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symbolic-instruction-tuning-sql

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Split (1)

train · 200k rows

inputs stringlengths 291 3.71k	targets stringlengths 1 2.65k
[ header: games \| host city \| dates \| nations \| participants \| events row 1 : 1904 summer olympics \| st. louis, missouri \| 1 july - 23 november \| 12 \| 651 \| 91 row 2 : 1932 winter olympics \| lake placid, new york \| 7 - 15 february \| 17 \| 252 \| 14 row 3 : 1932 summer olympics \| los angeles, californi \| 30 july - 14 august \| 37 \| 1332 \| 117 row 4 : 1960 winter olympics \| squaw valley, californ \| 2 - 20 february \| 30 \| 665 \| 27 row 5 : 1980 winter olympics \| lake placid, new york \| 13 - 24 february \| 37 \| 1072 \| 38 row 6 : 1984 summer olympics \| los angeles, californi \| 20 july - 18 august \| 140 \| 6829 \| 221 row 7 : 1996 summer olympics \| atlanta, georgia \| 18 july - 4 august \| 197 \| 1318 \| 271 row 8 : 2002 winter olympics \| salt lake city, utah \| 8 - 24 february \| 77 \| 2399 \| 78 ] Execute this SQL based on the above table: select games where nations = 140	1984 summer olympics
[ header: party \| candidate \| votes \| % \| ∆% row 1 : conservative \| joe daniel \| 14422 \| 36.78 \| 5.78 row 2 : liberal \| yasmin ratansi \| 13552 \| 34.56 \| -13.51 row 3 : new democratic \| mary trapani hynes \| 9878 \| 25.19 \| 11.87 row 4 : green \| akil sadikali \| 1114 \| 2.84 \| -4.05 row 5 : christian heritage \| ryan kidd \| 246 \| 0.63 \| -0.07 row 6 : total valid votes \| total valid votes \| 39212 \| 100 \| None row 7 : total rejected ballots \| total rejected ballots \| 218 \| 0.55 \| None row 8 : turnout \| turnout \| 39430 \| 57.24 \| None row 9 : eligible voters \| eligible voters \| 68890 \| None \| None ] Execute this SQL based on the above table: select sum ( % )	257.79
[ header: character \| м \| м \| м \| м row 1 : unicode name \| cyrillic capital letter e \| cyrillic capital letter e \| cyrillic small letter e \| cyrillic small letter e row 2 : encodings \| decimal \| hex \| decimal \| hex row 3 : unicode \| 1052 \| u+041c \| 1084 \| u+043c row 4 : utf-8 \| 208 156 \| d0 9c \| 208 188 \| d0 bc row 5 : numeric character reference \| М \| М \| м \| м row 6 : koi8-r and k \| 237 \| ed \| 205 \| cd row 7 : code page 855 \| 211 \| d3 \| 210 \| d2 row 8 : code page 866 \| 140 \| 8c \| 172 \| ac row 9 : windows-1251 \| 204 \| cc \| 236 \| ec row 10 : iso-8859-5 \| 188 \| bc \| 220 \| dc row 11 : macintosh cyril \| 140 \| 8c \| 236 \| ec ] Execute this SQL based on the above table: select character where м = 0 and м = 0	utf-8
[ header: year \| title \| role \| notes row 1 : 2014 \| and so it goes \| producer \| starring michael douglas and row 2 : 2011 \| flypaper \| producer \| starring patrick dempsey and row 3 : 2007 \| captivity \| producer \| None row 4 : 2006 \| o jerusalem \| producer \| None row 5 : 2005 \| the upside of anger \| executive producer \| starring kevin costner and jo row 6 : 2004 \| beyond the sea \| executive producer \| starring kevin spacey row 7 : 2004 \| the i inside \| producer \| None row 8 : 2003 \| monster \| producer \| starring charlize theron academy row 9 : 2003 \| 11:14 \| executive producer \| None row 10 : 2002 \| extreme ops \| executive producer \| None row 11 : 2001 \| the musketeer \| executive producer \| None row 12 : 2001 \| the body \| executive producer \| None row 13 : 1997 \| the blackout \| executive producer \| None row 14 : 1996 \| the winner \| executive producer \| None row 15 : 1993 \| stalingrad \| executive producer \| None row 16 : 1991 \| diary of a hitman \| executive producer \| None row 17 : 1990 \| vietnam, texas \| executive producer \| None row 18 : 1989 \| wild orchid \| producer \| starring mickey rourke row 19 : 1988 \| high spirits \| executive producer \| None row 20 : 1988 \| mac and me \| executive producer \| None row 21 : 1986 \| flight of the navigator \| executive producer \| None row 22 : 1986 \| short circuit \| executive producer \| None row 23 : 1986 \| 9 1/2 weeks \| producer \| starring mickey rourke and row 24 : 1984 \| metropolis \| sales agent \| directed by fritz lang row 25 : 1984 \| the neverending story \| executive producer \| directed by wolfgang petersen row 26 : 1977 \| the choirboys \| executive producer \| None row 27 : 1974 \| there is no 13 \| george thomas \| None row 28 : 1973 \| "hannah, queen of the vampires" \| peter \| None row 29 : 1973 \| the devil's wedding night \| karl schiller \| None row 30 : 1973 \| little mother \| riano \| None row 31 : 1972 \| byleth - il demone de \| duke lionello shandwell \| None row 32 : 1972 \| i leoni di pietroburgo \| eldar \| None row 33 : 1972 \| confessioni segrete di un convento di \| domenico \| None row 34 : 1972 \| they call him veritas \| veritas \| None row 35 : 1971 \| l'arciere di fuoco \| allen \| None row 36 : 1971 \| pistol packin' preacher \| slim \| None row 37 : 1968 \| dead men don't count \| johnny dalton \| None row 38 : 1967 \| requiescant \| george ferguson \| also starring pier paolo pas row 39 : 1966 \| johnny oro \| johnny oro/ringo \| directed by sergio corbucci row 40 : 1964 \| son of cleopatra \| el kebir \| None row 41 : 1964 \| i cento cavalieri \| don fernando herrera y \| None row 42 : 1963 \| the tyrant of castile \| pietro i: re di castigl \| None row 43 : 1963 \| the young racers \| stephen children \| directed by roger corman row 44 : 1962 \| the reluctant saint \| aldo \| directed by edward dmytry row 45 : 1962 \| the longest day \| pvt. harris \| also starring richard burton and se row 46 : 1962 \| beauty and the beast \| eduardo \| None ] Execute this SQL based on the above table: select count ( role ) where year < 13	0
[ header: election \| name of the party/alliance \| number of votes \| percentage \| seats in the parliament row 1 : 2010 \| partidul popular crestin democrat (ppcd \| 9046 \| 0.53% \| None row 2 : 29 july 2009 \| partidul popular crestin democrat (ppcd \| 30173 \| 1.91% \| None row 3 : 5 april 2009 \| partidul popular crestin democrat (ppcd \| 46549 \| 3.03% \| None row 4 : 6 march 2005 \| partidul popular crestin democrat (ppcd \| 141341 \| 9.07% \| 11 row 5 : 25 february 2001 \| partidul popular crestin democrat (ppcd \| 130810 \| 8.24% \| 11 row 6 : 22 march 1998 \| blocul electoral "conventia democrat \| 315206 \| 19.42% \| 26 row 7 : 27 february 1994 \| blocul electoral "alianta frontului popular \| 133606 \| 7.53% \| 9 ] Execute this SQL based on the above table: select seats in the parliament where election = '22 march 1998' order by seats in the parliament asc limit 1241	26
[ header: year \| award \| category \| title \| result row 1 : 1955 \| academy award \| best actor \| marty \| won row 2 : 1955 \| bafta award \| best foreign actor \| marty \| won row 3 : 1955 \| golden globe award \| best actor - motion picture drama \| marty \| won row 4 : 1955 \| nbr award \| best actor \| marty \| won row 5 : 1955 \| nyfcc award \| best actor \| marty \| won row 6 : 1962 \| emmy award \| outstanding continued performance by an actor in a series \| mchale's navy \| nominated row 7 : 1979 \| emmy award \| outstanding supporting actor in a limited series or \| all quiet on the western front \| nominated row 8 : 1999 \| daytime emmy award \| outstanding performer in an animated program \| all dogs go to heaven: the series \| nominated row 9 : 2007 \| golden globe award \| best performance by an actor in a mini- \| a grandpa for christmas \| nominated row 10 : 2009 \| emmy award \| outstanding guest actor - drama \| er \| nominated row 11 : 2009 \| lifetime achievement award \| from the rhode island international film \| None \| won row 12 : 2011 \| screen actors guild life achievement award \| from the screen actors guild \| None \| won ] Execute this SQL based on the above table: select count ( * ) where year <= 1962 and year = 1955	5
[ header: pos. \| city \| population (ab) \| surface (km2) \| density (ab/km2) \| altitude (mslm) row 1 : 1st \| bergamo \| 121.316 \| 39.6 \| 3064 \| 249 row 2 : 2nd \| treviglio \| 29.334 \| 31.54 \| 930 \| 125 row 3 : 3rd \| seriate \| 25.036 \| 12.41 \| 2017 \| 247 row 4 : 4th \| dalmine \| 23.237 \| 11.6 \| 2003 \| 207 row 5 : 5th \| romano di lombardia \| 19.472 \| 18.03 \| 1080 \| 120 row 6 : 6th \| albino \| 18.232 \| 31.32 \| 582 \| 342 row 7 : 7th \| caravaggio \| 16.258 \| 32.81 \| 496 \| 111 row 8 : 8th \| alzano lombardo \| 13.821 \| 13.43 \| 1029 \| 304 row 9 : 9th \| stezzano \| 12.999 \| 9.25 \| 1405 \| 211 row 10 : 10th \| osio sotto \| 12.083 \| 7.45 \| 1622 \| 182 ] Execute this SQL based on the above table: select city group by city order by count ( * ) desc limit 1	treviglio
[ header: year \| title \| role \| notes row 1 : 1987 \| frog \| kathy \| television movie row 2 : 1988 \| platinum blonde \| None \| short film row 3 : 1992 \| saved by the bell: hawaii \| jessie spano \| television movie row 4 : 1994 \| molly & gina \| kimberly sweeny \| None row 5 : 1994 \| bandit: bandit goes country \| beth \| television movie row 6 : 1994 \| saved by the bell: wedding in las \| jessie spano \| television movie row 7 : 1995 \| white wolves ii: legend of the \| crystal \| None row 8 : 1995 \| showgirls \| nomi malone \| golden raspberry award for worst actress golden raspberry award for row 9 : 1996 \| the first wives club \| phoebe lavelle \| national board of review award for best cast row 10 : 1997 \| a time to revenge \| tiffany whittmar \| scenes deleted row 11 : 1997 \| armitage iii \| naomi armitage ( \| video row 12 : 1997 \| the real blonde \| tina \| None row 13 : 1998 \| random encounter \| alicia 'allie' bray \| None row 14 : 1999 \| taxman \| nadia rubakov \| None row 15 : 1999 \| africa \| barbara craig \| None row 16 : 1999 \| last call \| helena \| None row 17 : 1999 \| tail lights fade \| eve \| None row 18 : 1999 \| any given sunday \| mandy murphy \| None row 19 : 2000 \| becoming dick \| maggie \| television movie row 20 : 2001 \| the curse of the jade scorpion \| jill \| None row 21 : 2001 \| the elevator \| celeste \| television movie row 22 : 2001 \| the shipment \| candy colucci \| None row 23 : 2002 \| cover story \| samantha noble \| None row 24 : 2002 \| roger dodger \| andrea \| None row 25 : 2003 \| detonator \| jane dreyer \| None row 26 : 2003 \| moving malcolm \| liz woodward \| None row 27 : 2003 \| control factor \| karen bishop \| television movie row 28 : 2003 \| student seduction \| christie dawson \| television movie row 29 : 2008 \| meet market \| linda \| None row 30 : 2008 \| the butler's in love \| angelique \| short film row 31 : 2008 \| black widow \| olivia whitfield / grace \| television movie row 32 : 2009 \| women in trouble \| tracy \| None row 33 : 2009 \| s. darko \| trudy \| None row 34 : 2011 \| lucky christmas \| holly ceroni \| television movie ] Execute this SQL based on the above table: select count ( distinct title )	34
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1975 \| asian championships \| seoul, south korea \| 1st \| 5,000m \| 14:00.8 row 2 : 1979 \| asian championships \| tokyo, japan \| 2nd \| 10,000m \| 29:00.2 row 3 : 1981 \| asian championships \| tokyo, japan \| 1st \| 10,000m \| 28:53.3 row 4 : 1981 \| fukuoka marathon \| fukuoka, japan \| 2nd \| marathon \| 2:09:37 row 5 : 1982 \| fukuoka marathon \| fukuoka, japan \| 4th \| marathon \| 2:11:45 row 6 : 1983 \| world championships \| helsinki, finland \| 28th \| 10,000m \| 29:49.0 ] Execute this SQL based on the above table: select count ( year ) where notes = '14:00.8'	0
[ header: number \| name \| year built \| boat builder \| current status row 1 : 1 \| hilbre \| 1958 \| williams & nixon \| wksc-regularly row 2 : 4 \| hioco \| 1959 \| enterprise boat company, rock ferry \| wksc-regularly row 3 : 6 \| hie \| 1959 \| williams & nixon \| wksc-regularly row 4 : 9 \| hiawatha \| 1960 \| williams & nixon \| wksc-regularly row 5 : 13 \| no boat \| None \| None \| None row 6 : 15 \| hieros \| 1961 \| turner & son, donegal \| understood to be in a garden in chester row 7 : 16 \| high & dry \| 1961 \| turner & son, donegal \| went down in the persian gulf after row 8 : 17 \| hilsa \| 1961 \| enterprise boat company, rock ferry \| wksc-regularly row 9 : 19 \| hilarity \| 1960 \| williams & nixon \| wksc-regularly row 10 : 20 \| hilda \| 1960 \| enterprise boat company, rock ferry \| wksc-regularly row 11 : 22 \| hijack \| 1961 \| turner & son, donegal \| set on fire and destroyed in nevin, row 12 : 24 \| hibiscus \| 1961 \| enterprise boat company, rock ferry \| sunk when it disappeared from its moor row 13 : 27 \| hicotee \| 1961 \| enterprise boat company, rock ferry \| wksc-regularly row 14 : 33 \| hiwmor \| 1961 \| crossfield successors, arnside \| south east england row 15 : 35 \| hilo \| 1961 \| enterprise boat company, rock ferry \| wrecked when escaped moorings row 16 : 37 \| hinden \| 1961 \| crossfield successors, arnside \| destroyed when put in a skip in liverpool row 17 : 39 \| hickory \| 1961 \| crossfield successors, arnside \| burnt on bonfire night row 18 : 41 \| highcrest \| 1961 \| crossfield successors, arnside \| wrecked when came off its mooring row 19 : 44 \| hibrena \| 1961 \| crossfield successors, arnside \| cut up and burnt in 2002 and parts salvage row 20 : 49 \| higgler \| 1961 \| crossfield successors, arnside \| last heard of in polperro row 21 : 50 \| heulwen \| 1962 \| wirral boat co., rock ferry \| porthmadog row 22 : 54 \| hinon \| 1964 \| crossfield successors, arnside \| lying in a garden in buckley, in row 23 : 55 \| hiriver \| 1964 \| anglesey boat co., beaumaris \| sunk in the river mersey row 24 : 56 \| hipparchus \| 1966 \| anglesey boat co., beaumaris \| liverpool maritime museum ] Execute this SQL based on the above table: select current status where current status = 'cut up and burnt in 2002 and parts salvaged for use by the association' order by year built desc limit 1	cut up and burnt in 2002 and parts salvaged for use by the association
[ 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 score where score = '3-0'	3-0
[ 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 competition where position = '3rd' and competition < ( select competition where competition = 'asian games' )	asian championships, asian championships
[ header: pollutant \| units \| emission standard \| coal-fired \| petroleum coke-fired row 1 : so2 \| lb/mmbtu \| ≤ 0.15 \| 0.0-0.04 \| 0.03-0.13 row 2 : nox \| lb/mmbtu \| ≤ 0.09 \| 0.04-0.06 \| 0.02 row 3 : solid particulate \| lb/mmbtu \| ≤ 0.011 \| 0.004 \| 0.007 row 4 : pm10 \| lb/mmbtu \| ≤ 0.011 \| 0.006 \| 0.004 row 5 : so3 \| lb/hour \| ≤ 1.1 \| 0.43 \| 0 row 6 : fluoride \| lb/mmbtu \| ≤ 1.57×10-4 \| 1.06×10-4 \| 0.95×10-4 row 7 : lead \| lb/mmbtu \| ≤ 2.6×10-5 \| 0.56×10-5 \| 0.59×10-5 row 8 : mercury \| lb/mmbtu \| ≤ 1.05×10-5 \| 0.095×10-5 \| 0.028×10-5 ] Execute this SQL based on the above table: select pollutant group by pollutant order by count ( * ) desc limit 1	solid particulate
[ header: rank \| title \| studio \| actor/actress \| director \| gross row 1 : 1 \| three men and a baby \| touchstone \| tom selleck, ted danson, \| leonard nimoy \| $167,780,960 row 2 : 2 \| fatal attraction \| paramount \| michael douglas, gle \| adrian lyne \| $156,645,693 row 3 : 3 \| beverly hills cop ii \| paramount \| eddie murphy, judge reinhold \| tony scott \| $153,665,036 row 4 : 4 \| good morning, vietnam \| touchstone \| robin williams and forest \| barry levinson \| $123,922,370 row 5 : 5 \| moonstruck \| mgm \| cher, nicolas cage, \| norman jewison \| $80,640,528 row 6 : 7 \| the secret of my success \| universal \| michael j. fox, \| herbert ross \| $66,995,000 row 7 : 8 \| stakeout \| touchstone \| richard dreyfuss, \| john badham \| $65,673,233 row 8 : 9 \| lethal weapon \| warner bros \| mel gibson, danny glover, \| richard donner \| $65,207,127 row 9 : 10 \| dirty dancing \| vestron \| patrick swayze, jenn \| emile ardolino \| $63,892,689 row 10 : 12 \| predator \| fox \| arnold schwarzenegger, car \| john mctiernan \| $59,735,548 row 11 : 13 \| throw momma from the train \| orion \| danny devito, billy crystal, \| danny devito \| $57,915,972 row 12 : 14 \| dragnet \| universal \| dan aykroyd, to \| tom mankiewicz \| $57,387,516 row 13 : 15 \| robocop \| orion \| peter weller, nancy allen, \| paul verhoeven \| $53,424,681 row 14 : 16 \| outrageous fortune \| touchstone \| bette midler and shelley long \| arthur hiller \| $52,864,741 row 15 : 17 \| la bamba \| columbia \| lou diamond phillips, es \| luis valdez \| $52,678,820 row 16 : 18 \| broadcast news \| fox \| william hurt, holly hunter \| james l. brooks \| $51,300,000 row 17 : 19 \| the living daylights \| united artists \| timothy dalton and mary \| john glen \| $51,185,000 row 18 : 20 \| eddie murphy raw \| paramount \| eddie murphy \| robert townsend \| $50,505,655 ] Execute this SQL based on the above table: select count ( * ) where director = 7	0
[ 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 surname = 'andreas'	1
[ 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 % of popular vote where % of popular vote = '15.5%'	15.5%
[ header: location \| town \| output (mw ac) \| modules \| number of arrays row 1 : h. lee dennison building \| hauppauge \| 1.75 \| 7737 \| 24 row 2 : north county complex \| hauppauge \| 0.5 \| 3431 \| 9 row 3 : cohalan court complex \| central islip \| 3.5 \| 15113 \| 27 row 4 : riverhead county center \| riverside \| 3 \| 11536 \| 31 row 5 : brentwood lirr parking lot \| brentwood \| 1 \| 3924 \| 11 row 6 : deer park lirr parking lot \| deer park \| 2.25 \| 3924 \| 39 row 7 : ronkonkoma lir \| ronkonkoma \| 5 \| 20110 \| 44 ] Execute this SQL based on the above table: select location order by id desc limit 1	ronkonkoma lirr parking lot (south)
[ header: call sign \| frequency \| city of license \| licensee \| format row 1 : kmsa \| 91.3 fm \| grand junction \| colorado mesa university \| aaa row 2 : kmgj \| 93.1 fm \| grand junction \| mbc grand broadcasting, inc \| top 40 (chr)/contempor row 3 : kkvt \| 100.7 fm \| grand junction \| mbc grand broadcasting, inc \| country row 4 : klfv \| 90.3 fm \| grand junction \| educational media foundation \| christian contemporary row 5 : kmoz-fm \| 92.3 fm \| grand junction \| mbc grand broadcasting, inc \| adult hits row 6 : kgjn-lp \| 106.7 fm \| grand junction \| colorado, state of, telecom \| news talk information row 7 : kjol \| 620 am \| grand junction \| united ministries \| christian contemporary row 8 : kcic \| 88.5 fm \| grand junction \| pear park baptist schools \| religious row 9 : kbkl \| 107.9 fm \| grand junction \| townsquare media group \| oldies row 10 : kafm \| 88.1 fm \| grand junction \| grand valley public radio co, inc \| variety row 11 : kexo \| 1230 am \| grand junction \| townsquare media group \| regional mexican/talk row 12 : knzz \| 1100 am \| grand junction \| mbc grand broadcasting, inc \| news/talk row 13 : kmxy \| 104.3 fm \| grand junction \| townsquare media group \| hot adult contemporary row 14 : kprn \| 89.5 fm \| grand junction \| public broadcasting of colorado, in \| public/news/talk row 15 : ktmm \| 1340 am \| grand junction \| mbc grand broadcasting, inc \| sports/talk row 16 : kaai \| 98.5 fm \| palisade, colorado \| educational media foundation \| christian rock row 17 : kmzk (fm) \| 106.9 fm \| clifton \| charles d. hall \| None row 18 : kekb \| 99.9 fm \| fruita \| townsquare media group \| country row 19 : krzx \| 106.1 fm \| redlands \| cochise media licenses llc \| None row 20 : kzks \| 105.3 fm \| rifle, colorado \| western slope communications \| classic hits row 21 : knoz \| 97.7 fm \| orchard mesa \| paul varecha \| all-news radio row 22 : ktun \| 93.5 fm \| new castle, colorado \| wildcat communications \| spanish hits row 23 : kknn \| 95.1 fm \| delta, colorado \| townsquare media group \| active rock row 24 : kstr-fm \| 96.1 fm \| montrose, colorado \| mbc grand broadcasting \| classic rock row 25 : kubc \| 580 am \| montrose, colorado \| cherry creek radio \| news/talk ] Execute this SQL based on the above table: select call sign where city of license = 'grand junction' and format = 'variety'	kafm
[ header: no \| date \| race \| track \| winner \| reports row 1 : 1 \| 02-09-2008 \| daytona arca 200 \| daytona \| michael annett \| report row 2 : 2 \| 04-13-2008 \| kentuckiana ford dealers 200 \| salem speedway \| justin allgaier \| report row 3 : 3 \| 04-19-2008 \| prairie meadows 250 \| iowa speedway \| matt hawkins \| report row 4 : 4 \| 04-25-2008 \| kansas lottery $150 grand \| kansas speedway \| scott speed \| report row 5 : 5 \| 05-04-2008 \| carolina 500 \| rockingham \| joey logano \| report row 6 : 6 \| 05-10-2008 \| drive smart! 150 \| kentucky \| ricky stenhouse, jr \| report row 7 : 7 \| 05-18-2008 \| hantz group 200 \| toledo \| matt carter \| report row 8 : 8 \| 06-07-2008 \| pocono 200 \| pocono \| ricky stenhouse, jr \| report row 9 : 9 \| 06-14-2008 \| racing for wildlife 200 \| michigan \| justin lofton \| report row 10 : 10 \| 06-29-2008 \| cayuga arca re/max \| cayuga \| justin allgaier \| report row 11 : 11 \| 07-18-2008 \| kentucky 150 \| kentucky \| scott speed \| report row 12 : 12 \| 07-26-2008 \| berlin arca 200 \| berlin \| scott speed \| report row 13 : 13 \| 08-02-2008 \| pennsylvania 200 \| pocono \| justin allgaier \| report row 14 : 14 \| 08-09-2008 \| toyota arca 150 \| nashville ss \| scott speed \| report row 15 : 15 \| 08-17-2008 \| allen crowe 100 \| springfield \| frank kimmel \| report row 16 : 16 \| 09-01-2008 \| southern illinois 100 \| duquoin \| frank kimmel \| report row 17 : 17 \| 09-06-2008 \| chicagoland arca 200 \| chicagoland \| scott lagasse jr \| report row 18 : 18 \| 09-13-2008 \| eddie gilstrap motors \| salem \| frank kimmel \| report row 19 : 19 \| 09-28-2008 \| loud energy drink 150 \| njmp \| justin allgaier \| report row 20 : 20 \| 10-03-2008 \| food world 250 \| talladega \| justin allgaier \| report row 21 : 21 \| 10-12-2008 \| toledo arca 200 \| toledo \| justin allgaier \| report ] Execute this SQL based on the above table: select ( select race - track where winner = 'matt carter' ) > ( select race - track where winner = 'justin allgaier' )	0
[ header: rank \| lane \| name \| nationality \| time \| notes row 1 : None \| 5 \| ryan lochte \| united states \| 1:53.94 \| wr row 2 : None \| 4 \| aaron peirsol \| united states \| 1:54.33 \| None row 3 : None \| 8 \| arkady vyatchan \| russia \| 1:54.93 \| eu row 4 : 4 \| 3 \| markus rogan \| austria \| 1:55.49 \| nr row 5 : 5 \| 6 \| ryosuke irie \| japan \| 1:55.72 \| None row 6 : 6 \| 1 \| hayden stoeckel \| australia \| 1:56.39 \| oc row 7 : 7 \| 2 \| razvan florea \| romania \| 1:56.52 \| None row 8 : 8 \| 7 \| gregor tait \| great britain \| 1:57.00 \| None ] Execute this SQL based on the above table: select count ( notes ) where name != 'aaron peirsol'	4
[ header: name of place \| number of counties \| principal county \| zip code lower \| zip code upper row 1 : dacono \| 1 \| weld county \| 80514 \| None row 2 : dailey \| 1 \| logan county \| 80728 \| None row 3 : dalerose \| 1 \| las animas county \| 81049 \| None row 4 : dallas \| 1 \| ouray county \| None \| None row 5 : darlow \| 1 \| adams county \| None \| None row 6 : de beque \| 1 \| mesa county \| 81630 \| None row 7 : deepcreek \| 1 \| routt county \| 80428 \| None row 8 : deermont \| 1 \| jefferson county \| None \| None row 9 : deer park \| 1 \| routt county \| 80467 \| None row 10 : deer trail \| 1 \| arapahoe county \| 80105 \| None row 11 : delagua \| 1 \| las animas county \| None \| None row 12 : dell \| 1 \| eagle county \| None \| None row 13 : del norte \| 1 \| rio grande county \| 81132 \| None row 14 : delta \| 1 \| delta county \| 81416 \| None row 15 : denver \| 1 \| denver county \| 80201 \| 95 row 16 : denver international airport \| 1 \| denver county \| 80249 \| None row 17 : denver merchandise mart \| 1 \| adams county \| 80216 \| None row 18 : derby \| 1 \| adams county \| 80022 \| None row 19 : derby \| 1 \| adams county \| 80022 \| None row 20 : derby junction \| 1 \| eagle county \| None \| None row 21 : derrick \| 1 \| rio grande county \| None \| None row 22 : dick \| 1 \| weld county \| None \| None row 23 : dinosaur national monument \| 1 \| moffat county \| 81610 \| None row 24 : dinsmore \| 1 \| pueblo county \| None \| None row 25 : divide \| 1 \| teller county \| 80814 \| None row 26 : dixon \| 1 \| larimer county \| None \| None row 27 : dominguez \| 1 \| delta county \| None \| None row 28 : dorey lakes \| 1 \| gilpin county \| 80401 \| None row 29 : dos \| 1 \| garfield county \| None \| None row 30 : dotsero \| 1 \| eagle county \| None \| None row 31 : downtown \| 1 \| arapahoe county \| 80110 \| None row 32 : doyleville \| 1 \| gunnison county \| 81230 \| None row 33 : drakes \| 1 \| larimer county \| None \| None row 34 : drop city \| 1 \| las animas county \| None \| None row 35 : duban \| 1 \| denver county \| None \| None row 36 : dudley \| 1 \| park county \| None \| None row 37 : duffield \| 1 \| el paso county \| None \| None row 38 : dunul \| 1 \| rio grande county \| None \| None row 39 : dupont \| 1 \| adams county \| 80024 \| None row 40 : durango \| 1 \| la plata county \| 81301 \| None row 41 : durham \| 1 \| mesa county \| None \| None row 42 : dyersville \| 1 \| summit county \| None \| None row 43 : dyke \| 1 \| archuleta county \| None \| None ] Execute this SQL based on the above table: select name of place order by number of counties desc limit 1	dacono
[ header: year \| single \| us cashbox \| us hot 100 \| uk singles row 1 : 1969 \| "rock & roll holiday" \| None \| None \| None row 2 : 1970 \| "be-bop confidential" \| None \| None \| None row 3 : 1971 \| "roadrunner" \| None \| None \| None row 4 : 1971 \| "that's fine" \| None \| None \| None row 5 : 1972 \| "the red back spider" \| 85 \| 96 \| None row 6 : 1973 \| "let your yeah be yeah" \| 60 \| 57 \| 52 row 7 : 1973 \| "smokin' in the boys room \| 2 \| 3 \| 27 row 8 : 1974 \| "i'm the leader of the gang \| 26 \| 48 \| None row 9 : 1974 \| "kings of the party" \| 31 \| 31 \| None row 10 : 1974 \| "i got it bad for you" \| None \| None \| None row 11 : 1977 \| "lady (put the light on me \| 44 \| 46 \| None row 12 : 1977 \| "the martian boogie" \| 45 \| 59 \| None row 13 : 1979 \| "love stealer" \| None \| None \| None ] Execute this SQL based on the above table: select single where single = '"roadrunner"' order by year asc limit 1	"roadrunner"
[ header: year \| venue \| winners \| runner-up \| 3rd place row 1 : 2005 \| pardubice \| poland (41 pts) \| sweden (35 pts \| denmark (24 pts) row 2 : 2006 \| rybnik \| poland (41 pts) \| sweden (27 pts \| denmark (26 pts) row 3 : 2007 \| abensberg \| poland (40 pts) \| great britain (36 pt \| czech republic (30 pts row 4 : 2008 \| holsted \| poland (40 pts) \| denmark (39 pts) \| sweden (38 pts row 5 : 2009 \| gorzow wlkp \| poland (57 pts) \| denmark (45 pts) \| sweden (32 pts row 6 : 2010 \| rye house \| denmark (51 pts) \| sweden (37 pts \| poland (35 pts) row 7 : 2011 \| balakovo \| russia (61 pts) \| denmark (31 pts) \| ukraine (29+3 p row 8 : 2012 \| gniezno \| poland (61 pts) \| australia (44 pts) \| sweden (26 pts ] Execute this SQL based on the above table: select venue order by year desc limit 1	gniezno
[ header: year \| div. \| pos. \| cup \| top scorer (league) \| score row 1 : 2003 \| uzl \| 12th \| 1/4 \| None \| None row 2 : 2004 \| uzl \| 7th \| 1/4 \| rahmat inogamov \| 8 row 3 : 2005 \| uzl \| 12th \| 1/2 \| alisher kholiqov \| 6 row 4 : 2006 \| uzl \| 11th \| 1/4 \| alisher kholiqov \| 9 row 5 : 2007 \| uzl \| 9th \| r16 \| None \| None row 6 : 2008 \| uzl \| 15th \| 1/4 \| lochin soliev \| 8 row 7 : 2009 \| uzl \| 15th \| 1/4 \| None \| None row 8 : 2010 \| 1st \| 1st \| r32 \| abdulatif juraev \| 27 row 9 : 2011 \| uzl \| 9th \| r32 \| sukhrob nematov \| 7 row 10 : 2012 \| uzl \| 7th \| 1/2 \| vokhid shodiev \| 5 row 11 : 2013 \| uzl \| 6th \| r16 \| vokhid shodiev \| 12 ] Execute this SQL based on the above table: select abs ( cup - cup ) where pos. = '7th'	0, 0
[ header: county \| obama \| votes \| romney \| votes \| others \| votes \| total row 1 : colusa \| 38.3% \| 2,314 \| 59.6% \| 3,601 \| 2.1% \| 130 \| 6,045 row 2 : contra costa \| 66.2% \| 290,824 \| 31.1% \| 136,517 \| 2.7% \| 11,804 \| 439,145 row 3 : del norte \| 43.4% \| 3,791 \| 52.8% \| 4,614 \| 3.8% \| 331 \| 8,736 row 4 : fresno \| 49.7% \| 129,129 \| 47.9% \| 124,490 \| 1.8% \| 6,078 \| 259,697 row 5 : imperial \| 65.2% \| 25,136 \| 33.2% \| 12,776 \| 1.6% \| 620 \| 38,532 row 6 : kern \| 40.5% \| 89,495 \| 57.3% \| 126,618 \| 2.2% \| 4,900 \| 221,013 row 7 : lassen \| 28.5% \| 3,053 \| 68.0% \| 7,296 \| 3.5% \| 376 \| 10,725 row 8 : madera \| 40.2% \| 16,018 \| 57.3% \| 22,852 \| 2.5% \| 996 \| 39,866 row 9 : merced \| 53.0% \| 33,005 \| 44.3% \| 27,581 \| 2.7% \| 1,636 \| 62,222 row 10 : modoc \| 27.7% \| 1,113 \| 69.1% \| 2,779 \| 3.2% \| 130 \| 4,022 row 11 : mono \| 52.9% \| 2,733 \| 44.2% \| 2,285 \| 2.9% \| 150 \| 5,168 row 12 : nevada \| 47.7% \| 24,663 \| 48.4% \| 24,986 \| 3.9% \| 2,026 \| 51,675 row 13 : placer \| 38.9% \| 66,818 \| 58.2% \| 99,921 \| 2.9% \| 4,972 \| 171,711 row 14 : plumas \| 39.9% \| 4,026 \| 56.8% \| 5,721 \| 3.3% \| 333 \| 10,080 row 15 : san bernardino \| 52.6% \| 305,109 \| 45.2% \| 262,358 \| 2.2% \| 13,136 \| 580,603 row 16 : san francisco \| 83.4% \| 301,723 \| 13.0% \| 47,076 \| 3.4% \| 12,996 \| 361,795 row 17 : san joaquin \| 55.6% \| 114,121 \| 41.9% \| 86,071 \| 2.5% \| 5,172 \| 205,364 row 18 : san luis obispo \| 48.6% \| 61,258 \| 47.6% \| 59,967 \| 3.8% \| 4,741 \| 125,966 row 19 : santa cruz \| 75.4% \| 90,805 \| 20.0% \| 24,047 \| 4.6% \| 5,533 \| 120,385 row 20 : sierra \| 36.3% \| 652 \| 58.7% \| 1,056 \| 5.0% \| 90 \| 1,798 row 21 : siskiyou \| 40.2% \| 8,044 \| 55.4% \| 11,076 \| 4.4% \| 870 \| 19,990 row 22 : solano \| 63.3% \| 96,783 \| 34.1% \| 52,092 \| 2.6% \| 3,965 \| 152,840 row 23 : stanislaus \| 49.9% \| 77,724 \| 47.1% \| 73,459 \| 3.0% \| 4,633 \| 155,816 row 24 : trinity \| 46.6% \| 2,674 \| 47.3% \| 2,716 \| 6.1% \| 349 \| 5,739 row 25 : tulare \| 41.2% \| 41,752 \| 56.2% \| 56,956 \| 2.6% \| 2,571 \| 101,279 row 26 : ventura \| 52.2% \| 170,929 \| 45.1% \| 147,958 \| 2.7% \| 8,825 \| 327,712 ] Execute this SQL based on the above table: select count ( * ) where total >= 35	26
