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symbolic-instruction-tuning-sql

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train · 200k rows

inputs stringlengths 291 3.71k	targets stringlengths 1 2.65k
[ header: # \| title \| tpb isbn \| tpb release date \| tpb page number \| collected material row 1 : 1 \| the name of the game \| isbn 91-33-30546-3 \| june, 2007 \| 152 \| the boys #1-6 row 2 : 2 \| get some \| isbn 1-933305-68-1 \| march, 2008 \| 192 \| the boys #7-14 row 3 : 3 \| good for the soul \| isbn 1-933305-92-4 \| october, 2008 \| 192 \| the boys #15-22 row 4 : 4 \| we gotta go now \| isbn 1-84856-298-5 \| july, 2009 \| 192 \| the boys #23-30 row 5 : 5 \| herogasm \| isbn 1-60690-082-x \| november, 2009 \| 144 \| herogasm #1-6 row 6 : 6 \| the self-preservation society \| isbn 1-60690-125-7 \| march, 2010 \| 192 \| the boys #31-38 row 7 : 7 \| the innocents \| isbn 1-60690-150-8 \| december, 2010 \| 216 \| the boys #39-47 row 8 : 8 \| highland laddie \| isbn 1-60690-207-5 \| april, 2011 \| 144 \| highland laddie #1-6 row 9 : 9 \| the big ride \| isbn 1-60690-220-2 \| november 9, 2011 \| 276 \| the boys #48-59 row 10 : 10 \| butcher, baker, candlestickmaker \| isbn 1-60690-264-4 \| march 6, 2012 \| 144 \| butcher, baker, candlestickmaker #1 row 11 : 11 \| over the hill with the sword of a thousand \| isbn 1-60690-341-1 \| june/july, 2012 \| 152 \| the boys #60-65 row 12 : 12 \| the bloody doors off \| isbn 1-60690-373- \| december, 2012 \| 170 \| the boys #66-72 ] Execute this SQL based on the above table: select title order by # desc limit 1	the bloody doors off
[ header: outcome \| no. \| date \| tournament \| surface \| partner \| opponents in the final \| score in the final row 1 : winner \| 1 \| 12 march 1978 \| dallas \| carpet \| martina navratilova \| evonne goolagong bett \| 6-3, 7-6 row 2 : runner-up \| 3 \| 18 february 1979 \| los angeles \| hard (i) \| martina navratilova \| rosemary casals chris evert \| 4-6, 6-1, 3-6 row 3 : winner \| 4 \| 12 august 1979 \| indianapolis \| clay \| kathy jordan \| penny johnson paula smith \| 6-1, 6-0 row 4 : winner \| 5 \| 28 october 1979 \| tampa \| hard \| virginia ruzici \| ilana kloss bett \| 7-5, 4-6, 7-5 row 5 : winner \| 6 \| 25 november 1979 \| brighton \| carpet \| ann kiyomura \| ilana kloss laura \| 6-2, 6-1 row 6 : runner-up \| 5 \| 2 december 1979 \| melbourne \| grass \| dianne fromholtz \| billie jean king wendy \| 3-6, 3-6 row 7 : runner-up \| 6 \| 10 february 1980 \| los angeles \| hard (i) \| kathy jordan \| rosemary casals martina navrati \| 6-7, 2-6 row 8 : winner \| 8 \| 7 june 1980 \| french open \| clay \| kathy jordan \| ivanna madruga ad \| 6-1, 6-0 row 9 : runner-up \| 10 \| 5 october 1980 \| minneapolis \| carpet \| paula smith \| ann kiyomura candy \| 3-6, 6-4, 1-6 row 10 : runner-up \| 12 \| 16 november 1980 \| tampa \| hard \| paula smith \| rosemary casals candy reynolds \| 6-7, 5-7 row 11 : runner-up \| 13 \| 15 march 1981 \| dallas \| carpet \| kathy jordan \| martina navratilova pa \| 5-7, 4-6 row 12 : runner-up \| 14 \| 21 june 1981 \| eastbourne \| grass \| kathy jordan \| martina navratilova pa \| 7-6, 2-6, 1-6 row 13 : runner-up \| 16 \| 16 august 1981 \| richmond \| carpet \| kathy jordan \| sue barker ann kiyo \| 6-4, 6-7, 4-6 row 14 : runner-up \| 20 \| 17 january 1982 \| cincinnati \| carpet \| pam shriver \| sue barker ann kiyo \| 2-6, 6-7 row 15 : runner-up \| 21 \| 24 january 1982 \| seattle \| carpet \| kathy jordan \| rosemary casals wendy turnbull \| 5-7, 4-6 row 16 : runner-up \| 30 \| 20 february 1983 \| chicago \| carpet \| kathy jordan \| martina navratilova pa \| 1-6, 2-6 row 17 : runner-up \| 32 \| 3 april 1983 \| tokyo \| carpet \| kathy jordan \| billie jean king shar \| 1-6, 1-6 row 18 : winner \| 24 \| 24 april 1983 \| orlando \| clay \| billie jean king \| martina navratilova pa \| 6-3, 1-6, 7-6 row 19 : winner \| 26 \| 31 march 1985 \| palm beach gardens \| clay \| joanne russell \| laura arraya gabriela sa \| 1-6, 6-1, 7-6(4) ] Execute this SQL based on the above table: select surface order by no. desc limit 1	carpet
[ header: administrative area \| area km2 \| area sq mi \| population \| administrative centre row 1 : saint helena \| 122 \| 47 \| 5809 \| jamestown row 2 : ascension island \| 91 \| 35 \| 1532 \| georgetown row 3 : tristan da cunha \| 184 \| 71 \| 388 \| edinburgh of the seven seas row 4 : tristan da cunha \| 98 \| 38 \| 382 \| edinburgh of the seven seas row 5 : inaccessible island \| 14 \| 5 \| 0 \| denstone hut row 6 : nightingale island \| 3.2 \| 1 \| 0 \| west landing row 7 : gough island \| 68 \| 26 \| 6 \| transvaal bay row 8 : total \| 397 \| 153 \| 7729 \| jamestown ] Execute this SQL based on the above table: select administrative centre where administrative centre in ( 'edinburgh of the seven seas' , 'denstone hut' ) order by administrative area desc limit 1	edinburgh of the seven seas
[ header: pump type and source \| typical use \| 35 °c (e.g. heated screed floor) \| 45 °c (e.g. heated screed floor) \| 55 °c (e.g. heated timber floor) \| 65 °c (e.g. radiator or dhw) \| 75 °c (e.g. radiator and dhw) \| 85 °c (e.g. radiator and dhw) row 1 : high-efficiency air source heat pump (ashp \| None \| 2.2 \| 2 \| None \| None \| None \| None row 2 : two-stage ashp, air at \| low source temperature \| 2.4 \| 2.2 \| 1.9 \| None \| None \| None row 3 : high efficiency ashp, air at 0 \| low output temperature \| 3.8 \| 2.8 \| 2.2 \| 2 \| None \| None row 4 : prototype transcritical co 2 (r744) heat \| high output temperature \| 3.3 \| None \| None \| 4.2 \| None \| 3 row 5 : ground source heat pump (gshp), \| None \| 5 \| 3.7 \| 2.9 \| 2.4 \| None \| None row 6 : gshp, ground at 10 \| low output temperature \| 7.2 \| 5 \| 3.7 \| 2.9 \| 2.4 \| None row 7 : theoretical carnot cycle limit, source -20 \| None \| 5.6 \| 4.9 \| 4.4 \| 4 \| 3.7 \| 3.4 row 8 : theoretical carnot cycle limit, source 0 \| None \| 8.8 \| 7.1 \| 6 \| 5.2 \| 4.6 \| 4.2 row 9 : theoretical lorentzen cycle limit (co 2 \| None \| 10.1 \| 8.8 \| 7.9 \| 7.1 \| 6.5 \| 6.1 row 10 : theoretical carnot cycle limit, source 10 ° \| None \| 12.3 \| 9.1 \| 7.3 \| 6.1 \| 5.4 \| 4.8 ] Execute this SQL based on the above table: select 35 °c (e.g. heated screed floor) where 35 °c (e.g. heated screed floor) in ( 5 , 5 ) group by 35 °c (e.g. heated screed floor) order by count ( pump type and source ) desc limit 1	5
[ 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 sum ( country ) where 2008 attendance = 3495	0.0
[ header: season \| level \| division \| section \| administration \| position \| movements row 1 : 1999 \| tier 2 \| ykkonen (first division) \| south group \| finnish fa (suo \| 9th \| relegation group - relegate row 2 : 2000 \| tier 3 \| kakkonen (second division) \| south group \| finnish fa (suo \| 2nd \| play-offs - promoted row 3 : 2001 \| tier 2 \| ykkonen (first division) \| south group \| finnish fa (suo \| 9th \| relegated row 4 : 2002 \| tier 3 \| kakkonen (second division) \| south group \| finnish fa (suo \| 2nd \| None row 5 : 2003 \| tier 3 \| kakkonen (second division) \| south group \| finnish fa (suo \| 11th \| relegated row 6 : 2004 \| tier 4 \| kolmonen (third division) \| section 3 \| helsinki & u \| 8th \| None row 7 : 2005 \| tier 4 \| kolmonen (third division) \| section 3 \| helsinki & u \| 6th \| None row 8 : 2006 \| tier 4 \| kolmonen (third division) \| section 2 \| helsinki & u \| 7th \| None row 9 : 2007 \| tier 4 \| kolmonen (third division) \| section 3 \| helsinki & u \| 2nd \| None row 10 : 2008 \| tier 4 \| kolmonen (third division) \| section 3 \| helsinki & u \| 2nd \| None row 11 : 2009 \| tier 4 \| kolmonen (third division) \| section 2 \| helsinki & u \| 1st \| promoted row 12 : 2010 \| tier 3 \| kakkonen (second division) \| group a \| finnish fa (suo \| None \| None ] Execute this SQL based on the above table: select division where administration = 'finnish fa (suomen pallolitto)' order by level desc limit 1	kakkonen (second division)
[ header: year \| location \| gold \| silver \| bronze row 1 : 1958 \| tokyo \| sachika kamo \| desideria ampon \| liu shang-ku row 2 : 1962 \| jakarta \| akiko fukui \| reiko miyagi \| desideria ampon patricia y row 3 : 1966 \| bangkok \| lany kaligis \| kazuko kuromatsu \| lita liem sugiarto row 4 : 1974 \| tehran \| lita liem sugiarto \| paulina pesahov \| lany kaligis row 5 : 1978 \| bangkok \| lee duk-hee \| chen chuan \| kiyoko nomura sonoe row 6 : 1982 \| new delhi \| etsuko inoue \| kim soo-ok \| yu liqiao row 7 : 1986 \| seoul \| li xinyi \| lee jeong-soon \| kim soo-ok row 8 : 1990 \| beijing \| akiko kijimuta \| chen li \| park mal-sim kim il- row 9 : 1994 \| hiroshima \| kimiko date \| naoko sawamatsu \| yayuk basuki chen row 10 : 1998 \| bangkok \| yayuk basuki \| tamarine tanasugar \| li fang yi j row 11 : 2002 \| busan \| iroda tulyaganova \| tamarine tanasugar \| shinobu asagoe row 12 : 2006 \| doha \| zheng jie \| sania mirza \| li na aiko row 13 : 2010 \| guangzhou \| peng shuai \| akgul amanmuradova \| kimiko date-krumm s ] Execute this SQL based on the above table: select silver order by year limit 1	desideria ampon
[ header: date \| site \| winning team \| winning team \| losing team \| losing team \| series row 1 : 1959 \| ames \| missouri \| 14 \| iowa state \| 0 \| missouri 30-16-6 row 2 : 1960 \| columbia \| missouri \| 34 \| iowa state \| 8 \| missouri 31-16-6 row 3 : 1962 \| columbia \| missouri \| 21 \| iowa state \| 6 \| missouri 33-16-6 row 4 : 1963 \| ames \| missouri \| 7 \| iowa state \| 0 \| missouri 34-16-6 row 5 : 1964 \| columbia \| missouri \| 10 \| iowa state \| 0 \| missouri 35-16-6 row 6 : 1965 \| ames \| missouri \| 23 \| iowa state \| 7 \| missouri 36-16-6 row 7 : 1967 \| ames \| missouri \| 23 \| iowa state \| 7 \| missouri 37-16-7 row 8 : 1969 \| ames \| missouri \| 40 \| iowa state \| 13 \| missouri 39-16-7 row 9 : 1971 \| ames \| iowa state \| 45 \| missouri \| 17 \| missouri 39-18-7 row 10 : 1973 \| ames \| iowa state \| 17 \| missouri \| 7 \| missouri 40-19-7 row 11 : 1974 \| columbia \| missouri \| 10 \| iowa state \| 7 \| missouri 41-19-7 row 12 : 1976 \| columbia \| iowa state \| 21 \| missouri \| 17 \| missouri 42-20-7 row 13 : 1977 \| ames \| iowa state \| 7 \| missouri \| 0 \| missouri 42-21-7 row 14 : 1978 \| columbia \| missouri \| 26 \| iowa state \| 13 \| missouri 43-21-7 row 15 : 1980 \| columbia \| missouri \| 14 \| iowa state \| 10 \| missouri 45-21-7 row 16 : 1982 \| columbia \| iowa state \| 17 \| missouri \| 17 \| missouri 45-22-8 row 17 : 1983 \| ames \| missouri \| 41 \| iowa state \| 18 \| missouri 46-22-8 row 18 : 1985 \| ames \| missouri \| 28 \| iowa state \| 27 \| missouri 47-22-9 row 19 : 1988 \| columbia \| iowa state \| 21 \| missouri \| 3 \| missouri 48-24-9 row 20 : 1992 \| ames \| iowa state \| 28 \| missouri \| 14 \| missouri 48-28-9 row 21 : 1995 \| columbia \| missouri \| 45 \| iowa state \| 31 \| missouri 51-28-9 row 22 : 1998 \| ames \| #21 missouri \| 35 \| iowa state \| 19 \| missouri 53-29-9 row 23 : 1999 \| columbia \| iowa state \| 24 \| missouri \| 21 \| missouri 53-30-9 row 24 : 2000 \| ames \| iowa state \| 39 \| missouri \| 20 \| missouri 53-31-9 row 25 : 2001 \| columbia \| iowa state \| 20 \| missouri \| 14 \| missouri 53-32-9 row 26 : 2004 \| ames \| missouri \| 17 \| iowa state \| 14 \| missouri 55-33-9 row 27 : 2007 \| columbia \| #13 missouri \| 42 \| iowa state \| 28 \| missouri 57-34-9 row 28 : 2008 \| ames \| #11 missouri \| 52 \| iowa state \| 20 \| missouri 58-34-9 row 29 : 2009 \| columbia \| missouri \| 34 \| iowa state \| 24 \| missouri 59-34-9 row 30 : 2010 \| ames \| #15 missouri \| 14 \| iowa state \| 0 \| missouri 60-34-9 ] Execute this SQL based on the above table: select winning team order by date limit 1	missouri
[ header: year \| title \| peak chart positions swe \| peak chart positions swi \| peak chart positions uk \| album row 1 : 2003 \| "znaj da znam" \| None \| None \| None \| naj, najbolja row 2 : 2003 \| "naj, najbolja" \| None \| None \| None \| naj, najbolja row 3 : 2003 \| "gorka cokolada" \| None \| None \| None \| bez ljubavi row 4 : 2004 \| "bol do ludila" \| None \| None \| None \| bez ljubavi row 5 : 2005 \| "ponuda" \| None \| None \| None \| ponuda cds row 6 : 2005 \| "agonija" \| None \| None \| None \| agonija cds row 7 : 2005 \| "u nedelju" \| None \| None \| None \| bez ljubavi row 8 : 2006 \| "bez ljubavi" \| None \| None \| None \| bez ljubavi row 9 : 2006 \| "101" \| None \| None \| None \| bez ljubavi row 10 : 2007 \| "molitva" \| 9 \| 19 \| 112 \| molitva cds, row 11 : 2008 \| "nisam anđeo" \| None \| None \| None \| nisam anđeo row 12 : 2009 \| "sta da zaboravim" \| None \| None \| None \| anđeo row 13 : 2010 \| "jedan vidi sve" \| None \| None \| None \| anđeo ] Execute this SQL based on the above table: select album order by year desc limit 1	anđeo
[ header: draw \| artist \| song \| points \| place row 1 : 1 \| the memories \| "if it means losing you" \| 57 \| 8th row 2 : 2 \| ann breen \| "oh, darling" \| 80 \| 4th row 3 : 3 \| fran meen \| "say that you love me" \| 66 \| 6th row 4 : 4 \| dreams \| "sin sin ("that's that") \| 73 \| 5th row 5 : 5 \| connor stevens \| "count on me" \| 88 \| 3rd row 6 : 6 \| linda martin and friends \| "all the people in the world" \| 105 \| 2nd row 7 : 7 \| maggie toal \| "feed him with love" \| 61 \| 7th row 8 : 8 \| liam reilly \| "somewhere in europe" \| 130 \| 1st ] Execute this SQL based on the above table: select song where place = '6th' order by id desc limit 1	"say that you love me"
[ 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 athlete group by athlete order by count ( * ) desc limit 1	yelena yakovleva
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 16 november 2005 \| tehelne pole, bra \| spain \| 1-0 \| 1-1 \| 2006 fifa world cup play-offs row 2 : 2 \| 20 may 2006 \| stadion antona malatin \| belgium \| 1-0 \| 1-1 \| friendly row 3 : 3 \| 13 october 2007 \| stadion zimny, du \| san marino \| 5-0 \| 7-0 \| uefa euro 2008 qualifying row 4 : 4 \| 21 november 2007 \| stadio olimpico, ser \| san marino \| 0-2 \| 0-5 \| uefa euro 2008 qualifying row 5 : 5 \| 9 september 2009 \| windsor park, belfast, northern \| northern ireland \| 0-2 \| 0-2 \| 2010 fifa world cup qualification row 6 : 6 \| 3 september 2010 \| pasienky, bratislava, \| macedonia \| 1-0 \| 1-0 \| uefa euro 2012 qualification row 7 : 7 \| 29 march 2011 \| stadion antona malatin \| denmark \| 1-1 \| 1-2 \| friendly ] Execute this SQL based on the above table: select count ( competition )	7
[ header: rank \| urban area \| population (2001 census) \| area (km2) \| density (people/km2) \| major subdivisions \| metropolitan area row 1 : 1 \| greater glasgow \| 1,168,270 \| 368.47 \| 3,171.0 \| glasgow, paisley, coat \| glasgow row 2 : 2 \| edinburgh \| 452,194 \| 120.11 \| 3,765.0 \| edinburgh, musselburg \| edinburgh row 3 : 3 \| aberdeen \| 197,328 \| 60.94 \| 3,238 \| aberdeen, cove bay, d \| aberdeen row 4 : 4 \| dundee \| 154,674 \| 67 \| 3,298 \| dundee \| dundee row 5 : 5 \| falkirk \| 91,402 \| 36.1 \| 2,532 \| falkirk, grangemouth, car \| falkirk row 6 : 6 \| east kilbride \| 73,796 \| 24.12 \| 3,060 \| east kilbride \| glasgow row 7 : 7 \| greenock \| 73,595 \| 20.69 \| 3,557 \| greenock, gourock, port glas \| glasgow row 8 : 8 \| blantyre/hamilton \| 65,874 \| 22.63 \| 2,911 \| blantyre, hamilton \| glasgow row 9 : 9 \| ayr/prestwick \| 61,365 \| 23.57 \| 2,604 \| ayr, prestwick \| ayr row 10 : 10 \| livingston \| 59,511 \| 26.07 \| 2,283 \| livingston, east calder, mid calder \| edinburgh ] Execute this SQL based on the above table: select major subdivisions where population (2001 census) = '452,194'	2
[ header: airing date \| english title (chinese title) \| number of episodes \| main cast \| theme song (t) sub-theme song (st) \| genre \| notes \| official website row 1 : 19 feb- 15 mar \| mutual affection 河東獅吼 \| 20 \| esther kwan, gordon la \| t: "怕老婆會發達" (david \| costume drama \| None \| None row 2 : 18 mar- 3 may \| dark tales 聊齋 \| 35 \| gallen lo, grace yu, ja \| t: "隔世情" (cass \| costume drama \| prequel to 1998's dark tales \| None row 3 : 6 may- 31 may \| money just can't buy 天降財神 \| 20 \| bobby au yeung, mari \| t: "運財有福星" (natalis \| modern drama \| None \| None row 4 : 3 jun- 21 jun \| crossing boundaries 盞鬼老豆 \| 15 \| mini kung, benz hui \| t: "覺悟" (vivian \| modern drama \| released overseas on april 3, 1995 \| None row 5 : 24 jun- 16 aug \| state of divinity 笑傲江湖 \| 40 \| jackie lui, fiona le \| t: "活得瀟灑" (alan \| costume drama \| None \| official website row 6 : 19 aug- 6 sep \| the price to pay 五個醒覺的少年 \| 20 \| john kwan, may kw \| t: "改改改" (hacken le \| modern drama \| released overseas on december 7, 1995 \| None row 7 : 9 sep- 4 oct \| night journey 殭屍福星 \| 20 \| yuen wah, dani \| t: "今天開始" (danie \| costume drama \| None \| None row 8 : 7 oct- 15 nov \| food of love 闔府統請 \| 30 \| wong he, kenix k \| t: "闔府統請" (gabriel \| modern drama \| None \| None row 9 : 10 nov- 20 dec \| journey to the west 西遊記 \| 30 \| dicky cheung, kw \| t: "西遊記" (dicky \| costume drama \| prequel to 1998's journey to the west \| official website row 10 : 30 dec 1996- 27 jan 1998 \| in the name of love 有肥人終成眷屬 \| 20 \| kent cheng, sunny chan \| t: "但願有情人" (mo \| modern drama \| None \| None ] Execute this SQL based on the above table: select english title (chinese title) order by number of episodes desc limit 1	state of divinity 笑傲江湖
[ header: week \| date \| opponent \| result \| record \| game site \| tv time \| attendance \| bye row 1 : 1 \| september 1, 1996 \| arizona cardinals \| w 20-13 \| 1-0 \| rca dome \| fox 1:00 pm \| 48133 \| 0 row 2 : 2 \| september 8, 1996 \| at new york jets \| w 21-7 \| 2-0 \| the meadowlands \| nbc 4:15 pm \| 63534 \| 0 row 3 : 3 \| september 15, 1996 \| at dallas cowboys \| w 25-24 \| 3-0 \| texas stadium \| nbc 4:15 pm \| 63021 \| 0 row 4 : 4 \| september 23, 1996 \| miami dolphins \| w 10-6 \| 4-0 \| rca dome \| abc 9:00 pm \| 60891 \| 0 row 5 : 5 \| None \| None \| None \| None \| None \| None \| None \| 1 row 6 : 6 \| october 6, 1996 \| at buffalo bills \| l 13-16 \| 4-1 \| rich stadium \| nbc 4:15 pm \| 79401 \| 0 row 7 : 7 \| october 13, 1996 \| baltimore ravens \| w 26-21 \| 5-1 \| rca dome \| tnt 8:15 pm \| 56978 \| 0 row 8 : 8 \| october 20, 1996 \| new england patriots \| l 9-27 \| 5-2 \| rca dome \| nbc 1:00 pm \| 58725 \| 0 row 9 : 9 \| october 27, 1996 \| at washington redskins \| l 16-31 \| 5-3 \| rfk stadium \| nbc 1:00 pm \| 54254 \| 0 row 10 : 10 \| november 3, 1996 \| san diego chargers \| l 19-26 \| 5-4 \| rca dome \| nbc 1:00 pm \| 58484 \| 0 row 11 : 11 \| november 10, 1996 \| at miami dolphins \| l 13-37 \| 5-5 \| joe robbie stadium \| nbc 1:00 pm \| 66623 \| 0 row 12 : 12 \| november 17, 1996 \| new york jets \| w 34-29 \| 6-5 \| rca dome \| nbc 1:00 pm \| 48322 \| 0 row 13 : 13 \| november 24, 1996 \| at new england patriots \| l 13-27 \| 6-6 \| foxboro stadium \| nbc 1:00 pm \| 58226 \| 0 row 14 : 14 \| december 1, 1996 \| buffalo bills \| w 13-10 \| 7-6 \| rca dome \| nbc 4:15 pm \| 53804 \| 0 row 15 : 15 \| december 5, 1996 \| philadelphia eagles \| w 37-10 \| 8-6 \| rca dome \| espn 8:15 pm \| 52689 \| 0 row 16 : 16 \| december 15, 1996 \| at kansas city chiefs \| w 24-19 \| 9-6 \| arrowhead stadium \| nbc 4:15 pm \| 71136 \| 0 row 17 : 17 \| december 22, 1996 \| at cincinnati bengals \| l 24-31 \| 9-7 \| cinergy field \| nbc 1:00 pm \| 49389 \| 0 ] Execute this SQL based on the above table: select opponent where opponent in ( 'miami dolphins' , 'philadelphia eagles' ) order by tv time desc limit 1	miami dolphins
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1998 \| turin marathon \| turin, italy \| 3rd \| marathon \| 2:12:59 row 2 : 2003 \| lisbon marathon \| lisbon, portugal \| 1st \| marathon \| 2:15:31 row 3 : 2004 \| vienna marathon \| vienna, austria \| 3rd \| marathon \| 2:11:24 row 4 : 2004 \| berlin marathon \| berlin, germany \| 5th \| marathon \| 2:09:08 row 5 : 2005 \| world championships \| helsinki, finland \| 18th \| marathon \| 2:16:33 row 6 : 2006 \| paris marathon \| paris, france \| 4th \| marathon \| 2:08:55 row 7 : 2006 \| lisbon marathon \| lisbon, portugal \| 1st \| marathon \| 2:21:08 row 8 : 2007 \| world championships \| osaka, japan \| None \| marathon \| dns ] Execute this SQL based on the above table: select max ( position )	5th
[ header: year \| competition \| venue \| position \| notes row 1 : 2002 \| asian junior championships \| bangkok, thailand \| 3rd \| 1.76 m row 2 : 2004 \| asian junior championships \| ipoh, malaysia \| 1st \| 1.84 m row 3 : 2004 \| world junior championships \| grosseto, italy \| 7th \| 1.84 m row 4 : 2005 \| universiade \| izmir, turkey \| 7th \| 1.80 m row 5 : 2005 \| asian championships \| incheon, south korea \| 3rd \| 1.84 m row 6 : 2005 \| asian indoor games \| bangkok, thailand \| 2nd \| 1.84 m row 7 : 2006 \| asian games \| doha, qatar \| 6th \| 1.84 m row 8 : 2007 \| asian championships \| amman, jordan \| 3rd \| 1.91 m row 9 : 2007 \| universiade \| bangkok, thailand \| 3rd \| 1.90 m row 10 : 2007 \| world championships \| osaka, japan \| 20th (q) \| 1.88 m row 11 : 2007 \| asian indoor games \| macau \| 3rd \| 1.88 m row 12 : 2008 \| asian indoor championships \| doha, qatar \| 2nd \| 1.91 m row 13 : 2009 \| universiade \| belgrade, serbia \| 14th (q) \| 1.80 m row 14 : 2010 \| asian indoor championships \| tehran, iran \| 2nd \| 1.86 m row 15 : 2010 \| world indoor championships \| istanbul, turkey \| 20th (q) \| 1.81 m row 16 : 2010 \| asian games \| guangzhou, china \| 3rd \| 1.90 m row 17 : 2011 \| asian championships \| kobe, japan \| 4th \| 1.85 m row 18 : 2011 \| universiade \| shenzhen, china \| 10th \| 1.84 m ] Execute this SQL based on the above table: select position where competition = 'world indoor championships'	20th (q)
[ header: game \| november \| opponent \| score \| record row 1 : 2 \| 5 \| @ detroit red wings \| 12 - 5 \| 0-2-0 row 2 : 3 \| 7 \| montreal canadiens \| 4 - 3 ot \| 1-2-0 row 3 : 4 \| 8 \| @ montreal canadiens \| 10 - 4 \| 1-3-0 row 4 : 5 \| 10 \| chicago black hawks \| 5 - 3 ot \| 2-3-0 row 5 : 6 \| 14 \| @ boston bruins \| 5 - 3 \| 2-4-0 row 6 : 7 \| 15 \| boston bruins \| 4 - 3 \| 2-5-0 row 7 : 8 \| 19 \| toronto maple leafs \| 7 - 3 \| 2-6-0 row 8 : 9 \| 22 \| detroit red wings \| 4 - 4 \| 2-6-1 row 9 : 10 \| 26 \| @ chicago black hawks \| 2 - 1 \| 3-6-1 row 10 : 11 \| 28 \| @ toronto maple leafs \| 8 - 6 \| 3-7-1 row 11 : 12 \| 29 \| boston bruins \| 3 - 2 \| 4-7-1 ] Execute this SQL based on the above table: select score where game = 9 and opponent = 'detroit red wings'	4 - 4
[ header: year \| award \| work/artist \| result row 1 : 1999 \| grammy award for best contemporary folk album \| mermaid avenue \| nominated row 2 : 2005 \| grammy award for best alternative music album \| a ghost is born \| won row 3 : 2005 \| grammy award for best recording package (a \| a ghost is born \| won row 4 : 2008 \| grammy award for best rock album \| sky blue sky \| nominated row 5 : 2010 \| grammy award for best americana album \| wilco (the album) \| nominated row 6 : 2012 \| grammy award for best rock album \| the whole love \| nominated ] Execute this SQL based on the above table: select award order by year desc limit 2005	grammy award for best rock album, grammy award for best americana album, grammy award for best rock album, grammy award for best alternative music album, grammy award for best recording package (awarded to the art director), grammy award for best contemporary folk album
[ header: pos \| no \| driver \| team \| laps \| time/retired \| grid \| points row 1 : 1 \| 1 \| alex zanardi \| chip ganassi racing \| 95 \| 1:52:24.080 \| 2 \| 20 row 2 : 2 \| 6 \| michael andretti \| newman-haas racing \| 95 \| 1.921 \| 3 \| 16 row 3 : 3 \| 12 \| jimmy vasser \| chip ganassi racing \| 95 \| 6.702 \| 6 \| 14 row 4 : 4 \| 7 \| bobby rahal \| team rahal \| 95 \| 8.078 \| 9 \| 12 row 5 : 5 \| 8 \| bryan herta \| team rahal \| 95 \| 12.984 \| 17 \| 10 row 6 : 6 \| 20 \| scott pruett \| patrick racing \| 95 \| 14.607 \| 8 \| 8 row 7 : 7 \| 10 \| richie hearn \| della penna motorsports \| 95 \| 15.305 \| 13 \| 6 row 8 : 8 \| 25 \| max papis \| arciero-wells racing \| 95 \| 24.676 \| 20 \| 5 row 9 : 9 \| 40 \| adrian fernandez \| patrick racing \| 95 \| 31.923 \| 16 \| 4 row 10 : 10 \| 16 \| helio castro-neves \| bettenhausen racing \| 95 \| 32.691 \| 21 \| 3 row 11 : 11 \| 99 \| greg moore \| forsythe racing \| 95 \| 34.926 \| 12 \| 2 row 12 : 12 \| 17 \| mauricio gugelmin \| pacwest racing group \| 95 \| 37.64 \| 19 \| 1 row 13 : 13 \| 24 \| robby gordon \| arciero-wells racing \| 94 \| +1 lap \| 22 \| None row 14 : 14 \| 26 \| paul tracy \| team kool green \| 94 \| +1 lap \| 10 \| None row 15 : 15 \| 77 \| arnd meier \| davis racing \| 94 \| +1 lap \| 25 \| None row 16 : 16 \| 11 \| christian fittipaldi \| newman-haas racing \| 93 \| +2 laps \| 5 \| None row 17 : 17 \| 2 \| al unser, jr \| marlboro team penske \| 93 \| +2 laps \| 14 \| None row 18 : 18 \| 19 \| michel jourdain jr \| payton/coyne racing \| 93 \| +2 laps \| 24 \| None row 19 : 19 \| 98 \| p. j. jones \| all american racing \| 84 \| suspension \| 23 \| None row 20 : 20 \| 27 \| dario franchitti \| team kool green \| 79 \| brakes \| 1 \| 1+1 row 21 : 21 \| 34 \| gualter salles \| payton/coyne racing \| 65 \| contact \| 28 \| None row 22 : 22 \| 21 \| tony kanaan \| tasman motorsports group \| 61 \| fire \| 7 \| None row 23 : 23 \| 3 \| andre ribeiro \| marlboro team penske \| 54 \| transmission \| 11 \| None row 24 : 24 \| 9 \| jj lehto \| hogan racing \| 37 \| contact \| 26 \| None row 25 : 25 \| 33 \| patrick carpentier \| forsythe racing \| 33 \| suspension \| 18 \| None row 26 : 26 \| 18 \| mark blundell \| pacwest racing group \| 30 \| electrical \| 15 \| None row 27 : 27 \| 5 \| gil de ferran \| walker racing \| 26 \| contact \| 4 \| None row 28 : 28 \| 36 \| alex barron \| all american racing \| 25 \| contact \| 27 \| None ] Execute this SQL based on the above table: select grid where team = 'davis racing'	25.0
[ header: year \| venue \| standard result \| venue \| latin result row 1 : 1996 \| berlin \| tc ludwigsburg, \| vilnius \| tsc schwarz-gelb row 2 : 1999 \| elblag \| jantar elblag jan \| vilnius \| klaipeda university zuvedra team row 3 : 2001 \| berlin \| dsc kodryanka \| bremerhaven \| tsg bremerhaven, row 4 : 2002 \| kishinev \| dsc kodryanka \| vilnius \| klaipeda university zuvedra team row 5 : 2003 \| stuttgart \| dsc kodryanka \| essen \| klaipeda university zuvedra team row 6 : 2004 \| brunswick \| braunschweiger tsc, \| minsk \| klaipeda university team zuvedra row 7 : 2005 \| elblag \| braunschweiger tsc, \| munich \| klaipeda university zuvedra team row 8 : 2008 \| kishinev \| dsc kodryanka \| wiener neustadt, austria \| zuvedra klaipeda university, row 9 : 2009 \| ludwigsburg germany \| tc ludwigsburg german \| bremen, germany \| grun-gold-club bremen german row 10 : 2010 \| elblag, poland \| fs lotos-jantar ( \| moscow, russia \| vera tyumen, russia ] Execute this SQL based on the above table: select standard result order by year desc limit 1	fs lotos-jantar (poland), braunschweiger tsc(germany)
[ header: \| name \| distance \| date \| location row 1 : 1 \| seppo simola \| 20.15 \| july 19, 1972 \| turku, finland row 2 : 2 \| matti yrjola \| 20.04 \| august 2, 1972 \| hameenkyro, f row 3 : 3 \| bo grahn \| 20.09 \| august 3, 1972 \| helsinki, finland row 4 : 4 \| reijo stahlberg \| 20.38 \| july 26, 1973 \| turku, finland row 5 : 5 \| markku tuokko \| 20.03 \| august 18, 1979 \| mikkeli, finland row 6 : 6 \| aulis akonniemi \| 20.12 \| july 25, 1982 \| ahtari, finland row 7 : 7 \| janne ronkainen \| 20.02 \| may 11, 1986 \| leselidse, soviet union row 8 : 8 \| jari kuoppa \| 20.17 \| june 12, 1986 \| ahtari, finland row 9 : 9 \| kari toyryla \| 20.05 \| july 2, 1986 \| kauhajoki, finland row 10 : 10 \| markus koistinen \| 20.31 \| june 13, 1993 \| luumaki, finland row 11 : 11 \| mika halvari \| 20.08 \| august 4, 1993 \| kotka, finland row 12 : 12 \| arsi harju \| 20.16 \| march 2, 1997 \| tampere, finland row 13 : 13 \| timo aaltonen \| 20.12 \| june 20, 1998 \| kuortane, finland row 14 : 14 \| jani illikainen \| 20.43 \| january 23, 1999 \| haaparanda, sweden row 15 : 15 \| ville tiisanoja \| 20.06 \| july 31, 1999 \| espoo, finland row 16 : 16 \| jarkko haukijarvi \| 20.2 \| july 1, 2000 \| eurajoki, finland row 17 : 17 \| tepa reinikainen \| 20.01 \| february 13, 2000 \| kuopio, finland row 18 : 18 \| conny karlsson \| 20.45 \| may 31, 2001 \| espoo, finland row 19 : 19 \| robert haggblom \| 20.13 \| may 20, 2006 \| halle, germany row 20 : 20 \| mika vasara \| 20.04 \| june 4, 2006 \| leppavirta, finland ] Execute this SQL based on the above table: select location where date > ( select date where location = 'halle, germany' ) order by date limit 1	leppavirta, finland
[ header: year \| single \| chart \| position row 1 : 1986 \| "best of both worlds" \| album rock tracks \| 12 row 2 : 1986 \| "dreams" \| album rock tracks \| 6 row 3 : 1986 \| "dreams" \| billboard hot 100 \| 22 row 4 : 1986 \| "love walks in" \| album rock tracks \| 4 row 5 : 1986 \| "love walks in" \| billboard hot 100 \| 22 row 6 : 1986 \| "summer nights" \| album rock tracks \| 33 row 7 : 1986 \| "why can't this be love" \| album rock tracks \| 1 row 8 : 1986 \| "why can't this be love" \| billboard hot 100 \| 3 ] Execute this SQL based on the above table: select chart order by position desc limit 1	album rock tracks
[ header: year \| position row 1 : 1957 \| did not enter row 2 : 1959 \| did not enter row 3 : 1962 \| did not enter row 4 : 1963 \| did not enter row 5 : 1965 \| did not enter row 6 : 1968 \| did not qualify row 7 : 1970 \| did not qualify row 8 : 1972 \| round 1 row 9 : 1974 \| withdrew row 10 : 1976 \| did not qualify row 11 : 1978 \| did not qualify row 12 : 1980 \| did not qualify row 13 : 1982 \| did not qualify row 14 : 1984 \| round 1 row 15 : 1986 \| did not qualify row 16 : 1988 \| did not qualify row 17 : 1990 \| withdrew row 18 : 1992 \| did not qualify row 19 : 1994 \| withdrew during qualifying row 20 : 1996 \| did not qualify row 21 : 1998 \| round 1 row 22 : 2000 \| round 1 row 23 : 2002 \| round 1 row 24 : 2004 \| did not qualify row 25 : 2006 \| round 1 row 26 : 2008 \| did not qualify row 27 : 2010 \| withdrew due to rebel attack row 28 : 2012 \| did not qualify row 29 : 2013 \| quarter-final ] Execute this SQL based on the above table: select year where position = 'did not enter'	1957, 1959, 1962, 1963, 1965
[ header: first name \| surname \| death year \| beginning of service \| end of service \| notes row 1 : pilzbach \| johann adam \| 1802 \| 1772 \| 1776 \| None row 2 : fritsch \| lorenz \| None \| 1794 \| 1798 \| None row 3 : aizele \| matthias \| 1856 \| 1812 \| 1836 \| None row 4 : bottka \| paul \| 1872 \| 1836 \| 1845 \| None row 5 : bartl \| anton \| 1897 \| 1870 \| 1893 \| None row 6 : loschardt \| ferdinand \| 1914 \| 1893 \| 1899 \| None row 7 : gehl \| othmar \| 1951 \| 1892 \| 1903 \| None row 8 : schutz \| nikolaus \| None \| 1899 \| 1901 \| None row 9 : eisele \| matthias \| 1944 \| 1901 \| 1906 \| None row 10 : dietl \| august gustav \| 1928 \| 1901 \| 1912 \| None row 11 : misenko \| josef \| None \| 1902 \| 1909 \| None row 12 : palya \| matthias \| 1915 \| 1903 \| 1915 \| None row 13 : elsner \| josef \| 1965 \| 1911 \| 1926 \| None row 14 : schrotz \| stefan \| 1967 \| 1912 \| 1923 \| None row 15 : fulda \| paul \| None \| 1922 \| None \| None row 16 : rudolf \| josef \| None \| 1912 \| 1921 \| None row 17 : waltner \| josef \| 1986 \| 1920 \| 1923 \| None row 18 : szekely \| franz \| None \| 1923 \| 1930 \| None row 19 : lischerong \| matthias \| 1950 \| 1925 \| 1950 \| None row 20 : strubert \| peter \| 1956 \| 1924 \| 1932 \| None row 21 : lindnder \| wendelin \| None \| 1925 \| 1929 \| None row 22 : juhasz \| tibor \| None \| 1930 \| 1938 \| None row 23 : benz \| johannes \| 1985 \| 1936 \| 1942 \| None row 24 : hardt \| alfons \| None \| 1927 \| 1930 \| None row 25 : hampel \| karl \| None \| 1934 \| 1937 \| None row 26 : willw \| andreas \| None \| 1941 \| 1946 \| None row 27 : gerstenengst \| josef \| 1992 \| 1946 \| 1958 \| None row 28 : lackner \| paul \| 1987 \| 1946 \| 1987 \| None row 29 : borth \| nikolaus pater gottfried \| None \| 1958 \| 1959 \| None row 30 : neu \| anton \| None \| 1963 \| 1965 \| None row 31 : fritz \| anton \| None \| 1972 \| 1974 \| None row 32 : hajdu \| josef \| None \| 1974 \| 1976 \| None row 33 : hoher \| otto \| 2006 \| 1976 \| 1978 \| None row 34 : nagy \| carol \| None \| 1979 \| 1987 \| None row 35 : mutiu \| petru \| None \| 1983 \| None \| None row 36 : matei \| peter gottlieb \| None \| 1983 \| 1988 \| None row 37 : pal \| jozsef csaba \| None \| 1987 \| None \| None row 38 : szocs \| laszlo \| None \| 1987 \| 1988 \| None row 39 : catici \| gheorghe \| None \| 1988 \| 1992 \| None row 40 : balogh \| andras \| None \| 1988 \| 1989 \| None row 41 : ebenspanger \| ferenc \| None \| 1989 \| 1990 \| None row 42 : debert \| reiner \| None \| 1993 \| 1994 \| None row 43 : conceanga \| ulderic \| None \| 1997/2001 \| 2003 \| None row 44 : tampu \| petru \| None \| 1999 \| 2001 \| None row 45 : rebegila \| petru \| None \| 2004 \| 2006 \| None ] Execute this SQL based on the above table: select count ( * ) where first name = 'bartl' and death year >= 'None'	0
[ header: rank \| name \| height ft / m \| floors \| year \| notes row 1 : 1 \| rhodes state office tower \| 629 / 192 \| 41 \| 1973 \| has been the tallest building in columbus row 2 : 2 \| leveque tower \| 555 / 169 \| 47 \| 1927 \| tallest building constructed in columbus in the row 3 : 3 \| william green building \| 530 / 162 \| 33 \| 1990 \| tallest building constructed in columbus in the row 4 : 4 \| huntington center \| 512 / 156 \| 37 \| 1984 \| tallest building constructed in columbus in the row 5 : 5 \| vern riffe state office tower \| 503 / 153 \| 32 \| 1988 \| None row 6 : 6 \| one nationwide plaza \| 485 / 148 \| 40 \| 1976 \| None row 7 : 7 \| franklin county courthouse \| 464 / 141 \| 27 \| 1991 \| None row 8 : 8 \| aep building \| 456 / 139 \| 31 \| 1983 \| None row 9 : 9 \| borden building \| 438 / 134 \| 34 \| 1974 \| None row 10 : 10 \| three nationwide plaza \| 408 / 124 \| 27 \| 1989 \| None row 11 : 11 \| one columbus center \| 366 / 112 \| 26 \| 1987 \| None row 12 : 12 \| columbus center \| 357 / 109 \| 25 \| 1964 \| tallest building constructed in columbus in the row 13 : 13 \| capitol square \| 350 / 107 \| 26 \| 1984 \| None row 14 : 14 \| continental center \| 348 / 106 \| 26 \| 1973 \| None row 15 : 15 \| pnc bank building \| 317 / 97 \| 25 \| 1977 \| None row 16 : 16 \| miranova condominiums \| 314 / 96 \| 26 \| 2001 \| tallest residential building in the state of o row 17 : 17 \| fifth third center \| 302 / 92 \| 25 \| 1998 \| None row 18 : 18 \| motorists mutual building \| 286 / 87 \| 21 \| 1973 \| None row 19 : 19 \| midland building \| 280 / 85 \| 21 \| 1970 \| None row 20 : 20 \| the condominiums at north bank park \| 267 / 81 \| 20 \| 2007 \| None row 21 : 21= \| lincoln tower dormitory \| 260 / 79 \| 26 \| 1967 \| None row 22 : 21= \| morrill tower dormitory \| 260 / 79 \| 26 \| 1967 \| None row 23 : 23 \| hyatt regency columbus \| 256 / 78 \| 20 \| 1980 \| None row 24 : 24 \| key bank building \| 253 / 77 \| 20 \| 1963 \| None row 25 : 25 \| adam's mark hotel \| 243 / 74 \| 16 \| 1961 \| None row 26 : 26 \| town center \| 226 / 69 \| 17 \| 1974 \| None row 27 : 27 \| 8 east broad street \| 212 / 64.6 \| 17 \| 1906 \| None row 28 : 28 \| huntington building \| 202 / 59.4 \| 13 \| 1926 \| None row 29 : 29 \| ohio judicial center \| 200 / 57.9 \| 14 \| 1933 \| None row 30 : 30 \| 16 east broad street \| 180 / 64.4 \| 13 \| 1900 \| None ] Execute this SQL based on the above table: select name where id = ( select id where name = 'huntington center' ) - 1	william green building
[ header: \| name \| distance \| date \| location row 1 : 1 \| seppo simola \| 20.15 \| july 19, 1972 \| turku, finland row 2 : 2 \| matti yrjola \| 20.04 \| august 2, 1972 \| hameenkyro, f row 3 : 3 \| bo grahn \| 20.09 \| august 3, 1972 \| helsinki, finland row 4 : 4 \| reijo stahlberg \| 20.38 \| july 26, 1973 \| turku, finland row 5 : 5 \| markku tuokko \| 20.03 \| august 18, 1979 \| mikkeli, finland row 6 : 6 \| aulis akonniemi \| 20.12 \| july 25, 1982 \| ahtari, finland row 7 : 7 \| janne ronkainen \| 20.02 \| may 11, 1986 \| leselidse, soviet union row 8 : 8 \| jari kuoppa \| 20.17 \| june 12, 1986 \| ahtari, finland row 9 : 9 \| kari toyryla \| 20.05 \| july 2, 1986 \| kauhajoki, finland row 10 : 10 \| markus koistinen \| 20.31 \| june 13, 1993 \| luumaki, finland row 11 : 11 \| mika halvari \| 20.08 \| august 4, 1993 \| kotka, finland row 12 : 12 \| arsi harju \| 20.16 \| march 2, 1997 \| tampere, finland row 13 : 13 \| timo aaltonen \| 20.12 \| june 20, 1998 \| kuortane, finland row 14 : 14 \| jani illikainen \| 20.43 \| january 23, 1999 \| haaparanda, sweden row 15 : 15 \| ville tiisanoja \| 20.06 \| july 31, 1999 \| espoo, finland row 16 : 16 \| jarkko haukijarvi \| 20.2 \| july 1, 2000 \| eurajoki, finland row 17 : 17 \| tepa reinikainen \| 20.01 \| february 13, 2000 \| kuopio, finland row 18 : 18 \| conny karlsson \| 20.45 \| may 31, 2001 \| espoo, finland row 19 : 19 \| robert haggblom \| 20.13 \| may 20, 2006 \| halle, germany row 20 : 20 \| mika vasara \| 20.04 \| june 4, 2006 \| leppavirta, finland ] Execute this SQL based on the above table: select location order by name desc limit 1	espoo, finland
