Datasets:

tasksource
/

symbolic-instruction-tuning-sql

Dataset card Viewer Files Files and versions Community

Split (1)

train · 200k rows

inputs stringlengths 291 3.71k	targets stringlengths 1 2.65k
[ header: # \| title \| songwriters \| producer(s) \| performer row 1 : 1 \| "shalom a leck" \| p. chapman, k-de \| k-def \| tragedy row 2 : 2 \| "hoodlum intro" \| None \| None \| interlude row 3 : 3 \| "underground" \| p. chapman, k-de \| k-def \| tragedy row 4 : 4 \| "funk mode" \| p. chapman, k-de \| k-def \| tragedy row 5 : 5 \| "grand groove" \| p. chapman, k-de \| k-def \| tragedy row 6 : 6 \| "at large" \| p. chapman, k-de \| k-def, marley marl \| tragedy row 7 : 7 \| "death row" \| p. chapman, k-de \| k-def, marley marl \| tragedy row 8 : 8 \| "speech [check the time]" \| None \| kool tee \| interlude row 9 : 9 \| "mad brothas know his name" \| p. chapman, k-de \| k-def, marley marl \| tragedy row 10 : 10 \| "pass the teck" \| p. chapman, k-de \| k-def \| tragedy, havoc row 11 : 11 \| "street life" \| p. chapman, epitome of \| epitome of scratch \| tragedy row 12 : 12 \| "pump the funk" \| p. chapman, m. will \| marley marl \| tragedy row 13 : 13 \| "role model" \| p. chapman, koo \| kool tee \| tragedy row 14 : 14 \| "the posse [shoot \| p. chapman, mr. \| mr. freaknasti \| tragedy row 15 : 15 \| "grand groove [bonus mix]" \| p. chapman, k-de \| k-def \| tragedy row 16 : 16 \| "funky roll outro" \| None \| None \| interlude ] Execute this SQL based on the above table: select performer order by # asc limit 1	tragedy
[ header: team \| competition \| category \| appearances start \| appearances sub \| goals \| team record row 1 : japan \| 2006 afc u-17 championship qualification \| u-15 \| 1 \| 0 \| 0 \| qualified row 2 : japan \| 2006 afc u-17 championship \| u-16 \| 4 \| 1 \| 4 \| champions row 3 : japan \| 2007 fifa u-17 world cup \| u-17 \| 1 \| 2 \| 2 \| round 1 row 4 : japan \| 2008 afc youth championship qualification \| u-18 \| 4 \| 0 \| 2 \| qualified row 5 : japan \| 2008 afc u-19 championship \| u-19 \| 1 \| 1 \| 0 \| quarterfinal row 6 : japan \| 2013 eaff east asian cup \| senior \| 2 \| 0 \| 3 \| champions ] Execute this SQL based on the above table: select team record where appearances start = 1	qualified, round 1, quarterfinal
[ header: name \| animal type \| introduced \| reintroduced \| retired \| beanie baby resembled row 1 : antlers \| moose \| None \| 1999 (neon) \| 1999 \| chocolate row 2 : baba \| lamb \| None \| 1999 (neon) \| 1999 \| fleece row 3 : bruiser \| bulldog \| 1997 \| None \| None \| wrinkles row 4 : carrots \| bunny \| None \| 1999 (neon) \| 1999 \| ears, but pink instead of brown row 5 : chewy \| None \| None \| 1999 (neon) \| 1999 \| None row 6 : clover \| bunny \| 1998 \| None \| None \| ears, but white instead of brown row 7 : foxy \| fox \| None \| None \| None \| sly row 8 : glide \| porpoise \| None \| None \| None \| echo the dolphin row 9 : huggy \| bear \| 1995 \| 1999 (neon) \| 1999 \| cubbie, but yellow instead of brown row 10 : meow \| cat \| 1997 \| 1999 (neon) \| 1999 \| snip row 11 : moo \| cow \| 1995 \| None \| None \| daisy, but with white body instead of row 12 : oink \| pig \| 1995 \| None \| None \| squealer row 13 : paddles \| platypus \| None \| 1999 (neon) \| 1999 \| patti row 14 : purr \| tiger \| None \| None \| None \| stripes, but yellow-orange instead of orange row 15 : red \| bull \| None \| None \| None \| snort row 16 : ribbit (all-green) \| frog \| 1995 \| 1999 (neon) \| 1999 \| legs row 17 : ribbit (green-yellow) \| frog \| None \| None \| None \| smoochy row 18 : sherbert \| tie-dye bear \| 1998 \| 1999 (neon) \| 1999 \| sammy row 19 : snap (all-yellow) \| turtle \| 1995 \| None \| None \| speedy, but yellow instead of green row 20 : snap (yellow-green) \| turtle \| None \| 1999 (neon) \| None \| peekaboo row 21 : snuggy \| bear \| 1995 \| None \| None \| cubbie, but pink instead of brown row 22 : sparkler \| bear \| None \| None \| 1999 \| spangle row 23 : speckles \| leopard \| None \| None \| None \| freckles row 24 : spotty \| dalmatian \| None \| None \| None \| dotty row 25 : squirt \| elephant \| None \| 1999 (neon) \| 1999 \| peanut row 26 : swinger \| monkey \| None \| 1999 (neon) \| 1999 \| bongo row 27 : tide \| whale \| None \| None \| None \| splash row 28 : tubby \| hippopotamus \| None \| None \| None \| happy row 29 : woof \| dog \| 1995 \| 1999 (neon) \| 1999 \| bones row 30 : zulu \| zebra \| None \| None \| None \| ziggy, but pink-green instead of black ] Execute this SQL based on the above table: select count ( name )	30
[ header: event \| record \| athlete(s) \| date \| time (s) row 1 : bobsleigh - two-man \| start \| beat hefti & thomas \| 6 february 2009 \| 4.7 row 2 : bobsleigh - two-man \| track \| thomas florschutz & \| 20 february 2010 21 february 2010 \| 51.57 row 3 : bobsleigh - four-man \| start \| andre lange, kevin kuske \| 26 february 2010 \| 4.7 row 4 : bobsleigh - four-man \| track \| steve holcomb, justin \| 26 february 2010 \| 50.86 row 5 : bobsleigh - two-woman \| start \| kaillie humphries \| 23 february 2010 24 february 2010 \| 5.11 row 6 : bobsleigh - two-woman \| track \| kaillie humphries \| 24 february 2010 \| 52.85 row 7 : men's skeleton \| start \| alexander tretiakov (rus \| 18 february 2010 \| 4.48 row 8 : men's skeleton \| track \| jon montgomery (can) \| 19 february 2010 \| 52.2 row 9 : women's skeleton \| start \| anja huber (ger) \| 18 february 2010 \| 4.9 row 10 : women's skeleton \| track \| amy williams (gbr \| 19 february 2010 \| 53.68 row 11 : luge - men's singles \| start \| andi langenhan (ger) \| 21 february 2009 \| 3.541 row 12 : luge - men's singles \| track \| felix loch (ger) \| 21 february 2009 \| 46.808 row 13 : luge - women's singles \| start \| natalie geisenberger (ger \| 20 february 2009 \| 7.183 row 14 : luge - women's singles \| track \| natalie geisenberger (ger \| 20 february 2009 \| 48.992 row 15 : luge - men's doubles \| start \| tobias wendl & tobia \| 20 february 2009 \| 7.054 row 16 : luge - men's doubles \| track \| patric leitner & alexander \| 20 february 2009 \| 48.608 ] Execute this SQL based on the above table: select count ( * ) where record is null	0
[ header: event \| meeting gaz de france paris \| golden gala rome \| bislett games oslo \| weltklasse zurich \| memorial van damme brussels \| istaf berlin row 1 : 100 m \| christine arron (fra \| christine arron (fra \| christine arron (fra \| veronica campbell (jam) 10. \| christine arron (fra \| christine arron (fra row 2 : 200 m \| None \| None \| None \| None \| cydonie mothersille ( \| None row 3 : 400 m \| tonique williams-darling ( \| sanya richards (usa \| None \| sanya richards (usa \| None \| None row 4 : 800 m \| svetlana cherkas \| hasna benhassi (mar) \| tatyana andrianova (rus) \| zulia calatayu \| mayte martinez (esp \| zulia calatayu row 5 : 1500 m \| olga yegorova \| mestawat tadesse \| None \| None \| None \| None row 6 : 3000 m / 5000 m \| edith masai (ken) 8:31 \| None \| maryam yusuf jamal \| maryam yusuf jamal \| None \| None row 7 : 3000 m / 5000 m \| None \| tirunesh dibaba (eth \| None \| None \| meseret defar (eth \| berhane adere (e row 8 : 100 m hurdles \| joanna hayes (usa) 12. \| anjanette kirkland (usa \| None \| michelle perry (usa) 12.55 \| None \| brigitte foster-hylton row 9 : 400 m hurdles \| lashinda demus (usa \| lashinda demus (usa \| sandra glover (usa) \| yuliya pechonkina \| lashinda demus (usa \| sandra glover (usa) row 10 : long jump \| None \| None \| None \| None \| tatyana kotova (rus) \| None row 11 : triple jump \| tatyana lebedeva (rus) \| tatyana lebedeva (rus) \| tatyana lebedeva (rus) \| tatyana lebedeva (rus) \| tatyana lebedeva (rus) \| tatyana lebedeva (rus) row 12 : high jump \| None \| None \| amy acuff (usa) \| None \| None \| None row 13 : pole vault \| None \| None \| None \| None \| yelena isinbayeva ( \| None row 14 : discus throw \| None \| None \| None \| None \| None \| natalya sadova (rus) 64 row 15 : shot put \| None \| None \| None \| None \| None \| nadine kleinert (ger) ] Execute this SQL based on the above table: select ( select count ( * ) where meeting gaz de france paris = 'lashinda demus (usa) 53.85' ) > 41	0
[ header: no. \| constituency \| winner candidate \| party \| votes \| margin row 1 : 6 \| rapar \| patel vaghajibhai \| bjp \| 55280 \| 9216 row 2 : 11 \| vadgam \| manilal jethabhai vaghe \| inc \| 90375 \| 21839 row 3 : 12 \| palanpur \| patel maheshkumar amrut \| inc \| 75097 \| 5284 row 4 : 16 \| radhanpur \| thakor nagarji \| bjp \| 69493 \| 3834 row 5 : 20 \| kheralu \| bharatsinhji da \| bjp \| 68195 \| 18386 row 6 : 33 \| prantij \| baraiya mahendrasin \| inc \| 76097 \| 7014 row 7 : 34 \| dehgam \| kaminiba rathod \| inc \| 61043 \| 2297 row 8 : 52 \| jamalpur-khadia \| bhatt bhushan ash \| bjp \| 48058 \| 6331 row 9 : 59 \| dhandhuka \| kolipatel lalji \| bjp \| 77573 \| 28277 row 10 : 65 \| morbi \| kantilal amrutiya \| bjp \| 77386 \| 2760 row 11 : 68 \| rajkot east \| rajguru indranil san \| inc \| 60877 \| 4272 row 12 : 82 \| dwarka \| pabubha virambha man \| bjp \| 70062 \| 5616 row 13 : 90 \| somnath \| barad jasabhai \| inc \| 56701 \| 2096 row 14 : 103 \| bhavnagar rural \| parshottam solanki \| bjp \| 83980 \| 18554 row 15 : 109 \| borsad \| parmar rajendrasinh d \| inc \| 83621 \| 21034 row 16 : 113 \| petlad \| niranjan patel \| inc \| 77312 \| 12192 row 17 : 117 \| mahemdabad \| gautambhai ravj \| inc \| 68767 \| 4181 row 18 : 119 \| thasra \| parmar ramsinh prab \| inc \| 78226 \| 5500 row 19 : 122 \| lunawada \| malivad kalubhai hirab \| bjp \| 72814 \| 3701 row 20 : 124 \| shehra \| ahir jethabhai ghe \| bjp \| 76468 \| 28725 row 21 : 126 \| godhra \| c. k. raul \| inc \| 73367 \| 2868 row 22 : 128 \| halol \| parmar jaydrathsinh \| bjp \| 93854 \| 33206 row 23 : 130 \| jhalod \| garasiya miteshbha \| inc \| 78077 \| 40073 row 24 : 134 \| devgadh baria \| bachu khabad \| bjp \| 113582 \| 83753 row 25 : 135 \| savli \| inamdar ketanbhai ma \| independent \| 62849 \| 20319 row 26 : 136 \| vaghodia \| shrivastav madhubhai bab \| bjp \| 65851 \| 5788 ] Execute this SQL based on the above table: select no. where party = 'inc' and winner candidate = 'patel maheshkumar amrutlal' intersect select no. where party = 'inc' and winner candidate = 'patel maheshkumar amrutlal'	12
[ header: pos. \| athlete \| run 1 \| run 2 \| total row 1 : 1 \| aronne pieruz \| 50.39 \| 58.25 \| 1:48.64 row 2 : 2 \| filip trejbal \| 50.68 \| 58.84 \| 1:49.52 row 3 : 3 \| adam cole \| 51.4 \| 58.51 \| 1:49.91 row 4 : 4 \| tague thorson \| 51.2 \| 59.13 \| 1:50.33 row 5 : 5 \| jan urfer \| 51.54 \| 59.1 \| 1:50.64 row 6 : 6 \| charles christianson \| 51.75 \| 58.91 \| 1:50.66 row 7 : 7 \| francesco ghedina \| 51.37 \| 59.39 \| 1:50.94 row 8 : 8 \| luca moretti \| 52.05 \| 58.89 \| 1:51.17 row 9 : 9 \| cameron barnes \| 51.66 \| 59.51 \| 1:51.37 row 10 : 10 \| martin vrablik \| 52.77 \| 58.6 \| 1:51.48 ] Execute this SQL based on the above table: select abs ( athlete - athlete ) where athlete = 'luca moretti'	0
[ header: number \| author \| first line \| notes row 1 : 1 \| william shakespeare \| "when my love swears that she is made \| first publication, later appears as sonnet 138 row 2 : 2 \| william shakespeare \| "two loves i have, of comfort and \| first publication, later appears as sonnet 144 row 3 : 3 \| william shakespeare \| "did not the heavenly rhetoric of thine \| a version of longaville's son row 4 : 4 \| None \| "sweet cytherea, sitting by \| on the theme of venus and adon row 5 : 5 \| william shakespeare \| "if love make me forsworn, how \| a version of berowne's row 6 : 6 \| None \| "scarce had the sun dried up the \| on the theme of venus and adon row 7 : 7 \| None \| "fair is my love, but not so fair \| in the same six-line stanza row 8 : 8 \| richard barnfield \| "if music and sweet poetry agree" \| first published in poems in diverse humours row 9 : 9 \| None \| "fair was the morn when the fair queen \| on the theme of venus and adon row 10 : 10 \| None \| "sweet rose, fair flower, untimely \| in the same six-line stanza row 11 : 11 \| bartholomew griffin \| "venus, with young adonis sitting \| printed in fidessa (1596). on row 12 : 12 \| thomas deloney? \| "crabbed age and youth cannot live together \| was reprinted with additional stanza row 13 : 13 \| None \| "beauty is but a va \| in the same six-line stanza row 14 : 14 \| None \| "good-night, good rest, a \| in the same six-line stanza row 15 : 15 \| None \| "it was a lording' \| None row 16 : 16 \| william shakespeare \| "on a day (alack the day \| dumaine's poem to catherine row 17 : 18 \| None \| "when as thine eye hath chose \| three versions of the poem exist in manuscript miscell row 18 : 20 \| richard barnfield \| "as it fell upon a day" \| first published in poems in divers humors (1598 ] Execute this SQL based on the above table: select number order by author asc limit 1	4
[ header: player \| hr \| date reached 500 hr \| team \| seasons played row 1 : barry bonds \| 762 \| april 17, 2001 \| san francisco giants \| 1986-2007 row 2 : hank aaron \| 755 \| july 14, 1968 \| atlanta braves \| 1954-1976 row 3 : babe ruth \| 714 \| august 11, 1929 \| new york yankees \| 1914-1935 row 4 : willie mays \| 660 \| september 13, 1965 \| san francisco giants \| 1951-1952, 1954-1973 row 5 : alex rodriguez \| 654 \| august 4, 2007 \| new york yankees \| 1994- row 6 : ken griffey, jr \| 630 \| june 20, 2004 \| cincinnati reds \| 1989-2010 row 7 : jim thome \| 612 \| september 16, 2007 \| chicago white sox \| 1991-2012 row 8 : sammy sosa \| 609 \| april 4, 2003 \| chicago cubs \| 1989-2005, 2007 row 9 : frank robinson \| 586 \| september 13, 1971 \| baltimore orioles \| 1956-1976 row 10 : mark mcgwire \| 583 \| august 5, 1999 \| st. louis cardinals \| 1986-2001 row 11 : harmon killebrew \| 573 \| august 10, 1971 \| minnesota twins \| 1954-1975 row 12 : rafael palmeiro \| 569 \| may 11, 2003 \| texas rangers \| 1986-2005 row 13 : reggie jackson \| 563 \| september 17, 1984 \| california angels \| 1967-1987 row 14 : manny ramirez \| 555 \| may 31, 2008 \| boston red sox \| 1993-2011 row 15 : mike schmidt \| 548 \| april 18, 1987 \| philadelphia phillies \| 1972-1989 row 16 : mickey mantle \| 536 \| may 14, 1967 \| new york yankees \| 1951-1968 row 17 : jimmie foxx \| 534 \| september 24, 1940 \| boston red sox \| 1925-1942, 1944-1945 row 18 : ted williams \| 521 \| june 17, 1960 \| boston red sox \| 1939-1942, 1946-1960 row 19 : willie mccovey \| 521 \| june 30, 1978 \| san francisco giants \| 1959-1980 row 20 : frank thomas \| 521 \| june 28, 2007 \| toronto blue jays \| 1990-2008 row 21 : ernie banks \| 512 \| may 12, 1970 \| chicago cubs \| 1953-1971 row 22 : eddie mathews \| 512 \| july 14, 1967 \| houston astros \| 1952-1968 row 23 : mel ott \| 511 \| august 1, 1945 \| new york giants \| 1926-1947 row 24 : gary sheffield \| 509 \| april 17, 2009 \| new york mets \| 1988-2009 row 25 : eddie murray \| 504 \| september 6, 1996 \| baltimore orioles \| 1977-1997 ] Execute this SQL based on the above table: select count ( * ) where date reached 500 hr in ( 'jimmie foxx' , 'september 13, 1971' )	1
[ header: year \| title \| role \| notes row 1 : 2006 \| save the last dance 2 \| mixx \| direct to video row 2 : 2007 \| nick cannon/wild 'n \| himself \| improv comedy row 3 : 2007 \| stomp the yard \| rich brown \| film row 4 : 2011 \| csi: ny \| the hitman \| episode 7.14 "smooth criminal" row 5 : 2011 \| the fresh beat band \| himself \| special episode "band in a jam" row 6 : 2011 \| battle: los angeles \| specks \| film row 7 : 2012 \| empire girls: julissa \| himself \| reality-show row 8 : 2012 \| red tails \| andrew 'smoky' \| film row 9 : 2012 \| i heart tuesdays \| none \| (tv), creator row 10 : 2012 \| the x factor \| guest mentor \| None row 11 : 2012 \| never mind the buzzcocks \| guest host \| None row 12 : 2012 \| 90210 \| guest star \| None ] Execute this SQL based on the above table: select count ( year ) where year > 636	12
[ header: year \| date \| winner \| make \| pole \| make \| results row 1 : 1970 \| october 4 \| dave sorg \| mercury \| ron north \| oldsmobile \| report row 2 : 1971 \| october 3 \| denny miles \| chevrolet \| les snow \| plymouth \| report row 3 : 1972 \| october 1 \| dave sorg \| chevrolet \| larry moore \| chevrolet \| report row 4 : 1975 \| september 28 \| bob senneker \| chevrolet \| larry moore \| chevrolet \| report row 5 : 1976 \| october 4 \| bob senneker \| chevrolet \| bob senneker \| chevrolet \| report row 6 : 1977 \| october 2 \| bob senneker \| chevrolet \| bob senneker \| chevrolet \| report row 7 : 1980 \| october 5 \| terry senneker \| chevrolet \| mark martin \| chevrolet \| report row 8 : 1983 \| october 2 \| mike eddy \| pontiac \| dick trickle \| pontiac \| report row 9 : 1985 \| september 29 \| mark martin \| ford \| mark martin \| ford \| report row 10 : 1986 \| october 5 \| mark martin \| ford \| mark martin \| pontiac \| report row 11 : 1989 \| october 1 \| butch miller \| chevrolet \| kenny wallace \| pontiac \| report row 12 : 1990 \| september 30 \| bob senneker \| chevrolet \| dave jackson \| chevrolet \| report row 13 : 1992 \| october 4 \| tim steele \| chevrolet \| mike garvey \| ford \| report row 14 : 1993 \| october 3 \| mike cope \| oldsmobile \| hal goodson \| ford \| report row 15 : 1995 \| october 1 \| mike cope \| chevrolet \| ron barfield, jr \| ford \| report row 16 : 1999 \| september 26 \| brian ross \| chevrolet \| matt hagans \| ford \| report row 17 : 2000 \| october 1 \| gary st. amant \| chevrolet \| larry foyt \| pontiac \| report row 18 : 2001 \| september 23 \| joey clanton \| chevrolet \| david stremme \| ford \| report row 19 : 2002 \| october 6 \| gary st. amant \| chevrolet \| david stremme \| chevrolet \| report row 20 : 2003 \| october 5 \| bobby parsley \| chevrolet \| dave jackson \| chevrolet \| report row 21 : 2004 \| None \| None \| None \| None \| None \| None row 22 : 2005 \| None \| None \| None \| None \| None \| None row 23 : 2006 \| october 15 \| scott hantz \| chevrolet \| danny jackson \| None \| report row 24 : 2008 \| october 12 \| david stremme \| dodge \| chris gabehart \| None \| report row 25 : 2009 \| october 18 \| kyle busch \| toyota \| chris gabehart \| None \| report row 26 : 2010 \| october 17 \| chase elliott \| ford \| johnny vandoorn \| None \| report row 27 : 2012 \| october 14 \| ross kenseth \| ford \| rick turner \| ford \| report row 28 : 2013 \| october 13 \| erik jones \| toyota \| chase elliott \| chevrolet \| report ] Execute this SQL based on the above table: select winner group by winner order by count ( * ) desc limit 1	bob senneker
[ header: rank \| athlete \| country \| time \| behind \| points row 1 : 1 \| sven kramer \| netherlands \| 01:53.98 \| 0 \| 37.993 row 2 : 2 \| sverre lunde peder \| norway \| 1:54.87 \| 0.89 \| 38.29 row 3 : 3 \| jan blokhuijsen \| netherlands \| 1:54.93 \| 0.95 \| 38.31 row 4 : 4 \| denis yuskov \| russia \| 1:55.13 \| 1.15 \| 38.376 row 5 : 5 \| koen verweij \| netherlands \| 1:55.42 \| 1.44 \| 38.473 row 6 : 6 \| haralds silovs \| latvia \| 1:55.48 \| 1.5 \| 38.493 row 7 : 7 \| zbigniew brodka \| poland \| 1:55.98 \| 2 \| 38.66 row 8 : 8 \| bart swings \| belgium \| 1:56.08 \| 2.1 \| 38.693 row 9 : 9 \| havard bøkko \| norway \| 1:56.35 \| 2.37 \| 38.783 row 10 : 10 \| jan szymanski \| poland \| 1:56.55 \| 2.57 \| 38.85 row 11 : 11 \| bram smallenbroek \| austria \| 1:57.44 \| 3.46 \| 39.146 row 12 : 12 \| alexis contin \| france \| 1:57.58 \| 3.6 \| 39.193 row 13 : 13 \| benjamin mace \| france \| 1:57.80 \| 3.82 \| 39.266 row 14 : 14 \| konrad niedzwiedzki \| poland \| 1:57.92 \| 3.94 \| 39.306 row 15 : 15 \| sergey gryaztso \| russia \| 1:58.73 \| 4.75 \| 39.576 row 16 : 16 \| patrick beckert \| germany \| 1:59.08 \| 5.1 \| 39.693 row 17 : 17 \| kristian reistad \| norway \| 1:59.19 \| 5.21 \| 39.73 row 18 : 18 \| luca stefani \| italy \| 1:59.82 \| 5.84 \| 39.94 row 19 : 19 \| marco cignini \| italy \| 1:59.97 \| 5.99 \| 39.99 row 20 : 20 \| ferre spruyt \| belgium \| 2:00.00 \| 6.02 \| 40 row 21 : 21 \| vitaly mikhailov \| belarus \| 2:00.75 \| 6.77 \| 40.52 row 22 : 22 \| milan sablik \| czech republic \| 2:00.95 \| 6.97 \| 40.316 row 23 : 23 \| ted jan bloemen \| netherlands \| 2:01.58 \| 7.6 \| 40.526 row 24 : 24 \| moritz geisreiter \| germany \| 2:01.64 \| 7.66 \| 40.566 ] Execute this SQL based on the above table: select time where athlete = 'patrick beckert'	1
[ header: draw \| artist \| song \| points \| place row 1 : 1 \| mystique \| "rendez-vous" \| 25 \| 8 row 2 : 2 \| vulcano \| "met jou d'rbi \| 27 \| 5 row 3 : 3 \| bernadette \| "soms" \| 26 \| 6= row 4 : 4 \| deuce \| "computer games" \| 26 \| 6= row 5 : 5 \| music hall \| "stop die show" \| 54 \| 3 row 6 : 6 \| mystique \| "op zo'n dag \| 8 \| 10 row 7 : 7 \| bernadette \| "sing me a song" \| 69 \| 1 row 8 : 8 \| vulcano \| "een beetje van dit \| 68 \| 2 row 9 : 9 \| deuce \| "stopwatch" \| 20 \| 9 row 10 : 10 \| music hall \| "voulez-vous danser" \| 37 \| 4 ] Execute this SQL based on the above table: select place where draw = 8 and song = '"een beetje van dit"'	2
[ header: year \| team \| games \| carries \| yards \| yards per carry \| longest carry \| touchdowns \| first downs \| fumbles \| fumbles lost row 1 : 2002 \| gb \| 8 \| 39 \| 184 \| 4.7 \| 43 \| 1 \| 8 \| 1 \| 1 row 2 : 2003 \| gb \| 15 \| 77 \| 420 \| 5.5 \| 76 \| 2 \| 18 \| 4 \| 1 row 3 : 2004 \| gb \| 11 \| 71 \| 359 \| 5.1 \| 40 \| 2 \| 16 \| 0 \| 0 row 4 : 2005 \| gb \| 5 \| 30 \| 105 \| 3.5 \| 24 \| 2 \| 9 \| 1 \| 0 row 5 : 2006 \| pit \| 13 \| 60 \| 221 \| 3.7 \| 48 \| 1 \| 9 \| 1 \| 0 row 6 : 2007 \| pit \| 15 \| 107 \| 499 \| 4.7 \| 45 \| 5 \| 37 \| 1 \| 0 row 7 : 2008 \| pit \| 4 \| 2 \| 5 \| 2.5 \| 3 \| 0 \| 2 \| 0 \| 0 row 8 : 2008 \| ind \| 2 \| 8 \| 26 \| 3.3 \| 8 \| 0 \| 1 \| 0 \| 0 row 9 : career \| None \| 73 \| 394 \| 1819 \| 4.6 \| 76 \| 13 \| 100 \| 8 \| 2 ] Execute this SQL based on the above table: select avg ( touchdowns ) where team in ( 'pit' , 'None' )	2.0
[ header: name \| gender \| age \| from \| occupation \| prize money (usd) \| status row 1 : trisha \| female \| 28 \| santa monica, ca \| artist \| $26,000 \| winner row 2 : london \| male \| 46 \| mt. holly, n \| us coast guard (retired) \| $0 \| lost row 3 : adria \| female \| 25 \| seattle, wa \| bartender \| $0 \| 7th captured (by ricky ort row 4 : lucas \| male \| 32 \| carlsbad, ca \| student \| $0 \| 6th captured (by kim) row 5 : andrew \| male \| 21 \| redondo beach, ca \| student / lifeguard \| $0 \| 5th captured (by kim) row 6 : tracy \| female \| 30 \| mililani, hi \| student \| $0 \| 4th captured (by grant) row 7 : lynda \| female \| 59 \| los angeles, ca \| general contractor \| $0 \| 3rd captured (by icey) row 8 : darin \| male \| 46 \| fontana, ca \| sports official \| $0 \| 2nd captured (by wong) row 9 : evan \| male \| 29 \| long island, ny \| teacher \| $2,000 \| opted out row 10 : ameenah \| female \| 34 \| atlanta, ga \| drummer \| $0 \| 1st captured (by grant) ] Execute this SQL based on the above table: select occupation where age >= 46	us coast guard (retired), general contractor, sports official
[ header: released \| title \| label \| number \| notes row 1 : 1995 \| le jazz hot \| modern hot records \| mhr 001 \| None row 2 : 1997 \| new metropolitan swing \| modern hot records \| mhr 002 \| None row 3 : january 1999 \| mystery pacific \| modern hot records \| mhr 003 \| None row 4 : may 1999 \| souvenirs \| modern hot records \| mhr 004 \| None row 5 : october 2000 \| avalon \| modern hot records \| mhr 005 \| None row 6 : may 2002 \| under paris skies \| modern hot records \| mhr 006 \| None row 7 : october 2003 \| swing 48 \| modern hot records \| mhr 008 \| None row 8 : june 2005 \| chasing shadows \| modern hot records \| mhr 009 \| None row 9 : june 2007 \| modern times \| modern hot records \| mhr 011 \| None row 10 : june 2010 \| hotel new yorker \| modern hot records \| mhr 014 \| compilation from 1995-1999 releases row 11 : june 15, 2010 \| systeme d \| modern hot records \| mhr 015 \| None row 12 : april 18, 2012 \| "eleven" \| modern hot records \| mhr 017 \| None ] Execute this SQL based on the above table: select notes group by notes order by count ( notes ) desc limit 1	compilation from 1995-1999 releases
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 5 \| jim clark \| lotus-ford \| 80 \| 1:59:25.6 \| 1 \| 9 row 2 : 2 \| 2 \| denny hulme \| brabham-repco \| 80 \| + 12.8 \| 4 \| 6 row 3 : 3 \| 8 \| chris amon \| ferrari \| 80 \| + 16.6 \| 6 \| 4 row 4 : 4 \| 1 \| jack brabham \| brabham-repco \| 80 \| + 21.8 \| 3 \| 3 row 5 : 5 \| 12 \| pedro rodriguez \| cooper-maserati \| 79 \| + 1 lap \| 9 \| 2 row 6 : 6 \| 7 \| john surtees \| honda \| 78 \| + 2 laps \| 7 \| 1 row 7 : 7 \| 15 \| chris irwin \| brm \| 77 \| + 3 laps \| 13 \| None row 8 : 8 \| 20 \| david hobbs \| brm \| 77 \| + 3 laps \| 14 \| None row 9 : 9 \| 14 \| alan rees \| cooper-maserati \| 76 \| + 4 laps \| 15 \| None row 10 : 10 \| 18 \| guy ligier \| brabham-repco \| 76 \| + 4 laps \| 21 \| None row 11 : ret \| 19 \| bob anderson \| brabham-climax \| 67 \| engine \| 17 \| None row 12 : ret \| 6 \| graham hill \| lotus-ford \| 64 \| engine \| 2 \| None row 13 : ret \| 4 \| mike spence \| brm \| 44 \| ignition \| 11 \| None row 14 : ret \| 9 \| dan gurney \| eagle-weslake \| 34 \| clutch \| 5 \| None row 15 : ret \| 22 \| silvio moser \| cooper-ats \| 29 \| oil pressure \| 20 \| None row 16 : ret \| 11 \| jochen rindt \| cooper-maserati \| 26 \| engine \| 8 \| None row 17 : ret \| 3 \| jackie stewart \| brm \| 20 \| transmission \| 12 \| None row 18 : ret \| 10 \| bruce mclaren \| eagle-weslake \| 14 \| engine \| 10 \| None row 19 : ret \| 17 \| jo siffert \| cooper-maserati \| 10 \| engine \| 18 \| None row 20 : ret \| 23 \| jo bonnier \| cooper-maserati \| 0 \| engine \| 9 \| None row 21 : dns \| 16 \| piers courage \| brm \| 0 \| non starter \| None \| None ] Execute this SQL based on the above table: select time/retired group by time/retired having count ( * ) = 2	1.0, 3.0, 4.0
[ header: week \| date \| opponent \| results final score \| results team record \| venue \| attendance row 1 : 1 \| september 20 \| at detroit lions \| w 16-13 \| 1-0 \| tiger stadium \| 54,418 row 2 : 2 \| september 26 \| chicago bears \| l 20-17 \| 1-1 \| metropolitan stadium \| 47,900 row 3 : 3 \| october 3 \| buffalo bills \| w 19-0 \| 2-1 \| metropolitan stadium \| 47,900 row 4 : 4 \| october 10 \| at philadelphia eagle \| w 13-0 \| 3-1 \| veterans stadium \| 65,358 row 5 : 5 \| october 17 \| at green bay packers \| w 24-13 \| 4-1 \| lambeau field \| 56,263 row 6 : 6 \| october 25 \| baltimore colts \| w 10-3 \| 5-1 \| metropolitan stadium \| 49,784 row 7 : 7 \| october 31 \| at new york giants \| w 17-10 \| 6-1 \| yankee stadium \| 62,829 row 8 : 8 \| november 7 \| san francisco 49ers \| l 13-9 \| 6-2 \| metropolitan stadium \| 49,784 row 9 : 9 \| november 14 \| green bay packers \| w 3-0 \| 7-2 \| metropolitan stadium \| 49,784 row 10 : 10 \| november 21 \| at new orleans saints \| w 23-10 \| 8-2 \| tulane stadium \| 83,130 row 11 : 11 \| november 28 \| atlanta falcons \| w 24-7 \| 9-2 \| metropolitan stadium \| 49,784 row 12 : 12 \| december 5 \| at san diego chargers \| l 30-14 \| 9-3 \| san diego stadium \| 54,505 row 13 : 13 \| december 11 \| detroit lions \| w 29-10 \| 10-3 \| metropolitan stadium \| 49,784 row 14 : 14 \| december 19 \| at chicago bears \| w 27-10 \| 11-3 \| soldier field \| 55,049 ] Execute this SQL based on the above table: select venue where venue = 'metropolitan stadium' and week = 2	metropolitan stadium
[ header: creature (other planes) \| page \| other appearances \| variants \| description row 1 : aerial servant \| 39 \| rules cyclopedia (1991) \| None \| None row 2 : basilisk \| 39 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 3 : cockatrice \| 39 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 4 : djinni, lesser \| 39 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 5 : djinni, greater \| 39 \| rules cyclopedia (1991) \| None \| None row 6 : efreeti, lesser \| 39 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 7 : efreeti, greater \| 39-40 \| rules cyclopedia (1991) \| None \| None row 8 : elemental \| 40 \| d&d expert rules (1981), \| None \| describes additional statistics and abilities/penalties applicable row 9 : gorgon \| 40 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 10 : helion \| 40 \| rules cyclopedia (1991) \| None \| None row 11 : horde \| 41 \| rules cyclopedia (1991) \| None \| None row 12 : hydrax \| 41 \| rules cyclopedia (1991) \| None \| None row 13 : invisible stalker \| 41 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 14 : kryst \| 42 \| rules cyclopedia (1991) \| None \| None row 15 : medusa \| 42 \| d&d basic rules (1981), \| None \| describes additional abilities/penalties applicable to native row 16 : plasm \| 42 \| rules cyclopedia (1991) \| normal and giant \| None row 17 : salamander \| 42 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 18 : undine \| 42 \| rules cyclopedia (1991) \| None \| None ] Execute this SQL based on the above table: select count ( * ) where creature (other planes) > 530	18
[ header: # \| date \| opponent \| score \| win \| loss \| save \| attendance \| record row 1 : 107 \| august 3 \| red sox \| 7 - 4 \| green (5-1) \| timlin (1-1) \| putz (32) \| 46235 \| 60-47 row 2 : 110 \| august 7 \| @ orioles \| 10 - 3 \| weaver (3-10) \| walker (1-2) \| None \| 25060 \| 61-49 row 3 : 111 \| august 8 \| @ orioles \| 8 - 4 \| hernandez (8-6) \| guthrie (7-4) \| putz (33) \| 17511 \| 62-49 row 4 : 112 \| august 9 \| @ orioles \| 13 - 8 \| ramirez (7-3) \| cabrera (8-12) \| sherrill (1) \| 18679 \| 63-49 row 5 : 113 \| august 10 \| @ white sox \| 5 - 3 \| vazquez (10-6) \| washburn (8-9) \| jenks (33) \| 38586 \| 63-50 row 6 : 114 \| august 11 \| @ white sox \| 7 - 6 \| batista (12-8) \| floyd (1-2) \| putz (34) \| 38210 \| 64-50 row 7 : 115 \| august 12 \| @ white sox \| 6 - 0 \| weaver (4-10) \| danks (6-10) \| None \| 36629 \| 65-50 row 8 : 117 \| august 14 \| twins \| 11 - 3 \| garza () \| ramirez (7-4) \| None \| 33729 \| 66-51 row 9 : 118 \| august 15 \| twins \| 6 - 1 \| neshek (7-2) \| washburn (8-10) \| None \| 42921 \| 66-52 row 10 : 119 \| august 17 \| white sox \| 5 - 4 \| batista (13-8) \| contreras (6-15) \| putz (35) \| 46170 \| 67-52 row 11 : 120 \| august 18 \| white sox \| 7 - 5 \| weaver (5-10) \| danks (6-11) \| putz (36) \| 41121 \| 68-52 row 12 : 121 \| august 19 \| white sox \| 11 - 5 \| hernandez (9-6) \| garland (8-9) \| None \| 45668 \| 69-52 row 13 : 122 \| august 20 \| @ twins \| 9 - 4 \| ramirez (8-4) \| garza (2-4) \| None \| 31755 \| 70-52 row 14 : 123 \| august 21 \| @ twins \| 7 - 2 \| washburn (9-10) \| baker (6-6) \| None \| 42373 \| 71-52 row 15 : 124 \| august 22 \| @ twins \| 8 - 4 \| silva (10-12) \| batista (13-9) \| None \| 29881 \| 71-53 row 16 : 125 \| august 23 \| @ rangers \| 9 - 4 \| weaver (6-10) \| loe (6-10) \| None \| 26963 \| 72-53 row 17 : 127 \| august 25 \| @ rangers \| 5 - 3 \| benoit (7-3) \| white (1-1) \| wilson (8) \| 47977 \| 73-54 row 18 : 128 \| august 26 \| @ rangers \| 5 - 3 \| padilla (4-9) \| washburn (9-11) \| None \| 25437 \| 73-55 row 19 : 129 \| august 27 \| angels \| 6 - 0 \| lackey (16-8) \| batista (13-10) \| None \| 45998 \| 73-56 row 20 : 130 \| august 28 \| angels \| 10 - 6 \| speier (2-3) \| morrow (3-3) \| None \| 44395 \| 73-57 row 21 : 131 \| august 29 \| angels \| 8 - 2 \| weaver (10-6) \| hernandez (10-7) \| None \| 46047 \| 73-58 row 22 : 132 \| august 30 \| @ indians \| 6 - 5 \| borowski (3-5) \| o'flaherty (7- \| None \| 25949 \| 73-59 ] Execute this SQL based on the above table: select attendance where attendance > 1948 order by attendance asc limit 1	17511
[ header: score \| 2007 \| 2008 \| 2009 \| 2010 \| 2011 \| 2012 \| 2013 row 1 : 5 \| 15.3% \| 18.4% \| 18.0% \| 17.1% \| 17.0% \| 16.4% \| 18.9% row 2 : 4 \| 18.0% \| 17.5% \| 17.9% \| 18.5% \| 18.4% \| 19.3% \| 21.5% row 3 : 3 \| 23.0% \| 20.0% \| 20.2% \| 19.3% \| 19.5% \| 20.1% \| 18.8% row 4 : 2 \| 18.5% \| 14.3% \| 14.2% \| 12.7% \| 14.6% \| 15.0% \| 14.9% row 5 : 1 \| 25.3% \| 29.9% \| 29.8% \| 32.3% \| 30.4% \| 29.2% \| 26.0% row 6 : mean \| 2.79 \| 2.8 \| 2.8 \| 2.76 \| 2.77 \| 2.79 \| 2.92 row 7 : number of students \| 97136 \| 100586 \| 104789 \| 115077 \| 122651 \| 132425 \| 140006 ] Execute this SQL based on the above table: select 2007 where 2007 in ( '23.0%' , '23.0%' ) group by 2007 order by count ( * ) desc limit 1	23.0%
[ header: rnd \| date \| location \| laps \| distance \| time \| speed (km/h) \| winner \| pole position \| most leading laps \| fastest race lap row 1 : 1 \| january 24 \| walt disney world speedway, flori \| 200 \| 200 mi (320 km) \| 2'06:04.000 \| 153.186 \| tony stewart \| tony stewart \| tony stewart \| kenny brack row 2 : 2 \| march 22 \| phoenix international raceway, ari \| 200 \| 200 mi (320 km) \| 2'02:18.735 \| 157.888 \| scott sharp \| jeff ward \| tony stewart \| tony stewart row 3 : 3 \| may 24 \| indianapolis motor speedway, indian \| 200 \| 500 mi (800 km) \| 3'26:40.524 \| 233.598 \| eddie cheever \| billy boat \| eddie cheever \| tony stewart row 4 : 4 \| june 6 \| texas motor speedway, tex \| 208 \| 312 mi (502 km) \| 2'08:45.543 \| 233.973 \| billy boat \| tony stewart \| billy boat \| tony stewart row 5 : 5 \| june 28 \| new hampshire international speedway, new \| 200 \| 211.6 mi (340.5 km) \| 1'51:30.262 \| 183.237 \| tony stewart \| billy boat \| tony stewart \| davey hamilton row 6 : 6 \| july 19 \| dover international speedway, delaware \| 248 \| 248 mi (399 km) \| 2'29:49.262 \| 159.833 \| scott sharp \| tony stewart \| scott sharp \| greg ray row 7 : 7 \| july 25 \| lowe's motor speedway, north car \| 208 \| 312 mi (502 km) \| 1'58:10.555 \| 254.926 \| kenny brack \| tony stewart \| kenny brack \| kenny brack row 8 : 8 \| august 16 \| pikes peak international raceway, colorad \| 200 \| 200 mi (320 km) \| 1'29:52.649 \| 214.866 \| kenny brack \| billy boat \| jeff ward \| jeff ward row 9 : 9 \| august 29 \| atlanta motor speedway, georgi \| 200 \| 312 mi (502 km) \| 2'17:15.289 \| 225.343 \| kenny brack \| billy boat \| scott goodyear \| billy boat row 10 : 10 \| september 20 \| texas motor speedway, tex \| 208 \| 312 mi (502 km) \| 2'21:53.557 \| 212.316 \| john paul, jr \| billy boat \| tony stewart \| jeff ward row 11 : 11 \| october 11 \| las vegas motor speedway, \| 208 \| 312 mi (502 km) \| 2'18:19.202 \| 217.8 \| arie luyendyk \| billy boat \| arie luyendyk \| arie luyendyk ] Execute this SQL based on the above table: select location where id = ( select id where fastest race lap = 'kenny brack' ) + 1	phoenix international raceway, arizona
[ header: publication \| score \| review row 1 : 1up.com \| b \| → row 2 : weekly famitsu \| 36 of 40 \| print row 3 : gamepro.com \| 6.5 of 10 \| → row 4 : gamespot \| 7.5 of 10 \| → row 5 : hardcore gamer magazine \| 9.5 of 10 \| print row 6 : ign.com \| 7.9 of 10 \| → row 7 : nintendo power \| 8 of 10 \| print row 8 : play magazine \| 7 of 10 \| print row 9 : metacritic \| 76 of 100 \| → ] Execute this SQL based on the above table: select review where publication = 'gamepro.com'	→
[ header: name \| rural municipality (rm) \| population (2011) \| population (2006) \| change (%) \| land area (km2) \| population density (per km2) row 1 : assiniboia \| lake of the rivers no. 72 \| 2418 \| 2305 \| 4.9 \| 3.78 \| 639.8 row 2 : bengough \| bengough no. 40 \| 313 \| 337 \| -7.1 \| 1.07 \| 292 row 3 : bienfait \| coalfields no. 4 \| 780 \| 748 \| 4.3 \| 3.09 \| 252.4 row 4 : big river \| big river no. 555 \| 639 \| 728 \| -12.2 \| 2.51 \| 255 row 5 : birch hills \| birch hills no. 460 \| 1064 \| 935 \| 13.8 \| 2.27 \| 468.4 row 6 : broadview \| elcapo no. 154 \| 574 \| 611 \| -6.1 \| 2.45 \| 233.8 row 7 : bruno \| bayne no. 371 \| 574 \| 495 \| 16 \| 0.95 \| 606.1 row 8 : churchbridge \| churchbridge no. 211 \| 743 \| 704 \| 5.5 \| 2.76 \| 269.2 row 9 : craik \| craik no. 222 \| 453 \| 408 \| 11 \| 3.02 \| 150 row 10 : govan \| last mountain valley no. 250 \| 216 \| 232 \| -6.9 \| 1.35 \| 159.7 row 11 : kindersley \| kindersley no. 290 \| 4678 \| 4412 \| 6 \| 12.55 \| 372.8 row 12 : kipling \| kingsley no. 124 \| 1051 \| 973 \| 8 \| 2.15 \| 487.9 row 13 : lampman \| browning no. 34 \| 713 \| 634 \| 12.5 \| 2.23 \| 319.9 row 14 : leader \| happyland no. 231 \| 821 \| 881 \| -6.8 \| 1.71 \| 481.2 row 15 : lemberg \| abernethy no. 186 \| 274 \| 255 \| 7.5 \| 2.67 \| 102.7 row 16 : lumsden \| lumsden no. 189 \| 1631 \| 1523 \| 7.1 \| 4.06 \| 402 row 17 : maple creek \| maple creek no. 111 \| 2176 \| 2198 \| -1 \| 4.42 \| 492.1 row 18 : milestone \| brock no. 64 \| 618 \| 562 \| 10 \| 2.17 \| 284.4 row 19 : morse \| morse no. 165 \| 240 \| 236 \| 1.7 \| 1.45 \| 165.7 row 20 : naicam \| pleasantdale no. 398 \| 686 \| 690 \| -0.6 \| 1.69 \| 405.5 row 21 : nipawin \| nipawin no. 487 \| 4265 \| 4076 \| 4.6 \| 8.71 \| 489.4 row 22 : osler \| corman park no. 344 \| 1088 \| 926 \| 17.5 \| 1.55 \| 700.6 row 23 : pilot butte \| mcleod no. 185 \| 1848 \| 1872 \| -1.3 \| 5.05 \| 365.6 row 24 : porcupine plain \| porcupine no. 395 \| 855 \| 783 \| 9.2 \| 2.27 \| 377.2 row 25 : preeceville \| preeceville no. 334 \| 1070 \| 1050 \| 1.9 \| 3.06 \| 350.2 row 26 : rouleau \| redburn no. 130 \| 453 \| 400 \| 13.3 \| 1.61 \| 282.2 row 27 : shaunavon \| grassy creek no. 78 \| 1756 \| 1691 \| 3.8 \| 5.1 \| 344.2 row 28 : springside \| st. philips no. \| 534 \| 513 \| 4.1 \| 0.68 \| 791 row 29 : star city \| star city no. 428 \| 460 \| 428 \| 7.5 \| 0.7 \| 661.1 row 30 : strasbourg \| mckillop no. 220 \| 752 \| 732 \| 2.7 \| 5.7 \| 132 ] Execute this SQL based on the above table: select rural municipality (rm) where id = ( select id where rural municipality (rm) = 'coalfields no. 4' ) + 1	big river no. 555
[ header: year \| representative \| hometown \| placement in miss nepal \| special awards at miss nepal \| placement in miss pokhara row 1 : 1995 \| rita gurung \| pamee \| 1st runner up \| None \| winner row 2 : 1996 \| binita gurung \| batulichor \| 2nd runner up \| None \| winner row 3 : 1997 \| neelima gurung \| nadipur \| winner \| miss personality \| winner row 4 : 1998 \| sunita ranjit \| lakeside \| None \| None \| winner row 5 : 1999 \| kripa gurung \| tersapatti \| 2nd runner up \| miss photogenic \| winner row 6 : 2004 \| anita gurung \| bajapatan \| 2nd runner up \| miss talent \| miss paschimanchal 2003 row 7 : 2005 \| chandra gurung \| ghorepatan \| None \| None \| None row 8 : 2011 \| madina begum \| pokreli \| None \| miss perseverance \| None row 9 : 2012 \| dilasha gc \| chindata \| None \| None \| None row 10 : 2013 \| sipora gurung \| mahendrapool \| 3rd runner up \| miss talent \| None row 11 : 2014 \| rashmi adhikari \| goripatan \| None \| None \| winner ] Execute this SQL based on the above table: select count ( * ) where special awards at miss nepal = 'miss talent'	2
