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symbolic-instruction-tuning-sql

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Split (1)

train · 200k rows

inputs stringlengths 291 3.71k	targets stringlengths 1 2.65k
[ header: outcome \| no. \| date \| championship \| surface \| partner \| opponents in the final \| score in the final row 1 : runner-up \| 1 \| 1968 \| hamburg, germany \| clay \| john newcombe \| tom okker marty ries \| 4-6, 4-6, 5-7 row 2 : runner-up \| 2 \| 1968 \| hobart, australia \| grass \| fred stolle \| mal anderson roger tay \| 5-7, 3-6, 6-4, 6 row 3 : winner \| 2 \| 1969 \| french open, paris \| clay \| john newcombe \| roy emerson rod laver \| 4-6, 6-1, 3-6, row 4 : winner \| 3 \| 1969 \| wimbledon, london \| grass \| john newcombe \| tom okker marty ries \| 7-5, 11-9, 6-3 row 5 : winner \| 5 \| 1970 \| louisville, u.s \| hard \| john newcombe \| roy emerson rod laver \| 8-6, 5-7, 6-4 row 6 : winner \| 6 \| 1971 \| australian open, melbourne \| grass \| john newcombe \| tom okker marty ries \| 6-2, 7-6 row 7 : winner \| 7 \| 1971 \| miami wct, u. \| hard \| john newcombe \| roy emerson rod laver \| 7-6, 7-6 row 8 : runner-up \| 4 \| 1971 \| chicago wct, u \| carpet \| john newcombe \| tom okker marty ries \| 6-7, 6-4, 6-7 row 9 : runner-up \| 5 \| 1972 \| richmond wct, u. \| carpet \| john newcombe \| tom okker marty ries \| 6-7, 6-7 row 10 : runner-up \| 6 \| 1972 \| philadelphia wct, \| carpet \| john newcombe \| arthur ashe robert l \| 3-6, 7-6, 3-6 row 11 : runner-up \| 8 \| 1972 \| las vegas wct, \| hard \| john newcombe \| roy emerson rod laver \| def row 12 : runner-up \| 9 \| 1972 \| washington wct, u. \| clay \| john newcombe \| tom okker marty ries \| 6-3, 3-6, 2-6 row 13 : winner \| 11 \| 1972 \| boston wct, u. \| hard \| john newcombe \| arthur ashe robert l \| 6-3, 1-6, 7-6 row 14 : winner \| 12 \| 1974 \| toronto wct, canada \| carpet \| raul ramirez \| tom okker marty ries \| 6-3, 2-6, 6-4 row 15 : runner-up \| 10 \| 1974 \| monte carlo wct, \| clay \| manuel orantes \| john alexander phil dent \| 6-7, 6-4, 6-7, row 16 : winner \| 13 \| 1974 \| wimbledon, london \| grass \| john newcombe \| robert lutz stan \| 8-6, 6-4, 6-4 row 17 : runner-up \| 11 \| 1974 \| sydney indoor, australia \| hard (i) \| john newcombe \| ross case geoff masters \| 4-6, 4-6 row 18 : winner \| 14 \| 1976 \| australian open, melbourne \| grass \| john newcombe \| ross case geoff masters \| 7-6, 6-4 row 19 : winner \| 15 \| 1976 \| charlotte wct, u \| carpet \| john newcombe \| vitas gerulaitis gene \| 6-3, 7-5 ] Execute this SQL based on the above table: select score in the final where surface = 'grass'	5-7, 3-6, 6-4, 6-1, 4-6, 7-5, 11-9, 6-3, 6-2, 7-6, 8-6, 6-4, 6-4, 7-6, 6-4
[ header: year \| host \| gold \| silver \| bronze row 1 : 1976 \| paraguay (asuncion) \| brazil \| paraguay \| argentina row 2 : 1981 \| peru (lima) \| brazil \| colombia \| argentina row 3 : 1986 \| colombia (cucuta) \| brazil \| colombia \| peru row 4 : 1987 \| argentina (mar del plata) \| argentina \| brazil \| chile row 5 : 1990 \| ecuador (ibarra) \| brazil \| argentina \| ecuador row 6 : 1992 \| chile (santiago) \| brazil \| argentina \| colombia row 7 : 1995 \| brazil (sao ro \| colombia \| brazil \| argentina row 8 : 1996 \| ecuador (quito) \| argentina \| brazil \| colombia row 9 : 1998 \| chile (ancud) \| brazil \| argentina \| bolivia row 10 : 2000 \| venezuela (san feli \| brazil \| argentina \| venezuela row 11 : 2002 \| chile (santiago) \| ecuador \| chile \| paraguay row 12 : 2004 \| bolivia (quillacollo) \| brazil \| argentina \| bolivia row 13 : 2005 \| paraguay (asuncion) \| argentina \| brazil \| paraguay row 14 : 2007 \| venezuela (guanare) \| venezuela \| argentina \| brazil row 15 : 2009 \| chile (santiago) \| brazil \| chile \| argentina row 16 : 2011 \| colombia (pasto) \| colombia \| argentina \| brazil row 17 : 2013 \| ecuador (portoviejo) \| brazil \| argentina \| chile ] Execute this SQL based on the above table: select ( select year where bronze = 'venezuela' ) - ( select year where bronze = 'venezuela' )	0
[ header: title \| year \| publisher \| developer \| platforms row 1 : the hobbit \| 1982 \| melbourne house \| beam software \| amstrad cpc, z row 2 : war in middle-earth \| 1988 \| melbourne house \| melbourne house \| c64, spectrum, amstrad row 3 : the lord of the rings volume 1 \| 1990 \| interplay, electronic arts \| interplay, chaos studios (amiga \| amiga, ibm pc row 4 : the lord of the rings volume 2 \| 1992 \| interplay \| interplay \| ibm pc row 5 : riders of rohan \| 1991 \| konami, mirrorsoft \| beam software, papyrus \| ibm pc row 6 : the lord of the rings volume 1 \| 1994 \| interplay \| interplay \| super nes row 7 : the lord of the rings: the fellowship \| 2002 \| vivendi universal games \| pocket studios \| game boy advance row 8 : the lord of the rings: the two \| 2002 \| electronic arts \| stormfront studios hypnos entertainment (g \| playstation 2, xbox, ninte row 9 : the lord of the rings: the return \| 2003 \| electronic arts aspyr (mac os \| electronic arts,hypnos entertainment (gcn \| ms windows, playstation 2, x row 10 : the lord of the rings: the return \| 2003 \| electronic arts \| griptonite games \| game boy advance row 11 : the hobbit \| 2003 \| sierra \| midway austin \| ms windows, playstation 2, x row 12 : the lord of the rings: the battle \| 2004 \| electronic arts \| ea los angeles \| ms windows row 13 : the lord of the rings: tactics \| 2005 \| electronic arts \| amaze \| playstation portable row 14 : the lord of the rings: the battle \| 2006 \| electronic arts \| ea los angeles \| ms windows, xbox 360 row 15 : the lord of the rings online: shadow \| 2007 \| turbine, inc., midway \| turbine, inc \| ms windows row 16 : the lord of the rings online: mine \| 2008 \| turbine, inc., midway \| turbine, inc \| ms windows row 17 : the lord of the rings online: sie \| 2009 \| turbine, inc \| turbine, inc \| ms windows row 18 : the lord of the rings: a \| 2010 \| warner bros. interactive entertainment \| headstrong games tt fusion \| wii, nintendo d row 19 : the lord of the rings: war in \| 2011 \| warner bros. interactive entertainment \| snowblind studios \| playstation 3, ms windows, x row 20 : the lord of the rings online: riders \| 2012 \| warner bros. interactive entertainment \| turbine, inc \| ms windows row 21 : lego the lord of the rings \| 2012 \| warner bros. interactive entertainment \| traveler's tales \| ms windows, wii, n row 22 : the hobbit: armies of the third \| 2013 \| None \| kabam \| browser game ] Execute this SQL based on the above table: select platforms where year = 1981 + 1	amstrad cpc, zx spectrum, commodore 64, bbc (no graphics), dragon 32, oric atmos, msx, apple ii, ibm pc
[ header: no. \| constituency \| created \| seats \| change row 1 : 1 \| carlow-kilkenny \| 1948 \| 5 \| None row 2 : 2 \| cavan-monaghan \| 1977 \| 5 \| None row 3 : 3 \| clare \| 1921 \| 4 \| None row 4 : 4 \| cork east \| 1981 \| 4 \| None row 5 : 5 \| cork north-central \| 1981 \| 4 \| -1 row 6 : 6 \| cork north-west \| 1981 \| 3 \| None row 7 : 7 \| cork south-central \| 1981 \| 5 \| None row 8 : 8 \| cork south-west \| 1961 \| 3 \| None row 9 : 9 \| donegal north-east \| 1981 \| 3 \| None row 10 : 10 \| donegal south-west \| 1981 \| 3 \| None row 11 : 11 \| dublin central \| 1981 \| 4 \| None row 12 : 12 \| dublin mid-west \| 2002 \| 4 \| -1 row 13 : 13 \| dublin north \| 1981 \| 4 \| None row 14 : 14 \| dublin north-central \| 1948 \| 3 \| 1 row 15 : 15 \| dublin north-east \| 1981 \| 3 \| None row 16 : 16 \| dublin north-west \| 1981 \| 3 \| None row 17 : 17 \| dublin south \| 1981 \| 5 \| None row 18 : 18 \| dublin south-central \| 1948 \| 5 \| None row 19 : 19 \| dublin south-east \| 1948 \| 4 \| None row 20 : 20 \| dublin south-west \| 1981 \| 4 \| None row 21 : 21 \| dublin west \| 1981 \| 3 \| None row 22 : 22 \| dun laoghaire \| 1977 \| 5 \| None row 23 : 23 \| galway east \| 1977 \| 4 \| None row 24 : 24 \| galway west \| 1937 \| 5 \| None row 25 : 25 \| kerry north \| 1969 \| 3 \| None row 26 : 26 \| kerry south \| 1937 \| 3 \| None row 27 : 27 \| kildare north \| 1997 \| 4 \| 1 row 28 : 28 \| kildare south \| 1997 \| 3 \| None row 29 : 29 \| laois-offaly \| 2007 \| 5 \| 5 row 30 : 30 \| limerick east \| 1948 \| 5 \| None row 31 : 31 \| limerick west \| 1948 \| 3 \| None row 32 : 32 \| longford-westmeath \| 2007 \| 4 \| 4 row 33 : 33 \| louth \| 1923 \| 4 \| None row 34 : 34 \| mayo \| 1997 \| 5 \| None row 35 : 35 \| meath east \| 2007 \| 3 \| 3 row 36 : 36 \| meath west \| 2007 \| 3 \| 3 row 37 : 37 \| roscommon-south leit \| 2007 \| 3 \| 3 row 38 : 38 \| sligo-north leit \| 2007 \| 3 \| 3 row 39 : 39 \| tipperary north \| 1948 \| 3 \| None row 40 : 40 \| tipperary south \| 1948 \| 3 \| None row 41 : 41 \| waterford \| 1923 \| 4 \| None row 42 : 42 \| wexford \| 1921 \| 5 \| None row 43 : 43 \| wicklow \| 1923 \| 5 \| None ] Execute this SQL based on the above table: select count ( * ) where seats < ( select seats where constituency = 'meath west' )	0
[ header: position \| player \| free agency tag \| date signed \| 2013 team row 1 : qb \| josh mccown \| ufa \| march 29 \| chicago bears row 2 : rb \| kahlil bell \| ufa \| august 11 \| new york jets row 3 : og \| lance louis \| ufa \| march 27 \| miami dolphins row 4 : og \| chris spencer \| ufa \| april 1 \| tennessee titans row 5 : og \| chilo rachal \| ufa \| april 10 \| arizona cardinals row 6 : ot \| jonathan scott \| ufa \| march 25 \| chicago bears row 7 : de \| israel idonije \| ufa \| june 25 \| detroit lions row 8 : dt \| amobi okoye \| ufa \| None \| None row 9 : lb \| geno hayes \| ufa \| march 13 \| jacksonville jaguars row 10 : lb \| nick roach \| ufa \| march 15 \| oakland raiders row 11 : cb \| zack bowman \| ufa \| march 15 \| chicago bears row 12 : cb \| d. j. moore \| ufa \| march 19 \| carolina panthers row 13 : s \| troy nolan \| ufa \| july 29 \| tampa bay buccaneers row 14 : k \| olindo mare \| ufa \| None \| None ] Execute this SQL based on the above table: select count ( position ) where position = 'ot'	1
[ header: episode \| original broadcast date \| average \| rank \| remarks row 1 : 1 \| 8 april 2012 \| 1 \| 5 \| this includes bloopers row 2 : 2 \| 15 april 2012 \| 0.91 \| 5 \| None row 3 : 3 \| 22 april 2012 \| 0.92 \| 5 \| None row 4 : 4 \| 29 april 2012 \| 0.76 \| 3 \| None row 5 : 5 \| 6 may 2012 \| 0.67 \| 3 \| None row 6 : 6 \| 13 may 2012 \| 0.67 \| 3 \| None row 7 : 7 \| 20 may 2012 \| 0.64 \| 3 \| None row 8 : 8 \| 27 may 2012 \| 0.7 \| 2 \| None row 9 : 9 \| 3 june 2012 \| 0.58 \| 4 \| None row 10 : 10 \| 10 june 2012 \| 0.6 \| 3 \| None row 11 : 11 \| 17 june 2012 \| 0.81 \| 2 \| None row 12 : 12 \| 24 june 2012 \| 0.66 \| 3 \| None row 13 : 13 \| 1 july 2012 \| 0.86 \| 3 \| None row 14 : average \| average \| 0.75 \| None \| None ] Execute this SQL based on the above table: select original broadcast date where original broadcast date in ( '8 april 2012' , '3 june 2012' ) order by rank desc limit 1	8 april 2012
[ header: religious group \| population % \| growth (1991-2001) \| sex ratio (total) \| literacy (%) \| work participation (%) \| sex ratio (rural) \| sex ratio (urban) \| sex ratio (child) row 1 : hindu \| 80.46% \| 20.3% \| 931 \| 65.1% \| 40.4% \| 944 \| 894 \| 925 row 2 : muslim \| 13.43% \| 29.3% \| 936 \| 59.1% \| 31.3% \| 953 \| 907 \| 950 row 3 : christian \| 2.34% \| 22.6% \| 1009 \| 80.3% \| 39.7% \| 1001 \| 1026 \| 964 row 4 : sikh \| 1.87% \| 18.2% \| 893 \| 69.4% \| 37.7% \| 895 \| 886 \| 786 row 5 : buddhist \| 0.77% \| 18.2% \| 953 \| 72.7% \| 40.6% \| 958 \| 944 \| 942 row 6 : animist, others \| 0.72% \| 103.1% \| 992 \| 47.0% \| 48.4% \| 995 \| 966 \| 976 row 7 : jain \| 0.41% \| 26.0% \| 940 \| 94.1% \| 32.9% \| 937 \| 941 \| 870 ] Execute this SQL based on the above table: select ( select sex ratio (urban) where sex ratio (rural) = 953 ) - ( select sex ratio (urban) where sex ratio (rural) = 958 )	-37.0
[ header: rank \| city \| population (2011) \| population (2001) \| state/territory row 1 : 8 \| surat \| 4462002 \| 2433835 \| gujarat row 2 : 9 \| pune \| 3115431 \| 2538473 \| maharashtra row 3 : 14 \| indore \| 1960631 \| 1474968 \| madhya pradesh row 4 : 21 \| ghaziabad \| 1636068 \| 968256 \| uttar pradesh row 5 : 25 \| faridabad \| 1404653 \| 1055938 \| haryana row 6 : 26 \| meerut \| 1309023 \| 1068772 \| uttar pradesh row 7 : 29 \| vasai-virar \| 1221233 \| None \| maharashtra row 8 : 42 \| vijayawada \| 1048240 \| 851282 \| andhra pradesh row 9 : 44 \| madurai \| 1016885 \| 928869 \| tamil nadu row 10 : 51 \| bareilly \| 898167 \| 718395 \| uttar pradesh row 11 : 53 \| mysore \| 887446 \| 755379 \| karnataka row 12 : 73 \| cuttack \| 606007 \| 534654 \| orissa row 13 : 78 \| durgapur \| 566937 \| 493405 \| west bengal row 14 : 101 \| tirupur \| 444543 \| 344543 \| tamil nadu row 15 : 114 \| muzaffarnagar \| 392451 \| 316729 \| uttar pradesh row 16 : 117 \| latur \| 382754 \| 299985 \| maharashtra row 17 : 123 \| muzaffarpur \| 351838 \| 305525 \| bihar row 18 : 132 \| shahjahanpur \| 327975 \| 296662 \| uttar pradesh row 19 : 135 \| shivamogga (shimoga \| 322428 \| 274352 \| karnataka row 20 : 137 \| junagadh \| 320250 \| 168686 \| gujarat row 21 : 138 \| thrissur \| 315596 \| 317526 \| kerala row 22 : 148 \| bihar sharif \| 296889 \| 232071 \| bihar row 23 : 150 \| darbhanga \| 294116 \| 267348 \| bihar row 24 : 154 \| ichalkaranji \| 287570 \| 257610 \| maharashtra row 25 : 157 \| bathinda \| 285813 \| 217256 \| punjab row 26 : 164 \| sonipat \| 277053 \| 214974 \| haryana row 27 : 165 \| farrukhabad \| 275750 \| 228333 \| uttar pradesh row 28 : 170 \| ratlam \| 264810 \| 222202 \| madhya pradesh row 29 : 189 \| raichur \| 232456 \| 207421 \| karnataka row 30 : 193 \| katihar \| 225982 \| 175169 \| bihar ] Execute this SQL based on the above table: select city where id = ( select id where city = 'thrissur' ) - 1	junagadh
[ header: year \| round \| position \| matches \| wins \| draws \| losses \| gf \| ga row 1 : 1930 to 1990 \| competed as part of yugoslav \| None \| None \| None \| None \| None \| None \| None row 2 : 1994 \| could not enter \| None \| None \| None \| None \| None \| None \| None row 3 : 1998 \| third place \| 3 \| 7 \| 5 \| 0 \| 2 \| 11 \| 5 row 4 : / 2002 \| group stage \| 23 \| 3 \| 1 \| 0 \| 2 \| 2 \| 3 row 5 : 2006 \| group stage \| 22 \| 3 \| 0 \| 2 \| 1 \| 2 \| 3 row 6 : 2010 \| did not qualify \| None \| None \| None \| None \| None \| None \| None row 7 : 2014 \| qualified \| None \| None \| None \| None \| None \| None \| None row 8 : total \| 4/5 \| None \| 13 \| 6 \| 2 \| 5 \| 15 \| 11 ] Execute this SQL based on the above table: select ( select count ( round ) ) > 1696	0
[ header: rd. \| grand prix \| date \| location \| pole position \| fastest lap \| winning driver \| constructor \| report row 1 : 1 \| brazilian grand prix \| 26 march \| jacarepagua \| ayrton senna \| riccardo patrese \| nigel mansell \| ferrari \| report row 2 : 2 \| san marino grand prix \| 23 april \| imola \| ayrton senna \| alain prost \| ayrton senna \| mclaren-honda \| report row 3 : 3 \| monaco grand prix \| 7 may \| monaco \| ayrton senna \| alain prost \| ayrton senna \| mclaren-honda \| report row 4 : 4 \| mexican grand prix \| 28 may \| hermanos rodriguez \| ayrton senna \| nigel mansell \| ayrton senna \| mclaren-honda \| report row 5 : 5 \| united states grand prix \| 4 june \| phoenix \| ayrton senna \| ayrton senna \| alain prost \| mclaren-honda \| report row 6 : 6 \| canadian grand prix \| 18 june \| circuit gilles villeneuve \| alain prost \| jonathan palmer \| thierry boutsen \| williams-renault \| report row 7 : 7 \| french grand prix \| 9 july \| paul ricard \| alain prost \| mauricio gugelmin \| alain prost \| mclaren-honda \| report row 8 : 8 \| british grand prix \| 16 july \| silverstone \| ayrton senna \| nigel mansell \| alain prost \| mclaren-honda \| report row 9 : 9 \| german grand prix \| 30 july \| hockenheimring \| ayrton senna \| ayrton senna \| ayrton senna \| mclaren-honda \| report row 10 : 10 \| hungarian grand prix \| 13 august \| hungaroring \| riccardo patrese \| nigel mansell \| nigel mansell \| ferrari \| report row 11 : 11 \| belgian grand prix \| 27 august \| spa-francorchamps \| ayrton senna \| alain prost \| ayrton senna \| mclaren-honda \| report row 12 : 12 \| italian grand prix \| 10 september \| monza \| ayrton senna \| alain prost \| alain prost \| mclaren-honda \| report row 13 : 13 \| portuguese grand prix \| 24 september \| estoril \| ayrton senna \| gerhard berger \| gerhard berger \| ferrari \| report row 14 : 14 \| spanish grand prix \| 1 october \| jerez \| ayrton senna \| ayrton senna \| ayrton senna \| mclaren-honda \| report row 15 : 15 \| japanese grand prix \| 22 october \| suzuka \| ayrton senna \| alain prost \| alessandro nannini \| benetton-ford \| report row 16 : 16 \| australian grand prix \| 5 november \| adelaide \| ayrton senna \| satoru nakajima \| thierry boutsen \| williams-renault \| report ] Execute this SQL based on the above table: select count ( grand prix ) where date = 'monza'	0
[ header: species \| country of origin \| total released \| first release \| last release \| areas of release \| areas established \| pasture type row 1 : bubas bison \| france, spain \| 1613 \| april 1983 \| 1996 (not by csiro \| wa \| nsw, sa, wa \| winter rainfall row 2 : copris elphenor k \| south africa \| 2287 \| january 1977 \| may 1983 \| qld \| qld \| summer rainfall row 3 : copris hispanus linn \| spain \| 294 \| october 1983 \| june 1994 \| wa \| wa \| winter rainfall row 4 : euoniticellus ful \| france, turkey \| 76944 \| march 1978 \| february 1983 \| nsw, sa, \| nsw, sa, \| winter rainfall row 5 : euoniticellus intermedius \| south africa \| 248637 \| november 1971 \| february 1984 \| act, nsw, nt \| nsw, nt, \| summer rainfall row 6 : onitis aygalus fabrici \| south africa \| 18682 \| january 1977 \| january 1982 \| nsw, sa, wa \| nsw, sa, \| winter rainfall row 7 : onitis caffer boheman \| south africa \| 8738 \| october 1979 \| april 1984 \| wa \| qld, nsw, \| summer rainfall, winter rainfall row 8 : onitis vanderkelleni lans \| kenya, rwanda \| 10852 \| october 1974 \| february 1982 \| nsw, qld \| qld \| summer rainfall row 9 : onthophagus gazella fabricius \| south africa \| 420415 \| february 1968 \| february 1984 \| act, nsw, nt \| act, nsw, nt \| summer rainfall row 10 : onthophagus nigiventri \| east africa \| 29960 \| may 1975 \| march 1983 \| nsw \| nsw \| summer rainfall row 11 : onthophagus obliquus \| nigeria, senegal, \| 9300 \| january 1976 \| november 1977 \| qld, nt \| qld \| summer rainfall row 12 : onthophagus sagittarius \| sri lanka (via \| 9075 \| january 1968 \| march 1977 \| nsw, nt, \| nsw, nt \| summer rainfall row 13 : onthophagus taurus schre \| spain, greece, ita \| 164499 \| february 1975 \| january 1984 \| nsw, sa, \| nsw, sa, \| winter rainfall row 14 : sisyphus spinipes \| south africa \| 36125 \| march 1972 \| december 1978 \| nsw, nt, \| nsw, qld \| summer rainfall ] Execute this SQL based on the above table: select total released where pasture type = 'summer rainfall'	2287, 248637, 10852, 420415, 29960, 9300, 9075, 36125
[ header: tie no \| home team \| score \| away team row 1 : 50 \| sjomarkens if (d \| 1-4 \| bk slatta damm ( row 2 : 53 \| falkopings fk (d4) \| 2-0 \| ganghesters sk (d row 3 : 56 \| lindas bk (d4) \| 1-3 \| hultsfreds f row 4 : 58 \| bredaryds ik ( \| 3-0 \| ulricehamns ifk ( row 5 : 59 \| hovslatts ik \| 0-9 \| tidaholms g row 6 : 60 \| torpa ais (d4) \| 0-2 \| bk zeros (d3) row 7 : 61 \| fiskeby if (wc) \| 2-1 (gg) \| vasterviks ff (d4) row 8 : 62 \| gnosjo if (d4) \| 1-3 \| skovde aik (d row 9 : 63 \| savsjo ff ( \| 5-3 \| skillingaryds is (d4) row 10 : 65 \| lsw if (d4) \| 2-1 \| husqvarna ff (d row 11 : 67 \| rorviks if (d4) \| 0-2 \| lunds bk (d2) row 12 : 69 \| if eksjo (d4) \| 1-4 \| kalmar ff (d2) row 13 : 71 \| bankeryds sk (d4) \| 4-1 \| hjulsbro ik ( row 14 : 73 \| gullspangs if ( \| 0-7 \| rynninge ik (d3) row 15 : 74 \| skara fc (d4) \| 0-4 \| karlslunds if ( row 16 : 75 \| bratens ik (d4) \| 0-4 \| vivalla-lundby if row 17 : 76 \| finnerodja if(d4) \| 3-1 \| ifk mariestad (d4) row 18 : 77 \| skollersta if (d4) \| 1-3 \| hemgardarnas bk (d row 19 : 78 \| simonstorps if (d4) \| 0-5 \| nykopings bis (d2) row 20 : 82 \| harad if (d4) \| 2-3 (gg) \| ifk vasteras (d2) row 21 : 83 \| kolsva if (d4) \| 0-3 \| karlstad bk (d row 22 : 85 \| ransta ik (d4) \| 1-3 \| ifk hallsberg (d4) row 23 : 86 \| skyllbergs ik (wc \| 0-4 \| ifk kristinehamn ( row 24 : 87 \| filipstads ff (d \| 3-1 \| kungsors sk ( row 25 : 89 \| bk hird (d4) \| 0-5 \| hargs bk (d2) row 26 : 91 \| frovi ik (wc) \| 1-9 \| skiljebo sk (d row 27 : 95 \| new mill ff (wc) \| 4-2 \| vartans sk (d3) ] Execute this SQL based on the above table: select tie no where away team = 'ifk vasteras (d2)'	82.0
[ header: defendant \| arrested \| charge \| result \| sentence row 1 : john calvin bartlett \| december 11, 1955 \| infamous crimes against nature \| pleaded guilty \| six years of probation row 2 : charles brokaw \| october 31, 1955 \| lewd conduct with a minor \| pleaded guilty \| six months in prison plus probation row 3 : vernon cassel \| october 31, 1955 \| infamous crimes against nature \| pleaded guilty \| ten years in prison row 4 : ralph cooper \| october 31, 1955 \| lewd conduct with a minor \| pleaded guilty \| life imprisonment. served nine years row 5 : melvin dir \| january 7, 1956 \| lewd conduct with a minor \| pleaded guilty \| five years in prison, suspended. later violates row 6 : charles herbert gordon \| december 11, 1955 \| lewd and lascivious conduct \| pleaded guilty \| 15 years in prison row 7 : gordon larsen \| december 11, 1955 \| infamous crimes against nature \| tried, found guilty \| five years in prison row 8 : paris martin \| december 11, 1955 \| infamous crimes against nature \| tried, found not guilty \| none row 9 : joe moore \| november 14, 1955 \| infamous crimes against nature \| pleaded guilty \| seven years in prison. loses appeal to the row 10 : charles pruett \| december 11, 1955 \| infamous crimes against nature \| pleaded guilty \| five years in prison row 11 : reginald shaffer \| december 11, 1955 \| infamous crimes against nature \| pleaded guilty \| 15 years in prison row 12 : willard wilson \| december 11, 1955 \| infamous crimes against nature \| pleaded guilty \| five years in prison. loses appeal to the ] Execute this SQL based on the above table: select count ( distinct defendant ) where arrested = 999	0
[ header: battle, siege, or offensive \| conflict \| dates \| estimated number of americans killed row 1 : meuse-argonne offensive \| world war i \| september 26 to november 11, 1918 \| 26,277 killed row 2 : battle of the bulge \| world war ii \| december 16, 1944 to january \| 19,276 killed row 3 : battle of okinawa \| world war ii \| april 1 to june 21, \| 12,513 killed row 4 : battle of hurtgen forest \| world war ii \| september 19, 1944 to february 10, 1945 \| over 12,000 killed row 5 : battle of gettysburg \| american civil war \| july 1 to july 3, 18 \| 7,863 killed (3,155 union and 4, row 6 : battle of iwo jima \| world war ii \| february 16 to march 26, 1945 \| 7,000 killed row 7 : battle of anzio \| world war ii \| january 22 to june 5, \| 5,538 killed row 8 : battle of pusan perimeter \| korean war \| august to september, 1950 \| 4,599 killed row 9 : battle of spotsylvania \| american civil war \| may 8 to may 21, 1864 \| 4,192 killed (2,725 union and 1, row 10 : battle of chickamauga \| american civil war \| september 19 to september 20, 1863 \| 3,969 killed (1,657 union and row 11 : battle of the wilderness \| american civil war \| may 5 to may 7, 1864 \| 3,741 killed (2,246 union and row 12 : battle of antietam \| american civil war \| september 17, 1862 \| 3,654 killed (2,108 union and 1,5 row 13 : battle of shiloh \| american civil war \| april 6 to april \| 3,482 killed (1,754 union and row 14 : battle of chancellorsville \| american civil war \| april 30 to may 6, 1863 \| 3,271 killed (1,606 union and row 15 : battle of sicily \| world war ii \| july 9 to august 17, 1943 \| 2,572 killed row 16 : pearl harbor attack \| world war ii \| december 7, 1941 \| 2,500 killed row 17 : battle of salerno \| world war ii \| september 3 - september 16, 1943 \| 2,000 killed row 18 : battle of belleau wood \| world war i \| june 1 to june 26, 1918 \| 1,811 killed row 19 : battle of peleliu \| world war ii \| september 15 to november 27, 1944 \| 1,794 killed row 20 : second battle of guam \| world war ii \| july 21 to august 8, 1944 \| 1,747 killed row 21 : battle of tarawa \| world war ii \| november 20 to november 23, 1943 \| 1,677 killed row 22 : d-day (first day of operation over \| world war ii \| june 6, 1944 \| 1,465 killed row 23 : battle of chosin reservoir \| korean war \| november 27 to december 13, 1950 \| 1,029 killed row 24 : battle for manila \| world war ii \| february 3 to march 3, 1945 \| 1,010 killed row 25 : battle of the kasserine pass \| world war ii \| february 19 to february 25, 1943 \| over 1,000 killed row 26 : battle of taejon \| korean war \| july 14 to july 21, 1950 \| 922 killed row 27 : battle of khe sanh \| vietnam war \| 21 january to 8 apri \| 737 killed ] Execute this SQL based on the above table: select count ( conflict ) where conflict = 'world war ii'	14
[ header: class \| type \| ships \| displacement \| note row 1 : rari class \| tug supply vessel \| a635 revi \| 1,450 tonnes \| None row 2 : malabar class \| ocean going tug \| a664 malabar a6 \| 1,440 tonnes \| ice-breaking capabilities to 2 meters level row 3 : ut507 class \| salvage tug \| abeille flandre abeille languedoc \| 1,500 tonnes \| chartered row 4 : ut515 class \| salvage tug \| abeille bourbon abeille libert \| 4,000 tonnes \| chartered row 5 : ut710 class \| support, assistance, pollution control vessel \| argonaute jason \| 2,100 tonnes \| chartered, configured to accommodate nato row 6 : ut711 class \| support, assistance, pollution control vessel \| alcyon ailette \| 2,000 tonnes \| chartered row 7 : None \| training ships \| vn partisan \| 2,250 tonnes \| chartered row 8 : None \| training ships \| vn rebel \| None \| chartered ] Execute this SQL based on the above table: select type order by displacement desc limit 1	salvage tug
[ header: year \| round \| position \| matches \| wins \| draws \| losses \| gf \| ga row 1 : 1930 to 1990 \| competed as part of yugoslav \| None \| None \| None \| None \| None \| None \| None row 2 : 1994 \| could not enter \| None \| None \| None \| None \| None \| None \| None row 3 : 1998 \| third place \| 3 \| 7 \| 5 \| 0 \| 2 \| 11 \| 5 row 4 : / 2002 \| group stage \| 23 \| 3 \| 1 \| 0 \| 2 \| 2 \| 3 row 5 : 2006 \| group stage \| 22 \| 3 \| 0 \| 2 \| 1 \| 2 \| 3 row 6 : 2010 \| did not qualify \| None \| None \| None \| None \| None \| None \| None row 7 : 2014 \| qualified \| None \| None \| None \| None \| None \| None \| None row 8 : total \| 4/5 \| None \| 13 \| 6 \| 2 \| 5 \| 15 \| 11 ] Execute this SQL based on the above table: select count ( * ) where round = 'None'	0
[ header: party \| diet representation representatives \| diet representation councillors \| party leader(s) \| comments row 1 : your party (yp) minna no \| 18 \| 18 \| yoshimi watana \| conservative liberalism, neoliberalism row 2 : japanese communist party (j \| 8 \| 11 \| kazuo shii reps \| the japanese communist party is row 3 : people's life party (plp) \| 7 \| 2 \| ichiro ozawa reps \| life party was founded by ichiro row 4 : social democratic party (sdp) s \| 2 \| 3 \| mizuho fukushima co \| sdp is a social democratic party row 5 : green wind midori no kaze みとりの風 \| 2 \| 0 \| kuniko tanioka co \| a house of councillors parliamentary group row 6 : new party daichi - true democrat \| 1 \| 0 \| muneo suzuki \| founded in december 2011 by new party da row 7 : new renaissance party (n \| 0 \| 1 \| yoichi masuzo \| conservatism, neoliberalism row 8 : okinawa socialist masses party (os \| 0 \| 1 \| keiko itokazu coun \| social democracy, okinawa regionalism ] Execute this SQL based on the above table: select min ( diet representation councillors ) - 11 where diet representation councillors > 11	7.0
[ header: pos \| team \| total \| high \| low \| average \| change row 1 : 1 \| honda motor \| 13178 \| 3305 \| 402 \| 879 \| -11.9% row 2 : 2 \| sc tottori \| 12281 \| 2124 \| 401 \| 819 \| None row 3 : 3 \| ntt west kumamoto \| 10394 \| 1378 \| 324 \| 693 \| None row 4 : 4 \| ehime fc \| 9896 \| 1250 \| 348 \| 660 \| None row 5 : 5 \| tochigi sc \| 9723 \| 1141 \| 285 \| 648 \| -38.2% row 6 : 6 \| otsuka pharmaceuticals \| 8975 \| 2391 \| 284 \| 598 \| +18.4% row 7 : 7 \| ykk fc \| 8093 \| 2477 \| 198 \| 540 \| None row 8 : 8 \| sony sendai \| 7817 \| 886 \| 342 \| 521 \| -52.3% row 9 : 9 \| yokogawa fc \| 7334 \| 1198 \| 240 \| 489 \| -30.4% row 10 : 10 \| alo's hokuriku \| 6380 \| 1801 \| 180 \| 425 \| -12.1% row 11 : 11 \| jatco fc \| 6329 \| 1075 \| 167 \| 422 \| -36.7% row 12 : 12 \| sagawa express \| 5365 \| 1054 \| 48 \| 358 \| None row 13 : 13 \| denso sc \| 5344 \| 831 \| 119 \| 356 \| -17.7% row 14 : 14 \| kyoken kyoto \| 5262 \| 468 \| 203 \| 351 \| -9.0% row 15 : 15 \| shizuoka sangyo university \| 4013 \| 803 \| 101 \| 268 \| -48.8% row 16 : 16 \| kokushikan university \| 3298 \| 414 \| 54 \| 220 \| -28.3% row 17 : None \| league total \| 123682 \| 3305 \| 48 \| 515 \| -42.8% ] Execute this SQL based on the above table: select low where change = '-42.8%'	48
[ header: administrative area \| area km2 \| area sq mi \| population \| administrative centre row 1 : saint helena \| 122 \| 47 \| 5809 \| jamestown row 2 : ascension island \| 91 \| 35 \| 1532 \| georgetown row 3 : tristan da cunha \| 184 \| 71 \| 388 \| edinburgh of the seven seas row 4 : tristan da cunha \| 98 \| 38 \| 382 \| edinburgh of the seven seas row 5 : inaccessible island \| 14 \| 5 \| 0 \| denstone hut row 6 : nightingale island \| 3.2 \| 1 \| 0 \| west landing row 7 : gough island \| 68 \| 26 \| 6 \| transvaal bay row 8 : total \| 397 \| 153 \| 7729 \| jamestown ] Execute this SQL based on the above table: select area sq mi where area sq mi != 1 and population = ( select population where area sq mi = 1 )	5
[ header: team \| wins \| losses \| win % \| gb row 1 : detroit tigers \| 104 \| 58 \| .642 \| 0 row 2 : toronto blue jays \| 89 \| 73 \| .549 \| 15.0 row 3 : new york yankees \| 87 \| 75 \| .537 \| 17.0 row 4 : boston red sox \| 86 \| 76 \| .531 \| 18.0 row 5 : baltimore orioles \| 85 \| 77 \| .525 \| 19.0 row 6 : cleveland indians \| 75 \| 87 \| .463 \| 29.0 row 7 : milwaukee brewers \| 67 \| 94 \| .416 \| 36.5 ] Execute this SQL based on the above table: select count ( win % ) where win % < '.531'	3
[ header: year \| song \| chart positions us country \| chart positions can country \| album row 1 : 1968 \| "god help you woman" \| 32 \| 24 \| singles only row 2 : 1969 \| "please take me back" \| 40 \| None \| singles only row 3 : 1969 \| "i'm not through loving you" \| 52 \| None \| singles only row 4 : 1969 \| "molly" \| 53 \| None \| singles only row 5 : 1973 \| "i see his love all over you" \| 67 \| None \| singles only row 6 : 1974 \| "fool passin' through" \| 68 \| None \| singles only row 7 : 1974 \| "forgettin' 'bout \| 51 \| None \| singles only row 8 : 1975 \| "one, two, three (never \| 88 \| None \| singles only row 9 : 1975 \| "woman, woman" \| 43 \| 46 \| singles only row 10 : 1976 \| "she's free but she's \| 66 \| None \| singles only row 11 : 1977 \| "chasin' my tail" \| 88 \| None \| singles only row 12 : 1977 \| "don't let my love stand in your \| 86 \| None \| singles only row 13 : 1983 \| "when you're not a lady" \| 16 \| None \| the man in the mirror row 14 : 1983 \| "you got me running" \| 28 \| None \| the man in the mirror row 15 : 1983 \| "the man in the mirror" \| 17 \| None \| the man in the mirror row 16 : 1984 \| "if i could only dance with you" \| 10 \| 10 \| the man in the mirror row 17 : 1984 \| "you're gettin' to me \| 1 \| 3 \| the man in the mirror row 18 : 1984 \| "let me down easy" \| 16 \| 33 \| the man in the mirror row 19 : 1985 \| "i'll be your fool tonight" \| 54 \| None \| past the point of no return row 20 : 1985 \| "in another minute" \| 27 \| None \| past the point of no return row 21 : 1986 \| "if i don't love you" \| 53 \| None \| past the point of no return row 22 : 1986 \| "the lights of albuquerque" \| 40 \| None \| everybody knows i'm yours ] Execute this SQL based on the above table: select count ( album ) where chart positions can country >= 681	0
[ header: player \| rec. \| yards \| avg. \| td's \| long row 1 : charles frederick \| 115 \| 1385 \| 12 \| 27 \| 42 row 2 : jerel myers \| 104 \| 1183 \| 11.4 \| 21 \| 38 row 3 : anthony hines \| 58 \| 822 \| 14.2 \| 12 \| 39 row 4 : boo williams \| 45 \| 474 \| 10.5 \| 17 \| 35 row 5 : ira gooch \| 24 \| 339 \| 14.1 \| 6 \| 32 row 6 : sam simmons \| 15 \| 197 \| 13.1 \| 2 \| 30 row 7 : kevin beard \| 10 \| 87 \| 8.7 \| 0 \| 21 row 8 : dawan moss \| 7 \| 39 \| 5.6 \| 1 \| 12 row 9 : cyron brown \| 3 \| 17 \| 5.7 \| 1 \| 8 row 10 : larrell johnson \| 3 \| 14 \| 4.7 \| 0 \| 6 row 11 : jamarr wood \| 1 \| 13 \| 13 \| 0 \| 13 row 12 : cecil moore \| 2 \| 9 \| 4.5 \| 2 \| 8 row 13 : raymond philyaw \| 1 \| -6 \| -6 \| 0 \| -6 ] Execute this SQL based on the above table: select td's where player = 'dawan moss'	1.0
[ header: county \| obama% \| obama# \| mccain% \| mccain# \| total row 1 : andrew \| 38.8% \| 3345 \| 61.2% \| 5279 \| 8624 row 2 : audrain \| 41.8% \| 4434 \| 58.2% \| 6167 \| 10601 row 3 : barry \| 32.2% \| 4630 \| 67.8% \| 9758 \| 14388 row 4 : boone \| 56.1% \| 47062 \| 43.9% \| 36849 \| 83911 row 5 : buchanan \| 50.1% \| 19164 \| 49.9% \| 19110 \| 38274 row 6 : carroll \| 34.2% \| 1535 \| 65.8% \| 2955 \| 4490 row 7 : carter \| 34.8% \| 984 \| 65.2% \| 1840 \| 2824 row 8 : cedar \| 32.9% \| 2060 \| 67.1% \| 4194 \| 6254 row 9 : clay \| 49.7% \| 53761 \| 50.3% \| 54516 \| 108277 row 10 : cooper \| 37.9% \| 2996 \| 62.1% \| 4902 \| 7898 row 11 : dekalb \| 36.9% \| 1692 \| 63.1% \| 2889 \| 4581 row 12 : douglas \| 32.7% \| 2140 \| 67.3% \| 4405 \| 6545 row 13 : gentry \| 38.6% \| 1235 \| 61.4% \| 1964 \| 3199 row 14 : greene \| 42.0% \| 56181 \| 58.0% \| 77683 \| 133864 row 15 : grundy \| 34.5% \| 1580 \| 65.5% \| 3006 \| 4586 row 16 : hickory \| 43.2% \| 2171 \| 56.8% \| 2850 \| 5021 row 17 : howard \| 42.9% \| 2036 \| 57.1% \| 2708 \| 4744 row 18 : howell \| 34.3% \| 5736 \| 65.7% \| 10982 \| 16718 row 19 : jefferson \| 51.3% \| 53467 \| 48.7% \| 50804 \| 104271 row 20 : knox \| 38.5% \| 759 \| 61.5% \| 1212 \| 1971 row 21 : lewis \| 41.5% \| 1837 \| 58.5% \| 2594 \| 4431 row 22 : lincoln \| 44.2% \| 10234 \| 55.8% \| 12924 \| 23158 row 23 : livingston \| 37.9% \| 2435 \| 62.1% \| 3993 \| 6428 row 24 : madison \| 41.3% \| 2042 \| 58.7% \| 2897 \| 4939 row 25 : maries \| 35.9% \| 1599 \| 64.1% \| 2853 \| 4452 row 26 : marion \| 37.9% \| 4703 \| 62.1% \| 7705 \| 12408 row 27 : mercer \| 30.7% \| 519 \| 69.3% \| 1169 \| 1688 row 28 : miller \| 31.3% \| 3553 \| 68.7% \| 7797 \| 11350 row 29 : moniteau \| 31.8% \| 2084 \| 68.2% \| 4467 \| 6551 row 30 : montgomery \| 40.6% \| 2347 \| 59.4% \| 3428 \| 5775 row 31 : morgan \| 39.5% \| 3565 \| 60.5% \| 5451 \| 9016 row 32 : oregon \| 40.6% \| 1811 \| 59.4% \| 2652 \| 4463 row 33 : pike \| 45.0% \| 3487 \| 55.0% \| 4268 \| 7755 row 34 : polk \| 33.7% \| 4553 \| 66.3% \| 8956 \| 13509 row 35 : scotland \| 38.8% \| 793 \| 61.2% \| 1249 \| 2042 row 36 : st. clair \| 38.8% \| 1886 \| 61.2% \| 2981 \| 4867 ] Execute this SQL based on the above table: select ( select total where county = 'mercer' ) - ( select total where county = 'jefferson' )	-102583.0