[ header: # \| player \| country \| score \| to par \| money ($) row 1 : 1 \| shirley englehorn \| united states \| 70-70-75-70=285 \| -7 \| 4,500 row 2 : 2 \| kathy whitworth \| united states \| 69-71-73-72=2 \| -7 \| 3,410 row 3 : 3 \| sandra palmer \| united states \| 73-72-73-70=2 \| -4 \| 2,600 row 4 : 4 \| murle breer \| united states \| 75-71-70-74=290 \| -2 \| 2,150 row 5 : 5 \| sharon miller \| united states \| 74-74-72-71=2 \| -1 \| 1,800 row 6 : t6 \| joanne carner \| united states \| 71-76-70-75=292 \| e \| 1,400 row 7 : t6 \| sandra haynie \| united states \| 73-72-72-75=29 \| e \| 1,400 row 8 : t8 \| gerda boykin \| west germany \| 73-73-73-74=2 \| +1 \| 1,050 row 9 : t8 \| sharron moran \| united states \| 73-71-75-74=2 \| +1 \| 1,050 row 10 : t8 \| marilynn smith \| united states \| 74-69-73-77=2 \| +1 \| 1,050 ] Execute this SQL based on the above table: select # where id = ( select id where # = 't8' ) - 1	t6
[ header: year \| title \| role \| notes row 1 : 1941 \| the maltese falcon \| kasper gutman \| nominated - academy award for best supporting row 2 : 1941 \| they died with their boots on \| lt. gen. winfield \| None row 3 : 1942 \| across the pacific \| dr. lorenz \| None row 4 : 1942 \| casablanca \| signor ferrari \| None row 5 : 1943 \| background to danger \| col. robinson \| None row 6 : 1944 \| passage to marseille \| major duval \| None row 7 : 1944 \| between two worlds \| rev. tim thompson \| None row 8 : 1944 \| the mask of dimitrios \| mr. peters \| None row 9 : 1944 \| the conspirators \| ricardo quintanilla \| None row 10 : 1944 \| hollywood canteen \| himself \| None row 11 : 1945 \| pillow to post \| col. michael otley \| None row 12 : 1945 \| conflict \| dr. mark hamilton \| None row 13 : 1945 \| christmas in connecticut \| alexander yardley \| None row 14 : 1946 \| three strangers \| jerome k. arbutny \| None row 15 : 1946 \| devotion \| william makepeace thacke \| None row 16 : 1946 \| the verdict \| supt. george e \| None row 17 : 1947 \| that way with women \| james p. alden \| None row 18 : 1947 \| the hucksters \| evan llewellyn \| None row 19 : 1948 \| the velvet touch \| capt. danbury \| None row 20 : 1948 \| ruthless \| buck mansfield \| None row 21 : 1948 \| the woman in white \| count alessandro fosco \| None row 22 : 1949 \| flamingo road \| sheriff titus semple \| None row 23 : 1949 \| malaya \| the dutchman \| None ] Execute this SQL based on the above table: select count ( title ) where role = 1730	0
[ header: rank \| name \| nation(s) \| born \| ascended \| years reigned row 1 : 1 \| bhumibol adulya \| thailand \| 5 december 1927 \| 9 june 1946 \| 68 years, 3 days row 2 : 7 \| qaboos bin said al said \| oman \| 18 november 1940 \| 23 july 1970 \| 43 years, 324 days row 3 : 10 \| carl xvi gustaf \| sweden \| 30 april 1946 \| 15 september 1973 \| 40 years, 270 days row 4 : 16 \| mswati iii \| swaziland \| 19 april 1968 \| 25 april 1986 \| 28 years, 48 days row 5 : 17 \| akihito \| japan \| 23 december 1933 \| 7 january 1989 \| 25 years, 156 days row 6 : 19 \| hans-adam ii \| liechtenstein \| 14 february 1945 \| 13 november 1989 \| 24 years, 211 days row 7 : 21 \| harald v \| norway \| 21 february 1937 \| 17 january 1991 \| 23 years, 146 days row 8 : 24 \| mizan zainal abidin \| terengganu (malaysia \| 22 january 1962 \| 15 may 1998 \| 16 years, 28 days row 9 : 25 \| abdullah ii \| jordan \| 30 january 1962 \| 7 february 1999 \| 15 years, 125 days row 10 : 26 \| hamad bin isa al k \| bahrain \| 28 january 1950 \| 6 march 1999 \| 15 years, 98 days row 11 : 30 \| tuanku syed sir \| perlis (malaysia) \| 16 may 1943 \| 17 april 2000 \| 14 years, 56 days row 12 : 31 \| henri \| luxembourg \| 16 april 1955 \| 7 october 2000 \| 13 years, 248 days row 13 : 33 \| norodom sihamoni \| cambodia \| 14 may 1953 \| 14 october 2004 \| 9 years, 241 days row 14 : 37 \| mohammed bin rashid al ma \| dubai (united arab emir \| 22 july 1949 \| 4 january 2006 \| 8 years, 159 days row 15 : 39 \| tuheitia paki \| maori king (new zealand \| 21 april 1955 \| 21 august 2006 \| 7 years, 295 days row 16 : 41 \| kapiliele faupala \| wallis island (uvea) (wall \| 1940 \| 25 june 2008 \| 5 years, 352 days row 17 : 45 \| ibrahim ismail \| johor (malaysia \| 22 november 1958 \| 22 january 2010 \| 4 years, 141 days row 18 : 47 \| muhammad v \| kelantan (malaysia \| 6 october 1969 \| 13 september 2010 \| 3 years, 272 days row 19 : 49 \| tupou vi \| tonga \| 12 july 1959 \| 18 march 2012 \| 2 years, 86 days row 20 : 50 \| francis \| vatican city \| 17 december 1936 \| 13 march 2013 \| 1 year, 91 days row 21 : 51 \| willem-alexander \| netherlands \| 27 april 1967 \| 30 april 2013 \| 1 year, 43 days row 22 : 53 \| philippe \| belgium \| 15 april 1960 \| 21 july 2013 \| 0 years, 326 days ] Execute this SQL based on the above table: select count ( name ) where rank > 684	0
[ header: # \| prime minister \| date of birth \| start date of (first) term \| age at beginning of (first) term \| end date of (final) term \| total time in office \| date of death \| lifespan row 1 : 1 \| edmund barton \| 18 january 1849 \| 1-jan-01 \| 51 years, 348 days \| 24-sep-03 \| 996 days \| 7-jan-20 \| 25,920 days (70 years, 354 days row 2 : 2 \| alfred deakin \| 3 august 1856 \| 24-sep-03 \| 47 years, 52 days \| 29-apr-10 \| 1,774 days \| 7-oct-19 \| 23,074 days (63 years, 65 days row 3 : 3 \| chris watson \| 9 april 1867 \| 27-apr-04 \| 37 years, 18 days \| 18-aug-04 \| 113 days \| 18-nov-41 \| 27,251 days (74 years, 223 row 4 : 4 \| george reid \| 25 february 1845 \| 18-aug-04 \| 59 years, 175 days \| 5-jul-05 \| 321 days \| 12-sep-18 \| 26,861 days (73 years, 199 row 5 : 7 \| billy hughes \| 25 september 1862 \| 27-oct-15 \| 53 years, 32 days \| 9-feb-23 \| 2,662 days \| 28-oct-52 \| 32,905 days (90 years, 33 row 6 : 8 \| stanley bruce \| 15 april 1883 \| 9-feb-23 \| 39 years, 300 days \| 22-oct-29 \| 2,447 days \| 25-aug-67 \| 30,812 days (84 years, 132 row 7 : 9 \| james scullin \| 18 september 1876 \| 22-oct-29 \| 53 years, 34 days \| 6-jan-32 \| 806 days \| 28-jan-53 \| 27,890 days (76 years, 132 row 8 : 10 \| joseph lyons \| 15 september 1879 \| 6-jan-32 \| 52 years, 113 days \| 7-apr-39 \| 2,648 days \| 7-apr-39 \| 21,753 days (59 years, 204 row 9 : 11 \| earle page \| 8 august 1880 \| 7-apr-39 \| 58 years, 242 days \| 26-apr-39 \| 19 days \| 20-dec-61 \| 29,718 days (81 years, 134 row 10 : 12 \| robert menzies \| 20 december 1894 \| 26-apr-39 \| 44 years, 127 days \| 26-jan-66 \| 6,735 days \| 15-may-78 \| 30,461 days (83 years, 146 row 11 : 14 \| john curtin \| 8 january 1885 \| 7-oct-41 \| 56 years, 272 days \| 5-jul-45 \| 1,367 days \| 5-jul-45 \| 22,092 days (60 years, 178 row 12 : 15 \| frank forde \| 18 july 1890 \| 6-jul-45 \| 54 years, 353 days \| 13-jul-45 \| 7 days \| 28-jan-83 \| 33,796 days (92 years, 19 row 13 : 16 \| ben chifley \| 22 september 1885 \| 13-jul-45 \| 59 years, 294 days \| 19-dec-49 \| 1,620 days \| 13-jun-51 \| 24,004 days (65 years, 264 row 14 : 17 \| harold holt \| 5-aug-08 \| 26-jan-66 \| 57 years, 174 days \| 19-dec-67 \| 690 days \| 17-dec-67 \| 21,683 days (59 years, 134 ] Execute this SQL based on the above table: select count ( date of death )	14
[ 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 women's winner group by women's winner having count ( * ) > 1	aniko kalovics (hun), beata rakonczai (hun), krisztina papp (hun)
[ header: institution \| location \| enrollment \| nickname \| varsity sports \| rugby since \| head coach row 1 : clemson university \| clemson, south carolina \| 20576 \| tigers \| 19 \| 1967 \| justin hickey row 2 : maryland \| college park, maryland \| 37641 \| terrapins \| 20 \| 1968 \| jeff soeken row 3 : navy \| annapolis, maryland \| 4576 \| midshipmen \| 30 \| 1963 \| mike flanagan row 4 : north carolina \| chapel hill, north carolina \| 29340 \| tar heels \| 28 \| 1966 \| pete earsman row 5 : north carolina state \| raleigh, north carolina \| 34767 \| wolfpack \| 25 \| 1965 \| jim latham row 6 : university of virginia \| charlottesville, virginia \| 20895 \| cavaliers \| 25 \| 1961 \| jon roberts row 7 : virginia tech \| blacksburg, virginia \| 30379 \| hokies \| 21 \| 1891 / 1968 \| andy richards row 8 : wake forest \| winston-salem, north car \| 7079 \| demon deacons \| 18 \| 1973 \| patrick kane ] Execute this SQL based on the above table: select ( select max ( enrollment ) ) - ( select min ( enrollment ) )	33065.0
[ header: year \| order \| quantity \| ger nos. row 1 : 1893 \| n31 \| 1 \| 999 row 2 : 1893 \| h33 \| 10 \| 979-988 row 3 : 1894 \| l33 \| 10 \| 989-998 row 4 : 1894 \| e34 \| 10 \| 969-978 row 5 : 1896 \| n37 \| 10 \| 959-968 row 6 : 1897 \| h40 \| 10 \| 949-958 row 7 : 1897 \| o41 \| 10 \| 602-608, 946-948 row 8 : 1898 \| g42 \| 10 \| 542-551 row 9 : 1898 \| k43 \| 10 \| 562-571 ] Execute this SQL based on the above table: select ( select year where order = 'h40' ) - ( select year where order = 'l33' )	3
[ header: name \| railway \| series \| maker \| dates \| drive \| wheel arrangement \| weight \| power \| notes row 1 : re 465 \| bls, switzerland \| re 465 001-465 00 \| slm, abb \| 1994-97 \| electric \| bo-bo \| 84 t \| 9,520 horsepower (7,099 kw \| most powerful locomotive with only four axles, similar row 2 : prr gg1 \| pennsylvania rail road ( \| 4800-4938, 900-929 \| altoona works, general electric \| 1934-43 \| electric \| 2-c+c-2 (4-6-6-4) \| 208.9 to 216.4 \| 4,629 horsepower (3,452 k \| most scrapped; the prototype and 15 production locomotive row 3 : allegheny \| chesapeake and ohi \| 1600-1659 (c&o), 900 \| lima locomotive works \| 1941-48 \| steam \| 2-6-6-6 \| 544 t \| 7,500 horsepower (5,593 kw \| two on static display row 4 : 060-ea softronic phoen \| romanian railways (cfr) \| 001, 2001-2004 \| softronic craiova \| 2009-present \| electric \| co'co' \| 120 t \| 8,851 horsepower (6,600 kw \| most powerful locomotive with highest continuous tractive effort row 5 : jr freight class ef200 \| jr freight \| None \| hitachi ltd \| 1990- \| electric \| bo'bo'bo' \| 100.8 t \| 8,046 horsepower (6,000 kw) \| most powerful single-frame narrow-gauge locomotive row 6 : china railways hxn5 \| china railways \| hxn50001-hxn \| ge, csr qishu \| 2008- \| diesel-electric \| co'co' \| 150 t \| 6,250 horsepower (4,661 kw \| most powerful diesel-electric locomotive in active production row 7 : china railways hxd1b \| china railways \| hxd1b0001-h \| csr zhuzhou electric \| 2009- \| electric \| co'co' \| 150 t \| 12,874 horsepower (9,600 kw \| most powerful single-frame locomotive in series production row 8 : china railways hxd2b \| china railways \| hxd2b0001-h \| datong electric locomotive, alstom \| 2009- \| electric \| co'co' \| 150 t \| 12,874 horsepower (9,600 kw \| most powerful single-frame locomotive in series production row 9 : china railways hxd1c \| china railways \| hxd1c0001-h \| csr zhuzhou electric \| 2009- \| electric \| co'co' \| 150 t \| 9,655 horsepower (7,200 kw \| None ] Execute this SQL based on the above table: select weight - weight	0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0
[ header: county \| km \| intersecting road \| notes \| coordinates row 1 : rocky view county \| 0 \| hwy 772 (symon \| north to madden south to sage hill \| 51°13′4′′n 114° row 2 : rocky view county \| 3 \| panorama road (24 street nw), range \| south to evanston \| 51°12′45′′n 114° row 3 : rocky view county \| 5 \| 14 street nw, range road 14 \| south to panorama hills \| 51°12′45′′n 114° row 4 : rocky view county \| 7 \| centre street n, range road 13 \| formerly highway 782 south to coventry \| 51°12′45′′n 114° row 5 : rocky view county \| 10 \| 15 street ne (calgary), \| balzac south to stony industrial \| 51°12′45′′n 114° row 6 : rocky view county \| 11 \| hwy 2, range road 10, fifth \| grade separated north to airdrie south to de \| 51°12′45′′n 114° row 7 : rocky view county \| 13 \| range road 293, 36 street ne \| crossiron mills shopping centre south to ston \| 51°12′45′′n 113° row 8 : rocky view county \| 18 \| range road 290, 84 street n \| None \| 51°12′45′′n 113° row 9 : rocky view county \| 28 \| hwy 791, range road \| south to delacour \| 51°12′45′′n 113° row 10 : rocky view county \| 32 \| range road 273 \| kathyrn \| 51°12′45′′n 113° row 11 : rocky view county \| 34 \| hwy 9, range road 272 \| north to irricana south to langdon \| 51°12′45′′n 113° row 12 : rocky view county \| 36 \| 1 avenue, range road 271 \| keoma \| 51°12′45′′n 113° ] Execute this SQL based on the above table: select km where km = 7	7
[ header: pick # \| nfl team \| player \| position \| college row 1 : 417 \| buffalo bills \| wayne lineberry \| linebacker \| east carolina row 2 : 418 \| atlanta falcons \| paul williams \| running back \| california row 3 : 419 \| philadelphia eagles \| bob haack \| tackle \| linfield (ore.) row 4 : 420 \| pittsburgh steelers \| bill eppright \| kicker \| kent state row 5 : 421 \| cincinnati bengals \| terry story \| tackle \| georgia tech row 6 : 422 \| boston patriots \| george muse \| linebacker \| grambling row 7 : 423 \| new orleans saints \| chico kurzawski \| defensive back \| northwestern row 8 : 424 \| detroit lions \| gary steele \| tight end \| army row 9 : 425 \| denver broncos \| buster o'brien \| quarterback \| richmond row 10 : 426 \| washington redskins \| rich dobbert \| defensive end \| springfield (mass.) row 11 : 427 \| miami dolphins \| tom krallman \| defensive end \| xavier row 12 : 428 \| green bay packers \| john mack \| running back \| central missouri row 13 : 429 \| new york giants \| ken riley \| linebacker \| texas-arlington row 14 : 430 \| houston oilers \| hank autry \| center \| southern mississippi row 15 : 431 \| chicago bears \| bob long \| wide receiver \| texas a&m row 16 : 432 \| san francisco 49ers \| joe rushing \| linebacker \| memphis state row 17 : 433 \| minnesota vikings \| wendell housely \| running back \| texas a&m row 18 : 434 \| san diego chargers \| larry rentz \| defensive back \| florida row 19 : 435 \| st. louis cardinals \| george hummer \| center \| arizona state row 20 : 436 \| cleveland browns \| bob oliver \| defensive end \| abilene christian row 21 : 437 \| los angeles rams \| jim thorpe \| defensive back \| hofstra row 22 : 438 \| kansas city chiefs \| ralph jenkins \| defensive back \| tuskegee row 23 : 439 \| dallas cowboys \| bill bailey \| defensive tackle \| lewis & clark row 24 : 440 \| oakland raiders \| billy austin \| tight end \| arkansas am&n row 25 : 441 \| baltimore colts \| joe cowan \| wide receiver \| johns hopkins row 26 : 442 \| new york jets \| fred zirkie \| defensive tackle \| duke ] Execute this SQL based on the above table: select count ( * ) where pick # < 436 and player <= 1616	0
[ 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 role where notes = 'first debut film in tollywood'	charu sen
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 30 may 1928 \| olympic stadium (amsterdam \| mexico \| 1-0 \| 7-1 \| 1928 summer olympics row 2 : 2 \| 30 may 1928 \| olympic stadium (amsterdam \| mexico \| 3-0 \| 7-1 \| 1928 summer olympics row 3 : 3 \| 22 june 1930 \| bologna, italy \| italy \| 1-0 \| 3-2 \| friendly row 4 : 4 \| 22 june 1930 \| bologna, italy \| italy \| 3-1 \| 3-2 \| friendly row 5 : 5 \| 13 december 1931 \| dublin, ireland \| ireland \| 3-0 \| 5-0 \| friendly row 6 : 6 \| 13 december 1931 \| dublin, ireland \| ireland \| 5-0 \| 5-0 \| friendly row 7 : 7 \| 24 april 1932 \| oviedo, spain \| yugoslavia \| 1-0 \| 2-1 \| friendly row 8 : 8 \| 21 june 1933 \| madrid, spain \| bulgaria \| 8-0 \| 13-0 \| friendly row 9 : 9 \| 21 june 1933 \| madrid, spain \| bulgaria \| 12-0 \| 13-0 \| friendly row 10 : 10 \| 11 march 1934 \| madrid, spain \| portugal \| 4-0 \| 9-0 \| 1934 world cup qualifier row 11 : 11 \| 11 march 1934 \| madrid, spain \| portugal \| 6-0 \| 9-0 \| 1934 world cup qualifier row 12 : 12 \| 21 june 1934 \| firenze, italy \| italy \| 1-0 \| 1-1 \| 1934 fifa world cup row 13 : 13 \| 24 january 1935 \| madrid, spain \| bulgaria \| 1-0 \| 2-0 \| friendly row 14 : 14 \| 19 january 1936 \| madrid, spain \| austria \| 2-4 \| 4-5 \| friendly row 15 : 15 \| 19 january 1936 \| madrid, spain \| austria \| 4-4 \| 4-5 \| friendly row 16 : 16 \| 23 february 1936 \| barcelona, spain \| germany \| 1-2 \| 1-2 \| friendly ] Execute this SQL based on the above table: select count ( * ) where score = '12-0'	1
[ header: tie \| home team \| score \| away team \| attendance row 1 : 1 \| aylesbury united \| 2-2 \| windsor & eton \| 847 row 2 : 2 \| burscough \| 5-0 \| wakefield & emley \| 437 row 3 : 3 \| dover athletic \| 0-3 \| forest green roves \| 932 row 4 : 4 \| farnborough town \| 2-0 \| halifax town \| 863 row 5 : 5 \| gloucester city \| 1-1 \| southport \| 1,237 row 6 : 6 \| havant & waterlooville \| 3-0 \| hayes \| 456 row 7 : 7 \| margate \| 0-2 \| tamworth \| 971 row 8 : 8 \| yeovil town \| 2-1 \| northwich victoria \| 4,469 ] Execute this SQL based on the above table: select count ( home team ) where away team = 'southport'	1
[ header: year \| title \| us hot 100 \| us modern rock \| us mainstream rock \| album row 1 : 1994 \| "neenah menasha" \| None \| None \| None \| rotting pinata row 2 : 1994 \| "plowed" \| None \| 5 \| 9 \| rotting pinata row 3 : 1995 \| "molly (16 candles down the drain)" \| 55 \| 3 \| 11 \| rotting pinata row 4 : 1995 \| "rainin'" \| None \| 34 \| 18 \| rotting pinata row 5 : 1996 \| "wax ecstatic (to \| None \| 15 \| 11 \| wax ecstatic row 6 : 1997 \| "have you seen mary" \| None \| None \| 7 \| wax ecstatic row 7 : 1999 \| "live here without you" \| None \| None \| None \| new pop sunday row 8 : 1999 \| "1000 times" \| None \| None \| None \| new pop sunday row 9 : 2003 \| "treat me wrong" \| None \| None \| None \| for all the drugs in the world row 10 : 2003 \| "leave this world" \| None \| None \| None \| for all the drugs in the world row 11 : 2005 \| "the man" \| None \| None \| None \| the man row 12 : 2005 \| "higher (part 1)" \| None \| None \| None \| the man row 13 : 2009 \| "come in from the rain" \| None \| None \| None \| destroy the boy ep row 14 : 2010 \| "destroy the boy" \| None \| None \| None \| destroy the boy ep row 15 : 2013 \| "fade from view" \| None \| None \| None \| stop the bleeding row 16 : 2013 \| "lifes bitter pills" \| None \| None \| None \| stop the bleeding ] Execute this SQL based on the above table: select count ( album ) where year < 7	0
[ header: year of election \| candidates elected \| # of seats available \| # of votes \| % of popular vote row 1 : 1963 \| 7 \| 108 \| None \| 15.5% row 2 : 1967 \| 20 \| 117 \| None \| 25.9% row 3 : 1971 \| 19 \| 117 \| None \| 27.1% row 4 : 1975 \| 38 \| 125 \| None \| 28.9% row 5 : 1977 \| 33 \| 125 \| None \| 28.0% row 6 : 1981 \| 21 \| 125 \| None \| 21.2% row 7 : 1985 \| 25 \| 125 \| 865507 \| 23.8% row 8 : 1987 \| 19 \| 130 \| 970813 \| 25.7% row 9 : 1990 \| 74 \| 130 \| 1509506 \| 37.6% row 10 : 1995 \| 17 \| 129 \| 854163 \| 20.6% row 11 : 1999 \| 9 \| 103 \| 551009 \| 12.6% row 12 : 2003 \| 7 \| 103 \| 660730 \| 14.7% row 13 : 2007 \| 10 \| 107 \| 741043 \| 16.8% row 14 : 2011 \| 17 \| 107 \| 980204 \| 22.73% ] Execute this SQL based on the above table: select year of election where % of popular vote = '25.7%'	1987
[ header: year \| title \| role \| notes row 1 : 1982 \| murder by phone \| teenage girl \| None row 2 : 1985 \| reckless disregard \| sandy \| tv movie row 3 : 1985 \| anne of green gables \| alice lawson \| tv movie row 4 : 1985 \| perry mason returns \| salesgirl \| tv movie row 5 : 1986 \| perry mason: the case of the shooting \| None \| tv movie row 6 : 1986 \| alex: the life of a child \| jane \| tv movie row 7 : 1987 \| smith & smith's comedy mill \| None \| tv series row 8 : 1987 \| deep sea conspiracy \| nurse \| None row 9 : 1987 \| amerika \| sally, vfa \| tv mini-series row 10 : 1987 \| anne of avonlea \| alice lawson \| tv movie row 11 : 1989 \| looking for miracles \| nurse blanche \| tv movie row 12 : 1990-1996 \| road to avonlea \| olivia king dale \| 91 episodes row 13 : 1991 \| a stranger in the family \| mrs. kessler \| tv movie row 14 : 1996 \| goosebumps \| mrs. mathews \| episode: "attack of the mutant" row 15 : 1998 \| happy christmas, miss king \| olivia dale \| tv movie row 16 : 1999 \| shadow lake \| louise garby \| tv movie row 17 : 1999 \| my grandmother ironed the king's \| narrator (voice) \| animated short row 18 : 2000-2001 \| timothy goes to school \| lilly (voice) \| series regular row 19 : 2007 \| bonded pairs \| herself \| short film row 20 : 2011 \| the being frank show \| None \| episode: "1.11" ] Execute this SQL based on the above table: select title where title = 'anne of green gables'	anne of green gables
[ header: symbol \| gsi \| meaning \| unicode \| description row 1 : ◬ \| ○ \| base triangulation surveying point \| u+25ec \| dot in upward-pointing triangle row 2 : None \| ○ \| electronic triangulation point \| None \| dot in upward-pointing triangle with flag row 3 : ⊡ \| ○ \| benchmark \| u+22a1 \| dot in square row 4 : ⛭ \| ○ \| factory \| u+26ed \| gear without hub row 5 : ⛯ \| ○ \| lighthouse \| u+26ef \| map symbol for lighthouse row 6 : ⛮ \| ○ \| power station \| u+26ee \| gear with handles row 7 : 文 \| ○ \| elementary or junior high school \| u+6587 \| kanji bun row 8 : 文 \| ○ \| high school \| None \| kanji bun in a circle row 9 : None \| ○ \| university \| None \| kanji bun with a smaller ka row 10 : None \| ○ \| technical college \| None \| kanji bun with a smaller ka row 11 : 〒 \| ○ \| post office \| u+3036 \| down tack (t-shape row 12 : 〒 \| × \| sub post office (not distribution centre) \| u+3012 \| down tack (t-shape row 13 : ⭙ \| ○ \| police station \| u+2b59 \| heavy circled saltire row 14 : ☓ \| ○ \| koban (police box) \| u+2613 \| diagonal cross (saltire) row 15 : ⊕ \| ○ \| public health centre \| u+2295 \| greek cross in circle row 16 : ⛨ \| ○ \| hospital \| None \| greek cross in shield row 17 : ⭖ \| ○ \| prefectural office \| u+26fb \| oval bullseye row 18 : ⭗ \| ○ \| city hall \| u+2b57 \| heavy circle with circle inside row 19 : ◉ \| ○ \| ward office \| u+25c9 \| fisheye row 20 : ⭘ \| ○ \| town hall \| u+2b58 \| heavy circle row 21 : ⛩ \| ○ \| shinto shrine \| u+26e9 \| shinto shrine row 22 : 卍 \| ○ \| buddhist temple \| u+534d \| manji (swastika) row 23 : ⛫ \| ○ \| castle \| u+26eb \| castle row 24 : ⛼ \| ○ \| cemetery \| u+26fc \| headstone graveyard symbol row 25 : ♨ \| ○ \| onsen (hot springs) \| u+2668 \| oval with three vertical wavy lines row 26 : ⛬ \| ○ \| historical landmark \| u+26ec \| historic site row 27 : ⛰ \| ○ \| summit \| u+26f0 \| mountain ] Execute this SQL based on the above table: select meaning where unicode = 'u+6587'	elementary or junior high school
[ header: rank \| name \| nationality \| time \| notes row 1 : None \| chelsey gotell \| canada \| 2:28.15 \| wr row 2 : None \| kirby cote \| canada \| 2:28.65 \| None row 3 : None \| valerie grand maison \| canada \| 2:29.29 \| None row 4 : 4 \| kelley becherer \| united states \| 2:32.21 \| None row 5 : 5 \| prue watt \| australia \| 2:32.87 \| None row 6 : 6 \| teigan van roosmal \| australia \| 2:39.20 \| None row 7 : 7 \| lidia marta banos \| spain \| 2:48.80 \| None row 8 : 8 \| akari kasamoto \| japan \| 2:55.16 \| None ] Execute this SQL based on the above table: select count ( distinct name )	8
[ header: # \| title \| date \| director \| story \| synopsis \| notes row 1 : 13 \| sacre bleu cross \| february 1, 1967 \| gerry chiniquy \| john w. dunn \| when they go after hassan the ass \| the commissioner does not appear row 2 : 14 \| le quiet squad \| may 17, 1967 \| robert mckimson \| jim ryan \| the commissioner is overworked and needs absolute \| sgt. deux-deux does row 3 : 15 \| bomb voyage \| may 22, 1967 \| robert mckimson \| tony benedict \| the commissioner is kidnapped by alien \| music score is set to ottorin row 4 : 16 \| le pig-al patrol \| may 24, 1967 \| gerry chiniquy \| jim ryan \| the inspector is sent after biker pig al \| sgt. deux-deux does row 5 : 17 \| le bowser bagger \| may 30, 1967 \| gerry chiniquy \| jim ryan \| the inspector is given private bowser, \| sgt. deux-deux does row 6 : 18 \| le escape goat \| june 29, 1967 \| gerry chiniquy \| jim ryan \| after being fired for letting louie le \| sgt. deux-deux does row 7 : 19 \| le cop on le rocks \| july 3, 1967 \| george singer \| jim ryan \| the inspector is sent to prison having been mistaken \| sgt. deux-deux and row 8 : 20 \| crow de guerre \| august 16, 1967 \| gerry chiniquy \| john w. dunn \| the inspector is continually outwitted by a \| sgt. deux-deux and row 9 : 21 \| canadian can-can \| september 20, 1967 \| gerry chiniquy \| john w. dunn \| sent to canada on an exchange programme, the inspector \| sgt. deux-deux does row 10 : 22 \| tour de farce \| october 25, 1967 \| gerry chiniquy \| jim ryan \| through his own mistake, the inspector is strand \| sgt. deux-deux and row 11 : 23 \| the shooting of caribou lou \| december 20, 1967 \| gerry chiniquy \| john w. dunn \| on holiday in canada as a mountie \| sgt. deux-deux and ] Execute this SQL based on the above table: select date where date < ( select date where date = 'may 22, 1967' ) order by date desc limit 1	may 17, 1967
[ header: protein \| natural host \| normal function \| prion state \| prion phenotype \| year identified row 1 : ure2p \| saccharomyces cerevisiae \| nitrogen catabolite repressor \| [ure3] \| growth on poor nitrogen sources \| 1994 row 2 : sup35p \| saccharomyces cerevisiae \| translation termination factor \| [psi+] \| increased levels of nonsense suppression \| 1994 row 3 : het-s \| podospora anserina \| regulates heterokaryon incompatibility \| [het-s] \| heterokaryon formation between incompatible strains \| 1997 row 4 : vacuolar protease b \| saccharomyces cerevisiae \| death in stationary phase, failure in meio \| [β] \| failure to degrade cellular proteins under n \| 2003 row 5 : map kinases \| podospora anserina \| increased pigment, slow growth \| [c] \| None \| 2006 row 6 : rnq1p \| saccharomyces cerevisiae \| protein template factor \| [rnq+],[pin+] \| promotes aggregation of other prions \| 2008 row 7 : mca1 \| saccharomyces cerevisiae \| putative yeast caspase \| [mca+] \| None \| 2008 row 8 : swi1 \| saccharomyces cerevisiae \| chromatin remodeling \| [swi+] \| poor growth on some carbon sources \| 2008 row 9 : cyc8 \| saccharomyces cerevisiae \| transcriptional repressor \| [oct+] \| transcriptional derepression of multiple genes \| 2009 row 10 : mot3 \| saccharomyces cerevisiae \| nuclear transcription factor \| [mot3+] \| transcriptional derepression of anaero \| 2009 row 11 : pma1+std1 \| saccharomyces cerevisiae \| pma1 = major plasma membrane proton pump \| [gar+] \| resistant to glucose-associated repression \| 2009 row 12 : sfp1 \| saccharomyces cerevisiae \| global transcriptional regulator \| [isp+] \| antisuppressor of certain sup \| 2010 row 13 : mod5 \| saccharomyces cerevisiae \| None \| [mod+] \| None \| 2012 ] Execute this SQL based on the above table: select count ( * ) where natural host = 'saccharomyces cerevisiae'	11
[ header: match \| team \| result points \| match status \| opposition strength \| regional strength \| ranking points row 1 : amplistan vs. bestrudi \| amplistan bestrudia \| 0 3 \| 1.0 1.0 \| 0.50 1.98 \| 0.94 0.94 \| 0 558 row 2 : amplistan vs. bestrudi \| amplistan bestrudia \| 1 1 \| 1.0 1.0 \| 0.50 1.98 \| 0.94 0.94 \| 47 186 row 3 : amplistan vs. bestrudi \| amplistan bestrudia \| 3 0 \| 4.0 4.0 \| 0.50 1.98 \| 0.94 0.94 \| 564 0 row 4 : amplistan vs. bestrudi \| amplistan bestrudia \| 1 2 \| 4.0 4.0 \| 0.50 1.98 \| 0.94 0.94 \| 188 1488 row 5 : amplistan vs. conesto \| amplistan conesto \| 0 3 \| 1.0 1.0 \| 1.61 1.98 \| 0.99 0.99 \| 0 588 row 6 : conesto vs. delphi \| conesto delphiz \| 3 0 \| 2.5 2.5 \| 1.70 1.61 \| 0.96 0.96 \| 1224 0 row 7 : conesto vs. delphi \| conesto delphiz \| 0 3 \| 2.5 2.5 \| 1.70 1.61 \| 0.96 0.96 \| 0 1159 row 8 : conesto vs. amplistan \| conesto amplistan \| 1 2 \| 4.0 4.0 \| 1.98 1.61 \| 0.99 0.99 \| 784 1275 ] Execute this SQL based on the above table: select count ( distinct regional strength )	3
[ header: typ \| construction time \| cylinders \| capacity \| power \| top speed row 1 : vis-a-vis \| 1900-1903 \| 1 \| 400 cc \| 2,6 kw (3,5 p \| 30 km/h (19 mph) row 2 : 45 ps (33 kw; \| 1900-1903 \| 1 \| 510 cc \| 3,3 kw (4,5 ps \| 35 km/h (22 mph) row 3 : 24/28 ps \| 1904-1905 \| 4 inline \| 4,016 cc \| 20,6 kw (28 ps \| 65 km/h (40 mph) row 4 : 8/12 (8/14) ps \| 1904-1906 \| 2 inline \| 2,008 cc \| 8,8-10,3 kw (12-14 \| 50 km/h (31 mph) row 5 : 4/8 ps \| 1906-1907 \| 2 v \| 1,032 cc \| 5,9 kw (8 ps) \| 55 km/h (34 mph) row 6 : 5/9 ps \| 1907-1909 \| 2 inline \| 1,134 cc \| 6,6 kw (9 ps) \| 60 km/h (37 mph) row 7 : 11/18 ps \| 1907-1910 \| 4 inline \| 2,799 cc \| 13,2 kw (18 ps) \| 55 km/h (34 mph) row 8 : 23/50 ps \| 1909-1912 \| 4 inline \| 5,800 cc \| 42,6 kw (58 p \| None row 9 : 13/30 ps \| 1909-1912 \| 4 inline \| 3,180 cc \| 25,7 kw (35 ps \| None row 10 : 10/28 ps \| 1909-1912 \| 4 inline \| 2,612 cc \| 22 kw (30 ps) \| None row 11 : k 7/15 ps \| 1910-1913 \| 4 inline \| 1,768 cc \| 11 kw (15 ps) \| 60 km/h (37 mph) row 12 : 30/70 ps \| 1911-1914 \| 4 inline \| 7,853 cc \| 51 kw (70 ps) \| 115 km/h (71 mph) row 13 : 15/40 ps \| 1913-1914 \| 4 inline \| 3,866 cc \| 33 kw (45 ps) \| 90 km/h (56 mph) row 14 : 25/55 ps \| 1913-1914 \| 4 inline \| 6,457 cc \| 44 kw (60 ps) \| None row 15 : 12/30 ps \| 1914 \| 4 inline \| 3,115 cc \| 25,7 kw (35 ps \| None row 16 : 9/24 (9/30) ps \| 1921-1924 \| 4 inline \| 2,298 cc \| 17,6-22 kw (24-30 \| 65 km/h (40 mph)- row 17 : 18/60 ps \| 1921-1924 \| 4 inline \| 4,712 cc \| 44 kw (60 ps) \| 100 km/h (62 mph) row 18 : 18/80 ps \| 1925-1927 \| 6 inline \| 4,704 cc \| 59 kw (80 ps \| 100 km/h (62 mph) row 19 : standard 8 \| 1928-1933 \| 8 inline \| 3,887 cc \| 51-59 kw (70-80 \| 100 km/h (62 mph)- row 20 : standard 6 3u \| 1933-1934 \| 6 inline \| 2,916 cc \| 44 kw (60 ps) \| 100 km/h (62 mph) ] Execute this SQL based on the above table: select typ order by cylinders desc limit 1	standard 8
[ header: year \| domestic passengers \| international passengers \| total passengers \| change row 1 : 2006 \| 764831 \| 83115 \| 847946 \| +4.6% row 2 : 2007 \| 764674 \| 75276 \| 839950 \| -0.9% row 3 : 2008 \| 709779 \| 92176 \| 801955 \| -4.5% row 4 : 2009 \| 605534 \| 82424 \| 687958 \| -14.3% row 5 : 2010 \| 595457 \| 105119 \| 700576 \| +1.7% row 6 : 2011 \| 850305 \| 123607 \| 973912 \| +39.1% row 7 : 2012 \| 899854 \| 178679 \| 1078533 \| +10.7% row 8 : 2013 \| 745178 \| 131902 \| 877080 \| -18.7% ] Execute this SQL based on the above table: select change where year = ( select year where change = '-18.7%' ) - 1	+10.7%
[ header: name \| full name \| caps \| goals \| first cap \| opponent \| club row 1 : cafu \| marcos evangelista de morae \| 142 \| 5 \| 12 september 1990 \| spain \| sao paulo row 2 : rogerio ceni \| rogerio ceni \| 17 \| 0 \| 16 december 1997 \| mexico \| sao paulo row 3 : juninho \| antonio augusto ribeiro \| 40 \| 6 \| 28 march 1999 \| south korea \| vasco da gama row 4 : edmilson \| edmilson jose gomes \| 42 \| 1 \| 18 july 2000 \| paraguay \| sao paulo row 5 : tinga \| paulo cesar fonseca \| 4 \| 0 \| 9 august 2001 \| panama \| gremio row 6 : kaka \| ricardo izecson dos \| 87 \| 29 \| 31 january 2002 \| bolivia \| sao paulo row 7 : diego \| diego ribas da cunha \| 33 \| 4 \| 30 april 2003 \| mexico \| santos row 8 : gomes \| heurelho da silva go \| 11 \| 0 \| 13 july 2003 \| mexico \| cruzeiro row 9 : dudu cearense \| alexandro silva de sousa \| 11 \| 0 \| 8 july 2004 \| chile \| vitoria row 10 : grafite \| edinaldo batista \| 4 \| 1 \| 27 april 2005 \| guatemala \| sao paulo row 11 : josue \| josue anunciado de olive \| 28 \| 1 \| 27 march 2007 \| ghana \| sao paulo row 12 : doni \| donieber alexander marangon \| 10 \| 0 \| 5 june 2007 \| turkey \| as roma row 13 : alex silva \| alex sandro da silva \| 2 \| 0 \| 4 july 2007 \| ecuador \| sao paulo row 14 : thiago silva \| thiago emiliano da \| 40 \| 1 \| 12 october 2008 \| venezuela \| fluminense row 15 : ramires \| ramires santos do \| 34 \| 3 \| 6 june 2009 \| uruguay \| cruzeiro row 16 : diego tardelli \| diego tardelli martins \| 5 \| 0 \| 12 august 2009 \| estonia \| atletico mineiro row 17 : carlos eduardo \| carlos eduardo marques \| 6 \| 0 \| 14 november 2009 \| england \| hoffenheim row 18 : victor \| victor leandro bagy \| 5 \| 0 \| 10 august 2010 \| united states \| gremio row 19 : ederson \| ederson honorato campos \| 1 \| 0 \| 10 august 2010 \| united states \| lyon row 20 : wesley \| wesley lopes beltrame \| 2 \| 0 \| 3 october 2010 \| iran \| werder bremen row 21 : oscar \| oscar dos santo \| 22 \| 6 \| 14 september 2011 \| argentina \| internacional row 22 : jefferson \| jefferson de oliveira galva \| 7 \| 0 \| 14 september 2011 \| argentina \| botafogo row 23 : kleber \| kleber laude pinheiro \| 2 \| 0 \| 10 november 2011 \| gabon \| fc porto ] Execute this SQL based on the above table: select full name where goals = ( select goals where full name = 'rogerio ceni' ) + 1	edmilson jose gomes de moraes, edinaldo batista libanio, josue anunciado de oliveira, thiago emiliano da silva
[ header: tie no \| home team \| score \| away team \| attendance row 1 : 1 \| ifk vasteras (d2) \| 3-2 \| ik sleipner (d \| 875 row 2 : 2 \| kramfors if (n) \| 2-4 (aet) \| bk kenty (d3) \| 2808 row 3 : 3 \| reymersholms ik \| 5-2 \| atvidabergs ff (d \| 1504 row 4 : 4 \| wifsta/ostrands if \| 4-3 \| ludvika ffi \| 974 row 5 : 5 \| raa if (d3) \| 3-2 \| sandvikens if (d \| 2116 row 6 : 6 \| sandvikens aik \| 2-3 (aet) \| tidaholms g \| 822 row 7 : 7 \| karlstads bik (d \| 2-5 \| if friska viljor (n) \| 1550 row 8 : 8 \| sandviks ik (n \| 2-3 \| surahammars if (d2) \| None ] Execute this SQL based on the above table: select score order by attendance desc limit 1	2-4 (aet)
[ header: boat # \| name \| builder \| laid down \| launched \| completed \| fate row 1 : 4918 \| ha-208 \| sasebo naval arsenal \| 01-05-1945 \| 26-05-1945 \| 04-08-1945 \| decommissioned 30-11-1945. scut row 2 : 4920 \| ha-210 \| sasebo naval arsenal \| 14-05-1945 \| 10-06-1945 \| 11-08-1945 \| decommissioned 30-11-1945. scut row 3 : 4925 \| ha-215 \| sasebo naval arsenal \| 22-05-1945 \| 15-05-1945 \| None \| incomplete until the end of war (95%). row 4 : 4931 \| ha-221 \| mitsubishi-kobe shipyard \| 20-04-1945 \| 04-08-1945 \| None \| incomplete until the end of war (85%). row 5 : 4933 \| ha-223 \| kawasaki-kobe shipyard \| 01-05-1945 \| None \| None \| incomplete until the end of war (60%). scrap row 6 : 4938 \| ha-228 \| sasebo naval arsenal \| 21-06-1945 \| 18-07-1945 \| None \| incomplete until the end of war (75%). row 7 : 4939 \| ha-229 \| sasebo naval arsenal \| 27-06-1945 \| 27-07-1945 \| None \| incomplete until the end of war (75%). scrap row 8 : 4942 \| ha-232 \| sasebo naval arsenal \| 18-07-1945 \| None \| None \| incomplete until the end of war (40%). later row 9 : 4944 \| ha-234 \| kawasaki-kobe shipyard \| 15-05-1945 \| None \| None \| incomplete until the end of war (50%). scrap row 10 : 4945 \| ha-235 \| kawasaki-senshu shipyard \| 01-06-1945 \| None \| None \| incomplete until the end of war (10%). later row 11 : 4946 \| ha-236 \| kawasaki-kobe shipyard \| 01-06-1945 \| None \| None \| incomplete until the end of war (40%). scrap row 12 : 4958 - 4989 \| None \| None \| None \| None \| None \| constructions were not started until the end of war ] Execute this SQL based on the above table: select count ( launched ) where name = 'ha-223' and boat # = 4946	0
[ header: # \| date \| opponent \| score \| site/stadium \| win \| loss \| save \| attendance \| overall record \| ncaat record row 1 : 72 \| june 15 \| rice \| 17-5 \| rosenblatt stadium \| wilson (8-5) \| berry (8-5) \| none \| 18108 \| 43-29 \| 6-2 row 2 : 73 \| june 17 \| north carolina \| 5-3 \| rosenblatt stadium \| breckley (3-2) \| warren (9-2) \| burke (13) \| 23314 \| 44-29 \| 7-2 row 3 : 74 \| june 21 \| north carolina \| 4-3 \| rosenblatt stadium \| white (13-3) \| miller (6-4) \| none \| 18611 \| 44-30 \| 7-3 row 4 : 75 \| june 22 \| north carolina \| 6-1 \| rosenblatt stadium \| allison (4-5) \| moran (1-2) \| none \| 15125 \| 45-30 \| 8-3 row 5 : 76 \| june 23 \| georgia \| 7-6 \| rosenblatt stadium \| harvil (2-1) \| burke (4-6) \| fields (18) \| 19559 \| 45-31 \| 8-4 row 6 : 77 \| june 24 \| georgia \| 19-10 \| rosenblatt stadium \| sprague (6-2) \| dodson (5-5) \| hower (1) \| 17223 \| 46-31 \| 9-4 row 7 : 78 \| june 25 \| georgia \| 6-1 \| rosenblatt stadium \| wilson (5-5) \| moreau (4-4) \| none \| 18932 \| 47-31 \| 10-4 ] Execute this SQL based on the above table: select ncaat record group by ncaat record order by count ( * ) desc limit 1	9-4
[ 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 1st venue where 3rd venue = 'london'	beijing
[ header: place \| position \| number \| name \| nasl \| playoffs \| cfu club championship \| concacaf champions league \| total row 1 : 1 \| fw \| 11 \| nicholas addlery \| 9 \| 0 \| 0 \| 1 \| 10 row 2 : 2 \| fw \| 9 \| jonathan fana \| 4 \| 0 \| 4 \| 0 \| 8 row 3 : 3 \| fw \| 7 \| david foley \| 6 \| 1 \| 0 \| 0 \| 7 row 4 : 3 \| fw \| 24 \| hector ramos \| 3 \| 0 \| 2 \| 2 \| 7 row 5 : 5 \| df \| 33 \| jay needham \| 3 \| 0 \| 0 \| 0 \| 3 row 6 : 5 \| fw \| 22 \| gregory richardson \| 1 \| 0 \| 1 \| 1 \| 3 row 7 : 7 \| mf \| 20 \| josh hansen \| 0 \| 0 \| 2 \| 0 \| 2 row 8 : 7 \| None \| None \| own goal \| 0 \| 0 \| 2 \| 0 \| 2 row 9 : 9 \| df \| 3 \| richard martinez \| 1 \| 0 \| 0 \| 0 \| 1 row 10 : 9 \| df \| 16 \| anthony vazquez \| 1 \| 0 \| 0 \| 0 \| 1 row 11 : 9 \| df \| 5 \| noah delgado \| 1 \| 0 \| 0 \| 0 \| 1 row 12 : 9 \| mf \| 14 \| jarad van schaik \| 1 \| 0 \| 0 \| 0 \| 1 row 13 : 9 \| mf \| 17 \| tyler wilson \| 1 \| 0 \| 0 \| 0 \| 1 row 14 : 9 \| mf \| 24 \| justin fojo \| 1 \| 0 \| 0 \| 0 \| 1 row 15 : None \| None \| None \| totals \| 32 \| 1 \| 11 \| 4 \| 48 ] Execute this SQL based on the above table: select count ( position ) + count ( name )	28
