Split (3)

train · 796k rows

input stringlengths 20 5.6k	output stringlengths 0 17.9k
[ header: year \| city \| state, province, dept., etc. \| country \| notes row 1 : 2627 bc \| caral \| norte chico \| peru \| None row 2 : 1200 \| ojinaga \| chihuahua \| mexico \| None row 3 : 1526 \| chimaltenango \| chimaltenango \| guatemala \| None row 4 : 1534 \| spanish town \| saint catherine \| jamaica \| founded by the spanish as santia row 5 : 1535 \| lima \| lima \| peru \| None row 6 : 1546 \| tepezala \| aguascalientes \| mexico \| None row 7 : 1556 \| chalchihuites \| zacatecas \| mexico \| None row 8 : 1561 \| santa cruz de la sierra \| santa cruz \| bolivia \| None row 9 : 1564 \| sao mateus \| espirito santo \| brazil \| None row 10 : 1565 \| saint augustine \| florida \| united states \| oldest continuously inhabited european established settlement in the continental row 11 : 1591 \| juan aldama \| zacatecas \| mexico \| None row 12 : 1635 \| old saybrook \| connecticut \| united states \| original dutch settlement called kievits row 13 : 1638 \| cambridge \| massachusetts \| united states \| None row 14 : 1639 \| bridgeport \| connecticut \| united states \| None row 15 : 1695 \| saint-marc \| artibonite \| haiti \| None row 16 : 1699 \| baton rouge \| louisiana \| united states \| None row 17 : 1714 \| antonina \| parana \| brazil \| None row 18 : 1727 \| pirenopolis \| goias \| brazil \| None row 19 : 1728 \| nuuk \| None \| greenland \| norse colony was originally called godt row 20 : 1730 \| roseau \| saint george \| dominica \| None row 21 : 1743 \| canguaretama \| rio grande do norte \| brazil \| declared vila in 1858; c row 22 : 1762 \| parnaiba \| piaui \| brazil \| None row 23 : 1780 \| codo \| maranhao \| brazil \| declared vila in 1833; c row 24 : 1786 \| frankfort \| kentucky \| united states \| None row 25 : 1810 \| guarapuava \| parana \| brazil \| None row 26 : 1816 \| saginaw \| michigan \| united states \| None row 27 : 1818 \| itaguai \| rio de janeiro \| brazil \| None row 28 : 1819 \| tuscaloosa \| alabama \| united states \| former state capital, grew from former native american row 29 : 1821 \| decatur \| alabama \| united states \| None row 30 : 1839 \| santa rita \| paraiba \| brazil \| declared vila in 1890; c row 31 : 1849 \| provo \| utah \| united states \| None row 32 : 1854 \| anajatuba \| maranhao \| brazil \| None row 33 : 1856 \| lincoln \| nebraska \| united states \| originally called lancaster ] Execute this SQL based on the above table: select count ( * ) where city is null	0
[ header: year \| team \| games \| attempts \| yards \| ypc \| long \| tds row 1 : 1983 \| los angeles rams \| 16 \| 390 \| 1808 \| 4.6 \| 85 \| 18 row 2 : 1984 \| los angeles rams \| 16 \| 379 \| 2105 \| 5.6 \| 66 \| 14 row 3 : 1985 \| los angeles rams \| 14 \| 292 \| 1234 \| 4.2 \| 43 \| 12 row 4 : 1986 \| los angeles rams \| 16 \| 404 \| 1821 \| 4.5 \| 42 \| 11 row 5 : 1987 \| los angeles rams \| 3 \| 60 \| 277 \| 4.6 \| 57 \| 1 row 6 : 1987 \| indianapolis colts \| 9 \| 223 \| 1011 \| 4.5 \| 53 \| 5 row 7 : 1988 \| indianapolis colts \| 16 \| 388 \| 1659 \| 4.3 \| 41 \| 14 row 8 : 1989 \| indianapolis colts \| 15 \| 314 \| 1311 \| 4.2 \| 21 \| 7 row 9 : 1990 \| indianapolis colts \| 11 \| 166 \| 677 \| 4.1 \| 43 \| 4 row 10 : 1991 \| indianapolis colts \| 10 \| 167 \| 536 \| 3.2 \| 28 \| 2 row 11 : 1992 \| los angeles raiders \| 16 \| 187 \| 729 \| 3.9 \| 40 \| 2 row 12 : 1993 \| atlanta falcons \| 4 \| 26 \| 91 \| 3.5 \| 10 \| 0 row 13 : career \| None \| 146 \| 2996 \| 13259 \| 4.4 \| 85 \| 90 ] Execute this SQL based on the above table: select attempts where team = 'los angeles raiders'	187.0
[ header: name \| type \| elevation (ground station) \| elevation (mountain station) \| slope length \| capacity (persons/hour) \| construction year row 1 : fiesch- -alp 1+2 \| cable car \| 1074 \| 2227 \| 2940 \| 800 \| 1973 row 2 : fiesch- -alp 3+4 \| cable car \| 1071 \| 2221 \| 2937 \| 270 \| 1966 row 3 : fiescheralp-eggishorn \| cable car \| 2225 \| 2879 \| 1836 \| 495 \| 1968 row 4 : heimat \| chairlift \| 1858 \| 2301 \| 1144 \| 1400 \| 2000 row 5 : talegga \| chairlift \| 2208 \| 2727 \| 1782 \| 2200 \| 2010 row 6 : flesch \| chairlift \| 2208 \| 2630 \| 1357 \| 2400 \| 1993 row 7 : trainer 1 \| surface lift \| 2206 \| 2264 \| 218 \| 1200 \| 1987 row 8 : trainer 2 \| surface lift \| 2206 \| 2264 \| 218 \| 1200 \| 1987 row 9 : laxeralp 1 \| surface lift \| 2135 \| 2179 \| 396 \| 1100 \| 1981 row 10 : laxeralp 2 \| surface lift \| 2179 \| 2280 \| 394 \| 1214 \| 1981 ] Execute this SQL based on the above table: select name where id = ( select id where name = 'laxeralp 1' ) + 1	laxeralp 2
[ header: date \| opponent# \| rank# \| site \| tv \| result \| attendance row 1 : 9-4-2010 \| miami (oh) \| #4 \| ben hill griffin stadium • gaine \| espn \| w 34-12 \| 90178 row 2 : 9-11-2010 \| south florida \| #8 \| ben hill griffin stadium • gaine \| secn \| w 38-14 \| 90612 row 3 : 9-18-2010 \| at tennessee \| #10 \| neyland stadium • knoxville \| cbs \| w 31-17 \| 102455 row 4 : 9-25-2010 \| kentucky \| #9 \| ben hill griffin stadium • gaine \| espnu \| w 48-14 \| 90547 row 5 : 10-2-2010 \| at #1 alabama \| #7 \| bryant-denny stadium • \| cbs \| l 6-31 \| 101821 row 6 : 10-9-2010 \| #12 lsu \| #14 \| ben hill griffin stadium • gaine \| espn \| l 29-33 \| 90721 row 7 : 10-16-2010 \| mississippi state \| #22 \| ben hill griffin stadium • gaine \| espnu \| l 7-10 \| 90517 row 8 : 10-30-2010 \| vs. georgia \| None \| everbank field • jacksonville, \| cbs \| w 34-31 ot \| 84444 row 9 : 11-6-2010 \| at vanderbilt \| None \| vanderbilt stadium • nashville \| secn \| w 55-14 \| 33848 row 10 : 11-13-2010 \| #22 south carolina \| #24 \| ben hill griffin stadium • gaine \| espn \| l 14-36 \| 90885 row 11 : 11-20-2010 \| appalachian state \| None \| ben hill griffin stadium • gaine \| espn3 \| w 48-10 \| 90119 row 12 : 11-27-2010 \| at #22 florida state \| None \| doak campbell stadium • tallahasse \| abc \| l 7-31 \| 82324 row 13 : 1-1-2011 \| vs. penn state \| None \| raymond james stadium • t \| abc \| w 37-24 \| 60574 ] Execute this SQL based on the above table: select count ( * )	13
[ header: property \| test method \| units \| 4275 \| 4301 \| 4435 \| 4630 \| 4645 row 1 : tensile strength \| astm d 638 \| mpa (kpsi) \| 117 (16.9) \| 113 (16.4) \| 94 (13.6) \| 81 (11.8) \| 114 (16.6) row 2 : tensile modulus \| astm d 638 \| gpa (kpsi) \| 8.8 (1,280) \| 6.8 (990) \| 14.5 (2,100) \| 7.4 (1,080) \| 18.6 (2,700) row 3 : tensile elongation \| astm d 638 \| % \| 2.6 \| 3.3 \| 1 \| 1.9 \| 0.8 row 4 : flexural strength \| astm d 790 \| mpa (kpsi) \| 208 (30.2) \| 215 (31.2) \| 152 (22.0) \| 131 (19.0) \| 154 (22.4) row 5 : flexural modulus \| astm d 790 \| gpa (kpsi) \| 7.3 (1.060) \| 6.9 (1,000) \| 14.8 (2,150) \| 6.8 (990) \| 12.4 (1,800) row 6 : compressive strength \| astm d 695 \| mpa (kpsi) \| 123 (17.8) \| 166 (24.1) \| 138 (20.0) \| 99 (14.4) \| 157 (22.8) row 7 : izod impact strength, notched \| astm d 256 \| j/m (ft-lb \| 85 (1.6) \| 64 (1.2) \| 43 (0.8) \| 48 (0.9) \| 37 (0.7) row 8 : izod impact strength, unnotched \| astm d 4812 \| j/m (ft-lb \| 270 (5) \| 430 (8) \| 210 (4) \| 160 (3) \| 110 (2) row 9 : heat deflection temperature at 264 p \| astm d 648 \| °c (°f) \| 280 (536) \| 279 (534) \| 278 (532) \| 280 (536) \| 281 (538) row 10 : coefficient linear thermal expansion \| astm d 696 \| ppm/°c (ppm/ \| 25 (14) \| 25 (14) \| 14 (8) \| 16 (9) \| 9 (3) ] Execute this SQL based on the above table: select count ( property ) where units = 8	0
[ header: year \| tournament \| venue \| result \| rank \| event row 1 : 1993 \| world championships \| stuttgart, germany \| 7911 \| 12th \| decathlon row 2 : 1993 \| universiade \| buffalo, united states \| 7864 \| 2nd \| decathlon row 3 : 1994 \| european indoor championships \| paris, france \| 5888 \| 7th \| heptathlon row 4 : 1994 \| hypo-meeting \| gotzis, austria \| 7779 \| 18th \| decathlon row 5 : 1994 \| european championships \| helsinki, finland \| 7272 \| 20th \| decathlon row 6 : 1995 \| hypo-meeting \| gotzis, austria \| 8041 \| 12th \| decathlon row 7 : 1995 \| universiade \| fukuoka, japan \| 7943 \| 5th \| decathlon row 8 : 1995 \| world championships \| gothenburg, sweden \| 8042 \| 11th \| decathlon row 9 : 1996 \| olympic games \| atlanta, usa \| None \| dnf \| decathlon row 10 : 1997 \| world championships \| athens, greece \| 8140 \| 11th \| decathlon row 11 : 1998 \| european indoor championships \| valencia, spain \| 6055 (pb) \| 7th \| heptathlon row 12 : 1998 \| hypo-meeting \| gotzis, austria \| 8179 (pb) \| 9th \| decathlon row 13 : 1999 \| hypo-meeting \| gotzis, austria \| 7925 \| 10th \| decathlon row 14 : 1999 \| world championships \| seville, spain \| 7851 \| 12th \| decathlon row 15 : 2000 \| hypo-meeting \| gotzis, austria \| 7876 \| 16th \| decathlon row 16 : 2000 \| olympic games \| sydney, australia \| 7932 \| 17th \| decathlon ] Execute this SQL based on the above table: select ( select year where rank = '20th' ) > ( select year where rank = '7th' )	0
[ header: constituency \| region \| name \| party \| last elected row 1 : 1 \| arica and parinacota tarapac \| fulvio rossi \| ps \| 2009 row 2 : 2 \| antofagasta \| carlos cantero ojeda \| ind \| 2005 row 3 : 2 \| antofagasta \| jose antonio gomez \| prsd \| 2005 row 4 : 3 \| atacama \| isabel allende \| ps \| 2009 row 5 : 4 \| coquimbo \| gonzalo uriarte \| udi \| 2005 row 6 : 5 \| valparaiso \| ignacio walker \| pdc \| 2009 row 7 : 5 \| valparaiso \| lily perez \| rn \| 2009 row 8 : 6 \| valparaiso \| ricardo l. weber \| ppd \| 2009 row 9 : 6 \| valparaiso \| francisco chahuan \| rn \| 2009 row 10 : 7 \| santiago \| jovino novoa vasque \| udi \| 2005 row 11 : 8 \| santiago \| soledad alvear valenzue \| pdc \| 2005 row 12 : 9 \| o'higgins \| alejandro garcia-huidobro \| udi \| 2005 row 13 : 9 \| o'higgins \| juan pablo letelier morel \| ps \| 2005 row 14 : 10 \| maule \| ximena rincon \| pdc \| 2009 row 15 : 10 \| maule \| juan antonio colo \| udi \| 2009 row 16 : 11 \| maule \| hernan larrain fernandez \| udi \| 2009 row 17 : 12 \| biobio \| hosain sabag castill \| pdc \| 2005 row 18 : 13 \| biobio \| mariano ruiz-es \| pdc \| 2005 row 19 : 14 \| araucania \| jaime quintana \| ppd \| 2009 row 20 : 14 \| araucania \| alberto espina otero \| rn \| 2009 row 21 : 15 \| araucania \| eugenio tuma \| ppd \| 2009 row 22 : 15 \| araucania \| jose garcia ruminot \| rn \| 2009 row 23 : 16 \| los rios (plus district 55) \| carlos larrain pena \| rn \| 2005 row 24 : 16 \| los rios (plus district 55) \| eduardo frei rui \| pdc \| 2005 row 25 : 17 \| los lagos (minus district 55) \| camilo escalona medin \| ps \| 2005 row 26 : 17 \| los lagos (minus district 55) \| carlos kuschel silva \| rn \| 2005 row 27 : 18 \| aisen \| patricio walker \| pdc \| 2009 row 28 : 18 \| aisen \| antonio horvath \| rn \| 2001 row 29 : 19 \| magallanes \| carlos bianchi chelech (vic \| ind \| 2005 row 30 : 19 \| magallanes \| pedro munoz abur \| ps \| 2005 ] Execute this SQL based on the above table: select count ( * ) where party = 'pdc'	7
[ header: name \| lifetime \| nationality \| notable as \| notes row 1 : jacques d'adelsward- \| 1880-1923 \| french \| aristocrat and writer \| g row 2 : charles coypeau d' \| 1605-1677 \| french \| musician and burlesque poet \| g row 3 : jeffrey dahmer \| 1960-1994 \| american \| serial killer \| g row 4 : matt dallas \| b. 1982 \| american \| actor \| g row 5 : joe dallesandro \| b. 1948 \| american \| actor \| b row 6 : alain danielou \| 1907-1994 \| french \| academic, hindu convert \| g row 7 : ben daniels \| b. 1964 \| english \| actor \| g row 8 : jason danino-holt \| b. 1987 \| israeli \| television personality \| g row 9 : martin dannecker \| b. 1942 \| german \| sexologist, writer \| g row 10 : brian dannelly \| b. ? \| american \| film director \| g row 11 : charlie david \| b. 1980 \| canadian \| actor \| g row 12 : dave davies \| b. 1947 \| english \| musician \| b row 13 : russell t davies \| b. 1963 \| british \| television producer and writer \| g row 14 : terence davies \| b. 1945 \| english \| filmmaker \| g row 15 : angela davis \| b. 1944 \| american \| activist \| l row 16 : richard deacon \| 1921-1984 \| american \| actor \| g row 17 : mercedes de acosta \| 1893-1968 \| american \| writer, socialite \| l row 18 : andreas deja \| b. 1957 \| german \| animator \| g row 19 : casey dellacqua \| b. 1985 \| australian \| tennis player \| l row 20 : robert denning \| 1927-2005 \| american \| interior designer \| g row 21 : felipa de souza \| 1556-1600 \| brazilian \| None \| l row 22 : marlene dietrich \| 1901-1992 \| german \| actor \| b row 23 : kristian digby \| 1977-2010 \| british \| television presenter and director \| g row 24 : divine \| 1945-1988 \| american \| actor, drag performer \| g row 25 : jess dobkin \| b. 1970 \| canadian \| performance artist \| l row 26 : domenico dolce \| b. 1958 \| italian \| fashion designer, dolce & gabban \| g row 27 : savannah dooley \| b. 1985 \| american \| screenwriter \| l row 28 : kyan douglas \| b. 1970 \| american \| reality show host \| g row 29 : orville lloyd douglas \| b. 1976 \| canadian \| writer \| g row 30 : karla drenner \| b. 1961 \| american \| politician, academic \| l row 31 : donna dresch \| b. ? \| american \| rock musician \| l row 32 : james dreyfus \| b. 1968 \| english \| actor \| g row 33 : nancy drolet \| b. 1973 \| canadian \| ice hockey player \| l row 34 : carol ann duffy \| b. 1955 \| scottish \| poet \| l row 35 : daphne du maurier \| 1907-1989 \| english \| author \| b row 36 : eric durchholz \| b. 1972 \| american \| author \| g ] Execute this SQL based on the above table: select notes order by lifetime desc limit 1	g
[ header: # \| menteri besar \| took office \| left office \| party row 1 : 1 \| jaafar mohamed \| 1886 \| july 1890 \| no party row 2 : 2 \| mohamed mahbob \| june 1920 \| 1922 \| no party row 3 : 3 \| abdullah jaafar \| september 1923 \| 1928 \| no party row 4 : 4 \| mustapha jaafar \| september 16, 1928 \| november 23, 1931 \| no party row 5 : 5 \| abdul hamid yusof \| november 23, 1931 \| december 28, 1934 \| no party row 6 : 6 \| ungku abdul aziz abd \| april 1935 \| june 1, 1947 \| no party row 7 : 7 \| onn jaafar \| june 1, 1947 \| may 18, 1950 \| no party row 8 : 8 \| syed abdul kadir mo \| february 18, 1952 \| june 5, 1955 \| no party row 9 : 9 \| wan idris ibra \| october 1, 1955 \| august 31, 1957 \| no party ] Execute this SQL based on the above table: select left office where id = ( select id where left office = 'december 28, 1934' ) - 1	november 23, 1931
[ header: station complex \| individual stations \| lines \| services \| notes row 1 : 42nd street / fifth avenue - br \| fifth avenue \| irt flushing line \| 7 <7> \| a paper transfer was added between the ind row 2 : 50th street \| upper level \| ind eighth avenue line \| a c \| the station became a transfer station when the queen row 3 : lexington avenue / 51st \| 51st street \| irt lexington avenue line \| 4 6 <6> \| a passageway connects these two stations on row 4 : seventh avenue \| cross-platform interchange on two levels \| ind sixth avenue line \| b d \| the station became a transfer station when the sixth row 5 : 59th street - columbus circle \| 59th street - columbus circle \| irt broadway - seventh avenue \| 1 2 \| the irt broadway - seventh row 6 : 59th street - columbus circle \| 59th street - columbus circle \| ind eighth avenue line \| a b c d \| the irt broadway - seventh row 7 : lexington avenue / 59th- \| 59th street \| irt lexington avenue line \| 4 5 6 <6> \| the passageways between the broadway line and the row 8 : 168th street \| 168th street \| irt broadway - seventh avenue \| 1 \| at the crossing of the irt broad ] Execute this SQL based on the above table: select count ( * )	8
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| russia \| 7 \| 3 \| 0 \| 10 row 2 : 2 \| italy \| 1 \| 3 \| 0 \| 4 row 3 : 3 \| france \| 1 \| 1 \| 2 \| 4 row 4 : 4 \| austria \| 1 \| 1 \| 0 \| 2 row 5 : 4 \| germany \| 1 \| 1 \| 0 \| 2 row 6 : 4 \| iran \| 1 \| 1 \| 0 \| 2 row 7 : 4 \| israel \| 1 \| 1 \| 0 \| 2 row 8 : 8 \| poland \| 1 \| 0 \| 5 \| 6 row 9 : 9 \| netherlands \| 1 \| 0 \| 1 \| 2 row 10 : 9 \| romania \| 1 \| 0 \| 1 \| 2 row 11 : 11 \| belgium \| 1 \| 0 \| 0 \| 1 row 12 : 11 \| mexico \| 1 \| 0 \| 0 \| 1 row 13 : 13 \| spain \| 0 \| 2 \| 0 \| 2 row 14 : 14 \| sweden \| 0 \| 1 \| 3 \| 4 row 15 : 15 \| colombia \| 0 \| 1 \| 1 \| 2 row 16 : 15 \| ukraine \| 0 \| 1 \| 1 \| 2 row 17 : 17 \| denmark \| 0 \| 1 \| 0 \| 1 row 18 : 17 \| switzerland \| 0 \| 1 \| 0 \| 1 row 19 : 19 \| algeria \| 0 \| 0 \| 1 \| 1 row 20 : 19 \| greece \| 0 \| 0 \| 1 \| 1 row 21 : 19 \| kazakhstan \| 0 \| 0 \| 1 \| 1 row 22 : 19 \| slovenia \| 0 \| 0 \| 1 \| 1 row 23 : total \| total \| 18 \| 18 \| 18 \| 54 ] Execute this SQL based on the above table: select nation where silver = 1 and silver = 1	france, austria, germany, iran, israel, sweden, colombia, ukraine, denmark, switzerland
[ header: rank \| area \| date \| presenter \| seven wonders covered row 1 : 1 \| south west \| 3 may \| samantha smith \| dartmoor, jurassic coast, row 2 : 2 \| yorkshire & lincolnshire \| 9 may \| paul hudson \| malham cove, the three peaks, row 3 : 3 \| london \| 16 may \| bill oddie \| islands in the river thames, the row 4 : 4 \| the north \| 23 may \| chris jackson \| lake district, river wear, whin sill row 5 : 5 \| the south \| 30 may \| aubrey manning \| the needles, lulworth cove row 6 : 6 \| the midlands \| 6 june \| dominic heale \| kinder scout, dovedale row 7 : 7 \| the west country \| 17 june \| amanda parr \| avebury, symonds row 8 : 8 \| south east \| 22 june \| kaddy lee-preston \| white cliffs of dover, seven sisters ] Execute this SQL based on the above table: select rank group by rank order by count ( * ) desc limit 1	8
[ header: year \| title \| album \| uk \| b-sides row 1 : 2004 \| "kim wilde" (download-only) \| grey will fade \| None \| None row 2 : 2004 \| "summer" \| grey will fade \| 31 \| commodore; smut row 3 : 2005 \| "bastardo" \| grey will fade \| 31 \| 3 minutes; i am a kamera row 4 : 2006 \| "behave" \| the deep blue \| 168 \| mr. ed; cou row 5 : 2007 \| "i want you to know" \| the deep blue \| 108 \| sister universe; suspiria row 6 : 2007 \| "siberia" \| the deep blue \| None \| last night; this is pop; i don row 7 : 2007 \| "again" \| the deep blue \| None \| again (acoustic) row 8 : 2007 \| "ch v fd (deep blue \| non-album single \| None \| dawn treader (fredmix); it is row 9 : 2009 \| "white" \| new worlds \| None \| white (squarepusher remix); white (a row 10 : 2009 \| "alexander" \| new worlds \| None \| alexander (radio edit); alex ] Execute this SQL based on the above table: select year where title = '"kim wilde" (download-only)'	2004
[ header: township \| fips \| population center \| population \| population density (/mi2) \| population density (/km2) \| land area (mi2) \| land area (km2) \| water area (mi2) \| water area (km2) \| geographic coordinates row 1 : center \| 90735 \| None \| 515 \| 36.8 \| 14.2 \| 13.99 \| 36.23 \| 0.0339 \| 0.0878 \| 35°24′20′′n 92° row 2 : clark \| 90813 \| london \| 2969 \| 115.3 \| 44.6 \| 25.73 \| 66.64 \| 6.0444 \| 15.6549 \| 35°19′45′′n 93° row 3 : convenience \| 90921 \| None \| 933 \| 50.4 \| 19.4 \| 18.53 \| 47.99 \| 0.0942 \| 0.244 \| 35°20′00′′n 92° row 4 : dover \| 91134 \| dover \| 5277 \| 119.1 \| 46 \| 44.29 \| 114.7 \| 0.3637 \| 0.942 \| 35°23′30′′n 93° row 5 : freeman \| 91377 \| None \| 98 \| 0.8 \| 0.3 \| 119.78 \| 310.2 \| 0 \| 0 \| 35°39′10′′n 93° row 6 : galla \| 91407 \| pottsville \| 3523 \| 88.7 \| 34.3 \| 39.71 \| 102.8 \| 1.841 \| 4.7682 \| 35°13′15′′n 93° row 7 : griffin \| 91536 \| None \| 901 \| 26.5 \| 10.2 \| 33.96 \| 87.96 \| 0.1106 \| 0.2865 \| 35°25′30′′n 92° row 8 : illinois \| 91812 \| russellville \| 25841 \| 540.9 \| 208.9 \| 47.77 \| 123.7 \| 6.6022 \| 17.0996 \| 35°17′00′′n 93° row 9 : liberty \| 92181 \| None \| 805 \| 14.2 \| 5.5 \| 56.64 \| 146.7 \| 0.0028 \| 0.0073 \| 35°29′40′′n 93° row 10 : martin \| 92415 \| None \| 1482 \| 23.7 \| 9.2 \| 62.46 \| 161.8 \| 0.3931 \| 1.0181 \| 35°28′25′′n 93° row 11 : phoenix \| 92871 \| None \| 334 \| 26.7 \| 10.3 \| 12.51 \| 32.4 \| 0 \| 0 \| 35°24′30′′n 93° row 12 : smyrna \| 93420 \| None \| 173 \| 2.4 \| 0.9 \| 70.69 \| 183.1 \| 0.0218 \| 0.0565 \| 35°38′10′′n 92° row 13 : valley \| 93765 \| None \| 2776 \| 125.7 \| 48.5 \| 22.09 \| 57.21 \| 0.0144 \| 0.0373 \| 35°20′05′′n 93° ] Execute this SQL based on the above table: select population where geographic coordinates = '35°20′00′′n 92°56′41′′w / 35.33333°n 92.94472°w'	933
[ header: district \| name \| party \| district office \| first elected row 1 : 1 \| a.g. crowe \| rep \| slidell \| 2007 row 2 : 2 \| troy brown \| dem \| napoleonville \| 2011 row 3 : 3 \| j.p. morrell \| dem \| new orleans \| 2008 row 4 : 4 \| ed murray \| dem \| new orleans \| 2005 row 5 : 5 \| karen carter peterson \| dem \| new orleans \| 2010 row 6 : 6 \| bodi white \| rep \| baton rouge \| 2011 row 7 : 7 \| david heitmeier \| dem \| new orleans \| 2007 row 8 : 8 \| john alario \| rep \| westwego \| 2007 row 9 : 9 \| conrad appel \| rep \| metairie \| 2008 row 10 : 10 \| daniel martiny \| rep \| metairie \| 2007 row 11 : 11 \| jack donahue \| rep \| mandeville \| 2007 row 12 : 12 \| ben nevers \| dem \| bogalusa \| 2003 row 13 : 13 \| dale m. erdey \| rep \| livingston \| 2007 row 14 : 14 \| yvonne dorsey- \| dem \| baton rouge \| 2007 row 15 : 15 \| sharon weston broome \| dem \| baton rouge \| 2004 row 16 : 16 \| dan claitor \| rep \| baton rouge \| 2009 row 17 : 17 \| rick ward, iii \| rep \| port allen \| 2011 row 18 : 18 \| jody amedee \| rep \| gonzales \| 2003 row 19 : 19 \| gary smith, jr \| dem \| norco \| 2011 row 20 : 20 \| norby chabert \| rep \| houma \| 2009 row 21 : 21 \| bret allain \| rep \| franklin \| 2011 row 22 : 22 \| fred h. mills, \| rep \| new iberia \| 2011 row 23 : 23 \| page cortez \| rep \| lafayette \| 2011 row 24 : 24 \| elbert guillory \| rep \| opelousas \| 2009 row 25 : 25 \| dan "blade" morrish \| rep \| jennings \| 2007 row 26 : 26 \| jonathan perry \| rep \| kaplan \| 2011 row 27 : 27 \| ronnie johns \| rep \| lake charles \| 2011 row 28 : 28 \| eric lafleur \| dem \| ville platte \| 2007 row 29 : 29 \| rick gallot \| dem \| ruston \| 2011 row 30 : 30 \| john r. smith \| rep \| leesville \| 2007 row 31 : 31 \| gerald long \| rep \| winnfield \| 2007 row 32 : 32 \| neil riser \| rep \| columbia \| 2007 row 33 : 33 \| mike walsworth \| rep \| west monroe \| 2007 row 34 : 34 \| francis c. thomp \| dem \| delhi \| 2007 row 35 : 35 \| robert kostelka \| rep \| monroe \| 2003 row 36 : 36 \| robert adley \| rep \| benton \| 2003 row 37 : 37 \| barrow peacock \| rep \| bossier \| 2011 row 38 : 38 \| sherri smith buffington \| rep \| keithville \| 2003 row 39 : 39 \| gregory tarver \| dem \| shreveport \| 2011 ] Execute this SQL based on the above table: select count ( * ) where party = party	39
[ header: # \| title \| featured guest(s) \| producer(s) \| length row 1 : 1 \| "intro (skit)" \| None \| None \| 1:50 row 2 : 2 \| "zero" \| None \| lewis parker \| 4:01 row 3 : 3 \| "it's murda" \| None \| harry love \| 5:01 row 4 : 4 \| "jankrowville" \| None \| l. dolo \| 5:26 row 5 : 5 \| "parrowdice" \| kyza and skriblah \| harry love \| 5:52 row 6 : 6 \| "b 4 u die" \| kyza and skriblah \| joe buhdha \| 4:09 row 7 : 7 \| "all i got" \| None \| joe buhdha \| 4:00 row 8 : 8 \| "black rose" \| None \| joe buhdha \| 4:04 row 9 : 9 \| "lynching (skit)" \| None \| None \| 1:12 row 10 : 10 \| "our time" \| None \| lewis parker \| 3:56 row 11 : 11 \| "terra firma anthum (skit \| None \| None \| 0:52 row 12 : 12 \| "daggo mentality" \| None \| lewis parker \| 4:01 row 13 : 13 \| "neighbour (skit)" \| None \| None \| 0:46 row 14 : 14 \| "son of niah" \| None \| ac.war.ion \| 4:54 ] Execute this SQL based on the above table: select count ( title )	14
[ header: capacitor type \| capacity \| volts \| temp. \| energy-to-weight ratio \| power-to-weight ratio row 1 : act premlis lithium ion capacitor \| 2000 f \| 4.0 v \| 25 °c \| 54 kj/kg to 2.0 v \| 44.4 w/kg @ 5 a row 2 : act premlis lithium ion capacitor \| 2000 f \| 4.0 v \| 25 °c \| 31 kj/kg to 2.0 v \| 850 w/kg @ 10 a row 3 : nesccap electric double-layer capacitor \| 5000 f \| 2.7 v \| 25 °c \| 19.58 kj/kg to 1.35 \| 5.44 w/kg c/1 ( row 4 : nesccap electric double-layer capacitor \| 5000 f \| 2.7 v \| 25 °c \| 5.2 kj/kg to 1.35 \| 5,200 w/kg @ 2,547 row 5 : eestor eesu bar \| 30.693 f \| 3500 v \| 85 °c \| 1471.98 kj/kg \| 80.35 w/kg c/5 row 6 : eestor eesu bar \| 30.693 f \| 3500 v \| 85 °c \| 1471.98 kj/kg \| 8,035 w∕kg 20 c row 7 : general atomics 3330cmx22 \| 20.5 mf \| 3300 v \| None \| 2.3 kj/kg \| 6.8 mw/kg @ 100 ] Execute this SQL based on the above table: select count ( energy-to-weight ratio ) where capacitor type = 1353	0
[ header: pick \| player \| country of origin \| pba team \| college row 1 : 1 \| danilo ildefons \| philippines \| formula shell zoom masters \| national row 2 : 2 \| noy castillo \| united states \| san miguel beermen \| the citadel row 3 : 3 \| ali peek \| united states \| pop cola 800s \| saint mary row 4 : 4 \| brixter encarnacion \| philippines \| pop cola 800s \| san sebastian row 5 : 5 \| william antonio \| united states \| san miguel beermen \| chaminade university row 6 : 6 \| banjo calpito \| philippines \| sta. lucia realtors \| san sebastian row 7 : 7 \| henry fernandez \| philippines \| purefoods carne norte beefies \| visayas row 8 : 8 \| steven smith \| united states \| gordon's gin boar \| united states international university ] Execute this SQL based on the above table: select pick where player = 'henry fernandez'	7
[ header: year \| single \| chart \| position row 1 : 1986 \| "best of both worlds" \| album rock tracks \| 12 row 2 : 1986 \| "dreams" \| album rock tracks \| 6 row 3 : 1986 \| "dreams" \| billboard hot 100 \| 22 row 4 : 1986 \| "love walks in" \| album rock tracks \| 4 row 5 : 1986 \| "love walks in" \| billboard hot 100 \| 22 row 6 : 1986 \| "summer nights" \| album rock tracks \| 33 row 7 : 1986 \| "why can't this be love" \| album rock tracks \| 1 row 8 : 1986 \| "why can't this be love" \| billboard hot 100 \| 3 ] Execute this SQL based on the above table: select chart where chart = 'album rock tracks' and chart in ( 'album rock tracks' , 'billboard hot 100' )	album rock tracks, album rock tracks, album rock tracks, album rock tracks, album rock tracks
[ header: place \| code \| area (km2) \| population \| most spoken language row 1 : beatrix mine \| 40701 \| 0.17 \| 2492 \| sotho row 2 : boipatong \| 40702 \| 0.31 \| 1501 \| sotho row 3 : brandfort \| 40703 \| 3.2 \| 1516 \| afrikaans row 4 : fora \| 40704 \| 0.05 \| 530 \| sotho row 5 : ikgomotseng \| 40705 \| 1.07 \| 2254 \| tswana row 6 : joel mine \| 40706 \| 0.11 \| 728 \| sotho row 7 : lusaka \| 40707 \| 1.4 \| 6110 \| sotho row 8 : majwemasweu \| 40708 \| 2.5 \| 10328 \| sotho row 9 : makeleketla \| 40709 \| 1.35 \| 6629 \| sotho row 10 : masilo \| 40710 \| 3.02 \| 14903 \| sotho row 11 : star diamond mine \| 40712 \| 0.11 \| 212 \| sotho row 12 : theunissen \| 40713 \| 15.11 \| 1667 \| afrikaans row 13 : tshepong \| 40714 \| 0.54 \| 1710 \| sotho row 14 : verkeerdevlei \| 40715 \| 1.22 \| 151 \| afrikaans row 15 : winburg \| 40716 \| 70.22 \| 3371 \| sotho row 16 : remainder of the municipality \| 40711 \| 6696.44 \| 10304 \| sotho ] Execute this SQL based on the above table: select ( select population where most spoken language = 'sotho' ) <= 514	0