[ header: rank \| athlete \| nationality \| time row 1 : None \| moses tanui \| kenya \| 1:01:45 row 2 : None \| paul yego \| kenya \| 1:01:46 row 3 : 4 \| antonio serrano \| spain \| 1:01:56 row 4 : 7 \| herder vazquez \| colombia \| 1:02:32 row 5 : 8 \| nobuyuki sato \| japan \| 1:02:36 row 6 : 10 \| joaquim pinheiro \| portugal \| 1:02:40 row 7 : 13 \| danilo goffi \| italy \| 1:02:49 row 8 : 14 \| oleg strizhakov \| russia \| 1:02:54 row 9 : 18 \| muhammed nazipov \| russia \| 1:03:02 row 10 : 23 \| meck mothuli \| south africa \| 1:03:25 row 11 : 39 \| juan antonio crespo \| spain \| 1:04:12 row 12 : 46 \| daniel held \| united states \| 1:04:30 row 13 : 53 \| kaare sørensen \| denmark \| 1:04:51 row 14 : 59 \| kingston maringe \| zimbabwe \| 1:05:12 row 15 : 60 \| abel chimukoko \| zimbabwe \| 1:05:15 row 16 : 62 \| yann millon \| france \| 1:05:20 row 17 : 66 \| manuel matias \| portugal \| 1:05:23 row 18 : 70 \| tolosa gebre \| ethiopia \| 1:05:37 row 19 : 79 \| marcos villa \| mexico \| 1:06:16 row 20 : 83 \| chris verbeeck \| belgium \| 1:06:37 row 21 : 84 \| julius ruto \| kenya \| 1:06:40 row 22 : 90 \| ronald schut \| netherlands \| 1:06:53 row 23 : 92 \| khelil benhalima \| algeria \| 1:07:01 row 24 : 96 \| tayeb kallou \| algeria \| 1:07:21 row 25 : 105 \| ebrahim etta-ati \| iran \| 1:08:10 row 26 : 106 \| wilson theleso \| botswana \| 1:08:12 row 27 : 108 \| haja ramananjatavo \| madagascar \| 1:08:25 row 28 : 116 \| ajay chuttoo \| mauritius \| 1:09:29 row 29 : 118 \| parakhat kurtgeldiye \| turkmenistan \| 1:09:50 row 30 : 122 \| edo janic \| yugoslavia \| 1:10:38 row 31 : 130 \| lee kar lun \| hong kong \| 1:13:28 row 32 : 133 \| binesh prasad \| fiji \| 1:15:38 row 33 : 137 \| genc lugja \| albania \| 1:16:53 row 34 : None \| baha tulumbo \| tanzania \| dnf ] Execute this SQL based on the above table: select rank where rank = 118	118.0
[ header: year \| album \| territory \| label \| notes row 1 : 1989 \| good deeds and dirty rags \| uk \| capitol records \| debut album, reached no. 26 on uk row 2 : 1989 \| fish heads and tails \| uk \| capitol records \| mid-price live and rarities compilation row 3 : 1991 \| hammer and tongs \| uk \| radioactive records/mca \| second studio album; reached no. 61 on row 4 : 1991 \| goodbye mr. mackenzie \| international \| radioactive records/mca \| compilation of tracks from both albums, remixed row 5 : 1993 \| live on the day of storms \| uk \| blokshok records \| live album row 6 : 1994 \| five \| uk \| blokshok records \| third studio album row 7 : 1995 \| jezebel \| uk \| blokshok records \| rarities compilation row 8 : 1996 \| the glory hole \| uk \| blokshok records \| fourth and final studio album: manson, row 9 : 2005 \| the river sessions \| uk \| river records \| double live album row 10 : 2009 \| the rattler: live '91' \| uk \| md music company \| live album (digital release) ] Execute this SQL based on the above table: select notes order by year desc limit 1	live album (digital release)
[ header: year \| representative \| hometown \| placement in miss nepal \| special awards at miss nepal \| placement in miss pokhara row 1 : 1995 \| rita gurung \| pamee \| 1st runner up \| None \| winner row 2 : 1996 \| binita gurung \| batulichor \| 2nd runner up \| None \| winner row 3 : 1997 \| neelima gurung \| nadipur \| winner \| miss personality \| winner row 4 : 1998 \| sunita ranjit \| lakeside \| None \| None \| winner row 5 : 1999 \| kripa gurung \| tersapatti \| 2nd runner up \| miss photogenic \| winner row 6 : 2004 \| anita gurung \| bajapatan \| 2nd runner up \| miss talent \| miss paschimanchal 2003 row 7 : 2005 \| chandra gurung \| ghorepatan \| None \| None \| None row 8 : 2011 \| madina begum \| pokreli \| None \| miss perseverance \| None row 9 : 2012 \| dilasha gc \| chindata \| None \| None \| None row 10 : 2013 \| sipora gurung \| mahendrapool \| 3rd runner up \| miss talent \| None row 11 : 2014 \| rashmi adhikari \| goripatan \| None \| None \| winner ] Execute this SQL based on the above table: select count ( distinct representative ) where placement in miss pokhara = 'None'	0
[ header: \| \| \| \| \| \| \| \| row 1 : ccc \| ieee conference on computational complexity \| 1993 \| 1996 \| 1999 \| None \| 2007 \| 2011 \| 2015 row 2 : ec \| acm conference on electronic commerce \| None \| None \| None \| 2003 \| 2007 \| 2011 \| 2015 row 3 : isca \| acm/ieee international \| 1993 \| 1996 \| 1999 \| 2003 \| 2007 \| 2011 \| 2015 row 4 : lctes \| acm sigplan/sigbed \| None \| None \| 1999 \| 2003 \| 2007 \| None \| None row 5 : metrics \| acm sigmetrics international conference \| None \| 1996 \| 1999 \| 2003 \| 2007 \| None \| 2015 row 6 : pldi \| acm sigplan conference on programming \| None \| 1996 \| 1999 \| 2003 \| 2007 \| 2011 \| 2015 row 7 : podc \| acm symposium on principles of distributed computing \| None \| 1996 \| 1999 \| None \| None \| 2011 \| None row 8 : ppopp \| acm sigplan symposium on principles \| 1993 \| None \| 1999 \| 2003 \| None \| None \| None row 9 : spaa \| acm symposium on parallelism in \| None \| None \| None \| 2003 \| 2007 \| 2011 \| 2015 row 10 : socg \| acm symposium on computational geometry \| 1993 \| 1996 \| None \| 2003 \| None \| None \| None row 11 : stoc \| acm symposium on theory of computing \| 1993 \| 1996 \| 1999 \| 2003 \| 2007 \| 2011 \| 2015 ] Execute this SQL based on the above table: select order by desc limit 1	ccc
[ header: year \| title \| role \| notes row 1 : 2006 \| save the last dance 2 \| mixx \| direct to video row 2 : 2007 \| nick cannon/wild 'n \| himself \| improv comedy row 3 : 2007 \| stomp the yard \| rich brown \| film row 4 : 2011 \| csi: ny \| the hitman \| episode 7.14 "smooth criminal" row 5 : 2011 \| the fresh beat band \| himself \| special episode "band in a jam" row 6 : 2011 \| battle: los angeles \| specks \| film row 7 : 2012 \| empire girls: julissa \| himself \| reality-show row 8 : 2012 \| red tails \| andrew 'smoky' \| film row 9 : 2012 \| i heart tuesdays \| none \| (tv), creator row 10 : 2012 \| the x factor \| guest mentor \| None row 11 : 2012 \| never mind the buzzcocks \| guest host \| None row 12 : 2012 \| 90210 \| guest star \| None ] Execute this SQL based on the above table: select sum ( year )	24125
[ 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 \| competition \| date \| location \| opponent \| score \| result \| bye row 1 : 1990 \| world group, 1st round \| 2-4 feb \| barcelona (esp) \| spain \| 3-2 \| win \| row 2 : 1990 \| world group, quarterfinals \| 30 mar - 2 apr \| vienna (aut) \| italy \| 5-0 \| win \| row 3 : 1990 \| world group, semifinals \| 21-23 sep \| vienna (aut) \| united states \| 2-3 \| loss \| row 4 : 1991 \| world group, 1st round \| 1-3 feb \| prague (tch) \| czechoslovakia \| 1-4 \| loss \| row 5 : 1991 \| world group, relegation play-off \| 20-22 sep \| manchester (gbr) \| great britain \| 1-3 \| loss \| row 6 : 1992 \| euro/african zone group i \| None \| None \| None \| None \| None \| row 7 : 1992 \| euro/african zone group i \| 1-3 may \| helsinki (fin) \| finland \| 4-1 \| win \| row 8 : 1992 \| world group, relegation play-off \| 25-27 sep \| vancouver (can) \| canada \| 3-1 \| win \| row 9 : 1993 \| world group, 1st round \| 26-28 mar \| vienna (aut) \| france \| 1-4 \| loss \| row 10 : 1993 \| world group, relegation play-off \| 24-26 sep \| christchurch (nzl) \| new zealand \| 3-2 \| win \| row 11 : 1994 \| world group, 1st round \| 26-28 mar \| graz (aut) \| germany \| 2-3 \| loss \| row 12 : 1994 \| world group, relegation play-off \| 23-25 sep \| montevideo (uru) \| uruguay \| 3-2 \| win \| row 13 : 1995 \| world group, 1st round \| 3-5 feb \| vienna (aut) \| spain \| 4-1 \| win \| row 14 : 1995 \| world group, quarterfinals \| 31 mar - 2 apr \| vaxjo (swe) \| sweden \| 0-5 \| loss \| row 15 : 1996 \| world group, 1st round \| 9-12 feb \| johannesburg (rsa) \| south africa \| 2-3 \| loss \| row 16 : 1996 \| world group, relegation play-off \| 20-22 sep \| sao paulo (bra) \| brazil \| 1-4 \| loss \| row 17 : 1997 \| euro/african zone group i \| None \| None \| None \| None \| None \| row 18 : 1997 \| euro/african zone group i \| 4-6 apr \| graz (aut) \| croatia \| 3-2 \| win \| row 19 : 1997 \| world group, relegation play-off \| 19-21 sep \| harare (zim) \| zimbabwe \| 2-3 \| loss \| row 20 : 1998 \| euro/african zone group i \| 3-5 apr \| ramat hasharon (isr) \| israel \| 1-4 \| loss \| row 21 : 1998 \| euro/african zone group i \| 25-27 sep \| portschach (aut) \| denmark \| 5-0 \| win \| row 22 : 1999 \| euro/african zone group i \| 2-4 apr \| wels (aut) \| portugal \| 4-1 \| win \| row 23 : 1999 \| world group, relegation play-off \| 24-26 sep \| portschach (aut) \| sweden \| 3-2 \| win \| ] Execute this SQL based on the above table: select count ( bye ) where year > ( select year where bye = '' )	20
[ header: year \| group \| award \| result \| notes row 1 : 1994 \| venice film festival \| best actor \| won \| before the rain (1994 film) row 2 : 1996 \| new zealand film and tv \| best foreign performer \| won \| broken english (1996 film) row 3 : 2006 \| monaco international film festival \| best actor \| won \| short order row 4 : 2007 \| rome film fest \| best actor \| won \| fugitive pieces (film) row 5 : 2008 \| satellite awards \| best actor in a supporting role \| nominated \| fugitive pieces (film) row 6 : 2008 \| vancouver film critics circle \| best supporting actor in a canadian film \| nominated \| fugitive pieces (film) row 7 : 2009 \| genie awards \| best performance by an actor in a supporting role \| nominated \| fugitive pieces (film) row 8 : 2012 \| tetouan international mediterra \| best actor \| won \| io sono li ] Execute this SQL based on the above table: select notes order by year asc limit 1	before the rain (1994 film)
[ header: rank \| name \| nationality \| 1,62 \| 1,67 \| 1,72 \| 1,75 \| notes row 1 : 1 \| dior delophont \| france \| None \| o \| o \| o \| q row 2 : 1 \| ligia grozav \| romania \| None \| o \| o \| o \| q row 3 : 3 \| iryna herashchenko \| ukraine \| None \| o \| xo \| o \| q row 4 : 4 \| lucija zupzic \| croatia \| o \| o \| o \| xo \| q row 5 : 4 \| chanice porter \| jamaica \| None \| None \| None \| xo \| q row 6 : 6 \| alexandra plaza \| germany \| o \| xo \| o \| xxo \| q row 7 : 7 \| nikola parilova \| czech republic \| o \| o \| o \| xxx \| q row 8 : 7 \| ioanna koltsid \| greece \| o \| o \| o \| xxx \| q row 9 : 9 \| leontia kallenou \| cyprus \| None \| xo \| xo \| xxx \| None row 10 : 10 \| anna pau \| italy \| xxo \| o \| xxo \| xxx \| None row 11 : 11 \| emily crutcher \| australia \| o \| o \| xxx \| None \| None row 12 : 11 \| keeley o'hagan \| new zealand \| o \| o \| xxx \| None \| None row 13 : 13 \| dace dreimane \| latvia \| xo \| o \| xxx \| None \| None row 14 : 14 \| vivien baglyos \| hungary \| o \| xo \| xxx \| None \| None row 15 : 15 \| thea lafond \| dominica \| xo \| xxx \| None \| None \| None ] Execute this SQL based on the above table: select rank order by rank desc limit 1	15.0
[ header: name \| county \| population (2012 est.) \| population (2010) \| land area row 1 : bremerton \| kitsap \| 39,251 \| 37,729 \| 28.41 sq mi (73.6 km2) row 2 : carnation \| king \| 1,823 \| 1,786 \| 1.16 sq mi (3.0 km2) row 3 : colville \| stevens \| 4,669 \| 4,673 \| 2.93 sq mi (7.6 km2) row 4 : des moines \| king \| 30,449 \| 29,673 \| 6.50 sq mi (16.8 km2) row 5 : duvall \| king \| 7,183 \| 6,695 \| 2.47 sq mi (6.4 km2) row 6 : edmonds \| snohomish \| 40,400 \| 39,709 \| 8.91 sq mi (23.1 km2) row 7 : elma \| grays harbor \| 3,095 \| 3,107 \| 1.89 sq mi (4.9 km2) row 8 : ferndale \| whatcom \| 11,998 \| 11,415 \| 6.61 sq mi (17.1 km2) row 9 : fife \| pierce \| 9,333 \| 9,173 \| 5.68 sq mi (14.7 km2) row 10 : gig harbor \| pierce \| 7,549 \| 7,126 \| 5.95 sq mi (15.4 km2) row 11 : goldendale \| klickitat \| 3,471 \| 3,407 \| 2.52 sq mi (6.5 km2) row 12 : granite falls \| snohomish \| 3,416 \| 3,364 \| 2.18 sq mi (5.6 km2) row 13 : harrington \| lincoln \| 420 \| 424 \| 0.38 sq mi (0.98 km2) row 14 : kenmore \| king \| 21,280 \| 20,460 \| 6.15 sq mi (15.9 km2) row 15 : lake stevens \| snohomish \| 29,104 \| 28,069 \| 8.88 sq mi (23.0 km2) row 16 : lakewood \| pierce \| 58,852 \| 58,163 \| 17.17 sq mi (44.5 km2) row 17 : mesa \| franklin \| 518 \| 489 \| 1.64 sq mi (4.2 km2) row 18 : monroe \| snohomish \| 17,503 \| 17,304 \| 6.05 sq mi (15.7 km2) row 19 : montesano \| grays harbor \| 3,962 \| 3,976 \| 10.41 sq mi (27.0 km2) row 20 : napavine \| lewis \| 1,778 \| 1,766 \| 2.38 sq mi (6.2 km2) row 21 : newport \| pend oreille \| 2,116 \| 2,126 \| 1.07 sq mi (2.8 km2) row 22 : oroville \| okanogan \| 1,698 \| 1,686 \| 1.64 sq mi (4.2 km2) row 23 : pomeroy \| garfield \| 1,422 \| 1,425 \| 1.78 sq mi (4.6 km2) row 24 : port angeles \| clallam \| 19,056 \| 19,038 \| 10.70 sq mi (27.7 km2) row 25 : puyallup \| pierce \| 38,147 \| 37,022 \| 13.93 sq mi (36.1 km2) row 26 : roslyn \| kittitas \| 910 \| 893 \| 4.37 sq mi (11.3 km2) row 27 : sammamish \| king \| 49,069 \| 45,780 \| 18.22 sq mi (47.2 km2) row 28 : shoreline \| king \| 54,352 \| 53,007 \| 11.67 sq mi (30.2 km2) row 29 : snohomish \| snohomish \| 9,275 \| 9,098 \| 3.44 sq mi (8.9 km2) row 30 : stevenson \| skamania \| 1,473 \| 1,465 \| 1.64 sq mi (4.2 km2) row 31 : tenino \| thurston \| 1,724 \| 1,695 \| 1.44 sq mi (3.7 km2) row 32 : wapato \| yakima \| 5,065 \| 4,997 \| 1.17 sq mi (3.0 km2) ] Execute this SQL based on the above table: select name order by population (2010) limit 1	harrington
[ 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 count ( location ) where output (mw ac) < 1573	7
[ header: title \| year \| director \| country \| genre \| notes row 1 : 101 reykjavik \| 2000 \| baltasar kormakur \| iceland \| comedy \| None row 2 : big eden \| 2000 \| thomas bezucha \| united states \| romantic drama \| None row 3 : billy elliot \| 2000 \| stephen daldry \| england france \| comedy drama \| None row 4 : borstal boy \| 2000 \| peter sheridan \| england ireland \| romantic drama \| None row 5 : chuck & buck \| 2000 \| miguel arteta \| united states \| comedy drama \| None row 6 : citizens of perpetual indulgence \| 2000 \| alex monty canawati \| united states \| drama \| None row 7 : doors cut down \| 2000 \| antonio hens \| spain \| short comedy \| aka en malas companias row 8 : faites comme si je n'eta \| 2000 \| olivier jahan \| france \| drama \| None row 9 : the girl \| 2000 \| sande zeig \| united states france \| romantic drama \| None row 10 : an intimate friendship \| 2000 \| angela evers hughey \| united states \| romance, drama \| None row 11 : the iron ladies (satree lek \| 2000 \| youngyooth thongkonthun \| thailand \| comedy \| based on a true story of a row 12 : just a question of love \| 2000 \| christian faure \| france belgium \| drama \| None row 13 : km. 0 \| 2000 \| yolanda garcia serran \| spain \| romantic comedy drama \| None row 14 : the legend of rita \| 2000 \| volker schlondorff \| germany \| romantic drama \| None row 15 : marlene \| 2000 \| joseph vilsmaier \| germany italy \| biography drama music \| None row 16 : mercy \| 2000 \| damian harris \| united states \| mystery, thriller \| None row 17 : the monkey's mask \| 2000 \| samantha lang \| australia \| crime thriller \| None row 18 : the next best thing \| 2000 \| john schlesinger \| united states \| romantic comedy drama \| None row 19 : no one sleeps \| 2000 \| jochen hick \| germany \| drama, mystery \| None row 20 : once in a lifetime \| 2000 \| susanne bier \| denmark sweden \| music comedy drama \| None row 21 : our lady of the assassins \| 2000 \| barbet schroeder \| spain france colombia \| romantic crime drama \| aka la virgen de los s row 22 : the perfect son \| 2000 \| leonard farlinger \| canada \| drama \| None row 23 : the phantom \| 2000 \| joao pedro rodr \| portugal \| drama \| aka o fantasma row 24 : presque rien \| 2000 \| sebastien lifshitz \| france belgium \| romantic drama \| aka come undone and almost nothing row 25 : red dirt \| 2000 \| tag purvis \| united states \| romantic drama \| None row 26 : revoir julie \| 2000 \| jeanne crepeau \| quebec \| comedy, drama \| None row 27 : sordid lives \| 2000 \| del shores \| united states \| comedy \| None row 28 : straightman \| 2000 \| ben berkowitz \| united states \| drama \| None row 29 : things you can tell just by looking at her \| 2000 \| garcia rodrigo \| united states \| romantic drama \| None row 30 : together \| 2000 \| lukas moodysson \| sweden denmark italy \| comedy drama \| None row 31 : water drops on burning rocks \| 2000 \| francois ozon \| france \| drama \| None ] Execute this SQL based on the above table: select notes where year = year	aka en malas companias, based on a true story of a gay/transgender volleyball team. stars jesdaporn pholdee, aka la virgen de los sicarios, aka o fantasma, aka come undone and almost nothing
[ header: # \| date \| opponent \| score \| win \| loss \| save \| attendance \| record \| other info row 1 : 104 \| august 2 \| phillies \| 3 - 2 10 \| smith (3-6) \| calhoun (0-1) \| None \| 33629 \| 54-50 \| None row 2 : 105 \| august 3 \| @ pirates \| 6 - 4 \| drabek (3-10) \| maddux (6-10) \| gott (1) \| 7281 \| 54-51 \| None row 3 : 106 \| august 4 \| @ pirates \| 3 - 2 11 \| mason (3-1) \| gideon (1-2) \| None \| 8744 \| 55-51 \| None row 4 : 107 \| august 5 \| @ pirates \| 10 - 0 \| fisher (7-6) \| moyer (9-8) \| None \| 7726 \| 55-52 \| None row 5 : 110 \| august 8 \| @ mets \| 5 - 3 \| mason (4-1) \| schulze (1-2) \| smith (27) \| 47893 \| 56-54 \| None row 6 : 111 \| august 9 \| @ mets \| 6 - 3 \| sanderson (5-6) \| gooden (9-4) \| smith (28) \| 49031 \| 57-54 \| None row 7 : 112 \| august 10 \| @ phillies \| 4 - 2 \| frohwirth (1-0) \| moyer (9-9) \| bedrosian (31) \| 26796 \| 57-55 \| None row 8 : 113 \| august 11 \| @ phillies \| 9 - 8 13 \| k. gross (7-10) \| tewksbury (0-4) \| None \| 30459 \| 57-56 \| None row 9 : 114 \| august 12 \| @ phillies \| 13 - 7 \| calhoun (1-1) \| lynch (1-7) \| None \| 36190 \| 57-57 \| None row 10 : 116 \| august 14 \| mets \| 6 - 1 \| sanderson (6-6) \| mitchell (3-5) \| None \| 17811 \| 59-57 \| None row 11 : 117 \| august 15 \| mets \| 7 - 3 \| moyer (10-9) \| leach (10-1) \| dipino (2) \| 32425 \| 60-57 \| None row 12 : 118 \| august 16 \| mets \| 23 - 10 \| darling (10-7) \| maddux (6-11) \| None \| 32731 \| 60-58 \| billy williams day ruined by row 13 : 119 \| august 18 \| @ braves \| 9 - 5 \| mahler (7-12) \| lynch (1-8) \| acker (8) \| 17469 \| 60-59 \| None row 14 : 120 \| august 19 \| @ braves \| 9 - 1 \| sanderson (7-6) \| puleo (5-6) \| None \| 10523 \| 61-59 \| None row 15 : 121 \| august 20 \| @ braves \| 13 - 4 \| acker (1-5) \| moyer (10-10) \| None \| 11647 \| 61-60 \| None row 16 : 123 \| august 22 \| astros \| 5 - 4 11 \| andersen (8-4) \| dipino (3-3) \| smith (21) \| 32552 \| 62-61 \| None row 17 : 124 \| august 23 \| astros \| 4 - 2 \| heathcock (3-1) \| sutcliffe (15-6) \| smith (22) \| 33934 \| 62-62 \| None row 18 : 126 \| august 27 \| braves \| 8 - 6 8 \| lancaster (4-1) \| mahler (7-13) \| dipino (3) \| 19006 \| 63-63 \| None row 19 : 127 \| august 28 \| @ reds \| 6 - 5 10 \| smith (4-7) \| franco (7-5) \| None \| 28223 \| 64-63 \| None row 20 : 128 \| august 29 \| @ reds \| 4 - 1 \| browning (6-11) \| sanderson (7-7) \| None \| 37783 \| 64-64 \| None ] Execute this SQL based on the above table: select save where save in ( 'gott (1)' , 400 ) order by save desc limit 1	gott (1)
[ header: airing date \| english title (chinese title) \| number of episodes \| main cast \| theme song (t) sub-theme song (st) \| genre \| notes \| official website row 1 : 19 feb- 15 mar \| mutual affection 河東獅吼 \| 20 \| esther kwan, gordon la \| t: "怕老婆會發達" (david \| costume drama \| None \| None row 2 : 18 mar- 3 may \| dark tales 聊齋 \| 35 \| gallen lo, grace yu, ja \| t: "隔世情" (cass \| costume drama \| prequel to 1998's dark tales \| None row 3 : 6 may- 31 may \| money just can't buy 天降財神 \| 20 \| bobby au yeung, mari \| t: "運財有福星" (natalis \| modern drama \| None \| None row 4 : 3 jun- 21 jun \| crossing boundaries 盞鬼老豆 \| 15 \| mini kung, benz hui \| t: "覺悟" (vivian \| modern drama \| released overseas on april 3, 1995 \| None row 5 : 24 jun- 16 aug \| state of divinity 笑傲江湖 \| 40 \| jackie lui, fiona le \| t: "活得瀟灑" (alan \| costume drama \| None \| official website row 6 : 19 aug- 6 sep \| the price to pay 五個醒覺的少年 \| 20 \| john kwan, may kw \| t: "改改改" (hacken le \| modern drama \| released overseas on december 7, 1995 \| None row 7 : 9 sep- 4 oct \| night journey 殭屍福星 \| 20 \| yuen wah, dani \| t: "今天開始" (danie \| costume drama \| None \| None row 8 : 7 oct- 15 nov \| food of love 闔府統請 \| 30 \| wong he, kenix k \| t: "闔府統請" (gabriel \| modern drama \| None \| None row 9 : 10 nov- 20 dec \| journey to the west 西遊記 \| 30 \| dicky cheung, kw \| t: "西遊記" (dicky \| costume drama \| prequel to 1998's journey to the west \| official website row 10 : 30 dec 1996- 27 jan 1998 \| in the name of love 有肥人終成眷屬 \| 20 \| kent cheng, sunny chan \| t: "但願有情人" (mo \| modern drama \| None \| None ] Execute this SQL based on the above table: select english title (chinese title) where number of episodes < 20 order by number of episodes desc limit 1	crossing boundaries 盞鬼老豆
[ header: name \| date of death \| ceremony \| year \| academy award \| film \| winner row 1 : marit allen \| 26-nov-07 \| 80th \| 2007 \| best costume design \| la vie en rose \| None row 2 : howard ashman \| 14-mar-91 \| 64th \| 1991 \| best music (song) \| beauty and the beast \| None row 3 : howard ashman \| 14-mar-91 \| 65th \| 1992 \| best music (song) \| aladdin \| None row 4 : robert alan aurth \| 20-nov-78 \| 52nd \| 1979 \| best picture \| all that jazz \| None row 5 : james dean \| 30-sep-55 \| 28th \| 1955 \| best actor \| east of eden \| None row 6 : gail dolgin \| 7-oct-10 \| 84th \| 2011 \| best documentary (short subject) \| the barber of birmingham \| None row 7 : gordon hollingshead \| 8-jul-52 \| 25th \| 1952 \| best short film (live action) \| desert killer \| None row 8 : william a. horning \| 2-mar-59 \| 31st \| 1958 \| best art direction \| gigi \| won row 9 : william a. horning \| 2-mar-59 \| 32nd \| 1959 \| best art direction \| ben-hur \| won row 10 : william a. horning \| 2-mar-59 \| 32nd \| 1959 \| best art direction \| north by northwest \| None row 11 : bert kalmar \| 18-sep-47 \| 24th \| 1951 \| best music (song) \| the strip \| None row 12 : jerome kern \| 11-nov-45 \| 19th \| 1946 \| best music (song) \| centennial summer \| None row 13 : william kiernan \| 19-nov-73 \| 46th \| 1973 \| best art direction \| the way we were \| None row 14 : frederic knudt \| 14-feb-64 \| 36th \| 1963 \| best film editing \| it's a mad, mad, mad \| None row 15 : alfred newman \| 17-feb-70 \| 43rd \| 1970 \| best music (scoring) \| airport \| None row 16 : joseph o'brien \| 30-mar-45 \| 18th \| 1945 \| best short film (live action) \| your national gallery \| None row 17 : bridget o'connor \| 22-sep-10 \| 84th \| 2011 \| best writing \| tinker tailor soldier spy \| None row 18 : arnold perl \| 11-dec-71 \| 45th \| 1972 \| best documentary (feature) \| malcolm x \| None row 19 : raymond rasch \| 23-dec-64 \| 45th \| 1972 \| best music (scoring) \| limelight \| won row 20 : larry russell \| 14-feb-54 \| 45th \| 1972 \| best music (scoring) \| limelight \| won row 21 : carol sobieski \| 4-nov-90 \| 64th \| 1991 \| best writing \| fried green tomatoes \| None row 22 : harry stradling \| 14-feb-70 \| 42nd \| 1969 \| best cinematography \| hello, dolly! \| None row 23 : spencer tracy \| 10-jun-67 \| 40th \| 1967 \| best actor \| guess who's coming to dinner \| None row 24 : robert l. wolfe \| 28-feb-81 \| 54th \| 1981 \| best film editing \| on golden pond \| None row 25 : sam zimbalist \| 4-nov-58 \| 32nd \| 1959 \| best picture \| ben-hur \| won ] Execute this SQL based on the above table: select abs ( ( select academy award where name = 'robert alan aurthur' ) - ( select ceremony where name = 'robert alan aurthur' ) )	52
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1994 \| european championships \| helsinki, finland \| 48th \| marathon \| 2:22:49 row 2 : 1995 \| world championships \| gothenburg, sweden \| 49th \| marathon \| 2:33:42 row 3 : 1996 \| summer olympics \| atlanta, georgia \| 58th \| marathon \| 2:23:14 row 4 : 1997 \| world championships \| athens, greece \| 48th \| marathon \| 2:29:10 row 5 : 1998 \| world cross country championships \| marrakech, morocco \| 85th \| long race \| None row 6 : 1998 \| world half marathon championships \| uster, switzerland \| 66th \| half marathon \| 1:05:00 row 7 : 1998 \| european championships \| budapest, hungary \| 29th \| marathon \| 2:19:38 row 8 : 1999 \| world half marathon championships \| palermo, italy \| 55th \| half marathon \| 1:05:45 row 9 : 1999 \| frankfurt marathon \| frankfurt, germany \| 1st \| marathon \| 2:12:37 row 10 : 1999 \| helsinki marathon \| helsinki, finland \| 1st \| marathon \| 2:19:18 row 11 : 2000 \| summer olympics \| sydney, australia \| 35th \| marathon \| 2:19:41 row 12 : 2001 \| frankfurt marathon \| frankfurt, germany \| 1st \| marathon \| 2:11:09 row 13 : 2002 \| paris marathon \| paris, france \| 2nd \| marathon \| 2:08:53 row 14 : 2002 \| european championships \| munich, germany \| 2nd \| marathon \| 2:13:18 row 15 : 2002 \| fukuoka marathon \| fukuoka, japan \| 4th \| marathon \| 2:10:14 row 16 : 2003 \| joongang seoul marathon \| seoul, south korea \| 1st \| marathon \| 2:09:15 row 17 : 2004 \| summer olympics \| athens, greece \| 26th \| marathon \| 2:18:09 row 18 : 2004 \| joongang seoul marathon \| seoul, south korea \| 1st \| marathon \| 2:09:34 row 19 : 2005 \| joongang seoul marathon \| seoul, south korea \| 4th \| marathon \| 2:12:12 row 20 : 2006 \| paris marathon \| paris, france \| 12th \| marathon \| 2:11:25 row 21 : 2007 \| world championships \| osaka, japan \| None \| marathon \| dnf row 22 : 2007 \| beppu-oita marathon \| beppu-oita, japan \| 8th \| marathon \| 2:14:49 row 23 : 2008 \| summer olympics \| beijing, china \| 75th \| marathon \| 2:39:01 ] Execute this SQL based on the above table: select notes order by year limit 1	2
[ header: name \| position \| year \| league apps \| league goals \| total apps \| total goals \| notes row 1 : walter langton \| lb / cf \| 1887-1905 \| 45 \| 28 \| 48 \| 48 \| doncaster's longest serving player appearance stats row 2 : tom keetley \| fw \| 1923-1929 \| 231 \| 180 \| 241 \| 186 \| record all time goalscorer. most goals in row 3 : fred emery \| wh \| 1924-1936 \| 417 \| 30 \| 439 \| 32 \| record league appearances manager of doncaster 1936-19 row 4 : paddy mcconnell \| if \| 1925-1930 \| 137 \| 20 \| 143 \| 21 \| the first current doncaster player to represent his country row 5 : syd bycroft \| df \| 1936-1951 \| 333 \| 2 \| 355 \| 2 \| including wartime league matches, he played row 6 : eddie perry \| cf \| 1936-1938 \| 98 \| 44 \| 102 \| None \| welsh international whilst at don row 7 : clarrie jordan \| fw \| 1945-1948 \| 60 \| 48 \| 67 \| 50 \| most doncaster league goals in one season (42 row 8 : charlie williams \| df \| 1948-1959 \| 158 \| 1 \| 174 \| 1 \| famous comedian row 9 : peter doherty \| if \| 1949-1953 \| 103 \| 55 \| 109 \| 58 \| ireland international player and manager of northern row 10 : len graham \| mf \| 1949-1958 \| 312 \| 3 \| 332 \| 3 \| northern ireland international whilst at row 11 : kit lawlor \| if \| 1950-1954 \| 127 \| 47 \| 143 \| 49 \| republic of ireland international whilst row 12 : harry gregg \| gk \| 1952-1957 \| 94 \| 0 \| 99 \| 0 \| northern ireland international whilst at row 13 : alick jeffrey \| fw \| 1954-1956, 1963-1968 \| 262 \| 129 \| 293 \| 140 \| youngest doncaster player (15 years 229 days row 14 : colin douglas \| fw \| 1981-1986, 1988-1993 \| 404 \| 53 \| 444 \| 62 \| record total appearances (not including the wartime row 15 : brian stock \| mf \| 2006-2012 \| 193 \| 18 \| 216 \| 23 \| welsh international whilst at don row 16 : billy sharp \| fw \| 2009-2012, 2014- \| 92 \| 44 \| 96 \| 45 \| record transfer fee paid: £1,150,000 ] Execute this SQL based on the above table: select count ( position ) where notes = 1118	0
[ header: pos \| country \| gold \| silver \| bronze \| total row 1 : 1 \| italy (ita) \| 3 \| 3 \| 1 \| 7 row 2 : 2 \| united states (usa) \| 3 \| 0 \| 1 \| 4 row 3 : 3 \| poland (pol) \| 1 \| 3 \| 3 \| 7 row 4 : 4 \| soviet union (urs) \| 1 \| 2 \| 2 \| 5 row 5 : 5 \| hungary (hun) \| 1 \| 0 \| 0 \| 1 row 6 : 5 \| czechoslovakia (t \| 1 \| 0 \| 1 \| 2 row 7 : 7 \| ghana (gha) \| 0 \| 1 \| 0 \| 1 row 8 : 7 \| south africa (rsa) \| 0 \| 1 \| 1 \| 2 row 9 : 9 \| great britain (gbr) \| 0 \| 0 \| 3 \| 3 row 10 : 10 \| australia (aus) \| 0 \| 0 \| 2 \| 2 row 11 : 11 \| japan (jpn) \| 0 \| 0 \| 1 \| 1 row 12 : 11 \| united arab republic (egy) \| 0 \| 0 \| 1 \| 1 row 13 : 11 \| finland (fin) \| 0 \| 0 \| 1 \| 1 row 14 : 11 \| argentina (arg) \| 0 \| 0 \| 1 \| 1 row 15 : 11 \| romania (rou) \| 0 \| 0 \| 1 \| 1 row 16 : 11 \| germany (eua) \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select count ( * ) where total <= 1145	16
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| united states \| 8 \| 7 \| 1 \| 16 row 2 : 2 \| russia \| 7 \| 7 \| 5 \| 19 row 3 : 3 \| france \| 3 \| 3 \| 2 \| 8 row 4 : 4 \| ethiopia \| 3 \| 2 \| 2 \| 7 row 5 : 5 \| belarus \| 3 \| 1 \| 3 \| 7 row 6 : 6 \| sweden \| 2 \| 1 \| 2 \| 5 row 7 : 7 \| kenya \| 2 \| 1 \| 1 \| 4 row 8 : 7= \| south africa \| 2 \| 1 \| 1 \| 4 row 9 : 9 \| morocco \| 2 \| 1 \| 0 \| 3 row 10 : 10 \| greece \| 1 \| 1 \| 2 \| 4 row 11 : 11 \| cuba \| 1 \| 1 \| 0 \| 2 row 12 : 12 \| italy \| 1 \| 0 \| 2 \| 3 row 13 : 13 \| canada \| 1 \| 0 \| 1 \| 2 row 14 : 14 \| algeria \| 1 \| 0 \| 0 \| 1 row 15 : 14= \| australia \| 1 \| 0 \| 0 \| 1 row 16 : 14= \| dominican republic \| 1 \| 0 \| 0 \| 1 row 17 : 14= \| ecuador \| 1 \| 0 \| 0 \| 1 row 18 : 14= \| lithuania \| 1 \| 0 \| 0 \| 1 row 19 : 14= \| mexico \| 1 \| 0 \| 0 \| 1 row 20 : 14= \| mozambique \| 1 \| 0 \| 0 \| 1 row 21 : 14= \| poland \| 1 \| 0 \| 0 \| 1 row 22 : 14= \| qatar \| 1 \| 0 \| 0 \| 1 row 23 : 14= \| saint kitts and nevis \| 1 \| 0 \| 0 \| 1 row 24 : 24 \| jamaica \| 0 \| 4 \| 2 \| 6 row 25 : 25 \| spain \| 0 \| 3 \| 2 \| 5 row 26 : 26 \| hungary \| 0 \| 2 \| 0 \| 2 row 27 : 27 \| germany \| 0 \| 1 \| 3 \| 4 row 28 : 27= \| japan \| 0 \| 1 \| 3 \| 4 row 29 : 27= \| ukraine \| 0 \| 1 \| 3 \| 4 row 30 : 30 \| great britain \| 0 \| 1 \| 2 \| 3 row 31 : 31 \| brazil \| 0 \| 1 \| 0 \| 1 row 32 : 31= \| cameroon \| 0 \| 1 \| 0 \| 1 row 33 : 31= \| czech republic \| 0 \| 1 \| 0 \| 1 row 34 : 31= \| estonia \| 0 \| 1 \| 0 \| 1 row 35 : 31= \| ireland \| 0 \| 1 \| 0 \| 1 row 36 : 31= \| trinidad and tobago \| 0 \| 1 \| 0 \| 1 row 37 : 31= \| turkey \| 0 \| 1 \| 0 \| 1 row 38 : 38 \| bahamas \| 0 \| 0 \| 3 \| 3 row 39 : 39 \| china \| 0 \| 0 \| 2 \| 2 row 40 : 40 \| india \| 0 \| 0 \| 1 \| 1 row 41 : 40= \| kazakhstan \| 0 \| 0 \| 1 \| 1 row 42 : 40= \| netherlands \| 0 \| 0 \| 1 \| 1 row 43 : 40= \| senegal \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select gold where rank = 7	2.0, 2.0
[ header: date \| time \| opponent# \| site \| tv \| result \| attendance row 1 : august 29 \| 7:30 pm \| appalachian state \| groves stadium • winston-sa \| None \| w 19-13 \| 21129 row 2 : september 7 \| 6:30 pm \| #13 northwestern \| groves stadium • winston-sa \| fsn \| w 28-27 \| 21749 row 3 : september 14 \| 7:00 pm \| at georgia tech \| bobby dodd stadium • atlant \| None \| l 10-30 \| 45750 row 4 : september 21 \| 12:00 pm \| #20 virginia \| groves stadium • winston-sa \| jps \| l 7-42 \| 23220 row 5 : september 28 \| 12:00 pm \| at clemson \| memorial stadium • clemson, s \| jps \| l 10-21 \| 63263 row 6 : october 5 \| 6:30 pm \| #15 north carolina \| groves stadium • winston-sa \| None \| l 6-45 \| 25681 row 7 : october 19 \| 2:00 pm \| at maryland \| byrd stadium • college park, m \| None \| l 0-52 \| 30212 row 8 : october 26 \| 1:00 pm \| navy \| groves stadium • winston-sa \| None \| l 18-47 \| 17307 row 9 : november 9 \| 12:00 pm \| vs. #3 florida state \| citrus bowl • orlando, f \| jps \| l 7-44 \| 34974 row 10 : november 16 \| 1:00 pm \| duke \| groves stadium • winston-sa \| None \| w 17-16 \| 17842 row 11 : november 23 \| 1:00 pm \| at nc state \| carter-finley stadium • r \| None \| l 22-37 \| 40500 ] Execute this SQL based on the above table: select opponent# order by attendance desc limit 1	at clemson
[ header: represent \| contestant \| age \| height \| hometown row 1 : 1 \| mildred kincaid adame \| 20 \| 1.65 mts \| panama city row 2 : 2 \| catherine henderson tudi \| 20 \| 1.66 mts \| panama city row 3 : 3 \| giovanna alida loa \| 21 \| 1.67 mts \| panama city row 4 : 4 \| reyna royo \| 24 \| 1.69 mts \| panama city row 5 : 5 \| ivonne ileana correa \| 23 \| 1.70 mts \| panama city row 6 : 6 \| karol guevara \| 22 \| 1.70 mts \| panama city row 7 : 7 \| betzy janette achurr \| 20 \| 1.70 mts \| panama city row 8 : 8 \| marisela moreno montero \| 24 \| 1.73 mts \| panama city row 9 : 9 \| patricia de leon \| 19 \| 1.74 mts \| panama city row 10 : 10 \| marichelle julieta r \| 20 \| 1.74 mts \| panama city row 11 : 11 \| betsy milena batista \| 21 \| 1.75 mts \| panama city row 12 : 12 \| lourdes rodriguez \| 21 \| 1.75 mts \| panama city row 13 : 13 \| janessy jasiell contreras \| 18 \| 1.75 mts \| panama city row 14 : 14 \| gina larissa correa hils \| 20 \| 1.76 mts \| panama city row 15 : 15 \| swany cisney castill \| 23 \| 1.78 mts \| panama city row 16 : 16 \| michelle krisko sugasti \| 20 \| 1.80mts \| panama city ] Execute this SQL based on the above table: select contestant where age = 20	mildred kincaid adames, catherine henderson tudisco, betzy janette achurra castillo, marichelle julieta ruiz leone, gina larissa correa hils, michelle krisko sugasti
[ header: church name \| address \| community \| school row 1 : blessed sacrament \| 6657 w. sunset bl \| los angeles (hollywood) \| k-8 row 2 : st. vibiana \| 923 south la brea ave \| los angeles (mid-city) \| no row 3 : christ the king \| 624 north rossmore ave \| los angeles (hollywood) \| k-8 row 4 : holy spirit \| 1425 s. dunsmu \| los angeles (mid-city) \| None row 5 : our mother of good counsel \| 2060 n. vermont ave \| los angeles (los feliz) \| k-8 row 6 : st. casimir \| 2718 saint george st. \| los angeles (los feliz) \| no row 7 : st. columban \| 125 loma dr.34 \| los angeles (filipinotown \| no row 8 : st. francis of assi \| 1523 golden gate ave.34° \| los angeles (silverlake) \| k-8 row 9 : st. kevin \| 4072 beverly blvd \| los angeles (south h \| no row 10 : st. mary magdalen \| 1241 corning st.34° \| los angeles (south rob \| 1-8 row 11 : st. peter (italian \| 1039 n. broadway34°04 \| los angeles (solano canyon) \| no row 12 : st. teresa of \| 2215 fargo st.34° \| los angeles (silverlake) \| k-8 ] Execute this SQL based on the above table: select community where church name = 'st. vibiana'	los angeles (mid-city)
[ header: season \| club \| country \| competition \| apps. \| goals row 1 : 1997/98 \| rapide club lebbeke \| belgium \| fourth division \| None \| None row 2 : 1998/99 \| ksc eendracht a \| belgium \| jupiler league \| 30 \| 7 row 3 : 1999/00 \| ksc eendracht a \| belgium \| jupiler league \| 31 \| 7 row 4 : 2000/01 \| ksc eendracht a \| belgium \| jupiler league \| 30 \| 6 row 5 : 2001/02 \| omonia nicosia \| cyprus \| cypriot first division \| 22 \| 8 row 6 : 2002/03 \| fc denderleeuw \| belgium \| belgian second division \| 32 \| 23 row 7 : 2003/04 \| 1. fc saarbrucken \| germany \| regionalliga sud \| 33 \| 16 row 8 : 2004/05 \| 1. fc saarbrucken \| germany \| 2. bundesliga \| 14 \| 7 row 9 : 2005/06 \| 1. fc saarbrucken \| germany \| 2. bundesliga \| 10 \| 0 row 10 : 2005/06 \| s.v. zulte \| belgium \| jupiler league \| 14 \| 1 row 11 : 2006/07 \| fcv dender eh \| belgium \| belgian second division \| 33 \| 21 row 12 : 2007/08 \| mvv \| netherlands \| eerste divisie \| 33 \| 22 row 13 : 2008/09 \| mvv \| netherlands \| eerste divisie \| 32 \| 20 row 14 : total \| None \| None \| None \| 302 \| 132 ] Execute this SQL based on the above table: select count ( distinct club )	8
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| algeria \| 8 \| 3 \| 0 \| 11 row 2 : 2 \| tunisia \| 4 \| 3 \| 5 \| 12 row 3 : 3 \| egypt \| 3 \| 3 \| 3 \| 9 row 4 : 4 \| cameroon \| 1 \| 1 \| 5 \| 7 row 5 : 5 \| morocco \| 0 \| 1 \| 5 \| 5 row 6 : 6 \| south africa \| 0 \| 1 \| 1 \| 2 row 7 : 7 \| angola \| 0 \| 1 \| 0 \| 1 row 8 : 7 \| burkina faso \| 0 \| 1 \| 0 \| 1 row 9 : 7 \| gabon \| 0 \| 1 \| 0 \| 1 row 10 : 7 \| madagascar \| 0 \| 1 \| 0 \| 1 row 11 : 11 \| nigeria \| 0 \| 0 \| 3 \| 3 row 12 : 12 \| senegal \| 0 \| 0 \| 2 \| 2 row 13 : 13 \| congo republic \| 0 \| 0 \| 1 \| 1 row 14 : 13 \| ivory coast \| 0 \| 0 \| 1 \| 1 row 15 : 13 \| guinea \| 0 \| 0 \| 1 \| 1 row 16 : 13 \| niger \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select gold where nation = 'senegal'	0
[ header: # \| president \| president's party \| senate with \| senate opposed \| house with \| house opposed \| years served \| elections won row 1 : 1 \| george washington \| federalist-leaning \| 8 \| 0 \| 6 \| 2 \| 8 \| 2 row 2 : 3 \| thomas jefferson \| democratic-republican \| 8 \| 0 \| 8 \| 0 \| 8 \| 2 row 3 : 4 \| james madison \| democratic-republican \| 8 \| 0 \| 8 \| 0 \| 8 \| 2 row 4 : 7 \| andrew jackson \| democratic \| 8 \| 0 \| 8 \| 0 \| 8 \| 2 row 5 : 8 \| martin van buren \| democratic \| 4 \| 0 \| 4 \| 0 \| 4 \| 1 row 6 : 10 \| john tyler \| whig/none \| 4 \| 0 \| 2 \| 2 \| 4 \| 0 row 7 : 13 \| millard fillmore \| whig \| 0 \| 3 \| 0 \| 3 \| 3 \| 0 row 8 : 15 \| james buchanan \| democratic \| 4 \| 0 \| 2 \| 2 \| 4 \| 1 row 9 : 16 \| abraham lincoln \| republican \| 4 \| 0 \| 4 \| 0 \| 4 \| 2 row 10 : 17 \| andrew johnson \| democratic \| 0 \| 4 \| 0 \| 4 \| 4 \| 0 row 11 : 18 \| ulysses grant \| republican \| 8 \| 0 \| 6 \| 2 \| 8 \| 2 row 12 : 20 \| james garfield \| republican \| 0 \| 0.5 \| 0.5 \| 0 \| 0.5 \| 1 row 13 : 21 \| chester arthur \| republican \| 4 \| 0 \| 2 \| 2 \| 4 \| 0 row 14 : 24 \| grover cleveland \| democratic \| 2 \| 2 \| 2 \| 2 \| 4 \| 1 row 15 : 25 \| william mckinley \| republican \| 4 \| 0 \| 4 \| 0 \| 4 \| 2 row 16 : 26 \| theodore roosevel \| republican \| 8 \| 0 \| 8 \| 0 \| 8 \| 1 row 17 : 27 \| william taft \| republican \| 4 \| 0 \| 2 \| 2 \| 4 \| 1 row 18 : 28 \| woodrow wilson \| democratic \| 6 \| 2 \| 6 \| 2 \| 8 \| 2 row 19 : 29 \| warren harding \| republican \| 2 \| 0 \| 2 \| 0 \| 2 \| 1 row 20 : 30 \| calvin coolidge \| republican \| 6 \| 0 \| 6 \| 0 \| 6 \| 1 row 21 : 31 \| herbert hoover \| republican \| 4 \| 0 \| 2 \| 2 \| 4 \| 1 row 22 : 34 \| dwight eisenhower \| republican \| 2 \| 6 \| 2 \| 6 \| 8 \| 2 row 23 : 36 \| lyndon johnson \| democratic \| 5 \| 0 \| 5 \| 0 \| 5 \| 1 row 24 : 38 \| gerald ford \| republican \| 0 \| 2 \| 0 \| 2 \| 2 \| 0 row 25 : 39 \| jimmy carter \| democratic \| 4 \| 0 \| 4 \| 0 \| 4 \| 1 row 26 : 41 \| george h. w. bush \| republican \| 0 \| 4 \| 0 \| 4 \| 4 \| 1 row 27 : 42 \| bill clinton \| democratic \| 2 \| 6 \| 2 \| 6 \| 8 \| 2 row 28 : 43 \| george w. bush \| republican \| 4.5 \| 3.5 \| 6 \| 2 \| 8 \| 2 row 29 : 44 \| barack obama \| democratic \| 6 \| 0 \| 2 \| 4 \| 6 \| 2 ] Execute this SQL based on the above table: select ( select house with where house opposed = 4 ) - ( select house with where house opposed = 0 )	-8.0