[ header: metropolitan area \| country \| rank \| forstall 2003 est. \| official population \| year row 1 : ahmedabad \| india \| None \| None \| 6352254 \| 2011 row 2 : atlanta \| united states \| None \| None \| 5457831 \| 2012 row 3 : bangalore \| india \| None \| None \| 8728906 \| 2011 row 4 : barcelona \| spain \| None \| None \| 5357422 \| 2012 row 5 : belo horizonte \| brazil \| None \| None \| 5504635 \| 2012 row 6 : beijing \| china \| 19 \| 12500000 \| None \| None row 7 : berlin \| germany \| None \| None \| 5097712 \| 2012 row 8 : bogota \| colombia \| None \| None \| 9023644 \| 2014 row 9 : buenos aires \| argentina \| 17 \| 13170000 \| 12801364 \| 2010 row 10 : cairo \| egypt \| 16 \| 14450000 \| None \| None row 11 : chennai \| india \| None \| None \| 8917749 \| 2011 row 12 : chicago \| united states \| None \| 9175000 \| 9522434 \| 2012 row 13 : dallas-fort worth \| united states \| None \| None \| 6700991 \| 2012 row 14 : dhaka \| bangladesh \| None \| None \| 12797394 \| 2008 row 15 : houston \| united states \| None \| None \| 6177035 \| 2012 row 16 : hyderabad \| india \| None \| None \| 7749334 \| 2011 row 17 : istanbul \| turkey \| None \| None \| 14160467 \| 2014 row 18 : jakarta \| indonesia \| 6 \| 18900000 \| 28019545 \| 2010 row 19 : karachi \| pakistan \| 20 \| 11800000 \| None \| None row 20 : kolkata \| india \| 14 \| 15100000 \| 14617882 \| 2011 row 21 : lima \| peru \| None \| None \| 9735587 \| 2014 row 22 : london \| united kingdom \| 18 \| 12875000 \| 13614409 \| 2012 row 23 : los angeles \| united states \| 13 \| 15250000 \| 13052921 \| 2012 row 24 : madrid \| spain \| None \| None \| 6387824 \| 2012 row 25 : manila \| philippines \| 11 \| 16300000 \| 11855975 \| 2010 row 26 : miami \| united states \| None \| None \| 5762717 \| 2012 row 27 : moscow \| russia \| 15 \| 15000000 \| 17000000 \| None row 28 : nagoya \| japan \| None \| None \| 9107000 \| 2010 row 29 : new york \| united states \| 4 \| 19750000 \| 19831858 \| 2012 row 30 : osaka-kobe-ky \| japan \| 9 \| 17375000 \| 19342000 \| 2010 row 31 : paris \| france \| None \| None \| 12223100 \| 2010 row 32 : philadelphia \| united states \| None \| None \| 6018800 \| 2012 row 33 : pune \| india \| None \| None \| 5049968 \| 2011 row 34 : ruhr \| germany \| None \| None \| 5135136 \| 2012 row 35 : rio de janeiro \| brazil \| None \| None \| 11846530 \| 2012 row 36 : sao paulo \| brazil \| 7 \| 18850000 \| 19956590 \| 2012 row 37 : santiago \| chile \| None \| None \| 6683852 \| 2012 row 38 : shanghai \| china \| 10 \| 16650000 \| None \| None row 39 : seoul \| south korea \| 2 \| 20550000 \| 25721000 \| 2012 row 40 : singapore \| singapore \| None \| None \| 5312000 \| 2012 row 41 : tokyo \| japan \| 1 \| 32450000 \| 36923000 \| 2010 ] Execute this SQL based on the above table: select country where metropolitan area = 'ruhr'	germany
[ header: year \| game of the year \| abstract strategy \| advanced strategy \| family \| family card \| family strategy \| party \| puzzle \| word \| historical simulation \| other row 1 : 1992 \| pipeline \| terrace \| None \| showdown yahtzee \| arcade: super tetris \| real-life strategy: d-day \| humm...ble \| heaven & earth \| wordsters \| adventure: the lost files of sherlock \| trivia: times to remember row 2 : 1993 \| inklings \| char \| None \| perpetual notion \| arcade: ecco the dolphin \| real-life: civilization \| oodles \| the incredible machine \| pick two! \| adventure: return to zork \| trivia: celebrity challenge row 3 : 1994 \| myst \| the game of y \| wargames: v for victory \| peg poker \| arcade: lode runner: the legend returns \| real-life strategy: x-com: \| the doonesbury game \| breakthru! \| boggle master \| adventure: the elder scrolls: arena \| trivia: quote unquote row 4 : 1995 \| sharp shooters \| strategy: quixo \| conflict: colonial diplomacy \| touche \| phantoms of the ice \| sports: dynasty league baseball \| catch phrase \| lights out \| pre.fix \| adventure & role playing: dragon dice: battle \| trivia: chronicles ccg: on row 5 : 1997 \| 25 words or less \| transpose \| strategy & conflict: field command \| mole in the hole \| take 6 \| priceless \| last chance \| deluxe lights out \| bethump'd with words \| adventure & role-playing: dragonl \| trivia: origins row 6 : 1998 \| quoridor \| balanx \| strategy & conflict: princess ryan' \| take it easy \| get the goods \| quandary \| wise and otherwise \| lost in a jigsaw \| a to z \| None \| trivia: director's cut ccg row 7 : 1999 \| fossil \| gipf \| conflict: atlantic storm \| montgolfiere \| bohnanza \| el grande \| say when!! \| stormy seas \| alpha blitz \| None \| trivia: where in time is carmen s row 8 : 2000 \| torres \| octi \| memory: mamma mia \| moonshot \| buried treasure \| tikal \| apples to apples \| ricochet robot \| double quick! \| None \| trivia: bioviva ccg: row 9 : 2001 \| aladdin's dragons \| zertz \| the princes of florence \| cafe international \| hellrail \| web of power \| democrazy \| lunar lockout \| None \| paths of glory \| two-player card: caesar row 10 : 2002 \| evo \| morisi \| java \| africa \| babel \| lord of the rings \| hilarium \| flip-it! \| my word! \| drive on paris \| manual dexterity: space game row 11 : 2004 \| new england \| clans \| wildlife \| i'm the boss! \| queen's necklace \| zoosim \| party/trivia: dibs \| river crossing \| crossword pyramids \| hammer of the scots \| two-player card: balloon cup row 12 : 2005 \| buyword \| yinsh \| tahuantinsuy \| vanished planet \| victory & honor \| alexandros \| party/trivia: cranium ho \| None \| None \| memoir '44 \| None ] Execute this SQL based on the above table: select count ( family strategy ) where family card = 'phantoms of the ice'	1
[ header: member \| party \| term row 1 : john ryan \| none \| 1859-1864 row 2 : james martin \| none \| 1864-1869 row 3 : james watson \| none \| 1869-1880 row 4 : james carroll \| independent protectionist \| 1894-1895 row 5 : james carroll \| protectionist \| 1895-1901 row 6 : james carroll \| progressive \| 1901-1904 row 7 : andrew kelly \| labor \| 1904-1913 row 8 : thomas brown \| labor \| 1913-1917 row 9 : ernest buttenshaw \| nationalist \| 1917-1920 row 10 : ernest buttenshaw \| country \| 1927-1938 row 11 : griffith evans \| country \| 1938-1943 row 12 : john chanter \| labor \| 1943-1947 row 13 : robert medcalf \| country \| 1947-1950 row 14 : ian armstrong \| national \| 1981-2007 ] Execute this SQL based on the above table: select count ( * ) where member = 2	0
[ header: year \| title \| role \| notes row 1 : 1995 \| new york undercover \| herself \| "private enemy no. 1" (ep row 2 : 1998 \| the jamie foxx show \| ola mae \| "papa don't preach" (e row 3 : 1999 \| moesha \| herself \| "good vibrations?" (episo row 4 : 2001 \| angel: one more road to cross \| guardian angel \| direct to dvd row 5 : 2001 \| prison song \| mrs. butler \| main role row 6 : 2001 \| strong medicine \| simone fellows \| "history" (episode row 7 : 2007 \| ghost whisperer \| jackie boyd \| "mean ghost" (episo row 8 : 2007 \| entourage \| herself \| "gary's desk" (ep row 9 : 2009 \| i can do bad all by myself \| tanya \| supporting role row 10 : 2009 \| 30 rock \| herself \| guest row 11 : 2010 \| american idol \| guest judge/herself \| auditions were held in atlanta, ge row 12 : 2012 \| rock of ages \| justice charlier \| None row 13 : 2013 \| betty and coretta \| dr. betty shab \| an original lifetime movie row 14 : 2013 \| the x factor \| guest judge/herself \| blige assisted nicole scher row 15 : 2013 \| black nativity \| platinum fro \| None ] Execute this SQL based on the above table: select year where notes = 'main role'	2001
[ header: fin \| st \| driver \| car # \| make \| points \| bonus \| laps \| winnings row 1 : 1 \| 1 \| jeff gordon \| 24 \| chevrolet \| 195 \| 10 \| 192 \| $355,511 row 2 : 2 \| 8 \| jimmie johnson \| 48 \| chevrolet \| 175 \| 5 \| 192 \| $251,736 row 3 : 3 \| 26 \| kurt busch \| 2 \| dodge \| 170 \| 5 \| 192 \| $212,483 row 4 : 4 \| 2 \| david gilliland \| 38 \| ford \| 160 \| None \| 192 \| $182,689 row 5 : 5 \| 25 \| jamie mcmurray \| 26 \| ford \| 160 \| 5 \| 192 \| $134,675 row 6 : 7 \| 36 \| dale earnhardt jr \| 8 \| chevrolet \| 151 \| 5 \| 192 \| $149,233 row 7 : 8 \| 20 \| david stremme \| 40 \| dodge \| 147 \| 5 \| 192 \| $106,025 row 8 : 9 \| 28 \| ryan newman \| 12 \| dodge \| 138 \| None \| 192 \| $133,450 row 9 : 10 \| 37 \| martin truex jr \| 1 \| chevrolet \| 134 \| None \| 192 \| $126,495 row 10 : 11 \| 9 \| scott riggs \| 10 \| dodge \| 130 \| None \| 192 \| $107,050 row 11 : 12 \| 30 \| kasey kahne \| 9 \| dodge \| 132 \| 5 \| 192 \| $138,891 row 12 : 13 \| 34 \| jeff green \| 66 \| chevrolet \| 129 \| 5 \| 192 \| $120,933 row 13 : 14 \| 17 \| matt kenseth \| 17 \| ford \| 126 \| 5 \| 192 \| $137,641 row 14 : 17 \| 10 \| david ragan \| 6 \| ford \| 117 \| 5 \| 192 \| $127,100 row 15 : 19 \| 31 \| j.j. yeley \| 18 \| chevrolet \| 106 \| None \| 192 \| $116,033 row 16 : 20 \| 35 \| bobby labonte \| 43 \| dodge \| 103 \| None \| 192 \| $127,111 row 17 : 21 \| 3 \| denny hamlin \| 11 \| chevrolet \| 105 \| 5 \| 192 \| $102,550 row 18 : 23 \| 18 \| jeremy mayfield \| 36 \| toyota \| 94 \| None \| 192 \| $83,075 row 19 : 25 \| 29 \| reed sorenson \| 41 \| dodge \| 88 \| None \| 192 \| $101,947 row 20 : 27 \| 11 \| boris said \| 160 \| ford \| 87 \| 5 \| 191 \| $80,775 row 21 : 28 \| 32 \| tony stewart \| 20 \| chevrolet \| 84 \| 5 \| 190 \| $127,761 row 22 : 30 \| 21 \| johnny sauter \| 70 \| chevrolet \| 73 \| None \| 190 \| $79,325 row 23 : 32 \| 14 \| david reutimann \| 0 \| toyota \| 67 \| None \| 184 \| $78,525 row 24 : 34 \| 42 \| jeff burton \| 31 \| chevrolet \| 66 \| 5 \| 151 \| $118,266 row 25 : 37 \| 13 \| kyle busch \| 5 \| chevrolet \| 52 \| None \| 130 \| $95,800 row 26 : 38 \| 33 \| joe nemechek \| 13 \| chevrolet \| 49 \| None \| 130 \| $77,450 row 27 : 39 \| 7 \| casey mears \| 25 \| chevrolet \| 51 \| 5 \| 124 \| $85,250 row 28 : 40 \| 43 \| dale jarrett \| 44 \| toyota \| 43 \| None \| 38 \| $77,000 ] Execute this SQL based on the above table: select count ( * ) where st >= 706	0
[ header: season \| date \| driver \| team \| chassis \| engine \| race distance laps \| race distance miles (km) \| race time \| average speed (mph) \| report row 1 : 2005 \| july 17 \| sebastien bourdais \| newman/haas racing \| lola \| ford-cosworth \| 88 \| 173.624 (279.42) \| 1:38:55 \| 105.302 \| report row 2 : 2006 \| july 23 \| justin wilson \| rusport \| lola \| ford-cosworth \| 85 \| 167.705 (269.895) \| 1:40:30 \| 100.112 \| report row 3 : 2007 \| july 22 \| sebastien bourdais \| newman/haas/lanigan racing \| panoz \| cosworth \| 96 \| 189.408 (304.822) \| 1:45:41 \| 107.517 \| report row 4 : 2008 \| july 26 \| scott dixon \| chip ganassi racing \| dallara \| honda \| 91 \| 179.543 (288.946) \| 1:51:06 \| 96.967 \| report row 5 : 2009 \| july 26 \| will power \| penske racing \| dallara \| honda \| 95 \| 187.435 (301.647) \| 1:42:42 \| 109.498 \| report row 6 : 2010 \| july 25 \| scott dixon \| chip ganassi racing \| dallara \| honda \| 95 \| 187.435 (301.647) \| 1:50:37 \| 101.666 \| report row 7 : 2011 \| july 24 \| will power \| penske racing \| dallara \| honda \| 80 \| 180.48 (290.454) \| 1:57:23 \| 90.949 \| report row 8 : 2012 \| july 22 \| helio castroneves \| penske racing \| dallara \| chevrolet \| 75 \| 169.2 (272.301) \| 1:38:51 \| 101.246 \| report ] Execute this SQL based on the above table: select average speed (mph) where average speed (mph) not null order by race time limit 396	105.302, 100.112, 107.517, 96.967, 109.498, 101.666, 90.949, 101.246
[ header: date \| team \| name \| position \| years in nba \| notes row 1 : april 23, 2009 \| houston rockets \| dikembe mutombo \| c \| 18 \| suffered a season-ending injury row 2 : may 21, 2009 \| free agent \| sam cassell \| g \| 15 \| became an assistant coach of the wizards row 3 : september 3, 2009 \| free agent \| bruce bowen \| f \| 12 \| None row 4 : october 22, 2009 \| free agent \| mark madsen \| f \| 9 \| became an assistant coach of the uta row 5 : october 23, 2009 \| free agent \| bobby jackson \| g \| 12 \| None row 6 : october 23, 2009 \| free agent \| tyronn lue \| g \| 11 \| became the director of basketball development of the celtics row 7 : november 5, 2009 \| free agent \| darrick martin \| g \| 14 \| named assistant director of player development of timberwolves ] Execute this SQL based on the above table: select abs ( ( select years in nba where position = 'g' ) - ( select years in nba where position = 'g' ) )	0.0
[ header: year \| position row 1 : 1957 \| did not enter row 2 : 1959 \| did not enter row 3 : 1962 \| did not enter row 4 : 1963 \| did not enter row 5 : 1965 \| did not enter row 6 : 1968 \| did not qualify row 7 : 1970 \| did not qualify row 8 : 1972 \| round 1 row 9 : 1974 \| withdrew row 10 : 1976 \| did not qualify row 11 : 1978 \| did not qualify row 12 : 1980 \| did not qualify row 13 : 1982 \| did not qualify row 14 : 1984 \| round 1 row 15 : 1986 \| did not qualify row 16 : 1988 \| did not qualify row 17 : 1990 \| withdrew row 18 : 1992 \| did not qualify row 19 : 1994 \| withdrew during qualifying row 20 : 1996 \| did not qualify row 21 : 1998 \| round 1 row 22 : 2000 \| round 1 row 23 : 2002 \| round 1 row 24 : 2004 \| did not qualify row 25 : 2006 \| round 1 row 26 : 2008 \| did not qualify row 27 : 2010 \| withdrew due to rebel attack row 28 : 2012 \| did not qualify row 29 : 2013 \| quarter-final ] Execute this SQL based on the above table: select count ( * ) where year > 729	29
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 2001 \| world youth championships \| debrecen, hungary \| 2nd \| 400 m \| 47.12 row 2 : 2001 \| world youth championships \| debrecen, hungary \| 1st \| medley relay \| 1:50.46 row 3 : 2001 \| european junior championships \| grosseto, italy \| 1st \| 4x400 m relay \| 3:06.12 row 4 : 2003 \| european junior championships \| tampere, finland \| 3rd \| 400 m \| 46.69 row 5 : 2003 \| european junior championships \| tampere, finland \| 2nd \| 4x400 m relay \| 3:08.62 row 6 : 2005 \| european u23 championships \| erfurt, germany \| 11th (sf) \| 400 m \| 46.62 row 7 : 2005 \| european u23 championships \| erfurt, germany \| 1st \| 4x400 m relay \| 3:04.41 row 8 : 2005 \| universiade \| izmir, turkey \| 7th \| 400 m \| 46.89 row 9 : 2005 \| universiade \| izmir, turkey \| 1st \| 4x400 m relay \| 3:02.57 row 10 : 2006 \| world indoor championships \| moscow, russia \| 2nd (h) \| 4x400 m relay \| 3:06.10 row 11 : 2006 \| european championships \| gothenburg, sweden \| 3rd \| 4x400 m relay \| 3:01.73 row 12 : 2007 \| european indoor championships \| birmingham, united kingdom \| 3rd \| 4x400 m relay \| 3:08.14 row 13 : 2007 \| universiade \| bangkok, thailand \| 7th \| 400 m \| 46.85 row 14 : 2007 \| universiade \| bangkok, thailand \| 1st \| 4x400 m relay \| 3:02.05 row 15 : 2008 \| world indoor championships \| valencia, spain \| 4th \| 4x400 m relay \| 3:08.76 row 16 : 2008 \| olympic games \| beijing, china \| 7th \| 4x400 m relay \| 3:00.32 row 17 : 2009 \| universiade \| belgrade, serbia \| 2nd \| 4x400 m relay \| 3:05.69 ] Execute this SQL based on the above table: select competition where year > ( select year where competition = 'world indoor championships' ) order by year limit 1	european indoor championships
[ header: \| \| \| row 1 : 1962 \| the trial/le proces \| hilda \| notes row 2 : 1949 \| in the good old summertime \| baby \| uncredited row 3 : 1954 \| the long, long trailer \| wedding guest \| scenes deleted row 4 : 1967 \| charlie bubbles \| eliza \| None row 5 : 1969 \| the sterile cuckoo \| 'pookie' (mary ann \| david di donatello for best foreign actress row 6 : 1970 \| tell me that you love me, juni \| junie moon \| None row 7 : 1972 \| cabaret \| sally bowles \| academy award for best actress bafta award row 8 : 1974 \| just one more time \| herself \| uncredited (short subject) row 9 : 1974 \| that's entertainment! \| herself (narrator) \| None row 10 : 1974 \| journey back to oz \| dorothy \| voice (recorded in 1963, released row 11 : 1975 \| lucky lady \| claire \| nominated - golden globe award for best row 12 : 1976 \| silent movie \| herself \| None row 13 : 1976 \| a matter of time \| nina \| None row 14 : 1977 \| new york, new york \| francine evans \| nominated - golden globe award for best row 15 : 1981 \| arthur \| linda marolla \| nominated - golden globe award for best row 16 : 1983 \| the king of comedy \| herself \| scenes deleted row 17 : 1984 \| the muppets take manhattan \| herself \| None row 18 : 1985 \| that's dancing! \| herself - host \| None row 19 : 1987 \| rent-a-cop \| della roberts \| golden raspberry award for worst actress row 20 : 1988 \| arthur 2: on the rocks \| linda marolla bach \| golden raspberry award for worst actress row 21 : 1991 \| stepping out \| mavis turner \| None row 22 : 1994 \| a century of cinema \| herself \| documentary row 23 : 1995 \| unzipped \| herself - uncredited \| documentary row 24 : 2006 \| the oh in ohio \| alyssa donahue \| None row 25 : 2010 \| broadway: beyond the golden age \| herself \| documentary row 26 : 2010 \| sex and the city 2 \| wedding minister/herself \| cameo appearance row 27 : 2011 \| lady gaga presents the monster ball tour: at \| herself \| guest appearance row 28 : 2013 \| smash \| herself \| guest appearance ] Execute this SQL based on the above table: select where != 'herself' and = ( select where = 'herself' )	herself (narrator), dorothy
[ header: composer \| title \| genre \| date \| notes row 1 : flor alpaerts \| salome \| incidental music \| None \| None row 2 : granville bantock \| dance of the seven veils \| incidental music \| 1918 \| staged london, 1918 row 3 : leonard bernstein \| salome \| incidental music \| 1955 \| chamber orchestra with 8 players and vocal soloists row 4 : peter maxwell davies \| salome \| ballet \| 1978 \| premiered copenhagen, 10 nov row 5 : pete doherty \| salome \| popular music \| 2009 \| appears on his album grace/wastelands row 6 : alexander glazunov \| introduction and dance, op. 90 \| incidental music \| 1908 \| None row 7 : henry hadley \| salome, op. 55 \| symphonic poem \| 1905 \| this was written after hadley had seen a row 8 : alexander krein \| salome, op. 19 \| symphonic poem \| 1929 \| None row 9 : constant lambert \| salome \| incidental music \| 1929 \| clarinet, cello, trumpet, row 10 : antoine mariotte \| salome \| opera \| 1905 \| premiered 1908; he was involved in row 11 : emil petrovics \| salome \| ballet \| 1978 \| flute, trumpet, harp and percussion row 12 : richard strauss \| salome, op. 54 \| opera \| 1905 \| trans. hedwig lachmann; row 13 : alexander tcherepnin \| salome \| incidental music \| None \| None ] Execute this SQL based on the above table: select composer where id = ( select id where composer = 'constant lambert' ) + 1	antoine mariotte
[ header: year \| competition \| venue \| position \| notes row 1 : 2002 \| european championships \| munich, germany \| 6th \| 7.78 m row 2 : 2003 \| world championships \| paris, france \| 9th \| 7.93 m row 3 : 2004 \| olympic games \| athens, greece \| 5th \| 8.25 m row 4 : 2006 \| european championships \| gothenburg, sweden \| 9th \| 7.74 m row 5 : 2008 \| world indoor championships \| valencia, spain \| 2nd \| 8.06 m row 6 : 2008 \| olympic games \| beijing, china \| 27th \| 7.70 m row 7 : 2009 \| world championships \| berlin, germany \| 8th \| 8.06 m row 8 : 2010 \| european championships \| barcelona, spain \| 3rd \| 8.23 m row 9 : 2011 \| european team championships \| stockholm, sweden \| 3rd \| 8.12 m row 10 : 2011 \| world championships \| daegu, south korea \| 11th \| 7.87 m row 11 : 2012 \| olympic games \| london, england \| 6th \| 8.07 m row 12 : 2013 \| european indoor championships \| gothenburg, sweden \| 7th \| 7.95 m ] Execute this SQL based on the above table: select competition order by year desc limit 1	european indoor championships
[ header: rank \| npc \| gold \| silver \| bronze \| total row 1 : 1 \| china (chn) \| 95 \| 71 \| 65 \| 231 row 2 : 2 \| russia (rus) \| 36 \| 38 \| 28 \| 102 row 3 : 3 \| great britain (gbr) \| 34 \| 43 \| 43 \| 120 row 4 : 4 \| ukraine (ukr) \| 32 \| 24 \| 28 \| 84 row 5 : 5 \| australia (aus) \| 32 \| 23 \| 30 \| 85 row 6 : 6 \| united states (usa) \| 31 \| 29 \| 38 \| 98 row 7 : 7 \| brazil (bra) \| 21 \| 14 \| 8 \| 43 row 8 : 8 \| germany (ger) \| 18 \| 26 \| 22 \| 66 row 9 : 9 \| poland (pol) \| 14 \| 13 \| 9 \| 36 row 10 : 10 \| netherlands (ned) \| 10 \| 10 \| 19 \| 39 row 11 : total (75 npcs) \| total (75 npcs) \| 503 \| 503 \| 516 \| 1522 ] Execute this SQL based on the above table: select npc where npc > ( select npc where npc = 'australia (aus)' ) and silver > 245 order by npc asc limit 1	total (75 npcs)
[ header: # \| president \| president's party \| senate with \| senate opposed \| house with \| house opposed \| years served \| elections won row 1 : 1 \| george washington \| federalist-leaning \| 8 \| 0 \| 6 \| 2 \| 8 \| 2 row 2 : 3 \| thomas jefferson \| democratic-republican \| 8 \| 0 \| 8 \| 0 \| 8 \| 2 row 3 : 4 \| james madison \| democratic-republican \| 8 \| 0 \| 8 \| 0 \| 8 \| 2 row 4 : 7 \| andrew jackson \| democratic \| 8 \| 0 \| 8 \| 0 \| 8 \| 2 row 5 : 8 \| martin van buren \| democratic \| 4 \| 0 \| 4 \| 0 \| 4 \| 1 row 6 : 10 \| john tyler \| whig/none \| 4 \| 0 \| 2 \| 2 \| 4 \| 0 row 7 : 13 \| millard fillmore \| whig \| 0 \| 3 \| 0 \| 3 \| 3 \| 0 row 8 : 15 \| james buchanan \| democratic \| 4 \| 0 \| 2 \| 2 \| 4 \| 1 row 9 : 16 \| abraham lincoln \| republican \| 4 \| 0 \| 4 \| 0 \| 4 \| 2 row 10 : 17 \| andrew johnson \| democratic \| 0 \| 4 \| 0 \| 4 \| 4 \| 0 row 11 : 18 \| ulysses grant \| republican \| 8 \| 0 \| 6 \| 2 \| 8 \| 2 row 12 : 20 \| james garfield \| republican \| 0 \| 0.5 \| 0.5 \| 0 \| 0.5 \| 1 row 13 : 21 \| chester arthur \| republican \| 4 \| 0 \| 2 \| 2 \| 4 \| 0 row 14 : 24 \| grover cleveland \| democratic \| 2 \| 2 \| 2 \| 2 \| 4 \| 1 row 15 : 25 \| william mckinley \| republican \| 4 \| 0 \| 4 \| 0 \| 4 \| 2 row 16 : 26 \| theodore roosevel \| republican \| 8 \| 0 \| 8 \| 0 \| 8 \| 1 row 17 : 27 \| william taft \| republican \| 4 \| 0 \| 2 \| 2 \| 4 \| 1 row 18 : 28 \| woodrow wilson \| democratic \| 6 \| 2 \| 6 \| 2 \| 8 \| 2 row 19 : 29 \| warren harding \| republican \| 2 \| 0 \| 2 \| 0 \| 2 \| 1 row 20 : 30 \| calvin coolidge \| republican \| 6 \| 0 \| 6 \| 0 \| 6 \| 1 row 21 : 31 \| herbert hoover \| republican \| 4 \| 0 \| 2 \| 2 \| 4 \| 1 row 22 : 34 \| dwight eisenhower \| republican \| 2 \| 6 \| 2 \| 6 \| 8 \| 2 row 23 : 36 \| lyndon johnson \| democratic \| 5 \| 0 \| 5 \| 0 \| 5 \| 1 row 24 : 38 \| gerald ford \| republican \| 0 \| 2 \| 0 \| 2 \| 2 \| 0 row 25 : 39 \| jimmy carter \| democratic \| 4 \| 0 \| 4 \| 0 \| 4 \| 1 row 26 : 41 \| george h. w. bush \| republican \| 0 \| 4 \| 0 \| 4 \| 4 \| 1 row 27 : 42 \| bill clinton \| democratic \| 2 \| 6 \| 2 \| 6 \| 8 \| 2 row 28 : 43 \| george w. bush \| republican \| 4.5 \| 3.5 \| 6 \| 2 \| 8 \| 2 row 29 : 44 \| barack obama \| democratic \| 6 \| 0 \| 2 \| 4 \| 6 \| 2 ] Execute this SQL based on the above table: select ( select count ( distinct president ) ) > 566	0
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 10 \| juan pablo montoya \| mclaren-mercedes \| 60 \| 1:24:29.588 \| 3 \| 10 row 2 : 2 \| 5 \| fernando alonso \| renault \| 60 \| 2.739 \| 1 \| 8 row 3 : 3 \| 9 \| kimi raikkonen \| mclaren-mercedes \| 60 \| 14.436 \| 12 \| 6 row 4 : 4 \| 6 \| giancarlo fisichella \| renault \| 60 \| 17.914 \| 6 \| 5 row 5 : 5 \| 3 \| jenson button \| bar-honda \| 60 \| 40.264 \| 2 \| 4 row 6 : 6 \| 1 \| michael schumacher \| ferrari \| 60 \| +1:15.322 \| 9 \| 3 row 7 : 7 \| 2 \| rubens barrichello \| ferrari \| 60 \| +1:16.567 \| 5 \| 2 row 8 : 8 \| 17 \| ralf schumacher \| toyota \| 60 \| +1:19.212 \| 8 \| 1 row 9 : 9 \| 16 \| jarno trulli \| toyota \| 60 \| +1:20.851 \| 4 \| None row 10 : 10 \| 12 \| felipe massa \| sauber-petronas \| 59 \| +1 lap \| 16 \| None row 11 : 11 \| 7 \| mark webber \| williams-bmw \| 59 \| +1 lap \| 11 \| None row 12 : 12 \| 8 \| nick heidfeld \| williams-bmw \| 59 \| +1 lap \| 14 \| None row 13 : 13 \| 14 \| david coulthard \| red bull-cosworth \| 59 \| +1 lap \| 13 \| None row 14 : 14 \| 11 \| jacques villeneuve \| sauber-petronas \| 59 \| +1 lap \| 10 \| None row 15 : 15 \| 15 \| christian klien \| red bull-cosworth \| 59 \| +1 lap \| 15 \| None row 16 : 16 \| 4 \| takuma sato \| bar-honda \| 58 \| +2 laps \| 7 \| None row 17 : 17 \| 18 \| tiago monteiro \| jordan-toyota \| 58 \| +2 laps \| 20 \| None row 18 : 18 \| 21 \| christijan albers \| minardi-cosworth \| 57 \| +3 laps \| 18 \| None row 19 : 19 \| 20 \| patrick friesacher \| minardi-cosworth \| 56 \| +4 laps \| 19 \| None row 20 : ret \| 19 \| narain karthikeyan \| jordan-toyota \| 10 \| electrical \| 17 \| None ] Execute this SQL based on the above table: select sum ( grid ) where points = 1	8
[ header: year \| location \| men's winner \| men's runner-up \| score \| women's winner \| women's runner-up \| score row 1 : 2003 \| london \| western \| mcgill \| 1-0 \| western \| mcgill \| 4-3 row 2 : 2004 \| kingston \| western \| mcgill \| 2-1 \| mcgill \| western \| 2-1 row 3 : 2005 \| montreal \| toronto \| queen's \| 2-1 \| mcgill \| queen's \| 1-0 row 4 : 2006 \| toronto \| western \| queen's \| 3-0 \| mcgill \| western \| 6-2 row 5 : 2007 \| london \| western \| mcgill \| 1-0 \| mcgill \| queen's \| 1-0 row 6 : 2008 \| toronto \| mcgill \| toronto \| 2-0 \| mcgill \| toronto \| 3-1 row 7 : 2009 \| london ontario \| western \| mcgill \| 2-1 \| mcgill \| queen's \| 3-0 row 8 : 2010 \| kingston \| mcgill \| queen's \| 2-1 \| mcgill \| toronto \| 1-0 row 9 : 2011 \| montreal \| toronto \| mcgill \| p-p \| toronto \| mcgill \| p-p row 10 : 2012 \| toronto \| toronto \| western \| 1-1 (5-4 pk) \| mcgill \| western \| 2-1 row 11 : 2013 \| london \| queen's \| western \| 1-1 (4-2 pk) \| toronto \| mcgill \| 0-0 (4-3 pk) ] Execute this SQL based on the above table: select count ( year ) where score is null	0
[ header: round \| pick \| player \| nationality \| college/junior/club team row 1 : 1 \| 3 \| rick hampton \| canada \| st. catharines black hawk row 2 : 1 \| 17 \| ron chipperfield \| canada \| brandon wheat kings (wchl row 3 : 2 \| 21 \| bruce affleck \| canada \| university of denver pioneers (wcha) row 4 : 3 \| 39 \| charlie simmer \| canada \| sault ste. marie greyhound row 5 : 4 \| 57 \| tom price \| canada \| ottawa 67's ( row 6 : 5 \| 75 \| jim warden \| united states \| michigan tech huskies (wcha row 7 : 6 \| 93 \| tom sundberg \| united states \| st. paul vulcans row 8 : 7 \| 111 \| tom anderson \| united states \| st. paul vulcans row 9 : 8 \| 128 \| jim mccabe \| canada \| welland sabres (so ] Execute this SQL based on the above table: select count ( player ) where college/junior/club team = 'st. paul vulcans (midjhl)'	2
[ 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 abs ( ( select sales where highest position = 4 ) - ( select sales where highest position = 4 ) )	0.0
[ header: no. \| name \| term of office \| term of office \| political party \| ministry row 1 : 1 \| c. d. howe \| november 2, 1936 \| july 8, 1940 \| liberal \| 16 (king) row 2 : 2 \| arthur cardin \| july 8, 1940 \| may 13, 1942 \| liberal \| 16 (king) row 3 : None \| c. d. howe (act \| may 13, 1942 \| october 6, 1942 \| liberal \| 16 (king) row 4 : 3 \| joseph-enoil michau \| october 6, 1942 \| april 18, 1945 \| liberal \| 16 (king) row 5 : 4 \| lionel chevrier \| april 18, 1945 \| july 1, 1954 \| liberal \| 17 (st. laurent) row 6 : 5 \| george carlyle marler \| july 1, 1954 \| june 21, 1957 \| liberal \| 17 (st. laurent) row 7 : 7 \| leon balcer \| october 11, 1960 \| april 22, 1963 \| progressive conservative \| 18 (diefenbaker) row 8 : 8 \| george mcilraith \| april 22, 1963 \| february 3, 1964 \| liberal \| 19 (pearson) row 9 : 9 \| jack pickersgill \| february 3, 1964 \| september 19, 1967 \| liberal \| 19 (pearson) row 10 : 10 \| paul hellyer \| september 19, 1967 \| april 20, 1968 \| liberal \| 19 (pearson) row 11 : 10 \| paul hellyer \| april 20, 1968 \| april 30, 1969 \| liberal \| 20 (trudeau) row 12 : None \| james armstrong richardson (act \| april 30, 1969 \| may 5, 1969 \| liberal \| 20 (trudeau) row 13 : 11 \| don jamieson \| may 5, 1969 \| november 27, 1972 \| liberal \| 20 (trudeau) row 14 : 12 \| jean marchand \| november 27, 1972 \| september 26, 1975 \| liberal \| 20 (trudeau) row 15 : 14 \| don mazankowski \| june 4, 1979 \| march 3, 1980 \| progressive conservative \| 21 (clark) row 16 : 15 \| jean-luc pepin \| march 3, 1980 \| august 12, 1983 \| liberal \| 22 (trudeau) row 17 : 16 \| lloyd axworthy \| august 12, 1983 \| june 29, 1984 \| liberal \| 22 (trudeau) row 18 : 16 \| lloyd axworthy \| june 30, 1984 \| september 16, 1984 \| liberal \| 23 (turner) row 19 : (14) \| don mazankowski (2nd time) \| september 17, 1984 \| june 29, 1986 \| progressive conservative \| 24 (mulroney) row 20 : 17 \| john crosbie \| june 30, 1986 \| march 30, 1988 \| progressive conservative \| 24 (mulroney) row 21 : 18 \| benoit bouchard \| march 31, 1988 \| february 22, 1990 \| progressive conservative \| 24 (mulroney) row 22 : 20 \| jean corbeil \| april 21, 1991 \| june 24, 1993 \| progressive conservative \| 24 (mulroney) row 23 : 20 \| jean corbeil \| june 25, 1993 \| november 3, 1993 \| progressive conservative \| 25 (campbell) row 24 : 21 \| doug young \| november 4, 1993 \| january 24, 1996 \| liberal \| 26 (chretien) row 25 : 22 \| david anderson \| january 25, 1996 \| june 10, 1997 \| liberal \| 26 (chretien) row 26 : 23 \| david collenette \| june 11, 1997 \| december 11, 2003 \| liberal \| 26 (chretien) row 27 : 24 \| tony valeri \| december 12, 2003 \| july 19, 2004 \| liberal \| 27 (martin) row 28 : 25 \| jean lapierre \| july 20, 2004 \| february 5, 2006 \| liberal \| 27 (martin) ] Execute this SQL based on the above table: select no. where name = 'arthur cardin'	2.0
[ header: # \| title \| tpb isbn \| tpb release date \| tpb page number \| collected material row 1 : 1 \| the name of the game \| isbn 91-33-30546-3 \| june, 2007 \| 152 \| the boys #1-6 row 2 : 2 \| get some \| isbn 1-933305-68-1 \| march, 2008 \| 192 \| the boys #7-14 row 3 : 3 \| good for the soul \| isbn 1-933305-92-4 \| october, 2008 \| 192 \| the boys #15-22 row 4 : 4 \| we gotta go now \| isbn 1-84856-298-5 \| july, 2009 \| 192 \| the boys #23-30 row 5 : 5 \| herogasm \| isbn 1-60690-082-x \| november, 2009 \| 144 \| herogasm #1-6 row 6 : 6 \| the self-preservation society \| isbn 1-60690-125-7 \| march, 2010 \| 192 \| the boys #31-38 row 7 : 7 \| the innocents \| isbn 1-60690-150-8 \| december, 2010 \| 216 \| the boys #39-47 row 8 : 8 \| highland laddie \| isbn 1-60690-207-5 \| april, 2011 \| 144 \| highland laddie #1-6 row 9 : 9 \| the big ride \| isbn 1-60690-220-2 \| november 9, 2011 \| 276 \| the boys #48-59 row 10 : 10 \| butcher, baker, candlestickmaker \| isbn 1-60690-264-4 \| march 6, 2012 \| 144 \| butcher, baker, candlestickmaker #1 row 11 : 11 \| over the hill with the sword of a thousand \| isbn 1-60690-341-1 \| june/july, 2012 \| 152 \| the boys #60-65 row 12 : 12 \| the bloody doors off \| isbn 1-60690-373- \| december, 2012 \| 170 \| the boys #66-72 ] Execute this SQL based on the above table: select # - # where tpb isbn = 'isbn 91-33-30546-3'	0.0
[ header: rank \| heat \| name \| nationality \| time \| notes row 1 : 1 \| 1 \| lacena golding-clarke \| jamaica \| 12.74 \| q, pb row 2 : 2 \| 1 \| vonette dixon \| jamaica \| 12.83 \| q, pb row 3 : 3 \| 2 \| diane allahgreen \| england \| 12.92 \| q, pb row 4 : 4 \| 2 \| brigitte foster \| jamaica \| 12.98 \| q row 5 : 5 \| 2 \| angela atede \| nigeria \| 13.01 \| q, sb row 6 : 6 \| 1 \| angela whyte \| canada \| 13.03 \| q, pb row 7 : 7 \| 1 \| julie pratt \| england \| 13.08 \| q, pb row 8 : 8 \| 2 \| jacquie munro \| australia \| 13.22 \| q row 9 : 9 \| 1 \| melanie wilkins \| england \| 13.29 \| None row 10 : 9 \| 2 \| sriyani kulawans \| sri lanka \| 13.29 \| None row 11 : 11 \| 1 \| fiona cullen \| australia \| 13.45 \| None row 12 : 12 \| 2 \| rachel king \| wales \| 13.58 \| None row 13 : 13 \| 2 \| tamsin stephens \| northern ireland \| 13.59 \| None row 14 : 14 \| 1 \| christy akinremi \| nigeria \| 13.73 \| None row 15 : None \| 2 \| shabana khattak \| pakistan \| dnf \| None row 16 : None \| 1 \| carole kaboud mebam \| cameroon \| dns \| None row 17 : None \| 1 \| olutoyin augustus \| nigeria \| dns \| None ] Execute this SQL based on the above table: select count ( notes ) where time > 0	8
[ header: year \| starts \| wins \| top 5 \| top 10 \| poles \| avg. start \| avg. finish \| winnings \| position \| team(s) row 1 : 1986 \| 2 \| 0 \| 0 \| 0 \| 0 \| 21 \| 29 \| $535 \| 110th \| #31 grissom racing enterprises row 2 : 1987 \| 2 \| 0 \| 0 \| 0 \| 0 \| 17 \| 21.5 \| $975 \| 49th \| #39 grissom racing enterprises row 3 : 1988 \| 29 \| 0 \| 1 \| 4 \| 0 \| 23.6 \| 20.4 \| $45,391 \| 13th \| #39 grissom racing enterprises row 4 : 1989 \| 29 \| 0 \| 2 \| 5 \| 0 \| 23.1 \| 18.9 \| $71,822 \| 12th \| #9/#19 falcon racing row 5 : 1990 \| 31 \| 4 \| 11 \| 15 \| 1 \| 14.8 \| 13.2 \| $166,842 \| 3rd \| #31 grissom racing enterprises row 6 : 1991 \| 31 \| 1 \| 7 \| 13 \| 1 \| 20.5 \| 15.7 \| $152,206 \| 10th \| #31 grissom racing enterprises row 7 : 1992 \| 31 \| 1 \| 2 \| 7 \| 1 \| 19.7 \| 16.7 \| $170,716 \| 12th \| #31 grissom racing enterprises row 8 : 1994 \| 11 \| 0 \| 1 \| 1 \| 0 \| 27.5 \| 26.6 \| $39,475 \| 43rd \| #31 grissom racing enterprises row 9 : 1995 \| 15 \| 2 \| 4 \| 7 \| 0 \| 23.9 \| 15.6 \| $110,105 \| 26th \| #29 diamond ridge motorsports row 10 : 1996 \| 8 \| 1 \| 3 \| 4 \| 0 \| 25.9 \| 14.1 \| $90,942 \| 45th \| #29 diamond ridge motorsports row 11 : 1997 \| 1 \| 0 \| 0 \| 0 \| 0 \| 43 \| 39 \| $4,425 \| 114th \| #5 labonte motorsports row 12 : 1998 \| 2 \| 0 \| 0 \| 0 \| 1 \| 22 \| 23 \| $16,444 \| 77th \| #12 spencer motor ventures # row 13 : 1999 \| 12 \| 0 \| 0 \| 0 \| 0 \| 35.5 \| 30.6 \| $128,750 \| 52nd \| #74 bace motorsports #12 row 14 : 2000 \| 1 \| 0 \| 0 \| 0 \| 0 \| 43 \| 37 \| $7,925 \| 109th \| #8 petty enterprises row 15 : 2001 \| 1 \| 0 \| 0 \| 0 \| 0 \| 21 \| 26 \| $27,000 \| 151st \| #45 petty enterprises row 16 : 2002 \| 7 \| 0 \| 0 \| 0 \| 0 \| 30.6 \| 30.4 \| $86,830 \| 56th \| #34 frank cicci racing row 17 : 2003 \| 6 \| 0 \| 0 \| 0 \| 0 \| 37 \| 27.8 \| $83,825 \| 67th \| #07 dlp racing #61/ row 18 : 2004 \| 26 \| 0 \| 0 \| 0 \| 0 \| 37.3 \| 28.6 \| $482,604 \| 28th \| #36 dct motorsports # row 19 : 2005 \| 31 \| 0 \| 0 \| 0 \| 0 \| 40.3 \| 32.2 \| $602,395 \| 23rd \| #49 jay robinson racing row 20 : 2006 \| 2 \| 0 \| 0 \| 0 \| 0 \| 42 \| 30.5 \| $72,136 \| 98th \| #49 jay robinson racing row 21 : 2007 \| 1 \| 0 \| 0 \| 0 \| 0 \| 43 \| 25 \| $45,800 \| 133rd \| #34 frank cicci racing ] Execute this SQL based on the above table: select poles where starts = 1	0, 0, 0, 0
[ header: year \| film \| role \| notes row 1 : 1986 \| love 86 \| vikram doshi \| None row 2 : 1987 \| khudgarz \| kumar saxena \| None row 3 : 1987 \| sindoor \| ravi \| None row 4 : 1988 \| paap ko jalaa \| deepak malhotra \| None row 5 : 1988 \| halaal ki kamai \| kabir khanna \| None row 6 : 1988 \| shiv shakti \| shakti \| None row 7 : 1989 \| sachai ki ta \| sagar singh \| None row 8 : 1989 \| taaqatwar \| john d'mello \| None row 9 : 1990 \| maha-sangram \| arjun 'munna' \| None row 10 : 1990 \| izzatdaar \| vijay \| None row 11 : 1990 \| naya khoon \| dr. anand \| None row 12 : 1990 \| taqdeer ka tama \| satya \| None row 13 : 1990 \| awaargi \| dhiren kumar \| critically acclaimed role row 14 : 1992 \| baaz \| deva \| None row 15 : 1994 \| andaz apna a \| himself \| special appearance row 16 : 1994 \| beta ho to aisa \| raju \| None row 17 : 1996 \| maahir \| bhola \| None row 18 : 1996 \| apne dam par \| himself \| special appearance row 19 : 1997 \| deewana mastana \| bunnu \| nominated - filmfare best actor row 20 : 1997 \| do ankhen barah hath \| sagar \| None row 21 : 1998 \| achanak \| arjun \| None row 22 : 1998 \| naseeb \| krishna prasa \| None row 23 : 2000 \| kunwara \| raju \| nominated -filmfare award for row 24 : 2001 \| aamdani atthani k \| bhishma \| None row 25 : 2001 \| albela \| rocky hiranandani \| None row 26 : 2001 \| censor \| himself \| special appearance row 27 : 2002 \| pyaar diwana hota \| sunder \| None row 28 : 2002 \| chalo ishq ladaa \| pappu \| None row 29 : 2003 \| three roses \| himself \| tamil film - guest appearance row 30 : 2005 \| ssukh \| chandraprakash sharma \| None row 31 : 2007 \| partner \| bhaskar diwakar chow \| iifa best comedian award zee row 32 : 2013 \| samadhi \| deputy inspector general of police \| bengali debut row 33 : 2014 \| kill dil \| negative role \| filming (releasing on 5 september 2014) row 34 : 2014 \| hero \| None \| filming, (releasing on 12th dec ] Execute this SQL based on the above table: select count ( distinct notes )	9
[ header: wrestler: \| times: \| date: \| location: \| notes: row 1 : jonnie stewart \| 1 \| june 6, 1996 \| rochester, minnesota \| defeated larry gligorovich to row 2 : king kong bundy \| 1 \| march 31, 1999 \| oshkosh, wiscons \| later stripped of the title by owner dale row 3 : the patriot (danny dominion) \| 1 \| july 29, 2000 \| pine bluff, arkansa \| defeated dale gagne in an impro row 4 : ricky enrique \| 1 \| july 29, 2000 \| pine bluff, arkansa \| None row 5 : eric priest \| 1 \| june 3, 2001 \| hillside, illinois \| None row 6 : evan karagias \| 1 \| march 22, 2002 \| casa grande, arizona \| None row 7 : horshu \| 1 \| october 12, 2002 \| mercedes, texas \| stripped of the title due to missing mandatory title defense row 8 : evan karagias \| 2 \| july 6, 2003 \| lemoore, california \| defeated eric priest to win the vac row 9 : steve corino \| 1 \| june 11, 2005 \| bay city, michigan \| None row 10 : shinjiro otani \| 1 \| january 22, 2006 \| tokyo, japan \| None row 11 : takao omori \| 2 \| april 1, 2006 \| tokyo, japan \| None row 12 : ric converse \| 1 \| june 14, 2006 \| indianapolis, indiana \| None row 13 : steve corino \| 2 \| january 7, 2007 \| pottstown, pennsyl \| on march 23, 2007, corino lost the title row 14 : takao omori \| 3 \| march 31, 2007 \| yokohama, japan \| None row 15 : masato tanaka \| 1 \| october 26, 2007 \| tokyo, japan \| None row 16 : larry zbyszko \| 1 \| february 5, 2008 \| minneapolis, minnesot \| title awarded row 17 : brian logan \| None \| april 20, 2008 \| fayetteville, west virgini \| logan defeated zbyszko row 18 : ricky landell \| 1 \| october 11, 2008 \| indianapolis, indiana \| title becomes known as the wsl world row 19 : keith walker \| 1 \| february 21, 2009 \| michigan city, indiana \| None ] Execute this SQL based on the above table: select notes: where id = ( select id where notes: = 'stripped of the title due to missing mandatory title defenses' ) + 1	defeated eric priest to win the vacated title. karagias was fired in january 2005 by dale gagne for misconduct and refusal of defending the title as scheduled