[ header: date announced \| plant name \| location \| date of closing \| products \| employees row 1 : january 23, 2006 \| st. louis assembly \| hazelwood, missouri \| 2006 \| ford explorer lincoln \| 1445 row 2 : january 23, 2006 \| atlanta assembly \| hapeville, georgia \| oct. 2006 \| ford taurus mercury sable \| 2028 row 3 : january 23, 2006 \| batavia transmission \| batavia, ohio \| 2008 \| transmissions \| 1745 row 4 : january 23, 2006 \| windsor casting \| windsor, ontario, canada \| 2008 \| engine blocks, parts \| 684 row 5 : january 23, 2006 \| wixom assembly \| wixom, michigan \| june 2007 \| lincoln town car lin \| 1567 row 6 : april 13, 2006 \| twin cities assembly \| st. paul, minneso \| 2011 \| ford ranger mazda b \| 1885 row 7 : april 13, 2006 \| norfolk assembly \| norfolk, virginia, \| 2007 \| ford f-series \| 2433 row 8 : september 14, 2006 \| essex engine \| windsor, ontario, canada \| 2008 \| ford triton engine ford esse \| None row 9 : september 14, 2006 \| maumee stamping \| maumee, ohio \| 2008 \| body panels \| None row 10 : total \| total \| total \| total \| total \| 11787 ] Execute this SQL based on the above table: select count ( date announced ) where employees = 1567	1
[ header: athlete \| event \| race 1 time \| race 2 time \| total time \| total rank row 1 : stefan shalamanov \| giant slalom \| dnf \| None \| dnf \| None row 2 : borislav dimitrachkov \| giant slalom \| dnf \| None \| dnf \| None row 3 : lyubomir popov \| giant slalom \| 1:10.73 \| dnf \| dnf \| None row 4 : stefan shalamanov \| slalom \| 58.68 \| 53.69 \| 1:52.37 \| 23 row 5 : lyubomir popov \| slalom \| 57.78 \| 53.03 \| 1:50.81 \| 19 row 6 : borislav dimitrachkov \| slalom \| 57.58 \| 53.23 \| 1:50.81 \| 19 row 7 : petar popangelov \| slalom \| 55.14 \| 51.2 \| 1:46.34 \| 16 ] Execute this SQL based on the above table: select count ( * ) where race 1 time < 'dnf'	5
[ header: season \| date \| location \| discipline \| place row 1 : 2007 \| 18 mar 2007 \| lenzerheide, switze \| giant slalom \| 2nd row 2 : 2009 \| 10 jan 2009 \| maribor, slovenia \| giant slalom \| 3rd row 3 : 2010 \| 28 nov 2009 \| aspen, usa \| giant slalom \| 1st row 4 : 2010 \| 28 dec 2009 \| lienz, austria \| giant slalom \| 1st row 5 : 2010 \| 24 jan 2010 \| cortina d'ampezzo \| giant slalom \| 3rd row 6 : 2010 \| 11 mar 2010 \| garmisch, germany \| giant slalom \| 2nd row 7 : 2011 \| 23 oct 2010 \| solden, austria \| giant slalom \| 2nd row 8 : 2011 \| 27 nov 2010 \| aspen, usa \| giant slalom \| 3rd row 9 : 2011 \| 28 dec 2010 \| semmering, austria \| giant slalom \| 3rd ] Execute this SQL based on the above table: select place where season > 2010	2nd, 3rd, 3rd
[ header: player \| team \| date \| opponent \| venue row 1 : tony lazzeri \| new york yankees \| may 24, 1936 \| philadelphia athletics \| shibe park row 2 : jim tabor \| boston red sox \| 07/04/39 \| philadelphia athletics \| shibe park row 3 : rudy york \| boston red sox \| july 27, 1946 \| st. louis browns \| sportsman's park row 4 : jim gentile \| baltimore orioles \| may 9, 1961 \| minnesota twins \| metropolitan stadium row 5 : tony cloninger \| atlanta braves \| july 3, 1966 \| san francisco giants \| candlestick park row 6 : jim northrup \| detroit tigers \| june 24, 1968 \| cleveland indians \| cleveland stadium row 7 : frank robinson \| baltimore orioles \| june 26, 1970 \| washington senators \| rfk stadium row 8 : robin ventura \| chicago white sox \| september 4, 1995 \| texas rangers \| the ballpark in arlington row 9 : chris hoiles \| baltimore orioles \| august 14, 1998 \| cleveland indians \| jacobs field row 10 : fernando tatis \| st. louis cardinals \| april 23, 1999 \| los angeles dodgers \| dodger stadium row 11 : nomar garciaparra \| boston red sox \| may 10, 1999 \| seattle mariners \| fenway park row 12 : bill mueller \| boston red sox \| july 29, 2003 \| texas rangers \| the ballpark in arlington row 13 : josh willingham \| washington nationals \| july 27, 2009 \| milwaukee brewers \| miller park ] Execute this SQL based on the above table: select count ( * ) where team = 'boston red sox'	4
[ header: season \| team \| country \| division \| apps \| goals \| assists row 1 : 01/02 \| esteghlal \| iran \| 1 \| None \| 3 \| None row 2 : 02/03 \| esteghlal \| iran \| 1 \| None \| 2 \| None row 3 : 03/04 \| esteghlal \| iran \| 1 \| None \| 6 \| None row 4 : 04/05 \| eseghlal \| iran \| 1 \| 27 \| 3 \| None row 5 : 05/06 \| esteghlal \| iran \| 1 \| 21 \| 0 \| 2 row 6 : 06/07 \| esteghlal \| iran \| 1 \| 14 \| 1 \| 1 row 7 : 07/08 \| steel azin \| iran \| 1 \| None \| 2 \| None row 8 : 10/11 \| gostaresh foolad \| iran \| 2 \| 0 \| 0 \| 0 ] Execute this SQL based on the above table: select country where team > ( select team where country = 'iran' ) order by team limit 1	iran
[ 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 date where week = 11	november 20, 1960
[ header: place \| player \| country \| score \| to par \| money ($) row 1 : t1 \| bobby jones (a) \| united states \| 69-75-71-79=2 \| 6 \| playoff row 2 : t1 \| al espinosa \| united states \| 70-72-77-75=294 \| 6 \| playoff row 3 : t3 \| gene sarazen \| united states \| 71-71-76-78=2 \| 8 \| 700 row 4 : t3 \| denny shute \| united states \| 73-71-76-76=2 \| 8 \| 700 row 5 : t5 \| tommy armour \| scotland united states \| 74-71-76-76=2 \| 9 \| 550 row 6 : t5 \| george von elm (a \| united states \| 79-70-74-74=2 \| 9 \| 0 row 7 : 7 \| henry ciuci \| united states \| 78-74-72-75=2 \| 11 \| 450 row 8 : t8 \| leo diegel \| united states \| 74-74-76-77=301 \| 13 \| 300 row 9 : t8 \| peter o'hara \| united states \| 74-76-73-78=301 \| 13 \| 300 row 10 : 10 \| horton smith \| united states \| 76-77-74-75=30 \| 14 \| 150 ] Execute this SQL based on the above table: select country order by to par desc limit 1	united states
[ header: entered \| weeks in top 10 \| single \| artist \| peak \| peak reached \| weeks at peak row 1 : 3 october 1993 \| 14 \| "i'd do anything for love" \| meat loaf \| 1 \| 17 october 1993 \| 7 row 2 : 19 december 1993 \| 3 \| "bat out of hell" \| meat loaf \| 8 \| 19 december 1993 \| 2 row 3 : 2 january 1994 \| 9 \| "things can only get better" (# \| d:ream \| 1 \| 16 january 1994 \| 4 row 4 : 16 january 1994 \| 1 \| "here i stand" \| bitty mclean \| 10 \| 16 january 1994 \| 1 row 5 : 23 january 1994 \| 1 \| "in your room" \| depeche mode \| 8 \| 23 january 1994 \| 1 row 6 : 23 january 1994 \| 8 \| "return to innocence" \| enigma \| 3 \| 6 february 1994 \| 2 row 7 : 13 march 1994 \| 7 \| "streets of philadelphia" \| bruce springsteen \| 2 \| 27 march 1994 \| 1 row 8 : 1 may 1994 \| 7 \| "come on you reds" \| manchester united football squad featuring status quo \| 1 \| 15 may 1994 \| 2 row 9 : 8 may 1994 \| 3 \| "just a step from heaven" \| eternal \| 8 \| 15 may 1994 \| 1 row 10 : 15 may 1994 \| 2 \| "more to this world" \| bad boys inc \| 8 \| 22 may 1994 \| 1 row 11 : 12 june 1994 \| 2 \| "anytime you need a friend" \| mariah carey \| 8 \| 19 june 1994 \| 1 row 12 : 7 august 1994 \| 4 \| "what's up?" \| dj miko \| 6 \| 14 august 1994 \| 1 row 13 : 14 august 1994 \| 2 \| "live forever" \| oasis \| 10 \| 14 august 1994 \| 2 row 14 : 28 august 1994 \| 1 \| "parklife" \| blur \| 10 \| 28 august 1994 \| 1 row 15 : 2 october 1994 \| 2 \| "secret" \| madonna \| 5 \| 2 october 1994 \| 1 row 16 : 2 october 1994 \| 6 \| "sweetness" \| michelle gayle \| 4 \| 30 october 1994 \| 1 row 17 : 30 october 1994 \| 4 \| "oh baby i..." \| eternal \| 4 \| 6 november 1994 \| 1 row 18 : 6 november 1994 \| 5 \| "another night" \| mc sar and real m \| 2 \| 13 november 1994 \| 1 row 19 : 13 november 1994 \| 3 \| "sight for sore eyes" \| m people \| 6 \| 20 november 1994 \| 1 row 20 : 13 november 1994 \| 1 \| "true faith '94" \| new order \| 9 \| 13 november 1994 \| 1 row 21 : 11 december 1994 \| 3 \| "power rangers: the official single" \| the mighty raw \| 3 \| 11 december \| 1 ] Execute this SQL based on the above table: select max ( abs ( peak reached - peak reached ) )	0
[ header: season \| series \| team \| races \| wins \| poles \| f/laps \| podiums \| points \| position row 1 : 2003 \| formula renault 2.0 italy \| cram competition \| 12 \| 0 \| 1 \| 1 \| 3 \| 118 \| 7th row 2 : 2003 \| formula renault 2000 masters season \| cram competition \| 8 \| 0 \| 0 \| 0 \| 0 \| 0 \| 28th row 3 : 2003 \| formula renault 2.0 germany \| cram competition \| 2 \| 0 \| 0 \| 0 \| 0 \| 3 \| 43rd row 4 : 2003 \| formula renault 2.0 italy winter cup \| cram competition \| None \| None \| None \| None \| None \| None \| 1st row 5 : 2004 \| formula renault 2.0 italy \| cram competition \| 17 \| 8 \| 6 \| 11 \| 12 \| 326 \| 1st row 6 : 2004 \| formula renault 2000 eurocup \| cram competition \| 15 \| 2 \| 0 \| 1 \| 3 \| 134 \| 8th row 7 : 2004 \| formula renault v6 eurocup \| cram competition \| 2 \| 0 \| 0 \| 0 \| 0 \| 12 \| 21st row 8 : 2004 \| formula one \| minardi \| test driver \| test driver \| test driver \| test driver \| test driver \| test driver \| test driver row 9 : 2005 \| world series by renault \| dams \| 8 \| 0 \| 0 \| 0 \| 0 \| 4 \| 25th row 10 : 2005 \| italian formula 3000 \| sighinolfi auto racing \| 4 \| 1 \| 1 \| 1 \| 1 \| 14 \| 9th row 11 : 2006 \| world series by renault \| draco racing \| 17 \| 3 \| 5 \| 6 \| 5 \| 103 \| 3rd row 12 : 2007 \| gp2 series \| trident racing \| 13 \| 1 \| 1 \| 0 \| 2 \| 25 \| 11th row 13 : 2007 \| euroseries 3000 \| g-tec \| 2 \| 1 \| 1 \| 1 \| 1 \| 12 \| 10th row 14 : 2007 \| formula 3000 italy \| g-tec \| 2 \| 1 \| 1 \| 1 \| 1 \| 12 \| 8th row 15 : 2008 \| gp2 series \| piquet sports \| 20 \| 1 \| 2 \| 3 \| 6 \| 60 \| 5th row 16 : 2008 \| international gt open - gt \| scuderia latorre \| 2 \| 0 \| 0 \| 0 \| 1 \| 8 \| 22nd row 17 : 2008 \| euroseries 3000 \| gp racing \| 1 \| 1 \| 0 \| 1 \| 1 \| 11 \| 12th row 18 : 2008 \| international gt open \| scuderia latorre \| None \| None \| None \| None \| None \| 18 \| 32nd row 19 : 2008-09 \| gp2 asia series \| art grand prix \| 5 \| 0 \| 0 \| 0 \| 1 \| 7 \| 15th row 20 : 2009 \| euroseries 3000 \| teamcraft motorsport \| 2 \| 1 \| 0 \| 0 \| 1 \| 10 \| 10th row 21 : 2009 \| gp2 series \| art grand prix \| 20 \| 2 \| 0 \| 0 \| 2 \| 36 \| 6th row 22 : 2010 \| gp2 series \| rapax team \| 20 \| 6 \| 0 \| 5 \| 8 \| 87 \| 1st row 23 : 2011 \| formula one \| at&t williams \| 19 \| 0 \| 0 \| 0 \| 0 \| 1 \| 18th row 24 : 2012 \| formula one \| williams f1 team \| 20 \| 1 \| 1 \| 0 \| 1 \| 45 \| 15th row 25 : 2013 \| formula one \| williams f1 team \| 19 \| 0 \| 0 \| 0 \| 0 \| 1 \| 18th row 26 : 2014 \| formula one \| lotus f1 team \| 2 \| 0 \| 0 \| 0 \| 0 \| 0 \| nc ] Execute this SQL based on the above table: select series where position = '8th' order by races desc limit 1	formula renault 2000 eurocup
[ header: name \| party \| took office \| left office row 1 : glenlyon campbell \| conservative \| 1903 \| 1908 row 2 : duncan cameron \| conservative \| 1908 \| 1910 row 3 : sam hughes \| conservative \| 1910 \| 1915 row 4 : william findlater \| liberal \| 1915 \| 1922 row 5 : arthur berry \| progressive \| 1922 \| 1932 row 6 : None \| liberal-progressive \| 1932 \| 1936 row 7 : stanley fox \| social credit \| 1936 \| 1940 row 8 : None \| social credit (coalition) \| 1940 \| 1949 row 9 : ray mitchell \| liberal-progressive \| 1949 \| 1958 ] Execute this SQL based on the above table: select abs ( party - name ) where took office = 1910	0
[ header: from \| to \| name \| party \| position row 1 : 1850 \| 1862 \| m. borgarelli d' \| None \| colonel of infantry e.r row 2 : 1862 \| 1869 \| jules alfred le tourneur du \| None \| first secretary for the minister of finance row 3 : 1869 \| 1903 \| stanislas le tourneur d \| None \| attached to the taxation administration of france row 4 : None \| None \| yves le tourneur d' \| None \| doctor of juridical science row 5 : 1966 \| 1989 \| maurice lecoq \| None \| market gardener row 6 : 1989 \| 2008 \| michel deuzet \| se \| farmer row 7 : 2008 \| 2014 \| patrice martin \| se \| bank officer ] Execute this SQL based on the above table: select name where id = 1	m. borgarelli d'ison
[ header: rank \| lane \| name \| nationality \| time \| notes row 1 : None \| 4 \| sophie pascoe \| new zealand \| 2:25.65 \| wr row 2 : None \| 5 \| summer ashley mortimer \| canada \| 2:32.08 \| None row 3 : None \| 3 \| zhang meng \| china \| 2:33.95 \| as row 4 : 4 \| 6 \| katherine downie \| australia \| 2:34.64 \| None row 5 : 5 \| 2 \| nina ryabova \| russia \| 2:35.65 \| None row 6 : 6 \| 8 \| aurelie rivard \| canada \| 2:37.70 \| None row 7 : 7 \| 7 \| harriet lee \| great britain \| 2:39.42 \| None row 8 : 8 \| 1 \| gemma almond \| great britain \| 2:42.16 \| None ] Execute this SQL based on the above table: select count ( nationality ) where name = 'summer ashley mortimer'	1
[ header: \| dingli \| marsa \| mellieha \| mosta \| qormi \| senglea \| st.georges \| st.patrick \| tarxien \| vittoriosa row 1 : dingli \| None \| 6-2 \| 2-2 \| 0-2 \| 2-0 \| 0-1 \| 2-2 \| 2-0 \| 1-3 \| 0-0 row 2 : marsa \| 0-3 \| None \| 0-1 \| 2-4 \| 3-4 \| 0-5 \| 1-3 \| 1-0 \| 2-3 \| 1-4 row 3 : mellieha \| 0-2 \| 1-3 \| None \| 1-2 \| 4-3 \| 1-3 \| 0-1 \| 2-2 \| 2-2 \| 3-6 row 4 : mosta \| 4-0 \| 0-3 \| 3-0 \| None \| 2-2 \| 3-1 \| 2-0 \| 2-0 \| 0-1 \| 2-1 row 5 : qormi \| 4-2 \| 1-1 \| 3-0 \| 3-3 \| None \| 1-0 \| 1-0 \| 1-0 \| 4-1 \| 0-1 row 6 : senglea \| 0-4 \| 5-2 \| 4-0 \| 2-1 \| 1-3 \| None \| 2-0 \| 0-4 \| 0-1 \| 1-0 row 7 : st. george's \| 4-2 \| 6-0 \| 1-2 \| 2-2 \| 0-0 \| 0-4 \| None \| 2-1 \| 2-0 \| 3-7 row 8 : st. patrick \| 0-2 \| 1-1 \| 3-1 \| 0-1 \| 1-3 \| 1-1 \| 4-1 \| None \| 1-1 \| 1-3 row 9 : tarxien \| 2-1 \| 4-0 \| 3-0 \| 0-0 \| 0-2 \| 1-0 \| 1-0 \| 3-0 \| None \| 3-2 row 10 : vittoriosa \| 1-3 \| 2-1 \| 2-1 \| 0-1 \| 1-2 \| 1-2 \| 2-0 \| 0-2 \| 0-3 \| None ] Execute this SQL based on the above table: select max ( mellieha ) - min ( mellieha )	4
[ header: season \| average \| high \| low \| season tickets row 1 : 2001-02 serie a \| 17956 \| 27498 \| 14704 \| 12156 row 2 : 2002-03 serie a \| 16306 \| 25603 \| 12980 \| 11544 row 3 : 2003-04 serie a \| 15904 \| 23663 \| 11463 \| 10439 row 4 : 2004-05 serie a \| 14044 \| 23010 \| 10711 \| 9923 row 5 : 2005-06 serie a \| 14372 \| 23116 \| 11575 \| 10639 row 6 : 2006-07 serie a \| 14644 \| 20488 \| 11946 \| 11120 row 7 : 2007-08 serie a \| 15427 \| 25149 \| 11890 \| 11386 row 8 : 2008-09 serie b \| 10031 \| 12265 \| 9261 \| None row 9 : 2009-10 serie a \| 17061 \| 21323 \| 11870 \| 13691 row 10 : 2010-11 serie a \| 14524 \| 19615 \| 11975 \| 10578 row 11 : 2011-12 serie a \| 13646 \| 19481 \| 10800 \| 9620 row 12 : 2012-13 serie a \| 12740 \| 19073 \| 9627 \| 10546 ] Execute this SQL based on the above table: select season order by average desc limit 1	2001-02 serie a
[ header: no \| driver \| entrant \| constructor \| chassis \| engine \| tyre row 1 : 2 \| johnny claes \| ecurie belge \| talbot-lago \| talbot-lago t26c \| talbot 23cv 4.5 l \| d row 2 : 6 \| yves giraud-cab \| yves giraud-cab \| talbot-lago \| talbot-lago t26c \| talbot 23cv 4.5 l \| d row 3 : 8 \| louis rosier \| ecurie rosier \| talbot-lago \| talbot-lago t26c \| talbot 23cv 4.5 l \| d row 4 : 10 \| henri louveau \| ecurie rosier \| talbot-lago \| talbot-lago t26c \| talbot 23cv 4.5 l \| d row 5 : 12 \| george abecassis \| hw motors \| hwm-alta \| hwm 51 \| alta 1.5 l4s \| d row 6 : 16 \| peter whitehead \| scuderia ferrari \| ferrari \| ferrari 125 \| ferrari 125 f1 1.5 v \| d row 7 : 18 \| luigi villoresi \| scuderia ferrari \| ferrari \| ferrari 375 \| ferrari type 375 4.5 v12 \| p row 8 : 20 \| alberto ascari \| scuderia ferrari \| ferrari \| ferrari 375 \| ferrari type 375 4.5 v12 \| p row 9 : 22 \| nino farina \| alfa romeo spa \| alfa romeo \| alfa romeo 159a \| alfa romeo 1.5 l8 \| p row 10 : 24 \| juan manuel fangio \| alfa romeo spa \| alfa romeo \| alfa romeo 159a \| alfa romeo 1.5 l8 \| p row 11 : 26 \| toulo de graffenried \| alfa romeo spa \| alfa romeo \| alfa romeo 159a \| alfa romeo 1.5 l8 \| p row 12 : 30 \| louis chiron \| enrico plate \| maserati \| maserati 4clt-48 \| maserati 4 cl 1.5 \| p row 13 : 32 \| harry schell \| enrico plate \| maserati \| maserati 4clt-48 \| maserati 4 cl 1.5 \| p row 14 : 40 \| guy mairesse \| yves giraud-cab \| talbot-lago \| talbot-lago t26c \| talbot 23cv 4.5 l \| d row 15 : 42 \| jose froilan gonzal \| jose froilan gonzal \| talbot-lago \| talbot-lago t26c \| talbot 23cv 4.5 l \| d row 16 : 48 \| maurice trintignant \| equipe gordini \| simca-gordini \| simca-gordini t \| simca-gordini 15c \| e row 17 : 52 \| peter hirt \| peter hirt \| veritas \| veritas meteor \| veritas 2.0 l6 \| None ] Execute this SQL based on the above table: select no where no = 30	30
[ header: date \| time \| opponent# \| rank# \| site \| tv \| result \| attendance row 1 : september 3, 2005 \| 8:00 pm \| at #25 pittsburgh \| None \| heinz field • pittsburgh \| abc \| w 42-21 \| 66451 row 2 : september 10, 2005 \| 12:00 pm \| at #3 michigan \| #23 \| michigan stadium • ann arbor, mi \| abc \| w 17-10 \| 111386 row 3 : september 17, 2005 \| 3:30 pm \| michigan state \| #12 \| notre dame stadium • notre dame, in \| nbc \| l 44-41 ot \| 80795 row 4 : september 24, 2005 \| 3:30 pm \| at washington \| #18 \| husky stadium • seattle wa \| abc \| w 36-17 \| 71473 row 5 : october 1, 2005 \| 7:45 pm \| at #20 purdue \| #14 \| ross-ade stadium • west la \| espn \| w 49-28 \| 65491 row 6 : october 15, 2005 \| 3:30 pm \| #1 usc \| #9 \| notre dame stadium • notre dame, in \| nbc \| l 34-31 \| 80795 row 7 : october 22, 2005 \| 2:30 pm \| byu \| #12 \| notre dame stadium • notre dame, in \| nbc \| w 49-23 \| 80795 row 8 : november 5, 2005 \| 2:30 pm \| tennessee \| #9 \| notre dame stadium • notre dame, in \| nbc \| w 41-21 \| 80795 row 9 : november 12, 2005 \| 1:00 pm \| navy \| #7 \| notre dame stadium • notre dame, in \| nbc \| w 42-21 \| 80795 row 10 : november 19, 2005 \| 2:30 pm \| syracuse \| #7 \| notre dame stadium • notre dame, in \| nbc \| w 34-10 \| 80795 row 11 : november 26, 2005 \| 8:00 pm \| at stanford \| #6 \| stanford stadium • palo alto, \| abc \| w 38-31 \| 56057 row 12 : january 2, 2006 \| 4:30 pm \| vs. #4 ohio \| #6 \| sun devil stadium • tempe, a \| abc \| l 34-20 \| 76196 ] Execute this SQL based on the above table: select date where time = ( select time where date = 'october 15, 2005' ) - 1	october 22, 2005, november 5, 2005, november 19, 2005
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1987 \| european junior championships \| birmingham, united kingdom \| None \| 20 km walk \| dq row 2 : 1990 \| european championships \| split, yugoslavia \| 4th \| 20 km walk \| 1:23.47 row 3 : 1991 \| world championships \| tokyo, japan \| 10th \| 20 km walk \| 1:21:32 row 4 : 1991 \| world championships \| tokyo, japan \| None \| 50 km walk \| dnf row 5 : 1992 \| olympic games \| barcelona, spain \| None \| 20 km walk \| dnf row 6 : 1992 \| olympic games \| barcelona, spain \| None \| 50 km walk \| dq row 7 : 1993 \| world indoor championships \| toronto, canada \| 2nd \| 5000 m walk \| 18:35.91 row 8 : 1993 \| world championships \| stuttgart, germany \| None \| 50 km walk \| dq row 9 : 1994 \| european championships \| helsinki, finland \| None \| 50 km walk \| dq row 10 : 1994 \| european championships \| helsinki, finland \| 5th \| 50 km walk \| 3:45:57 row 11 : 1995 \| world championships \| gothenburg, sweden \| 3rd \| 50 km walk \| 3:45.57 row 12 : 1996 \| olympic games \| atlanta, united states \| 8th \| 20 km walk \| 1:21:13 row 13 : 1996 \| olympic games \| atlanta, united states \| 1st \| 50 km walk \| 3:43:30 row 14 : 1997 \| world championships \| athens, greece \| 1st \| 50 km walk \| 3:44:46 row 15 : 1998 \| european championships \| budapest, hungary \| 1st \| 50 km walk \| 3:43:51 row 16 : 1999 \| world race walking cup \| mezidon-canon, france \| 4th \| 20 km walk \| 1:20:52 row 17 : 1999 \| world championships \| seville, spain \| None \| 50 km walk \| dq row 18 : 2000 \| european race walking cup \| eisenhuttenstadt, germany \| 1st \| 20 km walk \| 1:18:29 row 19 : 2000 \| olympic games \| sydney, australia \| 1st \| 20 km walk \| 1:18:59 (or) row 20 : 2000 \| olympic games \| sydney, australia \| 1st \| 50 km walk \| 3:42:22 row 21 : 2001 \| world championships \| edmonton, canada \| 1st \| 50 km walk \| 3:42.08 row 22 : 2001 \| goodwill games \| brisbane, australia \| 2nd \| 20,000 m walk \| 1:19:52.0 row 23 : 2002 \| european championships \| munich, germany \| 1st \| 50 km walk \| 3:36:39 (wr) row 24 : 2003 \| world championships \| paris, france \| 1st \| 50 km walk \| 3:36:03 row 25 : 2004 \| olympic games \| athens, greece \| 1st \| 50 km walk \| 3:38:46 ] Execute this SQL based on the above table: select count ( distinct year )	16
[ header: no. \| train no: \| origin \| destination \| train name row 1 : 1 \| 56654 \| mangalore central \| kozhikode \| passenger row 2 : 2 \| 56324 \| mangalore central \| coimbatore city junction \| fast passenger row 3 : 3 \| 56656 \| mangalore central \| kannur \| passenger row 4 : 4 \| 56643/56645 \| mangalore central \| kabakaputtur \| passenger row 5 : 5 \| 56640 \| mangalore central \| verna \| passenger row 6 : 6 \| 56647 \| mangalore central \| subrahmanya road \| passenger row 7 : 7 \| 56661 \| mangalore central \| cheruvathur \| passenger row 8 : 8 \| 70106 \| mangalore central \| bhatkal \| demu ] Execute this SQL based on the above table: select no. where train no: = '56643/56645' and no. = 4	4
[ header: date \| opponent \| venue \| result row 1 : 28 aug \| burnley \| a \| 3 - 4 row 2 : 30 aug \| leeds united \| a \| 0 - 0 row 3 : 4 sep \| west bromwich albion \| h \| 1 - 1 row 4 : 6 sep \| leeds united \| h \| 3 - 1 row 5 : 11 sep \| aston villa \| h \| 2 - 3 row 6 : 18 sep \| bolton wanderers \| a \| 0 - 2 row 7 : 20 sep \| newcastle united \| h \| 1 - 1 row 8 : 25 sep \| manchester united \| h \| 0 - 2 row 9 : 2 oct \| derby county \| a \| 3 - 6 row 10 : 9 oct \| sheffield united \| h \| 3 - 0 row 11 : 16 oct \| huddersfield town \| a \| 0 - 0 row 12 : 23 oct \| sunderland \| h \| 3 - 0 row 13 : 30 oct \| bury \| a \| 3 - 2 row 14 : 6 nov \| birmingham city \| h \| 1 - 0 row 15 : 13 nov \| tottenham hotspur \| a \| 1 - 4 row 16 : 20 nov \| west ham united \| h \| 1 - 2 row 17 : 29 nov \| sheffield wednesday \| a \| 0 - 3 row 18 : 4 dec \| leicester city \| h \| 0 - 1 row 19 : 11 dec \| everton \| a \| 1 - 0 row 20 : 18 dec \| blackburn rovers \| h \| 0 - 1 row 21 : 25 dec \| newcastle united \| a \| 0 - 5 row 22 : 27 dec \| arsenal \| h \| 2 - 0 row 23 : 1 jan \| arsenal \| a \| 2 - 3 row 24 : 15 jan \| burnley \| h \| 0 - 0 row 25 : 31 jan \| aston villa \| a \| 0 - 0 row 26 : 5 feb \| bolton wanderers \| h \| 1 - 0 row 27 : 12 feb \| manchester united \| a \| 1 - 1 row 28 : 21 feb \| west bromwich albion \| a \| 2 - 1 row 29 : 26 feb \| sheffield united \| a \| 1 - 3 row 30 : 12 mar \| sunderland \| a \| 2 - 2 row 31 : 16 mar \| derby county \| h \| 2 - 0 row 32 : 19 mar \| bury \| h \| 2 - 1 row 33 : 21 mar \| huddersfield town \| h \| 2 - 0 row 34 : 2 apr \| tottenham hotspur \| h \| 1 - 2 row 35 : 7 apr \| leicester city \| a \| 1 - 3 row 36 : 9 apr \| west ham united \| a \| 2 - 2 row 37 : 15 apr \| liverpool \| a \| 0 - 5 row 38 : 16 apr \| sheffield wednesday \| h \| 3 - 2 row 39 : 18 apr \| liverpool \| h \| 2 - 0 row 40 : 27 apr \| birmingham city \| a \| 2 - 1 row 41 : 30 apr \| everton \| h \| 1 - 0 row 42 : 7 may \| blackburn rovers \| a \| 0 - 1 ] Execute this SQL based on the above table: select opponent order by opponent limit 1	arsenal
[ header: year \| ibm model number \| name \| processor \| bus \| hd interface \| case \| notes row 1 : 1987 \| 8525-004 \| model 25 \| 8 mhz intel 8086 \| isa 8 bit \| None \| desktop with integrated color display \| single disk drive row 2 : 1987 \| 8525-g04 \| model 25 \| 8 mhz intel 8086 \| isa 8 bit \| None \| desktop with integrated color display \| single disk drive, enhanced keyboard row 3 : 1987 \| 8525-c02 \| model 25 collegiate \| 8 mhz intel 8086 \| isa 8 bit \| None \| desktop with integrated monochrome display \| two disk drives row 4 : 1987 \| 8525-c05 \| model 25 collegiate \| 8 mhz intel 8086 \| isa 8 bit \| None \| desktop with integrated color display \| two disk drives row 5 : 1987 \| 8525-k02 \| model 25 collegiate \| 8 mhz intel 8086 \| isa 8 bit \| None \| desktop with integrated monochrome display \| two disk drives, enhanced keyboard row 6 : 1990 \| 8525-006 \| model 25 286 \| 10 mhz intel 286 \| isa 16 bit \| None \| desktop with integrated color display \| single hd disk drive row 7 : 1992 \| 8525-k01 \| model 25 sx \| 16 mhz intel 386 \| isa 16 bit \| None \| desktop with integrated color display \| single hd disk drive, ethernet row 8 : 1992 \| 8525-l02 \| model 25 sx \| 16 mhz intel 386 \| isa 16 bit \| None \| desktop with integrated color display \| single hd disk drive, token-ring row 9 : 1987 \| 8530-002 \| model 30 \| 8 mhz intel 8086 \| isa 8 bit \| None \| desktop \| two disk drives row 10 : 1988 \| 8530-e01 \| model 30 286 \| 10 mhz intel 286 \| isa 16 bit \| None \| desktop \| single hd disk drive row 11 : 1989 \| 8530-e31 \| model 30 286 \| 10 mhz intel 286 \| isa 16 bit \| esdi, 30mb \| desktop \| single hd disk drive row 12 : 1987 \| 8530-r02 \| model 30 \| 8 mhz intel 8086 \| isa 8 bit \| None \| desktop, intelligent financial workstation \| two disk drives, 4700 host support row 13 : 1987 \| 8560 \| 60 \| intel 80286 \| mca 16 bit \| mfm or esdi \| tower \| None row 14 : 1988 \| 8550-031, 8550-061 \| 50 z \| intel 80286 \| mca 16 bit \| None \| desktop \| None row 15 : 1989 \| 8555 \| 55 sx \| intel 80386 sx \| mca 16 bit \| esdi \| desktop \| None row 16 : 1990 \| 8573 \| p75 486 \| intel 80486 \| mca 32 bit \| scsi \| portable \| 4 mca slots, two full length, row 17 : 1990 \| 8580 \| 80 \| intel 80386 dx \| mca 32 bit \| scsi \| tower \| None row 18 : 1990 \| 8565 \| 65 sx \| intel 80386 sx \| mca 16 bit \| scsi \| tower \| None row 19 : 1990 \| 8590 \| 90 xp 486 \| intel 80486 \| mca 32 bit \| scsi \| desktop \| None row 20 : 1991 \| 8540 \| 40 sx \| intel 80386 sx \| isa 16 bit \| None \| desktop \| None row 21 : 1991 \| 8557 \| 57 sx \| intel 80386 sx \| mca 16 bit \| scsi \| desktop \| None row 22 : 1991 \| 8570 \| 70 \| intel 80386 dx, in \| mca 32 bit \| None \| desktop \| None ] Execute this SQL based on the above table: select count ( * ) where bus = 'isa 8 bit'	7
[ header: year \| film \| role \| language \| notes row 1 : 2009 \| toss: a flip of destiny \| sherry \| hindi \| None row 2 : 2009 \| aa okkadu \| dr. pavitra \| telugu \| None row 3 : 2010 \| mouna ragam \| sandhya \| telugu \| None row 4 : 2010 \| saradaga kasepu \| manimala \| telugu \| None row 5 : 2010 \| orange \| madhu \| telugu \| special appearance row 6 : 2012 \| kamaal dhamaal malam \| maria \| hindi \| None row 7 : 2013 \| mahankali \| tanisha \| telugu \| None row 8 : 2013 \| shadow \| None \| telugu \| None row 9 : 2013 \| eepeeko \| None \| tamil \| filming row 10 : 2013 \| black coffee \| None \| malayalam \| filming row 11 : 2014 \| koothara \| shaista \| malayalam \| filming row 12 : 2014 \| kotha janta \| None \| telugu \| filming row 13 : 2013 \| serndhu polama \| None \| tamil \| filming ] Execute this SQL based on the above table: select count ( film ) where film != 'koothara' and notes = ( select notes where film = 'koothara' )	4
[ header: country \| alternante title \| tv network(s) \| series premiere \| series finale row 1 : mexico \| la fuerza del destino \| canal de las estrellas \| march 14, 2011 \| july 31, 2011 row 2 : colombia \| la fuerza del destino \| rcn tv \| may 2, 2011 \| september 20, 2011 row 3 : venezuela \| la fuerza del destino \| venevision \| may 5, 2011 \| september 20, 2011 row 4 : peru \| la fuerza del destino \| america tv \| may 23, 2011 \| november 11, 2011 row 5 : usa \| la fuerza del destino \| univision \| august 2, 2011 \| december 26, 2011 row 6 : albania \| forca e fatit \| vizion plus \| august 29, 2011 \| january 9, 2012 row 7 : poland \| miłosc i przeznac \| tv puls \| september 5, 2011 \| february 7, 2012 row 8 : serbia \| tajna ljuba \| rtv pink pink soap \| september 12, 2011 july 3, 2013 \| april 13, 2012 octo row 9 : spain \| la fuerza del destino \| la 1 \| september 21, 2011 \| january 25, 2012 row 10 : bosnia and herzegovin \| tajna ljuba \| pink bh \| november 22, 2011 \| may 16, 2012 row 11 : montenegro \| tajna ljuba \| pink m \| december 19, 2011 \| may 2, 2012 row 12 : lithuania \| likimo galia \| tv3 \| january 4, 2012 \| may 31, 2012 row 13 : hungary \| a vegzet hatal \| story4 \| january 9, 2012 \| june 1, 2012 row 14 : panama \| la fuerza del destino \| canal 13 \| january 16, 2012 \| may 7, 2012 row 15 : chile \| la fuerza del destino \| mega tv \| january 31, 2012 \| april 19, 2012 row 16 : romania \| forta destinului \| acasa tv \| march 26, 2012 \| may 28, 2012 row 17 : iran \| the power of destiny \| farsi1 \| march 10, 2012 \| july 28, 2012 row 18 : israel \| כוחו של גורל \| viva \| april 19, 2012 \| september 21, 2012 row 19 : croatia \| moc sudbine \| hrt \| june 5, 2012 \| october 9, 2012 row 20 : slovenia \| moc usode \| pop tv \| july 12, 2012 \| november 30, 2012 row 21 : macedonia \| силата на судб \| pink 15 \| 2011 \| 2011 row 22 : morocco \| al maktoub المكتوب \| 2m tv \| august 14, 2013 \| january 2, 2014 row 23 : cyprus \| η εκδικηση \| ant1 \| october 15, 2013 \| present row 24 : france \| la force du destin \| idf1 \| september 23, 2013 \| december 2, 2013 row 25 : cameroon \| la force du destin \| canal 2 international \| september 23, 2013 \| december 2, 2014 row 26 : romania \| forta destinului \| acasa tv \| february 7, 2014 \| present ] Execute this SQL based on the above table: select count ( tv network(s) ) where series finale = 'may 28, 2012'	1
[ header: # \| title \| songwriters \| producer(s) \| performer (s) row 1 : 1 \| "creative control" \| o. credle, l. bas \| organized konfusion \| o.c row 2 : 2 \| "word...life" \| o. credle, a. best \| buckwild \| o.c row 3 : 3 \| "o-zone" \| o. credle, a. best \| buckwild \| o.c row 4 : 4 \| "born 2 live" \| o. credle, a. best \| buckwild \| o.c row 5 : 5 \| "time's up" \| o. credle, a. best \| buckwild \| o.c row 6 : 6 \| "point o' viewz" \| o. credle, d. van \| buckwild, prestige \| o.c row 7 : 7 \| "constables" \| o. credle, l. bas \| organized konfusion \| o.c row 8 : 8 \| "ga head" \| o. credle, r. hall \| lord finesse \| o.c row 9 : 9 \| "no main topic" \| o. credle, g. \| dj ogee/o. \| o.c., prince po row 10 : 10 \| "let it slide" \| o. credle, a. best \| buckwild \| o.c., pharo row 11 : 11 \| "ma dukes" \| o. credle, a. best \| buckwild \| o.c row 12 : 12 \| "story" \| o. credle, g. \| dj ogee/o. \| o.c row 13 : 13 \| "outtro (sabotage) \| o. credle, a. best \| buckwild \| o.c row 14 : 14 \| "born 2 live (remix)" \| o. credle, a. best \| organized konfusion \| o.c ] Execute this SQL based on the above table: select title where title = '"outtro (sabotage)"' and producer(s) = 'buckwild'	"outtro (sabotage)"
[ header: athlete \| nation \| olympics \| gold \| silver \| bronze \| total row 1 : philipp schoch \| switzerland (sui) \| 2002-2006 \| 2 \| 0 \| 0 \| 2 row 2 : shaun white \| united states (usa) \| 2006-2014 \| 2 \| 0 \| 0 \| 2 row 3 : seth wescott \| united states (usa) \| 2006-2010 \| 2 \| 0 \| 0 \| 2 row 4 : karine ruby \| france (fra) \| 1998-2002 \| 1 \| 1 \| 0 \| 2 row 5 : hannah teter \| united states (usa) \| 2006-2014 \| 1 \| 1 \| 0 \| 2 row 6 : ross powers \| united states (usa) \| 1998-2002 \| 1 \| 0 \| 1 \| 2 row 7 : kelly clark \| united states (usa) \| 2002-2014 \| 1 \| 0 \| 2 \| 3 row 8 : danny kass \| united states (usa) \| 2002-2006 \| 0 \| 2 \| 0 \| 2 ] Execute this SQL based on the above table: select olympics where athlete = 'karine ruby'	1998-2002