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| cuba \| 9 \| 11 \| 12 \| 32 row 2 : 2 \| jamaica \| 7 \| 5 \| 4 \| 16 row 3 : 3 \| colombia \| 4 \| 2 \| 3 \| 9 row 4 : 4 \| puerto rico \| 4 \| 2 \| 1 \| 7 row 5 : 5 \| mexico \| 3 \| 3 \| 4 \| 10 row 6 : 6 \| trinidad and tobago \| 2 \| 5 \| 1 \| 8 row 7 : 7 \| barbados \| 1 \| 1 \| 1 \| 3 row 8 : 8 \| guatemala \| 1 \| 0 \| 0 \| 1 row 9 : 8 \| bahamas \| 1 \| 0 \| 0 \| 1 row 10 : 10 \| venezuela \| 0 \| 2 \| 5 \| 7 row 11 : 11 \| u.s. virgin islands \| 0 \| 1 \| 1 \| 2 ] Execute this SQL based on the above table: select nation where id = ( select id where nation = 'colombia' ) - 1	jamaica
[ header: pos \| no \| rider \| bike \| laps \| time \| grid \| points row 1 : 2 \| 38 \| bradley smith \| aprilia \| 22 \| 4.638 \| 3 \| 20 row 2 : 3 \| 44 \| pol espargaro \| derbi \| 22 \| 4.996 \| 2 \| 16 row 3 : 4 \| 11 \| sandro cortese \| derbi \| 22 \| 45.366 \| 5 \| 13 row 4 : 5 \| 7 \| efren vazquez \| derbi \| 22 \| 45.433 \| 8 \| 11 row 5 : 6 \| 71 \| tomoyoshi koyama \| aprilia \| 22 \| 49.685 \| 6 \| 10 row 6 : 7 \| 35 \| randy krummenacher \| aprilia \| 22 \| 49.735 \| 14 \| 9 row 7 : 8 \| 14 \| johann zarco \| aprilia \| 22 \| 49.743 \| 10 \| 8 row 8 : 9 \| 94 \| jonas folger \| aprilia \| 22 \| 49.775 \| 12 \| 7 row 9 : 10 \| 99 \| danny webb \| aprilia \| 22 \| 53.115 \| 16 \| 6 row 10 : 11 \| 26 \| adrian martin \| aprilia \| 22 \| 58.669 \| 19 \| 5 row 11 : 12 \| 15 \| simone grotzkyj \| aprilia \| 22 \| 58.8 \| 11 \| 4 row 12 : 13 \| 23 \| alberto moncayo \| aprilia \| 22 \| +1:02.050 \| 13 \| 3 row 13 : 14 \| 78 \| marcel schrotter \| honda \| 22 \| +1:15.497 \| 23 \| 2 row 14 : 15 \| 63 \| zulfahmi khai \| aprilia \| 22 \| +1:16.029 \| 18 \| 1 row 15 : 19 \| 58 \| joan perello \| honda \| 22 \| +1:36.223 \| 26 \| None row 16 : 20 \| 60 \| michael van der mark \| lambretta \| 22 \| +1:36.340 \| 27 \| None row 17 : 21 \| 59 \| johnny rosell \| honda \| 22 \| +1:43.804 \| 22 \| None row 18 : 22 \| 72 \| marco ravaioli \| lambretta \| 22 \| +1:55.331 \| 30 \| None row 19 : 23 \| 56 \| peter sebestyen \| aprilia \| 21 \| +1 lap \| 32 \| None row 20 : ret \| 40 \| nicolas terol \| aprilia \| 21 \| accident \| 4 \| None row 21 : ret \| 39 \| luis salom \| aprilia \| 14 \| retirement \| 15 \| None row 22 : ret \| 17 \| eduard lopez \| aprilia \| 11 \| retirement \| 31 \| None row 23 : ret \| 55 \| isaac vinales \| aprilia \| 10 \| accident \| 21 \| None row 24 : ret \| 50 \| sturla fagerhaug \| aprilia \| 7 \| accident \| 17 \| None row 25 : ret \| 12 \| esteve rabat \| aprilia \| 0 \| accident \| 7 \| None row 26 : ret \| 53 \| jasper iwema \| aprilia \| 0 \| accident \| 20 \| None row 27 : dns \| 32 \| lorenzo savadori \| aprilia \| None \| did not start \| 29 \| None ] Execute this SQL based on the above table: select rider where time = '49.743' order by laps limit 22	johann zarco
[ header: species \| common name \| ncbi accession # \| ncbi name \| length \| sequence identity \| sequence similarity \| years since divergence from human (mya) row 1 : pan troglodytes \| chimpanzee \| xp_003317262 \| depdc5 \| 1572 aa \| 99% \| 99% \| 6.4 row 2 : nomascus leucogenys \| gibbon \| xp_003258163 \| depdc5 \| 1602 aa \| 99% \| 99% \| 20.4 row 3 : mus musculus \| mouse \| np_001164038 \| depdc5 \| 1591 aa \| 94% \| 96% \| 92.4 row 4 : bos taurus \| cow \| xp_002694678 \| depdc5 \| 1593 aa \| 94% \| 96% \| 94.4 row 5 : sorex araneus \| shrew \| ace77702 \| depdc5 \| 1570 aa \| 94% \| 96% \| 94.4 row 6 : monodelphis domestica \| possum \| xp_001378772 \| depdc5 \| 1522 aa \| 89% \| 93% \| 163.9 row 7 : gallus gallus \| chicken \| xp_415249 \| depdc5 \| 1592 aa \| 88% \| 93% \| 301.7 row 8 : meleagris gallopavo \| turkey \| xp_003211073 \| depdc5 \| 1592 aa \| 88% \| 93% \| 301.7 row 9 : taeniopygi \| zebra finch \| xp_002199825 \| depdc5 \| 1572 aa \| 87% \| 92% \| 301.7 row 10 : xenopus tropicalis \| frog \| xp_002931964 \| depdc5-like \| 1574 aa \| 79% \| 86% \| 371.2 row 11 : danio rerio \| zebra fish \| xp_691450 \| depdc5-like \| 1590 aa \| 75% \| 84% \| 400.1 row 12 : oreochromis niloticus \| cichlid \| xp_003459226 \| depdc5 \| 1577 aa \| 74% \| 82% \| 400.1 row 13 : strongylocentrotus purpuratus \| sea urchin \| xp_794020 \| similar to depdc5 \| 1608 aa \| 43% \| 57% \| 742.9 row 14 : drosophila melanogaster \| drosophila \| np_647618 \| gc12090 \| 1471 aa \| 41% \| 57% \| 782.7 row 15 : pediculus humanus corporis \| louse \| xp_002429401 \| depdc, putative \| 1538 aa \| 38% \| 53% \| 782.7 row 16 : anopheles gambiae \| mosquito \| xp_308760 \| agap007010-pa \| 1640 aa \| 36% \| 51% \| 782.7 row 17 : ascaris suum \| ascaris \| ady40551 \| depdcp5 \| 1359 aa \| 31% \| 51% \| 937.5 row 18 : ustilago maydis \| corn smut \| xp_757759 \| vacuolar-associated protein iml1 \| 1867 aa \| 23% \| 52% \| 1215.8 row 19 : saccharomyces cerevisiae \| yeast \| np_012672 \| iml1p \| 1584 aa \| 20% \| 50% \| 1215.8 row 20 : albugo laibachii \| white rust \| cca27519 \| vacuolar membrane-associated protein putative \| 1591 aa \| 20% \| 46% \| 1362 ] Execute this SQL based on the above table: select years since divergence from human (mya) where sequence similarity = '96%'	92.4, 94.4, 94.4
[ header: month \| song \| artist \| aggregate points \| total downloads \| year-end chart row 1 : january \| "lovey-dovey" \| t-ara \| 142,691,767 \| 1,903,727 \| 7 row 2 : february \| "blue" \| big bang \| 102,380,663 \| 1,351,429 \| 10 row 3 : march \| "fantastic baby" \| big bang \| 105,296,671 \| 1,229,518 \| 5 row 4 : april \| "cherry blossom ending" \| busker busker \| 169,546,447 \| 1,570,146 \| 2 row 5 : may \| "twinkle" \| girls' generation-tts \| 119,415,981 \| 997,122 \| 11 row 6 : june \| "like this" \| wonder girls \| 138,592,996 \| 1,444,339 \| 18 row 7 : july \| "i love you" \| 2ne1 \| 151,627,608 \| 1,522,263 \| 6 row 8 : august \| "gangnam style" \| psy \| 150,855,485 \| 1,280,050 \| 1 row 9 : september \| "all for you" \| jung eunji & seo \| 113,858,049 \| 1,037,911 \| 8 row 10 : october \| "bloom" \| gain \| 115,479,048 \| 1,182,829 \| 42 row 11 : november \| "1, 2, 3, 4" \| lee hi \| 132,391,547 \| 1,210,297 \| 23 row 12 : december \| "return" \| lee seung gi \| 110,364,099 \| 896,196 \| 37 ] Execute this SQL based on the above table: select ( select song where song = '"cherry blossom ending"' ) = ( select song where song = '"twinkle"' )	0
[ header: month \| jan \| feb \| mar \| apr \| may \| jun \| jul \| aug \| sep \| oct \| nov \| dec \| year row 1 : record high °c (°f) \| 10.8 (51.4) \| 10.7 (51.3) \| 25.7 (78.3) \| 29.2 (84.6) \| 35.4 (95.7) \| 38.3 (100.9) \| 36.7 (98.1) \| 40.0 (104) \| 35.1 (95.2) \| 27.8 (82) \| 21.0 (69.8) \| 12.9 (55.2) \| 40.0 (104) row 2 : average high °c (°f) \| -8.5 (16.7) \| -6.2 (20.8) \| 1.6 (34.9) \| 11.6 (52.9) \| 18.1 (64.6) \| 22.1 (71.8) \| 25.2 (77.4) \| 24.6 (76.3) \| 18.6 (65.5) \| 10.8 (51.4) \| -0.2 (31.6) \| -6.6 (20.1) \| 9.3 (48.7) row 3 : daily mean °c (°f) \| -14.5 (5.9) \| -11.6 (11.1) \| -4.1 (24.6) \| 4.8 (40.6) \| 11.0 (51.8) \| 15.5 (59.9) \| 18.1 (64.6) \| 17.3 (63.1) \| 11.6 (52.9) \| 4.1 (39.4) \| -5.2 (22.6) \| -11.9 (10.6) \| 4.9 (40.8) row 4 : average low °c (°f) \| -19.0 (-2.2) \| -16.9 (1.6) \| -9.4 (15.1) \| -2.1 (28.2) \| 3.8 (38.8) \| 8.8 (47.8) \| 11.0 (51.8) \| 10.0 (50) \| 4.4 (39.9) \| -2.5 (27.5) \| -10.4 (13.3) \| -17.1 (1.2) \| -3.3 (26.1) row 5 : record low °c (°f) \| -40.4 (-40.7) \| -43.4 (-46.1) \| -34.7 (-30.5) \| -17.4 (0.7) \| -11.4 (11.5) \| -2.3 (27.9) \| 3.4 (38.1) \| -0.0 (32) \| -10.7 (12.7) \| -26.3 (-15.3) \| -36.1 (-33) \| -40.4 (-40.7) \| -43.4 (-46.1) row 6 : precipitation mm (inches) \| 10.9 (0.429) \| 6.7 (0.264) \| 11.7 (0.461) \| 23.5 (0.925) \| 40.3 (1.587) \| 67.0 (2.638) \| 58.4 (2.299) \| 43.8 (1.724) \| 28.8 (1.134) \| 13.2 (0.52) \| 10.6 (0.417) \| 12.7 (0.5) \| 327.6 (12.898) row 7 : rainfall mm (inches) \| 0.3 (0.012) \| 0.3 (0.012) \| 1.7 (0.067) \| 15.6 (0.614) \| 38.3 (1.508) \| 67.0 (2.638) \| 58.7 (2.311) \| 43.8 (1.724) \| 28.5 (1.122) \| 8.3 (0.327) \| 1.9 (0.075) \| 0.2 (0.008) \| 264.6 (10.417) ] Execute this SQL based on the above table: select count ( month ) where jul > 1566	7
[ header: date \| opponent \| venue \| result \| attendance \| scorers row 1 : 15 august 1987 \| derby county \| away \| 0-1 \| 17204 \| None row 2 : 18 august 1987 \| coventry city \| home \| 0-1 \| 9380 \| None row 3 : 22 august 1987 \| west ham united \| home \| 2-2 \| 8073 \| harford (2) row 4 : 29 august 1987 \| chelsea \| away \| 0-3 \| 16075 \| None row 5 : 31 august 1987 \| arsenal \| home \| 1-1 \| 8745 \| wilson (pen) row 6 : 5 september 1987 \| oxford united \| away \| 5-2 \| 6804 \| breacker, harford, hill row 7 : 12 september 1987 \| everton \| home \| 2-1 \| 8124 \| hill, b. stein row 8 : 19 september 1987 \| charlton athletic \| away \| 0-1 \| 5002 \| None row 9 : 26 september 1987 \| queens park rangers \| away \| 0-2 \| 11175 \| None row 10 : 3 october 1987 \| manchester united \| home \| 1-1 \| 9137 \| harford row 11 : 10 october 1987 \| portsmouth \| away \| 1-3 \| 12391 \| harford (pen) row 12 : 17 october 1987 \| wimbledon \| home \| 2-0 \| 7018 \| b. stein, wilson row 13 : 24 october 1987 \| liverpool \| home \| 0-1 \| 11997 \| None row 14 : 7 november 1987 \| newcastle united \| home \| 4-0 \| 7638 \| nwajiobi, b. row 15 : 5 december 1987 \| norwich city \| home \| 1-2 \| 7002 \| b. stein row 16 : 12 december 1987 \| watford \| away \| 1-0 \| 12152 \| foster row 17 : 26 december 1987 \| everton \| away \| 0-2 \| 32128 \| None row 18 : 28 december 1987 \| charlton athletic \| home \| 1-0 \| 7243 \| wilson row 19 : 1 january 1988 \| chelsea \| home \| 3-0 \| 8018 \| harford, b. stein, row 20 : 2 january 1988 \| west ham united \| away \| 1-1 \| 16716 \| m. stein row 21 : 6 february 1988 \| oxford united \| home \| 7-4 \| 8063 \| harford (2), mcdonough row 22 : 13 february 1988 \| arsenal \| away \| 1-2 \| 22612 \| m.stein row 23 : 5 march 1988 \| wimbledon \| away \| 0-2 \| 4854 \| None row 24 : 15 march 1988 \| coventry city \| away \| 0-4 \| 13711 \| None row 25 : 29 march 1988 \| portsmouth \| home \| 4-1 \| 6740 \| b.stein, m.stein, row 26 : 2 april 1988 \| newcastle united \| away \| 0-4 \| 20752 \| None row 27 : 5 april 1988 \| sheffield wednesday \| home \| 2-2 \| 7337 \| mcdonough, b. row 28 : 12 april 1988 \| manchester united \| away \| 0-3 \| 28830 \| None row 29 : 19 april 1988 \| queens park rangers \| home \| 2-1 \| 6735 \| foster, wilson (pen) row 30 : 30 april 1988 \| norwich city \| away \| 2-2 \| 13171 \| m. stein, wilson row 31 : 4 may 1988 \| tottenham hotspur \| away \| 1-2 \| 15437 \| grimes row 32 : 9 may 1988 \| liverpool \| away \| 1-1 \| 30374 \| oldfield ] Execute this SQL based on the above table: select attendance where attendance = 17204	17204.0
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1990 \| pan american race walking cup \| xalapa, mexico \| 25th \| 20 km \| 1:48:49 row 2 : 1993 \| central american and caribbean games \| ponce, puerto rico \| 3rd \| 20 km \| 1:29:43 row 3 : 1994 \| central american games \| san salvador, el \| 1st \| 20 km \| 1:27:45 row 4 : 1995 \| pan american games \| mar del plata, argentina \| 3rd \| 20 km \| 1:23:50 row 5 : 1995 \| central american and caribbean championships \| ciudad de guatemala, \| 2nd \| 20 km \| 1:25:10 a row 6 : 1996 \| olympic games \| atlanta, georgia \| dsq \| 20 km \| None row 7 : 1997 \| world race walking cup \| podebrady, czech \| 5th \| 20 km \| 1:18:51 row 8 : 1997 \| central american and caribbean championships \| san juan, puerto \| 1st \| 20 km \| 1:26:24.40 cr row 9 : 1997 \| world championships \| athens, greece \| dsq \| 20 km \| None row 10 : 1997 \| central american games \| san pedro sul \| 1st \| 20 km \| 1:35:45 row 11 : 1998 \| ibero-american championships \| lisbon, portugal \| 2nd \| 20 km \| 1:26:25 row 12 : 1998 \| central american and caribbean games \| maracaibo, venezu \| 3rd \| 20 km \| 1:25:31 row 13 : 1999 \| world championships \| seville, spain \| dsq \| 20 km \| None row 14 : 2000 \| olympic games \| sydney, australia \| 43rd \| 20 km \| 1:31:47 row 15 : 2001 \| central american and caribbean championships \| guatemala city, guate \| 3rd \| 20 km \| 1:29:47 a row 16 : 2003 \| central american and caribbean championships \| st. george's, \| 1st \| 18,000 m \| 1:22:07 row 17 : 2003 \| pan american games \| santo domingo, dominican \| dsq \| 20 km \| None row 18 : 2003 \| pan american games \| santo domingo, dominican \| dnf \| 50 km \| None row 19 : 2003 \| world championships \| paris, france \| dsq \| 20 km \| None row 20 : 2004 \| world race walking cup \| naumburg, germany \| 15th \| 50 km \| 3:56:19 row 21 : 2004 \| olympic games \| athens, greece \| dsq \| 50 km \| None row 22 : 2004 \| central american championships \| managua, nicaragua \| 3rd \| 20 km \| 1:33:20.46 row 23 : 2005 \| central american and caribbean championships \| nassau, bahamas \| 1st \| 20,000 m \| 1:30:38.07 row 24 : 2005 \| world championships \| helsinki, finland \| 12th \| 50 km \| 3:57:56 row 25 : 2006 \| ibero-american championships \| ponce, puerto rico \| None \| 20,000 m \| dq row 26 : 2006 \| central american and caribbean games \| cartagena, colombia \| 5th \| 20 km \| 1:33:00 row 27 : 2007 \| central american championships \| san jose, costa ric \| 3rd \| 20 km \| 1:27:30.42 ] Execute this SQL based on the above table: select max ( year )	2007
[ header: coach \| years \| seasons \| wins \| losses \| ties \| pct row 1 : o. b. "rip" \| 1908 \| 1 \| 5 \| 1 \| 0 \| 0.833 row 2 : ed sabre \| 1920 \| 1 \| 3 \| 1 \| 0 \| 0.75 row 3 : mack erwin \| 1957-60 \| 4 \| 62 \| 30 \| 1 \| 0.672 row 4 : chal port \| 1965-91 \| 27 \| 641 \| 386 \| 2 \| 0.624 row 5 : fred jordan \| 1992-pres \| 22 \| 726 \| 552 \| 0 \| 0.568 row 6 : john d. mcmillan \| 1952-53 \| 2 \| 14 \| 15 \| 0 \| 0.483 row 7 : jim newsome \| 1961-64 \| 4 \| 37 \| 43 \| 0 \| 0.463 row 8 : bunzy o'neal \| 1948 \| 1 \| 6 \| 7 \| 0 \| 0.462 row 9 : george c. rogers \| 1914-15, 1921-24 \| 6 \| 26 \| 33 \| 1 \| 0.441 row 10 : fred montsdeoca \| 1954-56 \| 2 \| 22 \| 31 \| 0 \| 0.415 row 11 : george a. schmick \| 1910 \| 1 \| 4 \| 6 \| 0 \| 0.4 row 12 : thomas s. mc \| 1916, 1919 \| 2 \| 8 \| 12 \| 0 \| 0.4 row 13 : harold manley \| 1954 \| 1 \| 5 \| 9 \| 0 \| 0.357 row 14 : "barney" legge \| 1911 \| 1 \| 2 \| 5 \| 1 \| 0.286 row 15 : h. l. "matty" \| 1926-30, 37-38 \| 3 \| 10 \| 25 \| 1 \| 0.286 row 16 : dusty rhodes \| 1947 \| 1 \| 2 \| 5 \| 0 \| 0.286 row 17 : "shorty" o'brien \| 1918 \| 1 \| 3 \| 9 \| 0 \| 0.25 row 18 : "bull dog" drummond \| 1925 \| 1 \| 2 \| 7 \| 0 \| 0.222 ] Execute this SQL based on the above table: select coach where id = ( select id where coach = 'thomas s. mcmillan' ) - 1	george a. schmick
[ header: issue \| volume \| title \| main feature story \| first/early appearance story/stories \| release date row 1 : 1 \| 24 \| the avengers \| ultron unlimited (avengers vol \| the coming of the avengers ( \| 27 dec 2013 row 2 : 2 \| 12 \| spider-man \| happy birthday (amazing spider-man vol \| spider-man (amazing fantasy #15) \| 15 jan 2014 row 3 : 3 \| 55 \| wolverine \| get mystique (wolverine \| and now... the wolverine (in \| 29 jan 2014 row 4 : 4 \| 29 \| hawkeye \| hawkeye (hawkeye vol.1 #1 \| hawkeye, the marskman (tale \| 12 feb 2014 row 5 : 5 \| 10 \| the hulk \| dogs of war (the incredible hulk \| none \| 26 feb 2014 row 6 : 6 \| 22 \| jean grey \| here comes yesterday (all-new x- \| x-men origins: jean grey \| 12 mar 2014 row 7 : 7 \| 49 \| power man \| power man and iron fist #50- \| luke cage #1-3 \| 26 mar 2014 row 8 : 8 \| tbc \| captain america \| captain america #247-255 \| None \| 9 apr 2014 row 9 : 9 \| tbc \| iron man \| the five nightmares (iron man (vol. \| tales of suspense #39 \| 23 apr 2014 row 10 : 10 \| tbc \| the x-men \| x-men: children of the atom \| x-men (vol. 1) #1 \| 7 may 2014 row 11 : 11 \| tbc \| black widow \| tbc \| tbc \| 21 may 2014 row 12 : 12 \| tbc \| the human torch (jim hammond) \| tbc \| tbc \| 4 june 2014 row 13 : 13 \| tbc \| warriors three \| tbc \| tbc \| 18 june 2014 row 14 : 14 \| tbc \| cyclops \| tbc \| tbc \| 2 july 2014 row 15 : 15 \| tbc \| captain marvel \| tbc \| tbc \| 16 july 2014 ] Execute this SQL based on the above table: select title where first/early appearance story/stories = 'luke cage #1-3'	power man
[ header: no. \| date \| location \| surface \| opponent in final \| score row 1 : 1 \| 28 august 2000 \| spoleto, italy $10,000 \| clay \| maret ani \| 6-2 7-6(7) row 2 : 2 \| 9 april 2001 \| san luis potosi, \| clay \| martina muller \| 6-4 7-5 row 3 : 3 \| 16 april 2001 \| coatzacoalcos, mexico \| hard \| gabriela volekova \| 6-1 6-3 row 4 : 4 \| 15 october 2002 \| sedona, usa $25,000 \| hard \| brie rippner \| 6-3 4-6 6-3 row 5 : 5 \| 5 november 2002 \| pittsburgh, usa $50,000 \| hard \| maria sharapova \| 7-6(4) 6-2 row 6 : 6 \| 14 april 2003 \| san luis potosi, \| clay \| maria vanina garcia sokol \| 6-0 6-4 row 7 : 7 \| 27 april 2009 \| cagnes-sur-mer, france \| clay \| zuzana ondraskova \| 6-1 6-2 row 8 : 8 \| 1 june 2009 \| nottingham, england $50,000 \| grass \| stefanie vogele \| 6-2 4-6 6-1 ] Execute this SQL based on the above table: select opponent in final group by opponent in final order by count ( surface ) desc limit 1	zuzana ondraskova
[ header: year \| winner \| jockey \| trainer \| owner \| breeder row 1 : 1919 \| sir barton \| johnny loftus \| h. guy bedwell \| j. k. l. \| None row 2 : 1930 \| gallant fox \| earl sande \| jim fitzsimmons \| belair stud \| belair stud row 3 : 1935 \| omaha \| willie saunders \| jim fitzsimmons \| belair stud \| belair stud row 4 : 1937 \| war admiral \| charley kurtsinger \| george h. conway \| samuel d. rid \| samuel d. rid row 5 : 1941 \| whirlaway \| eddie arcaro \| ben a. jones \| calumet farm \| calumet farm row 6 : 1943 \| count fleet \| johnny longden \| don cameron \| fannie hertz \| fannie hertz row 7 : 1946 \| assault \| warren mehrtens \| max hirsch \| king ranch \| king ranch row 8 : 1948 \| citation \| eddie arcaro \| horace a. jones \| calumet farm \| calumet farm row 9 : 1973 \| secretariat \| ron turcotte \| lucien laurin \| meadow stable \| meadow stud row 10 : 1977 \| seattle slew \| jean cruguet \| william h. turner, \| karen l. tay \| ben s. castleman row 11 : 1978 \| affirmed \| steve cauthen \| laz barrera \| harbor view farm \| harbor view farm ] Execute this SQL based on the above table: select count ( * ) where breeder = 'None'	0
[ 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 count ( distinct years won ) where winners = 4	4
[ header: rank \| circuit \| headquarters \| screens \| sites row 1 : 1 \| regal entertainment group \| knoxville,tn \| 7318 \| 574 row 2 : 2 \| amc entertainment inc \| kansas city, mo \| 4988 \| 344 row 3 : 3 \| cinemark theatres \| plano, tx \| 4434 \| 332 row 4 : 4 \| carmike cinemas, inc \| columbus, ga \| 2476 \| 249 row 5 : 5 \| cineplex entertainment \| toronto, on \| 1672 \| 136 row 6 : 6 \| marcus theatres \| milwaukee, wi \| 687 \| 55 row 7 : 7 \| harkins theatres \| phoenix, az \| 440 \| 31 row 8 : 8 \| national amusements \| dedham, ma \| 423 \| 32 row 9 : 9 \| bow tie cinemas \| ridgefield, ct \| 388 \| 63 row 10 : 10 \| georgia theatre company \| st. simon's island, \| 326 \| 32 ] Execute this SQL based on the above table: select max ( sites ) where sites > 0	574.0
[ header: year \| track \| number \| team \| car \| round result row 1 : 1996 \| pukekohe park raceway \| 1 \| holden racing team \| holden vr commodore \| 1st row 2 : 2001 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vx commodore \| 1st row 3 : 2002 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vx commodore \| 1st row 4 : 2003 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vy commodore \| 1st row 5 : 2004 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vy commodore \| 3rd row 6 : 2005 \| pukekohe park raceway \| 51 \| paul weel racing \| holden vz commodore \| 1st row 7 : 2006 \| pukekohe park raceway \| 51 \| paul weel racing \| holden vz commodore \| 15th row 8 : 2007 \| pukekohe park raceway \| 51 \| tasman motorsport \| holden ve commodore \| 11th row 9 : 2008 \| hamilton street circuit \| 51 \| tasman motorsport \| holden ve commodore \| 25th row 10 : 2009 \| hamilton street circuit \| 51 \| tasman motorsport \| holden ve commodore \| 22nd row 11 : 2010 \| hamilton street circuit \| 51 \| paul morris motorsport \| holden ve commodore \| 14th row 12 : 2011 \| hamilton street circuit \| 11 \| pepsi max crew \| holden ve commodore \| 24th row 13 : 2012 \| hamilton street circuit \| 51 \| pepsi max crew \| holden ve commodore \| 24th ] Execute this SQL based on the above table: select round result where id = ( select id where round result = '24th' ) - 1	14th
[ header: jurisdiction \| adherents \| bishops \| priests \| monastics \| monasteries \| parishes row 1 : constantinople (details) \| 5200000 \| 125 \| None \| 1800 \| 142 \| 648 row 2 : alexandria (details \| 1200000 \| 41 \| None \| None \| None \| None row 3 : antioch (details) \| 2000000 \| 36 \| None \| None \| None \| None row 4 : jerusalem (details) \| 700000 \| 20 \| None \| None \| None \| None row 5 : russia (details) \| 150000000 \| 217 \| 30675 \| None \| 807 \| 30142 row 6 : georgia (details) \| 3500000 \| 37 \| 437 \| None \| None \| 600 row 7 : bulgaria (details) \| 10000000 \| 15 \| 1500 \| None \| 120 \| 2600 row 8 : serbia (details) \| 11000000 \| 44 \| None \| None \| 49 \| 3100 row 9 : romania (details) \| 17000000 \| 53 \| 15068 \| 7605 \| 359 \| 15717 row 10 : cyprus (details) \| 700000 \| 16 \| None \| None \| 67 \| None row 11 : greece (details) \| 6000000 \| 101 \| 10000 \| 3541 \| 541 \| None row 12 : albania (details) \| 700000 \| 6 \| 135 \| None \| 150 \| 909 row 13 : poland (details) \| 600000 \| 12 \| None \| None \| None \| 400 row 14 : czech lands & s \| 100000 \| 6 \| None \| None \| None \| 172 row 15 : orthodox church in america (details \| 85000 \| 10 \| None \| None \| 20 \| 700 row 16 : total \| 208785000 \| 729 \| 54382 \| 12946 \| 2236 \| 54239 ] Execute this SQL based on the above table: select jurisdiction group by jurisdiction order by count ( * ) desc limit 1	total
[ header: # \| name \| birth and death \| office started \| office ended row 1 : 1 \| geir vidalin \| 27 october 1761 - \| 1801 \| 1823 row 2 : 2 \| steingrimur jonsson \| None \| 1824 \| 1845 row 3 : 3 \| helgi thordersen \| 8 april 1794 - 4 \| 1846 \| 1866 row 4 : 4 \| 'petur petursson \| 3 october 1808 - \| 1866 \| 1889 row 5 : 5 \| hallgrimur sveinsson \| 5 april 1841 - 16 \| 1889 \| 1908 row 6 : 6 \| þorhallur bjarnar \| 2 december 1855 - 15 de \| 1908 \| 1916 row 7 : 7 \| jon helgason \| 1866 - 1942 \| 1917 \| 1939 row 8 : 8 \| sigurgeir sigurðsson \| 3 august 1890 - 13 oc \| 1939 \| 1953 row 9 : 9 \| asmundur guðmunds \| 6 october 1888 re \| 1954 \| 1989 row 10 : 10 \| sigurbjorn einarsson \| 30 june 1911 vestur-skaf \| 1959 \| 1981 row 11 : 11 \| petur sigurgeirsson (son \| 2 june 1919 - 3 jun \| 1981 \| 1989 row 12 : 12 \| olafur skulason \| 29 december 1929 - 9 jun \| 1989 \| 1997 row 13 : 13 \| karl sigurbjornsson ( \| 5 february 1947 reykja \| 1998 \| 2012 row 14 : 14 \| agnes sigurðardottir \| 19 october 1954 isaf \| 24 june 2012 \| incumbent ] Execute this SQL based on the above table: select office ended order by # desc limit 1	incumbent
[ header: occasion # \| location \| date \| gold \| time \| silver \| time \| bronze \| time \| report row 1 : 1 \| chelyabinsk, russia \| 18 november \| pekka koskela finland \| 35 \| jan smeekens nether \| 35.01 \| yuya oikawa \| 35.07 \| row 2 : 1 \| chelyabinsk, russia \| 19 november \| joji kato japan \| 34.92 \| mo tae-bum south \| 35.01 \| yuya oikawa \| 35.14 \| row 3 : 2 \| astana, kazakhstan \| 25 november \| mo tae-bum south \| 34.89 \| tucker fredricks united \| 34.94 \| stefan groothuis nether \| 35.01 \| row 4 : 2 \| astana, kazakhstan \| 26 november \| jan smeekens nether \| 35.05 \| mo tae-bum south \| 35.06 \| tucker fredricks united \| 35.19 \| row 5 : 3 \| heerenveen, netherlands \| 2 december \| tucker fredricks united \| 34.98 \| joji kato japan \| 35.07 \| mo tae-bum south \| 35.08 \| row 6 : 3 \| heerenveen, netherlands \| 3 december \| pekka koskela finland \| 35.01 \| joji kato japan \| 35.02 \| jesper hospes netherlands \| 35.06 \| row 7 : 4 \| salt lake city, united states \| 21 january \| keiichiro nagashim \| 34.37 \| jan smeekens nether \| 34.4 \| tucker fredricks united \| 34.45 \| row 8 : 4 \| salt lake city, united states \| 22 january \| dmitry lobkov russia \| 34.54 \| keiichiro nagashim \| 34.57 \| tucker fredricks united \| 34.6 \| row 9 : 6 \| heerenveen, netherlands \| 2 march \| dmitry lobkov russia \| 35.11 \| hein otterspeer net \| 35.14 \| keiichiro nagashim \| 35.2 \| row 10 : 6 \| heerenveen, netherlands \| 3 march \| tucker fredricks united \| 35.05 \| michel mulder netherlands \| 35.12 \| joji kato japan \| 35.16 \| row 11 : 7 \| berlin, germany \| 9 march \| jamie gregg canada \| 35.06 \| pekka koskela finland \| 35.07 \| mo tae-bum south \| 35.17 \| row 12 : 7 \| berlin, germany \| 10 march \| michel mulder netherlands \| 35.01 \| mo tae-bum south \| 35.04 \| jan smeekens nether \| 35.08 \| ] Execute this SQL based on the above table: select abs ( ( select time where date = '22 january' ) - ( select time where date = '22 january' ) )	0.0
[ header: state \| title \| name \| entered office row 1 : barbados \| speaker of the house of assembly \| sir theodore brancker \| 1961 row 2 : bolivia \| president of the senate \| None \| 1970 row 3 : bolivia \| president of the chamber of deputies \| None \| 1970 row 4 : brazil \| president of the chamber of deputies \| geraldo freire da sil \| 1970 row 5 : canada \| speaker of the senate \| hon. jean-paul de \| september 5, 1968 row 6 : chile \| president of the senate \| tomas pablo elorza \| 1969 row 7 : chile \| president of the chamber of deputies \| fernando humberto andre \| july 20, 1970 row 8 : colombia \| president of the chamber of representatives \| None \| None row 9 : dominican republic \| president of assembly \| pedro valdez ? \| 1966 ? row 10 : ecuador \| president of the senate \| None \| None row 11 : ecuador \| president of the chamber of deputies \| None \| None row 12 : el salvador \| president of the legislative assembly \| dr. benjamin iter \| 1970 ? row 13 : guatemala \| president of the congress \| mario sandoval alarcon \| 1970 row 14 : guyana \| speaker of the legislative assembly \| hon. rahman bacchus \| 1968 row 15 : haiti \| president of the national assembly \| ulrick st. louis \| None row 16 : jamaica \| president of the senate \| g. s. ranglin \| december 7, 1962 row 17 : jamaica \| speaker of the house of representatives \| eugene parkinson \| 1967 row 18 : mexico \| president of the senate \| lic. manuel aguirre[ \| 1967 ? row 19 : mexico \| president of the federal chamber of deputies \| lic. luis farias \| 1967 ? row 20 : nicaragua \| president of the senate \| dr. adrian cua \| None row 21 : nicaragua \| president of the chamber of deputies \| dr. orlando monten \| None row 22 : trinidad and tobago \| president of the senate \| j. hamilton maurice \| december 29, 1961 row 23 : trinidad and tobago \| speaker of the house of representatives \| a. c. thomas \| december 29, 1961 row 24 : usa \| president of the senate (the vice \| spiro agnew \| january 20, 1969 row 25 : usa \| speaker of the house of representatives \| john william mccormack \| january 10, 1962 row 26 : puerto rico \| president of the senate \| rafael hernand \| 1969 row 27 : uruguay \| president of the senate (the vice \| dr. alberto abdal \| december 6, 1967 row 28 : uruguay \| president of the chamber of deputies \| fernando elichirigo \| march 1, 1970 row 29 : venezuela \| president of the senate \| dr. jose a. per \| 1968 ? row 30 : venezuela \| president of the chamber of deputies \| prof. jorge dargen ? \| 1968 ? ] Execute this SQL based on the above table: select count ( * ) where title = 'president of the senate'	9
[ header: ethnicity \| 1926 census \| 1939 census \| 1959 census \| 1970 census \| 1979 census \| 1989 census \| 2007 estimate row 1 : ossetians \| 60,351 (69.1%) \| 72,266 (68.1%) \| 63,698 (65.8%) \| 66,073 (66.5%) \| 65,077 (66.4%) \| 65,200 (65.9%) \| 47,000 (67.1%) row 2 : georgians \| 23,538 (26.9%) \| 27,525 (25.9%) \| 26,584 (27.5%) \| 28,125 (28.3%) \| 28,187 (28.8%) \| 28,700 (29.0%) \| 17,500 (25.0%) row 3 : russians \| 157 (0.2%) \| 2,111 (2.0%) \| 2,380 (2.5%) \| 1,574 (1.6%) \| 2,046 (2.1%) \| 2,128 (2.1%) \| 2,100 (3.0%) row 4 : armenians \| 1,374 (1.6%) \| 1,537 (1.4%) \| 1,555 (1.6%) \| 1,254 (1.3%) \| 953 (1.0%) \| 871 (0.9%) \| 900 (1.3%) row 5 : jews \| 1,739 (2.0%) \| 1,979 (1.9%) \| 1,723 (1.8%) \| 1,485 (1.5%) \| 654 (0.7%) \| 648 (0.7%) \| 650 (0.9%) row 6 : others \| 216 (0.2%) \| 700 (0.7%) \| 867 (0.9%) \| 910 (0.9%) \| 1,071 (1.1%) \| 1,453 (1.5%) \| 1,850 (2.6%) row 7 : total \| 87375 \| 106118 \| 96807 \| 99421 \| 97988 \| 99000 \| 70000 ] Execute this SQL based on the above table: select 1989 census where ethnicity = 'russians'	2,128 (2.1%)
[ header: name \| status \| population \| district \| former local authority row 1 : cronton \| civil parish \| 1379 \| knowsley \| whiston rural district row 2 : halewood \| town \| 20309 \| knowsley \| whiston rural district row 3 : huyton with roby \| unparished area \| 49859 \| knowsley \| huyton with roby urban district row 4 : kirkby \| unparished area \| 40374 \| knowsley \| kirkby urban district row 5 : knowsley \| civil parish \| 11343 \| knowsley \| whiston rural district row 6 : prescot \| town \| 11184 \| knowsley \| prescot urban district row 7 : tarbock \| civil parish \| 2382 \| knowsley \| whiston rural district row 8 : whiston \| town \| 13629 \| knowsley \| whiston rural district row 9 : liverpool \| unparished area \| 439473 \| liverpool \| liverpool county borough row 10 : aintree village \| civil parish \| 7126 \| sefton \| west lancashire rural district row 11 : crosby \| unparished area \| 45872 \| sefton \| crosby municipal borough row 12 : formby \| civil parish \| 23586 \| sefton \| formby urban district row 13 : hightown \| civil parish \| 2247 \| sefton \| crosby municipal borough row 14 : ince blundell \| civil parish \| 518 \| sefton \| west lancashire rural district row 15 : little altcar \| civil parish \| 892 \| sefton \| west lancashire rural district row 16 : lydiate \| civil parish \| 6672 \| sefton \| west lancashire rural district row 17 : maghull \| town \| 22225 \| sefton \| west lancashire rural district row 18 : melling \| civil parish \| 2810 \| sefton \| west lancashire rural district row 19 : sefton \| civil parish \| 772 \| sefton \| west lancashire rural district row 20 : southport \| unparished area \| 90336 \| sefton \| southport county borough row 21 : thornton \| civil parish \| 2262 \| sefton \| west lancashire rural district row 22 : billinge chapel end \| civil parish \| 6554 \| st helens \| billinge and winstanley urban district row 23 : eccleston \| civil parish \| 10528 \| st helens \| whiston rural district row 24 : haydock \| unparished area \| 15684 \| st helens \| haydock urban district row 25 : newton le willows \| unparished area \| 21418 \| st helens \| newton le willows urban district row 26 : rainford \| civil parish \| 8344 \| st helens \| rainford urban district row 27 : rainhill \| civil parish \| 11913 \| st helens \| whiston rural district row 28 : seneley green \| civil parish \| 6163 \| st helens \| ashton in makerfield urban district row 29 : st helens \| unparished area \| 91414 \| st helens \| st helens county row 30 : windle \| civil parish \| 2542 \| st helens \| whiston rural district row 31 : bebington \| unparished area \| 58226 \| wirral \| bebington municipal borough row 32 : birkenhead \| unparished area \| 103206 \| wirral \| birkenhead county borough row 33 : heswall \| unparished area \| 29977 \| wirral \| wirral urban district row 34 : hoylake \| unparished area \| 35655 \| wirral \| hoylake urban district row 35 : wallasey \| unparished area \| 84348 \| wirral \| wallasey county borough ] Execute this SQL based on the above table: select former local authority where former local authority != 'billinge and winstanley urban district' and district = 'sefton' and population = 2247	crosby municipal borough
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| united states (usa) \| 5 \| 0 \| 0 \| 5 row 2 : 2 \| italy (ita) \| 1 \| 1 \| 1 \| 3 row 3 : 3 \| poland (pol) \| 1 \| 1 \| 0 \| 2 row 4 : 4 \| finland (fin) \| 1 \| 0 \| 4 \| 5 row 5 : 5 \| czechoslovakia (t \| 1 \| 0 \| 0 \| 1 row 6 : 5 \| hungary (hun) \| 1 \| 0 \| 0 \| 1 row 7 : 7 \| soviet union (urs) \| 0 \| 2 \| 4 \| 6 row 8 : 8 \| south africa (rsa) \| 0 \| 1 \| 3 \| 4 row 9 : 9 \| argentina (arg) \| 0 \| 1 \| 1 \| 2 row 10 : 9 \| germany (ger) \| 0 \| 1 \| 1 \| 2 row 11 : 9 \| romania (rou) \| 0 \| 1 \| 1 \| 2 row 12 : 9 \| sweden (swe) \| 0 \| 1 \| 1 \| 2 row 13 : 13 \| ireland (irl) \| 0 \| 1 \| 0 \| 1 row 14 : 14 \| bulgaria (bul) \| 0 \| 0 \| 1 \| 1 row 15 : 14 \| denmark (den) \| 0 \| 0 \| 1 \| 1 row 16 : 14 \| france (fra) \| 0 \| 0 \| 1 \| 1 row 17 : 14 \| south korea (kor) \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select silver where silver in ( 1 , 1 ) order by bronze desc limit 1	1
[ header: \| district \| headquarters \| population (2011) \| males \| females \| percentage decadal growth 2001-2011 \| sex ratio \| density (persons per km2) \| child population 0-6 years \| child sex ratio \| literacy rate row 1 : 1 \| angul \| angul \| 1271703 \| 654898 \| 616805 \| 11.55 \| 942 \| 199 \| 145690 \| 884 \| 78.96 row 2 : 3 \| balasore \| baleswar \| 2317419 \| 1184371 \| 1133048 \| 14.47 \| 957 \| 609 \| 274432 \| 941 \| 80.66 row 3 : 4 \| bargarh \| bargarh \| 1478833 \| 748332 \| 730501 \| 9.84 \| 976 \| 253 \| 156185 \| 946 \| 75.16 row 4 : 5 \| bhadrak \| bhadrak \| 1506522 \| 760591 \| 745931 \| 12.95 \| 981 \| 601 \| 176793 \| 931 \| 83.25 row 5 : 7 \| cuttack \| cuttack \| 2618708 \| 1339153 \| 1279555 \| 11.87 \| 955 \| 666 \| 251152 \| 913 \| 84.2 row 6 : 9 \| dhenkanal \| dhenkanal \| 1192948 \| 612597 \| 580351 \| 11.82 \| 947 \| 268 \| 132647 \| 870 \| 79.41 row 7 : 11 \| ganjam \| chhatrapur \| 3520151 \| 1777324 \| 1742827 \| 11.37 \| 981 \| 429 \| 397920 \| 899 \| 71.88 row 8 : 12 \| jagatsinghpur \| jagatsinghpur \| 1136604 \| 577699 \| 558905 \| 7.44 \| 967 \| 681 \| 103517 \| 929 \| 87.13 row 9 : 13 \| jajpur \| jajpur \| 1826275 \| 926058 \| 900217 \| 12.43 \| 972 \| 630 \| 207310 \| 921 \| 80.44 row 10 : 14 \| jharsuguda \| jharsuguda \| 579499 \| 297014 \| 282485 \| 12.56 \| 951 \| 274 \| 61823 \| 938 \| 78.36 row 11 : 16 \| kandhamal \| phulbani \| 731952 \| 359401 \| 372551 \| 12.92 \| 1037 \| 91 \| 106379 \| 960 \| 65.12 row 12 : 19 \| khordha \| khordha \| 2246341 \| 1166949 \| 1079392 \| 19.65 \| 925 \| 799 \| 222275 \| 910 \| 87.51 row 13 : 21 \| malkangiri \| malkangiri \| 612727 \| 303913 \| 308814 \| 21.53 \| 1016 \| 106 \| 105636 \| 979 \| 49.49 row 14 : 23 \| nabarangapur \| nabarangpur \| 1218762 \| 604046 \| 614716 \| 18.81 \| 1018 \| 230 \| 201901 \| 988 \| 48.2 row 15 : 26 \| puri \| puri \| 1697983 \| 865209 \| 832774 \| 13 \| 963 \| 488 \| 164388 \| 924 \| 85.37 row 16 : 28 \| sambalpur \| sambalpur \| 1044410 \| 529424 \| 514986 \| 12.24 \| 973 \| 158 \| 112946 \| 931 \| 76.91 row 17 : 30 \| sundergarh \| sundergarh \| 2080664 \| 1055723 \| 1024941 \| 13.66 \| 971 \| 214 \| 249020 \| 937 \| 74.13 ] Execute this SQL based on the above table: select density (persons per km2) where district = 'bargarh'	253.0
[ header: city \| country \| iata \| icao \| airport \| commenced \| ended row 1 : bangkok \| thailand \| bkk \| vtbs \| suvarnabhumi airport \| 2004 \| present row 2 : chennai \| india \| maa \| vomm \| chennai international airport \| 2007 \| present row 3 : chiang mai \| thailand \| cnx \| vtcc \| chiang mai international airport \| 2005 \| 2008 row 4 : da nang \| vietnam \| dad \| vvdn \| da nang international airport \| 2006 \| 2006 row 5 : dhaka \| bangladesh \| dac \| vghs \| shahjalal international airport \| 2012 \| present row 6 : guangzhou \| china \| can \| zggg \| guangzhou baiyun international airport \| 2006 \| present row 7 : haikou \| china \| hak \| zjhk \| haikou meilan international airport \| 2006 \| present row 8 : hat yai \| thailand \| hdy \| vtss \| hat yai international airport \| 2004 \| present row 9 : ho chi minh city \| vietnam \| sgn \| vvts \| tan son nhat international airport \| 2005 \| present row 10 : hong kong \| hong kong \| hkg \| vhhh \| hong kong international airport \| 2010 \| present row 11 : hyderabad \| india \| hyd \| vohs \| rajiv gandhi international \| 2012 \| present row 12 : kochi \| india \| cok \| voci \| cochin international airport \| 2012 \| present row 13 : krabi \| thailand \| kbv \| vtsg \| krabi airport \| 2005 \| present row 14 : kuala lumpur \| malaysia \| kul \| wmkk \| kuala lumpur international airport \| 2008 \| present row 15 : kuching \| malaysia \| kch \| wbgg \| kuching international airport \| 2008 \| 2013 row 16 : langkawi \| malaysia \| lgk \| wmkl \| langkawi international airport \| 2009 \| 2010 row 17 : lijang \| china \| ljg \| zplj \| lijiang sanyi airport \| 2013 \| present row 18 : lombok \| indonesia \| lop \| wadl \| lombok international airport \| 2013 \| present row 19 : manila \| philippines \| mnl \| rpll \| ninoy aquino international airport \| 2010 \| present row 20 : penang \| malaysia \| pen \| wmkp \| penang international airport \| 2009 \| present row 21 : perth \| australia \| per \| ypph \| perth airport \| 2004 \| present row 22 : phnom penh \| cambodia \| pnh \| vdpp \| phnom penh international airport \| 2012 \| present row 23 : singapore \| singapore \| sin \| wsss \| singapore changi airport[hub \| 2004 \| present row 24 : surabaya \| indonesia \| sub \| warr \| juanda international airport \| 2013 \| present row 25 : taipei \| taiwan \| tpe \| rctp \| taiwan taoy \| 2011 \| present row 26 : thiruvananthapuram \| india \| trv \| votv \| trivandrum international airport \| 2010 \| present row 27 : tiruchirapalli \| india \| trz \| votr \| tiruchirapalli airport \| 2010 \| present row 28 : udon thani \| thailand \| uth \| vtud \| udon thani international airport \| 2007 \| 2007 ] Execute this SQL based on the above table: select ended group by ended order by sum ( commenced ) desc limit 1	present