[ header: year \| location(s) \| number of contestants \| ladies winner \| men's winner row 1 : 1965 \| skane, blekinge, \| 156 \| sweden inga-britt \| sweden nils bohman row 2 : 1966 \| smaland (4), vastergot \| 672 \| sweden kerstin gran \| finland juhani salmenky row 3 : 1967 \| motala \| 1 910 \| sweden ulla lindk \| sweden kalle johan row 4 : 1968 \| boras \| 3 250 \| sweden ulla lindk \| norway age hadler row 5 : 1970 \| kristianstad \| 6 378 \| sweden ulla lindk \| sweden bernt fril row 6 : 1972 \| eksjo \| 8 253 \| sweden ulla lindk \| sweden hans aurell row 7 : 1975 \| haninge \| 9 322 \| sweden anne lundmark \| finland matti makinen row 8 : 1976 \| ransater \| 14 843 \| hungary sarolta mon \| sweden gert pettersson row 9 : 1977 \| visby \| 7 186 \| finland liisa veija \| norway sigurd dæhli row 10 : 1979 \| orebro \| 15 842 \| sweden britt-marie \| sweden lars-henrik row 11 : 1981 \| mohed \| 18 983 \| sweden annichen kring \| sweden jorgen martens row 12 : 1982 \| lulea \| 13 631 \| sweden annichen kring \| sweden lars lon row 13 : 1985 \| falun \| 25 021 \| sweden annichen kring \| sweden joakim ingel row 14 : 1986 \| boras \| 17 353 \| sweden annichen kring \| sweden anders erik row 15 : 1989 \| ostersund \| 17 818 \| sweden barbro lonn \| sweden niklas lowe row 16 : 1991 \| arboga \| 16 581 \| sweden arja hannus \| sweden hakan eriks row 17 : 1992 \| sodertalje \| 17 806 \| sweden gunilla svar \| denmark allan mogensen row 18 : 1994 \| ornskoldsvik \| 14 414 \| sweden katarina \| norway petter thoresen row 19 : 1996 \| karlstad \| 17 007 \| sweden annika zell \| sweden jorgen martens row 20 : 1997 \| umea \| 11 179 \| sweden katarina \| sweden jorgen martens row 21 : 1998 \| gavle \| 13 249 \| norway hanne staff \| sweden johan ivar row 22 : 1999 \| borlange \| 15 238 \| sweden jenny jo \| sweden fredrik lowe row 23 : 2003 \| uddevalla \| 14 998 \| united kingdom heather monro \| finland mats haldin row 24 : 2005 \| skillingaryd \| 12 657 \| sweden emma eng \| sweden emil wingsted ] Execute this SQL based on the above table: select ( select number of contestants where men's winner = 'sweden fredrik lowegren' ) - ( select number of contestants where men's winner = 'finland matti makinen' )	6.0
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 6 september 1994 \| bazaly, ostrava \| malta \| 6-1 \| 6-1 \| euro 1996 qualifying row 2 : 2 \| 8 march 1995 \| stadion za luzan \| finland \| 1-0 \| 4-1 \| friendly row 3 : 3 \| 8 march 1995 \| stadion za luzan \| finland \| 2-0 \| 4-1 \| friendly row 4 : 4 \| 29 march 1995 \| bazaly, ostrava \| belarus \| 2-0 \| 4-2 \| euro 1996 qualifying row 5 : 5 \| 29 march 1995 \| bazaly, ostrava \| belarus \| 3-1 \| 4-2 \| euro 1996 qualifying row 6 : 6 \| 26 april 1995 \| letna stadium, prague \| netherlands \| 3-1 \| 3-1 \| euro 1996 qualifying row 7 : 7 \| 7 october 1995 \| dinamo stadium, minsk \| belarus \| 2-0 \| 2-0 \| euro 1996 qualifying row 8 : 8 \| 15 november 1995 \| letna stadium, prague \| luxembourg \| 3-0 \| 3-0 \| euro 1996 qualifying row 9 : 9 \| 30 june 1996 \| wembley stadium, london \| germany \| 1-0 \| 1-2 \| euro 1996 row 10 : 10 \| 18 september 1996 \| na stinadle \| malta \| 1-0 \| 6-0 \| 1998 world cup qualification row 11 : 11 \| 18 september 1996 \| na stinadle \| malta \| 3-0 \| 6-0 \| 1998 world cup qualification row 12 : 12 \| 26 february 1997 \| zimni stadion, pod \| belarus \| 4-1 \| 4-1 \| friendly row 13 : 13 \| 14 october 1998 \| na stinadle \| estonia \| 2-0 \| 4-1 \| euro 2000 qualifying row 14 : 14 \| 14 october 1998 \| na stinadle \| estonia \| 3-0 \| 4-1 \| euro 2000 qualifying row 15 : 15 \| 27 march 1999 \| na stinadle \| lithuania \| 2-0 \| 2-0 \| euro 2000 qualifying row 16 : 16 \| 5 june 1999 \| kadrioru stadium, tall \| estonia \| 1-0 \| 2-0 \| euro 2000 qualifying row 17 : 17 \| 8 september 1999 \| na stinadle \| bosnia and herzegovin \| 2-0 \| 3-0 \| euro 2000 qualifying row 18 : 18 \| 3 june 2000 \| frankenstadion, nurember \| germany \| 2-2 \| 2-3 \| friendly ] Execute this SQL based on the above table: select abs ( ( select # where result = '6-0' ) - ( select # where result = '4-1' ) ) - 1	7.0
[ header: boat # \| name \| builder \| laid down \| launched \| completed \| fate row 1 : 4918 \| ha-208 \| sasebo naval arsenal \| 01-05-1945 \| 26-05-1945 \| 04-08-1945 \| decommissioned 30-11-1945. scut row 2 : 4920 \| ha-210 \| sasebo naval arsenal \| 14-05-1945 \| 10-06-1945 \| 11-08-1945 \| decommissioned 30-11-1945. scut row 3 : 4925 \| ha-215 \| sasebo naval arsenal \| 22-05-1945 \| 15-05-1945 \| None \| incomplete until the end of war (95%). row 4 : 4931 \| ha-221 \| mitsubishi-kobe shipyard \| 20-04-1945 \| 04-08-1945 \| None \| incomplete until the end of war (85%). row 5 : 4933 \| ha-223 \| kawasaki-kobe shipyard \| 01-05-1945 \| None \| None \| incomplete until the end of war (60%). scrap row 6 : 4938 \| ha-228 \| sasebo naval arsenal \| 21-06-1945 \| 18-07-1945 \| None \| incomplete until the end of war (75%). row 7 : 4939 \| ha-229 \| sasebo naval arsenal \| 27-06-1945 \| 27-07-1945 \| None \| incomplete until the end of war (75%). scrap row 8 : 4942 \| ha-232 \| sasebo naval arsenal \| 18-07-1945 \| None \| None \| incomplete until the end of war (40%). later row 9 : 4944 \| ha-234 \| kawasaki-kobe shipyard \| 15-05-1945 \| None \| None \| incomplete until the end of war (50%). scrap row 10 : 4945 \| ha-235 \| kawasaki-senshu shipyard \| 01-06-1945 \| None \| None \| incomplete until the end of war (10%). later row 11 : 4946 \| ha-236 \| kawasaki-kobe shipyard \| 01-06-1945 \| None \| None \| incomplete until the end of war (40%). scrap row 12 : 4958 - 4989 \| None \| None \| None \| None \| None \| constructions were not started until the end of war ] Execute this SQL based on the above table: select count ( fate ) where name = 'ha-229' and name = 490	0
[ header: hand \| 1 credit \| 2 credits \| 3 credits \| 4 credits \| 5 credits row 1 : royal flush \| 250 \| 500 \| 750 \| 1000 \| 4000 row 2 : straight flush \| 60 \| 120 \| 180 \| 240 \| 400 row 3 : four aces \| 400 \| 800 \| 1200 \| 1600 \| 2000 row 4 : four of a kind, 2-4 \| 100 \| 200 \| 300 \| 400 \| 500 row 5 : four of a kind, 5-k \| 50 \| 100 \| 150 \| 200 \| 250 row 6 : full house \| 8 \| 16 \| 24 \| 32 \| 40 row 7 : flush \| 5 \| 10 \| 15 \| 20 \| 25 row 8 : straight \| 4 \| 8 \| 12 \| 16 \| 20 row 9 : three of a kind \| 3 \| 6 \| 9 \| 12 \| 15 row 10 : two pair \| 1 \| 2 \| 3 \| 4 \| 5 row 11 : jacks or better \| 1 \| 2 \| 3 \| 4 \| 5 row 12 : theoretical return \| 98.68% \| 98.68% \| 98.68% \| 98.68% \| 99.92% ] Execute this SQL based on the above table: select count ( distinct ( hand ) ) where id < ( select id where hand = 'four of a kind, 2-4' )	3
[ header: year \| single \| chart positions usa billboard hot dance club play \| chart positions polish charts \| album row 1 : 2008 \| "fall" \| None \| 2 \| natalia lesz row 2 : 2008 \| "power of attraction" \| 24 \| 5 \| natalia lesz row 3 : 2008 \| "miss you" \| None \| None \| natalia lesz row 4 : 2009 \| "cos za cos" \| None \| 1 \| that girl row 5 : 2010 \| "arabesque" \| 53 \| None \| natalia lesz row 6 : 2010 \| "radioactive" \| None \| 107 \| None row 7 : 2010 \| "that girl" \| None \| 7 \| that girl row 8 : 2012 \| "beat of my heart" \| None \| 98 \| that girl ] Execute this SQL based on the above table: select count ( album )	7
[ header: date \| race name \| d(f) \| course \| prize (£) \| odds \| runners \| place \| margin \| winner/runner-up \| time \| jockey row 1 : july 1879 \| chesterfield stakes \| 5 \| newmarket \| 1130 \| 9/4 \| 11 \| 1 \| 1 \| petal \| 0:59 \| charles wood row 2 : 29 july 1879 \| richmond stakes \| 6 \| goodwood \| 1762 \| None \| 8 \| 1 \| None \| None \| None \| None row 3 : august 1879 \| prince of wales stakes \| 5 \| york \| 340 \| 1/2 \| 9 \| 1 \| 0.5 \| brother to ersilia \| None \| fred archer row 4 : 1879 \| triennial produce stakes \| 10 \| newmarket \| 881 \| None \| 11 \| 1 \| None \| None \| None \| None row 5 : 1879 \| rous memorial stakes \| 5 \| newmarket \| 567 \| None \| 10 \| 1 \| None \| None \| None \| None row 6 : 26 may 1880 \| epsom derby \| 12 \| epsom downs \| 6375 \| 2/1 \| 19 \| 1 \| head \| robert the devil \| 2:48 \| fred archer row 7 : june 1880 \| st. james's palace \| 8 \| ascot \| 1550 \| 30/100 \| 5 \| 1 \| head \| fernandez \| None \| g fordham row 8 : 15 september 1880 \| st leger \| 14.5 \| doncaster \| 6100 \| 4/5 \| 12 \| 6 \| None \| robert the devil \| 3:32 \| None row 9 : 28 september 1880 \| great foal stakes \| 10 \| newmarket \| 2697 \| 9/2 \| 7 \| 2 \| head \| robert the devil \| 2:25 \| tom cannon row 10 : 14 october 1880 \| champion stakes \| 10 \| newmarket \| 2071 \| 5/4 \| 4 \| 2 \| 10 \| robert the devil \| 2:10 \| g fordham row 11 : 27 april 1881 \| city and suburban handicap \| 10 \| epsom downs \| 1230 \| 100/8 \| 24 \| 1 \| 1.5 \| foxhall \| 2:07 \| fred archer row 12 : 3 june 1881 \| epsom gold cup \| 12 \| epsom downs \| 500 \| None \| 2 \| 1 \| None \| robert the devil \| None \| None row 13 : 13 october 1881 \| champion stakes \| 10 \| newmarket \| 2087 \| 4/6 \| 8 \| 1 \| 0.75 \| scobell \| 2:23.6 \| fred archer row 14 : 25 october 1881 \| cambridgeshire stakes \| 9 \| newmarket \| 2017 \| 9/2 \| 32 \| 7 \| None \| foxhall \| 2:15.4 \| fred archer ] Execute this SQL based on the above table: select winner/runner-up group by winner/runner-up order by count ( odds ) desc limit 1	robert the devil
[ header: round \| pick \| player \| position \| nationality \| team \| college row 1 : t \| None \| wilt chamberlain \| c \| united states \| philadelphia warriors \| kansas row 2 : t \| None \| bob ferry \| f/c \| united states \| st. louis hawks \| saint louis row 3 : 1 \| 1 \| bob boozer \| f \| united states \| cincinnati royals \| kansas state row 4 : 1 \| 2 \| bailey howell \| f \| united states \| detroit pistons \| mississippi state row 5 : 1 \| 3 \| tom hawkins \| f \| united states \| minneapolis lakers \| notre dame row 6 : 1 \| 5 \| johnny green \| f/c \| united states \| new york knicks \| michigan state row 7 : 1 \| 6 \| john richter \| f \| united states \| boston celtics \| nc state row 8 : 2 \| 7 \| tom robitaille \| f/c \| united states \| detroit pistons (from cincin \| rice row 9 : 2 \| 8 \| don goldstein \| f \| united states \| detroit pistons \| louisville row 10 : 2 \| 9 \| joe ruklick \| f/c \| united states \| philadelphia warriors \| northwestern row 11 : 2 \| 10 \| rudy larusso \| f/c \| united states \| minneapolis lakers \| dartmouth row 12 : 2 \| 11 \| bumper tormohlen \| f/c \| united states \| syracuse nationals \| tennessee row 13 : 2 \| 12 \| al seiden \| g \| united states \| st. louis hawks ( \| st. john's row 14 : 2 \| 13 \| cal ramsey \| f \| united states \| st. louis hawks \| nyu row 15 : 2 \| 14 \| gene guarilia \| f \| united states \| boston celtics \| george washington row 16 : 3 \| 16 \| gary alcorn \| c \| united states \| detroit pistons \| fresno state row 17 : 3 \| 17 \| jim hockaday \| f \| united states \| philadelphia warriors \| memphis row 18 : 3 \| 18 \| bobby smith \| g \| united states \| minneapolis lakers \| west virginia row 19 : 3 \| 19 \| jon cincebox \| f \| united states \| syracuse nationals \| syracuse row 20 : 3 \| 20 \| bob anderegg \| g/f \| united states \| new york knicks \| michigan state row 21 : 3 \| 21 \| hank stein \| g \| united states \| st. louis hawks \| xavier row 22 : 3 \| 22 \| ralph crosthwaite \| c \| united states \| boston celtics \| western kentucky row 23 : 4 \| 23 \| leo byrd \| g \| united states \| cincinnati royals \| marshall row 24 : 4 \| 24 \| george lee \| g/f \| united states \| detroit pistons \| michigan row 25 : 4 \| 25 \| ron stevenson \| f \| united states \| philadelphia warriors \| tcu row 26 : 4 \| 26 \| wilson eison \| f \| united states \| minneapolis lakers \| purdue row 27 : 4 \| 27 \| paul neumann \| g \| united states \| syracuse nationals \| stanford row 28 : 4 \| 28 \| johnny cox \| g \| united states \| new york knicks \| kentucky row 29 : 5 \| 31 \| harry kirchner \| g/f \| united states \| detroit pistons \| tcu ] Execute this SQL based on the above table: select player where player != 'johnny green' and position = ( select position where player = 'johnny green' )	bob ferry, tom robitaille, joe ruklick, rudy larusso, bumper tormohlen
[ header: name \| position \| birth date/age at start of campaign \| games in campaign \| club row 1 : erich burgener \| gk \| february 15, 1951 (age 31) \| 3 \| servette row 2 : roger berbig \| gk \| november 6, 1954 (age 27) \| 3 \| grasshoppers row 3 : charly in-albon \| df \| june 23, 1957 (age 25) \| 4 \| grasshoppers row 4 : heinz ludi \| df \| october 8, 1958 (age 23 \| 4 \| fc zurich row 5 : beat rietmann \| df \| october 24, 1961 (age 20 \| 2 \| fc st. gallen row 6 : andy egli \| df \| may 8, 1958 (age 24) \| 6 \| grasshoppers row 7 : alain geiger \| df \| november 5, 1960 (age 21) \| 4 \| servette row 8 : marco schallibaum \| df \| april 6, 1962 (age 20) \| 1 \| grasshoppers row 9 : marcel koller \| df \| november 11, 1960 (age 21) \| 2 (both as sub) \| grasshoppers row 10 : rene botteron \| mf \| october 17, 1954 (age 27 \| 1 \| 1. fc nuremberg fc row 11 : heinz hermann \| mf \| march 28, 1958 (age 24) \| 6 \| grasshoppers row 12 : roger wehrli \| mf \| march 18, 1956 (age 26) \| 6 \| grasshoppers row 13 : lucien favre \| mf \| november 2, 1957 (age 24) \| 5 (1 as sub) \| toulouse servette row 14 : alfred scheiwiler \| mf \| february 4, 1956 (age 26) \| 1 \| lausanne row 15 : erni maissen \| mf \| january 1, 1958 (age 24) \| 1 (as sub) \| fc zurich fc basel row 16 : michel decastel \| mf \| october 22, 1955 (age 26 \| 3 \| servette row 17 : ruedi elsener \| mf \| february 18, 1953 (age 29) \| 4 \| None row 18 : umberto barberis \| mf \| june 5, 1952 (age 30) \| 3 (1 as sub) \| as monaco servette row 19 : andre ladner \| mf \| may 20, 1962 (age 20) \| 1 \| grasshoppers row 20 : jean-paul brigger \| st \| december 14, 1957 (age 24) \| 2 (1 as sub) \| servette row 21 : hans-peter zwicker \| st \| april 7, 1960 (age 22) \| 2 (both as sub) \| fc zurich lausanne row 22 : claudio sulser \| st \| october 8, 1955 (age 26 \| 5 \| grasshoppers row 23 : beat sutter \| st \| december 12, 1962 (age 19) \| 2 (1 as sub) \| fc basel row 24 : raimondo ponte \| st \| april 4, 1955 (age 27) \| 4 \| grasshoppers row 25 : manfred braschler \| st \| october 8, 1958 (age 23 \| 2 \| fc st. gallen ] Execute this SQL based on the above table: select club group by club order by count ( * ) desc limit 1	grasshoppers
[ header: number \| serial no \| entered service \| withdrawn \| kilometres travelled row 1 : 4101 \| 1000 \| 1 dec 1953 \| 6 jun 1973 \| 463,514 row 2 : 4102 \| 1002 \| 30 oct 1953 \| 30 jun 1975 \| 492,650 row 3 : 4103 \| 1003 \| 18 jan 1954 \| 2 apr 1974 \| 462,871 row 4 : 4104 \| 1004 \| 13 jan 1954 \| 12 oct 1973 \| 440,810 row 5 : 4105 \| 1005 \| 8 feb 1954 \| None \| None row 6 : 4106 \| 1006 \| 21 jan 1954 \| 4 aug 1972 \| 406,288 row 7 : 4107 \| 1007 \| 25 jan 1954 \| 11 aug 1973 \| 446,167 row 8 : 4108 \| 1008 \| 22 feb 1954 \| 20 dec 1967 \| 402,026 row 9 : 4109 \| 1009 \| 11 mar 1954 \| 9 feb 1972 \| 426,074 row 10 : 4110 \| 1010 \| 10 feb 1955 \| 20 may 1974 \| 476,489 ] Execute this SQL based on the above table: select entered service where entered service = '18 jan 1954'	18 jan 1954
[ header: operators \| named trains \| destination \| year begun \| year discontinued row 1 : baltimore and ohio \| capitol limited \| chicago, illinois via \| 1923 \| 1958 row 2 : baltimore and ohio \| metropolitan special \| st. louis, missouri \| ca. 1920 \| 1958 row 3 : baltimore and ohio \| national limited \| st. louis, missouri \| 1925 \| 1958 row 4 : baltimore and ohio \| royal blue \| washington, d.c \| 1890 \| 1958 row 5 : central railroad of new jersey \| blue comet \| atlantic city, new jersey \| 1929 \| 1941 row 6 : reading railroad with the central railroad of new jersey \| crusader \| philadelphia, pennsy \| 1937 \| 1967 row 7 : reading railroad with the central railroad of new jersey \| harrisburg special \| harrisburg, pennsyl \| None \| None row 8 : reading railroad with the central railroad of new jersey \| queen of the valley \| harrisburg, pennsyl \| None \| 1967 row 9 : reading railroad with the central railroad of new jersey \| wall street \| philadelphia, pennsy \| None \| None row 10 : reading railroad with the central railroad of new jersey \| williamsporter \| williamsport, pennsyl \| None \| None ] Execute this SQL based on the above table: select count ( operators ) where destination = 'harrisburg, pennsylvania'	2
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1990 \| central american and caribbean games \| mexico city, mexico \| 1st \| 3000 m s'chase \| None row 2 : 1991 \| pan american games \| havana city, cuba \| 6th \| 3000 m s'chase \| None row 3 : 1992 \| olympic games \| barcelona, spain \| 6th \| 10,000 m \| None row 4 : 1993 \| world championships \| stuttgart, germany \| 9th \| 10,000 m \| None row 5 : 1994 \| world half marathon championships \| oslo, norway \| 2nd \| half marathon \| 1:00:28 pb row 6 : 1994 \| new york city marathon \| new york city, united states \| 1st \| marathon \| None row 7 : 1994 \| london marathon \| london, england \| 3rd \| marathon \| None row 8 : 1995 \| world championships \| gothenburg, sweden \| 13th \| 10,000 m \| None row 9 : 1995 \| new york city marathon \| new york city, united states \| 1st \| marathon \| None row 10 : 1996 \| olympic games \| atlanta, united states \| 6th \| marathon \| None row 11 : 1997 \| new york city marathon \| new york city, united states \| 5th \| marathon \| None row 12 : 1997 \| boston marathon \| boston, united states \| 4th \| marathon \| None ] Execute this SQL based on the above table: select count ( * ) where venue = 'new york city, united states'	3
[ header: team \| winners \| runners-up \| years won \| years lost row 1 : bayern munich \| 5 \| 4 \| 1982, 1987, 1990, 2010, 2012 \| 1989, 1994, 2008, 2013 row 2 : borussia dortmund \| 5 \| 2 \| 1989, 1995, 1996, 2008, 2013 \| 2011, 2012 row 3 : werder bremen \| 4 \| 1 \| 1988, 1993, 1994, 2009 \| 1991 row 4 : kaiserslautern \| 1 \| 2 \| 1991 \| 1990, 1996 row 5 : schalke 04 \| 1 \| 2 \| 2011 \| 1940, 2010 row 6 : borussia monchengladbach \| 1 \| 1 \| 1977 \| 1995 row 7 : stuttgart \| 1 \| 0 \| 1992 \| None row 8 : dresdner sc \| 1 \| 0 \| 1940 \| None row 9 : hamburg \| 0 \| 3 \| None \| 1977, 1982, 1987 row 10 : eintracht frankfurt \| 0 \| 1 \| None \| 1988 row 11 : hannover 96 \| 0 \| 1 \| None \| 1992 row 12 : bayer leverkusen \| 0 \| 1 \| None \| 1993 row 13 : wolfsburg \| 0 \| 1 \| None \| 2009 ] Execute this SQL based on the above table: select years lost where id = ( select id where years lost = 1992 ) - 1	1988
[ header: rank \| title \| studio \| actors \| gross row 1 : 1 \| star wars \| lucasfilm/20th century fox \| mark hamill, harrison ford \| $460,998,007 row 2 : 2 \| smokey and the bandit \| universal/rastar \| burt reynolds, \| $300,000,000 row 3 : 3 \| close encounters of the third kind \| columbia \| richard dreyfuss, \| $166,000,000 row 4 : 7 \| oh, god! \| warner bros \| george burns, john denver \| $51,061,196 row 5 : 8 \| a bridge too far \| united artists \| dirk bogarde, james ca \| $50,800,000 row 6 : 10 \| the spy who loved me \| united artists \| roger moore, barbara \| $46,838,673 row 7 : 11 \| annie hall \| united artists \| woody allen and diane keat \| $38,251,425 row 8 : 12 \| semi-tough \| united artists \| burt reynolds, \| $37,187,139 row 9 : 13 \| pete's dragon \| disney \| helen reddy, mickey \| $36,000,000 row 10 : 15 \| the turning point \| 20th century fox \| shirley maclaine, anne \| $33,600,000 row 11 : 16 \| heroes \| universal \| henry winkler, sally \| $33,500,000 row 12 : 17 \| high anxiety \| 20th century fox \| mel brooks, madeline ka \| $31,063,038 row 13 : 18 \| exorcist ii: the here \| warner bros \| linda blair, richard \| $30,749,142 row 14 : 19 \| airport '77 \| universal \| jack lemmon, lee grant and \| $30,000,000 row 15 : 21 \| slap shot \| universal \| paul newman and strother martin \| $28,000,000 row 16 : 22 \| the other side of midnight \| 20th century fox \| marie-france pisier, \| $24,652,021 row 17 : 23 \| looking for mr. goodbar \| paramount \| diane keaton, t \| $22,512,655 row 18 : 24 \| for the love of benji \| mulberry square \| benjean, patsy garret \| $22,257,624 ] Execute this SQL based on the above table: select max ( rank )	8
[ header: rebounds \| off \| def \| player \| team \| date \| opponent \| score \| minutes played \| points \| assists \| steals \| blocks \| 20-20 \| led the league in rebounding \| notes row 1 : 37 \| 19 \| 18 \| moses malone \| houston rockets \| february 9, 1979 \| new orleans jazz \| 106-99 \| 44 \| 33 \| 2 \| None \| None \| yes \| yes \| 14 rebounds in the first quarter row 2 : 35 \| 16 \| 19 \| charles oakley \| chicago bulls \| april 22, 1988 \| cleveland cavaliers \| 103-107 \| 41 \| 26 \| 3 \| 1 \| 0 \| yes \| no \| second to last game of season, in a row 3 : 34 \| 5 \| 29 \| kareem abdul-ja \| los angeles lakers \| december 14, 1975 \| detroit pistons \| 110-100 \| 42 \| 27 \| 6 \| None \| None \| yes \| yes \| nba single-game record for defensive row 4 : 34 \| 18 \| 16 \| dennis rodman \| detroit pistons \| march 4, 1992 \| indiana pacers \| 110-107 \| 45 \| 10 \| 3 \| 2 \| 0 \| no \| yes \| overtime. 21 rebounds in the second half, row 5 : 32 \| 4 \| 28 \| elvin hayes \| capital bullets \| november 17, 1973 \| atlanta hawks \| 115-109 \| 48 \| 43 \| 0 \| None \| None \| yes \| yes \| on hayes's 28th birthday row 6 : 32 \| 7 \| 25 \| robert parish \| golden state warriors \| march 30, 1979 \| new york knicks \| 114-98 \| 36 \| 30 \| 5 \| 1 \| 2 \| yes \| no \| 11 rebounds in the first quarter. 15 row 7 : 32 \| 7 \| 25 \| swen nater (2) \| san diego clippers \| december 14, 1979 \| denver nuggets \| 112-108 \| 44 \| 12 \| 3 \| None \| None \| no \| yes \| 21 rebounds in the second half. 18 defensive row 8 : 32 \| 9 \| 23 \| dennis rodman (3) \| san antonio spurs \| january 22, 1994 \| dallas mavericks \| 103-83 \| 43 \| 8 \| 5 \| 1 \| 1 \| no \| yes \| 13 defensive rebounds in the first half row 9 : 31 \| 14 \| 17 \| larry smith \| golden state warriors \| march 28, 1981 \| denver nuggets \| 139-142 \| 45 \| 23 \| 5 \| None \| 0 \| yes \| no \| rookie. last warriors home game of season row 10 : 31 \| 8 \| 23 \| dikembe mutombo \| denver nuggets \| march 26, 1996 \| charlotte hornets \| 112-119 \| 51 \| 16 \| 0 \| 1 \| 6 \| no \| no \| double overtime row 11 : 30 \| 10 \| 20 \| george t. johnson \| golden state warriors \| march 15, 1974 \| los angeles lakers \| 112-107 \| 48 \| 14 \| 7 \| None \| 1 \| no \| no \| elmore smith of the lakers row 12 : 30 \| 6 \| 24 \| wes unseld \| washington bullets \| april 6, 1975 \| new orleans jazz \| 119-103 \| 46 \| 11 \| 5 \| None \| None \| no \| yes \| last game of season; won season rebounding title row 13 : 30 \| 7 \| 23 \| kareem abdul-ja \| los angeles lakers \| february 3, 1978 \| new jersey nets \| 105-99 \| 48 \| 37 \| 5 \| None \| None \| yes \| no \| overtime ] Execute this SQL based on the above table: select score order by off desc limit 1	106-99
[ header: year \| category \| nominee(s) \| episode \| result row 1 : 1983 \| outstanding individual achievement in graphic design and title sequences \| james castle, bruce bry \| "show down: part 1" \| won row 2 : 1983 \| outstanding achievement in music and lyrics \| gary portnoy, judy \| "give me a ring sometime" \| nominated row 3 : 1983 \| outstanding art direction for a series \| george gaines, richard \| "give me a ring sometime" \| nominated row 4 : 1983 \| outstanding film editing for a series \| andrew chulack \| "endless slumper" \| nominated row 5 : 1984 \| outstanding live and tape sound mixing and sound effects for \| sam black, douglas gray, \| "no help wanted" \| nominated row 6 : 1986 \| outstanding editing for a series (multi-cam \| andy ackerman \| "birth, death, love and rice" \| nominated row 7 : 1986 \| outstanding editing for a series (multi-cam \| douglas hines \| "the triangle" \| nominated row 8 : 1987 \| outstanding sound mixing for a comedy series or \| michael ballin, bob do \| "the proposal" \| won row 9 : 1987 \| outstanding editing for a series (multi-cam \| andy ackerman \| "cheers: the motion picture" \| nominated row 10 : 1988 \| outstanding editing for a series (multi-cam \| andy ackerman \| "the big kiss-off" \| won row 11 : 1988 \| outstanding sound mixing for a comedy series or \| bob douglas, doug grey \| "the last angry mailman" \| nominated row 12 : 1989 \| outstanding sound mixing for a comedy series or \| sam black, robert \| "jumping jerks" \| nominated row 13 : 1990 \| outstanding sound mixing for a comedy series or \| sam black, robert \| "the stork brings a crane" \| won row 14 : 1991 \| outstanding editing for a miniseries or \| andy ackerman \| "cheers 200th anniversary special" \| nominated row 15 : 1991 \| outstanding editing for a series (multi-cam \| andy ackerman \| "the days of wine and neuroses" \| nominated row 16 : 1991 \| outstanding editing for a series (multi-cam \| sheila amos \| "rat girl" \| nominated row 17 : 1992 \| outstanding individual achievement in editing for a series ( \| robert bramwell, peter \| "an old fashioned wedding" \| nominated row 18 : 1992 \| outstanding individual achievement in sound mixing for a comedy \| sam black, robert \| "bar wars iv: this time \| nominated row 19 : 1993 \| outstanding individual achievement in editing for a series ( \| robert bramwell \| "one for the road" \| won ] Execute this SQL based on the above table: select episode where episode = '"show down: part 1"' order by category asc limit 597	"show down: part 1"
[ header: pos \| rider \| manufacturer \| laps \| time/retired \| grid \| points row 1 : 1 \| manuel poggiali \| gilera \| 25 \| 41:18.211 \| 1 \| 25 row 2 : 2 \| dani pedrosa \| honda \| 25 \| 0.019 \| 4 \| 20 row 3 : 3 \| steve jenkner \| aprilia \| 25 \| 9.888 \| 3 \| 16 row 4 : 4 \| lucio cecchinello \| aprilia \| 25 \| 15.397 \| 5 \| 13 row 5 : 5 \| simone sanna \| aprilia \| 25 \| 15.452 \| 8 \| 11 row 6 : 6 \| joan olive \| honda \| 25 \| 15.486 \| 20 \| 10 row 7 : 7 \| stefano bianco \| aprilia \| 25 \| 15.549 \| 11 \| 9 row 8 : 8 \| pablo nieto \| aprilia \| 25 \| 16.218 \| 2 \| 8 row 9 : 9 \| mika kallio \| honda \| 25 \| 22.762 \| 10 \| 7 row 10 : 10 \| mirko giansanti \| honda \| 25 \| 22.839 \| 16 \| 6 row 11 : 11 \| arnaud vincent \| aprilia \| 25 \| 23.067 \| 23 \| 5 row 12 : 12 \| andrea ballerini \| honda \| 25 \| 23.134 \| 18 \| 4 row 13 : 13 \| stefano perugini \| italjet \| 25 \| 43.345 \| 17 \| 3 row 14 : 14 \| jorge lorenzo \| derbi \| 25 \| 43.973 \| 7 \| 2 row 15 : 15 \| masao azuma \| honda \| 25 \| 47.189 \| 13 \| 1 row 16 : 16 \| jakub smrz \| honda \| 25 \| 47.333 \| 24 \| None row 17 : 17 \| gianluigi scalvini \| aprilia \| 25 \| 52 \| 22 \| None row 18 : 18 \| hector barbera \| aprilia \| 25 \| +1:11.358 \| 27 \| None row 19 : 19 \| mattia angeloni \| gilera \| 25 \| +1:11.488 \| 29 \| None row 20 : 20 \| alex baldolini \| aprilia \| 25 \| +1:21.603 \| 32 \| None row 21 : 21 \| jaroslav hules \| aprilia \| 25 \| +1:21.681 \| 15 \| None row 22 : 22 \| julian simon \| honda \| 25 \| +1:31.723 \| 26 \| None row 23 : 23 \| imre toth \| honda \| 25 \| +1:31.794 \| 31 \| None row 24 : 24 \| leon camier \| italjet \| 24 \| +1 lap \| 33 \| None row 25 : ret \| chaz davies \| aprilia \| 18 \| retirement \| 21 \| None row 26 : ret \| michel fabrizio \| gilera \| 14 \| accident \| 19 \| None row 27 : ret \| youichi ui \| derbi \| 13 \| accident \| 6 \| None row 28 : ret \| alex de angelis \| aprilia \| 13 \| accident \| 12 \| None row 29 : ret \| angel rodriguez \| aprilia \| 4 \| retirement \| 25 \| None row 30 : ret \| gino borsoi \| aprilia \| 0 \| accident \| 9 \| None row 31 : ret \| andrea dovizioso \| honda \| 0 \| accident \| 14 \| None row 32 : ret \| alessandro brannetti \| honda \| 0 \| accident \| 30 \| None row 33 : ret \| alvaro bautista \| aprilia \| 0 \| accident \| 28 \| None row 34 : dnq \| javier machado \| honda \| None \| None \| None \| None ] Execute this SQL based on the above table: select rider where pos <= 11 order by time/retired asc limit 1	mirko giansanti
[ header: year \| winner \| score \| county \| opponent \| score \| county row 1 : 2013-14 \| mount leinster rangers \| 0-11 \| carlow \| oulart-the-ballagh \| 0-08 \| wexford row 2 : 2010-11 \| o'loughlin gaels \| 0-14 \| kilkenny \| oulart-the-ballagh \| 1-08 \| wexford row 3 : 2009-10 \| ballyhale shamrocks \| 1-16 \| kilkenny \| tullamore \| 1-08 \| offaly row 4 : 2007-08 \| birr \| 1-11 \| offaly \| ballyboden st endas \| 0-13 \| dublin row 5 : 2006-07 \| ballyhale shamrocks \| 1-20 \| kilkenny \| birr \| 1-08 \| offaly row 6 : 2005-06 \| james stephens \| 2-13 \| kilkenny \| ucd \| 1-12 \| dublin row 7 : 2004-05 \| james stephens \| 1-13 \| kilkenny \| ucd \| 1-12 \| dublin row 8 : 2003-04 \| o'loughlin gaels \| 0-15 \| kilkenny \| birr \| 0-09 \| offaly row 9 : 2002-03 \| birr \| 2-05 \| offaly \| gowran \| 1-02 \| kilkenny row 10 : 2001-02 \| birr \| 0-10; 2-10 \| offaly \| castletown \| 1-07; 0-05 \| laois row 11 : 2000-01 \| graigue-ballycallan \| 0-14 \| kilkenny \| ucd \| 1-08 \| dublin row 12 : 1999-00 \| birr \| 1-16 \| offaly \| castletown \| 0-11 \| laois row 13 : 1998-99 \| rathnure \| 1-13 \| wexford \| portlaoise \| 1-06 \| laois row 14 : 1997-98 \| birr \| 0-11 \| offaly \| castletown \| 0-05 \| laois row 15 : 1995-96 \| glenmore \| 2-13 \| kilkenny \| oulart-the-ballagh \| 2-10 \| wexford row 16 : 1994-95 \| birr \| 3-07 \| offaly \| oulart-the-ballagh \| 2-05 \| wexford row 17 : 1992-93 \| buffer's alley \| 2-13 \| wexford \| st. rynagh's \| 0-13 \| offaly row 18 : 1991-92 \| birr \| 2-14 \| offaly \| ballyhale shamrocks \| 0-03 \| kilkenny row 19 : 1990-91 \| glenmore \| 0-15 \| kilkenny \| camross \| 1-09 \| laois row 20 : 1987-88 \| rathnure \| 3-08 \| wexford \| portlaoise \| 1-13 \| laois row 21 : 1986-87 \| rathnure \| 2-16 \| wexford \| camross \| 3-09 \| laois row 22 : 1980-81 \| ballyhale shamrocks \| 3-10 \| kilkenny \| coolderry \| 1-08 \| offaly row 23 : 1979-80 \| crumlin \| 3-05 \| dublin \| camross \| 0-11 \| laois row 24 : 1978-79 \| ballyhale shamrocks \| 1-13 \| kilkenny \| crumlin \| 1-06 \| dublin row 25 : 1977-78 \| rathnure \| 0-16 \| wexford \| the fenians \| 1-10 \| kilkenny row 26 : 1976-77 \| camross \| 3-09 \| laois \| james stephens \| 1-14 \| kilkenny row 27 : 1973-74 \| rathnure \| 1-18 \| wexford \| st. rynagh's \| 2-09 \| offaly ] Execute this SQL based on the above table: select count ( winner )	27
[ header: week \| date \| opponent \| result \| game site \| attendance row 1 : 1 \| september 11, 1960 \| at new york titans \| l 27-3 \| polo grounds \| 10,200 row 2 : 2 \| september 18, 1960 \| denver broncos \| l 27-21 \| war memorial stadium \| 15,229 row 3 : 3 \| september 23, 1960 \| at boston patriots \| w 13-0 \| nickerson field \| 20,732 row 4 : 4 \| october 2, 1960 \| los angeles chargers \| l 24-10 \| war memorial stadium \| 15,821 row 5 : 6 \| october 16, 1960 \| new york titans \| l 17-13 \| war memorial stadium \| 14,988 row 6 : 7 \| october 23, 1960 \| oakland raiders \| w 38-9 \| war memorial stadium \| 8,876 row 7 : 8 \| october 30, 1960 \| houston oilers \| w 25-24 \| war memorial stadium \| 23,001 row 8 : 9 \| november 6, 1960 \| dallas texans \| l 45-28 \| war memorial stadium \| 19,610 row 9 : 10 \| november 13, 1960 \| at oakland raiders \| l 20-7 \| kezar stadium \| 8,800 row 10 : 11 \| november 20, 1960 \| at los angeles chargers \| w 32-3 \| los angeles memorial coliseum \| 16,161 row 11 : 12 \| november 27, 1960 \| at denver broncos \| t 38-38 \| bears stadium \| 7,785 row 12 : 13 \| december 4, 1960 \| boston patriots \| w 38-14 \| war memorial stadium \| 14,335 row 13 : 14 \| december 11, 1960 \| at houston oilers \| l 31-23 \| jeppesen stadium \| 25,243 row 14 : 15 \| december 18, 1960 \| at dallas texans \| l 24-7 \| cotton bowl \| 18,000 ] Execute this SQL based on the above table: select week where opponent = 'at dallas texans'	15.0
[ header: # \| president \| president's party \| senate with \| senate opposed \| house with \| house opposed \| years served \| elections won row 1 : 1 \| george washington \| federalist-leaning \| 8 \| 0 \| 6 \| 2 \| 8 \| 2 row 2 : 3 \| thomas jefferson \| democratic-republican \| 8 \| 0 \| 8 \| 0 \| 8 \| 2 row 3 : 4 \| james madison \| democratic-republican \| 8 \| 0 \| 8 \| 0 \| 8 \| 2 row 4 : 7 \| andrew jackson \| democratic \| 8 \| 0 \| 8 \| 0 \| 8 \| 2 row 5 : 8 \| martin van buren \| democratic \| 4 \| 0 \| 4 \| 0 \| 4 \| 1 row 6 : 10 \| john tyler \| whig/none \| 4 \| 0 \| 2 \| 2 \| 4 \| 0 row 7 : 13 \| millard fillmore \| whig \| 0 \| 3 \| 0 \| 3 \| 3 \| 0 row 8 : 15 \| james buchanan \| democratic \| 4 \| 0 \| 2 \| 2 \| 4 \| 1 row 9 : 16 \| abraham lincoln \| republican \| 4 \| 0 \| 4 \| 0 \| 4 \| 2 row 10 : 17 \| andrew johnson \| democratic \| 0 \| 4 \| 0 \| 4 \| 4 \| 0 row 11 : 18 \| ulysses grant \| republican \| 8 \| 0 \| 6 \| 2 \| 8 \| 2 row 12 : 20 \| james garfield \| republican \| 0 \| 0.5 \| 0.5 \| 0 \| 0.5 \| 1 row 13 : 21 \| chester arthur \| republican \| 4 \| 0 \| 2 \| 2 \| 4 \| 0 row 14 : 24 \| grover cleveland \| democratic \| 2 \| 2 \| 2 \| 2 \| 4 \| 1 row 15 : 25 \| william mckinley \| republican \| 4 \| 0 \| 4 \| 0 \| 4 \| 2 row 16 : 26 \| theodore roosevel \| republican \| 8 \| 0 \| 8 \| 0 \| 8 \| 1 row 17 : 27 \| william taft \| republican \| 4 \| 0 \| 2 \| 2 \| 4 \| 1 row 18 : 28 \| woodrow wilson \| democratic \| 6 \| 2 \| 6 \| 2 \| 8 \| 2 row 19 : 29 \| warren harding \| republican \| 2 \| 0 \| 2 \| 0 \| 2 \| 1 row 20 : 30 \| calvin coolidge \| republican \| 6 \| 0 \| 6 \| 0 \| 6 \| 1 row 21 : 31 \| herbert hoover \| republican \| 4 \| 0 \| 2 \| 2 \| 4 \| 1 row 22 : 34 \| dwight eisenhower \| republican \| 2 \| 6 \| 2 \| 6 \| 8 \| 2 row 23 : 36 \| lyndon johnson \| democratic \| 5 \| 0 \| 5 \| 0 \| 5 \| 1 row 24 : 38 \| gerald ford \| republican \| 0 \| 2 \| 0 \| 2 \| 2 \| 0 row 25 : 39 \| jimmy carter \| democratic \| 4 \| 0 \| 4 \| 0 \| 4 \| 1 row 26 : 41 \| george h. w. bush \| republican \| 0 \| 4 \| 0 \| 4 \| 4 \| 1 row 27 : 42 \| bill clinton \| democratic \| 2 \| 6 \| 2 \| 6 \| 8 \| 2 row 28 : 43 \| george w. bush \| republican \| 4.5 \| 3.5 \| 6 \| 2 \| 8 \| 2 row 29 : 44 \| barack obama \| democratic \| 6 \| 0 \| 2 \| 4 \| 6 \| 2 ] Execute this SQL based on the above table: select ( select president where president = 'theodore roosevelt' ) - 1467	-1467
[ header: genre \| date \| japanese title (original title) \| english title \| scoring \| notes row 1 : orchestral \| 1988 \| トゥリー・ライン \| tree line \| for chamber orchestra \| early title: 並木 (namiki?) row 2 : concertante \| 1971 \| カシオヘア \| cassiopeia \| for percussion solo and orchestra \| None row 3 : concertante \| 1981 \| 海へ ii 夜白鯨 \| toward the sea ii the night moby \| for alto flute, harp and string \| None row 4 : concertante \| 1995 \| スヘクトラル・カンティクル \| spectral canticle \| for violin, guitar and orchestra \| None row 5 : chamber music \| 1965 \| ソナント \| sonant \| for 2 flutes, violin, cello, \| revised as valeria in 1969 row 6 : chamber music \| 1982 \| クロス・ハッチ \| cross hatch \| for marimba and vibraphone (or 2 \| None row 7 : chamber music \| 1987 \| オール・イン・トワイライト - キターのための四つの小品 - \| all in twilight, 4 pieces \| for guitar \| written for julian bream row 8 : keyboard \| 1948 \| かけひ \| kakehi (conduit) \| for piano \| None row 9 : keyboard \| 1949 \| 二つの小品 \| 2 pieces \| for piano \| None row 10 : keyboard \| 1950 \| 二つのレント \| lento in due movimenti \| for piano \| revised as litany in 1989 row 11 : choral \| 1963 \| 三重県伊賀市上野西小学校校歌 \| kamino nishi elementary school song \| None \| school song; words by keiji hash row 12 : choral \| 1982 \| 芝生 \| grass \| for male chorus \| words by shuntaro ta row 13 : vocal \| 1955 \| 小さな部屋て \| in a small room (chiisana \| for voice and piano \| words by akira kawaji row 14 : vocal \| 1963 \| 雲に向かって起つ \| take off for the clouds (kumo \| None \| song for a television drama; words by row 15 : vocal \| 1985 \| 明日ハ晴レカナ、曇リカナ \| will tomorrow, i wonder, be cloudy \| for voice and piano \| words by the composer row 16 : stage \| 1956 \| タンタロスの踊り \| tantalos no odori \| None \| incidental music for the play by ri row 17 : stage \| 1961 \| おまえの敵はおまえた \| omae no teki wa \| None \| incidental music for the play by jun is row 18 : electronic music \| 1970 \| None \| years of ear - what is music? \| for tape \| None row 19 : commercial music \| 1982 \| サントリーリサーフ \| suntory reserve \| None \| None row 20 : film scores \| 1955 \| 北斎 \| hokusai \| None \| not produced row 21 : film scores \| 1962 \| 切腹 \| harakiri \| None \| directed by masaki kobayashi row 22 : film scores \| 1964 \| 乾いた花 \| pale flower \| None \| directed by masahiro shinod row 23 : film scores \| 1965 \| 美しさと哀しみと \| with beauty and sadness \| None \| directed by masahiro shinod row 24 : film scores \| 1965 \| 四谷怪談 \| yotsuya ghost story \| None \| directed by shiro toyod row 25 : film scores \| 1966 \| 他人の顔 \| the face of another \| None \| directed by hiroshi teshiga ] Execute this SQL based on the above table: select english title where japanese title (original title) = '切腹' group by english title order by count ( * ) desc limit 1	harakiri