[ header: year \| name of show \| episodes \| other guests \| winner(s) row 1 : 1997 \| super trio series 2: movie buff championship \| 18 \| florence kwok, jo \| charmaine sheh row 2 : 2000 \| the super trio show \| 6 \| julian cheung, calvin \| charmaine sheh, julian che row 3 : 2002 \| a trio delights \| 3 \| timmy hung, ken wong \| louis yuen row 4 : 2004 \| the super trio continues \| 7 \| michael tao, \| charmaine sheh, michael row 5 : 2007 \| foodie 2 shoes \| 19, 20 \| chin ka lok, e \| charmaine sheh, chin ka row 6 : 2008 \| super trio supreme \| 1 \| bosco wong, michael mi \| charmaine sheh, cutie mui row 7 : 2009 \| are you smarter than a 5th grade \| 05, 06 \| None \| hk$175,000 (levels 8 row 8 : 2010 \| super trio game master \| 20 \| moses chan, kenneth ma \| tie row 9 : 2011 \| all star glam exam \| 8 \| ekin cheng, eric \| charmaine sheh ] Execute this SQL based on the above table: select other guests where year > ( select year where name of show = 'the super trio show' )	timmy hung, ken wong, stephanie che, louis yuen, cutie mui, michael tao, kenix kwok, cheung tat-ming, wong ceng, nnadia chan, chin ka lok, edmond leung, vanessa yeung, bosco wong, michael miu, cutie mui, johnny tang, krystal tin, tiffany hew, cleo tay, crystal wong, moses chan, kenneth ma, raymond wong, lee heung kam, louis yuen, selena li, susan tse, lee kwok leung, edwin siu, elaine yiu, yoyo chen, charmaine li, ekin cheng, eric kot, fala chen
[ header: name \| egot completed \| emmy \| grammy \| oscar \| tony row 1 : richard rodgers \| 1962 (17 years) \| 1962 \| 1960 \| 1945 \| 1950 row 2 : helen hayes \| 1977 (45 years) \| 1953 \| 1977 \| 1932 \| 1947 row 3 : rita moreno \| 1977 (16 years) \| 1977 \| 1972 \| 1961 \| 1975 row 4 : john gielgud \| 1991 (30 years) \| 1991 \| 1979 \| 1981 \| 1961 row 5 : audrey hepburn \| 1994 (41 years) \| 1993 \| 1994 \| 1953 \| 1954 row 6 : marvin hamlisch \| 1995 (23 years) \| 1995 \| 1974 \| 1973 \| 1976 row 7 : jonathan tunick \| 1997 (20 years) \| 1982 \| 1988 \| 1977 \| 1997 row 8 : mel brooks \| 2001 (34 years) \| 1967 \| 1998 \| 1968 \| 2001 row 9 : mike nichols \| 2001 (40 years) \| 2001 \| 1961 \| 1967 \| 1964 row 10 : whoopi goldberg \| 2002 (17 years) \| 2002 \| 1985 \| 1990 \| 2002 row 11 : scott rudin \| 2012 (28 years) \| 1984 \| 2012 \| 2007 \| 1994 row 12 : robert lopez \| 2014 (10 years) \| 2008 \| 2012 \| 2014 \| 2004 ] Execute this SQL based on the above table: select name where name = 'john gielgud'	john gielgud
[ header: name \| location \| city \| listing date row 1 : branch county courthouse informational site \| 31 division street \| coldwater \| march 16, 1989 row 2 : bronson public library \| 207 matteson street \| bronson \| september 28, 2000 row 3 : chicago road informational designation \| us-12 and prairie river road (park 1.5 miles \| bronson township \| september 17, 1957 row 4 : city of coldwater informational designation \| city park at intersection of us-12 and us- \| coldwater \| april 14, 1961 row 5 : edwin r. clarke library \| 12 east chicago street, between division and \| coldwater \| march 9, 1966 row 6 : dr. hawley harve \| 66 north monroe street \| coldwater \| august 21, 1987 row 7 : east chicago street historic district \| chicago street from wright to division \| coldwater \| july 26, 1974 row 8 : first presbyterian church \| 52 marshall street, ne corner of \| coldwater \| june 15, 1979 row 9 : abram c. fisk house \| 867 east chicago street \| coldwater \| june 15, 1979 row 10 : william p. hurd house \| 601 north broadway \| union city \| july 17, 1981 row 11 : lanphere-pratt house \| 90 division street \| coldwater \| february 23, 1978 row 12 : henry a. locke house \| 140 east division street \| sherwood \| march 19, 1980 row 13 : governor cyrus gray luce home \| northeast corner of division and east washington streets \| coldwater \| august 15, 1975 row 14 : methodist episcopal church \| 126 marshall road \| coldwater \| april 17, 1997 row 15 : general john g. parkhurst house \| 55 north clay street \| coldwater \| june 15, 1979 row 16 : harriet quimby informational designation \| branch county memorial airport \| coldwater \| january 21, 1988 row 17 : quincy township public library \| 11 north main street, just north of us-12 \| quincy \| april 25, 1988 row 18 : state public school at coldwater \| 620 marshall road \| coldwater \| may 13, 1981 row 19 : tibbits opera house \| 14 south hanchett street \| coldwater \| december 11, 1970 row 20 : union city iron furnace \| m-60 near waterworks road \| union township \| february 14, 1963 row 21 : union city methodist episcopal church \| 200 ellen street \| union city \| september 19, 1991 row 22 : lucius m. wing house \| 27 south jefferson street, ne \| coldwater \| october 17, 1974 row 23 : john d. zimmerman house \| 119 east high street \| union city \| september 21, 1983 ] Execute this SQL based on the above table: select count ( distinct name )	23
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1994 \| european championships \| helsinki, finland \| 48th \| marathon \| 2:22:49 row 2 : 1995 \| world championships \| gothenburg, sweden \| 49th \| marathon \| 2:33:42 row 3 : 1996 \| summer olympics \| atlanta, georgia \| 58th \| marathon \| 2:23:14 row 4 : 1997 \| world championships \| athens, greece \| 48th \| marathon \| 2:29:10 row 5 : 1998 \| world cross country championships \| marrakech, morocco \| 85th \| long race \| None row 6 : 1998 \| world half marathon championships \| uster, switzerland \| 66th \| half marathon \| 1:05:00 row 7 : 1998 \| european championships \| budapest, hungary \| 29th \| marathon \| 2:19:38 row 8 : 1999 \| world half marathon championships \| palermo, italy \| 55th \| half marathon \| 1:05:45 row 9 : 1999 \| frankfurt marathon \| frankfurt, germany \| 1st \| marathon \| 2:12:37 row 10 : 1999 \| helsinki marathon \| helsinki, finland \| 1st \| marathon \| 2:19:18 row 11 : 2000 \| summer olympics \| sydney, australia \| 35th \| marathon \| 2:19:41 row 12 : 2001 \| frankfurt marathon \| frankfurt, germany \| 1st \| marathon \| 2:11:09 row 13 : 2002 \| paris marathon \| paris, france \| 2nd \| marathon \| 2:08:53 row 14 : 2002 \| european championships \| munich, germany \| 2nd \| marathon \| 2:13:18 row 15 : 2002 \| fukuoka marathon \| fukuoka, japan \| 4th \| marathon \| 2:10:14 row 16 : 2003 \| joongang seoul marathon \| seoul, south korea \| 1st \| marathon \| 2:09:15 row 17 : 2004 \| summer olympics \| athens, greece \| 26th \| marathon \| 2:18:09 row 18 : 2004 \| joongang seoul marathon \| seoul, south korea \| 1st \| marathon \| 2:09:34 row 19 : 2005 \| joongang seoul marathon \| seoul, south korea \| 4th \| marathon \| 2:12:12 row 20 : 2006 \| paris marathon \| paris, france \| 12th \| marathon \| 2:11:25 row 21 : 2007 \| world championships \| osaka, japan \| None \| marathon \| dnf row 22 : 2007 \| beppu-oita marathon \| beppu-oita, japan \| 8th \| marathon \| 2:14:49 row 23 : 2008 \| summer olympics \| beijing, china \| 75th \| marathon \| 2:39:01 ] Execute this SQL based on the above table: select year where competition = 'summer olympics'	1996, 2000, 2004, 2008
[ 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 ( * ) where length [km] > 387	0
[ header: year \| men's winner \| time (h:m:s) \| women's winner \| time (h:m:s) \| finishers row 1 : 1996 \| zoltan kaldy (h \| 1:04:45 \| simona staicu (hun) \| 1:11:11 \| 1768 row 2 : 1997 \| keita fujino (jp \| 1:03:14 \| sachie ozaki (jp \| 1:11:04 \| 2535 row 3 : 1998 \| seiji hamada (jp \| 1:02:44 \| kazumi kanbayashi (j \| 1:10:37 \| 2703 row 4 : 1999 \| takaki morikawa (jp \| 1:03:28 \| tomoko tamamushi (j \| 1:12:15 \| 3422 row 5 : 2000 \| piotr gladki (pol) \| 1:04:45 \| mihaela botezan (rom) \| 1:10:17 \| 4024 row 6 : 2001 \| sreten ninkovic (y \| 1:04:43 \| beata rakonczai (h \| 1:13:33 \| 3912 row 7 : 2002 \| william kipsang (ken) \| 1:02:59 \| beata rakonczai (h \| 1:13:39 \| 4403 row 8 : 2003 \| miklos zatyko ( \| 1:05:53 \| aniko kalovics (hun) \| 1:11:08 \| 4470 row 9 : 2004 \| sreten ninkovic (s \| 1:06:51 \| aniko kalovics (hun) \| 1:11:18 \| 4601 row 10 : 2005 \| andras juhasz (h \| 1:05:57 \| eszter erdelyi \| 1:16:10 \| 5466 row 11 : 2006 \| barnabas bene (hun) \| 1:06:32 \| aniko kalovics (hun) \| 1:10:46 \| 4964 row 12 : 2007 \| balazs ott (h \| 1:07:19 \| krisztina papp \| 1:12:09 \| 5020 row 13 : 2008 \| roberto pasquale ruti \| 1:07:22 \| beata rakonczai (h \| 1:14:38 \| 4930 row 14 : 2009 \| erkolo ashenafi ( \| 1:07:24 \| krisztina papp \| 1:15:27 \| 4848 row 15 : 2010 \| laszlo toth (hun \| 1:04:38 \| krisztina papp \| 1:13:13 \| 5520 row 16 : 2011 \| tamas kovacs (h \| 1:06:03 \| aniko kalovics (hun) \| 1:15:04 \| 6203 row 17 : 2012 \| gabor jozsa (hun \| 1:06:36 \| krisztina papp \| 1:15:07 \| 6751 row 18 : 2013 \| henry kemboi (ken) \| 1:05:53 \| krisztina papp \| 1:12:32 \| 7436 ] Execute this SQL based on the above table: select finishers where women's winner = 'aniko kalovics (hun)' and women's winner > 755	4470, 4601, 4964, 6203
[ header: year \| film \| role \| co-star \| director \| notes row 1 : 2004 \| bachelor \| None \| None \| mostofa sarwar farook \| special appearance row 2 : 2010 \| dubshatar \| renu \| shehzad chowdhury \| nurul alam atik \| first debut film daily star celebrating life-best actress row 3 : 2011 \| firey esho behula \| tanima \| intekhab deenar, shahid \| tanim noor \| None row 4 : 2011 \| guerrilla \| bilkis banu \| ferdous ahmed, \| nasiruddin yousuff \| national film award meril prothom al row 5 : 2012 \| chorabali \| noboni afroz \| indraneil sengupt \| redwan rony \| national film award meril prothom al row 6 : 2013 \| aborto \| charu sen \| tota roy chowdhur \| arindam sil \| first debut film in tollywood row 7 : 2013 \| purnodoirgho prem \| jara/zara \| shakib khan, arefin \| shafi uddin sha \| first film with shakib khan row 8 : 2014 \| parle theka (filming) \| None \| sushama sarkar \| maruf hasan \| None row 9 : 2014 \| zero degree (filming) \| sonia \| mahfuz ahmed, r \| animesh aich \| None ] Execute this SQL based on the above table: select year where role = 'tanima'	2011
[ header: goal \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 8 october 2010 \| ferenc puskas, bud \| san marino \| 2-0 \| 8-0 \| euro 2012 qualifying row 2 : 2 \| 8 october 2010 \| ferenc puskas, bud \| san marino \| 4-0 \| 8-0 \| euro 2012 qualifying row 3 : 3 \| 8 october 2010 \| ferenc puskas, bud \| san marino \| 5-0 \| 8-0 \| euro 2012 qualifying row 4 : 4 \| 12 october 2010 \| olympic stadium, hel \| finland \| 0-1 \| 1-2 \| euro 2012 qualifying row 5 : 5 \| 29 february 2012 \| eto park, gyor, \| bulgaria \| 1-0 \| 1-1 \| friendly row 6 : 6 \| 7 september 2012 \| estadi comunal, andorr \| andorra \| 3-0 \| 5-0 \| 2014 world cup qualification row 7 : 7 \| 16 october 2012 \| ferenc puskas, bud \| turkey \| 2-1 \| 3-1 \| 2014 world cup qualification ] Execute this SQL based on the above table: select goal where date = '16 october 2012' order by goal limit 1844	7.0
[ header: outcome \| edition \| round \| opponent team \| surface \| opponent \| score row 1 : loser \| 2010 \| world group playoffs \| slovakia \| clay (i) \| daniela hantuchova \| 6-2, 6-2 row 2 : winner \| 2010 \| world group playoffs \| slovakia \| clay (i) \| magdalena rybarikova \| 6-1, 7-6(7-4) row 3 : winner \| 2011 \| world group ii \| canada \| hard (i) \| aleksandra wozniak \| 6-4, 7-5 row 4 : winner \| 2011 \| world group ii \| canada \| hard (i) \| rebecca marino \| 7-6(7-3), 6-3 row 5 : loser \| 2011 \| world group playoffs \| slovakia \| clay (i) \| dominika cibulkova \| 6-4, 3-6, 1-6 row 6 : loser \| 2012 \| world group \| belgium \| hard (i) \| yanina wickmayer \| 4-6, 4-6 row 7 : winner \| 2012 \| world group \| belgium \| hard (i) \| kirsten flipkens \| 6-2, 6-4 ] Execute this SQL based on the above table: select round where edition = ( select edition where round = 'world group playoffs' ) + 1	world group ii, world group ii, world group playoffs
[ header: year \| place \| gold \| silver \| bronze row 1 : 1962 \| cairo \| mercedes mata (ven) \| marjorie annan (usa) \| elena shebashova (urs row 2 : 1966 \| wiesbaden \| claudia smirnova (urs \| mercedes garcia (ven) \| michele valery (fra) row 3 : 1967 \| bologna \| larisa gurvich (urs \| claudia smirnova (urs \| mirella lenzini (ita) row 4 : 1970 \| phoenix \| larissa korchinskaya (urs \| nuria ortiz (mex \| kari linden (nor) row 5 : 1971 \| bologna \| nuria ortiz (mex \| larissa korchinskaya (urs \| kari linden (nor) row 6 : 1974 \| bern \| larissa korchinskaya (urs \| saskia brixner ( \| evior melander (swe) row 7 : 1975 \| munich \| larisa gurvich (urs \| pinky le grelle (bel) \| ruth jordan (frg row 8 : 1977 \| antibes \| ruth jordan (frg \| ila hill (usa) \| bianca rosa hansberg row 9 : 1979 \| montecatini terme \| bianca rosa hansberg \| larisa gurvich (urs \| svetlana yakimova row 10 : 1981 \| tucuman \| lanying wu (chn) \| ila hill (usa) \| bianca rosa hansberg row 11 : 1982 \| caracas \| svetlana yakimova \| meimei feng (chn) \| weiping shao (chn) row 12 : 1986 \| suhl \| svetlana demina ( \| michaela rink (frg \| connie schiller (usa) row 13 : 1987 \| valencia \| meimei feng (chn) \| bonnie mc laurin (us \| nuria ortiz (mex row 14 : 1989 \| montecatini terme \| shan zhang (chn) \| antonella parrini (it \| erzsebet vasvari row 15 : 1991 \| perth \| jong ran pak (prk \| svetlana demina ( \| erzsebet vasvari row 16 : 1994 \| fagnano \| erdzhanik avetisyan \| diana igaly (hun) \| daniela bolis (ita row 17 : 1999 \| tampere \| erdzhanik avetisyan \| cristina vitali (ita) \| svetlana demina ( row 18 : 2001 \| cairo \| zemfira meftakhe \| olga panarina ( \| cristina vitali (ita) row 19 : 2002 \| lahti \| diana igaly (hun) \| andrea stranovska (svk \| elena little (gbr) row 20 : 2003 \| nicosia \| ning wei (chn) \| katiuscia spada (it \| diana igaly (hun) ] Execute this SQL based on the above table: select silver order by year desc limit 1	katiuscia spada (ita)
[ header: \| name \| took office \| left office \| party row 1 : 1 \| vasso papandreou \| 21 february 1996 \| 19 february 1999 \| panhellenic socialist movement row 2 : 2 \| evangelos venizelos \| 19 february 1999 \| 13 april 2000 \| panhellenic socialist movement row 3 : 3 \| nikos christodoulaki \| 13 april 2000 \| 24 october 2001 \| panhellenic socialist movement row 4 : 4 \| akis tsochatzo \| 24 october 2001 \| 10 march 2004 \| panhellenic socialist movement row 5 : 5 \| dimitris sioufas \| 10 march 2004 \| 19 september 2007 \| new democracy row 6 : 6 \| christos folias \| 19 september 2007 \| 8 january 2009 \| new democracy row 7 : 7 \| kostis hatzidakis \| 8 january 2009 \| 7 october 2009 \| new democracy ] Execute this SQL based on the above table: select where party = 'new democracy'	5, 6, 7
[ header: name of place \| counties \| principal county \| lower zip code row 1 : campbell hall \| 1 \| orange county \| 10916 row 2 : canaan \| 1 \| columbia county \| 12029 row 3 : canajoharie \| 1 \| montgomery county \| None row 4 : canoe place \| 1 \| suffolk county \| 11946 row 5 : careys corners \| 1 \| oneida county \| None row 6 : carman \| 1 \| schenectady county \| 12303 row 7 : carpenters corners \| 1 \| fulton county \| None row 8 : cass \| 1 \| erie county \| 14206 row 9 : castle point \| 1 \| dutchess county \| 12511 row 10 : catfish corners \| 1 \| oswego county \| None row 11 : catskill (town) \| 1 \| greene county \| 12414 row 12 : cayuta \| 1 \| schuyler county \| 14824 row 13 : cedar hill \| 1 \| albany county \| 12158 row 14 : cedarville station \| 1 \| herkimer county \| None row 15 : central nyack \| 1 \| rockland county \| 10960 row 16 : chase lake \| 1 \| lewis county \| 13343 row 17 : chelsea \| 1 \| dutchess county \| 12512 row 18 : chemung \| 1 \| chemung county \| None row 19 : chili junction \| 1 \| monroe county \| None row 20 : chittenango springs \| 1 \| madison county \| None row 21 : churchville \| 1 \| monroe county \| 14428 row 22 : clarkson \| 1 \| monroe county \| 14430 row 23 : claverack \| 1 \| columbia county \| None row 24 : clifton heights \| 1 \| erie county \| 14085 row 25 : clinton county airport \| 1 \| clinton county \| None row 26 : coldbrook \| 1 \| erie county \| 14072 row 27 : colemans mills \| 1 \| oneida county \| 13492 row 28 : coleman station \| 1 \| dutchess county \| None row 29 : colonial acres \| 1 \| albany county \| 12077 row 30 : colonial acres \| 1 \| westchester county \| 10583 row 31 : columbus quarter \| 1 \| chenango county \| None row 32 : como \| 1 \| cayuga county \| None row 33 : congers \| 1 \| rockland county \| 10920 row 34 : connelly park \| 1 \| chautauqua county \| 14710 row 35 : conquest \| 1 \| cayuga county \| None row 36 : cooperstown junction \| 1 \| otsego county \| 12116 row 37 : craterclub \| 1 \| essex county \| 12936 row 38 : crescent beach \| 1 \| monroe county \| 14612 row 39 : crestwood \| 1 \| westchester county \| 10707 row 40 : crestwood \| 1 \| westchester county \| None row 41 : crittenden \| 1 \| erie county \| 14038 row 42 : croghan \| 1 \| lewis county \| 13327 row 43 : croghan \| 1 \| lewis county \| None ] Execute this SQL based on the above table: select count ( principal county ) where principal county = 'erie county'	4
[ header: year \| track \| number \| team \| car \| round result row 1 : 1996 \| pukekohe park raceway \| 1 \| holden racing team \| holden vr commodore \| 1st row 2 : 2001 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vx commodore \| 1st row 3 : 2002 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vx commodore \| 1st row 4 : 2003 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vy commodore \| 1st row 5 : 2004 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vy commodore \| 3rd row 6 : 2005 \| pukekohe park raceway \| 51 \| paul weel racing \| holden vz commodore \| 1st row 7 : 2006 \| pukekohe park raceway \| 51 \| paul weel racing \| holden vz commodore \| 15th row 8 : 2007 \| pukekohe park raceway \| 51 \| tasman motorsport \| holden ve commodore \| 11th row 9 : 2008 \| hamilton street circuit \| 51 \| tasman motorsport \| holden ve commodore \| 25th row 10 : 2009 \| hamilton street circuit \| 51 \| tasman motorsport \| holden ve commodore \| 22nd row 11 : 2010 \| hamilton street circuit \| 51 \| paul morris motorsport \| holden ve commodore \| 14th row 12 : 2011 \| hamilton street circuit \| 11 \| pepsi max crew \| holden ve commodore \| 24th row 13 : 2012 \| hamilton street circuit \| 51 \| pepsi max crew \| holden ve commodore \| 24th ] Execute this SQL based on the above table: select track where id = ( select id where track = 'pukekohe park raceway' ) + 1	pukekohe park raceway
[ header: name \| developer \| release \| type \| game flow \| setting row 1 : 8realms \| jagex \| 2011 (now closed) \| strategy \| real-time \| empire building row 2 : adventure quest worlds \| artix entertainment \| 2008 \| mmorpg \| real-time \| rpg row 3 : blood wars \| bw team \| 2006 \| mmorpg \| real-time \| post-apocalyptic world row 4 : business tycoon online \| dovogame llc \| 2009 \| mmorpg \| real-time \| fantasy/business simulation row 5 : castle marrach \| skotos \| 2001 \| role-playing \| real-time \| fantasy/storytelling row 6 : club penguin \| new horizon entertainment/disney \| 2005 \| social networking \| real-time \| antarctica row 7 : dead frontier \| neil yates \| 2008 \| mmorpg, third-person shoot \| real-time \| post-apocalyptic world row 8 : doomlord \| beholder kft \| 2008 \| rpg \| real-time \| fantasy row 9 : earth eternal \| sparkplay media \| 2009 \| mmorpg \| real-time \| fantasy row 10 : echo bazaar! \| failbetter games \| 2009 \| rpg \| turn-based \| gothic fantasy/steampunk row 11 : fusionfall \| cartoon network/grigon entertainment \| 2009 \| mmorpg \| real-time \| science fiction row 12 : legends of zork \| jolt online gaming \| 2009-2011 (now closed) \| role-playing \| turn-based \| fantasy/humorous row 13 : lord of ultima \| electronic arts \| 2010 \| strategy \| real-time \| fantasy row 14 : miniconomy \| trade games international bv \| 2002 \| strategy \| real-time \| contemporary/country building row 15 : nationstates \| max barry \| 2002 \| strategy \| real-time \| contemporary/country building row 16 : neopets \| viacom \| 1999 \| strategy, simulation \| real-time \| virtual pet site row 17 : pardus \| bayer&szell oeg \| 2004 \| strategy \| turn-based \| science fiction row 18 : pirate galaxy \| splitscreen studios \| 2000 \| role-playing \| real-time \| science fiction row 19 : planetarion \| fubra \| 2000 \| strategy \| turn-based \| science fiction row 20 : quick hit football \| play hard sports \| 2009 \| sports game \| None \| sports/american football row 21 : raceconflicts \| raceconflicts \| 2004 \| mmorpg \| turn-based \| fantasy row 22 : sentou gakuen \| pst team \| 2012 \| mmorpg, visual novel \| real-time \| school life row 23 : threechess \| rs consult bg lt \| 2010 \| strategy \| turn-based \| chess variant row 24 : transformice \| tigrounette, melibell \| 2010 \| platform game \| real-time \| mmog row 25 : travian \| travian games \| 2004 \| mmorts, strategy \| real-time \| antiquity/empire building row 26 : urban dead \| kevan davis \| 2005 \| mmorpg \| turn-based \| contemporary/zombies row 27 : tribal wars \| inno games \| 2003 \| strategy \| real-time \| empire building ] Execute this SQL based on the above table: select release where setting = 'antarctica'	2005
[ header: # \| name \| height \| weight (lbs.) \| position \| class \| hometown \| previous team(s) row 1 : 1 \| aaron johnson \| 5'8" \| 185 \| g \| sr \| chicago, il, u. \| hubbard hs row 2 : 3 \| anthony criswell \| 6'9" \| 230 \| f \| fr \| oklahoma city, ok, \| douglass high school row 3 : 4 \| jamarr sanders \| 6'4" \| 210 \| g \| sr \| montgomery, al, u. \| jeff davis high school nw row 4 : 5 \| robert williams \| 6'4" \| 210 \| g \| fr \| greenville, ms, u. \| weston high school row 5 : 10 \| karl moton \| 5'11" \| 195 \| g \| so \| stone mountain, ga, u.s \| chamblee hs row 6 : 21 \| beas hamga \| 6'11" \| 230 \| c \| jr \| douala, cameroon \| weatherford (texas) cc row 7 : 22 \| cameron moore \| 6'10" \| 230 \| f \| jr \| san antonio, \| roosevelt h row 8 : 23 \| dexter fields \| 6'2" \| 205 \| g \| so \| orlando, fl, \| olympia hs row 9 : 24 \| preston purifoy \| 6'5" \| 215 \| g \| fr \| conway, ar, u.s \| conway high school row 10 : 32 \| ovie soko \| 6'8" \| 210 \| f \| so \| london, england, \| bethel hs row 11 : 2 \| mike jones \| 6'1" \| 185 \| g \| sr \| nashville, tn, \| hunters lane high school row 12 : 25 \| quincy taylor \| 6'0" \| 185 \| g \| fr \| wichita, ks, \| wichita collegiate high school row 13 : 44 \| jordan swing \| 6'6" \| 200 \| f \| so \| birmingham, al, u. \| western kentucky university ] Execute this SQL based on the above table: select count ( * ) where height > 10	0
[ header: tournament \| 2001 \| 2002 \| 2003 \| 2004 \| 2005 \| 2006 \| 2007 \| 2008 \| 2009 \| 2010 \| 2011 \| 2012 \| 2013 \| 2014 \| w-l row 1 : australian open \| a \| a \| a \| a \| a \| a \| q3 \| a \| q3 \| 4r \| 2r \| 1r \| 1r \| 1r \| 3-5 row 2 : french open \| a \| a \| a \| a \| a \| a \| q1 \| a \| 1r \| 1r \| 3r \| 3r \| 2r \| None \| 5-5 row 3 : wimbledon \| a \| a \| a \| a \| a \| a \| q1 \| q1 \| q1 \| 2r \| 4r \| 2r \| qf \| None \| 9-4 row 4 : us open \| a \| a \| a \| a \| a \| 3r \| q3 \| a \| q2 \| 1r \| a \| 1r \| 1r \| None \| 2-4 row 5 : win-loss \| 0-0 \| 0-0 \| 0-0 \| 0-0 \| 0-0 \| 2-1 \| 0-0 \| 0-0 \| 0-1 \| 3-4 \| 6-3 \| 3-4 \| 5-4 \| 0-1 \| 19-18 row 6 : titles-finals \| 0-0 \| 0-0 \| 0-0 \| 0-0 \| 0-0 \| 0-0 \| 0-0 \| 0-0 \| 0-1 \| 0-1 \| 0-0 \| 0-0 \| 0-0 \| None \| 0-2 row 7 : year end ranking \| 427 \| 440 \| 371 \| 219 \| 142 \| 125 \| 222 \| 209 \| 101 \| 70 \| 57 \| 74 \| 72 \| None \| None ] Execute this SQL based on the above table: select min ( 2012 )	0-0
[ header: round \| opponent \| result \| brisbane \| opponent \| date \| venue \| crowd \| position \| bye row 1 : bocc \| celtic crusaders \| win \| 32 \| 6 \| 15 feb \| brewery field \| 2000 \| None \| 0 row 2 : wcc \| st helens \| loss \| 14 \| 18 \| 23 feb \| reebok stadium \| 23207 \| None \| 0 row 3 : trial match \| canberra raiders \| win \| 18 \| 12 \| 24 feb \| dolphin oval \| None \| None \| 0 row 4 : trial match \| melbourne storm \| loss \| 0 \| 46 \| 3 mar \| princes park \| 8273 \| None \| 0 row 5 : 1 \| north queensland cowboys \| loss \| 16 \| 23 \| 16 mar \| suncorp stadium \| 50416 \| 12/16 \| 0 row 6 : 2 \| new zealand warriors \| loss \| 14 \| 24 \| 25 mar \| mt smart stadium \| 16738 \| 12/16 \| 0 row 7 : 5 \| gold coast titans \| loss \| 16 \| 28 \| 13 apr \| suncorp stadium \| 47686 \| 13/16 \| 0 row 8 : 6 \| newcastle knights \| win \| 20 \| 16 \| 22 apr \| energyaustralia stadium \| 25524 \| 11/16 \| 0 row 9 : 7 \| melbourne storm \| loss \| 18 \| 28 \| 27 apr \| suncorp stadium \| 33750 \| 13/16 \| 0 row 10 : 8 \| south sydney rabbitohs \| win \| 8 \| 4 \| 4 may \| suncorp stadium \| 27387 \| 12/16 \| 0 row 11 : 9 \| cronulla sharks \| loss \| 8 \| 16 \| 11 may \| toyota park \| 12262 \| 13/16 \| 0 row 12 : 10 \| manly sea eagles \| loss \| 6 \| 18 \| 21 may \| brookvale oval \| 13493 \| 14/16 \| 0 row 13 : 11 \| newcastle knights \| win \| 71 \| 6 \| 27 may \| suncorp stadium \| 27433 \| 12/16 \| 0 row 14 : 12 \| st george illawarra \| loss \| 4 \| 11 \| 1 jun \| oki jubilee stadium \| 10302 \| 15/16 \| 0 row 15 : 13 \| None \| None \| None \| None \| None \| None \| None \| 12/16 \| 1 row 16 : 14 \| canterbury bulldogs \| win \| 19 \| 12 \| 15 jun \| telstra stadium \| 10121 \| 10/16 \| 0 row 17 : 15 \| wests tigers \| win \| 48 \| 18 \| 25 jun \| suncorp stadium \| 29364 \| 9/16 \| 0 row 18 : 16 \| penrith panthers \| win \| 24 \| 16 \| 30 jun \| cua stadium \| 8553 \| 7/16 \| 0 row 19 : 17 \| gold coast titans \| win \| 19 \| 18 \| 6 jul \| suncorp stadium \| 48621 \| 6/16 \| 0 row 20 : 18 \| north queensland cowboys \| win \| 24 \| 16 \| 13 jul \| dairy farmers stadium \| 25126 \| 5/16 \| 0 row 21 : 19 \| parramatta eels \| loss \| 16 \| 20 \| 23 jul \| suncorp stadium \| 25702 \| 5/16 \| 0 row 22 : 20 \| cronulla sharks \| win \| 30 \| 16 \| 29 jul \| suncorp stadium \| 24563 \| 5/16 \| 0 row 23 : 21 \| manly sea eagles \| loss \| 8 \| 21 \| 5 aug \| suncorp stadium \| 35784 \| 6/16 \| 0 row 24 : 22 \| melbourne storm \| loss \| 6 \| 14 \| 12 aug \| olympic park \| None \| 7/16 \| 0 row 25 : 23 \| canterbury bulldogs \| loss \| 24 \| 25 \| 17 aug \| suncorp stadium \| 35199 \| 9/16 \| 0 row 26 : 24 \| canberra raiders \| win \| 30 \| 19 \| 26 aug \| suncorp stadium \| 31614 \| 8/16 \| 0 ] Execute this SQL based on the above table: select position where position in ( '13/16' , '25 mar' ) group by position order by count ( * ) desc limit 1	13/16
[ header: rank \| heat \| athlete \| nationality \| time \| notes row 1 : 1 \| 1 \| natalya ivanova \| russia \| 23.11 \| q row 2 : 2 \| 1 \| elodie ouedraogo \| belgium \| 23.23 \| q row 3 : 3 \| 2 \| yelena yakovlev \| russia \| 23.37 \| q row 4 : 4 \| 1 \| monika bejnar \| poland \| 23.39 \| q, sb row 5 : 5 \| 1 \| nataliya pyhy \| ukraine \| 23.4 \| q, sb row 6 : 6 \| 2 \| laverne jones-ferr \| united states virgin islands \| 23.49 \| q row 7 : 7 \| 1 \| alena neumiarzhits \| belarus \| 23.52 \| None row 8 : 8 \| 1 \| adrienne power \| canada \| 23.62 \| None row 9 : 9 \| 2 \| grazyna prokopek \| poland \| 23.69 \| q row 10 : 10 \| 2 \| nikolett listar \| hungary \| 23.87 \| q row 11 : 11 \| 2 \| emily maher \| ireland \| 23.89 \| None row 12 : 12 \| 1 \| ruth grajeda \| mexico \| 23.96 \| None row 13 : 13 \| 2 \| edita kavaliauskiene \| lithuania \| 24.09 \| None row 14 : 14 \| 2 \| raquel da costa \| brazil \| 24.18 \| None row 15 : 15 \| 2 \| kim wall \| great britain \| 24.31 \| None row 16 : 16 \| 1 \| doris tomasini \| italy \| 24.4 \| None ] Execute this SQL based on the above table: select count ( * ) where notes = 'None'	0
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| russia \| 17 \| 5 \| 5 \| 27 row 2 : 2 \| bulgaria \| 5 \| 2 \| 3 \| 10 row 3 : 4 \| ukraine \| 1 \| 2 \| 11 \| 14 row 4 : 6 \| latvia \| 1 \| 0 \| 0 \| 1 row 5 : 7 \| uzbekistan \| 0 \| 3 \| 4 \| 7 row 6 : 8 \| lithuania \| 0 \| 1 \| 6 \| 7 row 7 : 8 \| venezuela \| 0 \| 3 \| 3 \| 6 row 8 : 13 \| azerbaijan \| 0 \| 1 \| 0 \| 1 row 9 : 13 \| france \| 0 \| 1 \| 0 \| 1 row 10 : 13 \| germany \| 0 \| 1 \| 0 \| 1 row 11 : 13 \| romania \| 0 \| 1 \| 0 \| 1 row 12 : 17 \| serbia \| 0 \| 0 \| 1 \| 1 row 13 : 17 \| spain \| 0 \| 0 \| 1 \| 1 row 14 : 17 \| tajikistan \| 0 \| 0 \| 1 \| 1 row 15 : 21 \| algeria \| 0 \| 0 \| 0 \| 0 row 16 : 21 \| austria \| 0 \| 0 \| 0 \| 0 row 17 : 21 \| belgium \| 0 \| 0 \| 0 \| 0 row 18 : 21 \| cameroon \| 0 \| 0 \| 0 \| 0 row 19 : 21 \| canada \| 0 \| 0 \| 0 \| 0 row 20 : 21 \| colombia \| 0 \| 0 \| 0 \| 0 row 21 : 21 \| czech republic \| 0 \| 0 \| 0 \| 0 row 22 : 21 \| cyprus \| 0 \| 0 \| 0 \| 0 row 23 : 21 \| ecuador \| 0 \| 0 \| 0 \| 0 row 24 : 21 \| great britain \| 0 \| 0 \| 0 \| 0 row 25 : 21 \| india \| 0 \| 0 \| 0 \| 0 row 26 : 21 \| indonesia \| 0 \| 0 \| 0 \| 0 row 27 : 21 \| ireland \| 0 \| 0 \| 0 \| 0 row 28 : 21 \| israel \| 0 \| 0 \| 0 \| 0 row 29 : 21 \| italy \| 0 \| 0 \| 0 \| 0 row 30 : 21 \| jordan \| 0 \| 0 \| 0 \| 0 row 31 : 21 \| south korea \| 0 \| 0 \| 0 \| 0 row 32 : 21 \| kyrgyzstan \| 0 \| 0 \| 0 \| 0 row 33 : 21 \| lebanon \| 0 \| 0 \| 0 \| 0 row 34 : 21 \| malaysia \| 0 \| 0 \| 0 \| 0 row 35 : 21 \| morocco \| 0 \| 0 \| 0 \| 0 row 36 : 21 \| nepal \| 0 \| 0 \| 0 \| 0 row 37 : 21 \| new zealand \| 0 \| 0 \| 0 \| 0 row 38 : 21 \| pakistan \| 0 \| 0 \| 0 \| 0 row 39 : 21 \| panama \| 0 \| 0 \| 0 \| 0 row 40 : 21 \| peru \| 0 \| 0 \| 0 \| 0 row 41 : 21 \| poland \| 0 \| 0 \| 0 \| 0 row 42 : 21 \| slovenia \| 0 \| 0 \| 0 \| 0 row 43 : 21 \| slovakia \| 0 \| 0 \| 0 \| 0 row 44 : 21 \| thailand \| 0 \| 0 \| 0 \| 0 row 45 : 21 \| tunisia \| 0 \| 0 \| 0 \| 0 row 46 : 21 \| united states \| 0 \| 0 \| 0 \| 0 ] Execute this SQL based on the above table: select nation where silver = ( select silver where nation = 'ecuador' ) + 1	lithuania, azerbaijan, france, germany, romania
[ header: stamp issue date \| stamp set \| #cards \| card set ref \| qty. issued row 1 : 16 may 1973 \| county cricket, 1873-1973 \| one \| phq 1 \| 20000 row 2 : 15 august 1973 \| 400th anniversary, birth of inigo \| one \| phq 2 \| 20000 row 3 : 12 september 1973 \| 19th commonwealth parliamentary conference \| one \| phq 3 \| 15200 row 4 : 14 november 1973 \| royal wedding (the princess anne) \| one \| phq 4 \| 290000 row 5 : 27 february 1974 \| british trees \| one \| phq 5 \| 16750 row 6 : 24 april 1974 \| fire service anniversary \| one \| phq 6 \| 30000 row 7 : 10 july 1974 \| medieval warriors \| four \| phq 7 \| 31750 row 8 : 9 october 1974 \| winston churchill centenary \| one \| phq 8 \| 114430 row 9 : 19 february 1975 \| bicentenary, birth j. \| one \| phq 9 \| 46250 row 10 : 23 april 1975 \| european architectural year \| three \| phq 10 \| 51000 row 11 : 11 june 1975 \| sailing \| one \| phq 11 \| 41350 row 12 : 13 august 1975 \| 150th anniversary of public railways \| four \| phq 12 \| 47500 row 13 : 22 october 1975 \| jane austen bicentenary \| four \| phq 13 \| 27330 row 14 : 28 april 1976 \| social reformers \| one \| phq 14 \| 38350 row 15 : 2 june 1976 \| american bicentenary \| one \| phq 15 \| 60950 row 16 : 30 june 1976 \| roses \| four \| phq 16 \| 34250 ] Execute this SQL based on the above table: select count ( stamp issue date ) where qty. issued <= 0	0
[ header: region \| date \| label \| format \| catalog row 1 : united kingdom \| june 10, 1985 \| i.r.s \| vinyl lp \| mirf1003 row 2 : united states \| june 11, 1985 \| i.r.s \| lp \| irs-5592 row 3 : united states \| june 11, 1985 \| i.r.s \| cassette tape \| irsc-5592 row 4 : united states \| june 11, 1985 \| i.r.s \| compact disc \| irsd-5592 row 5 : greece \| 1985 \| illegal \| lp \| 26525 row 6 : australia \| 1985 \| i.r.s./epic \| lp \| elps 4495 row 7 : the netherlands \| 1985 \| i.r.s \| lp \| 26525 row 8 : worldwide \| 1990 \| mca \| compact disc \| 5592 row 9 : worldwide \| 1990 \| i.r.s \| cassette tape \| irsc-5592 row 10 : the netherlands \| august 6, 1992 \| emi \| compact disc \| 7 13160 2 9 row 11 : united kingdom \| 1992 \| simply vinyl \| 180-gram vinyl lp \| svlp151 row 12 : worldwide \| 1998 \| capitol \| compact disc \| 93479 row 13 : europe \| 1998 \| emi \| compact disc \| 13160 row 14 : worldwide \| 1999 \| i.r.s \| compact disc \| 19016 row 15 : united states \| 1999 \| simply vinyl \| lp \| 151 row 16 : europe \| 2000 \| i.r.s \| compact disc \| 7131602 ] Execute this SQL based on the above table: select label where format <= 322	simply vinyl
[ header: season \| greek league \| greek cup \| europe \| coach \| roster row 1 : 1928-29 \| champion \| None \| None \| nikos nisiot \| christos svolopoulos row 2 : 1938-39 \| champion \| None \| None \| None \| None row 3 : 1949-50 \| finalist \| None \| None \| None \| None row 4 : 1950-51 \| finalist \| None \| None \| None \| None row 5 : 1952-53 \| champion \| None \| None \| None \| themis cholevas, panagiot row 6 : 1953-54 \| finalist \| None \| None \| None \| None row 7 : 1956-57 \| champion \| None \| None \| None \| antonis christeas, row 8 : 1969-70 \| 3rd place \| _ \| _ \| None \| vasilis goumas row 9 : 1974-75 \| _ \| None \| korac cup last 32 \| None \| vasilis goumas row 10 : 1977-78 \| 3rd place \| last 16 \| korac cup last 16 \| None \| None row 11 : 1978-79 \| _ \| last 8 \| korac cup last 32 \| None \| None row 12 : 1980-81 \| _ \| last 16 \| korac cup last 32 \| None \| None row 13 : 1986-87 \| _ \| finalist \| cup winners' cup last 32 \| nikos pavlou \| giannopoulos, stamati row 14 : 2004-05 \| 12th place \| last 16 \| None \| manos manouselis, \| gary trent, miroslav beric row 15 : 2008-09 \| 6th place \| last 8 \| eurocup last 16 \| elias zouros \| anthony grundy, jurica ] Execute this SQL based on the above table: select greek league where greek cup = 'last 16' order by coach asc limit 1	3rd place