[ header: city/municipality \| city/municipality \| no. of barangays \| area (hectares) \| population (2010) \| income class (2010) \| mayor (2010-2013) row 1 : None \| baao \| 30 \| 10663 \| 54971 \| 3rd class \| melquiades i. gait row 2 : None \| balatan \| 17 \| 9309 \| 28699 \| 4th class \| ernesto a. bagas row 3 : None \| bato \| 33 \| 10712 \| 48306 \| 3rd class \| jeanette r. bernal row 4 : None \| buhi \| 38 \| 24665 \| 73809 \| 1st class \| rey p. lacoste row 5 : None \| bula \| 33 \| 16764 \| 68011 \| 2nd class \| benjamin s. decen row 6 : None \| calabanga \| 48 \| 16380 \| 78119 \| 1st class \| eduardo severo row 7 : None \| camaligan \| 13 \| 468 \| 22254 \| 5th class \| marilou marquez-hirose row 8 : None \| caramoan \| 49 \| 27600 \| 44945 \| 2nd class \| constantino h. cordial, row 9 : None \| gainza \| 8 \| 1475 \| 10345 \| 5th class \| william angeles abilay row 10 : None \| garchitorena \| 23 \| 24380 \| 25204 \| 4th class \| solon o.demetriou j row 11 : None \| goa \| 34 \| 20618 \| 58503 \| 2nd class \| antero s. lim row 12 : None \| iriga city \| 36 \| 13735 \| 105919 \| 4th class \| madeleine a. gazmen row 13 : None \| lagonoy \| 38 \| 37790 \| 51814 \| 2nd class \| delfin r. pilapil row 14 : None \| libmanan \| 75 \| 34282 \| 100002 \| 1st class \| marilyn a. jimenez row 15 : None \| lupi \| 38 \| 19912 \| 30118 \| 3rd class \| raul m. matamoros row 16 : None \| magarao \| 15 \| 4497 \| 24274 \| 4th class \| salvador a. senar row 17 : None \| milaor \| 20 \| 3364 \| 28474 \| 4th class \| rogelio a. row 18 : None \| nabua \| 42 \| 9620 \| 80111 \| 1st class \| delia c. simbulan row 19 : 25px \| naga city \| 27 \| 8448 \| 174931 \| 2nd class \| john g. bongat row 20 : None \| ocampo \| 25 \| 11833 \| 43523 \| 3rd class \| fidel c. carido row 21 : None \| pamplona \| 17 \| 8060 \| 34471 \| 4th class \| gimeno a. imperial row 22 : None \| pasacao \| 19 \| 14954 \| 45946 \| 3rd class \| asuncion v. arseni row 23 : None \| pili \| 26 \| 12625 \| 82307 \| 1st class \| tomas p. bongalonta, row 24 : None \| presentacion \| 18 \| 14380 \| 20023 \| 4th class \| joey a. delen row 25 : None \| sagnay \| 19 \| 15476 \| 31314 \| 4th class \| evelyn b. fuente row 26 : None \| san fernando \| 22 \| 7176 \| 33281 \| 4th class \| eugenio "jun" ] Execute this SQL based on the above table: select no. of barangays where income class (2010) = '2nd class'	33.0, 49.0, 34.0, 38.0, 27.0
[ header: year \| team \| games \| carries \| yards \| yards per carry \| longest carry \| touchdowns \| first downs \| fumbles \| fumbles lost row 1 : 2002 \| gb \| 8 \| 39 \| 184 \| 4.7 \| 43 \| 1 \| 8 \| 1 \| 1 row 2 : 2003 \| gb \| 15 \| 77 \| 420 \| 5.5 \| 76 \| 2 \| 18 \| 4 \| 1 row 3 : 2004 \| gb \| 11 \| 71 \| 359 \| 5.1 \| 40 \| 2 \| 16 \| 0 \| 0 row 4 : 2005 \| gb \| 5 \| 30 \| 105 \| 3.5 \| 24 \| 2 \| 9 \| 1 \| 0 row 5 : 2006 \| pit \| 13 \| 60 \| 221 \| 3.7 \| 48 \| 1 \| 9 \| 1 \| 0 row 6 : 2007 \| pit \| 15 \| 107 \| 499 \| 4.7 \| 45 \| 5 \| 37 \| 1 \| 0 row 7 : 2008 \| pit \| 4 \| 2 \| 5 \| 2.5 \| 3 \| 0 \| 2 \| 0 \| 0 row 8 : 2008 \| ind \| 2 \| 8 \| 26 \| 3.3 \| 8 \| 0 \| 1 \| 0 \| 0 row 9 : career \| None \| 73 \| 394 \| 1819 \| 4.6 \| 76 \| 13 \| 100 \| 8 \| 2 ] Execute this SQL based on the above table: select team order by year desc limit 1	pit
[ header: rank \| bib \| athlete \| country \| time \| deficit \| note row 1 : 8 \| 37 \| laure barthelemy \| france \| 3:08.53 \| 4.64 \| q row 2 : 10 \| 27 \| magda genuin \| italy \| 3:09.91 \| 6.02 \| q row 3 : 11 \| 16 \| arianna follis \| italy \| 3:10.41 \| 6.52 \| q row 4 : 12 \| 24 \| celine brun-lie \| norway \| 3:10.45 \| 6.56 \| q row 5 : 21 \| 40 \| riikka sarasoja \| finland \| 3:13.49 \| 9.6 \| q row 6 : 24 \| 9 \| perianne jones \| canada \| 3:13.95 \| 10.06 \| q row 7 : 26 \| 21 \| anastasia dotsenko \| russia \| 3:15.03 \| 11.14 \| q row 8 : 27 \| 33 \| daria gaiazova \| canada \| 3:15.10 \| 11.21 \| q row 9 : 29 \| 7 \| jessica diggins \| united states \| 3:15.24 \| 11.35 \| q row 10 : 32 \| 38 \| natalya korostelyova \| russia \| 3:15.83 \| 11.94 \| None row 11 : 37 \| 26 \| madoka natsumi \| japan \| 3:17.89 \| 14 \| None row 12 : 38 \| 28 \| pirjo muranen \| finland \| 3:18.21 \| 14.32 \| None row 13 : 39 \| 54 \| elena soboleva \| russia \| 3:19.55 \| 15.66 \| None row 14 : 40 \| 11 \| elena kolomina \| kazakhstan \| 3:20.17 \| 16.28 \| None row 15 : 53 \| 59 \| rosamund musgrave \| united kingdom \| 3:26.34 \| 22.45 \| None row 16 : 54 \| 1 \| anastasia slonova \| kazakhstan \| 3:26.51 \| 22.62 \| None row 17 : 56 \| 4 \| piret pormeister \| estonia \| 3:27.34 \| 23.45 \| None row 18 : 57 \| 64 \| maryna antsybor \| ukraine \| 3:28.17 \| 24.28 \| None row 19 : 62 \| 63 \| monika gyorgy \| romania \| 3:32.20 \| 28.31 \| None row 20 : 63 \| 71 \| niviaq chemnitz \| denmark \| 3:32.56 \| 28.67 \| None row 21 : 67 \| 67 \| zoya zaviediei \| ukraine \| 3:38.21 \| 31.32 \| None row 22 : 74 \| 86 \| irina khodiakov \| kyrgyzstan \| 3:52.24 \| 48.35 \| None row 23 : 78 \| 77 \| agnes simon \| hungary \| 4:04.44 \| +1:00.55 \| None row 24 : 82 \| 73 \| syuzanna varosyan \| armenia \| 4:25.77 \| +1:21.88 \| None row 25 : 84 \| 76 \| valya varosyan \| armenia \| 4:30.74 \| +1:26.85 \| None row 26 : 85 \| 80 \| zane eglite \| latvia \| 4:37.37 \| +1:33.48 \| None row 27 : None \| 61 \| brooke gosling \| canada \| dns \| None \| None ] Execute this SQL based on the above table: select athlete where country = 'united kingdom'	rosamund musgrave
[ header: season \| level \| division \| section \| position \| movements row 1 : 1993 \| tier 3 \| division 2 \| vastra gotaland \| 1st \| None row 2 : 1994 \| tier 2 \| division 1 \| sodra \| 7th \| None row 3 : 1995 \| tier 2 \| division 1 \| sodra \| 5th \| None row 4 : 1996 \| tier 2 \| division 1 \| sodra \| 2nd \| promoted row 5 : 1997 \| tier 1 \| allsvenskan \| None \| 14th \| panos ljungskile s row 6 : 1998 \| tier 2 \| division 1 \| sodra \| 6th \| panos ljungskile s row 7 : 1999 \| tier 2 \| division 1 \| sodra \| 4th \| panos ljungskile s row 8 : 2000 \| tier 2 \| superettan \| None \| 15th \| panos ljungskile s row 9 : 2001 \| tier 3 \| division 2 \| vastra gotaland \| 1st \| panos ljungskile s row 10 : 2002 \| tier 3 \| division 2 \| vastra gotaland \| 6th \| panos ljungskile s row 11 : 2003 \| tier 3 \| division 2 \| vastra gotaland \| 2nd \| None row 12 : 2004 \| tier 3 \| division 2 \| vastra gotaland \| 1st \| promotion playoffs - promoted row 13 : 2005 \| tier 2 \| superettan \| None \| 4th \| None row 14 : 2006 \| tier 2 \| superettan \| None \| 6th \| None row 15 : 2007 \| tier 2 \| superettan \| None \| 2nd \| promoted row 16 : 2008 \| tier 1 \| allsvenskan \| None \| 14th \| relegation playoffs - re row 17 : 2009 \| tier 2 \| superettan \| None \| 9th \| None row 18 : 2010 \| tier 2 \| superettan \| None \| 6th \| None row 19 : 2011 \| tier 2 \| superettan \| None \| 8th \| None row 20 : 2012 \| tier 2 \| superettan \| None \| 5th \| None row 21 : 2013 \| tier 2 \| superettan \| None \| 9th \| None ] Execute this SQL based on the above table: select position order by level desc limit 1	1st
[ header: place \| player \| country \| score \| to par \| money ($) row 1 : 1 \| ben hogan \| united states \| 70-72-70-68=280 \| -8 \| 3,000 row 2 : 2 \| skee riegel \| united states \| 73-68-70-71=28 \| -6 \| 1,875 row 3 : t3 \| lloyd mangrum \| united states \| 69-74-70-73=2 \| -2 \| 1162 row 4 : t3 \| lew worsham \| united states \| 71-71-72-72=2 \| -2 \| 1162 row 5 : 5 \| dave douglas \| united states \| 74-69-72-73=2 \| e \| 750 row 6 : 6 \| lawson little \| united states \| 72-73-72-72=289 \| +1 \| 600 row 7 : 7 \| jim ferrier \| australia \| 74-70-74-72=290 \| +2 \| 525 row 8 : t8 \| johnny bulla \| united states \| 71-72-73-75=2 \| +3 \| 450 row 9 : t8 \| byron nelson \| united states \| 71-73-73-74=2 \| +3 \| 450 row 10 : t8 \| sam snead \| united states \| 69-74-68-80=2 \| +3 \| 450 ] Execute this SQL based on the above table: select count ( score ) where place = 't8'	3
[ header: date \| opponent \| venue \| result \| scorers row 1 : march 31, 1979 \| portland timbers \| h \| 3-4 \| gersdorff, child, cohen row 2 : april 14, 1979 \| edmonton drillers \| h \| 0-1 \| None row 3 : april 21, 1979 \| san diego sockers \| a \| 3-3 \| child (2), ryan row 4 : april 28, 1979 \| los angeles aztecs \| h \| 1-2 \| child row 5 : may 5, 1979 \| vancouver whitecaps \| h \| 1-2 \| gersdorff row 6 : may 9, 1979 \| detroit express \| a \| 0-3 \| None row 7 : may 12, 1979 \| seattle sounders \| a \| 1-2 \| gersdorff row 8 : may 19, 1979 \| seattle sounders \| h \| 0-1 \| None row 9 : may 26, 1979 \| edmonton drillers \| a \| 2-1 \| child, lawson row 10 : june 2, 1979 \| memphis rogues \| h \| 2-1 \| etterich, flindt row 11 : june 6, 1979 \| minnesota kicks \| a \| 1-4 \| gersdorff row 12 : june 9, 1979 \| toronto blizzard \| h \| 2-3 \| child, gersdorff row 13 : june 13, 1979 \| tampa bay rowdies \| a \| 2-2 \| child, versen row 14 : june 16, 1979 \| fort lauderdale strikers \| a \| 1-3 \| armstrong row 15 : june 20, 1979 \| portland timbers \| a \| 2-1 \| etterich, ryan row 16 : june 23, 1979 \| chicago sting \| h \| 4-2 \| etterich, bick, webers row 17 : june 27, 1979 \| new england tea men \| h \| 0-1 \| None row 18 : june 30, 1979 \| philadelphia fury \| a \| 1-2 \| wood row 19 : july 4, 1979 \| houston hurricane \| a \| 0-4 \| None row 20 : july 7, 1979 \| fort lauderdale strikers \| h \| 1-2 \| flindt row 21 : july 11, 1979 \| philadelphia fury \| h \| 4-4 \| armstrong, etterich, gers row 22 : july 14, 1979 \| los angeles aztecs \| a \| 0-0 \| None row 23 : july 18, 1979 \| houston hurricane \| h \| 1-2 \| gersdorff row 24 : july 21, 1979 \| tulsa roughnecks \| h \| 3-2 \| armstrong (2), wood row 25 : july 25, 1979 \| chicago sting \| a \| 3-2 \| gersdorff (2), child row 26 : july 29, 1979 \| new york cosmos \| a \| 0-5 \| None row 27 : august 1, 1979 \| california surf \| h \| 0-2 \| None row 28 : august 4, 1979 \| california surf \| a \| 1-4 \| wood row 29 : august 8, 1979 \| vancouver whitecaps \| a \| 0-1 \| None row 30 : august 11, 1979 \| san diego sockers \| h \| 0-6 \| None ] Execute this SQL based on the above table: select result group by result having count ( * ) >= 3	0-1, 1-2, 2-1
[ 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 year where award = 'golden globe award'	1955, 2007
[ header: result \| record \| opponent \| method \| date \| round \| location row 1 : loss \| 31-3-0 \| j.h. isbell \| ko \| 1934 mar 31 \| 2 \| cambridge, massachusetts row 2 : loss \| 31-2-0 \| "modest" bill smith \| ko \| 1934 feb 27 \| 2 \| cambridge, massachusetts row 3 : win \| 31-1-0 \| frankie hagen \| ko \| 1934 feb 24 \| 1 \| cambridge, massachusetts row 4 : win \| 30-1-0 \| harry gardner \| ko \| 1934 feb 21 \| 1 \| cambridge, massachusetts row 5 : win \| 29-1-0 \| sid stoneman \| ko \| 1934 feb 14 \| 1 \| cambridge, massachusetts row 6 : win \| 28-1-0 \| frankie hagan \| pts \| 1934 jan 30 \| 3 \| cambridge, massachusetts row 7 : win \| 27-1-0 \| basil barnett \| ko \| 1934 jan 24 \| 2 \| cambridge, massachusetts row 8 : win \| 25-1-0 \| bob delmont \| ko \| 1934 jan 07 \| 1 \| cambridge, massachusetts row 9 : loss \| 24-1-0 \| brad simmons \| ko \| 1934 jan 01 \| 1 \| cambridge, massachusetts row 10 : win \| 24-0-0 \| herman zeinman \| ko \| 1933 \| 1 \| cambridge, massachusetts row 11 : win \| 23-0-0 \| william beltran \| ko \| 1933 \| 1 \| cambridge, massachusetts row 12 : win \| 21-0-0 \| lawrence "larry" o \| ko \| 1933 \| 1 \| cambridge, massachusetts row 13 : win \| 20-0-0 \| igg rosenberg \| ko \| 1933 \| 1 \| cambridge, massachusetts row 14 : win \| 19-0-0 \| melvin kenyon \| ko \| 1933 \| 1 \| cambridge, massachusetts row 15 : win \| 17-0-0 \| samuel rodgway \| ko \| 1933 may 28 \| 1 \| cambridge, massachusetts row 16 : exch \| 16-0-0 \| "irish" tommy mitchell \| ko \| 1933 may 21 \| 1 \| cambridge, massachusetts row 17 : win \| 15-0-0 \| jim crawford \| ko \| 1933 may 14 \| 1 \| cambridge, massachusetts row 18 : win \| 14-0-0 \| max levine \| ko \| 1933 may 7 \| 1 \| cambridge, massachusetts row 19 : win \| 13-0-0 \| leo hart \| ko \| 1933 may 1 \| 1 \| cambridge, massachusetts row 20 : win \| 12-0-0 \| paul benjamin \| pts \| 1932 \| 3 \| evanston, illinois row 21 : win \| 11-0-0 \| fred chapman \| ko \| 1932 \| 3 \| evanston, illinois row 22 : win \| 10-0-0 \| paul benjamin \| ko \| 1932 \| 3 \| evanston, illinois row 23 : win \| 9-0-0 \| rod conley \| ko \| 1932 \| 2 \| evanston, illinois row 24 : win \| 8-0-0 \| paul gilmore \| ko \| 1932 \| 1 \| chicago, illinois row 25 : win \| 7-0-0 \| jack lewis \| ko \| 1932 \| 3 \| chicago, illinois row 26 : exch \| 6-0-0 \| eddie mitchell \| ko \| 1932 \| 1 \| chicago, illinois ] Execute this SQL based on the above table: select method where opponent = 'william beltran' and result = 'win'	ko
[ header: game \| date \| opponent \| location \| score \| ot \| attendance \| record row 1 : 1 \| january 8, 2005 \| philadelphia wings \| arrowhead pond \| w 13-10 \| None \| 5,732 \| 1-0 row 2 : 2 \| january 22, 2005 \| rochester knighthawks \| arrowhead pond \| l 11-15 \| None \| 4,053 \| 1-1 row 3 : 3 \| january 28, 2005 \| @ minnesota swarm \| xcel energy center \| w 8-7 \| None \| 12,514 \| 2-1 row 4 : 4 \| january 29, 2005 \| calgary roughnecks \| arrowhead pond \| l 12-13 \| None \| 4,159 \| 2-2 row 5 : 5 \| february 4, 2005 \| @ arizona sting \| jobing.com arena \| l 10-17 \| None \| 6,313 \| 2-3 row 6 : 6 \| february 11, 2005 \| @ buffalo bandits \| hsbc arena \| l 9-20 \| None \| 8,805 \| 2-4 row 7 : 7 \| february 18, 2005 \| @ calgary roughnecks \| pengrowth saddledome \| l 15-18 \| None \| 9,550 \| 2-5 row 8 : 8 \| march 4, 2005 \| colorado mammoth \| arrowhead pond \| l 12-13 \| None \| 4,500 \| 2-6 row 9 : 9 \| march 13, 2005 \| toronto rock \| arrowhead pond \| l 6-14 \| None \| 4,499 \| 2-7 row 10 : 10 \| march 19, 2005 \| @ colorado mammoth \| pepsi center \| l 8-16 \| None \| 16,270 \| 2-8 row 11 : 11 \| march 25, 2005 \| @ san jose stealth \| hp pavilion at san jose \| l 14-15 \| None \| 5,022 \| 2-9 row 12 : 12 \| march 26, 2005 \| san jose stealth \| arrowhead pond \| w 13-12 \| ot \| 4,834 \| 3-9 row 13 : 13 \| april 2, 2005 \| @ colorado mammoth \| pepsi center \| w 10-6 \| None \| 18,326 \| 4-9 row 14 : 14 \| april 9, 2005 \| minnesota swarm \| arrowhead pond \| l 11-12 \| ot \| 4,967 \| 4-10 row 15 : 15 \| april 15, 2005 \| arizona sting \| arrowhead pond \| l 12-14 \| None \| 5,891 \| 4-11 row 16 : 16 \| april 16, 2005 \| @ arizona sting \| jobing.com arena \| w 11-10 \| None \| 7,731 \| 5-11 ] Execute this SQL based on the above table: select count ( ot ) where opponent < 1030	0
[ header: type \| stage \| cyclist \| team \| reason row 1 : dnf \| 2 \| remi pauriol \| cofidis \| broken collarbone row 2 : dns \| 3 \| jose angel gomez marchante \| cervelo testteam \| broken arm sustained from crash in stage 2 row 3 : dns \| 3 \| daniel martin \| garmin-slipstream \| illness row 4 : dns \| 3 \| joost posthuma \| rabobank \| illness row 5 : dnf \| 3 \| matteo bono \| lampre-ngc \| None row 6 : dnf \| 3 \| anthony charteau \| caisse d'epargne \| None row 7 : dns \| 4 \| sylvain calzat \| agritubel \| None row 8 : dns \| 4 \| bradley wiggins \| garmin-slipstream \| death in the family row 9 : dnf \| 4 \| jussi veikkanen \| francaise des jeux \| None row 10 : dns \| 5 \| inigo cuesta \| cervelo testteam \| None row 11 : dns \| 5 \| enrico franzoi \| liquigas \| None row 12 : dnf \| 5 \| steven cozza \| garmin-slipstream \| None row 13 : dnf \| 5 \| philippe gilbert \| silence-lotto \| None row 14 : dnf \| 5 \| brian vandborg \| liquigas \| None row 15 : dns \| 6 \| jelle vanendert \| silence-lotto \| None row 16 : dnf \| 6 \| jose luis arrieta \| ag2r-la mondiale \| None row 17 : dnf \| 6 \| sebastien chavanel \| francaise des jeux \| None row 18 : dnf \| 6 \| simon spilak \| lampre-ngc \| None row 19 : dnf \| 6 \| thomas voeckler \| bbox bouygues telecom \| shoulder injury sustained from crash row 20 : dns \| 7 \| sebastian langeveld \| rabobank \| None row 21 : dnf \| 7 \| samuel sanchez \| euskaltel-euskad \| None row 22 : dnf \| 7 \| mickael cherel \| francaise des jeux \| None row 23 : dnf \| 7 \| thomas fothen \| team milram \| None row 24 : dnf \| 7 \| marcel sieberg \| team columbia-high road \| None row 25 : dnf \| 7 \| tom veelers \| skil-shimano \| None row 26 : dnf \| 7 \| mickael buffaz \| cofidis \| None row 27 : dnf \| 7 \| javier aramendia \| euskaltel-euskad \| None row 28 : dnf \| 7 \| romain feillu \| agritubel \| None ] Execute this SQL based on the above table: select type where id = ( select id where type = 'dnf' ) + 1	dns
[ header: home team \| score \| away team \| date \| agg row 1 : aberdeen \| 7-1 \| hamilton academical \| 11-10-1978 \| 8-1 row 2 : airdrieonians \| 1-2 \| arbroath \| 10-10-1978 \| 2-3 row 3 : ayr united \| 1-1 \| falkirk \| 11-10-1978 \| 3-1 row 4 : clydebank \| 1-1 \| hibernian \| 11-10-1978 \| 1-2 row 5 : morton \| 5-2 \| kilmarnock \| 11-10-1978 \| 5-4 row 6 : montrose \| 5-1 \| raith rovers \| 11-10-1978 \| 5-4 row 7 : motherwell \| 1-4 \| celtic \| 11-10-1978 \| 2-4 row 8 : st. mirren \| 0-0 \| rangers \| 11-10-1978 \| 2-3 ] Execute this SQL based on the above table: select count ( home team )	8
[ header: week \| opponent \| result \| game site \| tv \| time \| attendance \| bye row 1 : 1 \| at denver broncos \| l 3-19 \| mile high stadium \| nbc \| 4:15pm \| 75600 \| row 2 : 2 \| at oakland raiders \| w 28-27 \| network associates coliseum \| abc \| 9:00pm \| 61523 \| row 3 : 3 \| buffalo bills \| w 22-16 \| arrowhead stadium \| nbc \| 1:00pm \| 78169 \| row 4 : 4 \| at carolina panthers \| w 35-14 \| bank of america stadium \| nbc \| 1:00pm \| 67402 \| row 5 : 5 \| seattle seahawks \| w 20-17 ot \| arrowhead stadium \| nbc \| 4:15pm \| 77877 \| row 6 : 6 \| at miami dolphins \| l 14-17 \| pro player stadium \| nbc \| 1:00pm \| 71794 \| row 7 : 7 \| None \| None \| None \| None \| None \| None \| row 8 : 8 \| san diego chargers \| w 31-3 \| arrowhead stadium \| tnt \| 8:00pm \| 77195 \| row 9 : 9 \| at st. louis rams \| w 28-20 \| edward jones dome \| nbc \| 1:00pm \| 64864 \| row 10 : 10 \| pittsburgh steelers \| w 13-10 \| arrowhead stadium \| abc \| 9:00pm \| 78301 \| row 11 : 11 \| at jacksonville jaguars \| l 14-24 \| alltel stadium \| nbc \| 1:00pm \| 70444 \| row 12 : 12 \| denver broncos \| w 24-22 \| arrowhead stadium \| nbc \| 1:00pm \| 77963 \| row 13 : 13 \| at seattle seahawks \| w 19-14 \| kingdome \| nbc \| 4:15pm \| 66264 \| row 14 : 14 \| san francisco 49ers \| w 44-9 \| arrowhead stadium \| fox \| 1:00pm \| 77535 \| row 15 : 15 \| oakland raiders \| w 30-0 \| arrowhead stadium \| nbc \| 1:00pm \| 76379 \| row 16 : 16 \| at san diego chargers \| w 29-7 \| qualcomm stadium \| nbc \| 4:15pm \| 54594 \| row 17 : 17 \| new orleans saints \| w 25-13 \| arrowhead stadium \| fox \| 1:00pm \| 66772 \| row 18 : divisional playoff \| denver broncos \| l 10-14 \| arrowhead stadium \| nbc \| 4:15pm \| 76965 \| ] Execute this SQL based on the above table: select week where attendance = 77535	14
[ header: place \| team \| played \| won \| draw \| lost \| goals scored \| goals conceded \| +/- \| points row 1 : 1 \| c.d. aguila \| 18 \| 9 \| 5 \| 4 \| 24 \| 19 \| 5 \| 32 row 2 : 2 \| c.d. fas \| 18 \| 6 \| 8 \| 4 \| 26 \| 17 \| 9 \| 26 row 3 : 3 \| c.d. vista hermosa \| 18 \| 8 \| 2 \| 8 \| 27 \| 22 \| 5 \| 26 row 4 : 4 \| a.d. isidro \| 18 \| 7 \| 5 \| 6 \| 21 \| 22 \| -1 \| 26 row 5 : 5 \| alianza f.c \| 18 \| 7 \| 4 \| 7 \| 29 \| 26 \| 3 \| 25 row 6 : 6 \| c.d. atletico balb \| 18 \| 6 \| 5 \| 7 \| 26 \| 25 \| 1 \| 23 row 7 : 7 \| san salvador f.c \| 18 \| 6 \| 5 \| 7 \| 28 \| 32 \| -4 \| 23 row 8 : 8 \| c.d. chalatenango \| 18 \| 5 \| 7 \| 6 \| 19 \| 26 \| -3 \| 22 row 9 : 9 \| once municipal \| 18 \| 5 \| 6 \| 7 \| 24 \| 30 \| -6 \| 21 row 10 : 10 \| c.d. luis angel fir \| 18 \| 5 \| 5 \| 8 \| 18 \| 23 \| -5 \| 20 ] Execute this SQL based on the above table: select team order by goals scored desc limit 1	alianza f.c
[ header: team #1 \| agg. \| team #2 \| 1st leg \| 2nd leg row 1 : florina \| 0-3 \| panachaiki \| 0-1 \| 0-2 row 2 : kilkisiakos \| 1-2 \| panarkadikos \| 1-0 \| 0-2 row 3 : kallithea \| 2-7 \| makedonikos \| 2-2 \| 0-5 row 4 : panathinaikos \| 9-1 \| panelefsiniakos \| 5-0 \| 4-1 row 5 : anagennisi arta \| 1-6 \| olympiacos \| 1-1 \| 0-5 row 6 : paok (a.g.) \| 3-3 \| aris \| 2-0 \| 1-3 row 7 : kavala (a.g.) \| 2-2 \| aiolikos \| 1-0 \| 1-2 row 8 : kozani \| 2-1 \| fostiras \| 1-0 \| 1-1 row 9 : diagoras \| 3-4 \| korinthos \| 2-2 \| 1-2 row 10 : larissa \| 8-1 \| neapoli piraeus \| 7-0 \| 1-1 row 11 : thiva \| 2-3 \| proodeftiki \| 1-1 \| 1-2 row 12 : edessaikos \| 1-2 \| levadiakos \| 1-0 \| 0-2 row 13 : pierikos \| 2-1 \| ethnikos asteras \| 2-0 \| 0-1 row 14 : ethnikos olymp \| 2-1 \| thriamvos \| 2-1 \| 0-0 row 15 : lamia \| 4-3 \| kastoria \| 4-2 \| 0-1 row 16 : panionios \| 3-1 \| pas giannina \| 3-1 \| 0-0 ] Execute this SQL based on the above table: select 2nd leg where team #2 = 'olympiacos'	0-5
[ header: # \| player \| pos \| pts \| tries \| conv \| pens \| drop \| opposition \| venue \| date row 1 : 1 \| stefano bettarello \| fly-half \| 29 \| 1 \| 2 \| 5 \| 2 \| canada \| toronto \| 1 july 1982 row 2 : 1 \| diego dominguez \| fly-half \| 29 \| 0 \| 1 \| 6 \| 3 \| scotland \| rome \| 5 february 2000 row 3 : 1 \| diego dominguez \| fly-half \| 29 \| 0 \| 4 \| 7 \| 0 \| fiji \| treviso \| 10 november 2001 row 4 : 4 \| diego dominguez \| fly-half \| 28 \| 1 \| 7 \| 3 \| 0 \| netherlands \| calvisano \| 21 may 1994 row 5 : 5 \| diego dominguez \| fly-half \| 27 \| 1 \| 2 \| 6 \| 0 \| ireland \| bologna \| 20 december 1997 row 6 : 6 \| diego dominguez \| fly-half \| 25 \| 0 \| 5 \| 5 \| 0 \| romania \| tarbes \| 26 october 1997 row 7 : 7 \| luigi troiani \| fly-half \| 24 \| 0 \| 12 \| 0 \| 0 \| czech republic \| viadana \| 18 may 1994 row 8 : 7 \| diego dominguez \| fly-half \| 24 \| 0 \| 0 \| 8 \| 0 \| romania \| catania \| 1 october 1994 row 9 : 7 \| mirco bergamasco \| wing \| 24 \| 0 \| 0 \| 8 \| 0 \| fiji \| modena \| 27 november 2010 row 10 : 10 \| 3 players on 23 points \| None \| None \| None \| None \| None \| None \| None \| None \| None ] Execute this SQL based on the above table: select count ( venue )	9
[ header: # \| title \| english translation \| original album \| length row 1 : 1 \| mimpi yang sempurn \| a perfect dream \| kisah 2002 malam \| 4:30 row 2 : 2 \| bintang di surga \| stars in the heaven \| bintang di surga \| None row 3 : 3 \| aku dan bintang \| the stars and me \| taman langit \| 3:39 row 4 : 4 \| jauh mimpiku \| distant dreams of mine \| ost. alexandria \| None row 5 : 5 \| hari yang cerah un \| a bright day for a lonely soul \| hari yang cerah \| 3:59 row 6 : 6 \| menunggu pagi \| waiting for dawn \| ost. alexandria \| None row 7 : 7 \| khayalan tingkat ting \| high-level imagination \| bintang di surga \| None row 8 : 8 \| sahabat \| best friend \| taman langit \| 4:33 row 9 : 9 \| sally sendiri \| sally alone \| hari yang cerah \| 4:17 row 10 : 10 \| langit tak mendengar \| the sky didn't listen \| ost. alexandria \| None row 11 : 11 \| di belakangku \| behind me \| bintang di surga \| None row 12 : 12 \| kita tertawa \| we laugh \| taman langit \| 3:29 row 13 : 13 \| membebaniku \| burdening me \| ost. alexandria \| 4:25 row 14 : 14 \| cobalah mengerti \| try to understand \| hari yang cerah \| 3:30 row 15 : 15 \| topeng \| mask \| taman langit \| 4:25 ] Execute this SQL based on the above table: select length where english translation = 'try to understand'	3
[ header: no \| peak \| location \| elevation (m) \| prominence (m) \| col height (m) \| col location \| parent row 1 : 1 \| mont blanc \| france/ italy \| 4810 \| 4697 \| 113 \| near lake kubenskoye \| everest row 2 : 5 \| piz bernina \| switzerland \| 4049 \| 2234 \| 1815 \| maloja pass \| finsteraarhorn1 / m row 3 : 7 \| monte rosa \| switzerland \| 4634 \| 2165 \| 2469 \| great st bernard pass \| mont blanc row 4 : 10 \| monte viso \| italy \| 3841 \| 2062 \| 1779 \| le mauvais pass \| mont blanc row 5 : 11 \| triglav \| slovenia \| 2864 \| 2052 \| 812 \| camporosso pass \| marmolada1 / m row 6 : 12 \| barre des ecrins \| france \| 4102 \| 2045 \| 2057 \| col du lautaret \| mont blanc row 7 : 15 \| monte baldo/cima \| italy \| 2218 \| 1950 \| 268 \| near san giovanni pass in \| ortler1 / mb2 row 8 : 16 \| gran paradiso \| italy \| 4061 \| 1891 \| 2170 \| near little st bernard pass \| mont blanc row 9 : 19 \| dents du midi \| switzerland \| 3257 \| 1796 \| 1461 \| col des montets \| mont blanc row 10 : 20 \| chamechaude \| france \| 2082 \| 1771 \| 311 \| chambery \| mont blanc row 11 : 21 \| zugspitze \| germany/ austria \| 2962 \| 1746 \| 1216 \| near fern pass \| finsteraarhorn1 / m row 12 : 25 \| großer priel \| austria \| 2515 \| 1700 \| 810 \| near pichl-kainisch \| hoher dachstein1 / m row 13 : 27 \| monte bondone \| italy \| 2180 \| 1679 \| 501 \| near cadine in trento \| ortler1 / mb2 row 14 : 29 \| birnhorn \| austria \| 2634 \| 1665 \| 969 \| hochfilzen \| großglockner1 / mb row 15 : 31 \| pointe percee \| france \| 2750 \| 1643 \| 1107 \| near pont d'arbon near mege \| mont blanc row 16 : 33 \| molltaler polinik \| austria \| 2784 \| 1579 \| 1205 \| iselsberg pass \| großglockner1 / mb row 17 : 35 \| birkkarspitze \| austria \| 2749 \| 1569 \| 1180 \| seefeld in tirol \| zugspitze1 / mb2 row 18 : 37 \| grande tete de l'obiou \| france \| 2790 \| 1542 \| 1248 \| col bayard \| barre des ecrins1 / row 19 : 39 \| hochtor \| austria \| 2369 \| 1520 \| 849 \| schober pass \| großglockner1 / mb row 20 : 41 \| grand combin \| switzerland \| 4314 \| 1517 \| 2797 \| fenetre de durand \| monte rosa row 21 : 44 \| piz kesch \| switzerland \| 3418 \| 1502 \| 1916 \| lukmanier pass \| finsteraarhorn1 / m ] Execute this SQL based on the above table: select parent where parent in ( 'monte rosa' , 'marmolada1 / mb2' ) order by elevation (m) desc limit 1	monte rosa
[ header: rank \| team \| names \| time \| qualification row 1 : 1 \| france \| christophe capelle philippe \| 4:09.570 \| q row 2 : 2 \| italy \| adler capelli mauro trent \| 4:09.695 \| q row 3 : 3 \| australia \| bradley mcgee stuart \| 4:09.750 \| q row 4 : 4 \| ukraine \| bohdan bondaryev ol \| 4:11.545 \| q row 5 : 5 \| russia \| eduard gritsun \| 4:11.665 \| q row 6 : 6 \| united states \| dirk copeland mariano friedick \| 4:11.950 \| q row 7 : 7 \| spain \| juan martinez juan \| 4:12.780 \| q row 8 : 8 \| new zealand \| gregory henderson bren \| 4:15.140 \| q row 9 : 9 \| germany \| robert bartko gui \| 4:15.140 \| None row 10 : 10 \| great britain \| robert hayes matthew \| 4:16.510 \| None row 11 : 11 \| lithuania \| arturas kasputis re \| 4:16.050 \| None row 12 : 12 \| netherlands \| jarich bakker robertus \| 4:16.175 \| None row 13 : 13 \| denmark \| frederik bertelsen j \| 4:16.175 \| None row 14 : 14 \| argentina \| walter perez edgardo \| 4:20.840 \| None row 15 : 15 \| south korea \| dae-hong chun young chung \| 4:25.215 \| None row 16 : 16 \| chile \| jose medina luis sepulve \| 4:25.960 \| None row 17 : 17 \| colombia \| john garcia marlon perez \| 4:26.400 \| None ] Execute this SQL based on the above table: select names where rank = 17	john garcia marlon perez yovani lopez jos velasquez de la cuesta
[ header: pos. \| athlete \| run 1 \| run 2 \| total row 1 : 1 \| aronne pieruz \| 50.39 \| 58.25 \| 1:48.64 row 2 : 2 \| filip trejbal \| 50.68 \| 58.84 \| 1:49.52 row 3 : 3 \| adam cole \| 51.4 \| 58.51 \| 1:49.91 row 4 : 4 \| tague thorson \| 51.2 \| 59.13 \| 1:50.33 row 5 : 5 \| jan urfer \| 51.54 \| 59.1 \| 1:50.64 row 6 : 6 \| charles christianson \| 51.75 \| 58.91 \| 1:50.66 row 7 : 7 \| francesco ghedina \| 51.37 \| 59.39 \| 1:50.94 row 8 : 8 \| luca moretti \| 52.05 \| 58.89 \| 1:51.17 row 9 : 9 \| cameron barnes \| 51.66 \| 59.51 \| 1:51.37 row 10 : 10 \| martin vrablik \| 52.77 \| 58.6 \| 1:51.48 ] Execute this SQL based on the above table: select athlete where athlete = 'jan urfer'	jan urfer
[ header: week \| date \| opponent \| result \| record \| attendance \| bye row 1 : 1 \| september 11, 2005 \| indianapolis colts \| l 24-7 \| 0-1-0 \| 70501 \| 0 row 2 : 2 \| september 18, 2005 \| at tennessee titans \| l 25-10 \| 0-2-0 \| 69149 \| 0 row 3 : 3 \| None \| None \| None \| None \| None \| 1 row 4 : 4 \| october 2, 2005 \| new york jets \| w 13-3 \| 1-2-0 \| 70479 \| 0 row 5 : 5 \| october 9, 2005 \| at detroit lions \| l 35-17 \| 1-3-0 \| 61201 \| 0 row 6 : 6 \| october 16, 2005 \| cleveland browns \| w 16-3 \| 2-3-0 \| 70196 \| 0 row 7 : 7 \| october 23, 2005 \| at chicago bears \| l 10-6 \| 2-4-0 \| 62102 \| 0 row 8 : 8 \| october 31, 2005 \| at pittsburgh steelers \| l 20-19 \| 2-5-0 \| 64178 \| 0 row 9 : 9 \| november 6, 2005 \| cincinnati bengals \| l 21-9 \| 2-6-0 \| 70540 \| 0 row 10 : 10 \| november 13, 2005 \| at jacksonville jaguars \| l 30-3 \| 2-7-0 \| 66107 \| 0 row 11 : 11 \| november 20, 2005 \| pittsburgh steelers \| w 16-13 ot \| 3-7-0 \| 70601 \| 0 row 12 : 12 \| november 27, 2005 \| at cincinnati bengals \| l 42-29 \| 3-8-0 \| 65680 \| 0 row 13 : 13 \| december 4, 2005 \| houston texans \| w 16-15 \| 4-8-0 \| 69909 \| 0 row 14 : 14 \| december 11, 2005 \| at denver broncos \| l 12-10 \| 4-9-0 \| 75651 \| 0 row 15 : 15 \| december 19, 2005 \| green bay packers \| w 48-3 \| 5-9-0 \| 70604 \| 0 row 16 : 16 \| december 25, 2005 \| minnesota vikings \| w 30-23 \| 6-9-0 \| 70246 \| 0 row 17 : 17 \| january 1, 2006 \| at cleveland browns \| l 20-16 \| 6-10-0 \| 69871 \| 0 ] Execute this SQL based on the above table: select result order by id desc limit 1	l 20-16
[ header: date \| winning team \| score \| losing team \| score \| ot \| city \| state/province \| arena \| attendance row 1 : october 21, 1993 \| st. louis \| 5 \| san jose \| 2 \| None \| sacramento \| ca \| arco arena \| 7144 row 2 : october 31, 1993 \| ny rangers \| 4 \| new jersey \| 1 \| None \| halifax \| ns \| halifax metro centre \| 8200 row 3 : november 3, 1993 \| pittsburgh \| 6 \| buffalo \| 2 \| None \| sacramento \| ca \| arco arena \| 10117 row 4 : november 9, 1993 \| anaheim \| 4 \| dallas \| 2 \| None \| phoenix \| az \| america west arena \| 8143 row 5 : november 18, 1993 \| ny islanders \| 5 \| montreal \| 1 \| None \| hamilton \| on \| copps coliseum \| 17008 row 6 : december 9, 1993 \| dallas \| 6 \| ottawa \| 1 \| None \| minneapolis \| mn \| target center \| 14058 row 7 : december 23, 1993 \| vancouver \| 4 \| calgary \| 3 \| None \| saskatoon \| sk \| saskplace \| 11429 row 8 : december 31, 1993 \| philadelphia \| 4 \| boston \| 3 \| None \| minneapolis \| mn \| target center \| 10855 row 9 : january 4, 1994 \| tampa bay \| 1 \| toronto \| 0 \| None \| hamilton \| on \| copps coliseum \| 17526 row 10 : january 5, 1994 \| montreal \| 2 \| quebec \| 0 \| None \| phoenix \| az \| america west arena \| 11393 row 11 : january 6, 1994 \| st. louis \| 2 \| hartford \| 1 \| None \| cleveland \| oh \| richfield coliseum \| 6956 row 12 : january 17, 1994 \| detroit \| 6 \| tampa bay \| 3 \| None \| minneapolis \| mn \| target center \| 8764 row 13 : january 23, 1994 \| vancouver \| 5 \| edmonton \| 4 \| (ot) \| saskatoon \| sk \| saskplace \| None row 14 : january 24, 1994 \| calgary \| 3 \| los angeles \| 3 \| (ot) \| phoenix \| az \| america west arena \| 14864 row 15 : february 2, 1994 \| washington \| 5 \| philadelphia \| 2 \| None \| cleveland \| oh \| richfield coliseum \| 8312 row 16 : february 8, 1994 \| san jose \| 4 \| chicago \| 3 \| None \| sacramento \| ca \| arco arena \| 14182 row 17 : february 22, 1994 \| florida \| 3 \| winnipeg \| 2 \| None \| hamilton \| on \| copps coliseum \| 6291 row 18 : february 24, 1994 \| detroit \| 3 \| hartford \| 0 \| None \| cleveland \| oh \| richfield coliseum \| 11621 row 19 : march 8, 1994 \| chicago \| 3 \| anaheim \| 0 \| None \| phoenix \| az \| america west arena \| 13847 row 20 : march 9, 1994 \| ny rangers \| 7 \| washington \| 5 \| None \| halifax \| ns \| halifax metro centre \| 9200 row 21 : march 18, 1994 \| buffalo \| 2 \| ny islanders \| 2 \| (ot) \| minneapolis \| mn \| target center \| 8016 ] Execute this SQL based on the above table: select date where state/province = 'oh'	january 6, 1994, february 2, 1994, february 24, 1994
[ header: \| landmark name \| location \| summary row 1 : 1 \| flagpole \| the flagpole was once located at 10 s \| flagpole erected in 1941 by del row 2 : 2 \| water pump station and water tower \| northeastern corner of the junction of innovation and \| None row 3 : 3 \| ammo bunker (s-1007) \| southwest of vosler dr. (formerly \| built by del e. webb construction row 4 : 4 \| ammo bunker (s-1008) \| southwest of vosler dr. (formerly \| also built by del e. webb row 5 : 5 \| civil engineering maintenance shop \| northeastern corner of unity ave. \| built by del e. webb construction row 6 : 6 \| demountable hangar \| located at the north apron of \| built in 1925 and designed by webb, de row 7 : 7 \| housing storage supply warehouse \| northwestern corner of the junction of innovation and unity \| built by del e. webb construction ] Execute this SQL based on the above table: select where landmark name = 'civil engineering maintenance shop'	5.0
[ header: year \| track \| number \| team \| car \| round result row 1 : 1996 \| pukekohe park raceway \| 1 \| holden racing team \| holden vr commodore \| 1st row 2 : 2001 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vx commodore \| 1st row 3 : 2002 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vx commodore \| 1st row 4 : 2003 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vy commodore \| 1st row 5 : 2004 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vy commodore \| 3rd row 6 : 2005 \| pukekohe park raceway \| 51 \| paul weel racing \| holden vz commodore \| 1st row 7 : 2006 \| pukekohe park raceway \| 51 \| paul weel racing \| holden vz commodore \| 15th row 8 : 2007 \| pukekohe park raceway \| 51 \| tasman motorsport \| holden ve commodore \| 11th row 9 : 2008 \| hamilton street circuit \| 51 \| tasman motorsport \| holden ve commodore \| 25th row 10 : 2009 \| hamilton street circuit \| 51 \| tasman motorsport \| holden ve commodore \| 22nd row 11 : 2010 \| hamilton street circuit \| 51 \| paul morris motorsport \| holden ve commodore \| 14th row 12 : 2011 \| hamilton street circuit \| 11 \| pepsi max crew \| holden ve commodore \| 24th row 13 : 2012 \| hamilton street circuit \| 51 \| pepsi max crew \| holden ve commodore \| 24th ] Execute this SQL based on the above table: select count ( team ) where year < ( select year where team = 'k-mart racing team' )	1
[ header: year \| single \| chart \| position row 1 : 1975 \| "sun goddess" \| black singles \| 20 row 2 : 1975 \| "sun goddess" \| disco singles \| 5 row 3 : 1975 \| "sun goddess" \| pop singles \| 44 row 4 : 1976 \| "can't hide love" \| black singles \| 11 row 5 : 1976 \| "can't hide love" \| pop singles \| 39 row 6 : 1976 \| "sing a song/gratitude" \| club play singles \| 1 row 7 : 1976 \| "sing a song" \| black singles \| 1 row 8 : 1976 \| "sing a song" \| pop singles \| 5 ] Execute this SQL based on the above table: select single where year = 1976	"can't hide love", "can't hide love", "sing a song/gratitude", "sing a song", "sing a song"
[ header: season \| record \| finish \| manager \| notes row 1 : 1956-57 \| 13-14 (1st half) 10-15 (2nd \| 2nd 4th \| lazaro salazar \| None row 2 : 1957-58 \| 22-19 \| 2nd \| daniel canonico \| lost 1st round series row 3 : 1958-59 \| 22-19 \| 2nd \| kerby farrell \| won 1st and 2nd playoff rounds championship row 4 : 1959-60 \| 14-14 \| None \| alberto hidalgo \| season suspended by players' strike row 5 : 1960-61 \| 29-23 \| 2nd \| alberto hidalgo ramon \| lost semifinal round row 6 : 1961-62 \| 29-22 \| 2nd \| daniel canonico \| lost championship series row 7 : 1962-63 \| 8-25 \| 4th \| chico carrasquel \| folded before the end of the season row 8 : 1963-64 \| 21-29 \| 4th \| george genovese \| None ] Execute this SQL based on the above table: select notes where manager > ( select manager where notes = 'folded before the end of the season' ) order by manager asc limit 1	lost 1st round series
[ header: year \| award \| category \| work \| result row 1 : 1992 \| 8th soap opera digest awards \| outstanding female newcomer: daytime \| the young and the restless \| nominated row 2 : 1994 \| 10th soap opera digest awards \| outstanding scene stealer \| the young and the restless \| won row 3 : 1994 \| 26th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 4 : 1995 \| 11th soap opera digest awards \| hottest female star \| the young and the restless \| nominated row 5 : 1996 \| 27th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 6 : 1996 \| 23rd daytime emmy awards \| outstanding supporting actress in a drama series \| the young and the restless \| nominated row 7 : 1997 \| 24th daytime emmy awards \| outstanding supporting actress in a drama series \| the young and the restless \| nominated row 8 : 1997 \| 28th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 9 : 1998 \| 25th daytime emmy awards \| outstanding supporting actress in a drama series \| the young and the restless \| nominated row 10 : 1998 \| 29th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 11 : 1999 \| 30th naacp image award \| outstanding actress in a daytime drama series \| diagnosis murder \| nominated row 12 : 1999 \| 30th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 13 : 2001 \| 31st naacp image \| outstanding actress in a daytime drama series \| the young and the restless \| won row 14 : 2003 \| 34th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 15 : 2003 \| 18th soap opera digest awards \| favorite return \| the young and the restless \| nominated row 16 : 2004 \| 35th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 17 : 2005 \| 19th soap opera digest awards \| outstanding actress in a supporting role \| the young and the restless \| nominated row 18 : 2005 \| 36th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 19 : 2006 \| 37th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won ] Execute this SQL based on the above table: select count ( award )	19