[ header: year \| number \| name row 1 : 1884-1885 \| 7 \| lukin homphrey i row 2 : 1889-1890 \| 6 \| septimus julius augustus deni row 3 : 1901 \| 154 \| f.m. gaudet row 4 : 1907 \| 139 \| c.r.f. cout row 5 : 1910 \| 63 \| george hooper row 6 : 1913 \| 268 \| henry robert visart de row 7 : 1928 \| 555 \| r.r. carr-harri row 8 : 1930-1931 \| 1119 \| j.h. price row 9 : 1940-1941 \| 803 \| j.v. young row 10 : 1945 \| 982 \| d.w. mackeen row 11 : 1948 \| 1855 \| ian s. johnston row 12 : 1951 \| 1860 \| nicol kingsmill row 13 : 1957 \| 1954 \| w.p. carr row 14 : 1962 \| 2183 \| james e. pepall row 15 : 1968-1969 \| rcnc90 \| john f. frank row 16 : 1986-1987 \| 5604 \| ken smee row 17 : 1996-1997 \| 3550 \| murray johnston row 18 : 2002-2003 \| 6777 \| michel charron row 19 : 2005-2006 \| 10080 \| robert booth row 20 : 2013 \| m0058 \| marc drolet (first u row 21 : 1891 \| 10 \| victor brereton rivers row 22 : 1895-1896 \| 15 \| francis joseph dixon row 23 : 1899 \| 14 \| john bray cochrane row 24 : 1902 \| 47 \| ernest frederick w row 25 : 1908 \| 232 \| john houlison row 26 : 1911 \| 255 \| h.a. panet row 27 : 1923 \| 377 \| a.c. caldwell row 28 : 1929 \| 667 \| e.g. hanson row 29 : 1932 \| 472 \| a.r. chipman row 30 : 1936-1937 \| 877 \| g.l. magann row 31 : 1946 \| 1841 \| d.g. cunningham row 32 : 1952 \| 1828 \| ted g.e. beament row 33 : 1955 \| 1474 \| de l.h.m panet row 34 : 1960 \| 1379 \| h.a. mackenzie row 35 : 1980-1981 \| 3251 \| jim tremain row 36 : 2000-2001 \| 5758 \| michael morres row 37 : 2003-2004 \| 7776 \| chris lythgo row 38 : 1892 \| 86 \| reuben wells leonard row 39 : 1897 \| 48 \| a.k. kirkpatrick row 40 : 1900 \| 41 \| robert cartwright row 41 : 1909 \| 91 \| j.d. gibson row 42 : 1912 \| 246 \| major-general sir henry e row 43 : 1920 \| 293 \| c.j. armstrong row 44 : 1927 \| 623 \| s.b. coristine row 45 : 1938-1939 \| 1003 \| a.m. mitchell row 46 : 1950 \| 1542 \| e.w. crowe row 47 : 1953 \| 1620 \| r.r. labatt row 48 : 1961 \| 2157 \| j.h.r. gagnon row 49 : 1964 \| 2351 \| guy savard row 50 : 1981-1982 \| 2897 \| herb pitts row 51 : 1992-1993 \| h3356 \| robin cumine row 52 : 1995-1996 \| 5739 \| andre costin ] Execute this SQL based on the above table: select number where name = 'd.g. cunningham'	1841
[ header: year \| title \| system \| developer \| publisher row 1 : 1984 \| ghostbusters \| atari 800, commodore 64 \| activision \| activision row 2 : 1985 \| ghostbusters \| atari 2600, apple ii \| activision \| activision row 3 : 1987 \| the real ghostbusters \| arcade \| data east \| data east row 4 : 1987 \| ghostbusters \| sega master system \| activision \| sega row 5 : 1988 \| ghostbusters \| nes \| bits laboratory \| activision/tokuma shoten row 6 : 1989 \| the real ghostbusters \| commodore 64, amiga, \| data east \| activision row 7 : 1989 \| ghostbusters ii \| atari 2600, amiga, com \| activision \| activision row 8 : 1990 \| ghostbusters ii \| nes \| kemco \| activision row 9 : 1990 \| ghostbusters \| sega mega drive/genesis \| sega \| sega row 10 : 1990 \| new ghostbusters 2 \| game boy, nes \| hal laboratory \| activision row 11 : 1993 \| the real ghostbusters \| game boy \| kemco \| activision row 12 : 2009 \| ghostbusters: the video game \| playstation 3, playstation 2, playstation portable, \| terminal reality, red fly studios, zen \| atari, sony computer entertainment (europe only row 13 : 2011 \| ghostbusters: sanctum of slime \| playstation network, xbox live, \| behaviour interactive \| atari row 14 : 2012 \| ghostbusters: paranormal blast \| android, ios \| xmg studio \| None row 15 : 2013 \| ghostbusters \| ios \| beeline interactive \| capcom ] Execute this SQL based on the above table: select count ( publisher ) where year = 2009	1
[ header: season \| tier \| division \| place row 1 : 1992-96 \| 5 \| regional \| None row 2 : 1996/97 \| 4 \| 3a \| 16th row 3 : 1997/98 \| 4 \| 3a \| 5th row 4 : 1998/99 \| 4 \| 3a \| 12th row 5 : 1999/00 \| 4 \| 3a \| 4th row 6 : 2000/01 \| 4 \| 3a \| 6th row 7 : 2001/02 \| 4 \| 3a \| 4th row 8 : 2002/03 \| 4 \| 3a \| 3rd row 9 : 2003/04 \| 3 \| 2ab \| 19th row 10 : 2004/05 \| 4 \| 3a \| 2nd ] Execute this SQL based on the above table: select ( select tier where place = '5th' ) - ( select tier where place = '4th' )	0.0
[ header: city of licence \| analog channel \| digital channel \| virtual channel \| callsign \| network \| notes row 1 : brandon \| 4 \| None \| None \| ckyb-tv \| ctv \| satellite of cky-dt winn row 2 : dauphin \| 12 \| None \| None \| ckyd-tv \| ctv \| satellite of cky-dt winn row 3 : fisher branch \| 8 \| None \| None \| ckya-tv \| ctv \| satellite of cky-dt winn row 4 : flin flon \| 13 \| None \| None \| ckyf-tv \| ctv \| satellite of cky-dt winn row 5 : mccreary \| 13 \| None \| None \| ckyb-tv \| ctv \| satellite of cky-dt winn row 6 : minnedosa \| 2 \| None \| None \| cknd-tv-2 \| global \| None row 7 : the pas \| 12 \| None \| None \| ckyp-tv \| ctv \| satellite of cky-dt winn row 8 : portage la prairie \| None \| 13 \| 13.1 \| chmi-dt \| city \| None row 9 : thompson \| 9 \| None \| None \| ckyt-tv \| ctv \| satellite of cky-dt winn row 10 : winnipeg \| None \| 51 \| 3.1 \| cbwft-dt \| r-c \| None row 11 : winnipeg \| None \| 27 \| 6.1 \| cbwt-dt \| cbc \| None row 12 : winnipeg \| None \| 7 \| 7.1 \| cky-dt \| ctv \| None row 13 : winnipeg \| None \| 40 \| 9.1 \| cknd-dt \| global \| None row 14 : winnipeg \| None \| 13 \| 13.1 \| chmi-dt \| city \| mts tv hd row 15 : winnipeg \| None \| 35 \| 35.1 \| ciit-dt \| religious independent \| None ] Execute this SQL based on the above table: select city of licence order by digital channel / digital channel desc limit 1	portage la prairie
[ header: date \| race name \| location \| uci rating \| winner \| team row 1 : 16-21 january \| la tropicale amissa bongo \| gabon \| 2.2 \| frederic guesdon (fr \| francaise des jeux row 2 : 8-14 february \| tour d'egypte \| egypt \| 2.2 \| waylon woolcock (rsa) \| south africa (national team) row 3 : 16 february \| gp of sharm el \| egypt \| 1.2 \| jan sipeky (svk) \| dukla trencin-merida row 4 : 24 february-9 march \| tour du cameroun \| cameroon \| 2.2 \| flavien chipault (fra) \| leboulou row 5 : 6-11 march \| giro del capo \| south africa \| 2.2 \| alexander efimkin (rus \| barloworld row 6 : 17-23 march \| tour of libya \| libya \| 2.2 \| ahmed mohamed ali ( \| libya (national team) row 7 : 8 april \| grand prix de la ville de tunis \| tunisia \| 1.2 \| ahmed mraihi ( \| tunisia (national team) row 8 : 28 april-5 may \| tour de la pharmacie centrale de tunisie \| tunisia \| 2.2 \| hassen ben nasser ( \| pharmacie centrale row 9 : 14-20 may \| boucle du coton \| burkina faso \| 2.2 \| saidou rouamba (bur) \| burkina faso (national row 10 : 8-17 june \| tour du maroc \| morocco \| 2.2 \| nicholas white (rsa \| south africa (national team) row 11 : 30 august-8 september \| tour du senegal \| senegal \| 2.2 \| adil jelloul (mar) \| frmc-maroc row 12 : 16 september \| dome 2 dome cycling spectacular \| south africa \| 1.2 \| jaco venter (rsa) \| team neotel ] Execute this SQL based on the above table: select count ( * ) where location = 'egypt'	2
[ header: party \| candidate \| votes row 1 : labour \| james kinney \| 5513 row 2 : labour \| james east \| 4847 row 3 : labour \| rice sheppard \| 4644 row 4 : citizens' committee \| percy abbott \| 4233 row 5 : citizens' committee \| john bowen \| 4093 row 6 : citizens' committee \| george h. scott \| 3835 row 7 : labour \| james findlay \| 3775 row 8 : labour \| j. j. murray \| 3696 row 9 : citizens' committee \| valentine richards \| 3524 row 10 : citizens' committee \| charles grant \| 3230 row 11 : independent \| charles g. davidson \| 2982 row 12 : independent \| joseph adair \| 2356 ] Execute this SQL based on the above table: select candidate group by candidate order by count ( * ) desc limit 1	valentine richards
[ header: year \| team \| co-drivers \| car \| class \| laps \| pos. \| class pos. row 1 : 1972 \| ford motor company deutschland \| jochen mass \| ford capri 2600rs \| s 3.0 \| 152 \| dnf \| dnf row 2 : 1973 \| bmw motorsport \| chris amon \| bmw 3.0csl \| t 5.0 \| 160 \| dnf \| dnf row 3 : 1980 \| bmw motorsport gmbh \| hans-georg burger dominique \| bmw m1 \| imsa \| 283 \| 15th \| 5th row 4 : 1981 \| basf cassetten team gs sport \| jean-pierre jarier hel \| bmw m1 \| imsa gtx \| 57 \| dnf \| dnf row 5 : 1982 \| basf cassetten team gs sport \| jean-louis schlesser \| sauber shs c6-ford \| c \| 76 \| dnf \| dnf row 6 : 1985 \| rothmans porsche \| derek bell \| porsche 962c \| c1 \| 367 \| 3rd \| 3rd row 7 : 1986 \| rothmans porsche \| derek bell al holbert \| porsche 962c \| c1 \| 368 \| 1st \| 1st row 8 : 1987 \| rothmans porsche ag \| derek bell al holbert \| porsche 962c \| c1 \| 368 \| 1st \| 1st row 9 : 1988 \| porsche ag \| klaus ludwig dere \| porsche 962c \| c1 \| 394 \| 2nd \| 2nd row 10 : 1989 \| joest racing \| bob wollek \| porsche 962c \| c1 \| 382 \| 3rd \| 3rd row 11 : 1990 \| joest porsche racing \| derek bell frank jelin \| porsche 962c \| c1 \| 350 \| 4th \| 4th row 12 : 1991 \| konrad motorsport \| derek bell frank jelin \| porsche 962c \| c2 \| 347 \| 7th \| 7th row 13 : 1993 \| le mans porsche team \| walter rohrl hurley \| porsche 911 turbo s lm- \| gt \| 79 \| dnf \| dnf row 14 : 1994 \| le mans porsche team joest racing \| thierry boutsen danny \| dauer 962 le mans \| gt1 \| 343 \| 3rd \| 2nd row 15 : 1995 \| porsche kremer racing \| thierry boutsen christoph \| kremer k8 spyder \| wsc \| 289 \| 6th \| 2nd row 16 : 1996 \| porsche ag \| thierry boutsen bob \| porsche 911 gt1 \| gt1 \| 353 \| 2nd \| 1st row 17 : 1997 \| porsche ag \| thierry boutsen bob \| porsche 911 gt1 \| gt1 \| 238 \| dnf \| dnf row 18 : 1998 \| team bmw motorsport \| steve soper tom kristen \| bmw v12 lm \| lmp1 \| 60 \| dnf \| dnf ] Execute this SQL based on the above table: select count ( car ) where year > 1	18
[ header: title \| year \| publisher \| developer \| platforms row 1 : the hobbit \| 1982 \| melbourne house \| beam software \| amstrad cpc, z row 2 : war in middle-earth \| 1988 \| melbourne house \| melbourne house \| c64, spectrum, amstrad row 3 : the lord of the rings volume 1 \| 1990 \| interplay, electronic arts \| interplay, chaos studios (amiga \| amiga, ibm pc row 4 : the lord of the rings volume 2 \| 1992 \| interplay \| interplay \| ibm pc row 5 : riders of rohan \| 1991 \| konami, mirrorsoft \| beam software, papyrus \| ibm pc row 6 : the lord of the rings volume 1 \| 1994 \| interplay \| interplay \| super nes row 7 : the lord of the rings: the fellowship \| 2002 \| vivendi universal games \| pocket studios \| game boy advance row 8 : the lord of the rings: the two \| 2002 \| electronic arts \| stormfront studios hypnos entertainment (g \| playstation 2, xbox, ninte row 9 : the lord of the rings: the return \| 2003 \| electronic arts aspyr (mac os \| electronic arts,hypnos entertainment (gcn \| ms windows, playstation 2, x row 10 : the lord of the rings: the return \| 2003 \| electronic arts \| griptonite games \| game boy advance row 11 : the hobbit \| 2003 \| sierra \| midway austin \| ms windows, playstation 2, x row 12 : the lord of the rings: the battle \| 2004 \| electronic arts \| ea los angeles \| ms windows row 13 : the lord of the rings: tactics \| 2005 \| electronic arts \| amaze \| playstation portable row 14 : the lord of the rings: the battle \| 2006 \| electronic arts \| ea los angeles \| ms windows, xbox 360 row 15 : the lord of the rings online: shadow \| 2007 \| turbine, inc., midway \| turbine, inc \| ms windows row 16 : the lord of the rings online: mine \| 2008 \| turbine, inc., midway \| turbine, inc \| ms windows row 17 : the lord of the rings online: sie \| 2009 \| turbine, inc \| turbine, inc \| ms windows row 18 : the lord of the rings: a \| 2010 \| warner bros. interactive entertainment \| headstrong games tt fusion \| wii, nintendo d row 19 : the lord of the rings: war in \| 2011 \| warner bros. interactive entertainment \| snowblind studios \| playstation 3, ms windows, x row 20 : the lord of the rings online: riders \| 2012 \| warner bros. interactive entertainment \| turbine, inc \| ms windows row 21 : lego the lord of the rings \| 2012 \| warner bros. interactive entertainment \| traveler's tales \| ms windows, wii, n row 22 : the hobbit: armies of the third \| 2013 \| None \| kabam \| browser game ] Execute this SQL based on the above table: select publisher where publisher = 'electronic arts' and title = 'the lord of the rings: the return of the king'	electronic arts
[ header: fence \| name \| jockey \| age \| handicap (st-lb) \| starting price \| fate row 1 : 22 \| what a myth \| paul kelleway \| 9 \| 11-4 \| 11/2 \| fell row 2 : 3 \| rough tweed \| pat buckley \| 12 \| 10-7 \| 22/1 \| fell row 3 : None \| kapeno \| david mould \| 9 \| 10-6 \| 100/7 \| fell row 4 : 6 \| packed home \| tommy carberry \| 11 \| 10-3 \| 33/1 \| fell row 5 : 22 \| greek scholar \| michael scudamore \| 7 \| 10-4 \| 50/1 \| fell row 6 : None \| brown diamond \| frank shortt \| 11 \| 10-0 \| 100/1 \| fell row 7 : 6 \| popham down \| willie robinson \| 9 \| 10-0 \| 22/1 \| fell row 8 : None \| pontin-go \| tm jones \| 14 \| 10-0 \| 100/1 \| fell row 9 : 15 \| game purston \| paddy cowley \| 8 \| 10-0 \| 100/1 \| fell row 10 : 22 \| supersweet \| mr d crossley-cook \| 9 \| 10-6 \| 100/1 \| fell row 11 : None \| major hitch \| paddy broderick \| 8 \| 10-1 \| 50/1 \| fell row 12 : 15 \| irish day \| jimmy magee \| 10 \| 10-0 \| 40/1 \| fell row 13 : None \| scottish final \| j gamble \| 9 \| 10-0 \| 100/1 \| fell row 14 : None \| flamecap \| f carroll \| 9 \| 10-0 \| 100/1 \| fell row 15 : 15 \| black spot \| jeremy speid-soo \| 9 \| 10-0 \| 100/1 \| fell row 16 : None \| harry black \| r court \| 9 \| 10-0 \| 100/1 \| fell row 17 : None \| flying wild \| pat taaffe \| 10 \| 11-0 \| 20/1 \| pulled up row 18 : None \| stirling \| hr beasley \| 10 \| 10-11 \| 28/1 \| pulled up row 19 : None \| vultrix \| stan mellor \| 8 \| 10-7 \| 100/7 \| pulled up row 20 : None \| solimyth \| mr john lawrence \| 10 \| 10-1 \| 100/1 \| pulled up row 21 : None \| april rose \| major piers bengough \| 11 \| 10-7 \| 100/1 \| pulled up row 22 : None \| l'empereur \| beltran osorio \| 12 \| 10-2 \| 100/1 \| pulled up row 23 : 14 \| willow king \| liam mcloughlin \| 11 \| 10-0 \| 100/1 \| pulled up row 24 : None \| royal ryse \| t hyde \| 8 \| 10-0 \| 100/1 \| pulled up row 25 : None \| mac's flare \| r langley \| 10 \| 10-0 \| 100/1 \| pulled up row 26 : None \| king pin \| mr tim durant \| 10 \| 10-11 \| 100/1 \| pulled up row 27 : None \| in haste \| j leech \| 8 \| 10-3 \| 100/1 \| pulled up row 28 : None \| my gift \| a redmond \| 10 \| 10-0 \| 100/1 \| pulled up row 29 : None \| bold biri \| j lehane \| 10 \| 10-0 \| 100/1 \| pulled up row 30 : 22 \| valouis \| e prendergast \| 7 \| 10-0 \| 50/1 \| brought down row 31 : 22 \| leslie \| mr jm opperman \| 10 \| 10-5 \| 100/1 \| brought down row 32 : None \| dorimont \| mr w shand-ky \| 12 \| 10-0 \| 50/1 \| unseated rider row 33 : 15 \| fujino-o \| jeff king \| 7 \| 12-0 \| 100/1 \| refused row 34 : None \| monarch's thought \| g cramp \| 12 \| 10-0 \| 100/1 \| refused row 35 : 6 \| groomsman \| mr s roberts \| 11 \| 11-0 \| 100/1 \| refused ] Execute this SQL based on the above table: select count ( fate ) where age >= 8	32
[ header: model name \| length \| width \| height \| riders \| capacity \| description \| portable \| notes row 1 : skater \| 21.5 m (71 ft) \| 11.65 m (38.2 f \| 10.69 m (35.1 ft) \| 24 \| 600 \| small halfpipe with inwards-facing seats \| yes \| row 2 : disk'o \| 24.55 m (80.5 ft \| 9.68 m (31.8 ft) \| 10 m (33 ft) \| 24 \| 600 \| small halfpipe with outwards-facing seats \| yes \| row 3 : surf's up \| 29 m (95 ft) \| 11 m (36 ft) \| 7.5 m (25 ft) \| 20 \| 480 \| small halfpipe with hill in middle. guests stand \| yes \| row 4 : mega disk'o \| 37.5 m (123 ft) \| 10 m (33 ft) \| 15.5 m (51 ft) \| 24 \| 600 \| large halfpipe with outwards-facing seats \| no \| row 5 : mega disk'o \| 37.5 m (123 ft) \| 10 m (33 ft) \| 15.5 m (51 ft) \| 40 \| 1000 \| large halfpipe with outwards-facing seats \| no \| row 6 : skater coaster \| None \| None \| None \| None \| None \| large halfpipe with hill in middle. inward \| None \| row 7 : disk'o coaster \| 81.5 m (267 ft) \| 11.3 m (37 ft) \| 15.5 m (51 ft) \| 24 \| 500 \| large halfpipe with hill in middle. outward \| no \| row 8 : disk'o coaster \| 81.5 m (267 ft) \| 11.3 m (37 ft) \| 15.5 m (51 ft) \| 40 \| 600 \| large halfpipe with hill in middle. outward \| no \| ] Execute this SQL based on the above table: select portable order by id desc limit 1	no
[ header: # \| event year \| season \| flag bearer row 1 : 7 \| 2012 \| summer \| ele opeloge row 2 : 6 \| 2008 \| summer \| ele opeloge row 3 : 5 \| 2004 \| summer \| uati maposua row 4 : 4 \| 2000 \| summer \| pauga lalau row 5 : 3 \| 1996 \| summer \| bob gasio row 6 : 2 \| 1988 \| summer \| henry smith row 7 : 1 \| 1984 \| summer \| apelu ioane ] Execute this SQL based on the above table: select season where id = 1	summer
[ header: \| 1965 \| 1960 \| 1960 \| 1970 \| 1970 row 1 : world \| 3334874000 \| 3021475000 \| 313399000 \| 3692492000 \| 357618000 row 2 : africa \| 313744000 \| 277398000 \| 36346000 \| 357283000 \| 43539000 row 3 : asia \| 1899424000 \| 1701336000 \| 198088000 \| 2143118000 \| 243694000 row 4 : europe \| 634026000 \| 604401000 \| 29625000 \| 655855000 \| 21829000 row 5 : latin america \| 250452000 \| 218300000 \| 1270000 \| 284856000 \| 34404000 row 6 : northern america \| 219570000 \| 204152000 \| 15418000 \| 231937000 \| 12367000 row 7 : oceania \| 17657000 \| 15888000 \| 1769000 \| 19443000 \| 1786000 ] Execute this SQL based on the above table: select order by desc limit 1	world
[ header: team \| winners \| runners-up \| years won \| years runner-up row 1 : liverpool \| 8 \| 3 \| 1981, 1982, 1983, 1984, 1995, \| 1978, 1987, 2005 row 2 : aston villa \| 5 \| 3 \| 1961, 1975, 1977, 1994, 1996 \| 1963, 1971, 2010 row 3 : manchester united \| 4 \| 4 \| 1992, 2006, 2009, 2010 \| 1983, 1991, 1994, 2003 row 4 : tottenham hotspur \| 4 \| 3 \| 1971, 1973, 1999, 2008 \| 1982, 2002, 2009 row 5 : chelsea \| 4 \| 2 \| 1965, 1998, 2005, 2007 \| 1972, 2008 row 6 : nottingham forest \| 4 \| 2 \| 1978, 1979, 1989, 1990 \| 1980, 1992 row 7 : leicester city \| 3 \| 2 \| 1964, 1997, 2000 \| 1965, 1999 row 8 : manchester city \| 3 \| 1 \| 1970, 1976, 2014 \| 1974 row 9 : arsenal \| 2 \| 5 \| 1987, 1993 \| 1968, 1969, 1988, 2007, 2011 row 10 : norwich city \| 2 \| 2 \| 1962, 1985 \| 1973, 1975 row 11 : birmingham city \| 2 \| 1 \| 1963, 2011 \| 2001 row 12 : wolverhampton wanderers \| 2 \| 0 \| 1974, 1980 \| None row 13 : west bromwich albion \| 1 \| 2 \| 1966 \| 1967, 1970 row 14 : middlesbrough \| 1 \| 2 \| 2004 \| 1997, 1998 row 15 : queens park rangers \| 1 \| 1 \| 1967 \| 1986 row 16 : leeds united \| 1 \| 1 \| 1968 \| 1996 row 17 : stoke city \| 1 \| 1 \| 1972 \| 1964 row 18 : luton town \| 1 \| 1 \| 1988 \| 1989 row 19 : sheffield wednesday \| 1 \| 1 \| 1991 \| 1993 row 20 : swindon town \| 1 \| 0 \| 1969 \| None row 21 : oxford united \| 1 \| 0 \| 1986 \| None row 22 : blackburn rovers \| 1 \| 0 \| 2002 \| None row 23 : swansea city \| 1 \| 0 \| 2013 \| None row 24 : west ham united \| 0 \| 2 \| None \| 1966, 1981 row 25 : everton \| 0 \| 2 \| None \| 1977, 1984 row 26 : bolton wanderers \| 0 \| 2 \| None \| 1995, 2004 row 27 : sunderland \| 0 \| 2 \| None \| 1985, 2014 row 28 : rotherham united \| 0 \| 1 \| None \| 1961 row 29 : rochdale \| 0 \| 1 \| None \| 1962 row 30 : newcastle united \| 0 \| 1 \| None \| 1976 row 31 : southampton \| 0 \| 1 \| None \| 1979 row 32 : oldham athletic \| 0 \| 1 \| None \| 1990 row 33 : tranmere rovers \| 0 \| 1 \| None \| 2000 row 34 : wigan athletic \| 0 \| 1 \| None \| 2006 row 35 : cardiff city \| 0 \| 1 \| None \| 2012 row 36 : bradford city \| 0 \| 1 \| None \| 2013 ] Execute this SQL based on the above table: select ( select count ( * ) where runners-up < 165 ) > 0	1
[ header: pick # \| cfl team \| player \| position \| college row 1 : 25 \| montreal alouettes \| shawn gifford \| ot \| charleston southern row 2 : 26 \| toronto argonauts \| kevin eiben \| s \| bucknell row 3 : 27 \| winnipeg blue bombers \| nick tsatsaronis \| rb \| memphis row 4 : 28 \| hamilton tiger-cats \| ryan donnelly \| ol \| mcmaster row 5 : 29 \| montreal alouettes \| peter moore \| dl \| syracuse row 6 : 30 \| calgary stampeders \| andrew carter \| ol \| bishop's row 7 : 31 \| montreal alouettes \| steven maheu \| wr/qb \| simon fraser row 8 : 32 \| bc lions \| kelly bates \| ol \| saskatchewan ] Execute this SQL based on the above table: select cfl team where cfl team >= 344	montreal alouettes, toronto argonauts, winnipeg blue bombers, hamilton tiger-cats, montreal alouettes, calgary stampeders, montreal alouettes, bc lions
[ header: season \| champion \| runner-up \| score \| third place row 1 : 1995-96 \| slask eska w \| browary tyskie bob \| 4-2 \| polonia przemysl row 2 : 1996-97 \| mazowszanka pekaes \| spojnia stargard s \| 4-0 \| browary tyskie bob row 3 : 1997-98 \| zepter slask \| pekaes pruszkow \| 4-3 \| ericsson bobry byto row 4 : 1998-99 \| zepter slask \| anwil nobiles wł \| 4-3 \| ericsson bobry byto row 5 : 1999-00 \| zepter slask \| anwil włocła \| 4-1 \| hoop-pekaes pru row 6 : 2000-01 \| zepter slask \| anwil włocła \| 4-1 \| prokom trefl sopot row 7 : 2001-02 \| idea slask wrocł \| prokom trefl sopot \| 4-1 \| stal ostrow wielkopol row 8 : 2002-03 \| anwil włocła \| prokom trefl sopot \| 4-2 \| idea slask wrocł row 9 : 2003-04 \| prokom trefl sopot \| idea slask wrocł \| 4-1 \| polonia warszawa row 10 : 2004-05 \| prokom trefl sopot \| anwil włocła \| 4-2 \| polonia warszawa row 11 : 2005-06 \| prokom trefl sopot \| anwil włocła \| 4-1 \| energa czarni row 12 : 2006-07 \| prokom trefl sopot \| bot turow zgorzele \| 4-1 \| asco slask wroc row 13 : 2007-08 \| prokom trefl sopot \| pge turow zgor \| 4-3 \| asco slask wroc row 14 : 2008-09 \| asseco prokom sopot \| pge turow zgor \| 4-1 \| anwil włocła row 15 : 2009-10 \| asseco prokom gdyn \| anwil włocła \| 4-0 \| polpharma starogard gdanski row 16 : 2010-11 \| asseco prokom gdyn \| pge turow zgor \| 4-3 \| energa czarni row 17 : 2011-12 \| asseco prokom gdyn \| trefl sopot \| 4-3 \| zastal zielona gora row 18 : 2012-13 \| stelmet zielona gor \| pge turow zgor \| 4-0 \| azs koszalin row 19 : 2013-14 \| None \| None \| None \| None ] Execute this SQL based on the above table: select count ( * ) where score = 'None'	0
[ header: s.no. \| name of kingdom \| name of king \| no. of villages \| capital \| names of districts row 1 : 1 \| sihag \| chokha singh \| 150 \| suin \| rawatsar, baramsar, row 2 : 2 \| beniwal \| raisal singh \| 150 \| rasalana \| bhukarka, sand row 3 : 3 \| johiya \| sher singh \| 600 \| bhurupal \| jaitpur, kumanu, ma row 4 : 4 \| punia \| kanha singh \| 300 \| luddi \| bhadra, ajitpura row 5 : 5 \| saharan \| pula singh \| 300 \| bhadang \| khejra, phoglo row 6 : 6 \| godara \| pandu singh \| 700 \| shekhsar \| shekhsar, pundrasar row 7 : 7 \| kaswan \| kanwarpal singh \| 400 \| sidhmukh \| None ] Execute this SQL based on the above table: select count ( names of districts ) where s.no. = 7	0
[ header: pos. \| time \| athlete \| country \| venue \| date row 1 : 1 \| 12.21 (+0.7) \| yordanka donkova \| bulgaria \| stara zagora \| 20 august 1988 row 2 : 2 \| 12.25 (+1.4) \| ginka zagorcheva \| bulgaria \| drama \| 8 august 1987 row 3 : 3 \| 12.26 (+1.7) \| ludmila narozh \| russia \| seville \| 6 june 1992 row 4 : 3 \| 12.26 (+1.2) \| brianna rollins \| united states \| des moines \| 22 june 2013 row 5 : 5 \| 12.28 (+1.1) \| sally pearson \| australia \| daegu \| 3 september 2011 row 6 : 6 \| 12.33 (-0.3) \| gail devers \| united states \| sacramento \| 23 july 2000 row 7 : 7 \| 12.36 (+1.9) \| grazyna rabszt \| poland \| warsaw \| 13 june 1980 row 8 : 8 \| 12.37 (+1.5) \| joanna hayes \| united states \| athens \| 24 august 2004 row 9 : 8 \| 12.37 (-0.2) \| dawn harper \| united states \| london \| 7 august 2012 row 10 : 10 \| 12.39 (+1.5) \| vera komisova \| soviet union \| rome \| 5 august 1980 row 11 : 10 \| 12.39 (+1.8) \| nataliya grygoryeva \| soviet union \| kiev \| 11 july 1991 row 12 : 12 \| 12.42 (+1.8) \| bettine jahn \| east germany \| berlin \| 8 june 1983 row 13 : 12 \| 12.42 (+2.0) \| anjanette kirkland \| united states \| edmonton \| 11 august 2001 row 14 : 14 \| 12.43 (-0.9) \| lucyna kalek \| poland \| hannover \| 19 august 1984 row 15 : 14 \| 12.43 (-0.3) \| michelle perry \| united states \| carson \| 26 june 2005 row 16 : 14 \| 12.43 (+0.2) \| lolo jones \| united states \| beijing \| 18 august 2008 row 17 : 14 \| 12.43 (+1.2) \| queen harrison \| united states \| des moines \| 22 june 2013 row 18 : 18 \| 12.44 (-0.5) \| gloria siebert \| east germany \| rome \| 4 september 1987 row 19 : 18 \| 12.44 (-0.8) \| olga shishigina \| kazakhstan \| lucerne \| 27 june 1995 row 20 : 18 \| 12.44 (+0.4) \| glory alozie \| nigeria \| monaco \| 8 august 1998 row 21 : 18 \| 12.44 (+0.6) \| damu cherry \| united states \| lausanne \| 7 july 2006 row 22 : 22 \| 12.45 (+1.3) \| cornelia oschkenat \| east germany \| neubrandenburg \| 11 june 1987 row 23 : 22 \| 12.45 (+1.4) \| brigitte foster-hylton \| jamaica \| eugene \| 24 may 2003 row 24 : 22 \| 12.45 (+1.5) \| olena krasov \| ukraine \| athens \| 24 august 2004 row 25 : 22 \| 12.45 (+1.4) \| virginia crawford \| united states \| new york city \| 2 june 2007 ] Execute this SQL based on the above table: select date where id = 1	20 august 1988
[ 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 year order by id desc limit 1	2012
[ header: rank \| lane \| name \| nationality \| time \| notes row 1 : None \| 4 \| sophie pascoe \| new zealand \| 2:25.65 \| wr row 2 : None \| 5 \| summer ashley mortimer \| canada \| 2:32.08 \| None row 3 : None \| 3 \| zhang meng \| china \| 2:33.95 \| as row 4 : 4 \| 6 \| katherine downie \| australia \| 2:34.64 \| None row 5 : 5 \| 2 \| nina ryabova \| russia \| 2:35.65 \| None row 6 : 6 \| 8 \| aurelie rivard \| canada \| 2:37.70 \| None row 7 : 7 \| 7 \| harriet lee \| great britain \| 2:39.42 \| None row 8 : 8 \| 1 \| gemma almond \| great britain \| 2:42.16 \| None ] Execute this SQL based on the above table: select count ( name ) where time = '2:35.65'	0
[ header: tie no \| home team \| score \| away team \| attendance row 1 : 1 \| chesterfield \| 1-0 \| nottingham forest \| 15 february 1997 row 2 : 2 \| leicester city \| 2-2 \| chelsea \| 16 february 1997 row 3 : replay \| chelsea \| 1-0 \| leicester city \| 26 february 1997 row 4 : 3 \| derby county \| 3-2 \| coventry city \| 26 february 1997 row 5 : 4 \| manchester city \| 0-1 \| middlesbrough \| 15 february 1997 row 6 : 5 \| bradford city \| 0-1 \| sheffield wednesday \| 16 february 1997 row 7 : 6 \| wimbledon \| 2-1 \| queens park rangers \| 15 february 1997 row 8 : 7 \| leeds united \| 2-3 \| portsmouth \| 15 february 1997 row 9 : 8 \| birmingham city \| 1-3 \| wrexham \| 15 february 1997 ] Execute this SQL based on the above table: select tie no order by id desc limit 1	8
[ header: season \| tier \| division \| place row 1 : 1992-96 \| 5 \| regional \| None row 2 : 1996/97 \| 4 \| 3a \| 16th row 3 : 1997/98 \| 4 \| 3a \| 5th row 4 : 1998/99 \| 4 \| 3a \| 12th row 5 : 1999/00 \| 4 \| 3a \| 4th row 6 : 2000/01 \| 4 \| 3a \| 6th row 7 : 2001/02 \| 4 \| 3a \| 4th row 8 : 2002/03 \| 4 \| 3a \| 3rd row 9 : 2003/04 \| 3 \| 2ab \| 19th row 10 : 2004/05 \| 4 \| 3a \| 2nd ] Execute this SQL based on the above table: select count ( division ) where tier >= 3	10
[ header: player \| rec. \| yards \| avg. \| td's \| long row 1 : charles frederick \| 115 \| 1385 \| 12 \| 27 \| 42 row 2 : jerel myers \| 104 \| 1183 \| 11.4 \| 21 \| 38 row 3 : anthony hines \| 58 \| 822 \| 14.2 \| 12 \| 39 row 4 : boo williams \| 45 \| 474 \| 10.5 \| 17 \| 35 row 5 : ira gooch \| 24 \| 339 \| 14.1 \| 6 \| 32 row 6 : sam simmons \| 15 \| 197 \| 13.1 \| 2 \| 30 row 7 : kevin beard \| 10 \| 87 \| 8.7 \| 0 \| 21 row 8 : dawan moss \| 7 \| 39 \| 5.6 \| 1 \| 12 row 9 : cyron brown \| 3 \| 17 \| 5.7 \| 1 \| 8 row 10 : larrell johnson \| 3 \| 14 \| 4.7 \| 0 \| 6 row 11 : jamarr wood \| 1 \| 13 \| 13 \| 0 \| 13 row 12 : cecil moore \| 2 \| 9 \| 4.5 \| 2 \| 8 row 13 : raymond philyaw \| 1 \| -6 \| -6 \| 0 \| -6 ] Execute this SQL based on the above table: select player where long > ( select long where player = 'jamarr wood' ) and long < ( select long where player = 'sam simmons' )	kevin beard
[ header: school name \| city \| grades \| establishment \| charter row 1 : aliamanu intermediate school \| honolulu \| 7-8 \| 1958 \| None row 2 : anuenue school \| honolulu \| k-12 \| 1958 \| charter row 3 : central middle school \| honolulu \| 6-8 \| 1926 \| None row 4 : dole middle school \| honolulu \| 6-8 \| 1955 \| None row 5 : halau ku mana nc \| honolulu \| 6-12 \| 2000 \| charter row 6 : jarrett middle school \| honolulu \| 6-8 \| 1955 \| None row 7 : kaimuki middle school \| honolulu \| 6-8 \| 1939 \| None row 8 : kalakaua middle school \| honolulu \| 6-8 \| 1928 \| None row 9 : kawananakoa middle school \| honolulu \| 6-8 \| 1927 \| None row 10 : moanalua middle school \| honolulu \| 7-8 \| 1967 \| None row 11 : niu valley middle school \| honolulu \| 6-8 \| 1955 \| None row 12 : stevenson middle school \| honolulu \| 6-8 \| 1937 \| None row 13 : washington middle school \| honolulu \| 6-8 \| 1854 \| None ] Execute this SQL based on the above table: select grades where grades = '6-8' order by establishment asc limit 320	6-8, 6-8, 6-8, 6-8, 6-8, 6-8, 6-8, 6-8, 6-8
[ header: team \| basic elements \| tumbling \| stunts \| tosses \| pyramids \| deductions \| total score \| result row 1 : ccp bobcats \| 62 \| 54 \| 60 \| 66 \| 70.5 \| -4 \| 308.5 \| champion row 2 : up pep squad \| 61.5 \| 61.5 \| 61 \| 62 \| 71 \| -11 \| 306 \| runner-up row 3 : altas perp squad \| 57 \| 55.5 \| 53.5 \| 53.5 \| 69.5 \| -6 \| 283 \| third place row 4 : eac generals pep squad \| 55.5 \| 46.5 \| 57.5 \| 55 \| 66 \| -4 \| 276.5 \| fourth place row 5 : ateneo blue babble batallion \| 59 \| 55.5 \| 50 \| 47 \| 64.5 \| -13 \| 263 \| fifth place row 6 : adamson pep squad \| 56 \| 55 \| 52.5 \| 48.5 \| 66 \| -19 \| 259 \| sixth place row 7 : pup-taguig pep squad \| 52 \| 45.5 \| 49.5 \| 48.5 \| 65 \| -2 \| 258.5 \| seventh place row 8 : pup stars \| 49 \| 46.5 \| 50.5 \| 49.5 \| 64.5 \| -12 \| 248 \| eighth place ] Execute this SQL based on the above table: select count ( result ) where result = 'champion'	1
[ 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 count ( * ) where unicode > 280 or description > 280	27
