2 \| hereford united \| None row 7 : 6 \| tranmere rovers \| 6-1 \| carlisle united \| None row 8 : 7 \| wycombe wanderers \| 3-0 \| notts county \| None row 9 : 8 \| brighton & hove albion \| 2-1 \| rushden & diamonds \| 5647 row 10 : 9 \| plymouth argyle \| 1-1 \| bristol rovers \| None row 11 : replay \| bristol rovers \| 3 - 2 \| plymouth argyle \| None row 12 : 10 \| hull city \| 2-3 \| oldham athletic \| 9422 row 13 : 11 \| altrincham \| 1-2 \| darlington \| None row 14 : 12 \| exeter city \| 0-0 \| dagenham & redbridge \| None row 15 : replay \| dagenham & redbridge \| 3 - 0 \| exeter city \| None row 16 : 13 \| scunthorpe united \| 3-2 \| brentford \| None row 17 : 14 \| mansfield town \| 4-0 \| huddersfield town \| 6836 row 18 : 15 \| cardiff city \| 3-0 \| port vale \| None row 19 : 16 \| halifax town \| 1-1 \| stoke city \| 3335 row 20 : replay \| stoke city \| 3 - 0 \| halifax town \| 4356 row 21 : 17 \| york city \| 2-0 \| reading \| None row 22 : 18 \| peterborough united \| 1-0 \| bournemouth \| None row 23 : 19 \| leyton orient \| 2-1 \| lincoln city \| None row 24 : 20 \| hinckley united \| 0-2 \| cheltenham town \| None ] Execute this SQL based on the above table: select score order by tie no desc limit 1	0-2
[ header: code \| district \| headquarters \| population (as of 2011) \| area (km2) \| density (/km2) row 1 : al \| almora \| almora \| 621972 \| 3083 \| 202 row 2 : ba \| bageshwar \| bageshwar \| 259840 \| 2302 \| 113 row 3 : cl \| chamoli \| chamoli gopeshwar \| 391114 \| 7613 \| 51 row 4 : cp \| champawat \| champawat \| 259315 \| 1781 \| 146 row 5 : dd \| dehradun \| dehradun \| 1695860 \| 3088 \| 550 row 6 : ha \| haridwar \| haridwar \| 1927029 \| 2360 \| 817 row 7 : na \| nainital \| nainital \| 955128 \| 3860 \| 247 row 8 : pg \| pauri garhwal \| pauri \| 686572 \| 5399 \| 127 row 9 : pi \| pithoragarh \| pithoragarh \| 485993 \| 7100 \| 68 row 10 : rp \| rudra prayag \| rudraprayag \| 236857 \| 1890 \| 125 row 11 : tg \| tehri garhwal \| new tehri \| 616409 \| 4080 \| 151 row 12 : us \| udham singh nagar \| rudrapur \| 1648367 \| 2908 \| 567 row 13 : ut \| uttarkashi \| uttarkashi \| 329686 \| 8016 \| 41 ] Execute this SQL based on the above table: select count ( * ) where density (/km2) < 202	8
[ header: country \| gdp (usd bln, 2012) \| gdp (usd bln, 2017) \| gdp (usd ppp bln, 2012) \| gdp (usd ppp bln, 2017) \| per capita (usd, 2012) \| per capita (usd, 2017) \| per capita (usd ppp, 2012) \| per capita (usd ppp, 2017) row 1 : albania \| 12.39 \| 14.75 \| 25.86 \| 31.55 \| 3,821.09 \| 4,435.73 \| 7,975.86 \| 9,489.11 row 2 : azerbaijan \| 71.04 \| 109.95 \| 98.24 \| 123.35 \| 7,726.65 \| 11,491.29 \| 10,684.95 \| 12,891.89 row 3 : bangladesh \| 118.69 \| 177.66 \| 305.51 \| 462.42 \| 791.09 \| 1,122.90 \| 2,036.23 \| 2,922.78 row 4 : brunei darussalam \| 16.85 \| 18.15 \| 21.94 \| 28.31 \| 38,801.27 \| 37,516.64 \| 50,526.35 \| 58,522.83 row 5 : cote d'ivoire \| 24.27 \| 37.03 \| 39.64 \| 61.66 \| 1,038.74 \| 1,366.89 \| 1,696.15 \| 2,276.02 row 6 : egypt \| 255.00 \| 339.33 \| 537.76 \| 756.42 \| 3,109.47 \| 3,729.36 \| 6,557.38 \| 8,313.47 row 7 : gabon \| 16.80 \| 18.00 \| 26.71 \| 32.68 \| 10,908.38 \| 10,881.51 \| 17,338.98 \| 19,762.74 row 8 : indonesia \| 894.85 \| 1,842.78 \| 1,211.96 \| 1,814.58 \| 3,660.42 \| 7,022.67 \| 4,957.55 \| 6,915.24 row 9 : iran \| 483.78 \| 671.01 \| 1,006.54 \| 1,173.48 \| 6,355.74 \| 8,269.55 \| 13,103.90 \| 14,462.05 row 10 : jordan \| 31.35 \| 46.33 \| 38.67 \| 51.61 \| 4,901.28 \| 6,464.77 \| 6,044.40 \| 7,201.71 row 11 : kuwait \| 174.63 \| 193.10 \| 165.94 \| 212.73 \| 46,142.29 \| 44,467.96 \| 43,846.72 \| 48,990.11 row 12 : lebanon \| 41.77 \| 56.25 \| 63.69 \| 82.99 \| 10,416.17 \| 13,149.68 \| 15,884.07 \| 19,401.42 row 13 : libya \| 85.11 \| 117.76 \| 87.91 \| 145.08 \| 12,878.85 \| 16,141.08 \| 13,303.20 \| 19,886.33 row 14 : morocco \| 97.17 \| 140.01 \| 170.95 \| 242.78 \| 2,987.92 \| 4,099.70 \| 5,256.55 \| 7,109.34 row 15 : mozambique \| 14.64 \| 23.76 \| 26.22 \| 41.71 \| 652.00 \| 958.25 \| 1,167.30 \| 1,682.38 row 16 : nigeria \| 272.55 \| 388.42 \| 450.54 \| 676.25 \| 1,654.31 \| 2,058.57 \| 2,734.63 \| 3,584.02 row 17 : pakistan \| 230.53 \| 274.82 \| 514.56 \| 662.44 \| 1,288.50 \| 1,391.71 \| 2,876.08 \| 3,354.68 row 18 : qatar \| 184.57 \| 237.85 \| 188.96 \| 274.46 \| 100,377.54 \| 106,320.28 \| 102,768.69 \| 122,684.13 ] Execute this SQL based on the above table: select country where id = 15	egypt
[ header: year \| order \| quantity \| ger nos. row 1 : 1893 \| n31 \| 1 \| 999 row 2 : 1893 \| h33 \| 10 \| 979-988 row 3 : 1894 \| l33 \| 10 \| 989-998 row 4 : 1894 \| e34 \| 10 \| 969-978 row 5 : 1896 \| n37 \| 10 \| 959-968 row 6 : 1897 \| h40 \| 10 \| 949-958 row 7 : 1897 \| o41 \| 10 \| 602-608, 946-948 row 8 : 1898 \| g42 \| 10 \| 542-551 row 9 : 1898 \| k43 \| 10 \| 562-571 ] Execute this SQL based on the above table: select order order by quantity desc limit 658	h33, l33, e34, n37, h40, o41, g42, k43, n31
[ header: year \| position row 1 : 1957 \| did not enter row 2 : 1959 \| did not enter row 3 : 1962 \| did not enter row 4 : 1963 \| did not enter row 5 : 1965 \| did not enter row 6 : 1968 \| did not qualify row 7 : 1970 \| did not qualify row 8 : 1972 \| round 1 row 9 : 1974 \| withdrew row 10 : 1976 \| did not qualify row 11 : 1978 \| did not qualify row 12 : 1980 \| did not qualify row 13 : 1982 \| did not qualify row 14 : 1984 \| round 1 row 15 : 1986 \| did not qualify row 16 : 1988 \| did not qualify row 17 : 1990 \| withdrew row 18 : 1992 \| did not qualify row 19 : 1994 \| withdrew during qualifying row 20 : 1996 \| did not qualify row 21 : 1998 \| round 1 row 22 : 2000 \| round 1 row 23 : 2002 \| round 1 row 24 : 2004 \| did not qualify row 25 : 2006 \| round 1 row 26 : 2008 \| did not qualify row 27 : 2010 \| withdrew due to rebel attack row 28 : 2012 \| did not qualify row 29 : 2013 \| quarter-final ] Execute this SQL based on the above table: select count ( position ) where position = 'round 1'	6
[ header: \| agglutination \| synthesis \| compounding \| derivation \| inflection \| prefixing \| suffixing row 1 : swahili \| 0.67 \| 2.56 \| 1 \| 0.03 \| 0.31 \| 0.45 \| 0.16 row 2 : spoken turkish \| 0.67 \| 1.75 \| 1.04 \| 0.06 \| 0.38 \| 0 \| 0.44 row 3 : written turkish \| 0.6 \| 2.33 \| 1 \| 0.11 \| 0.43 \| 0 \| 0.54 row 4 : yakut \| 0.51 \| 2.17 \| 1.02 \| 0.16 \| 0.38 \| 0 \| 0.53 row 5 : greek \| 0.4 \| 1.82 \| 1.02 \| 0.07 \| 0.37 \| 0.02 \| 0.42 row 6 : english \| 0.3 \| 1.67 \| 1 \| 0.09 \| 0.32 \| 0.02 \| 0.38 row 7 : eskimo \| 0.03 \| 3.7 \| 1 \| 0.34 \| 0.47 \| 0 \| 0.73 ] Execute this SQL based on the above table: select order by synthesis desc limit 1	eskimo
[ header: year \| starts \| wins \| top 5 \| top 10 \| poles \| avg. start \| avg. finish \| winnings \| position \| team(s) row 1 : 1986 \| 2 \| 0 \| 0 \| 0 \| 0 \| 21 \| 29 \| $535 \| 110th \| #31 grissom racing enterprises row 2 : 1987 \| 2 \| 0 \| 0 \| 0 \| 0 \| 17 \| 21.5 \| $975 \| 49th \| #39 grissom racing enterprises row 3 : 1988 \| 29 \| 0 \| 1 \| 4 \| 0 \| 23.6 \| 20.4 \| $45,391 \| 13th \| #39 grissom racing enterprises row 4 : 1989 \| 29 \| 0 \| 2 \| 5 \| 0 \| 23.1 \| 18.9 \| $71,822 \| 12th \| #9/#19 falcon racing row 5 : 1990 \| 31 \| 4 \| 11 \| 15 \| 1 \| 14.8 \| 13.2 \| $166,842 \| 3rd \| #31 grissom racing enterprises row 6 : 1991 \| 31 \| 1 \| 7 \| 13 \| 1 \| 20.5 \| 15.7 \| $152,206 \| 10th \| #31 grissom racing enterprises row 7 : 1992 \| 31 \| 1 \| 2 \| 7 \| 1 \| 19.7 \| 16.7 \| $170,716 \| 12th \| #31 grissom racing enterprises row 8 : 1994 \| 11 \| 0 \| 1 \| 1 \| 0 \| 27.5 \| 26.6 \| $39,475 \| 43rd \| #31 grissom racing enterprises row 9 : 1995 \| 15 \| 2 \| 4 \| 7 \| 0 \| 23.9 \| 15.6 \| $110,105 \| 26th \| #29 diamond ridge motorsports row 10 : 1996 \| 8 \| 1 \| 3 \| 4 \| 0 \| 25.9 \| 14.1 \| $90,942 \| 45th \| #29 diamond ridge motorsports row 11 : 1997 \| 1 \| 0 \| 0 \| 0 \| 0 \| 43 \| 39 \| $4,425 \| 114th \| #5 labonte motorsports row 12 : 1998 \| 2 \| 0 \| 0 \| 0 \| 1 \| 22 \| 23 \| $16,444 \| 77th \| #12 spencer motor ventures # row 13 : 1999 \| 12 \| 0 \| 0 \| 0 \| 0 \| 35.5 \| 30.6 \| $128,750 \| 52nd \| #74 bace motorsports #12 row 14 : 2000 \| 1 \| 0 \| 0 \| 0 \| 0 \| 43 \| 37 \| $7,925 \| 109th \| #8 petty enterprises row 15 : 2001 \| 1 \| 0 \| 0 \| 0 \| 0 \| 21 \| 26 \| $27,000 \| 151st \| #45 petty enterprises row 16 : 2002 \| 7 \| 0 \| 0 \| 0 \| 0 \| 30.6 \| 30.4 \| $86,830 \| 56th \| #34 frank cicci racing row 17 : 2003 \| 6 \| 0 \| 0 \| 0 \| 0 \| 37 \| 27.8 \| $83,825 \| 67th \| #07 dlp racing #61/ row 18 : 2004 \| 26 \| 0 \| 0 \| 0 \| 0 \| 37.3 \| 28.6 \| $482,604 \| 28th \| #36 dct motorsports # row 19 : 2005 \| 31 \| 0 \| 0 \| 0 \| 0 \| 40.3 \| 32.2 \| $602,395 \| 23rd \| #49 jay robinson racing row 20 : 2006 \| 2 \| 0 \| 0 \| 0 \| 0 \| 42 \| 30.5 \| $72,136 \| 98th \| #49 jay robinson racing row 21 : 2007 \| 1 \| 0 \| 0 \| 0 \| 0 \| 43 \| 25 \| $45,800 \| 133rd \| #34 frank cicci racing ] Execute this SQL based on the above table: select count ( team(s) ) where team(s) = 11	0
[ header: rd \| pick \| player \| position \| school row 1 : 1 \| 1 \| chuck bednarik (lottery bonus \| center \| pennsylvania row 2 : 1 \| 9 \| frank tripucka \| quarterback \| notre dame row 3 : 2 \| 19 \| frank burns \| back \| rutgers row 4 : 3 \| 29 \| frank ziegler \| back \| georgia tech row 5 : 4 \| 41 \| don panciera \| back \| san francisco row 6 : 5 \| 51 \| terry brennan \| back \| notre dame row 7 : 6 \| 58 \| warren huey \| end \| michigan state row 8 : 7 \| 71 \| frank gillespie \| guard \| clemson row 9 : 8 \| 81 \| bob dean \| back \| cornell row 10 : 9 \| 91 \| jonathan jenkins \| tackle \| dartmouth row 11 : 10 \| 101 \| roy lester \| end \| west virginia row 12 : 11 \| 111 \| bobby wilson \| back \| mississippi row 13 : 12 \| 121 \| dale armstrong \| end \| dartmouth row 14 : 13 \| 131 \| lyle button \| tackle \| illinois row 15 : 14 \| 141 \| bobby lund \| back \| tennessee row 16 : 15 \| 151 \| carl copp \| tackle \| vanderbilt row 17 : 16 \| 161 \| frank reno \| end \| west virginia row 18 : 17 \| 171 \| leo skladany \| end \| pittsburgh row 19 : 18 \| 181 \| russ strait \| back \| muhlenberg row 20 : 19 \| 191 \| paul odom \| guard \| rollins row 21 : 20 \| 201 \| lloyd brinkman \| back \| missouri row 22 : 21 \| 211 \| lou futrell \| back \| usc row 23 : 22 \| 221 \| harvey kingry \| back \| colorado mines row 24 : 23 \| 231 \| hank kalver \| tackle \| oklahoma city row 25 : 24 \| 241 \| fred leon \| tackle \| nevada-reno row 26 : 25 \| 251 \| john "bull" schweder \| guard \| pennsylvania ] Execute this SQL based on the above table: select position where position != 'quarterback' and rd = ( select rd where position = 'quarterback' )	center
[ header: number \| driver \| entrant \| chassis \| engine \| tyre row 1 : 1 \| jimmy bryan \| dean van lines \| kuzma \| offenhauser \| f row 2 : 2 \| john lawrence \| ecurie ecosse \| jaguar d-type \| jaguar \| d row 3 : 4 \| jack fairman \| ecurie ecosse \| jaguar d-type \| jaguar \| d row 4 : 6 \| ninian sanderson \| ecurie ecosse \| jaguar d-type \| jaguar \| d row 5 : 7 \| bob veith \| bob estes \| phillips \| offenhauser \| f row 6 : 8 \| jean behra \| maserati \| maserati 250f \| maserati \| f row 7 : 8 \| jean behra \| maserati \| maserati 450s1 \| maserati \| f row 8 : 12 \| pat o'connor \| sumar \| kurtis kraft 500g \| offenhauser \| f row 9 : 16 \| mario bornigia \| scuderia cottione \| ferrari \| ferrari \| None row 10 : 27 \| tony bettenhausen \| novi auto air conditioning \| kurtis kraft 500f \| novi (s/c) \| f row 11 : 35 \| eddie sachs \| jim robbins \| kurtis kraft 500g \| offenhauser \| f row 12 : 49 \| ray crawford \| meguiar mirror glaze \| kurtis kraft 500g \| offenhauser \| f row 13 : 52 \| troy ruttman \| john zink \| watson \| offenhauser \| f row 14 : 52 \| jim rathmann2 \| john zink \| watson \| offenhauser \| f row 15 : 54 \| paul russo \| novi auto air conditioning \| kurtis kraft 500f \| novi (s/c) \| f row 16 : 73 \| andy linden \| mcnamara veedo \| kurtis kraft 500g \| offenhauser \| f row 17 : 98 \| johnnie parsons \| agajanian \| kuzma \| offenhauser \| f ] Execute this SQL based on the above table: select driver order by number asc limit 1	jimmy bryan
[ 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 count ( country ) where time = 999	0
[ header: date \| time \| opponent# \| site \| tv \| result \| attendance row 1 : september 4 \| 7:00 pm \| pacific \| jones stadium • lubbock, \| None \| w 55-7 \| 29164 row 2 : september 11 \| 1:00 pm \| at #9 nebraska \| memorial stadium • lincoln, \| None \| l 27-50 \| 75771 row 3 : september 18 \| 12:00 pm \| at georgia \| sanford stadium • athens, \| None \| l 11-17 \| 74511 row 4 : september 25 \| 12:00 pm \| at baylor \| floyd casey stadium • waco, \| raycom \| l 26-28 \| 32690 row 5 : october 2 \| 11:00 am \| #14 texas a&m \| jones stadium • lubbock, \| abc \| l 6-31 \| 50748 row 6 : october 9 \| 1:00 pm \| north carolina state \| jones stadium • lubbock, \| None \| l 34-36 \| 26943 row 7 : october 16 \| 7:00 pm \| rice \| jones stadium • lubbock, \| None \| w 45-16 \| 27812 row 8 : october 30 \| 12:00 pm \| at texas \| texas memorial stadium • austin \| raycom \| w 31-22 \| 63132 row 9 : november 6 \| 12:00 pm \| tcu \| jones stadium • lubbock, \| raycom \| w 49-21 \| 31922 row 10 : november 13 \| 2:00 pm \| at smu \| ownby stadium • university park, tx \| None \| w 41-24 \| 15714 row 11 : november 20 \| 7:00 pm \| vs. houston \| alamodome • san a \| None \| w 58-7 \| 28652 row 12 : december 31 \| 1:30 pm \| vs. #19 oklahom \| sun bowl stadium • el paso, \| cbs \| l 10-41 \| 43848 ] Execute this SQL based on the above table: select attendance where tv is null	29164, 75771, 74511, 26943, 27812, 15714, 28652
[ header: election \| number of popular votes \| % of popular votes \| total elected seats \| +/- row 1 : 1988 \| 139982 \| 22.16 \| 61 / 264 \| None row 2 : 1991 \| 170757 \| 32.11 \| 83 / 272 \| 22 row 3 : 1994 \| 242557 \| 35.34 \| 121 / 346 \| 38 row 4 : 1999 \| 271251 \| 33.45 \| 122 / 390 \| 1 row 5 : 2003 \| 459640 \| 44.67 \| 194 / 400 \| 72 row 6 : 2007 \| 445781 \| 39.15 \| 127 / 405 \| 30 row 7 : 2011 \| 464512 \| 39.34 \| 103 / 412 \| 18 ] Execute this SQL based on the above table: select total elected seats order by +/- desc limit 1007	194 / 400, 121 / 346, 127 / 405, 83 / 272, 103 / 412, 122 / 390, 61 / 264
[ header: year \| original title \| english title \| role \| notes row 1 : 1955 \| ordet \| the word \| morten borgen \| directed by carl th. dre row 2 : 1942 \| med forenede kræf \| None \| None \| propaganda film row 3 : 1938 \| bolettes brudefærd \| None \| carpenter kristiansen \| based on malberg's play row 4 : 1938 \| kongen bød \| None \| jeppe \| None row 5 : 1937 \| kloge mand, den \| the clever man \| shoemaker \| None row 6 : 1936 \| sol over danmark \| sun over denmark \| pastor nicolaj jacobs \| None row 7 : 1933 \| kobberbryllup \| None \| handelsgartner johans \| None row 8 : 1932 \| paustians uhr \| paustian's clock \| mayor \| None row 9 : 1931 \| præsten i vejlby \| the vicar of vejlby \| præsten søren quist \| first danish sound film row 10 : 1930 \| hr. tell og s \| william tell and son \| uncle jokum \| fy & bi film row 11 : 1929 \| højt paa en \| None \| None \| fy & bi film row 12 : 1925 \| grønkøbings glade \| pat and patachon are millionaires \| bank director \| fy & bi film row 13 : 1924 \| der mann um mitternacht \| the man at midnight \| knut hammerdal \| None row 14 : 1921 \| det største i \| love that lives \| thomas ward \| directed by holger-madsen row 15 : 1920 \| gudernes yndling \| the penalty of fame \| pommel \| None row 16 : 1919 \| krigsmillionæren \| the parvenu \| jensen \| directed by emanuel greg row 17 : 1916 \| udenfor loven \| outside the law \| brown \| None row 18 : 1914 \| tre indvendige jom \| three maidens \| None \| None row 19 : 1914 \| lejla \| lejla \| horse trainer \| None row 20 : 1913 \| lille klaus og \| None \| lille klaus \| None row 21 : 1910 \| dorian grays portræt \| the picture of dorian gray \| None \| None ] Execute this SQL based on the above table: select count ( * ) > 0 where original title not null	1
[ header: year \| tournaments played \| cuts made \| wins \| 2nd \| 3rd \| top 10s \| best finish \| earnings (€) \| money list rank \| scoring average \| scoring rank \| rolex ranking row 1 : 2004 \| 1 \| 0 \| 0 \| 0 \| 0 \| 0 \| cut \| None \| None \| 77.5 \| None \| None row 2 : 2006 \| 1 \| 1 \| 0 \| 0 \| 0 \| 0 \| t55 \| None \| None \| 73.67 \| None \| None row 3 : 2007 \| 1 \| 1 \| 0 \| 0 \| 0 \| 0 \| t11 \| None \| None \| 71 \| None \| 647 row 4 : 2008 \| 1 \| 1 \| 0 \| 0 \| 0 \| 1 \| t10 \| None \| None \| 70.33 \| None \| 703 row 5 : 2009 \| 17 \| 14 \| 0 \| 0 \| 0 \| 1 \| t5 \| 48893 \| 35 \| 72.45 \| 37 \| 274 row 6 : 2010 \| 20 \| 14 \| 0 \| 3 \| 1 \| 7 \| t2 \| 121959 \| 12 \| 72.33 \| 35 \| 118 row 7 : 2011 \| 15 \| 13 \| 1 \| 2 \| 1 \| 6 \| 1 \| 161172 \| 8 \| 70.92 \| 13 \| 63 row 8 : 2012 \| 6 \| 3 \| 2 \| 0 \| 0 \| 2 \| 1 \| 104884 \| 13 \| 72 \| None \| 65 ] Execute this SQL based on the above table: select best finish where money list rank not null	t5, t2, 1, 1
[ header: model name \| date \| type \| thrust (kg) / power (eshp) \| fitted to row 1 : rtd-1/vdr-2 \| 1938 \| two-stage centrifugal compressor turbojet \| 500 kg estimated \| test-bed only row 2 : s-18/vdr-3 \| 1945 \| axial flow compressor turbojet \| 1,250 kg \| gu-vrd project row 3 : tr-1 \| 1946 \| 8-stage axial flow compressor turbojet \| 1,300 kg \| alekseyev i-21, ily row 4 : tr-1a \| 1947 \| 8-stage axial flow compressor turbojet \| 1,500 kg \| None row 5 : tr-2 \| 1947 \| None \| None \| projected growth version of tr-1 row 6 : tr-3 and al-5 \| 1949 \| 7-stage axial-flow turbojet \| 4,600 kg (at qualification in 1950) \| il-30, il-46, la row 7 : tr-7 \| 1950s \| supersonic compressor prototype of the al-7 \| None \| prototype for al-7 row 8 : al-7 \| 1954 \| 9-stage supersonic compressor turbojet \| 6,500 kg \| il-54, su-7b, row 9 : al-21 \| 1961 \| 14-stage axial compressor with variable stator \| 11,000 kg \| yak-38, tu-28 row 10 : al-31 \| 1976 \| twin-spool turbofan 0.6 bypass ratio \| 13,300 kg \| su-27, su-30, su-34 ] Execute this SQL based on the above table: select count ( * ) where type is null	1
[ header: name \| position \| length [km] \| drainage basin area [km2] \| confluence [by lahn-km] \| mouth elevation [m above msl] row 1 : feudinge (ruppersbach) \| left \| 6.3 \| 21.2 \| 9.8 \| 388 row 2 : ilse \| right \| 8.4 \| 11.8 \| 10.5 \| 382 row 3 : banfe \| right \| 11.5 \| 38.9 \| 18.5 \| 326 row 4 : laasphe \| left \| 8.3 \| 19.6 \| 19.4 \| 324 row 5 : perf \| right \| 20 \| 113.1 \| 24.7 \| 285 row 6 : dautphe \| left \| 8.8 \| 41.8 \| 37.5 \| 245 row 7 : wetschaft \| left \| 29 \| 196.2 \| 56.3 \| 192 row 8 : ohm \| left \| 59.7 \| 983.8 \| 58.7 \| 188 row 9 : allna \| right \| 19.1 \| 92 \| 77.1 \| 172 row 10 : zwester ohm \| left \| 20 \| 69.5 \| 84 \| 165 row 11 : salzbode \| right \| 27.6 \| 137.8 \| 87.4 \| 164 row 12 : lumda \| left \| 30 \| 131.5 \| 93.6 \| 160 row 13 : wieseck \| left \| 24.3 \| 119.6 \| 102.2 \| 155 row 14 : bieber \| right \| 13.6 \| 34.7 \| 105.1 \| 151 row 15 : kleebach \| left \| 26.9 \| 164.6 \| 106.2 \| 150 row 16 : wetzbach \| left \| 11.7 \| 32.9 \| 119.6 \| 147 row 17 : dill \| right \| 55 \| 717.7 \| 120.4 \| 147 row 18 : solmsbach \| left \| 24.6 \| 112.5 \| 128.1 \| 141 row 19 : iserbach (mottbach) \| left \| 19.2 \| 31.2 \| 131.4 \| 139 row 20 : ulmbach \| right \| 22.9 \| 60.9 \| 138.2 \| 135 row 21 : kallenbach \| right \| 14.6 \| 84.7 \| 141.3 \| 132 row 22 : weil \| left \| 46.6 \| 247.9 \| 149.4 \| 130 row 23 : kerkerbach \| right \| 20.7 \| 70.2 \| 176 \| 112 row 24 : emsbach \| left \| 39.1 \| 321.8 \| 181 \| 110 row 25 : elbbach \| right \| 40.7 \| 323.7 \| None \| 109 row 26 : aar \| left \| 49.7 \| 312.6 \| None \| 103 row 27 : dorsbach \| left \| 32 \| 114 \| None \| 94 row 28 : gelbach (aubach) \| right \| 39.7 \| 221.2 \| None \| 93 row 29 : muhlbach \| left \| 32.1 \| 171.9 \| None \| 85 row 30 : emsbach \| right \| 11.5 \| 29.4 \| None \| 75 ] Execute this SQL based on the above table: select count ( length [km] ) where position = 'left'	17
[ header: goal \| date \| location \| opponent \| lineup \| min \| assist/pass \| score \| result \| competition row 1 : 1 \| may 9, 2004 \| usaalbuquerque nm \| mexico \| on 70' (off lilly) \| 19 \| tarpley \| 3-0 \| 3-0 \| friendly row 2 : 2 \| jun 26, 2005 \| usavirginia beach \| canada \| 90.start \| 12 \| unassisted \| 1-0 \| 2-0 \| friendly row 3 : 3 \| jan 30, 2007 \| chnguangzhou \| china pr \| 90.start \| 46 \| unassisted \| 1-0 \| 2-0 \| four nations tournament row 4 : 4 \| may 12, 2007 \| usafrisco tx \| canada \| off 72' (on wagner) \| 28 \| tarpley \| 3-1 \| 6-2 \| friendly row 5 : 5 \| sep 18, 2007 \| chnshanghai \| nigeria \| 90.start \| 1 \| wambach \| 1-0 \| 1-0 \| world cup - group b row 6 : 6 \| sep 30, 2007 \| chnshanghai \| norway \| 90.start \| 58 \| unassisted \| 3-0 \| 4-1 \| world cup final - third place playoff row 7 : 7 \| aug 18, 2008 \| chnbeijing \| japan \| 90.start \| 44 \| rodriguez \| 2-1 \| 4-2 \| olympics tournament row 8 : 8 \| sep 20, 2008 \| usabridgeview il \| ireland \| 90.start \| 19 \| tarpley \| 1-0 \| 2-0 \| friendly ] Execute this SQL based on the above table: select opponent where opponent = 'nigeria'	nigeria
[ header: week \| start date \| type \| tournament \| surface \| town \| country \| continent \| prize money row 1 : 35 \| october 24 \| premier wta tour championships \| sony ericsson championships \| hard \| istanbul \| turkey \| europe \| $4,550,000 row 2 : 9 \| march 21 \| premier mandatory \| sony ericsson open \| hard \| key biscayne \| united states \| north america \| $4,500,000 row 3 : 32 \| october 3 \| premier mandatory \| china open \| hard \| beijing \| china \| asia \| $4,500,000 row 4 : 14 \| may 9 \| premier 5 \| internazionali bnl \| clay \| rome \| italy \| europe \| $2,000,000 row 5 : 26 \| august 15 \| premier 5 \| western & southern financial group women's open \| hard \| cincinnati \| united states \| north america \| $2,000,000 row 6 : 10 \| april 4 \| premier 700 \| family circle cup \| clay \| charleston \| united states \| north america \| $700,000 row 7 : 24 \| august 1 \| premier 700 \| mercury insurance open \| hard \| san diego \| united states \| north america \| $700,000 row 8 : 15 \| may 16 \| premier 600 \| brussels open \| clay \| brussels \| belgium \| europe \| $618,000 row 9 : 34 \| october 17 \| premier 600 \| kremlin cup \| hard (i) \| moscow \| russia \| europe \| $1,000,000 row 10 : 36 \| october 31 \| international wta tour championships \| commonwealth bank tournament of champions \| hard (i) \| sofia \| bulgaria \| europe \| $750,000 row 11 : 1 \| january 1 \| international \| shenzhen open \| hard \| shenzhen \| china \| asia \| $500,000 row 12 : 1 \| january 3 \| international \| brisbane international \| hard \| brisbane \| australia \| oceania \| $220,000 row 13 : 5 \| february 14 \| international \| xix copa bbva col \| clay \| bogota \| colombia \| south america \| $220,000 row 14 : 11 \| april 18 \| international \| grand prix de sar la princesse la \| clay \| fes \| morocco \| africa \| $220,000 row 15 : 12 \| april 25 \| international \| estoril open \| clay \| estoril \| portugal \| europe \| $220,000 row 16 : 17 \| june 6 \| international \| e-boks sony eric \| hard \| copenhagen \| denmark \| europe \| $220,000 row 17 : 21 \| july 11 \| international \| internazionali femmin \| clay \| palermo \| italy \| europe \| $220,000 row 18 : 30 \| september 19 \| international \| hansol korea open \| hard \| seoul \| south korea \| asia \| $220,000 row 19 : 33 \| october 10 \| international \| hp japan women's open tennis \| hard \| osaka \| japan \| asia \| $220,000 row 20 : 34 \| october 17 \| international \| bgl bnp pari \| hard (i) \| luxembourg \| luxembourg \| europe \| $220,000 ] Execute this SQL based on the above table: select prize money where country = 'morocco'	220000.0