[ 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 ( employees ) where location <= 898	0

inputs stringlengths 291 3.71k	targets stringlengths 1 2.65k
[ header: # \| title \| songwriters \| producer(s) \| performer row 1 : 1 \| "shalom a leck" \| p. chapman, k-de \| k-def \| tragedy row 2 : 2 \| "hoodlum intro" \| None \| None \| interlude row 3 : 3 \| "underground" \| p. chapman, k-de \| k-def \| tragedy row 4 : 4 \| "funk mode" \| p. chapman, k-de \| k-def \| tragedy row 5 : 5 \| "grand groove" \| p. chapman, k-de \| k-def \| tragedy row 6 : 6 \| "at large" \| p. chapman, k-de \| k-def, marley marl \| tragedy row 7 : 7 \| "death row" \| p. chapman, k-de \| k-def, marley marl \| tragedy row 8 : 8 \| "speech [check the time]" \| None \| kool tee \| interlude row 9 : 9 \| "mad brothas know his name" \| p. chapman, k-de \| k-def, marley marl \| tragedy row 10 : 10 \| "pass the teck" \| p. chapman, k-de \| k-def \| tragedy, havoc row 11 : 11 \| "street life" \| p. chapman, epitome of \| epitome of scratch \| tragedy row 12 : 12 \| "pump the funk" \| p. chapman, m. will \| marley marl \| tragedy row 13 : 13 \| "role model" \| p. chapman, koo \| kool tee \| tragedy row 14 : 14 \| "the posse [shoot \| p. chapman, mr. \| mr. freaknasti \| tragedy row 15 : 15 \| "grand groove [bonus mix]" \| p. chapman, k-de \| k-def \| tragedy row 16 : 16 \| "funky roll outro" \| None \| None \| interlude ] Execute this SQL based on the above table: select performer order by # asc limit 1	tragedy
[ header: team \| competition \| category \| appearances start \| appearances sub \| goals \| team record row 1 : japan \| 2006 afc u-17 championship qualification \| u-15 \| 1 \| 0 \| 0 \| qualified row 2 : japan \| 2006 afc u-17 championship \| u-16 \| 4 \| 1 \| 4 \| champions row 3 : japan \| 2007 fifa u-17 world cup \| u-17 \| 1 \| 2 \| 2 \| round 1 row 4 : japan \| 2008 afc youth championship qualification \| u-18 \| 4 \| 0 \| 2 \| qualified row 5 : japan \| 2008 afc u-19 championship \| u-19 \| 1 \| 1 \| 0 \| quarterfinal row 6 : japan \| 2013 eaff east asian cup \| senior \| 2 \| 0 \| 3 \| champions ] Execute this SQL based on the above table: select team record where appearances start = 1	qualified, round 1, quarterfinal
[ header: name \| animal type \| introduced \| reintroduced \| retired \| beanie baby resembled row 1 : antlers \| moose \| None \| 1999 (neon) \| 1999 \| chocolate row 2 : baba \| lamb \| None \| 1999 (neon) \| 1999 \| fleece row 3 : bruiser \| bulldog \| 1997 \| None \| None \| wrinkles row 4 : carrots \| bunny \| None \| 1999 (neon) \| 1999 \| ears, but pink instead of brown row 5 : chewy \| None \| None \| 1999 (neon) \| 1999 \| None row 6 : clover \| bunny \| 1998 \| None \| None \| ears, but white instead of brown row 7 : foxy \| fox \| None \| None \| None \| sly row 8 : glide \| porpoise \| None \| None \| None \| echo the dolphin row 9 : huggy \| bear \| 1995 \| 1999 (neon) \| 1999 \| cubbie, but yellow instead of brown row 10 : meow \| cat \| 1997 \| 1999 (neon) \| 1999 \| snip row 11 : moo \| cow \| 1995 \| None \| None \| daisy, but with white body instead of row 12 : oink \| pig \| 1995 \| None \| None \| squealer row 13 : paddles \| platypus \| None \| 1999 (neon) \| 1999 \| patti row 14 : purr \| tiger \| None \| None \| None \| stripes, but yellow-orange instead of orange row 15 : red \| bull \| None \| None \| None \| snort row 16 : ribbit (all-green) \| frog \| 1995 \| 1999 (neon) \| 1999 \| legs row 17 : ribbit (green-yellow) \| frog \| None \| None \| None \| smoochy row 18 : sherbert \| tie-dye bear \| 1998 \| 1999 (neon) \| 1999 \| sammy row 19 : snap (all-yellow) \| turtle \| 1995 \| None \| None \| speedy, but yellow instead of green row 20 : snap (yellow-green) \| turtle \| None \| 1999 (neon) \| None \| peekaboo row 21 : snuggy \| bear \| 1995 \| None \| None \| cubbie, but pink instead of brown row 22 : sparkler \| bear \| None \| None \| 1999 \| spangle row 23 : speckles \| leopard \| None \| None \| None \| freckles row 24 : spotty \| dalmatian \| None \| None \| None \| dotty row 25 : squirt \| elephant \| None \| 1999 (neon) \| 1999 \| peanut row 26 : swinger \| monkey \| None \| 1999 (neon) \| 1999 \| bongo row 27 : tide \| whale \| None \| None \| None \| splash row 28 : tubby \| hippopotamus \| None \| None \| None \| happy row 29 : woof \| dog \| 1995 \| 1999 (neon) \| 1999 \| bones row 30 : zulu \| zebra \| None \| None \| None \| ziggy, but pink-green instead of black ] Execute this SQL based on the above table: select count ( name )	30
[ header: event \| record \| athlete(s) \| date \| time (s) row 1 : bobsleigh - two-man \| start \| beat hefti & thomas \| 6 february 2009 \| 4.7 row 2 : bobsleigh - two-man \| track \| thomas florschutz & \| 20 february 2010 21 february 2010 \| 51.57 row 3 : bobsleigh - four-man \| start \| andre lange, kevin kuske \| 26 february 2010 \| 4.7 row 4 : bobsleigh - four-man \| track \| steve holcomb, justin \| 26 february 2010 \| 50.86 row 5 : bobsleigh - two-woman \| start \| kaillie humphries \| 23 february 2010 24 february 2010 \| 5.11 row 6 : bobsleigh - two-woman \| track \| kaillie humphries \| 24 february 2010 \| 52.85 row 7 : men's skeleton \| start \| alexander tretiakov (rus \| 18 february 2010 \| 4.48 row 8 : men's skeleton \| track \| jon montgomery (can) \| 19 february 2010 \| 52.2 row 9 : women's skeleton \| start \| anja huber (ger) \| 18 february 2010 \| 4.9 row 10 : women's skeleton \| track \| amy williams (gbr \| 19 february 2010 \| 53.68 row 11 : luge - men's singles \| start \| andi langenhan (ger) \| 21 february 2009 \| 3.541 row 12 : luge - men's singles \| track \| felix loch (ger) \| 21 february 2009 \| 46.808 row 13 : luge - women's singles \| start \| natalie geisenberger (ger \| 20 february 2009 \| 7.183 row 14 : luge - women's singles \| track \| natalie geisenberger (ger \| 20 february 2009 \| 48.992 row 15 : luge - men's doubles \| start \| tobias wendl & tobia \| 20 february 2009 \| 7.054 row 16 : luge - men's doubles \| track \| patric leitner & alexander \| 20 february 2009 \| 48.608 ] Execute this SQL based on the above table: select count ( * ) where record is null	0
[ header: event \| meeting gaz de france paris \| golden gala rome \| bislett games oslo \| weltklasse zurich \| memorial van damme brussels \| istaf berlin row 1 : 100 m \| christine arron (fra \| christine arron (fra \| christine arron (fra \| veronica campbell (jam) 10. \| christine arron (fra \| christine arron (fra row 2 : 200 m \| None \| None \| None \| None \| cydonie mothersille ( \| None row 3 : 400 m \| tonique williams-darling ( \| sanya richards (usa \| None \| sanya richards (usa \| None \| None row 4 : 800 m \| svetlana cherkas \| hasna benhassi (mar) \| tatyana andrianova (rus) \| zulia calatayu \| mayte martinez (esp \| zulia calatayu row 5 : 1500 m \| olga yegorova \| mestawat tadesse \| None \| None \| None \| None row 6 : 3000 m / 5000 m \| edith masai (ken) 8:31 \| None \| maryam yusuf jamal \| maryam yusuf jamal \| None \| None row 7 : 3000 m / 5000 m \| None \| tirunesh dibaba (eth \| None \| None \| meseret defar (eth \| berhane adere (e row 8 : 100 m hurdles \| joanna hayes (usa) 12. \| anjanette kirkland (usa \| None \| michelle perry (usa) 12.55 \| None \| brigitte foster-hylton row 9 : 400 m hurdles \| lashinda demus (usa \| lashinda demus (usa \| sandra glover (usa) \| yuliya pechonkina \| lashinda demus (usa \| sandra glover (usa) row 10 : long jump \| None \| None \| None \| None \| tatyana kotova (rus) \| None row 11 : triple jump \| tatyana lebedeva (rus) \| tatyana lebedeva (rus) \| tatyana lebedeva (rus) \| tatyana lebedeva (rus) \| tatyana lebedeva (rus) \| tatyana lebedeva (rus) row 12 : high jump \| None \| None \| amy acuff (usa) \| None \| None \| None row 13 : pole vault \| None \| None \| None \| None \| yelena isinbayeva ( \| None row 14 : discus throw \| None \| None \| None \| None \| None \| natalya sadova (rus) 64 row 15 : shot put \| None \| None \| None \| None \| None \| nadine kleinert (ger) ] Execute this SQL based on the above table: select ( select count ( * ) where meeting gaz de france paris = 'lashinda demus (usa) 53.85' ) > 41	0
[ header: no. \| constituency \| winner candidate \| party \| votes \| margin row 1 : 6 \| rapar \| patel vaghajibhai \| bjp \| 55280 \| 9216 row 2 : 11 \| vadgam \| manilal jethabhai vaghe \| inc \| 90375 \| 21839 row 3 : 12 \| palanpur \| patel maheshkumar amrut \| inc \| 75097 \| 5284 row 4 : 16 \| radhanpur \| thakor nagarji \| bjp \| 69493 \| 3834 row 5 : 20 \| kheralu \| bharatsinhji da \| bjp \| 68195 \| 18386 row 6 : 33 \| prantij \| baraiya mahendrasin \| inc \| 76097 \| 7014 row 7 : 34 \| dehgam \| kaminiba rathod \| inc \| 61043 \| 2297 row 8 : 52 \| jamalpur-khadia \| bhatt bhushan ash \| bjp \| 48058 \| 6331 row 9 : 59 \| dhandhuka \| kolipatel lalji \| bjp \| 77573 \| 28277 row 10 : 65 \| morbi \| kantilal amrutiya \| bjp \| 77386 \| 2760 row 11 : 68 \| rajkot east \| rajguru indranil san \| inc \| 60877 \| 4272 row 12 : 82 \| dwarka \| pabubha virambha man \| bjp \| 70062 \| 5616 row 13 : 90 \| somnath \| barad jasabhai \| inc \| 56701 \| 2096 row 14 : 103 \| bhavnagar rural \| parshottam solanki \| bjp \| 83980 \| 18554 row 15 : 109 \| borsad \| parmar rajendrasinh d \| inc \| 83621 \| 21034 row 16 : 113 \| petlad \| niranjan patel \| inc \| 77312 \| 12192 row 17 : 117 \| mahemdabad \| gautambhai ravj \| inc \| 68767 \| 4181 row 18 : 119 \| thasra \| parmar ramsinh prab \| inc \| 78226 \| 5500 row 19 : 122 \| lunawada \| malivad kalubhai hirab \| bjp \| 72814 \| 3701 row 20 : 124 \| shehra \| ahir jethabhai ghe \| bjp \| 76468 \| 28725 row 21 : 126 \| godhra \| c. k. raul \| inc \| 73367 \| 2868 row 22 : 128 \| halol \| parmar jaydrathsinh \| bjp \| 93854 \| 33206 row 23 : 130 \| jhalod \| garasiya miteshbha \| inc \| 78077 \| 40073 row 24 : 134 \| devgadh baria \| bachu khabad \| bjp \| 113582 \| 83753 row 25 : 135 \| savli \| inamdar ketanbhai ma \| independent \| 62849 \| 20319 row 26 : 136 \| vaghodia \| shrivastav madhubhai bab \| bjp \| 65851 \| 5788 ] Execute this SQL based on the above table: select no. where party = 'inc' and winner candidate = 'patel maheshkumar amrutlal' intersect select no. where party = 'inc' and winner candidate = 'patel maheshkumar amrutlal'	12
[ header: pos. \| athlete \| run 1 \| run 2 \| total row 1 : 1 \| aronne pieruz \| 50.39 \| 58.25 \| 1:48.64 row 2 : 2 \| filip trejbal \| 50.68 \| 58.84 \| 1:49.52 row 3 : 3 \| adam cole \| 51.4 \| 58.51 \| 1:49.91 row 4 : 4 \| tague thorson \| 51.2 \| 59.13 \| 1:50.33 row 5 : 5 \| jan urfer \| 51.54 \| 59.1 \| 1:50.64 row 6 : 6 \| charles christianson \| 51.75 \| 58.91 \| 1:50.66 row 7 : 7 \| francesco ghedina \| 51.37 \| 59.39 \| 1:50.94 row 8 : 8 \| luca moretti \| 52.05 \| 58.89 \| 1:51.17 row 9 : 9 \| cameron barnes \| 51.66 \| 59.51 \| 1:51.37 row 10 : 10 \| martin vrablik \| 52.77 \| 58.6 \| 1:51.48 ] Execute this SQL based on the above table: select abs ( athlete - athlete ) where athlete = 'luca moretti'	0
[ header: number \| author \| first line \| notes row 1 : 1 \| william shakespeare \| "when my love swears that she is made \| first publication, later appears as sonnet 138 row 2 : 2 \| william shakespeare \| "two loves i have, of comfort and \| first publication, later appears as sonnet 144 row 3 : 3 \| william shakespeare \| "did not the heavenly rhetoric of thine \| a version of longaville's son row 4 : 4 \| None \| "sweet cytherea, sitting by \| on the theme of venus and adon row 5 : 5 \| william shakespeare \| "if love make me forsworn, how \| a version of berowne's row 6 : 6 \| None \| "scarce had the sun dried up the \| on the theme of venus and adon row 7 : 7 \| None \| "fair is my love, but not so fair \| in the same six-line stanza row 8 : 8 \| richard barnfield \| "if music and sweet poetry agree" \| first published in poems in diverse humours row 9 : 9 \| None \| "fair was the morn when the fair queen \| on the theme of venus and adon row 10 : 10 \| None \| "sweet rose, fair flower, untimely \| in the same six-line stanza row 11 : 11 \| bartholomew griffin \| "venus, with young adonis sitting \| printed in fidessa (1596). on row 12 : 12 \| thomas deloney? \| "crabbed age and youth cannot live together \| was reprinted with additional stanza row 13 : 13 \| None \| "beauty is but a va \| in the same six-line stanza row 14 : 14 \| None \| "good-night, good rest, a \| in the same six-line stanza row 15 : 15 \| None \| "it was a lording' \| None row 16 : 16 \| william shakespeare \| "on a day (alack the day \| dumaine's poem to catherine row 17 : 18 \| None \| "when as thine eye hath chose \| three versions of the poem exist in manuscript miscell row 18 : 20 \| richard barnfield \| "as it fell upon a day" \| first published in poems in divers humors (1598 ] Execute this SQL based on the above table: select number order by author asc limit 1	4
[ header: player \| hr \| date reached 500 hr \| team \| seasons played row 1 : barry bonds \| 762 \| april 17, 2001 \| san francisco giants \| 1986-2007 row 2 : hank aaron \| 755 \| july 14, 1968 \| atlanta braves \| 1954-1976 row 3 : babe ruth \| 714 \| august 11, 1929 \| new york yankees \| 1914-1935 row 4 : willie mays \| 660 \| september 13, 1965 \| san francisco giants \| 1951-1952, 1954-1973 row 5 : alex rodriguez \| 654 \| august 4, 2007 \| new york yankees \| 1994- row 6 : ken griffey, jr \| 630 \| june 20, 2004 \| cincinnati reds \| 1989-2010 row 7 : jim thome \| 612 \| september 16, 2007 \| chicago white sox \| 1991-2012 row 8 : sammy sosa \| 609 \| april 4, 2003 \| chicago cubs \| 1989-2005, 2007 row 9 : frank robinson \| 586 \| september 13, 1971 \| baltimore orioles \| 1956-1976 row 10 : mark mcgwire \| 583 \| august 5, 1999 \| st. louis cardinals \| 1986-2001 row 11 : harmon killebrew \| 573 \| august 10, 1971 \| minnesota twins \| 1954-1975 row 12 : rafael palmeiro \| 569 \| may 11, 2003 \| texas rangers \| 1986-2005 row 13 : reggie jackson \| 563 \| september 17, 1984 \| california angels \| 1967-1987 row 14 : manny ramirez \| 555 \| may 31, 2008 \| boston red sox \| 1993-2011 row 15 : mike schmidt \| 548 \| april 18, 1987 \| philadelphia phillies \| 1972-1989 row 16 : mickey mantle \| 536 \| may 14, 1967 \| new york yankees \| 1951-1968 row 17 : jimmie foxx \| 534 \| september 24, 1940 \| boston red sox \| 1925-1942, 1944-1945 row 18 : ted williams \| 521 \| june 17, 1960 \| boston red sox \| 1939-1942, 1946-1960 row 19 : willie mccovey \| 521 \| june 30, 1978 \| san francisco giants \| 1959-1980 row 20 : frank thomas \| 521 \| june 28, 2007 \| toronto blue jays \| 1990-2008 row 21 : ernie banks \| 512 \| may 12, 1970 \| chicago cubs \| 1953-1971 row 22 : eddie mathews \| 512 \| july 14, 1967 \| houston astros \| 1952-1968 row 23 : mel ott \| 511 \| august 1, 1945 \| new york giants \| 1926-1947 row 24 : gary sheffield \| 509 \| april 17, 2009 \| new york mets \| 1988-2009 row 25 : eddie murray \| 504 \| september 6, 1996 \| baltimore orioles \| 1977-1997 ] Execute this SQL based on the above table: select count ( * ) where date reached 500 hr in ( 'jimmie foxx' , 'september 13, 1971' )	1
[ header: year \| title \| role \| notes row 1 : 2006 \| save the last dance 2 \| mixx \| direct to video row 2 : 2007 \| nick cannon/wild 'n \| himself \| improv comedy row 3 : 2007 \| stomp the yard \| rich brown \| film row 4 : 2011 \| csi: ny \| the hitman \| episode 7.14 "smooth criminal" row 5 : 2011 \| the fresh beat band \| himself \| special episode "band in a jam" row 6 : 2011 \| battle: los angeles \| specks \| film row 7 : 2012 \| empire girls: julissa \| himself \| reality-show row 8 : 2012 \| red tails \| andrew 'smoky' \| film row 9 : 2012 \| i heart tuesdays \| none \| (tv), creator row 10 : 2012 \| the x factor \| guest mentor \| None row 11 : 2012 \| never mind the buzzcocks \| guest host \| None row 12 : 2012 \| 90210 \| guest star \| None ] Execute this SQL based on the above table: select count ( year ) where year > 636	12
[ header: year \| date \| winner \| make \| pole \| make \| results row 1 : 1970 \| october 4 \| dave sorg \| mercury \| ron north \| oldsmobile \| report row 2 : 1971 \| october 3 \| denny miles \| chevrolet \| les snow \| plymouth \| report row 3 : 1972 \| october 1 \| dave sorg \| chevrolet \| larry moore \| chevrolet \| report row 4 : 1975 \| september 28 \| bob senneker \| chevrolet \| larry moore \| chevrolet \| report row 5 : 1976 \| october 4 \| bob senneker \| chevrolet \| bob senneker \| chevrolet \| report row 6 : 1977 \| october 2 \| bob senneker \| chevrolet \| bob senneker \| chevrolet \| report row 7 : 1980 \| october 5 \| terry senneker \| chevrolet \| mark martin \| chevrolet \| report row 8 : 1983 \| october 2 \| mike eddy \| pontiac \| dick trickle \| pontiac \| report row 9 : 1985 \| september 29 \| mark martin \| ford \| mark martin \| ford \| report row 10 : 1986 \| october 5 \| mark martin \| ford \| mark martin \| pontiac \| report row 11 : 1989 \| october 1 \| butch miller \| chevrolet \| kenny wallace \| pontiac \| report row 12 : 1990 \| september 30 \| bob senneker \| chevrolet \| dave jackson \| chevrolet \| report row 13 : 1992 \| october 4 \| tim steele \| chevrolet \| mike garvey \| ford \| report row 14 : 1993 \| october 3 \| mike cope \| oldsmobile \| hal goodson \| ford \| report row 15 : 1995 \| october 1 \| mike cope \| chevrolet \| ron barfield, jr \| ford \| report row 16 : 1999 \| september 26 \| brian ross \| chevrolet \| matt hagans \| ford \| report row 17 : 2000 \| october 1 \| gary st. amant \| chevrolet \| larry foyt \| pontiac \| report row 18 : 2001 \| september 23 \| joey clanton \| chevrolet \| david stremme \| ford \| report row 19 : 2002 \| october 6 \| gary st. amant \| chevrolet \| david stremme \| chevrolet \| report row 20 : 2003 \| october 5 \| bobby parsley \| chevrolet \| dave jackson \| chevrolet \| report row 21 : 2004 \| None \| None \| None \| None \| None \| None row 22 : 2005 \| None \| None \| None \| None \| None \| None row 23 : 2006 \| october 15 \| scott hantz \| chevrolet \| danny jackson \| None \| report row 24 : 2008 \| october 12 \| david stremme \| dodge \| chris gabehart \| None \| report row 25 : 2009 \| october 18 \| kyle busch \| toyota \| chris gabehart \| None \| report row 26 : 2010 \| october 17 \| chase elliott \| ford \| johnny vandoorn \| None \| report row 27 : 2012 \| october 14 \| ross kenseth \| ford \| rick turner \| ford \| report row 28 : 2013 \| october 13 \| erik jones \| toyota \| chase elliott \| chevrolet \| report ] Execute this SQL based on the above table: select winner group by winner order by count ( * ) desc limit 1	bob senneker
[ header: rank \| athlete \| country \| time \| behind \| points row 1 : 1 \| sven kramer \| netherlands \| 01:53.98 \| 0 \| 37.993 row 2 : 2 \| sverre lunde peder \| norway \| 1:54.87 \| 0.89 \| 38.29 row 3 : 3 \| jan blokhuijsen \| netherlands \| 1:54.93 \| 0.95 \| 38.31 row 4 : 4 \| denis yuskov \| russia \| 1:55.13 \| 1.15 \| 38.376 row 5 : 5 \| koen verweij \| netherlands \| 1:55.42 \| 1.44 \| 38.473 row 6 : 6 \| haralds silovs \| latvia \| 1:55.48 \| 1.5 \| 38.493 row 7 : 7 \| zbigniew brodka \| poland \| 1:55.98 \| 2 \| 38.66 row 8 : 8 \| bart swings \| belgium \| 1:56.08 \| 2.1 \| 38.693 row 9 : 9 \| havard bøkko \| norway \| 1:56.35 \| 2.37 \| 38.783 row 10 : 10 \| jan szymanski \| poland \| 1:56.55 \| 2.57 \| 38.85 row 11 : 11 \| bram smallenbroek \| austria \| 1:57.44 \| 3.46 \| 39.146 row 12 : 12 \| alexis contin \| france \| 1:57.58 \| 3.6 \| 39.193 row 13 : 13 \| benjamin mace \| france \| 1:57.80 \| 3.82 \| 39.266 row 14 : 14 \| konrad niedzwiedzki \| poland \| 1:57.92 \| 3.94 \| 39.306 row 15 : 15 \| sergey gryaztso \| russia \| 1:58.73 \| 4.75 \| 39.576 row 16 : 16 \| patrick beckert \| germany \| 1:59.08 \| 5.1 \| 39.693 row 17 : 17 \| kristian reistad \| norway \| 1:59.19 \| 5.21 \| 39.73 row 18 : 18 \| luca stefani \| italy \| 1:59.82 \| 5.84 \| 39.94 row 19 : 19 \| marco cignini \| italy \| 1:59.97 \| 5.99 \| 39.99 row 20 : 20 \| ferre spruyt \| belgium \| 2:00.00 \| 6.02 \| 40 row 21 : 21 \| vitaly mikhailov \| belarus \| 2:00.75 \| 6.77 \| 40.52 row 22 : 22 \| milan sablik \| czech republic \| 2:00.95 \| 6.97 \| 40.316 row 23 : 23 \| ted jan bloemen \| netherlands \| 2:01.58 \| 7.6 \| 40.526 row 24 : 24 \| moritz geisreiter \| germany \| 2:01.64 \| 7.66 \| 40.566 ] Execute this SQL based on the above table: select time where athlete = 'patrick beckert'	1
[ header: draw \| artist \| song \| points \| place row 1 : 1 \| mystique \| "rendez-vous" \| 25 \| 8 row 2 : 2 \| vulcano \| "met jou d'rbi \| 27 \| 5 row 3 : 3 \| bernadette \| "soms" \| 26 \| 6= row 4 : 4 \| deuce \| "computer games" \| 26 \| 6= row 5 : 5 \| music hall \| "stop die show" \| 54 \| 3 row 6 : 6 \| mystique \| "op zo'n dag \| 8 \| 10 row 7 : 7 \| bernadette \| "sing me a song" \| 69 \| 1 row 8 : 8 \| vulcano \| "een beetje van dit \| 68 \| 2 row 9 : 9 \| deuce \| "stopwatch" \| 20 \| 9 row 10 : 10 \| music hall \| "voulez-vous danser" \| 37 \| 4 ] Execute this SQL based on the above table: select place where draw = 8 and song = '"een beetje van dit"'	2
[ header: year \| team \| games \| carries \| yards \| yards per carry \| longest carry \| touchdowns \| first downs \| fumbles \| fumbles lost row 1 : 2002 \| gb \| 8 \| 39 \| 184 \| 4.7 \| 43 \| 1 \| 8 \| 1 \| 1 row 2 : 2003 \| gb \| 15 \| 77 \| 420 \| 5.5 \| 76 \| 2 \| 18 \| 4 \| 1 row 3 : 2004 \| gb \| 11 \| 71 \| 359 \| 5.1 \| 40 \| 2 \| 16 \| 0 \| 0 row 4 : 2005 \| gb \| 5 \| 30 \| 105 \| 3.5 \| 24 \| 2 \| 9 \| 1 \| 0 row 5 : 2006 \| pit \| 13 \| 60 \| 221 \| 3.7 \| 48 \| 1 \| 9 \| 1 \| 0 row 6 : 2007 \| pit \| 15 \| 107 \| 499 \| 4.7 \| 45 \| 5 \| 37 \| 1 \| 0 row 7 : 2008 \| pit \| 4 \| 2 \| 5 \| 2.5 \| 3 \| 0 \| 2 \| 0 \| 0 row 8 : 2008 \| ind \| 2 \| 8 \| 26 \| 3.3 \| 8 \| 0 \| 1 \| 0 \| 0 row 9 : career \| None \| 73 \| 394 \| 1819 \| 4.6 \| 76 \| 13 \| 100 \| 8 \| 2 ] Execute this SQL based on the above table: select avg ( touchdowns ) where team in ( 'pit' , 'None' )	2.0
[ header: name \| gender \| age \| from \| occupation \| prize money (usd) \| status row 1 : trisha \| female \| 28 \| santa monica, ca \| artist \| $26,000 \| winner row 2 : london \| male \| 46 \| mt. holly, n \| us coast guard (retired) \| $0 \| lost row 3 : adria \| female \| 25 \| seattle, wa \| bartender \| $0 \| 7th captured (by ricky ort row 4 : lucas \| male \| 32 \| carlsbad, ca \| student \| $0 \| 6th captured (by kim) row 5 : andrew \| male \| 21 \| redondo beach, ca \| student / lifeguard \| $0 \| 5th captured (by kim) row 6 : tracy \| female \| 30 \| mililani, hi \| student \| $0 \| 4th captured (by grant) row 7 : lynda \| female \| 59 \| los angeles, ca \| general contractor \| $0 \| 3rd captured (by icey) row 8 : darin \| male \| 46 \| fontana, ca \| sports official \| $0 \| 2nd captured (by wong) row 9 : evan \| male \| 29 \| long island, ny \| teacher \| $2,000 \| opted out row 10 : ameenah \| female \| 34 \| atlanta, ga \| drummer \| $0 \| 1st captured (by grant) ] Execute this SQL based on the above table: select occupation where age >= 46	us coast guard (retired), general contractor, sports official
[ header: released \| title \| label \| number \| notes row 1 : 1995 \| le jazz hot \| modern hot records \| mhr 001 \| None row 2 : 1997 \| new metropolitan swing \| modern hot records \| mhr 002 \| None row 3 : january 1999 \| mystery pacific \| modern hot records \| mhr 003 \| None row 4 : may 1999 \| souvenirs \| modern hot records \| mhr 004 \| None row 5 : october 2000 \| avalon \| modern hot records \| mhr 005 \| None row 6 : may 2002 \| under paris skies \| modern hot records \| mhr 006 \| None row 7 : october 2003 \| swing 48 \| modern hot records \| mhr 008 \| None row 8 : june 2005 \| chasing shadows \| modern hot records \| mhr 009 \| None row 9 : june 2007 \| modern times \| modern hot records \| mhr 011 \| None row 10 : june 2010 \| hotel new yorker \| modern hot records \| mhr 014 \| compilation from 1995-1999 releases row 11 : june 15, 2010 \| systeme d \| modern hot records \| mhr 015 \| None row 12 : april 18, 2012 \| "eleven" \| modern hot records \| mhr 017 \| None ] Execute this SQL based on the above table: select notes group by notes order by count ( notes ) desc limit 1	compilation from 1995-1999 releases
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 5 \| jim clark \| lotus-ford \| 80 \| 1:59:25.6 \| 1 \| 9 row 2 : 2 \| 2 \| denny hulme \| brabham-repco \| 80 \| + 12.8 \| 4 \| 6 row 3 : 3 \| 8 \| chris amon \| ferrari \| 80 \| + 16.6 \| 6 \| 4 row 4 : 4 \| 1 \| jack brabham \| brabham-repco \| 80 \| + 21.8 \| 3 \| 3 row 5 : 5 \| 12 \| pedro rodriguez \| cooper-maserati \| 79 \| + 1 lap \| 9 \| 2 row 6 : 6 \| 7 \| john surtees \| honda \| 78 \| + 2 laps \| 7 \| 1 row 7 : 7 \| 15 \| chris irwin \| brm \| 77 \| + 3 laps \| 13 \| None row 8 : 8 \| 20 \| david hobbs \| brm \| 77 \| + 3 laps \| 14 \| None row 9 : 9 \| 14 \| alan rees \| cooper-maserati \| 76 \| + 4 laps \| 15 \| None row 10 : 10 \| 18 \| guy ligier \| brabham-repco \| 76 \| + 4 laps \| 21 \| None row 11 : ret \| 19 \| bob anderson \| brabham-climax \| 67 \| engine \| 17 \| None row 12 : ret \| 6 \| graham hill \| lotus-ford \| 64 \| engine \| 2 \| None row 13 : ret \| 4 \| mike spence \| brm \| 44 \| ignition \| 11 \| None row 14 : ret \| 9 \| dan gurney \| eagle-weslake \| 34 \| clutch \| 5 \| None row 15 : ret \| 22 \| silvio moser \| cooper-ats \| 29 \| oil pressure \| 20 \| None row 16 : ret \| 11 \| jochen rindt \| cooper-maserati \| 26 \| engine \| 8 \| None row 17 : ret \| 3 \| jackie stewart \| brm \| 20 \| transmission \| 12 \| None row 18 : ret \| 10 \| bruce mclaren \| eagle-weslake \| 14 \| engine \| 10 \| None row 19 : ret \| 17 \| jo siffert \| cooper-maserati \| 10 \| engine \| 18 \| None row 20 : ret \| 23 \| jo bonnier \| cooper-maserati \| 0 \| engine \| 9 \| None row 21 : dns \| 16 \| piers courage \| brm \| 0 \| non starter \| None \| None ] Execute this SQL based on the above table: select time/retired group by time/retired having count ( * ) = 2	1.0, 3.0, 4.0
[ header: week \| date \| opponent \| results final score \| results team record \| venue \| attendance row 1 : 1 \| september 20 \| at detroit lions \| w 16-13 \| 1-0 \| tiger stadium \| 54,418 row 2 : 2 \| september 26 \| chicago bears \| l 20-17 \| 1-1 \| metropolitan stadium \| 47,900 row 3 : 3 \| october 3 \| buffalo bills \| w 19-0 \| 2-1 \| metropolitan stadium \| 47,900 row 4 : 4 \| october 10 \| at philadelphia eagle \| w 13-0 \| 3-1 \| veterans stadium \| 65,358 row 5 : 5 \| october 17 \| at green bay packers \| w 24-13 \| 4-1 \| lambeau field \| 56,263 row 6 : 6 \| october 25 \| baltimore colts \| w 10-3 \| 5-1 \| metropolitan stadium \| 49,784 row 7 : 7 \| october 31 \| at new york giants \| w 17-10 \| 6-1 \| yankee stadium \| 62,829 row 8 : 8 \| november 7 \| san francisco 49ers \| l 13-9 \| 6-2 \| metropolitan stadium \| 49,784 row 9 : 9 \| november 14 \| green bay packers \| w 3-0 \| 7-2 \| metropolitan stadium \| 49,784 row 10 : 10 \| november 21 \| at new orleans saints \| w 23-10 \| 8-2 \| tulane stadium \| 83,130 row 11 : 11 \| november 28 \| atlanta falcons \| w 24-7 \| 9-2 \| metropolitan stadium \| 49,784 row 12 : 12 \| december 5 \| at san diego chargers \| l 30-14 \| 9-3 \| san diego stadium \| 54,505 row 13 : 13 \| december 11 \| detroit lions \| w 29-10 \| 10-3 \| metropolitan stadium \| 49,784 row 14 : 14 \| december 19 \| at chicago bears \| w 27-10 \| 11-3 \| soldier field \| 55,049 ] Execute this SQL based on the above table: select venue where venue = 'metropolitan stadium' and week = 2	metropolitan stadium
[ header: creature (other planes) \| page \| other appearances \| variants \| description row 1 : aerial servant \| 39 \| rules cyclopedia (1991) \| None \| None row 2 : basilisk \| 39 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 3 : cockatrice \| 39 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 4 : djinni, lesser \| 39 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 5 : djinni, greater \| 39 \| rules cyclopedia (1991) \| None \| None row 6 : efreeti, lesser \| 39 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 7 : efreeti, greater \| 39-40 \| rules cyclopedia (1991) \| None \| None row 8 : elemental \| 40 \| d&d expert rules (1981), \| None \| describes additional statistics and abilities/penalties applicable row 9 : gorgon \| 40 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 10 : helion \| 40 \| rules cyclopedia (1991) \| None \| None row 11 : horde \| 41 \| rules cyclopedia (1991) \| None \| None row 12 : hydrax \| 41 \| rules cyclopedia (1991) \| None \| None row 13 : invisible stalker \| 41 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 14 : kryst \| 42 \| rules cyclopedia (1991) \| None \| None row 15 : medusa \| 42 \| d&d basic rules (1981), \| None \| describes additional abilities/penalties applicable to native row 16 : plasm \| 42 \| rules cyclopedia (1991) \| normal and giant \| None row 17 : salamander \| 42 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 18 : undine \| 42 \| rules cyclopedia (1991) \| None \| None ] Execute this SQL based on the above table: select count ( * ) where creature (other planes) > 530	18
[ header: # \| date \| opponent \| score \| win \| loss \| save \| attendance \| record row 1 : 107 \| august 3 \| red sox \| 7 - 4 \| green (5-1) \| timlin (1-1) \| putz (32) \| 46235 \| 60-47 row 2 : 110 \| august 7 \| @ orioles \| 10 - 3 \| weaver (3-10) \| walker (1-2) \| None \| 25060 \| 61-49 row 3 : 111 \| august 8 \| @ orioles \| 8 - 4 \| hernandez (8-6) \| guthrie (7-4) \| putz (33) \| 17511 \| 62-49 row 4 : 112 \| august 9 \| @ orioles \| 13 - 8 \| ramirez (7-3) \| cabrera (8-12) \| sherrill (1) \| 18679 \| 63-49 row 5 : 113 \| august 10 \| @ white sox \| 5 - 3 \| vazquez (10-6) \| washburn (8-9) \| jenks (33) \| 38586 \| 63-50 row 6 : 114 \| august 11 \| @ white sox \| 7 - 6 \| batista (12-8) \| floyd (1-2) \| putz (34) \| 38210 \| 64-50 row 7 : 115 \| august 12 \| @ white sox \| 6 - 0 \| weaver (4-10) \| danks (6-10) \| None \| 36629 \| 65-50 row 8 : 117 \| august 14 \| twins \| 11 - 3 \| garza () \| ramirez (7-4) \| None \| 33729 \| 66-51 row 9 : 118 \| august 15 \| twins \| 6 - 1 \| neshek (7-2) \| washburn (8-10) \| None \| 42921 \| 66-52 row 10 : 119 \| august 17 \| white sox \| 5 - 4 \| batista (13-8) \| contreras (6-15) \| putz (35) \| 46170 \| 67-52 row 11 : 120 \| august 18 \| white sox \| 7 - 5 \| weaver (5-10) \| danks (6-11) \| putz (36) \| 41121 \| 68-52 row 12 : 121 \| august 19 \| white sox \| 11 - 5 \| hernandez (9-6) \| garland (8-9) \| None \| 45668 \| 69-52 row 13 : 122 \| august 20 \| @ twins \| 9 - 4 \| ramirez (8-4) \| garza (2-4) \| None \| 31755 \| 70-52 row 14 : 123 \| august 21 \| @ twins \| 7 - 2 \| washburn (9-10) \| baker (6-6) \| None \| 42373 \| 71-52 row 15 : 124 \| august 22 \| @ twins \| 8 - 4 \| silva (10-12) \| batista (13-9) \| None \| 29881 \| 71-53 row 16 : 125 \| august 23 \| @ rangers \| 9 - 4 \| weaver (6-10) \| loe (6-10) \| None \| 26963 \| 72-53 row 17 : 127 \| august 25 \| @ rangers \| 5 - 3 \| benoit (7-3) \| white (1-1) \| wilson (8) \| 47977 \| 73-54 row 18 : 128 \| august 26 \| @ rangers \| 5 - 3 \| padilla (4-9) \| washburn (9-11) \| None \| 25437 \| 73-55 row 19 : 129 \| august 27 \| angels \| 6 - 0 \| lackey (16-8) \| batista (13-10) \| None \| 45998 \| 73-56 row 20 : 130 \| august 28 \| angels \| 10 - 6 \| speier (2-3) \| morrow (3-3) \| None \| 44395 \| 73-57 row 21 : 131 \| august 29 \| angels \| 8 - 2 \| weaver (10-6) \| hernandez (10-7) \| None \| 46047 \| 73-58 row 22 : 132 \| august 30 \| @ indians \| 6 - 5 \| borowski (3-5) \| o'flaherty (7- \| None \| 25949 \| 73-59 ] Execute this SQL based on the above table: select attendance where attendance > 1948 order by attendance asc limit 1	17511
[ header: score \| 2007 \| 2008 \| 2009 \| 2010 \| 2011 \| 2012 \| 2013 row 1 : 5 \| 15.3% \| 18.4% \| 18.0% \| 17.1% \| 17.0% \| 16.4% \| 18.9% row 2 : 4 \| 18.0% \| 17.5% \| 17.9% \| 18.5% \| 18.4% \| 19.3% \| 21.5% row 3 : 3 \| 23.0% \| 20.0% \| 20.2% \| 19.3% \| 19.5% \| 20.1% \| 18.8% row 4 : 2 \| 18.5% \| 14.3% \| 14.2% \| 12.7% \| 14.6% \| 15.0% \| 14.9% row 5 : 1 \| 25.3% \| 29.9% \| 29.8% \| 32.3% \| 30.4% \| 29.2% \| 26.0% row 6 : mean \| 2.79 \| 2.8 \| 2.8 \| 2.76 \| 2.77 \| 2.79 \| 2.92 row 7 : number of students \| 97136 \| 100586 \| 104789 \| 115077 \| 122651 \| 132425 \| 140006 ] Execute this SQL based on the above table: select 2007 where 2007 in ( '23.0%' , '23.0%' ) group by 2007 order by count ( * ) desc limit 1	23.0%
[ header: rnd \| date \| location \| laps \| distance \| time \| speed (km/h) \| winner \| pole position \| most leading laps \| fastest race lap row 1 : 1 \| january 24 \| walt disney world speedway, flori \| 200 \| 200 mi (320 km) \| 2'06:04.000 \| 153.186 \| tony stewart \| tony stewart \| tony stewart \| kenny brack row 2 : 2 \| march 22 \| phoenix international raceway, ari \| 200 \| 200 mi (320 km) \| 2'02:18.735 \| 157.888 \| scott sharp \| jeff ward \| tony stewart \| tony stewart row 3 : 3 \| may 24 \| indianapolis motor speedway, indian \| 200 \| 500 mi (800 km) \| 3'26:40.524 \| 233.598 \| eddie cheever \| billy boat \| eddie cheever \| tony stewart row 4 : 4 \| june 6 \| texas motor speedway, tex \| 208 \| 312 mi (502 km) \| 2'08:45.543 \| 233.973 \| billy boat \| tony stewart \| billy boat \| tony stewart row 5 : 5 \| june 28 \| new hampshire international speedway, new \| 200 \| 211.6 mi (340.5 km) \| 1'51:30.262 \| 183.237 \| tony stewart \| billy boat \| tony stewart \| davey hamilton row 6 : 6 \| july 19 \| dover international speedway, delaware \| 248 \| 248 mi (399 km) \| 2'29:49.262 \| 159.833 \| scott sharp \| tony stewart \| scott sharp \| greg ray row 7 : 7 \| july 25 \| lowe's motor speedway, north car \| 208 \| 312 mi (502 km) \| 1'58:10.555 \| 254.926 \| kenny brack \| tony stewart \| kenny brack \| kenny brack row 8 : 8 \| august 16 \| pikes peak international raceway, colorad \| 200 \| 200 mi (320 km) \| 1'29:52.649 \| 214.866 \| kenny brack \| billy boat \| jeff ward \| jeff ward row 9 : 9 \| august 29 \| atlanta motor speedway, georgi \| 200 \| 312 mi (502 km) \| 2'17:15.289 \| 225.343 \| kenny brack \| billy boat \| scott goodyear \| billy boat row 10 : 10 \| september 20 \| texas motor speedway, tex \| 208 \| 312 mi (502 km) \| 2'21:53.557 \| 212.316 \| john paul, jr \| billy boat \| tony stewart \| jeff ward row 11 : 11 \| october 11 \| las vegas motor speedway, \| 208 \| 312 mi (502 km) \| 2'18:19.202 \| 217.8 \| arie luyendyk \| billy boat \| arie luyendyk \| arie luyendyk ] Execute this SQL based on the above table: select location where id = ( select id where fastest race lap = 'kenny brack' ) + 1	phoenix international raceway, arizona
[ header: publication \| score \| review row 1 : 1up.com \| b \| → row 2 : weekly famitsu \| 36 of 40 \| print row 3 : gamepro.com \| 6.5 of 10 \| → row 4 : gamespot \| 7.5 of 10 \| → row 5 : hardcore gamer magazine \| 9.5 of 10 \| print row 6 : ign.com \| 7.9 of 10 \| → row 7 : nintendo power \| 8 of 10 \| print row 8 : play magazine \| 7 of 10 \| print row 9 : metacritic \| 76 of 100 \| → ] Execute this SQL based on the above table: select review where publication = 'gamepro.com'	→
[ header: name \| rural municipality (rm) \| population (2011) \| population (2006) \| change (%) \| land area (km2) \| population density (per km2) row 1 : assiniboia \| lake of the rivers no. 72 \| 2418 \| 2305 \| 4.9 \| 3.78 \| 639.8 row 2 : bengough \| bengough no. 40 \| 313 \| 337 \| -7.1 \| 1.07 \| 292 row 3 : bienfait \| coalfields no. 4 \| 780 \| 748 \| 4.3 \| 3.09 \| 252.4 row 4 : big river \| big river no. 555 \| 639 \| 728 \| -12.2 \| 2.51 \| 255 row 5 : birch hills \| birch hills no. 460 \| 1064 \| 935 \| 13.8 \| 2.27 \| 468.4 row 6 : broadview \| elcapo no. 154 \| 574 \| 611 \| -6.1 \| 2.45 \| 233.8 row 7 : bruno \| bayne no. 371 \| 574 \| 495 \| 16 \| 0.95 \| 606.1 row 8 : churchbridge \| churchbridge no. 211 \| 743 \| 704 \| 5.5 \| 2.76 \| 269.2 row 9 : craik \| craik no. 222 \| 453 \| 408 \| 11 \| 3.02 \| 150 row 10 : govan \| last mountain valley no. 250 \| 216 \| 232 \| -6.9 \| 1.35 \| 159.7 row 11 : kindersley \| kindersley no. 290 \| 4678 \| 4412 \| 6 \| 12.55 \| 372.8 row 12 : kipling \| kingsley no. 124 \| 1051 \| 973 \| 8 \| 2.15 \| 487.9 row 13 : lampman \| browning no. 34 \| 713 \| 634 \| 12.5 \| 2.23 \| 319.9 row 14 : leader \| happyland no. 231 \| 821 \| 881 \| -6.8 \| 1.71 \| 481.2 row 15 : lemberg \| abernethy no. 186 \| 274 \| 255 \| 7.5 \| 2.67 \| 102.7 row 16 : lumsden \| lumsden no. 189 \| 1631 \| 1523 \| 7.1 \| 4.06 \| 402 row 17 : maple creek \| maple creek no. 111 \| 2176 \| 2198 \| -1 \| 4.42 \| 492.1 row 18 : milestone \| brock no. 64 \| 618 \| 562 \| 10 \| 2.17 \| 284.4 row 19 : morse \| morse no. 165 \| 240 \| 236 \| 1.7 \| 1.45 \| 165.7 row 20 : naicam \| pleasantdale no. 398 \| 686 \| 690 \| -0.6 \| 1.69 \| 405.5 row 21 : nipawin \| nipawin no. 487 \| 4265 \| 4076 \| 4.6 \| 8.71 \| 489.4 row 22 : osler \| corman park no. 344 \| 1088 \| 926 \| 17.5 \| 1.55 \| 700.6 row 23 : pilot butte \| mcleod no. 185 \| 1848 \| 1872 \| -1.3 \| 5.05 \| 365.6 row 24 : porcupine plain \| porcupine no. 395 \| 855 \| 783 \| 9.2 \| 2.27 \| 377.2 row 25 : preeceville \| preeceville no. 334 \| 1070 \| 1050 \| 1.9 \| 3.06 \| 350.2 row 26 : rouleau \| redburn no. 130 \| 453 \| 400 \| 13.3 \| 1.61 \| 282.2 row 27 : shaunavon \| grassy creek no. 78 \| 1756 \| 1691 \| 3.8 \| 5.1 \| 344.2 row 28 : springside \| st. philips no. \| 534 \| 513 \| 4.1 \| 0.68 \| 791 row 29 : star city \| star city no. 428 \| 460 \| 428 \| 7.5 \| 0.7 \| 661.1 row 30 : strasbourg \| mckillop no. 220 \| 752 \| 732 \| 2.7 \| 5.7 \| 132 ] Execute this SQL based on the above table: select rural municipality (rm) where id = ( select id where rural municipality (rm) = 'coalfields no. 4' ) + 1	big river no. 555
[ header: year \| representative \| hometown \| placement in miss nepal \| special awards at miss nepal \| placement in miss pokhara row 1 : 1995 \| rita gurung \| pamee \| 1st runner up \| None \| winner row 2 : 1996 \| binita gurung \| batulichor \| 2nd runner up \| None \| winner row 3 : 1997 \| neelima gurung \| nadipur \| winner \| miss personality \| winner row 4 : 1998 \| sunita ranjit \| lakeside \| None \| None \| winner row 5 : 1999 \| kripa gurung \| tersapatti \| 2nd runner up \| miss photogenic \| winner row 6 : 2004 \| anita gurung \| bajapatan \| 2nd runner up \| miss talent \| miss paschimanchal 2003 row 7 : 2005 \| chandra gurung \| ghorepatan \| None \| None \| None row 8 : 2011 \| madina begum \| pokreli \| None \| miss perseverance \| None row 9 : 2012 \| dilasha gc \| chindata \| None \| None \| None row 10 : 2013 \| sipora gurung \| mahendrapool \| 3rd runner up \| miss talent \| None row 11 : 2014 \| rashmi adhikari \| goripatan \| None \| None \| winner ] Execute this SQL based on the above table: select count ( * ) where special awards at miss nepal = 'miss talent'	2