[ header: entrant \| constructor \| chassis \| engine \| no \| driver row 1 : team ensign \| ensign \| n180b \| cosworth dfv v8 \| 3 \| jim crawford row 2 : team ensign \| ensign \| n180b \| cosworth dfv v8 \| 4 \| joe castellano row 3 : colin bennett racing \| mclaren \| m29 \| cosworth dfv v8 \| 6 \| arnold glass row 4 : colin bennett racing \| march \| 811 \| cosworth dfv v8 \| 7 \| val musetti row 5 : team sanada \| fittipaldi \| f8 \| cosworth dfv v8 \| 8 \| tony trimmer row 6 : warren booth \| shadow \| dn9 \| cosworth dfv v8 \| 11 \| warren booth row 7 : john jordan \| brm \| p207 \| brm 202 v12 \| 12 \| david williams row 8 : nick mason \| tyrrell \| 8 \| cosworth dfv v8 \| 14 \| john brindley row 9 : emka productions \| williams \| fw07 \| cosworth dfv v8 \| 16 \| steve o'rourke row 10 : team peru \| williams \| fw07 \| cosworth dfv v8 \| 82 \| jorge koechlin ] Execute this SQL based on the above table: select constructor group by constructor order by count ( driver > engine ) desc limit 1	williams
[ header: \| \| \| \| \| row 1 : world record \| snatch \| akakios kakias \| 188 kg \| athens, greece \| 27 november 1999 row 2 : world record \| clean & jerk \| szymon kołecki \| 232 kg \| sofia, bulgaria \| 29 april 2000 row 3 : world record \| total \| akakios kakias \| 412 kg \| athens, greece \| 27 november 1999 row 4 : asian record \| snatch \| kourosh bagheri ( \| 187 kg \| sydney, australia \| 24 september 2000 row 5 : asian record \| clean & jerk \| ilya ilyin (kaz) \| 226 kg \| doha, qatar \| 5 december 2006 row 6 : asian record \| total \| kourosh bagheri ( \| 407 kg \| antalya, turkey \| 9 november 2001 row 7 : games record \| snatch \| bakhyt akhmetov \| 185 kg \| busan, south korea \| 8 october 2002 row 8 : games record \| clean & jerk \| ilya ilyin (kaz) \| 226 kg \| doha, qatar \| 5 december 2006 row 9 : games record \| total \| bakhyt akhmetov \| 400 kg \| busan, south korea \| 8 october 2002 ] Execute this SQL based on the above table: select where = 'clean & jerk'	world record, asian record, games record
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| cuba \| 4 \| 3 \| 2 \| 9 row 2 : 2 \| canada \| 4 \| 2 \| 1 \| 7 row 3 : 3 \| united states \| 2 \| 0 \| 2 \| 4 row 4 : 4 \| mexico \| 1 \| 1 \| 0 \| 2 row 5 : 5 \| ecuador \| 1 \| 0 \| 0 \| 1 row 6 : 6 \| argentina \| 0 \| 4 \| 3 \| 7 row 7 : 7 \| brazil \| 0 \| 2 \| 2 \| 4 row 8 : 8 \| chile \| 0 \| 0 \| 1 \| 1 row 9 : 8 \| venezuela \| 0 \| 0 \| 1 \| 1 row 10 : total \| total \| 12 \| 12 \| 12 \| 36 ] Execute this SQL based on the above table: select nation where id = ( select id where nation = 'brazil' ) + 1	chile
[ header: edition \| year \| men's winner \| time (h:m:s) \| women's winner \| time (h:m:s) row 1 : 1st \| 1983 \| tommy persson (swe) \| 2:24:15 \| None \| None row 2 : 2nd \| 1984 \| steven marwa (tan) \| 2:33:59 \| None \| None row 3 : 4th \| 1986 \| savio d'souza \| 2:31:28 \| karolina szabo (h \| 1:17:09 row 4 : 6th \| 1989 \| yeshwant singh rawat (in \| 2:31:47 \| sunita godhara (ind) \| 2:58:39 row 5 : 9th \| 1992 \| shivkumar yada \| 2:26:34 \| suman mehta (ind) \| 2:51:01 row 6 : 10th \| 1993 \| robert nolan (aus) \| 2:23:23 \| vally sathyab \| 2:47:46 row 7 : 11th \| 1994 \| joshua kipkemboi \| 2:24:35 \| midde hamrin (swe) \| 1:17:19 row 8 : 12th \| 1996 \| joseph kahugu ( \| 2:13:00 \| lukose leelamma \| None row 9 : 13th \| 1997 (jan) \| abhay singh (ind) \| 2:23:08 \| camilla benjaminsson ( \| 1:20:00 row 10 : 14th \| 1997 (dec) \| my tahar echchadl \| 2:25:36 \| zahra akrachi ( \| 1:16:42 row 11 : 15th \| 1999 \| zablon mokaya (ken) \| 2:22:54 \| lyubov fyodor \| 1:29:49 row 12 : 16th \| 2000 \| fedor ryzhov (rus) \| 2:25:17 \| margaret ngotho ( \| 1:18:10 row 13 : 17th \| 2002 \| ambrose makau (ken) \| 2:23:20 \| natalya volgina (rus) \| 1:15:52 row 14 : 18th \| 2003 \| robert kipyego ( \| 2:16:36 \| masila ndunge (ken \| 1:13:49 row 15 : 19th \| 2004 \| douglas gwandaru (ken \| 2:21:22 \| jane muia (ken) \| 1:11:59 row 16 : 20th \| 2005 \| josephat ndeti ( \| 2:19:35 \| nailiya yulamanova \| 1:15:05 row 17 : 21st \| 2006 \| said regragui (swe) \| 2:18:23 \| hellen musyoka (ken) \| 1:13:20 row 18 : 22nd \| 2007 \| philip makau muia ( \| 2:17:32 \| roman gebregessese (eth) \| 1:11:30.4 row 19 : 23rd \| 2008 \| nelson kirwa rot \| 2:17:45 \| caroline kilel (ken) \| 1:10:17 row 20 : 24th \| 2009 \| augustine rono sembri ( \| 2:13:05 \| agnes katunga mutune \| 1:10:30 row 21 : 25th \| 2010 \| gudeta gemechu birat \| 2:13:20 \| birzaf gebre tekele ( \| 2:38:41 ] Execute this SQL based on the above table: select men's winner where edition = '23rd' order by men's winner limit 110	nelson kirwa rotich (ken)
[ 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 position where pick # < ( select pick # where position = 'defensive end' ) order by pick # desc limit 1	quarterback
[ header: painter \| composition \| drawing \| color \| expression row 1 : andrea del sarto \| 12 \| 16 \| 9 \| 8 row 2 : federico barocci \| 14 \| 15 \| 6 \| 10 row 3 : jacopo bassano \| 6 \| 8 \| 17 \| 0 row 4 : giovanni bellini \| 4 \| 6 \| 14 \| 0 row 5 : sebastian bourdon \| 10 \| 8 \| 8 \| 4 row 6 : charles le brun \| 16 \| 16 \| 8 \| 16 row 7 : i carracci \| 15 \| 17 \| 13 \| 13 row 8 : cavalier d'arpino \| 10 \| 10 \| 6 \| 2 row 9 : correggio \| 13 \| 13 \| 15 \| 12 row 10 : daniele da volterra \| 12 \| 15 \| 5 \| 8 row 11 : abraham van diepenbeeck \| 11 \| 10 \| 14 \| 6 row 12 : il domenichino \| 15 \| 17 \| 9 \| 17 row 13 : albrecht durer \| 8 \| 10 \| 10 \| 8 row 14 : giorgione \| 8 \| 9 \| 18 \| 4 row 15 : giovanni da udine \| 10 \| 8 \| 16 \| 3 row 16 : giulio romano \| 15 \| 16 \| 4 \| 14 row 17 : guercino \| 18 \| 10 \| 10 \| 4 row 18 : guido reni \| x \| 13 \| 9 \| 12 row 19 : holbein \| 9 \| 10 \| 16 \| 3 row 20 : jacob jordaens \| 10 \| 8 \| 16 \| 6 row 21 : lucas jordaens \| 13 \| 12 \| 9 \| 6 row 22 : giovanni lanfranco \| 14 \| 13 \| 10 \| 5 row 23 : leonardo da vinci \| 15 \| 16 \| 4 \| 14 row 24 : lucas van leyden \| 8 \| 6 \| 6 \| 4 row 25 : michelangelo \| 8 \| 17 \| 4 \| 8 row 26 : caravaggio \| 6 \| 6 \| 16 \| 0 row 27 : murillo \| 6 \| 8 \| 15 \| 4 row 28 : otho venius \| 13 \| 14 \| 10 \| 10 row 29 : palma il vecchio \| 5 \| 6 \| 16 \| 0 row 30 : palma il giovane \| 12 \| 9 \| 14 \| 6 row 31 : il parmigianino \| 10 \| 15 \| 6 \| 6 row 32 : gianfrancesco penni \| 0 \| 15 \| 8 \| 0 row 33 : perin del vaga \| 15 \| 16 \| 7 \| 6 row 34 : sebastiano del piombo \| 8 \| 13 \| 16 \| 7 row 35 : primaticcio \| 15 \| 14 \| 7 \| 10 row 36 : raphael \| 17 \| 18 \| 12 \| 18 row 37 : rembrandt \| 15 \| 6 \| 17 \| 12 row 38 : rubens \| 18 \| 13 \| 17 \| 17 row 39 : francesco salviati \| 13 \| 15 \| 8 \| 8 row 40 : eustache le sueur \| 15 \| 15 \| 4 \| 15 row 41 : teniers \| 15 \| 12 \| 13 \| 6 row 42 : pietro testa \| 11 \| 15 \| 0 \| 6 row 43 : tintoretto \| 15 \| 14 \| 16 \| 4 row 44 : titian \| 12 \| 15 \| 18 \| 6 row 45 : van dyck \| 15 \| 10 \| 17 \| 13 row 46 : vanius \| 15 \| 15 \| 12 \| 13 row 47 : veronese \| 15 \| 10 \| 16 \| 3 row 48 : taddeo zuccari \| 13 \| 14 \| 10 \| 9 row 49 : federico zuccari \| 10 \| 10 \| 8 \| 8 ] Execute this SQL based on the above table: select painter where color = 0	pietro testa
[ header: city of licence \| analog channel \| digital channel \| virtual channel \| callsign \| network \| notes row 1 : brandon \| 4 \| None \| None \| ckyb-tv \| ctv \| satellite of cky-dt winn row 2 : dauphin \| 12 \| None \| None \| ckyd-tv \| ctv \| satellite of cky-dt winn row 3 : fisher branch \| 8 \| None \| None \| ckya-tv \| ctv \| satellite of cky-dt winn row 4 : flin flon \| 13 \| None \| None \| ckyf-tv \| ctv \| satellite of cky-dt winn row 5 : mccreary \| 13 \| None \| None \| ckyb-tv \| ctv \| satellite of cky-dt winn row 6 : minnedosa \| 2 \| None \| None \| cknd-tv-2 \| global \| None row 7 : the pas \| 12 \| None \| None \| ckyp-tv \| ctv \| satellite of cky-dt winn row 8 : portage la prairie \| None \| 13 \| 13.1 \| chmi-dt \| city \| None row 9 : thompson \| 9 \| None \| None \| ckyt-tv \| ctv \| satellite of cky-dt winn row 10 : winnipeg \| None \| 51 \| 3.1 \| cbwft-dt \| r-c \| None row 11 : winnipeg \| None \| 27 \| 6.1 \| cbwt-dt \| cbc \| None row 12 : winnipeg \| None \| 7 \| 7.1 \| cky-dt \| ctv \| None row 13 : winnipeg \| None \| 40 \| 9.1 \| cknd-dt \| global \| None row 14 : winnipeg \| None \| 13 \| 13.1 \| chmi-dt \| city \| mts tv hd row 15 : winnipeg \| None \| 35 \| 35.1 \| ciit-dt \| religious independent \| None ] Execute this SQL based on the above table: select city of licence order by notes desc limit 1	brandon
[ header: rank \| name \| nationality \| time row 1 : None \| brahim boulami \| morocco \| 8:17.73 row 2 : None \| reuben kosgei \| kenya \| 8:18.63 row 3 : None \| stephen cherono \| kenya \| 8:19.98 row 4 : 4 \| bouabdellah ta \| france \| 8:20.25 row 5 : 5 \| tim broe \| united states \| 8:20.75 row 6 : 6 \| luis miguel martin \| spain \| 8:24.03 row 7 : 7 \| raymond yator \| kenya \| 8:27.19 row 8 : 8 \| thomas chorny \| united states \| 9:24.26 ] Execute this SQL based on the above table: select name order by rank - rank asc limit 1	brahim boulami
[ 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 year >= 6	12
[ header: pos. \| city \| population (ab) \| surface (km2) \| density (ab/km2) \| altitude (mslm) row 1 : 1st \| bergamo \| 121.316 \| 39.6 \| 3064 \| 249 row 2 : 2nd \| treviglio \| 29.334 \| 31.54 \| 930 \| 125 row 3 : 3rd \| seriate \| 25.036 \| 12.41 \| 2017 \| 247 row 4 : 4th \| dalmine \| 23.237 \| 11.6 \| 2003 \| 207 row 5 : 5th \| romano di lombardia \| 19.472 \| 18.03 \| 1080 \| 120 row 6 : 6th \| albino \| 18.232 \| 31.32 \| 582 \| 342 row 7 : 7th \| caravaggio \| 16.258 \| 32.81 \| 496 \| 111 row 8 : 8th \| alzano lombardo \| 13.821 \| 13.43 \| 1029 \| 304 row 9 : 9th \| stezzano \| 12.999 \| 9.25 \| 1405 \| 211 row 10 : 10th \| osio sotto \| 12.083 \| 7.45 \| 1622 \| 182 ] Execute this SQL based on the above table: select ( select density (ab/km2) where city = 'alzano lombardo' ) - ( select density (ab/km2) where city = 'alzano lombardo' )	0.0
[ header: week \| date \| opponent \| result \| venue \| attendance row 1 : 1 \| september 3, 1978 \| at detroit lions \| w 13-7 \| pontiac silverdome \| 51187 row 2 : 2 \| september 10, 1978 \| new orleans saints \| w 28-17 \| milwaukee county stadium \| 54336 row 3 : 3 \| september 17, 1978 \| oakland raiders \| l 28-3 \| lambeau field \| 55903 row 4 : 4 \| september 24, 1978 \| at san diego chargers \| w 24-3 \| san diego stadium \| 42755 row 5 : 5 \| october 1, 1978 \| detroit lions \| w 35-14 \| milwaukee county stadium \| 54601 row 6 : 6 \| october 8, 1978 \| chicago bears \| w 24-14 \| lambeau field \| 56267 row 7 : 7 \| october 15, 1978 \| seattle seahawks \| w 45-28 \| milwaukee county stadium \| 52712 row 8 : 8 \| october 22, 1978 \| at minnesota vikings \| l 21-7 \| metropolitan stadium \| 47411 row 9 : 9 \| october 29, 1978 \| tampa bay buccaneers \| w 9-7 \| lambeau field \| 55108 row 10 : 10 \| november 5, 1978 \| at philadelphia eagle \| l 10-3 \| veterans stadium \| 64214 row 11 : 11 \| november 12, 1978 \| dallas cowboys \| l 42-14 \| milwaukee county stadium \| 55256 row 12 : 12 \| november 19, 1978 \| at denver broncos \| l 16-3 \| mile high stadium \| 74965 row 13 : 13 \| november 26, 1978 \| minnesota vikings \| t 10-10 (ot) \| lambeau field \| 51737 row 14 : 14 \| december 3, 1978 \| at tampa bay buccaneers \| w 17-7 \| tampa stadium \| 67754 row 15 : 15 \| december 10, 1978 \| at chicago bears \| l 14-0 \| soldier field \| 34306 row 16 : 16 \| december 17, 1978 \| at los angeles rams \| l 31-14 \| los angeles memorial coliseum \| 42500 ] Execute this SQL based on the above table: select abs ( ( select attendance where opponent = 'tampa bay buccaneers' ) - ( select attendance where opponent = 'detroit lions' ) )	507.0
[ header: no \| date \| race \| track \| winner \| reports row 1 : 1 \| 02-09-2008 \| daytona arca 200 \| daytona \| michael annett \| report row 2 : 2 \| 04-13-2008 \| kentuckiana ford dealers 200 \| salem speedway \| justin allgaier \| report row 3 : 3 \| 04-19-2008 \| prairie meadows 250 \| iowa speedway \| matt hawkins \| report row 4 : 4 \| 04-25-2008 \| kansas lottery $150 grand \| kansas speedway \| scott speed \| report row 5 : 5 \| 05-04-2008 \| carolina 500 \| rockingham \| joey logano \| report row 6 : 6 \| 05-10-2008 \| drive smart! 150 \| kentucky \| ricky stenhouse, jr \| report row 7 : 7 \| 05-18-2008 \| hantz group 200 \| toledo \| matt carter \| report row 8 : 8 \| 06-07-2008 \| pocono 200 \| pocono \| ricky stenhouse, jr \| report row 9 : 9 \| 06-14-2008 \| racing for wildlife 200 \| michigan \| justin lofton \| report row 10 : 10 \| 06-29-2008 \| cayuga arca re/max \| cayuga \| justin allgaier \| report row 11 : 11 \| 07-18-2008 \| kentucky 150 \| kentucky \| scott speed \| report row 12 : 12 \| 07-26-2008 \| berlin arca 200 \| berlin \| scott speed \| report row 13 : 13 \| 08-02-2008 \| pennsylvania 200 \| pocono \| justin allgaier \| report row 14 : 14 \| 08-09-2008 \| toyota arca 150 \| nashville ss \| scott speed \| report row 15 : 15 \| 08-17-2008 \| allen crowe 100 \| springfield \| frank kimmel \| report row 16 : 16 \| 09-01-2008 \| southern illinois 100 \| duquoin \| frank kimmel \| report row 17 : 17 \| 09-06-2008 \| chicagoland arca 200 \| chicagoland \| scott lagasse jr \| report row 18 : 18 \| 09-13-2008 \| eddie gilstrap motors \| salem \| frank kimmel \| report row 19 : 19 \| 09-28-2008 \| loud energy drink 150 \| njmp \| justin allgaier \| report row 20 : 20 \| 10-03-2008 \| food world 250 \| talladega \| justin allgaier \| report row 21 : 21 \| 10-12-2008 \| toledo arca 200 \| toledo \| justin allgaier \| report ] Execute this SQL based on the above table: select winner order by no limit 1	michael annett
[ header: no. \| date/time \| aircraft \| foe \| result \| location \| notes row 1 : u/c \| 14 june 1917 \| nieuport 17 \| enemy aircraft \| None \| mount verena \| victory originally confirmed, but disallowed postwar row 2 : 1 \| 25 october 1917 @ 0800 \| None \| enemy aircraft \| forced to land \| marcesina \| None row 3 : 2 \| 7 november 1917 circa 1615 hours \| None \| enemy aircraft \| forced to land \| fonsazo \| awarded silver medal for military valor row 4 : 3 \| 7 december 1917 @ 1130 hours \| None \| enemy aircraft \| None \| val d'assa \| None row 5 : 4 \| 13 december 1917 ca. 1130 hours \| None \| enemy aircraft \| None \| asiago \| None row 6 : 5 \| 30 january 1918 @ 1000 hours \| None \| enemy two-seater \| None \| col d'eshele, \| awarded silver medal for military valor row 7 : u/c \| 4 february 1918 ca. 1100 hours \| None \| black enemy fighter craft \| None \| valstagna \| claim shared with antonio reali row 8 : 6 \| 5 february 1918 ca. 0830 hours \| None \| enemy two-seater \| forced to land \| case girardi \| shared with marziale cerutti row 9 : 7 \| 13 february 1918 @ 0915 hours \| None \| enemy fighter \| None \| marcesina \| None row 10 : u/c \| 24 february 1918 \| None \| enemy aircraft \| None \| mount grappa \| None row 11 : 8 \| 4 may 1918 @ 0850 hours \| nieuport 27 \| enemy aircraft \| None \| montello \| austro-hungarians reported no matching loss row 12 : 9 \| 4 may 1918 @ 1025 hours \| nieuport 27 \| enemy fighter \| None \| montello \| austro-hungarians reported no matching loss ] Execute this SQL based on the above table: select date/time where id = 2	25 october 1917 @ 0800 hours
[ header: year \| competition \| venue \| position \| notes row 1 : 2002 \| world junior championships \| kingston, jamaica \| 1st \| 64.51 m (1.75 kg) row 2 : 2002 \| asian games \| busan, south korea \| 1st \| 60.76 m row 3 : 2003 \| universiade \| daegu, south korea \| 1st \| 62.32 m row 4 : 2003 \| asian championships \| manila, philippines \| 1st \| 61.43 m row 5 : 2004 \| olympic games \| athens, greece \| 18th (q) \| 60.60 m row 6 : 2005 \| world championships \| helsinki, finland \| 18th (q) \| 61.75 m row 7 : 2005 \| universiade \| izmir, turkey \| 7th \| 59.67 m row 8 : 2005 \| east asian games \| macau \| 1st \| 61.74 m row 9 : 2006 \| asian games \| doha, qatar \| 5th \| 58.54 m row 10 : 2009 \| asian championships \| guangzhou, china \| 3rd \| 59.27 m ] Execute this SQL based on the above table: select competition where position = '3rd' group by competition order by count ( * ) desc limit 1	asian championships
[ 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 nationality where round = 1	united states, united states, united states, united states, united states
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1996 \| world junior championships \| sydney, australia \| 8th \| 200 m \| 23.89 row 2 : 1996 \| olympic games \| atlanta, united states \| 11th (sf) \| 4x100 m relay \| 44.21 row 3 : 1997 \| european junior championships \| ljubljana, s \| 1st \| 100 m \| 11.39 row 4 : 1997 \| european junior championships \| ljubljana, s \| 3rd \| 200 m \| 23.43 row 5 : 1997 \| world championships \| athens, greece \| 36th (h) \| 100 m \| 11.59 row 6 : 1998 \| world junior championships \| annecy, france \| 8th (sf) \| 100 m \| 11.75 row 7 : 1998 \| european championships \| budapest, hungary \| 27th (h) \| 200 m \| 24.1 row 8 : 1998 \| european championships \| budapest, hungary \| 6th \| 4x100 m relay \| 44.1 row 9 : 1999 \| european junior championships \| riga, latvia \| 2nd \| 100 m \| 11.47 row 10 : 1999 \| european junior championships \| riga, latvia \| 2nd \| 200 m \| 23.26 row 11 : 1999 \| european junior championships \| riga, latvia \| 2nd \| 4x100 m relay \| 44.4 row 12 : 1999 \| world championships \| seville, spain \| 24th (qf) \| 100 m \| 11.45 row 13 : 1999 \| world championships \| seville, spain \| 10th (h) \| 4x100 m relay \| 43.86 row 14 : 2000 \| european indoor championships \| ghent, belgium \| 21st (h) \| 60 m \| 7.4 row 15 : 2000 \| european indoor championships \| ghent, belgium \| 12th (sf) \| 200 m \| 23.83 row 16 : 2000 \| olympic games \| sydney, australia \| 12th (sf) \| 4x100 m relay \| 43.5 row 17 : 2001 \| european u23 championships \| amsterdam, netherlands \| 1st \| 100 m \| 11.61 row 18 : 2001 \| european u23 championships \| amsterdam, netherlands \| 1st \| 4x100 m relay \| 44.76 row 19 : 2001 \| world championships \| edmonton, canada \| 12th (sf) \| 100 m \| 11.46 row 20 : 2002 \| european championships \| munich, germany \| 20th (h) \| 100 m \| 11.58 row 21 : 2003 \| world championships \| paris, france \| 23rd (qf) \| 200 m \| 23.42 row 22 : 2004 \| world indoor championships \| budapest, hungary \| 13th (sf) \| 60 m \| 7.3 row 23 : 2004 \| world indoor championships \| budapest, hungary \| 10th (h) \| 200 m \| 23.79 row 24 : 2006 \| european championships \| gothenburg, sweden \| 11th (h) \| 4x100 m relay \| 44.32 row 25 : 2007 \| european indoor championships \| birmingham, united kingdom \| 5th (sf) \| 60 m \| 7.24 row 26 : 2007 \| universiade \| bangkok, thailand \| 1st \| 100 m \| 11.46 row 27 : 2007 \| universiade \| bangkok, thailand \| 1st \| 4x100 m relay \| 43.48 row 28 : 2007 \| world championships \| osaka, japan \| 32nd (h) \| 100 m \| 11.52 row 29 : 2007 \| world championships \| osaka, japan \| 10th (h) \| 4x100 m relay \| 43.41 ] Execute this SQL based on the above table: select venue where venue in ( '11.52' , 'ghent, belgium' ) order by year limit 2006	ghent, belgium, ghent, belgium
[ header: season \| series \| team \| races \| wins \| poles \| f/lap \| podiums \| points \| position row 1 : 2009 \| star mazda championship \| andersen racing \| 13 \| 1 \| 1 \| 3 \| 6 \| 416 \| 3rd row 2 : 2010 \| star mazda championship \| juncos racing \| 13 \| 7 \| 9 \| 7 \| 12 \| 539 \| 1st row 3 : 2011 \| indy lights \| sam schmidt motorsports \| 5 \| 1 \| 1 \| 2 \| 2 \| 145 \| 13th row 4 : 2011 \| gp3 series \| carlin motorsport \| 16 \| 0 \| 0 \| 0 \| 0 \| 10 \| 17th row 5 : 2012 \| gp3 series \| lotus gp \| 16 \| 1 \| 0 \| 0 \| 5 \| 106 \| 6th row 6 : 2012 \| masters of formula 3 \| double r racing \| 1 \| 0 \| 0 \| 0 \| 0 \| None \| 15th row 7 : 2012-13 \| mrf challenge formula 2000 \| mrf challenge \| 10 \| 4 \| 0 \| 1 \| 6 \| 164 \| 1st row 8 : 2013 \| gp2 series \| hilmer motorsport \| 2 \| 0 \| 0 \| 0 \| 0 \| 2 \| 26th row 9 : 2013 \| gp3 series \| art grand prix \| 16 \| 1 \| 1 \| 1 \| 6 \| 126 \| 3rd row 10 : 2013 \| indycar series \| a.j. foyt enterprises \| 1 \| 0 \| 0 \| 0 \| 0 \| 11 \| 34th row 11 : 2013 \| indy lights \| team moore racing \| 1 \| 0 \| 0 \| 0 \| 1 \| 35 \| 13th ] Execute this SQL based on the above table: select series where id = ( select id where season = 2013 ) + 1	gp3 series
[ header: pos. \| driver \| co-driver \| car \| time \| difference \| points row 1 : 1 \| raffaele pinto \| arnaldo bernacchini \| fiat abarth 124 rallye \| 6:26:15 \| 0 \| 20 row 2 : 2 \| alcide paganelli \| ninni russo \| fiat abarth 124 rallye \| 6:30:12 \| 3.57 \| None row 3 : 3 \| markku alen \| ilkka kivimaki \| fiat abarth 124 rallye \| 6:37:17 \| 11.02 \| None row 4 : 4 \| ove andersson \| arne hertz \| toyota corolla \| 6:40:54 \| 14.39 \| 10 row 5 : 5 \| harry kallstrom \| claes billstam \| datsun 260z \| 6:54:27 \| 28.12 \| 8 row 6 : 6 \| bob neyret \| yveline vanoni \| alpine-renault a110 1800 \| 7:04:18 \| 38.03 \| 6 row 7 : 7 \| georg fischer \| harald gottlieb \| bmw 2002 \| 7:05:02 \| 38.47 \| 4 row 8 : 8 \| francisco romaozinho \| jose bernardo \| citroen gs \| 7:17:04 \| 50.49 \| 3 row 9 : 9 \| chris sclater \| neil wilson \| ford escort rs1 \| 7:26:59 \| 1:00.44 \| 2 row 10 : 10 \| antonio borges \| miguel sottomayor \| fiat 124 sport spyder \| 7:27:55 \| 1:01.40 \| None ] Execute this SQL based on the above table: select points where difference = 0	20.0
[ header: rank \| airport \| passengers handled \| % change 2011 / 12 row 1 : 1 \| netherlands - amsterdam \| 105349 \| None row 2 : 2 \| united kingdom - belfast-international \| 92502 \| None row 3 : 3 \| portugal - faro \| 71676 \| None row 4 : 4 \| spain - barcelona \| 66565 \| None row 5 : 5 \| spain - alicante \| 64090 \| None row 6 : 6 \| spain - malaga \| 59175 \| None row 7 : 7 \| ireland - dublin \| 35524 \| None row 8 : 8 \| jersey - jersey \| 35169 \| 1128 row 9 : 9 \| ireland - waterford \| 31907 \| 25 row 10 : 10 \| spain - palma de mallorca \| 27718 \| None ] Execute this SQL based on the above table: select airport where rank = ( select rank where airport = 'spain - alicante' ) - 1	spain - barcelona
[ header: year \| host \| champion \| second place \| third place \| fourth place row 1 : 2005 \| ninh binh \| tianjin bridgestone \| chung shan \| korea highway corporation \| rahat cska row 2 : 2006 \| manila \| tianjin bridgestone \| chung shan \| sang som \| rahat cska row 3 : 2008 \| vinh phuc \| tianjin bridgestone \| sang som \| toray arrows \| sobaeksu row 4 : 2009 \| nakhon pathom \| federbrau \| tianjin bridgestone \| toray arrows \| zhetysu almaty row 5 : 2010 \| gresik \| federbrau \| zhetysu almaty \| jt marvelous \| tianjin bridgestone row 6 : 2011 \| vinh phuc \| chang \| tianjin bridgestone \| zhetysu almaty \| thong tin lien viet bank row 7 : 2012 \| nakhon ratchasima \| tianjin bridgestone \| toray arrows \| chang \| zhetysu almaty ] Execute this SQL based on the above table: select count ( second place ) where fourth place = 'federbrau'	0
[ header: language \| number \| percentage (%) \| males \| females row 1 : polish \| 447685 \| 80.86 \| 216794 \| 230891 row 2 : yiddish \| 51215 \| 9.25 \| 24538 \| 26677 row 3 : german \| 35931 \| 6.49 \| 17409 \| 18522 row 4 : russian \| 15137 \| 2.73 \| 13551 \| 1586 row 5 : ukrainian \| 2350 \| 0.42 \| 2302 \| 48 row 6 : other \| 1285 \| 0.23 \| 1041 \| 244 row 7 : persons that didn't name their native language \| 27 \| >0.01 \| 14 \| 13 row 8 : total \| 553633 \| 100 \| 275652 \| 277981 ] Execute this SQL based on the above table: select percentage (%) order by language desc limit 1	9.25
[ header: year \| song \| u.s. \| u.s. r&b \| u.s. ac \| uk \| album row 1 : 1986 \| "strollin' on" \| None \| None \| None \| 32 \| intentions row 2 : 1986 \| "in the springtime" \| None \| None \| None \| 54 \| you're safe row 3 : 1986 \| "crazy love" \| None \| None \| None \| 67 \| intentions row 4 : 1987 \| "let me know" \| None \| None \| None \| 49 \| intentions row 5 : 1987 \| "woman in you" \| None \| None \| None \| None \| intentions row 6 : 1987 \| "some guys have all the luck" \| None \| None \| None \| 12 \| None row 7 : 1989 \| "wild world" \| 25 \| None \| None \| 5 \| maxi priest row 8 : 1990 \| "human work of art" \| None \| None \| None \| 71 \| bonafide row 9 : 1990 \| "close to you" \| 1 \| 2 \| 15 \| 7 \| bonafide row 10 : 1990 \| "just a little bit longer" \| 62 \| 30 \| None \| 62 \| bonafide row 11 : 1991 \| "space in my heart" \| None \| 76 \| None \| None \| bonafide row 12 : 1991 \| "set the night to music" (with \| 6 \| 45 \| 2 \| None \| set the night to music (roberta row 13 : 1992 \| "groovin' in the midnight" \| 63 \| 29 \| None \| 50 \| fe real row 14 : 1993 \| "one more chance" \| None \| 77 \| None \| 40 \| fe real row 15 : 1996 \| "that girl" (with shaggy) \| 20 \| 34 \| None \| 15 \| man with the fun row 16 : 1996 \| "watching the world go by" \| None \| None \| None \| 36 \| man with the fun row 17 : 2009 \| "2 play feat maxi priest - that \| None \| None \| None \| None \| None ] Execute this SQL based on the above table: select sum ( uk ) where u.s. r&b = 77	40.0
[ header: song \| artist(s) \| concert \| film \| 1978 album \| 2002 album row 1 : "up on cripple creek" \| the band \| 1 \| 3 \| 2 \| 2 row 2 : "it makes no difference" \| the band \| 3 \| 6 \| 8 \| 4 row 3 : "this wheel's on fire" \| the band \| 5 \| None \| None \| 10 row 4 : "w.s. walcott medicine show \| the band \| 6 \| None \| None \| 26 row 5 : "georgia on my mind" \| the band \| 7 \| None \| None \| None row 6 : "ophelia" \| the band \| 8 \| 20 \| 16 \| 18 row 7 : "king harvest (has surely come)" \| the band \| 9 \| None \| None \| None row 8 : "rag mama rag" \| the band \| 12 \| None \| None \| 15 row 9 : "such a night" \| dr. john \| 14 \| 8 \| 9 \| 7 row 10 : "down south in new orleans" \| bobby charles and dr \| 15 \| None \| 15 \| 9 row 11 : "mystery train" \| paul butterfield \| 16 \| 15 \| 11 \| 11 row 12 : "caldonia" \| muddy waters \| 17 \| None \| None \| 12 row 13 : "all our past times" \| eric clapton \| 19 \| None \| None \| 16 row 14 : "further on up the road" \| eric clapton \| 20 \| 17 \| 13 \| 17 row 15 : "four strong winds" \| neil young \| 22 \| None \| None \| 20 row 16 : "shadows and light" \| joni mitchell \| 24 \| None \| None \| 22 row 17 : "furry sings the blues" \| joni mitchell \| 25 \| None \| None \| 23 row 18 : "dry your eyes" \| neil diamond \| 26 \| 13 \| 7 \| 25 row 19 : "tura lura lural (that \| van morrison \| 27 \| None \| 17 \| 27 row 20 : "caravan" \| van morrison \| 28 \| 21 \| 18 \| 28 row 21 : "genetic method"/"chest fever \| the band \| 30 \| 19 \| None \| 30 row 22 : "the last waltz suite: \| the band \| 31 \| None \| None \| None row 23 : "baby, let me follow you down" \| bob dylan \| 33 \| None \| 20 \| 31 row 24 : "hazel" \| bob dylan \| 34 \| None \| None \| 32 row 25 : "i don't believe you" \| bob dylan \| 35 \| None \| 21 \| 33 row 26 : "forever young" \| bob dylan \| 36 \| 23 \| 22 \| 34 row 27 : "jam #2" \| neil young, ronnie \| 40 \| None \| None \| 38 row 28 : "don't do it" \| the band \| 41 \| 1 \| None \| 39 row 29 : "greensleeves" \| the band \| 42 \| None \| None \| 40 row 30 : introduction to the canterbury tales in \| michael mcclure \| None \| 7 \| None \| None row 31 : "the weight" (studio version) \| the band and the staple singers \| None \| 11 \| 29 \| 44 row 32 : "evangeline" (studio version) \| the band and emmylou \| None \| 18 \| 27 \| None row 33 : "loud prayer" \| lawrence ferlinghetti \| None \| 22 \| None \| None ] Execute this SQL based on the above table: select artist(s) order by film limit 1	the band
[ header: rank \| name \| nationality \| time row 1 : None \| brahim boulami \| morocco \| 8:17.73 row 2 : None \| reuben kosgei \| kenya \| 8:18.63 row 3 : None \| stephen cherono \| kenya \| 8:19.98 row 4 : 4 \| bouabdellah ta \| france \| 8:20.25 row 5 : 5 \| tim broe \| united states \| 8:20.75 row 6 : 6 \| luis miguel martin \| spain \| 8:24.03 row 7 : 7 \| raymond yator \| kenya \| 8:27.19 row 8 : 8 \| thomas chorny \| united states \| 9:24.26 ] Execute this SQL based on the above table: select name where name = 'brahim boulami'	brahim boulami
[ header: pick \| player \| team \| position \| school row 1 : 1 \| ben mcdonald \| baltimore orioles \| rhp \| louisiana state university row 2 : 2 \| tyler houston \| atlanta braves \| c \| valley hs (las vegas row 3 : 3 \| roger salkeld \| seattle mariners \| rhp \| saugus (ca) hs row 4 : 4 \| jeff jackson \| philadelphia phillies \| of \| simeon hs (chicago row 5 : 5 \| donald harris \| texas rangers \| of \| texas tech university row 6 : 6 \| paul coleman \| saint louis cardinals \| of \| frankston (tx) h row 7 : 7 \| frank thomas \| chicago white sox \| 1b \| auburn university row 8 : 8 \| earl cunningham \| chicago cubs \| of \| lancaster (sc) hs row 9 : 9 \| kyle abbott \| california angels \| lhp \| long beach state university row 10 : 10 \| charles johnson \| montreal expos \| c \| westwood hs (fort pier row 11 : 11 \| calvin murray \| cleveland indians \| 3b \| w.t. white high school (d row 12 : 12 \| jeff juden \| houston astros \| rhp \| salem (ma) hs row 13 : 13 \| brent mayne \| kansas city royals \| c \| cal state fullerton row 14 : 14 \| steve hosey \| san francisco giants \| of \| fresno state university row 15 : 15 \| kiki jones \| los angeles dodgers \| rhp \| hillsborough hs (tampa, row 16 : 16 \| greg blosser \| boston red sox \| of \| sarasota (fl row 17 : 17 \| cal eldred \| milwaukee brewers \| rhp \| university of iowa row 18 : 18 \| willie greene \| pittsburgh pirates \| ss \| jones county hs (gray row 19 : 19 \| eddie zosky \| toronto blue jays \| ss \| fresno state university row 20 : 20 \| scott bryant \| cincinnati reds \| of \| university of texas row 21 : 21 \| greg gohr \| detroit tigers \| rhp \| santa clara university row 22 : 22 \| tom goodwin \| los angeles dodgers \| of \| fresno state university row 23 : 23 \| mo vaughn \| boston red sox \| 1b \| seton hall university row 24 : 24 \| alan zinter \| new york mets \| c \| university of arizona row 25 : 25 \| chuck knoblauch \| minnesota twins \| 2b \| texas a&m university row 26 : 26 \| scott burrell \| seattle mariners \| rhp \| hamden (ct) hs ] Execute this SQL based on the above table: select count ( * ) where team = 'chicago white sox'	1
[ header: season \| tier \| division \| place row 1 : 1992-96 \| 5 \| regional \| None row 2 : 1996/97 \| 4 \| 3a \| 16th row 3 : 1997/98 \| 4 \| 3a \| 5th row 4 : 1998/99 \| 4 \| 3a \| 12th row 5 : 1999/00 \| 4 \| 3a \| 4th row 6 : 2000/01 \| 4 \| 3a \| 6th row 7 : 2001/02 \| 4 \| 3a \| 4th row 8 : 2002/03 \| 4 \| 3a \| 3rd row 9 : 2003/04 \| 3 \| 2ab \| 19th row 10 : 2004/05 \| 4 \| 3a \| 2nd ] Execute this SQL based on the above table: select place where place != '2nd' and division = ( select division where place = '2nd' )	16th, 5th, 12th, 4th, 6th, 4th, 3rd