inputs stringlengths 291 3.71k	targets stringlengths 1 2.65k
[ header: # \| title \| tpb isbn \| tpb release date \| tpb page number \| collected material row 1 : 1 \| the name of the game \| isbn 91-33-30546-3 \| june, 2007 \| 152 \| the boys #1-6 row 2 : 2 \| get some \| isbn 1-933305-68-1 \| march, 2008 \| 192 \| the boys #7-14 row 3 : 3 \| good for the soul \| isbn 1-933305-92-4 \| october, 2008 \| 192 \| the boys #15-22 row 4 : 4 \| we gotta go now \| isbn 1-84856-298-5 \| july, 2009 \| 192 \| the boys #23-30 row 5 : 5 \| herogasm \| isbn 1-60690-082-x \| november, 2009 \| 144 \| herogasm #1-6 row 6 : 6 \| the self-preservation society \| isbn 1-60690-125-7 \| march, 2010 \| 192 \| the boys #31-38 row 7 : 7 \| the innocents \| isbn 1-60690-150-8 \| december, 2010 \| 216 \| the boys #39-47 row 8 : 8 \| highland laddie \| isbn 1-60690-207-5 \| april, 2011 \| 144 \| highland laddie #1-6 row 9 : 9 \| the big ride \| isbn 1-60690-220-2 \| november 9, 2011 \| 276 \| the boys #48-59 row 10 : 10 \| butcher, baker, candlestickmaker \| isbn 1-60690-264-4 \| march 6, 2012 \| 144 \| butcher, baker, candlestickmaker #1 row 11 : 11 \| over the hill with the sword of a thousand \| isbn 1-60690-341-1 \| june/july, 2012 \| 152 \| the boys #60-65 row 12 : 12 \| the bloody doors off \| isbn 1-60690-373- \| december, 2012 \| 170 \| the boys #66-72 ] Execute this SQL based on the above table: select title order by # desc limit 1	the bloody doors off
[ header: outcome \| no. \| date \| tournament \| surface \| partner \| opponents in the final \| score in the final row 1 : winner \| 1 \| 12 march 1978 \| dallas \| carpet \| martina navratilova \| evonne goolagong bett \| 6-3, 7-6 row 2 : runner-up \| 3 \| 18 february 1979 \| los angeles \| hard (i) \| martina navratilova \| rosemary casals chris evert \| 4-6, 6-1, 3-6 row 3 : winner \| 4 \| 12 august 1979 \| indianapolis \| clay \| kathy jordan \| penny johnson paula smith \| 6-1, 6-0 row 4 : winner \| 5 \| 28 october 1979 \| tampa \| hard \| virginia ruzici \| ilana kloss bett \| 7-5, 4-6, 7-5 row 5 : winner \| 6 \| 25 november 1979 \| brighton \| carpet \| ann kiyomura \| ilana kloss laura \| 6-2, 6-1 row 6 : runner-up \| 5 \| 2 december 1979 \| melbourne \| grass \| dianne fromholtz \| billie jean king wendy \| 3-6, 3-6 row 7 : runner-up \| 6 \| 10 february 1980 \| los angeles \| hard (i) \| kathy jordan \| rosemary casals martina navrati \| 6-7, 2-6 row 8 : winner \| 8 \| 7 june 1980 \| french open \| clay \| kathy jordan \| ivanna madruga ad \| 6-1, 6-0 row 9 : runner-up \| 10 \| 5 october 1980 \| minneapolis \| carpet \| paula smith \| ann kiyomura candy \| 3-6, 6-4, 1-6 row 10 : runner-up \| 12 \| 16 november 1980 \| tampa \| hard \| paula smith \| rosemary casals candy reynolds \| 6-7, 5-7 row 11 : runner-up \| 13 \| 15 march 1981 \| dallas \| carpet \| kathy jordan \| martina navratilova pa \| 5-7, 4-6 row 12 : runner-up \| 14 \| 21 june 1981 \| eastbourne \| grass \| kathy jordan \| martina navratilova pa \| 7-6, 2-6, 1-6 row 13 : runner-up \| 16 \| 16 august 1981 \| richmond \| carpet \| kathy jordan \| sue barker ann kiyo \| 6-4, 6-7, 4-6 row 14 : runner-up \| 20 \| 17 january 1982 \| cincinnati \| carpet \| pam shriver \| sue barker ann kiyo \| 2-6, 6-7 row 15 : runner-up \| 21 \| 24 january 1982 \| seattle \| carpet \| kathy jordan \| rosemary casals wendy turnbull \| 5-7, 4-6 row 16 : runner-up \| 30 \| 20 february 1983 \| chicago \| carpet \| kathy jordan \| martina navratilova pa \| 1-6, 2-6 row 17 : runner-up \| 32 \| 3 april 1983 \| tokyo \| carpet \| kathy jordan \| billie jean king shar \| 1-6, 1-6 row 18 : winner \| 24 \| 24 april 1983 \| orlando \| clay \| billie jean king \| martina navratilova pa \| 6-3, 1-6, 7-6 row 19 : winner \| 26 \| 31 march 1985 \| palm beach gardens \| clay \| joanne russell \| laura arraya gabriela sa \| 1-6, 6-1, 7-6(4) ] Execute this SQL based on the above table: select surface order by no. desc limit 1	carpet
[ header: administrative area \| area km2 \| area sq mi \| population \| administrative centre row 1 : saint helena \| 122 \| 47 \| 5809 \| jamestown row 2 : ascension island \| 91 \| 35 \| 1532 \| georgetown row 3 : tristan da cunha \| 184 \| 71 \| 388 \| edinburgh of the seven seas row 4 : tristan da cunha \| 98 \| 38 \| 382 \| edinburgh of the seven seas row 5 : inaccessible island \| 14 \| 5 \| 0 \| denstone hut row 6 : nightingale island \| 3.2 \| 1 \| 0 \| west landing row 7 : gough island \| 68 \| 26 \| 6 \| transvaal bay row 8 : total \| 397 \| 153 \| 7729 \| jamestown ] Execute this SQL based on the above table: select administrative centre where administrative centre in ( 'edinburgh of the seven seas' , 'denstone hut' ) order by administrative area desc limit 1	edinburgh of the seven seas
[ header: pump type and source \| typical use \| 35 °c (e.g. heated screed floor) \| 45 °c (e.g. heated screed floor) \| 55 °c (e.g. heated timber floor) \| 65 °c (e.g. radiator or dhw) \| 75 °c (e.g. radiator and dhw) \| 85 °c (e.g. radiator and dhw) row 1 : high-efficiency air source heat pump (ashp \| None \| 2.2 \| 2 \| None \| None \| None \| None row 2 : two-stage ashp, air at \| low source temperature \| 2.4 \| 2.2 \| 1.9 \| None \| None \| None row 3 : high efficiency ashp, air at 0 \| low output temperature \| 3.8 \| 2.8 \| 2.2 \| 2 \| None \| None row 4 : prototype transcritical co 2 (r744) heat \| high output temperature \| 3.3 \| None \| None \| 4.2 \| None \| 3 row 5 : ground source heat pump (gshp), \| None \| 5 \| 3.7 \| 2.9 \| 2.4 \| None \| None row 6 : gshp, ground at 10 \| low output temperature \| 7.2 \| 5 \| 3.7 \| 2.9 \| 2.4 \| None row 7 : theoretical carnot cycle limit, source -20 \| None \| 5.6 \| 4.9 \| 4.4 \| 4 \| 3.7 \| 3.4 row 8 : theoretical carnot cycle limit, source 0 \| None \| 8.8 \| 7.1 \| 6 \| 5.2 \| 4.6 \| 4.2 row 9 : theoretical lorentzen cycle limit (co 2 \| None \| 10.1 \| 8.8 \| 7.9 \| 7.1 \| 6.5 \| 6.1 row 10 : theoretical carnot cycle limit, source 10 ° \| None \| 12.3 \| 9.1 \| 7.3 \| 6.1 \| 5.4 \| 4.8 ] Execute this SQL based on the above table: select 35 °c (e.g. heated screed floor) where 35 °c (e.g. heated screed floor) in ( 5 , 5 ) group by 35 °c (e.g. heated screed floor) order by count ( pump type and source ) desc limit 1	5
[ 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 sum ( country ) where 2008 attendance = 3495	0.0
[ header: season \| level \| division \| section \| administration \| position \| movements row 1 : 1999 \| tier 2 \| ykkonen (first division) \| south group \| finnish fa (suo \| 9th \| relegation group - relegate row 2 : 2000 \| tier 3 \| kakkonen (second division) \| south group \| finnish fa (suo \| 2nd \| play-offs - promoted row 3 : 2001 \| tier 2 \| ykkonen (first division) \| south group \| finnish fa (suo \| 9th \| relegated row 4 : 2002 \| tier 3 \| kakkonen (second division) \| south group \| finnish fa (suo \| 2nd \| None row 5 : 2003 \| tier 3 \| kakkonen (second division) \| south group \| finnish fa (suo \| 11th \| relegated row 6 : 2004 \| tier 4 \| kolmonen (third division) \| section 3 \| helsinki & u \| 8th \| None row 7 : 2005 \| tier 4 \| kolmonen (third division) \| section 3 \| helsinki & u \| 6th \| None row 8 : 2006 \| tier 4 \| kolmonen (third division) \| section 2 \| helsinki & u \| 7th \| None row 9 : 2007 \| tier 4 \| kolmonen (third division) \| section 3 \| helsinki & u \| 2nd \| None row 10 : 2008 \| tier 4 \| kolmonen (third division) \| section 3 \| helsinki & u \| 2nd \| None row 11 : 2009 \| tier 4 \| kolmonen (third division) \| section 2 \| helsinki & u \| 1st \| promoted row 12 : 2010 \| tier 3 \| kakkonen (second division) \| group a \| finnish fa (suo \| None \| None ] Execute this SQL based on the above table: select division where administration = 'finnish fa (suomen pallolitto)' order by level desc limit 1	kakkonen (second division)
[ header: year \| location \| gold \| silver \| bronze row 1 : 1958 \| tokyo \| sachika kamo \| desideria ampon \| liu shang-ku row 2 : 1962 \| jakarta \| akiko fukui \| reiko miyagi \| desideria ampon patricia y row 3 : 1966 \| bangkok \| lany kaligis \| kazuko kuromatsu \| lita liem sugiarto row 4 : 1974 \| tehran \| lita liem sugiarto \| paulina pesahov \| lany kaligis row 5 : 1978 \| bangkok \| lee duk-hee \| chen chuan \| kiyoko nomura sonoe row 6 : 1982 \| new delhi \| etsuko inoue \| kim soo-ok \| yu liqiao row 7 : 1986 \| seoul \| li xinyi \| lee jeong-soon \| kim soo-ok row 8 : 1990 \| beijing \| akiko kijimuta \| chen li \| park mal-sim kim il- row 9 : 1994 \| hiroshima \| kimiko date \| naoko sawamatsu \| yayuk basuki chen row 10 : 1998 \| bangkok \| yayuk basuki \| tamarine tanasugar \| li fang yi j row 11 : 2002 \| busan \| iroda tulyaganova \| tamarine tanasugar \| shinobu asagoe row 12 : 2006 \| doha \| zheng jie \| sania mirza \| li na aiko row 13 : 2010 \| guangzhou \| peng shuai \| akgul amanmuradova \| kimiko date-krumm s ] Execute this SQL based on the above table: select silver order by year limit 1	desideria ampon
[ header: date \| site \| winning team \| winning team \| losing team \| losing team \| series row 1 : 1959 \| ames \| missouri \| 14 \| iowa state \| 0 \| missouri 30-16-6 row 2 : 1960 \| columbia \| missouri \| 34 \| iowa state \| 8 \| missouri 31-16-6 row 3 : 1962 \| columbia \| missouri \| 21 \| iowa state \| 6 \| missouri 33-16-6 row 4 : 1963 \| ames \| missouri \| 7 \| iowa state \| 0 \| missouri 34-16-6 row 5 : 1964 \| columbia \| missouri \| 10 \| iowa state \| 0 \| missouri 35-16-6 row 6 : 1965 \| ames \| missouri \| 23 \| iowa state \| 7 \| missouri 36-16-6 row 7 : 1967 \| ames \| missouri \| 23 \| iowa state \| 7 \| missouri 37-16-7 row 8 : 1969 \| ames \| missouri \| 40 \| iowa state \| 13 \| missouri 39-16-7 row 9 : 1971 \| ames \| iowa state \| 45 \| missouri \| 17 \| missouri 39-18-7 row 10 : 1973 \| ames \| iowa state \| 17 \| missouri \| 7 \| missouri 40-19-7 row 11 : 1974 \| columbia \| missouri \| 10 \| iowa state \| 7 \| missouri 41-19-7 row 12 : 1976 \| columbia \| iowa state \| 21 \| missouri \| 17 \| missouri 42-20-7 row 13 : 1977 \| ames \| iowa state \| 7 \| missouri \| 0 \| missouri 42-21-7 row 14 : 1978 \| columbia \| missouri \| 26 \| iowa state \| 13 \| missouri 43-21-7 row 15 : 1980 \| columbia \| missouri \| 14 \| iowa state \| 10 \| missouri 45-21-7 row 16 : 1982 \| columbia \| iowa state \| 17 \| missouri \| 17 \| missouri 45-22-8 row 17 : 1983 \| ames \| missouri \| 41 \| iowa state \| 18 \| missouri 46-22-8 row 18 : 1985 \| ames \| missouri \| 28 \| iowa state \| 27 \| missouri 47-22-9 row 19 : 1988 \| columbia \| iowa state \| 21 \| missouri \| 3 \| missouri 48-24-9 row 20 : 1992 \| ames \| iowa state \| 28 \| missouri \| 14 \| missouri 48-28-9 row 21 : 1995 \| columbia \| missouri \| 45 \| iowa state \| 31 \| missouri 51-28-9 row 22 : 1998 \| ames \| #21 missouri \| 35 \| iowa state \| 19 \| missouri 53-29-9 row 23 : 1999 \| columbia \| iowa state \| 24 \| missouri \| 21 \| missouri 53-30-9 row 24 : 2000 \| ames \| iowa state \| 39 \| missouri \| 20 \| missouri 53-31-9 row 25 : 2001 \| columbia \| iowa state \| 20 \| missouri \| 14 \| missouri 53-32-9 row 26 : 2004 \| ames \| missouri \| 17 \| iowa state \| 14 \| missouri 55-33-9 row 27 : 2007 \| columbia \| #13 missouri \| 42 \| iowa state \| 28 \| missouri 57-34-9 row 28 : 2008 \| ames \| #11 missouri \| 52 \| iowa state \| 20 \| missouri 58-34-9 row 29 : 2009 \| columbia \| missouri \| 34 \| iowa state \| 24 \| missouri 59-34-9 row 30 : 2010 \| ames \| #15 missouri \| 14 \| iowa state \| 0 \| missouri 60-34-9 ] Execute this SQL based on the above table: select winning team order by date limit 1	missouri
[ header: year \| title \| peak chart positions swe \| peak chart positions swi \| peak chart positions uk \| album row 1 : 2003 \| "znaj da znam" \| None \| None \| None \| naj, najbolja row 2 : 2003 \| "naj, najbolja" \| None \| None \| None \| naj, najbolja row 3 : 2003 \| "gorka cokolada" \| None \| None \| None \| bez ljubavi row 4 : 2004 \| "bol do ludila" \| None \| None \| None \| bez ljubavi row 5 : 2005 \| "ponuda" \| None \| None \| None \| ponuda cds row 6 : 2005 \| "agonija" \| None \| None \| None \| agonija cds row 7 : 2005 \| "u nedelju" \| None \| None \| None \| bez ljubavi row 8 : 2006 \| "bez ljubavi" \| None \| None \| None \| bez ljubavi row 9 : 2006 \| "101" \| None \| None \| None \| bez ljubavi row 10 : 2007 \| "molitva" \| 9 \| 19 \| 112 \| molitva cds, row 11 : 2008 \| "nisam anđeo" \| None \| None \| None \| nisam anđeo row 12 : 2009 \| "sta da zaboravim" \| None \| None \| None \| anđeo row 13 : 2010 \| "jedan vidi sve" \| None \| None \| None \| anđeo ] Execute this SQL based on the above table: select album order by year desc limit 1	anđeo
[ header: draw \| artist \| song \| points \| place row 1 : 1 \| the memories \| "if it means losing you" \| 57 \| 8th row 2 : 2 \| ann breen \| "oh, darling" \| 80 \| 4th row 3 : 3 \| fran meen \| "say that you love me" \| 66 \| 6th row 4 : 4 \| dreams \| "sin sin ("that's that") \| 73 \| 5th row 5 : 5 \| connor stevens \| "count on me" \| 88 \| 3rd row 6 : 6 \| linda martin and friends \| "all the people in the world" \| 105 \| 2nd row 7 : 7 \| maggie toal \| "feed him with love" \| 61 \| 7th row 8 : 8 \| liam reilly \| "somewhere in europe" \| 130 \| 1st ] Execute this SQL based on the above table: select song where place = '6th' order by id desc limit 1	"say that you love me"
[ 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 athlete group by athlete order by count ( * ) desc limit 1	yelena yakovleva
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 16 november 2005 \| tehelne pole, bra \| spain \| 1-0 \| 1-1 \| 2006 fifa world cup play-offs row 2 : 2 \| 20 may 2006 \| stadion antona malatin \| belgium \| 1-0 \| 1-1 \| friendly row 3 : 3 \| 13 october 2007 \| stadion zimny, du \| san marino \| 5-0 \| 7-0 \| uefa euro 2008 qualifying row 4 : 4 \| 21 november 2007 \| stadio olimpico, ser \| san marino \| 0-2 \| 0-5 \| uefa euro 2008 qualifying row 5 : 5 \| 9 september 2009 \| windsor park, belfast, northern \| northern ireland \| 0-2 \| 0-2 \| 2010 fifa world cup qualification row 6 : 6 \| 3 september 2010 \| pasienky, bratislava, \| macedonia \| 1-0 \| 1-0 \| uefa euro 2012 qualification row 7 : 7 \| 29 march 2011 \| stadion antona malatin \| denmark \| 1-1 \| 1-2 \| friendly ] Execute this SQL based on the above table: select count ( competition )	7
[ header: rank \| urban area \| population (2001 census) \| area (km2) \| density (people/km2) \| major subdivisions \| metropolitan area row 1 : 1 \| greater glasgow \| 1,168,270 \| 368.47 \| 3,171.0 \| glasgow, paisley, coat \| glasgow row 2 : 2 \| edinburgh \| 452,194 \| 120.11 \| 3,765.0 \| edinburgh, musselburg \| edinburgh row 3 : 3 \| aberdeen \| 197,328 \| 60.94 \| 3,238 \| aberdeen, cove bay, d \| aberdeen row 4 : 4 \| dundee \| 154,674 \| 67 \| 3,298 \| dundee \| dundee row 5 : 5 \| falkirk \| 91,402 \| 36.1 \| 2,532 \| falkirk, grangemouth, car \| falkirk row 6 : 6 \| east kilbride \| 73,796 \| 24.12 \| 3,060 \| east kilbride \| glasgow row 7 : 7 \| greenock \| 73,595 \| 20.69 \| 3,557 \| greenock, gourock, port glas \| glasgow row 8 : 8 \| blantyre/hamilton \| 65,874 \| 22.63 \| 2,911 \| blantyre, hamilton \| glasgow row 9 : 9 \| ayr/prestwick \| 61,365 \| 23.57 \| 2,604 \| ayr, prestwick \| ayr row 10 : 10 \| livingston \| 59,511 \| 26.07 \| 2,283 \| livingston, east calder, mid calder \| edinburgh ] Execute this SQL based on the above table: select major subdivisions where population (2001 census) = '452,194'	2
[ header: airing date \| english title (chinese title) \| number of episodes \| main cast \| theme song (t) sub-theme song (st) \| genre \| notes \| official website row 1 : 19 feb- 15 mar \| mutual affection 河東獅吼 \| 20 \| esther kwan, gordon la \| t: "怕老婆會發達" (david \| costume drama \| None \| None row 2 : 18 mar- 3 may \| dark tales 聊齋 \| 35 \| gallen lo, grace yu, ja \| t: "隔世情" (cass \| costume drama \| prequel to 1998's dark tales \| None row 3 : 6 may- 31 may \| money just can't buy 天降財神 \| 20 \| bobby au yeung, mari \| t: "運財有福星" (natalis \| modern drama \| None \| None row 4 : 3 jun- 21 jun \| crossing boundaries 盞鬼老豆 \| 15 \| mini kung, benz hui \| t: "覺悟" (vivian \| modern drama \| released overseas on april 3, 1995 \| None row 5 : 24 jun- 16 aug \| state of divinity 笑傲江湖 \| 40 \| jackie lui, fiona le \| t: "活得瀟灑" (alan \| costume drama \| None \| official website row 6 : 19 aug- 6 sep \| the price to pay 五個醒覺的少年 \| 20 \| john kwan, may kw \| t: "改改改" (hacken le \| modern drama \| released overseas on december 7, 1995 \| None row 7 : 9 sep- 4 oct \| night journey 殭屍福星 \| 20 \| yuen wah, dani \| t: "今天開始" (danie \| costume drama \| None \| None row 8 : 7 oct- 15 nov \| food of love 闔府統請 \| 30 \| wong he, kenix k \| t: "闔府統請" (gabriel \| modern drama \| None \| None row 9 : 10 nov- 20 dec \| journey to the west 西遊記 \| 30 \| dicky cheung, kw \| t: "西遊記" (dicky \| costume drama \| prequel to 1998's journey to the west \| official website row 10 : 30 dec 1996- 27 jan 1998 \| in the name of love 有肥人終成眷屬 \| 20 \| kent cheng, sunny chan \| t: "但願有情人" (mo \| modern drama \| None \| None ] Execute this SQL based on the above table: select english title (chinese title) order by number of episodes desc limit 1	state of divinity 笑傲江湖
[ header: week \| date \| opponent \| result \| record \| game site \| tv time \| attendance \| bye row 1 : 1 \| september 1, 1996 \| arizona cardinals \| w 20-13 \| 1-0 \| rca dome \| fox 1:00 pm \| 48133 \| 0 row 2 : 2 \| september 8, 1996 \| at new york jets \| w 21-7 \| 2-0 \| the meadowlands \| nbc 4:15 pm \| 63534 \| 0 row 3 : 3 \| september 15, 1996 \| at dallas cowboys \| w 25-24 \| 3-0 \| texas stadium \| nbc 4:15 pm \| 63021 \| 0 row 4 : 4 \| september 23, 1996 \| miami dolphins \| w 10-6 \| 4-0 \| rca dome \| abc 9:00 pm \| 60891 \| 0 row 5 : 5 \| None \| None \| None \| None \| None \| None \| None \| 1 row 6 : 6 \| october 6, 1996 \| at buffalo bills \| l 13-16 \| 4-1 \| rich stadium \| nbc 4:15 pm \| 79401 \| 0 row 7 : 7 \| october 13, 1996 \| baltimore ravens \| w 26-21 \| 5-1 \| rca dome \| tnt 8:15 pm \| 56978 \| 0 row 8 : 8 \| october 20, 1996 \| new england patriots \| l 9-27 \| 5-2 \| rca dome \| nbc 1:00 pm \| 58725 \| 0 row 9 : 9 \| october 27, 1996 \| at washington redskins \| l 16-31 \| 5-3 \| rfk stadium \| nbc 1:00 pm \| 54254 \| 0 row 10 : 10 \| november 3, 1996 \| san diego chargers \| l 19-26 \| 5-4 \| rca dome \| nbc 1:00 pm \| 58484 \| 0 row 11 : 11 \| november 10, 1996 \| at miami dolphins \| l 13-37 \| 5-5 \| joe robbie stadium \| nbc 1:00 pm \| 66623 \| 0 row 12 : 12 \| november 17, 1996 \| new york jets \| w 34-29 \| 6-5 \| rca dome \| nbc 1:00 pm \| 48322 \| 0 row 13 : 13 \| november 24, 1996 \| at new england patriots \| l 13-27 \| 6-6 \| foxboro stadium \| nbc 1:00 pm \| 58226 \| 0 row 14 : 14 \| december 1, 1996 \| buffalo bills \| w 13-10 \| 7-6 \| rca dome \| nbc 4:15 pm \| 53804 \| 0 row 15 : 15 \| december 5, 1996 \| philadelphia eagles \| w 37-10 \| 8-6 \| rca dome \| espn 8:15 pm \| 52689 \| 0 row 16 : 16 \| december 15, 1996 \| at kansas city chiefs \| w 24-19 \| 9-6 \| arrowhead stadium \| nbc 4:15 pm \| 71136 \| 0 row 17 : 17 \| december 22, 1996 \| at cincinnati bengals \| l 24-31 \| 9-7 \| cinergy field \| nbc 1:00 pm \| 49389 \| 0 ] Execute this SQL based on the above table: select opponent where opponent in ( 'miami dolphins' , 'philadelphia eagles' ) order by tv time desc limit 1	miami dolphins
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1998 \| turin marathon \| turin, italy \| 3rd \| marathon \| 2:12:59 row 2 : 2003 \| lisbon marathon \| lisbon, portugal \| 1st \| marathon \| 2:15:31 row 3 : 2004 \| vienna marathon \| vienna, austria \| 3rd \| marathon \| 2:11:24 row 4 : 2004 \| berlin marathon \| berlin, germany \| 5th \| marathon \| 2:09:08 row 5 : 2005 \| world championships \| helsinki, finland \| 18th \| marathon \| 2:16:33 row 6 : 2006 \| paris marathon \| paris, france \| 4th \| marathon \| 2:08:55 row 7 : 2006 \| lisbon marathon \| lisbon, portugal \| 1st \| marathon \| 2:21:08 row 8 : 2007 \| world championships \| osaka, japan \| None \| marathon \| dns ] Execute this SQL based on the above table: select max ( position )	5th
[ header: year \| competition \| venue \| position \| notes row 1 : 2002 \| asian junior championships \| bangkok, thailand \| 3rd \| 1.76 m row 2 : 2004 \| asian junior championships \| ipoh, malaysia \| 1st \| 1.84 m row 3 : 2004 \| world junior championships \| grosseto, italy \| 7th \| 1.84 m row 4 : 2005 \| universiade \| izmir, turkey \| 7th \| 1.80 m row 5 : 2005 \| asian championships \| incheon, south korea \| 3rd \| 1.84 m row 6 : 2005 \| asian indoor games \| bangkok, thailand \| 2nd \| 1.84 m row 7 : 2006 \| asian games \| doha, qatar \| 6th \| 1.84 m row 8 : 2007 \| asian championships \| amman, jordan \| 3rd \| 1.91 m row 9 : 2007 \| universiade \| bangkok, thailand \| 3rd \| 1.90 m row 10 : 2007 \| world championships \| osaka, japan \| 20th (q) \| 1.88 m row 11 : 2007 \| asian indoor games \| macau \| 3rd \| 1.88 m row 12 : 2008 \| asian indoor championships \| doha, qatar \| 2nd \| 1.91 m row 13 : 2009 \| universiade \| belgrade, serbia \| 14th (q) \| 1.80 m row 14 : 2010 \| asian indoor championships \| tehran, iran \| 2nd \| 1.86 m row 15 : 2010 \| world indoor championships \| istanbul, turkey \| 20th (q) \| 1.81 m row 16 : 2010 \| asian games \| guangzhou, china \| 3rd \| 1.90 m row 17 : 2011 \| asian championships \| kobe, japan \| 4th \| 1.85 m row 18 : 2011 \| universiade \| shenzhen, china \| 10th \| 1.84 m ] Execute this SQL based on the above table: select position where competition = 'world indoor championships'	20th (q)
[ header: game \| november \| opponent \| score \| record row 1 : 2 \| 5 \| @ detroit red wings \| 12 - 5 \| 0-2-0 row 2 : 3 \| 7 \| montreal canadiens \| 4 - 3 ot \| 1-2-0 row 3 : 4 \| 8 \| @ montreal canadiens \| 10 - 4 \| 1-3-0 row 4 : 5 \| 10 \| chicago black hawks \| 5 - 3 ot \| 2-3-0 row 5 : 6 \| 14 \| @ boston bruins \| 5 - 3 \| 2-4-0 row 6 : 7 \| 15 \| boston bruins \| 4 - 3 \| 2-5-0 row 7 : 8 \| 19 \| toronto maple leafs \| 7 - 3 \| 2-6-0 row 8 : 9 \| 22 \| detroit red wings \| 4 - 4 \| 2-6-1 row 9 : 10 \| 26 \| @ chicago black hawks \| 2 - 1 \| 3-6-1 row 10 : 11 \| 28 \| @ toronto maple leafs \| 8 - 6 \| 3-7-1 row 11 : 12 \| 29 \| boston bruins \| 3 - 2 \| 4-7-1 ] Execute this SQL based on the above table: select score where game = 9 and opponent = 'detroit red wings'	4 - 4
[ header: year \| award \| work/artist \| result row 1 : 1999 \| grammy award for best contemporary folk album \| mermaid avenue \| nominated row 2 : 2005 \| grammy award for best alternative music album \| a ghost is born \| won row 3 : 2005 \| grammy award for best recording package (a \| a ghost is born \| won row 4 : 2008 \| grammy award for best rock album \| sky blue sky \| nominated row 5 : 2010 \| grammy award for best americana album \| wilco (the album) \| nominated row 6 : 2012 \| grammy award for best rock album \| the whole love \| nominated ] Execute this SQL based on the above table: select award order by year desc limit 2005	grammy award for best rock album, grammy award for best americana album, grammy award for best rock album, grammy award for best alternative music album, grammy award for best recording package (awarded to the art director), grammy award for best contemporary folk album
[ header: pos \| no \| driver \| team \| laps \| time/retired \| grid \| points row 1 : 1 \| 1 \| alex zanardi \| chip ganassi racing \| 95 \| 1:52:24.080 \| 2 \| 20 row 2 : 2 \| 6 \| michael andretti \| newman-haas racing \| 95 \| 1.921 \| 3 \| 16 row 3 : 3 \| 12 \| jimmy vasser \| chip ganassi racing \| 95 \| 6.702 \| 6 \| 14 row 4 : 4 \| 7 \| bobby rahal \| team rahal \| 95 \| 8.078 \| 9 \| 12 row 5 : 5 \| 8 \| bryan herta \| team rahal \| 95 \| 12.984 \| 17 \| 10 row 6 : 6 \| 20 \| scott pruett \| patrick racing \| 95 \| 14.607 \| 8 \| 8 row 7 : 7 \| 10 \| richie hearn \| della penna motorsports \| 95 \| 15.305 \| 13 \| 6 row 8 : 8 \| 25 \| max papis \| arciero-wells racing \| 95 \| 24.676 \| 20 \| 5 row 9 : 9 \| 40 \| adrian fernandez \| patrick racing \| 95 \| 31.923 \| 16 \| 4 row 10 : 10 \| 16 \| helio castro-neves \| bettenhausen racing \| 95 \| 32.691 \| 21 \| 3 row 11 : 11 \| 99 \| greg moore \| forsythe racing \| 95 \| 34.926 \| 12 \| 2 row 12 : 12 \| 17 \| mauricio gugelmin \| pacwest racing group \| 95 \| 37.64 \| 19 \| 1 row 13 : 13 \| 24 \| robby gordon \| arciero-wells racing \| 94 \| +1 lap \| 22 \| None row 14 : 14 \| 26 \| paul tracy \| team kool green \| 94 \| +1 lap \| 10 \| None row 15 : 15 \| 77 \| arnd meier \| davis racing \| 94 \| +1 lap \| 25 \| None row 16 : 16 \| 11 \| christian fittipaldi \| newman-haas racing \| 93 \| +2 laps \| 5 \| None row 17 : 17 \| 2 \| al unser, jr \| marlboro team penske \| 93 \| +2 laps \| 14 \| None row 18 : 18 \| 19 \| michel jourdain jr \| payton/coyne racing \| 93 \| +2 laps \| 24 \| None row 19 : 19 \| 98 \| p. j. jones \| all american racing \| 84 \| suspension \| 23 \| None row 20 : 20 \| 27 \| dario franchitti \| team kool green \| 79 \| brakes \| 1 \| 1+1 row 21 : 21 \| 34 \| gualter salles \| payton/coyne racing \| 65 \| contact \| 28 \| None row 22 : 22 \| 21 \| tony kanaan \| tasman motorsports group \| 61 \| fire \| 7 \| None row 23 : 23 \| 3 \| andre ribeiro \| marlboro team penske \| 54 \| transmission \| 11 \| None row 24 : 24 \| 9 \| jj lehto \| hogan racing \| 37 \| contact \| 26 \| None row 25 : 25 \| 33 \| patrick carpentier \| forsythe racing \| 33 \| suspension \| 18 \| None row 26 : 26 \| 18 \| mark blundell \| pacwest racing group \| 30 \| electrical \| 15 \| None row 27 : 27 \| 5 \| gil de ferran \| walker racing \| 26 \| contact \| 4 \| None row 28 : 28 \| 36 \| alex barron \| all american racing \| 25 \| contact \| 27 \| None ] Execute this SQL based on the above table: select grid where team = 'davis racing'	25.0
[ header: year \| venue \| standard result \| venue \| latin result row 1 : 1996 \| berlin \| tc ludwigsburg, \| vilnius \| tsc schwarz-gelb row 2 : 1999 \| elblag \| jantar elblag jan \| vilnius \| klaipeda university zuvedra team row 3 : 2001 \| berlin \| dsc kodryanka \| bremerhaven \| tsg bremerhaven, row 4 : 2002 \| kishinev \| dsc kodryanka \| vilnius \| klaipeda university zuvedra team row 5 : 2003 \| stuttgart \| dsc kodryanka \| essen \| klaipeda university zuvedra team row 6 : 2004 \| brunswick \| braunschweiger tsc, \| minsk \| klaipeda university team zuvedra row 7 : 2005 \| elblag \| braunschweiger tsc, \| munich \| klaipeda university zuvedra team row 8 : 2008 \| kishinev \| dsc kodryanka \| wiener neustadt, austria \| zuvedra klaipeda university, row 9 : 2009 \| ludwigsburg germany \| tc ludwigsburg german \| bremen, germany \| grun-gold-club bremen german row 10 : 2010 \| elblag, poland \| fs lotos-jantar ( \| moscow, russia \| vera tyumen, russia ] Execute this SQL based on the above table: select standard result order by year desc limit 1	fs lotos-jantar (poland), braunschweiger tsc(germany)
[ header: \| name \| distance \| date \| location row 1 : 1 \| seppo simola \| 20.15 \| july 19, 1972 \| turku, finland row 2 : 2 \| matti yrjola \| 20.04 \| august 2, 1972 \| hameenkyro, f row 3 : 3 \| bo grahn \| 20.09 \| august 3, 1972 \| helsinki, finland row 4 : 4 \| reijo stahlberg \| 20.38 \| july 26, 1973 \| turku, finland row 5 : 5 \| markku tuokko \| 20.03 \| august 18, 1979 \| mikkeli, finland row 6 : 6 \| aulis akonniemi \| 20.12 \| july 25, 1982 \| ahtari, finland row 7 : 7 \| janne ronkainen \| 20.02 \| may 11, 1986 \| leselidse, soviet union row 8 : 8 \| jari kuoppa \| 20.17 \| june 12, 1986 \| ahtari, finland row 9 : 9 \| kari toyryla \| 20.05 \| july 2, 1986 \| kauhajoki, finland row 10 : 10 \| markus koistinen \| 20.31 \| june 13, 1993 \| luumaki, finland row 11 : 11 \| mika halvari \| 20.08 \| august 4, 1993 \| kotka, finland row 12 : 12 \| arsi harju \| 20.16 \| march 2, 1997 \| tampere, finland row 13 : 13 \| timo aaltonen \| 20.12 \| june 20, 1998 \| kuortane, finland row 14 : 14 \| jani illikainen \| 20.43 \| january 23, 1999 \| haaparanda, sweden row 15 : 15 \| ville tiisanoja \| 20.06 \| july 31, 1999 \| espoo, finland row 16 : 16 \| jarkko haukijarvi \| 20.2 \| july 1, 2000 \| eurajoki, finland row 17 : 17 \| tepa reinikainen \| 20.01 \| february 13, 2000 \| kuopio, finland row 18 : 18 \| conny karlsson \| 20.45 \| may 31, 2001 \| espoo, finland row 19 : 19 \| robert haggblom \| 20.13 \| may 20, 2006 \| halle, germany row 20 : 20 \| mika vasara \| 20.04 \| june 4, 2006 \| leppavirta, finland ] Execute this SQL based on the above table: select location where date > ( select date where location = 'halle, germany' ) order by date limit 1	leppavirta, finland
[ header: year \| single \| chart \| position row 1 : 1986 \| "best of both worlds" \| album rock tracks \| 12 row 2 : 1986 \| "dreams" \| album rock tracks \| 6 row 3 : 1986 \| "dreams" \| billboard hot 100 \| 22 row 4 : 1986 \| "love walks in" \| album rock tracks \| 4 row 5 : 1986 \| "love walks in" \| billboard hot 100 \| 22 row 6 : 1986 \| "summer nights" \| album rock tracks \| 33 row 7 : 1986 \| "why can't this be love" \| album rock tracks \| 1 row 8 : 1986 \| "why can't this be love" \| billboard hot 100 \| 3 ] Execute this SQL based on the above table: select chart order by position desc limit 1	album rock tracks
[ header: year \| position row 1 : 1957 \| did not enter row 2 : 1959 \| did not enter row 3 : 1962 \| did not enter row 4 : 1963 \| did not enter row 5 : 1965 \| did not enter row 6 : 1968 \| did not qualify row 7 : 1970 \| did not qualify row 8 : 1972 \| round 1 row 9 : 1974 \| withdrew row 10 : 1976 \| did not qualify row 11 : 1978 \| did not qualify row 12 : 1980 \| did not qualify row 13 : 1982 \| did not qualify row 14 : 1984 \| round 1 row 15 : 1986 \| did not qualify row 16 : 1988 \| did not qualify row 17 : 1990 \| withdrew row 18 : 1992 \| did not qualify row 19 : 1994 \| withdrew during qualifying row 20 : 1996 \| did not qualify row 21 : 1998 \| round 1 row 22 : 2000 \| round 1 row 23 : 2002 \| round 1 row 24 : 2004 \| did not qualify row 25 : 2006 \| round 1 row 26 : 2008 \| did not qualify row 27 : 2010 \| withdrew due to rebel attack row 28 : 2012 \| did not qualify row 29 : 2013 \| quarter-final ] Execute this SQL based on the above table: select year where position = 'did not enter'	1957, 1959, 1962, 1963, 1965
[ header: first name \| surname \| death year \| beginning of service \| end of service \| notes row 1 : pilzbach \| johann adam \| 1802 \| 1772 \| 1776 \| None row 2 : fritsch \| lorenz \| None \| 1794 \| 1798 \| None row 3 : aizele \| matthias \| 1856 \| 1812 \| 1836 \| None row 4 : bottka \| paul \| 1872 \| 1836 \| 1845 \| None row 5 : bartl \| anton \| 1897 \| 1870 \| 1893 \| None row 6 : loschardt \| ferdinand \| 1914 \| 1893 \| 1899 \| None row 7 : gehl \| othmar \| 1951 \| 1892 \| 1903 \| None row 8 : schutz \| nikolaus \| None \| 1899 \| 1901 \| None row 9 : eisele \| matthias \| 1944 \| 1901 \| 1906 \| None row 10 : dietl \| august gustav \| 1928 \| 1901 \| 1912 \| None row 11 : misenko \| josef \| None \| 1902 \| 1909 \| None row 12 : palya \| matthias \| 1915 \| 1903 \| 1915 \| None row 13 : elsner \| josef \| 1965 \| 1911 \| 1926 \| None row 14 : schrotz \| stefan \| 1967 \| 1912 \| 1923 \| None row 15 : fulda \| paul \| None \| 1922 \| None \| None row 16 : rudolf \| josef \| None \| 1912 \| 1921 \| None row 17 : waltner \| josef \| 1986 \| 1920 \| 1923 \| None row 18 : szekely \| franz \| None \| 1923 \| 1930 \| None row 19 : lischerong \| matthias \| 1950 \| 1925 \| 1950 \| None row 20 : strubert \| peter \| 1956 \| 1924 \| 1932 \| None row 21 : lindnder \| wendelin \| None \| 1925 \| 1929 \| None row 22 : juhasz \| tibor \| None \| 1930 \| 1938 \| None row 23 : benz \| johannes \| 1985 \| 1936 \| 1942 \| None row 24 : hardt \| alfons \| None \| 1927 \| 1930 \| None row 25 : hampel \| karl \| None \| 1934 \| 1937 \| None row 26 : willw \| andreas \| None \| 1941 \| 1946 \| None row 27 : gerstenengst \| josef \| 1992 \| 1946 \| 1958 \| None row 28 : lackner \| paul \| 1987 \| 1946 \| 1987 \| None row 29 : borth \| nikolaus pater gottfried \| None \| 1958 \| 1959 \| None row 30 : neu \| anton \| None \| 1963 \| 1965 \| None row 31 : fritz \| anton \| None \| 1972 \| 1974 \| None row 32 : hajdu \| josef \| None \| 1974 \| 1976 \| None row 33 : hoher \| otto \| 2006 \| 1976 \| 1978 \| None row 34 : nagy \| carol \| None \| 1979 \| 1987 \| None row 35 : mutiu \| petru \| None \| 1983 \| None \| None row 36 : matei \| peter gottlieb \| None \| 1983 \| 1988 \| None row 37 : pal \| jozsef csaba \| None \| 1987 \| None \| None row 38 : szocs \| laszlo \| None \| 1987 \| 1988 \| None row 39 : catici \| gheorghe \| None \| 1988 \| 1992 \| None row 40 : balogh \| andras \| None \| 1988 \| 1989 \| None row 41 : ebenspanger \| ferenc \| None \| 1989 \| 1990 \| None row 42 : debert \| reiner \| None \| 1993 \| 1994 \| None row 43 : conceanga \| ulderic \| None \| 1997/2001 \| 2003 \| None row 44 : tampu \| petru \| None \| 1999 \| 2001 \| None row 45 : rebegila \| petru \| None \| 2004 \| 2006 \| None ] Execute this SQL based on the above table: select count ( * ) where first name = 'bartl' and death year >= 'None'	0
[ header: rank \| name \| height ft / m \| floors \| year \| notes row 1 : 1 \| rhodes state office tower \| 629 / 192 \| 41 \| 1973 \| has been the tallest building in columbus row 2 : 2 \| leveque tower \| 555 / 169 \| 47 \| 1927 \| tallest building constructed in columbus in the row 3 : 3 \| william green building \| 530 / 162 \| 33 \| 1990 \| tallest building constructed in columbus in the row 4 : 4 \| huntington center \| 512 / 156 \| 37 \| 1984 \| tallest building constructed in columbus in the row 5 : 5 \| vern riffe state office tower \| 503 / 153 \| 32 \| 1988 \| None row 6 : 6 \| one nationwide plaza \| 485 / 148 \| 40 \| 1976 \| None row 7 : 7 \| franklin county courthouse \| 464 / 141 \| 27 \| 1991 \| None row 8 : 8 \| aep building \| 456 / 139 \| 31 \| 1983 \| None row 9 : 9 \| borden building \| 438 / 134 \| 34 \| 1974 \| None row 10 : 10 \| three nationwide plaza \| 408 / 124 \| 27 \| 1989 \| None row 11 : 11 \| one columbus center \| 366 / 112 \| 26 \| 1987 \| None row 12 : 12 \| columbus center \| 357 / 109 \| 25 \| 1964 \| tallest building constructed in columbus in the row 13 : 13 \| capitol square \| 350 / 107 \| 26 \| 1984 \| None row 14 : 14 \| continental center \| 348 / 106 \| 26 \| 1973 \| None row 15 : 15 \| pnc bank building \| 317 / 97 \| 25 \| 1977 \| None row 16 : 16 \| miranova condominiums \| 314 / 96 \| 26 \| 2001 \| tallest residential building in the state of o row 17 : 17 \| fifth third center \| 302 / 92 \| 25 \| 1998 \| None row 18 : 18 \| motorists mutual building \| 286 / 87 \| 21 \| 1973 \| None row 19 : 19 \| midland building \| 280 / 85 \| 21 \| 1970 \| None row 20 : 20 \| the condominiums at north bank park \| 267 / 81 \| 20 \| 2007 \| None row 21 : 21= \| lincoln tower dormitory \| 260 / 79 \| 26 \| 1967 \| None row 22 : 21= \| morrill tower dormitory \| 260 / 79 \| 26 \| 1967 \| None row 23 : 23 \| hyatt regency columbus \| 256 / 78 \| 20 \| 1980 \| None row 24 : 24 \| key bank building \| 253 / 77 \| 20 \| 1963 \| None row 25 : 25 \| adam's mark hotel \| 243 / 74 \| 16 \| 1961 \| None row 26 : 26 \| town center \| 226 / 69 \| 17 \| 1974 \| None row 27 : 27 \| 8 east broad street \| 212 / 64.6 \| 17 \| 1906 \| None row 28 : 28 \| huntington building \| 202 / 59.4 \| 13 \| 1926 \| None row 29 : 29 \| ohio judicial center \| 200 / 57.9 \| 14 \| 1933 \| None row 30 : 30 \| 16 east broad street \| 180 / 64.4 \| 13 \| 1900 \| None ] Execute this SQL based on the above table: select name where id = ( select id where name = 'huntington center' ) - 1	william green building
[ header: \| name \| distance \| date \| location row 1 : 1 \| seppo simola \| 20.15 \| july 19, 1972 \| turku, finland row 2 : 2 \| matti yrjola \| 20.04 \| august 2, 1972 \| hameenkyro, f row 3 : 3 \| bo grahn \| 20.09 \| august 3, 1972 \| helsinki, finland row 4 : 4 \| reijo stahlberg \| 20.38 \| july 26, 1973 \| turku, finland row 5 : 5 \| markku tuokko \| 20.03 \| august 18, 1979 \| mikkeli, finland row 6 : 6 \| aulis akonniemi \| 20.12 \| july 25, 1982 \| ahtari, finland row 7 : 7 \| janne ronkainen \| 20.02 \| may 11, 1986 \| leselidse, soviet union row 8 : 8 \| jari kuoppa \| 20.17 \| june 12, 1986 \| ahtari, finland row 9 : 9 \| kari toyryla \| 20.05 \| july 2, 1986 \| kauhajoki, finland row 10 : 10 \| markus koistinen \| 20.31 \| june 13, 1993 \| luumaki, finland row 11 : 11 \| mika halvari \| 20.08 \| august 4, 1993 \| kotka, finland row 12 : 12 \| arsi harju \| 20.16 \| march 2, 1997 \| tampere, finland row 13 : 13 \| timo aaltonen \| 20.12 \| june 20, 1998 \| kuortane, finland row 14 : 14 \| jani illikainen \| 20.43 \| january 23, 1999 \| haaparanda, sweden row 15 : 15 \| ville tiisanoja \| 20.06 \| july 31, 1999 \| espoo, finland row 16 : 16 \| jarkko haukijarvi \| 20.2 \| july 1, 2000 \| eurajoki, finland row 17 : 17 \| tepa reinikainen \| 20.01 \| february 13, 2000 \| kuopio, finland row 18 : 18 \| conny karlsson \| 20.45 \| may 31, 2001 \| espoo, finland row 19 : 19 \| robert haggblom \| 20.13 \| may 20, 2006 \| halle, germany row 20 : 20 \| mika vasara \| 20.04 \| june 4, 2006 \| leppavirta, finland ] Execute this SQL based on the above table: select location order by name desc limit 1	espoo, finland
[ header: # \| player \| country \| score \| to par \| money ($) row 1 : 1 \| shirley englehorn \| united states \| 70-70-75-70=285 \| -7 \| 4,500 row 2 : 2 \| kathy whitworth \| united states \| 69-71-73-72=2 \| -7 \| 3,410 row 3 : 3 \| sandra palmer \| united states \| 73-72-73-70=2 \| -4 \| 2,600 row 4 : 4 \| murle breer \| united states \| 75-71-70-74=290 \| -2 \| 2,150 row 5 : 5 \| sharon miller \| united states \| 74-74-72-71=2 \| -1 \| 1,800 row 6 : t6 \| joanne carner \| united states \| 71-76-70-75=292 \| e \| 1,400 row 7 : t6 \| sandra haynie \| united states \| 73-72-72-75=29 \| e \| 1,400 row 8 : t8 \| gerda boykin \| west germany \| 73-73-73-74=2 \| +1 \| 1,050 row 9 : t8 \| sharron moran \| united states \| 73-71-75-74=2 \| +1 \| 1,050 row 10 : t8 \| marilynn smith \| united states \| 74-69-73-77=2 \| +1 \| 1,050 ] Execute this SQL based on the above table: select # where id = ( select id where # = 't8' ) - 1	t6