[ header: rank \| athlete \| nationality \| time row 1 : None \| moses tanui \| kenya \| 1:01:45 row 2 : None \| paul yego \| kenya \| 1:01:46 row 3 : 4 \| antonio serrano \| spain \| 1:01:56 row 4 : 7 \| herder vazquez \| colombia \| 1:02:32 row 5 : 8 \| nobuyuki sato \| japan \| 1:02:36 row 6 : 10 \| joaquim pinheiro \| portugal \| 1:02:40 row 7 : 13 \| danilo goffi \| italy \| 1:02:49 row 8 : 14 \| oleg strizhakov \| russia \| 1:02:54 row 9 : 18 \| muhammed nazipov \| russia \| 1:03:02 row 10 : 23 \| meck mothuli \| south africa \| 1:03:25 row 11 : 39 \| juan antonio crespo \| spain \| 1:04:12 row 12 : 46 \| daniel held \| united states \| 1:04:30 row 13 : 53 \| kaare sørensen \| denmark \| 1:04:51 row 14 : 59 \| kingston maringe \| zimbabwe \| 1:05:12 row 15 : 60 \| abel chimukoko \| zimbabwe \| 1:05:15 row 16 : 62 \| yann millon \| france \| 1:05:20 row 17 : 66 \| manuel matias \| portugal \| 1:05:23 row 18 : 70 \| tolosa gebre \| ethiopia \| 1:05:37 row 19 : 79 \| marcos villa \| mexico \| 1:06:16 row 20 : 83 \| chris verbeeck \| belgium \| 1:06:37 row 21 : 84 \| julius ruto \| kenya \| 1:06:40 row 22 : 90 \| ronald schut \| netherlands \| 1:06:53 row 23 : 92 \| khelil benhalima \| algeria \| 1:07:01 row 24 : 96 \| tayeb kallou \| algeria \| 1:07:21 row 25 : 105 \| ebrahim etta-ati \| iran \| 1:08:10 row 26 : 106 \| wilson theleso \| botswana \| 1:08:12 row 27 : 108 \| haja ramananjatavo \| madagascar \| 1:08:25 row 28 : 116 \| ajay chuttoo \| mauritius \| 1:09:29 row 29 : 118 \| parakhat kurtgeldiye \| turkmenistan \| 1:09:50 row 30 : 122 \| edo janic \| yugoslavia \| 1:10:38 row 31 : 130 \| lee kar lun \| hong kong \| 1:13:28 row 32 : 133 \| binesh prasad \| fiji \| 1:15:38 row 33 : 137 \| genc lugja \| albania \| 1:16:53 row 34 : None \| baha tulumbo \| tanzania \| dnf ] Execute this SQL based on the above table: select rank where rank = 118	118.0
[ header: year \| album \| territory \| label \| notes row 1 : 1989 \| good deeds and dirty rags \| uk \| capitol records \| debut album, reached no. 26 on uk row 2 : 1989 \| fish heads and tails \| uk \| capitol records \| mid-price live and rarities compilation row 3 : 1991 \| hammer and tongs \| uk \| radioactive records/mca \| second studio album; reached no. 61 on row 4 : 1991 \| goodbye mr. mackenzie \| international \| radioactive records/mca \| compilation of tracks from both albums, remixed row 5 : 1993 \| live on the day of storms \| uk \| blokshok records \| live album row 6 : 1994 \| five \| uk \| blokshok records \| third studio album row 7 : 1995 \| jezebel \| uk \| blokshok records \| rarities compilation row 8 : 1996 \| the glory hole \| uk \| blokshok records \| fourth and final studio album: manson, row 9 : 2005 \| the river sessions \| uk \| river records \| double live album row 10 : 2009 \| the rattler: live '91' \| uk \| md music company \| live album (digital release) ] Execute this SQL based on the above table: select notes order by year desc limit 1	live album (digital release)
[ header: year \| representative \| hometown \| placement in miss nepal \| special awards at miss nepal \| placement in miss pokhara row 1 : 1995 \| rita gurung \| pamee \| 1st runner up \| None \| winner row 2 : 1996 \| binita gurung \| batulichor \| 2nd runner up \| None \| winner row 3 : 1997 \| neelima gurung \| nadipur \| winner \| miss personality \| winner row 4 : 1998 \| sunita ranjit \| lakeside \| None \| None \| winner row 5 : 1999 \| kripa gurung \| tersapatti \| 2nd runner up \| miss photogenic \| winner row 6 : 2004 \| anita gurung \| bajapatan \| 2nd runner up \| miss talent \| miss paschimanchal 2003 row 7 : 2005 \| chandra gurung \| ghorepatan \| None \| None \| None row 8 : 2011 \| madina begum \| pokreli \| None \| miss perseverance \| None row 9 : 2012 \| dilasha gc \| chindata \| None \| None \| None row 10 : 2013 \| sipora gurung \| mahendrapool \| 3rd runner up \| miss talent \| None row 11 : 2014 \| rashmi adhikari \| goripatan \| None \| None \| winner ] Execute this SQL based on the above table: select count ( distinct representative ) where placement in miss pokhara = 'None'	0
[ header: \| \| \| \| \| \| \| \| row 1 : ccc \| ieee conference on computational complexity \| 1993 \| 1996 \| 1999 \| None \| 2007 \| 2011 \| 2015 row 2 : ec \| acm conference on electronic commerce \| None \| None \| None \| 2003 \| 2007 \| 2011 \| 2015 row 3 : isca \| acm/ieee international \| 1993 \| 1996 \| 1999 \| 2003 \| 2007 \| 2011 \| 2015 row 4 : lctes \| acm sigplan/sigbed \| None \| None \| 1999 \| 2003 \| 2007 \| None \| None row 5 : metrics \| acm sigmetrics international conference \| None \| 1996 \| 1999 \| 2003 \| 2007 \| None \| 2015 row 6 : pldi \| acm sigplan conference on programming \| None \| 1996 \| 1999 \| 2003 \| 2007 \| 2011 \| 2015 row 7 : podc \| acm symposium on principles of distributed computing \| None \| 1996 \| 1999 \| None \| None \| 2011 \| None row 8 : ppopp \| acm sigplan symposium on principles \| 1993 \| None \| 1999 \| 2003 \| None \| None \| None row 9 : spaa \| acm symposium on parallelism in \| None \| None \| None \| 2003 \| 2007 \| 2011 \| 2015 row 10 : socg \| acm symposium on computational geometry \| 1993 \| 1996 \| None \| 2003 \| None \| None \| None row 11 : stoc \| acm symposium on theory of computing \| 1993 \| 1996 \| 1999 \| 2003 \| 2007 \| 2011 \| 2015 ] Execute this SQL based on the above table: select order by desc limit 1	ccc
[ header: year \| title \| role \| notes row 1 : 2006 \| save the last dance 2 \| mixx \| direct to video row 2 : 2007 \| nick cannon/wild 'n \| himself \| improv comedy row 3 : 2007 \| stomp the yard \| rich brown \| film row 4 : 2011 \| csi: ny \| the hitman \| episode 7.14 "smooth criminal" row 5 : 2011 \| the fresh beat band \| himself \| special episode "band in a jam" row 6 : 2011 \| battle: los angeles \| specks \| film row 7 : 2012 \| empire girls: julissa \| himself \| reality-show row 8 : 2012 \| red tails \| andrew 'smoky' \| film row 9 : 2012 \| i heart tuesdays \| none \| (tv), creator row 10 : 2012 \| the x factor \| guest mentor \| None row 11 : 2012 \| never mind the buzzcocks \| guest host \| None row 12 : 2012 \| 90210 \| guest star \| None ] Execute this SQL based on the above table: select sum ( year )	24125
[ 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 \| competition \| date \| location \| opponent \| score \| result \| bye row 1 : 1990 \| world group, 1st round \| 2-4 feb \| barcelona (esp) \| spain \| 3-2 \| win \| row 2 : 1990 \| world group, quarterfinals \| 30 mar - 2 apr \| vienna (aut) \| italy \| 5-0 \| win \| row 3 : 1990 \| world group, semifinals \| 21-23 sep \| vienna (aut) \| united states \| 2-3 \| loss \| row 4 : 1991 \| world group, 1st round \| 1-3 feb \| prague (tch) \| czechoslovakia \| 1-4 \| loss \| row 5 : 1991 \| world group, relegation play-off \| 20-22 sep \| manchester (gbr) \| great britain \| 1-3 \| loss \| row 6 : 1992 \| euro/african zone group i \| None \| None \| None \| None \| None \| row 7 : 1992 \| euro/african zone group i \| 1-3 may \| helsinki (fin) \| finland \| 4-1 \| win \| row 8 : 1992 \| world group, relegation play-off \| 25-27 sep \| vancouver (can) \| canada \| 3-1 \| win \| row 9 : 1993 \| world group, 1st round \| 26-28 mar \| vienna (aut) \| france \| 1-4 \| loss \| row 10 : 1993 \| world group, relegation play-off \| 24-26 sep \| christchurch (nzl) \| new zealand \| 3-2 \| win \| row 11 : 1994 \| world group, 1st round \| 26-28 mar \| graz (aut) \| germany \| 2-3 \| loss \| row 12 : 1994 \| world group, relegation play-off \| 23-25 sep \| montevideo (uru) \| uruguay \| 3-2 \| win \| row 13 : 1995 \| world group, 1st round \| 3-5 feb \| vienna (aut) \| spain \| 4-1 \| win \| row 14 : 1995 \| world group, quarterfinals \| 31 mar - 2 apr \| vaxjo (swe) \| sweden \| 0-5 \| loss \| row 15 : 1996 \| world group, 1st round \| 9-12 feb \| johannesburg (rsa) \| south africa \| 2-3 \| loss \| row 16 : 1996 \| world group, relegation play-off \| 20-22 sep \| sao paulo (bra) \| brazil \| 1-4 \| loss \| row 17 : 1997 \| euro/african zone group i \| None \| None \| None \| None \| None \| row 18 : 1997 \| euro/african zone group i \| 4-6 apr \| graz (aut) \| croatia \| 3-2 \| win \| row 19 : 1997 \| world group, relegation play-off \| 19-21 sep \| harare (zim) \| zimbabwe \| 2-3 \| loss \| row 20 : 1998 \| euro/african zone group i \| 3-5 apr \| ramat hasharon (isr) \| israel \| 1-4 \| loss \| row 21 : 1998 \| euro/african zone group i \| 25-27 sep \| portschach (aut) \| denmark \| 5-0 \| win \| row 22 : 1999 \| euro/african zone group i \| 2-4 apr \| wels (aut) \| portugal \| 4-1 \| win \| row 23 : 1999 \| world group, relegation play-off \| 24-26 sep \| portschach (aut) \| sweden \| 3-2 \| win \| ] Execute this SQL based on the above table: select count ( bye ) where year > ( select year where bye = '' )	20
[ header: year \| group \| award \| result \| notes row 1 : 1994 \| venice film festival \| best actor \| won \| before the rain (1994 film) row 2 : 1996 \| new zealand film and tv \| best foreign performer \| won \| broken english (1996 film) row 3 : 2006 \| monaco international film festival \| best actor \| won \| short order row 4 : 2007 \| rome film fest \| best actor \| won \| fugitive pieces (film) row 5 : 2008 \| satellite awards \| best actor in a supporting role \| nominated \| fugitive pieces (film) row 6 : 2008 \| vancouver film critics circle \| best supporting actor in a canadian film \| nominated \| fugitive pieces (film) row 7 : 2009 \| genie awards \| best performance by an actor in a supporting role \| nominated \| fugitive pieces (film) row 8 : 2012 \| tetouan international mediterra \| best actor \| won \| io sono li ] Execute this SQL based on the above table: select notes order by year asc limit 1	before the rain (1994 film)
[ header: rank \| name \| nationality \| 1,62 \| 1,67 \| 1,72 \| 1,75 \| notes row 1 : 1 \| dior delophont \| france \| None \| o \| o \| o \| q row 2 : 1 \| ligia grozav \| romania \| None \| o \| o \| o \| q row 3 : 3 \| iryna herashchenko \| ukraine \| None \| o \| xo \| o \| q row 4 : 4 \| lucija zupzic \| croatia \| o \| o \| o \| xo \| q row 5 : 4 \| chanice porter \| jamaica \| None \| None \| None \| xo \| q row 6 : 6 \| alexandra plaza \| germany \| o \| xo \| o \| xxo \| q row 7 : 7 \| nikola parilova \| czech republic \| o \| o \| o \| xxx \| q row 8 : 7 \| ioanna koltsid \| greece \| o \| o \| o \| xxx \| q row 9 : 9 \| leontia kallenou \| cyprus \| None \| xo \| xo \| xxx \| None row 10 : 10 \| anna pau \| italy \| xxo \| o \| xxo \| xxx \| None row 11 : 11 \| emily crutcher \| australia \| o \| o \| xxx \| None \| None row 12 : 11 \| keeley o'hagan \| new zealand \| o \| o \| xxx \| None \| None row 13 : 13 \| dace dreimane \| latvia \| xo \| o \| xxx \| None \| None row 14 : 14 \| vivien baglyos \| hungary \| o \| xo \| xxx \| None \| None row 15 : 15 \| thea lafond \| dominica \| xo \| xxx \| None \| None \| None ] Execute this SQL based on the above table: select rank order by rank desc limit 1	15.0
[ header: name \| county \| population (2012 est.) \| population (2010) \| land area row 1 : bremerton \| kitsap \| 39,251 \| 37,729 \| 28.41 sq mi (73.6 km2) row 2 : carnation \| king \| 1,823 \| 1,786 \| 1.16 sq mi (3.0 km2) row 3 : colville \| stevens \| 4,669 \| 4,673 \| 2.93 sq mi (7.6 km2) row 4 : des moines \| king \| 30,449 \| 29,673 \| 6.50 sq mi (16.8 km2) row 5 : duvall \| king \| 7,183 \| 6,695 \| 2.47 sq mi (6.4 km2) row 6 : edmonds \| snohomish \| 40,400 \| 39,709 \| 8.91 sq mi (23.1 km2) row 7 : elma \| grays harbor \| 3,095 \| 3,107 \| 1.89 sq mi (4.9 km2) row 8 : ferndale \| whatcom \| 11,998 \| 11,415 \| 6.61 sq mi (17.1 km2) row 9 : fife \| pierce \| 9,333 \| 9,173 \| 5.68 sq mi (14.7 km2) row 10 : gig harbor \| pierce \| 7,549 \| 7,126 \| 5.95 sq mi (15.4 km2) row 11 : goldendale \| klickitat \| 3,471 \| 3,407 \| 2.52 sq mi (6.5 km2) row 12 : granite falls \| snohomish \| 3,416 \| 3,364 \| 2.18 sq mi (5.6 km2) row 13 : harrington \| lincoln \| 420 \| 424 \| 0.38 sq mi (0.98 km2) row 14 : kenmore \| king \| 21,280 \| 20,460 \| 6.15 sq mi (15.9 km2) row 15 : lake stevens \| snohomish \| 29,104 \| 28,069 \| 8.88 sq mi (23.0 km2) row 16 : lakewood \| pierce \| 58,852 \| 58,163 \| 17.17 sq mi (44.5 km2) row 17 : mesa \| franklin \| 518 \| 489 \| 1.64 sq mi (4.2 km2) row 18 : monroe \| snohomish \| 17,503 \| 17,304 \| 6.05 sq mi (15.7 km2) row 19 : montesano \| grays harbor \| 3,962 \| 3,976 \| 10.41 sq mi (27.0 km2) row 20 : napavine \| lewis \| 1,778 \| 1,766 \| 2.38 sq mi (6.2 km2) row 21 : newport \| pend oreille \| 2,116 \| 2,126 \| 1.07 sq mi (2.8 km2) row 22 : oroville \| okanogan \| 1,698 \| 1,686 \| 1.64 sq mi (4.2 km2) row 23 : pomeroy \| garfield \| 1,422 \| 1,425 \| 1.78 sq mi (4.6 km2) row 24 : port angeles \| clallam \| 19,056 \| 19,038 \| 10.70 sq mi (27.7 km2) row 25 : puyallup \| pierce \| 38,147 \| 37,022 \| 13.93 sq mi (36.1 km2) row 26 : roslyn \| kittitas \| 910 \| 893 \| 4.37 sq mi (11.3 km2) row 27 : sammamish \| king \| 49,069 \| 45,780 \| 18.22 sq mi (47.2 km2) row 28 : shoreline \| king \| 54,352 \| 53,007 \| 11.67 sq mi (30.2 km2) row 29 : snohomish \| snohomish \| 9,275 \| 9,098 \| 3.44 sq mi (8.9 km2) row 30 : stevenson \| skamania \| 1,473 \| 1,465 \| 1.64 sq mi (4.2 km2) row 31 : tenino \| thurston \| 1,724 \| 1,695 \| 1.44 sq mi (3.7 km2) row 32 : wapato \| yakima \| 5,065 \| 4,997 \| 1.17 sq mi (3.0 km2) ] Execute this SQL based on the above table: select name order by population (2010) limit 1	harrington
[ 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 count ( location ) where output (mw ac) < 1573	7
[ header: title \| year \| director \| country \| genre \| notes row 1 : 101 reykjavik \| 2000 \| baltasar kormakur \| iceland \| comedy \| None row 2 : big eden \| 2000 \| thomas bezucha \| united states \| romantic drama \| None row 3 : billy elliot \| 2000 \| stephen daldry \| england france \| comedy drama \| None row 4 : borstal boy \| 2000 \| peter sheridan \| england ireland \| romantic drama \| None row 5 : chuck & buck \| 2000 \| miguel arteta \| united states \| comedy drama \| None row 6 : citizens of perpetual indulgence \| 2000 \| alex monty canawati \| united states \| drama \| None row 7 : doors cut down \| 2000 \| antonio hens \| spain \| short comedy \| aka en malas companias row 8 : faites comme si je n'eta \| 2000 \| olivier jahan \| france \| drama \| None row 9 : the girl \| 2000 \| sande zeig \| united states france \| romantic drama \| None row 10 : an intimate friendship \| 2000 \| angela evers hughey \| united states \| romance, drama \| None row 11 : the iron ladies (satree lek \| 2000 \| youngyooth thongkonthun \| thailand \| comedy \| based on a true story of a row 12 : just a question of love \| 2000 \| christian faure \| france belgium \| drama \| None row 13 : km. 0 \| 2000 \| yolanda garcia serran \| spain \| romantic comedy drama \| None row 14 : the legend of rita \| 2000 \| volker schlondorff \| germany \| romantic drama \| None row 15 : marlene \| 2000 \| joseph vilsmaier \| germany italy \| biography drama music \| None row 16 : mercy \| 2000 \| damian harris \| united states \| mystery, thriller \| None row 17 : the monkey's mask \| 2000 \| samantha lang \| australia \| crime thriller \| None row 18 : the next best thing \| 2000 \| john schlesinger \| united states \| romantic comedy drama \| None row 19 : no one sleeps \| 2000 \| jochen hick \| germany \| drama, mystery \| None row 20 : once in a lifetime \| 2000 \| susanne bier \| denmark sweden \| music comedy drama \| None row 21 : our lady of the assassins \| 2000 \| barbet schroeder \| spain france colombia \| romantic crime drama \| aka la virgen de los s row 22 : the perfect son \| 2000 \| leonard farlinger \| canada \| drama \| None row 23 : the phantom \| 2000 \| joao pedro rodr \| portugal \| drama \| aka o fantasma row 24 : presque rien \| 2000 \| sebastien lifshitz \| france belgium \| romantic drama \| aka come undone and almost nothing row 25 : red dirt \| 2000 \| tag purvis \| united states \| romantic drama \| None row 26 : revoir julie \| 2000 \| jeanne crepeau \| quebec \| comedy, drama \| None row 27 : sordid lives \| 2000 \| del shores \| united states \| comedy \| None row 28 : straightman \| 2000 \| ben berkowitz \| united states \| drama \| None row 29 : things you can tell just by looking at her \| 2000 \| garcia rodrigo \| united states \| romantic drama \| None row 30 : together \| 2000 \| lukas moodysson \| sweden denmark italy \| comedy drama \| None row 31 : water drops on burning rocks \| 2000 \| francois ozon \| france \| drama \| None ] Execute this SQL based on the above table: select notes where year = year	aka en malas companias, based on a true story of a gay/transgender volleyball team. stars jesdaporn pholdee, aka la virgen de los sicarios, aka o fantasma, aka come undone and almost nothing
[ header: # \| date \| opponent \| score \| win \| loss \| save \| attendance \| record \| other info row 1 : 104 \| august 2 \| phillies \| 3 - 2 10 \| smith (3-6) \| calhoun (0-1) \| None \| 33629 \| 54-50 \| None row 2 : 105 \| august 3 \| @ pirates \| 6 - 4 \| drabek (3-10) \| maddux (6-10) \| gott (1) \| 7281 \| 54-51 \| None row 3 : 106 \| august 4 \| @ pirates \| 3 - 2 11 \| mason (3-1) \| gideon (1-2) \| None \| 8744 \| 55-51 \| None row 4 : 107 \| august 5 \| @ pirates \| 10 - 0 \| fisher (7-6) \| moyer (9-8) \| None \| 7726 \| 55-52 \| None row 5 : 110 \| august 8 \| @ mets \| 5 - 3 \| mason (4-1) \| schulze (1-2) \| smith (27) \| 47893 \| 56-54 \| None row 6 : 111 \| august 9 \| @ mets \| 6 - 3 \| sanderson (5-6) \| gooden (9-4) \| smith (28) \| 49031 \| 57-54 \| None row 7 : 112 \| august 10 \| @ phillies \| 4 - 2 \| frohwirth (1-0) \| moyer (9-9) \| bedrosian (31) \| 26796 \| 57-55 \| None row 8 : 113 \| august 11 \| @ phillies \| 9 - 8 13 \| k. gross (7-10) \| tewksbury (0-4) \| None \| 30459 \| 57-56 \| None row 9 : 114 \| august 12 \| @ phillies \| 13 - 7 \| calhoun (1-1) \| lynch (1-7) \| None \| 36190 \| 57-57 \| None row 10 : 116 \| august 14 \| mets \| 6 - 1 \| sanderson (6-6) \| mitchell (3-5) \| None \| 17811 \| 59-57 \| None row 11 : 117 \| august 15 \| mets \| 7 - 3 \| moyer (10-9) \| leach (10-1) \| dipino (2) \| 32425 \| 60-57 \| None row 12 : 118 \| august 16 \| mets \| 23 - 10 \| darling (10-7) \| maddux (6-11) \| None \| 32731 \| 60-58 \| billy williams day ruined by row 13 : 119 \| august 18 \| @ braves \| 9 - 5 \| mahler (7-12) \| lynch (1-8) \| acker (8) \| 17469 \| 60-59 \| None row 14 : 120 \| august 19 \| @ braves \| 9 - 1 \| sanderson (7-6) \| puleo (5-6) \| None \| 10523 \| 61-59 \| None row 15 : 121 \| august 20 \| @ braves \| 13 - 4 \| acker (1-5) \| moyer (10-10) \| None \| 11647 \| 61-60 \| None row 16 : 123 \| august 22 \| astros \| 5 - 4 11 \| andersen (8-4) \| dipino (3-3) \| smith (21) \| 32552 \| 62-61 \| None row 17 : 124 \| august 23 \| astros \| 4 - 2 \| heathcock (3-1) \| sutcliffe (15-6) \| smith (22) \| 33934 \| 62-62 \| None row 18 : 126 \| august 27 \| braves \| 8 - 6 8 \| lancaster (4-1) \| mahler (7-13) \| dipino (3) \| 19006 \| 63-63 \| None row 19 : 127 \| august 28 \| @ reds \| 6 - 5 10 \| smith (4-7) \| franco (7-5) \| None \| 28223 \| 64-63 \| None row 20 : 128 \| august 29 \| @ reds \| 4 - 1 \| browning (6-11) \| sanderson (7-7) \| None \| 37783 \| 64-64 \| None ] Execute this SQL based on the above table: select save where save in ( 'gott (1)' , 400 ) order by save desc limit 1	gott (1)
[ header: airing date \| english title (chinese title) \| number of episodes \| main cast \| theme song (t) sub-theme song (st) \| genre \| notes \| official website row 1 : 19 feb- 15 mar \| mutual affection 河東獅吼 \| 20 \| esther kwan, gordon la \| t: "怕老婆會發達" (david \| costume drama \| None \| None row 2 : 18 mar- 3 may \| dark tales 聊齋 \| 35 \| gallen lo, grace yu, ja \| t: "隔世情" (cass \| costume drama \| prequel to 1998's dark tales \| None row 3 : 6 may- 31 may \| money just can't buy 天降財神 \| 20 \| bobby au yeung, mari \| t: "運財有福星" (natalis \| modern drama \| None \| None row 4 : 3 jun- 21 jun \| crossing boundaries 盞鬼老豆 \| 15 \| mini kung, benz hui \| t: "覺悟" (vivian \| modern drama \| released overseas on april 3, 1995 \| None row 5 : 24 jun- 16 aug \| state of divinity 笑傲江湖 \| 40 \| jackie lui, fiona le \| t: "活得瀟灑" (alan \| costume drama \| None \| official website row 6 : 19 aug- 6 sep \| the price to pay 五個醒覺的少年 \| 20 \| john kwan, may kw \| t: "改改改" (hacken le \| modern drama \| released overseas on december 7, 1995 \| None row 7 : 9 sep- 4 oct \| night journey 殭屍福星 \| 20 \| yuen wah, dani \| t: "今天開始" (danie \| costume drama \| None \| None row 8 : 7 oct- 15 nov \| food of love 闔府統請 \| 30 \| wong he, kenix k \| t: "闔府統請" (gabriel \| modern drama \| None \| None row 9 : 10 nov- 20 dec \| journey to the west 西遊記 \| 30 \| dicky cheung, kw \| t: "西遊記" (dicky \| costume drama \| prequel to 1998's journey to the west \| official website row 10 : 30 dec 1996- 27 jan 1998 \| in the name of love 有肥人終成眷屬 \| 20 \| kent cheng, sunny chan \| t: "但願有情人" (mo \| modern drama \| None \| None ] Execute this SQL based on the above table: select english title (chinese title) where number of episodes < 20 order by number of episodes desc limit 1	crossing boundaries 盞鬼老豆
[ header: name \| date of death \| ceremony \| year \| academy award \| film \| winner row 1 : marit allen \| 26-nov-07 \| 80th \| 2007 \| best costume design \| la vie en rose \| None row 2 : howard ashman \| 14-mar-91 \| 64th \| 1991 \| best music (song) \| beauty and the beast \| None row 3 : howard ashman \| 14-mar-91 \| 65th \| 1992 \| best music (song) \| aladdin \| None row 4 : robert alan aurth \| 20-nov-78 \| 52nd \| 1979 \| best picture \| all that jazz \| None row 5 : james dean \| 30-sep-55 \| 28th \| 1955 \| best actor \| east of eden \| None row 6 : gail dolgin \| 7-oct-10 \| 84th \| 2011 \| best documentary (short subject) \| the barber of birmingham \| None row 7 : gordon hollingshead \| 8-jul-52 \| 25th \| 1952 \| best short film (live action) \| desert killer \| None row 8 : william a. horning \| 2-mar-59 \| 31st \| 1958 \| best art direction \| gigi \| won row 9 : william a. horning \| 2-mar-59 \| 32nd \| 1959 \| best art direction \| ben-hur \| won row 10 : william a. horning \| 2-mar-59 \| 32nd \| 1959 \| best art direction \| north by northwest \| None row 11 : bert kalmar \| 18-sep-47 \| 24th \| 1951 \| best music (song) \| the strip \| None row 12 : jerome kern \| 11-nov-45 \| 19th \| 1946 \| best music (song) \| centennial summer \| None row 13 : william kiernan \| 19-nov-73 \| 46th \| 1973 \| best art direction \| the way we were \| None row 14 : frederic knudt \| 14-feb-64 \| 36th \| 1963 \| best film editing \| it's a mad, mad, mad \| None row 15 : alfred newman \| 17-feb-70 \| 43rd \| 1970 \| best music (scoring) \| airport \| None row 16 : joseph o'brien \| 30-mar-45 \| 18th \| 1945 \| best short film (live action) \| your national gallery \| None row 17 : bridget o'connor \| 22-sep-10 \| 84th \| 2011 \| best writing \| tinker tailor soldier spy \| None row 18 : arnold perl \| 11-dec-71 \| 45th \| 1972 \| best documentary (feature) \| malcolm x \| None row 19 : raymond rasch \| 23-dec-64 \| 45th \| 1972 \| best music (scoring) \| limelight \| won row 20 : larry russell \| 14-feb-54 \| 45th \| 1972 \| best music (scoring) \| limelight \| won row 21 : carol sobieski \| 4-nov-90 \| 64th \| 1991 \| best writing \| fried green tomatoes \| None row 22 : harry stradling \| 14-feb-70 \| 42nd \| 1969 \| best cinematography \| hello, dolly! \| None row 23 : spencer tracy \| 10-jun-67 \| 40th \| 1967 \| best actor \| guess who's coming to dinner \| None row 24 : robert l. wolfe \| 28-feb-81 \| 54th \| 1981 \| best film editing \| on golden pond \| None row 25 : sam zimbalist \| 4-nov-58 \| 32nd \| 1959 \| best picture \| ben-hur \| won ] Execute this SQL based on the above table: select abs ( ( select academy award where name = 'robert alan aurthur' ) - ( select ceremony where name = 'robert alan aurthur' ) )	52
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1994 \| european championships \| helsinki, finland \| 48th \| marathon \| 2:22:49 row 2 : 1995 \| world championships \| gothenburg, sweden \| 49th \| marathon \| 2:33:42 row 3 : 1996 \| summer olympics \| atlanta, georgia \| 58th \| marathon \| 2:23:14 row 4 : 1997 \| world championships \| athens, greece \| 48th \| marathon \| 2:29:10 row 5 : 1998 \| world cross country championships \| marrakech, morocco \| 85th \| long race \| None row 6 : 1998 \| world half marathon championships \| uster, switzerland \| 66th \| half marathon \| 1:05:00 row 7 : 1998 \| european championships \| budapest, hungary \| 29th \| marathon \| 2:19:38 row 8 : 1999 \| world half marathon championships \| palermo, italy \| 55th \| half marathon \| 1:05:45 row 9 : 1999 \| frankfurt marathon \| frankfurt, germany \| 1st \| marathon \| 2:12:37 row 10 : 1999 \| helsinki marathon \| helsinki, finland \| 1st \| marathon \| 2:19:18 row 11 : 2000 \| summer olympics \| sydney, australia \| 35th \| marathon \| 2:19:41 row 12 : 2001 \| frankfurt marathon \| frankfurt, germany \| 1st \| marathon \| 2:11:09 row 13 : 2002 \| paris marathon \| paris, france \| 2nd \| marathon \| 2:08:53 row 14 : 2002 \| european championships \| munich, germany \| 2nd \| marathon \| 2:13:18 row 15 : 2002 \| fukuoka marathon \| fukuoka, japan \| 4th \| marathon \| 2:10:14 row 16 : 2003 \| joongang seoul marathon \| seoul, south korea \| 1st \| marathon \| 2:09:15 row 17 : 2004 \| summer olympics \| athens, greece \| 26th \| marathon \| 2:18:09 row 18 : 2004 \| joongang seoul marathon \| seoul, south korea \| 1st \| marathon \| 2:09:34 row 19 : 2005 \| joongang seoul marathon \| seoul, south korea \| 4th \| marathon \| 2:12:12 row 20 : 2006 \| paris marathon \| paris, france \| 12th \| marathon \| 2:11:25 row 21 : 2007 \| world championships \| osaka, japan \| None \| marathon \| dnf row 22 : 2007 \| beppu-oita marathon \| beppu-oita, japan \| 8th \| marathon \| 2:14:49 row 23 : 2008 \| summer olympics \| beijing, china \| 75th \| marathon \| 2:39:01 ] Execute this SQL based on the above table: select notes order by year limit 1	2
[ header: name \| position \| year \| league apps \| league goals \| total apps \| total goals \| notes row 1 : walter langton \| lb / cf \| 1887-1905 \| 45 \| 28 \| 48 \| 48 \| doncaster's longest serving player appearance stats row 2 : tom keetley \| fw \| 1923-1929 \| 231 \| 180 \| 241 \| 186 \| record all time goalscorer. most goals in row 3 : fred emery \| wh \| 1924-1936 \| 417 \| 30 \| 439 \| 32 \| record league appearances manager of doncaster 1936-19 row 4 : paddy mcconnell \| if \| 1925-1930 \| 137 \| 20 \| 143 \| 21 \| the first current doncaster player to represent his country row 5 : syd bycroft \| df \| 1936-1951 \| 333 \| 2 \| 355 \| 2 \| including wartime league matches, he played row 6 : eddie perry \| cf \| 1936-1938 \| 98 \| 44 \| 102 \| None \| welsh international whilst at don row 7 : clarrie jordan \| fw \| 1945-1948 \| 60 \| 48 \| 67 \| 50 \| most doncaster league goals in one season (42 row 8 : charlie williams \| df \| 1948-1959 \| 158 \| 1 \| 174 \| 1 \| famous comedian row 9 : peter doherty \| if \| 1949-1953 \| 103 \| 55 \| 109 \| 58 \| ireland international player and manager of northern row 10 : len graham \| mf \| 1949-1958 \| 312 \| 3 \| 332 \| 3 \| northern ireland international whilst at row 11 : kit lawlor \| if \| 1950-1954 \| 127 \| 47 \| 143 \| 49 \| republic of ireland international whilst row 12 : harry gregg \| gk \| 1952-1957 \| 94 \| 0 \| 99 \| 0 \| northern ireland international whilst at row 13 : alick jeffrey \| fw \| 1954-1956, 1963-1968 \| 262 \| 129 \| 293 \| 140 \| youngest doncaster player (15 years 229 days row 14 : colin douglas \| fw \| 1981-1986, 1988-1993 \| 404 \| 53 \| 444 \| 62 \| record total appearances (not including the wartime row 15 : brian stock \| mf \| 2006-2012 \| 193 \| 18 \| 216 \| 23 \| welsh international whilst at don row 16 : billy sharp \| fw \| 2009-2012, 2014- \| 92 \| 44 \| 96 \| 45 \| record transfer fee paid: £1,150,000 ] Execute this SQL based on the above table: select count ( position ) where notes = 1118	0
[ header: pos \| country \| gold \| silver \| bronze \| total row 1 : 1 \| italy (ita) \| 3 \| 3 \| 1 \| 7 row 2 : 2 \| united states (usa) \| 3 \| 0 \| 1 \| 4 row 3 : 3 \| poland (pol) \| 1 \| 3 \| 3 \| 7 row 4 : 4 \| soviet union (urs) \| 1 \| 2 \| 2 \| 5 row 5 : 5 \| hungary (hun) \| 1 \| 0 \| 0 \| 1 row 6 : 5 \| czechoslovakia (t \| 1 \| 0 \| 1 \| 2 row 7 : 7 \| ghana (gha) \| 0 \| 1 \| 0 \| 1 row 8 : 7 \| south africa (rsa) \| 0 \| 1 \| 1 \| 2 row 9 : 9 \| great britain (gbr) \| 0 \| 0 \| 3 \| 3 row 10 : 10 \| australia (aus) \| 0 \| 0 \| 2 \| 2 row 11 : 11 \| japan (jpn) \| 0 \| 0 \| 1 \| 1 row 12 : 11 \| united arab republic (egy) \| 0 \| 0 \| 1 \| 1 row 13 : 11 \| finland (fin) \| 0 \| 0 \| 1 \| 1 row 14 : 11 \| argentina (arg) \| 0 \| 0 \| 1 \| 1 row 15 : 11 \| romania (rou) \| 0 \| 0 \| 1 \| 1 row 16 : 11 \| germany (eua) \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select count ( * ) where total <= 1145	16
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| united states \| 8 \| 7 \| 1 \| 16 row 2 : 2 \| russia \| 7 \| 7 \| 5 \| 19 row 3 : 3 \| france \| 3 \| 3 \| 2 \| 8 row 4 : 4 \| ethiopia \| 3 \| 2 \| 2 \| 7 row 5 : 5 \| belarus \| 3 \| 1 \| 3 \| 7 row 6 : 6 \| sweden \| 2 \| 1 \| 2 \| 5 row 7 : 7 \| kenya \| 2 \| 1 \| 1 \| 4 row 8 : 7= \| south africa \| 2 \| 1 \| 1 \| 4 row 9 : 9 \| morocco \| 2 \| 1 \| 0 \| 3 row 10 : 10 \| greece \| 1 \| 1 \| 2 \| 4 row 11 : 11 \| cuba \| 1 \| 1 \| 0 \| 2 row 12 : 12 \| italy \| 1 \| 0 \| 2 \| 3 row 13 : 13 \| canada \| 1 \| 0 \| 1 \| 2 row 14 : 14 \| algeria \| 1 \| 0 \| 0 \| 1 row 15 : 14= \| australia \| 1 \| 0 \| 0 \| 1 row 16 : 14= \| dominican republic \| 1 \| 0 \| 0 \| 1 row 17 : 14= \| ecuador \| 1 \| 0 \| 0 \| 1 row 18 : 14= \| lithuania \| 1 \| 0 \| 0 \| 1 row 19 : 14= \| mexico \| 1 \| 0 \| 0 \| 1 row 20 : 14= \| mozambique \| 1 \| 0 \| 0 \| 1 row 21 : 14= \| poland \| 1 \| 0 \| 0 \| 1 row 22 : 14= \| qatar \| 1 \| 0 \| 0 \| 1 row 23 : 14= \| saint kitts and nevis \| 1 \| 0 \| 0 \| 1 row 24 : 24 \| jamaica \| 0 \| 4 \| 2 \| 6 row 25 : 25 \| spain \| 0 \| 3 \| 2 \| 5 row 26 : 26 \| hungary \| 0 \| 2 \| 0 \| 2 row 27 : 27 \| germany \| 0 \| 1 \| 3 \| 4 row 28 : 27= \| japan \| 0 \| 1 \| 3 \| 4 row 29 : 27= \| ukraine \| 0 \| 1 \| 3 \| 4 row 30 : 30 \| great britain \| 0 \| 1 \| 2 \| 3 row 31 : 31 \| brazil \| 0 \| 1 \| 0 \| 1 row 32 : 31= \| cameroon \| 0 \| 1 \| 0 \| 1 row 33 : 31= \| czech republic \| 0 \| 1 \| 0 \| 1 row 34 : 31= \| estonia \| 0 \| 1 \| 0 \| 1 row 35 : 31= \| ireland \| 0 \| 1 \| 0 \| 1 row 36 : 31= \| trinidad and tobago \| 0 \| 1 \| 0 \| 1 row 37 : 31= \| turkey \| 0 \| 1 \| 0 \| 1 row 38 : 38 \| bahamas \| 0 \| 0 \| 3 \| 3 row 39 : 39 \| china \| 0 \| 0 \| 2 \| 2 row 40 : 40 \| india \| 0 \| 0 \| 1 \| 1 row 41 : 40= \| kazakhstan \| 0 \| 0 \| 1 \| 1 row 42 : 40= \| netherlands \| 0 \| 0 \| 1 \| 1 row 43 : 40= \| senegal \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select gold where rank = 7	2.0, 2.0
[ header: date \| time \| opponent# \| site \| tv \| result \| attendance row 1 : august 29 \| 7:30 pm \| appalachian state \| groves stadium • winston-sa \| None \| w 19-13 \| 21129 row 2 : september 7 \| 6:30 pm \| #13 northwestern \| groves stadium • winston-sa \| fsn \| w 28-27 \| 21749 row 3 : september 14 \| 7:00 pm \| at georgia tech \| bobby dodd stadium • atlant \| None \| l 10-30 \| 45750 row 4 : september 21 \| 12:00 pm \| #20 virginia \| groves stadium • winston-sa \| jps \| l 7-42 \| 23220 row 5 : september 28 \| 12:00 pm \| at clemson \| memorial stadium • clemson, s \| jps \| l 10-21 \| 63263 row 6 : october 5 \| 6:30 pm \| #15 north carolina \| groves stadium • winston-sa \| None \| l 6-45 \| 25681 row 7 : october 19 \| 2:00 pm \| at maryland \| byrd stadium • college park, m \| None \| l 0-52 \| 30212 row 8 : october 26 \| 1:00 pm \| navy \| groves stadium • winston-sa \| None \| l 18-47 \| 17307 row 9 : november 9 \| 12:00 pm \| vs. #3 florida state \| citrus bowl • orlando, f \| jps \| l 7-44 \| 34974 row 10 : november 16 \| 1:00 pm \| duke \| groves stadium • winston-sa \| None \| w 17-16 \| 17842 row 11 : november 23 \| 1:00 pm \| at nc state \| carter-finley stadium • r \| None \| l 22-37 \| 40500 ] Execute this SQL based on the above table: select opponent# order by attendance desc limit 1	at clemson
[ header: represent \| contestant \| age \| height \| hometown row 1 : 1 \| mildred kincaid adame \| 20 \| 1.65 mts \| panama city row 2 : 2 \| catherine henderson tudi \| 20 \| 1.66 mts \| panama city row 3 : 3 \| giovanna alida loa \| 21 \| 1.67 mts \| panama city row 4 : 4 \| reyna royo \| 24 \| 1.69 mts \| panama city row 5 : 5 \| ivonne ileana correa \| 23 \| 1.70 mts \| panama city row 6 : 6 \| karol guevara \| 22 \| 1.70 mts \| panama city row 7 : 7 \| betzy janette achurr \| 20 \| 1.70 mts \| panama city row 8 : 8 \| marisela moreno montero \| 24 \| 1.73 mts \| panama city row 9 : 9 \| patricia de leon \| 19 \| 1.74 mts \| panama city row 10 : 10 \| marichelle julieta r \| 20 \| 1.74 mts \| panama city row 11 : 11 \| betsy milena batista \| 21 \| 1.75 mts \| panama city row 12 : 12 \| lourdes rodriguez \| 21 \| 1.75 mts \| panama city row 13 : 13 \| janessy jasiell contreras \| 18 \| 1.75 mts \| panama city row 14 : 14 \| gina larissa correa hils \| 20 \| 1.76 mts \| panama city row 15 : 15 \| swany cisney castill \| 23 \| 1.78 mts \| panama city row 16 : 16 \| michelle krisko sugasti \| 20 \| 1.80mts \| panama city ] Execute this SQL based on the above table: select contestant where age = 20	mildred kincaid adames, catherine henderson tudisco, betzy janette achurra castillo, marichelle julieta ruiz leone, gina larissa correa hils, michelle krisko sugasti
[ header: church name \| address \| community \| school row 1 : blessed sacrament \| 6657 w. sunset bl \| los angeles (hollywood) \| k-8 row 2 : st. vibiana \| 923 south la brea ave \| los angeles (mid-city) \| no row 3 : christ the king \| 624 north rossmore ave \| los angeles (hollywood) \| k-8 row 4 : holy spirit \| 1425 s. dunsmu \| los angeles (mid-city) \| None row 5 : our mother of good counsel \| 2060 n. vermont ave \| los angeles (los feliz) \| k-8 row 6 : st. casimir \| 2718 saint george st. \| los angeles (los feliz) \| no row 7 : st. columban \| 125 loma dr.34 \| los angeles (filipinotown \| no row 8 : st. francis of assi \| 1523 golden gate ave.34° \| los angeles (silverlake) \| k-8 row 9 : st. kevin \| 4072 beverly blvd \| los angeles (south h \| no row 10 : st. mary magdalen \| 1241 corning st.34° \| los angeles (south rob \| 1-8 row 11 : st. peter (italian \| 1039 n. broadway34°04 \| los angeles (solano canyon) \| no row 12 : st. teresa of \| 2215 fargo st.34° \| los angeles (silverlake) \| k-8 ] Execute this SQL based on the above table: select community where church name = 'st. vibiana'	los angeles (mid-city)
[ header: season \| club \| country \| competition \| apps. \| goals row 1 : 1997/98 \| rapide club lebbeke \| belgium \| fourth division \| None \| None row 2 : 1998/99 \| ksc eendracht a \| belgium \| jupiler league \| 30 \| 7 row 3 : 1999/00 \| ksc eendracht a \| belgium \| jupiler league \| 31 \| 7 row 4 : 2000/01 \| ksc eendracht a \| belgium \| jupiler league \| 30 \| 6 row 5 : 2001/02 \| omonia nicosia \| cyprus \| cypriot first division \| 22 \| 8 row 6 : 2002/03 \| fc denderleeuw \| belgium \| belgian second division \| 32 \| 23 row 7 : 2003/04 \| 1. fc saarbrucken \| germany \| regionalliga sud \| 33 \| 16 row 8 : 2004/05 \| 1. fc saarbrucken \| germany \| 2. bundesliga \| 14 \| 7 row 9 : 2005/06 \| 1. fc saarbrucken \| germany \| 2. bundesliga \| 10 \| 0 row 10 : 2005/06 \| s.v. zulte \| belgium \| jupiler league \| 14 \| 1 row 11 : 2006/07 \| fcv dender eh \| belgium \| belgian second division \| 33 \| 21 row 12 : 2007/08 \| mvv \| netherlands \| eerste divisie \| 33 \| 22 row 13 : 2008/09 \| mvv \| netherlands \| eerste divisie \| 32 \| 20 row 14 : total \| None \| None \| None \| 302 \| 132 ] Execute this SQL based on the above table: select count ( distinct club )	8
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| algeria \| 8 \| 3 \| 0 \| 11 row 2 : 2 \| tunisia \| 4 \| 3 \| 5 \| 12 row 3 : 3 \| egypt \| 3 \| 3 \| 3 \| 9 row 4 : 4 \| cameroon \| 1 \| 1 \| 5 \| 7 row 5 : 5 \| morocco \| 0 \| 1 \| 5 \| 5 row 6 : 6 \| south africa \| 0 \| 1 \| 1 \| 2 row 7 : 7 \| angola \| 0 \| 1 \| 0 \| 1 row 8 : 7 \| burkina faso \| 0 \| 1 \| 0 \| 1 row 9 : 7 \| gabon \| 0 \| 1 \| 0 \| 1 row 10 : 7 \| madagascar \| 0 \| 1 \| 0 \| 1 row 11 : 11 \| nigeria \| 0 \| 0 \| 3 \| 3 row 12 : 12 \| senegal \| 0 \| 0 \| 2 \| 2 row 13 : 13 \| congo republic \| 0 \| 0 \| 1 \| 1 row 14 : 13 \| ivory coast \| 0 \| 0 \| 1 \| 1 row 15 : 13 \| guinea \| 0 \| 0 \| 1 \| 1 row 16 : 13 \| niger \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select gold where nation = 'senegal'	0
[ header: # \| president \| president's party \| senate with \| senate opposed \| house with \| house opposed \| years served \| elections won row 1 : 1 \| george washington \| federalist-leaning \| 8 \| 0 \| 6 \| 2 \| 8 \| 2 row 2 : 3 \| thomas jefferson \| democratic-republican \| 8 \| 0 \| 8 \| 0 \| 8 \| 2 row 3 : 4 \| james madison \| democratic-republican \| 8 \| 0 \| 8 \| 0 \| 8 \| 2 row 4 : 7 \| andrew jackson \| democratic \| 8 \| 0 \| 8 \| 0 \| 8 \| 2 row 5 : 8 \| martin van buren \| democratic \| 4 \| 0 \| 4 \| 0 \| 4 \| 1 row 6 : 10 \| john tyler \| whig/none \| 4 \| 0 \| 2 \| 2 \| 4 \| 0 row 7 : 13 \| millard fillmore \| whig \| 0 \| 3 \| 0 \| 3 \| 3 \| 0 row 8 : 15 \| james buchanan \| democratic \| 4 \| 0 \| 2 \| 2 \| 4 \| 1 row 9 : 16 \| abraham lincoln \| republican \| 4 \| 0 \| 4 \| 0 \| 4 \| 2 row 10 : 17 \| andrew johnson \| democratic \| 0 \| 4 \| 0 \| 4 \| 4 \| 0 row 11 : 18 \| ulysses grant \| republican \| 8 \| 0 \| 6 \| 2 \| 8 \| 2 row 12 : 20 \| james garfield \| republican \| 0 \| 0.5 \| 0.5 \| 0 \| 0.5 \| 1 row 13 : 21 \| chester arthur \| republican \| 4 \| 0 \| 2 \| 2 \| 4 \| 0 row 14 : 24 \| grover cleveland \| democratic \| 2 \| 2 \| 2 \| 2 \| 4 \| 1 row 15 : 25 \| william mckinley \| republican \| 4 \| 0 \| 4 \| 0 \| 4 \| 2 row 16 : 26 \| theodore roosevel \| republican \| 8 \| 0 \| 8 \| 0 \| 8 \| 1 row 17 : 27 \| william taft \| republican \| 4 \| 0 \| 2 \| 2 \| 4 \| 1 row 18 : 28 \| woodrow wilson \| democratic \| 6 \| 2 \| 6 \| 2 \| 8 \| 2 row 19 : 29 \| warren harding \| republican \| 2 \| 0 \| 2 \| 0 \| 2 \| 1 row 20 : 30 \| calvin coolidge \| republican \| 6 \| 0 \| 6 \| 0 \| 6 \| 1 row 21 : 31 \| herbert hoover \| republican \| 4 \| 0 \| 2 \| 2 \| 4 \| 1 row 22 : 34 \| dwight eisenhower \| republican \| 2 \| 6 \| 2 \| 6 \| 8 \| 2 row 23 : 36 \| lyndon johnson \| democratic \| 5 \| 0 \| 5 \| 0 \| 5 \| 1 row 24 : 38 \| gerald ford \| republican \| 0 \| 2 \| 0 \| 2 \| 2 \| 0 row 25 : 39 \| jimmy carter \| democratic \| 4 \| 0 \| 4 \| 0 \| 4 \| 1 row 26 : 41 \| george h. w. bush \| republican \| 0 \| 4 \| 0 \| 4 \| 4 \| 1 row 27 : 42 \| bill clinton \| democratic \| 2 \| 6 \| 2 \| 6 \| 8 \| 2 row 28 : 43 \| george w. bush \| republican \| 4.5 \| 3.5 \| 6 \| 2 \| 8 \| 2 row 29 : 44 \| barack obama \| democratic \| 6 \| 0 \| 2 \| 4 \| 6 \| 2 ] Execute this SQL based on the above table: select ( select house with where house opposed = 4 ) - ( select house with where house opposed = 0 )	-8.0