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 2001 \| asian junior championships \| bandar seri begawan, brun \| 1st \| 110 m hurdles \| 14.05 row 2 : 2002 \| world junior championships \| kingston, jamaica \| 2nd \| 110 m hurdles \| 13.58 row 3 : 2002 \| asian games \| busan, south korea \| 4th \| 110 m hurdles \| 13.92 row 4 : 2003 \| world indoor championships \| birmingham, united kingdom \| 18th (h) \| 60 m hurdles \| 7.81 row 5 : 2003 \| world championships \| paris, france \| 6th \| 110 m hurdles \| 13.55 row 6 : 2003 \| asian championships \| manila, philippines \| 1st \| 110 m hurdles \| 13.5 row 7 : 2004 \| world indoor championships \| budapest, hungary \| 17th (h) \| 60 m hurdles \| 7.75 row 8 : 2004 \| olympic games \| athens, greece \| 33rd (h) \| 110 m hurdles \| 13.68 row 9 : 2005 \| world championships \| helsinki, finland \| 9th (sf) \| 110 m hurdles \| 13.44 row 10 : 2005 \| asian championships \| incheon, south korea \| 2nd \| 110 m hurdles \| 13.44 row 11 : 2006 \| world indoor championships \| moscow, russia \| 8th (sf) \| 60 m hurdles \| 7.63 row 12 : 2006 \| asian games \| doha, qatar \| 2nd \| 110 m hurdles \| 13.28 row 13 : 2007 \| world championships \| osaka, japan \| 5th \| 110 m hurdles \| 13.19 row 14 : 2008 \| world indoor championships \| valencia, spain \| 9th (sf) \| 60 m hurdles \| 7.65 row 15 : 2008 \| olympic games \| beijing, china \| 8th (sf) \| 110 m hurdles \| 13.42 row 16 : 2009 \| asian championships \| guangzhou, china \| 2nd \| 110 m hurdles \| 13.67 row 17 : 2009 \| world championships \| berlin, germany \| 8th (sf) \| 110 m hurdles \| 13.42 row 18 : 2010 \| world indoor championships \| doha, qatar \| 16th (sf) \| 60 m hurdles \| 7.82 row 19 : 2010 \| asian games \| guangzhou, china \| 2nd \| 110 m hurdles \| 13.38 row 20 : 2011 \| asian championships \| kobe, japan \| 2nd \| 110 m hurdles \| 13.56 row 21 : 2011 \| world championships \| daegu, south korea \| 9th (sf) \| 110 m hurdles \| 13.57 row 22 : 2012 \| world indoor championships \| istanbul, turkey \| 24th (h) \| 60m hurdles \| 8.15 row 23 : 2012 \| olympic games \| london, united kingdom \| 37th (h) \| 110 m hurdles \| 13.78 ] Execute this SQL based on the above table: select ( select min ( year ) where competition = 'asian games' ) - ( select min ( year ) )	1
[ header: # \| weekend end date \| film \| weekend gross (millions) \| notes row 1 : 1 \| january 6, 2008 \| national treasure: book of secrets \| $1.65 \| None row 2 : 3 \| january 20, 2008 \| cloverfield \| $2.26 \| None row 3 : 4 \| january 27, 2008 \| rambo \| $1.71 \| meet the spartans was #1 in north row 4 : 6 \| february 10, 2008 \| fool's gold \| $1.55 \| None row 5 : 7 \| february 17, 2008 \| jumper \| $2.06 \| None row 6 : 8 \| february 24, 2008 \| vantage point \| $1.55 \| None row 7 : 11 \| march 16, 2008 \| horton hears a who! \| $2.89 \| None row 8 : 12 \| march 23, 2008 \| horton hears a who! \| $1.99 \| None row 9 : 13 \| march 30, 2008 \| 21 \| $2.17 \| None row 10 : 14 \| april 6, 2008 \| 21 \| $1.63 \| None row 11 : 15 \| april 13, 2008 \| prom night \| $1.25 \| None row 12 : 18 \| may 4, 2008 \| iron man \| $7.49 \| None row 13 : 19 \| may 11, 2008 \| iron man \| $3.93 \| None row 14 : 20 \| may 18, 2008 \| the chronicles of narnia: prince \| $4.11 \| None row 15 : 21 \| may 25, 2008 \| indiana jones and the kingdom of \| $7.00 \| None row 16 : 22 \| june 1, 2008 \| sex and the city \| $4.88 \| None row 17 : 26 \| june 29, 2008 \| wanted \| $3.10 \| wall-e was #1 in north america row 18 : 27 \| july 6, 2008 \| hancock \| $3.67 \| None row 19 : 28 \| july 13, 2008 \| hellboy ii: the golden army \| $2.50 \| None row 20 : 29 \| july 20, 2008 \| the dark knight \| $10.53 \| the dark knight had the highest weekend debut of 2008 row 21 : 31 \| august 3, 2008 \| the dark knight \| $3.65 \| None row 22 : 32 \| august 10, 2008 \| the dark knight \| $2.39 \| None row 23 : 33 \| august 17, 2008 \| tropic thunder \| $2.11 \| None row 24 : 34 \| august 24, 2008 \| tropic thunder \| $1.45 \| None row 25 : 35 \| august 31, 2008 \| tropic thunder \| $1.48 \| None row 26 : 37 \| september 14, 2008 \| burn after reading \| $1.75 \| None row 27 : 38 \| september 21, 2008 \| burn after reading \| $1.15 \| lakeview terrace was #1 in north america row 28 : 39 \| september 28, 2008 \| eagle eye \| $2.20 \| None row 29 : 40 \| october 5, 2008 \| eagle eye \| $1.16 \| beverly hills chihuah row 30 : 41 \| october 12, 2008 \| body of lies \| $1.18 \| beverly hills chihuah row 31 : 42 \| october 19, 2008 \| max payne \| $1.50 \| None row 32 : 44 \| november 2, 2008 \| zack & miri make a \| $1.53 \| high school musical 3: senior year was #1 in row 33 : 46 \| november 16, 2008 \| quantum of solace \| $7.64 \| None row 34 : 47 \| november 23, 2008 \| twilight \| $5.30 \| None row 35 : 49 \| december 7, 2008 \| twilight \| $1.52 \| four christmases was #1 in north america row 36 : 50 \| december 14, 2008 \| the day the earth stood still \| $1.81 \| None row 37 : 51 \| december 21, 2008 \| yes man \| $1.22 \| None row 38 : 52 \| december 28, 2008 \| the curious case of benjamin button \| $2.22 \| marley & me was #1 in north ] Execute this SQL based on the above table: select count ( weekend end date ) where notes < 1134 and notes > 313	0
[ header: no \| episode \| title \| original airdate \| viewers \| nightly rank row 1 : 1 \| 2-01 \| "the return" (part 1) \| 16 may 2011 \| 0.927 \| 12 row 2 : 2 \| 2-02 \| "baby bumps" (part 2) \| 16 may 2011 \| 0.76 \| 16 row 3 : 3 \| 2-03 \| "dates, decisions & divorces" \| 23 may 2011 \| 0.905 \| 12 row 4 : 4 \| 2-04 \| "together we are one" \| 30 may 2011 \| 0.953 \| 11 row 5 : 5 \| 2-05 \| "the way you are" \| 6 june 2011 \| 0.954 \| 11 row 6 : 6 \| 2-06 \| "behind closed doors" \| 13 june 2011 \| 0.982 \| 13 row 7 : 7 \| 2-07 \| "cheating on your test" \| 20 june 2011 \| 0.995 \| 11 row 8 : 8 \| 2-08 \| "two different places" \| 22 june 2011 \| 0.904 \| 10 row 9 : 9 \| 2-09 \| "just keep talking" \| 27 june 2011 \| 0.938 \| 10 row 10 : 10 \| 2-10 \| "episode ten" \| 29 june 2011 \| 1.07 \| 6 row 11 : 11 \| 2-11 \| "episode eleven" \| 6 july 2011 \| 0.825 \| 14 row 12 : 12 \| 2-12 \| "episode twelve" \| 13 july 2011 \| 0.96 \| 9 row 13 : 13 \| 2-13 \| "episode thirteen" \| 20 july 2011 \| 0.997 \| 6 ] Execute this SQL based on the above table: select episode where original airdate = '13 july 2011' order by original airdate limit 1357	2-12
[ header: state \| swimsuit \| interview \| evening gown \| average \| finalists row 1 : iowa \| 9.267 \| 9.651 \| 9.620 \| 9.513 \| 9.800 row 2 : oklahoma \| 9.226 \| 9.309 \| 9.487 \| 9.341 \| 9.586 row 3 : kansas \| 9.221 \| 9.600 \| 9.600 \| 9.474 \| 9.486 row 4 : alabama \| 9.010 \| 9.326 \| 9.449 \| 9.262 \| 9.471 row 5 : north carolina \| 9.079 \| 9.207 \| 9.500 \| 9.262 \| 9.414 row 6 : california \| 9.340 \| 9.514 \| 9.486 \| 9.447 \| 9.400 row 7 : rhode island \| 9.087 \| 9.279 \| 9.341 \| 9.235 \| None row 8 : maryland \| 9.021 \| 9.206 \| 9.271 \| 9.166 \| None row 9 : indiana \| 8.966 \| 9.103 \| 9.370 \| 9.146 \| None row 10 : virginia \| 8.984 \| 9.112 \| 9.279 \| 9.125 \| None row 11 : mississippi \| 8.917 \| 9.200 \| 9.247 \| 9.121 \| None row 12 : illinois \| 8.897 \| 8.969 \| 9.286 \| 9.050 \| None ] Execute this SQL based on the above table: select ( select interview where id = 10 ) - ( select interview where id = 12 )	0.14300000000000068
[ header: year \| title \| peak chart positions us country \| peak chart positions us \| album row 1 : 1950 \| "make up your mind" \| None \| None \| non-album singles row 2 : 1950 \| "how far is heaven" \| None \| None \| non-album singles row 3 : 1952 \| "glory land march" \| None \| None \| non-album singles row 4 : 1952 \| "it wasn't god who made hon \| 1 \| 27 \| country hit parade row 5 : 1952 \| "a wedding ring ago" \| None \| None \| the kitty wells story row 6 : 1953 \| "the things i might have been" \| None \| 22 \| country hit parade row 7 : 1953 \| "paying for that back street affair" \| 6 \| None \| country hit parade row 8 : 1953 \| "honky tonk walt \| None \| None \| country heart row 9 : 1953 \| "i don't claim to be an angel \| None \| None \| country hit parade row 10 : 1953 \| "hey joe" \| 8 \| None \| kitty wells' golden favorites row 11 : 1953 \| "cheatin's a sin" \| 9 \| None \| country hit parade row 12 : 1954 \| "release me" \| 8 \| None \| country hit parade row 13 : 1954 \| "you're not so easy to forget" \| None \| None \| after dark row 14 : 1954 \| "thou shalt not steal" \| 14 \| None \| kitty wells row 15 : 1955 \| "making believe" \| 2 \| None \| country hit parade row 16 : 1955 \| "there's poison in your heart" \| 9 \| None \| country hit parade row 17 : 1955 \| "the lonely side of town" \| 7 \| None \| after dark row 18 : 1956 \| "how far is heaven" (with carol \| 11 \| None \| singing on sunday row 19 : 1956 \| "searching (for someone like you)" \| 3 \| None \| kitty wells' golden favorites row 20 : 1956 \| "repenting" \| 6 \| None \| kitty wells' golden favorites row 21 : 1957 \| "three ways (to love you)" \| 7 \| None \| kitty wells' golden favorites row 22 : 1957 \| "(i'll always be your) \| 10 \| None \| kitty wells' golden favorites row 23 : 1958 \| "i can't stop loving you" \| 3 \| None \| kitty wells' golden favorites row 24 : 1958 \| "jealousy" \| 7 \| 78 \| kitty wells' golden favorites row 25 : 1958 \| "touch and go heart" \| 15 \| None \| the lonely side of town row 26 : 1959 \| "mommy for a day" \| 5 \| None \| kitty wells' golden favorites row 27 : 1959 \| "your wild life's gonna get you \| 12 \| None \| after dark row 28 : 1959 \| "amigo's guitar" \| 5 \| None \| seasons of my heart ] Execute this SQL based on the above table: select album where peak chart positions us > ( select peak chart positions us where album = 'country hit parade' ) order by peak chart positions us asc limit 1	kitty wells' golden favorites
[ 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 opponent order by length ( opponent ) desc limit 1	@ phillies
[ header: city \| country \| iata \| icao \| airport \| commenced \| ended row 1 : bangkok \| thailand \| bkk \| vtbs \| suvarnabhumi airport \| 2004 \| present row 2 : chennai \| india \| maa \| vomm \| chennai international airport \| 2007 \| present row 3 : chiang mai \| thailand \| cnx \| vtcc \| chiang mai international airport \| 2005 \| 2008 row 4 : da nang \| vietnam \| dad \| vvdn \| da nang international airport \| 2006 \| 2006 row 5 : dhaka \| bangladesh \| dac \| vghs \| shahjalal international airport \| 2012 \| present row 6 : guangzhou \| china \| can \| zggg \| guangzhou baiyun international airport \| 2006 \| present row 7 : haikou \| china \| hak \| zjhk \| haikou meilan international airport \| 2006 \| present row 8 : hat yai \| thailand \| hdy \| vtss \| hat yai international airport \| 2004 \| present row 9 : ho chi minh city \| vietnam \| sgn \| vvts \| tan son nhat international airport \| 2005 \| present row 10 : hong kong \| hong kong \| hkg \| vhhh \| hong kong international airport \| 2010 \| present row 11 : hyderabad \| india \| hyd \| vohs \| rajiv gandhi international \| 2012 \| present row 12 : kochi \| india \| cok \| voci \| cochin international airport \| 2012 \| present row 13 : krabi \| thailand \| kbv \| vtsg \| krabi airport \| 2005 \| present row 14 : kuala lumpur \| malaysia \| kul \| wmkk \| kuala lumpur international airport \| 2008 \| present row 15 : kuching \| malaysia \| kch \| wbgg \| kuching international airport \| 2008 \| 2013 row 16 : langkawi \| malaysia \| lgk \| wmkl \| langkawi international airport \| 2009 \| 2010 row 17 : lijang \| china \| ljg \| zplj \| lijiang sanyi airport \| 2013 \| present row 18 : lombok \| indonesia \| lop \| wadl \| lombok international airport \| 2013 \| present row 19 : manila \| philippines \| mnl \| rpll \| ninoy aquino international airport \| 2010 \| present row 20 : penang \| malaysia \| pen \| wmkp \| penang international airport \| 2009 \| present row 21 : perth \| australia \| per \| ypph \| perth airport \| 2004 \| present row 22 : phnom penh \| cambodia \| pnh \| vdpp \| phnom penh international airport \| 2012 \| present row 23 : singapore \| singapore \| sin \| wsss \| singapore changi airport[hub \| 2004 \| present row 24 : surabaya \| indonesia \| sub \| warr \| juanda international airport \| 2013 \| present row 25 : taipei \| taiwan \| tpe \| rctp \| taiwan taoy \| 2011 \| present row 26 : thiruvananthapuram \| india \| trv \| votv \| trivandrum international airport \| 2010 \| present row 27 : tiruchirapalli \| india \| trz \| votr \| tiruchirapalli airport \| 2010 \| present row 28 : udon thani \| thailand \| uth \| vtud \| udon thani international airport \| 2007 \| 2007 ] Execute this SQL based on the above table: select icao where id = ( select id where icao = 'zggg' ) + 1	zjhk
[ header: rank \| name \| nationality \| time (hand) \| notes row 1 : 1 \| tommy green \| great britain \| 4:50:10 \| or row 2 : 2 \| janis dalins \| latvia \| 4:57:20 \| None row 3 : 3 \| ugo frigerio \| italy \| 4:59:06 \| None row 4 : 4 \| karl hahnel \| germany \| 5:06:06 \| None row 5 : 5 \| ettore rivolta \| italy \| 5:07:39 \| None row 6 : 6 \| paul sievert \| germany \| 5:16:41 \| None row 7 : 7 \| henri quintric \| france \| 5:27:25 \| None row 8 : 8 \| ernie crosbie \| united states \| 5:28:02 \| None row 9 : 9 \| bill chisholm \| united states \| 5:51:00 \| None row 10 : 10 \| alfred maasik \| estonia \| 6:19:00 \| None row 11 : None \| henry cieman \| canada \| None \| dnf row 12 : None \| john moralis \| greece \| None \| dnf row 13 : None \| francesco pretti \| italy \| None \| dnf row 14 : None \| arthur tell schwab \| switzerland \| None \| dnf row 15 : None \| harry hinkel \| united states \| None \| dnf ] Execute this SQL based on the above table: select rank where id = ( select id where time (hand) = 5 ) + 1	5
[ header: category \| speed (km/h) \| speed (mph) \| vehicle \| pilot \| date row 1 : rocket-powered aircraft \| 7258 \| 4510 \| north american x-15 \| william j. knight \| 3 oct 1967 row 2 : manned air-breathing craft \| 3530 \| 2194 \| lockheed sr-71 blackbird \| eldon w. joersz \| 28 jul 1976 row 3 : propeller-driven aircraft \| 870 \| 541 \| tupolev tu-114 \| ivan soukhomline \| 1960 row 4 : piston-engined propeller-driven aircraft \| 850.1 \| 528.33 \| grumman f8f bearcat rare \| lyle shelton \| 21 aug 1989 row 5 : helicopter \| 401 \| 249.1 \| westland lynx 800 g \| john egginton \| 11 aug 1986 row 6 : glider (sailplane) \| 306.8 \| 190.6 \| schempp-hirth nim \| klaus ohlmann and \| 22 dec 2006 row 7 : human-powered aircraft \| 32 \| 19.8 \| mit monarch b \| frank scarabino \| 1 may 1984 ] Execute this SQL based on the above table: select pilot where speed (km/h) < ( select speed (km/h) where pilot = 'william j. knight' )	eldon w. joersz, ivan soukhomline, lyle shelton, john egginton, klaus ohlmann and matias garcia mazzaro, frank scarabino
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| united states (usa) \| 25 \| 16 \| 7 \| 48 row 2 : 2 \| canada (can) \| 5 \| 4 \| 7 \| 16 row 3 : 3 \| jamaica (jam) \| 4 \| 3 \| 4 \| 11 row 4 : 4 \| cuba (cub) \| 3 \| 8 \| 4 \| 15 row 5 : 5 \| mexico (mex) \| 0 \| 3 \| 3 \| 6 row 6 : 6 \| brazil (bra) \| 0 \| 2 \| 1 \| 3 row 7 : 7 \| puerto rico (pur) \| 0 \| 1 \| 1 \| 2 row 8 : 8 \| colombia (col) \| 0 \| 0 \| 3 \| 3 row 9 : 9 \| peru (per) \| 0 \| 0 \| 2 \| 2 row 10 : 9 \| trinidad and tobago (tri) \| 0 \| 0 \| 2 \| 2 row 11 : 11 \| chile (chi) \| 0 \| 0 \| 1 \| 1 row 12 : 11 \| uruguay (uru) \| 0 \| 0 \| 1 \| 1 row 13 : 11 \| venezuela (ven) \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select count ( nation ) where nation = 'puerto rico (pur)'	1
[ 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 season group by season order by sum ( combined ) limit 1	1967
[ header: name \| railway \| series \| maker \| dates \| drive \| wheel arrangement \| weight \| power \| notes row 1 : re 465 \| bls, switzerland \| re 465 001-465 00 \| slm, abb \| 1994-97 \| electric \| bo-bo \| 84 t \| 9,520 horsepower (7,099 kw \| most powerful locomotive with only four axles, similar row 2 : prr gg1 \| pennsylvania rail road ( \| 4800-4938, 900-929 \| altoona works, general electric \| 1934-43 \| electric \| 2-c+c-2 (4-6-6-4) \| 208.9 to 216.4 \| 4,629 horsepower (3,452 k \| most scrapped; the prototype and 15 production locomotive row 3 : allegheny \| chesapeake and ohi \| 1600-1659 (c&o), 900 \| lima locomotive works \| 1941-48 \| steam \| 2-6-6-6 \| 544 t \| 7,500 horsepower (5,593 kw \| two on static display row 4 : 060-ea softronic phoen \| romanian railways (cfr) \| 001, 2001-2004 \| softronic craiova \| 2009-present \| electric \| co'co' \| 120 t \| 8,851 horsepower (6,600 kw \| most powerful locomotive with highest continuous tractive effort row 5 : jr freight class ef200 \| jr freight \| None \| hitachi ltd \| 1990- \| electric \| bo'bo'bo' \| 100.8 t \| 8,046 horsepower (6,000 kw) \| most powerful single-frame narrow-gauge locomotive row 6 : china railways hxn5 \| china railways \| hxn50001-hxn \| ge, csr qishu \| 2008- \| diesel-electric \| co'co' \| 150 t \| 6,250 horsepower (4,661 kw \| most powerful diesel-electric locomotive in active production row 7 : china railways hxd1b \| china railways \| hxd1b0001-h \| csr zhuzhou electric \| 2009- \| electric \| co'co' \| 150 t \| 12,874 horsepower (9,600 kw \| most powerful single-frame locomotive in series production row 8 : china railways hxd2b \| china railways \| hxd2b0001-h \| datong electric locomotive, alstom \| 2009- \| electric \| co'co' \| 150 t \| 12,874 horsepower (9,600 kw \| most powerful single-frame locomotive in series production row 9 : china railways hxd1c \| china railways \| hxd1c0001-h \| csr zhuzhou electric \| 2009- \| electric \| co'co' \| 150 t \| 9,655 horsepower (7,200 kw \| None ] Execute this SQL based on the above table: select count ( notes ) where weight > 2	8
[ header: # \| name \| took office \| left office \| party row 1 : 1 \| nejat konuk (2nd time \| 15 november 1983 \| 19 july 1985 \| national unity party row 2 : 2 \| dervis eroglu (1st time \| 19 july 1985 \| 1 january 1994 \| national unity party row 3 : 3 \| hakkı atun \| 1 january 1994 \| 16 august 1996 \| democratic party row 4 : 2 \| dervis eroglu (2nd time) \| 16 august 1996 \| 13 january 2004 \| national unity party row 5 : 4 \| mehmet ali talat \| 13 january 2004 \| 26 april 2005 \| republican turkish party row 6 : 5 \| ferdi sabit soyer \| 26 april 2005 \| 5 may 2009 \| republican turkish party row 7 : 2 \| dervis eroglu (3rd time \| 5 may 2009 \| 23 april 2010 \| national unity party row 8 : None \| huseyin ozgurgun \| 23 april 2010 \| 17 may 2010 \| national unity party row 9 : 6 \| irsen kucuk \| 17 may 2010 \| 13 june 2013 \| national unity party row 10 : 7 \| sibel siber \| 13 june 2013 \| 2 september 2013 \| republican turkish party row 11 : 8 \| ozkan yorgancıo \| 2 september 2013 \| incumbent \| republican turkish party ] Execute this SQL based on the above table: select party where left office = 'incumbent' order by party desc limit 1	republican turkish party
[ header: season \| record \| finish \| manager \| notes row 1 : 1956-57 \| 13-14 (1st half) 10-15 (2nd \| 2nd 4th \| lazaro salazar \| None row 2 : 1957-58 \| 22-19 \| 2nd \| daniel canonico \| lost 1st round series row 3 : 1958-59 \| 22-19 \| 2nd \| kerby farrell \| won 1st and 2nd playoff rounds championship row 4 : 1959-60 \| 14-14 \| None \| alberto hidalgo \| season suspended by players' strike row 5 : 1960-61 \| 29-23 \| 2nd \| alberto hidalgo ramon \| lost semifinal round row 6 : 1961-62 \| 29-22 \| 2nd \| daniel canonico \| lost championship series row 7 : 1962-63 \| 8-25 \| 4th \| chico carrasquel \| folded before the end of the season row 8 : 1963-64 \| 21-29 \| 4th \| george genovese \| None ] Execute this SQL based on the above table: select notes where notes not null order by notes limit 567	folded before the end of the season, lost 1st round series, lost championship series, lost semifinal round, season suspended by players' strike, won 1st and 2nd playoff rounds championship title
[ header: year \| winners \| score \| score \| runners-up \| venue \| winning captain row 1 : 2000 \| meath \| 5-14 (29) \| 2-10 (16) \| carlow \| cusack park \| None row 2 : 2001 \| kerry \| 4-14 (22) \| 3-10 (19) \| westmeath \| croke park \| michael 'boxer' row 3 : 2002 \| laois \| 1-20 (23) \| 2-14 (20) \| antrim \| semple stadium \| john lyons row 4 : 2003 \| antrim \| 3-18 (27) \| 3-12 (21) \| kerry \| croke park \| None row 5 : 2004 \| down \| 5-15 (30) \| 3-7 (16) \| westmeath \| gaelic grounds \| simon wilson row 6 : 2005 \| offaly \| 6-21 (39) \| 4-7 (19) \| carlow \| semple stadium \| barry teehan row 7 : 2006 \| dublin \| 0-16 (16) \| 1-6 (9) \| kerry \| semple stadium \| philip brennan row 8 : 2007 \| laois \| 2-19 (25) \| 0-8 (8) \| wicklow \| semple stadium \| joe fitzpatrick row 9 : 2008 \| westmeath \| 2-12 (18) \| 0-12 (12) \| carlow \| gaelic grounds \| brendan murtagh row 10 : 2009 \| offaly \| 1-13 (16) \| 0-13 (13) \| wexford \| semple stadium \| ger oakley row 11 : 2010 \| wexford \| 1-16 (19) \| 2-9 (15) \| clare \| semple stadium \| diarmuid lyng row 12 : 2011 \| limerick \| 4-12 (24) \| 2-13 (19) \| clare \| cusack park \| gavin o'mahony row 13 : 2012 \| clare \| 0-21 (21) \| 1-16 (19) \| limerick \| gaelic grounds \| patrick donnellan row 14 : 2013 \| dublin \| 1-16 (19) \| 1-15 (18) \| limerick \| semple stadium \| tbc ] Execute this SQL based on the above table: select count ( venue ) where winning captain = 'tbc'	1
[ header: city \| country \| airport \| begin \| end row 1 : aberdeen \| united kingdom \| aberdeen airport \| 1999 \| None row 2 : alesund \| norway \| alesund airport, vigra \| 1971 \| None row 3 : alta \| norway \| alta airport \| 1974 \| None row 4 : batsfjord \| norway \| batsfjord airport \| 1999 \| None row 5 : bodø \| norway \| bodø airport \| 1968 \| None row 6 : brønnøysund \| norway \| brønnøysund airport, \| 1968 \| None row 7 : fagernes \| norway \| fagernes airport, leirin \| 1999 \| 2000 row 8 : florø \| norway \| florø airport \| 1971 \| None row 9 : førde \| norway \| førde airport, bringel \| 1986 \| None row 10 : førde \| norway \| førde airport, øy \| 1971 \| 1986 row 11 : glasgow \| united kingdom \| glasgow international airport \| 1997 \| 1999 row 12 : gothenburg \| sweden \| gothenburg-landvetter airport \| 1996 \| None row 13 : hammerfest \| norway \| hammerfest airport \| 1974 \| None row 14 : haugesund \| norway \| haugesund airport, karmø \| 2010 \| None row 15 : harstad/narvik \| norway \| harstad/narvik airport, \| 1975 \| None row 16 : kirkenes \| norway \| kirkenes airport, hø \| 1974 \| None row 17 : kristiansand \| norway \| kristiansand airport, kje \| 1991 \| None row 18 : lakselv \| norway \| lakselv airport, banak \| 1974 \| None row 19 : leknes \| norway \| leknes airport \| 1972 \| None row 20 : lerwick \| united kingdom \| sumburgh airport \| 1995 \| 2005 row 21 : london \| united kingdom \| london stansted airport \| 1989 \| 1992 row 22 : molde \| norway \| molde airport, arø \| 1972 \| None row 23 : murmansk \| russia \| murmansk airport \| 1994 \| 2000 row 24 : narvik \| norway \| narvik airport, framnes \| 1975 \| None row 25 : namsos \| norway \| namsos airport, hø \| 1968 \| None row 26 : newcastle \| united kingdom \| newcastle airport \| 2006 \| None row 27 : ørland \| norway \| ørland airport \| 1971 \| 1987 row 28 : ørsta/volda \| norway \| ørsta-volda airport, \| 1971 \| None row 29 : oslo \| norway \| oslo airport, forne \| 1974 \| 1998 row 30 : oslo \| norway \| oslo airport, gardermo \| 1998 \| None row 31 : rønne \| denmark \| bornholm airport \| 2007 \| None row 32 : sandefjord \| norway \| sandefjord airport, to \| 1989 \| None row 33 : sandnessjøen \| norway \| sandnessjøen airport, \| 1968 \| None row 34 : sogndal \| norway \| sogndal airport, haukas \| 1971 \| None row 35 : stavanger \| norway \| stavanger airport, sola \| 1989 \| None row 36 : svolvær \| norway \| svolvær airport, helle \| 1972 \| None row 37 : tromsø \| norway \| tromsø airport \| 1974 \| None row 38 : umea \| sweden \| umea airport \| 1995 \| 1995 ] Execute this SQL based on the above table: select count ( city ) where country - city < 1	38

inputs stringlengths 291 3.71k	targets stringlengths 1 2.65k