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inputs stringlengths 291 3.71k	targets stringlengths 1 2.65k
[ header: games \| host city \| dates \| nations \| participants \| events row 1 : 1904 summer olympics \| st. louis, missouri \| 1 july - 23 november \| 12 \| 651 \| 91 row 2 : 1932 winter olympics \| lake placid, new york \| 7 - 15 february \| 17 \| 252 \| 14 row 3 : 1932 summer olympics \| los angeles, californi \| 30 july - 14 august \| 37 \| 1332 \| 117 row 4 : 1960 winter olympics \| squaw valley, californ \| 2 - 20 february \| 30 \| 665 \| 27 row 5 : 1980 winter olympics \| lake placid, new york \| 13 - 24 february \| 37 \| 1072 \| 38 row 6 : 1984 summer olympics \| los angeles, californi \| 20 july - 18 august \| 140 \| 6829 \| 221 row 7 : 1996 summer olympics \| atlanta, georgia \| 18 july - 4 august \| 197 \| 1318 \| 271 row 8 : 2002 winter olympics \| salt lake city, utah \| 8 - 24 february \| 77 \| 2399 \| 78 ] Execute this SQL based on the above table: select games where nations = 140	1984 summer olympics
[ header: party \| candidate \| votes \| % \| ∆% row 1 : conservative \| joe daniel \| 14422 \| 36.78 \| 5.78 row 2 : liberal \| yasmin ratansi \| 13552 \| 34.56 \| -13.51 row 3 : new democratic \| mary trapani hynes \| 9878 \| 25.19 \| 11.87 row 4 : green \| akil sadikali \| 1114 \| 2.84 \| -4.05 row 5 : christian heritage \| ryan kidd \| 246 \| 0.63 \| -0.07 row 6 : total valid votes \| total valid votes \| 39212 \| 100 \| None row 7 : total rejected ballots \| total rejected ballots \| 218 \| 0.55 \| None row 8 : turnout \| turnout \| 39430 \| 57.24 \| None row 9 : eligible voters \| eligible voters \| 68890 \| None \| None ] Execute this SQL based on the above table: select sum ( % )	257.79
[ header: character \| м \| м \| м \| м row 1 : unicode name \| cyrillic capital letter e \| cyrillic capital letter e \| cyrillic small letter e \| cyrillic small letter e row 2 : encodings \| decimal \| hex \| decimal \| hex row 3 : unicode \| 1052 \| u+041c \| 1084 \| u+043c row 4 : utf-8 \| 208 156 \| d0 9c \| 208 188 \| d0 bc row 5 : numeric character reference \| М \| М \| м \| м row 6 : koi8-r and k \| 237 \| ed \| 205 \| cd row 7 : code page 855 \| 211 \| d3 \| 210 \| d2 row 8 : code page 866 \| 140 \| 8c \| 172 \| ac row 9 : windows-1251 \| 204 \| cc \| 236 \| ec row 10 : iso-8859-5 \| 188 \| bc \| 220 \| dc row 11 : macintosh cyril \| 140 \| 8c \| 236 \| ec ] Execute this SQL based on the above table: select character where м = 0 and м = 0	utf-8
[ header: year \| title \| role \| notes row 1 : 2014 \| and so it goes \| producer \| starring michael douglas and row 2 : 2011 \| flypaper \| producer \| starring patrick dempsey and row 3 : 2007 \| captivity \| producer \| None row 4 : 2006 \| o jerusalem \| producer \| None row 5 : 2005 \| the upside of anger \| executive producer \| starring kevin costner and jo row 6 : 2004 \| beyond the sea \| executive producer \| starring kevin spacey row 7 : 2004 \| the i inside \| producer \| None row 8 : 2003 \| monster \| producer \| starring charlize theron academy row 9 : 2003 \| 11:14 \| executive producer \| None row 10 : 2002 \| extreme ops \| executive producer \| None row 11 : 2001 \| the musketeer \| executive producer \| None row 12 : 2001 \| the body \| executive producer \| None row 13 : 1997 \| the blackout \| executive producer \| None row 14 : 1996 \| the winner \| executive producer \| None row 15 : 1993 \| stalingrad \| executive producer \| None row 16 : 1991 \| diary of a hitman \| executive producer \| None row 17 : 1990 \| vietnam, texas \| executive producer \| None row 18 : 1989 \| wild orchid \| producer \| starring mickey rourke row 19 : 1988 \| high spirits \| executive producer \| None row 20 : 1988 \| mac and me \| executive producer \| None row 21 : 1986 \| flight of the navigator \| executive producer \| None row 22 : 1986 \| short circuit \| executive producer \| None row 23 : 1986 \| 9 1/2 weeks \| producer \| starring mickey rourke and row 24 : 1984 \| metropolis \| sales agent \| directed by fritz lang row 25 : 1984 \| the neverending story \| executive producer \| directed by wolfgang petersen row 26 : 1977 \| the choirboys \| executive producer \| None row 27 : 1974 \| there is no 13 \| george thomas \| None row 28 : 1973 \| "hannah, queen of the vampires" \| peter \| None row 29 : 1973 \| the devil's wedding night \| karl schiller \| None row 30 : 1973 \| little mother \| riano \| None row 31 : 1972 \| byleth - il demone de \| duke lionello shandwell \| None row 32 : 1972 \| i leoni di pietroburgo \| eldar \| None row 33 : 1972 \| confessioni segrete di un convento di \| domenico \| None row 34 : 1972 \| they call him veritas \| veritas \| None row 35 : 1971 \| l'arciere di fuoco \| allen \| None row 36 : 1971 \| pistol packin' preacher \| slim \| None row 37 : 1968 \| dead men don't count \| johnny dalton \| None row 38 : 1967 \| requiescant \| george ferguson \| also starring pier paolo pas row 39 : 1966 \| johnny oro \| johnny oro/ringo \| directed by sergio corbucci row 40 : 1964 \| son of cleopatra \| el kebir \| None row 41 : 1964 \| i cento cavalieri \| don fernando herrera y \| None row 42 : 1963 \| the tyrant of castile \| pietro i: re di castigl \| None row 43 : 1963 \| the young racers \| stephen children \| directed by roger corman row 44 : 1962 \| the reluctant saint \| aldo \| directed by edward dmytry row 45 : 1962 \| the longest day \| pvt. harris \| also starring richard burton and se row 46 : 1962 \| beauty and the beast \| eduardo \| None ] Execute this SQL based on the above table: select count ( role ) where year < 13	0
[ header: election \| name of the party/alliance \| number of votes \| percentage \| seats in the parliament row 1 : 2010 \| partidul popular crestin democrat (ppcd \| 9046 \| 0.53% \| None row 2 : 29 july 2009 \| partidul popular crestin democrat (ppcd \| 30173 \| 1.91% \| None row 3 : 5 april 2009 \| partidul popular crestin democrat (ppcd \| 46549 \| 3.03% \| None row 4 : 6 march 2005 \| partidul popular crestin democrat (ppcd \| 141341 \| 9.07% \| 11 row 5 : 25 february 2001 \| partidul popular crestin democrat (ppcd \| 130810 \| 8.24% \| 11 row 6 : 22 march 1998 \| blocul electoral "conventia democrat \| 315206 \| 19.42% \| 26 row 7 : 27 february 1994 \| blocul electoral "alianta frontului popular \| 133606 \| 7.53% \| 9 ] Execute this SQL based on the above table: select seats in the parliament where election = '22 march 1998' order by seats in the parliament asc limit 1241	26
[ header: year \| award \| category \| title \| result row 1 : 1955 \| academy award \| best actor \| marty \| won row 2 : 1955 \| bafta award \| best foreign actor \| marty \| won row 3 : 1955 \| golden globe award \| best actor - motion picture drama \| marty \| won row 4 : 1955 \| nbr award \| best actor \| marty \| won row 5 : 1955 \| nyfcc award \| best actor \| marty \| won row 6 : 1962 \| emmy award \| outstanding continued performance by an actor in a series \| mchale's navy \| nominated row 7 : 1979 \| emmy award \| outstanding supporting actor in a limited series or \| all quiet on the western front \| nominated row 8 : 1999 \| daytime emmy award \| outstanding performer in an animated program \| all dogs go to heaven: the series \| nominated row 9 : 2007 \| golden globe award \| best performance by an actor in a mini- \| a grandpa for christmas \| nominated row 10 : 2009 \| emmy award \| outstanding guest actor - drama \| er \| nominated row 11 : 2009 \| lifetime achievement award \| from the rhode island international film \| None \| won row 12 : 2011 \| screen actors guild life achievement award \| from the screen actors guild \| None \| won ] Execute this SQL based on the above table: select count ( * ) where year <= 1962 and year = 1955	5
[ header: pos. \| city \| population (ab) \| surface (km2) \| density (ab/km2) \| altitude (mslm) row 1 : 1st \| bergamo \| 121.316 \| 39.6 \| 3064 \| 249 row 2 : 2nd \| treviglio \| 29.334 \| 31.54 \| 930 \| 125 row 3 : 3rd \| seriate \| 25.036 \| 12.41 \| 2017 \| 247 row 4 : 4th \| dalmine \| 23.237 \| 11.6 \| 2003 \| 207 row 5 : 5th \| romano di lombardia \| 19.472 \| 18.03 \| 1080 \| 120 row 6 : 6th \| albino \| 18.232 \| 31.32 \| 582 \| 342 row 7 : 7th \| caravaggio \| 16.258 \| 32.81 \| 496 \| 111 row 8 : 8th \| alzano lombardo \| 13.821 \| 13.43 \| 1029 \| 304 row 9 : 9th \| stezzano \| 12.999 \| 9.25 \| 1405 \| 211 row 10 : 10th \| osio sotto \| 12.083 \| 7.45 \| 1622 \| 182 ] Execute this SQL based on the above table: select city group by city order by count ( * ) desc limit 1	treviglio
[ header: year \| title \| role \| notes row 1 : 1987 \| frog \| kathy \| television movie row 2 : 1988 \| platinum blonde \| None \| short film row 3 : 1992 \| saved by the bell: hawaii \| jessie spano \| television movie row 4 : 1994 \| molly & gina \| kimberly sweeny \| None row 5 : 1994 \| bandit: bandit goes country \| beth \| television movie row 6 : 1994 \| saved by the bell: wedding in las \| jessie spano \| television movie row 7 : 1995 \| white wolves ii: legend of the \| crystal \| None row 8 : 1995 \| showgirls \| nomi malone \| golden raspberry award for worst actress golden raspberry award for row 9 : 1996 \| the first wives club \| phoebe lavelle \| national board of review award for best cast row 10 : 1997 \| a time to revenge \| tiffany whittmar \| scenes deleted row 11 : 1997 \| armitage iii \| naomi armitage ( \| video row 12 : 1997 \| the real blonde \| tina \| None row 13 : 1998 \| random encounter \| alicia 'allie' bray \| None row 14 : 1999 \| taxman \| nadia rubakov \| None row 15 : 1999 \| africa \| barbara craig \| None row 16 : 1999 \| last call \| helena \| None row 17 : 1999 \| tail lights fade \| eve \| None row 18 : 1999 \| any given sunday \| mandy murphy \| None row 19 : 2000 \| becoming dick \| maggie \| television movie row 20 : 2001 \| the curse of the jade scorpion \| jill \| None row 21 : 2001 \| the elevator \| celeste \| television movie row 22 : 2001 \| the shipment \| candy colucci \| None row 23 : 2002 \| cover story \| samantha noble \| None row 24 : 2002 \| roger dodger \| andrea \| None row 25 : 2003 \| detonator \| jane dreyer \| None row 26 : 2003 \| moving malcolm \| liz woodward \| None row 27 : 2003 \| control factor \| karen bishop \| television movie row 28 : 2003 \| student seduction \| christie dawson \| television movie row 29 : 2008 \| meet market \| linda \| None row 30 : 2008 \| the butler's in love \| angelique \| short film row 31 : 2008 \| black widow \| olivia whitfield / grace \| television movie row 32 : 2009 \| women in trouble \| tracy \| None row 33 : 2009 \| s. darko \| trudy \| None row 34 : 2011 \| lucky christmas \| holly ceroni \| television movie ] Execute this SQL based on the above table: select count ( distinct title )	34
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1975 \| asian championships \| seoul, south korea \| 1st \| 5,000m \| 14:00.8 row 2 : 1979 \| asian championships \| tokyo, japan \| 2nd \| 10,000m \| 29:00.2 row 3 : 1981 \| asian championships \| tokyo, japan \| 1st \| 10,000m \| 28:53.3 row 4 : 1981 \| fukuoka marathon \| fukuoka, japan \| 2nd \| marathon \| 2:09:37 row 5 : 1982 \| fukuoka marathon \| fukuoka, japan \| 4th \| marathon \| 2:11:45 row 6 : 1983 \| world championships \| helsinki, finland \| 28th \| 10,000m \| 29:49.0 ] Execute this SQL based on the above table: select count ( year ) where notes = '14:00.8'	0
[ header: number \| name \| year built \| boat builder \| current status row 1 : 1 \| hilbre \| 1958 \| williams & nixon \| wksc-regularly row 2 : 4 \| hioco \| 1959 \| enterprise boat company, rock ferry \| wksc-regularly row 3 : 6 \| hie \| 1959 \| williams & nixon \| wksc-regularly row 4 : 9 \| hiawatha \| 1960 \| williams & nixon \| wksc-regularly row 5 : 13 \| no boat \| None \| None \| None row 6 : 15 \| hieros \| 1961 \| turner & son, donegal \| understood to be in a garden in chester row 7 : 16 \| high & dry \| 1961 \| turner & son, donegal \| went down in the persian gulf after row 8 : 17 \| hilsa \| 1961 \| enterprise boat company, rock ferry \| wksc-regularly row 9 : 19 \| hilarity \| 1960 \| williams & nixon \| wksc-regularly row 10 : 20 \| hilda \| 1960 \| enterprise boat company, rock ferry \| wksc-regularly row 11 : 22 \| hijack \| 1961 \| turner & son, donegal \| set on fire and destroyed in nevin, row 12 : 24 \| hibiscus \| 1961 \| enterprise boat company, rock ferry \| sunk when it disappeared from its moor row 13 : 27 \| hicotee \| 1961 \| enterprise boat company, rock ferry \| wksc-regularly row 14 : 33 \| hiwmor \| 1961 \| crossfield successors, arnside \| south east england row 15 : 35 \| hilo \| 1961 \| enterprise boat company, rock ferry \| wrecked when escaped moorings row 16 : 37 \| hinden \| 1961 \| crossfield successors, arnside \| destroyed when put in a skip in liverpool row 17 : 39 \| hickory \| 1961 \| crossfield successors, arnside \| burnt on bonfire night row 18 : 41 \| highcrest \| 1961 \| crossfield successors, arnside \| wrecked when came off its mooring row 19 : 44 \| hibrena \| 1961 \| crossfield successors, arnside \| cut up and burnt in 2002 and parts salvage row 20 : 49 \| higgler \| 1961 \| crossfield successors, arnside \| last heard of in polperro row 21 : 50 \| heulwen \| 1962 \| wirral boat co., rock ferry \| porthmadog row 22 : 54 \| hinon \| 1964 \| crossfield successors, arnside \| lying in a garden in buckley, in row 23 : 55 \| hiriver \| 1964 \| anglesey boat co., beaumaris \| sunk in the river mersey row 24 : 56 \| hipparchus \| 1966 \| anglesey boat co., beaumaris \| liverpool maritime museum ] Execute this SQL based on the above table: select current status where current status = 'cut up and burnt in 2002 and parts salvaged for use by the association' order by year built desc limit 1	cut up and burnt in 2002 and parts salvaged for use by the association
[ 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 score where score = '3-0'	3-0
[ 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 competition where position = '3rd' and competition < ( select competition where competition = 'asian games' )	asian championships, asian championships
[ header: pollutant \| units \| emission standard \| coal-fired \| petroleum coke-fired row 1 : so2 \| lb/mmbtu \| ≤ 0.15 \| 0.0-0.04 \| 0.03-0.13 row 2 : nox \| lb/mmbtu \| ≤ 0.09 \| 0.04-0.06 \| 0.02 row 3 : solid particulate \| lb/mmbtu \| ≤ 0.011 \| 0.004 \| 0.007 row 4 : pm10 \| lb/mmbtu \| ≤ 0.011 \| 0.006 \| 0.004 row 5 : so3 \| lb/hour \| ≤ 1.1 \| 0.43 \| 0 row 6 : fluoride \| lb/mmbtu \| ≤ 1.57×10-4 \| 1.06×10-4 \| 0.95×10-4 row 7 : lead \| lb/mmbtu \| ≤ 2.6×10-5 \| 0.56×10-5 \| 0.59×10-5 row 8 : mercury \| lb/mmbtu \| ≤ 1.05×10-5 \| 0.095×10-5 \| 0.028×10-5 ] Execute this SQL based on the above table: select pollutant group by pollutant order by count ( * ) desc limit 1	solid particulate
[ header: rank \| title \| studio \| actor/actress \| director \| gross row 1 : 1 \| three men and a baby \| touchstone \| tom selleck, ted danson, \| leonard nimoy \| $167,780,960 row 2 : 2 \| fatal attraction \| paramount \| michael douglas, gle \| adrian lyne \| $156,645,693 row 3 : 3 \| beverly hills cop ii \| paramount \| eddie murphy, judge reinhold \| tony scott \| $153,665,036 row 4 : 4 \| good morning, vietnam \| touchstone \| robin williams and forest \| barry levinson \| $123,922,370 row 5 : 5 \| moonstruck \| mgm \| cher, nicolas cage, \| norman jewison \| $80,640,528 row 6 : 7 \| the secret of my success \| universal \| michael j. fox, \| herbert ross \| $66,995,000 row 7 : 8 \| stakeout \| touchstone \| richard dreyfuss, \| john badham \| $65,673,233 row 8 : 9 \| lethal weapon \| warner bros \| mel gibson, danny glover, \| richard donner \| $65,207,127 row 9 : 10 \| dirty dancing \| vestron \| patrick swayze, jenn \| emile ardolino \| $63,892,689 row 10 : 12 \| predator \| fox \| arnold schwarzenegger, car \| john mctiernan \| $59,735,548 row 11 : 13 \| throw momma from the train \| orion \| danny devito, billy crystal, \| danny devito \| $57,915,972 row 12 : 14 \| dragnet \| universal \| dan aykroyd, to \| tom mankiewicz \| $57,387,516 row 13 : 15 \| robocop \| orion \| peter weller, nancy allen, \| paul verhoeven \| $53,424,681 row 14 : 16 \| outrageous fortune \| touchstone \| bette midler and shelley long \| arthur hiller \| $52,864,741 row 15 : 17 \| la bamba \| columbia \| lou diamond phillips, es \| luis valdez \| $52,678,820 row 16 : 18 \| broadcast news \| fox \| william hurt, holly hunter \| james l. brooks \| $51,300,000 row 17 : 19 \| the living daylights \| united artists \| timothy dalton and mary \| john glen \| $51,185,000 row 18 : 20 \| eddie murphy raw \| paramount \| eddie murphy \| robert townsend \| $50,505,655 ] Execute this SQL based on the above table: select count ( * ) where director = 7	0
[ 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 surname = 'andreas'	1
[ 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 % of popular vote where % of popular vote = '15.5%'	15.5%
[ header: location \| town \| output (mw ac) \| modules \| number of arrays row 1 : h. lee dennison building \| hauppauge \| 1.75 \| 7737 \| 24 row 2 : north county complex \| hauppauge \| 0.5 \| 3431 \| 9 row 3 : cohalan court complex \| central islip \| 3.5 \| 15113 \| 27 row 4 : riverhead county center \| riverside \| 3 \| 11536 \| 31 row 5 : brentwood lirr parking lot \| brentwood \| 1 \| 3924 \| 11 row 6 : deer park lirr parking lot \| deer park \| 2.25 \| 3924 \| 39 row 7 : ronkonkoma lir \| ronkonkoma \| 5 \| 20110 \| 44 ] Execute this SQL based on the above table: select location order by id desc limit 1	ronkonkoma lirr parking lot (south)
[ header: call sign \| frequency \| city of license \| licensee \| format row 1 : kmsa \| 91.3 fm \| grand junction \| colorado mesa university \| aaa row 2 : kmgj \| 93.1 fm \| grand junction \| mbc grand broadcasting, inc \| top 40 (chr)/contempor row 3 : kkvt \| 100.7 fm \| grand junction \| mbc grand broadcasting, inc \| country row 4 : klfv \| 90.3 fm \| grand junction \| educational media foundation \| christian contemporary row 5 : kmoz-fm \| 92.3 fm \| grand junction \| mbc grand broadcasting, inc \| adult hits row 6 : kgjn-lp \| 106.7 fm \| grand junction \| colorado, state of, telecom \| news talk information row 7 : kjol \| 620 am \| grand junction \| united ministries \| christian contemporary row 8 : kcic \| 88.5 fm \| grand junction \| pear park baptist schools \| religious row 9 : kbkl \| 107.9 fm \| grand junction \| townsquare media group \| oldies row 10 : kafm \| 88.1 fm \| grand junction \| grand valley public radio co, inc \| variety row 11 : kexo \| 1230 am \| grand junction \| townsquare media group \| regional mexican/talk row 12 : knzz \| 1100 am \| grand junction \| mbc grand broadcasting, inc \| news/talk row 13 : kmxy \| 104.3 fm \| grand junction \| townsquare media group \| hot adult contemporary row 14 : kprn \| 89.5 fm \| grand junction \| public broadcasting of colorado, in \| public/news/talk row 15 : ktmm \| 1340 am \| grand junction \| mbc grand broadcasting, inc \| sports/talk row 16 : kaai \| 98.5 fm \| palisade, colorado \| educational media foundation \| christian rock row 17 : kmzk (fm) \| 106.9 fm \| clifton \| charles d. hall \| None row 18 : kekb \| 99.9 fm \| fruita \| townsquare media group \| country row 19 : krzx \| 106.1 fm \| redlands \| cochise media licenses llc \| None row 20 : kzks \| 105.3 fm \| rifle, colorado \| western slope communications \| classic hits row 21 : knoz \| 97.7 fm \| orchard mesa \| paul varecha \| all-news radio row 22 : ktun \| 93.5 fm \| new castle, colorado \| wildcat communications \| spanish hits row 23 : kknn \| 95.1 fm \| delta, colorado \| townsquare media group \| active rock row 24 : kstr-fm \| 96.1 fm \| montrose, colorado \| mbc grand broadcasting \| classic rock row 25 : kubc \| 580 am \| montrose, colorado \| cherry creek radio \| news/talk ] Execute this SQL based on the above table: select call sign where city of license = 'grand junction' and format = 'variety'	kafm
[ header: no \| date \| race \| track \| winner \| reports row 1 : 1 \| 02-09-2008 \| daytona arca 200 \| daytona \| michael annett \| report row 2 : 2 \| 04-13-2008 \| kentuckiana ford dealers 200 \| salem speedway \| justin allgaier \| report row 3 : 3 \| 04-19-2008 \| prairie meadows 250 \| iowa speedway \| matt hawkins \| report row 4 : 4 \| 04-25-2008 \| kansas lottery $150 grand \| kansas speedway \| scott speed \| report row 5 : 5 \| 05-04-2008 \| carolina 500 \| rockingham \| joey logano \| report row 6 : 6 \| 05-10-2008 \| drive smart! 150 \| kentucky \| ricky stenhouse, jr \| report row 7 : 7 \| 05-18-2008 \| hantz group 200 \| toledo \| matt carter \| report row 8 : 8 \| 06-07-2008 \| pocono 200 \| pocono \| ricky stenhouse, jr \| report row 9 : 9 \| 06-14-2008 \| racing for wildlife 200 \| michigan \| justin lofton \| report row 10 : 10 \| 06-29-2008 \| cayuga arca re/max \| cayuga \| justin allgaier \| report row 11 : 11 \| 07-18-2008 \| kentucky 150 \| kentucky \| scott speed \| report row 12 : 12 \| 07-26-2008 \| berlin arca 200 \| berlin \| scott speed \| report row 13 : 13 \| 08-02-2008 \| pennsylvania 200 \| pocono \| justin allgaier \| report row 14 : 14 \| 08-09-2008 \| toyota arca 150 \| nashville ss \| scott speed \| report row 15 : 15 \| 08-17-2008 \| allen crowe 100 \| springfield \| frank kimmel \| report row 16 : 16 \| 09-01-2008 \| southern illinois 100 \| duquoin \| frank kimmel \| report row 17 : 17 \| 09-06-2008 \| chicagoland arca 200 \| chicagoland \| scott lagasse jr \| report row 18 : 18 \| 09-13-2008 \| eddie gilstrap motors \| salem \| frank kimmel \| report row 19 : 19 \| 09-28-2008 \| loud energy drink 150 \| njmp \| justin allgaier \| report row 20 : 20 \| 10-03-2008 \| food world 250 \| talladega \| justin allgaier \| report row 21 : 21 \| 10-12-2008 \| toledo arca 200 \| toledo \| justin allgaier \| report ] Execute this SQL based on the above table: select ( select race - track where winner = 'matt carter' ) > ( select race - track where winner = 'justin allgaier' )	0
[ header: rank \| lane \| name \| nationality \| time \| notes row 1 : None \| 5 \| ryan lochte \| united states \| 1:53.94 \| wr row 2 : None \| 4 \| aaron peirsol \| united states \| 1:54.33 \| None row 3 : None \| 8 \| arkady vyatchan \| russia \| 1:54.93 \| eu row 4 : 4 \| 3 \| markus rogan \| austria \| 1:55.49 \| nr row 5 : 5 \| 6 \| ryosuke irie \| japan \| 1:55.72 \| None row 6 : 6 \| 1 \| hayden stoeckel \| australia \| 1:56.39 \| oc row 7 : 7 \| 2 \| razvan florea \| romania \| 1:56.52 \| None row 8 : 8 \| 7 \| gregor tait \| great britain \| 1:57.00 \| None ] Execute this SQL based on the above table: select count ( notes ) where name != 'aaron peirsol'	4
[ header: name of place \| number of counties \| principal county \| zip code lower \| zip code upper row 1 : dacono \| 1 \| weld county \| 80514 \| None row 2 : dailey \| 1 \| logan county \| 80728 \| None row 3 : dalerose \| 1 \| las animas county \| 81049 \| None row 4 : dallas \| 1 \| ouray county \| None \| None row 5 : darlow \| 1 \| adams county \| None \| None row 6 : de beque \| 1 \| mesa county \| 81630 \| None row 7 : deepcreek \| 1 \| routt county \| 80428 \| None row 8 : deermont \| 1 \| jefferson county \| None \| None row 9 : deer park \| 1 \| routt county \| 80467 \| None row 10 : deer trail \| 1 \| arapahoe county \| 80105 \| None row 11 : delagua \| 1 \| las animas county \| None \| None row 12 : dell \| 1 \| eagle county \| None \| None row 13 : del norte \| 1 \| rio grande county \| 81132 \| None row 14 : delta \| 1 \| delta county \| 81416 \| None row 15 : denver \| 1 \| denver county \| 80201 \| 95 row 16 : denver international airport \| 1 \| denver county \| 80249 \| None row 17 : denver merchandise mart \| 1 \| adams county \| 80216 \| None row 18 : derby \| 1 \| adams county \| 80022 \| None row 19 : derby \| 1 \| adams county \| 80022 \| None row 20 : derby junction \| 1 \| eagle county \| None \| None row 21 : derrick \| 1 \| rio grande county \| None \| None row 22 : dick \| 1 \| weld county \| None \| None row 23 : dinosaur national monument \| 1 \| moffat county \| 81610 \| None row 24 : dinsmore \| 1 \| pueblo county \| None \| None row 25 : divide \| 1 \| teller county \| 80814 \| None row 26 : dixon \| 1 \| larimer county \| None \| None row 27 : dominguez \| 1 \| delta county \| None \| None row 28 : dorey lakes \| 1 \| gilpin county \| 80401 \| None row 29 : dos \| 1 \| garfield county \| None \| None row 30 : dotsero \| 1 \| eagle county \| None \| None row 31 : downtown \| 1 \| arapahoe county \| 80110 \| None row 32 : doyleville \| 1 \| gunnison county \| 81230 \| None row 33 : drakes \| 1 \| larimer county \| None \| None row 34 : drop city \| 1 \| las animas county \| None \| None row 35 : duban \| 1 \| denver county \| None \| None row 36 : dudley \| 1 \| park county \| None \| None row 37 : duffield \| 1 \| el paso county \| None \| None row 38 : dunul \| 1 \| rio grande county \| None \| None row 39 : dupont \| 1 \| adams county \| 80024 \| None row 40 : durango \| 1 \| la plata county \| 81301 \| None row 41 : durham \| 1 \| mesa county \| None \| None row 42 : dyersville \| 1 \| summit county \| None \| None row 43 : dyke \| 1 \| archuleta county \| None \| None ] Execute this SQL based on the above table: select name of place order by number of counties desc limit 1	dacono
[ header: year \| single \| us cashbox \| us hot 100 \| uk singles row 1 : 1969 \| "rock & roll holiday" \| None \| None \| None row 2 : 1970 \| "be-bop confidential" \| None \| None \| None row 3 : 1971 \| "roadrunner" \| None \| None \| None row 4 : 1971 \| "that's fine" \| None \| None \| None row 5 : 1972 \| "the red back spider" \| 85 \| 96 \| None row 6 : 1973 \| "let your yeah be yeah" \| 60 \| 57 \| 52 row 7 : 1973 \| "smokin' in the boys room \| 2 \| 3 \| 27 row 8 : 1974 \| "i'm the leader of the gang \| 26 \| 48 \| None row 9 : 1974 \| "kings of the party" \| 31 \| 31 \| None row 10 : 1974 \| "i got it bad for you" \| None \| None \| None row 11 : 1977 \| "lady (put the light on me \| 44 \| 46 \| None row 12 : 1977 \| "the martian boogie" \| 45 \| 59 \| None row 13 : 1979 \| "love stealer" \| None \| None \| None ] Execute this SQL based on the above table: select single where single = '"roadrunner"' order by year asc limit 1	"roadrunner"
[ header: year \| venue \| winners \| runner-up \| 3rd place row 1 : 2005 \| pardubice \| poland (41 pts) \| sweden (35 pts \| denmark (24 pts) row 2 : 2006 \| rybnik \| poland (41 pts) \| sweden (27 pts \| denmark (26 pts) row 3 : 2007 \| abensberg \| poland (40 pts) \| great britain (36 pt \| czech republic (30 pts row 4 : 2008 \| holsted \| poland (40 pts) \| denmark (39 pts) \| sweden (38 pts row 5 : 2009 \| gorzow wlkp \| poland (57 pts) \| denmark (45 pts) \| sweden (32 pts row 6 : 2010 \| rye house \| denmark (51 pts) \| sweden (37 pts \| poland (35 pts) row 7 : 2011 \| balakovo \| russia (61 pts) \| denmark (31 pts) \| ukraine (29+3 p row 8 : 2012 \| gniezno \| poland (61 pts) \| australia (44 pts) \| sweden (26 pts ] Execute this SQL based on the above table: select venue order by year desc limit 1	gniezno
[ header: year \| div. \| pos. \| cup \| top scorer (league) \| score row 1 : 2003 \| uzl \| 12th \| 1/4 \| None \| None row 2 : 2004 \| uzl \| 7th \| 1/4 \| rahmat inogamov \| 8 row 3 : 2005 \| uzl \| 12th \| 1/2 \| alisher kholiqov \| 6 row 4 : 2006 \| uzl \| 11th \| 1/4 \| alisher kholiqov \| 9 row 5 : 2007 \| uzl \| 9th \| r16 \| None \| None row 6 : 2008 \| uzl \| 15th \| 1/4 \| lochin soliev \| 8 row 7 : 2009 \| uzl \| 15th \| 1/4 \| None \| None row 8 : 2010 \| 1st \| 1st \| r32 \| abdulatif juraev \| 27 row 9 : 2011 \| uzl \| 9th \| r32 \| sukhrob nematov \| 7 row 10 : 2012 \| uzl \| 7th \| 1/2 \| vokhid shodiev \| 5 row 11 : 2013 \| uzl \| 6th \| r16 \| vokhid shodiev \| 12 ] Execute this SQL based on the above table: select abs ( cup - cup ) where pos. = '7th'	0, 0
[ header: county \| obama \| votes \| romney \| votes \| others \| votes \| total row 1 : colusa \| 38.3% \| 2,314 \| 59.6% \| 3,601 \| 2.1% \| 130 \| 6,045 row 2 : contra costa \| 66.2% \| 290,824 \| 31.1% \| 136,517 \| 2.7% \| 11,804 \| 439,145 row 3 : del norte \| 43.4% \| 3,791 \| 52.8% \| 4,614 \| 3.8% \| 331 \| 8,736 row 4 : fresno \| 49.7% \| 129,129 \| 47.9% \| 124,490 \| 1.8% \| 6,078 \| 259,697 row 5 : imperial \| 65.2% \| 25,136 \| 33.2% \| 12,776 \| 1.6% \| 620 \| 38,532 row 6 : kern \| 40.5% \| 89,495 \| 57.3% \| 126,618 \| 2.2% \| 4,900 \| 221,013 row 7 : lassen \| 28.5% \| 3,053 \| 68.0% \| 7,296 \| 3.5% \| 376 \| 10,725 row 8 : madera \| 40.2% \| 16,018 \| 57.3% \| 22,852 \| 2.5% \| 996 \| 39,866 row 9 : merced \| 53.0% \| 33,005 \| 44.3% \| 27,581 \| 2.7% \| 1,636 \| 62,222 row 10 : modoc \| 27.7% \| 1,113 \| 69.1% \| 2,779 \| 3.2% \| 130 \| 4,022 row 11 : mono \| 52.9% \| 2,733 \| 44.2% \| 2,285 \| 2.9% \| 150 \| 5,168 row 12 : nevada \| 47.7% \| 24,663 \| 48.4% \| 24,986 \| 3.9% \| 2,026 \| 51,675 row 13 : placer \| 38.9% \| 66,818 \| 58.2% \| 99,921 \| 2.9% \| 4,972 \| 171,711 row 14 : plumas \| 39.9% \| 4,026 \| 56.8% \| 5,721 \| 3.3% \| 333 \| 10,080 row 15 : san bernardino \| 52.6% \| 305,109 \| 45.2% \| 262,358 \| 2.2% \| 13,136 \| 580,603 row 16 : san francisco \| 83.4% \| 301,723 \| 13.0% \| 47,076 \| 3.4% \| 12,996 \| 361,795 row 17 : san joaquin \| 55.6% \| 114,121 \| 41.9% \| 86,071 \| 2.5% \| 5,172 \| 205,364 row 18 : san luis obispo \| 48.6% \| 61,258 \| 47.6% \| 59,967 \| 3.8% \| 4,741 \| 125,966 row 19 : santa cruz \| 75.4% \| 90,805 \| 20.0% \| 24,047 \| 4.6% \| 5,533 \| 120,385 row 20 : sierra \| 36.3% \| 652 \| 58.7% \| 1,056 \| 5.0% \| 90 \| 1,798 row 21 : siskiyou \| 40.2% \| 8,044 \| 55.4% \| 11,076 \| 4.4% \| 870 \| 19,990 row 22 : solano \| 63.3% \| 96,783 \| 34.1% \| 52,092 \| 2.6% \| 3,965 \| 152,840 row 23 : stanislaus \| 49.9% \| 77,724 \| 47.1% \| 73,459 \| 3.0% \| 4,633 \| 155,816 row 24 : trinity \| 46.6% \| 2,674 \| 47.3% \| 2,716 \| 6.1% \| 349 \| 5,739 row 25 : tulare \| 41.2% \| 41,752 \| 56.2% \| 56,956 \| 2.6% \| 2,571 \| 101,279 row 26 : ventura \| 52.2% \| 170,929 \| 45.1% \| 147,958 \| 2.7% \| 8,825 \| 327,712 ] Execute this SQL based on the above table: select count ( * ) where total >= 35	26
[ header: date announced \| plant name \| location \| date of closing \| products \| employees row 1 : january 23, 2006 \| st. louis assembly \| hazelwood, missouri \| 2006 \| ford explorer lincoln \| 1445 row 2 : january 23, 2006 \| atlanta assembly \| hapeville, georgia \| oct. 2006 \| ford taurus mercury sable \| 2028 row 3 : january 23, 2006 \| batavia transmission \| batavia, ohio \| 2008 \| transmissions \| 1745 row 4 : january 23, 2006 \| windsor casting \| windsor, ontario, canada \| 2008 \| engine blocks, parts \| 684 row 5 : january 23, 2006 \| wixom assembly \| wixom, michigan \| june 2007 \| lincoln town car lin \| 1567 row 6 : april 13, 2006 \| twin cities assembly \| st. paul, minneso \| 2011 \| ford ranger mazda b \| 1885 row 7 : april 13, 2006 \| norfolk assembly \| norfolk, virginia, \| 2007 \| ford f-series \| 2433 row 8 : september 14, 2006 \| essex engine \| windsor, ontario, canada \| 2008 \| ford triton engine ford esse \| None row 9 : september 14, 2006 \| maumee stamping \| maumee, ohio \| 2008 \| body panels \| None row 10 : total \| total \| total \| total \| total \| 11787 ] Execute this SQL based on the above table: select count ( date announced ) where employees = 1567	1