[ header: year \| title \| role \| notes row 1 : 1941 \| the maltese falcon \| kasper gutman \| nominated - academy award for best supporting row 2 : 1941 \| they died with their boots on \| lt. gen. winfield \| None row 3 : 1942 \| across the pacific \| dr. lorenz \| None row 4 : 1942 \| casablanca \| signor ferrari \| None row 5 : 1943 \| background to danger \| col. robinson \| None row 6 : 1944 \| passage to marseille \| major duval \| None row 7 : 1944 \| between two worlds \| rev. tim thompson \| None row 8 : 1944 \| the mask of dimitrios \| mr. peters \| None row 9 : 1944 \| the conspirators \| ricardo quintanilla \| None row 10 : 1944 \| hollywood canteen \| himself \| None row 11 : 1945 \| pillow to post \| col. michael otley \| None row 12 : 1945 \| conflict \| dr. mark hamilton \| None row 13 : 1945 \| christmas in connecticut \| alexander yardley \| None row 14 : 1946 \| three strangers \| jerome k. arbutny \| None row 15 : 1946 \| devotion \| william makepeace thacke \| None row 16 : 1946 \| the verdict \| supt. george e \| None row 17 : 1947 \| that way with women \| james p. alden \| None row 18 : 1947 \| the hucksters \| evan llewellyn \| None row 19 : 1948 \| the velvet touch \| capt. danbury \| None row 20 : 1948 \| ruthless \| buck mansfield \| None row 21 : 1948 \| the woman in white \| count alessandro fosco \| None row 22 : 1949 \| flamingo road \| sheriff titus semple \| None row 23 : 1949 \| malaya \| the dutchman \| None ] Execute this SQL based on the above table: select count ( title ) where role = 1730	0
[ header: rank \| name \| nation(s) \| born \| ascended \| years reigned row 1 : 1 \| bhumibol adulya \| thailand \| 5 december 1927 \| 9 june 1946 \| 68 years, 3 days row 2 : 7 \| qaboos bin said al said \| oman \| 18 november 1940 \| 23 july 1970 \| 43 years, 324 days row 3 : 10 \| carl xvi gustaf \| sweden \| 30 april 1946 \| 15 september 1973 \| 40 years, 270 days row 4 : 16 \| mswati iii \| swaziland \| 19 april 1968 \| 25 april 1986 \| 28 years, 48 days row 5 : 17 \| akihito \| japan \| 23 december 1933 \| 7 january 1989 \| 25 years, 156 days row 6 : 19 \| hans-adam ii \| liechtenstein \| 14 february 1945 \| 13 november 1989 \| 24 years, 211 days row 7 : 21 \| harald v \| norway \| 21 february 1937 \| 17 january 1991 \| 23 years, 146 days row 8 : 24 \| mizan zainal abidin \| terengganu (malaysia \| 22 january 1962 \| 15 may 1998 \| 16 years, 28 days row 9 : 25 \| abdullah ii \| jordan \| 30 january 1962 \| 7 february 1999 \| 15 years, 125 days row 10 : 26 \| hamad bin isa al k \| bahrain \| 28 january 1950 \| 6 march 1999 \| 15 years, 98 days row 11 : 30 \| tuanku syed sir \| perlis (malaysia) \| 16 may 1943 \| 17 april 2000 \| 14 years, 56 days row 12 : 31 \| henri \| luxembourg \| 16 april 1955 \| 7 october 2000 \| 13 years, 248 days row 13 : 33 \| norodom sihamoni \| cambodia \| 14 may 1953 \| 14 october 2004 \| 9 years, 241 days row 14 : 37 \| mohammed bin rashid al ma \| dubai (united arab emir \| 22 july 1949 \| 4 january 2006 \| 8 years, 159 days row 15 : 39 \| tuheitia paki \| maori king (new zealand \| 21 april 1955 \| 21 august 2006 \| 7 years, 295 days row 16 : 41 \| kapiliele faupala \| wallis island (uvea) (wall \| 1940 \| 25 june 2008 \| 5 years, 352 days row 17 : 45 \| ibrahim ismail \| johor (malaysia \| 22 november 1958 \| 22 january 2010 \| 4 years, 141 days row 18 : 47 \| muhammad v \| kelantan (malaysia \| 6 october 1969 \| 13 september 2010 \| 3 years, 272 days row 19 : 49 \| tupou vi \| tonga \| 12 july 1959 \| 18 march 2012 \| 2 years, 86 days row 20 : 50 \| francis \| vatican city \| 17 december 1936 \| 13 march 2013 \| 1 year, 91 days row 21 : 51 \| willem-alexander \| netherlands \| 27 april 1967 \| 30 april 2013 \| 1 year, 43 days row 22 : 53 \| philippe \| belgium \| 15 april 1960 \| 21 july 2013 \| 0 years, 326 days ] Execute this SQL based on the above table: select count ( name ) where rank > 684	0
[ header: # \| prime minister \| date of birth \| start date of (first) term \| age at beginning of (first) term \| end date of (final) term \| total time in office \| date of death \| lifespan row 1 : 1 \| edmund barton \| 18 january 1849 \| 1-jan-01 \| 51 years, 348 days \| 24-sep-03 \| 996 days \| 7-jan-20 \| 25,920 days (70 years, 354 days row 2 : 2 \| alfred deakin \| 3 august 1856 \| 24-sep-03 \| 47 years, 52 days \| 29-apr-10 \| 1,774 days \| 7-oct-19 \| 23,074 days (63 years, 65 days row 3 : 3 \| chris watson \| 9 april 1867 \| 27-apr-04 \| 37 years, 18 days \| 18-aug-04 \| 113 days \| 18-nov-41 \| 27,251 days (74 years, 223 row 4 : 4 \| george reid \| 25 february 1845 \| 18-aug-04 \| 59 years, 175 days \| 5-jul-05 \| 321 days \| 12-sep-18 \| 26,861 days (73 years, 199 row 5 : 7 \| billy hughes \| 25 september 1862 \| 27-oct-15 \| 53 years, 32 days \| 9-feb-23 \| 2,662 days \| 28-oct-52 \| 32,905 days (90 years, 33 row 6 : 8 \| stanley bruce \| 15 april 1883 \| 9-feb-23 \| 39 years, 300 days \| 22-oct-29 \| 2,447 days \| 25-aug-67 \| 30,812 days (84 years, 132 row 7 : 9 \| james scullin \| 18 september 1876 \| 22-oct-29 \| 53 years, 34 days \| 6-jan-32 \| 806 days \| 28-jan-53 \| 27,890 days (76 years, 132 row 8 : 10 \| joseph lyons \| 15 september 1879 \| 6-jan-32 \| 52 years, 113 days \| 7-apr-39 \| 2,648 days \| 7-apr-39 \| 21,753 days (59 years, 204 row 9 : 11 \| earle page \| 8 august 1880 \| 7-apr-39 \| 58 years, 242 days \| 26-apr-39 \| 19 days \| 20-dec-61 \| 29,718 days (81 years, 134 row 10 : 12 \| robert menzies \| 20 december 1894 \| 26-apr-39 \| 44 years, 127 days \| 26-jan-66 \| 6,735 days \| 15-may-78 \| 30,461 days (83 years, 146 row 11 : 14 \| john curtin \| 8 january 1885 \| 7-oct-41 \| 56 years, 272 days \| 5-jul-45 \| 1,367 days \| 5-jul-45 \| 22,092 days (60 years, 178 row 12 : 15 \| frank forde \| 18 july 1890 \| 6-jul-45 \| 54 years, 353 days \| 13-jul-45 \| 7 days \| 28-jan-83 \| 33,796 days (92 years, 19 row 13 : 16 \| ben chifley \| 22 september 1885 \| 13-jul-45 \| 59 years, 294 days \| 19-dec-49 \| 1,620 days \| 13-jun-51 \| 24,004 days (65 years, 264 row 14 : 17 \| harold holt \| 5-aug-08 \| 26-jan-66 \| 57 years, 174 days \| 19-dec-67 \| 690 days \| 17-dec-67 \| 21,683 days (59 years, 134 ] Execute this SQL based on the above table: select count ( date of death )	14
[ 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 women's winner group by women's winner having count ( * ) > 1	aniko kalovics (hun), beata rakonczai (hun), krisztina papp (hun)
[ header: institution \| location \| enrollment \| nickname \| varsity sports \| rugby since \| head coach row 1 : clemson university \| clemson, south carolina \| 20576 \| tigers \| 19 \| 1967 \| justin hickey row 2 : maryland \| college park, maryland \| 37641 \| terrapins \| 20 \| 1968 \| jeff soeken row 3 : navy \| annapolis, maryland \| 4576 \| midshipmen \| 30 \| 1963 \| mike flanagan row 4 : north carolina \| chapel hill, north carolina \| 29340 \| tar heels \| 28 \| 1966 \| pete earsman row 5 : north carolina state \| raleigh, north carolina \| 34767 \| wolfpack \| 25 \| 1965 \| jim latham row 6 : university of virginia \| charlottesville, virginia \| 20895 \| cavaliers \| 25 \| 1961 \| jon roberts row 7 : virginia tech \| blacksburg, virginia \| 30379 \| hokies \| 21 \| 1891 / 1968 \| andy richards row 8 : wake forest \| winston-salem, north car \| 7079 \| demon deacons \| 18 \| 1973 \| patrick kane ] Execute this SQL based on the above table: select ( select max ( enrollment ) ) - ( select min ( enrollment ) )	33065.0
[ header: year \| order \| quantity \| ger nos. row 1 : 1893 \| n31 \| 1 \| 999 row 2 : 1893 \| h33 \| 10 \| 979-988 row 3 : 1894 \| l33 \| 10 \| 989-998 row 4 : 1894 \| e34 \| 10 \| 969-978 row 5 : 1896 \| n37 \| 10 \| 959-968 row 6 : 1897 \| h40 \| 10 \| 949-958 row 7 : 1897 \| o41 \| 10 \| 602-608, 946-948 row 8 : 1898 \| g42 \| 10 \| 542-551 row 9 : 1898 \| k43 \| 10 \| 562-571 ] Execute this SQL based on the above table: select ( select year where order = 'h40' ) - ( select year where order = 'l33' )	3
[ header: name \| railway \| series \| maker \| dates \| drive \| wheel arrangement \| weight \| power \| notes row 1 : re 465 \| bls, switzerland \| re 465 001-465 00 \| slm, abb \| 1994-97 \| electric \| bo-bo \| 84 t \| 9,520 horsepower (7,099 kw \| most powerful locomotive with only four axles, similar row 2 : prr gg1 \| pennsylvania rail road ( \| 4800-4938, 900-929 \| altoona works, general electric \| 1934-43 \| electric \| 2-c+c-2 (4-6-6-4) \| 208.9 to 216.4 \| 4,629 horsepower (3,452 k \| most scrapped; the prototype and 15 production locomotive row 3 : allegheny \| chesapeake and ohi \| 1600-1659 (c&o), 900 \| lima locomotive works \| 1941-48 \| steam \| 2-6-6-6 \| 544 t \| 7,500 horsepower (5,593 kw \| two on static display row 4 : 060-ea softronic phoen \| romanian railways (cfr) \| 001, 2001-2004 \| softronic craiova \| 2009-present \| electric \| co'co' \| 120 t \| 8,851 horsepower (6,600 kw \| most powerful locomotive with highest continuous tractive effort row 5 : jr freight class ef200 \| jr freight \| None \| hitachi ltd \| 1990- \| electric \| bo'bo'bo' \| 100.8 t \| 8,046 horsepower (6,000 kw) \| most powerful single-frame narrow-gauge locomotive row 6 : china railways hxn5 \| china railways \| hxn50001-hxn \| ge, csr qishu \| 2008- \| diesel-electric \| co'co' \| 150 t \| 6,250 horsepower (4,661 kw \| most powerful diesel-electric locomotive in active production row 7 : china railways hxd1b \| china railways \| hxd1b0001-h \| csr zhuzhou electric \| 2009- \| electric \| co'co' \| 150 t \| 12,874 horsepower (9,600 kw \| most powerful single-frame locomotive in series production row 8 : china railways hxd2b \| china railways \| hxd2b0001-h \| datong electric locomotive, alstom \| 2009- \| electric \| co'co' \| 150 t \| 12,874 horsepower (9,600 kw \| most powerful single-frame locomotive in series production row 9 : china railways hxd1c \| china railways \| hxd1c0001-h \| csr zhuzhou electric \| 2009- \| electric \| co'co' \| 150 t \| 9,655 horsepower (7,200 kw \| None ] Execute this SQL based on the above table: select weight - weight	0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0
[ header: county \| km \| intersecting road \| notes \| coordinates row 1 : rocky view county \| 0 \| hwy 772 (symon \| north to madden south to sage hill \| 51°13′4′′n 114° row 2 : rocky view county \| 3 \| panorama road (24 street nw), range \| south to evanston \| 51°12′45′′n 114° row 3 : rocky view county \| 5 \| 14 street nw, range road 14 \| south to panorama hills \| 51°12′45′′n 114° row 4 : rocky view county \| 7 \| centre street n, range road 13 \| formerly highway 782 south to coventry \| 51°12′45′′n 114° row 5 : rocky view county \| 10 \| 15 street ne (calgary), \| balzac south to stony industrial \| 51°12′45′′n 114° row 6 : rocky view county \| 11 \| hwy 2, range road 10, fifth \| grade separated north to airdrie south to de \| 51°12′45′′n 114° row 7 : rocky view county \| 13 \| range road 293, 36 street ne \| crossiron mills shopping centre south to ston \| 51°12′45′′n 113° row 8 : rocky view county \| 18 \| range road 290, 84 street n \| None \| 51°12′45′′n 113° row 9 : rocky view county \| 28 \| hwy 791, range road \| south to delacour \| 51°12′45′′n 113° row 10 : rocky view county \| 32 \| range road 273 \| kathyrn \| 51°12′45′′n 113° row 11 : rocky view county \| 34 \| hwy 9, range road 272 \| north to irricana south to langdon \| 51°12′45′′n 113° row 12 : rocky view county \| 36 \| 1 avenue, range road 271 \| keoma \| 51°12′45′′n 113° ] Execute this SQL based on the above table: select km where km = 7	7
[ header: pick # \| nfl team \| player \| position \| college row 1 : 417 \| buffalo bills \| wayne lineberry \| linebacker \| east carolina row 2 : 418 \| atlanta falcons \| paul williams \| running back \| california row 3 : 419 \| philadelphia eagles \| bob haack \| tackle \| linfield (ore.) row 4 : 420 \| pittsburgh steelers \| bill eppright \| kicker \| kent state row 5 : 421 \| cincinnati bengals \| terry story \| tackle \| georgia tech row 6 : 422 \| boston patriots \| george muse \| linebacker \| grambling row 7 : 423 \| new orleans saints \| chico kurzawski \| defensive back \| northwestern row 8 : 424 \| detroit lions \| gary steele \| tight end \| army row 9 : 425 \| denver broncos \| buster o'brien \| quarterback \| richmond row 10 : 426 \| washington redskins \| rich dobbert \| defensive end \| springfield (mass.) row 11 : 427 \| miami dolphins \| tom krallman \| defensive end \| xavier row 12 : 428 \| green bay packers \| john mack \| running back \| central missouri row 13 : 429 \| new york giants \| ken riley \| linebacker \| texas-arlington row 14 : 430 \| houston oilers \| hank autry \| center \| southern mississippi row 15 : 431 \| chicago bears \| bob long \| wide receiver \| texas a&m row 16 : 432 \| san francisco 49ers \| joe rushing \| linebacker \| memphis state row 17 : 433 \| minnesota vikings \| wendell housely \| running back \| texas a&m row 18 : 434 \| san diego chargers \| larry rentz \| defensive back \| florida row 19 : 435 \| st. louis cardinals \| george hummer \| center \| arizona state row 20 : 436 \| cleveland browns \| bob oliver \| defensive end \| abilene christian row 21 : 437 \| los angeles rams \| jim thorpe \| defensive back \| hofstra row 22 : 438 \| kansas city chiefs \| ralph jenkins \| defensive back \| tuskegee row 23 : 439 \| dallas cowboys \| bill bailey \| defensive tackle \| lewis & clark row 24 : 440 \| oakland raiders \| billy austin \| tight end \| arkansas am&n row 25 : 441 \| baltimore colts \| joe cowan \| wide receiver \| johns hopkins row 26 : 442 \| new york jets \| fred zirkie \| defensive tackle \| duke ] Execute this SQL based on the above table: select count ( * ) where pick # < 436 and player <= 1616	0
[ 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 role where notes = 'first debut film in tollywood'	charu sen
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 30 may 1928 \| olympic stadium (amsterdam \| mexico \| 1-0 \| 7-1 \| 1928 summer olympics row 2 : 2 \| 30 may 1928 \| olympic stadium (amsterdam \| mexico \| 3-0 \| 7-1 \| 1928 summer olympics row 3 : 3 \| 22 june 1930 \| bologna, italy \| italy \| 1-0 \| 3-2 \| friendly row 4 : 4 \| 22 june 1930 \| bologna, italy \| italy \| 3-1 \| 3-2 \| friendly row 5 : 5 \| 13 december 1931 \| dublin, ireland \| ireland \| 3-0 \| 5-0 \| friendly row 6 : 6 \| 13 december 1931 \| dublin, ireland \| ireland \| 5-0 \| 5-0 \| friendly row 7 : 7 \| 24 april 1932 \| oviedo, spain \| yugoslavia \| 1-0 \| 2-1 \| friendly row 8 : 8 \| 21 june 1933 \| madrid, spain \| bulgaria \| 8-0 \| 13-0 \| friendly row 9 : 9 \| 21 june 1933 \| madrid, spain \| bulgaria \| 12-0 \| 13-0 \| friendly row 10 : 10 \| 11 march 1934 \| madrid, spain \| portugal \| 4-0 \| 9-0 \| 1934 world cup qualifier row 11 : 11 \| 11 march 1934 \| madrid, spain \| portugal \| 6-0 \| 9-0 \| 1934 world cup qualifier row 12 : 12 \| 21 june 1934 \| firenze, italy \| italy \| 1-0 \| 1-1 \| 1934 fifa world cup row 13 : 13 \| 24 january 1935 \| madrid, spain \| bulgaria \| 1-0 \| 2-0 \| friendly row 14 : 14 \| 19 january 1936 \| madrid, spain \| austria \| 2-4 \| 4-5 \| friendly row 15 : 15 \| 19 january 1936 \| madrid, spain \| austria \| 4-4 \| 4-5 \| friendly row 16 : 16 \| 23 february 1936 \| barcelona, spain \| germany \| 1-2 \| 1-2 \| friendly ] Execute this SQL based on the above table: select count ( * ) where score = '12-0'	1
[ header: tie \| home team \| score \| away team \| attendance row 1 : 1 \| aylesbury united \| 2-2 \| windsor & eton \| 847 row 2 : 2 \| burscough \| 5-0 \| wakefield & emley \| 437 row 3 : 3 \| dover athletic \| 0-3 \| forest green roves \| 932 row 4 : 4 \| farnborough town \| 2-0 \| halifax town \| 863 row 5 : 5 \| gloucester city \| 1-1 \| southport \| 1,237 row 6 : 6 \| havant & waterlooville \| 3-0 \| hayes \| 456 row 7 : 7 \| margate \| 0-2 \| tamworth \| 971 row 8 : 8 \| yeovil town \| 2-1 \| northwich victoria \| 4,469 ] Execute this SQL based on the above table: select count ( home team ) where away team = 'southport'	1
[ header: year \| title \| us hot 100 \| us modern rock \| us mainstream rock \| album row 1 : 1994 \| "neenah menasha" \| None \| None \| None \| rotting pinata row 2 : 1994 \| "plowed" \| None \| 5 \| 9 \| rotting pinata row 3 : 1995 \| "molly (16 candles down the drain)" \| 55 \| 3 \| 11 \| rotting pinata row 4 : 1995 \| "rainin'" \| None \| 34 \| 18 \| rotting pinata row 5 : 1996 \| "wax ecstatic (to \| None \| 15 \| 11 \| wax ecstatic row 6 : 1997 \| "have you seen mary" \| None \| None \| 7 \| wax ecstatic row 7 : 1999 \| "live here without you" \| None \| None \| None \| new pop sunday row 8 : 1999 \| "1000 times" \| None \| None \| None \| new pop sunday row 9 : 2003 \| "treat me wrong" \| None \| None \| None \| for all the drugs in the world row 10 : 2003 \| "leave this world" \| None \| None \| None \| for all the drugs in the world row 11 : 2005 \| "the man" \| None \| None \| None \| the man row 12 : 2005 \| "higher (part 1)" \| None \| None \| None \| the man row 13 : 2009 \| "come in from the rain" \| None \| None \| None \| destroy the boy ep row 14 : 2010 \| "destroy the boy" \| None \| None \| None \| destroy the boy ep row 15 : 2013 \| "fade from view" \| None \| None \| None \| stop the bleeding row 16 : 2013 \| "lifes bitter pills" \| None \| None \| None \| stop the bleeding ] Execute this SQL based on the above table: select count ( album ) where year < 7	0
[ header: year of election \| candidates elected \| # of seats available \| # of votes \| % of popular vote row 1 : 1963 \| 7 \| 108 \| None \| 15.5% row 2 : 1967 \| 20 \| 117 \| None \| 25.9% row 3 : 1971 \| 19 \| 117 \| None \| 27.1% row 4 : 1975 \| 38 \| 125 \| None \| 28.9% row 5 : 1977 \| 33 \| 125 \| None \| 28.0% row 6 : 1981 \| 21 \| 125 \| None \| 21.2% row 7 : 1985 \| 25 \| 125 \| 865507 \| 23.8% row 8 : 1987 \| 19 \| 130 \| 970813 \| 25.7% row 9 : 1990 \| 74 \| 130 \| 1509506 \| 37.6% row 10 : 1995 \| 17 \| 129 \| 854163 \| 20.6% row 11 : 1999 \| 9 \| 103 \| 551009 \| 12.6% row 12 : 2003 \| 7 \| 103 \| 660730 \| 14.7% row 13 : 2007 \| 10 \| 107 \| 741043 \| 16.8% row 14 : 2011 \| 17 \| 107 \| 980204 \| 22.73% ] Execute this SQL based on the above table: select year of election where % of popular vote = '25.7%'	1987
[ header: year \| title \| role \| notes row 1 : 1982 \| murder by phone \| teenage girl \| None row 2 : 1985 \| reckless disregard \| sandy \| tv movie row 3 : 1985 \| anne of green gables \| alice lawson \| tv movie row 4 : 1985 \| perry mason returns \| salesgirl \| tv movie row 5 : 1986 \| perry mason: the case of the shooting \| None \| tv movie row 6 : 1986 \| alex: the life of a child \| jane \| tv movie row 7 : 1987 \| smith & smith's comedy mill \| None \| tv series row 8 : 1987 \| deep sea conspiracy \| nurse \| None row 9 : 1987 \| amerika \| sally, vfa \| tv mini-series row 10 : 1987 \| anne of avonlea \| alice lawson \| tv movie row 11 : 1989 \| looking for miracles \| nurse blanche \| tv movie row 12 : 1990-1996 \| road to avonlea \| olivia king dale \| 91 episodes row 13 : 1991 \| a stranger in the family \| mrs. kessler \| tv movie row 14 : 1996 \| goosebumps \| mrs. mathews \| episode: "attack of the mutant" row 15 : 1998 \| happy christmas, miss king \| olivia dale \| tv movie row 16 : 1999 \| shadow lake \| louise garby \| tv movie row 17 : 1999 \| my grandmother ironed the king's \| narrator (voice) \| animated short row 18 : 2000-2001 \| timothy goes to school \| lilly (voice) \| series regular row 19 : 2007 \| bonded pairs \| herself \| short film row 20 : 2011 \| the being frank show \| None \| episode: "1.11" ] Execute this SQL based on the above table: select title where title = 'anne of green gables'	anne of green gables
[ header: symbol \| gsi \| meaning \| unicode \| description row 1 : ◬ \| ○ \| base triangulation surveying point \| u+25ec \| dot in upward-pointing triangle row 2 : None \| ○ \| electronic triangulation point \| None \| dot in upward-pointing triangle with flag row 3 : ⊡ \| ○ \| benchmark \| u+22a1 \| dot in square row 4 : ⛭ \| ○ \| factory \| u+26ed \| gear without hub row 5 : ⛯ \| ○ \| lighthouse \| u+26ef \| map symbol for lighthouse row 6 : ⛮ \| ○ \| power station \| u+26ee \| gear with handles row 7 : 文 \| ○ \| elementary or junior high school \| u+6587 \| kanji bun row 8 : 文 \| ○ \| high school \| None \| kanji bun in a circle row 9 : None \| ○ \| university \| None \| kanji bun with a smaller ka row 10 : None \| ○ \| technical college \| None \| kanji bun with a smaller ka row 11 : 〒 \| ○ \| post office \| u+3036 \| down tack (t-shape row 12 : 〒 \| × \| sub post office (not distribution centre) \| u+3012 \| down tack (t-shape row 13 : ⭙ \| ○ \| police station \| u+2b59 \| heavy circled saltire row 14 : ☓ \| ○ \| koban (police box) \| u+2613 \| diagonal cross (saltire) row 15 : ⊕ \| ○ \| public health centre \| u+2295 \| greek cross in circle row 16 : ⛨ \| ○ \| hospital \| None \| greek cross in shield row 17 : ⭖ \| ○ \| prefectural office \| u+26fb \| oval bullseye row 18 : ⭗ \| ○ \| city hall \| u+2b57 \| heavy circle with circle inside row 19 : ◉ \| ○ \| ward office \| u+25c9 \| fisheye row 20 : ⭘ \| ○ \| town hall \| u+2b58 \| heavy circle row 21 : ⛩ \| ○ \| shinto shrine \| u+26e9 \| shinto shrine row 22 : 卍 \| ○ \| buddhist temple \| u+534d \| manji (swastika) row 23 : ⛫ \| ○ \| castle \| u+26eb \| castle row 24 : ⛼ \| ○ \| cemetery \| u+26fc \| headstone graveyard symbol row 25 : ♨ \| ○ \| onsen (hot springs) \| u+2668 \| oval with three vertical wavy lines row 26 : ⛬ \| ○ \| historical landmark \| u+26ec \| historic site row 27 : ⛰ \| ○ \| summit \| u+26f0 \| mountain ] Execute this SQL based on the above table: select meaning where unicode = 'u+6587'	elementary or junior high school
[ header: rank \| name \| nationality \| time \| notes row 1 : None \| chelsey gotell \| canada \| 2:28.15 \| wr row 2 : None \| kirby cote \| canada \| 2:28.65 \| None row 3 : None \| valerie grand maison \| canada \| 2:29.29 \| None row 4 : 4 \| kelley becherer \| united states \| 2:32.21 \| None row 5 : 5 \| prue watt \| australia \| 2:32.87 \| None row 6 : 6 \| teigan van roosmal \| australia \| 2:39.20 \| None row 7 : 7 \| lidia marta banos \| spain \| 2:48.80 \| None row 8 : 8 \| akari kasamoto \| japan \| 2:55.16 \| None ] Execute this SQL based on the above table: select count ( distinct name )	8
[ header: # \| title \| date \| director \| story \| synopsis \| notes row 1 : 13 \| sacre bleu cross \| february 1, 1967 \| gerry chiniquy \| john w. dunn \| when they go after hassan the ass \| the commissioner does not appear row 2 : 14 \| le quiet squad \| may 17, 1967 \| robert mckimson \| jim ryan \| the commissioner is overworked and needs absolute \| sgt. deux-deux does row 3 : 15 \| bomb voyage \| may 22, 1967 \| robert mckimson \| tony benedict \| the commissioner is kidnapped by alien \| music score is set to ottorin row 4 : 16 \| le pig-al patrol \| may 24, 1967 \| gerry chiniquy \| jim ryan \| the inspector is sent after biker pig al \| sgt. deux-deux does row 5 : 17 \| le bowser bagger \| may 30, 1967 \| gerry chiniquy \| jim ryan \| the inspector is given private bowser, \| sgt. deux-deux does row 6 : 18 \| le escape goat \| june 29, 1967 \| gerry chiniquy \| jim ryan \| after being fired for letting louie le \| sgt. deux-deux does row 7 : 19 \| le cop on le rocks \| july 3, 1967 \| george singer \| jim ryan \| the inspector is sent to prison having been mistaken \| sgt. deux-deux and row 8 : 20 \| crow de guerre \| august 16, 1967 \| gerry chiniquy \| john w. dunn \| the inspector is continually outwitted by a \| sgt. deux-deux and row 9 : 21 \| canadian can-can \| september 20, 1967 \| gerry chiniquy \| john w. dunn \| sent to canada on an exchange programme, the inspector \| sgt. deux-deux does row 10 : 22 \| tour de farce \| october 25, 1967 \| gerry chiniquy \| jim ryan \| through his own mistake, the inspector is strand \| sgt. deux-deux and row 11 : 23 \| the shooting of caribou lou \| december 20, 1967 \| gerry chiniquy \| john w. dunn \| on holiday in canada as a mountie \| sgt. deux-deux and ] Execute this SQL based on the above table: select date where date < ( select date where date = 'may 22, 1967' ) order by date desc limit 1	may 17, 1967
[ header: protein \| natural host \| normal function \| prion state \| prion phenotype \| year identified row 1 : ure2p \| saccharomyces cerevisiae \| nitrogen catabolite repressor \| [ure3] \| growth on poor nitrogen sources \| 1994 row 2 : sup35p \| saccharomyces cerevisiae \| translation termination factor \| [psi+] \| increased levels of nonsense suppression \| 1994 row 3 : het-s \| podospora anserina \| regulates heterokaryon incompatibility \| [het-s] \| heterokaryon formation between incompatible strains \| 1997 row 4 : vacuolar protease b \| saccharomyces cerevisiae \| death in stationary phase, failure in meio \| [β] \| failure to degrade cellular proteins under n \| 2003 row 5 : map kinases \| podospora anserina \| increased pigment, slow growth \| [c] \| None \| 2006 row 6 : rnq1p \| saccharomyces cerevisiae \| protein template factor \| [rnq+],[pin+] \| promotes aggregation of other prions \| 2008 row 7 : mca1 \| saccharomyces cerevisiae \| putative yeast caspase \| [mca+] \| None \| 2008 row 8 : swi1 \| saccharomyces cerevisiae \| chromatin remodeling \| [swi+] \| poor growth on some carbon sources \| 2008 row 9 : cyc8 \| saccharomyces cerevisiae \| transcriptional repressor \| [oct+] \| transcriptional derepression of multiple genes \| 2009 row 10 : mot3 \| saccharomyces cerevisiae \| nuclear transcription factor \| [mot3+] \| transcriptional derepression of anaero \| 2009 row 11 : pma1+std1 \| saccharomyces cerevisiae \| pma1 = major plasma membrane proton pump \| [gar+] \| resistant to glucose-associated repression \| 2009 row 12 : sfp1 \| saccharomyces cerevisiae \| global transcriptional regulator \| [isp+] \| antisuppressor of certain sup \| 2010 row 13 : mod5 \| saccharomyces cerevisiae \| None \| [mod+] \| None \| 2012 ] Execute this SQL based on the above table: select count ( * ) where natural host = 'saccharomyces cerevisiae'	11
[ header: match \| team \| result points \| match status \| opposition strength \| regional strength \| ranking points row 1 : amplistan vs. bestrudi \| amplistan bestrudia \| 0 3 \| 1.0 1.0 \| 0.50 1.98 \| 0.94 0.94 \| 0 558 row 2 : amplistan vs. bestrudi \| amplistan bestrudia \| 1 1 \| 1.0 1.0 \| 0.50 1.98 \| 0.94 0.94 \| 47 186 row 3 : amplistan vs. bestrudi \| amplistan bestrudia \| 3 0 \| 4.0 4.0 \| 0.50 1.98 \| 0.94 0.94 \| 564 0 row 4 : amplistan vs. bestrudi \| amplistan bestrudia \| 1 2 \| 4.0 4.0 \| 0.50 1.98 \| 0.94 0.94 \| 188 1488 row 5 : amplistan vs. conesto \| amplistan conesto \| 0 3 \| 1.0 1.0 \| 1.61 1.98 \| 0.99 0.99 \| 0 588 row 6 : conesto vs. delphi \| conesto delphiz \| 3 0 \| 2.5 2.5 \| 1.70 1.61 \| 0.96 0.96 \| 1224 0 row 7 : conesto vs. delphi \| conesto delphiz \| 0 3 \| 2.5 2.5 \| 1.70 1.61 \| 0.96 0.96 \| 0 1159 row 8 : conesto vs. amplistan \| conesto amplistan \| 1 2 \| 4.0 4.0 \| 1.98 1.61 \| 0.99 0.99 \| 784 1275 ] Execute this SQL based on the above table: select count ( distinct regional strength )	3
[ header: typ \| construction time \| cylinders \| capacity \| power \| top speed row 1 : vis-a-vis \| 1900-1903 \| 1 \| 400 cc \| 2,6 kw (3,5 p \| 30 km/h (19 mph) row 2 : 45 ps (33 kw; \| 1900-1903 \| 1 \| 510 cc \| 3,3 kw (4,5 ps \| 35 km/h (22 mph) row 3 : 24/28 ps \| 1904-1905 \| 4 inline \| 4,016 cc \| 20,6 kw (28 ps \| 65 km/h (40 mph) row 4 : 8/12 (8/14) ps \| 1904-1906 \| 2 inline \| 2,008 cc \| 8,8-10,3 kw (12-14 \| 50 km/h (31 mph) row 5 : 4/8 ps \| 1906-1907 \| 2 v \| 1,032 cc \| 5,9 kw (8 ps) \| 55 km/h (34 mph) row 6 : 5/9 ps \| 1907-1909 \| 2 inline \| 1,134 cc \| 6,6 kw (9 ps) \| 60 km/h (37 mph) row 7 : 11/18 ps \| 1907-1910 \| 4 inline \| 2,799 cc \| 13,2 kw (18 ps) \| 55 km/h (34 mph) row 8 : 23/50 ps \| 1909-1912 \| 4 inline \| 5,800 cc \| 42,6 kw (58 p \| None row 9 : 13/30 ps \| 1909-1912 \| 4 inline \| 3,180 cc \| 25,7 kw (35 ps \| None row 10 : 10/28 ps \| 1909-1912 \| 4 inline \| 2,612 cc \| 22 kw (30 ps) \| None row 11 : k 7/15 ps \| 1910-1913 \| 4 inline \| 1,768 cc \| 11 kw (15 ps) \| 60 km/h (37 mph) row 12 : 30/70 ps \| 1911-1914 \| 4 inline \| 7,853 cc \| 51 kw (70 ps) \| 115 km/h (71 mph) row 13 : 15/40 ps \| 1913-1914 \| 4 inline \| 3,866 cc \| 33 kw (45 ps) \| 90 km/h (56 mph) row 14 : 25/55 ps \| 1913-1914 \| 4 inline \| 6,457 cc \| 44 kw (60 ps) \| None row 15 : 12/30 ps \| 1914 \| 4 inline \| 3,115 cc \| 25,7 kw (35 ps \| None row 16 : 9/24 (9/30) ps \| 1921-1924 \| 4 inline \| 2,298 cc \| 17,6-22 kw (24-30 \| 65 km/h (40 mph)- row 17 : 18/60 ps \| 1921-1924 \| 4 inline \| 4,712 cc \| 44 kw (60 ps) \| 100 km/h (62 mph) row 18 : 18/80 ps \| 1925-1927 \| 6 inline \| 4,704 cc \| 59 kw (80 ps \| 100 km/h (62 mph) row 19 : standard 8 \| 1928-1933 \| 8 inline \| 3,887 cc \| 51-59 kw (70-80 \| 100 km/h (62 mph)- row 20 : standard 6 3u \| 1933-1934 \| 6 inline \| 2,916 cc \| 44 kw (60 ps) \| 100 km/h (62 mph) ] Execute this SQL based on the above table: select typ order by cylinders desc limit 1	standard 8
[ header: year \| domestic passengers \| international passengers \| total passengers \| change row 1 : 2006 \| 764831 \| 83115 \| 847946 \| +4.6% row 2 : 2007 \| 764674 \| 75276 \| 839950 \| -0.9% row 3 : 2008 \| 709779 \| 92176 \| 801955 \| -4.5% row 4 : 2009 \| 605534 \| 82424 \| 687958 \| -14.3% row 5 : 2010 \| 595457 \| 105119 \| 700576 \| +1.7% row 6 : 2011 \| 850305 \| 123607 \| 973912 \| +39.1% row 7 : 2012 \| 899854 \| 178679 \| 1078533 \| +10.7% row 8 : 2013 \| 745178 \| 131902 \| 877080 \| -18.7% ] Execute this SQL based on the above table: select change where year = ( select year where change = '-18.7%' ) - 1	+10.7%
[ header: name \| full name \| caps \| goals \| first cap \| opponent \| club row 1 : cafu \| marcos evangelista de morae \| 142 \| 5 \| 12 september 1990 \| spain \| sao paulo row 2 : rogerio ceni \| rogerio ceni \| 17 \| 0 \| 16 december 1997 \| mexico \| sao paulo row 3 : juninho \| antonio augusto ribeiro \| 40 \| 6 \| 28 march 1999 \| south korea \| vasco da gama row 4 : edmilson \| edmilson jose gomes \| 42 \| 1 \| 18 july 2000 \| paraguay \| sao paulo row 5 : tinga \| paulo cesar fonseca \| 4 \| 0 \| 9 august 2001 \| panama \| gremio row 6 : kaka \| ricardo izecson dos \| 87 \| 29 \| 31 january 2002 \| bolivia \| sao paulo row 7 : diego \| diego ribas da cunha \| 33 \| 4 \| 30 april 2003 \| mexico \| santos row 8 : gomes \| heurelho da silva go \| 11 \| 0 \| 13 july 2003 \| mexico \| cruzeiro row 9 : dudu cearense \| alexandro silva de sousa \| 11 \| 0 \| 8 july 2004 \| chile \| vitoria row 10 : grafite \| edinaldo batista \| 4 \| 1 \| 27 april 2005 \| guatemala \| sao paulo row 11 : josue \| josue anunciado de olive \| 28 \| 1 \| 27 march 2007 \| ghana \| sao paulo row 12 : doni \| donieber alexander marangon \| 10 \| 0 \| 5 june 2007 \| turkey \| as roma row 13 : alex silva \| alex sandro da silva \| 2 \| 0 \| 4 july 2007 \| ecuador \| sao paulo row 14 : thiago silva \| thiago emiliano da \| 40 \| 1 \| 12 october 2008 \| venezuela \| fluminense row 15 : ramires \| ramires santos do \| 34 \| 3 \| 6 june 2009 \| uruguay \| cruzeiro row 16 : diego tardelli \| diego tardelli martins \| 5 \| 0 \| 12 august 2009 \| estonia \| atletico mineiro row 17 : carlos eduardo \| carlos eduardo marques \| 6 \| 0 \| 14 november 2009 \| england \| hoffenheim row 18 : victor \| victor leandro bagy \| 5 \| 0 \| 10 august 2010 \| united states \| gremio row 19 : ederson \| ederson honorato campos \| 1 \| 0 \| 10 august 2010 \| united states \| lyon row 20 : wesley \| wesley lopes beltrame \| 2 \| 0 \| 3 october 2010 \| iran \| werder bremen row 21 : oscar \| oscar dos santo \| 22 \| 6 \| 14 september 2011 \| argentina \| internacional row 22 : jefferson \| jefferson de oliveira galva \| 7 \| 0 \| 14 september 2011 \| argentina \| botafogo row 23 : kleber \| kleber laude pinheiro \| 2 \| 0 \| 10 november 2011 \| gabon \| fc porto ] Execute this SQL based on the above table: select full name where goals = ( select goals where full name = 'rogerio ceni' ) + 1	edmilson jose gomes de moraes, edinaldo batista libanio, josue anunciado de oliveira, thiago emiliano da silva
[ header: tie no \| home team \| score \| away team \| attendance row 1 : 1 \| ifk vasteras (d2) \| 3-2 \| ik sleipner (d \| 875 row 2 : 2 \| kramfors if (n) \| 2-4 (aet) \| bk kenty (d3) \| 2808 row 3 : 3 \| reymersholms ik \| 5-2 \| atvidabergs ff (d \| 1504 row 4 : 4 \| wifsta/ostrands if \| 4-3 \| ludvika ffi \| 974 row 5 : 5 \| raa if (d3) \| 3-2 \| sandvikens if (d \| 2116 row 6 : 6 \| sandvikens aik \| 2-3 (aet) \| tidaholms g \| 822 row 7 : 7 \| karlstads bik (d \| 2-5 \| if friska viljor (n) \| 1550 row 8 : 8 \| sandviks ik (n \| 2-3 \| surahammars if (d2) \| None ] Execute this SQL based on the above table: select score order by attendance desc limit 1	2-4 (aet)
[ header: boat # \| name \| builder \| laid down \| launched \| completed \| fate row 1 : 4918 \| ha-208 \| sasebo naval arsenal \| 01-05-1945 \| 26-05-1945 \| 04-08-1945 \| decommissioned 30-11-1945. scut row 2 : 4920 \| ha-210 \| sasebo naval arsenal \| 14-05-1945 \| 10-06-1945 \| 11-08-1945 \| decommissioned 30-11-1945. scut row 3 : 4925 \| ha-215 \| sasebo naval arsenal \| 22-05-1945 \| 15-05-1945 \| None \| incomplete until the end of war (95%). row 4 : 4931 \| ha-221 \| mitsubishi-kobe shipyard \| 20-04-1945 \| 04-08-1945 \| None \| incomplete until the end of war (85%). row 5 : 4933 \| ha-223 \| kawasaki-kobe shipyard \| 01-05-1945 \| None \| None \| incomplete until the end of war (60%). scrap row 6 : 4938 \| ha-228 \| sasebo naval arsenal \| 21-06-1945 \| 18-07-1945 \| None \| incomplete until the end of war (75%). row 7 : 4939 \| ha-229 \| sasebo naval arsenal \| 27-06-1945 \| 27-07-1945 \| None \| incomplete until the end of war (75%). scrap row 8 : 4942 \| ha-232 \| sasebo naval arsenal \| 18-07-1945 \| None \| None \| incomplete until the end of war (40%). later row 9 : 4944 \| ha-234 \| kawasaki-kobe shipyard \| 15-05-1945 \| None \| None \| incomplete until the end of war (50%). scrap row 10 : 4945 \| ha-235 \| kawasaki-senshu shipyard \| 01-06-1945 \| None \| None \| incomplete until the end of war (10%). later row 11 : 4946 \| ha-236 \| kawasaki-kobe shipyard \| 01-06-1945 \| None \| None \| incomplete until the end of war (40%). scrap row 12 : 4958 - 4989 \| None \| None \| None \| None \| None \| constructions were not started until the end of war ] Execute this SQL based on the above table: select count ( launched ) where name = 'ha-223' and boat # = 4946	0
[ header: # \| date \| opponent \| score \| site/stadium \| win \| loss \| save \| attendance \| overall record \| ncaat record row 1 : 72 \| june 15 \| rice \| 17-5 \| rosenblatt stadium \| wilson (8-5) \| berry (8-5) \| none \| 18108 \| 43-29 \| 6-2 row 2 : 73 \| june 17 \| north carolina \| 5-3 \| rosenblatt stadium \| breckley (3-2) \| warren (9-2) \| burke (13) \| 23314 \| 44-29 \| 7-2 row 3 : 74 \| june 21 \| north carolina \| 4-3 \| rosenblatt stadium \| white (13-3) \| miller (6-4) \| none \| 18611 \| 44-30 \| 7-3 row 4 : 75 \| june 22 \| north carolina \| 6-1 \| rosenblatt stadium \| allison (4-5) \| moran (1-2) \| none \| 15125 \| 45-30 \| 8-3 row 5 : 76 \| june 23 \| georgia \| 7-6 \| rosenblatt stadium \| harvil (2-1) \| burke (4-6) \| fields (18) \| 19559 \| 45-31 \| 8-4 row 6 : 77 \| june 24 \| georgia \| 19-10 \| rosenblatt stadium \| sprague (6-2) \| dodson (5-5) \| hower (1) \| 17223 \| 46-31 \| 9-4 row 7 : 78 \| june 25 \| georgia \| 6-1 \| rosenblatt stadium \| wilson (5-5) \| moreau (4-4) \| none \| 18932 \| 47-31 \| 10-4 ] Execute this SQL based on the above table: select ncaat record group by ncaat record order by count ( * ) desc limit 1	9-4
[ 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 1st venue where 3rd venue = 'london'	beijing
[ header: place \| position \| number \| name \| nasl \| playoffs \| cfu club championship \| concacaf champions league \| total row 1 : 1 \| fw \| 11 \| nicholas addlery \| 9 \| 0 \| 0 \| 1 \| 10 row 2 : 2 \| fw \| 9 \| jonathan fana \| 4 \| 0 \| 4 \| 0 \| 8 row 3 : 3 \| fw \| 7 \| david foley \| 6 \| 1 \| 0 \| 0 \| 7 row 4 : 3 \| fw \| 24 \| hector ramos \| 3 \| 0 \| 2 \| 2 \| 7 row 5 : 5 \| df \| 33 \| jay needham \| 3 \| 0 \| 0 \| 0 \| 3 row 6 : 5 \| fw \| 22 \| gregory richardson \| 1 \| 0 \| 1 \| 1 \| 3 row 7 : 7 \| mf \| 20 \| josh hansen \| 0 \| 0 \| 2 \| 0 \| 2 row 8 : 7 \| None \| None \| own goal \| 0 \| 0 \| 2 \| 0 \| 2 row 9 : 9 \| df \| 3 \| richard martinez \| 1 \| 0 \| 0 \| 0 \| 1 row 10 : 9 \| df \| 16 \| anthony vazquez \| 1 \| 0 \| 0 \| 0 \| 1 row 11 : 9 \| df \| 5 \| noah delgado \| 1 \| 0 \| 0 \| 0 \| 1 row 12 : 9 \| mf \| 14 \| jarad van schaik \| 1 \| 0 \| 0 \| 0 \| 1 row 13 : 9 \| mf \| 17 \| tyler wilson \| 1 \| 0 \| 0 \| 0 \| 1 row 14 : 9 \| mf \| 24 \| justin fojo \| 1 \| 0 \| 0 \| 0 \| 1 row 15 : None \| None \| None \| totals \| 32 \| 1 \| 11 \| 4 \| 48 ] Execute this SQL based on the above table: select count ( position ) + count ( name )	28