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| india \| 102 \| 58 \| 37 \| 197 row 2 : 2 \| nepal \| 32 \| 10 \| 24 \| 65 row 3 : 3 \| sri lanka \| 16 \| 42 \| 62 \| 120 row 4 : 4 \| pakistan \| 10 \| 36 \| 30 \| 76 row 5 : 5 \| bangladesh \| 2 \| 10 \| 35 \| 47 row 6 : 6 \| bhutan \| 1 \| 6 \| 7 \| 14 row 7 : 7 \| maldives \| 0 \| 0 \| 4 \| 4 ] Execute this SQL based on the above table: select count ( * ) where rank < ( select rank where nation = 'nepal' )	1
[ header: year \| group \| award \| result \| notes row 1 : 1994 \| venice film festival \| best actor \| won \| before the rain (1994 film) row 2 : 1996 \| new zealand film and tv \| best foreign performer \| won \| broken english (1996 film) row 3 : 2006 \| monaco international film festival \| best actor \| won \| short order row 4 : 2007 \| rome film fest \| best actor \| won \| fugitive pieces (film) row 5 : 2008 \| satellite awards \| best actor in a supporting role \| nominated \| fugitive pieces (film) row 6 : 2008 \| vancouver film critics circle \| best supporting actor in a canadian film \| nominated \| fugitive pieces (film) row 7 : 2009 \| genie awards \| best performance by an actor in a supporting role \| nominated \| fugitive pieces (film) row 8 : 2012 \| tetouan international mediterra \| best actor \| won \| io sono li ] Execute this SQL based on the above table: select group order by result desc limit 1	venice film festival
[ header: week \| date \| song title \| performer \| album title \| performer row 1 : 1 \| 3 january 2014 \| "timber" \| pitbull feat. ke$ha \| true \| avicii row 2 : 2 \| 10 january 2014 \| "timber" \| pitbull feat. ke$ha \| true \| avicii row 3 : 3 \| 17 january 2014 \| "i see fire" \| ed sheeran \| high hopes \| bruce springsteen row 4 : 4 \| 24 january 2014 \| "i see fire" \| ed sheeran \| high hopes \| bruce springsteen row 5 : 5 \| 31 january 2014 \| "i see fire" \| ed sheeran \| true \| avicii row 6 : 6 \| 7 february 2014 \| "i see fire" \| ed sheeran \| sjunger sinatra \| christer sjogren row 7 : 7 \| 14 february 2014 \| "i see fire" \| ed sheeran \| sjunger sinatra \| christer sjogren row 8 : 8 \| 21 february 2014 \| "i see fire" \| ed sheeran \| true \| avicii row 9 : 9 \| 28 february 2014 \| "i see fire" \| ed sheeran \| true \| avicii row 10 : 10 \| 7 march 2014 \| "busy doin' nothin'" \| ace wilder \| true \| avicii row 11 : 11 \| 14 march 2014 \| "busy doin' nothin'" \| ace wilder \| true \| avicii row 12 : 12 \| 21 march 2014 \| "busy doin' nothin'" \| ace wilder \| all turns red \| takida row 13 : 13 \| 28 march 2014 \| "busy doin' nothin'" \| ace wilder \| together we stand alone \| yohio ] Execute this SQL based on the above table: select count ( album title ) where date = '14 march 2014'	1
[ header: \| \| \| \| \| \| \| \| row 1 : ccc \| ieee conference on computational complexity \| 1993 \| 1996 \| 1999 \| None \| 2007 \| 2011 \| 2015 row 2 : ec \| acm conference on electronic commerce \| None \| None \| None \| 2003 \| 2007 \| 2011 \| 2015 row 3 : isca \| acm/ieee international \| 1993 \| 1996 \| 1999 \| 2003 \| 2007 \| 2011 \| 2015 row 4 : lctes \| acm sigplan/sigbed \| None \| None \| 1999 \| 2003 \| 2007 \| None \| None row 5 : metrics \| acm sigmetrics international conference \| None \| 1996 \| 1999 \| 2003 \| 2007 \| None \| 2015 row 6 : pldi \| acm sigplan conference on programming \| None \| 1996 \| 1999 \| 2003 \| 2007 \| 2011 \| 2015 row 7 : podc \| acm symposium on principles of distributed computing \| None \| 1996 \| 1999 \| None \| None \| 2011 \| None row 8 : ppopp \| acm sigplan symposium on principles \| 1993 \| None \| 1999 \| 2003 \| None \| None \| None row 9 : spaa \| acm symposium on parallelism in \| None \| None \| None \| 2003 \| 2007 \| 2011 \| 2015 row 10 : socg \| acm symposium on computational geometry \| 1993 \| 1996 \| None \| 2003 \| None \| None \| None row 11 : stoc \| acm symposium on theory of computing \| 1993 \| 1996 \| 1999 \| 2003 \| 2007 \| 2011 \| 2015 ] Execute this SQL based on the above table: select order by limit 1	acm sigplan/sigbed conference on languages, compilers, and tools for embedded systems
[ header: name(s) \| yard no. \| type (as built) \| owner \| imo number \| laid down \| launched \| delivered/ commissioned \| fate/ decommissioned \| notes row 1 : sally \| 100 \| yacht \| lyman \| \| None \| None \| None \| None \| None row 2 : caprice \| 101 \| yacht \| robinson \| \| None \| None \| None \| None \| None row 3 : eleanor \| 103 \| yacht \| clapp \| \| None \| None \| None \| None \| None row 4 : uss lawrence (dd-8) \| 104 \| bainbridge-class destroyer \| u.s. navy \| \| 10 april 1899 \| 7 november 1900 \| 7 april 1903 \| 20 june 1919 \| sold to joseph g. hit row 5 : uss macdonough (dd-9) \| 105 \| bainbridge-class destroyer \| u.s. navy \| \| 10 april 1899 \| 24 december 1900 \| 5 september 1903 \| 3 september 1919 \| sold to joseph g. hit row 6 : jule \| 106 \| yacht \| j. arthur \| \| None \| None \| 12 june 1899 \| None \| None row 7 : united states lightship lv-72 \| 107 \| lightvessel \| u.s lighthouse board \| \| None \| None \| 13 february 1901 \| None \| None ] Execute this SQL based on the above table: select yard no. order by yard no. desc limit 1	107.0
[ header: year \| single \| peak chart positions us mod \| peak chart positions uk \| album row 1 : 1997 \| "automatic" \| None \| None \| losing streak row 2 : 1997 \| "dopeman" \| None \| None \| losing streak row 3 : 1997 \| "dopeman" (remix) \| None \| None \| non-album single row 4 : 1997 \| "howie j. rey \| None \| None \| non-album single row 5 : 1998 \| "history of a boring town" \| 39 \| None \| hello rockview row 6 : 2000 \| "all my best friends are metalheads" \| None \| 51 \| hello rockview row 7 : 2000 \| "all my best friends are metalheads" \| None \| None \| non-album single row 8 : 2001 \| "gainesville rock city" \| None \| 57 \| borders & boundaries row 9 : 2003 \| "she's gonna break soon" \| None \| 39 \| anthem row 10 : 2003 \| "the science of selling yourself short" \| 36 \| 78 \| anthem row 11 : 2003 \| "surrender" \| None \| None \| anthem row 12 : 2006 \| "overrated (everything is)" \| None \| 61 \| in with the out crowd row 13 : 2006 \| "the rest of my life" \| None \| 77 \| in with the out crowd row 14 : 2008 \| "does the lion city still \| None \| None \| gnv fla row 15 : 2008 \| "abandon ship" \| None \| None \| gnv fla ] Execute this SQL based on the above table: select peak chart positions us mod order by peak chart positions us mod desc limit 1	39
[ header: year \| division \| league \| reg. season \| playoffs \| open cup row 1 : 1998 \| 3 \| usisl d-3 pro league \| 3rd, northeast \| division semifinals \| 2nd round row 2 : 1999 \| 3 \| usl d-3 pro league \| 1st, northern \| champion \| did not qualify row 3 : 2000 \| 3 \| usl d-3 pro league \| 5th, northern \| conference finals \| did not qualify row 4 : 2001 \| 3 \| usl d-3 pro league \| 7th, northern \| did not qualify \| did not qualify row 5 : 2002 \| 3 \| usl d-3 pro league \| 1st, northern \| quarterfinals \| did not qualify row 6 : 2003 \| 3 \| usl pro select league \| 3rd, northern \| did not qualify \| did not qualify row 7 : 2004 \| 3 \| usl pro soccer league \| 3rd, northern \| did not qualify \| 2nd round row 8 : 2005 \| 3 \| usl second division \| 1st \| final \| 3rd round row 9 : 2006 \| 3 \| usl second division \| 6th \| did not qualify \| did not qualify row 10 : 2007 \| 3 \| usl second division \| 6th \| did not qualify \| 2nd round row 11 : 2008 \| 3 \| usl second division \| 6th \| quarterfinals \| 2nd round row 12 : 2009 \| 3 \| usl second division \| 7th \| did not qualify \| 2nd round row 13 : 2010 \| 4 \| usl pdl \| 6th, northeast \| did not qualify \| did not qualify row 14 : 2011 \| 4 \| usl pdl \| 3rd, northeast \| did not qualify \| 1st round row 15 : 2012 \| 4 \| usl pdl \| 3rd, northeast \| did not qualify \| did not qualify row 16 : 2013 \| 4 \| usl pdl \| 4th, northeast \| did not qualify \| did not qualify ] Execute this SQL based on the above table: select reg. season where id = ( select id where reg. season = '3rd, northern' ) + 1	3rd, northern
[ header: week \| date \| opponent \| score \| result \| attendance \| record row 1 : 1 \| thursday, aug 11 \| vs. winnipeg blue \| 35-21 \| loss \| 31837 \| 0-1 row 2 : 2 \| monday, aug 15 \| at edmonton eskimos \| 33-14 \| loss \| 17500 \| 0-2 row 3 : 3 \| saturday, aug 20 \| vs. saskatche \| 27-12 \| win \| 29532 \| 1-2 row 4 : 4 \| monday, aug 22 \| at calgary stampeders \| 26-19 \| win \| None \| 2-2 row 5 : 5 \| monday, aug 29 \| vs. edmonton \| 26-0 \| loss \| 28420 \| 2-3 row 6 : 6 \| thursday, sept 1 \| at winnipeg blue bombers \| 19-14 \| loss \| 18297 \| 2-4 row 7 : 7 \| monday, sept 5 \| at saskatchewan roughrid \| 31-21 \| win \| 14105 \| 3-4 row 8 : 8 \| monday, sept 12 \| vs. calgary stampeders \| 21-21 \| tie \| 27759 \| 3-4-1 row 9 : 9 \| saturday, sept 17 \| vs. winnipeg blue \| 26-14 \| loss \| 30292 \| 3-5-1 row 10 : 10 \| monday, sept 19 \| at edmonton eskimos \| 18-10 \| loss \| None \| 3-6-1 row 11 : 11 \| saturday, sept 24 \| at calgary stampeders \| 28-14 \| loss \| 13000 \| 3-7-1 row 12 : 12 \| thursday, oct 6 \| vs. edmonton \| 21-13 \| win \| 21707 \| 4-7-1 row 13 : 13 \| thursday, oct 13 \| at winnipeg blue bombers \| 49-21 \| loss \| 16773 \| 4-8-1 row 14 : 14 \| saturday, oct 15 \| at saskatchewan roughrid \| 14-14 \| tie \| 7255 \| 4-8-2 row 15 : 15 \| saturday, oct 22 \| vs. calgary stampeders \| 22-10 \| loss \| 29599 \| 4-9-2 row 16 : 16 \| saturday, oct 29 \| vs. saskatche \| 38-0 \| win \| 21114 \| 5-9-2 ] Execute this SQL based on the above table: select count ( * ) where score = '26-14'	1
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| china (chn) \| 71 \| 39 \| 35 \| 145 row 2 : 2 \| south korea (kor) \| 45 \| 30 \| 31 \| 106 row 3 : 3 \| thailand (tha) \| 17 \| 22 \| 18 \| 57 row 4 : 4 \| singapore (sin) \| 14 \| 18 \| 21 \| 53 row 5 : 5 \| japan (jpn) \| 12 \| 11 \| 10 \| 33 row 6 : 6 \| hong kong (hkg) \| 7 \| 13 \| 18 \| 38 row 7 : 7 \| india (ind) \| 8 \| 7 \| 10 \| 25 row 8 : 8 \| chinese taipei \| 7 \| 13 \| 20 \| 40 row 9 : 9 \| kazakhstan (kaz) \| 5 \| 10 \| 12 \| 27 row 10 : 10 \| north korea (prk) \| 5 \| 6 \| 9 \| 20 row 11 : 11 \| vietnam (vie) \| 5 \| 6 \| 2 \| 13 row 12 : 12 \| malaysia (mas) \| 4 \| 6 \| 8 \| 18 row 13 : 13 \| kuwait (kuw) \| 4 \| 3 \| 5 \| 12 row 14 : 14 \| philippines (phi) \| 2 \| 4 \| 1 \| 7 row 15 : 15 \| iran (iri) \| 1 \| 9 \| 4 \| 14 row 16 : 16 \| qatar (qat) \| 1 \| 4 \| 0 \| 5 row 17 : 17 \| uzbekistan (uzb \| 1 \| 2 \| 8 \| 11 row 18 : 18 \| indonesia (ina) \| 1 \| 2 \| 3 \| 6 row 19 : 19 \| saudi arabia (ksa) \| 1 \| 1 \| 2 \| 4 row 20 : 20 \| yemen (yem) \| 1 \| 0 \| 1 \| 2 row 21 : 21 \| syria (syr \| 1 \| 0 \| 0 \| 1 row 22 : 22 \| sri lanka (sr \| 0 \| 2 \| 7 \| 9 row 23 : 23 \| iraq (irq) \| 0 \| 1 \| 1 \| 2 row 24 : 23 \| macau (mac) \| 0 \| 1 \| 1 \| 2 row 25 : 23 \| tajikistan (tjk) \| 0 \| 1 \| 1 \| 2 row 26 : 26 \| jordan (jor) \| 0 \| 0 \| 3 \| 3 row 27 : 26 \| mongolia (mgl) \| 0 \| 0 \| 3 \| 3 row 28 : 28 \| bahrain (brn) \| 0 \| 0 \| 2 \| 2 row 29 : 29 \| kyrgyzstan (kgz \| 0 \| 0 \| 1 \| 1 row 30 : 29 \| myanmar (mya) \| 0 \| 0 \| 1 \| 1 row 31 : 29 \| pakistan (pak) \| 0 \| 0 \| 1 \| 1 row 32 : total \| total \| 213 \| 211 \| 239 \| 663 ] Execute this SQL based on the above table: select rank order by gold desc limit 1	total
[ header: election year \| # of constituency votes \| # of party list votes \| % of party list votes \| # of overall seats won \| +/- row 1 : 1949 \| None \| 6934975 \| 29.2 \| 131 / 402 \| None row 2 : 1953 \| 8131257 \| 7944943 \| 28.8 \| 162 / 509 \| 22 row 3 : 1957 \| 11975400 \| 11875339 \| 39.7 \| 181 / 519 \| 19 row 4 : 1961 \| 11672057 \| 11427355 \| 36.2 \| 203 / 521 \| 22 row 5 : 1965 \| 12998474 \| 12813186 \| 39.3 \| 217 / 518 \| 14 row 6 : 1969 \| 14402374 \| 14065716 \| 42.7 \| 237 / 518 \| 20 row 7 : 1972 \| 18228239 \| 17175169 \| 45.8 \| 242 / 518 \| 5 row 8 : 1976 \| 16471321 \| 16099019 \| 42.6 \| 224 / 518 \| 18 row 9 : 1980 \| 16808861 \| 16260677 \| 42.9 \| 218 / 497 \| 6 row 10 : 1983 \| 15686033 \| 14865807 \| 38.2 \| 193 / 498 \| 25 row 11 : 1987 \| 14787953 \| 14025763 \| 37 \| 186 / 497 \| 7 row 12 : 1990 \| 16279980 \| 15545366 \| 33.5 \| 239 / 662 \| 53 row 13 : 1994 \| 17966813 \| 17140354 \| 36.4 \| 252 / 672 \| 13 row 14 : 1998 \| 21535893 \| 20181269 \| 40.9 \| 298 / 669 \| 43 row 15 : 2002 \| 20059967 \| 18484560 \| 38.5 \| 251 / 603 \| 47 row 16 : 2005 \| 18129100 \| 16194665 \| 34.2 \| 222 / 614 \| 29 row 17 : 2009 \| 12077437 \| 9988843 \| 23 \| 146 / 620 \| 76 row 18 : 2013 \| 12835933 \| 11247283 \| 25.7 \| 193 / 631 \| 42 ] Execute this SQL based on the above table: select election year where # of overall seats won = '218 / 497'	1980
[ header: season \| level \| division \| section \| position \| movements row 1 : 1993 \| tier 3 \| division 2 \| vastra gotaland \| 1st \| None row 2 : 1994 \| tier 2 \| division 1 \| sodra \| 7th \| None row 3 : 1995 \| tier 2 \| division 1 \| sodra \| 5th \| None row 4 : 1996 \| tier 2 \| division 1 \| sodra \| 2nd \| promoted row 5 : 1997 \| tier 1 \| allsvenskan \| None \| 14th \| panos ljungskile s row 6 : 1998 \| tier 2 \| division 1 \| sodra \| 6th \| panos ljungskile s row 7 : 1999 \| tier 2 \| division 1 \| sodra \| 4th \| panos ljungskile s row 8 : 2000 \| tier 2 \| superettan \| None \| 15th \| panos ljungskile s row 9 : 2001 \| tier 3 \| division 2 \| vastra gotaland \| 1st \| panos ljungskile s row 10 : 2002 \| tier 3 \| division 2 \| vastra gotaland \| 6th \| panos ljungskile s row 11 : 2003 \| tier 3 \| division 2 \| vastra gotaland \| 2nd \| None row 12 : 2004 \| tier 3 \| division 2 \| vastra gotaland \| 1st \| promotion playoffs - promoted row 13 : 2005 \| tier 2 \| superettan \| None \| 4th \| None row 14 : 2006 \| tier 2 \| superettan \| None \| 6th \| None row 15 : 2007 \| tier 2 \| superettan \| None \| 2nd \| promoted row 16 : 2008 \| tier 1 \| allsvenskan \| None \| 14th \| relegation playoffs - re row 17 : 2009 \| tier 2 \| superettan \| None \| 9th \| None row 18 : 2010 \| tier 2 \| superettan \| None \| 6th \| None row 19 : 2011 \| tier 2 \| superettan \| None \| 8th \| None row 20 : 2012 \| tier 2 \| superettan \| None \| 5th \| None row 21 : 2013 \| tier 2 \| superettan \| None \| 9th \| None ] Execute this SQL based on the above table: select movements where season = 1998 and section = ( select section where movements = 'panos ljungskile sk' )	panos ljungskile sk
[ header: date \| winner \| runner-up \| result \| site \| attendance row 1 : february 11, 1978 \| #2 maryland \| #1 nc state \| 89-82 \| charlottesville, virginia \| 1500 row 2 : february 10, 1979 \| #1 maryland \| #2 nc state \| 75-73 \| raleigh, north carolina \| 3500 row 3 : february 10, 1980 \| #1 nc state \| #2 maryland \| 85-75 \| college park, maryland \| None row 4 : february 14, 1981 \| #3 maryland \| #4 nc state \| 64-63 \| clemson, south carolina \| 300 row 5 : march 6, 1983 \| #3 maryland \| #1 nc state \| 84-81 \| fayetteville, north carolin \| 2134 row 6 : march 4, 1984 \| #5 north carolina \| #3 nc state \| 99-76 \| fayetteville, north carolin \| 3733 row 7 : march 3, 1986 \| #5 maryland \| #2 north carolina \| 92-74 \| fayetteville, north carolin \| 2632 row 8 : march 2, 1987 \| #2 nc state \| #1 virginia \| 57-56 \| fayetteville, north carolin \| 2987 row 9 : march 7, 1988 \| #2 maryland \| #1 virginia \| 76-70 \| fayetteville, north carolin \| 1223 row 10 : march 4, 1991 \| #3 nc state \| #4 clemson \| 84-61 \| fayetteville, north carolin \| 4102 row 11 : march 9, 1992 \| #1 virginia \| #7 georgia tech \| 70-69 \| rock hill, south carolina \| 4154 row 12 : march 8, 1993 \| #1 virginia \| #2 maryland \| 106-103 3ot \| rock hill, south carolina \| 3716 row 13 : march 7, 1994 \| #2 north carolina \| #1 virginia \| 77-60 \| rock hill, south carolina \| 4386 row 14 : march 5, 1995 \| #2 north carolina \| #4 duke \| 95-70 \| rock hill, south carolina \| 5724 row 15 : march 2, 1997 \| #1 north carolina \| #6 clemson \| 62-58 \| charlotte, north carolina \| 5543 row 16 : march 1, 1998 \| #4 north carolina \| #2 clemson \| 81-50 \| charlotte, north carolina \| 5534 row 17 : march 5, 2001 \| #1 duke \| #3 nc state \| 57-45 \| greensboro, north carolina \| 8933 row 18 : march 4, 2002 \| #1 duke \| #2 north carolina \| 87-80 \| greensboro, north carolina \| 9204 row 19 : march 10, 2003 \| #1 duke \| #2 north carolina \| 77-59 \| greensboro, north carolina \| 11127 row 20 : march 7, 2005 \| #1 north carolina \| #2 duke \| 88-67 \| greensboro, north carolina \| 11578 row 21 : march 5, 2006 \| #1 north carolina \| #3 maryland \| 91-80 \| greensboro, north carolina \| 10746 row 22 : march 4, 2007 \| #2 north carolina \| #4 nc state \| 60-54 \| greensboro, north carolina \| 11538 row 23 : march 9, 2008 \| #1 north carolina \| #3 duke \| 86-73 \| greensboro, north carolina \| 11132 row 24 : march 7, 2010 \| #1 duke \| #6 nc state \| 70-60 \| greensboro, north carolina \| 9432 row 25 : march 6, 2011 \| #1 duke \| #6 north carolina \| 81-67 \| greensboro, north carolina \| 9890 row 26 : march 4, 2012 \| #3 maryland \| #4 georgia tech \| 68-65 \| greensboro, north carolina \| 9122 row 27 : march 10, 2013 \| #1 duke \| #3 north carolina \| 92-73 \| greensboro, north carolina \| 8166 ] Execute this SQL based on the above table: select min ( attendance ) - 3500 where attendance > 3500	216.0
[ header: # \| artist \| featuring \| title \| version \| length row 1 : 1 \| benassi bros \| dhany \| rocket in the sky \| original extended mix \| 5:43 row 2 : 2 \| benassi bros \| sandy \| illusion \| sfaction mix \| 5:08 row 3 : 3 \| benassi bros \| dhany \| every single day \| original version \| 4:45 row 4 : 4 \| benassi bros \| sandy \| castaway \| original version \| 6:06 row 5 : 5 \| benassi bros \| dhany \| make me feel \| original version \| 5:30 row 6 : 6 \| benassi bros \| sandy \| i feel so fine \| sfaction mix \| 5:26 row 7 : 7 \| benassi bros \| dhany \| run to me \| sfaction version \| 5:09 row 8 : 8 \| benassi bros \| sandy \| get better \| sflow version \| 4:05 row 9 : 9 \| benassi bros \| dhany \| hit my heart \| sfaction mix \| 5:08 row 10 : 10 \| benassi bros \| sandy \| turn me up \| sfaction mix \| 5:48 row 11 : 11 \| benassi bros \| dhany \| somebody to touch me \| sflow version \| 5:49 row 12 : 12 \| benassi bros \| sandy \| light \| original version \| 7:30 row 13 : 13 \| benassi bros \| None \| megamix \| None \| 3:31 row 14 : 14 \| benassi bros \| None \| summer megamix 2005 \| None \| 4:11 row 15 : 15 \| benassi bros \| dhany \| make me feel \| dave leatherman remix \| 4:11 ] Execute this SQL based on the above table: select count ( * ) where title = 'rocket in the sky'	1
[ header: model \| release date \| sensor res., size \| lens (35 mm equiv.) zoom, aperture \| screen size, pixels \| dimensions w (mm) × h (mm) × d (mm) \| weight \| features row 1 : s01 \| aug 22, 2012 \| 10.1 mp 3648x2736 1/2 \| 29-87 mm (3×) f \| 2.5 in 230 kpixel \| 77 × 51.2 × 17.2 \| 96 g (w/batt. \| ccd sensor, 2.5 in touch screen row 2 : s30 \| feb 1, 2012 \| 10.1 mp 3648x2736 1/3 \| 29.1-87.3 mm (3×) \| 2.7 in 230 kpixel \| 101.9 × 64.8 × 39. \| 214 g (w/batt. \| compact drop-resistant and waterproof with large buttons and row 3 : s800c \| aug 22, 2012 \| 16.0 mp 4608x3456 1/2 \| 25-250 mm (10×) f \| 3.5 in 819 kpixel \| 111.4 × 60.0 × 27.2 \| 184 g (w/batt. \| android 2.3 os, 3.5 in row 4 : s1200pj \| aug 24, 2011 \| 14.1 mp 4320x3240 1/2 \| 28-140 mm (5×) f \| 3 in 460 kpixel \| 107 × 63.4 × 22.6 \| 186 g (w/batt. \| ccd sensor, built-in project row 5 : s2600 \| None \| 14.0 mp 4320x3240 1/2 \| 26-130 mm (5×) f \| 2.7 in 230 kpixel \| 93.8 × 58.4 × \| 121 g (w/batt. \| None row 6 : s3300 \| feb 1, 2012 \| 16.0 mp 4608x3456 1/2 \| 26-156 mm (6×) f \| 2.7 in 230 kpixel \| 94.8 × 57.8 × \| 128 g (w/batt. \| None row 7 : s4300 \| feb 1, 2012 \| 16.0 mp 4608x3456 1/2 \| 26-156 mm (6×) f \| 3 in 460 kpixel \| 95.5 × 58.9 × \| 139 g (w/batt. \| None row 8 : s6400 \| aug 22, 2012 \| 16.0 mp 4608x3456 1/2 \| 25-300 mm (12×) f \| 3.0 in 460 kpixel \| 95.4 × 58.6 × \| 150 g (w/batt.) \| cmos sensor, lens-based vibration reduction row 9 : s9300 \| feb 1, 2012 \| 16.0 mp 4608x3456 1/2 \| 25-450 mm (18×) f \| 3 in 921 kpixel \| 108.7 × 62.3 × \| 215 g (w/batt. \| s9200 with built in gp ] Execute this SQL based on the above table: select count ( sensor res., size ) where features = 'None' and model = '214 g (w/batt.)'	0
[ header: incumbent \| reason for vacancy \| appointed successor \| date of appointment \| elected successor \| date of election row 1 : l. b. lindsay \| disqualified, never took office \| henry e. prickett \| november 19, 1867 \| thomas b. hart \| january 1868 row 2 : john hailey \| never took office \| charles himrod \| july 10, 1871 \| george h. twitche \| july 8, 1872 row 3 : sol hasbrouck \| resigned november 5, 1885 \| james w. huston \| december 28, 1885 \| peter j. pefley \| july 1887 row 4 : harry fritchman \| resigned may 25, 1912 \| arthur hodges \| may 25, 1912 \| arthur hodges \| april 1, 1913 row 5 : j. w. robinson \| recalled june 1, 1916 \| s. h. hays \| june 6, 1916 \| s. h. hays \| april 1917 row 6 : herbert f. lemp \| died may 6, 1927 \| walter f. hansen \| may 6, 1927 \| james p. pope \| april 1929 row 7 : james p. pope \| resigned february 13, 1933 \| ross cady \| february 13, 1933 \| j. j. mccu \| april 1933 row 8 : byron e. hyat \| died november 11, 1936 \| j. l. edle \| november 11, 1936 \| j. l. edle \| april 1937 row 9 : h. w. whillock \| resigned may 11, 1942 \| austin walker \| may 11, 1942 \| austin walker \| april 1943 row 10 : austin walker sam s \| died october 31, 1945 re \| sam s. griffin \| october 31, 1945 february \| potter p. howard \| april 1947 row 11 : dirk kempthorne \| resigned january 5, 1993 \| h. brent coles \| january 5, 1993 \| h. brent coles \| november 1993 row 12 : h. brent coles \| resigned february 15, 2003 \| carolyn terteling-p \| february 18, 2003 \| david h. bieter \| november 2003 ] Execute this SQL based on the above table: select count ( incumbent )	12
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 2001 \| beijing marathon \| beijing, pr china \| 7th \| marathon \| 2:10:46 row 2 : 2002 \| beijing marathon \| beijing, pr china \| 1st \| marathon \| 2:13:09 row 3 : 2004 \| olympic games \| athens, greece \| 31st \| marathon \| 2:19:26 row 4 : 2007 \| xiamen international marathon \| xiamen, pr china \| 1st \| marathon \| 2:13:17 row 5 : 2007 \| world championships \| osaka, japan \| 43rd \| marathon \| 2:32:44 row 6 : 2008 \| olympic games \| beijing, pr china \| 51st \| marathon \| 2:24:08 ] Execute this SQL based on the above table: select competition order by year asc limit 1	beijing marathon
[ header: outcome \| no. \| date \| tournament \| surface \| partner \| opponents in the final \| score in the final row 1 : runner-up \| 1 \| 1972 \| stockholm, sweden \| hard (i) \| roy emerson \| tom okker marty ries \| 5-7, 6-7 row 2 : runner-up \| 2 \| 1973 \| miami wct, us \| hard \| terry addison \| roy emerson rod laver \| 4-6, 4-6 row 3 : runner-up \| 3 \| 1973 \| richmond wct, us \| carpet \| terry addison \| roy emerson rod laver \| 6-3, 3-6, 4-6 row 4 : runner-up \| 4 \| 1973 \| st. louis, us \| carpet \| terry addison \| ove nils bengtson \| 2-6, 5-7 row 5 : runner-up \| 5 \| 1973 \| columbus, us \| hard \| charles pasarell \| gerald battrick graham \| 4-6, 6-7 row 6 : winner \| 1 \| 1973 \| merion, us \| grass \| allan stone \| john austin fred m \| 7-6, 6-3 row 7 : winner \| 2 \| 1973 \| hong kong \| hard \| rod laver \| paul gerken brian gott \| 6-3, 5-7, 17-15 row 8 : winner \| 3 \| 1974 \| houston, us \| clay \| rod laver \| arthur ashe roscoe t \| 4-6, 7-6, 6-4 row 9 : runner-up \| 7 \| 1975 \| orlando wct, us \| hard \| ray ruffels \| brian gottfried raul \| 4-6, 4-6 row 10 : winner \| 6 \| 1976 \| palm springs, us \| hard \| sandy mayer \| raymond moore erik van \| 6-4, 6-7, 7-6 row 11 : winner \| 7 \| 1976 \| palma, spain \| clay \| john andrews \| mark edmondson john marks \| 2-6, 6-3, 6-2 row 12 : runner-up \| 8 \| 1976 \| madrid, spain \| clay \| john andrews \| carlos kirmayr eduard \| 6-7, 6-4, 6-8 row 13 : winner \| 9 \| 1977 \| little rock, us \| carpet \| haroon rahim \| bob hewitt frew \| 6-7, 6-3, 6-3 row 14 : winner \| 10 \| 1977 \| denver, us \| carpet \| geoff masters \| syd ball kim warwick \| 6-2, 6-3 row 15 : winner \| 11 \| 1977 \| south orange, us \| hard \| wojtek fibak \| ion tiriac guiller \| 6-1, 7-5 row 16 : runner-up \| 10 \| 1978 \| johannesburg, south africa \| hard \| geoff masters \| bob hewitt frew \| 5-7, 6-7 row 17 : runner-up \| 11 \| 1978 \| newport, us \| grass \| bob giltinan \| tim gullikson tom gul \| 4-6, 4-6 row 18 : winner \| 13 \| 1978 \| columbus, us \| clay \| bob giltinan \| marcello lara elio \| 6-2, 6-3 row 19 : runner-up \| 13 \| 1979 \| tulsa, us \| hard (i) \| tom gullikson \| francisco gonzalez e \| 7-6, 5-7, 3-6 row 20 : runner-up \| 14 \| 1979 \| stowe, us \| hard \| anand amritraj \| mike cahill steve k \| 6-3, 3-6, 4-6 ] Execute this SQL based on the above table: select no. where score in the final = '6-7, 6-4, 6-8'	8