[ header: name of place \| number of counties \| principal county \| lower zip code row 1 : aberdeen \| 1 \| monroe county \| 72134 row 2 : advance \| 1 \| baxter county \| None row 3 : aggie \| 1 \| craighead county \| None row 4 : air base \| 1 \| pulaski county \| 72076 row 5 : alabam \| 1 \| madison county \| 72740 row 6 : alamo \| 1 \| montgomery county \| None row 7 : albion \| 1 \| white county \| 72143 row 8 : alexander \| 1 \| greene county \| 72450 row 9 : alexander \| 2 \| pulaski county \| 72002 row 10 : alfrey \| 1 \| monroe county \| 72021 row 11 : algoa \| 1 \| jackson county \| 72112 row 12 : alix \| 1 \| franklin county \| 72820 row 13 : alleene \| 1 \| little river county \| 71820 row 14 : allis \| 1 \| drew county \| None row 15 : alpha \| 1 \| yell county \| None row 16 : amy \| 1 \| ouachita county \| 71701 row 17 : andrews \| 1 \| white county \| None row 18 : anthony \| 1 \| hempstead county \| 71801 row 19 : anthony subdivision \| 1 \| crittenden county \| None row 20 : anthonyville \| 1 \| crittenden county \| 72301 row 21 : antioch \| 1 \| white county \| 72012 row 22 : apalco \| 1 \| lafayette county \| None row 23 : appleby \| 1 \| washington county \| None row 24 : applegate ford \| 1 \| carroll county \| None row 25 : arbaugh \| 1 \| newton county \| 72852 row 26 : arden \| 1 \| little river county \| 71822 row 27 : arkansas a and m \| 1 \| drew county \| None row 28 : arkansas polytechnic college \| 1 \| pope county \| None row 29 : arkansas state teachers college \| 1 \| faulkner county \| None row 30 : arkawana \| 1 \| baxter county \| None row 31 : arkinda \| 1 \| little river county \| 71836 row 32 : armstrong \| 1 \| sharp county \| 72482 row 33 : artesian \| 1 \| calhoun county \| None row 34 : artex \| 1 \| miller county \| None row 35 : artist point \| 1 \| crawford county \| None row 36 : asher \| 1 \| madison county \| 72727 row 37 : asher \| 1 \| pulaski county \| 72204 row 38 : ash flat \| 2 \| sharp county \| 72513 row 39 : ash flat \| 2 \| fulton county \| 72513 row 40 : ashton \| 1 \| chicot county \| 71653 row 41 : athelstan \| 1 \| mississippi county \| 72370 row 42 : athens \| 1 \| howard county \| 71971 row 43 : attica \| 1 \| randolph county \| 72455 row 44 : atwood \| 1 \| howard county \| None row 45 : aubrey \| 1 \| lee county \| 72311 row 46 : augsburg \| 1 \| pope county \| 72874 row 47 : augusta \| 1 \| woodruff county \| 72006 row 48 : austin \| 1 \| conway county \| 72027 row 49 : avery \| 1 \| lincoln county \| 71639 ] Execute this SQL based on the above table: select principal county where principal county in ( 'lincoln county' , 'mississippi county' ) order by lower zip code desc limit 1	mississippi county
[ header: category \| age (ethnicity) \| n \| v1 \| v2 \| v3 \| v4 \| v5 \| v6 row 1 : None \| 1 week - 1 y \| 210 \| 92% \| 74% \| 27% \| 20% \| 0.50% \| 0% row 2 : None \| 1 y - 2 y \| 154 \| 96% \| 85% \| 39% \| 10% \| 0.70% \| 0% row 3 : None \| 2 y - 5 y \| 202 \| 98% \| 50% \| 22% \| 7% \| 1% \| 0% row 4 : None \| 5 y - 8 y \| 94 \| 91% \| 25% \| 14% \| 5% \| 1% \| 1% row 5 : None \| 8 y - 16 y \| 90 \| 62% \| 7% \| 2% \| 0% \| 0% \| 0% row 6 : males \| 12 y - 13 y \| 209 \| 47% \| 7% \| 0% \| 0% \| 0% \| 0% row 7 : males \| 13 y - 14 y \| 260 \| 35% \| 4.60% \| 0.80% \| 0% \| 0% \| 0% row 8 : males \| 16 y - 19 y (white \| 50 \| 32% \| 0% \| 0% \| 0% \| 0% \| 0% row 9 : males \| 16 y - 19 y (black \| 310 \| 46% \| 7% \| 2.90% \| 1.30% \| 0% \| 0% row 10 : males \| 20 - 30 y (whites) \| 285 \| 41% \| 0% \| 0% \| 0% \| 0% \| 0% row 11 : males \| 20 - 30 y (blacks) \| 295 \| 37% \| 0% \| 0% \| 0% \| 0% \| 0% row 12 : females \| 12 y - 13 y \| 174 \| 69% \| 11% \| 1.20% \| 0% \| 0% \| 0% row 13 : females \| 13 y - 14 y \| 154 \| 52% \| 8.40% \| 1.40% \| 0% \| 0% \| 0% row 14 : females \| 16 y - 19 y (white \| 50 \| 66% \| 0% \| 0% \| 0% \| 0% \| 0% row 15 : females \| 16 - 19 y (blacks) \| 310 \| 73% \| 9% \| 1.30% \| 0.60% \| 0% \| 0% row 16 : females \| 20 - 30 y (whites) \| 280 \| 55% \| 0% \| 0% \| 0% \| 0% \| 0% row 17 : females \| 20 - 30 y (blacks) \| 330 \| 55% \| 2.40% \| 1% \| 0% \| 0% \| 0% ] Execute this SQL based on the above table: select category where v1 = '55%'	females, females
[ 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 driver(s) order by # limit 1	ted musgrave
[ header: n \| p \| nat. \| name \| age \| moving from \| type \| transfer window \| ends \| transfer fee row 1 : 20 \| rw \| por \| nuno capucho \| 31 \| porto \| transfer \| summer \| 2005 \| £0.67m row 2 : 15 \| cb \| georgia \| zurab khizanishvili \| 21 \| dundee \| transfer \| summer \| 2006 \| free row 3 : 16 \| lb \| ita \| paolo vanoli \| 30 \| bologna \| transfer \| summer \| 2005 \| free row 4 : 25 \| cb \| nor \| henning berg \| 33 \| blackburn rovers \| transfer \| summer \| 2004 \| free row 5 : 4 \| cm \| bra \| emerson \| 31 \| atletico madrid \| transfer \| summer \| 2005 \| free row 6 : 9 \| cf \| nor \| egil østenstad \| 31 \| blackburn rovers \| transfer \| summer \| 2004 \| free row 7 : 37 \| lm \| tun \| hamed namouchi \| 19 \| cannes \| transfer \| None \| 2005 \| free row 8 : None \| cm \| fra \| marc kalenga \| 18 \| auxerre \| transfer \| None \| 2004 \| free row 9 : 11 \| cm \| sco \| gavin rae \| 26 \| dundee \| transfer \| winter \| 2007 \| £0.25m row 10 : 5 \| cb \| ned \| frank de boer \| 33 \| galatasaray \| transfer \| winter \| 2004 \| free row 11 : 52 \| cf \| mkd \| bajram fetai \| 18 \| b.93 \| transfer \| winter \| 2006 \| £0.2m ] Execute this SQL based on the above table: select count ( * )	11
[ header: party \| votes \| % \| swing \| seats \| change row 1 : australian labor party \| 324135 \| 51.52 \| -0.12 \| 26 \| -1 row 2 : liberal and country league \| 250312 \| 39.79 \| -3.97 \| 20 \| 0 row 3 : nationals sa \| 24810 \| 3.94 \| 2.05 \| 1 \| 1 row 4 : independent \| 27178 \| 4.32 \| 2.86 \| 0 \| 0 row 5 : other \| 2708 \| 0.43 \| -0.81 \| 0 \| 0 row 6 : total \| 629143 \| None \| None \| 47 \| None row 7 : australian labor party \| win \| 54.5 \| 1.2 \| 26 \| -1 row 8 : liberal and country league \| None \| 45.5 \| -1.2 \| 21 \| 1 ] Execute this SQL based on the above table: select count ( swing ) where % >= '-0.81' and % <= '2.05' and swing >= 369	0
[ header: song \| chinese \| hito radio top 10 \| 9+2 music top 15 \| global asia top 15 \| ufo radio top 15 \| channel [v] top 20 \| mtv taiwan top 20 \| yes 93.3 top 20 row 1 : super star \| None \| 3 \| None \| >4 \| 3 \| 4 \| None \| 14 row 2 : far away \| 遠方 \| None \| None \| 3 \| 2 \| 5 \| None \| 7 row 3 : half-sugarism \| 半糖主義 \| 3 \| None \| None \| 7 \| None \| 3 \| None row 4 : river shore park \| 河濱公園 \| 1 \| 2 \| None \| None \| None \| None \| None row 5 : i.o.i.o \| None \| 2 \| None \| None \| 5 \| 3 \| None \| None row 6 : heavy rain \| 落大雨 \| 1 \| None \| None \| None \| None \| >1 \| None row 7 : smile of summer \| 夏天的微笑 \| 3 \| None \| None \| None \| None \| 7 \| None ] Execute this SQL based on the above table: select song where song = 'i.o.i.o' and hito radio top 10 < 1620	i.o.i.o
[ 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 nation where nation in ( 'chile (chi)' , 'united states (usa)' ) order by total asc limit 1	chile (chi)
[ header: name \| date \| nation \| displacement \| speed \| number \| notes row 1 : fmr-class \| 1943 \| us \| 1,200 tons \| 21 knots \| 85 \| None row 2 : gmt-class \| 1943 \| us \| 1,140 tons \| 21 knots \| 72 \| None row 3 : det-class \| 1943 \| us \| 1,240 tons \| 21 knots \| 72 \| None row 4 : tacoma-class frigate \| 1943 \| us \| 1,430 tons \| 20 knots \| 96 \| None row 5 : type b kaibokan \| 1943 \| japan \| 940 tons \| 19 knots \| 37 \| None row 6 : tev-class \| 1944 \| us \| 1,450 tons \| 24 knots \| 22 \| None row 7 : bay-class frigates \| 1945 \| uk \| 1,580 tons \| 20 knots \| 26 \| anti-aircraft row 8 : dealey-class \| 1954 \| us \| 1,450 tons \| 25 knots \| 13 \| None row 9 : type e50 frigate \| 1955 \| france \| 1,290 tons \| 28 knots \| 4 \| fast row 10 : type 14 frigate \| 1955 \| uk \| 1,180 tons \| 24 knots \| 8 \| anti-submarine row 11 : st. laurent-class \| 1955 \| canada \| 2,263 tons \| 28 knots \| 7 \| anti-submarine row 12 : type b \| 1956 \| japan \| 1,070 tons \| 25 knots \| 2 \| diesel row 13 : type 12 frigate \| 1956 \| uk \| 2,150 tons \| 31 knots \| 6 \| anti-submarine row 14 : almirante clemente-class light \| 1956 \| venezuela \| 1,300 tons \| 32 knots \| 6 \| fast row 15 : type 61 frigate \| 1957 \| uk \| 2,170 tons \| 24 knots \| 4 \| aircraft direction row 16 : canopo-class frigate \| 1957 \| italy \| 1,807 tons \| 26 knots \| 4 \| None row 17 : azopardo-class frigate \| 1957 \| argentina \| 1,160 tons \| 20 knots \| 2 \| None row 18 : restigouche-class \| 1958 \| canada \| 2,366 tons \| 28 knots \| 7 \| anti-submarine row 19 : claud jones-class \| 1959 \| us \| 1,450 tons \| 22 knots \| 4 \| None row 20 : type 12m frigate \| 1960 \| uk \| 2,380 tons \| 30 knots \| 12 \| anti-submarine row 21 : koln-class frigate \| 1961 \| germany \| 2,100 tons \| 30 knots \| 6 \| fast row 22 : river-class \| 1961 \| australia \| 2,100 tons \| 30 knots \| 6 \| None row 23 : river-class \| 1961 \| japan \| 1,490 tons \| 25 knots \| 4 \| None row 24 : type 81 frigate \| 1961 \| uk \| 2,300 tons \| 28 knots \| 7 \| general purpose row 25 : mackenzie-class \| 1962 \| canada \| 2,366 tons \| 28 knots \| 4 \| anti-submarine row 26 : hvidbjørnen- \| 1962 \| denmark \| 1,345 tons \| 18 knots \| 4 \| fishery protection row 27 : type 12i frigate \| 1963 \| uk \| 2,450 tons \| 30 knots \| 26 \| general purpose row 28 : bronstein-class \| 1963 \| us \| 2,360 tons \| 26 knots \| 2 \| None row 29 : garcia-class \| 1964 \| us \| 2,620 tons \| 27 knots \| 10 \| None row 30 : oslo-class frigate \| 1966 \| norway \| 1,450 tons \| 25 knots \| 5 \| None row 31 : brooke-class \| 1966 \| us \| 2,640 tons \| 27 knots \| 6 \| guided missile row 32 : peder skram-class frigate \| 1966 \| denmark \| 2,030 tons \| 28 knots \| 2 \| fast row 33 : van speijk-class frigate \| 1967 \| netherlands \| 2,200 tons \| 28 knots \| 6 \| None row 34 : alpino-class frigate \| 1968 \| italy \| 2,000 tons \| 28 knots \| 2 \| None ] Execute this SQL based on the above table: select count ( notes ) where date not null and displacement is null	0
[ header: first issued \| design \| slogan \| serial format \| serials issued \| notes row 1 : 1913 \| red lettering and white background painted on porcelain- \| none \| 12345 \| None \| steel registration seal on right side between "n. row 2 : 1933 \| orange lettering embossed on black base \| none \| a12345 \| None \| county letter code at left row 3 : 1952-56 \| orange lettering embossed on black base \| none \| a/b 123; a/ \| None \| tab for subsequent years inserted over original date row 4 : 1959 \| black on buff, non-reflective, \| garden state embossed in plain block letters below \| abc-123 \| aaa-100 to rh \| None row 5 : 1960 \| black on buff, non-reflective, \| in transit embossed in plain block letters below \| f-86-3 \| f-11-3 to f-99- \| from the collection of richard watson row 6 : 1970 \| black on buff, non-reflective, \| garden state embossed in plain block letters below \| abc-123 \| uaa-100 to yzz \| None row 7 : 1973 \| black on buff, non-reflective, \| garden state embossed in plain block letters below \| 123-abc \| 100-aaa to 999-h \| None row 8 : 1977 \| black on buff, non-reflective, \| garden state embossed in plain block letters below \| 123-abc \| 100-hca to 999-kzz \| None row 9 : 1979 \| yellow on blue, non-reflective, \| garden state embossed in plain block letters below \| 123-abc; new jersey state \| 100-laa to 999-zzz \| None row 10 : 1985 \| yellow on blue, non-reflective, \| garden state embossed in plain block letters below \| abc-123; new jersey state icon used \| zaa-100 to zzz- \| None row 11 : 1999 \| black embossed numbers on yellow to white gradient \| garden state screened in black plain block letters below \| abc-12d; new jersey state icon used \| jaa-10a to vzt- \| None row 12 : 2010 \| black embossed numbers on yellow to white gradient \| garden state screened in black plain block letters below \| a12-abc; new jersey \| a10-aaa to present 4, \| k43-ecg (current highest ] Execute this SQL based on the above table: select first issued where serial format = 'f-86-3'	1960
[ header: # \| title \| producer(s) \| featured guest(s) \| length row 1 : 1 \| "intro" \| swizzo (of drum squad) \| None \| 1:41 row 2 : 2 \| "interlude" \| crown kingz productions (ckp) \| None \| 2:22 row 3 : 3 \| "dem boyz" \| nitti \| p. diddy \| 4:16 row 4 : 4 \| "felonies" \| jazze pha \| None \| 5:49 row 5 : 5 \| "look" \| drumma boy \| None \| 4:56 row 6 : 6 \| "gangstas" \| erick sermon \| eazy-e \| 3:49 row 7 : 7 \| "don't put your hands on me" \| dj toomp \| None \| 4:33 row 8 : 8 \| "bitches & bizness" \| nitti \| rick ross (uncredited) \| 4:21 row 9 : 9 \| "trap niggas" \| drumma boy \| None \| 3:37 row 10 : 10 \| "still slizzard" \| nitti \| None \| 5:07 row 11 : 11 \| "no talkin" \| sanchez \| None \| 5:25 row 12 : 12 \| "happy jamz" \| jazze pha \| jazze pha \| 4:48 row 13 : 13 \| "if u a thug \| keith mack \| None \| 5:09 row 14 : 14 \| "lay it down" \| jasper \| None \| 4:17 row 15 : 15 \| "pussy m.f.' \| horace "bubba" mitchell \| trick daddy \| 4:24 row 16 : 16 \| "keep it hood 2nite" \| midnight black \| None \| 3:23 ] Execute this SQL based on the above table: select title where producer(s) = 'nitti'	"dem boyz", "bitches & bizness", "still slizzard"
[ 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 conf. where rnd. = ( select rnd. where conf. = 'sec' ) + 1	sec, big east
[ header: name \| first held \| country \| earliest attendance figure known \| 1998 attendance \| 2000 attendance \| 2002 attendance \| 2004 attendance \| 2006 attendance \| 2008 attendance \| 2010 attendance \| 2012 attendance row 1 : animefest \| 1992 \| usa \| 105 (1992) \| 650 \| 750 \| 1800 \| 2725 \| 4127 \| None \| None \| None row 2 : animeexpo \| 1992 \| usa \| 1750 (1992) \| 4883 \| 9700 \| 15250 \| 25000 \| 40647 \| 43000 \| 44000 \| 49400 row 3 : fanimecon \| 1994 \| usa \| 200 (1994) \| 1700 \| 2300 \| 4600 \| 6122 \| 10000 \| 14926 \| 16000 \| 21000 row 4 : otakon \| 1994 \| usa \| 350 (1994) \| 2500 \| 7500 \| 12880 \| 20899 \| 22302 \| 26262 \| 29274 \| 32724 row 5 : katsucon \| 1995 \| usa \| 500 (1995) \| 1400 \| 2300 \| 3000 \| 4300 \| 5664 \| 6300 \| None \| 12614 row 6 : nan desu kan \| 2000 \| usa \| None \| None \| 1477 \| 2467 \| 2859 \| 5018 \| 5975 \| None \| None row 7 : animeiowa \| 1997 \| usa \| 150 (1997) \| 300 \| 700 \| None \| None \| None \| None \| None \| None row 8 : otafest \| 1999 \| usa \| 700 (1999) \| None \| 900 \| None \| None \| None \| 4042 \| 3697 \| None row 9 : sakura-con \| 2000 \| usa \| 866(2000) \| 313 \| 866 \| 2328 \| 4425 \| 7500 \| 13600 \| 18002 \| 21457 row 10 : shoujocon \| 2000 \| usa \| 456(2000) \| 456 \| 1229 \| None \| None \| None \| None \| None \| None row 11 : j-popcon \| 2000 \| denmark \| None \| None \| 200 \| None \| None \| 1000 \| None \| 2200 \| None row 12 : sugoicon \| 2000 \| usa \| 522(2000) \| None \| 522 \| 930 \| 1333 \| 1400 \| None \| None \| None row 13 : ohayocon \| 2001 \| usa \| 654(2001) \| None \| None \| 1200 \| 3042 \| 4257 \| 7000 \| 10120 \| 40 row 14 : big apple anime fest \| 2001 \| usa \| 3500(2001) \| None \| None \| 7500 \| None \| None \| None \| None \| None row 15 : manifest \| 2001 \| australia \| 3500(2006) \| None \| None \| None \| None \| 3500 \| 4800 \| None \| None row 16 : anime detour \| 2004 \| usa \| 1200(2004) \| None \| None \| None \| 1200 \| 2464 \| 3000 \| None \| None row 17 : portconmaine \| 2002 \| usa \| 250(2002) \| None \| None \| 250 \| 811 \| 1400 \| 1650 \| 2072 \| 2306 row 18 : anime friends \| 2003 \| brazil \| 25000(2004) \| None \| None \| None \| 25000 \| 50000 \| 120000 \| None \| None row 19 : anime nebraskon \| 2004 \| usa \| None \| None \| None \| None \| 300 \| None \| None \| 2000 \| None row 20 : tsubasacon \| 2004 \| usa \| 407(2004) \| None \| None \| None \| 407 \| 564 \| 723 \| 1105 \| 1320 row 21 : kawaii kon \| 2005 \| hawaii \| 2610 (2005) \| None \| None \| None \| None \| 2610 \| 3495 \| 4877 \| 6077 row 22 : sac-anime \| 2005 \| usa \| 2000(2006) \| None \| None \| None \| None \| 2000 \| None \| None \| 5000 row 23 : youmacon \| 2005 \| usa \| 1078(2005) \| None \| None \| None \| None \| 2125 \| 4494 \| None \| 12156 row 24 : anime punch \| 2005 \| usa \| 200(2005) \| None \| None \| None \| None \| 977 \| 1337 \| 1206 \| None ] Execute this SQL based on the above table: select name where country = 'usa' and 2012 attendance <= 12156	ohayocon, portconmaine, tsubasacon, sac-anime, youmacon
[ header: year \| 1st venue \| 2nd venue \| 3rd venue \| 4th venue \| 5th venue \| 6th venue row 1 : 2007 \| sheffield \| mexico city \| nanjing \| None \| None \| None row 2 : 2008 \| tijuana \| sheffield \| nanjing \| None \| None \| None row 3 : 2009 \| doha \| changzhou \| sheffield \| tijuana \| None \| None row 4 : 2010 \| qingdao \| veracruz \| veracruz \| None \| None \| None row 5 : 2011 \| moscow \| beijing \| sheffield \| guanajuato \| None \| None row 6 : 2012 \| dubai \| beijing \| moscow \| tijuana \| None \| None row 7 : 2013 \| beijing \| dubai \| edinburgh \| moscow \| guadalajara \| guadalajara row 8 : 2014 \| beijing \| dubai \| london \| moscow \| windsor \| monterrey ] Execute this SQL based on the above table: select count ( 5th venue )	2
[ header: coach \| years \| seasons \| wins \| losses \| ties \| pct row 1 : o. b. "rip" \| 1908 \| 1 \| 5 \| 1 \| 0 \| 0.833 row 2 : ed sabre \| 1920 \| 1 \| 3 \| 1 \| 0 \| 0.75 row 3 : mack erwin \| 1957-60 \| 4 \| 62 \| 30 \| 1 \| 0.672 row 4 : chal port \| 1965-91 \| 27 \| 641 \| 386 \| 2 \| 0.624 row 5 : fred jordan \| 1992-pres \| 22 \| 726 \| 552 \| 0 \| 0.568 row 6 : john d. mcmillan \| 1952-53 \| 2 \| 14 \| 15 \| 0 \| 0.483 row 7 : jim newsome \| 1961-64 \| 4 \| 37 \| 43 \| 0 \| 0.463 row 8 : bunzy o'neal \| 1948 \| 1 \| 6 \| 7 \| 0 \| 0.462 row 9 : george c. rogers \| 1914-15, 1921-24 \| 6 \| 26 \| 33 \| 1 \| 0.441 row 10 : fred montsdeoca \| 1954-56 \| 2 \| 22 \| 31 \| 0 \| 0.415 row 11 : george a. schmick \| 1910 \| 1 \| 4 \| 6 \| 0 \| 0.4 row 12 : thomas s. mc \| 1916, 1919 \| 2 \| 8 \| 12 \| 0 \| 0.4 row 13 : harold manley \| 1954 \| 1 \| 5 \| 9 \| 0 \| 0.357 row 14 : "barney" legge \| 1911 \| 1 \| 2 \| 5 \| 1 \| 0.286 row 15 : h. l. "matty" \| 1926-30, 37-38 \| 3 \| 10 \| 25 \| 1 \| 0.286 row 16 : dusty rhodes \| 1947 \| 1 \| 2 \| 5 \| 0 \| 0.286 row 17 : "shorty" o'brien \| 1918 \| 1 \| 3 \| 9 \| 0 \| 0.25 row 18 : "bull dog" drummond \| 1925 \| 1 \| 2 \| 7 \| 0 \| 0.222 ] Execute this SQL based on the above table: select count ( coach ) where seasons = 1	9
[ header: transmitter \| kw \| bbca \| bbcb \| d3&4 \| sdn \| arqa \| arqb \| pol. \| a.g. row 1 : allenheads \| 0.002 \| 27 \| 21 \| 24 \| None \| None \| None \| v \| a k row 2 : alston \| 0.08 \| 39 \| 45 \| 42 \| None \| None \| None \| v \| b e k row 3 : bellingham \| 0.01 \| 27 \| 21 \| 24 \| None \| None \| None \| v \| a k row 4 : blaydon burn \| 0.002 \| 44 \| 47 \| 41 \| None \| None \| None \| v \| b e k row 5 : byrness \| 0.01 \| 27 \| 21 \| 24 \| None \| None \| None \| v \| a k row 6 : catton beacon \| 0.028 \| 40 \| 46 \| 43 \| None \| None \| None \| v \| b e k row 7 : durham \| 0.003 \| 41 \| 47 \| 44 \| None \| None \| None \| v \| b e k row 8 : esh \| 0.0024 \| 39 \| 45 \| 42 \| None \| None \| None \| v \| b e k row 9 : felling \| 0.002 \| 40 \| 43 \| 46 \| None \| None \| None \| v \| b e k row 10 : fenham \| 0.4 \| 27 \| 21 \| 24 \| 25 \| 22 \| 28 \| v \| a k row 11 : haltwhistle \| 0.4 \| 59 \| 55 \| 62- \| None \| None \| None \| v \| c/d e row 12 : haydon bridge \| 0.02 \| 44 \| 41 \| 47 \| None \| None \| None \| v \| b e k row 13 : hedleyhope \| 0.004 \| 41 \| 47 \| 44 \| None \| None \| None \| v \| b e k row 14 : humshaugh \| 0.0118 \| 39 \| 45 \| 42 \| None \| None \| None \| v \| b e k row 15 : ireshopeburn \| 0.0022 \| 55 \| 59 \| 50 \| None \| None \| None \| v \| c/d e row 16 : kielder \| 0.0054 \| 26 \| 23 \| 29 \| None \| None \| None \| v \| a k row 17 : morpeth \| 0.0088 \| 22 \| 28 \| 25 \| None \| None \| None \| v \| a k row 18 : newton \| 0.4 \| 26 \| 23 \| 29 \| None \| None \| None \| v \| a k row 19 : seaham \| 0.059 \| 44 \| 47 \| 46 \| None \| None \| None \| v \| b e k row 20 : shotleyfield \| 0.04 \| 22 \| 28 \| 25 \| None \| None \| None \| v \| a k row 21 : staithes \| 0.002 \| 52 \| 51 \| 48 \| None \| None \| None \| v \| b c/d e row 22 : sunderland \| 0.006 \| 52 \| 51 \| 48 \| None \| None \| None \| v \| b c/d e row 23 : wall \| 0.0042 \| 52 \| 51 \| 48 \| None \| None \| None \| h \| b c/d e row 24 : weardale \| 0.2 \| 44 \| 41 \| 47 \| None \| None \| None \| v \| b e k row 25 : whitaside \| 0.0025 \| 44 \| 41 \| 47 \| None \| None \| None \| v \| b e k ] Execute this SQL based on the above table: select count ( * ) where pol. = 'v'	24
[ header: date \| championship \| location \| category \| surface \| prev. result \| prev. points \| new points \| outcome row 1 : 29 december 2013- 5 janu \| brisbane international \| brisbane (aus) \| wta premier \| hard \| sf \| 200 \| 305 \| final lost to serena williams row 2 : 14 january 2014- 27 jan \| australian open \| melbourne (aus) \| grand slam \| hard \| w \| 2000 \| 430 \| quarter-finals lost to agnies row 3 : 10 february 2014- 16 february \| qatar total open \| doha (qat) \| wta premier 5 \| hard \| w \| 900 \| 0 \| withdrew due to left foot injury row 4 : 3 march 2014- 16 march 2014 \| indian wells \| indian wells (usa) \| wta premier mandatory \| hard \| qf \| 250 \| 45 \| second round lost to lauren davis row 5 : 17 march 2013- 30 march 2014 \| sony open tennis \| miami (usa) \| wta premier mandatory \| hard \| dnp \| 0 \| 0 \| withdrew due to left foot injury row 6 : 5 may 2014- 11 may 2014 \| mutua madrid masters \| madrid (esp) \| wta premier mandatory \| clay \| 2r \| 60 \| None \| pending row 7 : 12 may 2014- 18 may 2014 \| internazionali bnl \| rome (ita) \| wta premier 5 \| clay \| f \| 700 \| None \| pending row 8 : 25 may 2014- 8 june 2014 \| french open \| paris (fra) \| grand slam \| clay \| sf \| 900 \| None \| pending row 9 : 23 june 2014- 6 july \| wimbledon \| london (gbr) \| grand slam \| grass \| 2r \| 100 \| None \| pending row 10 : 4 august 2014- 10 august 2014 \| rogers cup \| toronto (can) \| wta premier 5 \| hard \| dnp \| 0 \| None \| pending row 11 : 11 august 2014- 17 august 2014 \| western and southern open \| cincinnati (usa) \| wta premier 5 \| hard \| w \| 900 \| None \| pending row 12 : 25 august 2014- 8 september 2014 \| us open \| new york (usa) \| grand slam \| hard \| f \| 1400 \| None \| pending row 13 : 22 september 2014- 27 september 2014 \| toray pan pacific open \| wuhan (chn) \| wta premier 5 \| hard \| 2r \| 60 \| None \| pending row 14 : 27 september 2014- 5 octo \| china open \| beijing (chn) \| wta premier mandatory \| hard \| 1r \| 5 \| None \| pending row 15 : 20 october 2013- 26 \| wta tour championships \| singapore (sin) \| wta tour championships \| hard (i) \| rr \| 400 \| None \| pending ] Execute this SQL based on the above table: select count ( date ) where prev. points >= 1180	2
[ header: district \| name \| party \| residence \| first served row 1 : district 1 \| nelson albano \| dem \| vineland \| 2006 row 2 : district 1 \| robert andrzejcza \| dem \| middle twp \| 2013 row 3 : district 2 \| john f. amodeo \| rep \| margate \| 2008 row 4 : district 4 \| paul moriarty \| dem \| washington twp \| 2006 row 5 : district 4 \| gabriela mosquera \| dem \| blackwood \| 2012 row 6 : district 5 \| angel fuentes \| dem \| camden \| 2010 row 7 : district 7 \| troy singleton \| dem \| palmyra \| 2011 row 8 : district 8 \| scott rudder \| rep \| medford \| 2008 row 9 : district 9 \| dianne gove \| rep \| long beach twp \| 2009 row 10 : district 9 \| brian e. rumpf \| rep \| little egg harbor \| 2003 row 11 : district 10 \| david w. wolfe \| rep \| brick \| 1992 row 12 : district 11 \| caroline casagrande \| rep \| colts neck \| 2008 row 13 : district 13 \| amy handlin \| rep \| lincroft \| 2006 row 14 : district 14 \| wayne deangelo \| dem \| hamilton twp \| 2008 row 15 : district 16 \| donna simon \| rep \| whitehouse station \| 2012 row 16 : district 17 \| upendra j. chivukul \| dem \| somerset \| 2002 row 17 : district 18 \| patrick j. diegnan \| dem \| south plainfield \| 2002 row 18 : district 20 \| joseph cryan \| dem \| union twp \| 2002 row 19 : district 21 \| nancy munoz \| rep \| summit \| 2009 row 20 : district 22 \| jerry green \| dem \| plainfield \| 1992 row 21 : district 22 \| linda stender \| dem \| scotch plains \| 2002 row 22 : district 23 \| john dimaio \| rep \| hackettstown \| 2009 row 23 : district 23 \| erik peterson \| rep \| franklin twp \| 2009 row 24 : district 24 \| alison littell mchose \| rep \| franklin \| 2003 row 25 : district 25 \| tony bucco \| rep \| boonton twp \| 2010 row 26 : district 25 \| michael patrick carroll \| rep \| morris twp \| 1996 row 27 : district 26 \| jay webber \| rep \| morris plains \| 2008 row 28 : district 27 \| john f. mckeon \| dem \| west orange \| 2002 row 29 : district 28 \| cleopatra tucker \| dem \| newark \| 2008 row 30 : district 30 \| sean t. kean \| rep \| wall twp \| 2012 row 31 : district 30 \| dave rible \| rep \| wall \| 2008 row 32 : district 31 \| jason o'donnell \| dem \| bayonne \| 2010 row 33 : district 32 \| angelica m. jimenez \| dem \| west new york \| 2012 row 34 : district 32 \| vincent prieto \| dem \| secaucus \| 2004 row 35 : district 33 \| ruben j. ramos \| dem \| hoboken \| 2008 row 36 : district 34 \| thomas p. giblin \| dem \| montclair \| 2006 row 37 : district 36 \| gary schaer \| dem \| passaic \| 2006 row 38 : district 39 \| bob schroeder \| rep \| washington twp \| 2010 row 39 : district 40 \| scott rumana \| rep \| wayne \| 2008 ] Execute this SQL based on the above table: select first served where district = 'district 8'	2008
[ header: round \| circuit \| date \| pole position \| winning driver \| winning team \| trophy winner row 1 : 1 \| aci vallelunga circuit, camp \| 7 april \| milos pavlovic \| milos pavlovic \| target racing \| nino fama row 2 : 2 \| misano world circuit \| 28 april \| milos pavlovic \| milos pavlovic \| target racing \| giovanni faraonio row 3 : 3 \| autodromo di pergusa, \| 19 may \| milos pavlovic \| philip cloostermans \| azeta racing \| carmine tancredi row 4 : 4 \| autodromo nazionale monza \| 30 june \| philip cloostermans \| philip cloostermans \| azeta racing \| carmine tancredi row 5 : 5 \| autodromo riccardo paletti \| 21 july \| milos pavlovic \| milos pavlovic \| target racing \| carmine tancredi row 6 : 6 \| autodromo enzo e din \| 1 september \| vitantonio liuzzi \| vitantonio liuzzi \| bertram schafer racing \| silvio alberti row 7 : 7 \| autodromo del levante, \| 8 september \| christiano citron \| milos pavlovic \| target racing \| carmine tancredi row 8 : 8 \| mugello circuit, scarperia \| 6 october \| milos pavlovic \| milos pavlovic \| target racing \| dino lusuardi row 9 : 9 \| autodromo dell'umbria \| 20 october \| andreas zuber \| christiano citron \| target racing \| alberto morelli ] Execute this SQL based on the above table: select winning driver order by round desc limit 1	christiano citron
[ header: # \| date \| visitor \| score \| home \| record \| pts row 1 : 2 \| november 4 \| montreal canadiens \| 5-3 \| chicago black hawks \| 0-2-0 \| 0 row 2 : 4 \| november 7 \| chicago black hawks \| 1-5 \| montreal canadiens \| 1-3-0 \| 2 row 3 : 5 \| november 11 \| boston bruins \| 4-6 \| chicago black hawks \| 2-3-0 \| 4 row 4 : 6 \| november 13 \| chicago black hawks \| 4-1 \| toronto maple leafs \| 3-3-0 \| 6 row 5 : 9 \| november 21 \| chicago black hawks \| 2-5 \| detroit red wings \| 5-4-0 \| 10 row 6 : 10 \| november 25 \| detroit red wings \| 3-4 \| chicago black hawks \| 6-4-0 \| 12 row 7 : 12 \| november 30 \| chicago black hawks \| 5-6 \| boston bruins \| 7-5-0 \| 14 row 8 : 13 \| december 2 \| chicago black hawks \| 2-6 \| montreal canadiens \| 7-6-0 \| 14 row 9 : 14 \| december 5 \| new york rangers \| 6-7 \| chicago black hawks \| 8-6-0 \| 16 row 10 : 17 \| december 18 \| chicago black hawks \| 4-8 \| toronto maple leafs \| 9-8-0 \| 18 row 11 : 23 \| january 4 \| chicago black hawks \| 4-6 \| boston bruins \| 10-13-0 \| 20 row 12 : 24 \| january 6 \| chicago black hawks \| 1-6 \| toronto maple leafs \| 10-14-0 \| 20 row 13 : 25 \| january 9 \| chicago black hawks \| 2-4 \| detroit red wings \| 10-15-0 \| 20 row 14 : 27 \| january 16 \| montreal canadiens \| 1-1 \| chicago black hawks \| 11-15-1 \| 23 row 15 : 29 \| january 23 \| toronto maple leafs \| 3-5 \| chicago black hawks \| 12-16-1 \| 25 row 16 : 32 \| january 30 \| detroit red wings \| 2-3 \| chicago black hawks \| 15-16-1 \| 31 row 17 : 34 \| february 5 \| chicago black hawks \| 1-5 \| montreal canadiens \| 16-17-1 \| 33 row 18 : 35 \| february 6 \| chicago black hawks \| 4-4 \| new york rangers \| 16-17-2 \| 34 row 19 : 43 \| march 4 \| chicago black hawks \| 2-6 \| detroit red wings \| 20-19-4 \| 44 row 20 : 44 \| march 5 \| detroit red wings \| 1-6 \| chicago black hawks \| 21-19-4 \| 46 row 21 : 47 \| march 14 \| chicago black hawks \| 4-6 \| boston bruins \| 21-21-5 \| 47 row 22 : 48 \| march 16 \| chicago black hawks \| 2-3 \| montreal canadiens \| 21-22-5 \| 47 row 23 : 49 \| march 18 \| chicago black hawks \| 3-6 \| detroit red wings \| 21-23-5 \| 47 ] Execute this SQL based on the above table: select home order by # asc limit 1	chicago black hawks
[ header: year \| competition \| venue \| position \| notes row 1 : 1996 \| olympic games \| atlanta, united states \| 36th (q) \| 5.55 m row 2 : 1998 \| asian games \| bangkok, thailand \| 8th \| 6.07 m row 3 : 1999 \| world championships \| seville, spain \| 23rd (q) \| 6.40 m row 4 : 2000 \| olympic games \| sydney, australia \| 14th (q) \| 6.57 m row 5 : 2001 \| world championships \| edmonton, canada \| 13th (q) \| 6.46 m row 6 : 2002 \| asian championships \| colombo, sri lan \| 1st \| 6.61 m row 7 : 2002 \| asian games \| busan, south korea \| 3rd \| 6.30 m row 8 : 2003 \| world championships \| paris, france \| 23rd (q) \| 6.13 m row 9 : 2003 \| asian championships \| manila, philippines \| 6th \| 6.23 m row 10 : 2004 \| olympic games \| athens, greece \| 11th \| 6.53 m ] Execute this SQL based on the above table: select year where competition != 'olympic games'	1998, 1999, 2001, 2002, 2002, 2003, 2003
[ header: # \| club \| winner \| last win \| runner-up \| last losing final row 1 : 1 \| esteghlal (taj) \| 6 \| 2012 \| 3 \| 2004 row 2 : 2 \| persepolis \| 5 \| 2011 \| 2 \| 2013 row 3 : 3 \| sepahan \| 4 \| 2013 \| 0 \| None row 4 : 4 \| malavan \| 3 \| 1990 \| 4 \| 2011 row 5 : 5 \| zob ahan \| 2 \| 2009 \| 1 \| 2001 row 6 : 6 \| bahman \| 1 \| 1995 \| 2 \| 2000 row 7 : 6 \| fajr sepasi \| 1 \| 2001 \| 2 \| 2003 row 8 : 6 \| tractor sazi \| 1 \| 2014 \| 2 \| 1995 row 9 : 8 \| bargh shiraz \| 1 \| 1997 \| 1 \| 1996 row 10 : 8 \| saba qom (saba \| 1 \| 2005 \| 1 \| 2007 row 11 : 10 \| saipa \| 1 \| 1994 \| 0 \| None row 12 : 10 \| shahin ahvaz \| 1 \| 1988 \| 0 \| None row 13 : 13 \| homa \| 0 \| None \| 1 \| 1977 row 14 : 13 \| kheibar khorramabad \| 0 \| None \| 1 \| 1986 row 15 : 13 \| jonoob ahvaz \| 0 \| None \| 1 \| 1994 row 16 : 13 \| aboomoslem \| 0 \| None \| 1 \| 2005 row 17 : 13 \| damash (pegah) \| 0 \| None \| 1 \| 2008 row 18 : 13 \| rah ahan \| 0 \| None \| 1 \| 2009 row 19 : 13 \| gostaresh foolad \| 0 \| None \| 1 \| 2010 row 20 : 13 \| shahin bushehr \| 0 \| None \| 1 \| 2012 row 21 : 13 \| mes kerman \| 0 \| None \| 1 \| 2014 ] Execute this SQL based on the above table: select count ( club ) where # >= 1818	0
[ header: term (french) \| description \| temperature range \| temperature range \| usda recommended row 1 : extra-rare or blue (bleu) \| very red and cold \| 46-49 °c \| 115-120 °f \| None row 2 : rare (saignant) \| cold red center; soft \| 52-55 °c \| 125-130 °f \| None row 3 : medium rare (a point) \| warm red center; firmer \| 55-60 °c \| 130-140 °f \| 145 °f row 4 : medium (demi-anglais) \| pink and firm \| 60-65 °c \| 140-150 °f \| 160 °f row 5 : medium well (cuit) \| small amount of pink in the center \| 65-69 °c \| 150-155 °f \| None row 6 : well done (bien cuit) \| gray-brown throughout; firm \| 71-100 °c \| 160-212 °f \| 170 °f row 7 : over cooked (trop cuit, carbonise \| blacken throughout; hard \| > 100 °c \| > 212 °f \| 300 °f ] Execute this SQL based on the above table: select count ( temperature range )	7
[ header: year \| vote % \| place \| seats \| place \| cabinet row 1 : 1945 \| None \| None \| 25 \| 1st \| yes row 2 : 1948 \| None \| None \| 22 \| 1st \| yes row 3 : 1951 \| None \| None \| 21 \| 1st \| yes row 4 : 1954 \| 42.4 \| 1st \| 26 \| 1st \| yes row 5 : 1959 \| 36.9 \| 1st \| 21 \| 1st \| yes row 6 : 1964 \| 33.3 \| 2nd \| 22 \| 1st \| yes row 7 : 1968 \| 35.2 \| 1st \| 21 \| 1st \| yes row 8 : 1974 \| 27.6 \| 2nd \| 18 \| 1st \| no row 9 : 1979 \| 34.5 \| 1st \| 24 \| 1st \| yes row 10 : 1984 \| 34.9 \| 1st \| 25 \| 1st \| yes row 11 : 1989 \| 32.4 \| 1st \| 22 \| 1st \| yes row 12 : 1994 \| 30.3 \| 1st \| 21 \| 1st \| yes row 13 : 1999 \| 30.1 \| 1st \| 19 \| 1st \| yes row 14 : 2004 \| 36.1 \| 1st \| 24 \| 1st \| yes row 15 : 2009 \| 38 \| 1st \| 26 \| 1st \| yes row 16 : 2013 \| 33.6 \| 1st \| 23 \| 1st \| no ] Execute this SQL based on the above table: select place where cabinet = 'no'	1st, 1st
[ header: season \| level \| name \| position \| nationality \| international caps row 1 : 1973 \| 1 \| kevin beattie \| defender \| england \| 9 row 2 : 1974 \| 1 \| kevin beattie \| defender \| england \| 9 row 3 : 1975 \| 1 \| colin viljoen \| midfielder \| england \| 2 row 4 : 1976 \| 1 \| allan hunter \| defender \| northern ireland \| 53 row 5 : 1977 \| 1 \| george burley \| defender \| scotland \| 11 row 6 : 1978 \| 1 \| mick mills \| defender \| england \| 42 row 7 : 1979 \| 1 \| arnold muhren \| midfielder \| netherlands \| 23 row 8 : 1980 \| 1 \| frans thijssen \| midfielder \| netherlands \| 14 row 9 : 1981 \| 1 \| paul cooper \| goalkeeper \| england \| None row 10 : 1982 \| 1 \| alan brazil \| striker \| scotland \| 13 row 11 : 1983 \| 1 \| paul mariner \| striker \| england \| 35 row 12 : 1984 \| 1 \| trevor putney \| midfielder \| england \| None row 13 : 1985 \| 1 \| terry butcher \| defender \| england \| 77 row 14 : 1986 \| 1 \| terry butcher \| defender \| england \| 77 row 15 : 1987 \| 2 \| romeo zondervan \| midfielder \| netherlands \| 6 row 16 : 1988 \| 2 \| frank yallop \| defender \| canada \| 52 row 17 : 1989 \| 2 \| john wark \| midfielder \| scotland \| 29 row 18 : 1990 \| 2 \| john wark \| midfielder \| scotland \| 29 row 19 : 1991 \| 2 \| david linighan \| defender \| england \| None row 20 : 1992 \| 2 \| john wark \| midfielder \| scotland \| 29 row 21 : 1993 \| 1 \| mick stockwell \| midfielder \| england \| None row 22 : 1994 \| 1 \| john wark \| midfielder \| scotland \| 29 row 23 : 1995 \| 1 \| craig forrest \| goalkeeper \| canada \| 56 row 24 : 1996 \| 2 \| simon milton \| midfielder \| england \| None row 25 : 1997 \| 2 \| mauricio taricco \| defender \| argentina \| None row 26 : 1999 \| 2 \| jamie clapham \| defender \| england \| None row 27 : 2000 \| 2 \| james scowcroft \| striker \| england \| None row 28 : 2001 \| 1 \| marcus stewart \| striker \| england \| None row 29 : 2002 \| 1 \| mark venus \| defender \| england \| None row 30 : 2003 \| 2 \| matt holland \| midfielder \| ireland \| 49 row 31 : 2004 \| 2 \| ian westlake \| midfielder \| england \| None row 32 : 2005 \| 2 \| shefki kuqi \| striker \| finland \| 60 row 33 : 2006 \| 2 \| fabian wilnis \| defender \| netherlands \| None row 34 : 2007 \| 2 \| sylvain legwinski \| midfielder \| france \| None row 35 : 2008 \| 2 \| jonathan walters \| striker \| ireland \| 19 row 36 : 2009 \| 2 \| richard wright \| goalkeeper \| england \| 2 row 37 : 2010 \| 2 \| gareth mcauley \| defender \| northern ireland \| 21 row 38 : 2011 \| 2 \| jimmy bullard \| midfielder \| england \| None row 39 : 2012 \| 2 \| aaron cresswell \| defender \| england \| None row 40 : 2013 \| 2 \| tommy smith \| defender \| new zealand \| 22 ] Execute this SQL based on the above table: select position order by nationality + position desc limit 1	defender