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| cuba \| 9 \| 11 \| 12 \| 32 row 2 : 2 \| jamaica \| 7 \| 5 \| 4 \| 16 row 3 : 3 \| colombia \| 4 \| 2 \| 3 \| 9 row 4 : 4 \| puerto rico \| 4 \| 2 \| 1 \| 7 row 5 : 5 \| mexico \| 3 \| 3 \| 4 \| 10 row 6 : 6 \| trinidad and tobago \| 2 \| 5 \| 1 \| 8 row 7 : 7 \| barbados \| 1 \| 1 \| 1 \| 3 row 8 : 8 \| guatemala \| 1 \| 0 \| 0 \| 1 row 9 : 8 \| bahamas \| 1 \| 0 \| 0 \| 1 row 10 : 10 \| venezuela \| 0 \| 2 \| 5 \| 7 row 11 : 11 \| u.s. virgin islands \| 0 \| 1 \| 1 \| 2 ] Execute this SQL based on the above table: select nation where id = ( select id where nation = 'colombia' ) - 1	jamaica
[ header: pos \| no \| rider \| bike \| laps \| time \| grid \| points row 1 : 2 \| 38 \| bradley smith \| aprilia \| 22 \| 4.638 \| 3 \| 20 row 2 : 3 \| 44 \| pol espargaro \| derbi \| 22 \| 4.996 \| 2 \| 16 row 3 : 4 \| 11 \| sandro cortese \| derbi \| 22 \| 45.366 \| 5 \| 13 row 4 : 5 \| 7 \| efren vazquez \| derbi \| 22 \| 45.433 \| 8 \| 11 row 5 : 6 \| 71 \| tomoyoshi koyama \| aprilia \| 22 \| 49.685 \| 6 \| 10 row 6 : 7 \| 35 \| randy krummenacher \| aprilia \| 22 \| 49.735 \| 14 \| 9 row 7 : 8 \| 14 \| johann zarco \| aprilia \| 22 \| 49.743 \| 10 \| 8 row 8 : 9 \| 94 \| jonas folger \| aprilia \| 22 \| 49.775 \| 12 \| 7 row 9 : 10 \| 99 \| danny webb \| aprilia \| 22 \| 53.115 \| 16 \| 6 row 10 : 11 \| 26 \| adrian martin \| aprilia \| 22 \| 58.669 \| 19 \| 5 row 11 : 12 \| 15 \| simone grotzkyj \| aprilia \| 22 \| 58.8 \| 11 \| 4 row 12 : 13 \| 23 \| alberto moncayo \| aprilia \| 22 \| +1:02.050 \| 13 \| 3 row 13 : 14 \| 78 \| marcel schrotter \| honda \| 22 \| +1:15.497 \| 23 \| 2 row 14 : 15 \| 63 \| zulfahmi khai \| aprilia \| 22 \| +1:16.029 \| 18 \| 1 row 15 : 19 \| 58 \| joan perello \| honda \| 22 \| +1:36.223 \| 26 \| None row 16 : 20 \| 60 \| michael van der mark \| lambretta \| 22 \| +1:36.340 \| 27 \| None row 17 : 21 \| 59 \| johnny rosell \| honda \| 22 \| +1:43.804 \| 22 \| None row 18 : 22 \| 72 \| marco ravaioli \| lambretta \| 22 \| +1:55.331 \| 30 \| None row 19 : 23 \| 56 \| peter sebestyen \| aprilia \| 21 \| +1 lap \| 32 \| None row 20 : ret \| 40 \| nicolas terol \| aprilia \| 21 \| accident \| 4 \| None row 21 : ret \| 39 \| luis salom \| aprilia \| 14 \| retirement \| 15 \| None row 22 : ret \| 17 \| eduard lopez \| aprilia \| 11 \| retirement \| 31 \| None row 23 : ret \| 55 \| isaac vinales \| aprilia \| 10 \| accident \| 21 \| None row 24 : ret \| 50 \| sturla fagerhaug \| aprilia \| 7 \| accident \| 17 \| None row 25 : ret \| 12 \| esteve rabat \| aprilia \| 0 \| accident \| 7 \| None row 26 : ret \| 53 \| jasper iwema \| aprilia \| 0 \| accident \| 20 \| None row 27 : dns \| 32 \| lorenzo savadori \| aprilia \| None \| did not start \| 29 \| None ] Execute this SQL based on the above table: select rider where time = '49.743' order by laps limit 22	johann zarco
[ header: species \| common name \| ncbi accession # \| ncbi name \| length \| sequence identity \| sequence similarity \| years since divergence from human (mya) row 1 : pan troglodytes \| chimpanzee \| xp_003317262 \| depdc5 \| 1572 aa \| 99% \| 99% \| 6.4 row 2 : nomascus leucogenys \| gibbon \| xp_003258163 \| depdc5 \| 1602 aa \| 99% \| 99% \| 20.4 row 3 : mus musculus \| mouse \| np_001164038 \| depdc5 \| 1591 aa \| 94% \| 96% \| 92.4 row 4 : bos taurus \| cow \| xp_002694678 \| depdc5 \| 1593 aa \| 94% \| 96% \| 94.4 row 5 : sorex araneus \| shrew \| ace77702 \| depdc5 \| 1570 aa \| 94% \| 96% \| 94.4 row 6 : monodelphis domestica \| possum \| xp_001378772 \| depdc5 \| 1522 aa \| 89% \| 93% \| 163.9 row 7 : gallus gallus \| chicken \| xp_415249 \| depdc5 \| 1592 aa \| 88% \| 93% \| 301.7 row 8 : meleagris gallopavo \| turkey \| xp_003211073 \| depdc5 \| 1592 aa \| 88% \| 93% \| 301.7 row 9 : taeniopygi \| zebra finch \| xp_002199825 \| depdc5 \| 1572 aa \| 87% \| 92% \| 301.7 row 10 : xenopus tropicalis \| frog \| xp_002931964 \| depdc5-like \| 1574 aa \| 79% \| 86% \| 371.2 row 11 : danio rerio \| zebra fish \| xp_691450 \| depdc5-like \| 1590 aa \| 75% \| 84% \| 400.1 row 12 : oreochromis niloticus \| cichlid \| xp_003459226 \| depdc5 \| 1577 aa \| 74% \| 82% \| 400.1 row 13 : strongylocentrotus purpuratus \| sea urchin \| xp_794020 \| similar to depdc5 \| 1608 aa \| 43% \| 57% \| 742.9 row 14 : drosophila melanogaster \| drosophila \| np_647618 \| gc12090 \| 1471 aa \| 41% \| 57% \| 782.7 row 15 : pediculus humanus corporis \| louse \| xp_002429401 \| depdc, putative \| 1538 aa \| 38% \| 53% \| 782.7 row 16 : anopheles gambiae \| mosquito \| xp_308760 \| agap007010-pa \| 1640 aa \| 36% \| 51% \| 782.7 row 17 : ascaris suum \| ascaris \| ady40551 \| depdcp5 \| 1359 aa \| 31% \| 51% \| 937.5 row 18 : ustilago maydis \| corn smut \| xp_757759 \| vacuolar-associated protein iml1 \| 1867 aa \| 23% \| 52% \| 1215.8 row 19 : saccharomyces cerevisiae \| yeast \| np_012672 \| iml1p \| 1584 aa \| 20% \| 50% \| 1215.8 row 20 : albugo laibachii \| white rust \| cca27519 \| vacuolar membrane-associated protein putative \| 1591 aa \| 20% \| 46% \| 1362 ] Execute this SQL based on the above table: select years since divergence from human (mya) where sequence similarity = '96%'	92.4, 94.4, 94.4
[ header: month \| song \| artist \| aggregate points \| total downloads \| year-end chart row 1 : january \| "lovey-dovey" \| t-ara \| 142,691,767 \| 1,903,727 \| 7 row 2 : february \| "blue" \| big bang \| 102,380,663 \| 1,351,429 \| 10 row 3 : march \| "fantastic baby" \| big bang \| 105,296,671 \| 1,229,518 \| 5 row 4 : april \| "cherry blossom ending" \| busker busker \| 169,546,447 \| 1,570,146 \| 2 row 5 : may \| "twinkle" \| girls' generation-tts \| 119,415,981 \| 997,122 \| 11 row 6 : june \| "like this" \| wonder girls \| 138,592,996 \| 1,444,339 \| 18 row 7 : july \| "i love you" \| 2ne1 \| 151,627,608 \| 1,522,263 \| 6 row 8 : august \| "gangnam style" \| psy \| 150,855,485 \| 1,280,050 \| 1 row 9 : september \| "all for you" \| jung eunji & seo \| 113,858,049 \| 1,037,911 \| 8 row 10 : october \| "bloom" \| gain \| 115,479,048 \| 1,182,829 \| 42 row 11 : november \| "1, 2, 3, 4" \| lee hi \| 132,391,547 \| 1,210,297 \| 23 row 12 : december \| "return" \| lee seung gi \| 110,364,099 \| 896,196 \| 37 ] Execute this SQL based on the above table: select ( select song where song = '"cherry blossom ending"' ) = ( select song where song = '"twinkle"' )	0
[ header: month \| jan \| feb \| mar \| apr \| may \| jun \| jul \| aug \| sep \| oct \| nov \| dec \| year row 1 : record high °c (°f) \| 10.8 (51.4) \| 10.7 (51.3) \| 25.7 (78.3) \| 29.2 (84.6) \| 35.4 (95.7) \| 38.3 (100.9) \| 36.7 (98.1) \| 40.0 (104) \| 35.1 (95.2) \| 27.8 (82) \| 21.0 (69.8) \| 12.9 (55.2) \| 40.0 (104) row 2 : average high °c (°f) \| -8.5 (16.7) \| -6.2 (20.8) \| 1.6 (34.9) \| 11.6 (52.9) \| 18.1 (64.6) \| 22.1 (71.8) \| 25.2 (77.4) \| 24.6 (76.3) \| 18.6 (65.5) \| 10.8 (51.4) \| -0.2 (31.6) \| -6.6 (20.1) \| 9.3 (48.7) row 3 : daily mean °c (°f) \| -14.5 (5.9) \| -11.6 (11.1) \| -4.1 (24.6) \| 4.8 (40.6) \| 11.0 (51.8) \| 15.5 (59.9) \| 18.1 (64.6) \| 17.3 (63.1) \| 11.6 (52.9) \| 4.1 (39.4) \| -5.2 (22.6) \| -11.9 (10.6) \| 4.9 (40.8) row 4 : average low °c (°f) \| -19.0 (-2.2) \| -16.9 (1.6) \| -9.4 (15.1) \| -2.1 (28.2) \| 3.8 (38.8) \| 8.8 (47.8) \| 11.0 (51.8) \| 10.0 (50) \| 4.4 (39.9) \| -2.5 (27.5) \| -10.4 (13.3) \| -17.1 (1.2) \| -3.3 (26.1) row 5 : record low °c (°f) \| -40.4 (-40.7) \| -43.4 (-46.1) \| -34.7 (-30.5) \| -17.4 (0.7) \| -11.4 (11.5) \| -2.3 (27.9) \| 3.4 (38.1) \| -0.0 (32) \| -10.7 (12.7) \| -26.3 (-15.3) \| -36.1 (-33) \| -40.4 (-40.7) \| -43.4 (-46.1) row 6 : precipitation mm (inches) \| 10.9 (0.429) \| 6.7 (0.264) \| 11.7 (0.461) \| 23.5 (0.925) \| 40.3 (1.587) \| 67.0 (2.638) \| 58.4 (2.299) \| 43.8 (1.724) \| 28.8 (1.134) \| 13.2 (0.52) \| 10.6 (0.417) \| 12.7 (0.5) \| 327.6 (12.898) row 7 : rainfall mm (inches) \| 0.3 (0.012) \| 0.3 (0.012) \| 1.7 (0.067) \| 15.6 (0.614) \| 38.3 (1.508) \| 67.0 (2.638) \| 58.7 (2.311) \| 43.8 (1.724) \| 28.5 (1.122) \| 8.3 (0.327) \| 1.9 (0.075) \| 0.2 (0.008) \| 264.6 (10.417) ] Execute this SQL based on the above table: select count ( month ) where jul > 1566	7
[ header: date \| opponent \| venue \| result \| attendance \| scorers row 1 : 15 august 1987 \| derby county \| away \| 0-1 \| 17204 \| None row 2 : 18 august 1987 \| coventry city \| home \| 0-1 \| 9380 \| None row 3 : 22 august 1987 \| west ham united \| home \| 2-2 \| 8073 \| harford (2) row 4 : 29 august 1987 \| chelsea \| away \| 0-3 \| 16075 \| None row 5 : 31 august 1987 \| arsenal \| home \| 1-1 \| 8745 \| wilson (pen) row 6 : 5 september 1987 \| oxford united \| away \| 5-2 \| 6804 \| breacker, harford, hill row 7 : 12 september 1987 \| everton \| home \| 2-1 \| 8124 \| hill, b. stein row 8 : 19 september 1987 \| charlton athletic \| away \| 0-1 \| 5002 \| None row 9 : 26 september 1987 \| queens park rangers \| away \| 0-2 \| 11175 \| None row 10 : 3 october 1987 \| manchester united \| home \| 1-1 \| 9137 \| harford row 11 : 10 october 1987 \| portsmouth \| away \| 1-3 \| 12391 \| harford (pen) row 12 : 17 october 1987 \| wimbledon \| home \| 2-0 \| 7018 \| b. stein, wilson row 13 : 24 october 1987 \| liverpool \| home \| 0-1 \| 11997 \| None row 14 : 7 november 1987 \| newcastle united \| home \| 4-0 \| 7638 \| nwajiobi, b. row 15 : 5 december 1987 \| norwich city \| home \| 1-2 \| 7002 \| b. stein row 16 : 12 december 1987 \| watford \| away \| 1-0 \| 12152 \| foster row 17 : 26 december 1987 \| everton \| away \| 0-2 \| 32128 \| None row 18 : 28 december 1987 \| charlton athletic \| home \| 1-0 \| 7243 \| wilson row 19 : 1 january 1988 \| chelsea \| home \| 3-0 \| 8018 \| harford, b. stein, row 20 : 2 january 1988 \| west ham united \| away \| 1-1 \| 16716 \| m. stein row 21 : 6 february 1988 \| oxford united \| home \| 7-4 \| 8063 \| harford (2), mcdonough row 22 : 13 february 1988 \| arsenal \| away \| 1-2 \| 22612 \| m.stein row 23 : 5 march 1988 \| wimbledon \| away \| 0-2 \| 4854 \| None row 24 : 15 march 1988 \| coventry city \| away \| 0-4 \| 13711 \| None row 25 : 29 march 1988 \| portsmouth \| home \| 4-1 \| 6740 \| b.stein, m.stein, row 26 : 2 april 1988 \| newcastle united \| away \| 0-4 \| 20752 \| None row 27 : 5 april 1988 \| sheffield wednesday \| home \| 2-2 \| 7337 \| mcdonough, b. row 28 : 12 april 1988 \| manchester united \| away \| 0-3 \| 28830 \| None row 29 : 19 april 1988 \| queens park rangers \| home \| 2-1 \| 6735 \| foster, wilson (pen) row 30 : 30 april 1988 \| norwich city \| away \| 2-2 \| 13171 \| m. stein, wilson row 31 : 4 may 1988 \| tottenham hotspur \| away \| 1-2 \| 15437 \| grimes row 32 : 9 may 1988 \| liverpool \| away \| 1-1 \| 30374 \| oldfield ] Execute this SQL based on the above table: select attendance where attendance = 17204	17204.0
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1990 \| pan american race walking cup \| xalapa, mexico \| 25th \| 20 km \| 1:48:49 row 2 : 1993 \| central american and caribbean games \| ponce, puerto rico \| 3rd \| 20 km \| 1:29:43 row 3 : 1994 \| central american games \| san salvador, el \| 1st \| 20 km \| 1:27:45 row 4 : 1995 \| pan american games \| mar del plata, argentina \| 3rd \| 20 km \| 1:23:50 row 5 : 1995 \| central american and caribbean championships \| ciudad de guatemala, \| 2nd \| 20 km \| 1:25:10 a row 6 : 1996 \| olympic games \| atlanta, georgia \| dsq \| 20 km \| None row 7 : 1997 \| world race walking cup \| podebrady, czech \| 5th \| 20 km \| 1:18:51 row 8 : 1997 \| central american and caribbean championships \| san juan, puerto \| 1st \| 20 km \| 1:26:24.40 cr row 9 : 1997 \| world championships \| athens, greece \| dsq \| 20 km \| None row 10 : 1997 \| central american games \| san pedro sul \| 1st \| 20 km \| 1:35:45 row 11 : 1998 \| ibero-american championships \| lisbon, portugal \| 2nd \| 20 km \| 1:26:25 row 12 : 1998 \| central american and caribbean games \| maracaibo, venezu \| 3rd \| 20 km \| 1:25:31 row 13 : 1999 \| world championships \| seville, spain \| dsq \| 20 km \| None row 14 : 2000 \| olympic games \| sydney, australia \| 43rd \| 20 km \| 1:31:47 row 15 : 2001 \| central american and caribbean championships \| guatemala city, guate \| 3rd \| 20 km \| 1:29:47 a row 16 : 2003 \| central american and caribbean championships \| st. george's, \| 1st \| 18,000 m \| 1:22:07 row 17 : 2003 \| pan american games \| santo domingo, dominican \| dsq \| 20 km \| None row 18 : 2003 \| pan american games \| santo domingo, dominican \| dnf \| 50 km \| None row 19 : 2003 \| world championships \| paris, france \| dsq \| 20 km \| None row 20 : 2004 \| world race walking cup \| naumburg, germany \| 15th \| 50 km \| 3:56:19 row 21 : 2004 \| olympic games \| athens, greece \| dsq \| 50 km \| None row 22 : 2004 \| central american championships \| managua, nicaragua \| 3rd \| 20 km \| 1:33:20.46 row 23 : 2005 \| central american and caribbean championships \| nassau, bahamas \| 1st \| 20,000 m \| 1:30:38.07 row 24 : 2005 \| world championships \| helsinki, finland \| 12th \| 50 km \| 3:57:56 row 25 : 2006 \| ibero-american championships \| ponce, puerto rico \| None \| 20,000 m \| dq row 26 : 2006 \| central american and caribbean games \| cartagena, colombia \| 5th \| 20 km \| 1:33:00 row 27 : 2007 \| central american championships \| san jose, costa ric \| 3rd \| 20 km \| 1:27:30.42 ] Execute this SQL based on the above table: select max ( year )	2007
[ header: coach \| years \| seasons \| wins \| losses \| ties \| pct row 1 : o. b. "rip" \| 1908 \| 1 \| 5 \| 1 \| 0 \| 0.833 row 2 : ed sabre \| 1920 \| 1 \| 3 \| 1 \| 0 \| 0.75 row 3 : mack erwin \| 1957-60 \| 4 \| 62 \| 30 \| 1 \| 0.672 row 4 : chal port \| 1965-91 \| 27 \| 641 \| 386 \| 2 \| 0.624 row 5 : fred jordan \| 1992-pres \| 22 \| 726 \| 552 \| 0 \| 0.568 row 6 : john d. mcmillan \| 1952-53 \| 2 \| 14 \| 15 \| 0 \| 0.483 row 7 : jim newsome \| 1961-64 \| 4 \| 37 \| 43 \| 0 \| 0.463 row 8 : bunzy o'neal \| 1948 \| 1 \| 6 \| 7 \| 0 \| 0.462 row 9 : george c. rogers \| 1914-15, 1921-24 \| 6 \| 26 \| 33 \| 1 \| 0.441 row 10 : fred montsdeoca \| 1954-56 \| 2 \| 22 \| 31 \| 0 \| 0.415 row 11 : george a. schmick \| 1910 \| 1 \| 4 \| 6 \| 0 \| 0.4 row 12 : thomas s. mc \| 1916, 1919 \| 2 \| 8 \| 12 \| 0 \| 0.4 row 13 : harold manley \| 1954 \| 1 \| 5 \| 9 \| 0 \| 0.357 row 14 : "barney" legge \| 1911 \| 1 \| 2 \| 5 \| 1 \| 0.286 row 15 : h. l. "matty" \| 1926-30, 37-38 \| 3 \| 10 \| 25 \| 1 \| 0.286 row 16 : dusty rhodes \| 1947 \| 1 \| 2 \| 5 \| 0 \| 0.286 row 17 : "shorty" o'brien \| 1918 \| 1 \| 3 \| 9 \| 0 \| 0.25 row 18 : "bull dog" drummond \| 1925 \| 1 \| 2 \| 7 \| 0 \| 0.222 ] Execute this SQL based on the above table: select coach where id = ( select id where coach = 'thomas s. mcmillan' ) - 1	george a. schmick
[ header: issue \| volume \| title \| main feature story \| first/early appearance story/stories \| release date row 1 : 1 \| 24 \| the avengers \| ultron unlimited (avengers vol \| the coming of the avengers ( \| 27 dec 2013 row 2 : 2 \| 12 \| spider-man \| happy birthday (amazing spider-man vol \| spider-man (amazing fantasy #15) \| 15 jan 2014 row 3 : 3 \| 55 \| wolverine \| get mystique (wolverine \| and now... the wolverine (in \| 29 jan 2014 row 4 : 4 \| 29 \| hawkeye \| hawkeye (hawkeye vol.1 #1 \| hawkeye, the marskman (tale \| 12 feb 2014 row 5 : 5 \| 10 \| the hulk \| dogs of war (the incredible hulk \| none \| 26 feb 2014 row 6 : 6 \| 22 \| jean grey \| here comes yesterday (all-new x- \| x-men origins: jean grey \| 12 mar 2014 row 7 : 7 \| 49 \| power man \| power man and iron fist #50- \| luke cage #1-3 \| 26 mar 2014 row 8 : 8 \| tbc \| captain america \| captain america #247-255 \| None \| 9 apr 2014 row 9 : 9 \| tbc \| iron man \| the five nightmares (iron man (vol. \| tales of suspense #39 \| 23 apr 2014 row 10 : 10 \| tbc \| the x-men \| x-men: children of the atom \| x-men (vol. 1) #1 \| 7 may 2014 row 11 : 11 \| tbc \| black widow \| tbc \| tbc \| 21 may 2014 row 12 : 12 \| tbc \| the human torch (jim hammond) \| tbc \| tbc \| 4 june 2014 row 13 : 13 \| tbc \| warriors three \| tbc \| tbc \| 18 june 2014 row 14 : 14 \| tbc \| cyclops \| tbc \| tbc \| 2 july 2014 row 15 : 15 \| tbc \| captain marvel \| tbc \| tbc \| 16 july 2014 ] Execute this SQL based on the above table: select title where first/early appearance story/stories = 'luke cage #1-3'	power man
[ header: no. \| date \| location \| surface \| opponent in final \| score row 1 : 1 \| 28 august 2000 \| spoleto, italy $10,000 \| clay \| maret ani \| 6-2 7-6(7) row 2 : 2 \| 9 april 2001 \| san luis potosi, \| clay \| martina muller \| 6-4 7-5 row 3 : 3 \| 16 april 2001 \| coatzacoalcos, mexico \| hard \| gabriela volekova \| 6-1 6-3 row 4 : 4 \| 15 october 2002 \| sedona, usa $25,000 \| hard \| brie rippner \| 6-3 4-6 6-3 row 5 : 5 \| 5 november 2002 \| pittsburgh, usa $50,000 \| hard \| maria sharapova \| 7-6(4) 6-2 row 6 : 6 \| 14 april 2003 \| san luis potosi, \| clay \| maria vanina garcia sokol \| 6-0 6-4 row 7 : 7 \| 27 april 2009 \| cagnes-sur-mer, france \| clay \| zuzana ondraskova \| 6-1 6-2 row 8 : 8 \| 1 june 2009 \| nottingham, england $50,000 \| grass \| stefanie vogele \| 6-2 4-6 6-1 ] Execute this SQL based on the above table: select opponent in final group by opponent in final order by count ( surface ) desc limit 1	zuzana ondraskova
[ header: year \| winner \| jockey \| trainer \| owner \| breeder row 1 : 1919 \| sir barton \| johnny loftus \| h. guy bedwell \| j. k. l. \| None row 2 : 1930 \| gallant fox \| earl sande \| jim fitzsimmons \| belair stud \| belair stud row 3 : 1935 \| omaha \| willie saunders \| jim fitzsimmons \| belair stud \| belair stud row 4 : 1937 \| war admiral \| charley kurtsinger \| george h. conway \| samuel d. rid \| samuel d. rid row 5 : 1941 \| whirlaway \| eddie arcaro \| ben a. jones \| calumet farm \| calumet farm row 6 : 1943 \| count fleet \| johnny longden \| don cameron \| fannie hertz \| fannie hertz row 7 : 1946 \| assault \| warren mehrtens \| max hirsch \| king ranch \| king ranch row 8 : 1948 \| citation \| eddie arcaro \| horace a. jones \| calumet farm \| calumet farm row 9 : 1973 \| secretariat \| ron turcotte \| lucien laurin \| meadow stable \| meadow stud row 10 : 1977 \| seattle slew \| jean cruguet \| william h. turner, \| karen l. tay \| ben s. castleman row 11 : 1978 \| affirmed \| steve cauthen \| laz barrera \| harbor view farm \| harbor view farm ] Execute this SQL based on the above table: select count ( * ) where breeder = 'None'	0
[ 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 count ( distinct years won ) where winners = 4	4
[ header: rank \| circuit \| headquarters \| screens \| sites row 1 : 1 \| regal entertainment group \| knoxville,tn \| 7318 \| 574 row 2 : 2 \| amc entertainment inc \| kansas city, mo \| 4988 \| 344 row 3 : 3 \| cinemark theatres \| plano, tx \| 4434 \| 332 row 4 : 4 \| carmike cinemas, inc \| columbus, ga \| 2476 \| 249 row 5 : 5 \| cineplex entertainment \| toronto, on \| 1672 \| 136 row 6 : 6 \| marcus theatres \| milwaukee, wi \| 687 \| 55 row 7 : 7 \| harkins theatres \| phoenix, az \| 440 \| 31 row 8 : 8 \| national amusements \| dedham, ma \| 423 \| 32 row 9 : 9 \| bow tie cinemas \| ridgefield, ct \| 388 \| 63 row 10 : 10 \| georgia theatre company \| st. simon's island, \| 326 \| 32 ] Execute this SQL based on the above table: select max ( sites ) where sites > 0	574.0
[ header: year \| track \| number \| team \| car \| round result row 1 : 1996 \| pukekohe park raceway \| 1 \| holden racing team \| holden vr commodore \| 1st row 2 : 2001 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vx commodore \| 1st row 3 : 2002 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vx commodore \| 1st row 4 : 2003 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vy commodore \| 1st row 5 : 2004 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vy commodore \| 3rd row 6 : 2005 \| pukekohe park raceway \| 51 \| paul weel racing \| holden vz commodore \| 1st row 7 : 2006 \| pukekohe park raceway \| 51 \| paul weel racing \| holden vz commodore \| 15th row 8 : 2007 \| pukekohe park raceway \| 51 \| tasman motorsport \| holden ve commodore \| 11th row 9 : 2008 \| hamilton street circuit \| 51 \| tasman motorsport \| holden ve commodore \| 25th row 10 : 2009 \| hamilton street circuit \| 51 \| tasman motorsport \| holden ve commodore \| 22nd row 11 : 2010 \| hamilton street circuit \| 51 \| paul morris motorsport \| holden ve commodore \| 14th row 12 : 2011 \| hamilton street circuit \| 11 \| pepsi max crew \| holden ve commodore \| 24th row 13 : 2012 \| hamilton street circuit \| 51 \| pepsi max crew \| holden ve commodore \| 24th ] Execute this SQL based on the above table: select round result where id = ( select id where round result = '24th' ) - 1	14th
[ header: jurisdiction \| adherents \| bishops \| priests \| monastics \| monasteries \| parishes row 1 : constantinople (details) \| 5200000 \| 125 \| None \| 1800 \| 142 \| 648 row 2 : alexandria (details \| 1200000 \| 41 \| None \| None \| None \| None row 3 : antioch (details) \| 2000000 \| 36 \| None \| None \| None \| None row 4 : jerusalem (details) \| 700000 \| 20 \| None \| None \| None \| None row 5 : russia (details) \| 150000000 \| 217 \| 30675 \| None \| 807 \| 30142 row 6 : georgia (details) \| 3500000 \| 37 \| 437 \| None \| None \| 600 row 7 : bulgaria (details) \| 10000000 \| 15 \| 1500 \| None \| 120 \| 2600 row 8 : serbia (details) \| 11000000 \| 44 \| None \| None \| 49 \| 3100 row 9 : romania (details) \| 17000000 \| 53 \| 15068 \| 7605 \| 359 \| 15717 row 10 : cyprus (details) \| 700000 \| 16 \| None \| None \| 67 \| None row 11 : greece (details) \| 6000000 \| 101 \| 10000 \| 3541 \| 541 \| None row 12 : albania (details) \| 700000 \| 6 \| 135 \| None \| 150 \| 909 row 13 : poland (details) \| 600000 \| 12 \| None \| None \| None \| 400 row 14 : czech lands & s \| 100000 \| 6 \| None \| None \| None \| 172 row 15 : orthodox church in america (details \| 85000 \| 10 \| None \| None \| 20 \| 700 row 16 : total \| 208785000 \| 729 \| 54382 \| 12946 \| 2236 \| 54239 ] Execute this SQL based on the above table: select jurisdiction group by jurisdiction order by count ( * ) desc limit 1	total
[ header: # \| name \| birth and death \| office started \| office ended row 1 : 1 \| geir vidalin \| 27 october 1761 - \| 1801 \| 1823 row 2 : 2 \| steingrimur jonsson \| None \| 1824 \| 1845 row 3 : 3 \| helgi thordersen \| 8 april 1794 - 4 \| 1846 \| 1866 row 4 : 4 \| 'petur petursson \| 3 october 1808 - \| 1866 \| 1889 row 5 : 5 \| hallgrimur sveinsson \| 5 april 1841 - 16 \| 1889 \| 1908 row 6 : 6 \| þorhallur bjarnar \| 2 december 1855 - 15 de \| 1908 \| 1916 row 7 : 7 \| jon helgason \| 1866 - 1942 \| 1917 \| 1939 row 8 : 8 \| sigurgeir sigurðsson \| 3 august 1890 - 13 oc \| 1939 \| 1953 row 9 : 9 \| asmundur guðmunds \| 6 october 1888 re \| 1954 \| 1989 row 10 : 10 \| sigurbjorn einarsson \| 30 june 1911 vestur-skaf \| 1959 \| 1981 row 11 : 11 \| petur sigurgeirsson (son \| 2 june 1919 - 3 jun \| 1981 \| 1989 row 12 : 12 \| olafur skulason \| 29 december 1929 - 9 jun \| 1989 \| 1997 row 13 : 13 \| karl sigurbjornsson ( \| 5 february 1947 reykja \| 1998 \| 2012 row 14 : 14 \| agnes sigurðardottir \| 19 october 1954 isaf \| 24 june 2012 \| incumbent ] Execute this SQL based on the above table: select office ended order by # desc limit 1	incumbent
[ header: occasion # \| location \| date \| gold \| time \| silver \| time \| bronze \| time \| report row 1 : 1 \| chelyabinsk, russia \| 18 november \| pekka koskela finland \| 35 \| jan smeekens nether \| 35.01 \| yuya oikawa \| 35.07 \| row 2 : 1 \| chelyabinsk, russia \| 19 november \| joji kato japan \| 34.92 \| mo tae-bum south \| 35.01 \| yuya oikawa \| 35.14 \| row 3 : 2 \| astana, kazakhstan \| 25 november \| mo tae-bum south \| 34.89 \| tucker fredricks united \| 34.94 \| stefan groothuis nether \| 35.01 \| row 4 : 2 \| astana, kazakhstan \| 26 november \| jan smeekens nether \| 35.05 \| mo tae-bum south \| 35.06 \| tucker fredricks united \| 35.19 \| row 5 : 3 \| heerenveen, netherlands \| 2 december \| tucker fredricks united \| 34.98 \| joji kato japan \| 35.07 \| mo tae-bum south \| 35.08 \| row 6 : 3 \| heerenveen, netherlands \| 3 december \| pekka koskela finland \| 35.01 \| joji kato japan \| 35.02 \| jesper hospes netherlands \| 35.06 \| row 7 : 4 \| salt lake city, united states \| 21 january \| keiichiro nagashim \| 34.37 \| jan smeekens nether \| 34.4 \| tucker fredricks united \| 34.45 \| row 8 : 4 \| salt lake city, united states \| 22 january \| dmitry lobkov russia \| 34.54 \| keiichiro nagashim \| 34.57 \| tucker fredricks united \| 34.6 \| row 9 : 6 \| heerenveen, netherlands \| 2 march \| dmitry lobkov russia \| 35.11 \| hein otterspeer net \| 35.14 \| keiichiro nagashim \| 35.2 \| row 10 : 6 \| heerenveen, netherlands \| 3 march \| tucker fredricks united \| 35.05 \| michel mulder netherlands \| 35.12 \| joji kato japan \| 35.16 \| row 11 : 7 \| berlin, germany \| 9 march \| jamie gregg canada \| 35.06 \| pekka koskela finland \| 35.07 \| mo tae-bum south \| 35.17 \| row 12 : 7 \| berlin, germany \| 10 march \| michel mulder netherlands \| 35.01 \| mo tae-bum south \| 35.04 \| jan smeekens nether \| 35.08 \| ] Execute this SQL based on the above table: select abs ( ( select time where date = '22 january' ) - ( select time where date = '22 january' ) )	0.0
[ header: state \| title \| name \| entered office row 1 : barbados \| speaker of the house of assembly \| sir theodore brancker \| 1961 row 2 : bolivia \| president of the senate \| None \| 1970 row 3 : bolivia \| president of the chamber of deputies \| None \| 1970 row 4 : brazil \| president of the chamber of deputies \| geraldo freire da sil \| 1970 row 5 : canada \| speaker of the senate \| hon. jean-paul de \| september 5, 1968 row 6 : chile \| president of the senate \| tomas pablo elorza \| 1969 row 7 : chile \| president of the chamber of deputies \| fernando humberto andre \| july 20, 1970 row 8 : colombia \| president of the chamber of representatives \| None \| None row 9 : dominican republic \| president of assembly \| pedro valdez ? \| 1966 ? row 10 : ecuador \| president of the senate \| None \| None row 11 : ecuador \| president of the chamber of deputies \| None \| None row 12 : el salvador \| president of the legislative assembly \| dr. benjamin iter \| 1970 ? row 13 : guatemala \| president of the congress \| mario sandoval alarcon \| 1970 row 14 : guyana \| speaker of the legislative assembly \| hon. rahman bacchus \| 1968 row 15 : haiti \| president of the national assembly \| ulrick st. louis \| None row 16 : jamaica \| president of the senate \| g. s. ranglin \| december 7, 1962 row 17 : jamaica \| speaker of the house of representatives \| eugene parkinson \| 1967 row 18 : mexico \| president of the senate \| lic. manuel aguirre[ \| 1967 ? row 19 : mexico \| president of the federal chamber of deputies \| lic. luis farias \| 1967 ? row 20 : nicaragua \| president of the senate \| dr. adrian cua \| None row 21 : nicaragua \| president of the chamber of deputies \| dr. orlando monten \| None row 22 : trinidad and tobago \| president of the senate \| j. hamilton maurice \| december 29, 1961 row 23 : trinidad and tobago \| speaker of the house of representatives \| a. c. thomas \| december 29, 1961 row 24 : usa \| president of the senate (the vice \| spiro agnew \| january 20, 1969 row 25 : usa \| speaker of the house of representatives \| john william mccormack \| january 10, 1962 row 26 : puerto rico \| president of the senate \| rafael hernand \| 1969 row 27 : uruguay \| president of the senate (the vice \| dr. alberto abdal \| december 6, 1967 row 28 : uruguay \| president of the chamber of deputies \| fernando elichirigo \| march 1, 1970 row 29 : venezuela \| president of the senate \| dr. jose a. per \| 1968 ? row 30 : venezuela \| president of the chamber of deputies \| prof. jorge dargen ? \| 1968 ? ] Execute this SQL based on the above table: select count ( * ) where title = 'president of the senate'	9
[ header: ethnicity \| 1926 census \| 1939 census \| 1959 census \| 1970 census \| 1979 census \| 1989 census \| 2007 estimate row 1 : ossetians \| 60,351 (69.1%) \| 72,266 (68.1%) \| 63,698 (65.8%) \| 66,073 (66.5%) \| 65,077 (66.4%) \| 65,200 (65.9%) \| 47,000 (67.1%) row 2 : georgians \| 23,538 (26.9%) \| 27,525 (25.9%) \| 26,584 (27.5%) \| 28,125 (28.3%) \| 28,187 (28.8%) \| 28,700 (29.0%) \| 17,500 (25.0%) row 3 : russians \| 157 (0.2%) \| 2,111 (2.0%) \| 2,380 (2.5%) \| 1,574 (1.6%) \| 2,046 (2.1%) \| 2,128 (2.1%) \| 2,100 (3.0%) row 4 : armenians \| 1,374 (1.6%) \| 1,537 (1.4%) \| 1,555 (1.6%) \| 1,254 (1.3%) \| 953 (1.0%) \| 871 (0.9%) \| 900 (1.3%) row 5 : jews \| 1,739 (2.0%) \| 1,979 (1.9%) \| 1,723 (1.8%) \| 1,485 (1.5%) \| 654 (0.7%) \| 648 (0.7%) \| 650 (0.9%) row 6 : others \| 216 (0.2%) \| 700 (0.7%) \| 867 (0.9%) \| 910 (0.9%) \| 1,071 (1.1%) \| 1,453 (1.5%) \| 1,850 (2.6%) row 7 : total \| 87375 \| 106118 \| 96807 \| 99421 \| 97988 \| 99000 \| 70000 ] Execute this SQL based on the above table: select 1989 census where ethnicity = 'russians'	2,128 (2.1%)
[ header: name \| status \| population \| district \| former local authority row 1 : cronton \| civil parish \| 1379 \| knowsley \| whiston rural district row 2 : halewood \| town \| 20309 \| knowsley \| whiston rural district row 3 : huyton with roby \| unparished area \| 49859 \| knowsley \| huyton with roby urban district row 4 : kirkby \| unparished area \| 40374 \| knowsley \| kirkby urban district row 5 : knowsley \| civil parish \| 11343 \| knowsley \| whiston rural district row 6 : prescot \| town \| 11184 \| knowsley \| prescot urban district row 7 : tarbock \| civil parish \| 2382 \| knowsley \| whiston rural district row 8 : whiston \| town \| 13629 \| knowsley \| whiston rural district row 9 : liverpool \| unparished area \| 439473 \| liverpool \| liverpool county borough row 10 : aintree village \| civil parish \| 7126 \| sefton \| west lancashire rural district row 11 : crosby \| unparished area \| 45872 \| sefton \| crosby municipal borough row 12 : formby \| civil parish \| 23586 \| sefton \| formby urban district row 13 : hightown \| civil parish \| 2247 \| sefton \| crosby municipal borough row 14 : ince blundell \| civil parish \| 518 \| sefton \| west lancashire rural district row 15 : little altcar \| civil parish \| 892 \| sefton \| west lancashire rural district row 16 : lydiate \| civil parish \| 6672 \| sefton \| west lancashire rural district row 17 : maghull \| town \| 22225 \| sefton \| west lancashire rural district row 18 : melling \| civil parish \| 2810 \| sefton \| west lancashire rural district row 19 : sefton \| civil parish \| 772 \| sefton \| west lancashire rural district row 20 : southport \| unparished area \| 90336 \| sefton \| southport county borough row 21 : thornton \| civil parish \| 2262 \| sefton \| west lancashire rural district row 22 : billinge chapel end \| civil parish \| 6554 \| st helens \| billinge and winstanley urban district row 23 : eccleston \| civil parish \| 10528 \| st helens \| whiston rural district row 24 : haydock \| unparished area \| 15684 \| st helens \| haydock urban district row 25 : newton le willows \| unparished area \| 21418 \| st helens \| newton le willows urban district row 26 : rainford \| civil parish \| 8344 \| st helens \| rainford urban district row 27 : rainhill \| civil parish \| 11913 \| st helens \| whiston rural district row 28 : seneley green \| civil parish \| 6163 \| st helens \| ashton in makerfield urban district row 29 : st helens \| unparished area \| 91414 \| st helens \| st helens county row 30 : windle \| civil parish \| 2542 \| st helens \| whiston rural district row 31 : bebington \| unparished area \| 58226 \| wirral \| bebington municipal borough row 32 : birkenhead \| unparished area \| 103206 \| wirral \| birkenhead county borough row 33 : heswall \| unparished area \| 29977 \| wirral \| wirral urban district row 34 : hoylake \| unparished area \| 35655 \| wirral \| hoylake urban district row 35 : wallasey \| unparished area \| 84348 \| wirral \| wallasey county borough ] Execute this SQL based on the above table: select former local authority where former local authority != 'billinge and winstanley urban district' and district = 'sefton' and population = 2247	crosby municipal borough
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| united states (usa) \| 5 \| 0 \| 0 \| 5 row 2 : 2 \| italy (ita) \| 1 \| 1 \| 1 \| 3 row 3 : 3 \| poland (pol) \| 1 \| 1 \| 0 \| 2 row 4 : 4 \| finland (fin) \| 1 \| 0 \| 4 \| 5 row 5 : 5 \| czechoslovakia (t \| 1 \| 0 \| 0 \| 1 row 6 : 5 \| hungary (hun) \| 1 \| 0 \| 0 \| 1 row 7 : 7 \| soviet union (urs) \| 0 \| 2 \| 4 \| 6 row 8 : 8 \| south africa (rsa) \| 0 \| 1 \| 3 \| 4 row 9 : 9 \| argentina (arg) \| 0 \| 1 \| 1 \| 2 row 10 : 9 \| germany (ger) \| 0 \| 1 \| 1 \| 2 row 11 : 9 \| romania (rou) \| 0 \| 1 \| 1 \| 2 row 12 : 9 \| sweden (swe) \| 0 \| 1 \| 1 \| 2 row 13 : 13 \| ireland (irl) \| 0 \| 1 \| 0 \| 1 row 14 : 14 \| bulgaria (bul) \| 0 \| 0 \| 1 \| 1 row 15 : 14 \| denmark (den) \| 0 \| 0 \| 1 \| 1 row 16 : 14 \| france (fra) \| 0 \| 0 \| 1 \| 1 row 17 : 14 \| south korea (kor) \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select silver where silver in ( 1 , 1 ) order by bronze desc limit 1	1
[ header: \| district \| headquarters \| population (2011) \| males \| females \| percentage decadal growth 2001-2011 \| sex ratio \| density (persons per km2) \| child population 0-6 years \| child sex ratio \| literacy rate row 1 : 1 \| angul \| angul \| 1271703 \| 654898 \| 616805 \| 11.55 \| 942 \| 199 \| 145690 \| 884 \| 78.96 row 2 : 3 \| balasore \| baleswar \| 2317419 \| 1184371 \| 1133048 \| 14.47 \| 957 \| 609 \| 274432 \| 941 \| 80.66 row 3 : 4 \| bargarh \| bargarh \| 1478833 \| 748332 \| 730501 \| 9.84 \| 976 \| 253 \| 156185 \| 946 \| 75.16 row 4 : 5 \| bhadrak \| bhadrak \| 1506522 \| 760591 \| 745931 \| 12.95 \| 981 \| 601 \| 176793 \| 931 \| 83.25 row 5 : 7 \| cuttack \| cuttack \| 2618708 \| 1339153 \| 1279555 \| 11.87 \| 955 \| 666 \| 251152 \| 913 \| 84.2 row 6 : 9 \| dhenkanal \| dhenkanal \| 1192948 \| 612597 \| 580351 \| 11.82 \| 947 \| 268 \| 132647 \| 870 \| 79.41 row 7 : 11 \| ganjam \| chhatrapur \| 3520151 \| 1777324 \| 1742827 \| 11.37 \| 981 \| 429 \| 397920 \| 899 \| 71.88 row 8 : 12 \| jagatsinghpur \| jagatsinghpur \| 1136604 \| 577699 \| 558905 \| 7.44 \| 967 \| 681 \| 103517 \| 929 \| 87.13 row 9 : 13 \| jajpur \| jajpur \| 1826275 \| 926058 \| 900217 \| 12.43 \| 972 \| 630 \| 207310 \| 921 \| 80.44 row 10 : 14 \| jharsuguda \| jharsuguda \| 579499 \| 297014 \| 282485 \| 12.56 \| 951 \| 274 \| 61823 \| 938 \| 78.36 row 11 : 16 \| kandhamal \| phulbani \| 731952 \| 359401 \| 372551 \| 12.92 \| 1037 \| 91 \| 106379 \| 960 \| 65.12 row 12 : 19 \| khordha \| khordha \| 2246341 \| 1166949 \| 1079392 \| 19.65 \| 925 \| 799 \| 222275 \| 910 \| 87.51 row 13 : 21 \| malkangiri \| malkangiri \| 612727 \| 303913 \| 308814 \| 21.53 \| 1016 \| 106 \| 105636 \| 979 \| 49.49 row 14 : 23 \| nabarangapur \| nabarangpur \| 1218762 \| 604046 \| 614716 \| 18.81 \| 1018 \| 230 \| 201901 \| 988 \| 48.2 row 15 : 26 \| puri \| puri \| 1697983 \| 865209 \| 832774 \| 13 \| 963 \| 488 \| 164388 \| 924 \| 85.37 row 16 : 28 \| sambalpur \| sambalpur \| 1044410 \| 529424 \| 514986 \| 12.24 \| 973 \| 158 \| 112946 \| 931 \| 76.91 row 17 : 30 \| sundergarh \| sundergarh \| 2080664 \| 1055723 \| 1024941 \| 13.66 \| 971 \| 214 \| 249020 \| 937 \| 74.13 ] Execute this SQL based on the above table: select density (persons per km2) where district = 'bargarh'	253.0
[ header: city \| country \| iata \| icao \| airport \| commenced \| ended row 1 : bangkok \| thailand \| bkk \| vtbs \| suvarnabhumi airport \| 2004 \| present row 2 : chennai \| india \| maa \| vomm \| chennai international airport \| 2007 \| present row 3 : chiang mai \| thailand \| cnx \| vtcc \| chiang mai international airport \| 2005 \| 2008 row 4 : da nang \| vietnam \| dad \| vvdn \| da nang international airport \| 2006 \| 2006 row 5 : dhaka \| bangladesh \| dac \| vghs \| shahjalal international airport \| 2012 \| present row 6 : guangzhou \| china \| can \| zggg \| guangzhou baiyun international airport \| 2006 \| present row 7 : haikou \| china \| hak \| zjhk \| haikou meilan international airport \| 2006 \| present row 8 : hat yai \| thailand \| hdy \| vtss \| hat yai international airport \| 2004 \| present row 9 : ho chi minh city \| vietnam \| sgn \| vvts \| tan son nhat international airport \| 2005 \| present row 10 : hong kong \| hong kong \| hkg \| vhhh \| hong kong international airport \| 2010 \| present row 11 : hyderabad \| india \| hyd \| vohs \| rajiv gandhi international \| 2012 \| present row 12 : kochi \| india \| cok \| voci \| cochin international airport \| 2012 \| present row 13 : krabi \| thailand \| kbv \| vtsg \| krabi airport \| 2005 \| present row 14 : kuala lumpur \| malaysia \| kul \| wmkk \| kuala lumpur international airport \| 2008 \| present row 15 : kuching \| malaysia \| kch \| wbgg \| kuching international airport \| 2008 \| 2013 row 16 : langkawi \| malaysia \| lgk \| wmkl \| langkawi international airport \| 2009 \| 2010 row 17 : lijang \| china \| ljg \| zplj \| lijiang sanyi airport \| 2013 \| present row 18 : lombok \| indonesia \| lop \| wadl \| lombok international airport \| 2013 \| present row 19 : manila \| philippines \| mnl \| rpll \| ninoy aquino international airport \| 2010 \| present row 20 : penang \| malaysia \| pen \| wmkp \| penang international airport \| 2009 \| present row 21 : perth \| australia \| per \| ypph \| perth airport \| 2004 \| present row 22 : phnom penh \| cambodia \| pnh \| vdpp \| phnom penh international airport \| 2012 \| present row 23 : singapore \| singapore \| sin \| wsss \| singapore changi airport[hub \| 2004 \| present row 24 : surabaya \| indonesia \| sub \| warr \| juanda international airport \| 2013 \| present row 25 : taipei \| taiwan \| tpe \| rctp \| taiwan taoy \| 2011 \| present row 26 : thiruvananthapuram \| india \| trv \| votv \| trivandrum international airport \| 2010 \| present row 27 : tiruchirapalli \| india \| trz \| votr \| tiruchirapalli airport \| 2010 \| present row 28 : udon thani \| thailand \| uth \| vtud \| udon thani international airport \| 2007 \| 2007 ] Execute this SQL based on the above table: select ended group by ended order by sum ( commenced ) desc limit 1	present