[ header: athlete \| event \| race 1 time \| race 2 time \| total time \| total rank row 1 : stefan shalamanov \| giant slalom \| dnf \| None \| dnf \| None row 2 : borislav dimitrachkov \| giant slalom \| dnf \| None \| dnf \| None row 3 : lyubomir popov \| giant slalom \| 1:10.73 \| dnf \| dnf \| None row 4 : stefan shalamanov \| slalom \| 58.68 \| 53.69 \| 1:52.37 \| 23 row 5 : lyubomir popov \| slalom \| 57.78 \| 53.03 \| 1:50.81 \| 19 row 6 : borislav dimitrachkov \| slalom \| 57.58 \| 53.23 \| 1:50.81 \| 19 row 7 : petar popangelov \| slalom \| 55.14 \| 51.2 \| 1:46.34 \| 16 ] Execute this SQL based on the above table: select count ( * ) where race 1 time < 'dnf'	5
[ header: season \| date \| location \| discipline \| place row 1 : 2007 \| 18 mar 2007 \| lenzerheide, switze \| giant slalom \| 2nd row 2 : 2009 \| 10 jan 2009 \| maribor, slovenia \| giant slalom \| 3rd row 3 : 2010 \| 28 nov 2009 \| aspen, usa \| giant slalom \| 1st row 4 : 2010 \| 28 dec 2009 \| lienz, austria \| giant slalom \| 1st row 5 : 2010 \| 24 jan 2010 \| cortina d'ampezzo \| giant slalom \| 3rd row 6 : 2010 \| 11 mar 2010 \| garmisch, germany \| giant slalom \| 2nd row 7 : 2011 \| 23 oct 2010 \| solden, austria \| giant slalom \| 2nd row 8 : 2011 \| 27 nov 2010 \| aspen, usa \| giant slalom \| 3rd row 9 : 2011 \| 28 dec 2010 \| semmering, austria \| giant slalom \| 3rd ] Execute this SQL based on the above table: select place where season > 2010	2nd, 3rd, 3rd
[ header: player \| team \| date \| opponent \| venue row 1 : tony lazzeri \| new york yankees \| may 24, 1936 \| philadelphia athletics \| shibe park row 2 : jim tabor \| boston red sox \| 07/04/39 \| philadelphia athletics \| shibe park row 3 : rudy york \| boston red sox \| july 27, 1946 \| st. louis browns \| sportsman's park row 4 : jim gentile \| baltimore orioles \| may 9, 1961 \| minnesota twins \| metropolitan stadium row 5 : tony cloninger \| atlanta braves \| july 3, 1966 \| san francisco giants \| candlestick park row 6 : jim northrup \| detroit tigers \| june 24, 1968 \| cleveland indians \| cleveland stadium row 7 : frank robinson \| baltimore orioles \| june 26, 1970 \| washington senators \| rfk stadium row 8 : robin ventura \| chicago white sox \| september 4, 1995 \| texas rangers \| the ballpark in arlington row 9 : chris hoiles \| baltimore orioles \| august 14, 1998 \| cleveland indians \| jacobs field row 10 : fernando tatis \| st. louis cardinals \| april 23, 1999 \| los angeles dodgers \| dodger stadium row 11 : nomar garciaparra \| boston red sox \| may 10, 1999 \| seattle mariners \| fenway park row 12 : bill mueller \| boston red sox \| july 29, 2003 \| texas rangers \| the ballpark in arlington row 13 : josh willingham \| washington nationals \| july 27, 2009 \| milwaukee brewers \| miller park ] Execute this SQL based on the above table: select count ( * ) where team = 'boston red sox'	4
[ header: season \| team \| country \| division \| apps \| goals \| assists row 1 : 01/02 \| esteghlal \| iran \| 1 \| None \| 3 \| None row 2 : 02/03 \| esteghlal \| iran \| 1 \| None \| 2 \| None row 3 : 03/04 \| esteghlal \| iran \| 1 \| None \| 6 \| None row 4 : 04/05 \| eseghlal \| iran \| 1 \| 27 \| 3 \| None row 5 : 05/06 \| esteghlal \| iran \| 1 \| 21 \| 0 \| 2 row 6 : 06/07 \| esteghlal \| iran \| 1 \| 14 \| 1 \| 1 row 7 : 07/08 \| steel azin \| iran \| 1 \| None \| 2 \| None row 8 : 10/11 \| gostaresh foolad \| iran \| 2 \| 0 \| 0 \| 0 ] Execute this SQL based on the above table: select country where team > ( select team where country = 'iran' ) order by team limit 1	iran
[ 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 date where week = 11	november 20, 1960
[ header: place \| player \| country \| score \| to par \| money ($) row 1 : t1 \| bobby jones (a) \| united states \| 69-75-71-79=2 \| 6 \| playoff row 2 : t1 \| al espinosa \| united states \| 70-72-77-75=294 \| 6 \| playoff row 3 : t3 \| gene sarazen \| united states \| 71-71-76-78=2 \| 8 \| 700 row 4 : t3 \| denny shute \| united states \| 73-71-76-76=2 \| 8 \| 700 row 5 : t5 \| tommy armour \| scotland united states \| 74-71-76-76=2 \| 9 \| 550 row 6 : t5 \| george von elm (a \| united states \| 79-70-74-74=2 \| 9 \| 0 row 7 : 7 \| henry ciuci \| united states \| 78-74-72-75=2 \| 11 \| 450 row 8 : t8 \| leo diegel \| united states \| 74-74-76-77=301 \| 13 \| 300 row 9 : t8 \| peter o'hara \| united states \| 74-76-73-78=301 \| 13 \| 300 row 10 : 10 \| horton smith \| united states \| 76-77-74-75=30 \| 14 \| 150 ] Execute this SQL based on the above table: select country order by to par desc limit 1	united states
[ header: entered \| weeks in top 10 \| single \| artist \| peak \| peak reached \| weeks at peak row 1 : 3 october 1993 \| 14 \| "i'd do anything for love" \| meat loaf \| 1 \| 17 october 1993 \| 7 row 2 : 19 december 1993 \| 3 \| "bat out of hell" \| meat loaf \| 8 \| 19 december 1993 \| 2 row 3 : 2 january 1994 \| 9 \| "things can only get better" (# \| d:ream \| 1 \| 16 january 1994 \| 4 row 4 : 16 january 1994 \| 1 \| "here i stand" \| bitty mclean \| 10 \| 16 january 1994 \| 1 row 5 : 23 january 1994 \| 1 \| "in your room" \| depeche mode \| 8 \| 23 january 1994 \| 1 row 6 : 23 january 1994 \| 8 \| "return to innocence" \| enigma \| 3 \| 6 february 1994 \| 2 row 7 : 13 march 1994 \| 7 \| "streets of philadelphia" \| bruce springsteen \| 2 \| 27 march 1994 \| 1 row 8 : 1 may 1994 \| 7 \| "come on you reds" \| manchester united football squad featuring status quo \| 1 \| 15 may 1994 \| 2 row 9 : 8 may 1994 \| 3 \| "just a step from heaven" \| eternal \| 8 \| 15 may 1994 \| 1 row 10 : 15 may 1994 \| 2 \| "more to this world" \| bad boys inc \| 8 \| 22 may 1994 \| 1 row 11 : 12 june 1994 \| 2 \| "anytime you need a friend" \| mariah carey \| 8 \| 19 june 1994 \| 1 row 12 : 7 august 1994 \| 4 \| "what's up?" \| dj miko \| 6 \| 14 august 1994 \| 1 row 13 : 14 august 1994 \| 2 \| "live forever" \| oasis \| 10 \| 14 august 1994 \| 2 row 14 : 28 august 1994 \| 1 \| "parklife" \| blur \| 10 \| 28 august 1994 \| 1 row 15 : 2 october 1994 \| 2 \| "secret" \| madonna \| 5 \| 2 october 1994 \| 1 row 16 : 2 october 1994 \| 6 \| "sweetness" \| michelle gayle \| 4 \| 30 october 1994 \| 1 row 17 : 30 october 1994 \| 4 \| "oh baby i..." \| eternal \| 4 \| 6 november 1994 \| 1 row 18 : 6 november 1994 \| 5 \| "another night" \| mc sar and real m \| 2 \| 13 november 1994 \| 1 row 19 : 13 november 1994 \| 3 \| "sight for sore eyes" \| m people \| 6 \| 20 november 1994 \| 1 row 20 : 13 november 1994 \| 1 \| "true faith '94" \| new order \| 9 \| 13 november 1994 \| 1 row 21 : 11 december 1994 \| 3 \| "power rangers: the official single" \| the mighty raw \| 3 \| 11 december \| 1 ] Execute this SQL based on the above table: select max ( abs ( peak reached - peak reached ) )	0
[ header: season \| series \| team \| races \| wins \| poles \| f/laps \| podiums \| points \| position row 1 : 2003 \| formula renault 2.0 italy \| cram competition \| 12 \| 0 \| 1 \| 1 \| 3 \| 118 \| 7th row 2 : 2003 \| formula renault 2000 masters season \| cram competition \| 8 \| 0 \| 0 \| 0 \| 0 \| 0 \| 28th row 3 : 2003 \| formula renault 2.0 germany \| cram competition \| 2 \| 0 \| 0 \| 0 \| 0 \| 3 \| 43rd row 4 : 2003 \| formula renault 2.0 italy winter cup \| cram competition \| None \| None \| None \| None \| None \| None \| 1st row 5 : 2004 \| formula renault 2.0 italy \| cram competition \| 17 \| 8 \| 6 \| 11 \| 12 \| 326 \| 1st row 6 : 2004 \| formula renault 2000 eurocup \| cram competition \| 15 \| 2 \| 0 \| 1 \| 3 \| 134 \| 8th row 7 : 2004 \| formula renault v6 eurocup \| cram competition \| 2 \| 0 \| 0 \| 0 \| 0 \| 12 \| 21st row 8 : 2004 \| formula one \| minardi \| test driver \| test driver \| test driver \| test driver \| test driver \| test driver \| test driver row 9 : 2005 \| world series by renault \| dams \| 8 \| 0 \| 0 \| 0 \| 0 \| 4 \| 25th row 10 : 2005 \| italian formula 3000 \| sighinolfi auto racing \| 4 \| 1 \| 1 \| 1 \| 1 \| 14 \| 9th row 11 : 2006 \| world series by renault \| draco racing \| 17 \| 3 \| 5 \| 6 \| 5 \| 103 \| 3rd row 12 : 2007 \| gp2 series \| trident racing \| 13 \| 1 \| 1 \| 0 \| 2 \| 25 \| 11th row 13 : 2007 \| euroseries 3000 \| g-tec \| 2 \| 1 \| 1 \| 1 \| 1 \| 12 \| 10th row 14 : 2007 \| formula 3000 italy \| g-tec \| 2 \| 1 \| 1 \| 1 \| 1 \| 12 \| 8th row 15 : 2008 \| gp2 series \| piquet sports \| 20 \| 1 \| 2 \| 3 \| 6 \| 60 \| 5th row 16 : 2008 \| international gt open - gt \| scuderia latorre \| 2 \| 0 \| 0 \| 0 \| 1 \| 8 \| 22nd row 17 : 2008 \| euroseries 3000 \| gp racing \| 1 \| 1 \| 0 \| 1 \| 1 \| 11 \| 12th row 18 : 2008 \| international gt open \| scuderia latorre \| None \| None \| None \| None \| None \| 18 \| 32nd row 19 : 2008-09 \| gp2 asia series \| art grand prix \| 5 \| 0 \| 0 \| 0 \| 1 \| 7 \| 15th row 20 : 2009 \| euroseries 3000 \| teamcraft motorsport \| 2 \| 1 \| 0 \| 0 \| 1 \| 10 \| 10th row 21 : 2009 \| gp2 series \| art grand prix \| 20 \| 2 \| 0 \| 0 \| 2 \| 36 \| 6th row 22 : 2010 \| gp2 series \| rapax team \| 20 \| 6 \| 0 \| 5 \| 8 \| 87 \| 1st row 23 : 2011 \| formula one \| at&t williams \| 19 \| 0 \| 0 \| 0 \| 0 \| 1 \| 18th row 24 : 2012 \| formula one \| williams f1 team \| 20 \| 1 \| 1 \| 0 \| 1 \| 45 \| 15th row 25 : 2013 \| formula one \| williams f1 team \| 19 \| 0 \| 0 \| 0 \| 0 \| 1 \| 18th row 26 : 2014 \| formula one \| lotus f1 team \| 2 \| 0 \| 0 \| 0 \| 0 \| 0 \| nc ] Execute this SQL based on the above table: select series where position = '8th' order by races desc limit 1	formula renault 2000 eurocup
[ header: name \| party \| took office \| left office row 1 : glenlyon campbell \| conservative \| 1903 \| 1908 row 2 : duncan cameron \| conservative \| 1908 \| 1910 row 3 : sam hughes \| conservative \| 1910 \| 1915 row 4 : william findlater \| liberal \| 1915 \| 1922 row 5 : arthur berry \| progressive \| 1922 \| 1932 row 6 : None \| liberal-progressive \| 1932 \| 1936 row 7 : stanley fox \| social credit \| 1936 \| 1940 row 8 : None \| social credit (coalition) \| 1940 \| 1949 row 9 : ray mitchell \| liberal-progressive \| 1949 \| 1958 ] Execute this SQL based on the above table: select abs ( party - name ) where took office = 1910	0
[ header: from \| to \| name \| party \| position row 1 : 1850 \| 1862 \| m. borgarelli d' \| None \| colonel of infantry e.r row 2 : 1862 \| 1869 \| jules alfred le tourneur du \| None \| first secretary for the minister of finance row 3 : 1869 \| 1903 \| stanislas le tourneur d \| None \| attached to the taxation administration of france row 4 : None \| None \| yves le tourneur d' \| None \| doctor of juridical science row 5 : 1966 \| 1989 \| maurice lecoq \| None \| market gardener row 6 : 1989 \| 2008 \| michel deuzet \| se \| farmer row 7 : 2008 \| 2014 \| patrice martin \| se \| bank officer ] Execute this SQL based on the above table: select name where id = 1	m. borgarelli d'ison
[ header: rank \| lane \| name \| nationality \| time \| notes row 1 : None \| 4 \| sophie pascoe \| new zealand \| 2:25.65 \| wr row 2 : None \| 5 \| summer ashley mortimer \| canada \| 2:32.08 \| None row 3 : None \| 3 \| zhang meng \| china \| 2:33.95 \| as row 4 : 4 \| 6 \| katherine downie \| australia \| 2:34.64 \| None row 5 : 5 \| 2 \| nina ryabova \| russia \| 2:35.65 \| None row 6 : 6 \| 8 \| aurelie rivard \| canada \| 2:37.70 \| None row 7 : 7 \| 7 \| harriet lee \| great britain \| 2:39.42 \| None row 8 : 8 \| 1 \| gemma almond \| great britain \| 2:42.16 \| None ] Execute this SQL based on the above table: select count ( nationality ) where name = 'summer ashley mortimer'	1
[ header: \| dingli \| marsa \| mellieha \| mosta \| qormi \| senglea \| st.georges \| st.patrick \| tarxien \| vittoriosa row 1 : dingli \| None \| 6-2 \| 2-2 \| 0-2 \| 2-0 \| 0-1 \| 2-2 \| 2-0 \| 1-3 \| 0-0 row 2 : marsa \| 0-3 \| None \| 0-1 \| 2-4 \| 3-4 \| 0-5 \| 1-3 \| 1-0 \| 2-3 \| 1-4 row 3 : mellieha \| 0-2 \| 1-3 \| None \| 1-2 \| 4-3 \| 1-3 \| 0-1 \| 2-2 \| 2-2 \| 3-6 row 4 : mosta \| 4-0 \| 0-3 \| 3-0 \| None \| 2-2 \| 3-1 \| 2-0 \| 2-0 \| 0-1 \| 2-1 row 5 : qormi \| 4-2 \| 1-1 \| 3-0 \| 3-3 \| None \| 1-0 \| 1-0 \| 1-0 \| 4-1 \| 0-1 row 6 : senglea \| 0-4 \| 5-2 \| 4-0 \| 2-1 \| 1-3 \| None \| 2-0 \| 0-4 \| 0-1 \| 1-0 row 7 : st. george's \| 4-2 \| 6-0 \| 1-2 \| 2-2 \| 0-0 \| 0-4 \| None \| 2-1 \| 2-0 \| 3-7 row 8 : st. patrick \| 0-2 \| 1-1 \| 3-1 \| 0-1 \| 1-3 \| 1-1 \| 4-1 \| None \| 1-1 \| 1-3 row 9 : tarxien \| 2-1 \| 4-0 \| 3-0 \| 0-0 \| 0-2 \| 1-0 \| 1-0 \| 3-0 \| None \| 3-2 row 10 : vittoriosa \| 1-3 \| 2-1 \| 2-1 \| 0-1 \| 1-2 \| 1-2 \| 2-0 \| 0-2 \| 0-3 \| None ] Execute this SQL based on the above table: select max ( mellieha ) - min ( mellieha )	4
[ header: season \| average \| high \| low \| season tickets row 1 : 2001-02 serie a \| 17956 \| 27498 \| 14704 \| 12156 row 2 : 2002-03 serie a \| 16306 \| 25603 \| 12980 \| 11544 row 3 : 2003-04 serie a \| 15904 \| 23663 \| 11463 \| 10439 row 4 : 2004-05 serie a \| 14044 \| 23010 \| 10711 \| 9923 row 5 : 2005-06 serie a \| 14372 \| 23116 \| 11575 \| 10639 row 6 : 2006-07 serie a \| 14644 \| 20488 \| 11946 \| 11120 row 7 : 2007-08 serie a \| 15427 \| 25149 \| 11890 \| 11386 row 8 : 2008-09 serie b \| 10031 \| 12265 \| 9261 \| None row 9 : 2009-10 serie a \| 17061 \| 21323 \| 11870 \| 13691 row 10 : 2010-11 serie a \| 14524 \| 19615 \| 11975 \| 10578 row 11 : 2011-12 serie a \| 13646 \| 19481 \| 10800 \| 9620 row 12 : 2012-13 serie a \| 12740 \| 19073 \| 9627 \| 10546 ] Execute this SQL based on the above table: select season order by average desc limit 1	2001-02 serie a
[ header: no \| driver \| entrant \| constructor \| chassis \| engine \| tyre row 1 : 2 \| johnny claes \| ecurie belge \| talbot-lago \| talbot-lago t26c \| talbot 23cv 4.5 l \| d row 2 : 6 \| yves giraud-cab \| yves giraud-cab \| talbot-lago \| talbot-lago t26c \| talbot 23cv 4.5 l \| d row 3 : 8 \| louis rosier \| ecurie rosier \| talbot-lago \| talbot-lago t26c \| talbot 23cv 4.5 l \| d row 4 : 10 \| henri louveau \| ecurie rosier \| talbot-lago \| talbot-lago t26c \| talbot 23cv 4.5 l \| d row 5 : 12 \| george abecassis \| hw motors \| hwm-alta \| hwm 51 \| alta 1.5 l4s \| d row 6 : 16 \| peter whitehead \| scuderia ferrari \| ferrari \| ferrari 125 \| ferrari 125 f1 1.5 v \| d row 7 : 18 \| luigi villoresi \| scuderia ferrari \| ferrari \| ferrari 375 \| ferrari type 375 4.5 v12 \| p row 8 : 20 \| alberto ascari \| scuderia ferrari \| ferrari \| ferrari 375 \| ferrari type 375 4.5 v12 \| p row 9 : 22 \| nino farina \| alfa romeo spa \| alfa romeo \| alfa romeo 159a \| alfa romeo 1.5 l8 \| p row 10 : 24 \| juan manuel fangio \| alfa romeo spa \| alfa romeo \| alfa romeo 159a \| alfa romeo 1.5 l8 \| p row 11 : 26 \| toulo de graffenried \| alfa romeo spa \| alfa romeo \| alfa romeo 159a \| alfa romeo 1.5 l8 \| p row 12 : 30 \| louis chiron \| enrico plate \| maserati \| maserati 4clt-48 \| maserati 4 cl 1.5 \| p row 13 : 32 \| harry schell \| enrico plate \| maserati \| maserati 4clt-48 \| maserati 4 cl 1.5 \| p row 14 : 40 \| guy mairesse \| yves giraud-cab \| talbot-lago \| talbot-lago t26c \| talbot 23cv 4.5 l \| d row 15 : 42 \| jose froilan gonzal \| jose froilan gonzal \| talbot-lago \| talbot-lago t26c \| talbot 23cv 4.5 l \| d row 16 : 48 \| maurice trintignant \| equipe gordini \| simca-gordini \| simca-gordini t \| simca-gordini 15c \| e row 17 : 52 \| peter hirt \| peter hirt \| veritas \| veritas meteor \| veritas 2.0 l6 \| None ] Execute this SQL based on the above table: select no where no = 30	30
[ header: date \| time \| opponent# \| rank# \| site \| tv \| result \| attendance row 1 : september 3, 2005 \| 8:00 pm \| at #25 pittsburgh \| None \| heinz field • pittsburgh \| abc \| w 42-21 \| 66451 row 2 : september 10, 2005 \| 12:00 pm \| at #3 michigan \| #23 \| michigan stadium • ann arbor, mi \| abc \| w 17-10 \| 111386 row 3 : september 17, 2005 \| 3:30 pm \| michigan state \| #12 \| notre dame stadium • notre dame, in \| nbc \| l 44-41 ot \| 80795 row 4 : september 24, 2005 \| 3:30 pm \| at washington \| #18 \| husky stadium • seattle wa \| abc \| w 36-17 \| 71473 row 5 : october 1, 2005 \| 7:45 pm \| at #20 purdue \| #14 \| ross-ade stadium • west la \| espn \| w 49-28 \| 65491 row 6 : october 15, 2005 \| 3:30 pm \| #1 usc \| #9 \| notre dame stadium • notre dame, in \| nbc \| l 34-31 \| 80795 row 7 : october 22, 2005 \| 2:30 pm \| byu \| #12 \| notre dame stadium • notre dame, in \| nbc \| w 49-23 \| 80795 row 8 : november 5, 2005 \| 2:30 pm \| tennessee \| #9 \| notre dame stadium • notre dame, in \| nbc \| w 41-21 \| 80795 row 9 : november 12, 2005 \| 1:00 pm \| navy \| #7 \| notre dame stadium • notre dame, in \| nbc \| w 42-21 \| 80795 row 10 : november 19, 2005 \| 2:30 pm \| syracuse \| #7 \| notre dame stadium • notre dame, in \| nbc \| w 34-10 \| 80795 row 11 : november 26, 2005 \| 8:00 pm \| at stanford \| #6 \| stanford stadium • palo alto, \| abc \| w 38-31 \| 56057 row 12 : january 2, 2006 \| 4:30 pm \| vs. #4 ohio \| #6 \| sun devil stadium • tempe, a \| abc \| l 34-20 \| 76196 ] Execute this SQL based on the above table: select date where time = ( select time where date = 'october 15, 2005' ) - 1	october 22, 2005, november 5, 2005, november 19, 2005
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1987 \| european junior championships \| birmingham, united kingdom \| None \| 20 km walk \| dq row 2 : 1990 \| european championships \| split, yugoslavia \| 4th \| 20 km walk \| 1:23.47 row 3 : 1991 \| world championships \| tokyo, japan \| 10th \| 20 km walk \| 1:21:32 row 4 : 1991 \| world championships \| tokyo, japan \| None \| 50 km walk \| dnf row 5 : 1992 \| olympic games \| barcelona, spain \| None \| 20 km walk \| dnf row 6 : 1992 \| olympic games \| barcelona, spain \| None \| 50 km walk \| dq row 7 : 1993 \| world indoor championships \| toronto, canada \| 2nd \| 5000 m walk \| 18:35.91 row 8 : 1993 \| world championships \| stuttgart, germany \| None \| 50 km walk \| dq row 9 : 1994 \| european championships \| helsinki, finland \| None \| 50 km walk \| dq row 10 : 1994 \| european championships \| helsinki, finland \| 5th \| 50 km walk \| 3:45:57 row 11 : 1995 \| world championships \| gothenburg, sweden \| 3rd \| 50 km walk \| 3:45.57 row 12 : 1996 \| olympic games \| atlanta, united states \| 8th \| 20 km walk \| 1:21:13 row 13 : 1996 \| olympic games \| atlanta, united states \| 1st \| 50 km walk \| 3:43:30 row 14 : 1997 \| world championships \| athens, greece \| 1st \| 50 km walk \| 3:44:46 row 15 : 1998 \| european championships \| budapest, hungary \| 1st \| 50 km walk \| 3:43:51 row 16 : 1999 \| world race walking cup \| mezidon-canon, france \| 4th \| 20 km walk \| 1:20:52 row 17 : 1999 \| world championships \| seville, spain \| None \| 50 km walk \| dq row 18 : 2000 \| european race walking cup \| eisenhuttenstadt, germany \| 1st \| 20 km walk \| 1:18:29 row 19 : 2000 \| olympic games \| sydney, australia \| 1st \| 20 km walk \| 1:18:59 (or) row 20 : 2000 \| olympic games \| sydney, australia \| 1st \| 50 km walk \| 3:42:22 row 21 : 2001 \| world championships \| edmonton, canada \| 1st \| 50 km walk \| 3:42.08 row 22 : 2001 \| goodwill games \| brisbane, australia \| 2nd \| 20,000 m walk \| 1:19:52.0 row 23 : 2002 \| european championships \| munich, germany \| 1st \| 50 km walk \| 3:36:39 (wr) row 24 : 2003 \| world championships \| paris, france \| 1st \| 50 km walk \| 3:36:03 row 25 : 2004 \| olympic games \| athens, greece \| 1st \| 50 km walk \| 3:38:46 ] Execute this SQL based on the above table: select count ( distinct year )	16
[ header: no. \| train no: \| origin \| destination \| train name row 1 : 1 \| 56654 \| mangalore central \| kozhikode \| passenger row 2 : 2 \| 56324 \| mangalore central \| coimbatore city junction \| fast passenger row 3 : 3 \| 56656 \| mangalore central \| kannur \| passenger row 4 : 4 \| 56643/56645 \| mangalore central \| kabakaputtur \| passenger row 5 : 5 \| 56640 \| mangalore central \| verna \| passenger row 6 : 6 \| 56647 \| mangalore central \| subrahmanya road \| passenger row 7 : 7 \| 56661 \| mangalore central \| cheruvathur \| passenger row 8 : 8 \| 70106 \| mangalore central \| bhatkal \| demu ] Execute this SQL based on the above table: select no. where train no: = '56643/56645' and no. = 4	4
[ header: date \| opponent \| venue \| result row 1 : 28 aug \| burnley \| a \| 3 - 4 row 2 : 30 aug \| leeds united \| a \| 0 - 0 row 3 : 4 sep \| west bromwich albion \| h \| 1 - 1 row 4 : 6 sep \| leeds united \| h \| 3 - 1 row 5 : 11 sep \| aston villa \| h \| 2 - 3 row 6 : 18 sep \| bolton wanderers \| a \| 0 - 2 row 7 : 20 sep \| newcastle united \| h \| 1 - 1 row 8 : 25 sep \| manchester united \| h \| 0 - 2 row 9 : 2 oct \| derby county \| a \| 3 - 6 row 10 : 9 oct \| sheffield united \| h \| 3 - 0 row 11 : 16 oct \| huddersfield town \| a \| 0 - 0 row 12 : 23 oct \| sunderland \| h \| 3 - 0 row 13 : 30 oct \| bury \| a \| 3 - 2 row 14 : 6 nov \| birmingham city \| h \| 1 - 0 row 15 : 13 nov \| tottenham hotspur \| a \| 1 - 4 row 16 : 20 nov \| west ham united \| h \| 1 - 2 row 17 : 29 nov \| sheffield wednesday \| a \| 0 - 3 row 18 : 4 dec \| leicester city \| h \| 0 - 1 row 19 : 11 dec \| everton \| a \| 1 - 0 row 20 : 18 dec \| blackburn rovers \| h \| 0 - 1 row 21 : 25 dec \| newcastle united \| a \| 0 - 5 row 22 : 27 dec \| arsenal \| h \| 2 - 0 row 23 : 1 jan \| arsenal \| a \| 2 - 3 row 24 : 15 jan \| burnley \| h \| 0 - 0 row 25 : 31 jan \| aston villa \| a \| 0 - 0 row 26 : 5 feb \| bolton wanderers \| h \| 1 - 0 row 27 : 12 feb \| manchester united \| a \| 1 - 1 row 28 : 21 feb \| west bromwich albion \| a \| 2 - 1 row 29 : 26 feb \| sheffield united \| a \| 1 - 3 row 30 : 12 mar \| sunderland \| a \| 2 - 2 row 31 : 16 mar \| derby county \| h \| 2 - 0 row 32 : 19 mar \| bury \| h \| 2 - 1 row 33 : 21 mar \| huddersfield town \| h \| 2 - 0 row 34 : 2 apr \| tottenham hotspur \| h \| 1 - 2 row 35 : 7 apr \| leicester city \| a \| 1 - 3 row 36 : 9 apr \| west ham united \| a \| 2 - 2 row 37 : 15 apr \| liverpool \| a \| 0 - 5 row 38 : 16 apr \| sheffield wednesday \| h \| 3 - 2 row 39 : 18 apr \| liverpool \| h \| 2 - 0 row 40 : 27 apr \| birmingham city \| a \| 2 - 1 row 41 : 30 apr \| everton \| h \| 1 - 0 row 42 : 7 may \| blackburn rovers \| a \| 0 - 1 ] Execute this SQL based on the above table: select opponent order by opponent limit 1	arsenal
[ header: year \| ibm model number \| name \| processor \| bus \| hd interface \| case \| notes row 1 : 1987 \| 8525-004 \| model 25 \| 8 mhz intel 8086 \| isa 8 bit \| None \| desktop with integrated color display \| single disk drive row 2 : 1987 \| 8525-g04 \| model 25 \| 8 mhz intel 8086 \| isa 8 bit \| None \| desktop with integrated color display \| single disk drive, enhanced keyboard row 3 : 1987 \| 8525-c02 \| model 25 collegiate \| 8 mhz intel 8086 \| isa 8 bit \| None \| desktop with integrated monochrome display \| two disk drives row 4 : 1987 \| 8525-c05 \| model 25 collegiate \| 8 mhz intel 8086 \| isa 8 bit \| None \| desktop with integrated color display \| two disk drives row 5 : 1987 \| 8525-k02 \| model 25 collegiate \| 8 mhz intel 8086 \| isa 8 bit \| None \| desktop with integrated monochrome display \| two disk drives, enhanced keyboard row 6 : 1990 \| 8525-006 \| model 25 286 \| 10 mhz intel 286 \| isa 16 bit \| None \| desktop with integrated color display \| single hd disk drive row 7 : 1992 \| 8525-k01 \| model 25 sx \| 16 mhz intel 386 \| isa 16 bit \| None \| desktop with integrated color display \| single hd disk drive, ethernet row 8 : 1992 \| 8525-l02 \| model 25 sx \| 16 mhz intel 386 \| isa 16 bit \| None \| desktop with integrated color display \| single hd disk drive, token-ring row 9 : 1987 \| 8530-002 \| model 30 \| 8 mhz intel 8086 \| isa 8 bit \| None \| desktop \| two disk drives row 10 : 1988 \| 8530-e01 \| model 30 286 \| 10 mhz intel 286 \| isa 16 bit \| None \| desktop \| single hd disk drive row 11 : 1989 \| 8530-e31 \| model 30 286 \| 10 mhz intel 286 \| isa 16 bit \| esdi, 30mb \| desktop \| single hd disk drive row 12 : 1987 \| 8530-r02 \| model 30 \| 8 mhz intel 8086 \| isa 8 bit \| None \| desktop, intelligent financial workstation \| two disk drives, 4700 host support row 13 : 1987 \| 8560 \| 60 \| intel 80286 \| mca 16 bit \| mfm or esdi \| tower \| None row 14 : 1988 \| 8550-031, 8550-061 \| 50 z \| intel 80286 \| mca 16 bit \| None \| desktop \| None row 15 : 1989 \| 8555 \| 55 sx \| intel 80386 sx \| mca 16 bit \| esdi \| desktop \| None row 16 : 1990 \| 8573 \| p75 486 \| intel 80486 \| mca 32 bit \| scsi \| portable \| 4 mca slots, two full length, row 17 : 1990 \| 8580 \| 80 \| intel 80386 dx \| mca 32 bit \| scsi \| tower \| None row 18 : 1990 \| 8565 \| 65 sx \| intel 80386 sx \| mca 16 bit \| scsi \| tower \| None row 19 : 1990 \| 8590 \| 90 xp 486 \| intel 80486 \| mca 32 bit \| scsi \| desktop \| None row 20 : 1991 \| 8540 \| 40 sx \| intel 80386 sx \| isa 16 bit \| None \| desktop \| None row 21 : 1991 \| 8557 \| 57 sx \| intel 80386 sx \| mca 16 bit \| scsi \| desktop \| None row 22 : 1991 \| 8570 \| 70 \| intel 80386 dx, in \| mca 32 bit \| None \| desktop \| None ] Execute this SQL based on the above table: select count ( * ) where bus = 'isa 8 bit'	7
[ header: year \| film \| role \| language \| notes row 1 : 2009 \| toss: a flip of destiny \| sherry \| hindi \| None row 2 : 2009 \| aa okkadu \| dr. pavitra \| telugu \| None row 3 : 2010 \| mouna ragam \| sandhya \| telugu \| None row 4 : 2010 \| saradaga kasepu \| manimala \| telugu \| None row 5 : 2010 \| orange \| madhu \| telugu \| special appearance row 6 : 2012 \| kamaal dhamaal malam \| maria \| hindi \| None row 7 : 2013 \| mahankali \| tanisha \| telugu \| None row 8 : 2013 \| shadow \| None \| telugu \| None row 9 : 2013 \| eepeeko \| None \| tamil \| filming row 10 : 2013 \| black coffee \| None \| malayalam \| filming row 11 : 2014 \| koothara \| shaista \| malayalam \| filming row 12 : 2014 \| kotha janta \| None \| telugu \| filming row 13 : 2013 \| serndhu polama \| None \| tamil \| filming ] Execute this SQL based on the above table: select count ( film ) where film != 'koothara' and notes = ( select notes where film = 'koothara' )	4
[ header: country \| alternante title \| tv network(s) \| series premiere \| series finale row 1 : mexico \| la fuerza del destino \| canal de las estrellas \| march 14, 2011 \| july 31, 2011 row 2 : colombia \| la fuerza del destino \| rcn tv \| may 2, 2011 \| september 20, 2011 row 3 : venezuela \| la fuerza del destino \| venevision \| may 5, 2011 \| september 20, 2011 row 4 : peru \| la fuerza del destino \| america tv \| may 23, 2011 \| november 11, 2011 row 5 : usa \| la fuerza del destino \| univision \| august 2, 2011 \| december 26, 2011 row 6 : albania \| forca e fatit \| vizion plus \| august 29, 2011 \| january 9, 2012 row 7 : poland \| miłosc i przeznac \| tv puls \| september 5, 2011 \| february 7, 2012 row 8 : serbia \| tajna ljuba \| rtv pink pink soap \| september 12, 2011 july 3, 2013 \| april 13, 2012 octo row 9 : spain \| la fuerza del destino \| la 1 \| september 21, 2011 \| january 25, 2012 row 10 : bosnia and herzegovin \| tajna ljuba \| pink bh \| november 22, 2011 \| may 16, 2012 row 11 : montenegro \| tajna ljuba \| pink m \| december 19, 2011 \| may 2, 2012 row 12 : lithuania \| likimo galia \| tv3 \| january 4, 2012 \| may 31, 2012 row 13 : hungary \| a vegzet hatal \| story4 \| january 9, 2012 \| june 1, 2012 row 14 : panama \| la fuerza del destino \| canal 13 \| january 16, 2012 \| may 7, 2012 row 15 : chile \| la fuerza del destino \| mega tv \| january 31, 2012 \| april 19, 2012 row 16 : romania \| forta destinului \| acasa tv \| march 26, 2012 \| may 28, 2012 row 17 : iran \| the power of destiny \| farsi1 \| march 10, 2012 \| july 28, 2012 row 18 : israel \| כוחו של גורל \| viva \| april 19, 2012 \| september 21, 2012 row 19 : croatia \| moc sudbine \| hrt \| june 5, 2012 \| october 9, 2012 row 20 : slovenia \| moc usode \| pop tv \| july 12, 2012 \| november 30, 2012 row 21 : macedonia \| силата на судб \| pink 15 \| 2011 \| 2011 row 22 : morocco \| al maktoub المكتوب \| 2m tv \| august 14, 2013 \| january 2, 2014 row 23 : cyprus \| η εκδικηση \| ant1 \| october 15, 2013 \| present row 24 : france \| la force du destin \| idf1 \| september 23, 2013 \| december 2, 2013 row 25 : cameroon \| la force du destin \| canal 2 international \| september 23, 2013 \| december 2, 2014 row 26 : romania \| forta destinului \| acasa tv \| february 7, 2014 \| present ] Execute this SQL based on the above table: select count ( tv network(s) ) where series finale = 'may 28, 2012'	1
[ header: # \| title \| songwriters \| producer(s) \| performer (s) row 1 : 1 \| "creative control" \| o. credle, l. bas \| organized konfusion \| o.c row 2 : 2 \| "word...life" \| o. credle, a. best \| buckwild \| o.c row 3 : 3 \| "o-zone" \| o. credle, a. best \| buckwild \| o.c row 4 : 4 \| "born 2 live" \| o. credle, a. best \| buckwild \| o.c row 5 : 5 \| "time's up" \| o. credle, a. best \| buckwild \| o.c row 6 : 6 \| "point o' viewz" \| o. credle, d. van \| buckwild, prestige \| o.c row 7 : 7 \| "constables" \| o. credle, l. bas \| organized konfusion \| o.c row 8 : 8 \| "ga head" \| o. credle, r. hall \| lord finesse \| o.c row 9 : 9 \| "no main topic" \| o. credle, g. \| dj ogee/o. \| o.c., prince po row 10 : 10 \| "let it slide" \| o. credle, a. best \| buckwild \| o.c., pharo row 11 : 11 \| "ma dukes" \| o. credle, a. best \| buckwild \| o.c row 12 : 12 \| "story" \| o. credle, g. \| dj ogee/o. \| o.c row 13 : 13 \| "outtro (sabotage) \| o. credle, a. best \| buckwild \| o.c row 14 : 14 \| "born 2 live (remix)" \| o. credle, a. best \| organized konfusion \| o.c ] Execute this SQL based on the above table: select title where title = '"outtro (sabotage)"' and producer(s) = 'buckwild'	"outtro (sabotage)"
[ header: athlete \| nation \| olympics \| gold \| silver \| bronze \| total row 1 : philipp schoch \| switzerland (sui) \| 2002-2006 \| 2 \| 0 \| 0 \| 2 row 2 : shaun white \| united states (usa) \| 2006-2014 \| 2 \| 0 \| 0 \| 2 row 3 : seth wescott \| united states (usa) \| 2006-2010 \| 2 \| 0 \| 0 \| 2 row 4 : karine ruby \| france (fra) \| 1998-2002 \| 1 \| 1 \| 0 \| 2 row 5 : hannah teter \| united states (usa) \| 2006-2014 \| 1 \| 1 \| 0 \| 2 row 6 : ross powers \| united states (usa) \| 1998-2002 \| 1 \| 0 \| 1 \| 2 row 7 : kelly clark \| united states (usa) \| 2002-2014 \| 1 \| 0 \| 2 \| 3 row 8 : danny kass \| united states (usa) \| 2002-2006 \| 0 \| 2 \| 0 \| 2 ] Execute this SQL based on the above table: select olympics where athlete = 'karine ruby'	1998-2002