[ header: year \| team \| co-drivers \| car \| class \| laps \| pos. \| class pos. row 1 : 2001 \| team den bla avis team goh \| john nielsen hiroki \| dome s101-judd \| lmp900 \| 66 \| dnf \| dnf row 2 : 2003 \| rn motorsport \| john nielsen hayanari \| dba4 03s-zytek \| lmp675 \| 288 \| 22nd \| 2nd row 3 : 2004 \| lister racing \| john nielsen jens \| lister storm lmp-chevrole \| lmp1 \| 279 \| 24th \| 9th row 4 : 2006 \| zytek engineering team essex invest \| john nielsen philip and \| zytek 06s \| lmp1 \| 269 \| nc \| nc row 5 : 2007 \| aston martin racing larbre \| christophe bouchut f \| aston martin dbr \| gt1 \| 341 \| 7th \| 3rd row 6 : 2008 \| team essex \| john nielsen sasch \| porsche rs spyder evo \| lmp2 \| 347 \| 12th \| 2nd row 7 : 2009 \| team essex \| kristian poulsen e \| porsche rs spyder evo \| lmp2 \| 357 \| 10th \| 1st row 8 : 2011 \| hope racing \| steve zacchia jan \| oreca 01-swiss \| lmp1 \| 115 \| dnf \| dnf ] Execute this SQL based on the above table: select pos. where id = ( select id where pos. = '24th' ) + 1	nc
[ header: year \| total \| romanians \| hungarians \| roma row 1 : 1850 \| 4,541 \| 69.3% \| 23.9% \| 6.5% row 2 : 1880 \| 4,636 \| 63.0% \| 30.2% \| None row 3 : 1890 \| 5,499 \| 62.7% \| 31.6% \| None row 4 : 1900 \| 5,553 \| 64.3% \| 29.7% \| None row 5 : 1910 \| 6,234 \| 64.6% \| 30.4% \| None row 6 : 1920 \| 5,887 \| 71.6% \| 27.9% \| None row 7 : 1930 \| 6,456 \| 70.5% \| 22.8% \| 2.6% row 8 : 1941 \| 6,981 \| 78.3% \| 19.4% \| None row 9 : 1956 \| 6,649 \| 74.7% \| 19.0% \| 6.0% row 10 : 1966 \| 6,991 \| 80.9% \| 17.3% \| 1.7% row 11 : 1977 \| 7,089 \| 78.1% \| 16.9% \| 4.9% row 12 : 1992 \| 5,723 \| 74.1% \| 14.2% \| 11.6% row 13 : 2002 \| 5,506 \| 74.4% \| 12.0% \| 13.6% row 14 : 2011 \| 4,574 \| 70.7% \| 11.2% \| 17.9% ] Execute this SQL based on the above table: select romanians where id = ( select id where romanians = '78.1%' ) - 1	80.9%
[ header: year \| host \| champion \| second place \| third place \| fourth place row 1 : 2005 \| ninh binh \| tianjin bridgestone \| chung shan \| korea highway corporation \| rahat cska row 2 : 2006 \| manila \| tianjin bridgestone \| chung shan \| sang som \| rahat cska row 3 : 2008 \| vinh phuc \| tianjin bridgestone \| sang som \| toray arrows \| sobaeksu row 4 : 2009 \| nakhon pathom \| federbrau \| tianjin bridgestone \| toray arrows \| zhetysu almaty row 5 : 2010 \| gresik \| federbrau \| zhetysu almaty \| jt marvelous \| tianjin bridgestone row 6 : 2011 \| vinh phuc \| chang \| tianjin bridgestone \| zhetysu almaty \| thong tin lien viet bank row 7 : 2012 \| nakhon ratchasima \| tianjin bridgestone \| toray arrows \| chang \| zhetysu almaty ] Execute this SQL based on the above table: select year where second place = 'chung shan'	2005, 2006
[ 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 competition = 'friendly'	1, 3, 4, 5, 6, 7
[ header: county \| obama \| votes \| romney \| votes \| others \| votes \| total row 1 : bernalillo \| 55.55% \| 147,183 \| 39.35% \| 104,242 \| 5.10% \| 13,517 \| 264,942 row 2 : catron \| 26.38% \| 560 \| 70.37% \| 1,494 \| 3.25% \| 69 \| 2,123 row 3 : chaves \| 32.28% \| 6,641 \| 64.77% \| 13,327 \| 2.95% \| 607 \| 20,575 row 4 : cibola \| 60.18% \| 4,907 \| 36.37% \| 2,966 \| 3.45% \| 281 \| 8,154 row 5 : colfax \| 49.05% \| 2,828 \| 46.83% \| 2,700 \| 4.11% \| 237 \| 5,765 row 6 : dona ana \| 55.97% \| 36,778 \| 41.07% \| 26,988 \| 2.96% \| 1,946 \| 65,712 row 7 : eddy \| 31.83% \| 6,110 \| 65.36% \| 12,546 \| 2.81% \| 539 \| 19,195 row 8 : grant \| 55.00% \| 7,009 \| 41.48% \| 5,286 \| 3.52% \| 449 \| 12,744 row 9 : guadalupe \| 69.68% \| 1,478 \| 26.12% \| 554 \| 4.20% \| 89 \| 2,121 row 10 : lea \| 23.98% \| 4,080 \| 73.75% \| 12,548 \| 2.27% \| 387 \| 17,015 row 11 : los alamos \| 48.72% \| 5,191 \| 45.02% \| 4,796 \| 6.26% \| 667 \| 10,654 row 12 : luna \| 47.77% \| 3,583 \| 48.93% \| 3,670 \| 3.29% \| 247 \| 7,500 row 13 : mckinley \| 72.08% \| 15,363 \| 25.43% \| 5,420 \| 2.49% \| 530 \| 21,313 row 14 : mora \| 74.85% \| 1,952 \| 22.81% \| 595 \| 2.34% \| 61 \| 2,608 row 15 : otero \| 34.15% \| 6,811 \| 62.23% \| 12,412 \| 3.62% \| 723 \| 19,946 row 16 : quay \| 37.32% \| 1,384 \| 59.39% \| 2,202 \| 3.29% \| 122 \| 3,708 row 17 : roosevelt \| 28.92% \| 1,730 \| 67.73% \| 4,052 \| 3.36% \| 201 \| 5,983 row 18 : san juan \| 34.11% \| 15,688 \| 62.57% \| 28,779 \| 3.32% \| 1,527 \| 45,994 row 19 : san miguel \| 76.86% \| 8,751 \| 20.04% \| 2,281 \| 3.10% \| 353 \| 11,385 row 20 : sandoval \| 50.29% \| 26,976 \| 45.17% \| 24,228 \| 4.53% \| 2,432 \| 53,636 row 21 : santa fe \| 73.37% \| 50,097 \| 22.48% \| 15,351 \| 4.15% \| 2,832 \| 68,280 row 22 : sierra \| 38.49% \| 1,964 \| 57.39% \| 2,928 \| 4.12% \| 210 \| 5,102 row 23 : socorro \| 56.37% \| 4,047 \| 37.89% \| 2,720 \| 5.74% \| 412 \| 7,179 row 24 : taos \| 78.06% \| 11,855 \| 17.84% \| 2,710 \| 4.10% \| 623 \| 15,188 row 25 : torrance \| 37.86% \| 2,414 \| 55.22% \| 3,521 \| 6.92% \| 441 \| 6,376 row 26 : union \| 26.83% \| 472 \| 70.27% \| 1,236 \| 2.90% \| 51 \| 1,759 row 27 : valencia \| 48.73% \| 13,473 \| 46.25% \| 12,788 \| 5.01% \| 1,386 \| 27,647 ] Execute this SQL based on the above table: select romney where votes = 89 order by others desc limit 1	26.12%
[ header: season \| series \| team \| races \| wins \| poles \| fast laps \| points \| pos. row 1 : 2001 \| formula one \| prost \| None \| None \| None \| None \| None \| test driver row 2 : 2001 \| formula 3000 international \| gd racing \| 4 \| 0 \| 0 \| 0 \| 0 \| nc row 3 : 2001 \| world series by nissan \| gd racing \| 6 \| 0 \| 0 \| 1 \| 51 \| 9th row 4 : 2002 \| world series by nissan \| gd racing \| 6 \| 0 \| 0 \| 0 \| 30 \| 13th row 5 : 2003 \| world series by nissan \| gd racing \| 2 \| 0 \| 0 \| 0 \| 0 \| nc row 6 : 2006 \| formula one \| renault \| None \| None \| None \| None \| None \| test driver row 7 : 2007-08 \| a1 grand prix \| a1 team france \| 2 \| 0 \| 0 \| 0 \| 0 \| 4th ] Execute this SQL based on the above table: select races where team = 'gd racing'	4.0, 6.0, 6.0, 2.0
[ header: country \| total gdp (nominal) (billion us$) \| gdp per capita (us$, ppp) \| gdp growth, 2007-2011 (in %) \| hdi row 1 : algeria \| 188.7 \| 8715 \| 2.7 \| 0.733 row 2 : angola \| 101 \| 5930 \| 9.1 \| 0.446 row 3 : benin \| 7.3 \| 1628 \| 3.9 \| 0.437 row 4 : botswana \| 17.6 \| 14753 \| 3 \| 0.654 row 5 : burkina faso \| 10.2 \| 1310 \| 4.9 \| 0.37 row 6 : cameroon \| 25.5 \| 2383 \| 3.1 \| 0.532 row 7 : chad \| 9.5 \| 1531 \| 2.9 \| 0.388 row 8 : comoros \| 0.6 \| 1117 \| 1.5 \| 0.561 row 9 : democratic republic of the congo \| 15.6 \| 375 \| 5.9 \| 0.411 row 10 : congo \| 14.7 \| 4429 \| 4.9 \| 0.548 row 11 : ivory coast \| 24.1 \| 1803 \| 1.1 \| 0.432 row 12 : egypt \| 229.5 \| 6324 \| 5.2 \| 0.708 row 13 : equatorial guinea \| 19.8 \| 36515 \| 8.8 \| 0.642 row 14 : eritrea \| 2.6 \| 589 \| 1.3 \| 0.483 row 15 : ethiopia \| 31.7 \| 1116 \| 9.7 \| 0.406 row 16 : gabon \| 17.1 \| 15960 \| 3.6 \| 0.677 row 17 : ghana \| 39.2 \| 1884 \| 8.3 \| 0.553 row 18 : guinea \| 5.1 \| 1128 \| 2.4 \| 0.456 row 19 : guinea-bissau \| 1 \| 1251 \| 3.6 \| 0.374 row 20 : kenya \| 33.6 \| 1718 \| 4.2 \| 0.521 row 21 : lesotho \| 2.4 \| 1715 \| 4.9 \| 0.549 row 22 : liberia \| 1.2 \| 577 \| 11.6 \| None row 23 : libya \| 62.4 (2009) \| 16,855 (2009) \| 4 \| 0.769 row 24 : malawi \| 5.7 \| 918 \| 6.8 \| 0.437 row 25 : mali \| 10.6 \| 1099 \| 4.5 \| 0.38 row 26 : mauritania \| 4.1 \| 2571 \| 2.8 \| 0.55 row 27 : mauritius \| 11.3 \| 14523 \| 4.5 \| 0.804 row 28 : morocco \| 100.2 \| 4986 \| 4.3 \| 0.646 row 29 : mozambique \| 12.8 \| 982 \| 6.9 \| 0.384 row 30 : namibia \| 12.3 \| 6826 \| 3.7 \| 0.65 row 31 : niger \| 6 \| 732 \| 4.3 \| 0.374 row 32 : nigeria \| 235.9 \| 2532 \| 6.8 \| 0.67 row 33 : reunion (france) \| 15.98 \| 8,233 (nominal) \| None \| 0.850 (2003) row 34 : rwanda \| 6.4 \| 1251 \| 7.3 \| 0.452 row 35 : sao tome and principe \| 0.2 \| 2058 \| 5.7 \| 0.654 row 36 : senegal \| 14.3 \| 1981 \| 3.5 \| 0.499 row 37 : seychelles \| 1 \| 26420 \| 4.2 \| 0.843 row 38 : sierra leone \| 2.2 \| 877 \| 5.2 \| 0.336 row 39 : somalia \| (n/a) \| None \| None \| None row 40 : south africa \| 408.2 \| 11035 \| 2.7 \| 0.674 row 41 : south sudan \| None \| None \| None \| None row 42 : sudan \| 55.1 \| 2141 \| 4.1 \| 0.526 row 43 : swaziland \| 4 \| 6099 \| 2.1 \| 0.547 row 44 : tanzania \| 23.7 \| 1521 \| 6.8 \| 0.467 ] Execute this SQL based on the above table: select gdp per capita (us$, ppp) where country = 'sao tome and principe'	2058
[ header: year \| team \| co-drivers \| car \| class \| laps \| pos. \| class pos. row 1 : 2001 \| team den bla avis team goh \| john nielsen hiroki \| dome s101-judd \| lmp900 \| 66 \| dnf \| dnf row 2 : 2003 \| rn motorsport \| john nielsen hayanari \| dba4 03s-zytek \| lmp675 \| 288 \| 22nd \| 2nd row 3 : 2004 \| lister racing \| john nielsen jens \| lister storm lmp-chevrole \| lmp1 \| 279 \| 24th \| 9th row 4 : 2006 \| zytek engineering team essex invest \| john nielsen philip and \| zytek 06s \| lmp1 \| 269 \| nc \| nc row 5 : 2007 \| aston martin racing larbre \| christophe bouchut f \| aston martin dbr \| gt1 \| 341 \| 7th \| 3rd row 6 : 2008 \| team essex \| john nielsen sasch \| porsche rs spyder evo \| lmp2 \| 347 \| 12th \| 2nd row 7 : 2009 \| team essex \| kristian poulsen e \| porsche rs spyder evo \| lmp2 \| 357 \| 10th \| 1st row 8 : 2011 \| hope racing \| steve zacchia jan \| oreca 01-swiss \| lmp1 \| 115 \| dnf \| dnf ] Execute this SQL based on the above table: select car where id = 1	dome s101-judd
[ header: week \| date \| opponent \| result \| attendance row 1 : 1 \| september 15, 1974 \| new york jets \| w 24-16 \| 74,854 row 2 : 2 \| september 22, 1974 \| at oakland raiders \| l 27-7 \| 48,108 row 3 : 3 \| september 29, 1974 \| at houston oilers \| w 17-7 \| 28,538 row 4 : 4 \| october 6, 1974 \| denver broncos \| l 17-14 \| 67,298 row 5 : 5 \| october 13, 1974 \| pittsburgh steelers \| l 34-24 \| 65,517 row 6 : 6 \| october 20, 1974 \| at miami dolphins \| l 9-3 \| 67,779 row 7 : 7 \| october 27, 1974 \| at san diego chargers \| w 24-14 \| 34,371 row 8 : 8 \| november 3, 1974 \| new york giants \| l 33-27 \| 61,437 row 9 : 9 \| november 10, 1974 \| san diego chargers \| l 14-7 \| 48,551 row 10 : 10 \| november 18, 1974 \| at denver broncos \| w 42-34 \| 50,236 row 11 : 11 \| november 24, 1974 \| at cincinnati bengals \| l 33-6 \| 49,777 row 12 : 12 \| december 1, 1974 \| at st. louis cardinals \| w 17-13 \| 41,863 row 13 : 13 \| december 8, 1974 \| oakland raiders \| l 7-6 \| 60,577 row 14 : 14 \| december 14, 1974 \| minnesota vikings \| l 35-15 \| 35,480 ] Execute this SQL based on the above table: select result order by result desc limit 1	w 42-34
[ 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 role where english title = 'to asuka and to the unseen child'	sawamura kazuya
[ header: year \| album details \| peak chart positions us billboard 200 \| peak chart positions us christian \| peak chart positions us heatseekers row 1 : 2001 \| the moon is down released: march 27, 2001 label \| None \| None \| None row 2 : 2003 \| how to start a fire released: febru \| 133 \| 6 \| 1 row 3 : 2004 \| hide nothing released: august 24, 2004 label: tooth \| 122 \| 4 \| 3 row 4 : 2012 \| penny black released: october 23, \| 62 \| 3 \| None ] Execute this SQL based on the above table: select album details where peak chart positions us christian = 3	penny black released: october 23, 2012 label: rise format: cd
[ header: rank \| cyclist \| team \| laps down \| notes row 1 : 1 \| iryna shpylova \| ukraine \| None \| q row 2 : 2 \| jessie daams \| belgium \| None \| q row 3 : 3 \| eunmi park \| south korea \| -1 \| q row 4 : 4 \| evgeniya romanyu \| russia \| -1 \| q row 5 : 5 \| andrea wolfer \| switzerland \| -1 \| q row 6 : 6 \| giorgia bronzini \| italy \| -1 \| q row 7 : 7 \| leire olaberria dorrons \| spain \| -1 \| q row 8 : 8 \| joanne kiesanowski \| new zealand \| -1 \| q row 9 : 9 \| dulce pliego \| mexico \| -1 \| q row 10 : 10 \| jessie maclean \| verducci breakaway racing \| -1 \| q row 11 : 11 \| lisa brennauer \| germany \| -1 \| q row 12 : 12 \| ashlee ankudinoff \| australia \| -1 \| q row 13 : 13 \| wan yiu jamie wong \| hong kong \| -1 \| None row 14 : 14 \| lauren franges \| united states \| -1 \| None row 15 : 15 \| skye lee armstrong \| rodin \| -1 \| None row 16 : 16 \| rosy mccall \| gis \| -1 \| None row 17 : 17 \| fatehah mustapa \| malaysia \| -1 \| None row 18 : 18 \| yekatsiryna bar \| belarus \| -1 \| None ] Execute this SQL based on the above table: select notes where id = ( select id where notes = 'q' ) + 1	q
[ 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 name(s) order by id desc limit 1	united states lightship lv-72
[ header: no. in series \| no. in season \| title \| directed by \| written by \| original air date \| production code \| u.s. viewers (millions) row 1 : 1 \| 1 \| "pilot" \| jace alexander \| matt nix \| june 28, 2007 \| bn100 \| 4 row 2 : 2 \| 2 \| "identity" \| rod hardy \| matt nix \| july 5, 2007 \| bn101 \| 4 row 3 : 3 \| 3 \| "fight or flight" \| colin bucksey \| craig o'neill \| july 12, 2007 \| bn103 \| None row 4 : 4 \| 4 \| "old friends" \| david solomon \| alfredo barrios, jr \| july 19, 2007 \| bn102 \| None row 5 : 5 \| 5 \| "family business" \| sandy bookstaver \| matt nix \| july 26, 2007 \| bn104 \| None row 6 : 6 \| 6 \| "unpaid debts" \| paul holahan \| nick thiel \| august 2, 2007 \| bn105 \| 4.41 row 7 : 7 \| 7 \| "broken rules" \| tim matheson \| mere smith \| august 9, 2007 \| bn106 \| None row 8 : 8 \| 8 \| "wanted man" \| ken girotti \| craig o'neill \| august 16, 2007 \| bn107 \| None row 9 : 9 \| 9 \| "hard bargain" \| john kretchmer \| alfredo barrios, jr \| august 23, 2007 \| bn108 \| 4.08 row 10 : 10 \| 10 \| "false flag" \| paul shapiro \| matt nix & ben wa \| september 13, 2007 \| bn109 \| 4 row 11 : 11 \| 11 \| "dead drop" \| jeremiah chechik \| craig o'neill \| september 20, 2007 \| bn110 \| 4.8 row 12 : 12 \| 12 \| "loose ends" \| stephen surjik \| matt nix & alfred \| september 20, 2007 \| bn111 \| 4.8 ] Execute this SQL based on the above table: select written by where u.s. viewers (millions) - no. in series = 2	matt nix
[ header: round \| circuit \| date \| pole position \| winning driver \| winning team \| trophy winner row 1 : 1 \| aci vallelunga circuit, camp \| 7 april \| milos pavlovic \| milos pavlovic \| target racing \| nino fama row 2 : 2 \| misano world circuit \| 28 april \| milos pavlovic \| milos pavlovic \| target racing \| giovanni faraonio row 3 : 3 \| autodromo di pergusa, \| 19 may \| milos pavlovic \| philip cloostermans \| azeta racing \| carmine tancredi row 4 : 4 \| autodromo nazionale monza \| 30 june \| philip cloostermans \| philip cloostermans \| azeta racing \| carmine tancredi row 5 : 5 \| autodromo riccardo paletti \| 21 july \| milos pavlovic \| milos pavlovic \| target racing \| carmine tancredi row 6 : 6 \| autodromo enzo e din \| 1 september \| vitantonio liuzzi \| vitantonio liuzzi \| bertram schafer racing \| silvio alberti row 7 : 7 \| autodromo del levante, \| 8 september \| christiano citron \| milos pavlovic \| target racing \| carmine tancredi row 8 : 8 \| mugello circuit, scarperia \| 6 october \| milos pavlovic \| milos pavlovic \| target racing \| dino lusuardi row 9 : 9 \| autodromo dell'umbria \| 20 october \| andreas zuber \| christiano citron \| target racing \| alberto morelli ] Execute this SQL based on the above table: select count ( * ) where round >= 480	0
[ header: stage \| date \| route \| terrain \| length \| winner row 1 : p \| 1 july \| saint-brieuc \| individual time trial \| 7.3 km (4.5 mi) \| jacky durand (fra) row 2 : 1 \| 2 july \| dinan - lannion \| plain stage \| 233.5 km (145.1 mi) \| fabio baldato (it row 3 : 2 \| 3 july \| perros-guirec - vitre \| plain stage \| 235.5 km (146.3 mi) \| mario cipollini (ita row 4 : 3 \| 4 july \| mayenne - alencon \| team time trial \| 67.0 km (41.6 mi) \| gewiss-ballan (ita row 5 : 4 \| 5 july \| alencon - le havre \| plain stage \| 162.0 km (100.7 mi) \| mario cipollini (ita row 6 : 5 \| 6 july \| fecamp - dunkerque \| plain stage \| 261.0 km (162.2 mi) \| jeroen blijlevens row 7 : 6 \| 7 july \| dunkerque - charlero \| plain stage \| 202.0 km (125.5 mi) \| erik zabel (ger) row 8 : 7 \| 8 july \| charleroi - liege \| hilly stage \| 203.0 km (126.1 mi) \| johan bruyneel row 9 : 8 \| 9 july \| huy - seraing \| individual time trial \| 54.0 km (33.6 mi) \| miguel indurain (es row 10 : 9 \| 11 july \| le grand-bornand - la plagne \| stage with mountain(s) \| 160.0 km (99.4 mi) \| alex zulle (sui) row 11 : 10 \| 12 july \| la plagne - l'alpe \| stage with mountain(s) \| 162.5 km (101.0 mi) \| marco pantani (ita) row 12 : 11 \| 13 july \| le bourg-d'oisans \| hilly stage \| 199.0 km (123.7 mi) \| maximilian sciandri (gb row 13 : 12 \| 14 july \| saint-etienne - mende \| hilly stage \| 222.5 km (138.3 mi) \| laurent jalabert (fra row 14 : 13 \| 15 july \| mende - revel \| plain stage \| 245.0 km (152.2 mi) \| serhiy utchakov ( row 15 : 14 \| 16 july \| saint-orens-de-gameville \| stage with mountain(s) \| 164.0 km (101.9 mi) \| marco pantani (ita) row 16 : 15 \| 18 july \| saint-girons - cautere \| stage with mountain(s) \| 206.0 km (128.0 mi) \| richard virenque (fra row 17 : 16 \| 19 july \| tarbes - pau \| stage with mountain(s) \| 149.0 km (92.6 mi) \| cancelled row 18 : 17 \| 20 july \| pau - bordeaux \| plain stage \| 246.0 km (152.9 mi) \| erik zabel (ger) row 19 : 18 \| 21 july \| montpon-menesterol - lim \| plain stage \| 166.5 km (103.5 mi) \| lance armstrong (usa) row 20 : 19 \| 22 july \| lac de vassiviere - lac \| individual time trial \| 46.5 km (28.9 mi) \| miguel indurain (es ] Execute this SQL based on the above table: select route where stage = 2 - 1	dinan - lannion
[ header: margin \| teams \| venue \| season row 1 : 192 runs \| kent (205 & 512-9 \| county ground, chelmsford \| 2009 row 2 : 72 runs \| kent (117 & 332) beat \| woodbridge road, guildford \| 1992 row 3 : 57 runs \| kent (151 & 348) beat \| hesketh park, dartford \| 1976 row 4 : 36 runs \| kent (127 & 198) \| st lawrence ground, canter \| 1893 row 5 : 24 runs \| kent (115 & 389) beat \| mote park, maidstone \| 1925 row 6 : 16 runs \| kent (120 & 176) beat \| mote park, maidstone \| 1863 ] Execute this SQL based on the above table: select max ( venue )	woodbridge road, guildford
[ header: round \| pick \| player \| pos. \| nationality \| team \| aba team \| signing price row 1 : 1 \| 1 \| artis gilmore^ \| c \| united states \| chicago bulls \| kentucky colonels \| $ 1,100,000 row 2 : 1 \| 2 \| maurice lucas \| f/c \| united states \| portland trail blazers (from \| kentucky colonels \| $ 300,000 row 3 : 1 \| 3 \| ron boone \| g/f \| united states \| kansas city kings \| spirits of st. louis \| $ 250,000 row 4 : 1 \| 4 \| marvin barnes \| f/c \| united states \| detroit pistons \| spirits of st. louis \| $ 500,000 row 5 : 1 \| 5 \| moses malone^ \| f/c \| united states \| portland trail blazers \| spirits of st. louis \| $ 350,000 row 6 : 1 \| 6 \| randy denton \| c \| united states \| new york knicks \| spirits of st. louis \| $ 50,000 row 7 : 1 \| 7 \| bird averitt \| g \| united states \| buffalo braves (from milwaukee \| kentucky colonels \| $ 125,000 row 8 : 1 \| 8 \| wil jones \| f \| united states \| indiana pacers \| kentucky colonels \| $ 50,000 row 9 : 1 \| 9 \| ron thomas \| g/f \| united states \| houston rockets \| kentucky colonels \| $ 15,000 row 10 : 1 \| 10 \| louie dampier \| g \| united states \| san antonio spurs \| kentucky colonels \| $ 20,000 row 11 : 1 \| 11 \| jan van breda kolf \| g/f \| united states \| new york nets \| kentucky colonels \| $ 60,000 row 12 : 2 \| 12 \| mike barr \| g \| united states \| kansas city kings \| spirits of st. louis \| $ 15,000 ] Execute this SQL based on the above table: select count ( signing price ) where round >= 1494	0
[ header: \| year \| city \| country \| date \| venue \| no. of events \| no. of athletes row 1 : 1st \| 2000 \| monterrey \| mexico \| august 3-5 \| universidad autonoma de nuevo \| 45 \| 184 row 2 : 2nd \| 2002 \| san antonio \| united states \| august 9-11 \| e.m. stevens stadium \| 45 \| 245 row 3 : 3rd \| 2004 \| sherbrooke \| canada \| july 30 - august 1 \| universite de sherbrooke stadium \| 42 \| 243 row 4 : 4th \| 2006 \| santo domingo \| dominican republic \| july 7-9 \| estadio felix san \| 44 \| 373 row 5 : 5th \| 2008 \| toluca \| mexico \| july 18-20 \| estadio universitario alber \| 44 \| None row 6 : 6th \| 2010 \| miramar \| united states \| july 9-11 \| ansin sports complex \| 44 \| None row 7 : 7th \| 2012 \| irapuato \| mexico \| july 6-8 \| centro paralimpico nacional \| 44 \| None row 8 : 8th \| 2014 \| kamloops \| canada \| august 8-10 \| hillside stadium \| None \| None ] Execute this SQL based on the above table: select count ( city ) where = '6th'	1
[ 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 species order by species desc limit 1	white spruce
[ header: week \| date \| opponent \| result \| game site \| attendance \| bye row 1 : 1 \| september 3, 1995 \| at miami dolphins \| l 52-14 \| joe robbie stadium \| 71317 \| 0 row 2 : 2 \| september 10, 1995 \| indianapolis colts \| l 27-24 (ot) \| the meadowlands \| 65134 \| 0 row 3 : 3 \| september 17, 1995 \| jacksonville jaguars \| w 27-10 \| the meadowlands \| 49970 \| 0 row 4 : 4 \| september 24, 1995 \| at atlanta falcons \| l 13-3 \| georgia dome \| 40778 \| 0 row 5 : 5 \| october 1, 1995 \| oakland raiders \| l 47-10 \| the meadowlands \| 68941 \| 0 row 6 : 6 \| october 8, 1995 \| at buffalo bills \| l 29-10 \| rich stadium \| 79485 \| 0 row 7 : 7 \| october 15, 1995 \| at carolina panthers \| l 26-15 \| memorial stadium \| 52613 \| 0 row 8 : 8 \| october 22, 1995 \| miami dolphins \| w 17-16 \| the meadowlands \| 67228 \| 0 row 9 : 9 \| october 29, 1995 \| at indianapolis colts \| l 17-10 \| rca dome \| 49250 \| 0 row 10 : 10 \| november 5, 1995 \| new england patriots \| l 20-7 \| the meadowlands \| 61462 \| 0 row 11 : 11 \| None \| None \| None \| None \| None \| 1 row 12 : 12 \| november 19, 1995 \| buffalo bills \| l 28-26 \| the meadowlands \| 54436 \| 0 row 13 : 13 \| november 26, 1995 \| at seattle seahawks \| w 16-10 \| kingdome \| 41160 \| 0 row 14 : 14 \| december 3, 1995 \| st. louis rams \| l 23-20 \| the meadowlands \| 52023 \| 0 row 15 : 15 \| december 10, 1995 \| at new england patriots \| l 31-28 \| foxboro stadium \| 46617 \| 0 row 16 : 16 \| december 17, 1995 \| at houston oilers \| l 23-6 \| astrodome \| 35873 \| 0 row 17 : 17 \| december 24, 1995 \| new orleans saints \| l 12-0 \| the meadowlands \| 28885 \| 0 ] Execute this SQL based on the above table: select min ( date ) where bye = 0 and date = 'november 26, 1995'	1995
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 10 january 1996 \| edison international field, ana \| honduras \| 1-0 \| 3-1 \| 1996 concacaf gold cup row 2 : 2 \| 30 august 1996 \| commonwealth stadium, edmont \| panama \| 3-1 \| 3-1 \| 1998 fifa world cup qualification row 3 : 3 \| 12 october 1997 \| commonwealth stadium, edmont \| mexico \| 2-1 \| 2-2 \| 1998 fifa world cup qualification row 4 : 4 \| 8 october 1999 \| los angeles memorial coliseum \| el salvador \| 1-0 \| 2-1 \| 2000 concacaf gold cup qualification play off row 5 : 5 \| 10 october 1999 \| los angeles memorial coliseum \| haiti \| 1-0 \| 2-1 \| 2000 concacaf gold cup qualification play off row 6 : 6 \| 10 october 1999 \| los angeles memorial coliseum \| haiti \| 2-0 \| 2-2 \| 2000 concacaf gold cup qualification play off row 7 : 7 \| 13 february 2000 \| qualcomm stadium, san die \| costa rica \| 1-1 \| 2-2 \| 2000 concacaf gold cup row 8 : 8 \| 13 february 2000 \| qualcomm stadium, san die \| costa rica \| 2-2 \| 2-2 \| 2000 concacaf gold cup row 9 : 9 \| 20 february 2000 \| qualcomm stadium, san die \| mexico \| 1-1 \| 2-1 \| 2000 concacaf gold cup row 10 : 10 \| 27 february 2000 \| los angeles memorial coliseum \| colombia \| 2-0 \| 2-0 \| 2000 concacaf gold cup row 11 : 11 \| 18 january 2004 \| bridgetown, barbados \| barbados \| 1-0 \| 1-0 \| friendly match ] Execute this SQL based on the above table: select count ( distinct # )	11
[ header: speed [km/h (mph)] \| train \| type \| location \| date \| comments row 1 : 504 (313.2) \| ml-500 \| maglev \| miyazaki maglev test track \| 12 december 1979 \| None row 2 : 517 (321.2) \| ml-500 \| maglev \| miyazaki maglev test track \| 21 december 1979 \| None row 3 : 352.4 (219.0) \| mlu001 \| maglev \| miyazaki maglev test track \| january 1986 \| three-car train set row 4 : 405.3 (251.8) \| mlu001 \| maglev \| miyazaki maglev test track \| january 1987 \| two-car train set row 5 : 431 (267.8) \| mlu002n \| maglev \| miyazaki maglev test track \| february 1994 \| single-car row 6 : 550 (341.8) \| mlx01 \| maglev \| yamanashi maglev test line \| 24 december 1997 \| three-car train set row 7 : 548 (340.5) \| mlx01 \| maglev \| yamanashi maglev test line \| 18 march 1999 \| five-car train set ] Execute this SQL based on the above table: select count ( speed [km/h (mph)] ) where date = 1173	0
[ header: position \| song title \| artist \| sales \| highest position row 1 : 1 \| unchained melody/white cliffs \| robson green & jerome flyn \| 1,844,000 \| 1 row 2 : 2 \| gangsta's paradise \| coolio featuring l.v \| 1,110,000 \| 1 row 3 : 3 \| i believe/up on the roof \| robson green & jerome flyn \| 1,049,000 \| 1 row 4 : 4 \| back for good \| take that \| 960,000 \| 1 row 5 : 5 \| think twice \| celine dion \| 928,000 \| 1 row 6 : 6 \| fairground \| simply red \| 782,000 \| 1 row 7 : 7 \| you are not alone \| michael jackson \| 714,000 \| 1 row 8 : 8 \| earth song \| michael jackson \| 802,000 \| 1 row 9 : 9 \| missing \| everything but the girl \| 696,000 \| 3 row 10 : 10 \| wonderwall \| oasis \| 665,000 \| 2 row 11 : 11 \| boom boom boom \| outhere brothers \| 652,000 \| 1 row 12 : 12 \| country house \| blur \| 642,000 \| 1 row 13 : 13 \| father and son \| boyzone \| 620,000 \| 2 row 14 : 14 \| don't stop (wiggle wiggle \| outhere brothers \| 617,000 \| 1 row 15 : 15 \| boombastic \| shaggy \| 557,000 \| 1 row 16 : 16 \| cotton eye joe \| rednex \| 512,000 \| 1 row 17 : 17 \| set you free \| n-trance \| 503,000 \| 2 row 18 : 18 \| living next door to alice \| smokie featuring roy ch \| 495,000 \| 3 row 19 : 19 \| hold me, thrill me, kiss me, kill \| u2 \| 471,000 \| 2 row 20 : 20 \| roll with it \| oasis \| 456,000 \| 2 row 21 : 21 \| guaglione \| perez 'prez' prado \| 445,000 \| 2 row 22 : 22 \| i'll be there for you \| the rembrandts \| 421,000 \| 3 row 23 : 23 \| two can play that game \| bobby brown \| 413,000 \| 3 row 24 : 24 \| here comes the hotstepper \| ini kamoze \| 407,000 \| 4 row 25 : 25 \| shy guy \| diana king \| 405,000 \| 2 row 26 : 26 \| it's oh so quiet \| bjork \| 404,000 \| 4 row 27 : 27 \| never forget \| take that \| 403,000 \| 1 row 28 : 28 \| don't give me your life \| alex party \| 395,000 \| 2 row 29 : 29 \| waterfalls \| tlc \| 355,000 \| 4 row 30 : 30 \| scatman (ski ba bop ba \| scatman john \| 352,000 \| 2 row 31 : 31 \| some might say \| oasis \| 346,000 \| 1 row 32 : 32 \| you'll see \| madonna \| 342,000 \| 5 row 33 : 33 \| thunder \| east 17 \| 339,000 \| 4 row 34 : 34 \| stayin' alive \| n-trance featuring ricardo \| 335,000 \| 2 row 35 : 35 \| i'd lie for you (and that \| meat loaf \| 334,000 \| 2 row 36 : 36 \| common people \| pulp \| 326,000 \| 2 row 37 : 37 \| fantasy \| mariah carey \| 323,000 \| 4 row 38 : 38 \| i've got a little something for \| mn8 \| 317,000 \| 2 row 39 : 39 \| kiss from a rose/i'm alive \| seal \| 310,000 \| 4 row 40 : 40 \| dreamer \| livin' joy \| 303,000 \| 1 ] Execute this SQL based on the above table: select artist where artist in ( 'ini kamoze' , 'coolio featuring l.v' ) order by sales desc limit 1	ini kamoze
[ header: year \| english title \| chinese title \| role \| notes row 1 : 1990 \| wandering heroes \| 游侠儿 - you xia er \| xiao guai \| None row 2 : 1995 \| forever friends \| 四个不平凡的少年 - si ge bu ping fan \| luo zhi j \| None row 3 : 1996 \| flirting expert \| 泡妞专家 - pao niu \| xiao pei \| None row 4 : 1996 \| pale sun \| 情色 - qing se \| lao wu \| None row 5 : 1998 \| red bride \| 红娘 - hong niang \| zhang jun rui \| None row 6 : 1999 \| winner takes all \| 大赢家 - da ying ji \| shi sheng zi \| None row 7 : 1999 \| cotton fleece \| 白棉花 - bai mian h \| ma cheng gong \| None row 8 : 2000 \| devoted to you \| 初恋的故事 - chu lian de \| yu hai \| None row 9 : 2002 \| reunion \| 手足情深 - shou zu q \| ka chung \| None row 10 : 2003 \| grandpa's home \| 爷爷的家 - ye ye \| xin qiang gong an \| None row 11 : 2005 \| taklamakan \| 塔克拉玛干 - takelamagan \| cheng cheng (成成) \| None row 12 : 2008 \| fit lover \| 爱情呼叫转移ii:爱情左右 - a \| guo ying (郭影) \| None row 13 : 2009 \| l-o-v-e \| 爱到底 - ai dao di \| None \| guest star row 14 : 2009 \| a singing fairy \| 寻找刘三姐 - xun zha \| wei wende (韦文德) \| None row 15 : 2009 \| the message \| 风声 - feng sheng \| bai xiaonian (白小年) \| aka "sound of the wind" row 16 : 2009 \| the star and the sea \| 星海 - xinghai \| xiao youmei (萧友梅) \| aka "the musician" row 17 : 2010 \| the four cupids \| 四个丘比特 - si ge qiu \| qi bolin (齐泊霖) \| None row 18 : 2010 \| secret battleground \| 孤岛秘密战 - gu dao mi mi \| japanese officer \| None row 19 : 2010 \| the love song of kang ding \| 康定情歌 - kang ding \| li su jie \| None row 20 : 2010 \| lost in panic room \| 密室之不可告人 - mi shi zi bu \| liu feiyun \| None row 21 : 2011 \| deng enming's childhood \| 少年邓恩铭 - shao nian den \| None \| None row 22 : 2012 \| design of death \| 杀生 - sha sheng \| longevity town doctor \| previous title: 长寿镇 - chang row 23 : 2012 \| the assassins \| 铜雀台 - tong que ta \| emperor xian (獻帝) \| alt pinyin: tong qi row 24 : 2012 \| back to 1942 \| 一九四二 - yi ji \| song ziwen (宋子文) \| None row 25 : 2012 \| three unmarried mothers \| 三个未婚妈妈 - san ge wei \| None \| None row 26 : 2013 \| sweet alibis \| 甜蜜殺機 \| 王志毅 - wang zhi \| None ] Execute this SQL based on the above table: select role where year in ( 2003 , 1995 )	luo zhi jian, xin qiang gong an
[ header: name \| gauge \| builder \| type \| date \| works number \| notes row 1 : no.774 \| 2 ft (610 mm) \| baguley \| 4wpm \| 1919 \| 774 \| undergoing restoration, not on display, purchased 1998 row 2 : dot \| 18 in (457 mm) \| beyer peacock \| 0-4-0wt \| 1887 \| 2817 \| built for the internal gorton locomotive works of be row 3 : rough pup \| 2 ft (610 mm) \| hunslet \| 0-4-0st \| 1891 \| 541 \| built for the dinorwic quarry railway. row 4 : no. 13 \| 1 ft 10 in (560 mm \| william spence ltd \| 0-4-0t \| 1895 \| None \| one of a fleet of overtype locomotives row 5 : george henry \| 1 ft 10 3⁄4 in (5 \| de winton \| 0-4-0vb \| 1877 \| None \| ex-penrhyn quarry locomotive. row 6 : jubilee 1897 \| 1 ft 11 1⁄2 in (5 \| manning wardle \| 0-4-0st \| 1897 \| 1382 \| built for the cilgwyn quarry in row 7 : dundee gasworks no.2 \| 1 ft 11 1⁄2 in (5 \| kerr stuart \| 0-4-0wt \| 1907 \| 720 \| built for the dundee gasworks railway ] Execute this SQL based on the above table: select count ( notes ) where date >= 191	7
[ header: # \| name \| alma mater \| birth date \| marriage date \| president \| tenure \| tenure row 1 : 1 \| jiang qing \| shandong provincial experimental theatre \| 19 march 1914 \| 20 november 1938 \| mao zedong \| 27 september 1954 \| 27 april 1959 row 2 : 2 \| wang guangmei \| fu jen catholic university \| 26 september 1921 \| 21 august 1948 \| liu shaoqi \| 27 april 1959 \| 21 october 1968 row 3 : 3 \| he lianying \| None \| None \| None \| dong biwu \| 31 october 1968 \| 17 january 1975 row 4 : 4 \| lin jiamei \| tong de medical college \| 1924 \| None \| li xiannian \| 18 june 1983 \| 8 april 1988 row 5 : 5 \| wang yeping \| shanghai foreign language institute \| february 1928 \| december 1949 \| jiang zemin \| 27 march 1993 \| 15 march 2003 row 6 : 6 \| liu yongqing \| tsinghua university \| 1940 \| february 1970 \| hu jintao \| 15 march 2003 \| 14 march 2013 row 7 : 7 \| peng liyuan \| china conservatory of music \| 20 november 1962 \| 1 september 1987 \| xi jinping \| 14 march 2013 \| incumbent ] Execute this SQL based on the above table: select alma mater order by tenure desc limit 1	shandong provincial experimental theatre
[ 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 name order by time (hand) desc limit 1	alfred maasik
[ header: city/municipality \| city/municipality \| no. of barangays \| area (hectares) \| population (2010) \| income class (2010) \| mayor (2010-2013) row 1 : None \| baao \| 30 \| 10663 \| 54971 \| 3rd class \| melquiades i. gait row 2 : None \| balatan \| 17 \| 9309 \| 28699 \| 4th class \| ernesto a. bagas row 3 : None \| bato \| 33 \| 10712 \| 48306 \| 3rd class \| jeanette r. bernal row 4 : None \| buhi \| 38 \| 24665 \| 73809 \| 1st class \| rey p. lacoste row 5 : None \| bula \| 33 \| 16764 \| 68011 \| 2nd class \| benjamin s. decen row 6 : None \| calabanga \| 48 \| 16380 \| 78119 \| 1st class \| eduardo severo row 7 : None \| camaligan \| 13 \| 468 \| 22254 \| 5th class \| marilou marquez-hirose row 8 : None \| caramoan \| 49 \| 27600 \| 44945 \| 2nd class \| constantino h. cordial, row 9 : None \| gainza \| 8 \| 1475 \| 10345 \| 5th class \| william angeles abilay row 10 : None \| garchitorena \| 23 \| 24380 \| 25204 \| 4th class \| solon o.demetriou j row 11 : None \| goa \| 34 \| 20618 \| 58503 \| 2nd class \| antero s. lim row 12 : None \| iriga city \| 36 \| 13735 \| 105919 \| 4th class \| madeleine a. gazmen row 13 : None \| lagonoy \| 38 \| 37790 \| 51814 \| 2nd class \| delfin r. pilapil row 14 : None \| libmanan \| 75 \| 34282 \| 100002 \| 1st class \| marilyn a. jimenez row 15 : None \| lupi \| 38 \| 19912 \| 30118 \| 3rd class \| raul m. matamoros row 16 : None \| magarao \| 15 \| 4497 \| 24274 \| 4th class \| salvador a. senar row 17 : None \| milaor \| 20 \| 3364 \| 28474 \| 4th class \| rogelio a. row 18 : None \| nabua \| 42 \| 9620 \| 80111 \| 1st class \| delia c. simbulan row 19 : 25px \| naga city \| 27 \| 8448 \| 174931 \| 2nd class \| john g. bongat row 20 : None \| ocampo \| 25 \| 11833 \| 43523 \| 3rd class \| fidel c. carido row 21 : None \| pamplona \| 17 \| 8060 \| 34471 \| 4th class \| gimeno a. imperial row 22 : None \| pasacao \| 19 \| 14954 \| 45946 \| 3rd class \| asuncion v. arseni row 23 : None \| pili \| 26 \| 12625 \| 82307 \| 1st class \| tomas p. bongalonta, row 24 : None \| presentacion \| 18 \| 14380 \| 20023 \| 4th class \| joey a. delen row 25 : None \| sagnay \| 19 \| 15476 \| 31314 \| 4th class \| evelyn b. fuente row 26 : None \| san fernando \| 22 \| 7176 \| 33281 \| 4th class \| eugenio "jun" ] Execute this SQL based on the above table: select mayor (2010-2013) where mayor (2010-2013) = 'ernesto a. bagasbas'	ernesto a. bagasbas
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| russia \| 3 \| 0 \| 2 \| 5 row 2 : 2 \| italy \| 1 \| 1 \| 0 \| 2 row 3 : 3 \| finland \| 0 \| 1 \| 0 \| 1 row 4 : 3 \| germany \| 0 \| 1 \| 0 \| 1 row 5 : 3 \| switzerland \| 0 \| 1 \| 0 \| 1 row 6 : 6 \| france \| 0 \| 0 \| 1 \| 1 row 7 : 6 \| georgia \| 0 \| 0 \| 1 \| 1 row 8 : None \| total \| 4 \| 4 \| 4 \| 12 ] Execute this SQL based on the above table: select max ( rank ) - min ( silver )	6.0
[ header: episode \| name \| synopsis \| sent home \| highest seller row 1 : 1 \| vegas meltdown \| nine aspiring restaurateurs arrive in las \| ammerah, kimmy \| patrick row 2 : 2 \| tantrum in temecula \| the restaurant express bus arrives in temecula, \| johnathan \| eric row 3 : 3 \| express: impossible \| the restaurant express bus arrives in los angeles \| bianca \| none row 4 : 4 \| battle by the beach \| the restaurant express bus arrives at the iconic balb \| patrick \| eric row 5 : 5 \| going, going, gone! \| the remaining four contestants are given their biggest budget \| eric \| adam row 6 : 6 \| the truck stops here! \| the three remaining chefs are each given a food \| none \| adam row 7 : 7 \| vegas or bust \| jan and seonkyoung battle to \| jan, adam \| seonkyoung ] Execute this SQL based on the above table: select count ( * ) where episode < ( select episode where name = 954 )	0