[ header: metropolitan area \| country \| rank \| forstall 2003 est. \| official population \| year row 1 : ahmedabad \| india \| None \| None \| 6352254 \| 2011 row 2 : atlanta \| united states \| None \| None \| 5457831 \| 2012 row 3 : bangalore \| india \| None \| None \| 8728906 \| 2011 row 4 : barcelona \| spain \| None \| None \| 5357422 \| 2012 row 5 : belo horizonte \| brazil \| None \| None \| 5504635 \| 2012 row 6 : beijing \| china \| 19 \| 12500000 \| None \| None row 7 : berlin \| germany \| None \| None \| 5097712 \| 2012 row 8 : bogota \| colombia \| None \| None \| 9023644 \| 2014 row 9 : buenos aires \| argentina \| 17 \| 13170000 \| 12801364 \| 2010 row 10 : cairo \| egypt \| 16 \| 14450000 \| None \| None row 11 : chennai \| india \| None \| None \| 8917749 \| 2011 row 12 : chicago \| united states \| None \| 9175000 \| 9522434 \| 2012 row 13 : dallas-fort worth \| united states \| None \| None \| 6700991 \| 2012 row 14 : dhaka \| bangladesh \| None \| None \| 12797394 \| 2008 row 15 : houston \| united states \| None \| None \| 6177035 \| 2012 row 16 : hyderabad \| india \| None \| None \| 7749334 \| 2011 row 17 : istanbul \| turkey \| None \| None \| 14160467 \| 2014 row 18 : jakarta \| indonesia \| 6 \| 18900000 \| 28019545 \| 2010 row 19 : karachi \| pakistan \| 20 \| 11800000 \| None \| None row 20 : kolkata \| india \| 14 \| 15100000 \| 14617882 \| 2011 row 21 : lima \| peru \| None \| None \| 9735587 \| 2014 row 22 : london \| united kingdom \| 18 \| 12875000 \| 13614409 \| 2012 row 23 : los angeles \| united states \| 13 \| 15250000 \| 13052921 \| 2012 row 24 : madrid \| spain \| None \| None \| 6387824 \| 2012 row 25 : manila \| philippines \| 11 \| 16300000 \| 11855975 \| 2010 row 26 : miami \| united states \| None \| None \| 5762717 \| 2012 row 27 : moscow \| russia \| 15 \| 15000000 \| 17000000 \| None row 28 : nagoya \| japan \| None \| None \| 9107000 \| 2010 row 29 : new york \| united states \| 4 \| 19750000 \| 19831858 \| 2012 row 30 : osaka-kobe-ky \| japan \| 9 \| 17375000 \| 19342000 \| 2010 row 31 : paris \| france \| None \| None \| 12223100 \| 2010 row 32 : philadelphia \| united states \| None \| None \| 6018800 \| 2012 row 33 : pune \| india \| None \| None \| 5049968 \| 2011 row 34 : ruhr \| germany \| None \| None \| 5135136 \| 2012 row 35 : rio de janeiro \| brazil \| None \| None \| 11846530 \| 2012 row 36 : sao paulo \| brazil \| 7 \| 18850000 \| 19956590 \| 2012 row 37 : santiago \| chile \| None \| None \| 6683852 \| 2012 row 38 : shanghai \| china \| 10 \| 16650000 \| None \| None row 39 : seoul \| south korea \| 2 \| 20550000 \| 25721000 \| 2012 row 40 : singapore \| singapore \| None \| None \| 5312000 \| 2012 row 41 : tokyo \| japan \| 1 \| 32450000 \| 36923000 \| 2010 ] Execute this SQL based on the above table: select country where metropolitan area = 'ruhr'	germany
[ header: year \| game of the year \| abstract strategy \| advanced strategy \| family \| family card \| family strategy \| party \| puzzle \| word \| historical simulation \| other row 1 : 1992 \| pipeline \| terrace \| None \| showdown yahtzee \| arcade: super tetris \| real-life strategy: d-day \| humm...ble \| heaven & earth \| wordsters \| adventure: the lost files of sherlock \| trivia: times to remember row 2 : 1993 \| inklings \| char \| None \| perpetual notion \| arcade: ecco the dolphin \| real-life: civilization \| oodles \| the incredible machine \| pick two! \| adventure: return to zork \| trivia: celebrity challenge row 3 : 1994 \| myst \| the game of y \| wargames: v for victory \| peg poker \| arcade: lode runner: the legend returns \| real-life strategy: x-com: \| the doonesbury game \| breakthru! \| boggle master \| adventure: the elder scrolls: arena \| trivia: quote unquote row 4 : 1995 \| sharp shooters \| strategy: quixo \| conflict: colonial diplomacy \| touche \| phantoms of the ice \| sports: dynasty league baseball \| catch phrase \| lights out \| pre.fix \| adventure & role playing: dragon dice: battle \| trivia: chronicles ccg: on row 5 : 1997 \| 25 words or less \| transpose \| strategy & conflict: field command \| mole in the hole \| take 6 \| priceless \| last chance \| deluxe lights out \| bethump'd with words \| adventure & role-playing: dragonl \| trivia: origins row 6 : 1998 \| quoridor \| balanx \| strategy & conflict: princess ryan' \| take it easy \| get the goods \| quandary \| wise and otherwise \| lost in a jigsaw \| a to z \| None \| trivia: director's cut ccg row 7 : 1999 \| fossil \| gipf \| conflict: atlantic storm \| montgolfiere \| bohnanza \| el grande \| say when!! \| stormy seas \| alpha blitz \| None \| trivia: where in time is carmen s row 8 : 2000 \| torres \| octi \| memory: mamma mia \| moonshot \| buried treasure \| tikal \| apples to apples \| ricochet robot \| double quick! \| None \| trivia: bioviva ccg: row 9 : 2001 \| aladdin's dragons \| zertz \| the princes of florence \| cafe international \| hellrail \| web of power \| democrazy \| lunar lockout \| None \| paths of glory \| two-player card: caesar row 10 : 2002 \| evo \| morisi \| java \| africa \| babel \| lord of the rings \| hilarium \| flip-it! \| my word! \| drive on paris \| manual dexterity: space game row 11 : 2004 \| new england \| clans \| wildlife \| i'm the boss! \| queen's necklace \| zoosim \| party/trivia: dibs \| river crossing \| crossword pyramids \| hammer of the scots \| two-player card: balloon cup row 12 : 2005 \| buyword \| yinsh \| tahuantinsuy \| vanished planet \| victory & honor \| alexandros \| party/trivia: cranium ho \| None \| None \| memoir '44 \| None ] Execute this SQL based on the above table: select count ( family strategy ) where family card = 'phantoms of the ice'	1
[ header: member \| party \| term row 1 : john ryan \| none \| 1859-1864 row 2 : james martin \| none \| 1864-1869 row 3 : james watson \| none \| 1869-1880 row 4 : james carroll \| independent protectionist \| 1894-1895 row 5 : james carroll \| protectionist \| 1895-1901 row 6 : james carroll \| progressive \| 1901-1904 row 7 : andrew kelly \| labor \| 1904-1913 row 8 : thomas brown \| labor \| 1913-1917 row 9 : ernest buttenshaw \| nationalist \| 1917-1920 row 10 : ernest buttenshaw \| country \| 1927-1938 row 11 : griffith evans \| country \| 1938-1943 row 12 : john chanter \| labor \| 1943-1947 row 13 : robert medcalf \| country \| 1947-1950 row 14 : ian armstrong \| national \| 1981-2007 ] Execute this SQL based on the above table: select count ( * ) where member = 2	0
[ header: year \| title \| role \| notes row 1 : 1995 \| new york undercover \| herself \| "private enemy no. 1" (ep row 2 : 1998 \| the jamie foxx show \| ola mae \| "papa don't preach" (e row 3 : 1999 \| moesha \| herself \| "good vibrations?" (episo row 4 : 2001 \| angel: one more road to cross \| guardian angel \| direct to dvd row 5 : 2001 \| prison song \| mrs. butler \| main role row 6 : 2001 \| strong medicine \| simone fellows \| "history" (episode row 7 : 2007 \| ghost whisperer \| jackie boyd \| "mean ghost" (episo row 8 : 2007 \| entourage \| herself \| "gary's desk" (ep row 9 : 2009 \| i can do bad all by myself \| tanya \| supporting role row 10 : 2009 \| 30 rock \| herself \| guest row 11 : 2010 \| american idol \| guest judge/herself \| auditions were held in atlanta, ge row 12 : 2012 \| rock of ages \| justice charlier \| None row 13 : 2013 \| betty and coretta \| dr. betty shab \| an original lifetime movie row 14 : 2013 \| the x factor \| guest judge/herself \| blige assisted nicole scher row 15 : 2013 \| black nativity \| platinum fro \| None ] Execute this SQL based on the above table: select year where notes = 'main role'	2001
[ header: fin \| st \| driver \| car # \| make \| points \| bonus \| laps \| winnings row 1 : 1 \| 1 \| jeff gordon \| 24 \| chevrolet \| 195 \| 10 \| 192 \| $355,511 row 2 : 2 \| 8 \| jimmie johnson \| 48 \| chevrolet \| 175 \| 5 \| 192 \| $251,736 row 3 : 3 \| 26 \| kurt busch \| 2 \| dodge \| 170 \| 5 \| 192 \| $212,483 row 4 : 4 \| 2 \| david gilliland \| 38 \| ford \| 160 \| None \| 192 \| $182,689 row 5 : 5 \| 25 \| jamie mcmurray \| 26 \| ford \| 160 \| 5 \| 192 \| $134,675 row 6 : 7 \| 36 \| dale earnhardt jr \| 8 \| chevrolet \| 151 \| 5 \| 192 \| $149,233 row 7 : 8 \| 20 \| david stremme \| 40 \| dodge \| 147 \| 5 \| 192 \| $106,025 row 8 : 9 \| 28 \| ryan newman \| 12 \| dodge \| 138 \| None \| 192 \| $133,450 row 9 : 10 \| 37 \| martin truex jr \| 1 \| chevrolet \| 134 \| None \| 192 \| $126,495 row 10 : 11 \| 9 \| scott riggs \| 10 \| dodge \| 130 \| None \| 192 \| $107,050 row 11 : 12 \| 30 \| kasey kahne \| 9 \| dodge \| 132 \| 5 \| 192 \| $138,891 row 12 : 13 \| 34 \| jeff green \| 66 \| chevrolet \| 129 \| 5 \| 192 \| $120,933 row 13 : 14 \| 17 \| matt kenseth \| 17 \| ford \| 126 \| 5 \| 192 \| $137,641 row 14 : 17 \| 10 \| david ragan \| 6 \| ford \| 117 \| 5 \| 192 \| $127,100 row 15 : 19 \| 31 \| j.j. yeley \| 18 \| chevrolet \| 106 \| None \| 192 \| $116,033 row 16 : 20 \| 35 \| bobby labonte \| 43 \| dodge \| 103 \| None \| 192 \| $127,111 row 17 : 21 \| 3 \| denny hamlin \| 11 \| chevrolet \| 105 \| 5 \| 192 \| $102,550 row 18 : 23 \| 18 \| jeremy mayfield \| 36 \| toyota \| 94 \| None \| 192 \| $83,075 row 19 : 25 \| 29 \| reed sorenson \| 41 \| dodge \| 88 \| None \| 192 \| $101,947 row 20 : 27 \| 11 \| boris said \| 160 \| ford \| 87 \| 5 \| 191 \| $80,775 row 21 : 28 \| 32 \| tony stewart \| 20 \| chevrolet \| 84 \| 5 \| 190 \| $127,761 row 22 : 30 \| 21 \| johnny sauter \| 70 \| chevrolet \| 73 \| None \| 190 \| $79,325 row 23 : 32 \| 14 \| david reutimann \| 0 \| toyota \| 67 \| None \| 184 \| $78,525 row 24 : 34 \| 42 \| jeff burton \| 31 \| chevrolet \| 66 \| 5 \| 151 \| $118,266 row 25 : 37 \| 13 \| kyle busch \| 5 \| chevrolet \| 52 \| None \| 130 \| $95,800 row 26 : 38 \| 33 \| joe nemechek \| 13 \| chevrolet \| 49 \| None \| 130 \| $77,450 row 27 : 39 \| 7 \| casey mears \| 25 \| chevrolet \| 51 \| 5 \| 124 \| $85,250 row 28 : 40 \| 43 \| dale jarrett \| 44 \| toyota \| 43 \| None \| 38 \| $77,000 ] Execute this SQL based on the above table: select count ( * ) where st >= 706	0
[ header: season \| date \| driver \| team \| chassis \| engine \| race distance laps \| race distance miles (km) \| race time \| average speed (mph) \| report row 1 : 2005 \| july 17 \| sebastien bourdais \| newman/haas racing \| lola \| ford-cosworth \| 88 \| 173.624 (279.42) \| 1:38:55 \| 105.302 \| report row 2 : 2006 \| july 23 \| justin wilson \| rusport \| lola \| ford-cosworth \| 85 \| 167.705 (269.895) \| 1:40:30 \| 100.112 \| report row 3 : 2007 \| july 22 \| sebastien bourdais \| newman/haas/lanigan racing \| panoz \| cosworth \| 96 \| 189.408 (304.822) \| 1:45:41 \| 107.517 \| report row 4 : 2008 \| july 26 \| scott dixon \| chip ganassi racing \| dallara \| honda \| 91 \| 179.543 (288.946) \| 1:51:06 \| 96.967 \| report row 5 : 2009 \| july 26 \| will power \| penske racing \| dallara \| honda \| 95 \| 187.435 (301.647) \| 1:42:42 \| 109.498 \| report row 6 : 2010 \| july 25 \| scott dixon \| chip ganassi racing \| dallara \| honda \| 95 \| 187.435 (301.647) \| 1:50:37 \| 101.666 \| report row 7 : 2011 \| july 24 \| will power \| penske racing \| dallara \| honda \| 80 \| 180.48 (290.454) \| 1:57:23 \| 90.949 \| report row 8 : 2012 \| july 22 \| helio castroneves \| penske racing \| dallara \| chevrolet \| 75 \| 169.2 (272.301) \| 1:38:51 \| 101.246 \| report ] Execute this SQL based on the above table: select average speed (mph) where average speed (mph) not null order by race time limit 396	105.302, 100.112, 107.517, 96.967, 109.498, 101.666, 90.949, 101.246
[ header: date \| team \| name \| position \| years in nba \| notes row 1 : april 23, 2009 \| houston rockets \| dikembe mutombo \| c \| 18 \| suffered a season-ending injury row 2 : may 21, 2009 \| free agent \| sam cassell \| g \| 15 \| became an assistant coach of the wizards row 3 : september 3, 2009 \| free agent \| bruce bowen \| f \| 12 \| None row 4 : october 22, 2009 \| free agent \| mark madsen \| f \| 9 \| became an assistant coach of the uta row 5 : october 23, 2009 \| free agent \| bobby jackson \| g \| 12 \| None row 6 : october 23, 2009 \| free agent \| tyronn lue \| g \| 11 \| became the director of basketball development of the celtics row 7 : november 5, 2009 \| free agent \| darrick martin \| g \| 14 \| named assistant director of player development of timberwolves ] Execute this SQL based on the above table: select abs ( ( select years in nba where position = 'g' ) - ( select years in nba where position = 'g' ) )	0.0
[ header: year \| position row 1 : 1957 \| did not enter row 2 : 1959 \| did not enter row 3 : 1962 \| did not enter row 4 : 1963 \| did not enter row 5 : 1965 \| did not enter row 6 : 1968 \| did not qualify row 7 : 1970 \| did not qualify row 8 : 1972 \| round 1 row 9 : 1974 \| withdrew row 10 : 1976 \| did not qualify row 11 : 1978 \| did not qualify row 12 : 1980 \| did not qualify row 13 : 1982 \| did not qualify row 14 : 1984 \| round 1 row 15 : 1986 \| did not qualify row 16 : 1988 \| did not qualify row 17 : 1990 \| withdrew row 18 : 1992 \| did not qualify row 19 : 1994 \| withdrew during qualifying row 20 : 1996 \| did not qualify row 21 : 1998 \| round 1 row 22 : 2000 \| round 1 row 23 : 2002 \| round 1 row 24 : 2004 \| did not qualify row 25 : 2006 \| round 1 row 26 : 2008 \| did not qualify row 27 : 2010 \| withdrew due to rebel attack row 28 : 2012 \| did not qualify row 29 : 2013 \| quarter-final ] Execute this SQL based on the above table: select count ( * ) where year > 729	29
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 2001 \| world youth championships \| debrecen, hungary \| 2nd \| 400 m \| 47.12 row 2 : 2001 \| world youth championships \| debrecen, hungary \| 1st \| medley relay \| 1:50.46 row 3 : 2001 \| european junior championships \| grosseto, italy \| 1st \| 4x400 m relay \| 3:06.12 row 4 : 2003 \| european junior championships \| tampere, finland \| 3rd \| 400 m \| 46.69 row 5 : 2003 \| european junior championships \| tampere, finland \| 2nd \| 4x400 m relay \| 3:08.62 row 6 : 2005 \| european u23 championships \| erfurt, germany \| 11th (sf) \| 400 m \| 46.62 row 7 : 2005 \| european u23 championships \| erfurt, germany \| 1st \| 4x400 m relay \| 3:04.41 row 8 : 2005 \| universiade \| izmir, turkey \| 7th \| 400 m \| 46.89 row 9 : 2005 \| universiade \| izmir, turkey \| 1st \| 4x400 m relay \| 3:02.57 row 10 : 2006 \| world indoor championships \| moscow, russia \| 2nd (h) \| 4x400 m relay \| 3:06.10 row 11 : 2006 \| european championships \| gothenburg, sweden \| 3rd \| 4x400 m relay \| 3:01.73 row 12 : 2007 \| european indoor championships \| birmingham, united kingdom \| 3rd \| 4x400 m relay \| 3:08.14 row 13 : 2007 \| universiade \| bangkok, thailand \| 7th \| 400 m \| 46.85 row 14 : 2007 \| universiade \| bangkok, thailand \| 1st \| 4x400 m relay \| 3:02.05 row 15 : 2008 \| world indoor championships \| valencia, spain \| 4th \| 4x400 m relay \| 3:08.76 row 16 : 2008 \| olympic games \| beijing, china \| 7th \| 4x400 m relay \| 3:00.32 row 17 : 2009 \| universiade \| belgrade, serbia \| 2nd \| 4x400 m relay \| 3:05.69 ] Execute this SQL based on the above table: select competition where year > ( select year where competition = 'world indoor championships' ) order by year limit 1	european indoor championships
[ header: \| \| \| row 1 : 1962 \| the trial/le proces \| hilda \| notes row 2 : 1949 \| in the good old summertime \| baby \| uncredited row 3 : 1954 \| the long, long trailer \| wedding guest \| scenes deleted row 4 : 1967 \| charlie bubbles \| eliza \| None row 5 : 1969 \| the sterile cuckoo \| 'pookie' (mary ann \| david di donatello for best foreign actress row 6 : 1970 \| tell me that you love me, juni \| junie moon \| None row 7 : 1972 \| cabaret \| sally bowles \| academy award for best actress bafta award row 8 : 1974 \| just one more time \| herself \| uncredited (short subject) row 9 : 1974 \| that's entertainment! \| herself (narrator) \| None row 10 : 1974 \| journey back to oz \| dorothy \| voice (recorded in 1963, released row 11 : 1975 \| lucky lady \| claire \| nominated - golden globe award for best row 12 : 1976 \| silent movie \| herself \| None row 13 : 1976 \| a matter of time \| nina \| None row 14 : 1977 \| new york, new york \| francine evans \| nominated - golden globe award for best row 15 : 1981 \| arthur \| linda marolla \| nominated - golden globe award for best row 16 : 1983 \| the king of comedy \| herself \| scenes deleted row 17 : 1984 \| the muppets take manhattan \| herself \| None row 18 : 1985 \| that's dancing! \| herself - host \| None row 19 : 1987 \| rent-a-cop \| della roberts \| golden raspberry award for worst actress row 20 : 1988 \| arthur 2: on the rocks \| linda marolla bach \| golden raspberry award for worst actress row 21 : 1991 \| stepping out \| mavis turner \| None row 22 : 1994 \| a century of cinema \| herself \| documentary row 23 : 1995 \| unzipped \| herself - uncredited \| documentary row 24 : 2006 \| the oh in ohio \| alyssa donahue \| None row 25 : 2010 \| broadway: beyond the golden age \| herself \| documentary row 26 : 2010 \| sex and the city 2 \| wedding minister/herself \| cameo appearance row 27 : 2011 \| lady gaga presents the monster ball tour: at \| herself \| guest appearance row 28 : 2013 \| smash \| herself \| guest appearance ] Execute this SQL based on the above table: select where != 'herself' and = ( select where = 'herself' )	herself (narrator), dorothy
[ header: composer \| title \| genre \| date \| notes row 1 : flor alpaerts \| salome \| incidental music \| None \| None row 2 : granville bantock \| dance of the seven veils \| incidental music \| 1918 \| staged london, 1918 row 3 : leonard bernstein \| salome \| incidental music \| 1955 \| chamber orchestra with 8 players and vocal soloists row 4 : peter maxwell davies \| salome \| ballet \| 1978 \| premiered copenhagen, 10 nov row 5 : pete doherty \| salome \| popular music \| 2009 \| appears on his album grace/wastelands row 6 : alexander glazunov \| introduction and dance, op. 90 \| incidental music \| 1908 \| None row 7 : henry hadley \| salome, op. 55 \| symphonic poem \| 1905 \| this was written after hadley had seen a row 8 : alexander krein \| salome, op. 19 \| symphonic poem \| 1929 \| None row 9 : constant lambert \| salome \| incidental music \| 1929 \| clarinet, cello, trumpet, row 10 : antoine mariotte \| salome \| opera \| 1905 \| premiered 1908; he was involved in row 11 : emil petrovics \| salome \| ballet \| 1978 \| flute, trumpet, harp and percussion row 12 : richard strauss \| salome, op. 54 \| opera \| 1905 \| trans. hedwig lachmann; row 13 : alexander tcherepnin \| salome \| incidental music \| None \| None ] Execute this SQL based on the above table: select composer where id = ( select id where composer = 'constant lambert' ) + 1	antoine mariotte
[ header: year \| competition \| venue \| position \| notes row 1 : 2002 \| european championships \| munich, germany \| 6th \| 7.78 m row 2 : 2003 \| world championships \| paris, france \| 9th \| 7.93 m row 3 : 2004 \| olympic games \| athens, greece \| 5th \| 8.25 m row 4 : 2006 \| european championships \| gothenburg, sweden \| 9th \| 7.74 m row 5 : 2008 \| world indoor championships \| valencia, spain \| 2nd \| 8.06 m row 6 : 2008 \| olympic games \| beijing, china \| 27th \| 7.70 m row 7 : 2009 \| world championships \| berlin, germany \| 8th \| 8.06 m row 8 : 2010 \| european championships \| barcelona, spain \| 3rd \| 8.23 m row 9 : 2011 \| european team championships \| stockholm, sweden \| 3rd \| 8.12 m row 10 : 2011 \| world championships \| daegu, south korea \| 11th \| 7.87 m row 11 : 2012 \| olympic games \| london, england \| 6th \| 8.07 m row 12 : 2013 \| european indoor championships \| gothenburg, sweden \| 7th \| 7.95 m ] Execute this SQL based on the above table: select competition order by year desc limit 1	european indoor championships
[ header: rank \| npc \| gold \| silver \| bronze \| total row 1 : 1 \| china (chn) \| 95 \| 71 \| 65 \| 231 row 2 : 2 \| russia (rus) \| 36 \| 38 \| 28 \| 102 row 3 : 3 \| great britain (gbr) \| 34 \| 43 \| 43 \| 120 row 4 : 4 \| ukraine (ukr) \| 32 \| 24 \| 28 \| 84 row 5 : 5 \| australia (aus) \| 32 \| 23 \| 30 \| 85 row 6 : 6 \| united states (usa) \| 31 \| 29 \| 38 \| 98 row 7 : 7 \| brazil (bra) \| 21 \| 14 \| 8 \| 43 row 8 : 8 \| germany (ger) \| 18 \| 26 \| 22 \| 66 row 9 : 9 \| poland (pol) \| 14 \| 13 \| 9 \| 36 row 10 : 10 \| netherlands (ned) \| 10 \| 10 \| 19 \| 39 row 11 : total (75 npcs) \| total (75 npcs) \| 503 \| 503 \| 516 \| 1522 ] Execute this SQL based on the above table: select npc where npc > ( select npc where npc = 'australia (aus)' ) and silver > 245 order by npc asc limit 1	total (75 npcs)
[ header: # \| president \| president's party \| senate with \| senate opposed \| house with \| house opposed \| years served \| elections won row 1 : 1 \| george washington \| federalist-leaning \| 8 \| 0 \| 6 \| 2 \| 8 \| 2 row 2 : 3 \| thomas jefferson \| democratic-republican \| 8 \| 0 \| 8 \| 0 \| 8 \| 2 row 3 : 4 \| james madison \| democratic-republican \| 8 \| 0 \| 8 \| 0 \| 8 \| 2 row 4 : 7 \| andrew jackson \| democratic \| 8 \| 0 \| 8 \| 0 \| 8 \| 2 row 5 : 8 \| martin van buren \| democratic \| 4 \| 0 \| 4 \| 0 \| 4 \| 1 row 6 : 10 \| john tyler \| whig/none \| 4 \| 0 \| 2 \| 2 \| 4 \| 0 row 7 : 13 \| millard fillmore \| whig \| 0 \| 3 \| 0 \| 3 \| 3 \| 0 row 8 : 15 \| james buchanan \| democratic \| 4 \| 0 \| 2 \| 2 \| 4 \| 1 row 9 : 16 \| abraham lincoln \| republican \| 4 \| 0 \| 4 \| 0 \| 4 \| 2 row 10 : 17 \| andrew johnson \| democratic \| 0 \| 4 \| 0 \| 4 \| 4 \| 0 row 11 : 18 \| ulysses grant \| republican \| 8 \| 0 \| 6 \| 2 \| 8 \| 2 row 12 : 20 \| james garfield \| republican \| 0 \| 0.5 \| 0.5 \| 0 \| 0.5 \| 1 row 13 : 21 \| chester arthur \| republican \| 4 \| 0 \| 2 \| 2 \| 4 \| 0 row 14 : 24 \| grover cleveland \| democratic \| 2 \| 2 \| 2 \| 2 \| 4 \| 1 row 15 : 25 \| william mckinley \| republican \| 4 \| 0 \| 4 \| 0 \| 4 \| 2 row 16 : 26 \| theodore roosevel \| republican \| 8 \| 0 \| 8 \| 0 \| 8 \| 1 row 17 : 27 \| william taft \| republican \| 4 \| 0 \| 2 \| 2 \| 4 \| 1 row 18 : 28 \| woodrow wilson \| democratic \| 6 \| 2 \| 6 \| 2 \| 8 \| 2 row 19 : 29 \| warren harding \| republican \| 2 \| 0 \| 2 \| 0 \| 2 \| 1 row 20 : 30 \| calvin coolidge \| republican \| 6 \| 0 \| 6 \| 0 \| 6 \| 1 row 21 : 31 \| herbert hoover \| republican \| 4 \| 0 \| 2 \| 2 \| 4 \| 1 row 22 : 34 \| dwight eisenhower \| republican \| 2 \| 6 \| 2 \| 6 \| 8 \| 2 row 23 : 36 \| lyndon johnson \| democratic \| 5 \| 0 \| 5 \| 0 \| 5 \| 1 row 24 : 38 \| gerald ford \| republican \| 0 \| 2 \| 0 \| 2 \| 2 \| 0 row 25 : 39 \| jimmy carter \| democratic \| 4 \| 0 \| 4 \| 0 \| 4 \| 1 row 26 : 41 \| george h. w. bush \| republican \| 0 \| 4 \| 0 \| 4 \| 4 \| 1 row 27 : 42 \| bill clinton \| democratic \| 2 \| 6 \| 2 \| 6 \| 8 \| 2 row 28 : 43 \| george w. bush \| republican \| 4.5 \| 3.5 \| 6 \| 2 \| 8 \| 2 row 29 : 44 \| barack obama \| democratic \| 6 \| 0 \| 2 \| 4 \| 6 \| 2 ] Execute this SQL based on the above table: select ( select count ( distinct president ) ) > 566	0
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 10 \| juan pablo montoya \| mclaren-mercedes \| 60 \| 1:24:29.588 \| 3 \| 10 row 2 : 2 \| 5 \| fernando alonso \| renault \| 60 \| 2.739 \| 1 \| 8 row 3 : 3 \| 9 \| kimi raikkonen \| mclaren-mercedes \| 60 \| 14.436 \| 12 \| 6 row 4 : 4 \| 6 \| giancarlo fisichella \| renault \| 60 \| 17.914 \| 6 \| 5 row 5 : 5 \| 3 \| jenson button \| bar-honda \| 60 \| 40.264 \| 2 \| 4 row 6 : 6 \| 1 \| michael schumacher \| ferrari \| 60 \| +1:15.322 \| 9 \| 3 row 7 : 7 \| 2 \| rubens barrichello \| ferrari \| 60 \| +1:16.567 \| 5 \| 2 row 8 : 8 \| 17 \| ralf schumacher \| toyota \| 60 \| +1:19.212 \| 8 \| 1 row 9 : 9 \| 16 \| jarno trulli \| toyota \| 60 \| +1:20.851 \| 4 \| None row 10 : 10 \| 12 \| felipe massa \| sauber-petronas \| 59 \| +1 lap \| 16 \| None row 11 : 11 \| 7 \| mark webber \| williams-bmw \| 59 \| +1 lap \| 11 \| None row 12 : 12 \| 8 \| nick heidfeld \| williams-bmw \| 59 \| +1 lap \| 14 \| None row 13 : 13 \| 14 \| david coulthard \| red bull-cosworth \| 59 \| +1 lap \| 13 \| None row 14 : 14 \| 11 \| jacques villeneuve \| sauber-petronas \| 59 \| +1 lap \| 10 \| None row 15 : 15 \| 15 \| christian klien \| red bull-cosworth \| 59 \| +1 lap \| 15 \| None row 16 : 16 \| 4 \| takuma sato \| bar-honda \| 58 \| +2 laps \| 7 \| None row 17 : 17 \| 18 \| tiago monteiro \| jordan-toyota \| 58 \| +2 laps \| 20 \| None row 18 : 18 \| 21 \| christijan albers \| minardi-cosworth \| 57 \| +3 laps \| 18 \| None row 19 : 19 \| 20 \| patrick friesacher \| minardi-cosworth \| 56 \| +4 laps \| 19 \| None row 20 : ret \| 19 \| narain karthikeyan \| jordan-toyota \| 10 \| electrical \| 17 \| None ] Execute this SQL based on the above table: select sum ( grid ) where points = 1	8
[ header: year \| location \| men's winner \| men's runner-up \| score \| women's winner \| women's runner-up \| score row 1 : 2003 \| london \| western \| mcgill \| 1-0 \| western \| mcgill \| 4-3 row 2 : 2004 \| kingston \| western \| mcgill \| 2-1 \| mcgill \| western \| 2-1 row 3 : 2005 \| montreal \| toronto \| queen's \| 2-1 \| mcgill \| queen's \| 1-0 row 4 : 2006 \| toronto \| western \| queen's \| 3-0 \| mcgill \| western \| 6-2 row 5 : 2007 \| london \| western \| mcgill \| 1-0 \| mcgill \| queen's \| 1-0 row 6 : 2008 \| toronto \| mcgill \| toronto \| 2-0 \| mcgill \| toronto \| 3-1 row 7 : 2009 \| london ontario \| western \| mcgill \| 2-1 \| mcgill \| queen's \| 3-0 row 8 : 2010 \| kingston \| mcgill \| queen's \| 2-1 \| mcgill \| toronto \| 1-0 row 9 : 2011 \| montreal \| toronto \| mcgill \| p-p \| toronto \| mcgill \| p-p row 10 : 2012 \| toronto \| toronto \| western \| 1-1 (5-4 pk) \| mcgill \| western \| 2-1 row 11 : 2013 \| london \| queen's \| western \| 1-1 (4-2 pk) \| toronto \| mcgill \| 0-0 (4-3 pk) ] Execute this SQL based on the above table: select count ( year ) where score is null	0
[ header: round \| pick \| player \| nationality \| college/junior/club team row 1 : 1 \| 3 \| rick hampton \| canada \| st. catharines black hawk row 2 : 1 \| 17 \| ron chipperfield \| canada \| brandon wheat kings (wchl row 3 : 2 \| 21 \| bruce affleck \| canada \| university of denver pioneers (wcha) row 4 : 3 \| 39 \| charlie simmer \| canada \| sault ste. marie greyhound row 5 : 4 \| 57 \| tom price \| canada \| ottawa 67's ( row 6 : 5 \| 75 \| jim warden \| united states \| michigan tech huskies (wcha row 7 : 6 \| 93 \| tom sundberg \| united states \| st. paul vulcans row 8 : 7 \| 111 \| tom anderson \| united states \| st. paul vulcans row 9 : 8 \| 128 \| jim mccabe \| canada \| welland sabres (so ] Execute this SQL based on the above table: select count ( player ) where college/junior/club team = 'st. paul vulcans (midjhl)'	2
[ 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 abs ( ( select sales where highest position = 4 ) - ( select sales where highest position = 4 ) )	0.0
[ header: no. \| name \| term of office \| term of office \| political party \| ministry row 1 : 1 \| c. d. howe \| november 2, 1936 \| july 8, 1940 \| liberal \| 16 (king) row 2 : 2 \| arthur cardin \| july 8, 1940 \| may 13, 1942 \| liberal \| 16 (king) row 3 : None \| c. d. howe (act \| may 13, 1942 \| october 6, 1942 \| liberal \| 16 (king) row 4 : 3 \| joseph-enoil michau \| october 6, 1942 \| april 18, 1945 \| liberal \| 16 (king) row 5 : 4 \| lionel chevrier \| april 18, 1945 \| july 1, 1954 \| liberal \| 17 (st. laurent) row 6 : 5 \| george carlyle marler \| july 1, 1954 \| june 21, 1957 \| liberal \| 17 (st. laurent) row 7 : 7 \| leon balcer \| october 11, 1960 \| april 22, 1963 \| progressive conservative \| 18 (diefenbaker) row 8 : 8 \| george mcilraith \| april 22, 1963 \| february 3, 1964 \| liberal \| 19 (pearson) row 9 : 9 \| jack pickersgill \| february 3, 1964 \| september 19, 1967 \| liberal \| 19 (pearson) row 10 : 10 \| paul hellyer \| september 19, 1967 \| april 20, 1968 \| liberal \| 19 (pearson) row 11 : 10 \| paul hellyer \| april 20, 1968 \| april 30, 1969 \| liberal \| 20 (trudeau) row 12 : None \| james armstrong richardson (act \| april 30, 1969 \| may 5, 1969 \| liberal \| 20 (trudeau) row 13 : 11 \| don jamieson \| may 5, 1969 \| november 27, 1972 \| liberal \| 20 (trudeau) row 14 : 12 \| jean marchand \| november 27, 1972 \| september 26, 1975 \| liberal \| 20 (trudeau) row 15 : 14 \| don mazankowski \| june 4, 1979 \| march 3, 1980 \| progressive conservative \| 21 (clark) row 16 : 15 \| jean-luc pepin \| march 3, 1980 \| august 12, 1983 \| liberal \| 22 (trudeau) row 17 : 16 \| lloyd axworthy \| august 12, 1983 \| june 29, 1984 \| liberal \| 22 (trudeau) row 18 : 16 \| lloyd axworthy \| june 30, 1984 \| september 16, 1984 \| liberal \| 23 (turner) row 19 : (14) \| don mazankowski (2nd time) \| september 17, 1984 \| june 29, 1986 \| progressive conservative \| 24 (mulroney) row 20 : 17 \| john crosbie \| june 30, 1986 \| march 30, 1988 \| progressive conservative \| 24 (mulroney) row 21 : 18 \| benoit bouchard \| march 31, 1988 \| february 22, 1990 \| progressive conservative \| 24 (mulroney) row 22 : 20 \| jean corbeil \| april 21, 1991 \| june 24, 1993 \| progressive conservative \| 24 (mulroney) row 23 : 20 \| jean corbeil \| june 25, 1993 \| november 3, 1993 \| progressive conservative \| 25 (campbell) row 24 : 21 \| doug young \| november 4, 1993 \| january 24, 1996 \| liberal \| 26 (chretien) row 25 : 22 \| david anderson \| january 25, 1996 \| june 10, 1997 \| liberal \| 26 (chretien) row 26 : 23 \| david collenette \| june 11, 1997 \| december 11, 2003 \| liberal \| 26 (chretien) row 27 : 24 \| tony valeri \| december 12, 2003 \| july 19, 2004 \| liberal \| 27 (martin) row 28 : 25 \| jean lapierre \| july 20, 2004 \| february 5, 2006 \| liberal \| 27 (martin) ] Execute this SQL based on the above table: select no. where name = 'arthur cardin'	2.0
[ header: # \| title \| tpb isbn \| tpb release date \| tpb page number \| collected material row 1 : 1 \| the name of the game \| isbn 91-33-30546-3 \| june, 2007 \| 152 \| the boys #1-6 row 2 : 2 \| get some \| isbn 1-933305-68-1 \| march, 2008 \| 192 \| the boys #7-14 row 3 : 3 \| good for the soul \| isbn 1-933305-92-4 \| october, 2008 \| 192 \| the boys #15-22 row 4 : 4 \| we gotta go now \| isbn 1-84856-298-5 \| july, 2009 \| 192 \| the boys #23-30 row 5 : 5 \| herogasm \| isbn 1-60690-082-x \| november, 2009 \| 144 \| herogasm #1-6 row 6 : 6 \| the self-preservation society \| isbn 1-60690-125-7 \| march, 2010 \| 192 \| the boys #31-38 row 7 : 7 \| the innocents \| isbn 1-60690-150-8 \| december, 2010 \| 216 \| the boys #39-47 row 8 : 8 \| highland laddie \| isbn 1-60690-207-5 \| april, 2011 \| 144 \| highland laddie #1-6 row 9 : 9 \| the big ride \| isbn 1-60690-220-2 \| november 9, 2011 \| 276 \| the boys #48-59 row 10 : 10 \| butcher, baker, candlestickmaker \| isbn 1-60690-264-4 \| march 6, 2012 \| 144 \| butcher, baker, candlestickmaker #1 row 11 : 11 \| over the hill with the sword of a thousand \| isbn 1-60690-341-1 \| june/july, 2012 \| 152 \| the boys #60-65 row 12 : 12 \| the bloody doors off \| isbn 1-60690-373- \| december, 2012 \| 170 \| the boys #66-72 ] Execute this SQL based on the above table: select # - # where tpb isbn = 'isbn 91-33-30546-3'	0.0
[ header: rank \| heat \| name \| nationality \| time \| notes row 1 : 1 \| 1 \| lacena golding-clarke \| jamaica \| 12.74 \| q, pb row 2 : 2 \| 1 \| vonette dixon \| jamaica \| 12.83 \| q, pb row 3 : 3 \| 2 \| diane allahgreen \| england \| 12.92 \| q, pb row 4 : 4 \| 2 \| brigitte foster \| jamaica \| 12.98 \| q row 5 : 5 \| 2 \| angela atede \| nigeria \| 13.01 \| q, sb row 6 : 6 \| 1 \| angela whyte \| canada \| 13.03 \| q, pb row 7 : 7 \| 1 \| julie pratt \| england \| 13.08 \| q, pb row 8 : 8 \| 2 \| jacquie munro \| australia \| 13.22 \| q row 9 : 9 \| 1 \| melanie wilkins \| england \| 13.29 \| None row 10 : 9 \| 2 \| sriyani kulawans \| sri lanka \| 13.29 \| None row 11 : 11 \| 1 \| fiona cullen \| australia \| 13.45 \| None row 12 : 12 \| 2 \| rachel king \| wales \| 13.58 \| None row 13 : 13 \| 2 \| tamsin stephens \| northern ireland \| 13.59 \| None row 14 : 14 \| 1 \| christy akinremi \| nigeria \| 13.73 \| None row 15 : None \| 2 \| shabana khattak \| pakistan \| dnf \| None row 16 : None \| 1 \| carole kaboud mebam \| cameroon \| dns \| None row 17 : None \| 1 \| olutoyin augustus \| nigeria \| dns \| None ] Execute this SQL based on the above table: select count ( notes ) where time > 0	8
[ header: year \| starts \| wins \| top 5 \| top 10 \| poles \| avg. start \| avg. finish \| winnings \| position \| team(s) row 1 : 1986 \| 2 \| 0 \| 0 \| 0 \| 0 \| 21 \| 29 \| $535 \| 110th \| #31 grissom racing enterprises row 2 : 1987 \| 2 \| 0 \| 0 \| 0 \| 0 \| 17 \| 21.5 \| $975 \| 49th \| #39 grissom racing enterprises row 3 : 1988 \| 29 \| 0 \| 1 \| 4 \| 0 \| 23.6 \| 20.4 \| $45,391 \| 13th \| #39 grissom racing enterprises row 4 : 1989 \| 29 \| 0 \| 2 \| 5 \| 0 \| 23.1 \| 18.9 \| $71,822 \| 12th \| #9/#19 falcon racing row 5 : 1990 \| 31 \| 4 \| 11 \| 15 \| 1 \| 14.8 \| 13.2 \| $166,842 \| 3rd \| #31 grissom racing enterprises row 6 : 1991 \| 31 \| 1 \| 7 \| 13 \| 1 \| 20.5 \| 15.7 \| $152,206 \| 10th \| #31 grissom racing enterprises row 7 : 1992 \| 31 \| 1 \| 2 \| 7 \| 1 \| 19.7 \| 16.7 \| $170,716 \| 12th \| #31 grissom racing enterprises row 8 : 1994 \| 11 \| 0 \| 1 \| 1 \| 0 \| 27.5 \| 26.6 \| $39,475 \| 43rd \| #31 grissom racing enterprises row 9 : 1995 \| 15 \| 2 \| 4 \| 7 \| 0 \| 23.9 \| 15.6 \| $110,105 \| 26th \| #29 diamond ridge motorsports row 10 : 1996 \| 8 \| 1 \| 3 \| 4 \| 0 \| 25.9 \| 14.1 \| $90,942 \| 45th \| #29 diamond ridge motorsports row 11 : 1997 \| 1 \| 0 \| 0 \| 0 \| 0 \| 43 \| 39 \| $4,425 \| 114th \| #5 labonte motorsports row 12 : 1998 \| 2 \| 0 \| 0 \| 0 \| 1 \| 22 \| 23 \| $16,444 \| 77th \| #12 spencer motor ventures # row 13 : 1999 \| 12 \| 0 \| 0 \| 0 \| 0 \| 35.5 \| 30.6 \| $128,750 \| 52nd \| #74 bace motorsports #12 row 14 : 2000 \| 1 \| 0 \| 0 \| 0 \| 0 \| 43 \| 37 \| $7,925 \| 109th \| #8 petty enterprises row 15 : 2001 \| 1 \| 0 \| 0 \| 0 \| 0 \| 21 \| 26 \| $27,000 \| 151st \| #45 petty enterprises row 16 : 2002 \| 7 \| 0 \| 0 \| 0 \| 0 \| 30.6 \| 30.4 \| $86,830 \| 56th \| #34 frank cicci racing row 17 : 2003 \| 6 \| 0 \| 0 \| 0 \| 0 \| 37 \| 27.8 \| $83,825 \| 67th \| #07 dlp racing #61/ row 18 : 2004 \| 26 \| 0 \| 0 \| 0 \| 0 \| 37.3 \| 28.6 \| $482,604 \| 28th \| #36 dct motorsports # row 19 : 2005 \| 31 \| 0 \| 0 \| 0 \| 0 \| 40.3 \| 32.2 \| $602,395 \| 23rd \| #49 jay robinson racing row 20 : 2006 \| 2 \| 0 \| 0 \| 0 \| 0 \| 42 \| 30.5 \| $72,136 \| 98th \| #49 jay robinson racing row 21 : 2007 \| 1 \| 0 \| 0 \| 0 \| 0 \| 43 \| 25 \| $45,800 \| 133rd \| #34 frank cicci racing ] Execute this SQL based on the above table: select poles where starts = 1	0, 0, 0, 0
[ header: year \| film \| role \| notes row 1 : 1986 \| love 86 \| vikram doshi \| None row 2 : 1987 \| khudgarz \| kumar saxena \| None row 3 : 1987 \| sindoor \| ravi \| None row 4 : 1988 \| paap ko jalaa \| deepak malhotra \| None row 5 : 1988 \| halaal ki kamai \| kabir khanna \| None row 6 : 1988 \| shiv shakti \| shakti \| None row 7 : 1989 \| sachai ki ta \| sagar singh \| None row 8 : 1989 \| taaqatwar \| john d'mello \| None row 9 : 1990 \| maha-sangram \| arjun 'munna' \| None row 10 : 1990 \| izzatdaar \| vijay \| None row 11 : 1990 \| naya khoon \| dr. anand \| None row 12 : 1990 \| taqdeer ka tama \| satya \| None row 13 : 1990 \| awaargi \| dhiren kumar \| critically acclaimed role row 14 : 1992 \| baaz \| deva \| None row 15 : 1994 \| andaz apna a \| himself \| special appearance row 16 : 1994 \| beta ho to aisa \| raju \| None row 17 : 1996 \| maahir \| bhola \| None row 18 : 1996 \| apne dam par \| himself \| special appearance row 19 : 1997 \| deewana mastana \| bunnu \| nominated - filmfare best actor row 20 : 1997 \| do ankhen barah hath \| sagar \| None row 21 : 1998 \| achanak \| arjun \| None row 22 : 1998 \| naseeb \| krishna prasa \| None row 23 : 2000 \| kunwara \| raju \| nominated -filmfare award for row 24 : 2001 \| aamdani atthani k \| bhishma \| None row 25 : 2001 \| albela \| rocky hiranandani \| None row 26 : 2001 \| censor \| himself \| special appearance row 27 : 2002 \| pyaar diwana hota \| sunder \| None row 28 : 2002 \| chalo ishq ladaa \| pappu \| None row 29 : 2003 \| three roses \| himself \| tamil film - guest appearance row 30 : 2005 \| ssukh \| chandraprakash sharma \| None row 31 : 2007 \| partner \| bhaskar diwakar chow \| iifa best comedian award zee row 32 : 2013 \| samadhi \| deputy inspector general of police \| bengali debut row 33 : 2014 \| kill dil \| negative role \| filming (releasing on 5 september 2014) row 34 : 2014 \| hero \| None \| filming, (releasing on 12th dec ] Execute this SQL based on the above table: select count ( distinct notes )	9
[ header: wrestler: \| times: \| date: \| location: \| notes: row 1 : jonnie stewart \| 1 \| june 6, 1996 \| rochester, minnesota \| defeated larry gligorovich to row 2 : king kong bundy \| 1 \| march 31, 1999 \| oshkosh, wiscons \| later stripped of the title by owner dale row 3 : the patriot (danny dominion) \| 1 \| july 29, 2000 \| pine bluff, arkansa \| defeated dale gagne in an impro row 4 : ricky enrique \| 1 \| july 29, 2000 \| pine bluff, arkansa \| None row 5 : eric priest \| 1 \| june 3, 2001 \| hillside, illinois \| None row 6 : evan karagias \| 1 \| march 22, 2002 \| casa grande, arizona \| None row 7 : horshu \| 1 \| october 12, 2002 \| mercedes, texas \| stripped of the title due to missing mandatory title defense row 8 : evan karagias \| 2 \| july 6, 2003 \| lemoore, california \| defeated eric priest to win the vac row 9 : steve corino \| 1 \| june 11, 2005 \| bay city, michigan \| None row 10 : shinjiro otani \| 1 \| january 22, 2006 \| tokyo, japan \| None row 11 : takao omori \| 2 \| april 1, 2006 \| tokyo, japan \| None row 12 : ric converse \| 1 \| june 14, 2006 \| indianapolis, indiana \| None row 13 : steve corino \| 2 \| january 7, 2007 \| pottstown, pennsyl \| on march 23, 2007, corino lost the title row 14 : takao omori \| 3 \| march 31, 2007 \| yokohama, japan \| None row 15 : masato tanaka \| 1 \| october 26, 2007 \| tokyo, japan \| None row 16 : larry zbyszko \| 1 \| february 5, 2008 \| minneapolis, minnesot \| title awarded row 17 : brian logan \| None \| april 20, 2008 \| fayetteville, west virgini \| logan defeated zbyszko row 18 : ricky landell \| 1 \| october 11, 2008 \| indianapolis, indiana \| title becomes known as the wsl world row 19 : keith walker \| 1 \| february 21, 2009 \| michigan city, indiana \| None ] Execute this SQL based on the above table: select notes: where id = ( select id where notes: = 'stripped of the title due to missing mandatory title defenses' ) + 1	defeated eric priest to win the vacated title. karagias was fired in january 2005 by dale gagne for misconduct and refusal of defending the title as scheduled