[ header: year \| number \| name row 1 : 1884-1885 \| 7 \| lukin homphrey i row 2 : 1889-1890 \| 6 \| septimus julius augustus deni row 3 : 1901 \| 154 \| f.m. gaudet row 4 : 1907 \| 139 \| c.r.f. cout row 5 : 1910 \| 63 \| george hooper row 6 : 1913 \| 268 \| henry robert visart de row 7 : 1928 \| 555 \| r.r. carr-harri row 8 : 1930-1931 \| 1119 \| j.h. price row 9 : 1940-1941 \| 803 \| j.v. young row 10 : 1945 \| 982 \| d.w. mackeen row 11 : 1948 \| 1855 \| ian s. johnston row 12 : 1951 \| 1860 \| nicol kingsmill row 13 : 1957 \| 1954 \| w.p. carr row 14 : 1962 \| 2183 \| james e. pepall row 15 : 1968-1969 \| rcnc90 \| john f. frank row 16 : 1986-1987 \| 5604 \| ken smee row 17 : 1996-1997 \| 3550 \| murray johnston row 18 : 2002-2003 \| 6777 \| michel charron row 19 : 2005-2006 \| 10080 \| robert booth row 20 : 2013 \| m0058 \| marc drolet (first u row 21 : 1891 \| 10 \| victor brereton rivers row 22 : 1895-1896 \| 15 \| francis joseph dixon row 23 : 1899 \| 14 \| john bray cochrane row 24 : 1902 \| 47 \| ernest frederick w row 25 : 1908 \| 232 \| john houlison row 26 : 1911 \| 255 \| h.a. panet row 27 : 1923 \| 377 \| a.c. caldwell row 28 : 1929 \| 667 \| e.g. hanson row 29 : 1932 \| 472 \| a.r. chipman row 30 : 1936-1937 \| 877 \| g.l. magann row 31 : 1946 \| 1841 \| d.g. cunningham row 32 : 1952 \| 1828 \| ted g.e. beament row 33 : 1955 \| 1474 \| de l.h.m panet row 34 : 1960 \| 1379 \| h.a. mackenzie row 35 : 1980-1981 \| 3251 \| jim tremain row 36 : 2000-2001 \| 5758 \| michael morres row 37 : 2003-2004 \| 7776 \| chris lythgo row 38 : 1892 \| 86 \| reuben wells leonard row 39 : 1897 \| 48 \| a.k. kirkpatrick row 40 : 1900 \| 41 \| robert cartwright row 41 : 1909 \| 91 \| j.d. gibson row 42 : 1912 \| 246 \| major-general sir henry e row 43 : 1920 \| 293 \| c.j. armstrong row 44 : 1927 \| 623 \| s.b. coristine row 45 : 1938-1939 \| 1003 \| a.m. mitchell row 46 : 1950 \| 1542 \| e.w. crowe row 47 : 1953 \| 1620 \| r.r. labatt row 48 : 1961 \| 2157 \| j.h.r. gagnon row 49 : 1964 \| 2351 \| guy savard row 50 : 1981-1982 \| 2897 \| herb pitts row 51 : 1992-1993 \| h3356 \| robin cumine row 52 : 1995-1996 \| 5739 \| andre costin ] Execute this SQL based on the above table: select number where name = 'd.g. cunningham'	1841
[ header: year \| title \| system \| developer \| publisher row 1 : 1984 \| ghostbusters \| atari 800, commodore 64 \| activision \| activision row 2 : 1985 \| ghostbusters \| atari 2600, apple ii \| activision \| activision row 3 : 1987 \| the real ghostbusters \| arcade \| data east \| data east row 4 : 1987 \| ghostbusters \| sega master system \| activision \| sega row 5 : 1988 \| ghostbusters \| nes \| bits laboratory \| activision/tokuma shoten row 6 : 1989 \| the real ghostbusters \| commodore 64, amiga, \| data east \| activision row 7 : 1989 \| ghostbusters ii \| atari 2600, amiga, com \| activision \| activision row 8 : 1990 \| ghostbusters ii \| nes \| kemco \| activision row 9 : 1990 \| ghostbusters \| sega mega drive/genesis \| sega \| sega row 10 : 1990 \| new ghostbusters 2 \| game boy, nes \| hal laboratory \| activision row 11 : 1993 \| the real ghostbusters \| game boy \| kemco \| activision row 12 : 2009 \| ghostbusters: the video game \| playstation 3, playstation 2, playstation portable, \| terminal reality, red fly studios, zen \| atari, sony computer entertainment (europe only row 13 : 2011 \| ghostbusters: sanctum of slime \| playstation network, xbox live, \| behaviour interactive \| atari row 14 : 2012 \| ghostbusters: paranormal blast \| android, ios \| xmg studio \| None row 15 : 2013 \| ghostbusters \| ios \| beeline interactive \| capcom ] Execute this SQL based on the above table: select count ( publisher ) where year = 2009	1
[ header: season \| tier \| division \| place row 1 : 1992-96 \| 5 \| regional \| None row 2 : 1996/97 \| 4 \| 3a \| 16th row 3 : 1997/98 \| 4 \| 3a \| 5th row 4 : 1998/99 \| 4 \| 3a \| 12th row 5 : 1999/00 \| 4 \| 3a \| 4th row 6 : 2000/01 \| 4 \| 3a \| 6th row 7 : 2001/02 \| 4 \| 3a \| 4th row 8 : 2002/03 \| 4 \| 3a \| 3rd row 9 : 2003/04 \| 3 \| 2ab \| 19th row 10 : 2004/05 \| 4 \| 3a \| 2nd ] Execute this SQL based on the above table: select ( select tier where place = '5th' ) - ( select tier where place = '4th' )	0.0
[ header: city of licence \| analog channel \| digital channel \| virtual channel \| callsign \| network \| notes row 1 : brandon \| 4 \| None \| None \| ckyb-tv \| ctv \| satellite of cky-dt winn row 2 : dauphin \| 12 \| None \| None \| ckyd-tv \| ctv \| satellite of cky-dt winn row 3 : fisher branch \| 8 \| None \| None \| ckya-tv \| ctv \| satellite of cky-dt winn row 4 : flin flon \| 13 \| None \| None \| ckyf-tv \| ctv \| satellite of cky-dt winn row 5 : mccreary \| 13 \| None \| None \| ckyb-tv \| ctv \| satellite of cky-dt winn row 6 : minnedosa \| 2 \| None \| None \| cknd-tv-2 \| global \| None row 7 : the pas \| 12 \| None \| None \| ckyp-tv \| ctv \| satellite of cky-dt winn row 8 : portage la prairie \| None \| 13 \| 13.1 \| chmi-dt \| city \| None row 9 : thompson \| 9 \| None \| None \| ckyt-tv \| ctv \| satellite of cky-dt winn row 10 : winnipeg \| None \| 51 \| 3.1 \| cbwft-dt \| r-c \| None row 11 : winnipeg \| None \| 27 \| 6.1 \| cbwt-dt \| cbc \| None row 12 : winnipeg \| None \| 7 \| 7.1 \| cky-dt \| ctv \| None row 13 : winnipeg \| None \| 40 \| 9.1 \| cknd-dt \| global \| None row 14 : winnipeg \| None \| 13 \| 13.1 \| chmi-dt \| city \| mts tv hd row 15 : winnipeg \| None \| 35 \| 35.1 \| ciit-dt \| religious independent \| None ] Execute this SQL based on the above table: select city of licence order by digital channel / digital channel desc limit 1	portage la prairie
[ header: date \| race name \| location \| uci rating \| winner \| team row 1 : 16-21 january \| la tropicale amissa bongo \| gabon \| 2.2 \| frederic guesdon (fr \| francaise des jeux row 2 : 8-14 february \| tour d'egypte \| egypt \| 2.2 \| waylon woolcock (rsa) \| south africa (national team) row 3 : 16 february \| gp of sharm el \| egypt \| 1.2 \| jan sipeky (svk) \| dukla trencin-merida row 4 : 24 february-9 march \| tour du cameroun \| cameroon \| 2.2 \| flavien chipault (fra) \| leboulou row 5 : 6-11 march \| giro del capo \| south africa \| 2.2 \| alexander efimkin (rus \| barloworld row 6 : 17-23 march \| tour of libya \| libya \| 2.2 \| ahmed mohamed ali ( \| libya (national team) row 7 : 8 april \| grand prix de la ville de tunis \| tunisia \| 1.2 \| ahmed mraihi ( \| tunisia (national team) row 8 : 28 april-5 may \| tour de la pharmacie centrale de tunisie \| tunisia \| 2.2 \| hassen ben nasser ( \| pharmacie centrale row 9 : 14-20 may \| boucle du coton \| burkina faso \| 2.2 \| saidou rouamba (bur) \| burkina faso (national row 10 : 8-17 june \| tour du maroc \| morocco \| 2.2 \| nicholas white (rsa \| south africa (national team) row 11 : 30 august-8 september \| tour du senegal \| senegal \| 2.2 \| adil jelloul (mar) \| frmc-maroc row 12 : 16 september \| dome 2 dome cycling spectacular \| south africa \| 1.2 \| jaco venter (rsa) \| team neotel ] Execute this SQL based on the above table: select count ( * ) where location = 'egypt'	2
[ header: party \| candidate \| votes row 1 : labour \| james kinney \| 5513 row 2 : labour \| james east \| 4847 row 3 : labour \| rice sheppard \| 4644 row 4 : citizens' committee \| percy abbott \| 4233 row 5 : citizens' committee \| john bowen \| 4093 row 6 : citizens' committee \| george h. scott \| 3835 row 7 : labour \| james findlay \| 3775 row 8 : labour \| j. j. murray \| 3696 row 9 : citizens' committee \| valentine richards \| 3524 row 10 : citizens' committee \| charles grant \| 3230 row 11 : independent \| charles g. davidson \| 2982 row 12 : independent \| joseph adair \| 2356 ] Execute this SQL based on the above table: select candidate group by candidate order by count ( * ) desc limit 1	valentine richards
[ header: year \| team \| co-drivers \| car \| class \| laps \| pos. \| class pos. row 1 : 1972 \| ford motor company deutschland \| jochen mass \| ford capri 2600rs \| s 3.0 \| 152 \| dnf \| dnf row 2 : 1973 \| bmw motorsport \| chris amon \| bmw 3.0csl \| t 5.0 \| 160 \| dnf \| dnf row 3 : 1980 \| bmw motorsport gmbh \| hans-georg burger dominique \| bmw m1 \| imsa \| 283 \| 15th \| 5th row 4 : 1981 \| basf cassetten team gs sport \| jean-pierre jarier hel \| bmw m1 \| imsa gtx \| 57 \| dnf \| dnf row 5 : 1982 \| basf cassetten team gs sport \| jean-louis schlesser \| sauber shs c6-ford \| c \| 76 \| dnf \| dnf row 6 : 1985 \| rothmans porsche \| derek bell \| porsche 962c \| c1 \| 367 \| 3rd \| 3rd row 7 : 1986 \| rothmans porsche \| derek bell al holbert \| porsche 962c \| c1 \| 368 \| 1st \| 1st row 8 : 1987 \| rothmans porsche ag \| derek bell al holbert \| porsche 962c \| c1 \| 368 \| 1st \| 1st row 9 : 1988 \| porsche ag \| klaus ludwig dere \| porsche 962c \| c1 \| 394 \| 2nd \| 2nd row 10 : 1989 \| joest racing \| bob wollek \| porsche 962c \| c1 \| 382 \| 3rd \| 3rd row 11 : 1990 \| joest porsche racing \| derek bell frank jelin \| porsche 962c \| c1 \| 350 \| 4th \| 4th row 12 : 1991 \| konrad motorsport \| derek bell frank jelin \| porsche 962c \| c2 \| 347 \| 7th \| 7th row 13 : 1993 \| le mans porsche team \| walter rohrl hurley \| porsche 911 turbo s lm- \| gt \| 79 \| dnf \| dnf row 14 : 1994 \| le mans porsche team joest racing \| thierry boutsen danny \| dauer 962 le mans \| gt1 \| 343 \| 3rd \| 2nd row 15 : 1995 \| porsche kremer racing \| thierry boutsen christoph \| kremer k8 spyder \| wsc \| 289 \| 6th \| 2nd row 16 : 1996 \| porsche ag \| thierry boutsen bob \| porsche 911 gt1 \| gt1 \| 353 \| 2nd \| 1st row 17 : 1997 \| porsche ag \| thierry boutsen bob \| porsche 911 gt1 \| gt1 \| 238 \| dnf \| dnf row 18 : 1998 \| team bmw motorsport \| steve soper tom kristen \| bmw v12 lm \| lmp1 \| 60 \| dnf \| dnf ] Execute this SQL based on the above table: select count ( car ) where year > 1	18
[ header: title \| year \| publisher \| developer \| platforms row 1 : the hobbit \| 1982 \| melbourne house \| beam software \| amstrad cpc, z row 2 : war in middle-earth \| 1988 \| melbourne house \| melbourne house \| c64, spectrum, amstrad row 3 : the lord of the rings volume 1 \| 1990 \| interplay, electronic arts \| interplay, chaos studios (amiga \| amiga, ibm pc row 4 : the lord of the rings volume 2 \| 1992 \| interplay \| interplay \| ibm pc row 5 : riders of rohan \| 1991 \| konami, mirrorsoft \| beam software, papyrus \| ibm pc row 6 : the lord of the rings volume 1 \| 1994 \| interplay \| interplay \| super nes row 7 : the lord of the rings: the fellowship \| 2002 \| vivendi universal games \| pocket studios \| game boy advance row 8 : the lord of the rings: the two \| 2002 \| electronic arts \| stormfront studios hypnos entertainment (g \| playstation 2, xbox, ninte row 9 : the lord of the rings: the return \| 2003 \| electronic arts aspyr (mac os \| electronic arts,hypnos entertainment (gcn \| ms windows, playstation 2, x row 10 : the lord of the rings: the return \| 2003 \| electronic arts \| griptonite games \| game boy advance row 11 : the hobbit \| 2003 \| sierra \| midway austin \| ms windows, playstation 2, x row 12 : the lord of the rings: the battle \| 2004 \| electronic arts \| ea los angeles \| ms windows row 13 : the lord of the rings: tactics \| 2005 \| electronic arts \| amaze \| playstation portable row 14 : the lord of the rings: the battle \| 2006 \| electronic arts \| ea los angeles \| ms windows, xbox 360 row 15 : the lord of the rings online: shadow \| 2007 \| turbine, inc., midway \| turbine, inc \| ms windows row 16 : the lord of the rings online: mine \| 2008 \| turbine, inc., midway \| turbine, inc \| ms windows row 17 : the lord of the rings online: sie \| 2009 \| turbine, inc \| turbine, inc \| ms windows row 18 : the lord of the rings: a \| 2010 \| warner bros. interactive entertainment \| headstrong games tt fusion \| wii, nintendo d row 19 : the lord of the rings: war in \| 2011 \| warner bros. interactive entertainment \| snowblind studios \| playstation 3, ms windows, x row 20 : the lord of the rings online: riders \| 2012 \| warner bros. interactive entertainment \| turbine, inc \| ms windows row 21 : lego the lord of the rings \| 2012 \| warner bros. interactive entertainment \| traveler's tales \| ms windows, wii, n row 22 : the hobbit: armies of the third \| 2013 \| None \| kabam \| browser game ] Execute this SQL based on the above table: select publisher where publisher = 'electronic arts' and title = 'the lord of the rings: the return of the king'	electronic arts
[ header: fence \| name \| jockey \| age \| handicap (st-lb) \| starting price \| fate row 1 : 22 \| what a myth \| paul kelleway \| 9 \| 11-4 \| 11/2 \| fell row 2 : 3 \| rough tweed \| pat buckley \| 12 \| 10-7 \| 22/1 \| fell row 3 : None \| kapeno \| david mould \| 9 \| 10-6 \| 100/7 \| fell row 4 : 6 \| packed home \| tommy carberry \| 11 \| 10-3 \| 33/1 \| fell row 5 : 22 \| greek scholar \| michael scudamore \| 7 \| 10-4 \| 50/1 \| fell row 6 : None \| brown diamond \| frank shortt \| 11 \| 10-0 \| 100/1 \| fell row 7 : 6 \| popham down \| willie robinson \| 9 \| 10-0 \| 22/1 \| fell row 8 : None \| pontin-go \| tm jones \| 14 \| 10-0 \| 100/1 \| fell row 9 : 15 \| game purston \| paddy cowley \| 8 \| 10-0 \| 100/1 \| fell row 10 : 22 \| supersweet \| mr d crossley-cook \| 9 \| 10-6 \| 100/1 \| fell row 11 : None \| major hitch \| paddy broderick \| 8 \| 10-1 \| 50/1 \| fell row 12 : 15 \| irish day \| jimmy magee \| 10 \| 10-0 \| 40/1 \| fell row 13 : None \| scottish final \| j gamble \| 9 \| 10-0 \| 100/1 \| fell row 14 : None \| flamecap \| f carroll \| 9 \| 10-0 \| 100/1 \| fell row 15 : 15 \| black spot \| jeremy speid-soo \| 9 \| 10-0 \| 100/1 \| fell row 16 : None \| harry black \| r court \| 9 \| 10-0 \| 100/1 \| fell row 17 : None \| flying wild \| pat taaffe \| 10 \| 11-0 \| 20/1 \| pulled up row 18 : None \| stirling \| hr beasley \| 10 \| 10-11 \| 28/1 \| pulled up row 19 : None \| vultrix \| stan mellor \| 8 \| 10-7 \| 100/7 \| pulled up row 20 : None \| solimyth \| mr john lawrence \| 10 \| 10-1 \| 100/1 \| pulled up row 21 : None \| april rose \| major piers bengough \| 11 \| 10-7 \| 100/1 \| pulled up row 22 : None \| l'empereur \| beltran osorio \| 12 \| 10-2 \| 100/1 \| pulled up row 23 : 14 \| willow king \| liam mcloughlin \| 11 \| 10-0 \| 100/1 \| pulled up row 24 : None \| royal ryse \| t hyde \| 8 \| 10-0 \| 100/1 \| pulled up row 25 : None \| mac's flare \| r langley \| 10 \| 10-0 \| 100/1 \| pulled up row 26 : None \| king pin \| mr tim durant \| 10 \| 10-11 \| 100/1 \| pulled up row 27 : None \| in haste \| j leech \| 8 \| 10-3 \| 100/1 \| pulled up row 28 : None \| my gift \| a redmond \| 10 \| 10-0 \| 100/1 \| pulled up row 29 : None \| bold biri \| j lehane \| 10 \| 10-0 \| 100/1 \| pulled up row 30 : 22 \| valouis \| e prendergast \| 7 \| 10-0 \| 50/1 \| brought down row 31 : 22 \| leslie \| mr jm opperman \| 10 \| 10-5 \| 100/1 \| brought down row 32 : None \| dorimont \| mr w shand-ky \| 12 \| 10-0 \| 50/1 \| unseated rider row 33 : 15 \| fujino-o \| jeff king \| 7 \| 12-0 \| 100/1 \| refused row 34 : None \| monarch's thought \| g cramp \| 12 \| 10-0 \| 100/1 \| refused row 35 : 6 \| groomsman \| mr s roberts \| 11 \| 11-0 \| 100/1 \| refused ] Execute this SQL based on the above table: select count ( fate ) where age >= 8	32
[ header: model name \| length \| width \| height \| riders \| capacity \| description \| portable \| notes row 1 : skater \| 21.5 m (71 ft) \| 11.65 m (38.2 f \| 10.69 m (35.1 ft) \| 24 \| 600 \| small halfpipe with inwards-facing seats \| yes \| row 2 : disk'o \| 24.55 m (80.5 ft \| 9.68 m (31.8 ft) \| 10 m (33 ft) \| 24 \| 600 \| small halfpipe with outwards-facing seats \| yes \| row 3 : surf's up \| 29 m (95 ft) \| 11 m (36 ft) \| 7.5 m (25 ft) \| 20 \| 480 \| small halfpipe with hill in middle. guests stand \| yes \| row 4 : mega disk'o \| 37.5 m (123 ft) \| 10 m (33 ft) \| 15.5 m (51 ft) \| 24 \| 600 \| large halfpipe with outwards-facing seats \| no \| row 5 : mega disk'o \| 37.5 m (123 ft) \| 10 m (33 ft) \| 15.5 m (51 ft) \| 40 \| 1000 \| large halfpipe with outwards-facing seats \| no \| row 6 : skater coaster \| None \| None \| None \| None \| None \| large halfpipe with hill in middle. inward \| None \| row 7 : disk'o coaster \| 81.5 m (267 ft) \| 11.3 m (37 ft) \| 15.5 m (51 ft) \| 24 \| 500 \| large halfpipe with hill in middle. outward \| no \| row 8 : disk'o coaster \| 81.5 m (267 ft) \| 11.3 m (37 ft) \| 15.5 m (51 ft) \| 40 \| 600 \| large halfpipe with hill in middle. outward \| no \| ] Execute this SQL based on the above table: select portable order by id desc limit 1	no
[ header: # \| event year \| season \| flag bearer row 1 : 7 \| 2012 \| summer \| ele opeloge row 2 : 6 \| 2008 \| summer \| ele opeloge row 3 : 5 \| 2004 \| summer \| uati maposua row 4 : 4 \| 2000 \| summer \| pauga lalau row 5 : 3 \| 1996 \| summer \| bob gasio row 6 : 2 \| 1988 \| summer \| henry smith row 7 : 1 \| 1984 \| summer \| apelu ioane ] Execute this SQL based on the above table: select season where id = 1	summer
[ header: \| 1965 \| 1960 \| 1960 \| 1970 \| 1970 row 1 : world \| 3334874000 \| 3021475000 \| 313399000 \| 3692492000 \| 357618000 row 2 : africa \| 313744000 \| 277398000 \| 36346000 \| 357283000 \| 43539000 row 3 : asia \| 1899424000 \| 1701336000 \| 198088000 \| 2143118000 \| 243694000 row 4 : europe \| 634026000 \| 604401000 \| 29625000 \| 655855000 \| 21829000 row 5 : latin america \| 250452000 \| 218300000 \| 1270000 \| 284856000 \| 34404000 row 6 : northern america \| 219570000 \| 204152000 \| 15418000 \| 231937000 \| 12367000 row 7 : oceania \| 17657000 \| 15888000 \| 1769000 \| 19443000 \| 1786000 ] Execute this SQL based on the above table: select order by desc limit 1	world
[ header: team \| winners \| runners-up \| years won \| years runner-up row 1 : liverpool \| 8 \| 3 \| 1981, 1982, 1983, 1984, 1995, \| 1978, 1987, 2005 row 2 : aston villa \| 5 \| 3 \| 1961, 1975, 1977, 1994, 1996 \| 1963, 1971, 2010 row 3 : manchester united \| 4 \| 4 \| 1992, 2006, 2009, 2010 \| 1983, 1991, 1994, 2003 row 4 : tottenham hotspur \| 4 \| 3 \| 1971, 1973, 1999, 2008 \| 1982, 2002, 2009 row 5 : chelsea \| 4 \| 2 \| 1965, 1998, 2005, 2007 \| 1972, 2008 row 6 : nottingham forest \| 4 \| 2 \| 1978, 1979, 1989, 1990 \| 1980, 1992 row 7 : leicester city \| 3 \| 2 \| 1964, 1997, 2000 \| 1965, 1999 row 8 : manchester city \| 3 \| 1 \| 1970, 1976, 2014 \| 1974 row 9 : arsenal \| 2 \| 5 \| 1987, 1993 \| 1968, 1969, 1988, 2007, 2011 row 10 : norwich city \| 2 \| 2 \| 1962, 1985 \| 1973, 1975 row 11 : birmingham city \| 2 \| 1 \| 1963, 2011 \| 2001 row 12 : wolverhampton wanderers \| 2 \| 0 \| 1974, 1980 \| None row 13 : west bromwich albion \| 1 \| 2 \| 1966 \| 1967, 1970 row 14 : middlesbrough \| 1 \| 2 \| 2004 \| 1997, 1998 row 15 : queens park rangers \| 1 \| 1 \| 1967 \| 1986 row 16 : leeds united \| 1 \| 1 \| 1968 \| 1996 row 17 : stoke city \| 1 \| 1 \| 1972 \| 1964 row 18 : luton town \| 1 \| 1 \| 1988 \| 1989 row 19 : sheffield wednesday \| 1 \| 1 \| 1991 \| 1993 row 20 : swindon town \| 1 \| 0 \| 1969 \| None row 21 : oxford united \| 1 \| 0 \| 1986 \| None row 22 : blackburn rovers \| 1 \| 0 \| 2002 \| None row 23 : swansea city \| 1 \| 0 \| 2013 \| None row 24 : west ham united \| 0 \| 2 \| None \| 1966, 1981 row 25 : everton \| 0 \| 2 \| None \| 1977, 1984 row 26 : bolton wanderers \| 0 \| 2 \| None \| 1995, 2004 row 27 : sunderland \| 0 \| 2 \| None \| 1985, 2014 row 28 : rotherham united \| 0 \| 1 \| None \| 1961 row 29 : rochdale \| 0 \| 1 \| None \| 1962 row 30 : newcastle united \| 0 \| 1 \| None \| 1976 row 31 : southampton \| 0 \| 1 \| None \| 1979 row 32 : oldham athletic \| 0 \| 1 \| None \| 1990 row 33 : tranmere rovers \| 0 \| 1 \| None \| 2000 row 34 : wigan athletic \| 0 \| 1 \| None \| 2006 row 35 : cardiff city \| 0 \| 1 \| None \| 2012 row 36 : bradford city \| 0 \| 1 \| None \| 2013 ] Execute this SQL based on the above table: select ( select count ( * ) where runners-up < 165 ) > 0	1
[ header: pick # \| cfl team \| player \| position \| college row 1 : 25 \| montreal alouettes \| shawn gifford \| ot \| charleston southern row 2 : 26 \| toronto argonauts \| kevin eiben \| s \| bucknell row 3 : 27 \| winnipeg blue bombers \| nick tsatsaronis \| rb \| memphis row 4 : 28 \| hamilton tiger-cats \| ryan donnelly \| ol \| mcmaster row 5 : 29 \| montreal alouettes \| peter moore \| dl \| syracuse row 6 : 30 \| calgary stampeders \| andrew carter \| ol \| bishop's row 7 : 31 \| montreal alouettes \| steven maheu \| wr/qb \| simon fraser row 8 : 32 \| bc lions \| kelly bates \| ol \| saskatchewan ] Execute this SQL based on the above table: select cfl team where cfl team >= 344	montreal alouettes, toronto argonauts, winnipeg blue bombers, hamilton tiger-cats, montreal alouettes, calgary stampeders, montreal alouettes, bc lions
[ header: season \| champion \| runner-up \| score \| third place row 1 : 1995-96 \| slask eska w \| browary tyskie bob \| 4-2 \| polonia przemysl row 2 : 1996-97 \| mazowszanka pekaes \| spojnia stargard s \| 4-0 \| browary tyskie bob row 3 : 1997-98 \| zepter slask \| pekaes pruszkow \| 4-3 \| ericsson bobry byto row 4 : 1998-99 \| zepter slask \| anwil nobiles wł \| 4-3 \| ericsson bobry byto row 5 : 1999-00 \| zepter slask \| anwil włocła \| 4-1 \| hoop-pekaes pru row 6 : 2000-01 \| zepter slask \| anwil włocła \| 4-1 \| prokom trefl sopot row 7 : 2001-02 \| idea slask wrocł \| prokom trefl sopot \| 4-1 \| stal ostrow wielkopol row 8 : 2002-03 \| anwil włocła \| prokom trefl sopot \| 4-2 \| idea slask wrocł row 9 : 2003-04 \| prokom trefl sopot \| idea slask wrocł \| 4-1 \| polonia warszawa row 10 : 2004-05 \| prokom trefl sopot \| anwil włocła \| 4-2 \| polonia warszawa row 11 : 2005-06 \| prokom trefl sopot \| anwil włocła \| 4-1 \| energa czarni row 12 : 2006-07 \| prokom trefl sopot \| bot turow zgorzele \| 4-1 \| asco slask wroc row 13 : 2007-08 \| prokom trefl sopot \| pge turow zgor \| 4-3 \| asco slask wroc row 14 : 2008-09 \| asseco prokom sopot \| pge turow zgor \| 4-1 \| anwil włocła row 15 : 2009-10 \| asseco prokom gdyn \| anwil włocła \| 4-0 \| polpharma starogard gdanski row 16 : 2010-11 \| asseco prokom gdyn \| pge turow zgor \| 4-3 \| energa czarni row 17 : 2011-12 \| asseco prokom gdyn \| trefl sopot \| 4-3 \| zastal zielona gora row 18 : 2012-13 \| stelmet zielona gor \| pge turow zgor \| 4-0 \| azs koszalin row 19 : 2013-14 \| None \| None \| None \| None ] Execute this SQL based on the above table: select count ( * ) where score = 'None'	0
[ header: s.no. \| name of kingdom \| name of king \| no. of villages \| capital \| names of districts row 1 : 1 \| sihag \| chokha singh \| 150 \| suin \| rawatsar, baramsar, row 2 : 2 \| beniwal \| raisal singh \| 150 \| rasalana \| bhukarka, sand row 3 : 3 \| johiya \| sher singh \| 600 \| bhurupal \| jaitpur, kumanu, ma row 4 : 4 \| punia \| kanha singh \| 300 \| luddi \| bhadra, ajitpura row 5 : 5 \| saharan \| pula singh \| 300 \| bhadang \| khejra, phoglo row 6 : 6 \| godara \| pandu singh \| 700 \| shekhsar \| shekhsar, pundrasar row 7 : 7 \| kaswan \| kanwarpal singh \| 400 \| sidhmukh \| None ] Execute this SQL based on the above table: select count ( names of districts ) where s.no. = 7	0
[ header: pos. \| time \| athlete \| country \| venue \| date row 1 : 1 \| 12.21 (+0.7) \| yordanka donkova \| bulgaria \| stara zagora \| 20 august 1988 row 2 : 2 \| 12.25 (+1.4) \| ginka zagorcheva \| bulgaria \| drama \| 8 august 1987 row 3 : 3 \| 12.26 (+1.7) \| ludmila narozh \| russia \| seville \| 6 june 1992 row 4 : 3 \| 12.26 (+1.2) \| brianna rollins \| united states \| des moines \| 22 june 2013 row 5 : 5 \| 12.28 (+1.1) \| sally pearson \| australia \| daegu \| 3 september 2011 row 6 : 6 \| 12.33 (-0.3) \| gail devers \| united states \| sacramento \| 23 july 2000 row 7 : 7 \| 12.36 (+1.9) \| grazyna rabszt \| poland \| warsaw \| 13 june 1980 row 8 : 8 \| 12.37 (+1.5) \| joanna hayes \| united states \| athens \| 24 august 2004 row 9 : 8 \| 12.37 (-0.2) \| dawn harper \| united states \| london \| 7 august 2012 row 10 : 10 \| 12.39 (+1.5) \| vera komisova \| soviet union \| rome \| 5 august 1980 row 11 : 10 \| 12.39 (+1.8) \| nataliya grygoryeva \| soviet union \| kiev \| 11 july 1991 row 12 : 12 \| 12.42 (+1.8) \| bettine jahn \| east germany \| berlin \| 8 june 1983 row 13 : 12 \| 12.42 (+2.0) \| anjanette kirkland \| united states \| edmonton \| 11 august 2001 row 14 : 14 \| 12.43 (-0.9) \| lucyna kalek \| poland \| hannover \| 19 august 1984 row 15 : 14 \| 12.43 (-0.3) \| michelle perry \| united states \| carson \| 26 june 2005 row 16 : 14 \| 12.43 (+0.2) \| lolo jones \| united states \| beijing \| 18 august 2008 row 17 : 14 \| 12.43 (+1.2) \| queen harrison \| united states \| des moines \| 22 june 2013 row 18 : 18 \| 12.44 (-0.5) \| gloria siebert \| east germany \| rome \| 4 september 1987 row 19 : 18 \| 12.44 (-0.8) \| olga shishigina \| kazakhstan \| lucerne \| 27 june 1995 row 20 : 18 \| 12.44 (+0.4) \| glory alozie \| nigeria \| monaco \| 8 august 1998 row 21 : 18 \| 12.44 (+0.6) \| damu cherry \| united states \| lausanne \| 7 july 2006 row 22 : 22 \| 12.45 (+1.3) \| cornelia oschkenat \| east germany \| neubrandenburg \| 11 june 1987 row 23 : 22 \| 12.45 (+1.4) \| brigitte foster-hylton \| jamaica \| eugene \| 24 may 2003 row 24 : 22 \| 12.45 (+1.5) \| olena krasov \| ukraine \| athens \| 24 august 2004 row 25 : 22 \| 12.45 (+1.4) \| virginia crawford \| united states \| new york city \| 2 june 2007 ] Execute this SQL based on the above table: select date where id = 1	20 august 1988
[ 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 year order by id desc limit 1	2012
[ header: rank \| lane \| name \| nationality \| time \| notes row 1 : None \| 4 \| sophie pascoe \| new zealand \| 2:25.65 \| wr row 2 : None \| 5 \| summer ashley mortimer \| canada \| 2:32.08 \| None row 3 : None \| 3 \| zhang meng \| china \| 2:33.95 \| as row 4 : 4 \| 6 \| katherine downie \| australia \| 2:34.64 \| None row 5 : 5 \| 2 \| nina ryabova \| russia \| 2:35.65 \| None row 6 : 6 \| 8 \| aurelie rivard \| canada \| 2:37.70 \| None row 7 : 7 \| 7 \| harriet lee \| great britain \| 2:39.42 \| None row 8 : 8 \| 1 \| gemma almond \| great britain \| 2:42.16 \| None ] Execute this SQL based on the above table: select count ( name ) where time = '2:35.65'	0
[ header: tie no \| home team \| score \| away team \| attendance row 1 : 1 \| chesterfield \| 1-0 \| nottingham forest \| 15 february 1997 row 2 : 2 \| leicester city \| 2-2 \| chelsea \| 16 february 1997 row 3 : replay \| chelsea \| 1-0 \| leicester city \| 26 february 1997 row 4 : 3 \| derby county \| 3-2 \| coventry city \| 26 february 1997 row 5 : 4 \| manchester city \| 0-1 \| middlesbrough \| 15 february 1997 row 6 : 5 \| bradford city \| 0-1 \| sheffield wednesday \| 16 february 1997 row 7 : 6 \| wimbledon \| 2-1 \| queens park rangers \| 15 february 1997 row 8 : 7 \| leeds united \| 2-3 \| portsmouth \| 15 february 1997 row 9 : 8 \| birmingham city \| 1-3 \| wrexham \| 15 february 1997 ] Execute this SQL based on the above table: select tie no order by id desc limit 1	8
[ header: season \| tier \| division \| place row 1 : 1992-96 \| 5 \| regional \| None row 2 : 1996/97 \| 4 \| 3a \| 16th row 3 : 1997/98 \| 4 \| 3a \| 5th row 4 : 1998/99 \| 4 \| 3a \| 12th row 5 : 1999/00 \| 4 \| 3a \| 4th row 6 : 2000/01 \| 4 \| 3a \| 6th row 7 : 2001/02 \| 4 \| 3a \| 4th row 8 : 2002/03 \| 4 \| 3a \| 3rd row 9 : 2003/04 \| 3 \| 2ab \| 19th row 10 : 2004/05 \| 4 \| 3a \| 2nd ] Execute this SQL based on the above table: select count ( division ) where tier >= 3	10
[ header: player \| rec. \| yards \| avg. \| td's \| long row 1 : charles frederick \| 115 \| 1385 \| 12 \| 27 \| 42 row 2 : jerel myers \| 104 \| 1183 \| 11.4 \| 21 \| 38 row 3 : anthony hines \| 58 \| 822 \| 14.2 \| 12 \| 39 row 4 : boo williams \| 45 \| 474 \| 10.5 \| 17 \| 35 row 5 : ira gooch \| 24 \| 339 \| 14.1 \| 6 \| 32 row 6 : sam simmons \| 15 \| 197 \| 13.1 \| 2 \| 30 row 7 : kevin beard \| 10 \| 87 \| 8.7 \| 0 \| 21 row 8 : dawan moss \| 7 \| 39 \| 5.6 \| 1 \| 12 row 9 : cyron brown \| 3 \| 17 \| 5.7 \| 1 \| 8 row 10 : larrell johnson \| 3 \| 14 \| 4.7 \| 0 \| 6 row 11 : jamarr wood \| 1 \| 13 \| 13 \| 0 \| 13 row 12 : cecil moore \| 2 \| 9 \| 4.5 \| 2 \| 8 row 13 : raymond philyaw \| 1 \| -6 \| -6 \| 0 \| -6 ] Execute this SQL based on the above table: select player where long > ( select long where player = 'jamarr wood' ) and long < ( select long where player = 'sam simmons' )	kevin beard
[ header: school name \| city \| grades \| establishment \| charter row 1 : aliamanu intermediate school \| honolulu \| 7-8 \| 1958 \| None row 2 : anuenue school \| honolulu \| k-12 \| 1958 \| charter row 3 : central middle school \| honolulu \| 6-8 \| 1926 \| None row 4 : dole middle school \| honolulu \| 6-8 \| 1955 \| None row 5 : halau ku mana nc \| honolulu \| 6-12 \| 2000 \| charter row 6 : jarrett middle school \| honolulu \| 6-8 \| 1955 \| None row 7 : kaimuki middle school \| honolulu \| 6-8 \| 1939 \| None row 8 : kalakaua middle school \| honolulu \| 6-8 \| 1928 \| None row 9 : kawananakoa middle school \| honolulu \| 6-8 \| 1927 \| None row 10 : moanalua middle school \| honolulu \| 7-8 \| 1967 \| None row 11 : niu valley middle school \| honolulu \| 6-8 \| 1955 \| None row 12 : stevenson middle school \| honolulu \| 6-8 \| 1937 \| None row 13 : washington middle school \| honolulu \| 6-8 \| 1854 \| None ] Execute this SQL based on the above table: select grades where grades = '6-8' order by establishment asc limit 320	6-8, 6-8, 6-8, 6-8, 6-8, 6-8, 6-8, 6-8, 6-8
[ header: team \| basic elements \| tumbling \| stunts \| tosses \| pyramids \| deductions \| total score \| result row 1 : ccp bobcats \| 62 \| 54 \| 60 \| 66 \| 70.5 \| -4 \| 308.5 \| champion row 2 : up pep squad \| 61.5 \| 61.5 \| 61 \| 62 \| 71 \| -11 \| 306 \| runner-up row 3 : altas perp squad \| 57 \| 55.5 \| 53.5 \| 53.5 \| 69.5 \| -6 \| 283 \| third place row 4 : eac generals pep squad \| 55.5 \| 46.5 \| 57.5 \| 55 \| 66 \| -4 \| 276.5 \| fourth place row 5 : ateneo blue babble batallion \| 59 \| 55.5 \| 50 \| 47 \| 64.5 \| -13 \| 263 \| fifth place row 6 : adamson pep squad \| 56 \| 55 \| 52.5 \| 48.5 \| 66 \| -19 \| 259 \| sixth place row 7 : pup-taguig pep squad \| 52 \| 45.5 \| 49.5 \| 48.5 \| 65 \| -2 \| 258.5 \| seventh place row 8 : pup stars \| 49 \| 46.5 \| 50.5 \| 49.5 \| 64.5 \| -12 \| 248 \| eighth place ] Execute this SQL based on the above table: select count ( result ) where result = 'champion'	1
[ 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 count ( * ) where unicode > 280 or description > 280	27