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[ header: outcome \| no. \| date \| championship \| surface \| partner \| opponents in the final \| score in the final row 1 : runner-up \| 1 \| 1968 \| hamburg, germany \| clay \| john newcombe \| tom okker marty ries \| 4-6, 4-6, 5-7 row 2 : runner-up \| 2 \| 1968 \| hobart, australia \| grass \| fred stolle \| mal anderson roger tay \| 5-7, 3-6, 6-4, 6 row 3 : winner \| 2 \| 1969 \| french open, paris \| clay \| john newcombe \| roy emerson rod laver \| 4-6, 6-1, 3-6, row 4 : winner \| 3 \| 1969 \| wimbledon, london \| grass \| john newcombe \| tom okker marty ries \| 7-5, 11-9, 6-3 row 5 : winner \| 5 \| 1970 \| louisville, u.s \| hard \| john newcombe \| roy emerson rod laver \| 8-6, 5-7, 6-4 row 6 : winner \| 6 \| 1971 \| australian open, melbourne \| grass \| john newcombe \| tom okker marty ries \| 6-2, 7-6 row 7 : winner \| 7 \| 1971 \| miami wct, u. \| hard \| john newcombe \| roy emerson rod laver \| 7-6, 7-6 row 8 : runner-up \| 4 \| 1971 \| chicago wct, u \| carpet \| john newcombe \| tom okker marty ries \| 6-7, 6-4, 6-7 row 9 : runner-up \| 5 \| 1972 \| richmond wct, u. \| carpet \| john newcombe \| tom okker marty ries \| 6-7, 6-7 row 10 : runner-up \| 6 \| 1972 \| philadelphia wct, \| carpet \| john newcombe \| arthur ashe robert l \| 3-6, 7-6, 3-6 row 11 : runner-up \| 8 \| 1972 \| las vegas wct, \| hard \| john newcombe \| roy emerson rod laver \| def row 12 : runner-up \| 9 \| 1972 \| washington wct, u. \| clay \| john newcombe \| tom okker marty ries \| 6-3, 3-6, 2-6 row 13 : winner \| 11 \| 1972 \| boston wct, u. \| hard \| john newcombe \| arthur ashe robert l \| 6-3, 1-6, 7-6 row 14 : winner \| 12 \| 1974 \| toronto wct, canada \| carpet \| raul ramirez \| tom okker marty ries \| 6-3, 2-6, 6-4 row 15 : runner-up \| 10 \| 1974 \| monte carlo wct, \| clay \| manuel orantes \| john alexander phil dent \| 6-7, 6-4, 6-7, row 16 : winner \| 13 \| 1974 \| wimbledon, london \| grass \| john newcombe \| robert lutz stan \| 8-6, 6-4, 6-4 row 17 : runner-up \| 11 \| 1974 \| sydney indoor, australia \| hard (i) \| john newcombe \| ross case geoff masters \| 4-6, 4-6 row 18 : winner \| 14 \| 1976 \| australian open, melbourne \| grass \| john newcombe \| ross case geoff masters \| 7-6, 6-4 row 19 : winner \| 15 \| 1976 \| charlotte wct, u \| carpet \| john newcombe \| vitas gerulaitis gene \| 6-3, 7-5 ] Execute this SQL based on the above table: select score in the final where surface = 'grass'	5-7, 3-6, 6-4, 6-1, 4-6, 7-5, 11-9, 6-3, 6-2, 7-6, 8-6, 6-4, 6-4, 7-6, 6-4
[ header: year \| host \| gold \| silver \| bronze row 1 : 1976 \| paraguay (asuncion) \| brazil \| paraguay \| argentina row 2 : 1981 \| peru (lima) \| brazil \| colombia \| argentina row 3 : 1986 \| colombia (cucuta) \| brazil \| colombia \| peru row 4 : 1987 \| argentina (mar del plata) \| argentina \| brazil \| chile row 5 : 1990 \| ecuador (ibarra) \| brazil \| argentina \| ecuador row 6 : 1992 \| chile (santiago) \| brazil \| argentina \| colombia row 7 : 1995 \| brazil (sao ro \| colombia \| brazil \| argentina row 8 : 1996 \| ecuador (quito) \| argentina \| brazil \| colombia row 9 : 1998 \| chile (ancud) \| brazil \| argentina \| bolivia row 10 : 2000 \| venezuela (san feli \| brazil \| argentina \| venezuela row 11 : 2002 \| chile (santiago) \| ecuador \| chile \| paraguay row 12 : 2004 \| bolivia (quillacollo) \| brazil \| argentina \| bolivia row 13 : 2005 \| paraguay (asuncion) \| argentina \| brazil \| paraguay row 14 : 2007 \| venezuela (guanare) \| venezuela \| argentina \| brazil row 15 : 2009 \| chile (santiago) \| brazil \| chile \| argentina row 16 : 2011 \| colombia (pasto) \| colombia \| argentina \| brazil row 17 : 2013 \| ecuador (portoviejo) \| brazil \| argentina \| chile ] Execute this SQL based on the above table: select ( select year where bronze = 'venezuela' ) - ( select year where bronze = 'venezuela' )	0
[ header: title \| year \| publisher \| developer \| platforms row 1 : the hobbit \| 1982 \| melbourne house \| beam software \| amstrad cpc, z row 2 : war in middle-earth \| 1988 \| melbourne house \| melbourne house \| c64, spectrum, amstrad row 3 : the lord of the rings volume 1 \| 1990 \| interplay, electronic arts \| interplay, chaos studios (amiga \| amiga, ibm pc row 4 : the lord of the rings volume 2 \| 1992 \| interplay \| interplay \| ibm pc row 5 : riders of rohan \| 1991 \| konami, mirrorsoft \| beam software, papyrus \| ibm pc row 6 : the lord of the rings volume 1 \| 1994 \| interplay \| interplay \| super nes row 7 : the lord of the rings: the fellowship \| 2002 \| vivendi universal games \| pocket studios \| game boy advance row 8 : the lord of the rings: the two \| 2002 \| electronic arts \| stormfront studios hypnos entertainment (g \| playstation 2, xbox, ninte row 9 : the lord of the rings: the return \| 2003 \| electronic arts aspyr (mac os \| electronic arts,hypnos entertainment (gcn \| ms windows, playstation 2, x row 10 : the lord of the rings: the return \| 2003 \| electronic arts \| griptonite games \| game boy advance row 11 : the hobbit \| 2003 \| sierra \| midway austin \| ms windows, playstation 2, x row 12 : the lord of the rings: the battle \| 2004 \| electronic arts \| ea los angeles \| ms windows row 13 : the lord of the rings: tactics \| 2005 \| electronic arts \| amaze \| playstation portable row 14 : the lord of the rings: the battle \| 2006 \| electronic arts \| ea los angeles \| ms windows, xbox 360 row 15 : the lord of the rings online: shadow \| 2007 \| turbine, inc., midway \| turbine, inc \| ms windows row 16 : the lord of the rings online: mine \| 2008 \| turbine, inc., midway \| turbine, inc \| ms windows row 17 : the lord of the rings online: sie \| 2009 \| turbine, inc \| turbine, inc \| ms windows row 18 : the lord of the rings: a \| 2010 \| warner bros. interactive entertainment \| headstrong games tt fusion \| wii, nintendo d row 19 : the lord of the rings: war in \| 2011 \| warner bros. interactive entertainment \| snowblind studios \| playstation 3, ms windows, x row 20 : the lord of the rings online: riders \| 2012 \| warner bros. interactive entertainment \| turbine, inc \| ms windows row 21 : lego the lord of the rings \| 2012 \| warner bros. interactive entertainment \| traveler's tales \| ms windows, wii, n row 22 : the hobbit: armies of the third \| 2013 \| None \| kabam \| browser game ] Execute this SQL based on the above table: select platforms where year = 1981 + 1	amstrad cpc, zx spectrum, commodore 64, bbc (no graphics), dragon 32, oric atmos, msx, apple ii, ibm pc
[ header: no. \| constituency \| created \| seats \| change row 1 : 1 \| carlow-kilkenny \| 1948 \| 5 \| None row 2 : 2 \| cavan-monaghan \| 1977 \| 5 \| None row 3 : 3 \| clare \| 1921 \| 4 \| None row 4 : 4 \| cork east \| 1981 \| 4 \| None row 5 : 5 \| cork north-central \| 1981 \| 4 \| -1 row 6 : 6 \| cork north-west \| 1981 \| 3 \| None row 7 : 7 \| cork south-central \| 1981 \| 5 \| None row 8 : 8 \| cork south-west \| 1961 \| 3 \| None row 9 : 9 \| donegal north-east \| 1981 \| 3 \| None row 10 : 10 \| donegal south-west \| 1981 \| 3 \| None row 11 : 11 \| dublin central \| 1981 \| 4 \| None row 12 : 12 \| dublin mid-west \| 2002 \| 4 \| -1 row 13 : 13 \| dublin north \| 1981 \| 4 \| None row 14 : 14 \| dublin north-central \| 1948 \| 3 \| 1 row 15 : 15 \| dublin north-east \| 1981 \| 3 \| None row 16 : 16 \| dublin north-west \| 1981 \| 3 \| None row 17 : 17 \| dublin south \| 1981 \| 5 \| None row 18 : 18 \| dublin south-central \| 1948 \| 5 \| None row 19 : 19 \| dublin south-east \| 1948 \| 4 \| None row 20 : 20 \| dublin south-west \| 1981 \| 4 \| None row 21 : 21 \| dublin west \| 1981 \| 3 \| None row 22 : 22 \| dun laoghaire \| 1977 \| 5 \| None row 23 : 23 \| galway east \| 1977 \| 4 \| None row 24 : 24 \| galway west \| 1937 \| 5 \| None row 25 : 25 \| kerry north \| 1969 \| 3 \| None row 26 : 26 \| kerry south \| 1937 \| 3 \| None row 27 : 27 \| kildare north \| 1997 \| 4 \| 1 row 28 : 28 \| kildare south \| 1997 \| 3 \| None row 29 : 29 \| laois-offaly \| 2007 \| 5 \| 5 row 30 : 30 \| limerick east \| 1948 \| 5 \| None row 31 : 31 \| limerick west \| 1948 \| 3 \| None row 32 : 32 \| longford-westmeath \| 2007 \| 4 \| 4 row 33 : 33 \| louth \| 1923 \| 4 \| None row 34 : 34 \| mayo \| 1997 \| 5 \| None row 35 : 35 \| meath east \| 2007 \| 3 \| 3 row 36 : 36 \| meath west \| 2007 \| 3 \| 3 row 37 : 37 \| roscommon-south leit \| 2007 \| 3 \| 3 row 38 : 38 \| sligo-north leit \| 2007 \| 3 \| 3 row 39 : 39 \| tipperary north \| 1948 \| 3 \| None row 40 : 40 \| tipperary south \| 1948 \| 3 \| None row 41 : 41 \| waterford \| 1923 \| 4 \| None row 42 : 42 \| wexford \| 1921 \| 5 \| None row 43 : 43 \| wicklow \| 1923 \| 5 \| None ] Execute this SQL based on the above table: select count ( * ) where seats < ( select seats where constituency = 'meath west' )	0
[ header: position \| player \| free agency tag \| date signed \| 2013 team row 1 : qb \| josh mccown \| ufa \| march 29 \| chicago bears row 2 : rb \| kahlil bell \| ufa \| august 11 \| new york jets row 3 : og \| lance louis \| ufa \| march 27 \| miami dolphins row 4 : og \| chris spencer \| ufa \| april 1 \| tennessee titans row 5 : og \| chilo rachal \| ufa \| april 10 \| arizona cardinals row 6 : ot \| jonathan scott \| ufa \| march 25 \| chicago bears row 7 : de \| israel idonije \| ufa \| june 25 \| detroit lions row 8 : dt \| amobi okoye \| ufa \| None \| None row 9 : lb \| geno hayes \| ufa \| march 13 \| jacksonville jaguars row 10 : lb \| nick roach \| ufa \| march 15 \| oakland raiders row 11 : cb \| zack bowman \| ufa \| march 15 \| chicago bears row 12 : cb \| d. j. moore \| ufa \| march 19 \| carolina panthers row 13 : s \| troy nolan \| ufa \| july 29 \| tampa bay buccaneers row 14 : k \| olindo mare \| ufa \| None \| None ] Execute this SQL based on the above table: select count ( position ) where position = 'ot'	1
[ header: episode \| original broadcast date \| average \| rank \| remarks row 1 : 1 \| 8 april 2012 \| 1 \| 5 \| this includes bloopers row 2 : 2 \| 15 april 2012 \| 0.91 \| 5 \| None row 3 : 3 \| 22 april 2012 \| 0.92 \| 5 \| None row 4 : 4 \| 29 april 2012 \| 0.76 \| 3 \| None row 5 : 5 \| 6 may 2012 \| 0.67 \| 3 \| None row 6 : 6 \| 13 may 2012 \| 0.67 \| 3 \| None row 7 : 7 \| 20 may 2012 \| 0.64 \| 3 \| None row 8 : 8 \| 27 may 2012 \| 0.7 \| 2 \| None row 9 : 9 \| 3 june 2012 \| 0.58 \| 4 \| None row 10 : 10 \| 10 june 2012 \| 0.6 \| 3 \| None row 11 : 11 \| 17 june 2012 \| 0.81 \| 2 \| None row 12 : 12 \| 24 june 2012 \| 0.66 \| 3 \| None row 13 : 13 \| 1 july 2012 \| 0.86 \| 3 \| None row 14 : average \| average \| 0.75 \| None \| None ] Execute this SQL based on the above table: select original broadcast date where original broadcast date in ( '8 april 2012' , '3 june 2012' ) order by rank desc limit 1	8 april 2012
[ header: religious group \| population % \| growth (1991-2001) \| sex ratio (total) \| literacy (%) \| work participation (%) \| sex ratio (rural) \| sex ratio (urban) \| sex ratio (child) row 1 : hindu \| 80.46% \| 20.3% \| 931 \| 65.1% \| 40.4% \| 944 \| 894 \| 925 row 2 : muslim \| 13.43% \| 29.3% \| 936 \| 59.1% \| 31.3% \| 953 \| 907 \| 950 row 3 : christian \| 2.34% \| 22.6% \| 1009 \| 80.3% \| 39.7% \| 1001 \| 1026 \| 964 row 4 : sikh \| 1.87% \| 18.2% \| 893 \| 69.4% \| 37.7% \| 895 \| 886 \| 786 row 5 : buddhist \| 0.77% \| 18.2% \| 953 \| 72.7% \| 40.6% \| 958 \| 944 \| 942 row 6 : animist, others \| 0.72% \| 103.1% \| 992 \| 47.0% \| 48.4% \| 995 \| 966 \| 976 row 7 : jain \| 0.41% \| 26.0% \| 940 \| 94.1% \| 32.9% \| 937 \| 941 \| 870 ] Execute this SQL based on the above table: select ( select sex ratio (urban) where sex ratio (rural) = 953 ) - ( select sex ratio (urban) where sex ratio (rural) = 958 )	-37.0
[ header: rank \| city \| population (2011) \| population (2001) \| state/territory row 1 : 8 \| surat \| 4462002 \| 2433835 \| gujarat row 2 : 9 \| pune \| 3115431 \| 2538473 \| maharashtra row 3 : 14 \| indore \| 1960631 \| 1474968 \| madhya pradesh row 4 : 21 \| ghaziabad \| 1636068 \| 968256 \| uttar pradesh row 5 : 25 \| faridabad \| 1404653 \| 1055938 \| haryana row 6 : 26 \| meerut \| 1309023 \| 1068772 \| uttar pradesh row 7 : 29 \| vasai-virar \| 1221233 \| None \| maharashtra row 8 : 42 \| vijayawada \| 1048240 \| 851282 \| andhra pradesh row 9 : 44 \| madurai \| 1016885 \| 928869 \| tamil nadu row 10 : 51 \| bareilly \| 898167 \| 718395 \| uttar pradesh row 11 : 53 \| mysore \| 887446 \| 755379 \| karnataka row 12 : 73 \| cuttack \| 606007 \| 534654 \| orissa row 13 : 78 \| durgapur \| 566937 \| 493405 \| west bengal row 14 : 101 \| tirupur \| 444543 \| 344543 \| tamil nadu row 15 : 114 \| muzaffarnagar \| 392451 \| 316729 \| uttar pradesh row 16 : 117 \| latur \| 382754 \| 299985 \| maharashtra row 17 : 123 \| muzaffarpur \| 351838 \| 305525 \| bihar row 18 : 132 \| shahjahanpur \| 327975 \| 296662 \| uttar pradesh row 19 : 135 \| shivamogga (shimoga \| 322428 \| 274352 \| karnataka row 20 : 137 \| junagadh \| 320250 \| 168686 \| gujarat row 21 : 138 \| thrissur \| 315596 \| 317526 \| kerala row 22 : 148 \| bihar sharif \| 296889 \| 232071 \| bihar row 23 : 150 \| darbhanga \| 294116 \| 267348 \| bihar row 24 : 154 \| ichalkaranji \| 287570 \| 257610 \| maharashtra row 25 : 157 \| bathinda \| 285813 \| 217256 \| punjab row 26 : 164 \| sonipat \| 277053 \| 214974 \| haryana row 27 : 165 \| farrukhabad \| 275750 \| 228333 \| uttar pradesh row 28 : 170 \| ratlam \| 264810 \| 222202 \| madhya pradesh row 29 : 189 \| raichur \| 232456 \| 207421 \| karnataka row 30 : 193 \| katihar \| 225982 \| 175169 \| bihar ] Execute this SQL based on the above table: select city where id = ( select id where city = 'thrissur' ) - 1	junagadh
[ header: year \| round \| position \| matches \| wins \| draws \| losses \| gf \| ga row 1 : 1930 to 1990 \| competed as part of yugoslav \| None \| None \| None \| None \| None \| None \| None row 2 : 1994 \| could not enter \| None \| None \| None \| None \| None \| None \| None row 3 : 1998 \| third place \| 3 \| 7 \| 5 \| 0 \| 2 \| 11 \| 5 row 4 : / 2002 \| group stage \| 23 \| 3 \| 1 \| 0 \| 2 \| 2 \| 3 row 5 : 2006 \| group stage \| 22 \| 3 \| 0 \| 2 \| 1 \| 2 \| 3 row 6 : 2010 \| did not qualify \| None \| None \| None \| None \| None \| None \| None row 7 : 2014 \| qualified \| None \| None \| None \| None \| None \| None \| None row 8 : total \| 4/5 \| None \| 13 \| 6 \| 2 \| 5 \| 15 \| 11 ] Execute this SQL based on the above table: select ( select count ( round ) ) > 1696	0
[ header: rd. \| grand prix \| date \| location \| pole position \| fastest lap \| winning driver \| constructor \| report row 1 : 1 \| brazilian grand prix \| 26 march \| jacarepagua \| ayrton senna \| riccardo patrese \| nigel mansell \| ferrari \| report row 2 : 2 \| san marino grand prix \| 23 april \| imola \| ayrton senna \| alain prost \| ayrton senna \| mclaren-honda \| report row 3 : 3 \| monaco grand prix \| 7 may \| monaco \| ayrton senna \| alain prost \| ayrton senna \| mclaren-honda \| report row 4 : 4 \| mexican grand prix \| 28 may \| hermanos rodriguez \| ayrton senna \| nigel mansell \| ayrton senna \| mclaren-honda \| report row 5 : 5 \| united states grand prix \| 4 june \| phoenix \| ayrton senna \| ayrton senna \| alain prost \| mclaren-honda \| report row 6 : 6 \| canadian grand prix \| 18 june \| circuit gilles villeneuve \| alain prost \| jonathan palmer \| thierry boutsen \| williams-renault \| report row 7 : 7 \| french grand prix \| 9 july \| paul ricard \| alain prost \| mauricio gugelmin \| alain prost \| mclaren-honda \| report row 8 : 8 \| british grand prix \| 16 july \| silverstone \| ayrton senna \| nigel mansell \| alain prost \| mclaren-honda \| report row 9 : 9 \| german grand prix \| 30 july \| hockenheimring \| ayrton senna \| ayrton senna \| ayrton senna \| mclaren-honda \| report row 10 : 10 \| hungarian grand prix \| 13 august \| hungaroring \| riccardo patrese \| nigel mansell \| nigel mansell \| ferrari \| report row 11 : 11 \| belgian grand prix \| 27 august \| spa-francorchamps \| ayrton senna \| alain prost \| ayrton senna \| mclaren-honda \| report row 12 : 12 \| italian grand prix \| 10 september \| monza \| ayrton senna \| alain prost \| alain prost \| mclaren-honda \| report row 13 : 13 \| portuguese grand prix \| 24 september \| estoril \| ayrton senna \| gerhard berger \| gerhard berger \| ferrari \| report row 14 : 14 \| spanish grand prix \| 1 october \| jerez \| ayrton senna \| ayrton senna \| ayrton senna \| mclaren-honda \| report row 15 : 15 \| japanese grand prix \| 22 october \| suzuka \| ayrton senna \| alain prost \| alessandro nannini \| benetton-ford \| report row 16 : 16 \| australian grand prix \| 5 november \| adelaide \| ayrton senna \| satoru nakajima \| thierry boutsen \| williams-renault \| report ] Execute this SQL based on the above table: select count ( grand prix ) where date = 'monza'	0
[ header: species \| country of origin \| total released \| first release \| last release \| areas of release \| areas established \| pasture type row 1 : bubas bison \| france, spain \| 1613 \| april 1983 \| 1996 (not by csiro \| wa \| nsw, sa, wa \| winter rainfall row 2 : copris elphenor k \| south africa \| 2287 \| january 1977 \| may 1983 \| qld \| qld \| summer rainfall row 3 : copris hispanus linn \| spain \| 294 \| october 1983 \| june 1994 \| wa \| wa \| winter rainfall row 4 : euoniticellus ful \| france, turkey \| 76944 \| march 1978 \| february 1983 \| nsw, sa, \| nsw, sa, \| winter rainfall row 5 : euoniticellus intermedius \| south africa \| 248637 \| november 1971 \| february 1984 \| act, nsw, nt \| nsw, nt, \| summer rainfall row 6 : onitis aygalus fabrici \| south africa \| 18682 \| january 1977 \| january 1982 \| nsw, sa, wa \| nsw, sa, \| winter rainfall row 7 : onitis caffer boheman \| south africa \| 8738 \| october 1979 \| april 1984 \| wa \| qld, nsw, \| summer rainfall, winter rainfall row 8 : onitis vanderkelleni lans \| kenya, rwanda \| 10852 \| october 1974 \| february 1982 \| nsw, qld \| qld \| summer rainfall row 9 : onthophagus gazella fabricius \| south africa \| 420415 \| february 1968 \| february 1984 \| act, nsw, nt \| act, nsw, nt \| summer rainfall row 10 : onthophagus nigiventri \| east africa \| 29960 \| may 1975 \| march 1983 \| nsw \| nsw \| summer rainfall row 11 : onthophagus obliquus \| nigeria, senegal, \| 9300 \| january 1976 \| november 1977 \| qld, nt \| qld \| summer rainfall row 12 : onthophagus sagittarius \| sri lanka (via \| 9075 \| january 1968 \| march 1977 \| nsw, nt, \| nsw, nt \| summer rainfall row 13 : onthophagus taurus schre \| spain, greece, ita \| 164499 \| february 1975 \| january 1984 \| nsw, sa, \| nsw, sa, \| winter rainfall row 14 : sisyphus spinipes \| south africa \| 36125 \| march 1972 \| december 1978 \| nsw, nt, \| nsw, qld \| summer rainfall ] Execute this SQL based on the above table: select total released where pasture type = 'summer rainfall'	2287, 248637, 10852, 420415, 29960, 9300, 9075, 36125
[ header: tie no \| home team \| score \| away team row 1 : 50 \| sjomarkens if (d \| 1-4 \| bk slatta damm ( row 2 : 53 \| falkopings fk (d4) \| 2-0 \| ganghesters sk (d row 3 : 56 \| lindas bk (d4) \| 1-3 \| hultsfreds f row 4 : 58 \| bredaryds ik ( \| 3-0 \| ulricehamns ifk ( row 5 : 59 \| hovslatts ik \| 0-9 \| tidaholms g row 6 : 60 \| torpa ais (d4) \| 0-2 \| bk zeros (d3) row 7 : 61 \| fiskeby if (wc) \| 2-1 (gg) \| vasterviks ff (d4) row 8 : 62 \| gnosjo if (d4) \| 1-3 \| skovde aik (d row 9 : 63 \| savsjo ff ( \| 5-3 \| skillingaryds is (d4) row 10 : 65 \| lsw if (d4) \| 2-1 \| husqvarna ff (d row 11 : 67 \| rorviks if (d4) \| 0-2 \| lunds bk (d2) row 12 : 69 \| if eksjo (d4) \| 1-4 \| kalmar ff (d2) row 13 : 71 \| bankeryds sk (d4) \| 4-1 \| hjulsbro ik ( row 14 : 73 \| gullspangs if ( \| 0-7 \| rynninge ik (d3) row 15 : 74 \| skara fc (d4) \| 0-4 \| karlslunds if ( row 16 : 75 \| bratens ik (d4) \| 0-4 \| vivalla-lundby if row 17 : 76 \| finnerodja if(d4) \| 3-1 \| ifk mariestad (d4) row 18 : 77 \| skollersta if (d4) \| 1-3 \| hemgardarnas bk (d row 19 : 78 \| simonstorps if (d4) \| 0-5 \| nykopings bis (d2) row 20 : 82 \| harad if (d4) \| 2-3 (gg) \| ifk vasteras (d2) row 21 : 83 \| kolsva if (d4) \| 0-3 \| karlstad bk (d row 22 : 85 \| ransta ik (d4) \| 1-3 \| ifk hallsberg (d4) row 23 : 86 \| skyllbergs ik (wc \| 0-4 \| ifk kristinehamn ( row 24 : 87 \| filipstads ff (d \| 3-1 \| kungsors sk ( row 25 : 89 \| bk hird (d4) \| 0-5 \| hargs bk (d2) row 26 : 91 \| frovi ik (wc) \| 1-9 \| skiljebo sk (d row 27 : 95 \| new mill ff (wc) \| 4-2 \| vartans sk (d3) ] Execute this SQL based on the above table: select tie no where away team = 'ifk vasteras (d2)'	82.0
[ header: defendant \| arrested \| charge \| result \| sentence row 1 : john calvin bartlett \| december 11, 1955 \| infamous crimes against nature \| pleaded guilty \| six years of probation row 2 : charles brokaw \| october 31, 1955 \| lewd conduct with a minor \| pleaded guilty \| six months in prison plus probation row 3 : vernon cassel \| october 31, 1955 \| infamous crimes against nature \| pleaded guilty \| ten years in prison row 4 : ralph cooper \| october 31, 1955 \| lewd conduct with a minor \| pleaded guilty \| life imprisonment. served nine years row 5 : melvin dir \| january 7, 1956 \| lewd conduct with a minor \| pleaded guilty \| five years in prison, suspended. later violates row 6 : charles herbert gordon \| december 11, 1955 \| lewd and lascivious conduct \| pleaded guilty \| 15 years in prison row 7 : gordon larsen \| december 11, 1955 \| infamous crimes against nature \| tried, found guilty \| five years in prison row 8 : paris martin \| december 11, 1955 \| infamous crimes against nature \| tried, found not guilty \| none row 9 : joe moore \| november 14, 1955 \| infamous crimes against nature \| pleaded guilty \| seven years in prison. loses appeal to the row 10 : charles pruett \| december 11, 1955 \| infamous crimes against nature \| pleaded guilty \| five years in prison row 11 : reginald shaffer \| december 11, 1955 \| infamous crimes against nature \| pleaded guilty \| 15 years in prison row 12 : willard wilson \| december 11, 1955 \| infamous crimes against nature \| pleaded guilty \| five years in prison. loses appeal to the ] Execute this SQL based on the above table: select count ( distinct defendant ) where arrested = 999	0
[ header: battle, siege, or offensive \| conflict \| dates \| estimated number of americans killed row 1 : meuse-argonne offensive \| world war i \| september 26 to november 11, 1918 \| 26,277 killed row 2 : battle of the bulge \| world war ii \| december 16, 1944 to january \| 19,276 killed row 3 : battle of okinawa \| world war ii \| april 1 to june 21, \| 12,513 killed row 4 : battle of hurtgen forest \| world war ii \| september 19, 1944 to february 10, 1945 \| over 12,000 killed row 5 : battle of gettysburg \| american civil war \| july 1 to july 3, 18 \| 7,863 killed (3,155 union and 4, row 6 : battle of iwo jima \| world war ii \| february 16 to march 26, 1945 \| 7,000 killed row 7 : battle of anzio \| world war ii \| january 22 to june 5, \| 5,538 killed row 8 : battle of pusan perimeter \| korean war \| august to september, 1950 \| 4,599 killed row 9 : battle of spotsylvania \| american civil war \| may 8 to may 21, 1864 \| 4,192 killed (2,725 union and 1, row 10 : battle of chickamauga \| american civil war \| september 19 to september 20, 1863 \| 3,969 killed (1,657 union and row 11 : battle of the wilderness \| american civil war \| may 5 to may 7, 1864 \| 3,741 killed (2,246 union and row 12 : battle of antietam \| american civil war \| september 17, 1862 \| 3,654 killed (2,108 union and 1,5 row 13 : battle of shiloh \| american civil war \| april 6 to april \| 3,482 killed (1,754 union and row 14 : battle of chancellorsville \| american civil war \| april 30 to may 6, 1863 \| 3,271 killed (1,606 union and row 15 : battle of sicily \| world war ii \| july 9 to august 17, 1943 \| 2,572 killed row 16 : pearl harbor attack \| world war ii \| december 7, 1941 \| 2,500 killed row 17 : battle of salerno \| world war ii \| september 3 - september 16, 1943 \| 2,000 killed row 18 : battle of belleau wood \| world war i \| june 1 to june 26, 1918 \| 1,811 killed row 19 : battle of peleliu \| world war ii \| september 15 to november 27, 1944 \| 1,794 killed row 20 : second battle of guam \| world war ii \| july 21 to august 8, 1944 \| 1,747 killed row 21 : battle of tarawa \| world war ii \| november 20 to november 23, 1943 \| 1,677 killed row 22 : d-day (first day of operation over \| world war ii \| june 6, 1944 \| 1,465 killed row 23 : battle of chosin reservoir \| korean war \| november 27 to december 13, 1950 \| 1,029 killed row 24 : battle for manila \| world war ii \| february 3 to march 3, 1945 \| 1,010 killed row 25 : battle of the kasserine pass \| world war ii \| february 19 to february 25, 1943 \| over 1,000 killed row 26 : battle of taejon \| korean war \| july 14 to july 21, 1950 \| 922 killed row 27 : battle of khe sanh \| vietnam war \| 21 january to 8 apri \| 737 killed ] Execute this SQL based on the above table: select count ( conflict ) where conflict = 'world war ii'	14
[ header: class \| type \| ships \| displacement \| note row 1 : rari class \| tug supply vessel \| a635 revi \| 1,450 tonnes \| None row 2 : malabar class \| ocean going tug \| a664 malabar a6 \| 1,440 tonnes \| ice-breaking capabilities to 2 meters level row 3 : ut507 class \| salvage tug \| abeille flandre abeille languedoc \| 1,500 tonnes \| chartered row 4 : ut515 class \| salvage tug \| abeille bourbon abeille libert \| 4,000 tonnes \| chartered row 5 : ut710 class \| support, assistance, pollution control vessel \| argonaute jason \| 2,100 tonnes \| chartered, configured to accommodate nato row 6 : ut711 class \| support, assistance, pollution control vessel \| alcyon ailette \| 2,000 tonnes \| chartered row 7 : None \| training ships \| vn partisan \| 2,250 tonnes \| chartered row 8 : None \| training ships \| vn rebel \| None \| chartered ] Execute this SQL based on the above table: select type order by displacement desc limit 1	salvage tug
[ header: year \| round \| position \| matches \| wins \| draws \| losses \| gf \| ga row 1 : 1930 to 1990 \| competed as part of yugoslav \| None \| None \| None \| None \| None \| None \| None row 2 : 1994 \| could not enter \| None \| None \| None \| None \| None \| None \| None row 3 : 1998 \| third place \| 3 \| 7 \| 5 \| 0 \| 2 \| 11 \| 5 row 4 : / 2002 \| group stage \| 23 \| 3 \| 1 \| 0 \| 2 \| 2 \| 3 row 5 : 2006 \| group stage \| 22 \| 3 \| 0 \| 2 \| 1 \| 2 \| 3 row 6 : 2010 \| did not qualify \| None \| None \| None \| None \| None \| None \| None row 7 : 2014 \| qualified \| None \| None \| None \| None \| None \| None \| None row 8 : total \| 4/5 \| None \| 13 \| 6 \| 2 \| 5 \| 15 \| 11 ] Execute this SQL based on the above table: select count ( * ) where round = 'None'	0
[ header: party \| diet representation representatives \| diet representation councillors \| party leader(s) \| comments row 1 : your party (yp) minna no \| 18 \| 18 \| yoshimi watana \| conservative liberalism, neoliberalism row 2 : japanese communist party (j \| 8 \| 11 \| kazuo shii reps \| the japanese communist party is row 3 : people's life party (plp) \| 7 \| 2 \| ichiro ozawa reps \| life party was founded by ichiro row 4 : social democratic party (sdp) s \| 2 \| 3 \| mizuho fukushima co \| sdp is a social democratic party row 5 : green wind midori no kaze みとりの風 \| 2 \| 0 \| kuniko tanioka co \| a house of councillors parliamentary group row 6 : new party daichi - true democrat \| 1 \| 0 \| muneo suzuki \| founded in december 2011 by new party da row 7 : new renaissance party (n \| 0 \| 1 \| yoichi masuzo \| conservatism, neoliberalism row 8 : okinawa socialist masses party (os \| 0 \| 1 \| keiko itokazu coun \| social democracy, okinawa regionalism ] Execute this SQL based on the above table: select min ( diet representation councillors ) - 11 where diet representation councillors > 11	7.0
[ header: pos \| team \| total \| high \| low \| average \| change row 1 : 1 \| honda motor \| 13178 \| 3305 \| 402 \| 879 \| -11.9% row 2 : 2 \| sc tottori \| 12281 \| 2124 \| 401 \| 819 \| None row 3 : 3 \| ntt west kumamoto \| 10394 \| 1378 \| 324 \| 693 \| None row 4 : 4 \| ehime fc \| 9896 \| 1250 \| 348 \| 660 \| None row 5 : 5 \| tochigi sc \| 9723 \| 1141 \| 285 \| 648 \| -38.2% row 6 : 6 \| otsuka pharmaceuticals \| 8975 \| 2391 \| 284 \| 598 \| +18.4% row 7 : 7 \| ykk fc \| 8093 \| 2477 \| 198 \| 540 \| None row 8 : 8 \| sony sendai \| 7817 \| 886 \| 342 \| 521 \| -52.3% row 9 : 9 \| yokogawa fc \| 7334 \| 1198 \| 240 \| 489 \| -30.4% row 10 : 10 \| alo's hokuriku \| 6380 \| 1801 \| 180 \| 425 \| -12.1% row 11 : 11 \| jatco fc \| 6329 \| 1075 \| 167 \| 422 \| -36.7% row 12 : 12 \| sagawa express \| 5365 \| 1054 \| 48 \| 358 \| None row 13 : 13 \| denso sc \| 5344 \| 831 \| 119 \| 356 \| -17.7% row 14 : 14 \| kyoken kyoto \| 5262 \| 468 \| 203 \| 351 \| -9.0% row 15 : 15 \| shizuoka sangyo university \| 4013 \| 803 \| 101 \| 268 \| -48.8% row 16 : 16 \| kokushikan university \| 3298 \| 414 \| 54 \| 220 \| -28.3% row 17 : None \| league total \| 123682 \| 3305 \| 48 \| 515 \| -42.8% ] Execute this SQL based on the above table: select low where change = '-42.8%'	48
[ header: administrative area \| area km2 \| area sq mi \| population \| administrative centre row 1 : saint helena \| 122 \| 47 \| 5809 \| jamestown row 2 : ascension island \| 91 \| 35 \| 1532 \| georgetown row 3 : tristan da cunha \| 184 \| 71 \| 388 \| edinburgh of the seven seas row 4 : tristan da cunha \| 98 \| 38 \| 382 \| edinburgh of the seven seas row 5 : inaccessible island \| 14 \| 5 \| 0 \| denstone hut row 6 : nightingale island \| 3.2 \| 1 \| 0 \| west landing row 7 : gough island \| 68 \| 26 \| 6 \| transvaal bay row 8 : total \| 397 \| 153 \| 7729 \| jamestown ] Execute this SQL based on the above table: select area sq mi where area sq mi != 1 and population = ( select population where area sq mi = 1 )	5
[ header: team \| wins \| losses \| win % \| gb row 1 : detroit tigers \| 104 \| 58 \| .642 \| 0 row 2 : toronto blue jays \| 89 \| 73 \| .549 \| 15.0 row 3 : new york yankees \| 87 \| 75 \| .537 \| 17.0 row 4 : boston red sox \| 86 \| 76 \| .531 \| 18.0 row 5 : baltimore orioles \| 85 \| 77 \| .525 \| 19.0 row 6 : cleveland indians \| 75 \| 87 \| .463 \| 29.0 row 7 : milwaukee brewers \| 67 \| 94 \| .416 \| 36.5 ] Execute this SQL based on the above table: select count ( win % ) where win % < '.531'	3
[ header: year \| song \| chart positions us country \| chart positions can country \| album row 1 : 1968 \| "god help you woman" \| 32 \| 24 \| singles only row 2 : 1969 \| "please take me back" \| 40 \| None \| singles only row 3 : 1969 \| "i'm not through loving you" \| 52 \| None \| singles only row 4 : 1969 \| "molly" \| 53 \| None \| singles only row 5 : 1973 \| "i see his love all over you" \| 67 \| None \| singles only row 6 : 1974 \| "fool passin' through" \| 68 \| None \| singles only row 7 : 1974 \| "forgettin' 'bout \| 51 \| None \| singles only row 8 : 1975 \| "one, two, three (never \| 88 \| None \| singles only row 9 : 1975 \| "woman, woman" \| 43 \| 46 \| singles only row 10 : 1976 \| "she's free but she's \| 66 \| None \| singles only row 11 : 1977 \| "chasin' my tail" \| 88 \| None \| singles only row 12 : 1977 \| "don't let my love stand in your \| 86 \| None \| singles only row 13 : 1983 \| "when you're not a lady" \| 16 \| None \| the man in the mirror row 14 : 1983 \| "you got me running" \| 28 \| None \| the man in the mirror row 15 : 1983 \| "the man in the mirror" \| 17 \| None \| the man in the mirror row 16 : 1984 \| "if i could only dance with you" \| 10 \| 10 \| the man in the mirror row 17 : 1984 \| "you're gettin' to me \| 1 \| 3 \| the man in the mirror row 18 : 1984 \| "let me down easy" \| 16 \| 33 \| the man in the mirror row 19 : 1985 \| "i'll be your fool tonight" \| 54 \| None \| past the point of no return row 20 : 1985 \| "in another minute" \| 27 \| None \| past the point of no return row 21 : 1986 \| "if i don't love you" \| 53 \| None \| past the point of no return row 22 : 1986 \| "the lights of albuquerque" \| 40 \| None \| everybody knows i'm yours ] Execute this SQL based on the above table: select count ( album ) where chart positions can country >= 681	0
[ header: player \| rec. \| yards \| avg. \| td's \| long row 1 : charles frederick \| 115 \| 1385 \| 12 \| 27 \| 42 row 2 : jerel myers \| 104 \| 1183 \| 11.4 \| 21 \| 38 row 3 : anthony hines \| 58 \| 822 \| 14.2 \| 12 \| 39 row 4 : boo williams \| 45 \| 474 \| 10.5 \| 17 \| 35 row 5 : ira gooch \| 24 \| 339 \| 14.1 \| 6 \| 32 row 6 : sam simmons \| 15 \| 197 \| 13.1 \| 2 \| 30 row 7 : kevin beard \| 10 \| 87 \| 8.7 \| 0 \| 21 row 8 : dawan moss \| 7 \| 39 \| 5.6 \| 1 \| 12 row 9 : cyron brown \| 3 \| 17 \| 5.7 \| 1 \| 8 row 10 : larrell johnson \| 3 \| 14 \| 4.7 \| 0 \| 6 row 11 : jamarr wood \| 1 \| 13 \| 13 \| 0 \| 13 row 12 : cecil moore \| 2 \| 9 \| 4.5 \| 2 \| 8 row 13 : raymond philyaw \| 1 \| -6 \| -6 \| 0 \| -6 ] Execute this SQL based on the above table: select td's where player = 'dawan moss'	1.0
[ header: county \| obama% \| obama# \| mccain% \| mccain# \| total row 1 : andrew \| 38.8% \| 3345 \| 61.2% \| 5279 \| 8624 row 2 : audrain \| 41.8% \| 4434 \| 58.2% \| 6167 \| 10601 row 3 : barry \| 32.2% \| 4630 \| 67.8% \| 9758 \| 14388 row 4 : boone \| 56.1% \| 47062 \| 43.9% \| 36849 \| 83911 row 5 : buchanan \| 50.1% \| 19164 \| 49.9% \| 19110 \| 38274 row 6 : carroll \| 34.2% \| 1535 \| 65.8% \| 2955 \| 4490 row 7 : carter \| 34.8% \| 984 \| 65.2% \| 1840 \| 2824 row 8 : cedar \| 32.9% \| 2060 \| 67.1% \| 4194 \| 6254 row 9 : clay \| 49.7% \| 53761 \| 50.3% \| 54516 \| 108277 row 10 : cooper \| 37.9% \| 2996 \| 62.1% \| 4902 \| 7898 row 11 : dekalb \| 36.9% \| 1692 \| 63.1% \| 2889 \| 4581 row 12 : douglas \| 32.7% \| 2140 \| 67.3% \| 4405 \| 6545 row 13 : gentry \| 38.6% \| 1235 \| 61.4% \| 1964 \| 3199 row 14 : greene \| 42.0% \| 56181 \| 58.0% \| 77683 \| 133864 row 15 : grundy \| 34.5% \| 1580 \| 65.5% \| 3006 \| 4586 row 16 : hickory \| 43.2% \| 2171 \| 56.8% \| 2850 \| 5021 row 17 : howard \| 42.9% \| 2036 \| 57.1% \| 2708 \| 4744 row 18 : howell \| 34.3% \| 5736 \| 65.7% \| 10982 \| 16718 row 19 : jefferson \| 51.3% \| 53467 \| 48.7% \| 50804 \| 104271 row 20 : knox \| 38.5% \| 759 \| 61.5% \| 1212 \| 1971 row 21 : lewis \| 41.5% \| 1837 \| 58.5% \| 2594 \| 4431 row 22 : lincoln \| 44.2% \| 10234 \| 55.8% \| 12924 \| 23158 row 23 : livingston \| 37.9% \| 2435 \| 62.1% \| 3993 \| 6428 row 24 : madison \| 41.3% \| 2042 \| 58.7% \| 2897 \| 4939 row 25 : maries \| 35.9% \| 1599 \| 64.1% \| 2853 \| 4452 row 26 : marion \| 37.9% \| 4703 \| 62.1% \| 7705 \| 12408 row 27 : mercer \| 30.7% \| 519 \| 69.3% \| 1169 \| 1688 row 28 : miller \| 31.3% \| 3553 \| 68.7% \| 7797 \| 11350 row 29 : moniteau \| 31.8% \| 2084 \| 68.2% \| 4467 \| 6551 row 30 : montgomery \| 40.6% \| 2347 \| 59.4% \| 3428 \| 5775 row 31 : morgan \| 39.5% \| 3565 \| 60.5% \| 5451 \| 9016 row 32 : oregon \| 40.6% \| 1811 \| 59.4% \| 2652 \| 4463 row 33 : pike \| 45.0% \| 3487 \| 55.0% \| 4268 \| 7755 row 34 : polk \| 33.7% \| 4553 \| 66.3% \| 8956 \| 13509 row 35 : scotland \| 38.8% \| 793 \| 61.2% \| 1249 \| 2042 row 36 : st. clair \| 38.8% \| 1886 \| 61.2% \| 2981 \| 4867 ] Execute this SQL based on the above table: select ( select total where county = 'mercer' ) - ( select total where county = 'jefferson' )	-102583.0