[ header: year \| title \| chart positions nor \| chart positions aus \| chart positions aut \| chart positions bel \| chart positions ger \| chart positions nl \| chart positions nz \| chart positions swe \| chart positions swi \| chart positions uk \| album row 1 : 2003 \| "she's so high" \| 1 \| 60 \| 42 \| 9 \| 25 \| 16 \| 38 \| None \| 91 \| 25 \| i row 2 : 2004 \| "here she comes" \| 12 \| None \| None \| 53 \| None \| None \| None \| None \| None \| None \| i row 3 : 2004 \| "all you have to offer" \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| i row 4 : 2004 \| "my street" \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| a part of me row 5 : 2004 \| "before you leave" \| None \| None \| None \| 52 \| None \| None \| None \| None \| None \| None \| a part of me row 6 : 2005 \| "never easy" \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| a part of me row 7 : 2006 \| "when the stars go blue" (feat \| 14 \| None \| None \| None \| None \| None \| None \| None \| None \| None \| venke knutson's places row 8 : 2006 \| "hallelujah" (with espen \| 1 \| None \| None \| None \| None \| None \| None \| None \| None \| None \| hallelujah - live row 9 : 2006 \| "boys of summer" (with espen \| 12 \| None \| None \| None \| None \| None \| None \| None \| None \| None \| hallelujah - live row 10 : 2007 \| "push, push" \| 1 \| None \| None \| None \| None \| None \| None \| None \| None \| None \| push push row 11 : 2007 \| "silence" \| 9 \| None \| None \| None \| None \| None \| None \| None \| None \| None \| push push row 12 : 2008 \| "reality kicks" \| 20 \| None \| None \| None \| None \| None \| None \| None \| None \| None \| push push row 13 : 2008 \| "lost highway" (featuring will \| 1 \| None \| None \| None \| None \| None \| None \| None \| None \| None \| rise to the occasion row 14 : 2008 \| "don't have what it takes" \| 19 \| None \| None \| None \| None \| None \| None \| None \| None \| None \| rise to the occasion row 15 : 2008 \| "rise to the occasion" \| None \| None \| None \| None \| None \| None \| None \| 38 \| None \| None \| rise to the occasion row 16 : 2009 \| "with or without you" (with espen \| 1 \| None \| None \| None \| None \| None \| None \| None \| None \| None \| hallelujah - live volume 2 row 17 : 2010 \| "himmel pa jord" \| 5 \| None \| None \| None \| None \| None \| None \| None \| None \| None \| have yourself a merry little christmas row 18 : 2013 \| "adieu" \| 9 \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None row 19 : 2013 \| "engler i sneen \| 7 \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None ] Execute this SQL based on the above table: select count ( distinct title ) where album = 'None'	0
[ header: year \| single \| peak chart positions us mod \| peak chart positions uk \| album row 1 : 1997 \| "automatic" \| None \| None \| losing streak row 2 : 1997 \| "dopeman" \| None \| None \| losing streak row 3 : 1997 \| "dopeman" (remix) \| None \| None \| non-album single row 4 : 1997 \| "howie j. rey \| None \| None \| non-album single row 5 : 1998 \| "history of a boring town" \| 39 \| None \| hello rockview row 6 : 2000 \| "all my best friends are metalheads" \| None \| 51 \| hello rockview row 7 : 2000 \| "all my best friends are metalheads" \| None \| None \| non-album single row 8 : 2001 \| "gainesville rock city" \| None \| 57 \| borders & boundaries row 9 : 2003 \| "she's gonna break soon" \| None \| 39 \| anthem row 10 : 2003 \| "the science of selling yourself short" \| 36 \| 78 \| anthem row 11 : 2003 \| "surrender" \| None \| None \| anthem row 12 : 2006 \| "overrated (everything is)" \| None \| 61 \| in with the out crowd row 13 : 2006 \| "the rest of my life" \| None \| 77 \| in with the out crowd row 14 : 2008 \| "does the lion city still \| None \| None \| gnv fla row 15 : 2008 \| "abandon ship" \| None \| None \| gnv fla ] Execute this SQL based on the above table: select max ( peak chart positions us mod )	39.0
[ header: nationality \| name \| term as a deputy judge \| reason for termination row 1 : norway \| frederik beichmann \| 30 january 1920 - 6 de \| not re-elected row 2 : china \| wang ch'ung-hui \| 30 january 1920 - 6 de \| not re-elected row 3 : finland \| rafael erich \| 15 january 1931 - 1 \| post abolished row 4 : portugal \| jose caeiro da matta \| 15 january 1931 - 1 \| post abolished row 5 : romania \| demetre negulesco \| 30 january 1920 - 6 de \| not re-elected row 6 : yugoslavia \| mileta novakovic \| 15 january 1931 - 1 \| post abolished row 7 : austria \| josef redlich \| 15 january 1931 - 1 \| post abolished row 8 : yugoslavia \| mihajlo jovanovic \| 30 january 1920 - 6 de \| not re-elected ] Execute this SQL based on the above table: select name where id = ( select id where name = 'demetre negulesco' ) - 1	jose caeiro da matta
[ header: no. \| title (latin) \| title (english translation) \| subject \| date row 1 : 1 \| qui pluribus \| None \| on faith and religion \| 9 november 1846 row 2 : 2 \| praedecessores nostros \| None \| on aid for ireland \| 25 march 1847 row 3 : 4 \| ubi primum \| None \| on immaculate conception \| 2 february 1849 row 4 : 5 \| nostis et nobiscum \| None \| on the church in the papal states \| 8 december 1849 row 5 : 6 \| exultavit cor nostrum \| None \| on the effects of the jubilee \| 21 november 1851 row 6 : 7 \| nemo certe ignorat \| None \| on discipline for clergy \| 25 march 1852 row 7 : 8 \| probe noscitis venerabiles \| None \| on the discipline for clergy \| 17 may 1852 row 8 : 9 \| inter multiplices \| None \| pleading for unity of spirit \| 21 march 1853 row 9 : 10 \| neminem vestrum \| None \| on the persecution of armenians \| 2 february 1854 row 10 : 11 \| optime noscitis \| None \| on the proposed catholic university of irel \| 20 march 1854 row 11 : 13 \| optime noscitis \| None \| on episcopal meetings \| 5 november 1855 row 12 : 14 \| singulari quidem \| None \| on the church in austria \| 17 march 1856 row 13 : 15 \| cum nuper \| None \| on care for clerics \| 20 january 1858 row 14 : 16 \| amantissimi redemptoris \| None \| on priests and the care of souls \| 3 may 1858 row 15 : 17 \| cum sancta mater eccle \| None \| pleading for public prayer \| 27 april 1859 row 16 : 18 \| qui nuper \| None \| on the pontifical states \| 18 june 1859 row 17 : 19 \| nullis certe verbis \| None \| on the need for civil sovereignty \| 19 january 1860 row 18 : 20 \| amantissimus \| None \| on the care of the churches \| 8 april 1862 row 19 : 22 \| incredibili \| None \| on the persecution in new granada \| 17 september 1863 row 20 : 24 \| quanta cura \| None \| condemning current errors \| 8 december 1864 row 21 : 25 \| meridionali americae \| None \| on the seminary for the native clergy \| 30 september 1865 row 22 : 26 \| levate \| None \| on the affiliations of church \| 27 october 1867 row 23 : 27 \| respicientes \| None \| protesting the taking of the pontifical states \| 1 november 1870 row 24 : 28 \| ubi nos \| "our city" \| on the pontifical states \| 15 may 1871 row 25 : 29 \| beneficia dei \| None \| on the 25th anniversary of his pontificate \| 4 june 1871 row 26 : 30 \| saepe venerabiles \| None \| thanksgiving for 25 years of pontificate \| 5 august 1871 row 27 : 31 \| quae in patriarchatu \| None \| on the church in chaldea \| 16 november 1872 row 28 : 32 \| quartus supra \| None \| on the church in armenia \| january 1873 row 29 : 34 \| vix dum a nobis \| None \| on the church in austria \| 7 march 1874 row 30 : 35 \| omnem sollicitudinem \| None \| on the greek-ruthenian rite \| 13 may 1874 row 31 : 36 \| gravibus ecclesia \| None \| proclaiming a jubilee \| 24 december 1874 row 32 : 37 \| quod nunquam \| None \| on the church in prussia \| 5 february 1875 row 33 : 38 \| graves ac diuturnae \| None \| on the church in switzerland \| 23 march 1875 ] Execute this SQL based on the above table: select title (latin) where id = ( select id where title (latin) = 'probe noscitis venerabiles' ) - 1	nemo certe ignorat
[ header: athlete \| nation \| olympics \| gold \| silver \| bronze \| total row 1 : gillis grafstrom \| sweden (swe) \| 1920-1932 \| 3 \| 1 \| 0 \| 4 row 2 : evgeni plushenko \| russia (rus) \| 2002-2014 \| 2 \| 2 \| 0 \| 4 row 3 : ludmila belousova \| soviet union (urs) \| 1964-1968 \| 2 \| 0 \| 0 \| 2 row 4 : dick button \| united states (usa) \| 1948-1952 \| 2 \| 0 \| 0 \| 2 row 5 : ekaterina gordeeva \| soviet union (urs) russia ( \| 1988, 1994 \| 2 \| 0 \| 0 \| 2 row 6 : tatiana volosozhar \| russia (rus) \| 2014 \| 2 \| 0 \| 0 \| 2 row 7 : katarina witt \| east germany (gdr) \| 1984-1988 \| 2 \| 0 \| 0 \| 2 row 8 : marina klimova / sergei \| unified team (eun) soviet \| 1984-1992 \| 1 \| 1 \| 1 \| 3 row 9 : tenley albright \| united states (usa) \| 1952-1956 \| 1 \| 1 \| 0 \| 2 row 10 : elena berezhnay \| russia (rus) \| 1998-2002 \| 1 \| 1 \| 0 \| 2 row 11 : carol heiss \| united states (usa) \| 1956-1960 \| 1 \| 1 \| 0 \| 2 row 12 : kim yu-na \| south korea (kor) \| 2010-2014 \| 1 \| 1 \| 0 \| 2 row 13 : shen xue / z \| china (chn) \| 2002-2010 \| 1 \| 0 \| 2 \| 3 row 14 : jeannette altwegg \| great britain (gbr) \| 1948-1952 \| 1 \| 0 \| 1 \| 2 row 15 : marina anissina / g \| france (fra) \| 1998-2002 \| 1 \| 0 \| 1 \| 2 row 16 : beatrix loughran \| united states (usa) \| 1924-1932 \| 0 \| 2 \| 1 \| 3 row 17 : patrick chan \| canada (can) \| 2014 \| 0 \| 2 \| 0 \| 2 row 18 : marika kilius / hans \| unified team of germany (eua \| 1960-1964 \| 0 \| 2 \| 0 \| 2 row 19 : brian orser \| canada (can) \| 1984-1988 \| 0 \| 2 \| 0 \| 2 row 20 : elvis stojko \| canada (can) \| 1994-1998 \| 0 \| 2 \| 0 \| 2 row 21 : phyllis johnson \| great britain (gbr) \| 1908-1920 \| 0 \| 1 \| 1 \| 2 row 22 : michelle kwan \| united states (usa) \| 1998-2002 \| 0 \| 1 \| 1 \| 2 row 23 : irina slut \| russia (rus) \| 2002-2006 \| 0 \| 1 \| 1 \| 2 row 24 : philippe candeloro \| france (fra) \| 1994-1998 \| 0 \| 0 \| 2 \| 2 row 25 : manuela groß / uwe ka \| east germany (gdr) \| 1972-1976 \| 0 \| 0 \| 2 \| 2 row 26 : chen lu \| china (chn) \| 1994-1998 \| 0 \| 0 \| 2 \| 2 row 27 : patrick pera \| france (fra) \| 1968-1972 \| 0 \| 0 \| 2 \| 2 ] Execute this SQL based on the above table: select nation where total = 3	unified team (eun) soviet union (urs), china (chn), united states (usa)
[ header: year \| competition \| venue \| position \| notes row 1 : 2002 \| world junior championships \| kingston, jamaica \| 1st \| 64.51 m (1.75 kg) row 2 : 2002 \| asian games \| busan, south korea \| 1st \| 60.76 m row 3 : 2003 \| universiade \| daegu, south korea \| 1st \| 62.32 m row 4 : 2003 \| asian championships \| manila, philippines \| 1st \| 61.43 m row 5 : 2004 \| olympic games \| athens, greece \| 18th (q) \| 60.60 m row 6 : 2005 \| world championships \| helsinki, finland \| 18th (q) \| 61.75 m row 7 : 2005 \| universiade \| izmir, turkey \| 7th \| 59.67 m row 8 : 2005 \| east asian games \| macau \| 1st \| 61.74 m row 9 : 2006 \| asian games \| doha, qatar \| 5th \| 58.54 m row 10 : 2009 \| asian championships \| guangzhou, china \| 3rd \| 59.27 m ] Execute this SQL based on the above table: select venue where position != '1st'	athens, greece, helsinki, finland, izmir, turkey, doha, qatar, guangzhou, china
[ header: team \| location \| venue \| capacity \| position in 1993-94 row 1 : dinamo minsk \| minsk \| dinamo, minsk \| 41040 \| 1 row 2 : dinamo-93 \| minsk \| dinamo, minsk \| 41040 \| 2 row 3 : dvina \| vitebsk \| central, vitebsk \| 8300 \| 3 row 4 : dnepr \| mogilev \| spartak, mogilev \| 11200 \| 4 row 5 : bobruisk \| bobruisk \| spartak, bobruisk \| 3550 \| 5 row 6 : torpedo minsk \| minsk \| torpedo, minsk \| 5200 \| 6 row 7 : shinnik \| bobruisk \| spartak, bobruisk \| 3550 \| 7 row 8 : dinamo brest \| brest \| dinamo, brest \| 10080 \| 8 row 9 : molodechno \| molodechno \| city stadium, molodechno \| 5500 \| 9 row 10 : lokomotiv \| vitebsk \| central, vitebsk \| 8300 \| 10 row 11 : neman \| grodno \| neman \| 6300 \| 11 row 12 : vedrich \| rechytsa \| central, rechytsa \| 3550 \| 12 row 13 : shakhtyor \| soligorsk \| stroitel \| 5000 \| 13 row 14 : torpedo mogilev \| mogilev \| torpedo, mogilev \| 3500 \| 14 row 15 : gomselmash \| gomel \| central, gomel \| 11800 \| 15 row 16 : obuvshchik \| lida \| city stadium, lida \| 4000 \| first league, 1 ] Execute this SQL based on the above table: select count ( venue )	16
[ header: city 2010 census \| chinese \| built-up area \| urban area \| level \| administrative area \| province-level division \| remarks row 1 : suzhou \| 苏州 \| shanghai \| 5349090 \| prefecture-level city \| 10465994 \| jiangsu \| None row 2 : yangzhou \| 扬州 \| 2399079 \| 2399079 \| prefecture-level city \| 4459760 \| jiangsu \| None row 3 : huizhou \| 惠州 \| guangzhou \| 2344507 \| prefecture-level city \| 4597002 \| guangdong \| 2 urban districts part of guangzhou- row 4 : baotou \| 包头 \| 2034996 \| 2070801 \| prefecture-level city \| 2650364 \| inner mongolia \| shiguai urban district not yet urban row 5 : jilin city \| 吉林市 \| 1975803 \| 1975803 \| prefecture-level city \| 4414681 \| jilin \| None row 6 : cixi \| 慈溪 \| 1462383 \| 1462383 \| county-level city \| ningbo \| zhejiang \| None row 7 : datong \| 大同 \| 1447550 \| 1570035 \| prefecture-level city \| 3318057 \| shanxi \| None row 8 : panjin \| 盘锦 \| 1392493 \| 666205 \| prefecture-level city \| 1392493 \| liaoning \| incl. 2 urban districts plus d row 9 : fushun \| 抚顺 \| shenyang \| 1356987 \| prefecture-level city \| 2138090 \| liaoning \| None row 10 : yingkou \| 营口 \| 1351519 \| 738128 \| prefecture-level city \| 2428534 \| liaoning \| incl. dashiqia row 11 : xining \| 西宁 \| 1198304 \| 1198304 \| prefecture-level city provincial capital \| 2208708 \| qinghai \| None row 12 : tianshui \| 天水 \| 1197174 \| 1197174 \| prefecture-level city \| 3262548 \| gansu \| None row 13 : taixing \| 泰兴市 \| 1192213 \| 1192213 \| county-level city \| taizhou \| jiangsu \| None row 14 : qujing \| 曲靖 \| 1171805 \| 740925 \| prefecture-level city \| 5855055 \| yunnan \| incl. zhanyi county row 15 : jining \| 济宁 \| 1115300 \| 1115300 \| prefecture-level city \| 8081900 \| shandong \| None row 16 : jinhua \| 金华 \| 1077300 \| 1077300 \| prefecture-level city \| 5361600 \| zhejiang \| None row 17 : pingdingshan \| 平顶山 \| 1033975 \| 1033975 \| prefecture-level city \| 4904367 \| henan \| None row 18 : qiqihar \| 齐齐哈尔 \| 979517 \| 1481637 \| prefecture-level city \| 5611000 \| heilongjiang \| incl. longsha, j row 19 : bengbu \| 蚌埠 \| 972784 \| 972784 \| prefecture-level city \| 3164467 \| anhui \| None row 20 : danyang \| 丹阳市 \| 960418 \| 960418 \| county-level city \| zhenjiang \| jiangsu \| None row 21 : wuchuan \| 吴川 \| 947499 \| 947499 \| county-level city \| zhanjiang \| guangdong \| None ] Execute this SQL based on the above table: select city 2010 census order by built-up area desc limit 1	yangzhou
[ header: club \| founded \| nickname \| location \| home ground \| entered competition \| most recent promotion row 1 : bundoora football club \| 1974 \| bulls \| bundoora \| yulong reserve \| 1981 \| 1982 row 2 : eltham football club \| 1909 \| panthers \| eltham \| central park \| 1922 \| 2003 row 3 : greensborough football club \| 1905 \| boro \| greensborough \| war memorial park \| 1922 \| 2007 row 4 : heidelberg football club \| 1876 \| tigers \| heidelberg \| warringal park \| 1923 \| 1983 row 5 : lalor football club \| 1955 \| bloods \| lalor \| lalor reserve \| 1968 \| 2011 row 6 : macleod football club \| 1946 \| kangaroos \| rosanna \| de winton park \| 1947 \| 2010 row 7 : montmorency football club \| 1924 \| magpies \| montmorency \| montmorency park, north oval \| 1924 \| None row 8 : north heidelberg football club \| 1958 \| bulldogs \| heidelberg heights \| shelley street reserve \| 1958 \| None row 9 : northcote park football club \| 1952 \| cougars \| northcote \| bill lawry oval \| 1982 \| 1995 row 10 : west preston lakeside football club \| 1998 \| roosters \| reservoir \| j e moore park \| 1996 \| 1997 ] Execute this SQL based on the above table: select nickname where id = ( select id where nickname = 'bulldogs' ) - 1	magpies
[ header: year \| single \| chart \| position row 1 : 1999 \| "heavy" \| billboard hot 100 \| 73 row 2 : 1999 \| "heavy" \| mainstream rock tracks \| 1 row 3 : 1999 \| "heavy" \| modern rock tracks \| 5 row 4 : 1999 \| "run" \| billboard hot 100 \| 76 row 5 : 1999 \| "run" \| modern rock tracks \| 36 row 6 : 1999 \| "run" \| adult top 40 \| 12 row 7 : 1999 \| "no more, no less" \| mainstream rock tracks \| 10 row 8 : 1999 \| "no more, no less" \| modern rock tracks \| 32 row 9 : 1999 \| "tremble for my beloved" \| mainstream rock tracks \| 35 ] Execute this SQL based on the above table: select max ( position ) - min ( position )	75.0
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 1 \| emerson fittipaldi \| mclaren-ford \| 53 \| 1:39:26.29 \| 5 \| 9 row 2 : 2 \| 24 \| james hunt \| hesketh-ford \| 53 \| + 5.91 \| 6 \| 6 row 3 : 3 \| 7 \| carlos reutemann \| brabham-ford \| 53 \| + 17.06 \| 3 \| 4 row 4 : 4 \| 11 \| clay regazzoni \| ferrari \| 53 \| + 35.79 \| 7 \| 3 row 5 : 5 \| 4 \| patrick depailler \| tyrrell-ford \| 53 \| + 54.25 \| 8 \| 2 row 6 : 6 \| 12 \| niki lauda \| ferrari \| 53 \| + 1:19.65 \| 4 \| 1 row 7 : 7 \| 28 \| mark donohue \| penske-ford \| 52 \| + 1 lap \| 16 \| None row 8 : 8 \| 6 \| jacky ickx \| lotus-ford \| 52 \| + 1 lap \| 18 \| None row 9 : 9 \| 9 \| vittorio brambilla \| march-ford \| 52 \| + 1 lap \| 12 \| None row 10 : 10 \| 22 \| graham hill \| lola-ford \| 52 \| + 1 lap \| 21 \| None row 11 : 11 \| 3 \| jody scheckter \| tyrrell-ford \| 52 \| + 1 lap \| 9 \| None row 12 : 12 \| 16 \| tom pryce \| shadow-ford \| 51 \| transmission \| 14 \| None row 13 : 13 \| 23 \| rolf stommelen \| lola-ford \| 51 \| + 2 laps \| 19 \| None row 14 : 14 \| 2 \| jochen mass \| mclaren-ford \| 50 \| + 3 laps \| 13 \| None row 15 : ret \| 8 \| carlos pace \| brabham-ford \| 46 \| engine \| 2 \| None row 16 : nc \| 20 \| arturo merzario \| williams-ford \| 44 \| not classified \| 20 \| None row 17 : ret \| 27 \| mario andretti \| parnelli-ford \| 27 \| transmission \| 10 \| None row 18 : ret \| 14 \| mike wilds \| brm \| 24 \| engine \| 22 \| None row 19 : ret \| 5 \| ronnie peterson \| lotus-ford \| 15 \| engine \| 11 \| None row 20 : ret \| 21 \| jacques laffite \| williams-ford \| 15 \| gearbox \| 17 \| None row 21 : ret \| 30 \| wilson fittipaldi \| fittipaldi-ford \| 12 \| accident \| 23 \| None row 22 : dsq \| 18 \| john watson \| surtees-ford \| 6 \| disqualified \| 15 \| None row 23 : dns \| 17 \| jean-pierre jarier \| shadow-ford \| 0 \| transmission \| 1 \| None ] Execute this SQL based on the above table: select count ( * ) where driver = 'mark donohue'	1
[ header: institution \| location \| athletic nickname \| undergraduate enrollment \| graduate enrollment \| total enrollment \| 2013 endowment (and us rank) \| academic staff \| motto row 1 : brown university \| providence, rhode island \| bears \| 6316 \| 2333 \| 8649 \| $2.7 billion (30th) \| 736 \| in deo speramus (in god row 2 : columbia university \| new york, new york \| lions \| 7160 \| 15760 \| 22920 \| $8.2 billion (9th) \| 3763 \| in lumine tuo videb row 3 : cornell university \| ithaca, new york \| big red \| 13931 \| 6702 \| 20633 \| $5.3 billion (18th) \| 2908 \| i would found an institution where any person can row 4 : dartmouth college \| hanover, new hampshire \| big green \| 4248 \| 1893 \| 6141 \| $3.7 billion (22nd) \| 571 \| vox clamantis in deserto row 5 : harvard university \| cambridge, massachusetts \| crimson \| 7181 \| 14044 \| 21225 \| $32.3 billion (1st) \| 4671 \| veritas (truth) row 6 : princeton university \| princeton, new jersey \| tigers \| 5113 \| 2479 \| 7592 \| $18.2 billion (5th) \| 1172 \| dei sub numine viget (under god row 7 : university of pennsylvania \| philadelphia, pennsy \| quakers \| 10337 \| 10306 \| 20643 \| $7.7 billion (11th) \| 4464 \| leges sine moribus vanae row 8 : yale university \| new haven, connecticut \| bulldogs \| 5275 \| 6391 \| 11666 \| $20.8 billion (2nd) \| 4140 \| אורים ותומים lux et ver ] Execute this SQL based on the above table: select athletic nickname where athletic nickname in ( 'lions' , 'bulldogs' , 'big red' ) order by graduate enrollment limit 1	bulldogs
[ header: number \| driver \| entrant \| chassis \| engine \| tyre row 1 : 1 \| jimmy bryan \| dean van lines \| kuzma \| offenhauser \| f row 2 : 2 \| john lawrence \| ecurie ecosse \| jaguar d-type \| jaguar \| d row 3 : 4 \| jack fairman \| ecurie ecosse \| jaguar d-type \| jaguar \| d row 4 : 6 \| ninian sanderson \| ecurie ecosse \| jaguar d-type \| jaguar \| d row 5 : 7 \| bob veith \| bob estes \| phillips \| offenhauser \| f row 6 : 8 \| jean behra \| maserati \| maserati 250f \| maserati \| f row 7 : 8 \| jean behra \| maserati \| maserati 450s1 \| maserati \| f row 8 : 12 \| pat o'connor \| sumar \| kurtis kraft 500g \| offenhauser \| f row 9 : 16 \| mario bornigia \| scuderia cottione \| ferrari \| ferrari \| None row 10 : 27 \| tony bettenhausen \| novi auto air conditioning \| kurtis kraft 500f \| novi (s/c) \| f row 11 : 35 \| eddie sachs \| jim robbins \| kurtis kraft 500g \| offenhauser \| f row 12 : 49 \| ray crawford \| meguiar mirror glaze \| kurtis kraft 500g \| offenhauser \| f row 13 : 52 \| troy ruttman \| john zink \| watson \| offenhauser \| f row 14 : 52 \| jim rathmann2 \| john zink \| watson \| offenhauser \| f row 15 : 54 \| paul russo \| novi auto air conditioning \| kurtis kraft 500f \| novi (s/c) \| f row 16 : 73 \| andy linden \| mcnamara veedo \| kurtis kraft 500g \| offenhauser \| f row 17 : 98 \| johnnie parsons \| agajanian \| kuzma \| offenhauser \| f ] Execute this SQL based on the above table: select count ( driver )	17
[ header: game \| date \| team \| score \| high points \| high rebounds \| high assists \| location attendance \| record row 1 : 75 \| april 1 \| @ sacramento \| w 99-90 \| raymond felton (17) \| nene (12) \| nene (6) \| power balance pavilion 15,871 \| 46-29 row 2 : 76 \| april 3 \| @ l.a. lakers \| w 95-90 \| danilo gallinari (22) \| kenyon martin (8) \| ty lawson (8) \| staples center 18,997 \| 47-29 row 3 : 77 \| april 5 \| oklahoma city \| l 94-101 \| ty lawson (28) \| nene (8) \| ty lawson (5) \| pepsi center 18,203 \| 47-30 row 4 : 78 \| april 6 \| @ dallas \| w 104-96 \| j. r. smith (23) \| nene (15) \| ty lawson (8) \| american airlines center 20,364 \| 48-30 row 5 : 79 \| april 8 \| @ oklahoma city \| l 89-104 \| nene (18) \| kenyon martin (13) \| ty lawson (6) \| oklahoma city arena 18,203 \| 48-31 row 6 : 80 \| april 9 \| minnesota \| w 130-106 \| ty lawson (37) \| kenyon martin, j \| raymond felton (14) \| pepsi center 19,155 \| 49-31 row 7 : 81 \| april 11 \| golden state \| w 134-111 \| j. r. smith (22) \| chris andersen (12) \| raymond felton (10) \| pepsi center 19,155 \| 50-31 row 8 : 82 \| april 13 \| @ utah \| l 103-107 \| wilson chandler (27) \| chris andersen (10) \| wilson chandler, gary \| energysolutions arena 19,051 \| 50-32 ] Execute this SQL based on the above table: select sum ( game )	628.0