[ header: language \| number \| percentage (%) \| males \| females row 1 : polish \| 447685 \| 80.86 \| 216794 \| 230891 row 2 : yiddish \| 51215 \| 9.25 \| 24538 \| 26677 row 3 : german \| 35931 \| 6.49 \| 17409 \| 18522 row 4 : russian \| 15137 \| 2.73 \| 13551 \| 1586 row 5 : ukrainian \| 2350 \| 0.42 \| 2302 \| 48 row 6 : other \| 1285 \| 0.23 \| 1041 \| 244 row 7 : persons that didn't name their native language \| 27 \| >0.01 \| 14 \| 13 row 8 : total \| 553633 \| 100 \| 275652 \| 277981 ] Execute this SQL based on the above table: select males where language = 'yiddish'	24538
[ header: place \| team \| matches \| won \| drawn \| lost \| difference \| points row 1 : 1 \| canada \| 6 \| 6 \| 0 \| 0 \| 62-6 \| 12 row 2 : 2 \| sweden \| 6 \| 4 \| 1 \| 1 \| 33-14 \| 9 row 3 : 3 \| switzerland \| 6 \| 4 \| 1 \| 1 \| 28-12 \| 9 row 4 : 4 \| norway \| 6 \| 2 \| 0 \| 4 \| 10-27 \| 4 row 5 : 5 \| great britain \| 6 \| 1 \| 1 \| 4 \| 18-42 \| 3 row 6 : 6 \| united states \| 6 \| 1 \| 1 \| 4 \| 14-42 \| 3 row 7 : 7 \| finland \| 6 \| 1 \| 0 \| 5 \| 15-37 \| 2 ] Execute this SQL based on the above table: select team group by difference order by count ( * ) desc limit 1	canada
[ header: rank \| athlete \| ski time \| penalties p+s+p+s \| total row 1 : None \| zhang qing (chn) \| 59:53.2 \| 1+1+0+1 \| 1:02:53.2 row 2 : None \| dmitriy pozdn \| 1:01:01.0 \| 0+2+0+0 \| 1:03:01.0 row 3 : None \| dmitriy pantov ( \| 59:24.8 \| 1+2+0+1 \| 1:03:24.8 row 4 : 4 \| hideki yamamoto (jpn) \| 1:02:55.5 \| 0+1+3+0 \| 1:06:55.5 row 5 : 5 \| qiu lianhai (ch \| 1:03:18.9 \| 1+1+0+2 \| 1:07:18.9 row 6 : 6 \| shin byung-gook (kor \| 1:02:49.3 \| 1+2+1+1 \| 1:07:49.3 row 7 : 7 \| son hae-kwon (kor) \| 1:02:58.3 \| 1+1+2+1 \| 1:07:58.3 row 8 : 8 \| wang xin (chn) \| 1:04:42.4 \| 2+1+1+1 \| 1:09:42.4 row 9 : 9 \| naoki shindo \| 1:03:08.5 \| 3+1+0+3 \| 1:10:08.5 row 10 : 9 \| jeon jae-won (kor) \| 1:02:08.5 \| 2+2+2+2 \| 1:10:08.5 row 11 : 11 \| alexey karevskiy ( \| 1:03:28.8 \| 3+1+1+2 \| 1:10:28.8 row 12 : 12 \| sergey abdukarov (kaz \| 1:05:11.4 \| 1+2+1+3 \| 1:12:11.4 row 13 : 13 \| takashi shindo ( \| 1:01:15.0 \| 3+3+2+4 \| 1:13:15.0 row 14 : 14 \| shinji ebisawa (jp \| 1:04:13.6 \| 3+3+1+3 \| 1:14:13.6 row 15 : 15 \| choi neung-chul \| 1:08:50.6 \| 3+2+0+1 \| 1:14:50.6 row 16 : 16 \| byamba enkh-amgalan \| 1:15:20.4 \| 4+5+2+2 \| 1:28:20.4 ] Execute this SQL based on the above table: select athlete order by total desc limit 1	zhang qing (chn)
[ header: pump type and source \| typical use \| 35 °c (e.g. heated screed floor) \| 45 °c (e.g. heated screed floor) \| 55 °c (e.g. heated timber floor) \| 65 °c (e.g. radiator or dhw) \| 75 °c (e.g. radiator and dhw) \| 85 °c (e.g. radiator and dhw) row 1 : high-efficiency air source heat pump (ashp \| None \| 2.2 \| 2 \| None \| None \| None \| None row 2 : two-stage ashp, air at \| low source temperature \| 2.4 \| 2.2 \| 1.9 \| None \| None \| None row 3 : high efficiency ashp, air at 0 \| low output temperature \| 3.8 \| 2.8 \| 2.2 \| 2 \| None \| None row 4 : prototype transcritical co 2 (r744) heat \| high output temperature \| 3.3 \| None \| None \| 4.2 \| None \| 3 row 5 : ground source heat pump (gshp), \| None \| 5 \| 3.7 \| 2.9 \| 2.4 \| None \| None row 6 : gshp, ground at 10 \| low output temperature \| 7.2 \| 5 \| 3.7 \| 2.9 \| 2.4 \| None row 7 : theoretical carnot cycle limit, source -20 \| None \| 5.6 \| 4.9 \| 4.4 \| 4 \| 3.7 \| 3.4 row 8 : theoretical carnot cycle limit, source 0 \| None \| 8.8 \| 7.1 \| 6 \| 5.2 \| 4.6 \| 4.2 row 9 : theoretical lorentzen cycle limit (co 2 \| None \| 10.1 \| 8.8 \| 7.9 \| 7.1 \| 6.5 \| 6.1 row 10 : theoretical carnot cycle limit, source 10 ° \| None \| 12.3 \| 9.1 \| 7.3 \| 6.1 \| 5.4 \| 4.8 ] Execute this SQL based on the above table: select pump type and source group by pump type and source order by count ( 45 °c (e.g. heated screed floor) ) desc limit 1	two-stage ashp, air at -20 °c
[ header: date \| opposition \| result \| score \| brazil scorers \| competition row 1 : january 26, 1982 \| east germany \| w \| 3-1 \| paulo isidoro, \| international friendly row 2 : march 3, 1982 \| czechoslovakia \| d \| 1-1 \| zico \| international friendly row 3 : march 21, 1982 \| west germany \| w \| 1-0 \| junior \| international friendly row 4 : may 5, 1982 \| portugal \| w \| 3-1 \| junior, eder, zico \| international friendly row 5 : may 19, 1982 \| switzerland \| d \| 1-1 \| zico \| international friendly row 6 : may 27, 1982 \| republic of ireland \| w \| 7-0 \| falcao, socrates (2), ser \| international friendly row 7 : june 14, 1982 \| soviet union \| w \| 2-1 \| socrates, eder \| world cup row 8 : june 18, 1982 \| scotland \| w \| 4-1 \| zico, oscar, e \| world cup row 9 : june 23, 1982 \| new zealand \| w \| 4-0 \| zico (2), falcao, serg \| world cup row 10 : july 2, 1982 \| argentina \| w \| 3-1 \| zico, serginho chulapa \| world cup row 11 : july 5, 1982 \| italy \| l \| 2-3 \| socrates, falcao \| world cup ] Execute this SQL based on the above table: select result where competition = 'international friendly'	w, d, w, w, d, w
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| canada \| 9 \| 6 \| 5 \| 20 row 2 : 2 \| united states \| 8 \| 7 \| 8 \| 23 row 3 : 3 \| austria \| 7 \| 9 \| 8 \| 24 row 4 : 4 \| japan \| 4 \| 2 \| 1 \| 7 row 5 : 5 \| italy \| 3 \| 7 \| 4 \| 14 row 6 : 6 \| france \| 3 \| 4 \| 4 \| 11 row 7 : 7 \| australia \| 3 \| 4 \| 0 \| 7 row 8 : 8 \| norway \| 2 \| 2 \| 2 \| 6 row 9 : 9 \| slovenia \| 2 \| 1 \| 2 \| 5 row 10 : 10 \| finland \| 2 \| 1 \| 1 \| 4 row 11 : 10 \| germany \| 2 \| 1 \| 1 \| 4 row 12 : 12 \| russia \| 2 \| 0 \| 3 \| 5 row 13 : 13 \| switzerland \| 1 \| 5 \| 5 \| 11 row 14 : 14 \| china \| 1 \| 1 \| 1 \| 3 row 15 : 15 \| poland \| 1 \| 1 \| 0 \| 2 row 16 : 16 \| czech republic \| 1 \| 0 \| 1 \| 2 row 17 : 17 \| belgium \| 1 \| 0 \| 0 \| 1 row 18 : 18 \| netherlands \| 0 \| 1 \| 0 \| 1 row 19 : 19 \| spain \| 0 \| 0 \| 3 \| 3 row 20 : 20 \| bulgaria \| 0 \| 0 \| 1 \| 1 row 21 : 20 \| great britain \| 0 \| 0 \| 1 \| 1 row 22 : 20 \| sweden \| 0 \| 0 \| 1 \| 1 row 23 : total \| total \| 52 \| 52 \| 52 \| 156 ] Execute this SQL based on the above table: select nation order by nation asc limit 1	australia
[ 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 count ( nation )	11
[ header: no \| driver \| entrant \| constructor \| chassis \| engine \| tyre row 1 : 2 \| johnny claes \| ecurie belge \| talbot-lago \| talbot-lago t26c \| talbot 23cv 4.5 l \| d row 2 : 6 \| yves giraud-cab \| yves giraud-cab \| talbot-lago \| talbot-lago t26c \| talbot 23cv 4.5 l \| d row 3 : 8 \| louis rosier \| ecurie rosier \| talbot-lago \| talbot-lago t26c \| talbot 23cv 4.5 l \| d row 4 : 10 \| henri louveau \| ecurie rosier \| talbot-lago \| talbot-lago t26c \| talbot 23cv 4.5 l \| d row 5 : 12 \| george abecassis \| hw motors \| hwm-alta \| hwm 51 \| alta 1.5 l4s \| d row 6 : 16 \| peter whitehead \| scuderia ferrari \| ferrari \| ferrari 125 \| ferrari 125 f1 1.5 v \| d row 7 : 18 \| luigi villoresi \| scuderia ferrari \| ferrari \| ferrari 375 \| ferrari type 375 4.5 v12 \| p row 8 : 20 \| alberto ascari \| scuderia ferrari \| ferrari \| ferrari 375 \| ferrari type 375 4.5 v12 \| p row 9 : 22 \| nino farina \| alfa romeo spa \| alfa romeo \| alfa romeo 159a \| alfa romeo 1.5 l8 \| p row 10 : 24 \| juan manuel fangio \| alfa romeo spa \| alfa romeo \| alfa romeo 159a \| alfa romeo 1.5 l8 \| p row 11 : 26 \| toulo de graffenried \| alfa romeo spa \| alfa romeo \| alfa romeo 159a \| alfa romeo 1.5 l8 \| p row 12 : 30 \| louis chiron \| enrico plate \| maserati \| maserati 4clt-48 \| maserati 4 cl 1.5 \| p row 13 : 32 \| harry schell \| enrico plate \| maserati \| maserati 4clt-48 \| maserati 4 cl 1.5 \| p row 14 : 40 \| guy mairesse \| yves giraud-cab \| talbot-lago \| talbot-lago t26c \| talbot 23cv 4.5 l \| d row 15 : 42 \| jose froilan gonzal \| jose froilan gonzal \| talbot-lago \| talbot-lago t26c \| talbot 23cv 4.5 l \| d row 16 : 48 \| maurice trintignant \| equipe gordini \| simca-gordini \| simca-gordini t \| simca-gordini 15c \| e row 17 : 52 \| peter hirt \| peter hirt \| veritas \| veritas meteor \| veritas 2.0 l6 \| None ] Execute this SQL based on the above table: select entrant order by no desc limit 1	peter hirt
[ header: name \| armenian \| location \| # of prisoners designed for \| notes row 1 : nubarashen \| «նուբարաշեն» \| nubarashen, yerevan \| 840 \| None row 2 : kosh \| «կոշ» \| kosh, aragatsot \| 640 \| None row 3 : sevan \| «սեւան» \| hrazdan, kotayk \| 548 \| None row 4 : prison hospital \| «դատապարտյալների հիվանդանոց» \| kentron, yerevan \| 464 \| None row 5 : erebuni \| «էրեբունի» \| nubarashen, yerevan \| 391 \| None row 6 : artik \| «արթիկ» \| harich, shirak \| 373 \| None row 7 : abovyan \| «աբովյան» \| abovyan, kotay \| 250 \| for women and minors row 8 : vanadzor \| «վանաձոր» \| vanadzor, lori \| 245 \| None row 9 : goris \| «գորիս» \| goris, syunik \| 215 \| None row 10 : hrazdan \| «հրազդան» \| hrazdan, kotayk \| 215 \| None row 11 : vardashen \| «վարդաշեն» \| nubarashen, yerevan \| 150 \| for former policemen and military officers row 12 : yerevan-center \| «երեւան-կենտրոն» \| kentron, yerevan \| 60 \| None row 13 : total \| total \| total \| 4391 \| None ] Execute this SQL based on the above table: select location order by # of prisoners designed for desc limit 1	total
[ header: title \| release \| 6th gen \| handheld \| note row 1 : buggy grand prix: kattobi! \| 2003 \| playstation 2 \| None \| None row 2 : gunbird special edition / gunbird 1& \| 2004 \| playstation 2 \| None \| None row 3 : psikyo shooting collection vol. \| 2004 \| playstation 2 \| None \| released and published in europe by play it as row 4 : psikyo shooting collection vol. \| 2004 \| playstation 2 \| None \| None row 5 : psikyo shooting collection vol. \| 2004 \| playstation 2 \| None \| None row 6 : taisen hot gimmick \| 2004 \| playstation 2 \| None \| None row 7 : sengoku cannon \| 2005 \| None \| psp \| None row 8 : taisen hot gimmick \| 2005 \| playstation 2 \| None \| None ] Execute this SQL based on the above table: select 6th gen where 6th gen in ( 'playstation 2' , 'playstation 2' ) order by release asc limit 1	playstation 2
[ header: date \| ship \| nationality \| tonnage \| fate row 1 : 19 august 1941 \| ss aguila \| united kingdom \| 3255 \| sunk row 2 : 27 november 1941 \| hmas parramatta \| royal australian navy \| 1060 \| sunk row 3 : 23 december 1941 \| ss shuntien \| united kingdom \| 3059 \| sunk row 4 : 26 december 1941 \| ss warszawa \| poland \| 2487 \| sunk row 5 : 10 june 1942 \| mv athene \| norway \| 4681 \| sunk row 6 : 10 june 1942 \| ss brambleleaf \| united kingdom \| 5917 \| damaged ] Execute this SQL based on the above table: select count ( nationality ) where tonnage < ( select tonnage where nationality = 'poland' )	1
[ header: year \| ring name (birth name) \| inducted by \| inducted for \| notes row 1 : 2007 \| gene anderson \| bill eadie \| wrestling \| posthumous induction; won the n row 2 : 2007 \| ole anderson (alan rog \| bill eadie \| wrestling \| won the nwa mid-atlantic/ row 3 : 2007 \| penny banner (mary ann kostec \| nickla roberts \| women's wrestling \| won the nwa women's world row 4 : 2007 \| swede hanson (rober \| gary hart \| wrestling \| posthumous induction; won the n row 5 : 2008 \| paul jones (paul fr \| jack brisco \| wrestling and managing \| won the nwa mid-atlantic heavy row 6 : 2008 \| ivan koloff (oreal per \| don kernodle \| wrestling \| won the nwa mid-atlantic heavy row 7 : 2008 \| thunderbolt patterson (claude \| ole anderson \| wrestling \| won the nwa georgia row 8 : 2008 \| sandy scott (angus mackay \| bob caudle \| wrestling and promoting \| worked as an executive for jim cro row 9 : 2008 \| grizzly smith (aurelian \| magnum t.a \| wrestling \| won the nwa united states tag team row 10 : 2008 \| johnny weaver (kenneth \| rip hawk \| wrestling \| posthumous induction; won the n row 11 : 2009 \| don fargo (don kalt) \| jerry jarrett & \| wrestling \| won the nwa southern tag team championship row 12 : 2009 \| jackie fargo (henry \| jerry jarrett & \| wrestling \| won the nwa world tag team championship row 13 : 2009 \| sonny fargo (jack lewis \| jerry jarrett & \| wrestling \| posthumous induction; won the n ] Execute this SQL based on the above table: select notes where inducted by = 2 order by year limit 2007	won the nwa southern tag team championship (mid-america version) (2 times) and nwa world tag team championship (mid-america version) (6 times), won the nwa world tag team championship (mid-america version) (10 times) and nwa southern tag team championship (mid-america version) (22 times), posthumous induction; won the nwa southern tag team championship (mid-america version) (3 times)
[ 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 products where employees = ( select min ( employees ) )	engine blocks, parts
[ header: outcome \| no. \| date \| tournament \| surface \| opponent \| score row 1 : runner-up \| 1 \| 23 august 2004 \| la paz, bolivia \| clay \| jenifer widjaja \| 6-3, 4-6, 0-6 row 2 : runner-up \| 2 \| 6 june 2005 \| santa tecla, e \| clay \| andrea benitez \| 3-6, 0-6 row 3 : runner-up \| 2 \| 22 august 2005 \| bogota, colombia \| clay \| carla tiene \| 4-6, 0-6 row 4 : runner-up \| 4 \| 15 may 2006 \| ciudad obregon, mexico \| hard \| ellah nze \| 6-4, 3-6, 3-6 row 5 : winner \| 1 \| 5 june 2006 \| xalapa, mexico \| hard \| maria irigoyen \| 6-1, 3-6, 6-4 row 6 : winner \| 2 \| 7 september 2009 \| mazatlan, mexico \| hard \| fernanda hermenegildo \| 6-1, 6-2 row 7 : winner \| 3 \| 2 november 2009 \| bogota, colombia \| clay \| yuliana lizarazo \| 7-6(7-5), 6-4 row 8 : runner-up \| 5 \| 16 november 2009 \| asuncion, paraguay \| clay \| paula ormaechea \| 6-4, 4-6, 2-6 row 9 : winner \| 4 \| 8 november 2010 \| bogota, colombia \| clay \| patricia ku flores \| 6-1, 7-5 row 10 : winner \| 5 \| 29 november 2010 \| santiago, chile \| clay \| veronica cepede royg \| 6-2, 6-2 row 11 : winner \| 6 \| 18 july 2011 \| ribeirao preto, brazil \| clay \| vivian segnini \| 6-2, 6-2 row 12 : runner-up \| 6 \| 8 august 2011 \| santa cruz de la sierra \| clay \| maria irigoyen \| 2-6, 3-6 row 13 : winner \| 7 \| 15 august 2011 \| la paz, bolivia \| clay \| maria irigoyen \| 6-0, 7-6(7-1) row 14 : runner-up \| 7 \| 3 october 2011 \| yerevan, armenia \| clay \| julia cohen \| 6-7(6-8), 2-6 row 15 : runner-up \| 8 \| 19 march 2012 \| bangalore, india \| hard \| donna vekic \| 2-6, 4-6 row 16 : runner-up \| 9 \| 8 may 2012 \| brasilia, brazil \| clay \| gabriela paz \| 3-6, 3-6 row 17 : winner \| 8 \| 19 november 2012 \| barranquilla, colombia \| clay \| karolina nowak \| 7-6(7-4), 6-0 row 18 : winner \| 9 \| 21 october 2013 \| bogota, colombia \| hard \| anna katalina alzate \| 6-3, 6-3 row 19 : winner \| 10 \| 11 november 2013 \| lima, peru \| clay \| patricia ku flores \| 7-5, 6-7(4-7), row 20 : winner \| 11 \| 25 november 2013 \| bogota, colombia \| clay \| naomi totka \| 6-1, 6-1 row 21 : runner-up \| 10 \| 2 december 2013 \| barranquilla, colombia \| clay \| maria fernanda herazo \| 4-6, 2-6 ] Execute this SQL based on the above table: select count ( * ) where date = '25 november 2013'	1
[ header: club \| founded \| nickname \| location \| home ground \| entered competition \| most recent promotion row 1 : bundoora football club \| 1974 \| bulls \| bundoora \| yulong reserve \| 1981 \| 1982 row 2 : eltham football club \| 1909 \| panthers \| eltham \| central park \| 1922 \| 2003 row 3 : greensborough football club \| 1905 \| boro \| greensborough \| war memorial park \| 1922 \| 2007 row 4 : heidelberg football club \| 1876 \| tigers \| heidelberg \| warringal park \| 1923 \| 1983 row 5 : lalor football club \| 1955 \| bloods \| lalor \| lalor reserve \| 1968 \| 2011 row 6 : macleod football club \| 1946 \| kangaroos \| rosanna \| de winton park \| 1947 \| 2010 row 7 : montmorency football club \| 1924 \| magpies \| montmorency \| montmorency park, north oval \| 1924 \| None row 8 : north heidelberg football club \| 1958 \| bulldogs \| heidelberg heights \| shelley street reserve \| 1958 \| None row 9 : northcote park football club \| 1952 \| cougars \| northcote \| bill lawry oval \| 1982 \| 1995 row 10 : west preston lakeside football club \| 1998 \| roosters \| reservoir \| j e moore park \| 1996 \| 1997 ] Execute this SQL based on the above table: select location group by location order by count ( club ) desc limit 1	rosanna
[ header: year \| crystal bicycle (best professional cyclist) \| best young rider \| best manager \| crystal drop of sweat (best helper) row 1 : 1992 \| dirk de wolf \| not awarded \| not awarded \| not awarded row 2 : 1993 \| johan museeuw \| not awarded \| not awarded \| not awarded row 3 : 1994 \| paul herygers \| kristof trouve \| not awarded \| not awarded row 4 : 1995 \| johan museeuw \| leif hoste \| not awarded \| not awarded row 5 : 1996 \| johan museeuw \| glenn d'hollander \| not awarded \| not awarded row 6 : 1997 \| johan museeuw \| sven nys \| not awarded \| not awarded row 7 : 1998 \| tom steels \| sven nys \| not awarded \| not awarded row 8 : 1999 \| frank vandenbroucke \| kevin hulsmans \| not awarded \| not awarded row 9 : 2000 \| andrei tchmil \| jurgen van goolen \| patrick lefevere & jo \| not awarded row 10 : 2001 \| rik verbrugghe \| tom boonen \| jef braeckevelt \| not awarded row 11 : 2002 \| johan museeuw \| kevin de weert \| johan bruyneel \| not awarded row 12 : 2003 \| peter van petegem \| johan vansummeren \| johan bruyneel \| not awarded row 13 : 2004 \| tom boonen \| niels albert \| patrick lefevere \| not awarded row 14 : 2005 \| tom boonen \| niels albert \| jose de cauwer \| kevin hulsmans row 15 : 2006 \| tom boonen \| dominique cornu \| patrick lefevere \| gert steegmans row 16 : 2007 \| sven nys \| niels albert \| johan bruyneel \| johan vansummeren row 17 : 2008 \| philippe gilbert \| jan bakelants \| johan bruyneel \| mario aerts row 18 : 2009 \| philippe gilbert \| kris boeckmans \| johan bruyneel \| stijn vandenbergh row 19 : 2010 \| philippe gilbert \| yannick eijssen \| marc sergeant \| mario aerts row 20 : 2011 \| philippe gilbert \| tosh van der sande \| john lelangue \| jelle vanendert row 21 : 2012 \| tom boonen \| gijs van hoecke \| carlo bomans \| kevin de weert row 22 : 2013 \| sven nys \| igor decraene \| patrick lefevere \| stijn vandenbergh ] Execute this SQL based on the above table: select count ( crystal bicycle (best professional cyclist) )	22
[ header: event \| gold \| silver \| bronze \| total \| ranking row 1 : 1976 winter paralympics \| 10 \| 1 \| 1 \| 12 \| 2nd row 2 : 1984 winter paralympics \| 4 \| 2 \| 3 \| 9 \| 5th row 3 : 1988 winter paralympics \| 5 \| 16 \| 16 \| 37 \| 7th row 4 : 1992 winter paralympics \| 3 \| 8 \| 4 \| 15 \| 8th row 5 : 1994 winter paralympics \| 2 \| 9 \| 5 \| 16 \| 11th row 6 : 1998 winter paralympics \| 10 \| 5 \| 8 \| 23 \| 6th row 7 : 2002 winter paralympics \| 6 \| 4 \| 2 \| 12 \| 7th row 8 : 2006 winter paralympics \| 0 \| 1 \| 1 \| 2 \| 13th row 9 : 2010 winter paralympics \| 1 \| 2 \| 0 \| 3 \| 13th ] Execute this SQL based on the above table: select event where ranking = ( select ranking where event = '1988 winter paralympics' ) + 1	1992 winter paralympics
[ header: year \| team \| games \| punt return attempts \| punt return yards \| punts returned for touchdown \| punts fair caught \| longest punt return \| kickoff attempts \| kickoff return yards \| kickoffs returned for touchdown \| kickoffs fair caught \| longest kickoff return row 1 : 2008 \| den \| 15 \| 14 \| 140 \| 0 \| 10 \| 36 \| 23 \| 600 \| 0 \| 0 \| 95 row 2 : 2009 \| den \| 14 \| 30 \| 335 \| 1 \| 13 \| 71 \| 26 \| 621 \| 1 \| 0 \| 93 row 3 : 2010 \| den \| 16 \| 25 \| 298 \| 0 \| 12 \| 33 \| 5 \| 107 \| 0 \| 0 \| 33 row 4 : 2011 \| den \| 12 \| 12 \| 194 \| 1 \| 9 \| 85 \| 3 \| 47 \| 0 \| 0 \| 20 row 5 : 2012 \| sd \| 10 \| 12 \| 64 \| 0 \| 2 \| 14 \| 0 \| 0 \| 0 \| 0 \| 0 row 6 : 2013 \| sd \| 15 \| 7 \| 41 \| 0 \| 7 \| 12 \| 0 \| 0 \| 0 \| 0 \| 0 row 7 : total \| total \| 82 \| 100 \| 1072 \| 2 \| 53 \| 85 \| 57 \| 1375 \| 1 \| 0 \| 95 ] Execute this SQL based on the above table: select count ( year ) where team > 200	7
[ header: # \| date \| venue \| opponent \| result \| competition \| scored row 1 : 1 \| 5 march 2002 \| lagos \| sweden \| 3-6 \| algarve cup \| 1 row 2 : 2 \| 22 september 2002 \| st andrew's, \| iceland \| 1-0 \| 2003 fifa world cup qual \| 1 row 3 : 3 \| 21 october 2003 \| kryoia soveto, \| russia \| 2-2 \| friendly \| 1 row 4 : 4 \| 14 november 2003 \| deepdale, preston \| scotland \| 5-0 \| friendly \| 1 row 5 : 5 \| 16 september 2004 \| sportpark de wending, heer \| netherlands \| 2-1 \| friendly \| 1 row 6 : 6 \| 17 february 2005 \| national hockey stadium, milton keynes \| italy \| 4-1 \| friendly \| 1 row 7 : 7 \| 9 march 2005 \| faro \| portugal \| 4-0 \| algarve cup \| 1 row 8 : 8 \| 21 april 2005 \| prenton park, tranmere \| scotland \| 2-1 \| friendly \| 1 row 9 : 9 \| 5 june 2005 \| city of manchester stadium, manchester \| finland \| 3-2 \| 2005 uefa championship \| 1 row 10 : 10 \| 1 september 2005 \| ertl-glas-stadi \| austria \| 4-1 \| 2007 fifa world cup qual \| 1 ] Execute this SQL based on the above table: select count ( result ) where result = '2-2'	1
[ header: track \| title \| translation \| composer \| recorded row 1 : 1 \| "demain l'on se marie \| tomorrow we'll marry (the song of the \| jacques brel \| 1958-03-14 row 2 : 2 \| "au printemps" \| in the spring \| jacques brel \| 1958-04-01 row 3 : 3 \| "je ne sais pas" \| i don't know \| jacques brel \| 1958-04-01 row 4 : 4 \| "le colonel" \| the colonel \| jacques brel, gaby \| 1958-04-01 row 5 : 5 \| "dors ma mie, bons \| sleep my love, good night \| jacques brel, franco \| 1958-03-12 row 6 : 6 \| "la lumiere jaillira \| the light will shine \| jacques brel, franco \| 1958-04-01 row 7 : 7 \| "dites, si c'et \| say, if it were true (po \| jacques brel \| 1958-04-01 row 8 : 8 \| "l'homme dans la cite" \| the man in the city \| jacques brel, franco \| 1958-04-01 row 9 : 9 \| "litanies pour un retour" \| litanies for a return \| jacques brel, franco \| 1958-04-01 row 10 : 10 \| "voici" \| here \| jacques brel, franco \| 1958-04-01 row 11 : 11 \| "voir" \| see \| jacques brel \| 1958-10-07 row 12 : 12 \| "l'aventure" \| the adventure \| jacques brel \| 1958-10-21 row 13 : 13 \| "dites, si c'et \| say, if it were true (po \| jacques brel \| 1956-09-19 ] Execute this SQL based on the above table: select track order by track desc limit 1	13.0
[ header: number \| serial no \| entered service \| withdrawn \| kilometres travelled row 1 : 4101 \| 1000 \| 1 dec 1953 \| 6 jun 1973 \| 463,514 row 2 : 4102 \| 1002 \| 30 oct 1953 \| 30 jun 1975 \| 492,650 row 3 : 4103 \| 1003 \| 18 jan 1954 \| 2 apr 1974 \| 462,871 row 4 : 4104 \| 1004 \| 13 jan 1954 \| 12 oct 1973 \| 440,810 row 5 : 4105 \| 1005 \| 8 feb 1954 \| None \| None row 6 : 4106 \| 1006 \| 21 jan 1954 \| 4 aug 1972 \| 406,288 row 7 : 4107 \| 1007 \| 25 jan 1954 \| 11 aug 1973 \| 446,167 row 8 : 4108 \| 1008 \| 22 feb 1954 \| 20 dec 1967 \| 402,026 row 9 : 4109 \| 1009 \| 11 mar 1954 \| 9 feb 1972 \| 426,074 row 10 : 4110 \| 1010 \| 10 feb 1955 \| 20 may 1974 \| 476,489 ] Execute this SQL based on the above table: select count ( entered service ) where number < ( select number where entered service = '8 feb 1954' )	4
[ header: name \| rank \| age \| years until mandatory retirement \| appointed by \| year appointed row 1 : anabelle rodriguez \| associate justice \| 64 \| 6 years \| sila maria calderon \| 2004 row 2 : edgardo rivera garcia \| associate justice \| 59 \| 11 years \| luis fortuno \| 2010 row 3 : erick kolthoff caraball \| associate justice \| 53 \| 17 years \| luis fortuno \| 2009 row 4 : federico hernandez denton \| chief justice \| 70 \| 0 year \| sila maria calderon \| 2004 row 5 : liana fiol matta \| associate justice \| 68 \| 2 years \| sila maria calderon \| 2004 row 6 : luis estrella martinez \| associate justice \| 43 \| 27 years \| luis fortuno \| 2011 row 7 : mildred pabon charneco \| associate justice \| 57 \| 13 years \| luis fortuno \| 2009 row 8 : rafael martinez \| associate justice \| 55 \| 15 years \| luis fortuno \| 2009 row 9 : roberto feliberti c \| associate justice \| 51 \| 19 years \| luis fortuno \| 2011 ] Execute this SQL based on the above table: select appointed by where rank = 'associate justice'	sila maria calderon, luis fortuno, luis fortuno, sila maria calderon, luis fortuno, luis fortuno, luis fortuno, luis fortuno
[ header: # \| title \| songwriters \| producer(s) \| performer (s) row 1 : 1 \| "creative control" \| o. credle, l. bas \| organized konfusion \| o.c row 2 : 2 \| "word...life" \| o. credle, a. best \| buckwild \| o.c row 3 : 3 \| "o-zone" \| o. credle, a. best \| buckwild \| o.c row 4 : 4 \| "born 2 live" \| o. credle, a. best \| buckwild \| o.c row 5 : 5 \| "time's up" \| o. credle, a. best \| buckwild \| o.c row 6 : 6 \| "point o' viewz" \| o. credle, d. van \| buckwild, prestige \| o.c row 7 : 7 \| "constables" \| o. credle, l. bas \| organized konfusion \| o.c row 8 : 8 \| "ga head" \| o. credle, r. hall \| lord finesse \| o.c row 9 : 9 \| "no main topic" \| o. credle, g. \| dj ogee/o. \| o.c., prince po row 10 : 10 \| "let it slide" \| o. credle, a. best \| buckwild \| o.c., pharo row 11 : 11 \| "ma dukes" \| o. credle, a. best \| buckwild \| o.c row 12 : 12 \| "story" \| o. credle, g. \| dj ogee/o. \| o.c row 13 : 13 \| "outtro (sabotage) \| o. credle, a. best \| buckwild \| o.c row 14 : 14 \| "born 2 live (remix)" \| o. credle, a. best \| organized konfusion \| o.c ] Execute this SQL based on the above table: select producer(s) order by producer(s) limit 1	buckwild