[ header: entrant \| constructor \| chassis \| engine \| no \| driver row 1 : team ensign \| ensign \| n180b \| cosworth dfv v8 \| 3 \| jim crawford row 2 : team ensign \| ensign \| n180b \| cosworth dfv v8 \| 4 \| joe castellano row 3 : colin bennett racing \| mclaren \| m29 \| cosworth dfv v8 \| 6 \| arnold glass row 4 : colin bennett racing \| march \| 811 \| cosworth dfv v8 \| 7 \| val musetti row 5 : team sanada \| fittipaldi \| f8 \| cosworth dfv v8 \| 8 \| tony trimmer row 6 : warren booth \| shadow \| dn9 \| cosworth dfv v8 \| 11 \| warren booth row 7 : john jordan \| brm \| p207 \| brm 202 v12 \| 12 \| david williams row 8 : nick mason \| tyrrell \| 8 \| cosworth dfv v8 \| 14 \| john brindley row 9 : emka productions \| williams \| fw07 \| cosworth dfv v8 \| 16 \| steve o'rourke row 10 : team peru \| williams \| fw07 \| cosworth dfv v8 \| 82 \| jorge koechlin ] Execute this SQL based on the above table: select constructor group by constructor order by count ( driver > engine ) desc limit 1	williams
[ header: \| \| \| \| \| row 1 : world record \| snatch \| akakios kakias \| 188 kg \| athens, greece \| 27 november 1999 row 2 : world record \| clean & jerk \| szymon kołecki \| 232 kg \| sofia, bulgaria \| 29 april 2000 row 3 : world record \| total \| akakios kakias \| 412 kg \| athens, greece \| 27 november 1999 row 4 : asian record \| snatch \| kourosh bagheri ( \| 187 kg \| sydney, australia \| 24 september 2000 row 5 : asian record \| clean & jerk \| ilya ilyin (kaz) \| 226 kg \| doha, qatar \| 5 december 2006 row 6 : asian record \| total \| kourosh bagheri ( \| 407 kg \| antalya, turkey \| 9 november 2001 row 7 : games record \| snatch \| bakhyt akhmetov \| 185 kg \| busan, south korea \| 8 october 2002 row 8 : games record \| clean & jerk \| ilya ilyin (kaz) \| 226 kg \| doha, qatar \| 5 december 2006 row 9 : games record \| total \| bakhyt akhmetov \| 400 kg \| busan, south korea \| 8 october 2002 ] Execute this SQL based on the above table: select where = 'clean & jerk'	world record, asian record, games record
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| cuba \| 4 \| 3 \| 2 \| 9 row 2 : 2 \| canada \| 4 \| 2 \| 1 \| 7 row 3 : 3 \| united states \| 2 \| 0 \| 2 \| 4 row 4 : 4 \| mexico \| 1 \| 1 \| 0 \| 2 row 5 : 5 \| ecuador \| 1 \| 0 \| 0 \| 1 row 6 : 6 \| argentina \| 0 \| 4 \| 3 \| 7 row 7 : 7 \| brazil \| 0 \| 2 \| 2 \| 4 row 8 : 8 \| chile \| 0 \| 0 \| 1 \| 1 row 9 : 8 \| venezuela \| 0 \| 0 \| 1 \| 1 row 10 : total \| total \| 12 \| 12 \| 12 \| 36 ] Execute this SQL based on the above table: select nation where id = ( select id where nation = 'brazil' ) + 1	chile
[ header: edition \| year \| men's winner \| time (h:m:s) \| women's winner \| time (h:m:s) row 1 : 1st \| 1983 \| tommy persson (swe) \| 2:24:15 \| None \| None row 2 : 2nd \| 1984 \| steven marwa (tan) \| 2:33:59 \| None \| None row 3 : 4th \| 1986 \| savio d'souza \| 2:31:28 \| karolina szabo (h \| 1:17:09 row 4 : 6th \| 1989 \| yeshwant singh rawat (in \| 2:31:47 \| sunita godhara (ind) \| 2:58:39 row 5 : 9th \| 1992 \| shivkumar yada \| 2:26:34 \| suman mehta (ind) \| 2:51:01 row 6 : 10th \| 1993 \| robert nolan (aus) \| 2:23:23 \| vally sathyab \| 2:47:46 row 7 : 11th \| 1994 \| joshua kipkemboi \| 2:24:35 \| midde hamrin (swe) \| 1:17:19 row 8 : 12th \| 1996 \| joseph kahugu ( \| 2:13:00 \| lukose leelamma \| None row 9 : 13th \| 1997 (jan) \| abhay singh (ind) \| 2:23:08 \| camilla benjaminsson ( \| 1:20:00 row 10 : 14th \| 1997 (dec) \| my tahar echchadl \| 2:25:36 \| zahra akrachi ( \| 1:16:42 row 11 : 15th \| 1999 \| zablon mokaya (ken) \| 2:22:54 \| lyubov fyodor \| 1:29:49 row 12 : 16th \| 2000 \| fedor ryzhov (rus) \| 2:25:17 \| margaret ngotho ( \| 1:18:10 row 13 : 17th \| 2002 \| ambrose makau (ken) \| 2:23:20 \| natalya volgina (rus) \| 1:15:52 row 14 : 18th \| 2003 \| robert kipyego ( \| 2:16:36 \| masila ndunge (ken \| 1:13:49 row 15 : 19th \| 2004 \| douglas gwandaru (ken \| 2:21:22 \| jane muia (ken) \| 1:11:59 row 16 : 20th \| 2005 \| josephat ndeti ( \| 2:19:35 \| nailiya yulamanova \| 1:15:05 row 17 : 21st \| 2006 \| said regragui (swe) \| 2:18:23 \| hellen musyoka (ken) \| 1:13:20 row 18 : 22nd \| 2007 \| philip makau muia ( \| 2:17:32 \| roman gebregessese (eth) \| 1:11:30.4 row 19 : 23rd \| 2008 \| nelson kirwa rot \| 2:17:45 \| caroline kilel (ken) \| 1:10:17 row 20 : 24th \| 2009 \| augustine rono sembri ( \| 2:13:05 \| agnes katunga mutune \| 1:10:30 row 21 : 25th \| 2010 \| gudeta gemechu birat \| 2:13:20 \| birzaf gebre tekele ( \| 2:38:41 ] Execute this SQL based on the above table: select men's winner where edition = '23rd' order by men's winner limit 110	nelson kirwa rotich (ken)
[ 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 position where pick # < ( select pick # where position = 'defensive end' ) order by pick # desc limit 1	quarterback
[ header: painter \| composition \| drawing \| color \| expression row 1 : andrea del sarto \| 12 \| 16 \| 9 \| 8 row 2 : federico barocci \| 14 \| 15 \| 6 \| 10 row 3 : jacopo bassano \| 6 \| 8 \| 17 \| 0 row 4 : giovanni bellini \| 4 \| 6 \| 14 \| 0 row 5 : sebastian bourdon \| 10 \| 8 \| 8 \| 4 row 6 : charles le brun \| 16 \| 16 \| 8 \| 16 row 7 : i carracci \| 15 \| 17 \| 13 \| 13 row 8 : cavalier d'arpino \| 10 \| 10 \| 6 \| 2 row 9 : correggio \| 13 \| 13 \| 15 \| 12 row 10 : daniele da volterra \| 12 \| 15 \| 5 \| 8 row 11 : abraham van diepenbeeck \| 11 \| 10 \| 14 \| 6 row 12 : il domenichino \| 15 \| 17 \| 9 \| 17 row 13 : albrecht durer \| 8 \| 10 \| 10 \| 8 row 14 : giorgione \| 8 \| 9 \| 18 \| 4 row 15 : giovanni da udine \| 10 \| 8 \| 16 \| 3 row 16 : giulio romano \| 15 \| 16 \| 4 \| 14 row 17 : guercino \| 18 \| 10 \| 10 \| 4 row 18 : guido reni \| x \| 13 \| 9 \| 12 row 19 : holbein \| 9 \| 10 \| 16 \| 3 row 20 : jacob jordaens \| 10 \| 8 \| 16 \| 6 row 21 : lucas jordaens \| 13 \| 12 \| 9 \| 6 row 22 : giovanni lanfranco \| 14 \| 13 \| 10 \| 5 row 23 : leonardo da vinci \| 15 \| 16 \| 4 \| 14 row 24 : lucas van leyden \| 8 \| 6 \| 6 \| 4 row 25 : michelangelo \| 8 \| 17 \| 4 \| 8 row 26 : caravaggio \| 6 \| 6 \| 16 \| 0 row 27 : murillo \| 6 \| 8 \| 15 \| 4 row 28 : otho venius \| 13 \| 14 \| 10 \| 10 row 29 : palma il vecchio \| 5 \| 6 \| 16 \| 0 row 30 : palma il giovane \| 12 \| 9 \| 14 \| 6 row 31 : il parmigianino \| 10 \| 15 \| 6 \| 6 row 32 : gianfrancesco penni \| 0 \| 15 \| 8 \| 0 row 33 : perin del vaga \| 15 \| 16 \| 7 \| 6 row 34 : sebastiano del piombo \| 8 \| 13 \| 16 \| 7 row 35 : primaticcio \| 15 \| 14 \| 7 \| 10 row 36 : raphael \| 17 \| 18 \| 12 \| 18 row 37 : rembrandt \| 15 \| 6 \| 17 \| 12 row 38 : rubens \| 18 \| 13 \| 17 \| 17 row 39 : francesco salviati \| 13 \| 15 \| 8 \| 8 row 40 : eustache le sueur \| 15 \| 15 \| 4 \| 15 row 41 : teniers \| 15 \| 12 \| 13 \| 6 row 42 : pietro testa \| 11 \| 15 \| 0 \| 6 row 43 : tintoretto \| 15 \| 14 \| 16 \| 4 row 44 : titian \| 12 \| 15 \| 18 \| 6 row 45 : van dyck \| 15 \| 10 \| 17 \| 13 row 46 : vanius \| 15 \| 15 \| 12 \| 13 row 47 : veronese \| 15 \| 10 \| 16 \| 3 row 48 : taddeo zuccari \| 13 \| 14 \| 10 \| 9 row 49 : federico zuccari \| 10 \| 10 \| 8 \| 8 ] Execute this SQL based on the above table: select painter where color = 0	pietro testa
[ header: city of licence \| analog channel \| digital channel \| virtual channel \| callsign \| network \| notes row 1 : brandon \| 4 \| None \| None \| ckyb-tv \| ctv \| satellite of cky-dt winn row 2 : dauphin \| 12 \| None \| None \| ckyd-tv \| ctv \| satellite of cky-dt winn row 3 : fisher branch \| 8 \| None \| None \| ckya-tv \| ctv \| satellite of cky-dt winn row 4 : flin flon \| 13 \| None \| None \| ckyf-tv \| ctv \| satellite of cky-dt winn row 5 : mccreary \| 13 \| None \| None \| ckyb-tv \| ctv \| satellite of cky-dt winn row 6 : minnedosa \| 2 \| None \| None \| cknd-tv-2 \| global \| None row 7 : the pas \| 12 \| None \| None \| ckyp-tv \| ctv \| satellite of cky-dt winn row 8 : portage la prairie \| None \| 13 \| 13.1 \| chmi-dt \| city \| None row 9 : thompson \| 9 \| None \| None \| ckyt-tv \| ctv \| satellite of cky-dt winn row 10 : winnipeg \| None \| 51 \| 3.1 \| cbwft-dt \| r-c \| None row 11 : winnipeg \| None \| 27 \| 6.1 \| cbwt-dt \| cbc \| None row 12 : winnipeg \| None \| 7 \| 7.1 \| cky-dt \| ctv \| None row 13 : winnipeg \| None \| 40 \| 9.1 \| cknd-dt \| global \| None row 14 : winnipeg \| None \| 13 \| 13.1 \| chmi-dt \| city \| mts tv hd row 15 : winnipeg \| None \| 35 \| 35.1 \| ciit-dt \| religious independent \| None ] Execute this SQL based on the above table: select city of licence order by notes desc limit 1	brandon
[ header: rank \| name \| nationality \| time row 1 : None \| brahim boulami \| morocco \| 8:17.73 row 2 : None \| reuben kosgei \| kenya \| 8:18.63 row 3 : None \| stephen cherono \| kenya \| 8:19.98 row 4 : 4 \| bouabdellah ta \| france \| 8:20.25 row 5 : 5 \| tim broe \| united states \| 8:20.75 row 6 : 6 \| luis miguel martin \| spain \| 8:24.03 row 7 : 7 \| raymond yator \| kenya \| 8:27.19 row 8 : 8 \| thomas chorny \| united states \| 9:24.26 ] Execute this SQL based on the above table: select name order by rank - rank asc limit 1	brahim boulami
[ 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 year >= 6	12
[ header: pos. \| city \| population (ab) \| surface (km2) \| density (ab/km2) \| altitude (mslm) row 1 : 1st \| bergamo \| 121.316 \| 39.6 \| 3064 \| 249 row 2 : 2nd \| treviglio \| 29.334 \| 31.54 \| 930 \| 125 row 3 : 3rd \| seriate \| 25.036 \| 12.41 \| 2017 \| 247 row 4 : 4th \| dalmine \| 23.237 \| 11.6 \| 2003 \| 207 row 5 : 5th \| romano di lombardia \| 19.472 \| 18.03 \| 1080 \| 120 row 6 : 6th \| albino \| 18.232 \| 31.32 \| 582 \| 342 row 7 : 7th \| caravaggio \| 16.258 \| 32.81 \| 496 \| 111 row 8 : 8th \| alzano lombardo \| 13.821 \| 13.43 \| 1029 \| 304 row 9 : 9th \| stezzano \| 12.999 \| 9.25 \| 1405 \| 211 row 10 : 10th \| osio sotto \| 12.083 \| 7.45 \| 1622 \| 182 ] Execute this SQL based on the above table: select ( select density (ab/km2) where city = 'alzano lombardo' ) - ( select density (ab/km2) where city = 'alzano lombardo' )	0.0
[ header: week \| date \| opponent \| result \| venue \| attendance row 1 : 1 \| september 3, 1978 \| at detroit lions \| w 13-7 \| pontiac silverdome \| 51187 row 2 : 2 \| september 10, 1978 \| new orleans saints \| w 28-17 \| milwaukee county stadium \| 54336 row 3 : 3 \| september 17, 1978 \| oakland raiders \| l 28-3 \| lambeau field \| 55903 row 4 : 4 \| september 24, 1978 \| at san diego chargers \| w 24-3 \| san diego stadium \| 42755 row 5 : 5 \| october 1, 1978 \| detroit lions \| w 35-14 \| milwaukee county stadium \| 54601 row 6 : 6 \| october 8, 1978 \| chicago bears \| w 24-14 \| lambeau field \| 56267 row 7 : 7 \| october 15, 1978 \| seattle seahawks \| w 45-28 \| milwaukee county stadium \| 52712 row 8 : 8 \| october 22, 1978 \| at minnesota vikings \| l 21-7 \| metropolitan stadium \| 47411 row 9 : 9 \| october 29, 1978 \| tampa bay buccaneers \| w 9-7 \| lambeau field \| 55108 row 10 : 10 \| november 5, 1978 \| at philadelphia eagle \| l 10-3 \| veterans stadium \| 64214 row 11 : 11 \| november 12, 1978 \| dallas cowboys \| l 42-14 \| milwaukee county stadium \| 55256 row 12 : 12 \| november 19, 1978 \| at denver broncos \| l 16-3 \| mile high stadium \| 74965 row 13 : 13 \| november 26, 1978 \| minnesota vikings \| t 10-10 (ot) \| lambeau field \| 51737 row 14 : 14 \| december 3, 1978 \| at tampa bay buccaneers \| w 17-7 \| tampa stadium \| 67754 row 15 : 15 \| december 10, 1978 \| at chicago bears \| l 14-0 \| soldier field \| 34306 row 16 : 16 \| december 17, 1978 \| at los angeles rams \| l 31-14 \| los angeles memorial coliseum \| 42500 ] Execute this SQL based on the above table: select abs ( ( select attendance where opponent = 'tampa bay buccaneers' ) - ( select attendance where opponent = 'detroit lions' ) )	507.0
[ header: no \| date \| race \| track \| winner \| reports row 1 : 1 \| 02-09-2008 \| daytona arca 200 \| daytona \| michael annett \| report row 2 : 2 \| 04-13-2008 \| kentuckiana ford dealers 200 \| salem speedway \| justin allgaier \| report row 3 : 3 \| 04-19-2008 \| prairie meadows 250 \| iowa speedway \| matt hawkins \| report row 4 : 4 \| 04-25-2008 \| kansas lottery $150 grand \| kansas speedway \| scott speed \| report row 5 : 5 \| 05-04-2008 \| carolina 500 \| rockingham \| joey logano \| report row 6 : 6 \| 05-10-2008 \| drive smart! 150 \| kentucky \| ricky stenhouse, jr \| report row 7 : 7 \| 05-18-2008 \| hantz group 200 \| toledo \| matt carter \| report row 8 : 8 \| 06-07-2008 \| pocono 200 \| pocono \| ricky stenhouse, jr \| report row 9 : 9 \| 06-14-2008 \| racing for wildlife 200 \| michigan \| justin lofton \| report row 10 : 10 \| 06-29-2008 \| cayuga arca re/max \| cayuga \| justin allgaier \| report row 11 : 11 \| 07-18-2008 \| kentucky 150 \| kentucky \| scott speed \| report row 12 : 12 \| 07-26-2008 \| berlin arca 200 \| berlin \| scott speed \| report row 13 : 13 \| 08-02-2008 \| pennsylvania 200 \| pocono \| justin allgaier \| report row 14 : 14 \| 08-09-2008 \| toyota arca 150 \| nashville ss \| scott speed \| report row 15 : 15 \| 08-17-2008 \| allen crowe 100 \| springfield \| frank kimmel \| report row 16 : 16 \| 09-01-2008 \| southern illinois 100 \| duquoin \| frank kimmel \| report row 17 : 17 \| 09-06-2008 \| chicagoland arca 200 \| chicagoland \| scott lagasse jr \| report row 18 : 18 \| 09-13-2008 \| eddie gilstrap motors \| salem \| frank kimmel \| report row 19 : 19 \| 09-28-2008 \| loud energy drink 150 \| njmp \| justin allgaier \| report row 20 : 20 \| 10-03-2008 \| food world 250 \| talladega \| justin allgaier \| report row 21 : 21 \| 10-12-2008 \| toledo arca 200 \| toledo \| justin allgaier \| report ] Execute this SQL based on the above table: select winner order by no limit 1	michael annett
[ header: no. \| date/time \| aircraft \| foe \| result \| location \| notes row 1 : u/c \| 14 june 1917 \| nieuport 17 \| enemy aircraft \| None \| mount verena \| victory originally confirmed, but disallowed postwar row 2 : 1 \| 25 october 1917 @ 0800 \| None \| enemy aircraft \| forced to land \| marcesina \| None row 3 : 2 \| 7 november 1917 circa 1615 hours \| None \| enemy aircraft \| forced to land \| fonsazo \| awarded silver medal for military valor row 4 : 3 \| 7 december 1917 @ 1130 hours \| None \| enemy aircraft \| None \| val d'assa \| None row 5 : 4 \| 13 december 1917 ca. 1130 hours \| None \| enemy aircraft \| None \| asiago \| None row 6 : 5 \| 30 january 1918 @ 1000 hours \| None \| enemy two-seater \| None \| col d'eshele, \| awarded silver medal for military valor row 7 : u/c \| 4 february 1918 ca. 1100 hours \| None \| black enemy fighter craft \| None \| valstagna \| claim shared with antonio reali row 8 : 6 \| 5 february 1918 ca. 0830 hours \| None \| enemy two-seater \| forced to land \| case girardi \| shared with marziale cerutti row 9 : 7 \| 13 february 1918 @ 0915 hours \| None \| enemy fighter \| None \| marcesina \| None row 10 : u/c \| 24 february 1918 \| None \| enemy aircraft \| None \| mount grappa \| None row 11 : 8 \| 4 may 1918 @ 0850 hours \| nieuport 27 \| enemy aircraft \| None \| montello \| austro-hungarians reported no matching loss row 12 : 9 \| 4 may 1918 @ 1025 hours \| nieuport 27 \| enemy fighter \| None \| montello \| austro-hungarians reported no matching loss ] Execute this SQL based on the above table: select date/time where id = 2	25 october 1917 @ 0800 hours
[ header: year \| competition \| venue \| position \| notes row 1 : 2002 \| world junior championships \| kingston, jamaica \| 1st \| 64.51 m (1.75 kg) row 2 : 2002 \| asian games \| busan, south korea \| 1st \| 60.76 m row 3 : 2003 \| universiade \| daegu, south korea \| 1st \| 62.32 m row 4 : 2003 \| asian championships \| manila, philippines \| 1st \| 61.43 m row 5 : 2004 \| olympic games \| athens, greece \| 18th (q) \| 60.60 m row 6 : 2005 \| world championships \| helsinki, finland \| 18th (q) \| 61.75 m row 7 : 2005 \| universiade \| izmir, turkey \| 7th \| 59.67 m row 8 : 2005 \| east asian games \| macau \| 1st \| 61.74 m row 9 : 2006 \| asian games \| doha, qatar \| 5th \| 58.54 m row 10 : 2009 \| asian championships \| guangzhou, china \| 3rd \| 59.27 m ] Execute this SQL based on the above table: select competition where position = '3rd' group by competition order by count ( * ) desc limit 1	asian championships
[ 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 nationality where round = 1	united states, united states, united states, united states, united states
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1996 \| world junior championships \| sydney, australia \| 8th \| 200 m \| 23.89 row 2 : 1996 \| olympic games \| atlanta, united states \| 11th (sf) \| 4x100 m relay \| 44.21 row 3 : 1997 \| european junior championships \| ljubljana, s \| 1st \| 100 m \| 11.39 row 4 : 1997 \| european junior championships \| ljubljana, s \| 3rd \| 200 m \| 23.43 row 5 : 1997 \| world championships \| athens, greece \| 36th (h) \| 100 m \| 11.59 row 6 : 1998 \| world junior championships \| annecy, france \| 8th (sf) \| 100 m \| 11.75 row 7 : 1998 \| european championships \| budapest, hungary \| 27th (h) \| 200 m \| 24.1 row 8 : 1998 \| european championships \| budapest, hungary \| 6th \| 4x100 m relay \| 44.1 row 9 : 1999 \| european junior championships \| riga, latvia \| 2nd \| 100 m \| 11.47 row 10 : 1999 \| european junior championships \| riga, latvia \| 2nd \| 200 m \| 23.26 row 11 : 1999 \| european junior championships \| riga, latvia \| 2nd \| 4x100 m relay \| 44.4 row 12 : 1999 \| world championships \| seville, spain \| 24th (qf) \| 100 m \| 11.45 row 13 : 1999 \| world championships \| seville, spain \| 10th (h) \| 4x100 m relay \| 43.86 row 14 : 2000 \| european indoor championships \| ghent, belgium \| 21st (h) \| 60 m \| 7.4 row 15 : 2000 \| european indoor championships \| ghent, belgium \| 12th (sf) \| 200 m \| 23.83 row 16 : 2000 \| olympic games \| sydney, australia \| 12th (sf) \| 4x100 m relay \| 43.5 row 17 : 2001 \| european u23 championships \| amsterdam, netherlands \| 1st \| 100 m \| 11.61 row 18 : 2001 \| european u23 championships \| amsterdam, netherlands \| 1st \| 4x100 m relay \| 44.76 row 19 : 2001 \| world championships \| edmonton, canada \| 12th (sf) \| 100 m \| 11.46 row 20 : 2002 \| european championships \| munich, germany \| 20th (h) \| 100 m \| 11.58 row 21 : 2003 \| world championships \| paris, france \| 23rd (qf) \| 200 m \| 23.42 row 22 : 2004 \| world indoor championships \| budapest, hungary \| 13th (sf) \| 60 m \| 7.3 row 23 : 2004 \| world indoor championships \| budapest, hungary \| 10th (h) \| 200 m \| 23.79 row 24 : 2006 \| european championships \| gothenburg, sweden \| 11th (h) \| 4x100 m relay \| 44.32 row 25 : 2007 \| european indoor championships \| birmingham, united kingdom \| 5th (sf) \| 60 m \| 7.24 row 26 : 2007 \| universiade \| bangkok, thailand \| 1st \| 100 m \| 11.46 row 27 : 2007 \| universiade \| bangkok, thailand \| 1st \| 4x100 m relay \| 43.48 row 28 : 2007 \| world championships \| osaka, japan \| 32nd (h) \| 100 m \| 11.52 row 29 : 2007 \| world championships \| osaka, japan \| 10th (h) \| 4x100 m relay \| 43.41 ] Execute this SQL based on the above table: select venue where venue in ( '11.52' , 'ghent, belgium' ) order by year limit 2006	ghent, belgium, ghent, belgium
[ header: season \| series \| team \| races \| wins \| poles \| f/lap \| podiums \| points \| position row 1 : 2009 \| star mazda championship \| andersen racing \| 13 \| 1 \| 1 \| 3 \| 6 \| 416 \| 3rd row 2 : 2010 \| star mazda championship \| juncos racing \| 13 \| 7 \| 9 \| 7 \| 12 \| 539 \| 1st row 3 : 2011 \| indy lights \| sam schmidt motorsports \| 5 \| 1 \| 1 \| 2 \| 2 \| 145 \| 13th row 4 : 2011 \| gp3 series \| carlin motorsport \| 16 \| 0 \| 0 \| 0 \| 0 \| 10 \| 17th row 5 : 2012 \| gp3 series \| lotus gp \| 16 \| 1 \| 0 \| 0 \| 5 \| 106 \| 6th row 6 : 2012 \| masters of formula 3 \| double r racing \| 1 \| 0 \| 0 \| 0 \| 0 \| None \| 15th row 7 : 2012-13 \| mrf challenge formula 2000 \| mrf challenge \| 10 \| 4 \| 0 \| 1 \| 6 \| 164 \| 1st row 8 : 2013 \| gp2 series \| hilmer motorsport \| 2 \| 0 \| 0 \| 0 \| 0 \| 2 \| 26th row 9 : 2013 \| gp3 series \| art grand prix \| 16 \| 1 \| 1 \| 1 \| 6 \| 126 \| 3rd row 10 : 2013 \| indycar series \| a.j. foyt enterprises \| 1 \| 0 \| 0 \| 0 \| 0 \| 11 \| 34th row 11 : 2013 \| indy lights \| team moore racing \| 1 \| 0 \| 0 \| 0 \| 1 \| 35 \| 13th ] Execute this SQL based on the above table: select series where id = ( select id where season = 2013 ) + 1	gp3 series
[ header: pos. \| driver \| co-driver \| car \| time \| difference \| points row 1 : 1 \| raffaele pinto \| arnaldo bernacchini \| fiat abarth 124 rallye \| 6:26:15 \| 0 \| 20 row 2 : 2 \| alcide paganelli \| ninni russo \| fiat abarth 124 rallye \| 6:30:12 \| 3.57 \| None row 3 : 3 \| markku alen \| ilkka kivimaki \| fiat abarth 124 rallye \| 6:37:17 \| 11.02 \| None row 4 : 4 \| ove andersson \| arne hertz \| toyota corolla \| 6:40:54 \| 14.39 \| 10 row 5 : 5 \| harry kallstrom \| claes billstam \| datsun 260z \| 6:54:27 \| 28.12 \| 8 row 6 : 6 \| bob neyret \| yveline vanoni \| alpine-renault a110 1800 \| 7:04:18 \| 38.03 \| 6 row 7 : 7 \| georg fischer \| harald gottlieb \| bmw 2002 \| 7:05:02 \| 38.47 \| 4 row 8 : 8 \| francisco romaozinho \| jose bernardo \| citroen gs \| 7:17:04 \| 50.49 \| 3 row 9 : 9 \| chris sclater \| neil wilson \| ford escort rs1 \| 7:26:59 \| 1:00.44 \| 2 row 10 : 10 \| antonio borges \| miguel sottomayor \| fiat 124 sport spyder \| 7:27:55 \| 1:01.40 \| None ] Execute this SQL based on the above table: select points where difference = 0	20.0
[ header: rank \| airport \| passengers handled \| % change 2011 / 12 row 1 : 1 \| netherlands - amsterdam \| 105349 \| None row 2 : 2 \| united kingdom - belfast-international \| 92502 \| None row 3 : 3 \| portugal - faro \| 71676 \| None row 4 : 4 \| spain - barcelona \| 66565 \| None row 5 : 5 \| spain - alicante \| 64090 \| None row 6 : 6 \| spain - malaga \| 59175 \| None row 7 : 7 \| ireland - dublin \| 35524 \| None row 8 : 8 \| jersey - jersey \| 35169 \| 1128 row 9 : 9 \| ireland - waterford \| 31907 \| 25 row 10 : 10 \| spain - palma de mallorca \| 27718 \| None ] Execute this SQL based on the above table: select airport where rank = ( select rank where airport = 'spain - alicante' ) - 1	spain - barcelona
[ header: year \| host \| champion \| second place \| third place \| fourth place row 1 : 2005 \| ninh binh \| tianjin bridgestone \| chung shan \| korea highway corporation \| rahat cska row 2 : 2006 \| manila \| tianjin bridgestone \| chung shan \| sang som \| rahat cska row 3 : 2008 \| vinh phuc \| tianjin bridgestone \| sang som \| toray arrows \| sobaeksu row 4 : 2009 \| nakhon pathom \| federbrau \| tianjin bridgestone \| toray arrows \| zhetysu almaty row 5 : 2010 \| gresik \| federbrau \| zhetysu almaty \| jt marvelous \| tianjin bridgestone row 6 : 2011 \| vinh phuc \| chang \| tianjin bridgestone \| zhetysu almaty \| thong tin lien viet bank row 7 : 2012 \| nakhon ratchasima \| tianjin bridgestone \| toray arrows \| chang \| zhetysu almaty ] Execute this SQL based on the above table: select count ( second place ) where fourth place = 'federbrau'	0
[ header: language \| number \| percentage (%) \| males \| females row 1 : polish \| 447685 \| 80.86 \| 216794 \| 230891 row 2 : yiddish \| 51215 \| 9.25 \| 24538 \| 26677 row 3 : german \| 35931 \| 6.49 \| 17409 \| 18522 row 4 : russian \| 15137 \| 2.73 \| 13551 \| 1586 row 5 : ukrainian \| 2350 \| 0.42 \| 2302 \| 48 row 6 : other \| 1285 \| 0.23 \| 1041 \| 244 row 7 : persons that didn't name their native language \| 27 \| >0.01 \| 14 \| 13 row 8 : total \| 553633 \| 100 \| 275652 \| 277981 ] Execute this SQL based on the above table: select percentage (%) order by language desc limit 1	9.25
[ header: year \| song \| u.s. \| u.s. r&b \| u.s. ac \| uk \| album row 1 : 1986 \| "strollin' on" \| None \| None \| None \| 32 \| intentions row 2 : 1986 \| "in the springtime" \| None \| None \| None \| 54 \| you're safe row 3 : 1986 \| "crazy love" \| None \| None \| None \| 67 \| intentions row 4 : 1987 \| "let me know" \| None \| None \| None \| 49 \| intentions row 5 : 1987 \| "woman in you" \| None \| None \| None \| None \| intentions row 6 : 1987 \| "some guys have all the luck" \| None \| None \| None \| 12 \| None row 7 : 1989 \| "wild world" \| 25 \| None \| None \| 5 \| maxi priest row 8 : 1990 \| "human work of art" \| None \| None \| None \| 71 \| bonafide row 9 : 1990 \| "close to you" \| 1 \| 2 \| 15 \| 7 \| bonafide row 10 : 1990 \| "just a little bit longer" \| 62 \| 30 \| None \| 62 \| bonafide row 11 : 1991 \| "space in my heart" \| None \| 76 \| None \| None \| bonafide row 12 : 1991 \| "set the night to music" (with \| 6 \| 45 \| 2 \| None \| set the night to music (roberta row 13 : 1992 \| "groovin' in the midnight" \| 63 \| 29 \| None \| 50 \| fe real row 14 : 1993 \| "one more chance" \| None \| 77 \| None \| 40 \| fe real row 15 : 1996 \| "that girl" (with shaggy) \| 20 \| 34 \| None \| 15 \| man with the fun row 16 : 1996 \| "watching the world go by" \| None \| None \| None \| 36 \| man with the fun row 17 : 2009 \| "2 play feat maxi priest - that \| None \| None \| None \| None \| None ] Execute this SQL based on the above table: select sum ( uk ) where u.s. r&b = 77	40.0
[ header: song \| artist(s) \| concert \| film \| 1978 album \| 2002 album row 1 : "up on cripple creek" \| the band \| 1 \| 3 \| 2 \| 2 row 2 : "it makes no difference" \| the band \| 3 \| 6 \| 8 \| 4 row 3 : "this wheel's on fire" \| the band \| 5 \| None \| None \| 10 row 4 : "w.s. walcott medicine show \| the band \| 6 \| None \| None \| 26 row 5 : "georgia on my mind" \| the band \| 7 \| None \| None \| None row 6 : "ophelia" \| the band \| 8 \| 20 \| 16 \| 18 row 7 : "king harvest (has surely come)" \| the band \| 9 \| None \| None \| None row 8 : "rag mama rag" \| the band \| 12 \| None \| None \| 15 row 9 : "such a night" \| dr. john \| 14 \| 8 \| 9 \| 7 row 10 : "down south in new orleans" \| bobby charles and dr \| 15 \| None \| 15 \| 9 row 11 : "mystery train" \| paul butterfield \| 16 \| 15 \| 11 \| 11 row 12 : "caldonia" \| muddy waters \| 17 \| None \| None \| 12 row 13 : "all our past times" \| eric clapton \| 19 \| None \| None \| 16 row 14 : "further on up the road" \| eric clapton \| 20 \| 17 \| 13 \| 17 row 15 : "four strong winds" \| neil young \| 22 \| None \| None \| 20 row 16 : "shadows and light" \| joni mitchell \| 24 \| None \| None \| 22 row 17 : "furry sings the blues" \| joni mitchell \| 25 \| None \| None \| 23 row 18 : "dry your eyes" \| neil diamond \| 26 \| 13 \| 7 \| 25 row 19 : "tura lura lural (that \| van morrison \| 27 \| None \| 17 \| 27 row 20 : "caravan" \| van morrison \| 28 \| 21 \| 18 \| 28 row 21 : "genetic method"/"chest fever \| the band \| 30 \| 19 \| None \| 30 row 22 : "the last waltz suite: \| the band \| 31 \| None \| None \| None row 23 : "baby, let me follow you down" \| bob dylan \| 33 \| None \| 20 \| 31 row 24 : "hazel" \| bob dylan \| 34 \| None \| None \| 32 row 25 : "i don't believe you" \| bob dylan \| 35 \| None \| 21 \| 33 row 26 : "forever young" \| bob dylan \| 36 \| 23 \| 22 \| 34 row 27 : "jam #2" \| neil young, ronnie \| 40 \| None \| None \| 38 row 28 : "don't do it" \| the band \| 41 \| 1 \| None \| 39 row 29 : "greensleeves" \| the band \| 42 \| None \| None \| 40 row 30 : introduction to the canterbury tales in \| michael mcclure \| None \| 7 \| None \| None row 31 : "the weight" (studio version) \| the band and the staple singers \| None \| 11 \| 29 \| 44 row 32 : "evangeline" (studio version) \| the band and emmylou \| None \| 18 \| 27 \| None row 33 : "loud prayer" \| lawrence ferlinghetti \| None \| 22 \| None \| None ] Execute this SQL based on the above table: select artist(s) order by film limit 1	the band
[ header: rank \| name \| nationality \| time row 1 : None \| brahim boulami \| morocco \| 8:17.73 row 2 : None \| reuben kosgei \| kenya \| 8:18.63 row 3 : None \| stephen cherono \| kenya \| 8:19.98 row 4 : 4 \| bouabdellah ta \| france \| 8:20.25 row 5 : 5 \| tim broe \| united states \| 8:20.75 row 6 : 6 \| luis miguel martin \| spain \| 8:24.03 row 7 : 7 \| raymond yator \| kenya \| 8:27.19 row 8 : 8 \| thomas chorny \| united states \| 9:24.26 ] Execute this SQL based on the above table: select name where name = 'brahim boulami'	brahim boulami
[ header: pick \| player \| team \| position \| school row 1 : 1 \| ben mcdonald \| baltimore orioles \| rhp \| louisiana state university row 2 : 2 \| tyler houston \| atlanta braves \| c \| valley hs (las vegas row 3 : 3 \| roger salkeld \| seattle mariners \| rhp \| saugus (ca) hs row 4 : 4 \| jeff jackson \| philadelphia phillies \| of \| simeon hs (chicago row 5 : 5 \| donald harris \| texas rangers \| of \| texas tech university row 6 : 6 \| paul coleman \| saint louis cardinals \| of \| frankston (tx) h row 7 : 7 \| frank thomas \| chicago white sox \| 1b \| auburn university row 8 : 8 \| earl cunningham \| chicago cubs \| of \| lancaster (sc) hs row 9 : 9 \| kyle abbott \| california angels \| lhp \| long beach state university row 10 : 10 \| charles johnson \| montreal expos \| c \| westwood hs (fort pier row 11 : 11 \| calvin murray \| cleveland indians \| 3b \| w.t. white high school (d row 12 : 12 \| jeff juden \| houston astros \| rhp \| salem (ma) hs row 13 : 13 \| brent mayne \| kansas city royals \| c \| cal state fullerton row 14 : 14 \| steve hosey \| san francisco giants \| of \| fresno state university row 15 : 15 \| kiki jones \| los angeles dodgers \| rhp \| hillsborough hs (tampa, row 16 : 16 \| greg blosser \| boston red sox \| of \| sarasota (fl row 17 : 17 \| cal eldred \| milwaukee brewers \| rhp \| university of iowa row 18 : 18 \| willie greene \| pittsburgh pirates \| ss \| jones county hs (gray row 19 : 19 \| eddie zosky \| toronto blue jays \| ss \| fresno state university row 20 : 20 \| scott bryant \| cincinnati reds \| of \| university of texas row 21 : 21 \| greg gohr \| detroit tigers \| rhp \| santa clara university row 22 : 22 \| tom goodwin \| los angeles dodgers \| of \| fresno state university row 23 : 23 \| mo vaughn \| boston red sox \| 1b \| seton hall university row 24 : 24 \| alan zinter \| new york mets \| c \| university of arizona row 25 : 25 \| chuck knoblauch \| minnesota twins \| 2b \| texas a&m university row 26 : 26 \| scott burrell \| seattle mariners \| rhp \| hamden (ct) hs ] Execute this SQL based on the above table: select count ( * ) where team = 'chicago white sox'	1
[ header: season \| tier \| division \| place row 1 : 1992-96 \| 5 \| regional \| None row 2 : 1996/97 \| 4 \| 3a \| 16th row 3 : 1997/98 \| 4 \| 3a \| 5th row 4 : 1998/99 \| 4 \| 3a \| 12th row 5 : 1999/00 \| 4 \| 3a \| 4th row 6 : 2000/01 \| 4 \| 3a \| 6th row 7 : 2001/02 \| 4 \| 3a \| 4th row 8 : 2002/03 \| 4 \| 3a \| 3rd row 9 : 2003/04 \| 3 \| 2ab \| 19th row 10 : 2004/05 \| 4 \| 3a \| 2nd ] Execute this SQL based on the above table: select place where place != '2nd' and division = ( select division where place = '2nd' )	16th, 5th, 12th, 4th, 6th, 4th, 3rd