[ header: release date \| album \| catalog number \| chart position \| notes row 1 : march 5, 1991 \| niji-iro no sneaker \| kida-15 \| 43 \| single row 2 : march 21, 1991 \| half and half \| kics-100 \| 45 \| album row 3 : march 5, 1992 \| whatever \| kics-176 \| 18 \| album row 4 : june 24, 1992 \| yume wo dakishimet \| kida-42 \| 90 \| single - magical princess minky momo theme row 5 : august 5, 1992 \| haruneko fushigi t \| kida-45 \| 49 \| single - all purpose cultural cat girl nuku row 6 : march 24, 1993 \| our goody day...bokura no good day \| kida-54 \| 54 \| single row 7 : august 23, 1993 \| shamrock \| kics-345 \| 12 \| album row 8 : may 25, 1994 \| until strawberry sherbet \| kida-81 \| 42 \| single - contains themes for bakuret row 9 : november 3, 1994 \| touch and go!! \| kida-90 \| 37 \| single - contain themes for the show blue seed row 10 : december 21, 1994 \| pulse \| tycy-5413 \| 84 \| single (re-release) row 11 : july 2, 1994 \| sphere \| kics-430 \| 8 \| album row 12 : july 21, 1995 \| midnight blue \| kida-108 \| 27 \| single - slayers the motion picture row 13 : december 6, 1995 \| going history \| kida-124 \| 25 \| single - slayers extra theme row 14 : may 22, 1996 \| kagirinai yokubou \| kida-134 \| 20 \| single - slayers special ova row 15 : october 23, 1996 \| successful mission \| kida-138 \| 7 \| single - contains themes for saber row 16 : april 23, 1997 \| don't be discouraged \| kida-148 \| 4 \| single - slayers try ending row 17 : august 6, 1997 \| iravati \| kics-640 \| 5 \| album row 18 : february 4, 1998 \| fine colorday \| kida-158 \| 9 \| single - contains themes for the show all purpose row 19 : september 4, 1998 \| a house cat \| kida-165 \| 6 \| single - contains themes to the show all purpose row 20 : october 10, 1998 \| proof of myself \| kida-170 \| 9 \| single saber marionette j row 21 : june 21, 2000 \| vintage a \| kics-810 \| 4 \| greatest hits compilation row 22 : october 25, 2000 \| unsteady \| kida-204 \| 14 \| single - contains themes from muteki row 23 : july 21, 2001 \| maemuki roketto \| zmcp-1259 \| 62 \| pocket monsters 12th ending single row 24 : august 29, 2001 \| over soul \| kicm-3016 \| 7 \| single - shaman king themes row 25 : december 5, 2001 \| feel well \| kicm-3020 \| 11 \| single - slayers premium theme row 26 : april 24, 2002 \| treat or goblins \| kicm-3030 \| 19 \| single - magical shopping arcade abenob row 27 : june 26, 2002 \| feel well \| kics-955 \| 7 \| album row 28 : september 25, 2002 \| koibumi \| kicm-3035 \| 7 \| single row 29 : september 26, 2003 \| makenaide makenaide \| kicm-1083 \| 8 \| single - contains the themes for hayashi ] Execute this SQL based on the above table: select catalog number where notes = 'single'	kida-15, kida-54, kicm-3035
[ 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 area (km2) where capital = 'santo domingo este' order by population asc limit 224	1296.35
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 27 march 1977 \| rico perez, alicante \| hungary \| 1-1 \| 1-1 \| friendly row 2 : 2 \| 4 october 1978 \| maksimir, zagreb \| yugoslavia \| 0-1 \| 1-2 \| euro 1980 qualifying row 3 : 3 \| 24 september 1980 \| nepstadion, \| hungary \| 0-1 \| 2-2 \| friendly row 4 : 4 \| 18 february 1981 \| vicente calderon, madrid, \| france \| 1-0 \| 1-0 \| friendly row 5 : 5 \| 23 june 1981 \| azteca, mexico city \| mexico \| 0-1 \| 1-3 \| friendly row 6 : 6 \| 23 june 1981 \| azteca, mexico city \| mexico \| 0-2 \| 1-3 \| friendly row 7 : 7 \| 28 june 1981 \| olimpico, caracas, \| venezuela \| 0-1 \| 0-2 \| friendly row 8 : 8 \| 20 june 1982 \| luis casanova, valencia, \| yugoslavia \| 1-1 \| 2-1 \| 1982 fifa world cup ] Execute this SQL based on the above table: select # - # where opponent = 'yugoslavia'	0.0, 0.0
[ header: region \| rnd \| host \| venue \| city \| state row 1 : east \| 1 \| florida state university \| tully gymnasium \| tallahassee \| florida row 2 : east \| 1 \| old dominion university \| old dominion university fieldhouse \| norfolk \| virginia row 3 : east \| 1 \| university of maryland \| cole field house \| college park \| maryland row 4 : east \| 2 \| providence college \| alumni hall (providence) \| providence \| rhode island row 5 : east \| 2 \| university of connecticut \| harry a. gampel pavilion \| storrs \| connecticut row 6 : east \| 2 \| university of tennessee \| thompson-boling arena \| knoxville \| tennessee row 7 : east \| 2 \| university of virginia \| university hall (university of virginia) \| charlottesville \| virginia row 8 : mideast \| 1 \| depaul university \| alumni hall (depaul university) \| chicago \| illinois row 9 : mideast \| 1 \| university of south carolina \| carolina coliseum \| columbia \| south carolina row 10 : mideast \| 1 \| tennessee tech \| eblen center \| cookeville \| tennessee row 11 : mideast \| 1 \| vanderbilt university \| memorial gymnasium (vanderbilt university) \| nashville \| tennessee row 12 : mideast \| 2 \| auburn university \| memorial coliseum (beard- \| auburn \| alabama row 13 : mideast \| 2 \| northwestern university \| welsh-ryan arena \| evanston \| illinois row 14 : mideast \| 2 \| university of iowa \| carver-hawkeye arena \| iowa city \| indiana row 15 : mideast \| 2 \| university of washington \| hec edmundson pavilion \| seattle \| washington row 16 : midwest \| 1 \| northern illinois university \| chick evans field house \| dekalb \| illinois row 17 : midwest \| 1 \| ohio state university \| st. john arena \| columbus \| ohio row 18 : midwest \| 1 \| university of southern mississippi \| reed green coliseum \| hattiesburg \| mississippi row 19 : midwest \| 1 \| oklahoma state university \| gallagher-iba arena \| stillwater \| oklahoma row 20 : midwest \| 2 \| louisiana tech university \| thomas assembly center \| ruston \| louisiana row 21 : midwest \| 2 \| north carolina state university \| reynolds colise \| raleigh \| north carolina row 22 : midwest \| 2 \| university of texas \| frank erwin center \| austin \| texas row 23 : midwest \| 2 \| purdue university \| mackey arena \| west lafayette \| indiana row 24 : west \| 1 \| long beach state \| university gym (gold mine) \| long beach \| california row 25 : west \| 1 \| university of mississippi \| tad smith colise \| university, mississippi \| mississippi row 26 : west \| 1 \| university of montana \| dahlberg arena \| missoula \| montana row 27 : west \| 1 \| university of arkansas \| barnhill arena \| fayetteville \| arkansas row 28 : west \| 2 \| university of georgia \| georgia coliseum ( \| athens \| georgia row 29 : west \| 2 \| stanford university \| maples pavilion \| stanford \| california ] Execute this SQL based on the above table: select city where region = 'east' and city = 'knoxville'	knoxville
[ header: no. in series \| no. in season \| title \| directed by \| written by \| original air date \| production code row 1 : 125 \| 1 \| "burnin' down the house" \| madeline cripe \| joel madison & \| september 18, 1995 \| 60101 row 2 : 126 \| 2 \| "get a job" \| shelley jensen \| mort scrivner \| september 25, 1995 \| 60102 row 3 : 127 \| 3 \| "stress related" \| shelley jensen \| larry wilmore \| october 2, 1995 \| 60103 row 4 : 128 \| 4 \| "bourgie sings the blues" \| shelley jensen \| tom devanney \| october 9, 1995 \| 60104 row 5 : 129 \| 5 \| "the script formerly known as..." \| shelley jensen \| felicia d. henderson \| october 16, 1995 \| 60105 row 6 : 130 \| 6 \| "not i barbecue" \| madeline cripe \| matt tarses & kand \| october 23, 1995 \| 60106 row 7 : 132 \| 8 \| "viva lost wages" \| shelley jensen \| robert bruce \| november 13, 1995 \| 60108 row 8 : 133 \| 9 \| "there's the rub" (part 1) \| shelley jensen \| joel madison \| november 20, 1995 \| 60109 row 9 : 134 \| 10 \| "there's the rub" (part 2) \| shelley jensen \| joel madison \| november 20, 1995 \| 60110 row 10 : 135 \| 11 \| "i, ooh, baby, \| alfonso ribeiro \| adam markowitz & tom \| december 11, 1995 \| 60111 row 11 : 136 \| 12 \| "boxing helena" \| shelley jensen \| michael soccio \| january 8, 1996 \| 60112 row 12 : 137 \| 13 \| "i, clownius" \| shelley jensen \| story: david wyatt \| january 15, 1996 \| 60115 row 13 : 138 \| 14 \| "breaking up is hard to do" (part \| shelley jensen \| lisa rosenthal \| february 12, 1996 \| 60113 row 14 : 139 \| 15 \| "breaking up is hard to do" (part \| shelley jensen \| lisa rosenthal \| february 19, 1996 \| 60114 row 15 : 140 \| 16 \| "i, bowl buster" \| shelley jensen \| michael soccio \| february 26, 1996 \| 60117 row 16 : 141 \| 17 \| "the butler's son did it" \| madeline cripe \| lisa rosenthal \| march 18, 1996 \| 60116 row 17 : 142 \| 18 \| "hare today..." \| shelley jensen \| robert bruce \| april 8, 1996 \| 60119 row 18 : 143 \| 19 \| "i, whoops, there it is" \| shelley jensen \| tanya ward & mary \| april 15, 1996 \| 60124 row 19 : 144 \| 20 \| "i, stank horse" \| shelley jensen \| tom devanney \| april 22, 1996 \| 60120 row 20 : 145 \| 21 \| "i, stank hole in one" \| werner walian \| matt tarses & michae \| may 6, 1996 \| 60121 row 21 : 146 \| 22 \| "eye, tooth" \| shelley jensen \| adam markowitz \| may 13, 1996 \| 60118 ] Execute this SQL based on the above table: select abs ( no. in series - production code ) where no. in series = 144	59976.0
[ header: date \| result \| opponent \| event \| location \| method \| round \| time row 1 : 2013-12-14 \| loss \| mohamed diaby \| victory, semi finals \| paris, france \| decision \| 3 \| 3:00 row 2 : 2013-03-09 \| None \| juanma chacon \| enfusion live: barcelona \| barcelona, spain \| None \| None \| None row 3 : 2012-05-27 \| loss \| murthel groenhart \| k-1 world max 2012 world championship tournament final \| madrid, spain \| ko (punches) \| 3 \| 3:00 row 4 : 2012-02-11 \| win \| francesco tadiello \| sporthal de zandbergen \| sint-job-in-'t- \| ko \| 1 \| None row 5 : 2012-01-28 \| win \| chris ngimbi \| it's showtime 2012 in leeu \| leeuwarden, netherlands \| tko (cut) \| 2 \| 1:22 row 6 : 2011-09-24 \| loss \| andy souwer \| bfn group & music hall presents \| brussels, belgium \| extra round decision (split) \| 4 \| 3:00 row 7 : 2011-04-09 \| win \| lahcen ait ouss \| le grande ko xi \| liege, belgium \| ko \| 1 \| None row 8 : 2011-02-12 \| win \| henri van opstal \| war of the ring \| amsterdam, netherlands \| decision (unanimous) \| 3 \| 3:00 row 9 : 2010-09-10 \| win \| edson fortes \| ring sensation gala \| utrecht, netherlands \| decision \| 3 \| 3:00 row 10 : 2010-03-21 \| loss \| mohamed khamal \| k-1 world max 2010 west europe tournament \| utrecht, netherlands \| ko (punch) \| 2 \| None row 11 : 2009-11-21 \| win \| seo doo won \| it's showtime 2009 barneveld \| barneveld, netherlands \| tko (referee stop \| 1 \| None row 12 : 2009-09-24 \| win \| chris ngimbi \| it's showtime 2009 lommel \| lommel, belgium \| extra round decision \| 4 \| 4:00 row 13 : 2009-04-11 \| win \| farid riffi \| almelo fight for delight \| almelo, netherlands \| tko \| None \| None row 14 : 2009-03-14 \| win \| viktor sarezki \| war of the ring \| belgium \| ko (punch to the body) \| 1 \| None row 15 : 2009-02-21 \| win \| pedro sedarous \| turnhout gala \| turnhout, belgium \| decision \| 5 \| 3:00 row 16 : 2009-01-31 \| win \| dahou naim \| tielrode gala \| tielrode, belgium \| 2nd extra round decision \| 5 \| 3:00 row 17 : 2008-09-20 \| win \| abdallah mabel \| s-cup europe 2008, reserve bout \| gorinchem, netherlands \| decision \| 3 \| 3:00 row 18 : 2008-09-14 \| win \| jordy sloof \| the outland rumble \| rotterdam, netherlands \| ko (right cross) \| 1 \| None row 19 : 2008-03-08 \| win \| naraim ruben \| lommel gala \| lommel, belgium \| tko (retirement) \| 3 \| None row 20 : 2008-02-23 \| win \| pierre petit \| st. job gala \| st. job, belgium \| ko (right punch) \| 2 \| None ] Execute this SQL based on the above table: select min ( location )	almelo, netherlands
[ header: rank \| mountain peak \| mountain range \| elevation \| prominence \| isolation \| location row 1 : 1 \| mount whitney \| sierra nevada \| 14,505 ft 4421 m \| 10,080 ft 3072 m \| 1,646 mi 2,649 km \| 36°34′43′′n 118° row 2 : 2 \| mount williamson \| sierra nevada \| 14,379 ft 4383 m \| 1,677 ft 511 m \| 5.4 mi 8.7 km \| 36°39′21′′n 118° row 3 : 4 \| north palisade \| sierra nevada \| 14,248 ft 4343 m \| 2,894 ft 882 m \| 32 mi 52 km \| 37°05′39′′n 118° row 4 : 5 \| mount shasta \| cascade range \| 14,179 ft 4322 m \| 9,832 ft 2997 m \| 335 mi 539 km \| 41°24′33′′n 122° row 5 : 6 \| mount humphreys \| sierra nevada \| 13,992 ft 4265 m \| 2,563 ft 781 m \| 15 mi 24 km \| 37°16′14′′n 118° row 6 : 7 \| mount keith \| sierra nevada \| 13,982 ft 4262 m \| 1,936 ft 590 m \| 3.1 mi 5.0 km \| 36°42′00′′n 118° row 7 : 10 \| mount morgan \| sierra nevada \| 13,758 ft 4193 m \| 2,648 ft 807 m \| 10 mi 16 km \| 37°24′19′′n 118° row 8 : 11 \| mount gabb \| sierra nevada \| 13,747 ft 4190 m \| 2,601 ft 793 m \| 4.3 mi 6.9 km \| 37°22′37′′n 118° row 9 : 12 \| mount tom \| sierra nevada \| 13,657 ft 4163 m \| 1,992 ft 607 m \| 4.8 mi 7.7 km \| 37°22′34′′n 119° row 10 : 13 \| mount dubois \| white mountains \| 13,565 ft 4135 m \| 2,339 ft 713 m \| 10 mi 16 km \| 37°47′00′′n 118° row 11 : 15 \| red slate mountain \| sierra nevada \| 13,162 ft 4012 m \| 1,736 ft 529 m \| 8 mi 13 km \| 37°30′27′′n 118° row 12 : 16 \| mount ritter \| sierra nevada \| 13,149 ft 4008 m \| 3,990 ft 1216 m \| 22 mi 35 km \| 37°41′21′′n 119° ] Execute this SQL based on the above table: select location order by id desc limit 1	37°41′21′′n 119°11′59′′w / 37.6891°n 119.1996°w
[ 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 location grown where location grown != 'chequamegon national forest' and species = ( select species where location grown = 'chequamegon national forest' )	ottawa national forest, green mountain national forest
[ header: district \| incumbent \| party \| first elected \| result \| candidates row 1 : pennsylvania 2 \| james m. beck \| republican \| 1927 \| resigned republican hold \| william h. wilson row 2 : pennsylvania 5 \| james j. connolly \| republican \| 1920 \| lost re-election democratic gain \| frank joseph gerard row 3 : pennsylvania 6 \| edward l. sto \| republican \| 1931 \| retired to run for governor democratic gain \| michael j. stack (d row 4 : pennsylvania 7 \| george p. darrow \| republican \| 1914 \| re-elected \| george p. darrow ( row 5 : pennsylvania 10 \| j. roland kinzer \| republican \| 1930 \| re-elected \| j. roland kinzer ( row 6 : pennsylvania 14 \| william emanuel rich \| democratic \| 1932 \| re-elected \| william emanuel rich row 7 : pennsylvania 17 \| j. william ditter \| republican \| 1932 \| re-elected \| j. william ditter ( row 8 : pennsylvania 20 \| thomas cunningham cochran \| republican \| 1926 \| retired democratic gain \| denis j. drisco row 9 : pennsylvania 22 \| harry l. haines \| democratic \| 1930 \| re-elected \| harry l. haines (d row 10 : pennsylvania 23 \| j. banks kurtz \| republican \| 1922 \| lost re-election democratic gain \| don gingery (d) 52.4% ] Execute this SQL based on the above table: select district order by first elected desc limit 1	pennsylvania 14
[ 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 count ( * ) where title is null	0
[ header: team \| truck(s) \| # \| driver(s) \| primary sponsor(s) \| listed owner(s) \| crew chief row 1 : addington racing \| chevrolet silverado \| 60 \| travis kvapil \| cat rental stores \| mike addington \| rick ren row 2 : bobby hamilton racing \| dodge ram \| 4 \| brian rose \| perry connection \| debbie hamilton \| danny rollins row 3 : bobby hamilton racing \| dodge ram \| 8 \| bill lester (r) \| dodge dealers \| bobby hamilton \| kip mccord row 4 : circle bar racing \| ford f-150 \| 14 \| rick crawford \| circle bar motel & rv park \| tom mitchell \| ray stonkus row 5 : countryman motorsports \| ford f-150 \| 15 \| rich bickle \| dickies \| billy ballew \| craig osbourne row 6 : green light racing \| chevrolet silverado \| 8 \| bobby dotter \| people against drugs \| gene christensen \| doug howe row 7 : joe gibbs racing \| chevrolet silverado \| 20 \| coy gibbs \| mbna \| joe gibbs \| doug hewitt row 8 : k automotive racing \| ford f-150 \| 29 \| terry cook \| power stroke diesel \| kay keselowski \| bob keselowski row 9 : l&r racing \| chevrolet silverado \| 90 \| lance norick \| express personnel services \| ron norick \| gary showalter row 10 : morgan-dollar motorsports \| chevrolet silverado \| 46 \| dennis setzer \| acxiom/computer associate \| david dollar \| john monsam row 11 : portenga motorsports \| chevrolet silverado \| 39 \| steve portenga \| roto-rooter \| steve portenga \| george church row 12 : powers motorsports \| dodge ram \| 55 \| tom powers \| university of northwestern ohio \| sherri powers \| bryan berry row 13 : sealmaster racing \| chevrolet silverado \| 88 \| matt crafton \| sealmaster \| duke thorson \| jerry cook row 14 : spears motorsports \| chevrolet silverado \| 75 \| david starr \| spears manufacturing \| wayne spears \| dave mccarty row 15 : tagsby racing \| chevrolet silverado \| 73 \| loni richardson (r) \| intensitee/uti \| joey sonntag \| joey sonntag row 16 : team racing \| chevrolet silverado \| 86 \| dana white (r) \| red line oil/coverall carports \| phil bonifield \| bernie taft row 17 : troxell racing \| chevrolet silverado \| 93 \| jerry allec, jr \| None \| lonnie troxell \| lonnie troxell row 18 : ultra motorsports \| dodge ram \| 1 \| ted musgrave \| mopar \| jim smith \| gene nead row 19 : ultra motorsports \| dodge ram \| 2 \| jason leffler \| team ase racing \| marlene smith \| tim kohuth row 20 : ware racing enterprises \| dodge ram \| 5 \| lance hooper \| diamond cut jeans/blair5.com \| rick ware \| cal northrop row 21 : ware racing enterprises \| dodge ram \| 51 \| michael dokken \| ooida \| rick ware \| ken glen ] Execute this SQL based on the above table: select ( select # where listed owner(s) = 'bobby hamilton' ) > ( select # where listed owner(s) = 'billy ballew' )	1
[ header: category \| speed (km/h) \| speed (mph) \| vehicle \| pilot \| date row 1 : rocket-powered aircraft \| 7258 \| 4510 \| north american x-15 \| william j. knight \| 3 oct 1967 row 2 : manned air-breathing craft \| 3530 \| 2194 \| lockheed sr-71 blackbird \| eldon w. joersz \| 28 jul 1976 row 3 : propeller-driven aircraft \| 870 \| 541 \| tupolev tu-114 \| ivan soukhomline \| 1960 row 4 : piston-engined propeller-driven aircraft \| 850.1 \| 528.33 \| grumman f8f bearcat rare \| lyle shelton \| 21 aug 1989 row 5 : helicopter \| 401 \| 249.1 \| westland lynx 800 g \| john egginton \| 11 aug 1986 row 6 : glider (sailplane) \| 306.8 \| 190.6 \| schempp-hirth nim \| klaus ohlmann and \| 22 dec 2006 row 7 : human-powered aircraft \| 32 \| 19.8 \| mit monarch b \| frank scarabino \| 1 may 1984 ] Execute this SQL based on the above table: select vehicle where vehicle != 'north american x-15' and date = '11 aug 1986'	westland lynx 800 g-lynx
[ header: pick \| player \| team \| position \| school row 1 : 1 \| ben mcdonald \| baltimore orioles \| rhp \| louisiana state university row 2 : 2 \| tyler houston \| atlanta braves \| c \| valley hs (las vegas row 3 : 3 \| roger salkeld \| seattle mariners \| rhp \| saugus (ca) hs row 4 : 4 \| jeff jackson \| philadelphia phillies \| of \| simeon hs (chicago row 5 : 5 \| donald harris \| texas rangers \| of \| texas tech university row 6 : 6 \| paul coleman \| saint louis cardinals \| of \| frankston (tx) h row 7 : 7 \| frank thomas \| chicago white sox \| 1b \| auburn university row 8 : 8 \| earl cunningham \| chicago cubs \| of \| lancaster (sc) hs row 9 : 9 \| kyle abbott \| california angels \| lhp \| long beach state university row 10 : 10 \| charles johnson \| montreal expos \| c \| westwood hs (fort pier row 11 : 11 \| calvin murray \| cleveland indians \| 3b \| w.t. white high school (d row 12 : 12 \| jeff juden \| houston astros \| rhp \| salem (ma) hs row 13 : 13 \| brent mayne \| kansas city royals \| c \| cal state fullerton row 14 : 14 \| steve hosey \| san francisco giants \| of \| fresno state university row 15 : 15 \| kiki jones \| los angeles dodgers \| rhp \| hillsborough hs (tampa, row 16 : 16 \| greg blosser \| boston red sox \| of \| sarasota (fl row 17 : 17 \| cal eldred \| milwaukee brewers \| rhp \| university of iowa row 18 : 18 \| willie greene \| pittsburgh pirates \| ss \| jones county hs (gray row 19 : 19 \| eddie zosky \| toronto blue jays \| ss \| fresno state university row 20 : 20 \| scott bryant \| cincinnati reds \| of \| university of texas row 21 : 21 \| greg gohr \| detroit tigers \| rhp \| santa clara university row 22 : 22 \| tom goodwin \| los angeles dodgers \| of \| fresno state university row 23 : 23 \| mo vaughn \| boston red sox \| 1b \| seton hall university row 24 : 24 \| alan zinter \| new york mets \| c \| university of arizona row 25 : 25 \| chuck knoblauch \| minnesota twins \| 2b \| texas a&m university row 26 : 26 \| scott burrell \| seattle mariners \| rhp \| hamden (ct) hs ] Execute this SQL based on the above table: select count ( * ) where team = 'toronto blue jays'	1
[ header: year \| award \| group \| result \| notes row 1 : 2004 \| black reel awards \| best actor: drama \| nominated \| the human stain (film) row 2 : 2004 \| black reel awards \| best breakthrough performance \| nominated \| the human stain (film) row 3 : 2006 \| academy of science fiction, fantasy & horror films \| best actor on television \| nominated \| prison break row 4 : 2006 \| teen choice awards \| tv - choice actor \| nominated \| prison break row 5 : 2006 \| teen choice awards \| tv - choice breakout star \| nominated \| prison break row 6 : 2006 \| golden globes awards \| best performance by an actor in a television series \| nominated \| prison break row 7 : 2007 \| teen choice awards \| choice tv actor: drama \| nominated \| prison break row 8 : 2008 \| teen choice awards \| choice tv actor: action adventure \| nominated \| prison break row 9 : 2014 \| fangoria chainsaw awards \| best screenplay \| pending \| stoker (film) ] Execute this SQL based on the above table: select year where award = 'teen choice awards' and result = 'nominated'	2006, 2006, 2007, 2008
[ header: # \| event year \| season \| flag bearer row 1 : 10 \| 2012 \| summer \| nino salukvadze row 2 : 9 \| 2010 \| winter \| iason abramashvili row 3 : 8 \| 2008 \| summer \| ramaz nozadze row 4 : 7 \| 2006 \| winter \| vakhtang murvanidze row 5 : 6 \| 2004 \| summer \| zurab zviadauri row 6 : 5 \| 2002 \| winter \| sofia akhmeteli row 7 : 4 \| 2000 \| summer \| giorgi asanidze row 8 : 3 \| 1998 \| winter \| sofia akhmeteli row 9 : 2 \| 1996 \| summer \| giorgi k'andel row 10 : 1 \| 1994 \| winter \| zurab dzhidzhishvil ] Execute this SQL based on the above table: select abs ( ( select # where flag bearer = 'sofia akhmeteli' ) - ( select # where flag bearer = 'zurab dzhidzhishvili' ) )	4.0
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 7 \| jo bonnier \| brm \| 75 \| 2:05:26.8 \| 1 \| 8 row 2 : 2 \| 8 \| jack brabham \| cooper-climax \| 75 \| + 14.2 \| 2 \| 6 row 3 : 3 \| 9 \| masten gregory \| cooper-climax \| 75 \| + 1:23.0 \| 7 \| 4 row 4 : 4 \| 12 \| innes ireland \| lotus-climax \| 74 \| + 1 lap \| 9 \| 3 row 5 : 5 \| 1 \| jean behra \| ferrari \| 74 \| + 1 lap \| 4 \| 2 row 6 : 6 \| 3 \| phil hill \| ferrari \| 73 \| + 2 laps \| 12 \| None row 7 : 7 \| 14 \| graham hill \| lotus-climax \| 73 \| + 2 laps \| 5 \| None row 8 : 8 \| 10 \| maurice trintignant \| cooper-climax \| 73 \| + 2 laps \| 11 \| None row 9 : 9 \| 16 \| cliff allison \| ferrari \| 71 \| + 4 laps \| 15 \| None row 10 : 10 \| 15 \| carel godin de beaufort \| porsche \| 68 \| + 7 laps \| 14 \| None row 11 : ret \| 11 \| stirling moss \| cooper-climax \| 62 \| gearbox \| 3 \| 1 row 12 : ret \| 6 \| harry schell \| brm \| 46 \| gearbox \| 6 \| None row 13 : ret \| 2 \| tony brooks \| ferrari \| 42 \| oil leak \| 8 \| None row 14 : ret \| 5 \| carroll shelby \| aston martin \| 25 \| engine \| 10 \| None row 15 : ret \| 4 \| roy salvadori \| aston martin \| 3 \| engine \| 13 \| None ] Execute this SQL based on the above table: select count ( constructor ) where driver = 'carroll shelby'	1