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 2 \| 17 february 2002 \| healy park, omagh \| tyrone \| \| 2-10 : 0-18 \| national football league round 2 row 2 : 3 \| 3 march 2002 \| parnell park, dublin \| westmeath \| \| 3-13 : 1-16 \| national football league round 4 row 3 : 5 \| 31 march 2002 \| tuam stadium, galway \| galway \| \| 1-12 : 1-12 \| national football league round 7 row 4 : 6 \| 2 february 2003 \| parnell park, dublin \| armagh \| \| 0-7 : 1-15 \| national football league round 1 row 5 : 12 \| 8 february 2004 \| mchale park, castlebar \| mayo \| \| 0-3 : 1-10 \| national football league round 2 row 6 : 15 \| 21 march 2004 \| parnell park, dublin \| cork \| \| 0-9 : 0-9 \| national football league round 6 row 7 : 16 \| 5 february 2005 \| parnell park, dublin \| mayo \| \| 2-13 : 1-15 \| national football league round 1 row 8 : 21 \| 26 march 2005 \| pairc ui rinn, \| cork \| \| 1-6 : 0-18 \| national football league round 6 row 9 : 22 \| 3 april 2005 \| o'connor park, tul \| offaly \| \| 1-13 : 2-6 \| national football league round 7 row 10 : 27 \| 25 march 2006 \| parnell park, dublin \| mayo \| \| 4-10 : 1-10 \| national football league round 6 row 11 : 28 \| 9 april 2006 \| fitzgerald stadium, kerry \| kerry \| \| 0-13 : 0-13 \| national football league round 7 row 12 : 30 \| 10 february 2007 \| gaelic grounds, limerick \| limerick \| \| 0-14 : 1-10 \| national football league round 2 row 13 : 31 \| 25 february 2007 \| ballyshannon, donegal \| donegal \| \| 0-5 : 0-9 \| national football league round 3 row 14 : 32 \| 10 march 2007 \| parnell park, dublin \| cork \| \| 1-13 : 0-7 \| national football league round 4 row 15 : 41 \| 26 april 2008 \| pairc tailteann, meath \| westmeath \| \| 0-10 : 0-15 \| national football league division 2 final row 16 : 42 \| 31 january 2009 \| croke park, dublin \| tyrone \| \| 1-16 : 1-18 \| national football league round 1 row 17 : 43 \| 15 february 2009 \| pearse stadium, salthill \| galway \| \| 0-13 : 3-12 \| national football league round 2 row 18 : 48 \| 7 february 2010 \| fitzgerald stadium, killarney \| kerry \| \| 1-12 : 1-10 \| national football league round 1 row 19 : 50 \| 13 march 2010 \| parnell park, dublin \| monaghan \| \| 2-11 : 1-9 \| national football league round 4 ] Execute this SQL based on the above table: select count ( * ) where venue = 'ballyshannon, donegal'	1
[ header: rank \| name \| notability \| birthplace \| advocate row 1 : 10 \| wayne gretzky \| hockey player, holder of numerous nh \| brantford, ontario \| deborah grey row 2 : 9 \| alexander graham bell \| scientist, inventor, founder of the bell telephone company \| edinburgh, scotl \| evan solomon row 3 : 8 \| sir john a. macdonal \| first prime minister of canada \| glasgow, scotland \| charlotte gray row 4 : 7 \| don cherry \| hockey coach and commentator \| kingston, ontario \| bret hart row 5 : 6 \| lester b. pearson \| fourteenth prime minister of canada, united nations general \| toronto, ontario \| paul gross row 6 : 5 \| david suzuki \| environmentalist \| vancouver, british columb \| melissa auf der maur row 7 : 4 \| sir frederick banting \| medical scientist, co-discoverer of insulin \| alliston, ontario \| mary walsh row 8 : 3 \| pierre trudeau \| fifteenth prime minister of canada \| montreal, quebec \| rex murphy row 9 : 2 \| terry fox \| athlete, activist, humanitarian \| winnipeg, manitob \| sook-yin lee row 10 : 1 \| tommy douglas \| father of medicare, premier of sa \| falkirk, scotland \| george stroumboulopoulos ] Execute this SQL based on the above table: select rank where birthplace = 'montreal, quebec'	3.0
[ header: year \| competition \| venue \| position \| notes row 1 : 1994 \| commonwealth games \| victoria, canada \| 6th \| 400 m h row 2 : 1995 \| world championships \| gothenburg, sweden \| 6th \| 400 m h row 3 : 1997 \| world championships \| athens, greece \| 7th \| 4x400 m relay row 4 : 1998 \| commonwealth games \| kuala lumpur, malaysi \| 3rd \| 400 m h row 5 : 1998 \| african championships \| dakar, senegal \| 2nd \| 400 m h row 6 : 1999 \| all-africa games \| johannesburg, south africa \| 2nd \| 400 m h ] Execute this SQL based on the above table: select position order by notes asc limit 1	6th
[ 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 gender order by age desc limit 1	female
[ header: \| dingli \| marsa \| mellieha \| mosta \| qormi \| senglea \| st.georges \| st.patrick \| tarxien \| vittoriosa row 1 : dingli \| None \| 6-2 \| 2-2 \| 0-2 \| 2-0 \| 0-1 \| 2-2 \| 2-0 \| 1-3 \| 0-0 row 2 : marsa \| 0-3 \| None \| 0-1 \| 2-4 \| 3-4 \| 0-5 \| 1-3 \| 1-0 \| 2-3 \| 1-4 row 3 : mellieha \| 0-2 \| 1-3 \| None \| 1-2 \| 4-3 \| 1-3 \| 0-1 \| 2-2 \| 2-2 \| 3-6 row 4 : mosta \| 4-0 \| 0-3 \| 3-0 \| None \| 2-2 \| 3-1 \| 2-0 \| 2-0 \| 0-1 \| 2-1 row 5 : qormi \| 4-2 \| 1-1 \| 3-0 \| 3-3 \| None \| 1-0 \| 1-0 \| 1-0 \| 4-1 \| 0-1 row 6 : senglea \| 0-4 \| 5-2 \| 4-0 \| 2-1 \| 1-3 \| None \| 2-0 \| 0-4 \| 0-1 \| 1-0 row 7 : st. george's \| 4-2 \| 6-0 \| 1-2 \| 2-2 \| 0-0 \| 0-4 \| None \| 2-1 \| 2-0 \| 3-7 row 8 : st. patrick \| 0-2 \| 1-1 \| 3-1 \| 0-1 \| 1-3 \| 1-1 \| 4-1 \| None \| 1-1 \| 1-3 row 9 : tarxien \| 2-1 \| 4-0 \| 3-0 \| 0-0 \| 0-2 \| 1-0 \| 1-0 \| 3-0 \| None \| 3-2 row 10 : vittoriosa \| 1-3 \| 2-1 \| 2-1 \| 0-1 \| 1-2 \| 1-2 \| 2-0 \| 0-2 \| 0-3 \| None ] Execute this SQL based on the above table: select senglea where senglea in ( '0-1' , '1-2' ) group by senglea order by count ( * ) desc limit 1	1-2
[ header: place \| nation \| 5 hoops \| 3 balls, 2 ribbons \| total row 1 : 1 \| bulgaria \| 19.800 (1) \| 19.800 (1) \| 39.600 row 2 : 2 \| spain \| 19.700 (3) \| 19.700 (2) \| 39.400 row 3 : 3 \| belarus \| 19.733 (2) \| 19.600 (3) \| 39.333 row 4 : 4 \| russia \| 19.600 (4) \| 19.566 (4) \| 39.166 row 5 : 5 \| ukraine \| 19.366 (5) \| 15.500 (5) \| 38.866 row 6 : 6 \| japan \| 19.166 (6) \| 19.333 (7) \| 38.499 row 7 : 7 \| italy \| 19.066 (7) \| 19.400 (6) \| 38.466 row 8 : 8 \| hungary \| 18.766 (8) \| 19.166 (8) \| 37.932 ] Execute this SQL based on the above table: select count ( * ) where nation = 'russia'	1
[ header: player \| country \| year(s) won \| r1 \| r2 \| total \| to par row 1 : don january \| united states \| 1967 \| 76 \| 74 \| 150 \| 6 row 2 : jack burke, jr \| united states \| 1956 \| 75 \| 75 \| 150 \| 6 row 3 : raymond floyd \| united states \| 1969 \| 77 \| 74 \| 151 \| 7 row 4 : jay hebert \| united states \| 1960 \| 74 \| 79 \| 153 \| 9 row 5 : dow finsterwald \| united states \| 1958 \| 79 \| 74 \| 153 \| 9 row 6 : doug ford \| united states \| 1955 \| 77 \| 80 \| 154 \| 14 row 7 : jerry barber \| united states \| 1961 \| 78 \| 80 \| 158 \| 14 row 8 : gene sarazen \| united states \| 1922, 1923, 1933 \| 81 \| 79 \| 160 \| 16 row 9 : walter burkemo \| united states \| 1953 \| 83 \| 79 \| 162 \| 18 row 10 : denny shute \| united states \| 1936, 1937 \| 81 \| 87 \| 168 \| 24 ] Execute this SQL based on the above table: select year(s) won where year(s) won = '1936, 1937'	1936, 1937
[ 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 order by pos. desc limit 2	martin vrablik, cameron barnes
[ header: place \| player \| country \| score \| to par row 1 : t1 \| ed sneed \| united states \| 68-67=135 \| -9 row 2 : t1 \| craig stadler \| united states \| 69-66=135 \| -9 row 3 : t3 \| raymond floyd \| united states \| 70-68=138 \| -6 row 4 : t3 \| leonard thompson \| united states \| 68-70=138 \| -6 row 5 : t5 \| miller barber \| united states \| 75-64=139 \| -5 row 6 : t5 \| tom watson \| united states \| 68-71=139 \| -5 row 7 : t5 \| joe inman \| united states \| 68-71=139 \| -5 row 8 : t8 \| seve ballesteros \| spain \| 72-68=140 \| -4 row 9 : t8 \| jack nicklaus \| united states \| 69-71=140 \| -4 row 10 : t8 \| lou graham \| united states \| 69-71=140 \| -4 ] Execute this SQL based on the above table: select count ( * ) where player = 'leonard thompson'	1
[ header: game \| date \| team \| score \| high points \| high rebounds \| high assists \| location attendance \| record row 1 : 1 \| october 5 \| @ portland \| l 86-115 \| chris kaman (14) \| chris kaman, blake \| randy foye (5) \| rose garden 18,209 \| 0-1 row 2 : 2 \| october 7 \| @ sacramento \| w 120-88 \| chris kaman (20) \| blake griffin (13) \| randy foye (8) \| arco arena 10,284 \| 1-1 row 3 : 3 \| october 8 \| @ golden state \| l 87-127 \| blake griffin (23) \| blake griffin (9) \| randy foye (6) \| oracle arena 10,004 \| 1-2 row 4 : 4 \| october 12 \| san antonio \| l 99-100 \| eric gordon (23) \| blake griffin (17) \| baron davis (7) \| palacio de los deportes 18, \| 1-3 row 5 : 5 \| october 14 \| denver \| l 95-100 \| blake griffin (24) \| blake griffin (14) \| baron davis (6) \| staples center 10,572 \| 1-4 row 6 : 6 \| october 16 \| utah \| l 91-103 \| eric gordon (23) \| blake griffin (14) \| baron davis (8) \| staples center 18,997 \| 1-5 row 7 : 7 \| october 17 \| denver \| l 104-108 \| brian cook (28) \| al-farouq aminu (8) \| baron davis, eric ble \| staples center \| 1-6 row 8 : 8 \| october 19 \| sacramento \| l 94-96 \| chris kaman (21) \| chris kaman (10) \| baron davis (8) \| staples center 10,838 \| 1-7 ] Execute this SQL based on the above table: select score group by score order by count ( * ) desc limit 1	w 120-88
[ header: location \| name of mill and grid reference \| type \| maps \| first mention or built \| last mention or demise row 1 : chesfield \| None \| post \| None \| 1318 \| 1372 row 2 : chesfield \| chesfield park \| titt iron wind engine \| None \| 1896 \| None row 3 : cheshunt \| tl 317 036 \| post \| None \| 1843 \| demolished c. 1860 row 4 : cheshunt \| goff's oak mill tl \| tower \| None \| c. 1860 \| demolished 1953 row 5 : cheshunt \| turner's hill mill tl 3 \| None \| 1822 \| 1822 \| 1861 row 6 : chipperfield \| tl 037 014 \| post \| None \| 1594 \| 1594 row 7 : chipperfield \| tl 037 014 \| smock \| 1822 \| 1822 \| 1881, gone by 1896 row 8 : chipping \| approximately tl 350 319 \| post \| 1720 1728 \| 1720 \| 1728 row 9 : clothall \| approximately tl 264 326 \| post \| None \| 1370 \| 1370 row 10 : codicote \| codicote heath approximately tl \| smock \| None \| 1841 \| 1855, gone by 1881 row 11 : colney heath \| colney heath mill tl 205 \| tower \| None \| 1854 \| windmill world row 12 : cottered \| None \| post \| None \| 1581 \| 1581 row 13 : cromer \| None \| None \| None \| 1192 \| 1576 row 14 : cromer \| cromer mill tl 304 2 \| post \| 1720 1728 1749 1766 1800 18 \| 1720 \| windmill world row 15 : croxley green \| croxley green mill tq 06 \| tower \| None \| c. 1860 \| windmill world ] Execute this SQL based on the above table: select sum ( last mention or demise )	18631
[ header: no. \| name \| term of office \| president(s) served under row 1 : 1 \| william bennett \| 1989 - 1991 \| george h. w. bush row 2 : 2 \| bob martinez \| march 28, 1991 - january 20, \| george h. w. bush row 3 : 3 \| lee p. brown \| january 1993 - december \| bill clinton row 4 : 4 \| barry mccaffrey \| february 29, 1996 - janu \| bill clinton row 5 : 5 \| john p. walters \| december 7, 2001 - janu \| george w. bush row 6 : 6 \| gil kerlikowske \| may 7, 2009 - march 6, 2014 \| barack obama row 7 : acting \| michael botticelli \| march 6, 2014 - \| barack obama ] Execute this SQL based on the above table: select max ( no. )	6.0
[ header: number \| driver \| entrant \| chassis \| engine \| tyre row 1 : 1 \| jimmy bryan \| dean van lines \| kuzma \| offenhauser \| f row 2 : 2 \| john lawrence \| ecurie ecosse \| jaguar d-type \| jaguar \| d row 3 : 4 \| jack fairman \| ecurie ecosse \| jaguar d-type \| jaguar \| d row 4 : 6 \| ninian sanderson \| ecurie ecosse \| jaguar d-type \| jaguar \| d row 5 : 7 \| bob veith \| bob estes \| phillips \| offenhauser \| f row 6 : 8 \| jean behra \| maserati \| maserati 250f \| maserati \| f row 7 : 8 \| jean behra \| maserati \| maserati 450s1 \| maserati \| f row 8 : 12 \| pat o'connor \| sumar \| kurtis kraft 500g \| offenhauser \| f row 9 : 16 \| mario bornigia \| scuderia cottione \| ferrari \| ferrari \| None row 10 : 27 \| tony bettenhausen \| novi auto air conditioning \| kurtis kraft 500f \| novi (s/c) \| f row 11 : 35 \| eddie sachs \| jim robbins \| kurtis kraft 500g \| offenhauser \| f row 12 : 49 \| ray crawford \| meguiar mirror glaze \| kurtis kraft 500g \| offenhauser \| f row 13 : 52 \| troy ruttman \| john zink \| watson \| offenhauser \| f row 14 : 52 \| jim rathmann2 \| john zink \| watson \| offenhauser \| f row 15 : 54 \| paul russo \| novi auto air conditioning \| kurtis kraft 500f \| novi (s/c) \| f row 16 : 73 \| andy linden \| mcnamara veedo \| kurtis kraft 500g \| offenhauser \| f row 17 : 98 \| johnnie parsons \| agajanian \| kuzma \| offenhauser \| f ] Execute this SQL based on the above table: select entrant where number > 85	agajanian
[ header: year \| winner \| second \| third \| starters row 1 : 2013 \| new year's day \| havana \| strong mandate \| 13 row 2 : 2012 \| shanghai bobby \| he's had enough \| capo bastone \| 9 row 3 : 2011 \| hansen \| union rags \| creative cause \| 13 row 4 : 2010 \| uncle mo \| boys at toscanova \| rogue romance \| 11 row 5 : 2009 \| vale of york \| lookin at lucky \| noble's promise \| 13 row 6 : 2008 \| midshipman \| square eddie \| street hero \| 12 row 7 : 2007 \| war pass \| pyro \| kodiak kowboy \| 11 row 8 : 2006 \| street sense \| circular quay \| great hunter \| 14 row 9 : 2005 \| stevie wonderboy \| henny hughes \| first samurai \| 14 row 10 : 2004 \| wilko \| afleet alex \| sun king \| 8 row 11 : 2003 \| action this day \| minister eric \| chapel royal \| 12 row 12 : 2002 \| vindication \| kafwain \| hold that tiger \| 13 row 13 : 2001 \| johannesburg \| repent \| siphonic \| 12 row 14 : 2000 \| macho uno \| point given \| street cry \| 14 row 15 : 1999 \| anees \| chief seattle \| high yield \| 14 row 16 : 1998 \| answer lively \| aly's alley \| cat thief \| 13 row 17 : 1997 \| favorite trick \| dawson's legacy \| nationalore \| 8 row 18 : 1996 \| boston harbor \| acceptable \| ordway \| 10 row 19 : 1995 \| unbridled's song \| hennessy \| editor's note \| 13 row 20 : 1994 \| timber country \| eltish \| tejano run \| 13 row 21 : 1993 \| brocco \| blumin affair \| tabasco cat \| 11 row 22 : 1992 \| gilded time \| it'sali'lknownfact \| river special \| 13 row 23 : 1991 \| arazi \| bertrando \| snappy landing \| 14 row 24 : 1990 \| fly so free \| take me out \| lost mountain \| 11 row 25 : 1989 \| rhythm \| grand canyon \| slavic \| 12 row 26 : 1988 \| is it true \| easy goer \| tagel \| 10 row 27 : 1987 \| success express \| regal classic \| tejano \| 13 row 28 : 1986 \| capote \| qualify \| alysheba \| 13 row 29 : 1985 \| tasso \| storm cat \| scat dancer \| 13 row 30 : 1984 \| chief's crown \| tank's prospect \| spend a buck \| 10 ] Execute this SQL based on the above table: select winner where starters = 10 and winner = 'boston harbor'	boston harbor
[ header: date \| pos. \| name \| from \| fee row 1 : 27 june 2007 \| df \| aaron hughes \| aston villa \| £1,000,000 row 2 : 5 july 2007 \| mf \| steven davis \| aston villa \| £4,000,000 row 3 : 9 july 2007 \| fw \| diomansy kamara \| west bromwich albion \| £6,000,000 row 4 : 12 july 2007 \| df \| chris baird \| southampton \| £3,035,000 row 5 : 13 july 2007 \| fw \| david healy \| leeds united \| £1,500,000 row 6 : 13 july 2007 \| df \| paul konchesky \| west ham \| £3,250,000 row 7 : 19 july 2007 \| mf \| lee cook \| qpr \| £2,500,000 row 8 : 4 august 2007 \| mf \| adrian leijer \| melbourne victory \| undisclosed row 9 : 8 august 2007 \| df \| hameur bouazza \| watford \| £3,000,000 row 10 : 23 august 2007 \| gk \| kasey keller \| borussia monchengladbach \| free row 11 : 30 august 2007 \| df \| nathan ashton \| unattached \| free row 12 : 31 august 2007 \| fw \| shefki kuqi \| crystal palace \| loan row 13 : 31 august 2007 \| mf \| danny murphy \| tottenham hotspur \| loan row 14 : 31 august 2007 \| mf \| seol ki-hyeon \| reading \| undisclosed row 15 : 31 august 2007 \| df \| dejan stefanovic \| portsmouth \| £1,000,000 ] Execute this SQL based on the above table: select count ( * ) where fee > 889	9
[ 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 ( name )	25
[ header: year \| player \| high school \| college \| nba/aba draft row 1 : 1941 \| john bass \| greenwood \| None \| None row 2 : 1943, 1944 \| no games (world war ii) \| None \| None \| None row 3 : 1948 \| bob masters \| lafayette jefferson \| indiana \| None row 4 : 1949 \| dee monroe \| madison \| kentucky \| None row 5 : 1951 \| tom harold \| muncie central \| colorado \| None row 6 : 1954 \| bobby plump \| milan \| butler \| None row 7 : 1956 \| oscar robertson \| crispus attucks \| cincinnati \| 1960 nba draft: 1st row 8 : 1957 \| john coalman \| south bend central \| fordham \| None row 9 : 1961 (tie) \| dick van arsdale \| indianapolis manual \| indiana \| 1965 nba draft: 2nd row 10 : 1962 \| larry humes \| madison \| evansville \| None row 11 : 1965 \| billy keller \| indianapolis washington \| purdue \| 1969 nba draft: 7th row 12 : 1967 \| willie long \| ft. wayne south side \| new mexico \| 1971 nba draft: 2nd row 13 : 1969 \| george mcginnis \| indianapolis washington \| indiana (1969-1971) \| 1971 aba draft: indiana pacer row 14 : 1971 \| mike flynn \| jeffersonville \| kentucky \| 1975 nba draft: 7th row 15 : 1972 \| phil cox \| connersville \| butler (1972-74) / gard \| None row 16 : 1974 (tie) \| roy taylor \| anderson \| youngstown state \| None row 17 : 1975 \| kyle macy \| peru \| purdue (1975-1976) / \| 1979 nba draft: 1st row 18 : 1979 \| steve bouchie \| washington \| indiana \| None row 19 : 1980 \| jim master \| ft. wayne harding \| kentucky \| 1984 nba draft: 6th row 20 : 1981 \| dan palombizio \| michigan city rogers \| purdue (1981-1983) / \| None row 21 : 1982 \| roger harden \| valparaiso \| kentucky \| None row 22 : 1983 \| steve alford \| new castle \| indiana \| 1987 nba draft: 2nd row 23 : 1984 (tie) \| troy lewis \| anderson \| purdue \| None row 24 : 1984 (tie) \| delray brooks \| michigan city rogers \| indiana (1984-1985) / \| None row 25 : 1985 \| jeff grose \| warsaw \| northwestern \| None row 26 : 1986 \| mark jewell \| lafayette jefferson \| evansville \| None row 27 : 1989 \| pat graham \| floyd central \| indiana \| None row 28 : 1994 \| bryce drew \| valparaiso \| valparaiso \| 1998 nba draft: 1st ] Execute this SQL based on the above table: select player group by player order by count ( * ) desc limit 1	willie long
[ 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 headquarters where rank < ( select rank where headquarters = 'toronto, on' ) order by rank desc limit 1	columbus, ga
[ header: ship name \| in service \| project number \| type \| class \| comments row 1 : lenin \| 1959 \| 92m \| icebreaker \| None \| decommissioned 1989. museum ship row 2 : arktika \| 1975 \| 1052-1 \| icebreaker \| arktika \| not operational row 3 : sibir \| 1977 \| 1052-2 \| icebreaker \| arktika \| defueled and not operational since 1993 row 4 : rossiya \| 1985 \| 10521-1 \| icebreaker \| arktika \| None row 5 : sevmorput \| 1988 \| 10081 \| container ship \| None \| has ice-breaking bow row 6 : taymyr \| 1989 \| 10580-1 \| river icebreaker \| taymyr \| None row 7 : sovetskiy soyuz \| 1990 \| 10521-2 \| icebreaker \| arktika \| None row 8 : vaygach \| 1990 \| 10580-2 \| river icebreaker \| taymyr \| None row 9 : yamal \| 1993 \| 10521-3 \| icebreaker \| arktika \| None row 10 : 50 let pobedy \| 2007 \| 10521 \| icebreaker \| arktika \| built as ural, completed in 2007 ] Execute this SQL based on the above table: select project number group by project number order by count ( * ) desc limit 1	92m
[ header: edition \| year \| men's winner \| time (h:m:s) \| women's winner \| time (h:m:s) row 1 : 34th \| 2013 \| sean hehir (irl) \| 2:18:19 \| maria mccambridge (ir \| 2:38:51 row 2 : 33rd \| 2012 \| geoffrey ndungu (ken) \| 2:11:09 \| magdalene mukunza ( \| 2:30:46 row 3 : 29th \| 2008 \| andriy naumov (uk \| 2:11:06 \| larisa zyuzko \| 2:29:55 row 4 : 26th \| 2005 \| dmytro osa \| 2:13:14 \| zinaida semenova (rus) \| 2:32:53 row 5 : 25th \| 2004 \| lezan kipkosgei ki \| 2:13:07 \| yelena burykina ( \| 2:32:53 row 6 : 24th \| 2003 \| onesmus musyoka kil \| 2:17:03 \| ruth kutol (ken) \| 2:27:22 row 7 : 23rd \| 2002 \| frederick cherono (ken \| 2:14:25 \| lidiya vasilevskay \| 2:32:58 row 8 : 17th \| 1996 \| joseph kahugu ( \| 2:17:42 \| cathy shum (irl \| 2:38:56 row 9 : 16th \| 1995 \| william musyoki (ken \| 2:16:57 \| trudi thomson (g \| 2:38:23 row 10 : 15th \| 1994 \| steve brace (gbr) \| 2:17:13 \| linda rushmere (gbr \| 2:40:17 row 11 : 14th \| 1993 \| john treacy (irl) \| 2:14:40 \| cathy shum (irl \| 2:38:14 row 12 : 13th \| 1992 \| jerry kiernan (i \| 2:17:19 \| karen cornwall (gbr) \| 2:41:58 row 13 : 12th \| 1991 \| tommy hughes (gbr \| 2:14:46 \| christine kennedy (i \| 2:35:56 row 14 : 11th \| 1990 \| john bolger (irl) \| 2:17:17 \| christine kennedy (i \| 2:41:27 row 15 : 10th \| 1989 \| john griffin (irl) \| 2:16:44 \| pauline nolan (irl) \| 2:44:32 row 16 : 9th \| 1988 \| john griffin (irl) \| 2:16:02 \| moira o'neill ( \| 2:37:06 row 17 : 8th \| 1987 \| pavel klimes (tch) \| 2:14:21 \| carolyn naisby ( \| 2:42:08 row 18 : 6th \| 1985 \| dick hooper (irl \| 2:13:48 \| julia gates (gbr \| 2:41:26 row 19 : 5th \| 1984 \| svend-erik kristen \| 2:18:25 \| ailish smyth (i \| 2:47:30 row 20 : 4th \| 1983 \| ronny agten (bel) \| 2:14:19 \| mary purcell (irl) \| 2:46:09 row 21 : 2nd \| 1981 \| neil cusack (irl \| 2:13:58 \| emily dowling (ir \| 2:48:22 ] Execute this SQL based on the above table: select time (h:m:s) where men's winner = 'dick hooper (irl)'	2:41:26
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 2001 \| world youth championships \| debrecen, hungary \| 2nd \| 400 m \| 47.12 row 2 : 2001 \| world youth championships \| debrecen, hungary \| 1st \| medley relay \| 1:50.46 row 3 : 2001 \| european junior championships \| grosseto, italy \| 1st \| 4x400 m relay \| 3:06.12 row 4 : 2003 \| european junior championships \| tampere, finland \| 3rd \| 400 m \| 46.69 row 5 : 2003 \| european junior championships \| tampere, finland \| 2nd \| 4x400 m relay \| 3:08.62 row 6 : 2005 \| european u23 championships \| erfurt, germany \| 11th (sf) \| 400 m \| 46.62 row 7 : 2005 \| european u23 championships \| erfurt, germany \| 1st \| 4x400 m relay \| 3:04.41 row 8 : 2005 \| universiade \| izmir, turkey \| 7th \| 400 m \| 46.89 row 9 : 2005 \| universiade \| izmir, turkey \| 1st \| 4x400 m relay \| 3:02.57 row 10 : 2006 \| world indoor championships \| moscow, russia \| 2nd (h) \| 4x400 m relay \| 3:06.10 row 11 : 2006 \| european championships \| gothenburg, sweden \| 3rd \| 4x400 m relay \| 3:01.73 row 12 : 2007 \| european indoor championships \| birmingham, united kingdom \| 3rd \| 4x400 m relay \| 3:08.14 row 13 : 2007 \| universiade \| bangkok, thailand \| 7th \| 400 m \| 46.85 row 14 : 2007 \| universiade \| bangkok, thailand \| 1st \| 4x400 m relay \| 3:02.05 row 15 : 2008 \| world indoor championships \| valencia, spain \| 4th \| 4x400 m relay \| 3:08.76 row 16 : 2008 \| olympic games \| beijing, china \| 7th \| 4x400 m relay \| 3:00.32 row 17 : 2009 \| universiade \| belgrade, serbia \| 2nd \| 4x400 m relay \| 3:05.69 ] Execute this SQL based on the above table: select venue where venue = 'bangkok, thailand'	bangkok, thailand, bangkok, thailand
[ header: # \| wrestlers \| reign \| date \| days held \| location \| event \| notes row 1 : 1 \| los perros del mal (bestia \| 1 \| november 28, 2010 \| 311 \| cuautitlan izcalli \| iwl house show \| los perros del mal defeated los traumas row 2 : None \| vacated \| None \| october 5, 2011 \| None \| tlalnepantla, \| announced on iwl official's facebook \| after bestia 666 and x- row 3 : 2 \| scorpio, jr. \| 1 \| october 22, 2011 \| 580 \| tlalnepantla, \| iwl oktoberfest \| scorpio, jr. row 4 : None \| vacated \| None \| may 2011 \| None \| None \| announced on iwl official's facebook \| None row 5 : 3 \| ultimo gladiador and ul \| 1 \| june 16, 2013 \| 145 \| huehuetoca, state of me \| iwl oktoberfest \| defeated los piratas (hijo de row 6 : None \| vacated \| None \| november 5, 2011 \| None \| None \| the iwl explained that ultim \| None row 7 : 4 \| dinamic black & freser \| 1 \| november 5, 2013 \| 231 \| hidalgo, state of mexico \| live event \| defeated mascara jr. & ul ] Execute this SQL based on the above table: select date group by date order by count ( notes ) desc limit 1	october 5, 2011
[ header: year \| division \| league \| regular season \| playoffs \| open cup \| avg. attendance row 1 : 2001 \| 2 \| usl a-league \| 4th, western \| quarterfinals \| did not qualify \| 7169 row 2 : 2002 \| 2 \| usl a-league \| 2nd, pacific \| 1st round \| did not qualify \| 6260 row 3 : 2003 \| 2 \| usl a-league \| 3rd, pacific \| did not qualify \| did not qualify \| 5871 row 4 : 2004 \| 2 \| usl a-league \| 1st, western \| quarterfinals \| 4th round \| 5628 row 5 : 2005 \| 2 \| usl first division \| 5th \| quarterfinals \| 4th round \| 6028 row 6 : 2006 \| 2 \| usl first division \| 11th \| did not qualify \| 3rd round \| 5575 row 7 : 2007 \| 2 \| usl first division \| 2nd \| semifinals \| 2nd round \| 6851 row 8 : 2008 \| 2 \| usl first division \| 11th \| did not qualify \| 1st round \| 8567 row 9 : 2009 \| 2 \| usl first division \| 1st \| semifinals \| 3rd round \| 9734 row 10 : 2010 \| 2 \| ussf d-2 pro league \| 3rd, usl (3rd) \| quarterfinals \| 3rd round \| 10727 ] Execute this SQL based on the above table: select regular season order by open cup limit 1	11th
[ header: name \| parentage \| size \| flower colour \| flower type row 1 : cornish snow \| cuspidata × saluenens \| 04.0m2 \| white \| single row 2 : cornish spring \| cuspidata × saluenens \| 04.0m2 \| pink \| single row 3 : francie l \| reticulata × saluen \| 64.0m2 \| rose-pink \| double row 4 : freedom bell \| × williamsii \| 06.5m2 \| red \| semi-double row 5 : inspiration \| reticulata × saluen \| 10.0m2 \| rose-pink \| semi-double row 6 : leonard messel \| reticulata × saluen \| 16.0m2 \| rose-pink \| semi-double row 7 : royalty \| japonica × reticulata \| 01.0m2 \| light red \| semi-double row 8 : spring festival \| × williamsii, cu \| 10.0m2 \| pink \| semi-double row 9 : tom knudsen \| japonica × reticulata \| 06.3m2 \| deep red \| double paeony row 10 : tristrem carlyon \| reticulata \| 10.0m2 \| rose-pink \| double paeony ] Execute this SQL based on the above table: select flower type where id = ( select id where flower type = 'double paeony' ) + 1	double paeony
[ header: club \| played \| won \| drawn \| lost \| points for \| points against \| bonus points \| points row 1 : biarritz olympique \| 26 \| 19 \| None \| 7 \| 694 \| 350 \| 14 \| 90 row 2 : stade francais \| 26 \| 19 \| None \| 7 \| 633 \| 437 \| 13 \| 89 row 3 : stade toulousain \| 26 \| 19 \| None \| 7 \| 713 \| 427 \| 12 \| 88 row 4 : usa perpignan \| 26 \| 18 \| None \| 8 \| 671 \| 398 \| 12 \| 84 row 5 : su agen \| 26 \| 15 \| None \| 11 \| 655 \| 540 \| 10 \| 70 row 6 : cs bourgoin-jal \| 26 \| 14 \| None \| 12 \| 591 \| 516 \| 11 \| 67 row 7 : castres olympique \| 26 \| 13 \| None \| 13 \| 685 \| 559 \| 14 \| 66 row 8 : asm clermont \| 26 \| 14 \| None \| 12 \| 577 \| 569 \| 7 \| 63 row 9 : ca brive \| 26 \| 10 \| 1 \| 15 \| 431 \| 553 \| 9 \| 51 row 10 : rc narbonne \| 26 \| 11 \| None \| 15 \| 533 \| 775 \| 3 \| 47 row 11 : montpellier rc \| 26 \| 9 \| 0 \| 17 \| 574 \| 659 \| 10 \| 46 row 12 : aviron bayonnais \| 26 \| 8 \| 1 \| 17 \| 514 \| 669 \| 9 \| 43 row 13 : section paloise \| 26 \| 9 \| 0 \| 17 \| 476 \| 790 \| 4 \| 40 row 14 : rc toulonnais \| 26 \| 3 \| 0 \| 23 \| 332 \| 837 \| 7 \| 19 ] Execute this SQL based on the above table: select count ( club ) where club = 'asm clermont'	1