[ header: year \| name of show \| episodes \| other guests \| winner(s) row 1 : 1997 \| super trio series 2: movie buff championship \| 18 \| florence kwok, jo \| charmaine sheh row 2 : 2000 \| the super trio show \| 6 \| julian cheung, calvin \| charmaine sheh, julian che row 3 : 2002 \| a trio delights \| 3 \| timmy hung, ken wong \| louis yuen row 4 : 2004 \| the super trio continues \| 7 \| michael tao, \| charmaine sheh, michael row 5 : 2007 \| foodie 2 shoes \| 19, 20 \| chin ka lok, e \| charmaine sheh, chin ka row 6 : 2008 \| super trio supreme \| 1 \| bosco wong, michael mi \| charmaine sheh, cutie mui row 7 : 2009 \| are you smarter than a 5th grade \| 05, 06 \| None \| hk$175,000 (levels 8 row 8 : 2010 \| super trio game master \| 20 \| moses chan, kenneth ma \| tie row 9 : 2011 \| all star glam exam \| 8 \| ekin cheng, eric \| charmaine sheh ] Execute this SQL based on the above table: select other guests where year > ( select year where name of show = 'the super trio show' )	timmy hung, ken wong, stephanie che, louis yuen, cutie mui, michael tao, kenix kwok, cheung tat-ming, wong ceng, nnadia chan, chin ka lok, edmond leung, vanessa yeung, bosco wong, michael miu, cutie mui, johnny tang, krystal tin, tiffany hew, cleo tay, crystal wong, moses chan, kenneth ma, raymond wong, lee heung kam, louis yuen, selena li, susan tse, lee kwok leung, edwin siu, elaine yiu, yoyo chen, charmaine li, ekin cheng, eric kot, fala chen
[ header: name \| egot completed \| emmy \| grammy \| oscar \| tony row 1 : richard rodgers \| 1962 (17 years) \| 1962 \| 1960 \| 1945 \| 1950 row 2 : helen hayes \| 1977 (45 years) \| 1953 \| 1977 \| 1932 \| 1947 row 3 : rita moreno \| 1977 (16 years) \| 1977 \| 1972 \| 1961 \| 1975 row 4 : john gielgud \| 1991 (30 years) \| 1991 \| 1979 \| 1981 \| 1961 row 5 : audrey hepburn \| 1994 (41 years) \| 1993 \| 1994 \| 1953 \| 1954 row 6 : marvin hamlisch \| 1995 (23 years) \| 1995 \| 1974 \| 1973 \| 1976 row 7 : jonathan tunick \| 1997 (20 years) \| 1982 \| 1988 \| 1977 \| 1997 row 8 : mel brooks \| 2001 (34 years) \| 1967 \| 1998 \| 1968 \| 2001 row 9 : mike nichols \| 2001 (40 years) \| 2001 \| 1961 \| 1967 \| 1964 row 10 : whoopi goldberg \| 2002 (17 years) \| 2002 \| 1985 \| 1990 \| 2002 row 11 : scott rudin \| 2012 (28 years) \| 1984 \| 2012 \| 2007 \| 1994 row 12 : robert lopez \| 2014 (10 years) \| 2008 \| 2012 \| 2014 \| 2004 ] Execute this SQL based on the above table: select name where name = 'john gielgud'	john gielgud
[ header: name \| location \| city \| listing date row 1 : branch county courthouse informational site \| 31 division street \| coldwater \| march 16, 1989 row 2 : bronson public library \| 207 matteson street \| bronson \| september 28, 2000 row 3 : chicago road informational designation \| us-12 and prairie river road (park 1.5 miles \| bronson township \| september 17, 1957 row 4 : city of coldwater informational designation \| city park at intersection of us-12 and us- \| coldwater \| april 14, 1961 row 5 : edwin r. clarke library \| 12 east chicago street, between division and \| coldwater \| march 9, 1966 row 6 : dr. hawley harve \| 66 north monroe street \| coldwater \| august 21, 1987 row 7 : east chicago street historic district \| chicago street from wright to division \| coldwater \| july 26, 1974 row 8 : first presbyterian church \| 52 marshall street, ne corner of \| coldwater \| june 15, 1979 row 9 : abram c. fisk house \| 867 east chicago street \| coldwater \| june 15, 1979 row 10 : william p. hurd house \| 601 north broadway \| union city \| july 17, 1981 row 11 : lanphere-pratt house \| 90 division street \| coldwater \| february 23, 1978 row 12 : henry a. locke house \| 140 east division street \| sherwood \| march 19, 1980 row 13 : governor cyrus gray luce home \| northeast corner of division and east washington streets \| coldwater \| august 15, 1975 row 14 : methodist episcopal church \| 126 marshall road \| coldwater \| april 17, 1997 row 15 : general john g. parkhurst house \| 55 north clay street \| coldwater \| june 15, 1979 row 16 : harriet quimby informational designation \| branch county memorial airport \| coldwater \| january 21, 1988 row 17 : quincy township public library \| 11 north main street, just north of us-12 \| quincy \| april 25, 1988 row 18 : state public school at coldwater \| 620 marshall road \| coldwater \| may 13, 1981 row 19 : tibbits opera house \| 14 south hanchett street \| coldwater \| december 11, 1970 row 20 : union city iron furnace \| m-60 near waterworks road \| union township \| february 14, 1963 row 21 : union city methodist episcopal church \| 200 ellen street \| union city \| september 19, 1991 row 22 : lucius m. wing house \| 27 south jefferson street, ne \| coldwater \| october 17, 1974 row 23 : john d. zimmerman house \| 119 east high street \| union city \| september 21, 1983 ] Execute this SQL based on the above table: select count ( distinct name )	23
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1994 \| european championships \| helsinki, finland \| 48th \| marathon \| 2:22:49 row 2 : 1995 \| world championships \| gothenburg, sweden \| 49th \| marathon \| 2:33:42 row 3 : 1996 \| summer olympics \| atlanta, georgia \| 58th \| marathon \| 2:23:14 row 4 : 1997 \| world championships \| athens, greece \| 48th \| marathon \| 2:29:10 row 5 : 1998 \| world cross country championships \| marrakech, morocco \| 85th \| long race \| None row 6 : 1998 \| world half marathon championships \| uster, switzerland \| 66th \| half marathon \| 1:05:00 row 7 : 1998 \| european championships \| budapest, hungary \| 29th \| marathon \| 2:19:38 row 8 : 1999 \| world half marathon championships \| palermo, italy \| 55th \| half marathon \| 1:05:45 row 9 : 1999 \| frankfurt marathon \| frankfurt, germany \| 1st \| marathon \| 2:12:37 row 10 : 1999 \| helsinki marathon \| helsinki, finland \| 1st \| marathon \| 2:19:18 row 11 : 2000 \| summer olympics \| sydney, australia \| 35th \| marathon \| 2:19:41 row 12 : 2001 \| frankfurt marathon \| frankfurt, germany \| 1st \| marathon \| 2:11:09 row 13 : 2002 \| paris marathon \| paris, france \| 2nd \| marathon \| 2:08:53 row 14 : 2002 \| european championships \| munich, germany \| 2nd \| marathon \| 2:13:18 row 15 : 2002 \| fukuoka marathon \| fukuoka, japan \| 4th \| marathon \| 2:10:14 row 16 : 2003 \| joongang seoul marathon \| seoul, south korea \| 1st \| marathon \| 2:09:15 row 17 : 2004 \| summer olympics \| athens, greece \| 26th \| marathon \| 2:18:09 row 18 : 2004 \| joongang seoul marathon \| seoul, south korea \| 1st \| marathon \| 2:09:34 row 19 : 2005 \| joongang seoul marathon \| seoul, south korea \| 4th \| marathon \| 2:12:12 row 20 : 2006 \| paris marathon \| paris, france \| 12th \| marathon \| 2:11:25 row 21 : 2007 \| world championships \| osaka, japan \| None \| marathon \| dnf row 22 : 2007 \| beppu-oita marathon \| beppu-oita, japan \| 8th \| marathon \| 2:14:49 row 23 : 2008 \| summer olympics \| beijing, china \| 75th \| marathon \| 2:39:01 ] Execute this SQL based on the above table: select year where competition = 'summer olympics'	1996, 2000, 2004, 2008
[ 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 ( * ) where length [km] > 387	0
[ header: year \| men's winner \| time (h:m:s) \| women's winner \| time (h:m:s) \| finishers row 1 : 1996 \| zoltan kaldy (h \| 1:04:45 \| simona staicu (hun) \| 1:11:11 \| 1768 row 2 : 1997 \| keita fujino (jp \| 1:03:14 \| sachie ozaki (jp \| 1:11:04 \| 2535 row 3 : 1998 \| seiji hamada (jp \| 1:02:44 \| kazumi kanbayashi (j \| 1:10:37 \| 2703 row 4 : 1999 \| takaki morikawa (jp \| 1:03:28 \| tomoko tamamushi (j \| 1:12:15 \| 3422 row 5 : 2000 \| piotr gladki (pol) \| 1:04:45 \| mihaela botezan (rom) \| 1:10:17 \| 4024 row 6 : 2001 \| sreten ninkovic (y \| 1:04:43 \| beata rakonczai (h \| 1:13:33 \| 3912 row 7 : 2002 \| william kipsang (ken) \| 1:02:59 \| beata rakonczai (h \| 1:13:39 \| 4403 row 8 : 2003 \| miklos zatyko ( \| 1:05:53 \| aniko kalovics (hun) \| 1:11:08 \| 4470 row 9 : 2004 \| sreten ninkovic (s \| 1:06:51 \| aniko kalovics (hun) \| 1:11:18 \| 4601 row 10 : 2005 \| andras juhasz (h \| 1:05:57 \| eszter erdelyi \| 1:16:10 \| 5466 row 11 : 2006 \| barnabas bene (hun) \| 1:06:32 \| aniko kalovics (hun) \| 1:10:46 \| 4964 row 12 : 2007 \| balazs ott (h \| 1:07:19 \| krisztina papp \| 1:12:09 \| 5020 row 13 : 2008 \| roberto pasquale ruti \| 1:07:22 \| beata rakonczai (h \| 1:14:38 \| 4930 row 14 : 2009 \| erkolo ashenafi ( \| 1:07:24 \| krisztina papp \| 1:15:27 \| 4848 row 15 : 2010 \| laszlo toth (hun \| 1:04:38 \| krisztina papp \| 1:13:13 \| 5520 row 16 : 2011 \| tamas kovacs (h \| 1:06:03 \| aniko kalovics (hun) \| 1:15:04 \| 6203 row 17 : 2012 \| gabor jozsa (hun \| 1:06:36 \| krisztina papp \| 1:15:07 \| 6751 row 18 : 2013 \| henry kemboi (ken) \| 1:05:53 \| krisztina papp \| 1:12:32 \| 7436 ] Execute this SQL based on the above table: select finishers where women's winner = 'aniko kalovics (hun)' and women's winner > 755	4470, 4601, 4964, 6203
[ header: year \| film \| role \| co-star \| director \| notes row 1 : 2004 \| bachelor \| None \| None \| mostofa sarwar farook \| special appearance row 2 : 2010 \| dubshatar \| renu \| shehzad chowdhury \| nurul alam atik \| first debut film daily star celebrating life-best actress row 3 : 2011 \| firey esho behula \| tanima \| intekhab deenar, shahid \| tanim noor \| None row 4 : 2011 \| guerrilla \| bilkis banu \| ferdous ahmed, \| nasiruddin yousuff \| national film award meril prothom al row 5 : 2012 \| chorabali \| noboni afroz \| indraneil sengupt \| redwan rony \| national film award meril prothom al row 6 : 2013 \| aborto \| charu sen \| tota roy chowdhur \| arindam sil \| first debut film in tollywood row 7 : 2013 \| purnodoirgho prem \| jara/zara \| shakib khan, arefin \| shafi uddin sha \| first film with shakib khan row 8 : 2014 \| parle theka (filming) \| None \| sushama sarkar \| maruf hasan \| None row 9 : 2014 \| zero degree (filming) \| sonia \| mahfuz ahmed, r \| animesh aich \| None ] Execute this SQL based on the above table: select year where role = 'tanima'	2011
[ header: goal \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 8 october 2010 \| ferenc puskas, bud \| san marino \| 2-0 \| 8-0 \| euro 2012 qualifying row 2 : 2 \| 8 october 2010 \| ferenc puskas, bud \| san marino \| 4-0 \| 8-0 \| euro 2012 qualifying row 3 : 3 \| 8 october 2010 \| ferenc puskas, bud \| san marino \| 5-0 \| 8-0 \| euro 2012 qualifying row 4 : 4 \| 12 october 2010 \| olympic stadium, hel \| finland \| 0-1 \| 1-2 \| euro 2012 qualifying row 5 : 5 \| 29 february 2012 \| eto park, gyor, \| bulgaria \| 1-0 \| 1-1 \| friendly row 6 : 6 \| 7 september 2012 \| estadi comunal, andorr \| andorra \| 3-0 \| 5-0 \| 2014 world cup qualification row 7 : 7 \| 16 october 2012 \| ferenc puskas, bud \| turkey \| 2-1 \| 3-1 \| 2014 world cup qualification ] Execute this SQL based on the above table: select goal where date = '16 october 2012' order by goal limit 1844	7.0
[ header: outcome \| edition \| round \| opponent team \| surface \| opponent \| score row 1 : loser \| 2010 \| world group playoffs \| slovakia \| clay (i) \| daniela hantuchova \| 6-2, 6-2 row 2 : winner \| 2010 \| world group playoffs \| slovakia \| clay (i) \| magdalena rybarikova \| 6-1, 7-6(7-4) row 3 : winner \| 2011 \| world group ii \| canada \| hard (i) \| aleksandra wozniak \| 6-4, 7-5 row 4 : winner \| 2011 \| world group ii \| canada \| hard (i) \| rebecca marino \| 7-6(7-3), 6-3 row 5 : loser \| 2011 \| world group playoffs \| slovakia \| clay (i) \| dominika cibulkova \| 6-4, 3-6, 1-6 row 6 : loser \| 2012 \| world group \| belgium \| hard (i) \| yanina wickmayer \| 4-6, 4-6 row 7 : winner \| 2012 \| world group \| belgium \| hard (i) \| kirsten flipkens \| 6-2, 6-4 ] Execute this SQL based on the above table: select round where edition = ( select edition where round = 'world group playoffs' ) + 1	world group ii, world group ii, world group playoffs
[ header: year \| place \| gold \| silver \| bronze row 1 : 1962 \| cairo \| mercedes mata (ven) \| marjorie annan (usa) \| elena shebashova (urs row 2 : 1966 \| wiesbaden \| claudia smirnova (urs \| mercedes garcia (ven) \| michele valery (fra) row 3 : 1967 \| bologna \| larisa gurvich (urs \| claudia smirnova (urs \| mirella lenzini (ita) row 4 : 1970 \| phoenix \| larissa korchinskaya (urs \| nuria ortiz (mex \| kari linden (nor) row 5 : 1971 \| bologna \| nuria ortiz (mex \| larissa korchinskaya (urs \| kari linden (nor) row 6 : 1974 \| bern \| larissa korchinskaya (urs \| saskia brixner ( \| evior melander (swe) row 7 : 1975 \| munich \| larisa gurvich (urs \| pinky le grelle (bel) \| ruth jordan (frg row 8 : 1977 \| antibes \| ruth jordan (frg \| ila hill (usa) \| bianca rosa hansberg row 9 : 1979 \| montecatini terme \| bianca rosa hansberg \| larisa gurvich (urs \| svetlana yakimova row 10 : 1981 \| tucuman \| lanying wu (chn) \| ila hill (usa) \| bianca rosa hansberg row 11 : 1982 \| caracas \| svetlana yakimova \| meimei feng (chn) \| weiping shao (chn) row 12 : 1986 \| suhl \| svetlana demina ( \| michaela rink (frg \| connie schiller (usa) row 13 : 1987 \| valencia \| meimei feng (chn) \| bonnie mc laurin (us \| nuria ortiz (mex row 14 : 1989 \| montecatini terme \| shan zhang (chn) \| antonella parrini (it \| erzsebet vasvari row 15 : 1991 \| perth \| jong ran pak (prk \| svetlana demina ( \| erzsebet vasvari row 16 : 1994 \| fagnano \| erdzhanik avetisyan \| diana igaly (hun) \| daniela bolis (ita row 17 : 1999 \| tampere \| erdzhanik avetisyan \| cristina vitali (ita) \| svetlana demina ( row 18 : 2001 \| cairo \| zemfira meftakhe \| olga panarina ( \| cristina vitali (ita) row 19 : 2002 \| lahti \| diana igaly (hun) \| andrea stranovska (svk \| elena little (gbr) row 20 : 2003 \| nicosia \| ning wei (chn) \| katiuscia spada (it \| diana igaly (hun) ] Execute this SQL based on the above table: select silver order by year desc limit 1	katiuscia spada (ita)
[ header: \| name \| took office \| left office \| party row 1 : 1 \| vasso papandreou \| 21 february 1996 \| 19 february 1999 \| panhellenic socialist movement row 2 : 2 \| evangelos venizelos \| 19 february 1999 \| 13 april 2000 \| panhellenic socialist movement row 3 : 3 \| nikos christodoulaki \| 13 april 2000 \| 24 october 2001 \| panhellenic socialist movement row 4 : 4 \| akis tsochatzo \| 24 october 2001 \| 10 march 2004 \| panhellenic socialist movement row 5 : 5 \| dimitris sioufas \| 10 march 2004 \| 19 september 2007 \| new democracy row 6 : 6 \| christos folias \| 19 september 2007 \| 8 january 2009 \| new democracy row 7 : 7 \| kostis hatzidakis \| 8 january 2009 \| 7 october 2009 \| new democracy ] Execute this SQL based on the above table: select where party = 'new democracy'	5, 6, 7
[ header: name of place \| counties \| principal county \| lower zip code row 1 : campbell hall \| 1 \| orange county \| 10916 row 2 : canaan \| 1 \| columbia county \| 12029 row 3 : canajoharie \| 1 \| montgomery county \| None row 4 : canoe place \| 1 \| suffolk county \| 11946 row 5 : careys corners \| 1 \| oneida county \| None row 6 : carman \| 1 \| schenectady county \| 12303 row 7 : carpenters corners \| 1 \| fulton county \| None row 8 : cass \| 1 \| erie county \| 14206 row 9 : castle point \| 1 \| dutchess county \| 12511 row 10 : catfish corners \| 1 \| oswego county \| None row 11 : catskill (town) \| 1 \| greene county \| 12414 row 12 : cayuta \| 1 \| schuyler county \| 14824 row 13 : cedar hill \| 1 \| albany county \| 12158 row 14 : cedarville station \| 1 \| herkimer county \| None row 15 : central nyack \| 1 \| rockland county \| 10960 row 16 : chase lake \| 1 \| lewis county \| 13343 row 17 : chelsea \| 1 \| dutchess county \| 12512 row 18 : chemung \| 1 \| chemung county \| None row 19 : chili junction \| 1 \| monroe county \| None row 20 : chittenango springs \| 1 \| madison county \| None row 21 : churchville \| 1 \| monroe county \| 14428 row 22 : clarkson \| 1 \| monroe county \| 14430 row 23 : claverack \| 1 \| columbia county \| None row 24 : clifton heights \| 1 \| erie county \| 14085 row 25 : clinton county airport \| 1 \| clinton county \| None row 26 : coldbrook \| 1 \| erie county \| 14072 row 27 : colemans mills \| 1 \| oneida county \| 13492 row 28 : coleman station \| 1 \| dutchess county \| None row 29 : colonial acres \| 1 \| albany county \| 12077 row 30 : colonial acres \| 1 \| westchester county \| 10583 row 31 : columbus quarter \| 1 \| chenango county \| None row 32 : como \| 1 \| cayuga county \| None row 33 : congers \| 1 \| rockland county \| 10920 row 34 : connelly park \| 1 \| chautauqua county \| 14710 row 35 : conquest \| 1 \| cayuga county \| None row 36 : cooperstown junction \| 1 \| otsego county \| 12116 row 37 : craterclub \| 1 \| essex county \| 12936 row 38 : crescent beach \| 1 \| monroe county \| 14612 row 39 : crestwood \| 1 \| westchester county \| 10707 row 40 : crestwood \| 1 \| westchester county \| None row 41 : crittenden \| 1 \| erie county \| 14038 row 42 : croghan \| 1 \| lewis county \| 13327 row 43 : croghan \| 1 \| lewis county \| None ] Execute this SQL based on the above table: select count ( principal county ) where principal county = 'erie county'	4
[ header: year \| track \| number \| team \| car \| round result row 1 : 1996 \| pukekohe park raceway \| 1 \| holden racing team \| holden vr commodore \| 1st row 2 : 2001 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vx commodore \| 1st row 3 : 2002 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vx commodore \| 1st row 4 : 2003 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vy commodore \| 1st row 5 : 2004 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vy commodore \| 3rd row 6 : 2005 \| pukekohe park raceway \| 51 \| paul weel racing \| holden vz commodore \| 1st row 7 : 2006 \| pukekohe park raceway \| 51 \| paul weel racing \| holden vz commodore \| 15th row 8 : 2007 \| pukekohe park raceway \| 51 \| tasman motorsport \| holden ve commodore \| 11th row 9 : 2008 \| hamilton street circuit \| 51 \| tasman motorsport \| holden ve commodore \| 25th row 10 : 2009 \| hamilton street circuit \| 51 \| tasman motorsport \| holden ve commodore \| 22nd row 11 : 2010 \| hamilton street circuit \| 51 \| paul morris motorsport \| holden ve commodore \| 14th row 12 : 2011 \| hamilton street circuit \| 11 \| pepsi max crew \| holden ve commodore \| 24th row 13 : 2012 \| hamilton street circuit \| 51 \| pepsi max crew \| holden ve commodore \| 24th ] Execute this SQL based on the above table: select track where id = ( select id where track = 'pukekohe park raceway' ) + 1	pukekohe park raceway
[ header: name \| developer \| release \| type \| game flow \| setting row 1 : 8realms \| jagex \| 2011 (now closed) \| strategy \| real-time \| empire building row 2 : adventure quest worlds \| artix entertainment \| 2008 \| mmorpg \| real-time \| rpg row 3 : blood wars \| bw team \| 2006 \| mmorpg \| real-time \| post-apocalyptic world row 4 : business tycoon online \| dovogame llc \| 2009 \| mmorpg \| real-time \| fantasy/business simulation row 5 : castle marrach \| skotos \| 2001 \| role-playing \| real-time \| fantasy/storytelling row 6 : club penguin \| new horizon entertainment/disney \| 2005 \| social networking \| real-time \| antarctica row 7 : dead frontier \| neil yates \| 2008 \| mmorpg, third-person shoot \| real-time \| post-apocalyptic world row 8 : doomlord \| beholder kft \| 2008 \| rpg \| real-time \| fantasy row 9 : earth eternal \| sparkplay media \| 2009 \| mmorpg \| real-time \| fantasy row 10 : echo bazaar! \| failbetter games \| 2009 \| rpg \| turn-based \| gothic fantasy/steampunk row 11 : fusionfall \| cartoon network/grigon entertainment \| 2009 \| mmorpg \| real-time \| science fiction row 12 : legends of zork \| jolt online gaming \| 2009-2011 (now closed) \| role-playing \| turn-based \| fantasy/humorous row 13 : lord of ultima \| electronic arts \| 2010 \| strategy \| real-time \| fantasy row 14 : miniconomy \| trade games international bv \| 2002 \| strategy \| real-time \| contemporary/country building row 15 : nationstates \| max barry \| 2002 \| strategy \| real-time \| contemporary/country building row 16 : neopets \| viacom \| 1999 \| strategy, simulation \| real-time \| virtual pet site row 17 : pardus \| bayer&szell oeg \| 2004 \| strategy \| turn-based \| science fiction row 18 : pirate galaxy \| splitscreen studios \| 2000 \| role-playing \| real-time \| science fiction row 19 : planetarion \| fubra \| 2000 \| strategy \| turn-based \| science fiction row 20 : quick hit football \| play hard sports \| 2009 \| sports game \| None \| sports/american football row 21 : raceconflicts \| raceconflicts \| 2004 \| mmorpg \| turn-based \| fantasy row 22 : sentou gakuen \| pst team \| 2012 \| mmorpg, visual novel \| real-time \| school life row 23 : threechess \| rs consult bg lt \| 2010 \| strategy \| turn-based \| chess variant row 24 : transformice \| tigrounette, melibell \| 2010 \| platform game \| real-time \| mmog row 25 : travian \| travian games \| 2004 \| mmorts, strategy \| real-time \| antiquity/empire building row 26 : urban dead \| kevan davis \| 2005 \| mmorpg \| turn-based \| contemporary/zombies row 27 : tribal wars \| inno games \| 2003 \| strategy \| real-time \| empire building ] Execute this SQL based on the above table: select release where setting = 'antarctica'	2005
[ header: # \| name \| height \| weight (lbs.) \| position \| class \| hometown \| previous team(s) row 1 : 1 \| aaron johnson \| 5'8" \| 185 \| g \| sr \| chicago, il, u. \| hubbard hs row 2 : 3 \| anthony criswell \| 6'9" \| 230 \| f \| fr \| oklahoma city, ok, \| douglass high school row 3 : 4 \| jamarr sanders \| 6'4" \| 210 \| g \| sr \| montgomery, al, u. \| jeff davis high school nw row 4 : 5 \| robert williams \| 6'4" \| 210 \| g \| fr \| greenville, ms, u. \| weston high school row 5 : 10 \| karl moton \| 5'11" \| 195 \| g \| so \| stone mountain, ga, u.s \| chamblee hs row 6 : 21 \| beas hamga \| 6'11" \| 230 \| c \| jr \| douala, cameroon \| weatherford (texas) cc row 7 : 22 \| cameron moore \| 6'10" \| 230 \| f \| jr \| san antonio, \| roosevelt h row 8 : 23 \| dexter fields \| 6'2" \| 205 \| g \| so \| orlando, fl, \| olympia hs row 9 : 24 \| preston purifoy \| 6'5" \| 215 \| g \| fr \| conway, ar, u.s \| conway high school row 10 : 32 \| ovie soko \| 6'8" \| 210 \| f \| so \| london, england, \| bethel hs row 11 : 2 \| mike jones \| 6'1" \| 185 \| g \| sr \| nashville, tn, \| hunters lane high school row 12 : 25 \| quincy taylor \| 6'0" \| 185 \| g \| fr \| wichita, ks, \| wichita collegiate high school row 13 : 44 \| jordan swing \| 6'6" \| 200 \| f \| so \| birmingham, al, u. \| western kentucky university ] Execute this SQL based on the above table: select count ( * ) where height > 10	0
[ header: tournament \| 2001 \| 2002 \| 2003 \| 2004 \| 2005 \| 2006 \| 2007 \| 2008 \| 2009 \| 2010 \| 2011 \| 2012 \| 2013 \| 2014 \| w-l row 1 : australian open \| a \| a \| a \| a \| a \| a \| q3 \| a \| q3 \| 4r \| 2r \| 1r \| 1r \| 1r \| 3-5 row 2 : french open \| a \| a \| a \| a \| a \| a \| q1 \| a \| 1r \| 1r \| 3r \| 3r \| 2r \| None \| 5-5 row 3 : wimbledon \| a \| a \| a \| a \| a \| a \| q1 \| q1 \| q1 \| 2r \| 4r \| 2r \| qf \| None \| 9-4 row 4 : us open \| a \| a \| a \| a \| a \| 3r \| q3 \| a \| q2 \| 1r \| a \| 1r \| 1r \| None \| 2-4 row 5 : win-loss \| 0-0 \| 0-0 \| 0-0 \| 0-0 \| 0-0 \| 2-1 \| 0-0 \| 0-0 \| 0-1 \| 3-4 \| 6-3 \| 3-4 \| 5-4 \| 0-1 \| 19-18 row 6 : titles-finals \| 0-0 \| 0-0 \| 0-0 \| 0-0 \| 0-0 \| 0-0 \| 0-0 \| 0-0 \| 0-1 \| 0-1 \| 0-0 \| 0-0 \| 0-0 \| None \| 0-2 row 7 : year end ranking \| 427 \| 440 \| 371 \| 219 \| 142 \| 125 \| 222 \| 209 \| 101 \| 70 \| 57 \| 74 \| 72 \| None \| None ] Execute this SQL based on the above table: select min ( 2012 )	0-0
[ header: round \| opponent \| result \| brisbane \| opponent \| date \| venue \| crowd \| position \| bye row 1 : bocc \| celtic crusaders \| win \| 32 \| 6 \| 15 feb \| brewery field \| 2000 \| None \| 0 row 2 : wcc \| st helens \| loss \| 14 \| 18 \| 23 feb \| reebok stadium \| 23207 \| None \| 0 row 3 : trial match \| canberra raiders \| win \| 18 \| 12 \| 24 feb \| dolphin oval \| None \| None \| 0 row 4 : trial match \| melbourne storm \| loss \| 0 \| 46 \| 3 mar \| princes park \| 8273 \| None \| 0 row 5 : 1 \| north queensland cowboys \| loss \| 16 \| 23 \| 16 mar \| suncorp stadium \| 50416 \| 12/16 \| 0 row 6 : 2 \| new zealand warriors \| loss \| 14 \| 24 \| 25 mar \| mt smart stadium \| 16738 \| 12/16 \| 0 row 7 : 5 \| gold coast titans \| loss \| 16 \| 28 \| 13 apr \| suncorp stadium \| 47686 \| 13/16 \| 0 row 8 : 6 \| newcastle knights \| win \| 20 \| 16 \| 22 apr \| energyaustralia stadium \| 25524 \| 11/16 \| 0 row 9 : 7 \| melbourne storm \| loss \| 18 \| 28 \| 27 apr \| suncorp stadium \| 33750 \| 13/16 \| 0 row 10 : 8 \| south sydney rabbitohs \| win \| 8 \| 4 \| 4 may \| suncorp stadium \| 27387 \| 12/16 \| 0 row 11 : 9 \| cronulla sharks \| loss \| 8 \| 16 \| 11 may \| toyota park \| 12262 \| 13/16 \| 0 row 12 : 10 \| manly sea eagles \| loss \| 6 \| 18 \| 21 may \| brookvale oval \| 13493 \| 14/16 \| 0 row 13 : 11 \| newcastle knights \| win \| 71 \| 6 \| 27 may \| suncorp stadium \| 27433 \| 12/16 \| 0 row 14 : 12 \| st george illawarra \| loss \| 4 \| 11 \| 1 jun \| oki jubilee stadium \| 10302 \| 15/16 \| 0 row 15 : 13 \| None \| None \| None \| None \| None \| None \| None \| 12/16 \| 1 row 16 : 14 \| canterbury bulldogs \| win \| 19 \| 12 \| 15 jun \| telstra stadium \| 10121 \| 10/16 \| 0 row 17 : 15 \| wests tigers \| win \| 48 \| 18 \| 25 jun \| suncorp stadium \| 29364 \| 9/16 \| 0 row 18 : 16 \| penrith panthers \| win \| 24 \| 16 \| 30 jun \| cua stadium \| 8553 \| 7/16 \| 0 row 19 : 17 \| gold coast titans \| win \| 19 \| 18 \| 6 jul \| suncorp stadium \| 48621 \| 6/16 \| 0 row 20 : 18 \| north queensland cowboys \| win \| 24 \| 16 \| 13 jul \| dairy farmers stadium \| 25126 \| 5/16 \| 0 row 21 : 19 \| parramatta eels \| loss \| 16 \| 20 \| 23 jul \| suncorp stadium \| 25702 \| 5/16 \| 0 row 22 : 20 \| cronulla sharks \| win \| 30 \| 16 \| 29 jul \| suncorp stadium \| 24563 \| 5/16 \| 0 row 23 : 21 \| manly sea eagles \| loss \| 8 \| 21 \| 5 aug \| suncorp stadium \| 35784 \| 6/16 \| 0 row 24 : 22 \| melbourne storm \| loss \| 6 \| 14 \| 12 aug \| olympic park \| None \| 7/16 \| 0 row 25 : 23 \| canterbury bulldogs \| loss \| 24 \| 25 \| 17 aug \| suncorp stadium \| 35199 \| 9/16 \| 0 row 26 : 24 \| canberra raiders \| win \| 30 \| 19 \| 26 aug \| suncorp stadium \| 31614 \| 8/16 \| 0 ] Execute this SQL based on the above table: select position where position in ( '13/16' , '25 mar' ) group by position order by count ( * ) desc limit 1	13/16
[ header: rank \| heat \| athlete \| nationality \| time \| notes row 1 : 1 \| 1 \| natalya ivanova \| russia \| 23.11 \| q row 2 : 2 \| 1 \| elodie ouedraogo \| belgium \| 23.23 \| q row 3 : 3 \| 2 \| yelena yakovlev \| russia \| 23.37 \| q row 4 : 4 \| 1 \| monika bejnar \| poland \| 23.39 \| q, sb row 5 : 5 \| 1 \| nataliya pyhy \| ukraine \| 23.4 \| q, sb row 6 : 6 \| 2 \| laverne jones-ferr \| united states virgin islands \| 23.49 \| q row 7 : 7 \| 1 \| alena neumiarzhits \| belarus \| 23.52 \| None row 8 : 8 \| 1 \| adrienne power \| canada \| 23.62 \| None row 9 : 9 \| 2 \| grazyna prokopek \| poland \| 23.69 \| q row 10 : 10 \| 2 \| nikolett listar \| hungary \| 23.87 \| q row 11 : 11 \| 2 \| emily maher \| ireland \| 23.89 \| None row 12 : 12 \| 1 \| ruth grajeda \| mexico \| 23.96 \| None row 13 : 13 \| 2 \| edita kavaliauskiene \| lithuania \| 24.09 \| None row 14 : 14 \| 2 \| raquel da costa \| brazil \| 24.18 \| None row 15 : 15 \| 2 \| kim wall \| great britain \| 24.31 \| None row 16 : 16 \| 1 \| doris tomasini \| italy \| 24.4 \| None ] Execute this SQL based on the above table: select count ( * ) where notes = 'None'	0
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| russia \| 17 \| 5 \| 5 \| 27 row 2 : 2 \| bulgaria \| 5 \| 2 \| 3 \| 10 row 3 : 4 \| ukraine \| 1 \| 2 \| 11 \| 14 row 4 : 6 \| latvia \| 1 \| 0 \| 0 \| 1 row 5 : 7 \| uzbekistan \| 0 \| 3 \| 4 \| 7 row 6 : 8 \| lithuania \| 0 \| 1 \| 6 \| 7 row 7 : 8 \| venezuela \| 0 \| 3 \| 3 \| 6 row 8 : 13 \| azerbaijan \| 0 \| 1 \| 0 \| 1 row 9 : 13 \| france \| 0 \| 1 \| 0 \| 1 row 10 : 13 \| germany \| 0 \| 1 \| 0 \| 1 row 11 : 13 \| romania \| 0 \| 1 \| 0 \| 1 row 12 : 17 \| serbia \| 0 \| 0 \| 1 \| 1 row 13 : 17 \| spain \| 0 \| 0 \| 1 \| 1 row 14 : 17 \| tajikistan \| 0 \| 0 \| 1 \| 1 row 15 : 21 \| algeria \| 0 \| 0 \| 0 \| 0 row 16 : 21 \| austria \| 0 \| 0 \| 0 \| 0 row 17 : 21 \| belgium \| 0 \| 0 \| 0 \| 0 row 18 : 21 \| cameroon \| 0 \| 0 \| 0 \| 0 row 19 : 21 \| canada \| 0 \| 0 \| 0 \| 0 row 20 : 21 \| colombia \| 0 \| 0 \| 0 \| 0 row 21 : 21 \| czech republic \| 0 \| 0 \| 0 \| 0 row 22 : 21 \| cyprus \| 0 \| 0 \| 0 \| 0 row 23 : 21 \| ecuador \| 0 \| 0 \| 0 \| 0 row 24 : 21 \| great britain \| 0 \| 0 \| 0 \| 0 row 25 : 21 \| india \| 0 \| 0 \| 0 \| 0 row 26 : 21 \| indonesia \| 0 \| 0 \| 0 \| 0 row 27 : 21 \| ireland \| 0 \| 0 \| 0 \| 0 row 28 : 21 \| israel \| 0 \| 0 \| 0 \| 0 row 29 : 21 \| italy \| 0 \| 0 \| 0 \| 0 row 30 : 21 \| jordan \| 0 \| 0 \| 0 \| 0 row 31 : 21 \| south korea \| 0 \| 0 \| 0 \| 0 row 32 : 21 \| kyrgyzstan \| 0 \| 0 \| 0 \| 0 row 33 : 21 \| lebanon \| 0 \| 0 \| 0 \| 0 row 34 : 21 \| malaysia \| 0 \| 0 \| 0 \| 0 row 35 : 21 \| morocco \| 0 \| 0 \| 0 \| 0 row 36 : 21 \| nepal \| 0 \| 0 \| 0 \| 0 row 37 : 21 \| new zealand \| 0 \| 0 \| 0 \| 0 row 38 : 21 \| pakistan \| 0 \| 0 \| 0 \| 0 row 39 : 21 \| panama \| 0 \| 0 \| 0 \| 0 row 40 : 21 \| peru \| 0 \| 0 \| 0 \| 0 row 41 : 21 \| poland \| 0 \| 0 \| 0 \| 0 row 42 : 21 \| slovenia \| 0 \| 0 \| 0 \| 0 row 43 : 21 \| slovakia \| 0 \| 0 \| 0 \| 0 row 44 : 21 \| thailand \| 0 \| 0 \| 0 \| 0 row 45 : 21 \| tunisia \| 0 \| 0 \| 0 \| 0 row 46 : 21 \| united states \| 0 \| 0 \| 0 \| 0 ] Execute this SQL based on the above table: select nation where silver = ( select silver where nation = 'ecuador' ) + 1	lithuania, azerbaijan, france, germany, romania
[ header: stamp issue date \| stamp set \| #cards \| card set ref \| qty. issued row 1 : 16 may 1973 \| county cricket, 1873-1973 \| one \| phq 1 \| 20000 row 2 : 15 august 1973 \| 400th anniversary, birth of inigo \| one \| phq 2 \| 20000 row 3 : 12 september 1973 \| 19th commonwealth parliamentary conference \| one \| phq 3 \| 15200 row 4 : 14 november 1973 \| royal wedding (the princess anne) \| one \| phq 4 \| 290000 row 5 : 27 february 1974 \| british trees \| one \| phq 5 \| 16750 row 6 : 24 april 1974 \| fire service anniversary \| one \| phq 6 \| 30000 row 7 : 10 july 1974 \| medieval warriors \| four \| phq 7 \| 31750 row 8 : 9 october 1974 \| winston churchill centenary \| one \| phq 8 \| 114430 row 9 : 19 february 1975 \| bicentenary, birth j. \| one \| phq 9 \| 46250 row 10 : 23 april 1975 \| european architectural year \| three \| phq 10 \| 51000 row 11 : 11 june 1975 \| sailing \| one \| phq 11 \| 41350 row 12 : 13 august 1975 \| 150th anniversary of public railways \| four \| phq 12 \| 47500 row 13 : 22 october 1975 \| jane austen bicentenary \| four \| phq 13 \| 27330 row 14 : 28 april 1976 \| social reformers \| one \| phq 14 \| 38350 row 15 : 2 june 1976 \| american bicentenary \| one \| phq 15 \| 60950 row 16 : 30 june 1976 \| roses \| four \| phq 16 \| 34250 ] Execute this SQL based on the above table: select count ( stamp issue date ) where qty. issued <= 0	0
[ header: region \| date \| label \| format \| catalog row 1 : united kingdom \| june 10, 1985 \| i.r.s \| vinyl lp \| mirf1003 row 2 : united states \| june 11, 1985 \| i.r.s \| lp \| irs-5592 row 3 : united states \| june 11, 1985 \| i.r.s \| cassette tape \| irsc-5592 row 4 : united states \| june 11, 1985 \| i.r.s \| compact disc \| irsd-5592 row 5 : greece \| 1985 \| illegal \| lp \| 26525 row 6 : australia \| 1985 \| i.r.s./epic \| lp \| elps 4495 row 7 : the netherlands \| 1985 \| i.r.s \| lp \| 26525 row 8 : worldwide \| 1990 \| mca \| compact disc \| 5592 row 9 : worldwide \| 1990 \| i.r.s \| cassette tape \| irsc-5592 row 10 : the netherlands \| august 6, 1992 \| emi \| compact disc \| 7 13160 2 9 row 11 : united kingdom \| 1992 \| simply vinyl \| 180-gram vinyl lp \| svlp151 row 12 : worldwide \| 1998 \| capitol \| compact disc \| 93479 row 13 : europe \| 1998 \| emi \| compact disc \| 13160 row 14 : worldwide \| 1999 \| i.r.s \| compact disc \| 19016 row 15 : united states \| 1999 \| simply vinyl \| lp \| 151 row 16 : europe \| 2000 \| i.r.s \| compact disc \| 7131602 ] Execute this SQL based on the above table: select label where format <= 322	simply vinyl
[ header: season \| greek league \| greek cup \| europe \| coach \| roster row 1 : 1928-29 \| champion \| None \| None \| nikos nisiot \| christos svolopoulos row 2 : 1938-39 \| champion \| None \| None \| None \| None row 3 : 1949-50 \| finalist \| None \| None \| None \| None row 4 : 1950-51 \| finalist \| None \| None \| None \| None row 5 : 1952-53 \| champion \| None \| None \| None \| themis cholevas, panagiot row 6 : 1953-54 \| finalist \| None \| None \| None \| None row 7 : 1956-57 \| champion \| None \| None \| None \| antonis christeas, row 8 : 1969-70 \| 3rd place \| _ \| _ \| None \| vasilis goumas row 9 : 1974-75 \| _ \| None \| korac cup last 32 \| None \| vasilis goumas row 10 : 1977-78 \| 3rd place \| last 16 \| korac cup last 16 \| None \| None row 11 : 1978-79 \| _ \| last 8 \| korac cup last 32 \| None \| None row 12 : 1980-81 \| _ \| last 16 \| korac cup last 32 \| None \| None row 13 : 1986-87 \| _ \| finalist \| cup winners' cup last 32 \| nikos pavlou \| giannopoulos, stamati row 14 : 2004-05 \| 12th place \| last 16 \| None \| manos manouselis, \| gary trent, miroslav beric row 15 : 2008-09 \| 6th place \| last 8 \| eurocup last 16 \| elias zouros \| anthony grundy, jurica ] Execute this SQL based on the above table: select greek league where greek cup = 'last 16' order by coach asc limit 1	3rd place
[ header: name of place \| number of counties \| principal county \| lower zip code row 1 : aberdeen \| 1 \| monroe county \| 72134 row 2 : advance \| 1 \| baxter county \| None row 3 : aggie \| 1 \| craighead county \| None row 4 : air base \| 1 \| pulaski county \| 72076 row 5 : alabam \| 1 \| madison county \| 72740 row 6 : alamo \| 1 \| montgomery county \| None row 7 : albion \| 1 \| white county \| 72143 row 8 : alexander \| 1 \| greene county \| 72450 row 9 : alexander \| 2 \| pulaski county \| 72002 row 10 : alfrey \| 1 \| monroe county \| 72021 row 11 : algoa \| 1 \| jackson county \| 72112 row 12 : alix \| 1 \| franklin county \| 72820 row 13 : alleene \| 1 \| little river county \| 71820 row 14 : allis \| 1 \| drew county \| None row 15 : alpha \| 1 \| yell county \| None row 16 : amy \| 1 \| ouachita county \| 71701 row 17 : andrews \| 1 \| white county \| None row 18 : anthony \| 1 \| hempstead county \| 71801 row 19 : anthony subdivision \| 1 \| crittenden county \| None row 20 : anthonyville \| 1 \| crittenden county \| 72301 row 21 : antioch \| 1 \| white county \| 72012 row 22 : apalco \| 1 \| lafayette county \| None row 23 : appleby \| 1 \| washington county \| None row 24 : applegate ford \| 1 \| carroll county \| None row 25 : arbaugh \| 1 \| newton county \| 72852 row 26 : arden \| 1 \| little river county \| 71822 row 27 : arkansas a and m \| 1 \| drew county \| None row 28 : arkansas polytechnic college \| 1 \| pope county \| None row 29 : arkansas state teachers college \| 1 \| faulkner county \| None row 30 : arkawana \| 1 \| baxter county \| None row 31 : arkinda \| 1 \| little river county \| 71836 row 32 : armstrong \| 1 \| sharp county \| 72482 row 33 : artesian \| 1 \| calhoun county \| None row 34 : artex \| 1 \| miller county \| None row 35 : artist point \| 1 \| crawford county \| None row 36 : asher \| 1 \| madison county \| 72727 row 37 : asher \| 1 \| pulaski county \| 72204 row 38 : ash flat \| 2 \| sharp county \| 72513 row 39 : ash flat \| 2 \| fulton county \| 72513 row 40 : ashton \| 1 \| chicot county \| 71653 row 41 : athelstan \| 1 \| mississippi county \| 72370 row 42 : athens \| 1 \| howard county \| 71971 row 43 : attica \| 1 \| randolph county \| 72455 row 44 : atwood \| 1 \| howard county \| None row 45 : aubrey \| 1 \| lee county \| 72311 row 46 : augsburg \| 1 \| pope county \| 72874 row 47 : augusta \| 1 \| woodruff county \| 72006 row 48 : austin \| 1 \| conway county \| 72027 row 49 : avery \| 1 \| lincoln county \| 71639 ] Execute this SQL based on the above table: select principal county where principal county in ( 'lincoln county' , 'mississippi county' ) order by lower zip code desc limit 1	mississippi county