[ header: year \| japanese title \| english title \| role \| network row 1 : 1997 \| あくり \| agri \| None \| nhk row 2 : 1998 \| ラフアントヒース \| love & peace \| yohei horiguchi \| ntv row 3 : 2001 \| ネハーラント \| neverland \| osamu seto \| tbs row 4 : 2002 \| hito ni yasashi \| be nice to people \| yusuke \| fuji tv row 5 : 2002 \| engimono (演技者) \| acting by \| hachida \| fuji tv row 6 : 2004 \| kino wa tomo kyo \| None \| None \| None row 7 : 2005 \| dekabeya (六本木おかしな捜査班) \| funny roppongi squad \| yukio ochi \| tv asahi row 8 : 2005 \| asuka e, soshite \| to asuka and to the unseen \| sawamura kazuya \| fuji tv row 9 : 2005 \| nemureru mori no s \| sleeping corpse \| eiji/yamazaki \| fuji tv row 10 : 2006 \| アキハハラ@deep \| akihabara@deep \| box \| tbs row 11 : 2007 \| hana yori dango returns \| boys over flowers 2 \| junpei oribe \| tbs row 12 : 2007 \| hanazakari no kimitachi \| ikemen paradise \| shuichi nakatsu \| fuji tv row 13 : 2008 \| hachimitsu to clover (ハチミツとクローハー) \| honey & clover \| yuta takemoto \| fuji tv row 14 : 2008 \| hanazakari no kimitachi \| ikemen paradise \| shuichi nakatsu \| fuji tv row 15 : 2008 \| mao \| devil \| naoto serizawa \| tbs row 16 : 2009 \| inochi naki mono no k \| voice \| ryosuke ishimatsu \| fuji tv row 17 : 2009 \| majo saiban (魔女裁判) \| the witch trial \| toru yoshioka \| fuji tv row 18 : 2009 \| yonimo \"kim\ \| the law of recycling suicides \| r 8427 \| None row 19 : 2010 \| unobore deka (うぬほれ刑事) \| conceited detective \| sadame honjo \| tbs row 20 : 2010 \| kyuukei no kou \| spherical wilderness \| shoichi soeda \| fuji tv row 21 : 2012 \| osozaki no himawari \| late blooming sunflower -my life renewed- \| jotaro kodaira \| fuji tv row 22 : 2014 \| gunshi kanbei \| None \| dom justo takayama \| nhk ] Execute this SQL based on the above table: select japanese title where year < ( select max ( year ) ) order by year desc limit 1	osozaki no himawari ~boku no jinsei, renewal~
[ header: year \| date \| title \| format(s) \| award description(s) \| result(s) row 1 : 1987 \| july 28 \| whitney \| album \| gold \| won row 2 : 1987 \| july 28 \| whitney \| album \| platinum \| won row 3 : 1987 \| july 28 \| whitney \| album \| 2× multi-platinum \| won row 4 : 1987 \| july 28 \| "i wanna dance with somebody (who loves \| single \| gold \| won row 5 : 1987 \| august 4 \| whitney \| album \| 3× multi-platinum \| won row 6 : 1987 \| september 30 \| whitney \| album \| 4× multi-platinum \| won row 7 : 1987 \| november 20 \| whitney \| album \| 5× multi-platinum \| won row 8 : 1988 \| april 18 \| whitney \| album \| 6× multi-platinum \| won row 9 : 1989 \| february 13 \| "i wanna dance with somebody (who loves \| single \| platinum \| won row 10 : 1993 \| june 23 \| whitney \| album \| 7× multi-platinum \| won row 11 : 1994 \| november 29 \| whitney \| album \| 8× multi-platinum \| won row 12 : 1995 \| november 29 \| whitney \| album \| 9× multi-platinum \| won row 13 : 1995 \| december 6 \| "so emotional" \| single \| gold \| won ] Execute this SQL based on the above table: select year where title = 'whitney'	1987, 1987, 1987, 1987, 1987, 1987, 1988, 1993, 1994, 1995
[ header: township \| fips \| population center \| population \| population density (/mi2) \| population density (/km2) \| land area (mi2) \| land area (km2) \| water area (mi2) \| water area (km2) \| geographic coordinates row 1 : center \| 90735 \| None \| 515 \| 36.8 \| 14.2 \| 13.99 \| 36.23 \| 0.0339 \| 0.0878 \| 35°24′20′′n 92° row 2 : clark \| 90813 \| london \| 2969 \| 115.3 \| 44.6 \| 25.73 \| 66.64 \| 6.0444 \| 15.6549 \| 35°19′45′′n 93° row 3 : convenience \| 90921 \| None \| 933 \| 50.4 \| 19.4 \| 18.53 \| 47.99 \| 0.0942 \| 0.244 \| 35°20′00′′n 92° row 4 : dover \| 91134 \| dover \| 5277 \| 119.1 \| 46 \| 44.29 \| 114.7 \| 0.3637 \| 0.942 \| 35°23′30′′n 93° row 5 : freeman \| 91377 \| None \| 98 \| 0.8 \| 0.3 \| 119.78 \| 310.2 \| 0 \| 0 \| 35°39′10′′n 93° row 6 : galla \| 91407 \| pottsville \| 3523 \| 88.7 \| 34.3 \| 39.71 \| 102.8 \| 1.841 \| 4.7682 \| 35°13′15′′n 93° row 7 : griffin \| 91536 \| None \| 901 \| 26.5 \| 10.2 \| 33.96 \| 87.96 \| 0.1106 \| 0.2865 \| 35°25′30′′n 92° row 8 : illinois \| 91812 \| russellville \| 25841 \| 540.9 \| 208.9 \| 47.77 \| 123.7 \| 6.6022 \| 17.0996 \| 35°17′00′′n 93° row 9 : liberty \| 92181 \| None \| 805 \| 14.2 \| 5.5 \| 56.64 \| 146.7 \| 0.0028 \| 0.0073 \| 35°29′40′′n 93° row 10 : martin \| 92415 \| None \| 1482 \| 23.7 \| 9.2 \| 62.46 \| 161.8 \| 0.3931 \| 1.0181 \| 35°28′25′′n 93° row 11 : phoenix \| 92871 \| None \| 334 \| 26.7 \| 10.3 \| 12.51 \| 32.4 \| 0 \| 0 \| 35°24′30′′n 93° row 12 : smyrna \| 93420 \| None \| 173 \| 2.4 \| 0.9 \| 70.69 \| 183.1 \| 0.0218 \| 0.0565 \| 35°38′10′′n 92° row 13 : valley \| 93765 \| None \| 2776 \| 125.7 \| 48.5 \| 22.09 \| 57.21 \| 0.0144 \| 0.0373 \| 35°20′05′′n 93° ] Execute this SQL based on the above table: select count ( township )	13
[ header: round \| opponent \| result \| bro. \| opp. \| date \| venue \| crowd \| position row 1 : 1 \| auckland warriors \| win \| 14 \| 2 \| 1 mar \| anz stadium \| 42361 \| 2/10 row 2 : 2 \| adelaide rams \| win \| 28 \| 12 \| 9 mar \| anz stadium \| 16279 \| 1/10 row 3 : 3 \| perth reds \| win \| 26 \| 16 \| 16 mar \| waca ground \| 11109 \| 2/10 row 4 : 4 \| canberra raiders \| win \| 24 \| 8 \| 24 mar \| anz stadium \| 26103 \| 2/10 row 5 : 5 \| cronulla sharks \| win \| 14 \| 12 \| 31 mar \| anz stadium \| 17294 \| 1/10 row 6 : 6 \| north queensland cowboys \| win \| 42 \| 16 \| 5 apr \| stockland stadium \| 30122 \| 1/10 row 7 : 7 \| adelaide rams \| win \| 20 \| 10 \| 13 apr \| adelaide oval \| 17633 \| 1/10 row 8 : 8 \| penrith panthers \| loss \| 26 \| 27 \| 21 apr \| penrith football stadium \| 12648 \| 1/10 row 9 : 9 \| canterbury bulldogs \| win \| 34 \| 16 \| 28 apr \| anz stadium \| 17921 \| 1/10 row 10 : 10 \| auckland warriors \| win \| 34 \| 18 \| 4 may \| mt smart stadium \| 16471 \| 1/10 row 11 : 11 \| north queensland cowboys \| draw \| 20 \| 20 \| 25 may \| anz stadium \| 14167 \| 1/10 row 12 : 12 \| hunter mariners \| loss \| 6 \| 24 \| 30 may \| topper stadium \| 7124 \| 1/10 row 13 : 13 \| cronulla sharks \| loss \| 4 \| 32 \| 30 jun \| endeavour field \| 12240 \| 1/10 row 14 : 14 \| perth reds \| win \| 50 \| 14 \| 6 jul \| anz stadium \| 11806 \| 1/10 row 15 : 15 \| canberra raiders \| win \| 19 \| 4 \| 14 jul \| bruce stadium \| 13067 \| 1/10 row 16 : 16 \| penrith panthers \| win \| 54 \| 12 \| 10 aug \| anz stadium \| 13921 \| 1/10 row 17 : 17 \| hunter mariners \| win \| 34 \| 16 \| 18 aug \| anz stadium \| 13830 \| 1/10 row 18 : 18 \| canterbury bulldogs \| win \| 32 \| 24 \| 25 aug \| belmore oval \| 9781 \| 1/10 row 19 : semi final \| cronulla sharks \| win \| 34 \| 2 \| 6 sep \| stockland stadium \| 26256 \| None row 20 : grand final \| cronulla sharks \| win \| 26 \| 8 \| 20 sep \| anz stadium \| 58912 \| None ] Execute this SQL based on the above table: select round where bro. = 54	16
[ header: no. \| title \| directed by \| written by \| original air date row 1 : 1 \| "reunion" \| bryan spicer \| patrick massett & john \| january 27, 2003 row 2 : 2 \| "antarctica" \| perry lang \| patrick massett & john \| february 3, 2003 row 3 : 3 \| "skulls" \| adam nimoy \| patrick massett & john \| february 10, 2003 row 4 : 4 \| "heist" \| rick kolbe \| rick kellard \| march 10, 2003 row 5 : 5 \| "the wheel of dharma" \| r. w. goodwin \| stephanie bloch-chambers \| None row 6 : 6 \| "sangraal" \| perry lang \| gabrielle stanton & harry \| None row 7 : 7 \| "mummy virus" \| vern gillum \| rick kellard & thani \| None row 8 : 8 \| "name of god" \| michael nankin \| brad falchuk \| None row 9 : 9 \| "devil's child" \| tom wright \| thania st. john \| None row 10 : 10 \| "avalon" \| dwight little \| i. c. rapoport \| None row 11 : 11 \| "the lost codex" \| tom wright \| gabrielle stanton & harry \| None row 12 : 12 \| "eternal" \| fred gerber \| thania st. john \| None row 13 : 13 \| "helmholtz resonance" \| larry shaw \| patrick massett & john \| None ] Execute this SQL based on the above table: select count ( title ) where title = '"mummy virus"'	1
[ 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 sum ( year )	15805
[ 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 max ( year ) where league = 'usl pdl'	2013
[ header: series \| year \| rank \| average audience share row 1 : 1 \| 1992 \| None \| 14.50m row 2 : 2 \| 1993 \| None \| None row 3 : 3 \| 1993 \| None \| None row 4 : 4 \| 1994 \| None \| None row 5 : 5 \| 1995 \| None \| None row 6 : 6 \| 1996 \| None \| 14.60m row 7 : 7 \| 1997-1998 \| None \| 15.82m row 8 : 8 \| 1998-1999 \| 5th \| 14.35m row 9 : 9 \| 1999-2000 \| 6th \| 13.71m row 10 : 10 \| 2000-2001 \| 5th \| 13.21m row 11 : 11 \| 2001-2002 \| 6th \| 10.77m row 12 : 12 \| 2002-2003 \| 7th \| 11.29m row 13 : 13 \| 2003-2004 \| 8th \| 13.11m row 14 : 14 \| 2004-2005 \| 10th \| 8.77m row 15 : 15 \| 2005-2006 \| 10th \| 8.42m row 16 : 16 \| 2006-2007 \| 8th \| 7.80m row 17 : 17 \| 2007-2008 \| 11th \| 6.90m row 18 : 18 \| 2008-2010 \| 15th \| 5.44m (incl. itv ] Execute this SQL based on the above table: select rank where id = ( select id where rank = '7th' ) - 1	6th
[ header: season \| premiere date \| the winner \| runner-up \| finalists \| contestants in order of elimination \| number of contestants \| number of concerts row 1 : af1 \| june 21, 2004 \| vit (v2) \| jeen (v1) \| aof (v6), z- \| joomjim (v5), por \| 12 \| 9 row 2 : af2 \| july 18, 2005 \| aof (v4) \| pat (v6) \| boy (v8), pas (v9), \| joe (v12), loog \| 12 \| 12 row 3 : af4 \| june 18, 2007 \| nat (v1) \| tol (v9) \| papang (v3), music (v8) \| cat (v11), tee ( \| 12 (20) \| 13 row 4 : af5 \| may 12, 2008 \| natthew (v13) \| ron (v12) \| pump (v8), good (v10), \| green (v16), micky (v6) \| 12 (16) \| 12 row 5 : af6 \| june 28, 2009 \| zani (v6) \| ann (v10) \| tee (v5), & \| koonjae-sal ( \| 12 \| 12 row 6 : af7 \| june 27, 2010 \| por (v12) \| ton (v13) \| boss (v10), new (v4), \| pum (v7), ben (v \| 12 (100) \| 12 row 7 : af9 \| june 3, 2012 \| ice (v8) \| zo (v1) \| bright(v5), nest(v7) \| k (v6), sunny (v11 \| 12 (24) \| 15 row 8 : af10 \| june 23, 2013 \| tungbeer (v20) \| tayme (v6) \| tuey (v21), beam \| tung (v13), taeng \| 24 \| 12 ] Execute this SQL based on the above table: select ( select number of concerts where the winner = 'zani (v6)' ) >= 13	0
[ header: pos \| rider \| manufacturer \| laps \| time/retired \| grid \| points row 1 : 1 \| manuel poggiali \| gilera \| 25 \| 41:18.211 \| 1 \| 25 row 2 : 2 \| dani pedrosa \| honda \| 25 \| 0.019 \| 4 \| 20 row 3 : 3 \| steve jenkner \| aprilia \| 25 \| 9.888 \| 3 \| 16 row 4 : 4 \| lucio cecchinello \| aprilia \| 25 \| 15.397 \| 5 \| 13 row 5 : 5 \| simone sanna \| aprilia \| 25 \| 15.452 \| 8 \| 11 row 6 : 6 \| joan olive \| honda \| 25 \| 15.486 \| 20 \| 10 row 7 : 7 \| stefano bianco \| aprilia \| 25 \| 15.549 \| 11 \| 9 row 8 : 8 \| pablo nieto \| aprilia \| 25 \| 16.218 \| 2 \| 8 row 9 : 9 \| mika kallio \| honda \| 25 \| 22.762 \| 10 \| 7 row 10 : 10 \| mirko giansanti \| honda \| 25 \| 22.839 \| 16 \| 6 row 11 : 11 \| arnaud vincent \| aprilia \| 25 \| 23.067 \| 23 \| 5 row 12 : 12 \| andrea ballerini \| honda \| 25 \| 23.134 \| 18 \| 4 row 13 : 13 \| stefano perugini \| italjet \| 25 \| 43.345 \| 17 \| 3 row 14 : 14 \| jorge lorenzo \| derbi \| 25 \| 43.973 \| 7 \| 2 row 15 : 15 \| masao azuma \| honda \| 25 \| 47.189 \| 13 \| 1 row 16 : 16 \| jakub smrz \| honda \| 25 \| 47.333 \| 24 \| None row 17 : 17 \| gianluigi scalvini \| aprilia \| 25 \| 52 \| 22 \| None row 18 : 18 \| hector barbera \| aprilia \| 25 \| +1:11.358 \| 27 \| None row 19 : 19 \| mattia angeloni \| gilera \| 25 \| +1:11.488 \| 29 \| None row 20 : 20 \| alex baldolini \| aprilia \| 25 \| +1:21.603 \| 32 \| None row 21 : 21 \| jaroslav hules \| aprilia \| 25 \| +1:21.681 \| 15 \| None row 22 : 22 \| julian simon \| honda \| 25 \| +1:31.723 \| 26 \| None row 23 : 23 \| imre toth \| honda \| 25 \| +1:31.794 \| 31 \| None row 24 : 24 \| leon camier \| italjet \| 24 \| +1 lap \| 33 \| None row 25 : ret \| chaz davies \| aprilia \| 18 \| retirement \| 21 \| None row 26 : ret \| michel fabrizio \| gilera \| 14 \| accident \| 19 \| None row 27 : ret \| youichi ui \| derbi \| 13 \| accident \| 6 \| None row 28 : ret \| alex de angelis \| aprilia \| 13 \| accident \| 12 \| None row 29 : ret \| angel rodriguez \| aprilia \| 4 \| retirement \| 25 \| None row 30 : ret \| gino borsoi \| aprilia \| 0 \| accident \| 9 \| None row 31 : ret \| andrea dovizioso \| honda \| 0 \| accident \| 14 \| None row 32 : ret \| alessandro brannetti \| honda \| 0 \| accident \| 30 \| None row 33 : ret \| alvaro bautista \| aprilia \| 0 \| accident \| 28 \| None row 34 : dnq \| javier machado \| honda \| None \| None \| None \| None ] Execute this SQL based on the above table: select sum ( grid ) where id in ( select id order by grid desc limit 1308 )	561.0
[ header: song \| artist(s) \| concert \| film \| 1978 album \| 2002 album row 1 : "up on cripple creek" \| the band \| 1 \| 3 \| 2 \| 2 row 2 : "it makes no difference" \| the band \| 3 \| 6 \| 8 \| 4 row 3 : "this wheel's on fire" \| the band \| 5 \| None \| None \| 10 row 4 : "w.s. walcott medicine show \| the band \| 6 \| None \| None \| 26 row 5 : "georgia on my mind" \| the band \| 7 \| None \| None \| None row 6 : "ophelia" \| the band \| 8 \| 20 \| 16 \| 18 row 7 : "king harvest (has surely come)" \| the band \| 9 \| None \| None \| None row 8 : "rag mama rag" \| the band \| 12 \| None \| None \| 15 row 9 : "such a night" \| dr. john \| 14 \| 8 \| 9 \| 7 row 10 : "down south in new orleans" \| bobby charles and dr \| 15 \| None \| 15 \| 9 row 11 : "mystery train" \| paul butterfield \| 16 \| 15 \| 11 \| 11 row 12 : "caldonia" \| muddy waters \| 17 \| None \| None \| 12 row 13 : "all our past times" \| eric clapton \| 19 \| None \| None \| 16 row 14 : "further on up the road" \| eric clapton \| 20 \| 17 \| 13 \| 17 row 15 : "four strong winds" \| neil young \| 22 \| None \| None \| 20 row 16 : "shadows and light" \| joni mitchell \| 24 \| None \| None \| 22 row 17 : "furry sings the blues" \| joni mitchell \| 25 \| None \| None \| 23 row 18 : "dry your eyes" \| neil diamond \| 26 \| 13 \| 7 \| 25 row 19 : "tura lura lural (that \| van morrison \| 27 \| None \| 17 \| 27 row 20 : "caravan" \| van morrison \| 28 \| 21 \| 18 \| 28 row 21 : "genetic method"/"chest fever \| the band \| 30 \| 19 \| None \| 30 row 22 : "the last waltz suite: \| the band \| 31 \| None \| None \| None row 23 : "baby, let me follow you down" \| bob dylan \| 33 \| None \| 20 \| 31 row 24 : "hazel" \| bob dylan \| 34 \| None \| None \| 32 row 25 : "i don't believe you" \| bob dylan \| 35 \| None \| 21 \| 33 row 26 : "forever young" \| bob dylan \| 36 \| 23 \| 22 \| 34 row 27 : "jam #2" \| neil young, ronnie \| 40 \| None \| None \| 38 row 28 : "don't do it" \| the band \| 41 \| 1 \| None \| 39 row 29 : "greensleeves" \| the band \| 42 \| None \| None \| 40 row 30 : introduction to the canterbury tales in \| michael mcclure \| None \| 7 \| None \| None row 31 : "the weight" (studio version) \| the band and the staple singers \| None \| 11 \| 29 \| 44 row 32 : "evangeline" (studio version) \| the band and emmylou \| None \| 18 \| 27 \| None row 33 : "loud prayer" \| lawrence ferlinghetti \| None \| 22 \| None \| None ] Execute this SQL based on the above table: select artist(s) where artist(s) in ( 'the band' , 'van morrison' ) order by film asc limit 1	the band
[ header: rnd. \| pick # \| nfl team \| player \| pos. \| college \| conf. \| notes row 1 : 1 \| 1 \| oakland raiders \| jamarcus russell \| qb \| lsu \| sec \| None row 2 : 1 \| 6 \| washington redskins \| laron landry \| s \| lsu \| sec \| None row 3 : 1 \| 22 \| cleveland browns \| brady quinn \| qb \| notre dame \| ind \| from dallas row 4 : 2 \| 35 \| tampa bay buccaneers \| arron sears \| g \| tennessee \| sec \| None row 5 : 2 \| 52 \| st. louis rams \| brian leonard \| fb \| rutgers \| big east \| None row 6 : 3 \| 71 \| miami dolphins \| lorenzo booker \| rb \| florida state \| acc \| None row 7 : 3 \| 77 \| pittsburgh steelers \| matt spaeth \| te \| minnesota \| big ten \| None row 8 : 3 \| 78 \| green bay packers \| james jones \| wr \| san jose state \| wac \| None row 9 : 3 \| 79 \| jacksonville jaguars \| mike sims-walker \| wr \| central florida \| c-usa \| None row 10 : 3 \| 85 \| seattle seahawks \| brandon mebane \| dt \| california \| pac-10 \| None row 11 : 4 \| 127 \| new england patriots \| kareem brown \| dt \| miami (fl) \| acc \| None row 12 : 5 \| 161 \| seattle seahawks \| will herring \| lb \| auburn \| sec \| None row 13 : 5 \| 164 \| carolina panthers \| tim shaw \| lb \| penn state \| big ten \| from new york jets row 14 : 6 \| 177 \| new york jets \| jacob bender \| ot \| nicholls state \| southland \| from tampa bay row 15 : 6 \| 178 \| dallas cowboys \| nick folk \| k \| arizona \| pac-10 \| from cleveland row 16 : 6 \| 204 \| tennessee titans \| jacob ford \| de \| central arkansas \| ind \| from san diego row 17 : 7 \| 214 \| tampa bay buccaneers \| chris denman \| ot \| fresno state \| wac \| None row 18 : 7 \| 217 \| minnesota vikings \| tyler thigpen \| qb \| coastal carolina \| big south \| None row 19 : 7 \| 222 \| buffalo bills \| derek schouman \| te \| boise state \| wac \| None row 20 : 7 \| 230 \| cincinnati bengals \| dan santucci \| g \| notre dame \| ind \| None row 21 : 7 \| 248 \| st. louis rams \| keith jackson, jr \| dt \| arkansas \| sec \| None ] Execute this SQL based on the above table: select count ( notes ) where pick # > 1139	0
[ 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 illustrator where year < ( select year where illustrator = 'mcnaughton' ) order by year desc limit 1	blake
[ header: affiliation \| house members 2000 election results \| house members at dissolution \| senate members on election day 2000 \| senate members at dissolution row 1 : liberal party of canada \| 172 \| 168 \| 55 \| 65 row 2 : canadian alliance \| 66 \| None \| 1 \| None row 3 : bloc quebecois \| 38 \| 33 \| 0 \| 0 row 4 : new democratic party \| 13 \| 14 \| 0 \| 0 row 5 : progressive conservative \| 12 \| None \| 35 \| None row 6 : progressive conservative (senate caucus \| None \| None \| None \| 3 row 7 : conservative party of canada \| None \| 72 \| None \| 24 row 8 : independent \| 0 \| 10 \| 5 \| 5 row 9 : total members \| 301 \| 297 \| 96 \| 97 row 10 : vacant \| 0 \| 4 \| 9 \| 8 row 11 : total seats \| 301 \| 301 \| 105 \| 105 ] Execute this SQL based on the above table: select affiliation order by house members 2000 election results asc limit 1	progressive conservative (senate caucus)
[ header: year \| song \| u.s. \| u.s. r&b \| u.s. ac \| uk \| album row 1 : 1986 \| "strollin' on" \| None \| None \| None \| 32 \| intentions row 2 : 1986 \| "in the springtime" \| None \| None \| None \| 54 \| you're safe row 3 : 1986 \| "crazy love" \| None \| None \| None \| 67 \| intentions row 4 : 1987 \| "let me know" \| None \| None \| None \| 49 \| intentions row 5 : 1987 \| "woman in you" \| None \| None \| None \| None \| intentions row 6 : 1987 \| "some guys have all the luck" \| None \| None \| None \| 12 \| None row 7 : 1989 \| "wild world" \| 25 \| None \| None \| 5 \| maxi priest row 8 : 1990 \| "human work of art" \| None \| None \| None \| 71 \| bonafide row 9 : 1990 \| "close to you" \| 1 \| 2 \| 15 \| 7 \| bonafide row 10 : 1990 \| "just a little bit longer" \| 62 \| 30 \| None \| 62 \| bonafide row 11 : 1991 \| "space in my heart" \| None \| 76 \| None \| None \| bonafide row 12 : 1991 \| "set the night to music" (with \| 6 \| 45 \| 2 \| None \| set the night to music (roberta row 13 : 1992 \| "groovin' in the midnight" \| 63 \| 29 \| None \| 50 \| fe real row 14 : 1993 \| "one more chance" \| None \| 77 \| None \| 40 \| fe real row 15 : 1996 \| "that girl" (with shaggy) \| 20 \| 34 \| None \| 15 \| man with the fun row 16 : 1996 \| "watching the world go by" \| None \| None \| None \| 36 \| man with the fun row 17 : 2009 \| "2 play feat maxi priest - that \| None \| None \| None \| None \| None ] Execute this SQL based on the above table: select album group by album order by count ( * ) desc limit 1	intentions
[ header: week \| date \| opponent \| result \| attendance \| bye row 1 : 1 \| september 1, 1991 \| minnesota vikings \| w 10-6 \| 64112 \| 0 row 2 : 2 \| september 8, 1991 \| at tampa bay buccaneers \| w 21-20 \| 65625 \| 0 row 3 : 3 \| september 15, 1991 \| new york giants \| w 20-17 \| 64829 \| 0 row 4 : 4 \| september 23, 1991 \| new york jets \| w 19-13 \| 65255 \| 0 row 5 : 5 \| september 29, 1991 \| at buffalo bills \| l 35-20 \| 80366 \| 0 row 6 : 6 \| october 6, 1991 \| washington redskins \| l 20-7 \| 64941 \| 0 row 7 : 7 \| None \| None \| None \| None \| 1 row 8 : 8 \| october 17, 1991 \| at green bay packers \| w 10-0 \| 58435 \| 0 row 9 : 9 \| october 27, 1991 \| at new orleans saints \| w 20-17 \| 68591 \| 0 row 10 : 10 \| november 3, 1991 \| detroit lions \| w 20-10 \| 57281 \| 0 row 11 : 11 \| november 11, 1991 \| at minnesota vikings \| w 34-17 \| 59001 \| 0 row 12 : 12 \| november 17, 1991 \| at indianapolis colts \| w 31-17 \| 60519 \| 0 row 13 : 13 \| november 24, 1991 \| miami dolphins \| l 16-13 \| 58288 \| 0 row 14 : 14 \| november 28, 1991 \| at detroit lions \| l 16-6 \| 78879 \| 0 row 15 : 15 \| december 8, 1991 \| green bay packers \| w 27-13 \| 62353 \| 0 row 16 : 16 \| december 14, 1991 \| tampa bay buccaneers \| w 27-0 \| 54719 \| 0 row 17 : 17 \| december 23, 1991 \| at san francisco 49ers \| l 52-14 \| 60419 \| 0 ] Execute this SQL based on the above table: select bye order by week desc limit 1	0
[ header: township \| fips \| population center \| population \| population density /km2 (/sq mi) \| land area km2 (sq mi) \| water area km2 (sq mi) \| water % \| geographic coordinates row 1 : alexandria \| 1100 \| None \| 859 \| 7 (18) \| 123 (48) \| 1 (0) \| 0.62% \| 39°16′8′′n 95°7 row 2 : delaware \| 17450 \| None \| 1361 \| 22 (57) \| 62 (24) \| 3 (1) \| 4.19% \| 39°14′50′′n 94° row 3 : easton \| 19625 \| None \| 1245 \| 11 (30) \| 109 (42) \| 0 (0) \| 0.11% \| 39°21′57′′n 95°7 row 4 : fairmount \| 22325 \| basehor \| 6266 \| 61 (159) \| 102 (39) \| 0 (0) \| 0.39% \| 39°8′4′′n 94° row 5 : high prairie \| 32125 \| None \| 1768 \| 14 (37) \| 124 (48) \| 0 (0) \| 0.27% \| 39°15′30′′n 95°0 row 6 : kickapoo \| 36700 \| None \| 1760 \| 15 (40) \| 114 (44) \| 3 (1) \| 2.39% \| 39°20′45′′n 94° row 7 : reno \| 58950 \| None \| 1143 \| 10 (27) \| 111 (43) \| 2 (1) \| 1.56% \| 39°1′8′′n 95°8 row 8 : sherman \| 65000 \| None \| 2367 \| 22 (57) \| 108 (42) \| 3 (1) \| 2.44% \| 39°0′59′′n 95°0 row 9 : stranger \| 68500 \| None \| 2451 \| 19 (50) \| 127 (49) \| 0 (0) \| 0.17% \| 39°8′16′′n 95°2 row 10 : tonganoxie \| 70825 \| tonganoxie (part) \| 4852 \| 35 (91) \| 137 (53) \| 1 (0) \| 0.66% \| 39°7′0′′n 95°6 ] Execute this SQL based on the above table: select population center where population > 310	basehor, tonganoxie (part)
[ header: album/single \| performer \| year \| variant \| notes row 1 : the english and scottish popular balla \| ewan maccoll \| 1956 \| gil morice \| the earliest known professional recording (8'37") row 2 : blood and roses vol 2 \| ewan maccoll \| 1981 \| child maurice \| this is a different version from maccoll row 3 : right of passage \| martin carthy \| 1988 \| bill norrie \| None row 4 : kornog \| kornog \| 2000 \| child noryce \| the only known version by a french band row 5 : the furrowed field \| damien barber \| 2000 \| bill norrie \| None row 6 : songs \| spiers and boden \| 2005 \| child morris \| None row 7 : at ruskin mill \| martin carthy \| 2005 \| bill norrie \| the longest recorded version (9'06") ] Execute this SQL based on the above table: select album/single where album/single in ( 'the english and scottish popular ballads vol 3' , 'at ruskin mill' ) order by notes limit 1	the english and scottish popular ballads vol 3
[ header: singing position \| song title \| informal translation \| act \| percentage of votes \| final position row 1 : 1 \| das tut unheimlich weh \| it hurts so much \| jeanette biedermann \| 12.2% \| 4 row 2 : 2 \| lover boy \| None \| carol bee \| None \| 7 row 3 : 3 \| ein bißchen sonne, ein bi \| a little sun, a little rain \| patrick lindner \| None \| 6 row 4 : 4 \| ich habe meine tage \| i've got my period \| megasuß \| None \| 8 row 5 : 5 \| reise nach jerusalem - \| journey to jerusalem \| surpriz \| 16.2% \| 2 row 6 : 6 \| heaven \| None \| elvin \| None \| 9 row 7 : 7 \| hor den kindern einfach zu \| just listen to the children \| corinna may \| 32.6% \| 1 (dq) row 8 : 8 \| itsy bitsy spider \| None \| naima \| None \| 11 row 9 : 9 \| bye bye bar \| None \| michael von der heide \| None \| 5 row 10 : 10 \| lost in love \| None \| wind \| None \| 10 row 11 : 11 \| together we're strong \| None \| cathrin \| 15.9% \| 3 ] Execute this SQL based on the above table: select act order by singing position desc limit 1	cathrin