[ header: pennant \| name \| hull builder \| ordered \| laid down \| launched \| accepted into service \| commissioned \| est. building cost \| fate row 1 : f169 \| amazon \| vosper thornycroft, woolston \| 26 march 1969 \| 6 november 1969 \| 26 april 1971 \| 19 july 1974 \| 11 may 1974 \| £16.8m \| to pakistan as babur row 2 : f170 \| antelope \| vosper thornycroft \| 11 may 1970 \| 23 march 1971 \| 16 march 1972 \| 30 june 1975 \| 16 july 1975 \| £14.4m \| bombed by argentine a-4 row 3 : f172 \| ambuscade \| yarrow shipbuilders, scot \| 11 november 1971 \| 1 september 1971 \| 18 january 1973 \| 23 august 1975 \| 5 september 1975 \| £16.5m \| to pakistan as tariq row 4 : f173 \| arrow \| ysl \| 11 november 1971 \| 28 september 1972 \| 5 february 1974 \| 16 may 1975 \| 29 july 1976 \| £20.2m \| to pakistan as khaibar row 5 : f171 \| active \| vosper thornycroft \| 11 may 1970 \| 21 july 1971 \| 23 november 1972 \| 2 june 1977 \| 17 june 1977 \| £24.1m \| to pakistan as shah ja row 6 : f174 \| alacrity \| ysl \| 11 november 1971 \| 5 march 1973 \| 18 september 1974 \| 2 april 1977 \| 2 july 1977 \| £23.8m \| to pakistan as badr row 7 : f184 \| ardent \| ysl \| 11 november 1971 \| 26 february 1974 \| 9 may 1975 \| 10 september 1977 \| 14 october 1977 \| £26.3m \| bombed by argentine a-4 row 8 : f185 \| avenger \| ysl \| 11 november 1971 \| 30 october 1974 \| 20 november 1975 \| 15 april 1978 \| 15 april 1978 \| £27.7m \| to pakistan as tippu s ] Execute this SQL based on the above table: select name where name != 'alacrity' and hull builder = ( select hull builder where name = 'alacrity' )	arrow, ardent, avenger
[ header: tie no \| home team \| score \| away team \| date row 1 : 1 \| leicester city \| 1-2 \| manchester united \| 14 february 1976 row 2 : 2 \| bolton wanderers \| 3-3 \| newcastle united \| 14 february 1976 row 3 : replay \| newcastle united \| 0-0 \| bolton wanderers \| 18 february 1976 row 4 : replay \| bolton wanderers \| 1-2 \| newcastle united \| 23 february 1976 row 5 : 3 \| wolverhampton wanderers \| 3-0 \| charlton athletic \| 14 february 1976 row 6 : 4 \| west bromwich albion \| 1-1 \| southampton \| 14 february 1976 row 7 : replay \| southampton \| 4-0 \| west bromwich albion \| 17 february 1976 row 8 : 5 \| derby county \| 1-0 \| southend united \| 14 february 1976 row 9 : 6 \| norwich city \| 1-2 \| bradford city \| 23 february 1976 row 10 : 7 \| chelsea \| 2-3 \| crystal palace \| 14 february 1976 row 11 : 8 \| stoke city \| 0-0 \| sunderland \| 14 february 1976 row 12 : replay \| sunderland \| 2-1 \| stoke city \| 17 february 1976 ] Execute this SQL based on the above table: select home team where score = '4-0'	southampton
[ header: county \| fips code \| county seat \| created \| origin \| etymology \| population estimate (2011) \| area row 1 : alamance county \| 1 \| graham \| 1849 \| orange county \| the battle of alamance which was derived \| 153291 \| 435 sq mi (1,127 km2) row 2 : clay county \| 43 \| hayesville \| 1861 \| cherokee county \| henry clay (1777-1852), states \| 10563 \| 221 sq mi (572 km2) row 3 : dare county \| 55 \| manteo \| 1870 \| currituck county, hyde \| virginia dare (b. 1587 \| 34307 \| 1,562 sq mi (4,046 km2) row 4 : duplin county \| 61 \| kenansville \| 1750 \| new hanover county \| thomas hay, viscount du \| 59542 \| 819 sq mi (2,121 km2) row 5 : gaston county \| 71 \| gastonia \| 1846 \| lincoln county \| william gaston (1778-1844), \| 207031 \| 364 sq mi (943 km2) row 6 : greene county \| 79 \| snow hill \| 1799 \| dobbs county originally named glasgo \| nathanael greene (17 \| 21556 \| 266 sq mi (689 km2) row 7 : henderson county \| 89 \| hendersonville \| 1838 \| buncombe county \| leonard henderson (1772-18 \| 107927 \| 375 sq mi (971 km2) row 8 : mitchell county \| 121 \| bakersville \| 1861 \| burke county, caldwell county, m \| elisha mitchell (1793 \| 15445 \| 222 sq mi (575 km2) row 9 : wilson county \| 195 \| wilson \| 1855 \| edgecombe county, johnston county, \| louis d. wilson, \| 81452 \| 374 sq mi (969 km2) row 10 : yadkin county \| 197 \| yadkinville \| 1850 \| surry county \| the yadkin river \| 38279 \| 337 sq mi (873 km2) ] Execute this SQL based on the above table: select count ( * ) where origin = 'edgecombe county, johnston county, nash county, and wayne county'	1
[ header: record \| date \| result \| opponent \| location \| method \| round row 1 : 13-0 \| 07/12/2013 \| win \| igor pylypenko \| porsche arena, stuttgart, \| unanimous decision \| 6 row 2 : 12-0 \| 27/10/2013 \| win \| alphonce mchumiatumb \| sarajevo, bosn \| decision \| 8 row 3 : 11-0 \| 06/07/2013 \| win \| alexander vasiliev \| westfalenhalle, dortmund, \| tko \| 2 row 4 : 10-0 \| 02/02/2013 \| win \| niko falin \| iss dome, dusseldorf, germany \| unanimous decision \| 6 row 5 : 9-0 \| 02/12/2012 \| win \| ladislav kovarik \| esprit arena, dusseldorf, germany \| unanimous decision \| 6 row 6 : 8-0 \| 06/08/2012 \| win \| ivica perkovic \| sarajevo, bosn \| unanimous decision \| 12 row 7 : 7-0 \| 04/13/2012 \| win \| aliaksandr makaranka \| lanxess arena, c \| ko \| 1 row 8 : 6-0 \| 12/17/2011 \| win \| ferenc zsalek \| sarajevo, bosn \| ko \| 3 row 9 : 5-0 \| 12/02/2011 \| win \| liridon memishi \| sap arena, mannheim, germany \| unanimous decision \| 6 row 10 : 4-0 \| 06/25/2011 \| win \| werner kreiskott \| lanxess arena, c \| unanimous decision \| 6 row 11 : 3-0 \| 02/19/2011 \| win \| ergin solmaz \| porsche arena, stuttgart, \| unanimous decision \| 4 row 12 : 2-0 \| 09/03/2004 \| win \| tomasz zeprzalka \| gorazde, bosnia and \| tko \| 2 row 13 : 1-0 \| 02/07/2004 \| win \| ergin solmaz \| sarajevo, bosn \| unanimous decision \| 4 ] Execute this SQL based on the above table: select location where location in ( 'sarajevo, bosnia and herzegovina' , 'porsche arena, stuttgart, germany' ) group by location order by count ( * ) desc limit 1	sarajevo, bosnia and herzegovina
[ 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 count ( opponent ) where week > 5	12
[ header: release \| artist \| title \| notes \| album row 1 : 2004 \| hiroshi itsuki feat. \| deigo to hanasu ( \| None \| onna no ehon row 2 : 2005 \| chikuzen sato with \| boku no mune de oya \| features on "rimits: best duet songs \| the selection of cornerstones 1995-2004 row 3 : 2005 \| rimi natsukawa \| 'aa koshien' \| None \| ningen manyoka: y row 4 : 2005 \| kaoru kurosawa duet \| manten no hoshi no yoru \| features on "rimits: best duet songs \| love anthem row 5 : 2006 \| andrea bocelli duet with rim \| somos novios (ai no \| features on "umui kaji" \| amore (japanese edition row 6 : 2008 \| taiyo yamazawa \| utabito (歌人 singer?) \| None \| music tree row 7 : 2009 \| chage with rimi natsu \| boku wa do kana (僕はとうかな what \| None \| many happy returns row 8 : 2009 \| rimi natsukawa \| tada sore dake ( \| None \| katsuhisa hattori ] Execute this SQL based on the above table: select count ( * ) where artist = 1352	0
[ header: \| name \| took office \| left office \| party \| notes/events row 1 : 4 \| uriah forrest \| march 4, 1793 \| november 8, 1794 \| pro-administration \| resigned row 2 : 7 \| william craik \| december 5, 1796 \| march 3, 1801 \| federalist \| None row 3 : 10 \| philip barton key \| march 4, 1807 \| march 3, 1813 \| federalist \| None row 4 : 11 \| alexander contee hanson \| march 4, 1813 \| 1816 \| federalist \| resigned row 5 : 12 \| george peter \| october 7, 1816 \| march 3, 1819 \| federalist \| None row 6 : 13 \| henry ridgely warfield \| march 4, 1819 \| march 3, 1823 \| federalist \| None row 7 : 13 \| henry ridgely warfield \| march 4, 1823 \| march 3, 1825 \| adams federalist \| None row 8 : 15 \| george corbin washington \| march 4, 1827 \| march 3, 1829 \| adams \| None row 9 : 15 \| george corbin washington \| march 4, 1829 \| march 3, 1833 \| anti-jacksonian \| None row 10 : 17 \| james turner \| march 4, 1833 \| march 3, 1837 \| jacksonian \| None row 11 : 18 \| john tolley hood worthington \| march 4, 1837 \| march 3, 1841 \| democratic \| None row 12 : 19 \| james wray williams \| march 4, 1841 \| december 2, 1842 \| democratic \| died row 13 : 21 \| john wethered \| march 4, 1843 \| march 3, 1845 \| whig \| None row 14 : 27 \| henry winter davis \| march 4, 1863 \| march 3, 1865 \| unconditional unionist \| None row 15 : 29 \| thomas swann \| march 4, 1869 \| march 3, 1873 \| democratic \| redistricted to the 4th district row 16 : 30 \| william james o'bri \| march 4, 1873 \| march 3, 1877 \| democratic \| None row 17 : 31 \| william kimmel \| march 4, 1877 \| march 3, 1881 \| democratic \| None row 18 : 32 \| fetter schrier hoblitzell \| march 4, 1881 \| march 3, 1885 \| democratic \| None row 19 : 36 \| frank charles wachter \| march 4, 1899 \| march 3, 1907 \| democratic \| None row 20 : 37 \| harry benjamin wolf \| march 4, 1907 \| march 3, 1909 \| democratic \| None row 21 : 39 \| george konig \| march 4, 1911 \| may 31, 1913 \| democratic \| died row 22 : 40 \| charles pearce coady \| november 4, 1913 \| march 3, 1921 \| democratic \| None row 23 : 41 \| john boynton philip clayton \| march 4, 1921 \| march 3, 1927 \| republican \| None row 24 : 43 \| thomas d'alesandro \| january 3, 1939 \| may 16, 1947 \| democratic \| resigned to become mayor of balti row 25 : 44 \| edward garmatz \| july 15, 1947 \| january 3, 1973 \| democratic \| None row 26 : 45 \| paul sarbanes \| january 3, 1973 \| january 3, 1977 \| democratic \| redistricted from the 4th district row 27 : 46 \| barbara mikulski \| january 3, 1977 \| january 3, 1987 \| democratic \| None row 28 : 47 \| benjamin cardin \| january 3, 1987 \| january 3, 2007 \| democratic \| None ] Execute this SQL based on the above table: select took office where took office in ( 'democratic' , 'march 4, 1833' ) order by desc limit 1	march 4, 1833
[ header: no. \| dub no. \| english dubbed title / english subbed title original japanese title \| original air date \| english air date row 1 : 6 \| None \| "protect the melody of love! usagi is \| april 18, 1992 \| None row 2 : 9 \| 6 \| "time bomb" / "usagi' \| may 9, 1992 \| september 18, 1995 row 3 : 12 \| 9 \| "cruise blues" / " \| may 30, 1992 \| september 21, 1995 row 4 : 14 \| 11 \| "match point for sailor moon" \| june 13, 1992 \| september 25, 1995 row 5 : 19 \| 16 \| "who is that masked man?" \| july 25, 1992 \| october 2, 1995 row 6 : 24 \| 20 \| "a friend in wolf's clothing" \| august 29, 1992 \| october 6, 1995 row 7 : 26 \| 22 \| "the power of friendship" / "b \| september 12, 1992 \| october 10, 1995 row 8 : 34 \| 30 \| "a crystal clear destiny" / "the \| november 28, 1992 \| october 20, 1995 row 9 : 36 \| 32 \| "bad hair day" / "usagi \| december 12, 1992 \| october 24, 1995 row 10 : 40 \| 36 \| "last resort" / "the legendary lake \| january 16, 1993 \| october 30, 1995 ] Execute this SQL based on the above table: select original air date where english air date in ( '9' , 'october 20, 1995' ) order by english dubbed title / english subbed title original japanese title asc limit 1	november 28, 1992
[ header: pennant \| name \| hull builder \| ordered \| laid down \| launched \| accepted into service \| commissioned \| est. building cost \| fate row 1 : f169 \| amazon \| vosper thornycroft, woolston \| 26 march 1969 \| 6 november 1969 \| 26 april 1971 \| 19 july 1974 \| 11 may 1974 \| £16.8m \| to pakistan as babur row 2 : f170 \| antelope \| vosper thornycroft \| 11 may 1970 \| 23 march 1971 \| 16 march 1972 \| 30 june 1975 \| 16 july 1975 \| £14.4m \| bombed by argentine a-4 row 3 : f172 \| ambuscade \| yarrow shipbuilders, scot \| 11 november 1971 \| 1 september 1971 \| 18 january 1973 \| 23 august 1975 \| 5 september 1975 \| £16.5m \| to pakistan as tariq row 4 : f173 \| arrow \| ysl \| 11 november 1971 \| 28 september 1972 \| 5 february 1974 \| 16 may 1975 \| 29 july 1976 \| £20.2m \| to pakistan as khaibar row 5 : f171 \| active \| vosper thornycroft \| 11 may 1970 \| 21 july 1971 \| 23 november 1972 \| 2 june 1977 \| 17 june 1977 \| £24.1m \| to pakistan as shah ja row 6 : f174 \| alacrity \| ysl \| 11 november 1971 \| 5 march 1973 \| 18 september 1974 \| 2 april 1977 \| 2 july 1977 \| £23.8m \| to pakistan as badr row 7 : f184 \| ardent \| ysl \| 11 november 1971 \| 26 february 1974 \| 9 may 1975 \| 10 september 1977 \| 14 october 1977 \| £26.3m \| bombed by argentine a-4 row 8 : f185 \| avenger \| ysl \| 11 november 1971 \| 30 october 1974 \| 20 november 1975 \| 15 april 1978 \| 15 april 1978 \| £27.7m \| to pakistan as tippu s ] Execute this SQL based on the above table: select ordered order by hull builder limit 1821	11 may 1970, 11 may 1970, 26 march 1969, 11 november 1971, 11 november 1971, 11 november 1971, 11 november 1971, 11 november 1971
[ header: city \| country \| airport \| begin \| end row 1 : aberdeen \| united kingdom \| aberdeen airport \| 1999 \| None row 2 : alesund \| norway \| alesund airport, vigra \| 1971 \| None row 3 : alta \| norway \| alta airport \| 1974 \| None row 4 : batsfjord \| norway \| batsfjord airport \| 1999 \| None row 5 : bodø \| norway \| bodø airport \| 1968 \| None row 6 : brønnøysund \| norway \| brønnøysund airport, \| 1968 \| None row 7 : fagernes \| norway \| fagernes airport, leirin \| 1999 \| 2000 row 8 : florø \| norway \| florø airport \| 1971 \| None row 9 : førde \| norway \| førde airport, bringel \| 1986 \| None row 10 : førde \| norway \| førde airport, øy \| 1971 \| 1986 row 11 : glasgow \| united kingdom \| glasgow international airport \| 1997 \| 1999 row 12 : gothenburg \| sweden \| gothenburg-landvetter airport \| 1996 \| None row 13 : hammerfest \| norway \| hammerfest airport \| 1974 \| None row 14 : haugesund \| norway \| haugesund airport, karmø \| 2010 \| None row 15 : harstad/narvik \| norway \| harstad/narvik airport, \| 1975 \| None row 16 : kirkenes \| norway \| kirkenes airport, hø \| 1974 \| None row 17 : kristiansand \| norway \| kristiansand airport, kje \| 1991 \| None row 18 : lakselv \| norway \| lakselv airport, banak \| 1974 \| None row 19 : leknes \| norway \| leknes airport \| 1972 \| None row 20 : lerwick \| united kingdom \| sumburgh airport \| 1995 \| 2005 row 21 : london \| united kingdom \| london stansted airport \| 1989 \| 1992 row 22 : molde \| norway \| molde airport, arø \| 1972 \| None row 23 : murmansk \| russia \| murmansk airport \| 1994 \| 2000 row 24 : narvik \| norway \| narvik airport, framnes \| 1975 \| None row 25 : namsos \| norway \| namsos airport, hø \| 1968 \| None row 26 : newcastle \| united kingdom \| newcastle airport \| 2006 \| None row 27 : ørland \| norway \| ørland airport \| 1971 \| 1987 row 28 : ørsta/volda \| norway \| ørsta-volda airport, \| 1971 \| None row 29 : oslo \| norway \| oslo airport, forne \| 1974 \| 1998 row 30 : oslo \| norway \| oslo airport, gardermo \| 1998 \| None row 31 : rønne \| denmark \| bornholm airport \| 2007 \| None row 32 : sandefjord \| norway \| sandefjord airport, to \| 1989 \| None row 33 : sandnessjøen \| norway \| sandnessjøen airport, \| 1968 \| None row 34 : sogndal \| norway \| sogndal airport, haukas \| 1971 \| None row 35 : stavanger \| norway \| stavanger airport, sola \| 1989 \| None row 36 : svolvær \| norway \| svolvær airport, helle \| 1972 \| None row 37 : tromsø \| norway \| tromsø airport \| 1974 \| None row 38 : umea \| sweden \| umea airport \| 1995 \| 1995 ] Execute this SQL based on the above table: select begin order by end asc limit 1	1999
[ header: position \| nation \| number \| name \| soproni liga \| uefa cup \| hungarian cup \| league cup \| total row 1 : 1 \| \| 14 \| gergely rudolf \| 16 \| 3 \| 0 \| 0 \| 19 row 2 : 2 \| \| 41 \| lorant olah \| 12 \| 1 \| 0 \| 0 \| 13 row 3 : 3 \| \| 99 \| omagbemi dudu \| 4 \| 1 \| 5 \| 0 \| 10 row 4 : 4 \| \| 55 \| peter szakaly \| 9 \| 0 \| 0 \| 0 \| 9 row 5 : 5 \| \| 77 \| peter czvitkovics \| 7 \| 0 \| 0 \| 0 \| 7 row 6 : 6 \| \| 4 \| leandro de almeida \| 5 \| 0 \| 1 \| 0 \| 6 row 7 : 7 \| \| 17 \| norbert meszaros \| 3 \| 0 \| 0 \| 0 \| 3 row 8 : 8 \| \| 8 \| zsombor kerekes \| 1 \| 0 \| 2 \| 0 \| 3 row 9 : 9 \| \| 10 \| igor bogdanovic \| 0 \| 0 \| 3 \| 0 \| 3 row 10 : 10 \| \| 2 \| istvan szucs \| 2 \| 0 \| 0 \| 0 \| 2 row 11 : 11 \| \| 30 \| zoltan kiss \| 2 \| 0 \| 0 \| 0 \| 2 row 12 : 12 \| \| 23 \| peter szilagyi \| 2 \| 0 \| 0 \| 0 \| 2 row 13 : 13 \| \| 7 \| tibor dombi \| 2 \| 0 \| 0 \| 0 \| 2 row 14 : 14 \| \| 13 \| peter biro \| 1 \| 0 \| 0 \| 0 \| 1 row 15 : 15 \| \| 27 \| gabor demjen \| 1 \| 0 \| 0 \| 0 \| 1 row 16 : 16 \| \| 19 \| vinicius galvao leal \| 1 \| 0 \| 0 \| 0 \| 1 row 17 : 17 \| \| 1 \| vukasin poleksic \| 1 \| 0 \| 0 \| 0 \| 1 row 18 : 18 \| \| 83 \| zoltan varga \| 0 \| 0 \| 1 \| 0 \| 1 row 19 : 19 \| \| 16 \| adam komlosi \| 0 \| 0 \| 1 \| 0 \| 1 row 20 : None \| \| None \| own goals \| 1 \| 0 \| 0 \| 0 \| 1 row 21 : None \| \| None \| totals \| 70 \| 5 \| 13 \| 0 \| 88 ] Execute this SQL based on the above table: select name where soproni liga = 1 and soproni liga = 1	zsombor kerekes, peter biro, gabor demjen, vinicius galvao leal, vukasin poleksic, own goals
[ header: team \| constructor \| motorcycle \| tyres \| no \| rider \| rounds row 1 : camel yamaha team \| yamaha \| yamaha yzr-m1 \| m \| 5 \| colin edwards \| all row 2 : camel yamaha team \| yamaha \| yamaha yzr-m1 \| m \| 46 \| valentino rossi \| all row 3 : konica minolta honda \| honda \| honda rc211v \| m \| 6 \| makoto tamada \| all row 4 : tech 3 yamaha \| yamaha \| yamaha yzr-m1 \| d \| 7 \| carlos checa \| all row 5 : tech 3 yamaha \| yamaha \| yamaha yzr-m1 \| d \| 77 \| james ellison \| all row 6 : ducati marlboro team \| ducati \| ducati desmosedici gp \| b \| 15 \| sete gibernau \| 1-7, 10-11, 13-16 row 7 : ducati marlboro team \| ducati \| ducati desmosedici gp \| b \| 65 \| loris capirossi \| all row 8 : ducati marlboro team \| ducati \| ducati desmosedici gp \| b \| 66 \| alex hofmann \| 8-9, 12 row 9 : ducati marlboro team \| ducati \| ducati desmosedici gp \| b \| 12 \| troy bayliss \| 17 row 10 : kawasaki racing team \| kawasaki \| kawasaki ninja z \| b \| 17 \| randy de puniet \| all row 11 : kawasaki racing team \| kawasaki \| kawasaki ninja z \| b \| 56 \| shinya nakano \| all row 12 : kawasaki racing team \| kawasaki \| kawasaki ninja z \| b \| 8 \| naoki matsudo \| 15 row 13 : rizla suzuki motogp \| suzuki \| suzuki gsv-r \| b \| 21 \| john hopkins \| all row 14 : rizla suzuki motogp \| suzuki \| suzuki gsv-r \| b \| 71 \| chris vermeulen \| all row 15 : repsol honda team \| honda \| honda rc211v \| m \| 26 \| dani pedrosa \| all row 16 : repsol honda team \| honda \| honda rc211v \| m \| 69 \| nicky hayden \| all row 17 : honda lcr \| honda \| honda rc211v \| m \| 27 \| casey stoner \| all row 18 : pramac d'antin moto \| ducati \| ducati desmosedici gp \| d \| 30 \| jose luis cardoso \| all row 19 : pramac d'antin moto \| ducati \| ducati desmosedici gp \| d \| 66 \| alex hofmann \| 1-7, 10-11, 13-17 row 20 : pramac d'antin moto \| ducati \| ducati desmosedici gp \| d \| 22 \| ivan silva \| 8-9, 12 row 21 : fortuna honda \| honda \| honda rc211v \| m \| 24 \| toni elias \| 1-8, 10-17 row 22 : fortuna honda \| honda \| honda rc211v \| m \| 33 \| marco melandri \| all row 23 : fortuna honda \| honda \| honda rc211v \| m \| 84 \| michel fabrizio \| 9 ] Execute this SQL based on the above table: select count ( * )	23
[ header: # \| title \| performer(s) \| film \| length row 1 : 1 \| "a dream is a wish your heart makes \| disney channel stars \| cinderella \| 3:46 row 2 : 2 \| "zip-a-dee-do \| miley cyrus \| song of the south \| 3:06 row 3 : 3 \| "if i never knew you" \| the cheetah girls \| pocahontas \| 3:16 row 4 : 4 \| "who's afraid of the big bad \| b5 \| three little pigs \| 3:32 row 5 : 5 \| "reflection" (remix) \| christina aguilera \| mulan \| 3:15 row 6 : 6 \| "i'll try" \| jesse mccartney \| return to never land \| 3:51 row 7 : 7 \| "look through my eyes" \| everlife \| brother bear \| 3:11 row 8 : 8 \| "candle on the water" \| anneliese van der pol \| pete's dragon \| 3:08 row 9 : 9 \| "you'll be in my heart" \| teddy geiger \| tarzan \| 4:15 row 10 : 10 \| "yo ho (a pirate's life \| jonas brothers \| pirates of the caribbean \| 2:04 row 11 : 11 \| "someday my prince will come (feat \| ashley tisdale \| snow white and the seven dwarfs \| 3:31 row 12 : 12 \| "hawaiian roller coaster ride \| baha men \| lilo & stitch \| 3:30 row 13 : 13 \| "can you feel the love tonight" \| sara paxton \| the lion king \| 3:40 row 14 : 14 \| "super cali (boiob \| orlando brown \| mary poppins \| 3:32 row 15 : 15 \| "monkey's uncle" \| devo 2.0 \| the monkey's uncle \| 2:24 row 16 : 16 \| "cruella de vil" 1 \| skye sweetnam \| 101 dalmatians \| 2:55 row 17 : 17 \| "go the distance" 1 \| k-ci & jojo \| hercules \| 4:10 ] Execute this SQL based on the above table: select title order by length desc limit 1	"you'll be in my heart"
[ header: match \| date \| ground \| opponent \| score1 \| pos. \| pts. \| gd row 1 : 2 \| 22 august \| h \| 1. fc kaiserslau \| 1 - 0 \| 1 \| 4 \| 4 row 2 : 4 \| 29 august \| h \| dynamo dresden \| 3 - 1 \| 1 \| 6 \| 6 row 3 : 5 \| 2 september \| a \| 1. fc koln \| 3 - 1 \| 1 \| 8 \| 8 row 4 : 6 \| 5 september \| h \| hamburger sv \| 4 - 0 \| 1 \| 10 \| 12 row 5 : 7 \| 19 september \| h \| sg wattenscheid 09 \| 1 - 1 \| 1 \| 11 \| 12 row 6 : 8 \| 25 september \| a \| borussia dortmund \| 2 - 1 \| 1 \| 13 \| 13 row 7 : 9 \| 3 october \| h \| borussia monchengladbach \| 2 - 2 \| 1 \| 14 \| 13 row 8 : 10 \| 17 october \| a \| 1. fc saarbrucken \| 1 - 1 \| 1 \| 15 \| 13 row 9 : 11 \| 24 october \| h \| werder bremen \| 1 - 3 \| 1 \| 15 \| 11 row 10 : 3 \| 27 october \| a \| eintracht frankfurt \| 1 - 1 \| 1 \| 16 \| 11 row 11 : 12 \| 31 october \| a \| vfb stuttgart \| 3 - 2 \| 1 \| 18 \| 12 row 12 : 14 \| 21 november \| a \| bayer leverkusen \| 4 - 2 \| 1 \| 22 \| 15 row 13 : 15 \| 28 november \| h \| karlsruher sc \| 3 - 3 \| 1 \| 23 \| 15 row 14 : 16 \| 5 december \| a \| vfl bochum \| 2 - 2 \| 1 \| 24 \| 15 row 15 : 19 \| 27 february \| a \| 1. fc kaiserslau \| 3 - 1 \| 1 \| 29 \| 19 row 16 : 20 \| 6 march \| h \| eintracht frankfurt \| 1 - 0 \| 1 \| 31 \| 20 row 17 : 22 \| 20 march \| h \| 1. fc koln \| 3 - 0 \| 1 \| 34 \| 23 row 18 : 23 \| 28 march \| a \| hamburger sv \| 1 - 3 \| 1 \| 34 \| 21 row 19 : 24 \| 2 april \| a \| sg wattenscheid 09 \| 0 - 2 \| 1 \| 34 \| 19 row 20 : 25 \| 10 april \| h \| borussia dortmund \| 2 - 0 \| 1 \| 36 \| 21 row 21 : 26 \| 17 april \| a \| borussia monchengladbach \| 2 - 2 \| 1 \| 37 \| 21 row 22 : 27 \| 23 april \| h \| 1. fc saarbrucken \| 6 - 0 \| 1 \| 39 \| 27 row 23 : 28 \| 26 april \| a \| werder bremen \| 1 - 4 \| 1 \| 39 \| 24 row 24 : 30 \| 8 may \| a \| 1. fc nurnberg \| 0 - 0 \| 1 \| 42 \| 26 row 25 : 31 \| 15 may \| h \| bayer leverkusen \| 4 - 1 \| 1 \| 44 \| 29 row 26 : 32 \| 23 may \| a \| karlsruher sc \| 2 - 4 \| 1 \| 44 \| 27 row 27 : 33 \| 29 may \| h \| vfl bochum \| 3 - 1 \| 2 \| 46 \| 29 row 28 : 34 \| 5 june \| a \| schalke 04 \| 3 - 3 \| 2 \| 47 \| 29 ] Execute this SQL based on the above table: select pos. where opponent = 'borussia monchengladbach'	1, 1
[ header: game \| date \| team \| score \| high points \| high rebounds \| high assists \| location attendance \| record row 1 : 75 \| april 1 \| @ sacramento \| w 99-90 \| raymond felton (17) \| nene (12) \| nene (6) \| power balance pavilion 15,871 \| 46-29 row 2 : 76 \| april 3 \| @ l.a. lakers \| w 95-90 \| danilo gallinari (22) \| kenyon martin (8) \| ty lawson (8) \| staples center 18,997 \| 47-29 row 3 : 77 \| april 5 \| oklahoma city \| l 94-101 \| ty lawson (28) \| nene (8) \| ty lawson (5) \| pepsi center 18,203 \| 47-30 row 4 : 78 \| april 6 \| @ dallas \| w 104-96 \| j. r. smith (23) \| nene (15) \| ty lawson (8) \| american airlines center 20,364 \| 48-30 row 5 : 79 \| april 8 \| @ oklahoma city \| l 89-104 \| nene (18) \| kenyon martin (13) \| ty lawson (6) \| oklahoma city arena 18,203 \| 48-31 row 6 : 80 \| april 9 \| minnesota \| w 130-106 \| ty lawson (37) \| kenyon martin, j \| raymond felton (14) \| pepsi center 19,155 \| 49-31 row 7 : 81 \| april 11 \| golden state \| w 134-111 \| j. r. smith (22) \| chris andersen (12) \| raymond felton (10) \| pepsi center 19,155 \| 50-31 row 8 : 82 \| april 13 \| @ utah \| l 103-107 \| wilson chandler (27) \| chris andersen (10) \| wilson chandler, gary \| energysolutions arena 19,051 \| 50-32 ] Execute this SQL based on the above table: select score where id = ( select id where game = 78 ) - 1	l 94-101
[ header: # \| date \| opponent \| score \| win \| loss \| save \| attendance \| record row 1 : 79 \| july 1 \| @ braves \| 8-4 \| gonzalez (11-3) \| hudson (6-4) \| None \| 18796 \| 45-32 row 2 : 82 \| july 5 \| giants \| 6-5 \| clippard (2-2) \| casilla (2-4) \| None \| 29819 \| 48-32 row 3 : 83 \| july 6 \| rockies \| 1-5 \| pomeranz (1-3) \| strasburg (9-4) \| betancourt (14) \| 28951 \| 48-33 row 4 : 84 \| july 7 \| rockies \| 4-1 \| gonzalez (12-3) \| francis (2-2) \| clippard (14) \| 28032 \| 49-33 row 5 : 85 \| july 8 \| rockies \| 3-4 \| brothers (4-2) \| clippard (2-3) \| betancourt (15) \| 25125 \| 49-34 row 6 : None \| july 10 \| 2012 major league baseball all-star game in \| None \| None \| None \| None \| None \| None row 7 : 86 \| july 13 \| @ marlins \| 5-1 \| zimmermann (6-6) \| johnson (5-6) \| None \| 30911 \| 50-34 row 8 : 88 \| july 15 \| @ marlins \| 4-0 \| strasburg (10-4) \| nolasco (8-7) \| None \| 29889 \| 51-35 row 9 : 89 \| july 16 \| @ marlins \| 3-5 \| zambrano (5-7) \| jackson (5-5) \| dunn (1) \| 29248 \| 51-36 row 10 : 91 \| july 18 \| mets \| 4-3 \| zimmermann (7-6) \| young (2-4) \| clippard (15) \| 31660 \| 53-36 row 11 : 92 \| july 19 \| mets \| 5-9 \| dickey (13-1) \| gonzalez (12-5) \| None \| 36389 \| 53-37 row 12 : 93 \| july 20 \| braves \| 10-11 (11) \| o'flaherty (2-0 \| gorzelanny (2-2) \| durbin (1) \| 34228 \| 53-38 row 13 : 94 \| july 21 \| braves \| 0-4 \| sheets (2-0) \| jackson (5-6) \| None \| 28745 \| 53-39 row 14 : 52 \| july 21 \| braves \| 5-2 \| lannan (1-0) \| martinez (4-2) \| clippard (16) \| 40047 \| 54-39 row 15 : 95 \| july 22 \| braves \| 9-2 \| detwiler (5-3) \| jurrjens (3-4) \| None \| 34917 \| 55-39 row 16 : 96 \| july 23 \| @ mets \| 8-2 (10) \| gorzelanny (3-2) \| byrdak (2-2) \| None \| 26735 \| 56-39 row 17 : 97 \| july 24 \| @ mets \| 5-2 \| gonzalez (13-5) \| dickey (13-2) \| clippard (17) \| 36236 \| 57-39 row 18 : 98 \| july 25 \| @ mets \| 5-2 \| strasburg (11-4) \| hefner (1-4) \| clippard (18) \| 35517 \| 58-39 row 19 : 99 \| july 26 \| @ brewers \| 8-2 \| jackson (6-6) \| gallardo (8-8) \| None \| 33176 \| 59-39 row 20 : 100 \| july 27 \| @ brewers \| 0-6 \| fiers (4-4) \| detwiler (5-4) \| None \| 35858 \| 59-40 row 21 : 101 \| july 28 \| @ brewers \| 4-1 \| zimmermann (8-6) \| wolf (3-7) \| clippard (19) \| 41890 \| 60-40 ] Execute this SQL based on the above table: select record where id = 6	49-33
[ 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 count ( venue ) where date > 575	0