[ header: category \| age (ethnicity) \| n \| v1 \| v2 \| v3 \| v4 \| v5 \| v6 row 1 : None \| 1 week - 1 y \| 210 \| 92% \| 74% \| 27% \| 20% \| 0.50% \| 0% row 2 : None \| 1 y - 2 y \| 154 \| 96% \| 85% \| 39% \| 10% \| 0.70% \| 0% row 3 : None \| 2 y - 5 y \| 202 \| 98% \| 50% \| 22% \| 7% \| 1% \| 0% row 4 : None \| 5 y - 8 y \| 94 \| 91% \| 25% \| 14% \| 5% \| 1% \| 1% row 5 : None \| 8 y - 16 y \| 90 \| 62% \| 7% \| 2% \| 0% \| 0% \| 0% row 6 : males \| 12 y - 13 y \| 209 \| 47% \| 7% \| 0% \| 0% \| 0% \| 0% row 7 : males \| 13 y - 14 y \| 260 \| 35% \| 4.60% \| 0.80% \| 0% \| 0% \| 0% row 8 : males \| 16 y - 19 y (white \| 50 \| 32% \| 0% \| 0% \| 0% \| 0% \| 0% row 9 : males \| 16 y - 19 y (black \| 310 \| 46% \| 7% \| 2.90% \| 1.30% \| 0% \| 0% row 10 : males \| 20 - 30 y (whites) \| 285 \| 41% \| 0% \| 0% \| 0% \| 0% \| 0% row 11 : males \| 20 - 30 y (blacks) \| 295 \| 37% \| 0% \| 0% \| 0% \| 0% \| 0% row 12 : females \| 12 y - 13 y \| 174 \| 69% \| 11% \| 1.20% \| 0% \| 0% \| 0% row 13 : females \| 13 y - 14 y \| 154 \| 52% \| 8.40% \| 1.40% \| 0% \| 0% \| 0% row 14 : females \| 16 y - 19 y (white \| 50 \| 66% \| 0% \| 0% \| 0% \| 0% \| 0% row 15 : females \| 16 - 19 y (blacks) \| 310 \| 73% \| 9% \| 1.30% \| 0.60% \| 0% \| 0% row 16 : females \| 20 - 30 y (whites) \| 280 \| 55% \| 0% \| 0% \| 0% \| 0% \| 0% row 17 : females \| 20 - 30 y (blacks) \| 330 \| 55% \| 2.40% \| 1% \| 0% \| 0% \| 0% ] Execute this SQL based on the above table: select category where v1 = '55%'	females, females
[ 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 driver(s) order by # limit 1	ted musgrave
[ header: n \| p \| nat. \| name \| age \| moving from \| type \| transfer window \| ends \| transfer fee row 1 : 20 \| rw \| por \| nuno capucho \| 31 \| porto \| transfer \| summer \| 2005 \| £0.67m row 2 : 15 \| cb \| georgia \| zurab khizanishvili \| 21 \| dundee \| transfer \| summer \| 2006 \| free row 3 : 16 \| lb \| ita \| paolo vanoli \| 30 \| bologna \| transfer \| summer \| 2005 \| free row 4 : 25 \| cb \| nor \| henning berg \| 33 \| blackburn rovers \| transfer \| summer \| 2004 \| free row 5 : 4 \| cm \| bra \| emerson \| 31 \| atletico madrid \| transfer \| summer \| 2005 \| free row 6 : 9 \| cf \| nor \| egil østenstad \| 31 \| blackburn rovers \| transfer \| summer \| 2004 \| free row 7 : 37 \| lm \| tun \| hamed namouchi \| 19 \| cannes \| transfer \| None \| 2005 \| free row 8 : None \| cm \| fra \| marc kalenga \| 18 \| auxerre \| transfer \| None \| 2004 \| free row 9 : 11 \| cm \| sco \| gavin rae \| 26 \| dundee \| transfer \| winter \| 2007 \| £0.25m row 10 : 5 \| cb \| ned \| frank de boer \| 33 \| galatasaray \| transfer \| winter \| 2004 \| free row 11 : 52 \| cf \| mkd \| bajram fetai \| 18 \| b.93 \| transfer \| winter \| 2006 \| £0.2m ] Execute this SQL based on the above table: select count ( * )	11
[ header: party \| votes \| % \| swing \| seats \| change row 1 : australian labor party \| 324135 \| 51.52 \| -0.12 \| 26 \| -1 row 2 : liberal and country league \| 250312 \| 39.79 \| -3.97 \| 20 \| 0 row 3 : nationals sa \| 24810 \| 3.94 \| 2.05 \| 1 \| 1 row 4 : independent \| 27178 \| 4.32 \| 2.86 \| 0 \| 0 row 5 : other \| 2708 \| 0.43 \| -0.81 \| 0 \| 0 row 6 : total \| 629143 \| None \| None \| 47 \| None row 7 : australian labor party \| win \| 54.5 \| 1.2 \| 26 \| -1 row 8 : liberal and country league \| None \| 45.5 \| -1.2 \| 21 \| 1 ] Execute this SQL based on the above table: select count ( swing ) where % >= '-0.81' and % <= '2.05' and swing >= 369	0
[ header: song \| chinese \| hito radio top 10 \| 9+2 music top 15 \| global asia top 15 \| ufo radio top 15 \| channel [v] top 20 \| mtv taiwan top 20 \| yes 93.3 top 20 row 1 : super star \| None \| 3 \| None \| >4 \| 3 \| 4 \| None \| 14 row 2 : far away \| 遠方 \| None \| None \| 3 \| 2 \| 5 \| None \| 7 row 3 : half-sugarism \| 半糖主義 \| 3 \| None \| None \| 7 \| None \| 3 \| None row 4 : river shore park \| 河濱公園 \| 1 \| 2 \| None \| None \| None \| None \| None row 5 : i.o.i.o \| None \| 2 \| None \| None \| 5 \| 3 \| None \| None row 6 : heavy rain \| 落大雨 \| 1 \| None \| None \| None \| None \| >1 \| None row 7 : smile of summer \| 夏天的微笑 \| 3 \| None \| None \| None \| None \| 7 \| None ] Execute this SQL based on the above table: select song where song = 'i.o.i.o' and hito radio top 10 < 1620	i.o.i.o
[ 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 nation where nation in ( 'chile (chi)' , 'united states (usa)' ) order by total asc limit 1	chile (chi)
[ header: name \| date \| nation \| displacement \| speed \| number \| notes row 1 : fmr-class \| 1943 \| us \| 1,200 tons \| 21 knots \| 85 \| None row 2 : gmt-class \| 1943 \| us \| 1,140 tons \| 21 knots \| 72 \| None row 3 : det-class \| 1943 \| us \| 1,240 tons \| 21 knots \| 72 \| None row 4 : tacoma-class frigate \| 1943 \| us \| 1,430 tons \| 20 knots \| 96 \| None row 5 : type b kaibokan \| 1943 \| japan \| 940 tons \| 19 knots \| 37 \| None row 6 : tev-class \| 1944 \| us \| 1,450 tons \| 24 knots \| 22 \| None row 7 : bay-class frigates \| 1945 \| uk \| 1,580 tons \| 20 knots \| 26 \| anti-aircraft row 8 : dealey-class \| 1954 \| us \| 1,450 tons \| 25 knots \| 13 \| None row 9 : type e50 frigate \| 1955 \| france \| 1,290 tons \| 28 knots \| 4 \| fast row 10 : type 14 frigate \| 1955 \| uk \| 1,180 tons \| 24 knots \| 8 \| anti-submarine row 11 : st. laurent-class \| 1955 \| canada \| 2,263 tons \| 28 knots \| 7 \| anti-submarine row 12 : type b \| 1956 \| japan \| 1,070 tons \| 25 knots \| 2 \| diesel row 13 : type 12 frigate \| 1956 \| uk \| 2,150 tons \| 31 knots \| 6 \| anti-submarine row 14 : almirante clemente-class light \| 1956 \| venezuela \| 1,300 tons \| 32 knots \| 6 \| fast row 15 : type 61 frigate \| 1957 \| uk \| 2,170 tons \| 24 knots \| 4 \| aircraft direction row 16 : canopo-class frigate \| 1957 \| italy \| 1,807 tons \| 26 knots \| 4 \| None row 17 : azopardo-class frigate \| 1957 \| argentina \| 1,160 tons \| 20 knots \| 2 \| None row 18 : restigouche-class \| 1958 \| canada \| 2,366 tons \| 28 knots \| 7 \| anti-submarine row 19 : claud jones-class \| 1959 \| us \| 1,450 tons \| 22 knots \| 4 \| None row 20 : type 12m frigate \| 1960 \| uk \| 2,380 tons \| 30 knots \| 12 \| anti-submarine row 21 : koln-class frigate \| 1961 \| germany \| 2,100 tons \| 30 knots \| 6 \| fast row 22 : river-class \| 1961 \| australia \| 2,100 tons \| 30 knots \| 6 \| None row 23 : river-class \| 1961 \| japan \| 1,490 tons \| 25 knots \| 4 \| None row 24 : type 81 frigate \| 1961 \| uk \| 2,300 tons \| 28 knots \| 7 \| general purpose row 25 : mackenzie-class \| 1962 \| canada \| 2,366 tons \| 28 knots \| 4 \| anti-submarine row 26 : hvidbjørnen- \| 1962 \| denmark \| 1,345 tons \| 18 knots \| 4 \| fishery protection row 27 : type 12i frigate \| 1963 \| uk \| 2,450 tons \| 30 knots \| 26 \| general purpose row 28 : bronstein-class \| 1963 \| us \| 2,360 tons \| 26 knots \| 2 \| None row 29 : garcia-class \| 1964 \| us \| 2,620 tons \| 27 knots \| 10 \| None row 30 : oslo-class frigate \| 1966 \| norway \| 1,450 tons \| 25 knots \| 5 \| None row 31 : brooke-class \| 1966 \| us \| 2,640 tons \| 27 knots \| 6 \| guided missile row 32 : peder skram-class frigate \| 1966 \| denmark \| 2,030 tons \| 28 knots \| 2 \| fast row 33 : van speijk-class frigate \| 1967 \| netherlands \| 2,200 tons \| 28 knots \| 6 \| None row 34 : alpino-class frigate \| 1968 \| italy \| 2,000 tons \| 28 knots \| 2 \| None ] Execute this SQL based on the above table: select count ( notes ) where date not null and displacement is null	0
[ header: first issued \| design \| slogan \| serial format \| serials issued \| notes row 1 : 1913 \| red lettering and white background painted on porcelain- \| none \| 12345 \| None \| steel registration seal on right side between "n. row 2 : 1933 \| orange lettering embossed on black base \| none \| a12345 \| None \| county letter code at left row 3 : 1952-56 \| orange lettering embossed on black base \| none \| a/b 123; a/ \| None \| tab for subsequent years inserted over original date row 4 : 1959 \| black on buff, non-reflective, \| garden state embossed in plain block letters below \| abc-123 \| aaa-100 to rh \| None row 5 : 1960 \| black on buff, non-reflective, \| in transit embossed in plain block letters below \| f-86-3 \| f-11-3 to f-99- \| from the collection of richard watson row 6 : 1970 \| black on buff, non-reflective, \| garden state embossed in plain block letters below \| abc-123 \| uaa-100 to yzz \| None row 7 : 1973 \| black on buff, non-reflective, \| garden state embossed in plain block letters below \| 123-abc \| 100-aaa to 999-h \| None row 8 : 1977 \| black on buff, non-reflective, \| garden state embossed in plain block letters below \| 123-abc \| 100-hca to 999-kzz \| None row 9 : 1979 \| yellow on blue, non-reflective, \| garden state embossed in plain block letters below \| 123-abc; new jersey state \| 100-laa to 999-zzz \| None row 10 : 1985 \| yellow on blue, non-reflective, \| garden state embossed in plain block letters below \| abc-123; new jersey state icon used \| zaa-100 to zzz- \| None row 11 : 1999 \| black embossed numbers on yellow to white gradient \| garden state screened in black plain block letters below \| abc-12d; new jersey state icon used \| jaa-10a to vzt- \| None row 12 : 2010 \| black embossed numbers on yellow to white gradient \| garden state screened in black plain block letters below \| a12-abc; new jersey \| a10-aaa to present 4, \| k43-ecg (current highest ] Execute this SQL based on the above table: select first issued where serial format = 'f-86-3'	1960
[ header: # \| title \| producer(s) \| featured guest(s) \| length row 1 : 1 \| "intro" \| swizzo (of drum squad) \| None \| 1:41 row 2 : 2 \| "interlude" \| crown kingz productions (ckp) \| None \| 2:22 row 3 : 3 \| "dem boyz" \| nitti \| p. diddy \| 4:16 row 4 : 4 \| "felonies" \| jazze pha \| None \| 5:49 row 5 : 5 \| "look" \| drumma boy \| None \| 4:56 row 6 : 6 \| "gangstas" \| erick sermon \| eazy-e \| 3:49 row 7 : 7 \| "don't put your hands on me" \| dj toomp \| None \| 4:33 row 8 : 8 \| "bitches & bizness" \| nitti \| rick ross (uncredited) \| 4:21 row 9 : 9 \| "trap niggas" \| drumma boy \| None \| 3:37 row 10 : 10 \| "still slizzard" \| nitti \| None \| 5:07 row 11 : 11 \| "no talkin" \| sanchez \| None \| 5:25 row 12 : 12 \| "happy jamz" \| jazze pha \| jazze pha \| 4:48 row 13 : 13 \| "if u a thug \| keith mack \| None \| 5:09 row 14 : 14 \| "lay it down" \| jasper \| None \| 4:17 row 15 : 15 \| "pussy m.f.' \| horace "bubba" mitchell \| trick daddy \| 4:24 row 16 : 16 \| "keep it hood 2nite" \| midnight black \| None \| 3:23 ] Execute this SQL based on the above table: select title where producer(s) = 'nitti'	"dem boyz", "bitches & bizness", "still slizzard"
[ 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 conf. where rnd. = ( select rnd. where conf. = 'sec' ) + 1	sec, big east
[ header: name \| first held \| country \| earliest attendance figure known \| 1998 attendance \| 2000 attendance \| 2002 attendance \| 2004 attendance \| 2006 attendance \| 2008 attendance \| 2010 attendance \| 2012 attendance row 1 : animefest \| 1992 \| usa \| 105 (1992) \| 650 \| 750 \| 1800 \| 2725 \| 4127 \| None \| None \| None row 2 : animeexpo \| 1992 \| usa \| 1750 (1992) \| 4883 \| 9700 \| 15250 \| 25000 \| 40647 \| 43000 \| 44000 \| 49400 row 3 : fanimecon \| 1994 \| usa \| 200 (1994) \| 1700 \| 2300 \| 4600 \| 6122 \| 10000 \| 14926 \| 16000 \| 21000 row 4 : otakon \| 1994 \| usa \| 350 (1994) \| 2500 \| 7500 \| 12880 \| 20899 \| 22302 \| 26262 \| 29274 \| 32724 row 5 : katsucon \| 1995 \| usa \| 500 (1995) \| 1400 \| 2300 \| 3000 \| 4300 \| 5664 \| 6300 \| None \| 12614 row 6 : nan desu kan \| 2000 \| usa \| None \| None \| 1477 \| 2467 \| 2859 \| 5018 \| 5975 \| None \| None row 7 : animeiowa \| 1997 \| usa \| 150 (1997) \| 300 \| 700 \| None \| None \| None \| None \| None \| None row 8 : otafest \| 1999 \| usa \| 700 (1999) \| None \| 900 \| None \| None \| None \| 4042 \| 3697 \| None row 9 : sakura-con \| 2000 \| usa \| 866(2000) \| 313 \| 866 \| 2328 \| 4425 \| 7500 \| 13600 \| 18002 \| 21457 row 10 : shoujocon \| 2000 \| usa \| 456(2000) \| 456 \| 1229 \| None \| None \| None \| None \| None \| None row 11 : j-popcon \| 2000 \| denmark \| None \| None \| 200 \| None \| None \| 1000 \| None \| 2200 \| None row 12 : sugoicon \| 2000 \| usa \| 522(2000) \| None \| 522 \| 930 \| 1333 \| 1400 \| None \| None \| None row 13 : ohayocon \| 2001 \| usa \| 654(2001) \| None \| None \| 1200 \| 3042 \| 4257 \| 7000 \| 10120 \| 40 row 14 : big apple anime fest \| 2001 \| usa \| 3500(2001) \| None \| None \| 7500 \| None \| None \| None \| None \| None row 15 : manifest \| 2001 \| australia \| 3500(2006) \| None \| None \| None \| None \| 3500 \| 4800 \| None \| None row 16 : anime detour \| 2004 \| usa \| 1200(2004) \| None \| None \| None \| 1200 \| 2464 \| 3000 \| None \| None row 17 : portconmaine \| 2002 \| usa \| 250(2002) \| None \| None \| 250 \| 811 \| 1400 \| 1650 \| 2072 \| 2306 row 18 : anime friends \| 2003 \| brazil \| 25000(2004) \| None \| None \| None \| 25000 \| 50000 \| 120000 \| None \| None row 19 : anime nebraskon \| 2004 \| usa \| None \| None \| None \| None \| 300 \| None \| None \| 2000 \| None row 20 : tsubasacon \| 2004 \| usa \| 407(2004) \| None \| None \| None \| 407 \| 564 \| 723 \| 1105 \| 1320 row 21 : kawaii kon \| 2005 \| hawaii \| 2610 (2005) \| None \| None \| None \| None \| 2610 \| 3495 \| 4877 \| 6077 row 22 : sac-anime \| 2005 \| usa \| 2000(2006) \| None \| None \| None \| None \| 2000 \| None \| None \| 5000 row 23 : youmacon \| 2005 \| usa \| 1078(2005) \| None \| None \| None \| None \| 2125 \| 4494 \| None \| 12156 row 24 : anime punch \| 2005 \| usa \| 200(2005) \| None \| None \| None \| None \| 977 \| 1337 \| 1206 \| None ] Execute this SQL based on the above table: select name where country = 'usa' and 2012 attendance <= 12156	ohayocon, portconmaine, tsubasacon, sac-anime, youmacon
[ header: year \| 1st venue \| 2nd venue \| 3rd venue \| 4th venue \| 5th venue \| 6th venue row 1 : 2007 \| sheffield \| mexico city \| nanjing \| None \| None \| None row 2 : 2008 \| tijuana \| sheffield \| nanjing \| None \| None \| None row 3 : 2009 \| doha \| changzhou \| sheffield \| tijuana \| None \| None row 4 : 2010 \| qingdao \| veracruz \| veracruz \| None \| None \| None row 5 : 2011 \| moscow \| beijing \| sheffield \| guanajuato \| None \| None row 6 : 2012 \| dubai \| beijing \| moscow \| tijuana \| None \| None row 7 : 2013 \| beijing \| dubai \| edinburgh \| moscow \| guadalajara \| guadalajara row 8 : 2014 \| beijing \| dubai \| london \| moscow \| windsor \| monterrey ] Execute this SQL based on the above table: select count ( 5th venue )	2
[ header: coach \| years \| seasons \| wins \| losses \| ties \| pct row 1 : o. b. "rip" \| 1908 \| 1 \| 5 \| 1 \| 0 \| 0.833 row 2 : ed sabre \| 1920 \| 1 \| 3 \| 1 \| 0 \| 0.75 row 3 : mack erwin \| 1957-60 \| 4 \| 62 \| 30 \| 1 \| 0.672 row 4 : chal port \| 1965-91 \| 27 \| 641 \| 386 \| 2 \| 0.624 row 5 : fred jordan \| 1992-pres \| 22 \| 726 \| 552 \| 0 \| 0.568 row 6 : john d. mcmillan \| 1952-53 \| 2 \| 14 \| 15 \| 0 \| 0.483 row 7 : jim newsome \| 1961-64 \| 4 \| 37 \| 43 \| 0 \| 0.463 row 8 : bunzy o'neal \| 1948 \| 1 \| 6 \| 7 \| 0 \| 0.462 row 9 : george c. rogers \| 1914-15, 1921-24 \| 6 \| 26 \| 33 \| 1 \| 0.441 row 10 : fred montsdeoca \| 1954-56 \| 2 \| 22 \| 31 \| 0 \| 0.415 row 11 : george a. schmick \| 1910 \| 1 \| 4 \| 6 \| 0 \| 0.4 row 12 : thomas s. mc \| 1916, 1919 \| 2 \| 8 \| 12 \| 0 \| 0.4 row 13 : harold manley \| 1954 \| 1 \| 5 \| 9 \| 0 \| 0.357 row 14 : "barney" legge \| 1911 \| 1 \| 2 \| 5 \| 1 \| 0.286 row 15 : h. l. "matty" \| 1926-30, 37-38 \| 3 \| 10 \| 25 \| 1 \| 0.286 row 16 : dusty rhodes \| 1947 \| 1 \| 2 \| 5 \| 0 \| 0.286 row 17 : "shorty" o'brien \| 1918 \| 1 \| 3 \| 9 \| 0 \| 0.25 row 18 : "bull dog" drummond \| 1925 \| 1 \| 2 \| 7 \| 0 \| 0.222 ] Execute this SQL based on the above table: select count ( coach ) where seasons = 1	9
[ header: transmitter \| kw \| bbca \| bbcb \| d3&4 \| sdn \| arqa \| arqb \| pol. \| a.g. row 1 : allenheads \| 0.002 \| 27 \| 21 \| 24 \| None \| None \| None \| v \| a k row 2 : alston \| 0.08 \| 39 \| 45 \| 42 \| None \| None \| None \| v \| b e k row 3 : bellingham \| 0.01 \| 27 \| 21 \| 24 \| None \| None \| None \| v \| a k row 4 : blaydon burn \| 0.002 \| 44 \| 47 \| 41 \| None \| None \| None \| v \| b e k row 5 : byrness \| 0.01 \| 27 \| 21 \| 24 \| None \| None \| None \| v \| a k row 6 : catton beacon \| 0.028 \| 40 \| 46 \| 43 \| None \| None \| None \| v \| b e k row 7 : durham \| 0.003 \| 41 \| 47 \| 44 \| None \| None \| None \| v \| b e k row 8 : esh \| 0.0024 \| 39 \| 45 \| 42 \| None \| None \| None \| v \| b e k row 9 : felling \| 0.002 \| 40 \| 43 \| 46 \| None \| None \| None \| v \| b e k row 10 : fenham \| 0.4 \| 27 \| 21 \| 24 \| 25 \| 22 \| 28 \| v \| a k row 11 : haltwhistle \| 0.4 \| 59 \| 55 \| 62- \| None \| None \| None \| v \| c/d e row 12 : haydon bridge \| 0.02 \| 44 \| 41 \| 47 \| None \| None \| None \| v \| b e k row 13 : hedleyhope \| 0.004 \| 41 \| 47 \| 44 \| None \| None \| None \| v \| b e k row 14 : humshaugh \| 0.0118 \| 39 \| 45 \| 42 \| None \| None \| None \| v \| b e k row 15 : ireshopeburn \| 0.0022 \| 55 \| 59 \| 50 \| None \| None \| None \| v \| c/d e row 16 : kielder \| 0.0054 \| 26 \| 23 \| 29 \| None \| None \| None \| v \| a k row 17 : morpeth \| 0.0088 \| 22 \| 28 \| 25 \| None \| None \| None \| v \| a k row 18 : newton \| 0.4 \| 26 \| 23 \| 29 \| None \| None \| None \| v \| a k row 19 : seaham \| 0.059 \| 44 \| 47 \| 46 \| None \| None \| None \| v \| b e k row 20 : shotleyfield \| 0.04 \| 22 \| 28 \| 25 \| None \| None \| None \| v \| a k row 21 : staithes \| 0.002 \| 52 \| 51 \| 48 \| None \| None \| None \| v \| b c/d e row 22 : sunderland \| 0.006 \| 52 \| 51 \| 48 \| None \| None \| None \| v \| b c/d e row 23 : wall \| 0.0042 \| 52 \| 51 \| 48 \| None \| None \| None \| h \| b c/d e row 24 : weardale \| 0.2 \| 44 \| 41 \| 47 \| None \| None \| None \| v \| b e k row 25 : whitaside \| 0.0025 \| 44 \| 41 \| 47 \| None \| None \| None \| v \| b e k ] Execute this SQL based on the above table: select count ( * ) where pol. = 'v'	24
[ header: date \| championship \| location \| category \| surface \| prev. result \| prev. points \| new points \| outcome row 1 : 29 december 2013- 5 janu \| brisbane international \| brisbane (aus) \| wta premier \| hard \| sf \| 200 \| 305 \| final lost to serena williams row 2 : 14 january 2014- 27 jan \| australian open \| melbourne (aus) \| grand slam \| hard \| w \| 2000 \| 430 \| quarter-finals lost to agnies row 3 : 10 february 2014- 16 february \| qatar total open \| doha (qat) \| wta premier 5 \| hard \| w \| 900 \| 0 \| withdrew due to left foot injury row 4 : 3 march 2014- 16 march 2014 \| indian wells \| indian wells (usa) \| wta premier mandatory \| hard \| qf \| 250 \| 45 \| second round lost to lauren davis row 5 : 17 march 2013- 30 march 2014 \| sony open tennis \| miami (usa) \| wta premier mandatory \| hard \| dnp \| 0 \| 0 \| withdrew due to left foot injury row 6 : 5 may 2014- 11 may 2014 \| mutua madrid masters \| madrid (esp) \| wta premier mandatory \| clay \| 2r \| 60 \| None \| pending row 7 : 12 may 2014- 18 may 2014 \| internazionali bnl \| rome (ita) \| wta premier 5 \| clay \| f \| 700 \| None \| pending row 8 : 25 may 2014- 8 june 2014 \| french open \| paris (fra) \| grand slam \| clay \| sf \| 900 \| None \| pending row 9 : 23 june 2014- 6 july \| wimbledon \| london (gbr) \| grand slam \| grass \| 2r \| 100 \| None \| pending row 10 : 4 august 2014- 10 august 2014 \| rogers cup \| toronto (can) \| wta premier 5 \| hard \| dnp \| 0 \| None \| pending row 11 : 11 august 2014- 17 august 2014 \| western and southern open \| cincinnati (usa) \| wta premier 5 \| hard \| w \| 900 \| None \| pending row 12 : 25 august 2014- 8 september 2014 \| us open \| new york (usa) \| grand slam \| hard \| f \| 1400 \| None \| pending row 13 : 22 september 2014- 27 september 2014 \| toray pan pacific open \| wuhan (chn) \| wta premier 5 \| hard \| 2r \| 60 \| None \| pending row 14 : 27 september 2014- 5 octo \| china open \| beijing (chn) \| wta premier mandatory \| hard \| 1r \| 5 \| None \| pending row 15 : 20 october 2013- 26 \| wta tour championships \| singapore (sin) \| wta tour championships \| hard (i) \| rr \| 400 \| None \| pending ] Execute this SQL based on the above table: select count ( date ) where prev. points >= 1180	2
[ header: district \| name \| party \| residence \| first served row 1 : district 1 \| nelson albano \| dem \| vineland \| 2006 row 2 : district 1 \| robert andrzejcza \| dem \| middle twp \| 2013 row 3 : district 2 \| john f. amodeo \| rep \| margate \| 2008 row 4 : district 4 \| paul moriarty \| dem \| washington twp \| 2006 row 5 : district 4 \| gabriela mosquera \| dem \| blackwood \| 2012 row 6 : district 5 \| angel fuentes \| dem \| camden \| 2010 row 7 : district 7 \| troy singleton \| dem \| palmyra \| 2011 row 8 : district 8 \| scott rudder \| rep \| medford \| 2008 row 9 : district 9 \| dianne gove \| rep \| long beach twp \| 2009 row 10 : district 9 \| brian e. rumpf \| rep \| little egg harbor \| 2003 row 11 : district 10 \| david w. wolfe \| rep \| brick \| 1992 row 12 : district 11 \| caroline casagrande \| rep \| colts neck \| 2008 row 13 : district 13 \| amy handlin \| rep \| lincroft \| 2006 row 14 : district 14 \| wayne deangelo \| dem \| hamilton twp \| 2008 row 15 : district 16 \| donna simon \| rep \| whitehouse station \| 2012 row 16 : district 17 \| upendra j. chivukul \| dem \| somerset \| 2002 row 17 : district 18 \| patrick j. diegnan \| dem \| south plainfield \| 2002 row 18 : district 20 \| joseph cryan \| dem \| union twp \| 2002 row 19 : district 21 \| nancy munoz \| rep \| summit \| 2009 row 20 : district 22 \| jerry green \| dem \| plainfield \| 1992 row 21 : district 22 \| linda stender \| dem \| scotch plains \| 2002 row 22 : district 23 \| john dimaio \| rep \| hackettstown \| 2009 row 23 : district 23 \| erik peterson \| rep \| franklin twp \| 2009 row 24 : district 24 \| alison littell mchose \| rep \| franklin \| 2003 row 25 : district 25 \| tony bucco \| rep \| boonton twp \| 2010 row 26 : district 25 \| michael patrick carroll \| rep \| morris twp \| 1996 row 27 : district 26 \| jay webber \| rep \| morris plains \| 2008 row 28 : district 27 \| john f. mckeon \| dem \| west orange \| 2002 row 29 : district 28 \| cleopatra tucker \| dem \| newark \| 2008 row 30 : district 30 \| sean t. kean \| rep \| wall twp \| 2012 row 31 : district 30 \| dave rible \| rep \| wall \| 2008 row 32 : district 31 \| jason o'donnell \| dem \| bayonne \| 2010 row 33 : district 32 \| angelica m. jimenez \| dem \| west new york \| 2012 row 34 : district 32 \| vincent prieto \| dem \| secaucus \| 2004 row 35 : district 33 \| ruben j. ramos \| dem \| hoboken \| 2008 row 36 : district 34 \| thomas p. giblin \| dem \| montclair \| 2006 row 37 : district 36 \| gary schaer \| dem \| passaic \| 2006 row 38 : district 39 \| bob schroeder \| rep \| washington twp \| 2010 row 39 : district 40 \| scott rumana \| rep \| wayne \| 2008 ] Execute this SQL based on the above table: select first served where district = 'district 8'	2008
[ header: round \| circuit \| date \| pole position \| winning driver \| winning team \| trophy winner row 1 : 1 \| aci vallelunga circuit, camp \| 7 april \| milos pavlovic \| milos pavlovic \| target racing \| nino fama row 2 : 2 \| misano world circuit \| 28 april \| milos pavlovic \| milos pavlovic \| target racing \| giovanni faraonio row 3 : 3 \| autodromo di pergusa, \| 19 may \| milos pavlovic \| philip cloostermans \| azeta racing \| carmine tancredi row 4 : 4 \| autodromo nazionale monza \| 30 june \| philip cloostermans \| philip cloostermans \| azeta racing \| carmine tancredi row 5 : 5 \| autodromo riccardo paletti \| 21 july \| milos pavlovic \| milos pavlovic \| target racing \| carmine tancredi row 6 : 6 \| autodromo enzo e din \| 1 september \| vitantonio liuzzi \| vitantonio liuzzi \| bertram schafer racing \| silvio alberti row 7 : 7 \| autodromo del levante, \| 8 september \| christiano citron \| milos pavlovic \| target racing \| carmine tancredi row 8 : 8 \| mugello circuit, scarperia \| 6 october \| milos pavlovic \| milos pavlovic \| target racing \| dino lusuardi row 9 : 9 \| autodromo dell'umbria \| 20 october \| andreas zuber \| christiano citron \| target racing \| alberto morelli ] Execute this SQL based on the above table: select winning driver order by round desc limit 1	christiano citron
[ header: # \| date \| visitor \| score \| home \| record \| pts row 1 : 2 \| november 4 \| montreal canadiens \| 5-3 \| chicago black hawks \| 0-2-0 \| 0 row 2 : 4 \| november 7 \| chicago black hawks \| 1-5 \| montreal canadiens \| 1-3-0 \| 2 row 3 : 5 \| november 11 \| boston bruins \| 4-6 \| chicago black hawks \| 2-3-0 \| 4 row 4 : 6 \| november 13 \| chicago black hawks \| 4-1 \| toronto maple leafs \| 3-3-0 \| 6 row 5 : 9 \| november 21 \| chicago black hawks \| 2-5 \| detroit red wings \| 5-4-0 \| 10 row 6 : 10 \| november 25 \| detroit red wings \| 3-4 \| chicago black hawks \| 6-4-0 \| 12 row 7 : 12 \| november 30 \| chicago black hawks \| 5-6 \| boston bruins \| 7-5-0 \| 14 row 8 : 13 \| december 2 \| chicago black hawks \| 2-6 \| montreal canadiens \| 7-6-0 \| 14 row 9 : 14 \| december 5 \| new york rangers \| 6-7 \| chicago black hawks \| 8-6-0 \| 16 row 10 : 17 \| december 18 \| chicago black hawks \| 4-8 \| toronto maple leafs \| 9-8-0 \| 18 row 11 : 23 \| january 4 \| chicago black hawks \| 4-6 \| boston bruins \| 10-13-0 \| 20 row 12 : 24 \| january 6 \| chicago black hawks \| 1-6 \| toronto maple leafs \| 10-14-0 \| 20 row 13 : 25 \| january 9 \| chicago black hawks \| 2-4 \| detroit red wings \| 10-15-0 \| 20 row 14 : 27 \| january 16 \| montreal canadiens \| 1-1 \| chicago black hawks \| 11-15-1 \| 23 row 15 : 29 \| january 23 \| toronto maple leafs \| 3-5 \| chicago black hawks \| 12-16-1 \| 25 row 16 : 32 \| january 30 \| detroit red wings \| 2-3 \| chicago black hawks \| 15-16-1 \| 31 row 17 : 34 \| february 5 \| chicago black hawks \| 1-5 \| montreal canadiens \| 16-17-1 \| 33 row 18 : 35 \| february 6 \| chicago black hawks \| 4-4 \| new york rangers \| 16-17-2 \| 34 row 19 : 43 \| march 4 \| chicago black hawks \| 2-6 \| detroit red wings \| 20-19-4 \| 44 row 20 : 44 \| march 5 \| detroit red wings \| 1-6 \| chicago black hawks \| 21-19-4 \| 46 row 21 : 47 \| march 14 \| chicago black hawks \| 4-6 \| boston bruins \| 21-21-5 \| 47 row 22 : 48 \| march 16 \| chicago black hawks \| 2-3 \| montreal canadiens \| 21-22-5 \| 47 row 23 : 49 \| march 18 \| chicago black hawks \| 3-6 \| detroit red wings \| 21-23-5 \| 47 ] Execute this SQL based on the above table: select home order by # asc limit 1	chicago black hawks
[ header: year \| competition \| venue \| position \| notes row 1 : 1996 \| olympic games \| atlanta, united states \| 36th (q) \| 5.55 m row 2 : 1998 \| asian games \| bangkok, thailand \| 8th \| 6.07 m row 3 : 1999 \| world championships \| seville, spain \| 23rd (q) \| 6.40 m row 4 : 2000 \| olympic games \| sydney, australia \| 14th (q) \| 6.57 m row 5 : 2001 \| world championships \| edmonton, canada \| 13th (q) \| 6.46 m row 6 : 2002 \| asian championships \| colombo, sri lan \| 1st \| 6.61 m row 7 : 2002 \| asian games \| busan, south korea \| 3rd \| 6.30 m row 8 : 2003 \| world championships \| paris, france \| 23rd (q) \| 6.13 m row 9 : 2003 \| asian championships \| manila, philippines \| 6th \| 6.23 m row 10 : 2004 \| olympic games \| athens, greece \| 11th \| 6.53 m ] Execute this SQL based on the above table: select year where competition != 'olympic games'	1998, 1999, 2001, 2002, 2002, 2003, 2003
[ header: # \| club \| winner \| last win \| runner-up \| last losing final row 1 : 1 \| esteghlal (taj) \| 6 \| 2012 \| 3 \| 2004 row 2 : 2 \| persepolis \| 5 \| 2011 \| 2 \| 2013 row 3 : 3 \| sepahan \| 4 \| 2013 \| 0 \| None row 4 : 4 \| malavan \| 3 \| 1990 \| 4 \| 2011 row 5 : 5 \| zob ahan \| 2 \| 2009 \| 1 \| 2001 row 6 : 6 \| bahman \| 1 \| 1995 \| 2 \| 2000 row 7 : 6 \| fajr sepasi \| 1 \| 2001 \| 2 \| 2003 row 8 : 6 \| tractor sazi \| 1 \| 2014 \| 2 \| 1995 row 9 : 8 \| bargh shiraz \| 1 \| 1997 \| 1 \| 1996 row 10 : 8 \| saba qom (saba \| 1 \| 2005 \| 1 \| 2007 row 11 : 10 \| saipa \| 1 \| 1994 \| 0 \| None row 12 : 10 \| shahin ahvaz \| 1 \| 1988 \| 0 \| None row 13 : 13 \| homa \| 0 \| None \| 1 \| 1977 row 14 : 13 \| kheibar khorramabad \| 0 \| None \| 1 \| 1986 row 15 : 13 \| jonoob ahvaz \| 0 \| None \| 1 \| 1994 row 16 : 13 \| aboomoslem \| 0 \| None \| 1 \| 2005 row 17 : 13 \| damash (pegah) \| 0 \| None \| 1 \| 2008 row 18 : 13 \| rah ahan \| 0 \| None \| 1 \| 2009 row 19 : 13 \| gostaresh foolad \| 0 \| None \| 1 \| 2010 row 20 : 13 \| shahin bushehr \| 0 \| None \| 1 \| 2012 row 21 : 13 \| mes kerman \| 0 \| None \| 1 \| 2014 ] Execute this SQL based on the above table: select count ( club ) where # >= 1818	0
[ header: term (french) \| description \| temperature range \| temperature range \| usda recommended row 1 : extra-rare or blue (bleu) \| very red and cold \| 46-49 °c \| 115-120 °f \| None row 2 : rare (saignant) \| cold red center; soft \| 52-55 °c \| 125-130 °f \| None row 3 : medium rare (a point) \| warm red center; firmer \| 55-60 °c \| 130-140 °f \| 145 °f row 4 : medium (demi-anglais) \| pink and firm \| 60-65 °c \| 140-150 °f \| 160 °f row 5 : medium well (cuit) \| small amount of pink in the center \| 65-69 °c \| 150-155 °f \| None row 6 : well done (bien cuit) \| gray-brown throughout; firm \| 71-100 °c \| 160-212 °f \| 170 °f row 7 : over cooked (trop cuit, carbonise \| blacken throughout; hard \| > 100 °c \| > 212 °f \| 300 °f ] Execute this SQL based on the above table: select count ( temperature range )	7
[ header: year \| vote % \| place \| seats \| place \| cabinet row 1 : 1945 \| None \| None \| 25 \| 1st \| yes row 2 : 1948 \| None \| None \| 22 \| 1st \| yes row 3 : 1951 \| None \| None \| 21 \| 1st \| yes row 4 : 1954 \| 42.4 \| 1st \| 26 \| 1st \| yes row 5 : 1959 \| 36.9 \| 1st \| 21 \| 1st \| yes row 6 : 1964 \| 33.3 \| 2nd \| 22 \| 1st \| yes row 7 : 1968 \| 35.2 \| 1st \| 21 \| 1st \| yes row 8 : 1974 \| 27.6 \| 2nd \| 18 \| 1st \| no row 9 : 1979 \| 34.5 \| 1st \| 24 \| 1st \| yes row 10 : 1984 \| 34.9 \| 1st \| 25 \| 1st \| yes row 11 : 1989 \| 32.4 \| 1st \| 22 \| 1st \| yes row 12 : 1994 \| 30.3 \| 1st \| 21 \| 1st \| yes row 13 : 1999 \| 30.1 \| 1st \| 19 \| 1st \| yes row 14 : 2004 \| 36.1 \| 1st \| 24 \| 1st \| yes row 15 : 2009 \| 38 \| 1st \| 26 \| 1st \| yes row 16 : 2013 \| 33.6 \| 1st \| 23 \| 1st \| no ] Execute this SQL based on the above table: select place where cabinet = 'no'	1st, 1st
[ header: season \| level \| name \| position \| nationality \| international caps row 1 : 1973 \| 1 \| kevin beattie \| defender \| england \| 9 row 2 : 1974 \| 1 \| kevin beattie \| defender \| england \| 9 row 3 : 1975 \| 1 \| colin viljoen \| midfielder \| england \| 2 row 4 : 1976 \| 1 \| allan hunter \| defender \| northern ireland \| 53 row 5 : 1977 \| 1 \| george burley \| defender \| scotland \| 11 row 6 : 1978 \| 1 \| mick mills \| defender \| england \| 42 row 7 : 1979 \| 1 \| arnold muhren \| midfielder \| netherlands \| 23 row 8 : 1980 \| 1 \| frans thijssen \| midfielder \| netherlands \| 14 row 9 : 1981 \| 1 \| paul cooper \| goalkeeper \| england \| None row 10 : 1982 \| 1 \| alan brazil \| striker \| scotland \| 13 row 11 : 1983 \| 1 \| paul mariner \| striker \| england \| 35 row 12 : 1984 \| 1 \| trevor putney \| midfielder \| england \| None row 13 : 1985 \| 1 \| terry butcher \| defender \| england \| 77 row 14 : 1986 \| 1 \| terry butcher \| defender \| england \| 77 row 15 : 1987 \| 2 \| romeo zondervan \| midfielder \| netherlands \| 6 row 16 : 1988 \| 2 \| frank yallop \| defender \| canada \| 52 row 17 : 1989 \| 2 \| john wark \| midfielder \| scotland \| 29 row 18 : 1990 \| 2 \| john wark \| midfielder \| scotland \| 29 row 19 : 1991 \| 2 \| david linighan \| defender \| england \| None row 20 : 1992 \| 2 \| john wark \| midfielder \| scotland \| 29 row 21 : 1993 \| 1 \| mick stockwell \| midfielder \| england \| None row 22 : 1994 \| 1 \| john wark \| midfielder \| scotland \| 29 row 23 : 1995 \| 1 \| craig forrest \| goalkeeper \| canada \| 56 row 24 : 1996 \| 2 \| simon milton \| midfielder \| england \| None row 25 : 1997 \| 2 \| mauricio taricco \| defender \| argentina \| None row 26 : 1999 \| 2 \| jamie clapham \| defender \| england \| None row 27 : 2000 \| 2 \| james scowcroft \| striker \| england \| None row 28 : 2001 \| 1 \| marcus stewart \| striker \| england \| None row 29 : 2002 \| 1 \| mark venus \| defender \| england \| None row 30 : 2003 \| 2 \| matt holland \| midfielder \| ireland \| 49 row 31 : 2004 \| 2 \| ian westlake \| midfielder \| england \| None row 32 : 2005 \| 2 \| shefki kuqi \| striker \| finland \| 60 row 33 : 2006 \| 2 \| fabian wilnis \| defender \| netherlands \| None row 34 : 2007 \| 2 \| sylvain legwinski \| midfielder \| france \| None row 35 : 2008 \| 2 \| jonathan walters \| striker \| ireland \| 19 row 36 : 2009 \| 2 \| richard wright \| goalkeeper \| england \| 2 row 37 : 2010 \| 2 \| gareth mcauley \| defender \| northern ireland \| 21 row 38 : 2011 \| 2 \| jimmy bullard \| midfielder \| england \| None row 39 : 2012 \| 2 \| aaron cresswell \| defender \| england \| None row 40 : 2013 \| 2 \| tommy smith \| defender \| new zealand \| 22 ] Execute this SQL based on the above table: select position order by nationality + position desc limit 1	defender
[ header: year \| team \| co-drivers \| car \| class \| laps \| pos. \| class pos. row 1 : 2001 \| team den bla avis team goh \| john nielsen hiroki \| dome s101-judd \| lmp900 \| 66 \| dnf \| dnf row 2 : 2003 \| rn motorsport \| john nielsen hayanari \| dba4 03s-zytek \| lmp675 \| 288 \| 22nd \| 2nd row 3 : 2004 \| lister racing \| john nielsen jens \| lister storm lmp-chevrole \| lmp1 \| 279 \| 24th \| 9th row 4 : 2006 \| zytek engineering team essex invest \| john nielsen philip and \| zytek 06s \| lmp1 \| 269 \| nc \| nc row 5 : 2007 \| aston martin racing larbre \| christophe bouchut f \| aston martin dbr \| gt1 \| 341 \| 7th \| 3rd row 6 : 2008 \| team essex \| john nielsen sasch \| porsche rs spyder evo \| lmp2 \| 347 \| 12th \| 2nd row 7 : 2009 \| team essex \| kristian poulsen e \| porsche rs spyder evo \| lmp2 \| 357 \| 10th \| 1st row 8 : 2011 \| hope racing \| steve zacchia jan \| oreca 01-swiss \| lmp1 \| 115 \| dnf \| dnf ] Execute this SQL based on the above table: select pos. where id = ( select id where pos. = '24th' ) + 1	nc