[ header: tie no \| home team \| score \| away team \| attendance row 1 : 1 \| blackpool \| 2-0 \| rochdale \| None row 2 : 2 \| chesterfield \| 1-1 \| southend united \| None row 3 : replay \| southend united \| 2 - 0 \| chesterfield \| None row 4 : 3 \| canvey island \| 1-0 \| northampton town \| None row 5 : 4 \| macclesfield town \| 4-1 \| swansea city \| None row 6 : 5 \| swindon town \| 3-2 \| hereford united \| None row 7 : 6 \| tranmere rovers \| 6-1 \| carlisle united \| None row 8 : 7 \| wycombe wanderers \| 3-0 \| notts county \| None row 9 : 8 \| brighton & hove albion \| 2-1 \| rushden & diamonds \| 5647 row 10 : 9 \| plymouth argyle \| 1-1 \| bristol rovers \| None row 11 : replay \| bristol rovers \| 3 - 2 \| plymouth argyle \| None row 12 : 10 \| hull city \| 2-3 \| oldham athletic \| 9422 row 13 : 11 \| altrincham \| 1-2 \| darlington \| None row 14 : 12 \| exeter city \| 0-0 \| dagenham & redbridge \| None row 15 : replay \| dagenham & redbridge \| 3 - 0 \| exeter city \| None row 16 : 13 \| scunthorpe united \| 3-2 \| brentford \| None row 17 : 14 \| mansfield town \| 4-0 \| huddersfield town \| 6836 row 18 : 15 \| cardiff city \| 3-0 \| port vale \| None row 19 : 16 \| halifax town \| 1-1 \| stoke city \| 3335 row 20 : replay \| stoke city \| 3 - 0 \| halifax town \| 4356 row 21 : 17 \| york city \| 2-0 \| reading \| None row 22 : 18 \| peterborough united \| 1-0 \| bournemouth \| None row 23 : 19 \| leyton orient \| 2-1 \| lincoln city \| None row 24 : 20 \| hinckley united \| 0-2 \| cheltenham town \| None ] Execute this SQL based on the above table: select score order by tie no desc limit 1	0-2
[ header: code \| district \| headquarters \| population (as of 2011) \| area (km2) \| density (/km2) row 1 : al \| almora \| almora \| 621972 \| 3083 \| 202 row 2 : ba \| bageshwar \| bageshwar \| 259840 \| 2302 \| 113 row 3 : cl \| chamoli \| chamoli gopeshwar \| 391114 \| 7613 \| 51 row 4 : cp \| champawat \| champawat \| 259315 \| 1781 \| 146 row 5 : dd \| dehradun \| dehradun \| 1695860 \| 3088 \| 550 row 6 : ha \| haridwar \| haridwar \| 1927029 \| 2360 \| 817 row 7 : na \| nainital \| nainital \| 955128 \| 3860 \| 247 row 8 : pg \| pauri garhwal \| pauri \| 686572 \| 5399 \| 127 row 9 : pi \| pithoragarh \| pithoragarh \| 485993 \| 7100 \| 68 row 10 : rp \| rudra prayag \| rudraprayag \| 236857 \| 1890 \| 125 row 11 : tg \| tehri garhwal \| new tehri \| 616409 \| 4080 \| 151 row 12 : us \| udham singh nagar \| rudrapur \| 1648367 \| 2908 \| 567 row 13 : ut \| uttarkashi \| uttarkashi \| 329686 \| 8016 \| 41 ] Execute this SQL based on the above table: select count ( * ) where density (/km2) < 202	8
[ header: country \| gdp (usd bln, 2012) \| gdp (usd bln, 2017) \| gdp (usd ppp bln, 2012) \| gdp (usd ppp bln, 2017) \| per capita (usd, 2012) \| per capita (usd, 2017) \| per capita (usd ppp, 2012) \| per capita (usd ppp, 2017) row 1 : albania \| 12.39 \| 14.75 \| 25.86 \| 31.55 \| 3,821.09 \| 4,435.73 \| 7,975.86 \| 9,489.11 row 2 : azerbaijan \| 71.04 \| 109.95 \| 98.24 \| 123.35 \| 7,726.65 \| 11,491.29 \| 10,684.95 \| 12,891.89 row 3 : bangladesh \| 118.69 \| 177.66 \| 305.51 \| 462.42 \| 791.09 \| 1,122.90 \| 2,036.23 \| 2,922.78 row 4 : brunei darussalam \| 16.85 \| 18.15 \| 21.94 \| 28.31 \| 38,801.27 \| 37,516.64 \| 50,526.35 \| 58,522.83 row 5 : cote d'ivoire \| 24.27 \| 37.03 \| 39.64 \| 61.66 \| 1,038.74 \| 1,366.89 \| 1,696.15 \| 2,276.02 row 6 : egypt \| 255.00 \| 339.33 \| 537.76 \| 756.42 \| 3,109.47 \| 3,729.36 \| 6,557.38 \| 8,313.47 row 7 : gabon \| 16.80 \| 18.00 \| 26.71 \| 32.68 \| 10,908.38 \| 10,881.51 \| 17,338.98 \| 19,762.74 row 8 : indonesia \| 894.85 \| 1,842.78 \| 1,211.96 \| 1,814.58 \| 3,660.42 \| 7,022.67 \| 4,957.55 \| 6,915.24 row 9 : iran \| 483.78 \| 671.01 \| 1,006.54 \| 1,173.48 \| 6,355.74 \| 8,269.55 \| 13,103.90 \| 14,462.05 row 10 : jordan \| 31.35 \| 46.33 \| 38.67 \| 51.61 \| 4,901.28 \| 6,464.77 \| 6,044.40 \| 7,201.71 row 11 : kuwait \| 174.63 \| 193.10 \| 165.94 \| 212.73 \| 46,142.29 \| 44,467.96 \| 43,846.72 \| 48,990.11 row 12 : lebanon \| 41.77 \| 56.25 \| 63.69 \| 82.99 \| 10,416.17 \| 13,149.68 \| 15,884.07 \| 19,401.42 row 13 : libya \| 85.11 \| 117.76 \| 87.91 \| 145.08 \| 12,878.85 \| 16,141.08 \| 13,303.20 \| 19,886.33 row 14 : morocco \| 97.17 \| 140.01 \| 170.95 \| 242.78 \| 2,987.92 \| 4,099.70 \| 5,256.55 \| 7,109.34 row 15 : mozambique \| 14.64 \| 23.76 \| 26.22 \| 41.71 \| 652.00 \| 958.25 \| 1,167.30 \| 1,682.38 row 16 : nigeria \| 272.55 \| 388.42 \| 450.54 \| 676.25 \| 1,654.31 \| 2,058.57 \| 2,734.63 \| 3,584.02 row 17 : pakistan \| 230.53 \| 274.82 \| 514.56 \| 662.44 \| 1,288.50 \| 1,391.71 \| 2,876.08 \| 3,354.68 row 18 : qatar \| 184.57 \| 237.85 \| 188.96 \| 274.46 \| 100,377.54 \| 106,320.28 \| 102,768.69 \| 122,684.13 ] Execute this SQL based on the above table: select country where id = 15	egypt
[ header: year \| order \| quantity \| ger nos. row 1 : 1893 \| n31 \| 1 \| 999 row 2 : 1893 \| h33 \| 10 \| 979-988 row 3 : 1894 \| l33 \| 10 \| 989-998 row 4 : 1894 \| e34 \| 10 \| 969-978 row 5 : 1896 \| n37 \| 10 \| 959-968 row 6 : 1897 \| h40 \| 10 \| 949-958 row 7 : 1897 \| o41 \| 10 \| 602-608, 946-948 row 8 : 1898 \| g42 \| 10 \| 542-551 row 9 : 1898 \| k43 \| 10 \| 562-571 ] Execute this SQL based on the above table: select order order by quantity desc limit 658	h33, l33, e34, n37, h40, o41, g42, k43, n31
[ header: year \| position row 1 : 1957 \| did not enter row 2 : 1959 \| did not enter row 3 : 1962 \| did not enter row 4 : 1963 \| did not enter row 5 : 1965 \| did not enter row 6 : 1968 \| did not qualify row 7 : 1970 \| did not qualify row 8 : 1972 \| round 1 row 9 : 1974 \| withdrew row 10 : 1976 \| did not qualify row 11 : 1978 \| did not qualify row 12 : 1980 \| did not qualify row 13 : 1982 \| did not qualify row 14 : 1984 \| round 1 row 15 : 1986 \| did not qualify row 16 : 1988 \| did not qualify row 17 : 1990 \| withdrew row 18 : 1992 \| did not qualify row 19 : 1994 \| withdrew during qualifying row 20 : 1996 \| did not qualify row 21 : 1998 \| round 1 row 22 : 2000 \| round 1 row 23 : 2002 \| round 1 row 24 : 2004 \| did not qualify row 25 : 2006 \| round 1 row 26 : 2008 \| did not qualify row 27 : 2010 \| withdrew due to rebel attack row 28 : 2012 \| did not qualify row 29 : 2013 \| quarter-final ] Execute this SQL based on the above table: select count ( position ) where position = 'round 1'	6
[ header: \| agglutination \| synthesis \| compounding \| derivation \| inflection \| prefixing \| suffixing row 1 : swahili \| 0.67 \| 2.56 \| 1 \| 0.03 \| 0.31 \| 0.45 \| 0.16 row 2 : spoken turkish \| 0.67 \| 1.75 \| 1.04 \| 0.06 \| 0.38 \| 0 \| 0.44 row 3 : written turkish \| 0.6 \| 2.33 \| 1 \| 0.11 \| 0.43 \| 0 \| 0.54 row 4 : yakut \| 0.51 \| 2.17 \| 1.02 \| 0.16 \| 0.38 \| 0 \| 0.53 row 5 : greek \| 0.4 \| 1.82 \| 1.02 \| 0.07 \| 0.37 \| 0.02 \| 0.42 row 6 : english \| 0.3 \| 1.67 \| 1 \| 0.09 \| 0.32 \| 0.02 \| 0.38 row 7 : eskimo \| 0.03 \| 3.7 \| 1 \| 0.34 \| 0.47 \| 0 \| 0.73 ] Execute this SQL based on the above table: select order by synthesis desc limit 1	eskimo
[ header: year \| starts \| wins \| top 5 \| top 10 \| poles \| avg. start \| avg. finish \| winnings \| position \| team(s) row 1 : 1986 \| 2 \| 0 \| 0 \| 0 \| 0 \| 21 \| 29 \| $535 \| 110th \| #31 grissom racing enterprises row 2 : 1987 \| 2 \| 0 \| 0 \| 0 \| 0 \| 17 \| 21.5 \| $975 \| 49th \| #39 grissom racing enterprises row 3 : 1988 \| 29 \| 0 \| 1 \| 4 \| 0 \| 23.6 \| 20.4 \| $45,391 \| 13th \| #39 grissom racing enterprises row 4 : 1989 \| 29 \| 0 \| 2 \| 5 \| 0 \| 23.1 \| 18.9 \| $71,822 \| 12th \| #9/#19 falcon racing row 5 : 1990 \| 31 \| 4 \| 11 \| 15 \| 1 \| 14.8 \| 13.2 \| $166,842 \| 3rd \| #31 grissom racing enterprises row 6 : 1991 \| 31 \| 1 \| 7 \| 13 \| 1 \| 20.5 \| 15.7 \| $152,206 \| 10th \| #31 grissom racing enterprises row 7 : 1992 \| 31 \| 1 \| 2 \| 7 \| 1 \| 19.7 \| 16.7 \| $170,716 \| 12th \| #31 grissom racing enterprises row 8 : 1994 \| 11 \| 0 \| 1 \| 1 \| 0 \| 27.5 \| 26.6 \| $39,475 \| 43rd \| #31 grissom racing enterprises row 9 : 1995 \| 15 \| 2 \| 4 \| 7 \| 0 \| 23.9 \| 15.6 \| $110,105 \| 26th \| #29 diamond ridge motorsports row 10 : 1996 \| 8 \| 1 \| 3 \| 4 \| 0 \| 25.9 \| 14.1 \| $90,942 \| 45th \| #29 diamond ridge motorsports row 11 : 1997 \| 1 \| 0 \| 0 \| 0 \| 0 \| 43 \| 39 \| $4,425 \| 114th \| #5 labonte motorsports row 12 : 1998 \| 2 \| 0 \| 0 \| 0 \| 1 \| 22 \| 23 \| $16,444 \| 77th \| #12 spencer motor ventures # row 13 : 1999 \| 12 \| 0 \| 0 \| 0 \| 0 \| 35.5 \| 30.6 \| $128,750 \| 52nd \| #74 bace motorsports #12 row 14 : 2000 \| 1 \| 0 \| 0 \| 0 \| 0 \| 43 \| 37 \| $7,925 \| 109th \| #8 petty enterprises row 15 : 2001 \| 1 \| 0 \| 0 \| 0 \| 0 \| 21 \| 26 \| $27,000 \| 151st \| #45 petty enterprises row 16 : 2002 \| 7 \| 0 \| 0 \| 0 \| 0 \| 30.6 \| 30.4 \| $86,830 \| 56th \| #34 frank cicci racing row 17 : 2003 \| 6 \| 0 \| 0 \| 0 \| 0 \| 37 \| 27.8 \| $83,825 \| 67th \| #07 dlp racing #61/ row 18 : 2004 \| 26 \| 0 \| 0 \| 0 \| 0 \| 37.3 \| 28.6 \| $482,604 \| 28th \| #36 dct motorsports # row 19 : 2005 \| 31 \| 0 \| 0 \| 0 \| 0 \| 40.3 \| 32.2 \| $602,395 \| 23rd \| #49 jay robinson racing row 20 : 2006 \| 2 \| 0 \| 0 \| 0 \| 0 \| 42 \| 30.5 \| $72,136 \| 98th \| #49 jay robinson racing row 21 : 2007 \| 1 \| 0 \| 0 \| 0 \| 0 \| 43 \| 25 \| $45,800 \| 133rd \| #34 frank cicci racing ] Execute this SQL based on the above table: select count ( team(s) ) where team(s) = 11	0
[ header: rd \| pick \| player \| position \| school row 1 : 1 \| 1 \| chuck bednarik (lottery bonus \| center \| pennsylvania row 2 : 1 \| 9 \| frank tripucka \| quarterback \| notre dame row 3 : 2 \| 19 \| frank burns \| back \| rutgers row 4 : 3 \| 29 \| frank ziegler \| back \| georgia tech row 5 : 4 \| 41 \| don panciera \| back \| san francisco row 6 : 5 \| 51 \| terry brennan \| back \| notre dame row 7 : 6 \| 58 \| warren huey \| end \| michigan state row 8 : 7 \| 71 \| frank gillespie \| guard \| clemson row 9 : 8 \| 81 \| bob dean \| back \| cornell row 10 : 9 \| 91 \| jonathan jenkins \| tackle \| dartmouth row 11 : 10 \| 101 \| roy lester \| end \| west virginia row 12 : 11 \| 111 \| bobby wilson \| back \| mississippi row 13 : 12 \| 121 \| dale armstrong \| end \| dartmouth row 14 : 13 \| 131 \| lyle button \| tackle \| illinois row 15 : 14 \| 141 \| bobby lund \| back \| tennessee row 16 : 15 \| 151 \| carl copp \| tackle \| vanderbilt row 17 : 16 \| 161 \| frank reno \| end \| west virginia row 18 : 17 \| 171 \| leo skladany \| end \| pittsburgh row 19 : 18 \| 181 \| russ strait \| back \| muhlenberg row 20 : 19 \| 191 \| paul odom \| guard \| rollins row 21 : 20 \| 201 \| lloyd brinkman \| back \| missouri row 22 : 21 \| 211 \| lou futrell \| back \| usc row 23 : 22 \| 221 \| harvey kingry \| back \| colorado mines row 24 : 23 \| 231 \| hank kalver \| tackle \| oklahoma city row 25 : 24 \| 241 \| fred leon \| tackle \| nevada-reno row 26 : 25 \| 251 \| john "bull" schweder \| guard \| pennsylvania ] Execute this SQL based on the above table: select position where position != 'quarterback' and rd = ( select rd where position = 'quarterback' )	center
[ header: number \| driver \| entrant \| chassis \| engine \| tyre row 1 : 1 \| jimmy bryan \| dean van lines \| kuzma \| offenhauser \| f row 2 : 2 \| john lawrence \| ecurie ecosse \| jaguar d-type \| jaguar \| d row 3 : 4 \| jack fairman \| ecurie ecosse \| jaguar d-type \| jaguar \| d row 4 : 6 \| ninian sanderson \| ecurie ecosse \| jaguar d-type \| jaguar \| d row 5 : 7 \| bob veith \| bob estes \| phillips \| offenhauser \| f row 6 : 8 \| jean behra \| maserati \| maserati 250f \| maserati \| f row 7 : 8 \| jean behra \| maserati \| maserati 450s1 \| maserati \| f row 8 : 12 \| pat o'connor \| sumar \| kurtis kraft 500g \| offenhauser \| f row 9 : 16 \| mario bornigia \| scuderia cottione \| ferrari \| ferrari \| None row 10 : 27 \| tony bettenhausen \| novi auto air conditioning \| kurtis kraft 500f \| novi (s/c) \| f row 11 : 35 \| eddie sachs \| jim robbins \| kurtis kraft 500g \| offenhauser \| f row 12 : 49 \| ray crawford \| meguiar mirror glaze \| kurtis kraft 500g \| offenhauser \| f row 13 : 52 \| troy ruttman \| john zink \| watson \| offenhauser \| f row 14 : 52 \| jim rathmann2 \| john zink \| watson \| offenhauser \| f row 15 : 54 \| paul russo \| novi auto air conditioning \| kurtis kraft 500f \| novi (s/c) \| f row 16 : 73 \| andy linden \| mcnamara veedo \| kurtis kraft 500g \| offenhauser \| f row 17 : 98 \| johnnie parsons \| agajanian \| kuzma \| offenhauser \| f ] Execute this SQL based on the above table: select driver order by number asc limit 1	jimmy bryan
[ 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 count ( country ) where time = 999	0
[ header: date \| time \| opponent# \| site \| tv \| result \| attendance row 1 : september 4 \| 7:00 pm \| pacific \| jones stadium • lubbock, \| None \| w 55-7 \| 29164 row 2 : september 11 \| 1:00 pm \| at #9 nebraska \| memorial stadium • lincoln, \| None \| l 27-50 \| 75771 row 3 : september 18 \| 12:00 pm \| at georgia \| sanford stadium • athens, \| None \| l 11-17 \| 74511 row 4 : september 25 \| 12:00 pm \| at baylor \| floyd casey stadium • waco, \| raycom \| l 26-28 \| 32690 row 5 : october 2 \| 11:00 am \| #14 texas a&m \| jones stadium • lubbock, \| abc \| l 6-31 \| 50748 row 6 : october 9 \| 1:00 pm \| north carolina state \| jones stadium • lubbock, \| None \| l 34-36 \| 26943 row 7 : october 16 \| 7:00 pm \| rice \| jones stadium • lubbock, \| None \| w 45-16 \| 27812 row 8 : october 30 \| 12:00 pm \| at texas \| texas memorial stadium • austin \| raycom \| w 31-22 \| 63132 row 9 : november 6 \| 12:00 pm \| tcu \| jones stadium • lubbock, \| raycom \| w 49-21 \| 31922 row 10 : november 13 \| 2:00 pm \| at smu \| ownby stadium • university park, tx \| None \| w 41-24 \| 15714 row 11 : november 20 \| 7:00 pm \| vs. houston \| alamodome • san a \| None \| w 58-7 \| 28652 row 12 : december 31 \| 1:30 pm \| vs. #19 oklahom \| sun bowl stadium • el paso, \| cbs \| l 10-41 \| 43848 ] Execute this SQL based on the above table: select attendance where tv is null	29164, 75771, 74511, 26943, 27812, 15714, 28652
[ header: election \| number of popular votes \| % of popular votes \| total elected seats \| +/- row 1 : 1988 \| 139982 \| 22.16 \| 61 / 264 \| None row 2 : 1991 \| 170757 \| 32.11 \| 83 / 272 \| 22 row 3 : 1994 \| 242557 \| 35.34 \| 121 / 346 \| 38 row 4 : 1999 \| 271251 \| 33.45 \| 122 / 390 \| 1 row 5 : 2003 \| 459640 \| 44.67 \| 194 / 400 \| 72 row 6 : 2007 \| 445781 \| 39.15 \| 127 / 405 \| 30 row 7 : 2011 \| 464512 \| 39.34 \| 103 / 412 \| 18 ] Execute this SQL based on the above table: select total elected seats order by +/- desc limit 1007	194 / 400, 121 / 346, 127 / 405, 83 / 272, 103 / 412, 122 / 390, 61 / 264
[ header: year \| original title \| english title \| role \| notes row 1 : 1955 \| ordet \| the word \| morten borgen \| directed by carl th. dre row 2 : 1942 \| med forenede kræf \| None \| None \| propaganda film row 3 : 1938 \| bolettes brudefærd \| None \| carpenter kristiansen \| based on malberg's play row 4 : 1938 \| kongen bød \| None \| jeppe \| None row 5 : 1937 \| kloge mand, den \| the clever man \| shoemaker \| None row 6 : 1936 \| sol over danmark \| sun over denmark \| pastor nicolaj jacobs \| None row 7 : 1933 \| kobberbryllup \| None \| handelsgartner johans \| None row 8 : 1932 \| paustians uhr \| paustian's clock \| mayor \| None row 9 : 1931 \| præsten i vejlby \| the vicar of vejlby \| præsten søren quist \| first danish sound film row 10 : 1930 \| hr. tell og s \| william tell and son \| uncle jokum \| fy & bi film row 11 : 1929 \| højt paa en \| None \| None \| fy & bi film row 12 : 1925 \| grønkøbings glade \| pat and patachon are millionaires \| bank director \| fy & bi film row 13 : 1924 \| der mann um mitternacht \| the man at midnight \| knut hammerdal \| None row 14 : 1921 \| det største i \| love that lives \| thomas ward \| directed by holger-madsen row 15 : 1920 \| gudernes yndling \| the penalty of fame \| pommel \| None row 16 : 1919 \| krigsmillionæren \| the parvenu \| jensen \| directed by emanuel greg row 17 : 1916 \| udenfor loven \| outside the law \| brown \| None row 18 : 1914 \| tre indvendige jom \| three maidens \| None \| None row 19 : 1914 \| lejla \| lejla \| horse trainer \| None row 20 : 1913 \| lille klaus og \| None \| lille klaus \| None row 21 : 1910 \| dorian grays portræt \| the picture of dorian gray \| None \| None ] Execute this SQL based on the above table: select count ( * ) > 0 where original title not null	1
[ header: year \| tournaments played \| cuts made \| wins \| 2nd \| 3rd \| top 10s \| best finish \| earnings (€) \| money list rank \| scoring average \| scoring rank \| rolex ranking row 1 : 2004 \| 1 \| 0 \| 0 \| 0 \| 0 \| 0 \| cut \| None \| None \| 77.5 \| None \| None row 2 : 2006 \| 1 \| 1 \| 0 \| 0 \| 0 \| 0 \| t55 \| None \| None \| 73.67 \| None \| None row 3 : 2007 \| 1 \| 1 \| 0 \| 0 \| 0 \| 0 \| t11 \| None \| None \| 71 \| None \| 647 row 4 : 2008 \| 1 \| 1 \| 0 \| 0 \| 0 \| 1 \| t10 \| None \| None \| 70.33 \| None \| 703 row 5 : 2009 \| 17 \| 14 \| 0 \| 0 \| 0 \| 1 \| t5 \| 48893 \| 35 \| 72.45 \| 37 \| 274 row 6 : 2010 \| 20 \| 14 \| 0 \| 3 \| 1 \| 7 \| t2 \| 121959 \| 12 \| 72.33 \| 35 \| 118 row 7 : 2011 \| 15 \| 13 \| 1 \| 2 \| 1 \| 6 \| 1 \| 161172 \| 8 \| 70.92 \| 13 \| 63 row 8 : 2012 \| 6 \| 3 \| 2 \| 0 \| 0 \| 2 \| 1 \| 104884 \| 13 \| 72 \| None \| 65 ] Execute this SQL based on the above table: select best finish where money list rank not null	t5, t2, 1, 1
[ header: model name \| date \| type \| thrust (kg) / power (eshp) \| fitted to row 1 : rtd-1/vdr-2 \| 1938 \| two-stage centrifugal compressor turbojet \| 500 kg estimated \| test-bed only row 2 : s-18/vdr-3 \| 1945 \| axial flow compressor turbojet \| 1,250 kg \| gu-vrd project row 3 : tr-1 \| 1946 \| 8-stage axial flow compressor turbojet \| 1,300 kg \| alekseyev i-21, ily row 4 : tr-1a \| 1947 \| 8-stage axial flow compressor turbojet \| 1,500 kg \| None row 5 : tr-2 \| 1947 \| None \| None \| projected growth version of tr-1 row 6 : tr-3 and al-5 \| 1949 \| 7-stage axial-flow turbojet \| 4,600 kg (at qualification in 1950) \| il-30, il-46, la row 7 : tr-7 \| 1950s \| supersonic compressor prototype of the al-7 \| None \| prototype for al-7 row 8 : al-7 \| 1954 \| 9-stage supersonic compressor turbojet \| 6,500 kg \| il-54, su-7b, row 9 : al-21 \| 1961 \| 14-stage axial compressor with variable stator \| 11,000 kg \| yak-38, tu-28 row 10 : al-31 \| 1976 \| twin-spool turbofan 0.6 bypass ratio \| 13,300 kg \| su-27, su-30, su-34 ] Execute this SQL based on the above table: select count ( * ) where type is null	1
[ header: name \| position \| length [km] \| drainage basin area [km2] \| confluence [by lahn-km] \| mouth elevation [m above msl] row 1 : feudinge (ruppersbach) \| left \| 6.3 \| 21.2 \| 9.8 \| 388 row 2 : ilse \| right \| 8.4 \| 11.8 \| 10.5 \| 382 row 3 : banfe \| right \| 11.5 \| 38.9 \| 18.5 \| 326 row 4 : laasphe \| left \| 8.3 \| 19.6 \| 19.4 \| 324 row 5 : perf \| right \| 20 \| 113.1 \| 24.7 \| 285 row 6 : dautphe \| left \| 8.8 \| 41.8 \| 37.5 \| 245 row 7 : wetschaft \| left \| 29 \| 196.2 \| 56.3 \| 192 row 8 : ohm \| left \| 59.7 \| 983.8 \| 58.7 \| 188 row 9 : allna \| right \| 19.1 \| 92 \| 77.1 \| 172 row 10 : zwester ohm \| left \| 20 \| 69.5 \| 84 \| 165 row 11 : salzbode \| right \| 27.6 \| 137.8 \| 87.4 \| 164 row 12 : lumda \| left \| 30 \| 131.5 \| 93.6 \| 160 row 13 : wieseck \| left \| 24.3 \| 119.6 \| 102.2 \| 155 row 14 : bieber \| right \| 13.6 \| 34.7 \| 105.1 \| 151 row 15 : kleebach \| left \| 26.9 \| 164.6 \| 106.2 \| 150 row 16 : wetzbach \| left \| 11.7 \| 32.9 \| 119.6 \| 147 row 17 : dill \| right \| 55 \| 717.7 \| 120.4 \| 147 row 18 : solmsbach \| left \| 24.6 \| 112.5 \| 128.1 \| 141 row 19 : iserbach (mottbach) \| left \| 19.2 \| 31.2 \| 131.4 \| 139 row 20 : ulmbach \| right \| 22.9 \| 60.9 \| 138.2 \| 135 row 21 : kallenbach \| right \| 14.6 \| 84.7 \| 141.3 \| 132 row 22 : weil \| left \| 46.6 \| 247.9 \| 149.4 \| 130 row 23 : kerkerbach \| right \| 20.7 \| 70.2 \| 176 \| 112 row 24 : emsbach \| left \| 39.1 \| 321.8 \| 181 \| 110 row 25 : elbbach \| right \| 40.7 \| 323.7 \| None \| 109 row 26 : aar \| left \| 49.7 \| 312.6 \| None \| 103 row 27 : dorsbach \| left \| 32 \| 114 \| None \| 94 row 28 : gelbach (aubach) \| right \| 39.7 \| 221.2 \| None \| 93 row 29 : muhlbach \| left \| 32.1 \| 171.9 \| None \| 85 row 30 : emsbach \| right \| 11.5 \| 29.4 \| None \| 75 ] Execute this SQL based on the above table: select count ( length [km] ) where position = 'left'	17
[ header: goal \| date \| location \| opponent \| lineup \| min \| assist/pass \| score \| result \| competition row 1 : 1 \| may 9, 2004 \| usaalbuquerque nm \| mexico \| on 70' (off lilly) \| 19 \| tarpley \| 3-0 \| 3-0 \| friendly row 2 : 2 \| jun 26, 2005 \| usavirginia beach \| canada \| 90.start \| 12 \| unassisted \| 1-0 \| 2-0 \| friendly row 3 : 3 \| jan 30, 2007 \| chnguangzhou \| china pr \| 90.start \| 46 \| unassisted \| 1-0 \| 2-0 \| four nations tournament row 4 : 4 \| may 12, 2007 \| usafrisco tx \| canada \| off 72' (on wagner) \| 28 \| tarpley \| 3-1 \| 6-2 \| friendly row 5 : 5 \| sep 18, 2007 \| chnshanghai \| nigeria \| 90.start \| 1 \| wambach \| 1-0 \| 1-0 \| world cup - group b row 6 : 6 \| sep 30, 2007 \| chnshanghai \| norway \| 90.start \| 58 \| unassisted \| 3-0 \| 4-1 \| world cup final - third place playoff row 7 : 7 \| aug 18, 2008 \| chnbeijing \| japan \| 90.start \| 44 \| rodriguez \| 2-1 \| 4-2 \| olympics tournament row 8 : 8 \| sep 20, 2008 \| usabridgeview il \| ireland \| 90.start \| 19 \| tarpley \| 1-0 \| 2-0 \| friendly ] Execute this SQL based on the above table: select opponent where opponent = 'nigeria'	nigeria
[ header: week \| start date \| type \| tournament \| surface \| town \| country \| continent \| prize money row 1 : 35 \| october 24 \| premier wta tour championships \| sony ericsson championships \| hard \| istanbul \| turkey \| europe \| $4,550,000 row 2 : 9 \| march 21 \| premier mandatory \| sony ericsson open \| hard \| key biscayne \| united states \| north america \| $4,500,000 row 3 : 32 \| october 3 \| premier mandatory \| china open \| hard \| beijing \| china \| asia \| $4,500,000 row 4 : 14 \| may 9 \| premier 5 \| internazionali bnl \| clay \| rome \| italy \| europe \| $2,000,000 row 5 : 26 \| august 15 \| premier 5 \| western & southern financial group women's open \| hard \| cincinnati \| united states \| north america \| $2,000,000 row 6 : 10 \| april 4 \| premier 700 \| family circle cup \| clay \| charleston \| united states \| north america \| $700,000 row 7 : 24 \| august 1 \| premier 700 \| mercury insurance open \| hard \| san diego \| united states \| north america \| $700,000 row 8 : 15 \| may 16 \| premier 600 \| brussels open \| clay \| brussels \| belgium \| europe \| $618,000 row 9 : 34 \| october 17 \| premier 600 \| kremlin cup \| hard (i) \| moscow \| russia \| europe \| $1,000,000 row 10 : 36 \| october 31 \| international wta tour championships \| commonwealth bank tournament of champions \| hard (i) \| sofia \| bulgaria \| europe \| $750,000 row 11 : 1 \| january 1 \| international \| shenzhen open \| hard \| shenzhen \| china \| asia \| $500,000 row 12 : 1 \| january 3 \| international \| brisbane international \| hard \| brisbane \| australia \| oceania \| $220,000 row 13 : 5 \| february 14 \| international \| xix copa bbva col \| clay \| bogota \| colombia \| south america \| $220,000 row 14 : 11 \| april 18 \| international \| grand prix de sar la princesse la \| clay \| fes \| morocco \| africa \| $220,000 row 15 : 12 \| april 25 \| international \| estoril open \| clay \| estoril \| portugal \| europe \| $220,000 row 16 : 17 \| june 6 \| international \| e-boks sony eric \| hard \| copenhagen \| denmark \| europe \| $220,000 row 17 : 21 \| july 11 \| international \| internazionali femmin \| clay \| palermo \| italy \| europe \| $220,000 row 18 : 30 \| september 19 \| international \| hansol korea open \| hard \| seoul \| south korea \| asia \| $220,000 row 19 : 33 \| october 10 \| international \| hp japan women's open tennis \| hard \| osaka \| japan \| asia \| $220,000 row 20 : 34 \| october 17 \| international \| bgl bnp pari \| hard (i) \| luxembourg \| luxembourg \| europe \| $220,000 ] Execute this SQL based on the above table: select prize money where country = 'morocco'	220000.0