[ header: no \| title \| directed by \| released row 1 : 1 \| "kloot's k \| hawley pratt \| 1973 row 2 : 2 \| "apache on the county seat" \| hawley pratt \| 1973 row 3 : 3 \| "the shoe must go on" \| gerry chiniquy \| 1973 row 4 : 4 \| "a self winding sidewinder" \| roy morita \| 1973 row 5 : 5 \| "pay your buffalo bill" \| gerry chiniquy \| 1973 row 6 : 6 \| "stirrups and hic \| gerry chiniquy \| 1973 row 7 : 7 \| "ten miles to the gallop" \| arthur leonardi \| 1973 row 8 : 8 \| "phony express" \| gerry chiniquy \| 1974 row 9 : 9 \| "giddy up woe" \| sid marcus \| 1974 row 10 : 10 \| "gold struck" \| roy morita \| 1974 row 11 : 11 \| "as the tumbleweeds turn" \| gerry chiniquy \| 1974 row 12 : 12 \| "the badge and the beautiful" \| bob balsar \| 1974 row 13 : 13 \| "big beef at o.k. cor \| bob balsar \| 1974 row 14 : 14 \| "by hoot or by crook \| bob balsar \| 1974 row 15 : 15 \| "strange on the range" \| durward bonaye \| 1974 row 16 : 16 \| "mesa trouble" \| sid marcus \| 1974 row 17 : 17 \| "saddle soap opera" \| gerry chiniquy \| 1974 ] Execute this SQL based on the above table: select title where no = ( select no where title = '"big beef at o.k. corral"' ) + 1	"by hoot or by crook"
[ header: outcome \| no. \| date \| tournament \| surface \| partner \| opponents \| score row 1 : winner \| 1 \| april 18, 2004 \| jackson, united states \| clay \| alisa kleybanova \| cory ann avants kristen \| 6-2, 6-3 row 2 : runner-up \| 1 \| september 26, 2004 \| albuquerque, united states \| hard \| maria emilia salern \| maureen drake carly gul \| 3-6, 6-7(6-8) row 3 : winner \| 2 \| march 27, 2005 \| redding, united states \| hard \| yulia beygelzimer \| leanne baker francesca lub \| 6-4, 6-7(1-7), row 4 : runner-up \| 2 \| may 8, 2005 \| raleigh, united states \| clay \| maria fernanda alves \| ashley harkleroad lindsay \| 2-6, 6-0, 3-6 row 5 : runner-up \| 3 \| march 19, 2006 \| orange, united states \| hard \| lilia osterloh \| kateryna bondarenko alon \| 2-6, 4-6 row 6 : winner \| 3 \| november 12, 2006 \| pittsburgh, united states \| hard (i) \| alisa kleybanova \| ashley harkleroad galina \| 6-4, 5-7, 6-1 row 7 : runner-up \| 4 \| february 11, 2007 \| midland, united states \| hard (i) \| maureen drake \| laura granville abigail spears \| 4-6, 6-3, 3-6 row 8 : runner-up \| 5 \| july 7, 2007 \| southlake, united states \| hard \| valerie tetreault \| surina de beer kim grant \| 6-4, 4-6, 4-6 row 9 : winner \| 4 \| july 22, 2007 \| hamilton, canada \| clay \| surina de beer \| michaela johansson pa \| walkover row 10 : winner \| 5 \| august 4, 2007 \| vancouver, canada \| hard \| marie-eve pelletier \| soledad esperon agustin \| 6-4, 6-4 row 11 : winner \| 6 \| october 21, 2007 \| lawrenceville, united states \| hard \| alisa kleybanova \| leanne baker julie ditty \| 6-2, 6-0 row 12 : winner \| 7 \| november 12, 2007 \| pittsburgh, united states \| hard (i) \| alisa kleybanova \| raquel kops-jones \| 6-4, 4-6, [10-6] row 13 : runner-up \| 6 \| april 27, 2008 \| dothan, united states \| clay \| maria fernanda alves \| tetiana luzhan \| 1-6, 3-6 row 14 : winner \| 8 \| october 18, 2008 \| toronto, canada \| hard (i) \| marie-eve pelletier \| nikola frankova carmen \| 6-4, 6-2 row 15 : runner-up \| 7 \| september 27, 2009 \| saguenay, canada \| hard (i) \| rebecca marino \| sofia arvidsson s \| 3-6, 1-6 row 16 : runner-up \| 8 \| april 13, 2013 \| poza rica, mexico \| hard \| olga savch \| maria fernanda alvarez \| 2-6, 3-6 ] Execute this SQL based on the above table: select tournament where date = 'november 12, 2007'	pittsburgh, united states
[ header: rank \| athlete \| country \| time \| notes row 1 : None \| kaija mustonen \| finland \| 2:22.4 \| or row 2 : None \| carry geijssen \| netherlands \| 2:22.7 \| None row 3 : None \| stien kaiser \| netherlands \| 2:24.5 \| None row 4 : 4 \| sigrid sundby-dy \| norway \| 2:25.2 \| None row 5 : 5 \| lasma kauniste \| soviet union \| 2:25.4 \| None row 6 : 6 \| kaija-liisa \| finland \| 2:25.8 \| None row 7 : 7 \| lyudmila titova \| soviet union \| 2:26.8 \| None row 8 : 8 \| ruth schleiermacher \| east germany \| 2:27.1 \| None row 9 : 9 \| christina lindblom-scher \| sweden \| 2:27.5 \| None row 10 : 9 \| hildegard sellhuber \| west germany \| 2:27.5 \| None row 11 : 11 \| lidiya skoblikova \| soviet union \| 2:27.6 \| None row 12 : 12 \| ans schut \| netherlands \| 2:28.3 \| None row 13 : 13 \| dianne holum \| united states \| 2:28.5 \| None row 14 : 14 \| martine ivangine \| france \| 2:29.9 \| None row 15 : 14 \| kari karing \| norway \| 2:29.9 \| None row 16 : 16 \| jeanne ashworth \| united states \| 2:30.3 \| None row 17 : 17 \| lisbeth korsmo \| norway \| 2:30.7 \| None row 18 : 18 \| christina karlsson \| sweden \| 2:31.4 \| None row 19 : 18 \| sachiko saito \| japan \| 2:31.4 \| None row 20 : 20 \| ylva hedlund \| sweden \| 2:31.5 \| None row 21 : 21 \| doreen mccannell \| canada \| 2:32.2 \| None row 22 : 22 \| arja kantola \| finland \| 2:33.2 \| None row 23 : 23 \| kaname ide \| japan \| 2:34.2 \| None row 24 : 24 \| marcia parsons \| canada \| 2:34.4 \| None row 25 : 25 \| jeanne omelenchuk \| united states \| 2:35.5 \| None row 26 : 26 \| jitsuko saito \| japan \| 2:36.6 \| None row 27 : 27 \| kim gwi-jin \| south korea \| 2:36.7 \| None row 28 : 28 \| marie-louise perrenou \| france \| 2:39.2 \| None row 29 : 29 \| patricia demartini \| france \| 2:40.6 \| None row 30 : 30 \| paula dufter \| west germany \| 2:45.2 \| None ] Execute this SQL based on the above table: select athlete where country = 'south korea' order by rank desc limit 1	kim gwi-jin
[ header: saros \| member \| date \| time (greatest) utc \| type \| location lat,long \| gamma \| mag. \| width (km) \| duration (min:sec) \| ref row 1 : 160 \| 3 \| june 5, 2217 \| 4:22:21 \| partial \| 67.5s 118.9e \| -1.3807 \| 0.3094 \| None \| None \| row 2 : 160 \| 4 \| june 16, 2235 \| 11:00:36 \| partial \| 66.5s 8.8e \| -1.299 \| 0.4502 \| None \| None \| row 3 : 160 \| 5 \| june 26, 2253 \| 17:36:11 \| partial \| 65.5s 100.1w \| -1.2139 \| 0.5981 \| None \| None \| row 4 : 160 \| 6 \| july 8, 2271 \| 0:13:02 \| partial \| 64.5s 151.1e \| -1.1284 \| 0.7474 \| None \| None \| row 5 : 160 \| 7 \| july 18, 2289 \| 6:50:58 \| partial \| 63.6s 42.3e \| -1.0426 \| 0.898 \| None \| None \| row 6 : 160 \| 8 \| july 30, 2307 \| 13:31:16 \| annular \| 50s 48.7w \| -0.9574 \| 0.9602 \| 501 \| 3m 37s \| row 7 : 160 \| 10 \| august 21, 2343 \| 3:07:05 \| annular \| 35.1s 112.8e \| -0.7957 \| 0.9679 \| 186 \| 3m 9s \| row 8 : 160 \| 11 \| august 31, 2361 \| 10:04:30 \| annular \| 32.2s 9.7e \| -0.7211 \| 0.9701 \| 151 \| 2m 54s \| row 9 : 160 \| 14 \| october 3, 2415 \| 7:47:48 \| annular \| 31.8s 47.4e \| -0.5335 \| 0.9736 \| 110 \| 2m 27s \| row 10 : 160 \| 16 \| october 24, 2451 \| 23:03:09 \| annular \| 35.3s 178.3w \| -0.4424 \| 0.9746 \| 101 \| 2m 21s \| row 11 : 160 \| 18 \| november 15, 2487 \| 14:57:35 \| annular \| 39.5s 52.3w \| -0.3807 \| 0.9756 \| 94 \| 2m 16s \| row 12 : 160 \| 20 \| december 8, 2523 \| 7:24:54 \| annular \| 42.4s 67.5e \| -0.3431 \| 0.9774 \| 86 \| 2m 8s \| row 13 : 160 \| 21 \| december 18, 2541 \| 15:48:55 \| annular \| 42.8s 54.7w \| -0.3319 \| 0.9788 \| 80 \| 2m 1s \| row 14 : 160 \| 27 \| february 22, 2650 \| 18:53:59 \| annular \| 26.2s 86.4w \| -0.2856 \| 0.9984 \| 6 \| 0m 9s \| row 15 : 160 \| 28 \| march 5, 2668 \| 3:17:08 \| hybrid \| 21s 147.7e \| -0.2697 \| 1.0035 \| 13 \| 0m 21s \| row 16 : 160 \| 32 \| april 18, 2740 \| 11:49:23 \| total \| 2.7n 15.9e \| -0.1487 \| 1.0268 \| 92 \| 2m 43s \| row 17 : 160 \| 33 \| april 29, 2758 \| 19:40:31 \| total \| 8.9n 102.7w \| -0.1026 \| 1.0328 \| 111 \| 3m 18s \| row 18 : 160 \| 34 \| may 10, 2776 \| 3:25:50 \| total \| 14.9n 140.5e \| -0.0507 \| 1.0386 \| 130 \| 3m 50s \| row 19 : 160 \| 35 \| may 21, 2794 \| 11:05:18 \| total \| 20.7n 25.6e \| 0.007 \| 1.0441 \| 147 \| 4m 16s \| ] Execute this SQL based on the above table: select sum ( saros )	3040.0
[ header: position \| driver \| no. \| car \| entrant \| rd 1 \| rd 2 \| rd 3 \| rd 4 \| rd 5 \| rd 6 \| rd 7 \| rd 8 \| total row 1 : 1 \| greg crick \| 3 \| dodge viper gts ac \| crickcars.com \| 98 \| 108 \| 91 \| 72 \| 98 \| 96 \| 60 \| 90 \| 713 row 2 : 5 \| sven burchartz \| 90 \| porsche 996 gt3 \| cargraphic ag \| 32 \| 18 \| None \| 63 \| 57 \| 69 \| 114 \| 85.5 \| 438.5 row 3 : 6 \| david wall \| 38 \| porsche 996 gt3 r \| rds \| 32 \| 37.5 \| 63 \| None \| 80 \| 33 \| None \| 117 \| 362.5 row 4 : 7 \| john teulan \| 88 \| ferrari 360 challenge ferrari f430 challenge \| industry central - stahlwille \| 47 \| 48 \| 61 \| 77 \| None \| 48 \| 48 \| 19.5 \| 348.5 row 5 : 8 \| max twigg \| 18 & 17 \| porsche 996 gt3 \| twigg waste management luxton \| 45 \| 33 \| 51 \| 14 \| 37 \| 57 \| None \| 66 \| 303 row 6 : 9 \| d'arcy russell \| 7 \| dodge viper gts ac \| dupont \| 34 \| 31.5 \| None \| 23 \| None \| 117 \| None \| 60 \| 265.5 row 7 : 14 \| paul tressider \| 23 \| porsche 996 gt3 cup car \| wynn tressider management \| 29 \| 22.5 \| 49 \| None \| None \| 45 \| None \| 43.5 \| 189 row 8 : 16 \| damien flack \| 55 \| porsche 996 gt3 cup car \| roock \| None \| None \| 69 \| 12 \| None \| 54 \| None \| 25.5 \| 160.5 row 9 : 18 \| bill pye \| 44 \| porsche 996 gt3 cup car \| autohaus hamilton property solutions group \| None \| 58.5 \| None \| None \| None \| 39 \| None \| 43.5 \| 141 row 10 : 19 \| anthony skinner \| 46 \| porsche 996 gt3 \| travelplan ski holiday \| 52 \| 18 \| None \| None \| None \| None \| 69 \| None \| 139 row 11 : 20 \| andrew luxton \| 17 & 18 \| porsche 996 gt3 cup car \| luxton plant twigg waste \| None \| None \| None \| None \| None \| 57 \| None \| 66 \| 123 row 12 : 22 \| ian palmer \| 20 \| honda nsx \| instant fountains paluky ho \| 25 \| None \| 33 \| 53 \| None \| None \| None \| None \| 111 row 13 : 24 \| kevin miller \| 2 \| ferrari f430 \| property solutions group \| None \| None \| None \| None \| None \| None \| 63 \| 36 \| 99 row 14 : 26 \| peter hackett \| 5 \| lamborghini diablo gt \| team lamborghini australia \| None \| 91.5 \| None \| None \| None \| None \| None \| None \| 91.5 row 15 : 28 \| graeme cook \| 91 \| porsche 996 gt3 cup car \| container solutions \| 27 \| None \| None \| None \| 58 \| None \| None \| None \| 85 row 16 : 32 \| stuart kostera \| 70 \| porsche 996 gt3 cup car \| phr scuderia \| None \| None \| None \| 73 \| None \| None \| None \| None \| 73 row 17 : 34 \| justin levis \| 78 \| lotus elise motorsport 200 \| cue autohaus hamilton \| None \| 24 \| None \| None \| None \| 39 \| None \| None \| 63 ] Execute this SQL based on the above table: select abs ( ( select rd 2 where driver = 'sven burchartz' ) - ( select rd 2 where driver = 'paul tressider' ) )	4.5
[ header: city served / location \| province \| icao \| iata \| airport name \| usage row 1 : perouges / meximieux \| \| lfhc \| None \| perouges - meximieux aero \| public row 2 : vichy / charmeil \| \| lflv \| vhy \| vichy - charmeil airport \| public row 3 : bar-sur-seine \| \| lffr \| None \| bar-sur-seine aerodrome \| restricted row 4 : 12: aveyron \| \| None \| None \| None \| None row 5 : conde-sur-noireau \| \| lfan \| None \| conde-sur-noireau aerod \| None row 6 : deauville / saint-gatien \| \| lfrg \| dol \| deauville - saint-gatien \| public row 7 : rochefort / saint-a \| \| lfdn \| rco \| rochefort - saint-a \| public/mil row 8 : rochefort / soubis \| \| lfxr \| None \| rochefort - soubis \| None row 9 : figari sud-corse \| \| lfkf \| fsc \| figari sud-corse airport ( \| public row 10 : saint-brieuc / armor \| \| lfrt \| sbk \| saint-brieuc - armor airport \| public row 11 : besancon / thise \| \| lfsa \| None \| besancon - thise airport \| public row 12 : 27: eure \| \| None \| None \| None \| None row 13 : landivisiau \| \| lfrj \| ldv \| landivisiau air base \| military row 14 : nimes / garons \| \| lftw \| fni \| nimes-ales-camargue \| public row 15 : 31: haute-garonne \| \| None \| None \| None \| None row 16 : revel / montgey \| \| lfir \| None \| revel - montgey aerodrome \| restricted row 17 : grenoble / saint-geoir \| \| lfls \| gnb \| grenoble-isere airport \| public row 18 : 44: loire-atlantique \| \| None \| None \| None \| None row 19 : saumur / saint-florent \| \| lfod \| xsu \| saumur - saint-hilaire \| public row 20 : avranches / le val \| \| lfrw \| None \| avranches - le val \| restricted row 21 : nancy / malzeville \| \| lfez \| None \| nancy - malzeville aerod \| restricted row 22 : pont-saint-vincent \| \| lfsv \| None \| pont-saint-vincent aero \| restricted row 23 : lorient / lann / \| \| lfrh \| lrt \| lorient south brittany airport ( \| government row 24 : strasbourg / entzheim \| \| lfst \| sxb \| strasbourg airport (ba 124) \| public/mil row 25 : colmar / houssen \| \| lfga \| cmr \| colmar - houssen airport \| public row 26 : meribel \| \| lfkx \| mfx \| meribel aerodrome \| restricted ] Execute this SQL based on the above table: select count ( iata ) where icao = 440	0
[ header: mlb season \| team season \| league \| division \| finish \| wins \| losses \| win % \| gb \| postseason \| awards row 1 : 1969 \| 1969 \| al \| west \| 6th \| 64 \| 98 \| 0.395 \| 33 \| None \| None row 2 : 1970 \| 1970 \| al \| west \| 4th \| 65 \| 97 \| 0.401 \| 33 \| None \| None row 3 : 1971 \| 1971 \| al \| west \| 6th \| 69 \| 92 \| 0.429 \| 32 \| None \| None row 4 : 1973 \| 1973 \| al \| east \| 5th \| 74 \| 88 \| 0.457 \| 23 \| None \| None row 5 : 1974 \| 1974 \| al \| east \| 5th \| 76 \| 86 \| 0.469 \| 15 \| None \| None row 6 : 1976 \| 1976 \| al \| east \| 6th \| 66 \| 95 \| 0.41 \| 32 \| None \| None row 7 : 1977 \| 1977 \| al \| east \| 6th \| 67 \| 95 \| 0.414 \| 33 \| None \| None row 8 : 1979 \| 1979 \| al \| east \| 2nd \| 95 \| 66 \| 0.59 \| 8 \| None \| None row 9 : 1981 \| 1981 \| al \| east \| 3rd \| 31 \| 25 \| 0.554 \| 3 \| lost alds vs. new york \| rollie fingers (mvp, row 10 : 1981 \| 1981 \| al \| east \| 1st \| 31 \| 22 \| 0.585 \| None \| lost alds vs. new york \| rollie fingers (mvp, row 11 : 1982 \| 1982 \| al \| east \| 1st \| 95 \| 67 \| 0.586 \| None \| won alcs vs. cali \| robin yount (mvp row 12 : 1983 \| 1983 \| al \| east \| 5th \| 87 \| 75 \| 0.537 \| 11 \| None \| cecil cooper (rca) row 13 : 1984 \| 1984 \| al \| east \| 7th \| 67 \| 94 \| 0.416 \| 361⁄2 \| None \| None row 14 : 1988 \| 1988 \| al \| east \| 3rd \| 87 \| 75 \| 0.537 \| 2 \| None \| None row 15 : 1993 \| 1993 \| al \| east \| 7th \| 69 \| 93 \| 0.426 \| 26 \| None \| None row 16 : 1997 \| 1997 \| al \| central \| 3rd \| 78 \| 83 \| 0.484 \| 8 \| None \| None row 17 : 1999 \| 1999 \| nl \| central \| 5th \| 74 \| 87 \| 0.46 \| 221⁄2 \| None \| None row 18 : 2000 \| 2000 \| nl \| central \| 3rd \| 73 \| 89 \| 0.451 \| 22 \| None \| None row 19 : 2001 \| 2001 \| nl \| central \| 4th \| 68 \| 94 \| 0.42 \| 25 \| None \| None row 20 : 2002 \| 2002 \| nl \| central \| 6th \| 56 \| 106 \| 0.346 \| 41 \| None \| None row 21 : 2003 \| 2003 \| nl \| central \| 6th \| 68 \| 94 \| 0.412 \| 20 \| None \| None row 22 : 2004 \| 2004 \| nl \| central \| 6th \| 67 \| 94 \| 0.411 \| 371⁄2 \| None \| None row 23 : 2007 \| 2007 \| nl \| central \| 2nd \| 83 \| 79 \| 0.512 \| 2 \| None \| ryan braun (roy) prince field row 24 : 2008 \| 2008 \| nl \| central \| 2nd \| 90 \| 72 \| 0.556 \| 71⁄2 \| lost nlds vs. \| None row 25 : 2009 \| 2009 \| nl \| central \| 3rd \| 80 \| 82 \| 0.494 \| 11 \| None \| None ] Execute this SQL based on the above table: select league where league in ( 'al' , 'al' ) and division = 'central' order by team season desc limit 1	al
[ header: tie no \| home team \| score \| away team \| attendance row 1 : 1 \| ifk vasteras (d2) \| 3-2 \| ik sleipner (d \| 875 row 2 : 2 \| kramfors if (n) \| 2-4 (aet) \| bk kenty (d3) \| 2808 row 3 : 3 \| reymersholms ik \| 5-2 \| atvidabergs ff (d \| 1504 row 4 : 4 \| wifsta/ostrands if \| 4-3 \| ludvika ffi \| 974 row 5 : 5 \| raa if (d3) \| 3-2 \| sandvikens if (d \| 2116 row 6 : 6 \| sandvikens aik \| 2-3 (aet) \| tidaholms g \| 822 row 7 : 7 \| karlstads bik (d \| 2-5 \| if friska viljor (n) \| 1550 row 8 : 8 \| sandviks ik (n \| 2-3 \| surahammars if (d2) \| None ] Execute this SQL based on the above table: select attendance where away team = 'sandvikens if (d3)'	2116
[ header: institution \| city \| state \| team name \| affiliation \| enrollment \| home conference row 1 : augustana college (illinois) \| rock island \| illinois \| vikings \| private/lutheran \| 2500 \| cciw row 2 : aurora university \| aurora \| illinois \| spartans \| private/non-sectarian \| 1685 \| northern row 3 : beloit college \| beloit \| wisconsin \| buccaneers \| private/non-sectarian \| 1300 \| midwest row 4 : benedictine university \| lisle \| illinois \| eagles \| private/catholic \| 3282 \| northern row 5 : carthage college \| kenosha \| wisconsin \| red men \| private/lutheran \| 2188 \| cciw row 6 : concordia university wisconsin \| mequon \| wisconsin \| falcons \| private/lutheran \| 1608 \| northern row 7 : university of dubuque \| dubuque \| iowa \| spartans \| private/presbyterian \| 1559 \| iiac row 8 : elmhurst college \| elmhurst \| illinois \| bluejays \| private/united church of christ \| 3400 \| cciw row 9 : fontbonne university \| st. louis \| missouri \| griffins \| private/catholic \| 2924 \| sliac row 10 : college of mount st. josep \| cincinnati \| ohio \| lions \| private/catholic \| 1334 \| hcac row 11 : north central college \| naperville \| illinois \| cardinals \| private/methodist \| 2900 \| cciw ] Execute this SQL based on the above table: select institution where institution not null order by id desc limit 1	north central college
[ header: victim(s) \| age \| gender \| date \| type of attack \| location \| details \| source(s) row 1 : daughter of a frontiersman named "bak \| 18 \| ♀ \| summer, 1881 \| defending cows \| northwestern colorado, usa \| encountered a wolf resting on a \| george bird grinnell row 2 : david tobuk \| toddler \| ♂ \| 1900 \| predatory \| koyukuk river, ala \| in the 1920s, tobuk was \| None row 3 : zacarias hugo \| 14 \| ♂ \| 1943 \| possibly rabid \| etivluk river, alaska \| while hunting caribou, zacaria \| None row 4 : pipeline workers \| None \| ♂ \| 1971-1979 \| None \| along the right-of-way for the trans \| there were ten "bites and charges", \| None row 5 : david lawrence \| 7 \| ♂ \| 1976, summer \| prey-testing agonistic charge \| salcha river, alaska, usa \| while his father, roy lawrence, \| None ] Execute this SQL based on the above table: select count ( location ) where gender is null	0
[ header: round \| round \| circuit \| date \| pole position \| fastest lap \| winning driver \| winning team \| winning privateer row 1 : 1 \| r1 \| mantorp park \| 10 may \| mattias ekstrom \| fredrik ekblom \| mats linden \| kristoffersson motorsport \| richard goransson row 2 : 1 \| r2 \| mantorp park \| 10 may \| None \| peggen andersson \| fredrik ekblom \| bmw dealer team \| pontus morth row 3 : 2 \| r3 \| karlskoga-gellera \| 31 may \| jan nilsson \| jan nilsson \| jan nilsson \| flash engineering \| pontus morth row 4 : 2 \| r4 \| karlskoga-gellera \| 31 may \| None \| fredrik ekblom \| peggen andersson \| bmw dealer team \| pontus morth row 5 : 3 \| r5 \| anderstorp \| 28 june \| mattias ekstrom \| fredrik ekblom \| jan nilsson \| flash engineering \| pontus morth row 6 : 3 \| r6 \| anderstorp \| 28 june \| None \| peggen andersson \| peggen andersson \| bmw dealer team \| georg bakajev row 7 : 4 \| r7 \| falkenberg \| 9 july \| jens edman \| jens edman \| jan nilsson \| flash engineering \| pontus morth row 8 : 4 \| r8 \| falkenberg \| 9 july \| None \| mattias ekstrom \| jens edman \| flash engineering \| pontus morth row 9 : 5 \| r9 \| ring knutstorp \| 6 september \| fredrik ekblom \| fredrik ekblom \| fredrik ekblom \| bmw dealer team \| pontus morth row 10 : 5 \| r10 \| ring knutstorp \| 6 september \| None \| mats linden \| jan nilsson \| flash engineering \| georg bakajev row 11 : 6 \| r11 \| mantorp park \| 27 september \| tommy kristoffersson \| fredrik ekblom \| fredrik ekblom \| bmw dealer team \| pontus morth row 12 : 6 \| r12 \| mantorp park \| 27 september \| None \| peggen andersson \| jan nilsson \| flash engineering \| pontus morth ] Execute this SQL based on the above table: select fastest lap where round > ( select round where fastest lap = 'mats linden' ) order by round limit 1657	fredrik ekblom, peggen andersson
[ header: # \| event year \| season \| flag bearer row 1 : 10 \| 2012 \| summer \| nino salukvadze row 2 : 9 \| 2010 \| winter \| iason abramashvili row 3 : 8 \| 2008 \| summer \| ramaz nozadze row 4 : 7 \| 2006 \| winter \| vakhtang murvanidze row 5 : 6 \| 2004 \| summer \| zurab zviadauri row 6 : 5 \| 2002 \| winter \| sofia akhmeteli row 7 : 4 \| 2000 \| summer \| giorgi asanidze row 8 : 3 \| 1998 \| winter \| sofia akhmeteli row 9 : 2 \| 1996 \| summer \| giorgi k'andel row 10 : 1 \| 1994 \| winter \| zurab dzhidzhishvil ] Execute this SQL based on the above table: select count ( season ) where id < ( select id where flag bearer = 'nino salukvadze' )	0
[ header: name of place \| number of counties \| principal county \| lower zip code row 1 : yager junction \| 1 \| humboldt county \| None row 2 : yale \| 1 \| riverside county \| 92544 row 3 : yankee hill \| 1 \| butte county \| 95965 row 4 : yankee hill \| 1 \| tuolumne county \| None row 5 : yankee jims \| 1 \| placer county \| 95713 row 6 : yarmouth \| 1 \| san joaquin county \| None row 7 : yellowjacket \| 1 \| tehama county \| None row 8 : yerba buena island \| 1 \| san francisco county \| None row 9 : yermo \| 1 \| san bernardino county \| 92398 row 10 : yettem \| 1 \| tulare county \| 93670 row 11 : ygnacio valley \| 1 \| contra costa county \| 94598 row 12 : yokohl \| 1 \| tulare county \| None row 13 : yolano \| 1 \| solano county \| 95620 row 14 : yolo \| 1 \| yolo county \| 95697 row 15 : yontocket \| 1 \| del norte county \| None row 16 : yorba \| 1 \| los angeles county \| 91767 row 17 : yorba linda \| 1 \| orange county \| 92686 row 18 : york \| 1 \| los angeles county \| 90050 row 19 : yorkville \| 1 \| mendocino county \| 95494 row 20 : yosemite forks \| 1 \| madera county \| None row 21 : yosemite junction \| 1 \| tuolumne county \| 95389 row 22 : yosemite lakes \| 1 \| madera county \| None row 23 : yosemite lakes park \| 1 \| madera county \| None row 24 : yosemite lodge \| 1 \| mariposa county \| 95389 row 25 : yosemite national park \| 3 \| madera county \| 95389 row 26 : yosemite national park \| 3 \| mariposa county \| 95389 row 27 : yosemite national park \| 3 \| tuolumne county \| 95389 row 28 : yosemite national park \| 1 \| mariposa county \| 95389 row 29 : yosemite valley \| 1 \| mariposa county \| None row 30 : yosemite village \| 1 \| mariposa county \| None row 31 : you bet \| 1 \| nevada county \| None row 32 : youngstown \| 1 \| san joaquin county \| None row 33 : yountville \| 1 \| napa county \| 94599 row 34 : yreka \| 1 \| siskiyou county \| 96097 row 35 : yreka city \| 1 \| siskiyou county \| 96097 row 36 : yuba city \| 1 \| sutter county \| 95991 row 37 : yuba city farm labor center \| 1 \| sutter county \| 95991 row 38 : yuba pass \| 1 \| nevada county \| None row 39 : yuba-sutter area \| 2 \| sutter county yuba county \| None row 40 : yucaipa \| 1 \| san bernardino county \| 92399 row 41 : yucca inn \| 1 \| san bernardino county \| None row 42 : yucca valley \| 1 \| san bernardino county \| 92284 row 43 : yurok indian reservation \| 2 \| del norte county \| 95546 ] Execute this SQL based on the above table: select principal county where name of place != 'yuba-sutter area' and number of counties = ( select number of counties where name of place = 'yuba-sutter area' )	del norte county
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| china (chn) \| 14 \| 10 \| 12 \| 36 row 2 : 2 \| thailand (tha) \| 13 \| 9 \| 6 \| 28 row 3 : 3 \| south korea (kor) \| 6 \| 7 \| 10 \| 23 row 4 : 4 \| indonesia (ina) \| 6 \| 6 \| 4 \| 16 row 5 : 5 \| chinese taipei \| 3 \| 6 \| 6 \| 15 row 6 : 6 \| india (ind) \| 2 \| 0 \| 1 \| 3 row 7 : 7 \| iran (iri) \| 2 \| 0 \| 0 \| 2 row 8 : 8 \| japan (jpn) \| 1 \| 3 \| 2 \| 6 row 9 : 9 \| afghanistan (afg \| 1 \| 0 \| 0 \| 1 row 10 : 9 \| qatar (qat) \| 1 \| 0 \| 0 \| 1 row 11 : 11 \| philippines (phi) \| 0 \| 2 \| 2 \| 4 row 12 : 12 \| vietnam (vie) \| 0 \| 2 \| 1 \| 3 row 13 : 13 \| kazakhstan (kaz) \| 0 \| 1 \| 1 \| 2 row 14 : 13 \| pakistan (pak) \| 0 \| 1 \| 1 \| 2 row 15 : 15 \| bahrain (brn) \| 0 \| 1 \| 0 \| 1 row 16 : 15 \| turkmenistan (tkm) \| 0 \| 1 \| 0 \| 1 row 17 : 17 \| sri lanka (sr \| 0 \| 0 \| 2 \| 2 row 18 : 18 \| bangladesh (ban) \| 0 \| 0 \| 1 \| 1 row 19 : 18 \| brunei (bru) \| 0 \| 0 \| 1 \| 1 row 20 : 18 \| laos (lao) \| 0 \| 0 \| 1 \| 1 row 21 : 18 \| mongolia (mgl) \| 0 \| 0 \| 1 \| 1 row 22 : 18 \| palestine (ple) \| 0 \| 0 \| 1 \| 1 row 23 : 18 \| singapore (sin) \| 0 \| 0 \| 1 \| 1 row 24 : total \| total \| 49 \| 49 \| 54 \| 152 ] Execute this SQL based on the above table: select rank where bronze = 0	7.0, 9.0, 9.0, 15.0, 15.0
[ header: battle, siege, or offensive \| conflict \| dates \| estimated number of americans killed row 1 : meuse-argonne offensive \| world war i \| september 26 to november 11, 1918 \| 26,277 killed row 2 : battle of the bulge \| world war ii \| december 16, 1944 to january \| 19,276 killed row 3 : battle of okinawa \| world war ii \| april 1 to june 21, \| 12,513 killed row 4 : battle of hurtgen forest \| world war ii \| september 19, 1944 to february 10, 1945 \| over 12,000 killed row 5 : battle of gettysburg \| american civil war \| july 1 to july 3, 18 \| 7,863 killed (3,155 union and 4, row 6 : battle of iwo jima \| world war ii \| february 16 to march 26, 1945 \| 7,000 killed row 7 : battle of anzio \| world war ii \| january 22 to june 5, \| 5,538 killed row 8 : battle of pusan perimeter \| korean war \| august to september, 1950 \| 4,599 killed row 9 : battle of spotsylvania \| american civil war \| may 8 to may 21, 1864 \| 4,192 killed (2,725 union and 1, row 10 : battle of chickamauga \| american civil war \| september 19 to september 20, 1863 \| 3,969 killed (1,657 union and row 11 : battle of the wilderness \| american civil war \| may 5 to may 7, 1864 \| 3,741 killed (2,246 union and row 12 : battle of antietam \| american civil war \| september 17, 1862 \| 3,654 killed (2,108 union and 1,5 row 13 : battle of shiloh \| american civil war \| april 6 to april \| 3,482 killed (1,754 union and row 14 : battle of chancellorsville \| american civil war \| april 30 to may 6, 1863 \| 3,271 killed (1,606 union and row 15 : battle of sicily \| world war ii \| july 9 to august 17, 1943 \| 2,572 killed row 16 : pearl harbor attack \| world war ii \| december 7, 1941 \| 2,500 killed row 17 : battle of salerno \| world war ii \| september 3 - september 16, 1943 \| 2,000 killed row 18 : battle of belleau wood \| world war i \| june 1 to june 26, 1918 \| 1,811 killed row 19 : battle of peleliu \| world war ii \| september 15 to november 27, 1944 \| 1,794 killed row 20 : second battle of guam \| world war ii \| july 21 to august 8, 1944 \| 1,747 killed row 21 : battle of tarawa \| world war ii \| november 20 to november 23, 1943 \| 1,677 killed row 22 : d-day (first day of operation over \| world war ii \| june 6, 1944 \| 1,465 killed row 23 : battle of chosin reservoir \| korean war \| november 27 to december 13, 1950 \| 1,029 killed row 24 : battle for manila \| world war ii \| february 3 to march 3, 1945 \| 1,010 killed row 25 : battle of the kasserine pass \| world war ii \| february 19 to february 25, 1943 \| over 1,000 killed row 26 : battle of taejon \| korean war \| july 14 to july 21, 1950 \| 922 killed row 27 : battle of khe sanh \| vietnam war \| 21 january to 8 apri \| 737 killed ] Execute this SQL based on the above table: select count ( * ) where battle, siege, or offensive = 'battle of iwo jima'	1