[ header: city/municipality \| city/municipality \| no. of barangays \| area (hectares) \| population (2010) \| income class (2010) \| mayor (2010-2013) row 1 : None \| baao \| 30 \| 10663 \| 54971 \| 3rd class \| melquiades i. gait row 2 : None \| balatan \| 17 \| 9309 \| 28699 \| 4th class \| ernesto a. bagas row 3 : None \| bato \| 33 \| 10712 \| 48306 \| 3rd class \| jeanette r. bernal row 4 : None \| buhi \| 38 \| 24665 \| 73809 \| 1st class \| rey p. lacoste row 5 : None \| bula \| 33 \| 16764 \| 68011 \| 2nd class \| benjamin s. decen row 6 : None \| calabanga \| 48 \| 16380 \| 78119 \| 1st class \| eduardo severo row 7 : None \| camaligan \| 13 \| 468 \| 22254 \| 5th class \| marilou marquez-hirose row 8 : None \| caramoan \| 49 \| 27600 \| 44945 \| 2nd class \| constantino h. cordial, row 9 : None \| gainza \| 8 \| 1475 \| 10345 \| 5th class \| william angeles abilay row 10 : None \| garchitorena \| 23 \| 24380 \| 25204 \| 4th class \| solon o.demetriou j row 11 : None \| goa \| 34 \| 20618 \| 58503 \| 2nd class \| antero s. lim row 12 : None \| iriga city \| 36 \| 13735 \| 105919 \| 4th class \| madeleine a. gazmen row 13 : None \| lagonoy \| 38 \| 37790 \| 51814 \| 2nd class \| delfin r. pilapil row 14 : None \| libmanan \| 75 \| 34282 \| 100002 \| 1st class \| marilyn a. jimenez row 15 : None \| lupi \| 38 \| 19912 \| 30118 \| 3rd class \| raul m. matamoros row 16 : None \| magarao \| 15 \| 4497 \| 24274 \| 4th class \| salvador a. senar row 17 : None \| milaor \| 20 \| 3364 \| 28474 \| 4th class \| rogelio a. row 18 : None \| nabua \| 42 \| 9620 \| 80111 \| 1st class \| delia c. simbulan row 19 : 25px \| naga city \| 27 \| 8448 \| 174931 \| 2nd class \| john g. bongat row 20 : None \| ocampo \| 25 \| 11833 \| 43523 \| 3rd class \| fidel c. carido row 21 : None \| pamplona \| 17 \| 8060 \| 34471 \| 4th class \| gimeno a. imperial row 22 : None \| pasacao \| 19 \| 14954 \| 45946 \| 3rd class \| asuncion v. arseni row 23 : None \| pili \| 26 \| 12625 \| 82307 \| 1st class \| tomas p. bongalonta, row 24 : None \| presentacion \| 18 \| 14380 \| 20023 \| 4th class \| joey a. delen row 25 : None \| sagnay \| 19 \| 15476 \| 31314 \| 4th class \| evelyn b. fuente row 26 : None \| san fernando \| 22 \| 7176 \| 33281 \| 4th class \| eugenio "jun" ] Execute this SQL based on the above table: select no. of barangays where income class (2010) = '2nd class'	33.0, 49.0, 34.0, 38.0, 27.0
[ header: year \| team \| games \| carries \| yards \| yards per carry \| longest carry \| touchdowns \| first downs \| fumbles \| fumbles lost row 1 : 2002 \| gb \| 8 \| 39 \| 184 \| 4.7 \| 43 \| 1 \| 8 \| 1 \| 1 row 2 : 2003 \| gb \| 15 \| 77 \| 420 \| 5.5 \| 76 \| 2 \| 18 \| 4 \| 1 row 3 : 2004 \| gb \| 11 \| 71 \| 359 \| 5.1 \| 40 \| 2 \| 16 \| 0 \| 0 row 4 : 2005 \| gb \| 5 \| 30 \| 105 \| 3.5 \| 24 \| 2 \| 9 \| 1 \| 0 row 5 : 2006 \| pit \| 13 \| 60 \| 221 \| 3.7 \| 48 \| 1 \| 9 \| 1 \| 0 row 6 : 2007 \| pit \| 15 \| 107 \| 499 \| 4.7 \| 45 \| 5 \| 37 \| 1 \| 0 row 7 : 2008 \| pit \| 4 \| 2 \| 5 \| 2.5 \| 3 \| 0 \| 2 \| 0 \| 0 row 8 : 2008 \| ind \| 2 \| 8 \| 26 \| 3.3 \| 8 \| 0 \| 1 \| 0 \| 0 row 9 : career \| None \| 73 \| 394 \| 1819 \| 4.6 \| 76 \| 13 \| 100 \| 8 \| 2 ] Execute this SQL based on the above table: select team order by year desc limit 1	pit
[ header: rank \| bib \| athlete \| country \| time \| deficit \| note row 1 : 8 \| 37 \| laure barthelemy \| france \| 3:08.53 \| 4.64 \| q row 2 : 10 \| 27 \| magda genuin \| italy \| 3:09.91 \| 6.02 \| q row 3 : 11 \| 16 \| arianna follis \| italy \| 3:10.41 \| 6.52 \| q row 4 : 12 \| 24 \| celine brun-lie \| norway \| 3:10.45 \| 6.56 \| q row 5 : 21 \| 40 \| riikka sarasoja \| finland \| 3:13.49 \| 9.6 \| q row 6 : 24 \| 9 \| perianne jones \| canada \| 3:13.95 \| 10.06 \| q row 7 : 26 \| 21 \| anastasia dotsenko \| russia \| 3:15.03 \| 11.14 \| q row 8 : 27 \| 33 \| daria gaiazova \| canada \| 3:15.10 \| 11.21 \| q row 9 : 29 \| 7 \| jessica diggins \| united states \| 3:15.24 \| 11.35 \| q row 10 : 32 \| 38 \| natalya korostelyova \| russia \| 3:15.83 \| 11.94 \| None row 11 : 37 \| 26 \| madoka natsumi \| japan \| 3:17.89 \| 14 \| None row 12 : 38 \| 28 \| pirjo muranen \| finland \| 3:18.21 \| 14.32 \| None row 13 : 39 \| 54 \| elena soboleva \| russia \| 3:19.55 \| 15.66 \| None row 14 : 40 \| 11 \| elena kolomina \| kazakhstan \| 3:20.17 \| 16.28 \| None row 15 : 53 \| 59 \| rosamund musgrave \| united kingdom \| 3:26.34 \| 22.45 \| None row 16 : 54 \| 1 \| anastasia slonova \| kazakhstan \| 3:26.51 \| 22.62 \| None row 17 : 56 \| 4 \| piret pormeister \| estonia \| 3:27.34 \| 23.45 \| None row 18 : 57 \| 64 \| maryna antsybor \| ukraine \| 3:28.17 \| 24.28 \| None row 19 : 62 \| 63 \| monika gyorgy \| romania \| 3:32.20 \| 28.31 \| None row 20 : 63 \| 71 \| niviaq chemnitz \| denmark \| 3:32.56 \| 28.67 \| None row 21 : 67 \| 67 \| zoya zaviediei \| ukraine \| 3:38.21 \| 31.32 \| None row 22 : 74 \| 86 \| irina khodiakov \| kyrgyzstan \| 3:52.24 \| 48.35 \| None row 23 : 78 \| 77 \| agnes simon \| hungary \| 4:04.44 \| +1:00.55 \| None row 24 : 82 \| 73 \| syuzanna varosyan \| armenia \| 4:25.77 \| +1:21.88 \| None row 25 : 84 \| 76 \| valya varosyan \| armenia \| 4:30.74 \| +1:26.85 \| None row 26 : 85 \| 80 \| zane eglite \| latvia \| 4:37.37 \| +1:33.48 \| None row 27 : None \| 61 \| brooke gosling \| canada \| dns \| None \| None ] Execute this SQL based on the above table: select athlete where country = 'united kingdom'	rosamund musgrave
[ header: season \| level \| division \| section \| position \| movements row 1 : 1993 \| tier 3 \| division 2 \| vastra gotaland \| 1st \| None row 2 : 1994 \| tier 2 \| division 1 \| sodra \| 7th \| None row 3 : 1995 \| tier 2 \| division 1 \| sodra \| 5th \| None row 4 : 1996 \| tier 2 \| division 1 \| sodra \| 2nd \| promoted row 5 : 1997 \| tier 1 \| allsvenskan \| None \| 14th \| panos ljungskile s row 6 : 1998 \| tier 2 \| division 1 \| sodra \| 6th \| panos ljungskile s row 7 : 1999 \| tier 2 \| division 1 \| sodra \| 4th \| panos ljungskile s row 8 : 2000 \| tier 2 \| superettan \| None \| 15th \| panos ljungskile s row 9 : 2001 \| tier 3 \| division 2 \| vastra gotaland \| 1st \| panos ljungskile s row 10 : 2002 \| tier 3 \| division 2 \| vastra gotaland \| 6th \| panos ljungskile s row 11 : 2003 \| tier 3 \| division 2 \| vastra gotaland \| 2nd \| None row 12 : 2004 \| tier 3 \| division 2 \| vastra gotaland \| 1st \| promotion playoffs - promoted row 13 : 2005 \| tier 2 \| superettan \| None \| 4th \| None row 14 : 2006 \| tier 2 \| superettan \| None \| 6th \| None row 15 : 2007 \| tier 2 \| superettan \| None \| 2nd \| promoted row 16 : 2008 \| tier 1 \| allsvenskan \| None \| 14th \| relegation playoffs - re row 17 : 2009 \| tier 2 \| superettan \| None \| 9th \| None row 18 : 2010 \| tier 2 \| superettan \| None \| 6th \| None row 19 : 2011 \| tier 2 \| superettan \| None \| 8th \| None row 20 : 2012 \| tier 2 \| superettan \| None \| 5th \| None row 21 : 2013 \| tier 2 \| superettan \| None \| 9th \| None ] Execute this SQL based on the above table: select position order by level desc limit 1	1st
[ header: place \| player \| country \| score \| to par \| money ($) row 1 : 1 \| ben hogan \| united states \| 70-72-70-68=280 \| -8 \| 3,000 row 2 : 2 \| skee riegel \| united states \| 73-68-70-71=28 \| -6 \| 1,875 row 3 : t3 \| lloyd mangrum \| united states \| 69-74-70-73=2 \| -2 \| 1162 row 4 : t3 \| lew worsham \| united states \| 71-71-72-72=2 \| -2 \| 1162 row 5 : 5 \| dave douglas \| united states \| 74-69-72-73=2 \| e \| 750 row 6 : 6 \| lawson little \| united states \| 72-73-72-72=289 \| +1 \| 600 row 7 : 7 \| jim ferrier \| australia \| 74-70-74-72=290 \| +2 \| 525 row 8 : t8 \| johnny bulla \| united states \| 71-72-73-75=2 \| +3 \| 450 row 9 : t8 \| byron nelson \| united states \| 71-73-73-74=2 \| +3 \| 450 row 10 : t8 \| sam snead \| united states \| 69-74-68-80=2 \| +3 \| 450 ] Execute this SQL based on the above table: select count ( score ) where place = 't8'	3
[ header: date \| opponent \| venue \| result \| scorers row 1 : march 31, 1979 \| portland timbers \| h \| 3-4 \| gersdorff, child, cohen row 2 : april 14, 1979 \| edmonton drillers \| h \| 0-1 \| None row 3 : april 21, 1979 \| san diego sockers \| a \| 3-3 \| child (2), ryan row 4 : april 28, 1979 \| los angeles aztecs \| h \| 1-2 \| child row 5 : may 5, 1979 \| vancouver whitecaps \| h \| 1-2 \| gersdorff row 6 : may 9, 1979 \| detroit express \| a \| 0-3 \| None row 7 : may 12, 1979 \| seattle sounders \| a \| 1-2 \| gersdorff row 8 : may 19, 1979 \| seattle sounders \| h \| 0-1 \| None row 9 : may 26, 1979 \| edmonton drillers \| a \| 2-1 \| child, lawson row 10 : june 2, 1979 \| memphis rogues \| h \| 2-1 \| etterich, flindt row 11 : june 6, 1979 \| minnesota kicks \| a \| 1-4 \| gersdorff row 12 : june 9, 1979 \| toronto blizzard \| h \| 2-3 \| child, gersdorff row 13 : june 13, 1979 \| tampa bay rowdies \| a \| 2-2 \| child, versen row 14 : june 16, 1979 \| fort lauderdale strikers \| a \| 1-3 \| armstrong row 15 : june 20, 1979 \| portland timbers \| a \| 2-1 \| etterich, ryan row 16 : june 23, 1979 \| chicago sting \| h \| 4-2 \| etterich, bick, webers row 17 : june 27, 1979 \| new england tea men \| h \| 0-1 \| None row 18 : june 30, 1979 \| philadelphia fury \| a \| 1-2 \| wood row 19 : july 4, 1979 \| houston hurricane \| a \| 0-4 \| None row 20 : july 7, 1979 \| fort lauderdale strikers \| h \| 1-2 \| flindt row 21 : july 11, 1979 \| philadelphia fury \| h \| 4-4 \| armstrong, etterich, gers row 22 : july 14, 1979 \| los angeles aztecs \| a \| 0-0 \| None row 23 : july 18, 1979 \| houston hurricane \| h \| 1-2 \| gersdorff row 24 : july 21, 1979 \| tulsa roughnecks \| h \| 3-2 \| armstrong (2), wood row 25 : july 25, 1979 \| chicago sting \| a \| 3-2 \| gersdorff (2), child row 26 : july 29, 1979 \| new york cosmos \| a \| 0-5 \| None row 27 : august 1, 1979 \| california surf \| h \| 0-2 \| None row 28 : august 4, 1979 \| california surf \| a \| 1-4 \| wood row 29 : august 8, 1979 \| vancouver whitecaps \| a \| 0-1 \| None row 30 : august 11, 1979 \| san diego sockers \| h \| 0-6 \| None ] Execute this SQL based on the above table: select result group by result having count ( * ) >= 3	0-1, 1-2, 2-1
[ 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 year where award = 'golden globe award'	1955, 2007
[ header: result \| record \| opponent \| method \| date \| round \| location row 1 : loss \| 31-3-0 \| j.h. isbell \| ko \| 1934 mar 31 \| 2 \| cambridge, massachusetts row 2 : loss \| 31-2-0 \| "modest" bill smith \| ko \| 1934 feb 27 \| 2 \| cambridge, massachusetts row 3 : win \| 31-1-0 \| frankie hagen \| ko \| 1934 feb 24 \| 1 \| cambridge, massachusetts row 4 : win \| 30-1-0 \| harry gardner \| ko \| 1934 feb 21 \| 1 \| cambridge, massachusetts row 5 : win \| 29-1-0 \| sid stoneman \| ko \| 1934 feb 14 \| 1 \| cambridge, massachusetts row 6 : win \| 28-1-0 \| frankie hagan \| pts \| 1934 jan 30 \| 3 \| cambridge, massachusetts row 7 : win \| 27-1-0 \| basil barnett \| ko \| 1934 jan 24 \| 2 \| cambridge, massachusetts row 8 : win \| 25-1-0 \| bob delmont \| ko \| 1934 jan 07 \| 1 \| cambridge, massachusetts row 9 : loss \| 24-1-0 \| brad simmons \| ko \| 1934 jan 01 \| 1 \| cambridge, massachusetts row 10 : win \| 24-0-0 \| herman zeinman \| ko \| 1933 \| 1 \| cambridge, massachusetts row 11 : win \| 23-0-0 \| william beltran \| ko \| 1933 \| 1 \| cambridge, massachusetts row 12 : win \| 21-0-0 \| lawrence "larry" o \| ko \| 1933 \| 1 \| cambridge, massachusetts row 13 : win \| 20-0-0 \| igg rosenberg \| ko \| 1933 \| 1 \| cambridge, massachusetts row 14 : win \| 19-0-0 \| melvin kenyon \| ko \| 1933 \| 1 \| cambridge, massachusetts row 15 : win \| 17-0-0 \| samuel rodgway \| ko \| 1933 may 28 \| 1 \| cambridge, massachusetts row 16 : exch \| 16-0-0 \| "irish" tommy mitchell \| ko \| 1933 may 21 \| 1 \| cambridge, massachusetts row 17 : win \| 15-0-0 \| jim crawford \| ko \| 1933 may 14 \| 1 \| cambridge, massachusetts row 18 : win \| 14-0-0 \| max levine \| ko \| 1933 may 7 \| 1 \| cambridge, massachusetts row 19 : win \| 13-0-0 \| leo hart \| ko \| 1933 may 1 \| 1 \| cambridge, massachusetts row 20 : win \| 12-0-0 \| paul benjamin \| pts \| 1932 \| 3 \| evanston, illinois row 21 : win \| 11-0-0 \| fred chapman \| ko \| 1932 \| 3 \| evanston, illinois row 22 : win \| 10-0-0 \| paul benjamin \| ko \| 1932 \| 3 \| evanston, illinois row 23 : win \| 9-0-0 \| rod conley \| ko \| 1932 \| 2 \| evanston, illinois row 24 : win \| 8-0-0 \| paul gilmore \| ko \| 1932 \| 1 \| chicago, illinois row 25 : win \| 7-0-0 \| jack lewis \| ko \| 1932 \| 3 \| chicago, illinois row 26 : exch \| 6-0-0 \| eddie mitchell \| ko \| 1932 \| 1 \| chicago, illinois ] Execute this SQL based on the above table: select method where opponent = 'william beltran' and result = 'win'	ko
[ header: game \| date \| opponent \| location \| score \| ot \| attendance \| record row 1 : 1 \| january 8, 2005 \| philadelphia wings \| arrowhead pond \| w 13-10 \| None \| 5,732 \| 1-0 row 2 : 2 \| january 22, 2005 \| rochester knighthawks \| arrowhead pond \| l 11-15 \| None \| 4,053 \| 1-1 row 3 : 3 \| january 28, 2005 \| @ minnesota swarm \| xcel energy center \| w 8-7 \| None \| 12,514 \| 2-1 row 4 : 4 \| january 29, 2005 \| calgary roughnecks \| arrowhead pond \| l 12-13 \| None \| 4,159 \| 2-2 row 5 : 5 \| february 4, 2005 \| @ arizona sting \| jobing.com arena \| l 10-17 \| None \| 6,313 \| 2-3 row 6 : 6 \| february 11, 2005 \| @ buffalo bandits \| hsbc arena \| l 9-20 \| None \| 8,805 \| 2-4 row 7 : 7 \| february 18, 2005 \| @ calgary roughnecks \| pengrowth saddledome \| l 15-18 \| None \| 9,550 \| 2-5 row 8 : 8 \| march 4, 2005 \| colorado mammoth \| arrowhead pond \| l 12-13 \| None \| 4,500 \| 2-6 row 9 : 9 \| march 13, 2005 \| toronto rock \| arrowhead pond \| l 6-14 \| None \| 4,499 \| 2-7 row 10 : 10 \| march 19, 2005 \| @ colorado mammoth \| pepsi center \| l 8-16 \| None \| 16,270 \| 2-8 row 11 : 11 \| march 25, 2005 \| @ san jose stealth \| hp pavilion at san jose \| l 14-15 \| None \| 5,022 \| 2-9 row 12 : 12 \| march 26, 2005 \| san jose stealth \| arrowhead pond \| w 13-12 \| ot \| 4,834 \| 3-9 row 13 : 13 \| april 2, 2005 \| @ colorado mammoth \| pepsi center \| w 10-6 \| None \| 18,326 \| 4-9 row 14 : 14 \| april 9, 2005 \| minnesota swarm \| arrowhead pond \| l 11-12 \| ot \| 4,967 \| 4-10 row 15 : 15 \| april 15, 2005 \| arizona sting \| arrowhead pond \| l 12-14 \| None \| 5,891 \| 4-11 row 16 : 16 \| april 16, 2005 \| @ arizona sting \| jobing.com arena \| w 11-10 \| None \| 7,731 \| 5-11 ] Execute this SQL based on the above table: select count ( ot ) where opponent < 1030	0
[ header: type \| stage \| cyclist \| team \| reason row 1 : dnf \| 2 \| remi pauriol \| cofidis \| broken collarbone row 2 : dns \| 3 \| jose angel gomez marchante \| cervelo testteam \| broken arm sustained from crash in stage 2 row 3 : dns \| 3 \| daniel martin \| garmin-slipstream \| illness row 4 : dns \| 3 \| joost posthuma \| rabobank \| illness row 5 : dnf \| 3 \| matteo bono \| lampre-ngc \| None row 6 : dnf \| 3 \| anthony charteau \| caisse d'epargne \| None row 7 : dns \| 4 \| sylvain calzat \| agritubel \| None row 8 : dns \| 4 \| bradley wiggins \| garmin-slipstream \| death in the family row 9 : dnf \| 4 \| jussi veikkanen \| francaise des jeux \| None row 10 : dns \| 5 \| inigo cuesta \| cervelo testteam \| None row 11 : dns \| 5 \| enrico franzoi \| liquigas \| None row 12 : dnf \| 5 \| steven cozza \| garmin-slipstream \| None row 13 : dnf \| 5 \| philippe gilbert \| silence-lotto \| None row 14 : dnf \| 5 \| brian vandborg \| liquigas \| None row 15 : dns \| 6 \| jelle vanendert \| silence-lotto \| None row 16 : dnf \| 6 \| jose luis arrieta \| ag2r-la mondiale \| None row 17 : dnf \| 6 \| sebastien chavanel \| francaise des jeux \| None row 18 : dnf \| 6 \| simon spilak \| lampre-ngc \| None row 19 : dnf \| 6 \| thomas voeckler \| bbox bouygues telecom \| shoulder injury sustained from crash row 20 : dns \| 7 \| sebastian langeveld \| rabobank \| None row 21 : dnf \| 7 \| samuel sanchez \| euskaltel-euskad \| None row 22 : dnf \| 7 \| mickael cherel \| francaise des jeux \| None row 23 : dnf \| 7 \| thomas fothen \| team milram \| None row 24 : dnf \| 7 \| marcel sieberg \| team columbia-high road \| None row 25 : dnf \| 7 \| tom veelers \| skil-shimano \| None row 26 : dnf \| 7 \| mickael buffaz \| cofidis \| None row 27 : dnf \| 7 \| javier aramendia \| euskaltel-euskad \| None row 28 : dnf \| 7 \| romain feillu \| agritubel \| None ] Execute this SQL based on the above table: select type where id = ( select id where type = 'dnf' ) + 1	dns
[ header: home team \| score \| away team \| date \| agg row 1 : aberdeen \| 7-1 \| hamilton academical \| 11-10-1978 \| 8-1 row 2 : airdrieonians \| 1-2 \| arbroath \| 10-10-1978 \| 2-3 row 3 : ayr united \| 1-1 \| falkirk \| 11-10-1978 \| 3-1 row 4 : clydebank \| 1-1 \| hibernian \| 11-10-1978 \| 1-2 row 5 : morton \| 5-2 \| kilmarnock \| 11-10-1978 \| 5-4 row 6 : montrose \| 5-1 \| raith rovers \| 11-10-1978 \| 5-4 row 7 : motherwell \| 1-4 \| celtic \| 11-10-1978 \| 2-4 row 8 : st. mirren \| 0-0 \| rangers \| 11-10-1978 \| 2-3 ] Execute this SQL based on the above table: select count ( home team )	8
[ header: week \| opponent \| result \| game site \| tv \| time \| attendance \| bye row 1 : 1 \| at denver broncos \| l 3-19 \| mile high stadium \| nbc \| 4:15pm \| 75600 \| row 2 : 2 \| at oakland raiders \| w 28-27 \| network associates coliseum \| abc \| 9:00pm \| 61523 \| row 3 : 3 \| buffalo bills \| w 22-16 \| arrowhead stadium \| nbc \| 1:00pm \| 78169 \| row 4 : 4 \| at carolina panthers \| w 35-14 \| bank of america stadium \| nbc \| 1:00pm \| 67402 \| row 5 : 5 \| seattle seahawks \| w 20-17 ot \| arrowhead stadium \| nbc \| 4:15pm \| 77877 \| row 6 : 6 \| at miami dolphins \| l 14-17 \| pro player stadium \| nbc \| 1:00pm \| 71794 \| row 7 : 7 \| None \| None \| None \| None \| None \| None \| row 8 : 8 \| san diego chargers \| w 31-3 \| arrowhead stadium \| tnt \| 8:00pm \| 77195 \| row 9 : 9 \| at st. louis rams \| w 28-20 \| edward jones dome \| nbc \| 1:00pm \| 64864 \| row 10 : 10 \| pittsburgh steelers \| w 13-10 \| arrowhead stadium \| abc \| 9:00pm \| 78301 \| row 11 : 11 \| at jacksonville jaguars \| l 14-24 \| alltel stadium \| nbc \| 1:00pm \| 70444 \| row 12 : 12 \| denver broncos \| w 24-22 \| arrowhead stadium \| nbc \| 1:00pm \| 77963 \| row 13 : 13 \| at seattle seahawks \| w 19-14 \| kingdome \| nbc \| 4:15pm \| 66264 \| row 14 : 14 \| san francisco 49ers \| w 44-9 \| arrowhead stadium \| fox \| 1:00pm \| 77535 \| row 15 : 15 \| oakland raiders \| w 30-0 \| arrowhead stadium \| nbc \| 1:00pm \| 76379 \| row 16 : 16 \| at san diego chargers \| w 29-7 \| qualcomm stadium \| nbc \| 4:15pm \| 54594 \| row 17 : 17 \| new orleans saints \| w 25-13 \| arrowhead stadium \| fox \| 1:00pm \| 66772 \| row 18 : divisional playoff \| denver broncos \| l 10-14 \| arrowhead stadium \| nbc \| 4:15pm \| 76965 \| ] Execute this SQL based on the above table: select week where attendance = 77535	14
[ header: place \| team \| played \| won \| draw \| lost \| goals scored \| goals conceded \| +/- \| points row 1 : 1 \| c.d. aguila \| 18 \| 9 \| 5 \| 4 \| 24 \| 19 \| 5 \| 32 row 2 : 2 \| c.d. fas \| 18 \| 6 \| 8 \| 4 \| 26 \| 17 \| 9 \| 26 row 3 : 3 \| c.d. vista hermosa \| 18 \| 8 \| 2 \| 8 \| 27 \| 22 \| 5 \| 26 row 4 : 4 \| a.d. isidro \| 18 \| 7 \| 5 \| 6 \| 21 \| 22 \| -1 \| 26 row 5 : 5 \| alianza f.c \| 18 \| 7 \| 4 \| 7 \| 29 \| 26 \| 3 \| 25 row 6 : 6 \| c.d. atletico balb \| 18 \| 6 \| 5 \| 7 \| 26 \| 25 \| 1 \| 23 row 7 : 7 \| san salvador f.c \| 18 \| 6 \| 5 \| 7 \| 28 \| 32 \| -4 \| 23 row 8 : 8 \| c.d. chalatenango \| 18 \| 5 \| 7 \| 6 \| 19 \| 26 \| -3 \| 22 row 9 : 9 \| once municipal \| 18 \| 5 \| 6 \| 7 \| 24 \| 30 \| -6 \| 21 row 10 : 10 \| c.d. luis angel fir \| 18 \| 5 \| 5 \| 8 \| 18 \| 23 \| -5 \| 20 ] Execute this SQL based on the above table: select team order by goals scored desc limit 1	alianza f.c
[ header: team #1 \| agg. \| team #2 \| 1st leg \| 2nd leg row 1 : florina \| 0-3 \| panachaiki \| 0-1 \| 0-2 row 2 : kilkisiakos \| 1-2 \| panarkadikos \| 1-0 \| 0-2 row 3 : kallithea \| 2-7 \| makedonikos \| 2-2 \| 0-5 row 4 : panathinaikos \| 9-1 \| panelefsiniakos \| 5-0 \| 4-1 row 5 : anagennisi arta \| 1-6 \| olympiacos \| 1-1 \| 0-5 row 6 : paok (a.g.) \| 3-3 \| aris \| 2-0 \| 1-3 row 7 : kavala (a.g.) \| 2-2 \| aiolikos \| 1-0 \| 1-2 row 8 : kozani \| 2-1 \| fostiras \| 1-0 \| 1-1 row 9 : diagoras \| 3-4 \| korinthos \| 2-2 \| 1-2 row 10 : larissa \| 8-1 \| neapoli piraeus \| 7-0 \| 1-1 row 11 : thiva \| 2-3 \| proodeftiki \| 1-1 \| 1-2 row 12 : edessaikos \| 1-2 \| levadiakos \| 1-0 \| 0-2 row 13 : pierikos \| 2-1 \| ethnikos asteras \| 2-0 \| 0-1 row 14 : ethnikos olymp \| 2-1 \| thriamvos \| 2-1 \| 0-0 row 15 : lamia \| 4-3 \| kastoria \| 4-2 \| 0-1 row 16 : panionios \| 3-1 \| pas giannina \| 3-1 \| 0-0 ] Execute this SQL based on the above table: select 2nd leg where team #2 = 'olympiacos'	0-5
[ header: # \| player \| pos \| pts \| tries \| conv \| pens \| drop \| opposition \| venue \| date row 1 : 1 \| stefano bettarello \| fly-half \| 29 \| 1 \| 2 \| 5 \| 2 \| canada \| toronto \| 1 july 1982 row 2 : 1 \| diego dominguez \| fly-half \| 29 \| 0 \| 1 \| 6 \| 3 \| scotland \| rome \| 5 february 2000 row 3 : 1 \| diego dominguez \| fly-half \| 29 \| 0 \| 4 \| 7 \| 0 \| fiji \| treviso \| 10 november 2001 row 4 : 4 \| diego dominguez \| fly-half \| 28 \| 1 \| 7 \| 3 \| 0 \| netherlands \| calvisano \| 21 may 1994 row 5 : 5 \| diego dominguez \| fly-half \| 27 \| 1 \| 2 \| 6 \| 0 \| ireland \| bologna \| 20 december 1997 row 6 : 6 \| diego dominguez \| fly-half \| 25 \| 0 \| 5 \| 5 \| 0 \| romania \| tarbes \| 26 october 1997 row 7 : 7 \| luigi troiani \| fly-half \| 24 \| 0 \| 12 \| 0 \| 0 \| czech republic \| viadana \| 18 may 1994 row 8 : 7 \| diego dominguez \| fly-half \| 24 \| 0 \| 0 \| 8 \| 0 \| romania \| catania \| 1 october 1994 row 9 : 7 \| mirco bergamasco \| wing \| 24 \| 0 \| 0 \| 8 \| 0 \| fiji \| modena \| 27 november 2010 row 10 : 10 \| 3 players on 23 points \| None \| None \| None \| None \| None \| None \| None \| None \| None ] Execute this SQL based on the above table: select count ( venue )	9
[ header: # \| title \| english translation \| original album \| length row 1 : 1 \| mimpi yang sempurn \| a perfect dream \| kisah 2002 malam \| 4:30 row 2 : 2 \| bintang di surga \| stars in the heaven \| bintang di surga \| None row 3 : 3 \| aku dan bintang \| the stars and me \| taman langit \| 3:39 row 4 : 4 \| jauh mimpiku \| distant dreams of mine \| ost. alexandria \| None row 5 : 5 \| hari yang cerah un \| a bright day for a lonely soul \| hari yang cerah \| 3:59 row 6 : 6 \| menunggu pagi \| waiting for dawn \| ost. alexandria \| None row 7 : 7 \| khayalan tingkat ting \| high-level imagination \| bintang di surga \| None row 8 : 8 \| sahabat \| best friend \| taman langit \| 4:33 row 9 : 9 \| sally sendiri \| sally alone \| hari yang cerah \| 4:17 row 10 : 10 \| langit tak mendengar \| the sky didn't listen \| ost. alexandria \| None row 11 : 11 \| di belakangku \| behind me \| bintang di surga \| None row 12 : 12 \| kita tertawa \| we laugh \| taman langit \| 3:29 row 13 : 13 \| membebaniku \| burdening me \| ost. alexandria \| 4:25 row 14 : 14 \| cobalah mengerti \| try to understand \| hari yang cerah \| 3:30 row 15 : 15 \| topeng \| mask \| taman langit \| 4:25 ] Execute this SQL based on the above table: select length where english translation = 'try to understand'	3
[ header: no \| peak \| location \| elevation (m) \| prominence (m) \| col height (m) \| col location \| parent row 1 : 1 \| mont blanc \| france/ italy \| 4810 \| 4697 \| 113 \| near lake kubenskoye \| everest row 2 : 5 \| piz bernina \| switzerland \| 4049 \| 2234 \| 1815 \| maloja pass \| finsteraarhorn1 / m row 3 : 7 \| monte rosa \| switzerland \| 4634 \| 2165 \| 2469 \| great st bernard pass \| mont blanc row 4 : 10 \| monte viso \| italy \| 3841 \| 2062 \| 1779 \| le mauvais pass \| mont blanc row 5 : 11 \| triglav \| slovenia \| 2864 \| 2052 \| 812 \| camporosso pass \| marmolada1 / m row 6 : 12 \| barre des ecrins \| france \| 4102 \| 2045 \| 2057 \| col du lautaret \| mont blanc row 7 : 15 \| monte baldo/cima \| italy \| 2218 \| 1950 \| 268 \| near san giovanni pass in \| ortler1 / mb2 row 8 : 16 \| gran paradiso \| italy \| 4061 \| 1891 \| 2170 \| near little st bernard pass \| mont blanc row 9 : 19 \| dents du midi \| switzerland \| 3257 \| 1796 \| 1461 \| col des montets \| mont blanc row 10 : 20 \| chamechaude \| france \| 2082 \| 1771 \| 311 \| chambery \| mont blanc row 11 : 21 \| zugspitze \| germany/ austria \| 2962 \| 1746 \| 1216 \| near fern pass \| finsteraarhorn1 / m row 12 : 25 \| großer priel \| austria \| 2515 \| 1700 \| 810 \| near pichl-kainisch \| hoher dachstein1 / m row 13 : 27 \| monte bondone \| italy \| 2180 \| 1679 \| 501 \| near cadine in trento \| ortler1 / mb2 row 14 : 29 \| birnhorn \| austria \| 2634 \| 1665 \| 969 \| hochfilzen \| großglockner1 / mb row 15 : 31 \| pointe percee \| france \| 2750 \| 1643 \| 1107 \| near pont d'arbon near mege \| mont blanc row 16 : 33 \| molltaler polinik \| austria \| 2784 \| 1579 \| 1205 \| iselsberg pass \| großglockner1 / mb row 17 : 35 \| birkkarspitze \| austria \| 2749 \| 1569 \| 1180 \| seefeld in tirol \| zugspitze1 / mb2 row 18 : 37 \| grande tete de l'obiou \| france \| 2790 \| 1542 \| 1248 \| col bayard \| barre des ecrins1 / row 19 : 39 \| hochtor \| austria \| 2369 \| 1520 \| 849 \| schober pass \| großglockner1 / mb row 20 : 41 \| grand combin \| switzerland \| 4314 \| 1517 \| 2797 \| fenetre de durand \| monte rosa row 21 : 44 \| piz kesch \| switzerland \| 3418 \| 1502 \| 1916 \| lukmanier pass \| finsteraarhorn1 / m ] Execute this SQL based on the above table: select parent where parent in ( 'monte rosa' , 'marmolada1 / mb2' ) order by elevation (m) desc limit 1	monte rosa
[ header: rank \| team \| names \| time \| qualification row 1 : 1 \| france \| christophe capelle philippe \| 4:09.570 \| q row 2 : 2 \| italy \| adler capelli mauro trent \| 4:09.695 \| q row 3 : 3 \| australia \| bradley mcgee stuart \| 4:09.750 \| q row 4 : 4 \| ukraine \| bohdan bondaryev ol \| 4:11.545 \| q row 5 : 5 \| russia \| eduard gritsun \| 4:11.665 \| q row 6 : 6 \| united states \| dirk copeland mariano friedick \| 4:11.950 \| q row 7 : 7 \| spain \| juan martinez juan \| 4:12.780 \| q row 8 : 8 \| new zealand \| gregory henderson bren \| 4:15.140 \| q row 9 : 9 \| germany \| robert bartko gui \| 4:15.140 \| None row 10 : 10 \| great britain \| robert hayes matthew \| 4:16.510 \| None row 11 : 11 \| lithuania \| arturas kasputis re \| 4:16.050 \| None row 12 : 12 \| netherlands \| jarich bakker robertus \| 4:16.175 \| None row 13 : 13 \| denmark \| frederik bertelsen j \| 4:16.175 \| None row 14 : 14 \| argentina \| walter perez edgardo \| 4:20.840 \| None row 15 : 15 \| south korea \| dae-hong chun young chung \| 4:25.215 \| None row 16 : 16 \| chile \| jose medina luis sepulve \| 4:25.960 \| None row 17 : 17 \| colombia \| john garcia marlon perez \| 4:26.400 \| None ] Execute this SQL based on the above table: select names where rank = 17	john garcia marlon perez yovani lopez jos velasquez de la cuesta
[ header: pos. \| athlete \| run 1 \| run 2 \| total row 1 : 1 \| aronne pieruz \| 50.39 \| 58.25 \| 1:48.64 row 2 : 2 \| filip trejbal \| 50.68 \| 58.84 \| 1:49.52 row 3 : 3 \| adam cole \| 51.4 \| 58.51 \| 1:49.91 row 4 : 4 \| tague thorson \| 51.2 \| 59.13 \| 1:50.33 row 5 : 5 \| jan urfer \| 51.54 \| 59.1 \| 1:50.64 row 6 : 6 \| charles christianson \| 51.75 \| 58.91 \| 1:50.66 row 7 : 7 \| francesco ghedina \| 51.37 \| 59.39 \| 1:50.94 row 8 : 8 \| luca moretti \| 52.05 \| 58.89 \| 1:51.17 row 9 : 9 \| cameron barnes \| 51.66 \| 59.51 \| 1:51.37 row 10 : 10 \| martin vrablik \| 52.77 \| 58.6 \| 1:51.48 ] Execute this SQL based on the above table: select athlete where athlete = 'jan urfer'	jan urfer
[ header: week \| date \| opponent \| result \| record \| attendance \| bye row 1 : 1 \| september 11, 2005 \| indianapolis colts \| l 24-7 \| 0-1-0 \| 70501 \| 0 row 2 : 2 \| september 18, 2005 \| at tennessee titans \| l 25-10 \| 0-2-0 \| 69149 \| 0 row 3 : 3 \| None \| None \| None \| None \| None \| 1 row 4 : 4 \| october 2, 2005 \| new york jets \| w 13-3 \| 1-2-0 \| 70479 \| 0 row 5 : 5 \| october 9, 2005 \| at detroit lions \| l 35-17 \| 1-3-0 \| 61201 \| 0 row 6 : 6 \| october 16, 2005 \| cleveland browns \| w 16-3 \| 2-3-0 \| 70196 \| 0 row 7 : 7 \| october 23, 2005 \| at chicago bears \| l 10-6 \| 2-4-0 \| 62102 \| 0 row 8 : 8 \| october 31, 2005 \| at pittsburgh steelers \| l 20-19 \| 2-5-0 \| 64178 \| 0 row 9 : 9 \| november 6, 2005 \| cincinnati bengals \| l 21-9 \| 2-6-0 \| 70540 \| 0 row 10 : 10 \| november 13, 2005 \| at jacksonville jaguars \| l 30-3 \| 2-7-0 \| 66107 \| 0 row 11 : 11 \| november 20, 2005 \| pittsburgh steelers \| w 16-13 ot \| 3-7-0 \| 70601 \| 0 row 12 : 12 \| november 27, 2005 \| at cincinnati bengals \| l 42-29 \| 3-8-0 \| 65680 \| 0 row 13 : 13 \| december 4, 2005 \| houston texans \| w 16-15 \| 4-8-0 \| 69909 \| 0 row 14 : 14 \| december 11, 2005 \| at denver broncos \| l 12-10 \| 4-9-0 \| 75651 \| 0 row 15 : 15 \| december 19, 2005 \| green bay packers \| w 48-3 \| 5-9-0 \| 70604 \| 0 row 16 : 16 \| december 25, 2005 \| minnesota vikings \| w 30-23 \| 6-9-0 \| 70246 \| 0 row 17 : 17 \| january 1, 2006 \| at cleveland browns \| l 20-16 \| 6-10-0 \| 69871 \| 0 ] Execute this SQL based on the above table: select result order by id desc limit 1	l 20-16
[ header: date \| winning team \| score \| losing team \| score \| ot \| city \| state/province \| arena \| attendance row 1 : october 21, 1993 \| st. louis \| 5 \| san jose \| 2 \| None \| sacramento \| ca \| arco arena \| 7144 row 2 : october 31, 1993 \| ny rangers \| 4 \| new jersey \| 1 \| None \| halifax \| ns \| halifax metro centre \| 8200 row 3 : november 3, 1993 \| pittsburgh \| 6 \| buffalo \| 2 \| None \| sacramento \| ca \| arco arena \| 10117 row 4 : november 9, 1993 \| anaheim \| 4 \| dallas \| 2 \| None \| phoenix \| az \| america west arena \| 8143 row 5 : november 18, 1993 \| ny islanders \| 5 \| montreal \| 1 \| None \| hamilton \| on \| copps coliseum \| 17008 row 6 : december 9, 1993 \| dallas \| 6 \| ottawa \| 1 \| None \| minneapolis \| mn \| target center \| 14058 row 7 : december 23, 1993 \| vancouver \| 4 \| calgary \| 3 \| None \| saskatoon \| sk \| saskplace \| 11429 row 8 : december 31, 1993 \| philadelphia \| 4 \| boston \| 3 \| None \| minneapolis \| mn \| target center \| 10855 row 9 : january 4, 1994 \| tampa bay \| 1 \| toronto \| 0 \| None \| hamilton \| on \| copps coliseum \| 17526 row 10 : january 5, 1994 \| montreal \| 2 \| quebec \| 0 \| None \| phoenix \| az \| america west arena \| 11393 row 11 : january 6, 1994 \| st. louis \| 2 \| hartford \| 1 \| None \| cleveland \| oh \| richfield coliseum \| 6956 row 12 : january 17, 1994 \| detroit \| 6 \| tampa bay \| 3 \| None \| minneapolis \| mn \| target center \| 8764 row 13 : january 23, 1994 \| vancouver \| 5 \| edmonton \| 4 \| (ot) \| saskatoon \| sk \| saskplace \| None row 14 : january 24, 1994 \| calgary \| 3 \| los angeles \| 3 \| (ot) \| phoenix \| az \| america west arena \| 14864 row 15 : february 2, 1994 \| washington \| 5 \| philadelphia \| 2 \| None \| cleveland \| oh \| richfield coliseum \| 8312 row 16 : february 8, 1994 \| san jose \| 4 \| chicago \| 3 \| None \| sacramento \| ca \| arco arena \| 14182 row 17 : february 22, 1994 \| florida \| 3 \| winnipeg \| 2 \| None \| hamilton \| on \| copps coliseum \| 6291 row 18 : february 24, 1994 \| detroit \| 3 \| hartford \| 0 \| None \| cleveland \| oh \| richfield coliseum \| 11621 row 19 : march 8, 1994 \| chicago \| 3 \| anaheim \| 0 \| None \| phoenix \| az \| america west arena \| 13847 row 20 : march 9, 1994 \| ny rangers \| 7 \| washington \| 5 \| None \| halifax \| ns \| halifax metro centre \| 9200 row 21 : march 18, 1994 \| buffalo \| 2 \| ny islanders \| 2 \| (ot) \| minneapolis \| mn \| target center \| 8016 ] Execute this SQL based on the above table: select date where state/province = 'oh'	january 6, 1994, february 2, 1994, february 24, 1994
[ header: \| landmark name \| location \| summary row 1 : 1 \| flagpole \| the flagpole was once located at 10 s \| flagpole erected in 1941 by del row 2 : 2 \| water pump station and water tower \| northeastern corner of the junction of innovation and \| None row 3 : 3 \| ammo bunker (s-1007) \| southwest of vosler dr. (formerly \| built by del e. webb construction row 4 : 4 \| ammo bunker (s-1008) \| southwest of vosler dr. (formerly \| also built by del e. webb row 5 : 5 \| civil engineering maintenance shop \| northeastern corner of unity ave. \| built by del e. webb construction row 6 : 6 \| demountable hangar \| located at the north apron of \| built in 1925 and designed by webb, de row 7 : 7 \| housing storage supply warehouse \| northwestern corner of the junction of innovation and unity \| built by del e. webb construction ] Execute this SQL based on the above table: select where landmark name = 'civil engineering maintenance shop'	5.0
[ header: year \| track \| number \| team \| car \| round result row 1 : 1996 \| pukekohe park raceway \| 1 \| holden racing team \| holden vr commodore \| 1st row 2 : 2001 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vx commodore \| 1st row 3 : 2002 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vx commodore \| 1st row 4 : 2003 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vy commodore \| 1st row 5 : 2004 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vy commodore \| 3rd row 6 : 2005 \| pukekohe park raceway \| 51 \| paul weel racing \| holden vz commodore \| 1st row 7 : 2006 \| pukekohe park raceway \| 51 \| paul weel racing \| holden vz commodore \| 15th row 8 : 2007 \| pukekohe park raceway \| 51 \| tasman motorsport \| holden ve commodore \| 11th row 9 : 2008 \| hamilton street circuit \| 51 \| tasman motorsport \| holden ve commodore \| 25th row 10 : 2009 \| hamilton street circuit \| 51 \| tasman motorsport \| holden ve commodore \| 22nd row 11 : 2010 \| hamilton street circuit \| 51 \| paul morris motorsport \| holden ve commodore \| 14th row 12 : 2011 \| hamilton street circuit \| 11 \| pepsi max crew \| holden ve commodore \| 24th row 13 : 2012 \| hamilton street circuit \| 51 \| pepsi max crew \| holden ve commodore \| 24th ] Execute this SQL based on the above table: select count ( team ) where year < ( select year where team = 'k-mart racing team' )	1
[ header: year \| single \| chart \| position row 1 : 1975 \| "sun goddess" \| black singles \| 20 row 2 : 1975 \| "sun goddess" \| disco singles \| 5 row 3 : 1975 \| "sun goddess" \| pop singles \| 44 row 4 : 1976 \| "can't hide love" \| black singles \| 11 row 5 : 1976 \| "can't hide love" \| pop singles \| 39 row 6 : 1976 \| "sing a song/gratitude" \| club play singles \| 1 row 7 : 1976 \| "sing a song" \| black singles \| 1 row 8 : 1976 \| "sing a song" \| pop singles \| 5 ] Execute this SQL based on the above table: select single where year = 1976	"can't hide love", "can't hide love", "sing a song/gratitude", "sing a song", "sing a song"
[ header: season \| record \| finish \| manager \| notes row 1 : 1956-57 \| 13-14 (1st half) 10-15 (2nd \| 2nd 4th \| lazaro salazar \| None row 2 : 1957-58 \| 22-19 \| 2nd \| daniel canonico \| lost 1st round series row 3 : 1958-59 \| 22-19 \| 2nd \| kerby farrell \| won 1st and 2nd playoff rounds championship row 4 : 1959-60 \| 14-14 \| None \| alberto hidalgo \| season suspended by players' strike row 5 : 1960-61 \| 29-23 \| 2nd \| alberto hidalgo ramon \| lost semifinal round row 6 : 1961-62 \| 29-22 \| 2nd \| daniel canonico \| lost championship series row 7 : 1962-63 \| 8-25 \| 4th \| chico carrasquel \| folded before the end of the season row 8 : 1963-64 \| 21-29 \| 4th \| george genovese \| None ] Execute this SQL based on the above table: select notes where manager > ( select manager where notes = 'folded before the end of the season' ) order by manager asc limit 1	lost 1st round series
[ header: year \| award \| category \| work \| result row 1 : 1992 \| 8th soap opera digest awards \| outstanding female newcomer: daytime \| the young and the restless \| nominated row 2 : 1994 \| 10th soap opera digest awards \| outstanding scene stealer \| the young and the restless \| won row 3 : 1994 \| 26th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 4 : 1995 \| 11th soap opera digest awards \| hottest female star \| the young and the restless \| nominated row 5 : 1996 \| 27th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 6 : 1996 \| 23rd daytime emmy awards \| outstanding supporting actress in a drama series \| the young and the restless \| nominated row 7 : 1997 \| 24th daytime emmy awards \| outstanding supporting actress in a drama series \| the young and the restless \| nominated row 8 : 1997 \| 28th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 9 : 1998 \| 25th daytime emmy awards \| outstanding supporting actress in a drama series \| the young and the restless \| nominated row 10 : 1998 \| 29th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 11 : 1999 \| 30th naacp image award \| outstanding actress in a daytime drama series \| diagnosis murder \| nominated row 12 : 1999 \| 30th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 13 : 2001 \| 31st naacp image \| outstanding actress in a daytime drama series \| the young and the restless \| won row 14 : 2003 \| 34th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 15 : 2003 \| 18th soap opera digest awards \| favorite return \| the young and the restless \| nominated row 16 : 2004 \| 35th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 17 : 2005 \| 19th soap opera digest awards \| outstanding actress in a supporting role \| the young and the restless \| nominated row 18 : 2005 \| 36th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 19 : 2006 \| 37th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won ] Execute this SQL based on the above table: select count ( award )	19
[ 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 ( employees ) where location <= 898	0