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 2001 \| asian junior championships \| bandar seri begawan, brun \| 1st \| 110 m hurdles \| 14.05 row 2 : 2002 \| world junior championships \| kingston, jamaica \| 2nd \| 110 m hurdles \| 13.58 row 3 : 2002 \| asian games \| busan, south korea \| 4th \| 110 m hurdles \| 13.92 row 4 : 2003 \| world indoor championships \| birmingham, united kingdom \| 18th (h) \| 60 m hurdles \| 7.81 row 5 : 2003 \| world championships \| paris, france \| 6th \| 110 m hurdles \| 13.55 row 6 : 2003 \| asian championships \| manila, philippines \| 1st \| 110 m hurdles \| 13.5 row 7 : 2004 \| world indoor championships \| budapest, hungary \| 17th (h) \| 60 m hurdles \| 7.75 row 8 : 2004 \| olympic games \| athens, greece \| 33rd (h) \| 110 m hurdles \| 13.68 row 9 : 2005 \| world championships \| helsinki, finland \| 9th (sf) \| 110 m hurdles \| 13.44 row 10 : 2005 \| asian championships \| incheon, south korea \| 2nd \| 110 m hurdles \| 13.44 row 11 : 2006 \| world indoor championships \| moscow, russia \| 8th (sf) \| 60 m hurdles \| 7.63 row 12 : 2006 \| asian games \| doha, qatar \| 2nd \| 110 m hurdles \| 13.28 row 13 : 2007 \| world championships \| osaka, japan \| 5th \| 110 m hurdles \| 13.19 row 14 : 2008 \| world indoor championships \| valencia, spain \| 9th (sf) \| 60 m hurdles \| 7.65 row 15 : 2008 \| olympic games \| beijing, china \| 8th (sf) \| 110 m hurdles \| 13.42 row 16 : 2009 \| asian championships \| guangzhou, china \| 2nd \| 110 m hurdles \| 13.67 row 17 : 2009 \| world championships \| berlin, germany \| 8th (sf) \| 110 m hurdles \| 13.42 row 18 : 2010 \| world indoor championships \| doha, qatar \| 16th (sf) \| 60 m hurdles \| 7.82 row 19 : 2010 \| asian games \| guangzhou, china \| 2nd \| 110 m hurdles \| 13.38 row 20 : 2011 \| asian championships \| kobe, japan \| 2nd \| 110 m hurdles \| 13.56 row 21 : 2011 \| world championships \| daegu, south korea \| 9th (sf) \| 110 m hurdles \| 13.57 row 22 : 2012 \| world indoor championships \| istanbul, turkey \| 24th (h) \| 60m hurdles \| 8.15 row 23 : 2012 \| olympic games \| london, united kingdom \| 37th (h) \| 110 m hurdles \| 13.78 ] Execute this SQL based on the above table: select ( select min ( year ) where competition = 'asian games' ) - ( select min ( year ) )	1
[ header: # \| weekend end date \| film \| weekend gross (millions) \| notes row 1 : 1 \| january 6, 2008 \| national treasure: book of secrets \| $1.65 \| None row 2 : 3 \| january 20, 2008 \| cloverfield \| $2.26 \| None row 3 : 4 \| january 27, 2008 \| rambo \| $1.71 \| meet the spartans was #1 in north row 4 : 6 \| february 10, 2008 \| fool's gold \| $1.55 \| None row 5 : 7 \| february 17, 2008 \| jumper \| $2.06 \| None row 6 : 8 \| february 24, 2008 \| vantage point \| $1.55 \| None row 7 : 11 \| march 16, 2008 \| horton hears a who! \| $2.89 \| None row 8 : 12 \| march 23, 2008 \| horton hears a who! \| $1.99 \| None row 9 : 13 \| march 30, 2008 \| 21 \| $2.17 \| None row 10 : 14 \| april 6, 2008 \| 21 \| $1.63 \| None row 11 : 15 \| april 13, 2008 \| prom night \| $1.25 \| None row 12 : 18 \| may 4, 2008 \| iron man \| $7.49 \| None row 13 : 19 \| may 11, 2008 \| iron man \| $3.93 \| None row 14 : 20 \| may 18, 2008 \| the chronicles of narnia: prince \| $4.11 \| None row 15 : 21 \| may 25, 2008 \| indiana jones and the kingdom of \| $7.00 \| None row 16 : 22 \| june 1, 2008 \| sex and the city \| $4.88 \| None row 17 : 26 \| june 29, 2008 \| wanted \| $3.10 \| wall-e was #1 in north america row 18 : 27 \| july 6, 2008 \| hancock \| $3.67 \| None row 19 : 28 \| july 13, 2008 \| hellboy ii: the golden army \| $2.50 \| None row 20 : 29 \| july 20, 2008 \| the dark knight \| $10.53 \| the dark knight had the highest weekend debut of 2008 row 21 : 31 \| august 3, 2008 \| the dark knight \| $3.65 \| None row 22 : 32 \| august 10, 2008 \| the dark knight \| $2.39 \| None row 23 : 33 \| august 17, 2008 \| tropic thunder \| $2.11 \| None row 24 : 34 \| august 24, 2008 \| tropic thunder \| $1.45 \| None row 25 : 35 \| august 31, 2008 \| tropic thunder \| $1.48 \| None row 26 : 37 \| september 14, 2008 \| burn after reading \| $1.75 \| None row 27 : 38 \| september 21, 2008 \| burn after reading \| $1.15 \| lakeview terrace was #1 in north america row 28 : 39 \| september 28, 2008 \| eagle eye \| $2.20 \| None row 29 : 40 \| october 5, 2008 \| eagle eye \| $1.16 \| beverly hills chihuah row 30 : 41 \| october 12, 2008 \| body of lies \| $1.18 \| beverly hills chihuah row 31 : 42 \| october 19, 2008 \| max payne \| $1.50 \| None row 32 : 44 \| november 2, 2008 \| zack & miri make a \| $1.53 \| high school musical 3: senior year was #1 in row 33 : 46 \| november 16, 2008 \| quantum of solace \| $7.64 \| None row 34 : 47 \| november 23, 2008 \| twilight \| $5.30 \| None row 35 : 49 \| december 7, 2008 \| twilight \| $1.52 \| four christmases was #1 in north america row 36 : 50 \| december 14, 2008 \| the day the earth stood still \| $1.81 \| None row 37 : 51 \| december 21, 2008 \| yes man \| $1.22 \| None row 38 : 52 \| december 28, 2008 \| the curious case of benjamin button \| $2.22 \| marley & me was #1 in north ] Execute this SQL based on the above table: select count ( weekend end date ) where notes < 1134 and notes > 313	0
[ header: no \| episode \| title \| original airdate \| viewers \| nightly rank row 1 : 1 \| 2-01 \| "the return" (part 1) \| 16 may 2011 \| 0.927 \| 12 row 2 : 2 \| 2-02 \| "baby bumps" (part 2) \| 16 may 2011 \| 0.76 \| 16 row 3 : 3 \| 2-03 \| "dates, decisions & divorces" \| 23 may 2011 \| 0.905 \| 12 row 4 : 4 \| 2-04 \| "together we are one" \| 30 may 2011 \| 0.953 \| 11 row 5 : 5 \| 2-05 \| "the way you are" \| 6 june 2011 \| 0.954 \| 11 row 6 : 6 \| 2-06 \| "behind closed doors" \| 13 june 2011 \| 0.982 \| 13 row 7 : 7 \| 2-07 \| "cheating on your test" \| 20 june 2011 \| 0.995 \| 11 row 8 : 8 \| 2-08 \| "two different places" \| 22 june 2011 \| 0.904 \| 10 row 9 : 9 \| 2-09 \| "just keep talking" \| 27 june 2011 \| 0.938 \| 10 row 10 : 10 \| 2-10 \| "episode ten" \| 29 june 2011 \| 1.07 \| 6 row 11 : 11 \| 2-11 \| "episode eleven" \| 6 july 2011 \| 0.825 \| 14 row 12 : 12 \| 2-12 \| "episode twelve" \| 13 july 2011 \| 0.96 \| 9 row 13 : 13 \| 2-13 \| "episode thirteen" \| 20 july 2011 \| 0.997 \| 6 ] Execute this SQL based on the above table: select episode where original airdate = '13 july 2011' order by original airdate limit 1357	2-12
[ header: state \| swimsuit \| interview \| evening gown \| average \| finalists row 1 : iowa \| 9.267 \| 9.651 \| 9.620 \| 9.513 \| 9.800 row 2 : oklahoma \| 9.226 \| 9.309 \| 9.487 \| 9.341 \| 9.586 row 3 : kansas \| 9.221 \| 9.600 \| 9.600 \| 9.474 \| 9.486 row 4 : alabama \| 9.010 \| 9.326 \| 9.449 \| 9.262 \| 9.471 row 5 : north carolina \| 9.079 \| 9.207 \| 9.500 \| 9.262 \| 9.414 row 6 : california \| 9.340 \| 9.514 \| 9.486 \| 9.447 \| 9.400 row 7 : rhode island \| 9.087 \| 9.279 \| 9.341 \| 9.235 \| None row 8 : maryland \| 9.021 \| 9.206 \| 9.271 \| 9.166 \| None row 9 : indiana \| 8.966 \| 9.103 \| 9.370 \| 9.146 \| None row 10 : virginia \| 8.984 \| 9.112 \| 9.279 \| 9.125 \| None row 11 : mississippi \| 8.917 \| 9.200 \| 9.247 \| 9.121 \| None row 12 : illinois \| 8.897 \| 8.969 \| 9.286 \| 9.050 \| None ] Execute this SQL based on the above table: select ( select interview where id = 10 ) - ( select interview where id = 12 )	0.14300000000000068
[ header: year \| title \| peak chart positions us country \| peak chart positions us \| album row 1 : 1950 \| "make up your mind" \| None \| None \| non-album singles row 2 : 1950 \| "how far is heaven" \| None \| None \| non-album singles row 3 : 1952 \| "glory land march" \| None \| None \| non-album singles row 4 : 1952 \| "it wasn't god who made hon \| 1 \| 27 \| country hit parade row 5 : 1952 \| "a wedding ring ago" \| None \| None \| the kitty wells story row 6 : 1953 \| "the things i might have been" \| None \| 22 \| country hit parade row 7 : 1953 \| "paying for that back street affair" \| 6 \| None \| country hit parade row 8 : 1953 \| "honky tonk walt \| None \| None \| country heart row 9 : 1953 \| "i don't claim to be an angel \| None \| None \| country hit parade row 10 : 1953 \| "hey joe" \| 8 \| None \| kitty wells' golden favorites row 11 : 1953 \| "cheatin's a sin" \| 9 \| None \| country hit parade row 12 : 1954 \| "release me" \| 8 \| None \| country hit parade row 13 : 1954 \| "you're not so easy to forget" \| None \| None \| after dark row 14 : 1954 \| "thou shalt not steal" \| 14 \| None \| kitty wells row 15 : 1955 \| "making believe" \| 2 \| None \| country hit parade row 16 : 1955 \| "there's poison in your heart" \| 9 \| None \| country hit parade row 17 : 1955 \| "the lonely side of town" \| 7 \| None \| after dark row 18 : 1956 \| "how far is heaven" (with carol \| 11 \| None \| singing on sunday row 19 : 1956 \| "searching (for someone like you)" \| 3 \| None \| kitty wells' golden favorites row 20 : 1956 \| "repenting" \| 6 \| None \| kitty wells' golden favorites row 21 : 1957 \| "three ways (to love you)" \| 7 \| None \| kitty wells' golden favorites row 22 : 1957 \| "(i'll always be your) \| 10 \| None \| kitty wells' golden favorites row 23 : 1958 \| "i can't stop loving you" \| 3 \| None \| kitty wells' golden favorites row 24 : 1958 \| "jealousy" \| 7 \| 78 \| kitty wells' golden favorites row 25 : 1958 \| "touch and go heart" \| 15 \| None \| the lonely side of town row 26 : 1959 \| "mommy for a day" \| 5 \| None \| kitty wells' golden favorites row 27 : 1959 \| "your wild life's gonna get you \| 12 \| None \| after dark row 28 : 1959 \| "amigo's guitar" \| 5 \| None \| seasons of my heart ] Execute this SQL based on the above table: select album where peak chart positions us > ( select peak chart positions us where album = 'country hit parade' ) order by peak chart positions us asc limit 1	kitty wells' golden favorites
[ 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 opponent order by length ( opponent ) desc limit 1	@ phillies
[ header: city \| country \| iata \| icao \| airport \| commenced \| ended row 1 : bangkok \| thailand \| bkk \| vtbs \| suvarnabhumi airport \| 2004 \| present row 2 : chennai \| india \| maa \| vomm \| chennai international airport \| 2007 \| present row 3 : chiang mai \| thailand \| cnx \| vtcc \| chiang mai international airport \| 2005 \| 2008 row 4 : da nang \| vietnam \| dad \| vvdn \| da nang international airport \| 2006 \| 2006 row 5 : dhaka \| bangladesh \| dac \| vghs \| shahjalal international airport \| 2012 \| present row 6 : guangzhou \| china \| can \| zggg \| guangzhou baiyun international airport \| 2006 \| present row 7 : haikou \| china \| hak \| zjhk \| haikou meilan international airport \| 2006 \| present row 8 : hat yai \| thailand \| hdy \| vtss \| hat yai international airport \| 2004 \| present row 9 : ho chi minh city \| vietnam \| sgn \| vvts \| tan son nhat international airport \| 2005 \| present row 10 : hong kong \| hong kong \| hkg \| vhhh \| hong kong international airport \| 2010 \| present row 11 : hyderabad \| india \| hyd \| vohs \| rajiv gandhi international \| 2012 \| present row 12 : kochi \| india \| cok \| voci \| cochin international airport \| 2012 \| present row 13 : krabi \| thailand \| kbv \| vtsg \| krabi airport \| 2005 \| present row 14 : kuala lumpur \| malaysia \| kul \| wmkk \| kuala lumpur international airport \| 2008 \| present row 15 : kuching \| malaysia \| kch \| wbgg \| kuching international airport \| 2008 \| 2013 row 16 : langkawi \| malaysia \| lgk \| wmkl \| langkawi international airport \| 2009 \| 2010 row 17 : lijang \| china \| ljg \| zplj \| lijiang sanyi airport \| 2013 \| present row 18 : lombok \| indonesia \| lop \| wadl \| lombok international airport \| 2013 \| present row 19 : manila \| philippines \| mnl \| rpll \| ninoy aquino international airport \| 2010 \| present row 20 : penang \| malaysia \| pen \| wmkp \| penang international airport \| 2009 \| present row 21 : perth \| australia \| per \| ypph \| perth airport \| 2004 \| present row 22 : phnom penh \| cambodia \| pnh \| vdpp \| phnom penh international airport \| 2012 \| present row 23 : singapore \| singapore \| sin \| wsss \| singapore changi airport[hub \| 2004 \| present row 24 : surabaya \| indonesia \| sub \| warr \| juanda international airport \| 2013 \| present row 25 : taipei \| taiwan \| tpe \| rctp \| taiwan taoy \| 2011 \| present row 26 : thiruvananthapuram \| india \| trv \| votv \| trivandrum international airport \| 2010 \| present row 27 : tiruchirapalli \| india \| trz \| votr \| tiruchirapalli airport \| 2010 \| present row 28 : udon thani \| thailand \| uth \| vtud \| udon thani international airport \| 2007 \| 2007 ] Execute this SQL based on the above table: select icao where id = ( select id where icao = 'zggg' ) + 1	zjhk
[ header: rank \| name \| nationality \| time (hand) \| notes row 1 : 1 \| tommy green \| great britain \| 4:50:10 \| or row 2 : 2 \| janis dalins \| latvia \| 4:57:20 \| None row 3 : 3 \| ugo frigerio \| italy \| 4:59:06 \| None row 4 : 4 \| karl hahnel \| germany \| 5:06:06 \| None row 5 : 5 \| ettore rivolta \| italy \| 5:07:39 \| None row 6 : 6 \| paul sievert \| germany \| 5:16:41 \| None row 7 : 7 \| henri quintric \| france \| 5:27:25 \| None row 8 : 8 \| ernie crosbie \| united states \| 5:28:02 \| None row 9 : 9 \| bill chisholm \| united states \| 5:51:00 \| None row 10 : 10 \| alfred maasik \| estonia \| 6:19:00 \| None row 11 : None \| henry cieman \| canada \| None \| dnf row 12 : None \| john moralis \| greece \| None \| dnf row 13 : None \| francesco pretti \| italy \| None \| dnf row 14 : None \| arthur tell schwab \| switzerland \| None \| dnf row 15 : None \| harry hinkel \| united states \| None \| dnf ] Execute this SQL based on the above table: select rank where id = ( select id where time (hand) = 5 ) + 1	5
[ header: category \| speed (km/h) \| speed (mph) \| vehicle \| pilot \| date row 1 : rocket-powered aircraft \| 7258 \| 4510 \| north american x-15 \| william j. knight \| 3 oct 1967 row 2 : manned air-breathing craft \| 3530 \| 2194 \| lockheed sr-71 blackbird \| eldon w. joersz \| 28 jul 1976 row 3 : propeller-driven aircraft \| 870 \| 541 \| tupolev tu-114 \| ivan soukhomline \| 1960 row 4 : piston-engined propeller-driven aircraft \| 850.1 \| 528.33 \| grumman f8f bearcat rare \| lyle shelton \| 21 aug 1989 row 5 : helicopter \| 401 \| 249.1 \| westland lynx 800 g \| john egginton \| 11 aug 1986 row 6 : glider (sailplane) \| 306.8 \| 190.6 \| schempp-hirth nim \| klaus ohlmann and \| 22 dec 2006 row 7 : human-powered aircraft \| 32 \| 19.8 \| mit monarch b \| frank scarabino \| 1 may 1984 ] Execute this SQL based on the above table: select pilot where speed (km/h) < ( select speed (km/h) where pilot = 'william j. knight' )	eldon w. joersz, ivan soukhomline, lyle shelton, john egginton, klaus ohlmann and matias garcia mazzaro, frank scarabino
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| united states (usa) \| 25 \| 16 \| 7 \| 48 row 2 : 2 \| canada (can) \| 5 \| 4 \| 7 \| 16 row 3 : 3 \| jamaica (jam) \| 4 \| 3 \| 4 \| 11 row 4 : 4 \| cuba (cub) \| 3 \| 8 \| 4 \| 15 row 5 : 5 \| mexico (mex) \| 0 \| 3 \| 3 \| 6 row 6 : 6 \| brazil (bra) \| 0 \| 2 \| 1 \| 3 row 7 : 7 \| puerto rico (pur) \| 0 \| 1 \| 1 \| 2 row 8 : 8 \| colombia (col) \| 0 \| 0 \| 3 \| 3 row 9 : 9 \| peru (per) \| 0 \| 0 \| 2 \| 2 row 10 : 9 \| trinidad and tobago (tri) \| 0 \| 0 \| 2 \| 2 row 11 : 11 \| chile (chi) \| 0 \| 0 \| 1 \| 1 row 12 : 11 \| uruguay (uru) \| 0 \| 0 \| 1 \| 1 row 13 : 11 \| venezuela (ven) \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select count ( nation ) where nation = 'puerto rico (pur)'	1
[ 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 season group by season order by sum ( combined ) limit 1	1967
[ header: name \| railway \| series \| maker \| dates \| drive \| wheel arrangement \| weight \| power \| notes row 1 : re 465 \| bls, switzerland \| re 465 001-465 00 \| slm, abb \| 1994-97 \| electric \| bo-bo \| 84 t \| 9,520 horsepower (7,099 kw \| most powerful locomotive with only four axles, similar row 2 : prr gg1 \| pennsylvania rail road ( \| 4800-4938, 900-929 \| altoona works, general electric \| 1934-43 \| electric \| 2-c+c-2 (4-6-6-4) \| 208.9 to 216.4 \| 4,629 horsepower (3,452 k \| most scrapped; the prototype and 15 production locomotive row 3 : allegheny \| chesapeake and ohi \| 1600-1659 (c&o), 900 \| lima locomotive works \| 1941-48 \| steam \| 2-6-6-6 \| 544 t \| 7,500 horsepower (5,593 kw \| two on static display row 4 : 060-ea softronic phoen \| romanian railways (cfr) \| 001, 2001-2004 \| softronic craiova \| 2009-present \| electric \| co'co' \| 120 t \| 8,851 horsepower (6,600 kw \| most powerful locomotive with highest continuous tractive effort row 5 : jr freight class ef200 \| jr freight \| None \| hitachi ltd \| 1990- \| electric \| bo'bo'bo' \| 100.8 t \| 8,046 horsepower (6,000 kw) \| most powerful single-frame narrow-gauge locomotive row 6 : china railways hxn5 \| china railways \| hxn50001-hxn \| ge, csr qishu \| 2008- \| diesel-electric \| co'co' \| 150 t \| 6,250 horsepower (4,661 kw \| most powerful diesel-electric locomotive in active production row 7 : china railways hxd1b \| china railways \| hxd1b0001-h \| csr zhuzhou electric \| 2009- \| electric \| co'co' \| 150 t \| 12,874 horsepower (9,600 kw \| most powerful single-frame locomotive in series production row 8 : china railways hxd2b \| china railways \| hxd2b0001-h \| datong electric locomotive, alstom \| 2009- \| electric \| co'co' \| 150 t \| 12,874 horsepower (9,600 kw \| most powerful single-frame locomotive in series production row 9 : china railways hxd1c \| china railways \| hxd1c0001-h \| csr zhuzhou electric \| 2009- \| electric \| co'co' \| 150 t \| 9,655 horsepower (7,200 kw \| None ] Execute this SQL based on the above table: select count ( notes ) where weight > 2	8
[ header: # \| name \| took office \| left office \| party row 1 : 1 \| nejat konuk (2nd time \| 15 november 1983 \| 19 july 1985 \| national unity party row 2 : 2 \| dervis eroglu (1st time \| 19 july 1985 \| 1 january 1994 \| national unity party row 3 : 3 \| hakkı atun \| 1 january 1994 \| 16 august 1996 \| democratic party row 4 : 2 \| dervis eroglu (2nd time) \| 16 august 1996 \| 13 january 2004 \| national unity party row 5 : 4 \| mehmet ali talat \| 13 january 2004 \| 26 april 2005 \| republican turkish party row 6 : 5 \| ferdi sabit soyer \| 26 april 2005 \| 5 may 2009 \| republican turkish party row 7 : 2 \| dervis eroglu (3rd time \| 5 may 2009 \| 23 april 2010 \| national unity party row 8 : None \| huseyin ozgurgun \| 23 april 2010 \| 17 may 2010 \| national unity party row 9 : 6 \| irsen kucuk \| 17 may 2010 \| 13 june 2013 \| national unity party row 10 : 7 \| sibel siber \| 13 june 2013 \| 2 september 2013 \| republican turkish party row 11 : 8 \| ozkan yorgancıo \| 2 september 2013 \| incumbent \| republican turkish party ] Execute this SQL based on the above table: select party where left office = 'incumbent' order by party desc limit 1	republican turkish party
[ header: season \| record \| finish \| manager \| notes row 1 : 1956-57 \| 13-14 (1st half) 10-15 (2nd \| 2nd 4th \| lazaro salazar \| None row 2 : 1957-58 \| 22-19 \| 2nd \| daniel canonico \| lost 1st round series row 3 : 1958-59 \| 22-19 \| 2nd \| kerby farrell \| won 1st and 2nd playoff rounds championship row 4 : 1959-60 \| 14-14 \| None \| alberto hidalgo \| season suspended by players' strike row 5 : 1960-61 \| 29-23 \| 2nd \| alberto hidalgo ramon \| lost semifinal round row 6 : 1961-62 \| 29-22 \| 2nd \| daniel canonico \| lost championship series row 7 : 1962-63 \| 8-25 \| 4th \| chico carrasquel \| folded before the end of the season row 8 : 1963-64 \| 21-29 \| 4th \| george genovese \| None ] Execute this SQL based on the above table: select notes where notes not null order by notes limit 567	folded before the end of the season, lost 1st round series, lost championship series, lost semifinal round, season suspended by players' strike, won 1st and 2nd playoff rounds championship title
[ header: year \| winners \| score \| score \| runners-up \| venue \| winning captain row 1 : 2000 \| meath \| 5-14 (29) \| 2-10 (16) \| carlow \| cusack park \| None row 2 : 2001 \| kerry \| 4-14 (22) \| 3-10 (19) \| westmeath \| croke park \| michael 'boxer' row 3 : 2002 \| laois \| 1-20 (23) \| 2-14 (20) \| antrim \| semple stadium \| john lyons row 4 : 2003 \| antrim \| 3-18 (27) \| 3-12 (21) \| kerry \| croke park \| None row 5 : 2004 \| down \| 5-15 (30) \| 3-7 (16) \| westmeath \| gaelic grounds \| simon wilson row 6 : 2005 \| offaly \| 6-21 (39) \| 4-7 (19) \| carlow \| semple stadium \| barry teehan row 7 : 2006 \| dublin \| 0-16 (16) \| 1-6 (9) \| kerry \| semple stadium \| philip brennan row 8 : 2007 \| laois \| 2-19 (25) \| 0-8 (8) \| wicklow \| semple stadium \| joe fitzpatrick row 9 : 2008 \| westmeath \| 2-12 (18) \| 0-12 (12) \| carlow \| gaelic grounds \| brendan murtagh row 10 : 2009 \| offaly \| 1-13 (16) \| 0-13 (13) \| wexford \| semple stadium \| ger oakley row 11 : 2010 \| wexford \| 1-16 (19) \| 2-9 (15) \| clare \| semple stadium \| diarmuid lyng row 12 : 2011 \| limerick \| 4-12 (24) \| 2-13 (19) \| clare \| cusack park \| gavin o'mahony row 13 : 2012 \| clare \| 0-21 (21) \| 1-16 (19) \| limerick \| gaelic grounds \| patrick donnellan row 14 : 2013 \| dublin \| 1-16 (19) \| 1-15 (18) \| limerick \| semple stadium \| tbc ] Execute this SQL based on the above table: select count ( venue ) where winning captain = 'tbc'	1
[ header: city \| country \| airport \| begin \| end row 1 : aberdeen \| united kingdom \| aberdeen airport \| 1999 \| None row 2 : alesund \| norway \| alesund airport, vigra \| 1971 \| None row 3 : alta \| norway \| alta airport \| 1974 \| None row 4 : batsfjord \| norway \| batsfjord airport \| 1999 \| None row 5 : bodø \| norway \| bodø airport \| 1968 \| None row 6 : brønnøysund \| norway \| brønnøysund airport, \| 1968 \| None row 7 : fagernes \| norway \| fagernes airport, leirin \| 1999 \| 2000 row 8 : florø \| norway \| florø airport \| 1971 \| None row 9 : førde \| norway \| førde airport, bringel \| 1986 \| None row 10 : førde \| norway \| førde airport, øy \| 1971 \| 1986 row 11 : glasgow \| united kingdom \| glasgow international airport \| 1997 \| 1999 row 12 : gothenburg \| sweden \| gothenburg-landvetter airport \| 1996 \| None row 13 : hammerfest \| norway \| hammerfest airport \| 1974 \| None row 14 : haugesund \| norway \| haugesund airport, karmø \| 2010 \| None row 15 : harstad/narvik \| norway \| harstad/narvik airport, \| 1975 \| None row 16 : kirkenes \| norway \| kirkenes airport, hø \| 1974 \| None row 17 : kristiansand \| norway \| kristiansand airport, kje \| 1991 \| None row 18 : lakselv \| norway \| lakselv airport, banak \| 1974 \| None row 19 : leknes \| norway \| leknes airport \| 1972 \| None row 20 : lerwick \| united kingdom \| sumburgh airport \| 1995 \| 2005 row 21 : london \| united kingdom \| london stansted airport \| 1989 \| 1992 row 22 : molde \| norway \| molde airport, arø \| 1972 \| None row 23 : murmansk \| russia \| murmansk airport \| 1994 \| 2000 row 24 : narvik \| norway \| narvik airport, framnes \| 1975 \| None row 25 : namsos \| norway \| namsos airport, hø \| 1968 \| None row 26 : newcastle \| united kingdom \| newcastle airport \| 2006 \| None row 27 : ørland \| norway \| ørland airport \| 1971 \| 1987 row 28 : ørsta/volda \| norway \| ørsta-volda airport, \| 1971 \| None row 29 : oslo \| norway \| oslo airport, forne \| 1974 \| 1998 row 30 : oslo \| norway \| oslo airport, gardermo \| 1998 \| None row 31 : rønne \| denmark \| bornholm airport \| 2007 \| None row 32 : sandefjord \| norway \| sandefjord airport, to \| 1989 \| None row 33 : sandnessjøen \| norway \| sandnessjøen airport, \| 1968 \| None row 34 : sogndal \| norway \| sogndal airport, haukas \| 1971 \| None row 35 : stavanger \| norway \| stavanger airport, sola \| 1989 \| None row 36 : svolvær \| norway \| svolvær airport, helle \| 1972 \| None row 37 : tromsø \| norway \| tromsø airport \| 1974 \| None row 38 : umea \| sweden \| umea airport \| 1995 \| 1995 ] Execute this SQL based on the above table: select count ( city ) where country - city < 1	38