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input stringlengths 20 5.6k	output stringlengths 0 17.9k
[ header: year \| city \| state, province, dept., etc. \| country \| notes row 1 : 2627 bc \| caral \| norte chico \| peru \| None row 2 : 1200 \| ojinaga \| chihuahua \| mexico \| None row 3 : 1526 \| chimaltenango \| chimaltenango \| guatemala \| None row 4 : 1534 \| spanish town \| saint catherine \| jamaica \| founded by the spanish as santia row 5 : 1535 \| lima \| lima \| peru \| None row 6 : 1546 \| tepezala \| aguascalientes \| mexico \| None row 7 : 1556 \| chalchihuites \| zacatecas \| mexico \| None row 8 : 1561 \| santa cruz de la sierra \| santa cruz \| bolivia \| None row 9 : 1564 \| sao mateus \| espirito santo \| brazil \| None row 10 : 1565 \| saint augustine \| florida \| united states \| oldest continuously inhabited european established settlement in the continental row 11 : 1591 \| juan aldama \| zacatecas \| mexico \| None row 12 : 1635 \| old saybrook \| connecticut \| united states \| original dutch settlement called kievits row 13 : 1638 \| cambridge \| massachusetts \| united states \| None row 14 : 1639 \| bridgeport \| connecticut \| united states \| None row 15 : 1695 \| saint-marc \| artibonite \| haiti \| None row 16 : 1699 \| baton rouge \| louisiana \| united states \| None row 17 : 1714 \| antonina \| parana \| brazil \| None row 18 : 1727 \| pirenopolis \| goias \| brazil \| None row 19 : 1728 \| nuuk \| None \| greenland \| norse colony was originally called godt row 20 : 1730 \| roseau \| saint george \| dominica \| None row 21 : 1743 \| canguaretama \| rio grande do norte \| brazil \| declared vila in 1858; c row 22 : 1762 \| parnaiba \| piaui \| brazil \| None row 23 : 1780 \| codo \| maranhao \| brazil \| declared vila in 1833; c row 24 : 1786 \| frankfort \| kentucky \| united states \| None row 25 : 1810 \| guarapuava \| parana \| brazil \| None row 26 : 1816 \| saginaw \| michigan \| united states \| None row 27 : 1818 \| itaguai \| rio de janeiro \| brazil \| None row 28 : 1819 \| tuscaloosa \| alabama \| united states \| former state capital, grew from former native american row 29 : 1821 \| decatur \| alabama \| united states \| None row 30 : 1839 \| santa rita \| paraiba \| brazil \| declared vila in 1890; c row 31 : 1849 \| provo \| utah \| united states \| None row 32 : 1854 \| anajatuba \| maranhao \| brazil \| None row 33 : 1856 \| lincoln \| nebraska \| united states \| originally called lancaster ] Execute this SQL based on the above table: select count ( * ) where city is null	0
[ header: year \| team \| games \| attempts \| yards \| ypc \| long \| tds row 1 : 1983 \| los angeles rams \| 16 \| 390 \| 1808 \| 4.6 \| 85 \| 18 row 2 : 1984 \| los angeles rams \| 16 \| 379 \| 2105 \| 5.6 \| 66 \| 14 row 3 : 1985 \| los angeles rams \| 14 \| 292 \| 1234 \| 4.2 \| 43 \| 12 row 4 : 1986 \| los angeles rams \| 16 \| 404 \| 1821 \| 4.5 \| 42 \| 11 row 5 : 1987 \| los angeles rams \| 3 \| 60 \| 277 \| 4.6 \| 57 \| 1 row 6 : 1987 \| indianapolis colts \| 9 \| 223 \| 1011 \| 4.5 \| 53 \| 5 row 7 : 1988 \| indianapolis colts \| 16 \| 388 \| 1659 \| 4.3 \| 41 \| 14 row 8 : 1989 \| indianapolis colts \| 15 \| 314 \| 1311 \| 4.2 \| 21 \| 7 row 9 : 1990 \| indianapolis colts \| 11 \| 166 \| 677 \| 4.1 \| 43 \| 4 row 10 : 1991 \| indianapolis colts \| 10 \| 167 \| 536 \| 3.2 \| 28 \| 2 row 11 : 1992 \| los angeles raiders \| 16 \| 187 \| 729 \| 3.9 \| 40 \| 2 row 12 : 1993 \| atlanta falcons \| 4 \| 26 \| 91 \| 3.5 \| 10 \| 0 row 13 : career \| None \| 146 \| 2996 \| 13259 \| 4.4 \| 85 \| 90 ] Execute this SQL based on the above table: select attempts where team = 'los angeles raiders'	187.0
[ header: name \| type \| elevation (ground station) \| elevation (mountain station) \| slope length \| capacity (persons/hour) \| construction year row 1 : fiesch- -alp 1+2 \| cable car \| 1074 \| 2227 \| 2940 \| 800 \| 1973 row 2 : fiesch- -alp 3+4 \| cable car \| 1071 \| 2221 \| 2937 \| 270 \| 1966 row 3 : fiescheralp-eggishorn \| cable car \| 2225 \| 2879 \| 1836 \| 495 \| 1968 row 4 : heimat \| chairlift \| 1858 \| 2301 \| 1144 \| 1400 \| 2000 row 5 : talegga \| chairlift \| 2208 \| 2727 \| 1782 \| 2200 \| 2010 row 6 : flesch \| chairlift \| 2208 \| 2630 \| 1357 \| 2400 \| 1993 row 7 : trainer 1 \| surface lift \| 2206 \| 2264 \| 218 \| 1200 \| 1987 row 8 : trainer 2 \| surface lift \| 2206 \| 2264 \| 218 \| 1200 \| 1987 row 9 : laxeralp 1 \| surface lift \| 2135 \| 2179 \| 396 \| 1100 \| 1981 row 10 : laxeralp 2 \| surface lift \| 2179 \| 2280 \| 394 \| 1214 \| 1981 ] Execute this SQL based on the above table: select name where id = ( select id where name = 'laxeralp 1' ) + 1	laxeralp 2
[ header: date \| opponent# \| rank# \| site \| tv \| result \| attendance row 1 : 9-4-2010 \| miami (oh) \| #4 \| ben hill griffin stadium • gaine \| espn \| w 34-12 \| 90178 row 2 : 9-11-2010 \| south florida \| #8 \| ben hill griffin stadium • gaine \| secn \| w 38-14 \| 90612 row 3 : 9-18-2010 \| at tennessee \| #10 \| neyland stadium • knoxville \| cbs \| w 31-17 \| 102455 row 4 : 9-25-2010 \| kentucky \| #9 \| ben hill griffin stadium • gaine \| espnu \| w 48-14 \| 90547 row 5 : 10-2-2010 \| at #1 alabama \| #7 \| bryant-denny stadium • \| cbs \| l 6-31 \| 101821 row 6 : 10-9-2010 \| #12 lsu \| #14 \| ben hill griffin stadium • gaine \| espn \| l 29-33 \| 90721 row 7 : 10-16-2010 \| mississippi state \| #22 \| ben hill griffin stadium • gaine \| espnu \| l 7-10 \| 90517 row 8 : 10-30-2010 \| vs. georgia \| None \| everbank field • jacksonville, \| cbs \| w 34-31 ot \| 84444 row 9 : 11-6-2010 \| at vanderbilt \| None \| vanderbilt stadium • nashville \| secn \| w 55-14 \| 33848 row 10 : 11-13-2010 \| #22 south carolina \| #24 \| ben hill griffin stadium • gaine \| espn \| l 14-36 \| 90885 row 11 : 11-20-2010 \| appalachian state \| None \| ben hill griffin stadium • gaine \| espn3 \| w 48-10 \| 90119 row 12 : 11-27-2010 \| at #22 florida state \| None \| doak campbell stadium • tallahasse \| abc \| l 7-31 \| 82324 row 13 : 1-1-2011 \| vs. penn state \| None \| raymond james stadium • t \| abc \| w 37-24 \| 60574 ] Execute this SQL based on the above table: select count ( * )	13
[ header: property \| test method \| units \| 4275 \| 4301 \| 4435 \| 4630 \| 4645 row 1 : tensile strength \| astm d 638 \| mpa (kpsi) \| 117 (16.9) \| 113 (16.4) \| 94 (13.6) \| 81 (11.8) \| 114 (16.6) row 2 : tensile modulus \| astm d 638 \| gpa (kpsi) \| 8.8 (1,280) \| 6.8 (990) \| 14.5 (2,100) \| 7.4 (1,080) \| 18.6 (2,700) row 3 : tensile elongation \| astm d 638 \| % \| 2.6 \| 3.3 \| 1 \| 1.9 \| 0.8 row 4 : flexural strength \| astm d 790 \| mpa (kpsi) \| 208 (30.2) \| 215 (31.2) \| 152 (22.0) \| 131 (19.0) \| 154 (22.4) row 5 : flexural modulus \| astm d 790 \| gpa (kpsi) \| 7.3 (1.060) \| 6.9 (1,000) \| 14.8 (2,150) \| 6.8 (990) \| 12.4 (1,800) row 6 : compressive strength \| astm d 695 \| mpa (kpsi) \| 123 (17.8) \| 166 (24.1) \| 138 (20.0) \| 99 (14.4) \| 157 (22.8) row 7 : izod impact strength, notched \| astm d 256 \| j/m (ft-lb \| 85 (1.6) \| 64 (1.2) \| 43 (0.8) \| 48 (0.9) \| 37 (0.7) row 8 : izod impact strength, unnotched \| astm d 4812 \| j/m (ft-lb \| 270 (5) \| 430 (8) \| 210 (4) \| 160 (3) \| 110 (2) row 9 : heat deflection temperature at 264 p \| astm d 648 \| °c (°f) \| 280 (536) \| 279 (534) \| 278 (532) \| 280 (536) \| 281 (538) row 10 : coefficient linear thermal expansion \| astm d 696 \| ppm/°c (ppm/ \| 25 (14) \| 25 (14) \| 14 (8) \| 16 (9) \| 9 (3) ] Execute this SQL based on the above table: select count ( property ) where units = 8	0
[ header: year \| tournament \| venue \| result \| rank \| event row 1 : 1993 \| world championships \| stuttgart, germany \| 7911 \| 12th \| decathlon row 2 : 1993 \| universiade \| buffalo, united states \| 7864 \| 2nd \| decathlon row 3 : 1994 \| european indoor championships \| paris, france \| 5888 \| 7th \| heptathlon row 4 : 1994 \| hypo-meeting \| gotzis, austria \| 7779 \| 18th \| decathlon row 5 : 1994 \| european championships \| helsinki, finland \| 7272 \| 20th \| decathlon row 6 : 1995 \| hypo-meeting \| gotzis, austria \| 8041 \| 12th \| decathlon row 7 : 1995 \| universiade \| fukuoka, japan \| 7943 \| 5th \| decathlon row 8 : 1995 \| world championships \| gothenburg, sweden \| 8042 \| 11th \| decathlon row 9 : 1996 \| olympic games \| atlanta, usa \| None \| dnf \| decathlon row 10 : 1997 \| world championships \| athens, greece \| 8140 \| 11th \| decathlon row 11 : 1998 \| european indoor championships \| valencia, spain \| 6055 (pb) \| 7th \| heptathlon row 12 : 1998 \| hypo-meeting \| gotzis, austria \| 8179 (pb) \| 9th \| decathlon row 13 : 1999 \| hypo-meeting \| gotzis, austria \| 7925 \| 10th \| decathlon row 14 : 1999 \| world championships \| seville, spain \| 7851 \| 12th \| decathlon row 15 : 2000 \| hypo-meeting \| gotzis, austria \| 7876 \| 16th \| decathlon row 16 : 2000 \| olympic games \| sydney, australia \| 7932 \| 17th \| decathlon ] Execute this SQL based on the above table: select ( select year where rank = '20th' ) > ( select year where rank = '7th' )	0
[ header: constituency \| region \| name \| party \| last elected row 1 : 1 \| arica and parinacota tarapac \| fulvio rossi \| ps \| 2009 row 2 : 2 \| antofagasta \| carlos cantero ojeda \| ind \| 2005 row 3 : 2 \| antofagasta \| jose antonio gomez \| prsd \| 2005 row 4 : 3 \| atacama \| isabel allende \| ps \| 2009 row 5 : 4 \| coquimbo \| gonzalo uriarte \| udi \| 2005 row 6 : 5 \| valparaiso \| ignacio walker \| pdc \| 2009 row 7 : 5 \| valparaiso \| lily perez \| rn \| 2009 row 8 : 6 \| valparaiso \| ricardo l. weber \| ppd \| 2009 row 9 : 6 \| valparaiso \| francisco chahuan \| rn \| 2009 row 10 : 7 \| santiago \| jovino novoa vasque \| udi \| 2005 row 11 : 8 \| santiago \| soledad alvear valenzue \| pdc \| 2005 row 12 : 9 \| o'higgins \| alejandro garcia-huidobro \| udi \| 2005 row 13 : 9 \| o'higgins \| juan pablo letelier morel \| ps \| 2005 row 14 : 10 \| maule \| ximena rincon \| pdc \| 2009 row 15 : 10 \| maule \| juan antonio colo \| udi \| 2009 row 16 : 11 \| maule \| hernan larrain fernandez \| udi \| 2009 row 17 : 12 \| biobio \| hosain sabag castill \| pdc \| 2005 row 18 : 13 \| biobio \| mariano ruiz-es \| pdc \| 2005 row 19 : 14 \| araucania \| jaime quintana \| ppd \| 2009 row 20 : 14 \| araucania \| alberto espina otero \| rn \| 2009 row 21 : 15 \| araucania \| eugenio tuma \| ppd \| 2009 row 22 : 15 \| araucania \| jose garcia ruminot \| rn \| 2009 row 23 : 16 \| los rios (plus district 55) \| carlos larrain pena \| rn \| 2005 row 24 : 16 \| los rios (plus district 55) \| eduardo frei rui \| pdc \| 2005 row 25 : 17 \| los lagos (minus district 55) \| camilo escalona medin \| ps \| 2005 row 26 : 17 \| los lagos (minus district 55) \| carlos kuschel silva \| rn \| 2005 row 27 : 18 \| aisen \| patricio walker \| pdc \| 2009 row 28 : 18 \| aisen \| antonio horvath \| rn \| 2001 row 29 : 19 \| magallanes \| carlos bianchi chelech (vic \| ind \| 2005 row 30 : 19 \| magallanes \| pedro munoz abur \| ps \| 2005 ] Execute this SQL based on the above table: select count ( * ) where party = 'pdc'	7
[ header: name \| lifetime \| nationality \| notable as \| notes row 1 : jacques d'adelsward- \| 1880-1923 \| french \| aristocrat and writer \| g row 2 : charles coypeau d' \| 1605-1677 \| french \| musician and burlesque poet \| g row 3 : jeffrey dahmer \| 1960-1994 \| american \| serial killer \| g row 4 : matt dallas \| b. 1982 \| american \| actor \| g row 5 : joe dallesandro \| b. 1948 \| american \| actor \| b row 6 : alain danielou \| 1907-1994 \| french \| academic, hindu convert \| g row 7 : ben daniels \| b. 1964 \| english \| actor \| g row 8 : jason danino-holt \| b. 1987 \| israeli \| television personality \| g row 9 : martin dannecker \| b. 1942 \| german \| sexologist, writer \| g row 10 : brian dannelly \| b. ? \| american \| film director \| g row 11 : charlie david \| b. 1980 \| canadian \| actor \| g row 12 : dave davies \| b. 1947 \| english \| musician \| b row 13 : russell t davies \| b. 1963 \| british \| television producer and writer \| g row 14 : terence davies \| b. 1945 \| english \| filmmaker \| g row 15 : angela davis \| b. 1944 \| american \| activist \| l row 16 : richard deacon \| 1921-1984 \| american \| actor \| g row 17 : mercedes de acosta \| 1893-1968 \| american \| writer, socialite \| l row 18 : andreas deja \| b. 1957 \| german \| animator \| g row 19 : casey dellacqua \| b. 1985 \| australian \| tennis player \| l row 20 : robert denning \| 1927-2005 \| american \| interior designer \| g row 21 : felipa de souza \| 1556-1600 \| brazilian \| None \| l row 22 : marlene dietrich \| 1901-1992 \| german \| actor \| b row 23 : kristian digby \| 1977-2010 \| british \| television presenter and director \| g row 24 : divine \| 1945-1988 \| american \| actor, drag performer \| g row 25 : jess dobkin \| b. 1970 \| canadian \| performance artist \| l row 26 : domenico dolce \| b. 1958 \| italian \| fashion designer, dolce & gabban \| g row 27 : savannah dooley \| b. 1985 \| american \| screenwriter \| l row 28 : kyan douglas \| b. 1970 \| american \| reality show host \| g row 29 : orville lloyd douglas \| b. 1976 \| canadian \| writer \| g row 30 : karla drenner \| b. 1961 \| american \| politician, academic \| l row 31 : donna dresch \| b. ? \| american \| rock musician \| l row 32 : james dreyfus \| b. 1968 \| english \| actor \| g row 33 : nancy drolet \| b. 1973 \| canadian \| ice hockey player \| l row 34 : carol ann duffy \| b. 1955 \| scottish \| poet \| l row 35 : daphne du maurier \| 1907-1989 \| english \| author \| b row 36 : eric durchholz \| b. 1972 \| american \| author \| g ] Execute this SQL based on the above table: select notes order by lifetime desc limit 1	g
[ header: # \| menteri besar \| took office \| left office \| party row 1 : 1 \| jaafar mohamed \| 1886 \| july 1890 \| no party row 2 : 2 \| mohamed mahbob \| june 1920 \| 1922 \| no party row 3 : 3 \| abdullah jaafar \| september 1923 \| 1928 \| no party row 4 : 4 \| mustapha jaafar \| september 16, 1928 \| november 23, 1931 \| no party row 5 : 5 \| abdul hamid yusof \| november 23, 1931 \| december 28, 1934 \| no party row 6 : 6 \| ungku abdul aziz abd \| april 1935 \| june 1, 1947 \| no party row 7 : 7 \| onn jaafar \| june 1, 1947 \| may 18, 1950 \| no party row 8 : 8 \| syed abdul kadir mo \| february 18, 1952 \| june 5, 1955 \| no party row 9 : 9 \| wan idris ibra \| october 1, 1955 \| august 31, 1957 \| no party ] Execute this SQL based on the above table: select left office where id = ( select id where left office = 'december 28, 1934' ) - 1	november 23, 1931
[ header: station complex \| individual stations \| lines \| services \| notes row 1 : 42nd street / fifth avenue - br \| fifth avenue \| irt flushing line \| 7 <7> \| a paper transfer was added between the ind row 2 : 50th street \| upper level \| ind eighth avenue line \| a c \| the station became a transfer station when the queen row 3 : lexington avenue / 51st \| 51st street \| irt lexington avenue line \| 4 6 <6> \| a passageway connects these two stations on row 4 : seventh avenue \| cross-platform interchange on two levels \| ind sixth avenue line \| b d \| the station became a transfer station when the sixth row 5 : 59th street - columbus circle \| 59th street - columbus circle \| irt broadway - seventh avenue \| 1 2 \| the irt broadway - seventh row 6 : 59th street - columbus circle \| 59th street - columbus circle \| ind eighth avenue line \| a b c d \| the irt broadway - seventh row 7 : lexington avenue / 59th- \| 59th street \| irt lexington avenue line \| 4 5 6 <6> \| the passageways between the broadway line and the row 8 : 168th street \| 168th street \| irt broadway - seventh avenue \| 1 \| at the crossing of the irt broad ] Execute this SQL based on the above table: select count ( * )	8
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| russia \| 7 \| 3 \| 0 \| 10 row 2 : 2 \| italy \| 1 \| 3 \| 0 \| 4 row 3 : 3 \| france \| 1 \| 1 \| 2 \| 4 row 4 : 4 \| austria \| 1 \| 1 \| 0 \| 2 row 5 : 4 \| germany \| 1 \| 1 \| 0 \| 2 row 6 : 4 \| iran \| 1 \| 1 \| 0 \| 2 row 7 : 4 \| israel \| 1 \| 1 \| 0 \| 2 row 8 : 8 \| poland \| 1 \| 0 \| 5 \| 6 row 9 : 9 \| netherlands \| 1 \| 0 \| 1 \| 2 row 10 : 9 \| romania \| 1 \| 0 \| 1 \| 2 row 11 : 11 \| belgium \| 1 \| 0 \| 0 \| 1 row 12 : 11 \| mexico \| 1 \| 0 \| 0 \| 1 row 13 : 13 \| spain \| 0 \| 2 \| 0 \| 2 row 14 : 14 \| sweden \| 0 \| 1 \| 3 \| 4 row 15 : 15 \| colombia \| 0 \| 1 \| 1 \| 2 row 16 : 15 \| ukraine \| 0 \| 1 \| 1 \| 2 row 17 : 17 \| denmark \| 0 \| 1 \| 0 \| 1 row 18 : 17 \| switzerland \| 0 \| 1 \| 0 \| 1 row 19 : 19 \| algeria \| 0 \| 0 \| 1 \| 1 row 20 : 19 \| greece \| 0 \| 0 \| 1 \| 1 row 21 : 19 \| kazakhstan \| 0 \| 0 \| 1 \| 1 row 22 : 19 \| slovenia \| 0 \| 0 \| 1 \| 1 row 23 : total \| total \| 18 \| 18 \| 18 \| 54 ] Execute this SQL based on the above table: select nation where silver = 1 and silver = 1	france, austria, germany, iran, israel, sweden, colombia, ukraine, denmark, switzerland
[ header: rank \| area \| date \| presenter \| seven wonders covered row 1 : 1 \| south west \| 3 may \| samantha smith \| dartmoor, jurassic coast, row 2 : 2 \| yorkshire & lincolnshire \| 9 may \| paul hudson \| malham cove, the three peaks, row 3 : 3 \| london \| 16 may \| bill oddie \| islands in the river thames, the row 4 : 4 \| the north \| 23 may \| chris jackson \| lake district, river wear, whin sill row 5 : 5 \| the south \| 30 may \| aubrey manning \| the needles, lulworth cove row 6 : 6 \| the midlands \| 6 june \| dominic heale \| kinder scout, dovedale row 7 : 7 \| the west country \| 17 june \| amanda parr \| avebury, symonds row 8 : 8 \| south east \| 22 june \| kaddy lee-preston \| white cliffs of dover, seven sisters ] Execute this SQL based on the above table: select rank group by rank order by count ( * ) desc limit 1	8
[ header: year \| title \| album \| uk \| b-sides row 1 : 2004 \| "kim wilde" (download-only) \| grey will fade \| None \| None row 2 : 2004 \| "summer" \| grey will fade \| 31 \| commodore; smut row 3 : 2005 \| "bastardo" \| grey will fade \| 31 \| 3 minutes; i am a kamera row 4 : 2006 \| "behave" \| the deep blue \| 168 \| mr. ed; cou row 5 : 2007 \| "i want you to know" \| the deep blue \| 108 \| sister universe; suspiria row 6 : 2007 \| "siberia" \| the deep blue \| None \| last night; this is pop; i don row 7 : 2007 \| "again" \| the deep blue \| None \| again (acoustic) row 8 : 2007 \| "ch v fd (deep blue \| non-album single \| None \| dawn treader (fredmix); it is row 9 : 2009 \| "white" \| new worlds \| None \| white (squarepusher remix); white (a row 10 : 2009 \| "alexander" \| new worlds \| None \| alexander (radio edit); alex ] Execute this SQL based on the above table: select year where title = '"kim wilde" (download-only)'	2004
[ header: township \| fips \| population center \| population \| population density (/mi2) \| population density (/km2) \| land area (mi2) \| land area (km2) \| water area (mi2) \| water area (km2) \| geographic coordinates row 1 : center \| 90735 \| None \| 515 \| 36.8 \| 14.2 \| 13.99 \| 36.23 \| 0.0339 \| 0.0878 \| 35°24′20′′n 92° row 2 : clark \| 90813 \| london \| 2969 \| 115.3 \| 44.6 \| 25.73 \| 66.64 \| 6.0444 \| 15.6549 \| 35°19′45′′n 93° row 3 : convenience \| 90921 \| None \| 933 \| 50.4 \| 19.4 \| 18.53 \| 47.99 \| 0.0942 \| 0.244 \| 35°20′00′′n 92° row 4 : dover \| 91134 \| dover \| 5277 \| 119.1 \| 46 \| 44.29 \| 114.7 \| 0.3637 \| 0.942 \| 35°23′30′′n 93° row 5 : freeman \| 91377 \| None \| 98 \| 0.8 \| 0.3 \| 119.78 \| 310.2 \| 0 \| 0 \| 35°39′10′′n 93° row 6 : galla \| 91407 \| pottsville \| 3523 \| 88.7 \| 34.3 \| 39.71 \| 102.8 \| 1.841 \| 4.7682 \| 35°13′15′′n 93° row 7 : griffin \| 91536 \| None \| 901 \| 26.5 \| 10.2 \| 33.96 \| 87.96 \| 0.1106 \| 0.2865 \| 35°25′30′′n 92° row 8 : illinois \| 91812 \| russellville \| 25841 \| 540.9 \| 208.9 \| 47.77 \| 123.7 \| 6.6022 \| 17.0996 \| 35°17′00′′n 93° row 9 : liberty \| 92181 \| None \| 805 \| 14.2 \| 5.5 \| 56.64 \| 146.7 \| 0.0028 \| 0.0073 \| 35°29′40′′n 93° row 10 : martin \| 92415 \| None \| 1482 \| 23.7 \| 9.2 \| 62.46 \| 161.8 \| 0.3931 \| 1.0181 \| 35°28′25′′n 93° row 11 : phoenix \| 92871 \| None \| 334 \| 26.7 \| 10.3 \| 12.51 \| 32.4 \| 0 \| 0 \| 35°24′30′′n 93° row 12 : smyrna \| 93420 \| None \| 173 \| 2.4 \| 0.9 \| 70.69 \| 183.1 \| 0.0218 \| 0.0565 \| 35°38′10′′n 92° row 13 : valley \| 93765 \| None \| 2776 \| 125.7 \| 48.5 \| 22.09 \| 57.21 \| 0.0144 \| 0.0373 \| 35°20′05′′n 93° ] Execute this SQL based on the above table: select population where geographic coordinates = '35°20′00′′n 92°56′41′′w / 35.33333°n 92.94472°w'	933
[ header: district \| name \| party \| district office \| first elected row 1 : 1 \| a.g. crowe \| rep \| slidell \| 2007 row 2 : 2 \| troy brown \| dem \| napoleonville \| 2011 row 3 : 3 \| j.p. morrell \| dem \| new orleans \| 2008 row 4 : 4 \| ed murray \| dem \| new orleans \| 2005 row 5 : 5 \| karen carter peterson \| dem \| new orleans \| 2010 row 6 : 6 \| bodi white \| rep \| baton rouge \| 2011 row 7 : 7 \| david heitmeier \| dem \| new orleans \| 2007 row 8 : 8 \| john alario \| rep \| westwego \| 2007 row 9 : 9 \| conrad appel \| rep \| metairie \| 2008 row 10 : 10 \| daniel martiny \| rep \| metairie \| 2007 row 11 : 11 \| jack donahue \| rep \| mandeville \| 2007 row 12 : 12 \| ben nevers \| dem \| bogalusa \| 2003 row 13 : 13 \| dale m. erdey \| rep \| livingston \| 2007 row 14 : 14 \| yvonne dorsey- \| dem \| baton rouge \| 2007 row 15 : 15 \| sharon weston broome \| dem \| baton rouge \| 2004 row 16 : 16 \| dan claitor \| rep \| baton rouge \| 2009 row 17 : 17 \| rick ward, iii \| rep \| port allen \| 2011 row 18 : 18 \| jody amedee \| rep \| gonzales \| 2003 row 19 : 19 \| gary smith, jr \| dem \| norco \| 2011 row 20 : 20 \| norby chabert \| rep \| houma \| 2009 row 21 : 21 \| bret allain \| rep \| franklin \| 2011 row 22 : 22 \| fred h. mills, \| rep \| new iberia \| 2011 row 23 : 23 \| page cortez \| rep \| lafayette \| 2011 row 24 : 24 \| elbert guillory \| rep \| opelousas \| 2009 row 25 : 25 \| dan "blade" morrish \| rep \| jennings \| 2007 row 26 : 26 \| jonathan perry \| rep \| kaplan \| 2011 row 27 : 27 \| ronnie johns \| rep \| lake charles \| 2011 row 28 : 28 \| eric lafleur \| dem \| ville platte \| 2007 row 29 : 29 \| rick gallot \| dem \| ruston \| 2011 row 30 : 30 \| john r. smith \| rep \| leesville \| 2007 row 31 : 31 \| gerald long \| rep \| winnfield \| 2007 row 32 : 32 \| neil riser \| rep \| columbia \| 2007 row 33 : 33 \| mike walsworth \| rep \| west monroe \| 2007 row 34 : 34 \| francis c. thomp \| dem \| delhi \| 2007 row 35 : 35 \| robert kostelka \| rep \| monroe \| 2003 row 36 : 36 \| robert adley \| rep \| benton \| 2003 row 37 : 37 \| barrow peacock \| rep \| bossier \| 2011 row 38 : 38 \| sherri smith buffington \| rep \| keithville \| 2003 row 39 : 39 \| gregory tarver \| dem \| shreveport \| 2011 ] Execute this SQL based on the above table: select count ( * ) where party = party	39
[ header: # \| title \| featured guest(s) \| producer(s) \| length row 1 : 1 \| "intro (skit)" \| None \| None \| 1:50 row 2 : 2 \| "zero" \| None \| lewis parker \| 4:01 row 3 : 3 \| "it's murda" \| None \| harry love \| 5:01 row 4 : 4 \| "jankrowville" \| None \| l. dolo \| 5:26 row 5 : 5 \| "parrowdice" \| kyza and skriblah \| harry love \| 5:52 row 6 : 6 \| "b 4 u die" \| kyza and skriblah \| joe buhdha \| 4:09 row 7 : 7 \| "all i got" \| None \| joe buhdha \| 4:00 row 8 : 8 \| "black rose" \| None \| joe buhdha \| 4:04 row 9 : 9 \| "lynching (skit)" \| None \| None \| 1:12 row 10 : 10 \| "our time" \| None \| lewis parker \| 3:56 row 11 : 11 \| "terra firma anthum (skit \| None \| None \| 0:52 row 12 : 12 \| "daggo mentality" \| None \| lewis parker \| 4:01 row 13 : 13 \| "neighbour (skit)" \| None \| None \| 0:46 row 14 : 14 \| "son of niah" \| None \| ac.war.ion \| 4:54 ] Execute this SQL based on the above table: select count ( title )	14
[ header: capacitor type \| capacity \| volts \| temp. \| energy-to-weight ratio \| power-to-weight ratio row 1 : act premlis lithium ion capacitor \| 2000 f \| 4.0 v \| 25 °c \| 54 kj/kg to 2.0 v \| 44.4 w/kg @ 5 a row 2 : act premlis lithium ion capacitor \| 2000 f \| 4.0 v \| 25 °c \| 31 kj/kg to 2.0 v \| 850 w/kg @ 10 a row 3 : nesccap electric double-layer capacitor \| 5000 f \| 2.7 v \| 25 °c \| 19.58 kj/kg to 1.35 \| 5.44 w/kg c/1 ( row 4 : nesccap electric double-layer capacitor \| 5000 f \| 2.7 v \| 25 °c \| 5.2 kj/kg to 1.35 \| 5,200 w/kg @ 2,547 row 5 : eestor eesu bar \| 30.693 f \| 3500 v \| 85 °c \| 1471.98 kj/kg \| 80.35 w/kg c/5 row 6 : eestor eesu bar \| 30.693 f \| 3500 v \| 85 °c \| 1471.98 kj/kg \| 8,035 w∕kg 20 c row 7 : general atomics 3330cmx22 \| 20.5 mf \| 3300 v \| None \| 2.3 kj/kg \| 6.8 mw/kg @ 100 ] Execute this SQL based on the above table: select count ( energy-to-weight ratio ) where capacitor type = 1353	0
[ header: pick \| player \| country of origin \| pba team \| college row 1 : 1 \| danilo ildefons \| philippines \| formula shell zoom masters \| national row 2 : 2 \| noy castillo \| united states \| san miguel beermen \| the citadel row 3 : 3 \| ali peek \| united states \| pop cola 800s \| saint mary row 4 : 4 \| brixter encarnacion \| philippines \| pop cola 800s \| san sebastian row 5 : 5 \| william antonio \| united states \| san miguel beermen \| chaminade university row 6 : 6 \| banjo calpito \| philippines \| sta. lucia realtors \| san sebastian row 7 : 7 \| henry fernandez \| philippines \| purefoods carne norte beefies \| visayas row 8 : 8 \| steven smith \| united states \| gordon's gin boar \| united states international university ] Execute this SQL based on the above table: select pick where player = 'henry fernandez'	7
[ header: year \| single \| chart \| position row 1 : 1986 \| "best of both worlds" \| album rock tracks \| 12 row 2 : 1986 \| "dreams" \| album rock tracks \| 6 row 3 : 1986 \| "dreams" \| billboard hot 100 \| 22 row 4 : 1986 \| "love walks in" \| album rock tracks \| 4 row 5 : 1986 \| "love walks in" \| billboard hot 100 \| 22 row 6 : 1986 \| "summer nights" \| album rock tracks \| 33 row 7 : 1986 \| "why can't this be love" \| album rock tracks \| 1 row 8 : 1986 \| "why can't this be love" \| billboard hot 100 \| 3 ] Execute this SQL based on the above table: select chart where chart = 'album rock tracks' and chart in ( 'album rock tracks' , 'billboard hot 100' )	album rock tracks, album rock tracks, album rock tracks, album rock tracks, album rock tracks