[ header: year \| location(s) \| number of contestants \| ladies winner \| men's winner row 1 : 1965 \| skane, blekinge, \| 156 \| sweden inga-britt \| sweden nils bohman row 2 : 1966 \| smaland (4), vastergot \| 672 \| sweden kerstin gran \| finland juhani salmenky row 3 : 1967 \| motala \| 1 910 \| sweden ulla lindk \| sweden kalle johan row 4 : 1968 \| boras \| 3 250 \| sweden ulla lindk \| norway age hadler row 5 : 1970 \| kristianstad \| 6 378 \| sweden ulla lindk \| sweden bernt fril row 6 : 1972 \| eksjo \| 8 253 \| sweden ulla lindk \| sweden hans aurell row 7 : 1975 \| haninge \| 9 322 \| sweden anne lundmark \| finland matti makinen row 8 : 1976 \| ransater \| 14 843 \| hungary sarolta mon \| sweden gert pettersson row 9 : 1977 \| visby \| 7 186 \| finland liisa veija \| norway sigurd dæhli row 10 : 1979 \| orebro \| 15 842 \| sweden britt-marie \| sweden lars-henrik row 11 : 1981 \| mohed \| 18 983 \| sweden annichen kring \| sweden jorgen martens row 12 : 1982 \| lulea \| 13 631 \| sweden annichen kring \| sweden lars lon row 13 : 1985 \| falun \| 25 021 \| sweden annichen kring \| sweden joakim ingel row 14 : 1986 \| boras \| 17 353 \| sweden annichen kring \| sweden anders erik row 15 : 1989 \| ostersund \| 17 818 \| sweden barbro lonn \| sweden niklas lowe row 16 : 1991 \| arboga \| 16 581 \| sweden arja hannus \| sweden hakan eriks row 17 : 1992 \| sodertalje \| 17 806 \| sweden gunilla svar \| denmark allan mogensen row 18 : 1994 \| ornskoldsvik \| 14 414 \| sweden katarina \| norway petter thoresen row 19 : 1996 \| karlstad \| 17 007 \| sweden annika zell \| sweden jorgen martens row 20 : 1997 \| umea \| 11 179 \| sweden katarina \| sweden jorgen martens row 21 : 1998 \| gavle \| 13 249 \| norway hanne staff \| sweden johan ivar row 22 : 1999 \| borlange \| 15 238 \| sweden jenny jo \| sweden fredrik lowe row 23 : 2003 \| uddevalla \| 14 998 \| united kingdom heather monro \| finland mats haldin row 24 : 2005 \| skillingaryd \| 12 657 \| sweden emma eng \| sweden emil wingsted ] Execute this SQL based on the above table: select ( select number of contestants where men's winner = 'sweden fredrik lowegren' ) - ( select number of contestants where men's winner = 'finland matti makinen' )	6.0
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 6 september 1994 \| bazaly, ostrava \| malta \| 6-1 \| 6-1 \| euro 1996 qualifying row 2 : 2 \| 8 march 1995 \| stadion za luzan \| finland \| 1-0 \| 4-1 \| friendly row 3 : 3 \| 8 march 1995 \| stadion za luzan \| finland \| 2-0 \| 4-1 \| friendly row 4 : 4 \| 29 march 1995 \| bazaly, ostrava \| belarus \| 2-0 \| 4-2 \| euro 1996 qualifying row 5 : 5 \| 29 march 1995 \| bazaly, ostrava \| belarus \| 3-1 \| 4-2 \| euro 1996 qualifying row 6 : 6 \| 26 april 1995 \| letna stadium, prague \| netherlands \| 3-1 \| 3-1 \| euro 1996 qualifying row 7 : 7 \| 7 october 1995 \| dinamo stadium, minsk \| belarus \| 2-0 \| 2-0 \| euro 1996 qualifying row 8 : 8 \| 15 november 1995 \| letna stadium, prague \| luxembourg \| 3-0 \| 3-0 \| euro 1996 qualifying row 9 : 9 \| 30 june 1996 \| wembley stadium, london \| germany \| 1-0 \| 1-2 \| euro 1996 row 10 : 10 \| 18 september 1996 \| na stinadle \| malta \| 1-0 \| 6-0 \| 1998 world cup qualification row 11 : 11 \| 18 september 1996 \| na stinadle \| malta \| 3-0 \| 6-0 \| 1998 world cup qualification row 12 : 12 \| 26 february 1997 \| zimni stadion, pod \| belarus \| 4-1 \| 4-1 \| friendly row 13 : 13 \| 14 october 1998 \| na stinadle \| estonia \| 2-0 \| 4-1 \| euro 2000 qualifying row 14 : 14 \| 14 october 1998 \| na stinadle \| estonia \| 3-0 \| 4-1 \| euro 2000 qualifying row 15 : 15 \| 27 march 1999 \| na stinadle \| lithuania \| 2-0 \| 2-0 \| euro 2000 qualifying row 16 : 16 \| 5 june 1999 \| kadrioru stadium, tall \| estonia \| 1-0 \| 2-0 \| euro 2000 qualifying row 17 : 17 \| 8 september 1999 \| na stinadle \| bosnia and herzegovin \| 2-0 \| 3-0 \| euro 2000 qualifying row 18 : 18 \| 3 june 2000 \| frankenstadion, nurember \| germany \| 2-2 \| 2-3 \| friendly ] Execute this SQL based on the above table: select abs ( ( select # where result = '6-0' ) - ( select # where result = '4-1' ) ) - 1	7.0
[ header: boat # \| name \| builder \| laid down \| launched \| completed \| fate row 1 : 4918 \| ha-208 \| sasebo naval arsenal \| 01-05-1945 \| 26-05-1945 \| 04-08-1945 \| decommissioned 30-11-1945. scut row 2 : 4920 \| ha-210 \| sasebo naval arsenal \| 14-05-1945 \| 10-06-1945 \| 11-08-1945 \| decommissioned 30-11-1945. scut row 3 : 4925 \| ha-215 \| sasebo naval arsenal \| 22-05-1945 \| 15-05-1945 \| None \| incomplete until the end of war (95%). row 4 : 4931 \| ha-221 \| mitsubishi-kobe shipyard \| 20-04-1945 \| 04-08-1945 \| None \| incomplete until the end of war (85%). row 5 : 4933 \| ha-223 \| kawasaki-kobe shipyard \| 01-05-1945 \| None \| None \| incomplete until the end of war (60%). scrap row 6 : 4938 \| ha-228 \| sasebo naval arsenal \| 21-06-1945 \| 18-07-1945 \| None \| incomplete until the end of war (75%). row 7 : 4939 \| ha-229 \| sasebo naval arsenal \| 27-06-1945 \| 27-07-1945 \| None \| incomplete until the end of war (75%). scrap row 8 : 4942 \| ha-232 \| sasebo naval arsenal \| 18-07-1945 \| None \| None \| incomplete until the end of war (40%). later row 9 : 4944 \| ha-234 \| kawasaki-kobe shipyard \| 15-05-1945 \| None \| None \| incomplete until the end of war (50%). scrap row 10 : 4945 \| ha-235 \| kawasaki-senshu shipyard \| 01-06-1945 \| None \| None \| incomplete until the end of war (10%). later row 11 : 4946 \| ha-236 \| kawasaki-kobe shipyard \| 01-06-1945 \| None \| None \| incomplete until the end of war (40%). scrap row 12 : 4958 - 4989 \| None \| None \| None \| None \| None \| constructions were not started until the end of war ] Execute this SQL based on the above table: select count ( fate ) where name = 'ha-229' and name = 490	0
[ header: hand \| 1 credit \| 2 credits \| 3 credits \| 4 credits \| 5 credits row 1 : royal flush \| 250 \| 500 \| 750 \| 1000 \| 4000 row 2 : straight flush \| 60 \| 120 \| 180 \| 240 \| 400 row 3 : four aces \| 400 \| 800 \| 1200 \| 1600 \| 2000 row 4 : four of a kind, 2-4 \| 100 \| 200 \| 300 \| 400 \| 500 row 5 : four of a kind, 5-k \| 50 \| 100 \| 150 \| 200 \| 250 row 6 : full house \| 8 \| 16 \| 24 \| 32 \| 40 row 7 : flush \| 5 \| 10 \| 15 \| 20 \| 25 row 8 : straight \| 4 \| 8 \| 12 \| 16 \| 20 row 9 : three of a kind \| 3 \| 6 \| 9 \| 12 \| 15 row 10 : two pair \| 1 \| 2 \| 3 \| 4 \| 5 row 11 : jacks or better \| 1 \| 2 \| 3 \| 4 \| 5 row 12 : theoretical return \| 98.68% \| 98.68% \| 98.68% \| 98.68% \| 99.92% ] Execute this SQL based on the above table: select count ( distinct ( hand ) ) where id < ( select id where hand = 'four of a kind, 2-4' )	3
[ header: year \| single \| chart positions usa billboard hot dance club play \| chart positions polish charts \| album row 1 : 2008 \| "fall" \| None \| 2 \| natalia lesz row 2 : 2008 \| "power of attraction" \| 24 \| 5 \| natalia lesz row 3 : 2008 \| "miss you" \| None \| None \| natalia lesz row 4 : 2009 \| "cos za cos" \| None \| 1 \| that girl row 5 : 2010 \| "arabesque" \| 53 \| None \| natalia lesz row 6 : 2010 \| "radioactive" \| None \| 107 \| None row 7 : 2010 \| "that girl" \| None \| 7 \| that girl row 8 : 2012 \| "beat of my heart" \| None \| 98 \| that girl ] Execute this SQL based on the above table: select count ( album )	7
[ header: date \| race name \| d(f) \| course \| prize (£) \| odds \| runners \| place \| margin \| winner/runner-up \| time \| jockey row 1 : july 1879 \| chesterfield stakes \| 5 \| newmarket \| 1130 \| 9/4 \| 11 \| 1 \| 1 \| petal \| 0:59 \| charles wood row 2 : 29 july 1879 \| richmond stakes \| 6 \| goodwood \| 1762 \| None \| 8 \| 1 \| None \| None \| None \| None row 3 : august 1879 \| prince of wales stakes \| 5 \| york \| 340 \| 1/2 \| 9 \| 1 \| 0.5 \| brother to ersilia \| None \| fred archer row 4 : 1879 \| triennial produce stakes \| 10 \| newmarket \| 881 \| None \| 11 \| 1 \| None \| None \| None \| None row 5 : 1879 \| rous memorial stakes \| 5 \| newmarket \| 567 \| None \| 10 \| 1 \| None \| None \| None \| None row 6 : 26 may 1880 \| epsom derby \| 12 \| epsom downs \| 6375 \| 2/1 \| 19 \| 1 \| head \| robert the devil \| 2:48 \| fred archer row 7 : june 1880 \| st. james's palace \| 8 \| ascot \| 1550 \| 30/100 \| 5 \| 1 \| head \| fernandez \| None \| g fordham row 8 : 15 september 1880 \| st leger \| 14.5 \| doncaster \| 6100 \| 4/5 \| 12 \| 6 \| None \| robert the devil \| 3:32 \| None row 9 : 28 september 1880 \| great foal stakes \| 10 \| newmarket \| 2697 \| 9/2 \| 7 \| 2 \| head \| robert the devil \| 2:25 \| tom cannon row 10 : 14 october 1880 \| champion stakes \| 10 \| newmarket \| 2071 \| 5/4 \| 4 \| 2 \| 10 \| robert the devil \| 2:10 \| g fordham row 11 : 27 april 1881 \| city and suburban handicap \| 10 \| epsom downs \| 1230 \| 100/8 \| 24 \| 1 \| 1.5 \| foxhall \| 2:07 \| fred archer row 12 : 3 june 1881 \| epsom gold cup \| 12 \| epsom downs \| 500 \| None \| 2 \| 1 \| None \| robert the devil \| None \| None row 13 : 13 october 1881 \| champion stakes \| 10 \| newmarket \| 2087 \| 4/6 \| 8 \| 1 \| 0.75 \| scobell \| 2:23.6 \| fred archer row 14 : 25 october 1881 \| cambridgeshire stakes \| 9 \| newmarket \| 2017 \| 9/2 \| 32 \| 7 \| None \| foxhall \| 2:15.4 \| fred archer ] Execute this SQL based on the above table: select winner/runner-up group by winner/runner-up order by count ( odds ) desc limit 1	robert the devil
[ header: round \| pick \| player \| position \| nationality \| team \| college row 1 : t \| None \| wilt chamberlain \| c \| united states \| philadelphia warriors \| kansas row 2 : t \| None \| bob ferry \| f/c \| united states \| st. louis hawks \| saint louis row 3 : 1 \| 1 \| bob boozer \| f \| united states \| cincinnati royals \| kansas state row 4 : 1 \| 2 \| bailey howell \| f \| united states \| detroit pistons \| mississippi state row 5 : 1 \| 3 \| tom hawkins \| f \| united states \| minneapolis lakers \| notre dame row 6 : 1 \| 5 \| johnny green \| f/c \| united states \| new york knicks \| michigan state row 7 : 1 \| 6 \| john richter \| f \| united states \| boston celtics \| nc state row 8 : 2 \| 7 \| tom robitaille \| f/c \| united states \| detroit pistons (from cincin \| rice row 9 : 2 \| 8 \| don goldstein \| f \| united states \| detroit pistons \| louisville row 10 : 2 \| 9 \| joe ruklick \| f/c \| united states \| philadelphia warriors \| northwestern row 11 : 2 \| 10 \| rudy larusso \| f/c \| united states \| minneapolis lakers \| dartmouth row 12 : 2 \| 11 \| bumper tormohlen \| f/c \| united states \| syracuse nationals \| tennessee row 13 : 2 \| 12 \| al seiden \| g \| united states \| st. louis hawks ( \| st. john's row 14 : 2 \| 13 \| cal ramsey \| f \| united states \| st. louis hawks \| nyu row 15 : 2 \| 14 \| gene guarilia \| f \| united states \| boston celtics \| george washington row 16 : 3 \| 16 \| gary alcorn \| c \| united states \| detroit pistons \| fresno state row 17 : 3 \| 17 \| jim hockaday \| f \| united states \| philadelphia warriors \| memphis row 18 : 3 \| 18 \| bobby smith \| g \| united states \| minneapolis lakers \| west virginia row 19 : 3 \| 19 \| jon cincebox \| f \| united states \| syracuse nationals \| syracuse row 20 : 3 \| 20 \| bob anderegg \| g/f \| united states \| new york knicks \| michigan state row 21 : 3 \| 21 \| hank stein \| g \| united states \| st. louis hawks \| xavier row 22 : 3 \| 22 \| ralph crosthwaite \| c \| united states \| boston celtics \| western kentucky row 23 : 4 \| 23 \| leo byrd \| g \| united states \| cincinnati royals \| marshall row 24 : 4 \| 24 \| george lee \| g/f \| united states \| detroit pistons \| michigan row 25 : 4 \| 25 \| ron stevenson \| f \| united states \| philadelphia warriors \| tcu row 26 : 4 \| 26 \| wilson eison \| f \| united states \| minneapolis lakers \| purdue row 27 : 4 \| 27 \| paul neumann \| g \| united states \| syracuse nationals \| stanford row 28 : 4 \| 28 \| johnny cox \| g \| united states \| new york knicks \| kentucky row 29 : 5 \| 31 \| harry kirchner \| g/f \| united states \| detroit pistons \| tcu ] Execute this SQL based on the above table: select player where player != 'johnny green' and position = ( select position where player = 'johnny green' )	bob ferry, tom robitaille, joe ruklick, rudy larusso, bumper tormohlen
[ header: name \| position \| birth date/age at start of campaign \| games in campaign \| club row 1 : erich burgener \| gk \| february 15, 1951 (age 31) \| 3 \| servette row 2 : roger berbig \| gk \| november 6, 1954 (age 27) \| 3 \| grasshoppers row 3 : charly in-albon \| df \| june 23, 1957 (age 25) \| 4 \| grasshoppers row 4 : heinz ludi \| df \| october 8, 1958 (age 23 \| 4 \| fc zurich row 5 : beat rietmann \| df \| october 24, 1961 (age 20 \| 2 \| fc st. gallen row 6 : andy egli \| df \| may 8, 1958 (age 24) \| 6 \| grasshoppers row 7 : alain geiger \| df \| november 5, 1960 (age 21) \| 4 \| servette row 8 : marco schallibaum \| df \| april 6, 1962 (age 20) \| 1 \| grasshoppers row 9 : marcel koller \| df \| november 11, 1960 (age 21) \| 2 (both as sub) \| grasshoppers row 10 : rene botteron \| mf \| october 17, 1954 (age 27 \| 1 \| 1. fc nuremberg fc row 11 : heinz hermann \| mf \| march 28, 1958 (age 24) \| 6 \| grasshoppers row 12 : roger wehrli \| mf \| march 18, 1956 (age 26) \| 6 \| grasshoppers row 13 : lucien favre \| mf \| november 2, 1957 (age 24) \| 5 (1 as sub) \| toulouse servette row 14 : alfred scheiwiler \| mf \| february 4, 1956 (age 26) \| 1 \| lausanne row 15 : erni maissen \| mf \| january 1, 1958 (age 24) \| 1 (as sub) \| fc zurich fc basel row 16 : michel decastel \| mf \| october 22, 1955 (age 26 \| 3 \| servette row 17 : ruedi elsener \| mf \| february 18, 1953 (age 29) \| 4 \| None row 18 : umberto barberis \| mf \| june 5, 1952 (age 30) \| 3 (1 as sub) \| as monaco servette row 19 : andre ladner \| mf \| may 20, 1962 (age 20) \| 1 \| grasshoppers row 20 : jean-paul brigger \| st \| december 14, 1957 (age 24) \| 2 (1 as sub) \| servette row 21 : hans-peter zwicker \| st \| april 7, 1960 (age 22) \| 2 (both as sub) \| fc zurich lausanne row 22 : claudio sulser \| st \| october 8, 1955 (age 26 \| 5 \| grasshoppers row 23 : beat sutter \| st \| december 12, 1962 (age 19) \| 2 (1 as sub) \| fc basel row 24 : raimondo ponte \| st \| april 4, 1955 (age 27) \| 4 \| grasshoppers row 25 : manfred braschler \| st \| october 8, 1958 (age 23 \| 2 \| fc st. gallen ] Execute this SQL based on the above table: select club group by club order by count ( * ) desc limit 1	grasshoppers
[ header: number \| serial no \| entered service \| withdrawn \| kilometres travelled row 1 : 4101 \| 1000 \| 1 dec 1953 \| 6 jun 1973 \| 463,514 row 2 : 4102 \| 1002 \| 30 oct 1953 \| 30 jun 1975 \| 492,650 row 3 : 4103 \| 1003 \| 18 jan 1954 \| 2 apr 1974 \| 462,871 row 4 : 4104 \| 1004 \| 13 jan 1954 \| 12 oct 1973 \| 440,810 row 5 : 4105 \| 1005 \| 8 feb 1954 \| None \| None row 6 : 4106 \| 1006 \| 21 jan 1954 \| 4 aug 1972 \| 406,288 row 7 : 4107 \| 1007 \| 25 jan 1954 \| 11 aug 1973 \| 446,167 row 8 : 4108 \| 1008 \| 22 feb 1954 \| 20 dec 1967 \| 402,026 row 9 : 4109 \| 1009 \| 11 mar 1954 \| 9 feb 1972 \| 426,074 row 10 : 4110 \| 1010 \| 10 feb 1955 \| 20 may 1974 \| 476,489 ] Execute this SQL based on the above table: select entered service where entered service = '18 jan 1954'	18 jan 1954
[ header: operators \| named trains \| destination \| year begun \| year discontinued row 1 : baltimore and ohio \| capitol limited \| chicago, illinois via \| 1923 \| 1958 row 2 : baltimore and ohio \| metropolitan special \| st. louis, missouri \| ca. 1920 \| 1958 row 3 : baltimore and ohio \| national limited \| st. louis, missouri \| 1925 \| 1958 row 4 : baltimore and ohio \| royal blue \| washington, d.c \| 1890 \| 1958 row 5 : central railroad of new jersey \| blue comet \| atlantic city, new jersey \| 1929 \| 1941 row 6 : reading railroad with the central railroad of new jersey \| crusader \| philadelphia, pennsy \| 1937 \| 1967 row 7 : reading railroad with the central railroad of new jersey \| harrisburg special \| harrisburg, pennsyl \| None \| None row 8 : reading railroad with the central railroad of new jersey \| queen of the valley \| harrisburg, pennsyl \| None \| 1967 row 9 : reading railroad with the central railroad of new jersey \| wall street \| philadelphia, pennsy \| None \| None row 10 : reading railroad with the central railroad of new jersey \| williamsporter \| williamsport, pennsyl \| None \| None ] Execute this SQL based on the above table: select count ( operators ) where destination = 'harrisburg, pennsylvania'	2
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1990 \| central american and caribbean games \| mexico city, mexico \| 1st \| 3000 m s'chase \| None row 2 : 1991 \| pan american games \| havana city, cuba \| 6th \| 3000 m s'chase \| None row 3 : 1992 \| olympic games \| barcelona, spain \| 6th \| 10,000 m \| None row 4 : 1993 \| world championships \| stuttgart, germany \| 9th \| 10,000 m \| None row 5 : 1994 \| world half marathon championships \| oslo, norway \| 2nd \| half marathon \| 1:00:28 pb row 6 : 1994 \| new york city marathon \| new york city, united states \| 1st \| marathon \| None row 7 : 1994 \| london marathon \| london, england \| 3rd \| marathon \| None row 8 : 1995 \| world championships \| gothenburg, sweden \| 13th \| 10,000 m \| None row 9 : 1995 \| new york city marathon \| new york city, united states \| 1st \| marathon \| None row 10 : 1996 \| olympic games \| atlanta, united states \| 6th \| marathon \| None row 11 : 1997 \| new york city marathon \| new york city, united states \| 5th \| marathon \| None row 12 : 1997 \| boston marathon \| boston, united states \| 4th \| marathon \| None ] Execute this SQL based on the above table: select count ( * ) where venue = 'new york city, united states'	3
[ header: team \| winners \| runners-up \| years won \| years lost row 1 : bayern munich \| 5 \| 4 \| 1982, 1987, 1990, 2010, 2012 \| 1989, 1994, 2008, 2013 row 2 : borussia dortmund \| 5 \| 2 \| 1989, 1995, 1996, 2008, 2013 \| 2011, 2012 row 3 : werder bremen \| 4 \| 1 \| 1988, 1993, 1994, 2009 \| 1991 row 4 : kaiserslautern \| 1 \| 2 \| 1991 \| 1990, 1996 row 5 : schalke 04 \| 1 \| 2 \| 2011 \| 1940, 2010 row 6 : borussia monchengladbach \| 1 \| 1 \| 1977 \| 1995 row 7 : stuttgart \| 1 \| 0 \| 1992 \| None row 8 : dresdner sc \| 1 \| 0 \| 1940 \| None row 9 : hamburg \| 0 \| 3 \| None \| 1977, 1982, 1987 row 10 : eintracht frankfurt \| 0 \| 1 \| None \| 1988 row 11 : hannover 96 \| 0 \| 1 \| None \| 1992 row 12 : bayer leverkusen \| 0 \| 1 \| None \| 1993 row 13 : wolfsburg \| 0 \| 1 \| None \| 2009 ] Execute this SQL based on the above table: select years lost where id = ( select id where years lost = 1992 ) - 1	1988
[ header: rank \| title \| studio \| actors \| gross row 1 : 1 \| star wars \| lucasfilm/20th century fox \| mark hamill, harrison ford \| $460,998,007 row 2 : 2 \| smokey and the bandit \| universal/rastar \| burt reynolds, \| $300,000,000 row 3 : 3 \| close encounters of the third kind \| columbia \| richard dreyfuss, \| $166,000,000 row 4 : 7 \| oh, god! \| warner bros \| george burns, john denver \| $51,061,196 row 5 : 8 \| a bridge too far \| united artists \| dirk bogarde, james ca \| $50,800,000 row 6 : 10 \| the spy who loved me \| united artists \| roger moore, barbara \| $46,838,673 row 7 : 11 \| annie hall \| united artists \| woody allen and diane keat \| $38,251,425 row 8 : 12 \| semi-tough \| united artists \| burt reynolds, \| $37,187,139 row 9 : 13 \| pete's dragon \| disney \| helen reddy, mickey \| $36,000,000 row 10 : 15 \| the turning point \| 20th century fox \| shirley maclaine, anne \| $33,600,000 row 11 : 16 \| heroes \| universal \| henry winkler, sally \| $33,500,000 row 12 : 17 \| high anxiety \| 20th century fox \| mel brooks, madeline ka \| $31,063,038 row 13 : 18 \| exorcist ii: the here \| warner bros \| linda blair, richard \| $30,749,142 row 14 : 19 \| airport '77 \| universal \| jack lemmon, lee grant and \| $30,000,000 row 15 : 21 \| slap shot \| universal \| paul newman and strother martin \| $28,000,000 row 16 : 22 \| the other side of midnight \| 20th century fox \| marie-france pisier, \| $24,652,021 row 17 : 23 \| looking for mr. goodbar \| paramount \| diane keaton, t \| $22,512,655 row 18 : 24 \| for the love of benji \| mulberry square \| benjean, patsy garret \| $22,257,624 ] Execute this SQL based on the above table: select max ( rank )	8
[ header: rebounds \| off \| def \| player \| team \| date \| opponent \| score \| minutes played \| points \| assists \| steals \| blocks \| 20-20 \| led the league in rebounding \| notes row 1 : 37 \| 19 \| 18 \| moses malone \| houston rockets \| february 9, 1979 \| new orleans jazz \| 106-99 \| 44 \| 33 \| 2 \| None \| None \| yes \| yes \| 14 rebounds in the first quarter row 2 : 35 \| 16 \| 19 \| charles oakley \| chicago bulls \| april 22, 1988 \| cleveland cavaliers \| 103-107 \| 41 \| 26 \| 3 \| 1 \| 0 \| yes \| no \| second to last game of season, in a row 3 : 34 \| 5 \| 29 \| kareem abdul-ja \| los angeles lakers \| december 14, 1975 \| detroit pistons \| 110-100 \| 42 \| 27 \| 6 \| None \| None \| yes \| yes \| nba single-game record for defensive row 4 : 34 \| 18 \| 16 \| dennis rodman \| detroit pistons \| march 4, 1992 \| indiana pacers \| 110-107 \| 45 \| 10 \| 3 \| 2 \| 0 \| no \| yes \| overtime. 21 rebounds in the second half, row 5 : 32 \| 4 \| 28 \| elvin hayes \| capital bullets \| november 17, 1973 \| atlanta hawks \| 115-109 \| 48 \| 43 \| 0 \| None \| None \| yes \| yes \| on hayes's 28th birthday row 6 : 32 \| 7 \| 25 \| robert parish \| golden state warriors \| march 30, 1979 \| new york knicks \| 114-98 \| 36 \| 30 \| 5 \| 1 \| 2 \| yes \| no \| 11 rebounds in the first quarter. 15 row 7 : 32 \| 7 \| 25 \| swen nater (2) \| san diego clippers \| december 14, 1979 \| denver nuggets \| 112-108 \| 44 \| 12 \| 3 \| None \| None \| no \| yes \| 21 rebounds in the second half. 18 defensive row 8 : 32 \| 9 \| 23 \| dennis rodman (3) \| san antonio spurs \| january 22, 1994 \| dallas mavericks \| 103-83 \| 43 \| 8 \| 5 \| 1 \| 1 \| no \| yes \| 13 defensive rebounds in the first half row 9 : 31 \| 14 \| 17 \| larry smith \| golden state warriors \| march 28, 1981 \| denver nuggets \| 139-142 \| 45 \| 23 \| 5 \| None \| 0 \| yes \| no \| rookie. last warriors home game of season row 10 : 31 \| 8 \| 23 \| dikembe mutombo \| denver nuggets \| march 26, 1996 \| charlotte hornets \| 112-119 \| 51 \| 16 \| 0 \| 1 \| 6 \| no \| no \| double overtime row 11 : 30 \| 10 \| 20 \| george t. johnson \| golden state warriors \| march 15, 1974 \| los angeles lakers \| 112-107 \| 48 \| 14 \| 7 \| None \| 1 \| no \| no \| elmore smith of the lakers row 12 : 30 \| 6 \| 24 \| wes unseld \| washington bullets \| april 6, 1975 \| new orleans jazz \| 119-103 \| 46 \| 11 \| 5 \| None \| None \| no \| yes \| last game of season; won season rebounding title row 13 : 30 \| 7 \| 23 \| kareem abdul-ja \| los angeles lakers \| february 3, 1978 \| new jersey nets \| 105-99 \| 48 \| 37 \| 5 \| None \| None \| yes \| no \| overtime ] Execute this SQL based on the above table: select score order by off desc limit 1	106-99
[ header: year \| category \| nominee(s) \| episode \| result row 1 : 1983 \| outstanding individual achievement in graphic design and title sequences \| james castle, bruce bry \| "show down: part 1" \| won row 2 : 1983 \| outstanding achievement in music and lyrics \| gary portnoy, judy \| "give me a ring sometime" \| nominated row 3 : 1983 \| outstanding art direction for a series \| george gaines, richard \| "give me a ring sometime" \| nominated row 4 : 1983 \| outstanding film editing for a series \| andrew chulack \| "endless slumper" \| nominated row 5 : 1984 \| outstanding live and tape sound mixing and sound effects for \| sam black, douglas gray, \| "no help wanted" \| nominated row 6 : 1986 \| outstanding editing for a series (multi-cam \| andy ackerman \| "birth, death, love and rice" \| nominated row 7 : 1986 \| outstanding editing for a series (multi-cam \| douglas hines \| "the triangle" \| nominated row 8 : 1987 \| outstanding sound mixing for a comedy series or \| michael ballin, bob do \| "the proposal" \| won row 9 : 1987 \| outstanding editing for a series (multi-cam \| andy ackerman \| "cheers: the motion picture" \| nominated row 10 : 1988 \| outstanding editing for a series (multi-cam \| andy ackerman \| "the big kiss-off" \| won row 11 : 1988 \| outstanding sound mixing for a comedy series or \| bob douglas, doug grey \| "the last angry mailman" \| nominated row 12 : 1989 \| outstanding sound mixing for a comedy series or \| sam black, robert \| "jumping jerks" \| nominated row 13 : 1990 \| outstanding sound mixing for a comedy series or \| sam black, robert \| "the stork brings a crane" \| won row 14 : 1991 \| outstanding editing for a miniseries or \| andy ackerman \| "cheers 200th anniversary special" \| nominated row 15 : 1991 \| outstanding editing for a series (multi-cam \| andy ackerman \| "the days of wine and neuroses" \| nominated row 16 : 1991 \| outstanding editing for a series (multi-cam \| sheila amos \| "rat girl" \| nominated row 17 : 1992 \| outstanding individual achievement in editing for a series ( \| robert bramwell, peter \| "an old fashioned wedding" \| nominated row 18 : 1992 \| outstanding individual achievement in sound mixing for a comedy \| sam black, robert \| "bar wars iv: this time \| nominated row 19 : 1993 \| outstanding individual achievement in editing for a series ( \| robert bramwell \| "one for the road" \| won ] Execute this SQL based on the above table: select episode where episode = '"show down: part 1"' order by category asc limit 597	"show down: part 1"
[ header: pos \| rider \| manufacturer \| laps \| time/retired \| grid \| points row 1 : 1 \| manuel poggiali \| gilera \| 25 \| 41:18.211 \| 1 \| 25 row 2 : 2 \| dani pedrosa \| honda \| 25 \| 0.019 \| 4 \| 20 row 3 : 3 \| steve jenkner \| aprilia \| 25 \| 9.888 \| 3 \| 16 row 4 : 4 \| lucio cecchinello \| aprilia \| 25 \| 15.397 \| 5 \| 13 row 5 : 5 \| simone sanna \| aprilia \| 25 \| 15.452 \| 8 \| 11 row 6 : 6 \| joan olive \| honda \| 25 \| 15.486 \| 20 \| 10 row 7 : 7 \| stefano bianco \| aprilia \| 25 \| 15.549 \| 11 \| 9 row 8 : 8 \| pablo nieto \| aprilia \| 25 \| 16.218 \| 2 \| 8 row 9 : 9 \| mika kallio \| honda \| 25 \| 22.762 \| 10 \| 7 row 10 : 10 \| mirko giansanti \| honda \| 25 \| 22.839 \| 16 \| 6 row 11 : 11 \| arnaud vincent \| aprilia \| 25 \| 23.067 \| 23 \| 5 row 12 : 12 \| andrea ballerini \| honda \| 25 \| 23.134 \| 18 \| 4 row 13 : 13 \| stefano perugini \| italjet \| 25 \| 43.345 \| 17 \| 3 row 14 : 14 \| jorge lorenzo \| derbi \| 25 \| 43.973 \| 7 \| 2 row 15 : 15 \| masao azuma \| honda \| 25 \| 47.189 \| 13 \| 1 row 16 : 16 \| jakub smrz \| honda \| 25 \| 47.333 \| 24 \| None row 17 : 17 \| gianluigi scalvini \| aprilia \| 25 \| 52 \| 22 \| None row 18 : 18 \| hector barbera \| aprilia \| 25 \| +1:11.358 \| 27 \| None row 19 : 19 \| mattia angeloni \| gilera \| 25 \| +1:11.488 \| 29 \| None row 20 : 20 \| alex baldolini \| aprilia \| 25 \| +1:21.603 \| 32 \| None row 21 : 21 \| jaroslav hules \| aprilia \| 25 \| +1:21.681 \| 15 \| None row 22 : 22 \| julian simon \| honda \| 25 \| +1:31.723 \| 26 \| None row 23 : 23 \| imre toth \| honda \| 25 \| +1:31.794 \| 31 \| None row 24 : 24 \| leon camier \| italjet \| 24 \| +1 lap \| 33 \| None row 25 : ret \| chaz davies \| aprilia \| 18 \| retirement \| 21 \| None row 26 : ret \| michel fabrizio \| gilera \| 14 \| accident \| 19 \| None row 27 : ret \| youichi ui \| derbi \| 13 \| accident \| 6 \| None row 28 : ret \| alex de angelis \| aprilia \| 13 \| accident \| 12 \| None row 29 : ret \| angel rodriguez \| aprilia \| 4 \| retirement \| 25 \| None row 30 : ret \| gino borsoi \| aprilia \| 0 \| accident \| 9 \| None row 31 : ret \| andrea dovizioso \| honda \| 0 \| accident \| 14 \| None row 32 : ret \| alessandro brannetti \| honda \| 0 \| accident \| 30 \| None row 33 : ret \| alvaro bautista \| aprilia \| 0 \| accident \| 28 \| None row 34 : dnq \| javier machado \| honda \| None \| None \| None \| None ] Execute this SQL based on the above table: select rider where pos <= 11 order by time/retired asc limit 1	mirko giansanti
[ header: year \| winner \| score \| county \| opponent \| score \| county row 1 : 2013-14 \| mount leinster rangers \| 0-11 \| carlow \| oulart-the-ballagh \| 0-08 \| wexford row 2 : 2010-11 \| o'loughlin gaels \| 0-14 \| kilkenny \| oulart-the-ballagh \| 1-08 \| wexford row 3 : 2009-10 \| ballyhale shamrocks \| 1-16 \| kilkenny \| tullamore \| 1-08 \| offaly row 4 : 2007-08 \| birr \| 1-11 \| offaly \| ballyboden st endas \| 0-13 \| dublin row 5 : 2006-07 \| ballyhale shamrocks \| 1-20 \| kilkenny \| birr \| 1-08 \| offaly row 6 : 2005-06 \| james stephens \| 2-13 \| kilkenny \| ucd \| 1-12 \| dublin row 7 : 2004-05 \| james stephens \| 1-13 \| kilkenny \| ucd \| 1-12 \| dublin row 8 : 2003-04 \| o'loughlin gaels \| 0-15 \| kilkenny \| birr \| 0-09 \| offaly row 9 : 2002-03 \| birr \| 2-05 \| offaly \| gowran \| 1-02 \| kilkenny row 10 : 2001-02 \| birr \| 0-10; 2-10 \| offaly \| castletown \| 1-07; 0-05 \| laois row 11 : 2000-01 \| graigue-ballycallan \| 0-14 \| kilkenny \| ucd \| 1-08 \| dublin row 12 : 1999-00 \| birr \| 1-16 \| offaly \| castletown \| 0-11 \| laois row 13 : 1998-99 \| rathnure \| 1-13 \| wexford \| portlaoise \| 1-06 \| laois row 14 : 1997-98 \| birr \| 0-11 \| offaly \| castletown \| 0-05 \| laois row 15 : 1995-96 \| glenmore \| 2-13 \| kilkenny \| oulart-the-ballagh \| 2-10 \| wexford row 16 : 1994-95 \| birr \| 3-07 \| offaly \| oulart-the-ballagh \| 2-05 \| wexford row 17 : 1992-93 \| buffer's alley \| 2-13 \| wexford \| st. rynagh's \| 0-13 \| offaly row 18 : 1991-92 \| birr \| 2-14 \| offaly \| ballyhale shamrocks \| 0-03 \| kilkenny row 19 : 1990-91 \| glenmore \| 0-15 \| kilkenny \| camross \| 1-09 \| laois row 20 : 1987-88 \| rathnure \| 3-08 \| wexford \| portlaoise \| 1-13 \| laois row 21 : 1986-87 \| rathnure \| 2-16 \| wexford \| camross \| 3-09 \| laois row 22 : 1980-81 \| ballyhale shamrocks \| 3-10 \| kilkenny \| coolderry \| 1-08 \| offaly row 23 : 1979-80 \| crumlin \| 3-05 \| dublin \| camross \| 0-11 \| laois row 24 : 1978-79 \| ballyhale shamrocks \| 1-13 \| kilkenny \| crumlin \| 1-06 \| dublin row 25 : 1977-78 \| rathnure \| 0-16 \| wexford \| the fenians \| 1-10 \| kilkenny row 26 : 1976-77 \| camross \| 3-09 \| laois \| james stephens \| 1-14 \| kilkenny row 27 : 1973-74 \| rathnure \| 1-18 \| wexford \| st. rynagh's \| 2-09 \| offaly ] Execute this SQL based on the above table: select count ( winner )	27
[ header: week \| date \| opponent \| result \| game site \| attendance row 1 : 1 \| september 11, 1960 \| at new york titans \| l 27-3 \| polo grounds \| 10,200 row 2 : 2 \| september 18, 1960 \| denver broncos \| l 27-21 \| war memorial stadium \| 15,229 row 3 : 3 \| september 23, 1960 \| at boston patriots \| w 13-0 \| nickerson field \| 20,732 row 4 : 4 \| october 2, 1960 \| los angeles chargers \| l 24-10 \| war memorial stadium \| 15,821 row 5 : 6 \| october 16, 1960 \| new york titans \| l 17-13 \| war memorial stadium \| 14,988 row 6 : 7 \| october 23, 1960 \| oakland raiders \| w 38-9 \| war memorial stadium \| 8,876 row 7 : 8 \| october 30, 1960 \| houston oilers \| w 25-24 \| war memorial stadium \| 23,001 row 8 : 9 \| november 6, 1960 \| dallas texans \| l 45-28 \| war memorial stadium \| 19,610 row 9 : 10 \| november 13, 1960 \| at oakland raiders \| l 20-7 \| kezar stadium \| 8,800 row 10 : 11 \| november 20, 1960 \| at los angeles chargers \| w 32-3 \| los angeles memorial coliseum \| 16,161 row 11 : 12 \| november 27, 1960 \| at denver broncos \| t 38-38 \| bears stadium \| 7,785 row 12 : 13 \| december 4, 1960 \| boston patriots \| w 38-14 \| war memorial stadium \| 14,335 row 13 : 14 \| december 11, 1960 \| at houston oilers \| l 31-23 \| jeppesen stadium \| 25,243 row 14 : 15 \| december 18, 1960 \| at dallas texans \| l 24-7 \| cotton bowl \| 18,000 ] Execute this SQL based on the above table: select week where opponent = 'at dallas texans'	15.0
[ header: # \| president \| president's party \| senate with \| senate opposed \| house with \| house opposed \| years served \| elections won row 1 : 1 \| george washington \| federalist-leaning \| 8 \| 0 \| 6 \| 2 \| 8 \| 2 row 2 : 3 \| thomas jefferson \| democratic-republican \| 8 \| 0 \| 8 \| 0 \| 8 \| 2 row 3 : 4 \| james madison \| democratic-republican \| 8 \| 0 \| 8 \| 0 \| 8 \| 2 row 4 : 7 \| andrew jackson \| democratic \| 8 \| 0 \| 8 \| 0 \| 8 \| 2 row 5 : 8 \| martin van buren \| democratic \| 4 \| 0 \| 4 \| 0 \| 4 \| 1 row 6 : 10 \| john tyler \| whig/none \| 4 \| 0 \| 2 \| 2 \| 4 \| 0 row 7 : 13 \| millard fillmore \| whig \| 0 \| 3 \| 0 \| 3 \| 3 \| 0 row 8 : 15 \| james buchanan \| democratic \| 4 \| 0 \| 2 \| 2 \| 4 \| 1 row 9 : 16 \| abraham lincoln \| republican \| 4 \| 0 \| 4 \| 0 \| 4 \| 2 row 10 : 17 \| andrew johnson \| democratic \| 0 \| 4 \| 0 \| 4 \| 4 \| 0 row 11 : 18 \| ulysses grant \| republican \| 8 \| 0 \| 6 \| 2 \| 8 \| 2 row 12 : 20 \| james garfield \| republican \| 0 \| 0.5 \| 0.5 \| 0 \| 0.5 \| 1 row 13 : 21 \| chester arthur \| republican \| 4 \| 0 \| 2 \| 2 \| 4 \| 0 row 14 : 24 \| grover cleveland \| democratic \| 2 \| 2 \| 2 \| 2 \| 4 \| 1 row 15 : 25 \| william mckinley \| republican \| 4 \| 0 \| 4 \| 0 \| 4 \| 2 row 16 : 26 \| theodore roosevel \| republican \| 8 \| 0 \| 8 \| 0 \| 8 \| 1 row 17 : 27 \| william taft \| republican \| 4 \| 0 \| 2 \| 2 \| 4 \| 1 row 18 : 28 \| woodrow wilson \| democratic \| 6 \| 2 \| 6 \| 2 \| 8 \| 2 row 19 : 29 \| warren harding \| republican \| 2 \| 0 \| 2 \| 0 \| 2 \| 1 row 20 : 30 \| calvin coolidge \| republican \| 6 \| 0 \| 6 \| 0 \| 6 \| 1 row 21 : 31 \| herbert hoover \| republican \| 4 \| 0 \| 2 \| 2 \| 4 \| 1 row 22 : 34 \| dwight eisenhower \| republican \| 2 \| 6 \| 2 \| 6 \| 8 \| 2 row 23 : 36 \| lyndon johnson \| democratic \| 5 \| 0 \| 5 \| 0 \| 5 \| 1 row 24 : 38 \| gerald ford \| republican \| 0 \| 2 \| 0 \| 2 \| 2 \| 0 row 25 : 39 \| jimmy carter \| democratic \| 4 \| 0 \| 4 \| 0 \| 4 \| 1 row 26 : 41 \| george h. w. bush \| republican \| 0 \| 4 \| 0 \| 4 \| 4 \| 1 row 27 : 42 \| bill clinton \| democratic \| 2 \| 6 \| 2 \| 6 \| 8 \| 2 row 28 : 43 \| george w. bush \| republican \| 4.5 \| 3.5 \| 6 \| 2 \| 8 \| 2 row 29 : 44 \| barack obama \| democratic \| 6 \| 0 \| 2 \| 4 \| 6 \| 2 ] Execute this SQL based on the above table: select ( select president where president = 'theodore roosevelt' ) - 1467	-1467
[ header: genre \| date \| japanese title (original title) \| english title \| scoring \| notes row 1 : orchestral \| 1988 \| トゥリー・ライン \| tree line \| for chamber orchestra \| early title: 並木 (namiki?) row 2 : concertante \| 1971 \| カシオヘア \| cassiopeia \| for percussion solo and orchestra \| None row 3 : concertante \| 1981 \| 海へ ii 夜白鯨 \| toward the sea ii the night moby \| for alto flute, harp and string \| None row 4 : concertante \| 1995 \| スヘクトラル・カンティクル \| spectral canticle \| for violin, guitar and orchestra \| None row 5 : chamber music \| 1965 \| ソナント \| sonant \| for 2 flutes, violin, cello, \| revised as valeria in 1969 row 6 : chamber music \| 1982 \| クロス・ハッチ \| cross hatch \| for marimba and vibraphone (or 2 \| None row 7 : chamber music \| 1987 \| オール・イン・トワイライト - キターのための四つの小品 - \| all in twilight, 4 pieces \| for guitar \| written for julian bream row 8 : keyboard \| 1948 \| かけひ \| kakehi (conduit) \| for piano \| None row 9 : keyboard \| 1949 \| 二つの小品 \| 2 pieces \| for piano \| None row 10 : keyboard \| 1950 \| 二つのレント \| lento in due movimenti \| for piano \| revised as litany in 1989 row 11 : choral \| 1963 \| 三重県伊賀市上野西小学校校歌 \| kamino nishi elementary school song \| None \| school song; words by keiji hash row 12 : choral \| 1982 \| 芝生 \| grass \| for male chorus \| words by shuntaro ta row 13 : vocal \| 1955 \| 小さな部屋て \| in a small room (chiisana \| for voice and piano \| words by akira kawaji row 14 : vocal \| 1963 \| 雲に向かって起つ \| take off for the clouds (kumo \| None \| song for a television drama; words by row 15 : vocal \| 1985 \| 明日ハ晴レカナ、曇リカナ \| will tomorrow, i wonder, be cloudy \| for voice and piano \| words by the composer row 16 : stage \| 1956 \| タンタロスの踊り \| tantalos no odori \| None \| incidental music for the play by ri row 17 : stage \| 1961 \| おまえの敵はおまえた \| omae no teki wa \| None \| incidental music for the play by jun is row 18 : electronic music \| 1970 \| None \| years of ear - what is music? \| for tape \| None row 19 : commercial music \| 1982 \| サントリーリサーフ \| suntory reserve \| None \| None row 20 : film scores \| 1955 \| 北斎 \| hokusai \| None \| not produced row 21 : film scores \| 1962 \| 切腹 \| harakiri \| None \| directed by masaki kobayashi row 22 : film scores \| 1964 \| 乾いた花 \| pale flower \| None \| directed by masahiro shinod row 23 : film scores \| 1965 \| 美しさと哀しみと \| with beauty and sadness \| None \| directed by masahiro shinod row 24 : film scores \| 1965 \| 四谷怪談 \| yotsuya ghost story \| None \| directed by shiro toyod row 25 : film scores \| 1966 \| 他人の顔 \| the face of another \| None \| directed by hiroshi teshiga ] Execute this SQL based on the above table: select english title where japanese title (original title) = '切腹' group by english title order by count ( * ) desc limit 1	harakiri