[ header: year \| total \| romanians \| hungarians \| roma row 1 : 1850 \| 4,541 \| 69.3% \| 23.9% \| 6.5% row 2 : 1880 \| 4,636 \| 63.0% \| 30.2% \| None row 3 : 1890 \| 5,499 \| 62.7% \| 31.6% \| None row 4 : 1900 \| 5,553 \| 64.3% \| 29.7% \| None row 5 : 1910 \| 6,234 \| 64.6% \| 30.4% \| None row 6 : 1920 \| 5,887 \| 71.6% \| 27.9% \| None row 7 : 1930 \| 6,456 \| 70.5% \| 22.8% \| 2.6% row 8 : 1941 \| 6,981 \| 78.3% \| 19.4% \| None row 9 : 1956 \| 6,649 \| 74.7% \| 19.0% \| 6.0% row 10 : 1966 \| 6,991 \| 80.9% \| 17.3% \| 1.7% row 11 : 1977 \| 7,089 \| 78.1% \| 16.9% \| 4.9% row 12 : 1992 \| 5,723 \| 74.1% \| 14.2% \| 11.6% row 13 : 2002 \| 5,506 \| 74.4% \| 12.0% \| 13.6% row 14 : 2011 \| 4,574 \| 70.7% \| 11.2% \| 17.9% ] Execute this SQL based on the above table: select romanians where id = ( select id where romanians = '78.1%' ) - 1	80.9%
[ header: year \| host \| champion \| second place \| third place \| fourth place row 1 : 2005 \| ninh binh \| tianjin bridgestone \| chung shan \| korea highway corporation \| rahat cska row 2 : 2006 \| manila \| tianjin bridgestone \| chung shan \| sang som \| rahat cska row 3 : 2008 \| vinh phuc \| tianjin bridgestone \| sang som \| toray arrows \| sobaeksu row 4 : 2009 \| nakhon pathom \| federbrau \| tianjin bridgestone \| toray arrows \| zhetysu almaty row 5 : 2010 \| gresik \| federbrau \| zhetysu almaty \| jt marvelous \| tianjin bridgestone row 6 : 2011 \| vinh phuc \| chang \| tianjin bridgestone \| zhetysu almaty \| thong tin lien viet bank row 7 : 2012 \| nakhon ratchasima \| tianjin bridgestone \| toray arrows \| chang \| zhetysu almaty ] Execute this SQL based on the above table: select year where second place = 'chung shan'	2005, 2006
[ 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 competition = 'friendly'	1, 3, 4, 5, 6, 7
[ header: county \| obama \| votes \| romney \| votes \| others \| votes \| total row 1 : bernalillo \| 55.55% \| 147,183 \| 39.35% \| 104,242 \| 5.10% \| 13,517 \| 264,942 row 2 : catron \| 26.38% \| 560 \| 70.37% \| 1,494 \| 3.25% \| 69 \| 2,123 row 3 : chaves \| 32.28% \| 6,641 \| 64.77% \| 13,327 \| 2.95% \| 607 \| 20,575 row 4 : cibola \| 60.18% \| 4,907 \| 36.37% \| 2,966 \| 3.45% \| 281 \| 8,154 row 5 : colfax \| 49.05% \| 2,828 \| 46.83% \| 2,700 \| 4.11% \| 237 \| 5,765 row 6 : dona ana \| 55.97% \| 36,778 \| 41.07% \| 26,988 \| 2.96% \| 1,946 \| 65,712 row 7 : eddy \| 31.83% \| 6,110 \| 65.36% \| 12,546 \| 2.81% \| 539 \| 19,195 row 8 : grant \| 55.00% \| 7,009 \| 41.48% \| 5,286 \| 3.52% \| 449 \| 12,744 row 9 : guadalupe \| 69.68% \| 1,478 \| 26.12% \| 554 \| 4.20% \| 89 \| 2,121 row 10 : lea \| 23.98% \| 4,080 \| 73.75% \| 12,548 \| 2.27% \| 387 \| 17,015 row 11 : los alamos \| 48.72% \| 5,191 \| 45.02% \| 4,796 \| 6.26% \| 667 \| 10,654 row 12 : luna \| 47.77% \| 3,583 \| 48.93% \| 3,670 \| 3.29% \| 247 \| 7,500 row 13 : mckinley \| 72.08% \| 15,363 \| 25.43% \| 5,420 \| 2.49% \| 530 \| 21,313 row 14 : mora \| 74.85% \| 1,952 \| 22.81% \| 595 \| 2.34% \| 61 \| 2,608 row 15 : otero \| 34.15% \| 6,811 \| 62.23% \| 12,412 \| 3.62% \| 723 \| 19,946 row 16 : quay \| 37.32% \| 1,384 \| 59.39% \| 2,202 \| 3.29% \| 122 \| 3,708 row 17 : roosevelt \| 28.92% \| 1,730 \| 67.73% \| 4,052 \| 3.36% \| 201 \| 5,983 row 18 : san juan \| 34.11% \| 15,688 \| 62.57% \| 28,779 \| 3.32% \| 1,527 \| 45,994 row 19 : san miguel \| 76.86% \| 8,751 \| 20.04% \| 2,281 \| 3.10% \| 353 \| 11,385 row 20 : sandoval \| 50.29% \| 26,976 \| 45.17% \| 24,228 \| 4.53% \| 2,432 \| 53,636 row 21 : santa fe \| 73.37% \| 50,097 \| 22.48% \| 15,351 \| 4.15% \| 2,832 \| 68,280 row 22 : sierra \| 38.49% \| 1,964 \| 57.39% \| 2,928 \| 4.12% \| 210 \| 5,102 row 23 : socorro \| 56.37% \| 4,047 \| 37.89% \| 2,720 \| 5.74% \| 412 \| 7,179 row 24 : taos \| 78.06% \| 11,855 \| 17.84% \| 2,710 \| 4.10% \| 623 \| 15,188 row 25 : torrance \| 37.86% \| 2,414 \| 55.22% \| 3,521 \| 6.92% \| 441 \| 6,376 row 26 : union \| 26.83% \| 472 \| 70.27% \| 1,236 \| 2.90% \| 51 \| 1,759 row 27 : valencia \| 48.73% \| 13,473 \| 46.25% \| 12,788 \| 5.01% \| 1,386 \| 27,647 ] Execute this SQL based on the above table: select romney where votes = 89 order by others desc limit 1	26.12%
[ header: season \| series \| team \| races \| wins \| poles \| fast laps \| points \| pos. row 1 : 2001 \| formula one \| prost \| None \| None \| None \| None \| None \| test driver row 2 : 2001 \| formula 3000 international \| gd racing \| 4 \| 0 \| 0 \| 0 \| 0 \| nc row 3 : 2001 \| world series by nissan \| gd racing \| 6 \| 0 \| 0 \| 1 \| 51 \| 9th row 4 : 2002 \| world series by nissan \| gd racing \| 6 \| 0 \| 0 \| 0 \| 30 \| 13th row 5 : 2003 \| world series by nissan \| gd racing \| 2 \| 0 \| 0 \| 0 \| 0 \| nc row 6 : 2006 \| formula one \| renault \| None \| None \| None \| None \| None \| test driver row 7 : 2007-08 \| a1 grand prix \| a1 team france \| 2 \| 0 \| 0 \| 0 \| 0 \| 4th ] Execute this SQL based on the above table: select races where team = 'gd racing'	4.0, 6.0, 6.0, 2.0
[ header: country \| total gdp (nominal) (billion us$) \| gdp per capita (us$, ppp) \| gdp growth, 2007-2011 (in %) \| hdi row 1 : algeria \| 188.7 \| 8715 \| 2.7 \| 0.733 row 2 : angola \| 101 \| 5930 \| 9.1 \| 0.446 row 3 : benin \| 7.3 \| 1628 \| 3.9 \| 0.437 row 4 : botswana \| 17.6 \| 14753 \| 3 \| 0.654 row 5 : burkina faso \| 10.2 \| 1310 \| 4.9 \| 0.37 row 6 : cameroon \| 25.5 \| 2383 \| 3.1 \| 0.532 row 7 : chad \| 9.5 \| 1531 \| 2.9 \| 0.388 row 8 : comoros \| 0.6 \| 1117 \| 1.5 \| 0.561 row 9 : democratic republic of the congo \| 15.6 \| 375 \| 5.9 \| 0.411 row 10 : congo \| 14.7 \| 4429 \| 4.9 \| 0.548 row 11 : ivory coast \| 24.1 \| 1803 \| 1.1 \| 0.432 row 12 : egypt \| 229.5 \| 6324 \| 5.2 \| 0.708 row 13 : equatorial guinea \| 19.8 \| 36515 \| 8.8 \| 0.642 row 14 : eritrea \| 2.6 \| 589 \| 1.3 \| 0.483 row 15 : ethiopia \| 31.7 \| 1116 \| 9.7 \| 0.406 row 16 : gabon \| 17.1 \| 15960 \| 3.6 \| 0.677 row 17 : ghana \| 39.2 \| 1884 \| 8.3 \| 0.553 row 18 : guinea \| 5.1 \| 1128 \| 2.4 \| 0.456 row 19 : guinea-bissau \| 1 \| 1251 \| 3.6 \| 0.374 row 20 : kenya \| 33.6 \| 1718 \| 4.2 \| 0.521 row 21 : lesotho \| 2.4 \| 1715 \| 4.9 \| 0.549 row 22 : liberia \| 1.2 \| 577 \| 11.6 \| None row 23 : libya \| 62.4 (2009) \| 16,855 (2009) \| 4 \| 0.769 row 24 : malawi \| 5.7 \| 918 \| 6.8 \| 0.437 row 25 : mali \| 10.6 \| 1099 \| 4.5 \| 0.38 row 26 : mauritania \| 4.1 \| 2571 \| 2.8 \| 0.55 row 27 : mauritius \| 11.3 \| 14523 \| 4.5 \| 0.804 row 28 : morocco \| 100.2 \| 4986 \| 4.3 \| 0.646 row 29 : mozambique \| 12.8 \| 982 \| 6.9 \| 0.384 row 30 : namibia \| 12.3 \| 6826 \| 3.7 \| 0.65 row 31 : niger \| 6 \| 732 \| 4.3 \| 0.374 row 32 : nigeria \| 235.9 \| 2532 \| 6.8 \| 0.67 row 33 : reunion (france) \| 15.98 \| 8,233 (nominal) \| None \| 0.850 (2003) row 34 : rwanda \| 6.4 \| 1251 \| 7.3 \| 0.452 row 35 : sao tome and principe \| 0.2 \| 2058 \| 5.7 \| 0.654 row 36 : senegal \| 14.3 \| 1981 \| 3.5 \| 0.499 row 37 : seychelles \| 1 \| 26420 \| 4.2 \| 0.843 row 38 : sierra leone \| 2.2 \| 877 \| 5.2 \| 0.336 row 39 : somalia \| (n/a) \| None \| None \| None row 40 : south africa \| 408.2 \| 11035 \| 2.7 \| 0.674 row 41 : south sudan \| None \| None \| None \| None row 42 : sudan \| 55.1 \| 2141 \| 4.1 \| 0.526 row 43 : swaziland \| 4 \| 6099 \| 2.1 \| 0.547 row 44 : tanzania \| 23.7 \| 1521 \| 6.8 \| 0.467 ] Execute this SQL based on the above table: select gdp per capita (us$, ppp) where country = 'sao tome and principe'	2058
[ header: year \| team \| co-drivers \| car \| class \| laps \| pos. \| class pos. row 1 : 2001 \| team den bla avis team goh \| john nielsen hiroki \| dome s101-judd \| lmp900 \| 66 \| dnf \| dnf row 2 : 2003 \| rn motorsport \| john nielsen hayanari \| dba4 03s-zytek \| lmp675 \| 288 \| 22nd \| 2nd row 3 : 2004 \| lister racing \| john nielsen jens \| lister storm lmp-chevrole \| lmp1 \| 279 \| 24th \| 9th row 4 : 2006 \| zytek engineering team essex invest \| john nielsen philip and \| zytek 06s \| lmp1 \| 269 \| nc \| nc row 5 : 2007 \| aston martin racing larbre \| christophe bouchut f \| aston martin dbr \| gt1 \| 341 \| 7th \| 3rd row 6 : 2008 \| team essex \| john nielsen sasch \| porsche rs spyder evo \| lmp2 \| 347 \| 12th \| 2nd row 7 : 2009 \| team essex \| kristian poulsen e \| porsche rs spyder evo \| lmp2 \| 357 \| 10th \| 1st row 8 : 2011 \| hope racing \| steve zacchia jan \| oreca 01-swiss \| lmp1 \| 115 \| dnf \| dnf ] Execute this SQL based on the above table: select car where id = 1	dome s101-judd
[ header: week \| date \| opponent \| result \| attendance row 1 : 1 \| september 15, 1974 \| new york jets \| w 24-16 \| 74,854 row 2 : 2 \| september 22, 1974 \| at oakland raiders \| l 27-7 \| 48,108 row 3 : 3 \| september 29, 1974 \| at houston oilers \| w 17-7 \| 28,538 row 4 : 4 \| october 6, 1974 \| denver broncos \| l 17-14 \| 67,298 row 5 : 5 \| october 13, 1974 \| pittsburgh steelers \| l 34-24 \| 65,517 row 6 : 6 \| october 20, 1974 \| at miami dolphins \| l 9-3 \| 67,779 row 7 : 7 \| october 27, 1974 \| at san diego chargers \| w 24-14 \| 34,371 row 8 : 8 \| november 3, 1974 \| new york giants \| l 33-27 \| 61,437 row 9 : 9 \| november 10, 1974 \| san diego chargers \| l 14-7 \| 48,551 row 10 : 10 \| november 18, 1974 \| at denver broncos \| w 42-34 \| 50,236 row 11 : 11 \| november 24, 1974 \| at cincinnati bengals \| l 33-6 \| 49,777 row 12 : 12 \| december 1, 1974 \| at st. louis cardinals \| w 17-13 \| 41,863 row 13 : 13 \| december 8, 1974 \| oakland raiders \| l 7-6 \| 60,577 row 14 : 14 \| december 14, 1974 \| minnesota vikings \| l 35-15 \| 35,480 ] Execute this SQL based on the above table: select result order by result desc limit 1	w 42-34
[ 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 role where english title = 'to asuka and to the unseen child'	sawamura kazuya
[ header: year \| album details \| peak chart positions us billboard 200 \| peak chart positions us christian \| peak chart positions us heatseekers row 1 : 2001 \| the moon is down released: march 27, 2001 label \| None \| None \| None row 2 : 2003 \| how to start a fire released: febru \| 133 \| 6 \| 1 row 3 : 2004 \| hide nothing released: august 24, 2004 label: tooth \| 122 \| 4 \| 3 row 4 : 2012 \| penny black released: october 23, \| 62 \| 3 \| None ] Execute this SQL based on the above table: select album details where peak chart positions us christian = 3	penny black released: october 23, 2012 label: rise format: cd
[ header: rank \| cyclist \| team \| laps down \| notes row 1 : 1 \| iryna shpylova \| ukraine \| None \| q row 2 : 2 \| jessie daams \| belgium \| None \| q row 3 : 3 \| eunmi park \| south korea \| -1 \| q row 4 : 4 \| evgeniya romanyu \| russia \| -1 \| q row 5 : 5 \| andrea wolfer \| switzerland \| -1 \| q row 6 : 6 \| giorgia bronzini \| italy \| -1 \| q row 7 : 7 \| leire olaberria dorrons \| spain \| -1 \| q row 8 : 8 \| joanne kiesanowski \| new zealand \| -1 \| q row 9 : 9 \| dulce pliego \| mexico \| -1 \| q row 10 : 10 \| jessie maclean \| verducci breakaway racing \| -1 \| q row 11 : 11 \| lisa brennauer \| germany \| -1 \| q row 12 : 12 \| ashlee ankudinoff \| australia \| -1 \| q row 13 : 13 \| wan yiu jamie wong \| hong kong \| -1 \| None row 14 : 14 \| lauren franges \| united states \| -1 \| None row 15 : 15 \| skye lee armstrong \| rodin \| -1 \| None row 16 : 16 \| rosy mccall \| gis \| -1 \| None row 17 : 17 \| fatehah mustapa \| malaysia \| -1 \| None row 18 : 18 \| yekatsiryna bar \| belarus \| -1 \| None ] Execute this SQL based on the above table: select notes where id = ( select id where notes = 'q' ) + 1	q
[ 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 name(s) order by id desc limit 1	united states lightship lv-72
[ header: no. in series \| no. in season \| title \| directed by \| written by \| original air date \| production code \| u.s. viewers (millions) row 1 : 1 \| 1 \| "pilot" \| jace alexander \| matt nix \| june 28, 2007 \| bn100 \| 4 row 2 : 2 \| 2 \| "identity" \| rod hardy \| matt nix \| july 5, 2007 \| bn101 \| 4 row 3 : 3 \| 3 \| "fight or flight" \| colin bucksey \| craig o'neill \| july 12, 2007 \| bn103 \| None row 4 : 4 \| 4 \| "old friends" \| david solomon \| alfredo barrios, jr \| july 19, 2007 \| bn102 \| None row 5 : 5 \| 5 \| "family business" \| sandy bookstaver \| matt nix \| july 26, 2007 \| bn104 \| None row 6 : 6 \| 6 \| "unpaid debts" \| paul holahan \| nick thiel \| august 2, 2007 \| bn105 \| 4.41 row 7 : 7 \| 7 \| "broken rules" \| tim matheson \| mere smith \| august 9, 2007 \| bn106 \| None row 8 : 8 \| 8 \| "wanted man" \| ken girotti \| craig o'neill \| august 16, 2007 \| bn107 \| None row 9 : 9 \| 9 \| "hard bargain" \| john kretchmer \| alfredo barrios, jr \| august 23, 2007 \| bn108 \| 4.08 row 10 : 10 \| 10 \| "false flag" \| paul shapiro \| matt nix & ben wa \| september 13, 2007 \| bn109 \| 4 row 11 : 11 \| 11 \| "dead drop" \| jeremiah chechik \| craig o'neill \| september 20, 2007 \| bn110 \| 4.8 row 12 : 12 \| 12 \| "loose ends" \| stephen surjik \| matt nix & alfred \| september 20, 2007 \| bn111 \| 4.8 ] Execute this SQL based on the above table: select written by where u.s. viewers (millions) - no. in series = 2	matt nix
[ header: round \| circuit \| date \| pole position \| winning driver \| winning team \| trophy winner row 1 : 1 \| aci vallelunga circuit, camp \| 7 april \| milos pavlovic \| milos pavlovic \| target racing \| nino fama row 2 : 2 \| misano world circuit \| 28 april \| milos pavlovic \| milos pavlovic \| target racing \| giovanni faraonio row 3 : 3 \| autodromo di pergusa, \| 19 may \| milos pavlovic \| philip cloostermans \| azeta racing \| carmine tancredi row 4 : 4 \| autodromo nazionale monza \| 30 june \| philip cloostermans \| philip cloostermans \| azeta racing \| carmine tancredi row 5 : 5 \| autodromo riccardo paletti \| 21 july \| milos pavlovic \| milos pavlovic \| target racing \| carmine tancredi row 6 : 6 \| autodromo enzo e din \| 1 september \| vitantonio liuzzi \| vitantonio liuzzi \| bertram schafer racing \| silvio alberti row 7 : 7 \| autodromo del levante, \| 8 september \| christiano citron \| milos pavlovic \| target racing \| carmine tancredi row 8 : 8 \| mugello circuit, scarperia \| 6 october \| milos pavlovic \| milos pavlovic \| target racing \| dino lusuardi row 9 : 9 \| autodromo dell'umbria \| 20 october \| andreas zuber \| christiano citron \| target racing \| alberto morelli ] Execute this SQL based on the above table: select count ( * ) where round >= 480	0
[ header: stage \| date \| route \| terrain \| length \| winner row 1 : p \| 1 july \| saint-brieuc \| individual time trial \| 7.3 km (4.5 mi) \| jacky durand (fra) row 2 : 1 \| 2 july \| dinan - lannion \| plain stage \| 233.5 km (145.1 mi) \| fabio baldato (it row 3 : 2 \| 3 july \| perros-guirec - vitre \| plain stage \| 235.5 km (146.3 mi) \| mario cipollini (ita row 4 : 3 \| 4 july \| mayenne - alencon \| team time trial \| 67.0 km (41.6 mi) \| gewiss-ballan (ita row 5 : 4 \| 5 july \| alencon - le havre \| plain stage \| 162.0 km (100.7 mi) \| mario cipollini (ita row 6 : 5 \| 6 july \| fecamp - dunkerque \| plain stage \| 261.0 km (162.2 mi) \| jeroen blijlevens row 7 : 6 \| 7 july \| dunkerque - charlero \| plain stage \| 202.0 km (125.5 mi) \| erik zabel (ger) row 8 : 7 \| 8 july \| charleroi - liege \| hilly stage \| 203.0 km (126.1 mi) \| johan bruyneel row 9 : 8 \| 9 july \| huy - seraing \| individual time trial \| 54.0 km (33.6 mi) \| miguel indurain (es row 10 : 9 \| 11 july \| le grand-bornand - la plagne \| stage with mountain(s) \| 160.0 km (99.4 mi) \| alex zulle (sui) row 11 : 10 \| 12 july \| la plagne - l'alpe \| stage with mountain(s) \| 162.5 km (101.0 mi) \| marco pantani (ita) row 12 : 11 \| 13 july \| le bourg-d'oisans \| hilly stage \| 199.0 km (123.7 mi) \| maximilian sciandri (gb row 13 : 12 \| 14 july \| saint-etienne - mende \| hilly stage \| 222.5 km (138.3 mi) \| laurent jalabert (fra row 14 : 13 \| 15 july \| mende - revel \| plain stage \| 245.0 km (152.2 mi) \| serhiy utchakov ( row 15 : 14 \| 16 july \| saint-orens-de-gameville \| stage with mountain(s) \| 164.0 km (101.9 mi) \| marco pantani (ita) row 16 : 15 \| 18 july \| saint-girons - cautere \| stage with mountain(s) \| 206.0 km (128.0 mi) \| richard virenque (fra row 17 : 16 \| 19 july \| tarbes - pau \| stage with mountain(s) \| 149.0 km (92.6 mi) \| cancelled row 18 : 17 \| 20 july \| pau - bordeaux \| plain stage \| 246.0 km (152.9 mi) \| erik zabel (ger) row 19 : 18 \| 21 july \| montpon-menesterol - lim \| plain stage \| 166.5 km (103.5 mi) \| lance armstrong (usa) row 20 : 19 \| 22 july \| lac de vassiviere - lac \| individual time trial \| 46.5 km (28.9 mi) \| miguel indurain (es ] Execute this SQL based on the above table: select route where stage = 2 - 1	dinan - lannion
[ header: margin \| teams \| venue \| season row 1 : 192 runs \| kent (205 & 512-9 \| county ground, chelmsford \| 2009 row 2 : 72 runs \| kent (117 & 332) beat \| woodbridge road, guildford \| 1992 row 3 : 57 runs \| kent (151 & 348) beat \| hesketh park, dartford \| 1976 row 4 : 36 runs \| kent (127 & 198) \| st lawrence ground, canter \| 1893 row 5 : 24 runs \| kent (115 & 389) beat \| mote park, maidstone \| 1925 row 6 : 16 runs \| kent (120 & 176) beat \| mote park, maidstone \| 1863 ] Execute this SQL based on the above table: select max ( venue )	woodbridge road, guildford
[ header: round \| pick \| player \| pos. \| nationality \| team \| aba team \| signing price row 1 : 1 \| 1 \| artis gilmore^ \| c \| united states \| chicago bulls \| kentucky colonels \| $ 1,100,000 row 2 : 1 \| 2 \| maurice lucas \| f/c \| united states \| portland trail blazers (from \| kentucky colonels \| $ 300,000 row 3 : 1 \| 3 \| ron boone \| g/f \| united states \| kansas city kings \| spirits of st. louis \| $ 250,000 row 4 : 1 \| 4 \| marvin barnes \| f/c \| united states \| detroit pistons \| spirits of st. louis \| $ 500,000 row 5 : 1 \| 5 \| moses malone^ \| f/c \| united states \| portland trail blazers \| spirits of st. louis \| $ 350,000 row 6 : 1 \| 6 \| randy denton \| c \| united states \| new york knicks \| spirits of st. louis \| $ 50,000 row 7 : 1 \| 7 \| bird averitt \| g \| united states \| buffalo braves (from milwaukee \| kentucky colonels \| $ 125,000 row 8 : 1 \| 8 \| wil jones \| f \| united states \| indiana pacers \| kentucky colonels \| $ 50,000 row 9 : 1 \| 9 \| ron thomas \| g/f \| united states \| houston rockets \| kentucky colonels \| $ 15,000 row 10 : 1 \| 10 \| louie dampier \| g \| united states \| san antonio spurs \| kentucky colonels \| $ 20,000 row 11 : 1 \| 11 \| jan van breda kolf \| g/f \| united states \| new york nets \| kentucky colonels \| $ 60,000 row 12 : 2 \| 12 \| mike barr \| g \| united states \| kansas city kings \| spirits of st. louis \| $ 15,000 ] Execute this SQL based on the above table: select count ( signing price ) where round >= 1494	0
[ header: \| year \| city \| country \| date \| venue \| no. of events \| no. of athletes row 1 : 1st \| 2000 \| monterrey \| mexico \| august 3-5 \| universidad autonoma de nuevo \| 45 \| 184 row 2 : 2nd \| 2002 \| san antonio \| united states \| august 9-11 \| e.m. stevens stadium \| 45 \| 245 row 3 : 3rd \| 2004 \| sherbrooke \| canada \| july 30 - august 1 \| universite de sherbrooke stadium \| 42 \| 243 row 4 : 4th \| 2006 \| santo domingo \| dominican republic \| july 7-9 \| estadio felix san \| 44 \| 373 row 5 : 5th \| 2008 \| toluca \| mexico \| july 18-20 \| estadio universitario alber \| 44 \| None row 6 : 6th \| 2010 \| miramar \| united states \| july 9-11 \| ansin sports complex \| 44 \| None row 7 : 7th \| 2012 \| irapuato \| mexico \| july 6-8 \| centro paralimpico nacional \| 44 \| None row 8 : 8th \| 2014 \| kamloops \| canada \| august 8-10 \| hillside stadium \| None \| None ] Execute this SQL based on the above table: select count ( city ) where = '6th'	1
[ 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 species order by species desc limit 1	white spruce
[ header: week \| date \| opponent \| result \| game site \| attendance \| bye row 1 : 1 \| september 3, 1995 \| at miami dolphins \| l 52-14 \| joe robbie stadium \| 71317 \| 0 row 2 : 2 \| september 10, 1995 \| indianapolis colts \| l 27-24 (ot) \| the meadowlands \| 65134 \| 0 row 3 : 3 \| september 17, 1995 \| jacksonville jaguars \| w 27-10 \| the meadowlands \| 49970 \| 0 row 4 : 4 \| september 24, 1995 \| at atlanta falcons \| l 13-3 \| georgia dome \| 40778 \| 0 row 5 : 5 \| october 1, 1995 \| oakland raiders \| l 47-10 \| the meadowlands \| 68941 \| 0 row 6 : 6 \| october 8, 1995 \| at buffalo bills \| l 29-10 \| rich stadium \| 79485 \| 0 row 7 : 7 \| october 15, 1995 \| at carolina panthers \| l 26-15 \| memorial stadium \| 52613 \| 0 row 8 : 8 \| october 22, 1995 \| miami dolphins \| w 17-16 \| the meadowlands \| 67228 \| 0 row 9 : 9 \| october 29, 1995 \| at indianapolis colts \| l 17-10 \| rca dome \| 49250 \| 0 row 10 : 10 \| november 5, 1995 \| new england patriots \| l 20-7 \| the meadowlands \| 61462 \| 0 row 11 : 11 \| None \| None \| None \| None \| None \| 1 row 12 : 12 \| november 19, 1995 \| buffalo bills \| l 28-26 \| the meadowlands \| 54436 \| 0 row 13 : 13 \| november 26, 1995 \| at seattle seahawks \| w 16-10 \| kingdome \| 41160 \| 0 row 14 : 14 \| december 3, 1995 \| st. louis rams \| l 23-20 \| the meadowlands \| 52023 \| 0 row 15 : 15 \| december 10, 1995 \| at new england patriots \| l 31-28 \| foxboro stadium \| 46617 \| 0 row 16 : 16 \| december 17, 1995 \| at houston oilers \| l 23-6 \| astrodome \| 35873 \| 0 row 17 : 17 \| december 24, 1995 \| new orleans saints \| l 12-0 \| the meadowlands \| 28885 \| 0 ] Execute this SQL based on the above table: select min ( date ) where bye = 0 and date = 'november 26, 1995'	1995
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 10 january 1996 \| edison international field, ana \| honduras \| 1-0 \| 3-1 \| 1996 concacaf gold cup row 2 : 2 \| 30 august 1996 \| commonwealth stadium, edmont \| panama \| 3-1 \| 3-1 \| 1998 fifa world cup qualification row 3 : 3 \| 12 october 1997 \| commonwealth stadium, edmont \| mexico \| 2-1 \| 2-2 \| 1998 fifa world cup qualification row 4 : 4 \| 8 october 1999 \| los angeles memorial coliseum \| el salvador \| 1-0 \| 2-1 \| 2000 concacaf gold cup qualification play off row 5 : 5 \| 10 october 1999 \| los angeles memorial coliseum \| haiti \| 1-0 \| 2-1 \| 2000 concacaf gold cup qualification play off row 6 : 6 \| 10 october 1999 \| los angeles memorial coliseum \| haiti \| 2-0 \| 2-2 \| 2000 concacaf gold cup qualification play off row 7 : 7 \| 13 february 2000 \| qualcomm stadium, san die \| costa rica \| 1-1 \| 2-2 \| 2000 concacaf gold cup row 8 : 8 \| 13 february 2000 \| qualcomm stadium, san die \| costa rica \| 2-2 \| 2-2 \| 2000 concacaf gold cup row 9 : 9 \| 20 february 2000 \| qualcomm stadium, san die \| mexico \| 1-1 \| 2-1 \| 2000 concacaf gold cup row 10 : 10 \| 27 february 2000 \| los angeles memorial coliseum \| colombia \| 2-0 \| 2-0 \| 2000 concacaf gold cup row 11 : 11 \| 18 january 2004 \| bridgetown, barbados \| barbados \| 1-0 \| 1-0 \| friendly match ] Execute this SQL based on the above table: select count ( distinct # )	11
[ header: speed [km/h (mph)] \| train \| type \| location \| date \| comments row 1 : 504 (313.2) \| ml-500 \| maglev \| miyazaki maglev test track \| 12 december 1979 \| None row 2 : 517 (321.2) \| ml-500 \| maglev \| miyazaki maglev test track \| 21 december 1979 \| None row 3 : 352.4 (219.0) \| mlu001 \| maglev \| miyazaki maglev test track \| january 1986 \| three-car train set row 4 : 405.3 (251.8) \| mlu001 \| maglev \| miyazaki maglev test track \| january 1987 \| two-car train set row 5 : 431 (267.8) \| mlu002n \| maglev \| miyazaki maglev test track \| february 1994 \| single-car row 6 : 550 (341.8) \| mlx01 \| maglev \| yamanashi maglev test line \| 24 december 1997 \| three-car train set row 7 : 548 (340.5) \| mlx01 \| maglev \| yamanashi maglev test line \| 18 march 1999 \| five-car train set ] Execute this SQL based on the above table: select count ( speed [km/h (mph)] ) where date = 1173	0
[ header: position \| song title \| artist \| sales \| highest position row 1 : 1 \| unchained melody/white cliffs \| robson green & jerome flyn \| 1,844,000 \| 1 row 2 : 2 \| gangsta's paradise \| coolio featuring l.v \| 1,110,000 \| 1 row 3 : 3 \| i believe/up on the roof \| robson green & jerome flyn \| 1,049,000 \| 1 row 4 : 4 \| back for good \| take that \| 960,000 \| 1 row 5 : 5 \| think twice \| celine dion \| 928,000 \| 1 row 6 : 6 \| fairground \| simply red \| 782,000 \| 1 row 7 : 7 \| you are not alone \| michael jackson \| 714,000 \| 1 row 8 : 8 \| earth song \| michael jackson \| 802,000 \| 1 row 9 : 9 \| missing \| everything but the girl \| 696,000 \| 3 row 10 : 10 \| wonderwall \| oasis \| 665,000 \| 2 row 11 : 11 \| boom boom boom \| outhere brothers \| 652,000 \| 1 row 12 : 12 \| country house \| blur \| 642,000 \| 1 row 13 : 13 \| father and son \| boyzone \| 620,000 \| 2 row 14 : 14 \| don't stop (wiggle wiggle \| outhere brothers \| 617,000 \| 1 row 15 : 15 \| boombastic \| shaggy \| 557,000 \| 1 row 16 : 16 \| cotton eye joe \| rednex \| 512,000 \| 1 row 17 : 17 \| set you free \| n-trance \| 503,000 \| 2 row 18 : 18 \| living next door to alice \| smokie featuring roy ch \| 495,000 \| 3 row 19 : 19 \| hold me, thrill me, kiss me, kill \| u2 \| 471,000 \| 2 row 20 : 20 \| roll with it \| oasis \| 456,000 \| 2 row 21 : 21 \| guaglione \| perez 'prez' prado \| 445,000 \| 2 row 22 : 22 \| i'll be there for you \| the rembrandts \| 421,000 \| 3 row 23 : 23 \| two can play that game \| bobby brown \| 413,000 \| 3 row 24 : 24 \| here comes the hotstepper \| ini kamoze \| 407,000 \| 4 row 25 : 25 \| shy guy \| diana king \| 405,000 \| 2 row 26 : 26 \| it's oh so quiet \| bjork \| 404,000 \| 4 row 27 : 27 \| never forget \| take that \| 403,000 \| 1 row 28 : 28 \| don't give me your life \| alex party \| 395,000 \| 2 row 29 : 29 \| waterfalls \| tlc \| 355,000 \| 4 row 30 : 30 \| scatman (ski ba bop ba \| scatman john \| 352,000 \| 2 row 31 : 31 \| some might say \| oasis \| 346,000 \| 1 row 32 : 32 \| you'll see \| madonna \| 342,000 \| 5 row 33 : 33 \| thunder \| east 17 \| 339,000 \| 4 row 34 : 34 \| stayin' alive \| n-trance featuring ricardo \| 335,000 \| 2 row 35 : 35 \| i'd lie for you (and that \| meat loaf \| 334,000 \| 2 row 36 : 36 \| common people \| pulp \| 326,000 \| 2 row 37 : 37 \| fantasy \| mariah carey \| 323,000 \| 4 row 38 : 38 \| i've got a little something for \| mn8 \| 317,000 \| 2 row 39 : 39 \| kiss from a rose/i'm alive \| seal \| 310,000 \| 4 row 40 : 40 \| dreamer \| livin' joy \| 303,000 \| 1 ] Execute this SQL based on the above table: select artist where artist in ( 'ini kamoze' , 'coolio featuring l.v' ) order by sales desc limit 1	ini kamoze
[ header: year \| english title \| chinese title \| role \| notes row 1 : 1990 \| wandering heroes \| 游侠儿 - you xia er \| xiao guai \| None row 2 : 1995 \| forever friends \| 四个不平凡的少年 - si ge bu ping fan \| luo zhi j \| None row 3 : 1996 \| flirting expert \| 泡妞专家 - pao niu \| xiao pei \| None row 4 : 1996 \| pale sun \| 情色 - qing se \| lao wu \| None row 5 : 1998 \| red bride \| 红娘 - hong niang \| zhang jun rui \| None row 6 : 1999 \| winner takes all \| 大赢家 - da ying ji \| shi sheng zi \| None row 7 : 1999 \| cotton fleece \| 白棉花 - bai mian h \| ma cheng gong \| None row 8 : 2000 \| devoted to you \| 初恋的故事 - chu lian de \| yu hai \| None row 9 : 2002 \| reunion \| 手足情深 - shou zu q \| ka chung \| None row 10 : 2003 \| grandpa's home \| 爷爷的家 - ye ye \| xin qiang gong an \| None row 11 : 2005 \| taklamakan \| 塔克拉玛干 - takelamagan \| cheng cheng (成成) \| None row 12 : 2008 \| fit lover \| 爱情呼叫转移ii:爱情左右 - a \| guo ying (郭影) \| None row 13 : 2009 \| l-o-v-e \| 爱到底 - ai dao di \| None \| guest star row 14 : 2009 \| a singing fairy \| 寻找刘三姐 - xun zha \| wei wende (韦文德) \| None row 15 : 2009 \| the message \| 风声 - feng sheng \| bai xiaonian (白小年) \| aka "sound of the wind" row 16 : 2009 \| the star and the sea \| 星海 - xinghai \| xiao youmei (萧友梅) \| aka "the musician" row 17 : 2010 \| the four cupids \| 四个丘比特 - si ge qiu \| qi bolin (齐泊霖) \| None row 18 : 2010 \| secret battleground \| 孤岛秘密战 - gu dao mi mi \| japanese officer \| None row 19 : 2010 \| the love song of kang ding \| 康定情歌 - kang ding \| li su jie \| None row 20 : 2010 \| lost in panic room \| 密室之不可告人 - mi shi zi bu \| liu feiyun \| None row 21 : 2011 \| deng enming's childhood \| 少年邓恩铭 - shao nian den \| None \| None row 22 : 2012 \| design of death \| 杀生 - sha sheng \| longevity town doctor \| previous title: 长寿镇 - chang row 23 : 2012 \| the assassins \| 铜雀台 - tong que ta \| emperor xian (獻帝) \| alt pinyin: tong qi row 24 : 2012 \| back to 1942 \| 一九四二 - yi ji \| song ziwen (宋子文) \| None row 25 : 2012 \| three unmarried mothers \| 三个未婚妈妈 - san ge wei \| None \| None row 26 : 2013 \| sweet alibis \| 甜蜜殺機 \| 王志毅 - wang zhi \| None ] Execute this SQL based on the above table: select role where year in ( 2003 , 1995 )	luo zhi jian, xin qiang gong an
[ header: name \| gauge \| builder \| type \| date \| works number \| notes row 1 : no.774 \| 2 ft (610 mm) \| baguley \| 4wpm \| 1919 \| 774 \| undergoing restoration, not on display, purchased 1998 row 2 : dot \| 18 in (457 mm) \| beyer peacock \| 0-4-0wt \| 1887 \| 2817 \| built for the internal gorton locomotive works of be row 3 : rough pup \| 2 ft (610 mm) \| hunslet \| 0-4-0st \| 1891 \| 541 \| built for the dinorwic quarry railway. row 4 : no. 13 \| 1 ft 10 in (560 mm \| william spence ltd \| 0-4-0t \| 1895 \| None \| one of a fleet of overtype locomotives row 5 : george henry \| 1 ft 10 3⁄4 in (5 \| de winton \| 0-4-0vb \| 1877 \| None \| ex-penrhyn quarry locomotive. row 6 : jubilee 1897 \| 1 ft 11 1⁄2 in (5 \| manning wardle \| 0-4-0st \| 1897 \| 1382 \| built for the cilgwyn quarry in row 7 : dundee gasworks no.2 \| 1 ft 11 1⁄2 in (5 \| kerr stuart \| 0-4-0wt \| 1907 \| 720 \| built for the dundee gasworks railway ] Execute this SQL based on the above table: select count ( notes ) where date >= 191	7
[ header: # \| name \| alma mater \| birth date \| marriage date \| president \| tenure \| tenure row 1 : 1 \| jiang qing \| shandong provincial experimental theatre \| 19 march 1914 \| 20 november 1938 \| mao zedong \| 27 september 1954 \| 27 april 1959 row 2 : 2 \| wang guangmei \| fu jen catholic university \| 26 september 1921 \| 21 august 1948 \| liu shaoqi \| 27 april 1959 \| 21 october 1968 row 3 : 3 \| he lianying \| None \| None \| None \| dong biwu \| 31 october 1968 \| 17 january 1975 row 4 : 4 \| lin jiamei \| tong de medical college \| 1924 \| None \| li xiannian \| 18 june 1983 \| 8 april 1988 row 5 : 5 \| wang yeping \| shanghai foreign language institute \| february 1928 \| december 1949 \| jiang zemin \| 27 march 1993 \| 15 march 2003 row 6 : 6 \| liu yongqing \| tsinghua university \| 1940 \| february 1970 \| hu jintao \| 15 march 2003 \| 14 march 2013 row 7 : 7 \| peng liyuan \| china conservatory of music \| 20 november 1962 \| 1 september 1987 \| xi jinping \| 14 march 2013 \| incumbent ] Execute this SQL based on the above table: select alma mater order by tenure desc limit 1	shandong provincial experimental theatre
[ 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 name order by time (hand) desc limit 1	alfred maasik
[ header: city/municipality \| city/municipality \| no. of barangays \| area (hectares) \| population (2010) \| income class (2010) \| mayor (2010-2013) row 1 : None \| baao \| 30 \| 10663 \| 54971 \| 3rd class \| melquiades i. gait row 2 : None \| balatan \| 17 \| 9309 \| 28699 \| 4th class \| ernesto a. bagas row 3 : None \| bato \| 33 \| 10712 \| 48306 \| 3rd class \| jeanette r. bernal row 4 : None \| buhi \| 38 \| 24665 \| 73809 \| 1st class \| rey p. lacoste row 5 : None \| bula \| 33 \| 16764 \| 68011 \| 2nd class \| benjamin s. decen row 6 : None \| calabanga \| 48 \| 16380 \| 78119 \| 1st class \| eduardo severo row 7 : None \| camaligan \| 13 \| 468 \| 22254 \| 5th class \| marilou marquez-hirose row 8 : None \| caramoan \| 49 \| 27600 \| 44945 \| 2nd class \| constantino h. cordial, row 9 : None \| gainza \| 8 \| 1475 \| 10345 \| 5th class \| william angeles abilay row 10 : None \| garchitorena \| 23 \| 24380 \| 25204 \| 4th class \| solon o.demetriou j row 11 : None \| goa \| 34 \| 20618 \| 58503 \| 2nd class \| antero s. lim row 12 : None \| iriga city \| 36 \| 13735 \| 105919 \| 4th class \| madeleine a. gazmen row 13 : None \| lagonoy \| 38 \| 37790 \| 51814 \| 2nd class \| delfin r. pilapil row 14 : None \| libmanan \| 75 \| 34282 \| 100002 \| 1st class \| marilyn a. jimenez row 15 : None \| lupi \| 38 \| 19912 \| 30118 \| 3rd class \| raul m. matamoros row 16 : None \| magarao \| 15 \| 4497 \| 24274 \| 4th class \| salvador a. senar row 17 : None \| milaor \| 20 \| 3364 \| 28474 \| 4th class \| rogelio a. row 18 : None \| nabua \| 42 \| 9620 \| 80111 \| 1st class \| delia c. simbulan row 19 : 25px \| naga city \| 27 \| 8448 \| 174931 \| 2nd class \| john g. bongat row 20 : None \| ocampo \| 25 \| 11833 \| 43523 \| 3rd class \| fidel c. carido row 21 : None \| pamplona \| 17 \| 8060 \| 34471 \| 4th class \| gimeno a. imperial row 22 : None \| pasacao \| 19 \| 14954 \| 45946 \| 3rd class \| asuncion v. arseni row 23 : None \| pili \| 26 \| 12625 \| 82307 \| 1st class \| tomas p. bongalonta, row 24 : None \| presentacion \| 18 \| 14380 \| 20023 \| 4th class \| joey a. delen row 25 : None \| sagnay \| 19 \| 15476 \| 31314 \| 4th class \| evelyn b. fuente row 26 : None \| san fernando \| 22 \| 7176 \| 33281 \| 4th class \| eugenio "jun" ] Execute this SQL based on the above table: select mayor (2010-2013) where mayor (2010-2013) = 'ernesto a. bagasbas'	ernesto a. bagasbas
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| russia \| 3 \| 0 \| 2 \| 5 row 2 : 2 \| italy \| 1 \| 1 \| 0 \| 2 row 3 : 3 \| finland \| 0 \| 1 \| 0 \| 1 row 4 : 3 \| germany \| 0 \| 1 \| 0 \| 1 row 5 : 3 \| switzerland \| 0 \| 1 \| 0 \| 1 row 6 : 6 \| france \| 0 \| 0 \| 1 \| 1 row 7 : 6 \| georgia \| 0 \| 0 \| 1 \| 1 row 8 : None \| total \| 4 \| 4 \| 4 \| 12 ] Execute this SQL based on the above table: select max ( rank ) - min ( silver )	6.0
[ header: episode \| name \| synopsis \| sent home \| highest seller row 1 : 1 \| vegas meltdown \| nine aspiring restaurateurs arrive in las \| ammerah, kimmy \| patrick row 2 : 2 \| tantrum in temecula \| the restaurant express bus arrives in temecula, \| johnathan \| eric row 3 : 3 \| express: impossible \| the restaurant express bus arrives in los angeles \| bianca \| none row 4 : 4 \| battle by the beach \| the restaurant express bus arrives at the iconic balb \| patrick \| eric row 5 : 5 \| going, going, gone! \| the remaining four contestants are given their biggest budget \| eric \| adam row 6 : 6 \| the truck stops here! \| the three remaining chefs are each given a food \| none \| adam row 7 : 7 \| vegas or bust \| jan and seonkyoung battle to \| jan, adam \| seonkyoung ] Execute this SQL based on the above table: select count ( * ) where episode < ( select episode where name = 954 )	0