[ header: place \| code \| area (km2) \| population \| most spoken language row 1 : beatrix mine \| 40701 \| 0.17 \| 2492 \| sotho row 2 : boipatong \| 40702 \| 0.31 \| 1501 \| sotho row 3 : brandfort \| 40703 \| 3.2 \| 1516 \| afrikaans row 4 : fora \| 40704 \| 0.05 \| 530 \| sotho row 5 : ikgomotseng \| 40705 \| 1.07 \| 2254 \| tswana row 6 : joel mine \| 40706 \| 0.11 \| 728 \| sotho row 7 : lusaka \| 40707 \| 1.4 \| 6110 \| sotho row 8 : majwemasweu \| 40708 \| 2.5 \| 10328 \| sotho row 9 : makeleketla \| 40709 \| 1.35 \| 6629 \| sotho row 10 : masilo \| 40710 \| 3.02 \| 14903 \| sotho row 11 : star diamond mine \| 40712 \| 0.11 \| 212 \| sotho row 12 : theunissen \| 40713 \| 15.11 \| 1667 \| afrikaans row 13 : tshepong \| 40714 \| 0.54 \| 1710 \| sotho row 14 : verkeerdevlei \| 40715 \| 1.22 \| 151 \| afrikaans row 15 : winburg \| 40716 \| 70.22 \| 3371 \| sotho row 16 : remainder of the municipality \| 40711 \| 6696.44 \| 10304 \| sotho ] Execute this SQL based on the above table: select ( select population where most spoken language = 'sotho' ) <= 514	0
[ header: language \| number \| percentage (%) \| males \| females row 1 : polish \| 447685 \| 80.86 \| 216794 \| 230891 row 2 : yiddish \| 51215 \| 9.25 \| 24538 \| 26677 row 3 : german \| 35931 \| 6.49 \| 17409 \| 18522 row 4 : russian \| 15137 \| 2.73 \| 13551 \| 1586 row 5 : ukrainian \| 2350 \| 0.42 \| 2302 \| 48 row 6 : other \| 1285 \| 0.23 \| 1041 \| 244 row 7 : persons that didn't name their native language \| 27 \| >0.01 \| 14 \| 13 row 8 : total \| 553633 \| 100 \| 275652 \| 277981 ] Execute this SQL based on the above table: select males where language = 'yiddish'	24538
[ header: place \| team \| matches \| won \| drawn \| lost \| difference \| points row 1 : 1 \| canada \| 6 \| 6 \| 0 \| 0 \| 62-6 \| 12 row 2 : 2 \| sweden \| 6 \| 4 \| 1 \| 1 \| 33-14 \| 9 row 3 : 3 \| switzerland \| 6 \| 4 \| 1 \| 1 \| 28-12 \| 9 row 4 : 4 \| norway \| 6 \| 2 \| 0 \| 4 \| 10-27 \| 4 row 5 : 5 \| great britain \| 6 \| 1 \| 1 \| 4 \| 18-42 \| 3 row 6 : 6 \| united states \| 6 \| 1 \| 1 \| 4 \| 14-42 \| 3 row 7 : 7 \| finland \| 6 \| 1 \| 0 \| 5 \| 15-37 \| 2 ] Execute this SQL based on the above table: select team group by difference order by count ( * ) desc limit 1	canada
[ header: rank \| athlete \| ski time \| penalties p+s+p+s \| total row 1 : None \| zhang qing (chn) \| 59:53.2 \| 1+1+0+1 \| 1:02:53.2 row 2 : None \| dmitriy pozdn \| 1:01:01.0 \| 0+2+0+0 \| 1:03:01.0 row 3 : None \| dmitriy pantov ( \| 59:24.8 \| 1+2+0+1 \| 1:03:24.8 row 4 : 4 \| hideki yamamoto (jpn) \| 1:02:55.5 \| 0+1+3+0 \| 1:06:55.5 row 5 : 5 \| qiu lianhai (ch \| 1:03:18.9 \| 1+1+0+2 \| 1:07:18.9 row 6 : 6 \| shin byung-gook (kor \| 1:02:49.3 \| 1+2+1+1 \| 1:07:49.3 row 7 : 7 \| son hae-kwon (kor) \| 1:02:58.3 \| 1+1+2+1 \| 1:07:58.3 row 8 : 8 \| wang xin (chn) \| 1:04:42.4 \| 2+1+1+1 \| 1:09:42.4 row 9 : 9 \| naoki shindo \| 1:03:08.5 \| 3+1+0+3 \| 1:10:08.5 row 10 : 9 \| jeon jae-won (kor) \| 1:02:08.5 \| 2+2+2+2 \| 1:10:08.5 row 11 : 11 \| alexey karevskiy ( \| 1:03:28.8 \| 3+1+1+2 \| 1:10:28.8 row 12 : 12 \| sergey abdukarov (kaz \| 1:05:11.4 \| 1+2+1+3 \| 1:12:11.4 row 13 : 13 \| takashi shindo ( \| 1:01:15.0 \| 3+3+2+4 \| 1:13:15.0 row 14 : 14 \| shinji ebisawa (jp \| 1:04:13.6 \| 3+3+1+3 \| 1:14:13.6 row 15 : 15 \| choi neung-chul \| 1:08:50.6 \| 3+2+0+1 \| 1:14:50.6 row 16 : 16 \| byamba enkh-amgalan \| 1:15:20.4 \| 4+5+2+2 \| 1:28:20.4 ] Execute this SQL based on the above table: select athlete order by total desc limit 1	zhang qing (chn)
[ header: pump type and source \| typical use \| 35 °c (e.g. heated screed floor) \| 45 °c (e.g. heated screed floor) \| 55 °c (e.g. heated timber floor) \| 65 °c (e.g. radiator or dhw) \| 75 °c (e.g. radiator and dhw) \| 85 °c (e.g. radiator and dhw) row 1 : high-efficiency air source heat pump (ashp \| None \| 2.2 \| 2 \| None \| None \| None \| None row 2 : two-stage ashp, air at \| low source temperature \| 2.4 \| 2.2 \| 1.9 \| None \| None \| None row 3 : high efficiency ashp, air at 0 \| low output temperature \| 3.8 \| 2.8 \| 2.2 \| 2 \| None \| None row 4 : prototype transcritical co 2 (r744) heat \| high output temperature \| 3.3 \| None \| None \| 4.2 \| None \| 3 row 5 : ground source heat pump (gshp), \| None \| 5 \| 3.7 \| 2.9 \| 2.4 \| None \| None row 6 : gshp, ground at 10 \| low output temperature \| 7.2 \| 5 \| 3.7 \| 2.9 \| 2.4 \| None row 7 : theoretical carnot cycle limit, source -20 \| None \| 5.6 \| 4.9 \| 4.4 \| 4 \| 3.7 \| 3.4 row 8 : theoretical carnot cycle limit, source 0 \| None \| 8.8 \| 7.1 \| 6 \| 5.2 \| 4.6 \| 4.2 row 9 : theoretical lorentzen cycle limit (co 2 \| None \| 10.1 \| 8.8 \| 7.9 \| 7.1 \| 6.5 \| 6.1 row 10 : theoretical carnot cycle limit, source 10 ° \| None \| 12.3 \| 9.1 \| 7.3 \| 6.1 \| 5.4 \| 4.8 ] Execute this SQL based on the above table: select pump type and source group by pump type and source order by count ( 45 °c (e.g. heated screed floor) ) desc limit 1	two-stage ashp, air at -20 °c
[ header: date \| opposition \| result \| score \| brazil scorers \| competition row 1 : january 26, 1982 \| east germany \| w \| 3-1 \| paulo isidoro, \| international friendly row 2 : march 3, 1982 \| czechoslovakia \| d \| 1-1 \| zico \| international friendly row 3 : march 21, 1982 \| west germany \| w \| 1-0 \| junior \| international friendly row 4 : may 5, 1982 \| portugal \| w \| 3-1 \| junior, eder, zico \| international friendly row 5 : may 19, 1982 \| switzerland \| d \| 1-1 \| zico \| international friendly row 6 : may 27, 1982 \| republic of ireland \| w \| 7-0 \| falcao, socrates (2), ser \| international friendly row 7 : june 14, 1982 \| soviet union \| w \| 2-1 \| socrates, eder \| world cup row 8 : june 18, 1982 \| scotland \| w \| 4-1 \| zico, oscar, e \| world cup row 9 : june 23, 1982 \| new zealand \| w \| 4-0 \| zico (2), falcao, serg \| world cup row 10 : july 2, 1982 \| argentina \| w \| 3-1 \| zico, serginho chulapa \| world cup row 11 : july 5, 1982 \| italy \| l \| 2-3 \| socrates, falcao \| world cup ] Execute this SQL based on the above table: select result where competition = 'international friendly'	w, d, w, w, d, w
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| canada \| 9 \| 6 \| 5 \| 20 row 2 : 2 \| united states \| 8 \| 7 \| 8 \| 23 row 3 : 3 \| austria \| 7 \| 9 \| 8 \| 24 row 4 : 4 \| japan \| 4 \| 2 \| 1 \| 7 row 5 : 5 \| italy \| 3 \| 7 \| 4 \| 14 row 6 : 6 \| france \| 3 \| 4 \| 4 \| 11 row 7 : 7 \| australia \| 3 \| 4 \| 0 \| 7 row 8 : 8 \| norway \| 2 \| 2 \| 2 \| 6 row 9 : 9 \| slovenia \| 2 \| 1 \| 2 \| 5 row 10 : 10 \| finland \| 2 \| 1 \| 1 \| 4 row 11 : 10 \| germany \| 2 \| 1 \| 1 \| 4 row 12 : 12 \| russia \| 2 \| 0 \| 3 \| 5 row 13 : 13 \| switzerland \| 1 \| 5 \| 5 \| 11 row 14 : 14 \| china \| 1 \| 1 \| 1 \| 3 row 15 : 15 \| poland \| 1 \| 1 \| 0 \| 2 row 16 : 16 \| czech republic \| 1 \| 0 \| 1 \| 2 row 17 : 17 \| belgium \| 1 \| 0 \| 0 \| 1 row 18 : 18 \| netherlands \| 0 \| 1 \| 0 \| 1 row 19 : 19 \| spain \| 0 \| 0 \| 3 \| 3 row 20 : 20 \| bulgaria \| 0 \| 0 \| 1 \| 1 row 21 : 20 \| great britain \| 0 \| 0 \| 1 \| 1 row 22 : 20 \| sweden \| 0 \| 0 \| 1 \| 1 row 23 : total \| total \| 52 \| 52 \| 52 \| 156 ] Execute this SQL based on the above table: select nation order by nation asc limit 1	australia
[ 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 count ( nation )	11
[ header: no \| driver \| entrant \| constructor \| chassis \| engine \| tyre row 1 : 2 \| johnny claes \| ecurie belge \| talbot-lago \| talbot-lago t26c \| talbot 23cv 4.5 l \| d row 2 : 6 \| yves giraud-cab \| yves giraud-cab \| talbot-lago \| talbot-lago t26c \| talbot 23cv 4.5 l \| d row 3 : 8 \| louis rosier \| ecurie rosier \| talbot-lago \| talbot-lago t26c \| talbot 23cv 4.5 l \| d row 4 : 10 \| henri louveau \| ecurie rosier \| talbot-lago \| talbot-lago t26c \| talbot 23cv 4.5 l \| d row 5 : 12 \| george abecassis \| hw motors \| hwm-alta \| hwm 51 \| alta 1.5 l4s \| d row 6 : 16 \| peter whitehead \| scuderia ferrari \| ferrari \| ferrari 125 \| ferrari 125 f1 1.5 v \| d row 7 : 18 \| luigi villoresi \| scuderia ferrari \| ferrari \| ferrari 375 \| ferrari type 375 4.5 v12 \| p row 8 : 20 \| alberto ascari \| scuderia ferrari \| ferrari \| ferrari 375 \| ferrari type 375 4.5 v12 \| p row 9 : 22 \| nino farina \| alfa romeo spa \| alfa romeo \| alfa romeo 159a \| alfa romeo 1.5 l8 \| p row 10 : 24 \| juan manuel fangio \| alfa romeo spa \| alfa romeo \| alfa romeo 159a \| alfa romeo 1.5 l8 \| p row 11 : 26 \| toulo de graffenried \| alfa romeo spa \| alfa romeo \| alfa romeo 159a \| alfa romeo 1.5 l8 \| p row 12 : 30 \| louis chiron \| enrico plate \| maserati \| maserati 4clt-48 \| maserati 4 cl 1.5 \| p row 13 : 32 \| harry schell \| enrico plate \| maserati \| maserati 4clt-48 \| maserati 4 cl 1.5 \| p row 14 : 40 \| guy mairesse \| yves giraud-cab \| talbot-lago \| talbot-lago t26c \| talbot 23cv 4.5 l \| d row 15 : 42 \| jose froilan gonzal \| jose froilan gonzal \| talbot-lago \| talbot-lago t26c \| talbot 23cv 4.5 l \| d row 16 : 48 \| maurice trintignant \| equipe gordini \| simca-gordini \| simca-gordini t \| simca-gordini 15c \| e row 17 : 52 \| peter hirt \| peter hirt \| veritas \| veritas meteor \| veritas 2.0 l6 \| None ] Execute this SQL based on the above table: select entrant order by no desc limit 1	peter hirt
[ header: name \| armenian \| location \| # of prisoners designed for \| notes row 1 : nubarashen \| «նուբարաշեն» \| nubarashen, yerevan \| 840 \| None row 2 : kosh \| «կոշ» \| kosh, aragatsot \| 640 \| None row 3 : sevan \| «սեւան» \| hrazdan, kotayk \| 548 \| None row 4 : prison hospital \| «դատապարտյալների հիվանդանոց» \| kentron, yerevan \| 464 \| None row 5 : erebuni \| «էրեբունի» \| nubarashen, yerevan \| 391 \| None row 6 : artik \| «արթիկ» \| harich, shirak \| 373 \| None row 7 : abovyan \| «աբովյան» \| abovyan, kotay \| 250 \| for women and minors row 8 : vanadzor \| «վանաձոր» \| vanadzor, lori \| 245 \| None row 9 : goris \| «գորիս» \| goris, syunik \| 215 \| None row 10 : hrazdan \| «հրազդան» \| hrazdan, kotayk \| 215 \| None row 11 : vardashen \| «վարդաշեն» \| nubarashen, yerevan \| 150 \| for former policemen and military officers row 12 : yerevan-center \| «երեւան-կենտրոն» \| kentron, yerevan \| 60 \| None row 13 : total \| total \| total \| 4391 \| None ] Execute this SQL based on the above table: select location order by # of prisoners designed for desc limit 1	total
[ header: title \| release \| 6th gen \| handheld \| note row 1 : buggy grand prix: kattobi! \| 2003 \| playstation 2 \| None \| None row 2 : gunbird special edition / gunbird 1& \| 2004 \| playstation 2 \| None \| None row 3 : psikyo shooting collection vol. \| 2004 \| playstation 2 \| None \| released and published in europe by play it as row 4 : psikyo shooting collection vol. \| 2004 \| playstation 2 \| None \| None row 5 : psikyo shooting collection vol. \| 2004 \| playstation 2 \| None \| None row 6 : taisen hot gimmick \| 2004 \| playstation 2 \| None \| None row 7 : sengoku cannon \| 2005 \| None \| psp \| None row 8 : taisen hot gimmick \| 2005 \| playstation 2 \| None \| None ] Execute this SQL based on the above table: select 6th gen where 6th gen in ( 'playstation 2' , 'playstation 2' ) order by release asc limit 1	playstation 2
[ header: date \| ship \| nationality \| tonnage \| fate row 1 : 19 august 1941 \| ss aguila \| united kingdom \| 3255 \| sunk row 2 : 27 november 1941 \| hmas parramatta \| royal australian navy \| 1060 \| sunk row 3 : 23 december 1941 \| ss shuntien \| united kingdom \| 3059 \| sunk row 4 : 26 december 1941 \| ss warszawa \| poland \| 2487 \| sunk row 5 : 10 june 1942 \| mv athene \| norway \| 4681 \| sunk row 6 : 10 june 1942 \| ss brambleleaf \| united kingdom \| 5917 \| damaged ] Execute this SQL based on the above table: select count ( nationality ) where tonnage < ( select tonnage where nationality = 'poland' )	1
[ header: year \| ring name (birth name) \| inducted by \| inducted for \| notes row 1 : 2007 \| gene anderson \| bill eadie \| wrestling \| posthumous induction; won the n row 2 : 2007 \| ole anderson (alan rog \| bill eadie \| wrestling \| won the nwa mid-atlantic/ row 3 : 2007 \| penny banner (mary ann kostec \| nickla roberts \| women's wrestling \| won the nwa women's world row 4 : 2007 \| swede hanson (rober \| gary hart \| wrestling \| posthumous induction; won the n row 5 : 2008 \| paul jones (paul fr \| jack brisco \| wrestling and managing \| won the nwa mid-atlantic heavy row 6 : 2008 \| ivan koloff (oreal per \| don kernodle \| wrestling \| won the nwa mid-atlantic heavy row 7 : 2008 \| thunderbolt patterson (claude \| ole anderson \| wrestling \| won the nwa georgia row 8 : 2008 \| sandy scott (angus mackay \| bob caudle \| wrestling and promoting \| worked as an executive for jim cro row 9 : 2008 \| grizzly smith (aurelian \| magnum t.a \| wrestling \| won the nwa united states tag team row 10 : 2008 \| johnny weaver (kenneth \| rip hawk \| wrestling \| posthumous induction; won the n row 11 : 2009 \| don fargo (don kalt) \| jerry jarrett & \| wrestling \| won the nwa southern tag team championship row 12 : 2009 \| jackie fargo (henry \| jerry jarrett & \| wrestling \| won the nwa world tag team championship row 13 : 2009 \| sonny fargo (jack lewis \| jerry jarrett & \| wrestling \| posthumous induction; won the n ] Execute this SQL based on the above table: select notes where inducted by = 2 order by year limit 2007	won the nwa southern tag team championship (mid-america version) (2 times) and nwa world tag team championship (mid-america version) (6 times), won the nwa world tag team championship (mid-america version) (10 times) and nwa southern tag team championship (mid-america version) (22 times), posthumous induction; won the nwa southern tag team championship (mid-america version) (3 times)
[ 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 products where employees = ( select min ( employees ) )	engine blocks, parts
[ header: outcome \| no. \| date \| tournament \| surface \| opponent \| score row 1 : runner-up \| 1 \| 23 august 2004 \| la paz, bolivia \| clay \| jenifer widjaja \| 6-3, 4-6, 0-6 row 2 : runner-up \| 2 \| 6 june 2005 \| santa tecla, e \| clay \| andrea benitez \| 3-6, 0-6 row 3 : runner-up \| 2 \| 22 august 2005 \| bogota, colombia \| clay \| carla tiene \| 4-6, 0-6 row 4 : runner-up \| 4 \| 15 may 2006 \| ciudad obregon, mexico \| hard \| ellah nze \| 6-4, 3-6, 3-6 row 5 : winner \| 1 \| 5 june 2006 \| xalapa, mexico \| hard \| maria irigoyen \| 6-1, 3-6, 6-4 row 6 : winner \| 2 \| 7 september 2009 \| mazatlan, mexico \| hard \| fernanda hermenegildo \| 6-1, 6-2 row 7 : winner \| 3 \| 2 november 2009 \| bogota, colombia \| clay \| yuliana lizarazo \| 7-6(7-5), 6-4 row 8 : runner-up \| 5 \| 16 november 2009 \| asuncion, paraguay \| clay \| paula ormaechea \| 6-4, 4-6, 2-6 row 9 : winner \| 4 \| 8 november 2010 \| bogota, colombia \| clay \| patricia ku flores \| 6-1, 7-5 row 10 : winner \| 5 \| 29 november 2010 \| santiago, chile \| clay \| veronica cepede royg \| 6-2, 6-2 row 11 : winner \| 6 \| 18 july 2011 \| ribeirao preto, brazil \| clay \| vivian segnini \| 6-2, 6-2 row 12 : runner-up \| 6 \| 8 august 2011 \| santa cruz de la sierra \| clay \| maria irigoyen \| 2-6, 3-6 row 13 : winner \| 7 \| 15 august 2011 \| la paz, bolivia \| clay \| maria irigoyen \| 6-0, 7-6(7-1) row 14 : runner-up \| 7 \| 3 october 2011 \| yerevan, armenia \| clay \| julia cohen \| 6-7(6-8), 2-6 row 15 : runner-up \| 8 \| 19 march 2012 \| bangalore, india \| hard \| donna vekic \| 2-6, 4-6 row 16 : runner-up \| 9 \| 8 may 2012 \| brasilia, brazil \| clay \| gabriela paz \| 3-6, 3-6 row 17 : winner \| 8 \| 19 november 2012 \| barranquilla, colombia \| clay \| karolina nowak \| 7-6(7-4), 6-0 row 18 : winner \| 9 \| 21 october 2013 \| bogota, colombia \| hard \| anna katalina alzate \| 6-3, 6-3 row 19 : winner \| 10 \| 11 november 2013 \| lima, peru \| clay \| patricia ku flores \| 7-5, 6-7(4-7), row 20 : winner \| 11 \| 25 november 2013 \| bogota, colombia \| clay \| naomi totka \| 6-1, 6-1 row 21 : runner-up \| 10 \| 2 december 2013 \| barranquilla, colombia \| clay \| maria fernanda herazo \| 4-6, 2-6 ] Execute this SQL based on the above table: select count ( * ) where date = '25 november 2013'	1
[ header: club \| founded \| nickname \| location \| home ground \| entered competition \| most recent promotion row 1 : bundoora football club \| 1974 \| bulls \| bundoora \| yulong reserve \| 1981 \| 1982 row 2 : eltham football club \| 1909 \| panthers \| eltham \| central park \| 1922 \| 2003 row 3 : greensborough football club \| 1905 \| boro \| greensborough \| war memorial park \| 1922 \| 2007 row 4 : heidelberg football club \| 1876 \| tigers \| heidelberg \| warringal park \| 1923 \| 1983 row 5 : lalor football club \| 1955 \| bloods \| lalor \| lalor reserve \| 1968 \| 2011 row 6 : macleod football club \| 1946 \| kangaroos \| rosanna \| de winton park \| 1947 \| 2010 row 7 : montmorency football club \| 1924 \| magpies \| montmorency \| montmorency park, north oval \| 1924 \| None row 8 : north heidelberg football club \| 1958 \| bulldogs \| heidelberg heights \| shelley street reserve \| 1958 \| None row 9 : northcote park football club \| 1952 \| cougars \| northcote \| bill lawry oval \| 1982 \| 1995 row 10 : west preston lakeside football club \| 1998 \| roosters \| reservoir \| j e moore park \| 1996 \| 1997 ] Execute this SQL based on the above table: select location group by location order by count ( club ) desc limit 1	rosanna
[ header: year \| crystal bicycle (best professional cyclist) \| best young rider \| best manager \| crystal drop of sweat (best helper) row 1 : 1992 \| dirk de wolf \| not awarded \| not awarded \| not awarded row 2 : 1993 \| johan museeuw \| not awarded \| not awarded \| not awarded row 3 : 1994 \| paul herygers \| kristof trouve \| not awarded \| not awarded row 4 : 1995 \| johan museeuw \| leif hoste \| not awarded \| not awarded row 5 : 1996 \| johan museeuw \| glenn d'hollander \| not awarded \| not awarded row 6 : 1997 \| johan museeuw \| sven nys \| not awarded \| not awarded row 7 : 1998 \| tom steels \| sven nys \| not awarded \| not awarded row 8 : 1999 \| frank vandenbroucke \| kevin hulsmans \| not awarded \| not awarded row 9 : 2000 \| andrei tchmil \| jurgen van goolen \| patrick lefevere & jo \| not awarded row 10 : 2001 \| rik verbrugghe \| tom boonen \| jef braeckevelt \| not awarded row 11 : 2002 \| johan museeuw \| kevin de weert \| johan bruyneel \| not awarded row 12 : 2003 \| peter van petegem \| johan vansummeren \| johan bruyneel \| not awarded row 13 : 2004 \| tom boonen \| niels albert \| patrick lefevere \| not awarded row 14 : 2005 \| tom boonen \| niels albert \| jose de cauwer \| kevin hulsmans row 15 : 2006 \| tom boonen \| dominique cornu \| patrick lefevere \| gert steegmans row 16 : 2007 \| sven nys \| niels albert \| johan bruyneel \| johan vansummeren row 17 : 2008 \| philippe gilbert \| jan bakelants \| johan bruyneel \| mario aerts row 18 : 2009 \| philippe gilbert \| kris boeckmans \| johan bruyneel \| stijn vandenbergh row 19 : 2010 \| philippe gilbert \| yannick eijssen \| marc sergeant \| mario aerts row 20 : 2011 \| philippe gilbert \| tosh van der sande \| john lelangue \| jelle vanendert row 21 : 2012 \| tom boonen \| gijs van hoecke \| carlo bomans \| kevin de weert row 22 : 2013 \| sven nys \| igor decraene \| patrick lefevere \| stijn vandenbergh ] Execute this SQL based on the above table: select count ( crystal bicycle (best professional cyclist) )	22
[ header: event \| gold \| silver \| bronze \| total \| ranking row 1 : 1976 winter paralympics \| 10 \| 1 \| 1 \| 12 \| 2nd row 2 : 1984 winter paralympics \| 4 \| 2 \| 3 \| 9 \| 5th row 3 : 1988 winter paralympics \| 5 \| 16 \| 16 \| 37 \| 7th row 4 : 1992 winter paralympics \| 3 \| 8 \| 4 \| 15 \| 8th row 5 : 1994 winter paralympics \| 2 \| 9 \| 5 \| 16 \| 11th row 6 : 1998 winter paralympics \| 10 \| 5 \| 8 \| 23 \| 6th row 7 : 2002 winter paralympics \| 6 \| 4 \| 2 \| 12 \| 7th row 8 : 2006 winter paralympics \| 0 \| 1 \| 1 \| 2 \| 13th row 9 : 2010 winter paralympics \| 1 \| 2 \| 0 \| 3 \| 13th ] Execute this SQL based on the above table: select event where ranking = ( select ranking where event = '1988 winter paralympics' ) + 1	1992 winter paralympics
[ header: year \| team \| games \| punt return attempts \| punt return yards \| punts returned for touchdown \| punts fair caught \| longest punt return \| kickoff attempts \| kickoff return yards \| kickoffs returned for touchdown \| kickoffs fair caught \| longest kickoff return row 1 : 2008 \| den \| 15 \| 14 \| 140 \| 0 \| 10 \| 36 \| 23 \| 600 \| 0 \| 0 \| 95 row 2 : 2009 \| den \| 14 \| 30 \| 335 \| 1 \| 13 \| 71 \| 26 \| 621 \| 1 \| 0 \| 93 row 3 : 2010 \| den \| 16 \| 25 \| 298 \| 0 \| 12 \| 33 \| 5 \| 107 \| 0 \| 0 \| 33 row 4 : 2011 \| den \| 12 \| 12 \| 194 \| 1 \| 9 \| 85 \| 3 \| 47 \| 0 \| 0 \| 20 row 5 : 2012 \| sd \| 10 \| 12 \| 64 \| 0 \| 2 \| 14 \| 0 \| 0 \| 0 \| 0 \| 0 row 6 : 2013 \| sd \| 15 \| 7 \| 41 \| 0 \| 7 \| 12 \| 0 \| 0 \| 0 \| 0 \| 0 row 7 : total \| total \| 82 \| 100 \| 1072 \| 2 \| 53 \| 85 \| 57 \| 1375 \| 1 \| 0 \| 95 ] Execute this SQL based on the above table: select count ( year ) where team > 200	7
[ header: # \| date \| venue \| opponent \| result \| competition \| scored row 1 : 1 \| 5 march 2002 \| lagos \| sweden \| 3-6 \| algarve cup \| 1 row 2 : 2 \| 22 september 2002 \| st andrew's, \| iceland \| 1-0 \| 2003 fifa world cup qual \| 1 row 3 : 3 \| 21 october 2003 \| kryoia soveto, \| russia \| 2-2 \| friendly \| 1 row 4 : 4 \| 14 november 2003 \| deepdale, preston \| scotland \| 5-0 \| friendly \| 1 row 5 : 5 \| 16 september 2004 \| sportpark de wending, heer \| netherlands \| 2-1 \| friendly \| 1 row 6 : 6 \| 17 february 2005 \| national hockey stadium, milton keynes \| italy \| 4-1 \| friendly \| 1 row 7 : 7 \| 9 march 2005 \| faro \| portugal \| 4-0 \| algarve cup \| 1 row 8 : 8 \| 21 april 2005 \| prenton park, tranmere \| scotland \| 2-1 \| friendly \| 1 row 9 : 9 \| 5 june 2005 \| city of manchester stadium, manchester \| finland \| 3-2 \| 2005 uefa championship \| 1 row 10 : 10 \| 1 september 2005 \| ertl-glas-stadi \| austria \| 4-1 \| 2007 fifa world cup qual \| 1 ] Execute this SQL based on the above table: select count ( result ) where result = '2-2'	1
[ header: track \| title \| translation \| composer \| recorded row 1 : 1 \| "demain l'on se marie \| tomorrow we'll marry (the song of the \| jacques brel \| 1958-03-14 row 2 : 2 \| "au printemps" \| in the spring \| jacques brel \| 1958-04-01 row 3 : 3 \| "je ne sais pas" \| i don't know \| jacques brel \| 1958-04-01 row 4 : 4 \| "le colonel" \| the colonel \| jacques brel, gaby \| 1958-04-01 row 5 : 5 \| "dors ma mie, bons \| sleep my love, good night \| jacques brel, franco \| 1958-03-12 row 6 : 6 \| "la lumiere jaillira \| the light will shine \| jacques brel, franco \| 1958-04-01 row 7 : 7 \| "dites, si c'et \| say, if it were true (po \| jacques brel \| 1958-04-01 row 8 : 8 \| "l'homme dans la cite" \| the man in the city \| jacques brel, franco \| 1958-04-01 row 9 : 9 \| "litanies pour un retour" \| litanies for a return \| jacques brel, franco \| 1958-04-01 row 10 : 10 \| "voici" \| here \| jacques brel, franco \| 1958-04-01 row 11 : 11 \| "voir" \| see \| jacques brel \| 1958-10-07 row 12 : 12 \| "l'aventure" \| the adventure \| jacques brel \| 1958-10-21 row 13 : 13 \| "dites, si c'et \| say, if it were true (po \| jacques brel \| 1956-09-19 ] Execute this SQL based on the above table: select track order by track desc limit 1	13.0
[ header: number \| serial no \| entered service \| withdrawn \| kilometres travelled row 1 : 4101 \| 1000 \| 1 dec 1953 \| 6 jun 1973 \| 463,514 row 2 : 4102 \| 1002 \| 30 oct 1953 \| 30 jun 1975 \| 492,650 row 3 : 4103 \| 1003 \| 18 jan 1954 \| 2 apr 1974 \| 462,871 row 4 : 4104 \| 1004 \| 13 jan 1954 \| 12 oct 1973 \| 440,810 row 5 : 4105 \| 1005 \| 8 feb 1954 \| None \| None row 6 : 4106 \| 1006 \| 21 jan 1954 \| 4 aug 1972 \| 406,288 row 7 : 4107 \| 1007 \| 25 jan 1954 \| 11 aug 1973 \| 446,167 row 8 : 4108 \| 1008 \| 22 feb 1954 \| 20 dec 1967 \| 402,026 row 9 : 4109 \| 1009 \| 11 mar 1954 \| 9 feb 1972 \| 426,074 row 10 : 4110 \| 1010 \| 10 feb 1955 \| 20 may 1974 \| 476,489 ] Execute this SQL based on the above table: select count ( entered service ) where number < ( select number where entered service = '8 feb 1954' )	4
[ header: name \| rank \| age \| years until mandatory retirement \| appointed by \| year appointed row 1 : anabelle rodriguez \| associate justice \| 64 \| 6 years \| sila maria calderon \| 2004 row 2 : edgardo rivera garcia \| associate justice \| 59 \| 11 years \| luis fortuno \| 2010 row 3 : erick kolthoff caraball \| associate justice \| 53 \| 17 years \| luis fortuno \| 2009 row 4 : federico hernandez denton \| chief justice \| 70 \| 0 year \| sila maria calderon \| 2004 row 5 : liana fiol matta \| associate justice \| 68 \| 2 years \| sila maria calderon \| 2004 row 6 : luis estrella martinez \| associate justice \| 43 \| 27 years \| luis fortuno \| 2011 row 7 : mildred pabon charneco \| associate justice \| 57 \| 13 years \| luis fortuno \| 2009 row 8 : rafael martinez \| associate justice \| 55 \| 15 years \| luis fortuno \| 2009 row 9 : roberto feliberti c \| associate justice \| 51 \| 19 years \| luis fortuno \| 2011 ] Execute this SQL based on the above table: select appointed by where rank = 'associate justice'	sila maria calderon, luis fortuno, luis fortuno, sila maria calderon, luis fortuno, luis fortuno, luis fortuno, luis fortuno
[ header: # \| title \| songwriters \| producer(s) \| performer (s) row 1 : 1 \| "creative control" \| o. credle, l. bas \| organized konfusion \| o.c row 2 : 2 \| "word...life" \| o. credle, a. best \| buckwild \| o.c row 3 : 3 \| "o-zone" \| o. credle, a. best \| buckwild \| o.c row 4 : 4 \| "born 2 live" \| o. credle, a. best \| buckwild \| o.c row 5 : 5 \| "time's up" \| o. credle, a. best \| buckwild \| o.c row 6 : 6 \| "point o' viewz" \| o. credle, d. van \| buckwild, prestige \| o.c row 7 : 7 \| "constables" \| o. credle, l. bas \| organized konfusion \| o.c row 8 : 8 \| "ga head" \| o. credle, r. hall \| lord finesse \| o.c row 9 : 9 \| "no main topic" \| o. credle, g. \| dj ogee/o. \| o.c., prince po row 10 : 10 \| "let it slide" \| o. credle, a. best \| buckwild \| o.c., pharo row 11 : 11 \| "ma dukes" \| o. credle, a. best \| buckwild \| o.c row 12 : 12 \| "story" \| o. credle, g. \| dj ogee/o. \| o.c row 13 : 13 \| "outtro (sabotage) \| o. credle, a. best \| buckwild \| o.c row 14 : 14 \| "born 2 live (remix)" \| o. credle, a. best \| organized konfusion \| o.c ] Execute this SQL based on the above table: select producer(s) order by producer(s) limit 1	buckwild
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 2 \| 17 february 2002 \| healy park, omagh \| tyrone \| \| 2-10 : 0-18 \| national football league round 2 row 2 : 3 \| 3 march 2002 \| parnell park, dublin \| westmeath \| \| 3-13 : 1-16 \| national football league round 4 row 3 : 5 \| 31 march 2002 \| tuam stadium, galway \| galway \| \| 1-12 : 1-12 \| national football league round 7 row 4 : 6 \| 2 february 2003 \| parnell park, dublin \| armagh \| \| 0-7 : 1-15 \| national football league round 1 row 5 : 12 \| 8 february 2004 \| mchale park, castlebar \| mayo \| \| 0-3 : 1-10 \| national football league round 2 row 6 : 15 \| 21 march 2004 \| parnell park, dublin \| cork \| \| 0-9 : 0-9 \| national football league round 6 row 7 : 16 \| 5 february 2005 \| parnell park, dublin \| mayo \| \| 2-13 : 1-15 \| national football league round 1 row 8 : 21 \| 26 march 2005 \| pairc ui rinn, \| cork \| \| 1-6 : 0-18 \| national football league round 6 row 9 : 22 \| 3 april 2005 \| o'connor park, tul \| offaly \| \| 1-13 : 2-6 \| national football league round 7 row 10 : 27 \| 25 march 2006 \| parnell park, dublin \| mayo \| \| 4-10 : 1-10 \| national football league round 6 row 11 : 28 \| 9 april 2006 \| fitzgerald stadium, kerry \| kerry \| \| 0-13 : 0-13 \| national football league round 7 row 12 : 30 \| 10 february 2007 \| gaelic grounds, limerick \| limerick \| \| 0-14 : 1-10 \| national football league round 2 row 13 : 31 \| 25 february 2007 \| ballyshannon, donegal \| donegal \| \| 0-5 : 0-9 \| national football league round 3 row 14 : 32 \| 10 march 2007 \| parnell park, dublin \| cork \| \| 1-13 : 0-7 \| national football league round 4 row 15 : 41 \| 26 april 2008 \| pairc tailteann, meath \| westmeath \| \| 0-10 : 0-15 \| national football league division 2 final row 16 : 42 \| 31 january 2009 \| croke park, dublin \| tyrone \| \| 1-16 : 1-18 \| national football league round 1 row 17 : 43 \| 15 february 2009 \| pearse stadium, salthill \| galway \| \| 0-13 : 3-12 \| national football league round 2 row 18 : 48 \| 7 february 2010 \| fitzgerald stadium, killarney \| kerry \| \| 1-12 : 1-10 \| national football league round 1 row 19 : 50 \| 13 march 2010 \| parnell park, dublin \| monaghan \| \| 2-11 : 1-9 \| national football league round 4 ] Execute this SQL based on the above table: select count ( * ) where venue = 'ballyshannon, donegal'	1
[ header: rank \| name \| notability \| birthplace \| advocate row 1 : 10 \| wayne gretzky \| hockey player, holder of numerous nh \| brantford, ontario \| deborah grey row 2 : 9 \| alexander graham bell \| scientist, inventor, founder of the bell telephone company \| edinburgh, scotl \| evan solomon row 3 : 8 \| sir john a. macdonal \| first prime minister of canada \| glasgow, scotland \| charlotte gray row 4 : 7 \| don cherry \| hockey coach and commentator \| kingston, ontario \| bret hart row 5 : 6 \| lester b. pearson \| fourteenth prime minister of canada, united nations general \| toronto, ontario \| paul gross row 6 : 5 \| david suzuki \| environmentalist \| vancouver, british columb \| melissa auf der maur row 7 : 4 \| sir frederick banting \| medical scientist, co-discoverer of insulin \| alliston, ontario \| mary walsh row 8 : 3 \| pierre trudeau \| fifteenth prime minister of canada \| montreal, quebec \| rex murphy row 9 : 2 \| terry fox \| athlete, activist, humanitarian \| winnipeg, manitob \| sook-yin lee row 10 : 1 \| tommy douglas \| father of medicare, premier of sa \| falkirk, scotland \| george stroumboulopoulos ] Execute this SQL based on the above table: select rank where birthplace = 'montreal, quebec'	3.0
[ header: year \| competition \| venue \| position \| notes row 1 : 1994 \| commonwealth games \| victoria, canada \| 6th \| 400 m h row 2 : 1995 \| world championships \| gothenburg, sweden \| 6th \| 400 m h row 3 : 1997 \| world championships \| athens, greece \| 7th \| 4x400 m relay row 4 : 1998 \| commonwealth games \| kuala lumpur, malaysi \| 3rd \| 400 m h row 5 : 1998 \| african championships \| dakar, senegal \| 2nd \| 400 m h row 6 : 1999 \| all-africa games \| johannesburg, south africa \| 2nd \| 400 m h ] Execute this SQL based on the above table: select position order by notes asc limit 1	6th
[ 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 gender order by age desc limit 1	female
[ header: \| dingli \| marsa \| mellieha \| mosta \| qormi \| senglea \| st.georges \| st.patrick \| tarxien \| vittoriosa row 1 : dingli \| None \| 6-2 \| 2-2 \| 0-2 \| 2-0 \| 0-1 \| 2-2 \| 2-0 \| 1-3 \| 0-0 row 2 : marsa \| 0-3 \| None \| 0-1 \| 2-4 \| 3-4 \| 0-5 \| 1-3 \| 1-0 \| 2-3 \| 1-4 row 3 : mellieha \| 0-2 \| 1-3 \| None \| 1-2 \| 4-3 \| 1-3 \| 0-1 \| 2-2 \| 2-2 \| 3-6 row 4 : mosta \| 4-0 \| 0-3 \| 3-0 \| None \| 2-2 \| 3-1 \| 2-0 \| 2-0 \| 0-1 \| 2-1 row 5 : qormi \| 4-2 \| 1-1 \| 3-0 \| 3-3 \| None \| 1-0 \| 1-0 \| 1-0 \| 4-1 \| 0-1 row 6 : senglea \| 0-4 \| 5-2 \| 4-0 \| 2-1 \| 1-3 \| None \| 2-0 \| 0-4 \| 0-1 \| 1-0 row 7 : st. george's \| 4-2 \| 6-0 \| 1-2 \| 2-2 \| 0-0 \| 0-4 \| None \| 2-1 \| 2-0 \| 3-7 row 8 : st. patrick \| 0-2 \| 1-1 \| 3-1 \| 0-1 \| 1-3 \| 1-1 \| 4-1 \| None \| 1-1 \| 1-3 row 9 : tarxien \| 2-1 \| 4-0 \| 3-0 \| 0-0 \| 0-2 \| 1-0 \| 1-0 \| 3-0 \| None \| 3-2 row 10 : vittoriosa \| 1-3 \| 2-1 \| 2-1 \| 0-1 \| 1-2 \| 1-2 \| 2-0 \| 0-2 \| 0-3 \| None ] Execute this SQL based on the above table: select senglea where senglea in ( '0-1' , '1-2' ) group by senglea order by count ( * ) desc limit 1	1-2
[ header: place \| nation \| 5 hoops \| 3 balls, 2 ribbons \| total row 1 : 1 \| bulgaria \| 19.800 (1) \| 19.800 (1) \| 39.600 row 2 : 2 \| spain \| 19.700 (3) \| 19.700 (2) \| 39.400 row 3 : 3 \| belarus \| 19.733 (2) \| 19.600 (3) \| 39.333 row 4 : 4 \| russia \| 19.600 (4) \| 19.566 (4) \| 39.166 row 5 : 5 \| ukraine \| 19.366 (5) \| 15.500 (5) \| 38.866 row 6 : 6 \| japan \| 19.166 (6) \| 19.333 (7) \| 38.499 row 7 : 7 \| italy \| 19.066 (7) \| 19.400 (6) \| 38.466 row 8 : 8 \| hungary \| 18.766 (8) \| 19.166 (8) \| 37.932 ] Execute this SQL based on the above table: select count ( * ) where nation = 'russia'	1
[ header: player \| country \| year(s) won \| r1 \| r2 \| total \| to par row 1 : don january \| united states \| 1967 \| 76 \| 74 \| 150 \| 6 row 2 : jack burke, jr \| united states \| 1956 \| 75 \| 75 \| 150 \| 6 row 3 : raymond floyd \| united states \| 1969 \| 77 \| 74 \| 151 \| 7 row 4 : jay hebert \| united states \| 1960 \| 74 \| 79 \| 153 \| 9 row 5 : dow finsterwald \| united states \| 1958 \| 79 \| 74 \| 153 \| 9 row 6 : doug ford \| united states \| 1955 \| 77 \| 80 \| 154 \| 14 row 7 : jerry barber \| united states \| 1961 \| 78 \| 80 \| 158 \| 14 row 8 : gene sarazen \| united states \| 1922, 1923, 1933 \| 81 \| 79 \| 160 \| 16 row 9 : walter burkemo \| united states \| 1953 \| 83 \| 79 \| 162 \| 18 row 10 : denny shute \| united states \| 1936, 1937 \| 81 \| 87 \| 168 \| 24 ] Execute this SQL based on the above table: select year(s) won where year(s) won = '1936, 1937'	1936, 1937
[ 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 order by pos. desc limit 2	martin vrablik, cameron barnes
[ header: place \| player \| country \| score \| to par row 1 : t1 \| ed sneed \| united states \| 68-67=135 \| -9 row 2 : t1 \| craig stadler \| united states \| 69-66=135 \| -9 row 3 : t3 \| raymond floyd \| united states \| 70-68=138 \| -6 row 4 : t3 \| leonard thompson \| united states \| 68-70=138 \| -6 row 5 : t5 \| miller barber \| united states \| 75-64=139 \| -5 row 6 : t5 \| tom watson \| united states \| 68-71=139 \| -5 row 7 : t5 \| joe inman \| united states \| 68-71=139 \| -5 row 8 : t8 \| seve ballesteros \| spain \| 72-68=140 \| -4 row 9 : t8 \| jack nicklaus \| united states \| 69-71=140 \| -4 row 10 : t8 \| lou graham \| united states \| 69-71=140 \| -4 ] Execute this SQL based on the above table: select count ( * ) where player = 'leonard thompson'	1
[ header: game \| date \| team \| score \| high points \| high rebounds \| high assists \| location attendance \| record row 1 : 1 \| october 5 \| @ portland \| l 86-115 \| chris kaman (14) \| chris kaman, blake \| randy foye (5) \| rose garden 18,209 \| 0-1 row 2 : 2 \| october 7 \| @ sacramento \| w 120-88 \| chris kaman (20) \| blake griffin (13) \| randy foye (8) \| arco arena 10,284 \| 1-1 row 3 : 3 \| october 8 \| @ golden state \| l 87-127 \| blake griffin (23) \| blake griffin (9) \| randy foye (6) \| oracle arena 10,004 \| 1-2 row 4 : 4 \| october 12 \| san antonio \| l 99-100 \| eric gordon (23) \| blake griffin (17) \| baron davis (7) \| palacio de los deportes 18, \| 1-3 row 5 : 5 \| october 14 \| denver \| l 95-100 \| blake griffin (24) \| blake griffin (14) \| baron davis (6) \| staples center 10,572 \| 1-4 row 6 : 6 \| october 16 \| utah \| l 91-103 \| eric gordon (23) \| blake griffin (14) \| baron davis (8) \| staples center 18,997 \| 1-5 row 7 : 7 \| october 17 \| denver \| l 104-108 \| brian cook (28) \| al-farouq aminu (8) \| baron davis, eric ble \| staples center \| 1-6 row 8 : 8 \| october 19 \| sacramento \| l 94-96 \| chris kaman (21) \| chris kaman (10) \| baron davis (8) \| staples center 10,838 \| 1-7 ] Execute this SQL based on the above table: select score group by score order by count ( * ) desc limit 1	w 120-88
[ header: location \| name of mill and grid reference \| type \| maps \| first mention or built \| last mention or demise row 1 : chesfield \| None \| post \| None \| 1318 \| 1372 row 2 : chesfield \| chesfield park \| titt iron wind engine \| None \| 1896 \| None row 3 : cheshunt \| tl 317 036 \| post \| None \| 1843 \| demolished c. 1860 row 4 : cheshunt \| goff's oak mill tl \| tower \| None \| c. 1860 \| demolished 1953 row 5 : cheshunt \| turner's hill mill tl 3 \| None \| 1822 \| 1822 \| 1861 row 6 : chipperfield \| tl 037 014 \| post \| None \| 1594 \| 1594 row 7 : chipperfield \| tl 037 014 \| smock \| 1822 \| 1822 \| 1881, gone by 1896 row 8 : chipping \| approximately tl 350 319 \| post \| 1720 1728 \| 1720 \| 1728 row 9 : clothall \| approximately tl 264 326 \| post \| None \| 1370 \| 1370 row 10 : codicote \| codicote heath approximately tl \| smock \| None \| 1841 \| 1855, gone by 1881 row 11 : colney heath \| colney heath mill tl 205 \| tower \| None \| 1854 \| windmill world row 12 : cottered \| None \| post \| None \| 1581 \| 1581 row 13 : cromer \| None \| None \| None \| 1192 \| 1576 row 14 : cromer \| cromer mill tl 304 2 \| post \| 1720 1728 1749 1766 1800 18 \| 1720 \| windmill world row 15 : croxley green \| croxley green mill tq 06 \| tower \| None \| c. 1860 \| windmill world ] Execute this SQL based on the above table: select sum ( last mention or demise )	18631
[ header: no. \| name \| term of office \| president(s) served under row 1 : 1 \| william bennett \| 1989 - 1991 \| george h. w. bush row 2 : 2 \| bob martinez \| march 28, 1991 - january 20, \| george h. w. bush row 3 : 3 \| lee p. brown \| january 1993 - december \| bill clinton row 4 : 4 \| barry mccaffrey \| february 29, 1996 - janu \| bill clinton row 5 : 5 \| john p. walters \| december 7, 2001 - janu \| george w. bush row 6 : 6 \| gil kerlikowske \| may 7, 2009 - march 6, 2014 \| barack obama row 7 : acting \| michael botticelli \| march 6, 2014 - \| barack obama ] Execute this SQL based on the above table: select max ( no. )	6.0
[ header: number \| driver \| entrant \| chassis \| engine \| tyre row 1 : 1 \| jimmy bryan \| dean van lines \| kuzma \| offenhauser \| f row 2 : 2 \| john lawrence \| ecurie ecosse \| jaguar d-type \| jaguar \| d row 3 : 4 \| jack fairman \| ecurie ecosse \| jaguar d-type \| jaguar \| d row 4 : 6 \| ninian sanderson \| ecurie ecosse \| jaguar d-type \| jaguar \| d row 5 : 7 \| bob veith \| bob estes \| phillips \| offenhauser \| f row 6 : 8 \| jean behra \| maserati \| maserati 250f \| maserati \| f row 7 : 8 \| jean behra \| maserati \| maserati 450s1 \| maserati \| f row 8 : 12 \| pat o'connor \| sumar \| kurtis kraft 500g \| offenhauser \| f row 9 : 16 \| mario bornigia \| scuderia cottione \| ferrari \| ferrari \| None row 10 : 27 \| tony bettenhausen \| novi auto air conditioning \| kurtis kraft 500f \| novi (s/c) \| f row 11 : 35 \| eddie sachs \| jim robbins \| kurtis kraft 500g \| offenhauser \| f row 12 : 49 \| ray crawford \| meguiar mirror glaze \| kurtis kraft 500g \| offenhauser \| f row 13 : 52 \| troy ruttman \| john zink \| watson \| offenhauser \| f row 14 : 52 \| jim rathmann2 \| john zink \| watson \| offenhauser \| f row 15 : 54 \| paul russo \| novi auto air conditioning \| kurtis kraft 500f \| novi (s/c) \| f row 16 : 73 \| andy linden \| mcnamara veedo \| kurtis kraft 500g \| offenhauser \| f row 17 : 98 \| johnnie parsons \| agajanian \| kuzma \| offenhauser \| f ] Execute this SQL based on the above table: select entrant where number > 85	agajanian
[ header: year \| winner \| second \| third \| starters row 1 : 2013 \| new year's day \| havana \| strong mandate \| 13 row 2 : 2012 \| shanghai bobby \| he's had enough \| capo bastone \| 9 row 3 : 2011 \| hansen \| union rags \| creative cause \| 13 row 4 : 2010 \| uncle mo \| boys at toscanova \| rogue romance \| 11 row 5 : 2009 \| vale of york \| lookin at lucky \| noble's promise \| 13 row 6 : 2008 \| midshipman \| square eddie \| street hero \| 12 row 7 : 2007 \| war pass \| pyro \| kodiak kowboy \| 11 row 8 : 2006 \| street sense \| circular quay \| great hunter \| 14 row 9 : 2005 \| stevie wonderboy \| henny hughes \| first samurai \| 14 row 10 : 2004 \| wilko \| afleet alex \| sun king \| 8 row 11 : 2003 \| action this day \| minister eric \| chapel royal \| 12 row 12 : 2002 \| vindication \| kafwain \| hold that tiger \| 13 row 13 : 2001 \| johannesburg \| repent \| siphonic \| 12 row 14 : 2000 \| macho uno \| point given \| street cry \| 14 row 15 : 1999 \| anees \| chief seattle \| high yield \| 14 row 16 : 1998 \| answer lively \| aly's alley \| cat thief \| 13 row 17 : 1997 \| favorite trick \| dawson's legacy \| nationalore \| 8 row 18 : 1996 \| boston harbor \| acceptable \| ordway \| 10 row 19 : 1995 \| unbridled's song \| hennessy \| editor's note \| 13 row 20 : 1994 \| timber country \| eltish \| tejano run \| 13 row 21 : 1993 \| brocco \| blumin affair \| tabasco cat \| 11 row 22 : 1992 \| gilded time \| it'sali'lknownfact \| river special \| 13 row 23 : 1991 \| arazi \| bertrando \| snappy landing \| 14 row 24 : 1990 \| fly so free \| take me out \| lost mountain \| 11 row 25 : 1989 \| rhythm \| grand canyon \| slavic \| 12 row 26 : 1988 \| is it true \| easy goer \| tagel \| 10 row 27 : 1987 \| success express \| regal classic \| tejano \| 13 row 28 : 1986 \| capote \| qualify \| alysheba \| 13 row 29 : 1985 \| tasso \| storm cat \| scat dancer \| 13 row 30 : 1984 \| chief's crown \| tank's prospect \| spend a buck \| 10 ] Execute this SQL based on the above table: select winner where starters = 10 and winner = 'boston harbor'	boston harbor
[ header: date \| pos. \| name \| from \| fee row 1 : 27 june 2007 \| df \| aaron hughes \| aston villa \| £1,000,000 row 2 : 5 july 2007 \| mf \| steven davis \| aston villa \| £4,000,000 row 3 : 9 july 2007 \| fw \| diomansy kamara \| west bromwich albion \| £6,000,000 row 4 : 12 july 2007 \| df \| chris baird \| southampton \| £3,035,000 row 5 : 13 july 2007 \| fw \| david healy \| leeds united \| £1,500,000 row 6 : 13 july 2007 \| df \| paul konchesky \| west ham \| £3,250,000 row 7 : 19 july 2007 \| mf \| lee cook \| qpr \| £2,500,000 row 8 : 4 august 2007 \| mf \| adrian leijer \| melbourne victory \| undisclosed row 9 : 8 august 2007 \| df \| hameur bouazza \| watford \| £3,000,000 row 10 : 23 august 2007 \| gk \| kasey keller \| borussia monchengladbach \| free row 11 : 30 august 2007 \| df \| nathan ashton \| unattached \| free row 12 : 31 august 2007 \| fw \| shefki kuqi \| crystal palace \| loan row 13 : 31 august 2007 \| mf \| danny murphy \| tottenham hotspur \| loan row 14 : 31 august 2007 \| mf \| seol ki-hyeon \| reading \| undisclosed row 15 : 31 august 2007 \| df \| dejan stefanovic \| portsmouth \| £1,000,000 ] Execute this SQL based on the above table: select count ( * ) where fee > 889	9
[ 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 ( name )	25
[ header: year \| player \| high school \| college \| nba/aba draft row 1 : 1941 \| john bass \| greenwood \| None \| None row 2 : 1943, 1944 \| no games (world war ii) \| None \| None \| None row 3 : 1948 \| bob masters \| lafayette jefferson \| indiana \| None row 4 : 1949 \| dee monroe \| madison \| kentucky \| None row 5 : 1951 \| tom harold \| muncie central \| colorado \| None row 6 : 1954 \| bobby plump \| milan \| butler \| None row 7 : 1956 \| oscar robertson \| crispus attucks \| cincinnati \| 1960 nba draft: 1st row 8 : 1957 \| john coalman \| south bend central \| fordham \| None row 9 : 1961 (tie) \| dick van arsdale \| indianapolis manual \| indiana \| 1965 nba draft: 2nd row 10 : 1962 \| larry humes \| madison \| evansville \| None row 11 : 1965 \| billy keller \| indianapolis washington \| purdue \| 1969 nba draft: 7th row 12 : 1967 \| willie long \| ft. wayne south side \| new mexico \| 1971 nba draft: 2nd row 13 : 1969 \| george mcginnis \| indianapolis washington \| indiana (1969-1971) \| 1971 aba draft: indiana pacer row 14 : 1971 \| mike flynn \| jeffersonville \| kentucky \| 1975 nba draft: 7th row 15 : 1972 \| phil cox \| connersville \| butler (1972-74) / gard \| None row 16 : 1974 (tie) \| roy taylor \| anderson \| youngstown state \| None row 17 : 1975 \| kyle macy \| peru \| purdue (1975-1976) / \| 1979 nba draft: 1st row 18 : 1979 \| steve bouchie \| washington \| indiana \| None row 19 : 1980 \| jim master \| ft. wayne harding \| kentucky \| 1984 nba draft: 6th row 20 : 1981 \| dan palombizio \| michigan city rogers \| purdue (1981-1983) / \| None row 21 : 1982 \| roger harden \| valparaiso \| kentucky \| None row 22 : 1983 \| steve alford \| new castle \| indiana \| 1987 nba draft: 2nd row 23 : 1984 (tie) \| troy lewis \| anderson \| purdue \| None row 24 : 1984 (tie) \| delray brooks \| michigan city rogers \| indiana (1984-1985) / \| None row 25 : 1985 \| jeff grose \| warsaw \| northwestern \| None row 26 : 1986 \| mark jewell \| lafayette jefferson \| evansville \| None row 27 : 1989 \| pat graham \| floyd central \| indiana \| None row 28 : 1994 \| bryce drew \| valparaiso \| valparaiso \| 1998 nba draft: 1st ] Execute this SQL based on the above table: select player group by player order by count ( * ) desc limit 1	willie long
[ 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 headquarters where rank < ( select rank where headquarters = 'toronto, on' ) order by rank desc limit 1	columbus, ga
[ header: ship name \| in service \| project number \| type \| class \| comments row 1 : lenin \| 1959 \| 92m \| icebreaker \| None \| decommissioned 1989. museum ship row 2 : arktika \| 1975 \| 1052-1 \| icebreaker \| arktika \| not operational row 3 : sibir \| 1977 \| 1052-2 \| icebreaker \| arktika \| defueled and not operational since 1993 row 4 : rossiya \| 1985 \| 10521-1 \| icebreaker \| arktika \| None row 5 : sevmorput \| 1988 \| 10081 \| container ship \| None \| has ice-breaking bow row 6 : taymyr \| 1989 \| 10580-1 \| river icebreaker \| taymyr \| None row 7 : sovetskiy soyuz \| 1990 \| 10521-2 \| icebreaker \| arktika \| None row 8 : vaygach \| 1990 \| 10580-2 \| river icebreaker \| taymyr \| None row 9 : yamal \| 1993 \| 10521-3 \| icebreaker \| arktika \| None row 10 : 50 let pobedy \| 2007 \| 10521 \| icebreaker \| arktika \| built as ural, completed in 2007 ] Execute this SQL based on the above table: select project number group by project number order by count ( * ) desc limit 1	92m
[ header: edition \| year \| men's winner \| time (h:m:s) \| women's winner \| time (h:m:s) row 1 : 34th \| 2013 \| sean hehir (irl) \| 2:18:19 \| maria mccambridge (ir \| 2:38:51 row 2 : 33rd \| 2012 \| geoffrey ndungu (ken) \| 2:11:09 \| magdalene mukunza ( \| 2:30:46 row 3 : 29th \| 2008 \| andriy naumov (uk \| 2:11:06 \| larisa zyuzko \| 2:29:55 row 4 : 26th \| 2005 \| dmytro osa \| 2:13:14 \| zinaida semenova (rus) \| 2:32:53 row 5 : 25th \| 2004 \| lezan kipkosgei ki \| 2:13:07 \| yelena burykina ( \| 2:32:53 row 6 : 24th \| 2003 \| onesmus musyoka kil \| 2:17:03 \| ruth kutol (ken) \| 2:27:22 row 7 : 23rd \| 2002 \| frederick cherono (ken \| 2:14:25 \| lidiya vasilevskay \| 2:32:58 row 8 : 17th \| 1996 \| joseph kahugu ( \| 2:17:42 \| cathy shum (irl \| 2:38:56 row 9 : 16th \| 1995 \| william musyoki (ken \| 2:16:57 \| trudi thomson (g \| 2:38:23 row 10 : 15th \| 1994 \| steve brace (gbr) \| 2:17:13 \| linda rushmere (gbr \| 2:40:17 row 11 : 14th \| 1993 \| john treacy (irl) \| 2:14:40 \| cathy shum (irl \| 2:38:14 row 12 : 13th \| 1992 \| jerry kiernan (i \| 2:17:19 \| karen cornwall (gbr) \| 2:41:58 row 13 : 12th \| 1991 \| tommy hughes (gbr \| 2:14:46 \| christine kennedy (i \| 2:35:56 row 14 : 11th \| 1990 \| john bolger (irl) \| 2:17:17 \| christine kennedy (i \| 2:41:27 row 15 : 10th \| 1989 \| john griffin (irl) \| 2:16:44 \| pauline nolan (irl) \| 2:44:32 row 16 : 9th \| 1988 \| john griffin (irl) \| 2:16:02 \| moira o'neill ( \| 2:37:06 row 17 : 8th \| 1987 \| pavel klimes (tch) \| 2:14:21 \| carolyn naisby ( \| 2:42:08 row 18 : 6th \| 1985 \| dick hooper (irl \| 2:13:48 \| julia gates (gbr \| 2:41:26 row 19 : 5th \| 1984 \| svend-erik kristen \| 2:18:25 \| ailish smyth (i \| 2:47:30 row 20 : 4th \| 1983 \| ronny agten (bel) \| 2:14:19 \| mary purcell (irl) \| 2:46:09 row 21 : 2nd \| 1981 \| neil cusack (irl \| 2:13:58 \| emily dowling (ir \| 2:48:22 ] Execute this SQL based on the above table: select time (h:m:s) where men's winner = 'dick hooper (irl)'	2:41:26
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 2001 \| world youth championships \| debrecen, hungary \| 2nd \| 400 m \| 47.12 row 2 : 2001 \| world youth championships \| debrecen, hungary \| 1st \| medley relay \| 1:50.46 row 3 : 2001 \| european junior championships \| grosseto, italy \| 1st \| 4x400 m relay \| 3:06.12 row 4 : 2003 \| european junior championships \| tampere, finland \| 3rd \| 400 m \| 46.69 row 5 : 2003 \| european junior championships \| tampere, finland \| 2nd \| 4x400 m relay \| 3:08.62 row 6 : 2005 \| european u23 championships \| erfurt, germany \| 11th (sf) \| 400 m \| 46.62 row 7 : 2005 \| european u23 championships \| erfurt, germany \| 1st \| 4x400 m relay \| 3:04.41 row 8 : 2005 \| universiade \| izmir, turkey \| 7th \| 400 m \| 46.89 row 9 : 2005 \| universiade \| izmir, turkey \| 1st \| 4x400 m relay \| 3:02.57 row 10 : 2006 \| world indoor championships \| moscow, russia \| 2nd (h) \| 4x400 m relay \| 3:06.10 row 11 : 2006 \| european championships \| gothenburg, sweden \| 3rd \| 4x400 m relay \| 3:01.73 row 12 : 2007 \| european indoor championships \| birmingham, united kingdom \| 3rd \| 4x400 m relay \| 3:08.14 row 13 : 2007 \| universiade \| bangkok, thailand \| 7th \| 400 m \| 46.85 row 14 : 2007 \| universiade \| bangkok, thailand \| 1st \| 4x400 m relay \| 3:02.05 row 15 : 2008 \| world indoor championships \| valencia, spain \| 4th \| 4x400 m relay \| 3:08.76 row 16 : 2008 \| olympic games \| beijing, china \| 7th \| 4x400 m relay \| 3:00.32 row 17 : 2009 \| universiade \| belgrade, serbia \| 2nd \| 4x400 m relay \| 3:05.69 ] Execute this SQL based on the above table: select venue where venue = 'bangkok, thailand'	bangkok, thailand, bangkok, thailand
[ header: # \| wrestlers \| reign \| date \| days held \| location \| event \| notes row 1 : 1 \| los perros del mal (bestia \| 1 \| november 28, 2010 \| 311 \| cuautitlan izcalli \| iwl house show \| los perros del mal defeated los traumas row 2 : None \| vacated \| None \| october 5, 2011 \| None \| tlalnepantla, \| announced on iwl official's facebook \| after bestia 666 and x- row 3 : 2 \| scorpio, jr. \| 1 \| october 22, 2011 \| 580 \| tlalnepantla, \| iwl oktoberfest \| scorpio, jr. row 4 : None \| vacated \| None \| may 2011 \| None \| None \| announced on iwl official's facebook \| None row 5 : 3 \| ultimo gladiador and ul \| 1 \| june 16, 2013 \| 145 \| huehuetoca, state of me \| iwl oktoberfest \| defeated los piratas (hijo de row 6 : None \| vacated \| None \| november 5, 2011 \| None \| None \| the iwl explained that ultim \| None row 7 : 4 \| dinamic black & freser \| 1 \| november 5, 2013 \| 231 \| hidalgo, state of mexico \| live event \| defeated mascara jr. & ul ] Execute this SQL based on the above table: select date group by date order by count ( notes ) desc limit 1	october 5, 2011
[ header: year \| division \| league \| regular season \| playoffs \| open cup \| avg. attendance row 1 : 2001 \| 2 \| usl a-league \| 4th, western \| quarterfinals \| did not qualify \| 7169 row 2 : 2002 \| 2 \| usl a-league \| 2nd, pacific \| 1st round \| did not qualify \| 6260 row 3 : 2003 \| 2 \| usl a-league \| 3rd, pacific \| did not qualify \| did not qualify \| 5871 row 4 : 2004 \| 2 \| usl a-league \| 1st, western \| quarterfinals \| 4th round \| 5628 row 5 : 2005 \| 2 \| usl first division \| 5th \| quarterfinals \| 4th round \| 6028 row 6 : 2006 \| 2 \| usl first division \| 11th \| did not qualify \| 3rd round \| 5575 row 7 : 2007 \| 2 \| usl first division \| 2nd \| semifinals \| 2nd round \| 6851 row 8 : 2008 \| 2 \| usl first division \| 11th \| did not qualify \| 1st round \| 8567 row 9 : 2009 \| 2 \| usl first division \| 1st \| semifinals \| 3rd round \| 9734 row 10 : 2010 \| 2 \| ussf d-2 pro league \| 3rd, usl (3rd) \| quarterfinals \| 3rd round \| 10727 ] Execute this SQL based on the above table: select regular season order by open cup limit 1	11th
[ header: name \| parentage \| size \| flower colour \| flower type row 1 : cornish snow \| cuspidata × saluenens \| 04.0m2 \| white \| single row 2 : cornish spring \| cuspidata × saluenens \| 04.0m2 \| pink \| single row 3 : francie l \| reticulata × saluen \| 64.0m2 \| rose-pink \| double row 4 : freedom bell \| × williamsii \| 06.5m2 \| red \| semi-double row 5 : inspiration \| reticulata × saluen \| 10.0m2 \| rose-pink \| semi-double row 6 : leonard messel \| reticulata × saluen \| 16.0m2 \| rose-pink \| semi-double row 7 : royalty \| japonica × reticulata \| 01.0m2 \| light red \| semi-double row 8 : spring festival \| × williamsii, cu \| 10.0m2 \| pink \| semi-double row 9 : tom knudsen \| japonica × reticulata \| 06.3m2 \| deep red \| double paeony row 10 : tristrem carlyon \| reticulata \| 10.0m2 \| rose-pink \| double paeony ] Execute this SQL based on the above table: select flower type where id = ( select id where flower type = 'double paeony' ) + 1	double paeony
[ header: club \| played \| won \| drawn \| lost \| points for \| points against \| bonus points \| points row 1 : biarritz olympique \| 26 \| 19 \| None \| 7 \| 694 \| 350 \| 14 \| 90 row 2 : stade francais \| 26 \| 19 \| None \| 7 \| 633 \| 437 \| 13 \| 89 row 3 : stade toulousain \| 26 \| 19 \| None \| 7 \| 713 \| 427 \| 12 \| 88 row 4 : usa perpignan \| 26 \| 18 \| None \| 8 \| 671 \| 398 \| 12 \| 84 row 5 : su agen \| 26 \| 15 \| None \| 11 \| 655 \| 540 \| 10 \| 70 row 6 : cs bourgoin-jal \| 26 \| 14 \| None \| 12 \| 591 \| 516 \| 11 \| 67 row 7 : castres olympique \| 26 \| 13 \| None \| 13 \| 685 \| 559 \| 14 \| 66 row 8 : asm clermont \| 26 \| 14 \| None \| 12 \| 577 \| 569 \| 7 \| 63 row 9 : ca brive \| 26 \| 10 \| 1 \| 15 \| 431 \| 553 \| 9 \| 51 row 10 : rc narbonne \| 26 \| 11 \| None \| 15 \| 533 \| 775 \| 3 \| 47 row 11 : montpellier rc \| 26 \| 9 \| 0 \| 17 \| 574 \| 659 \| 10 \| 46 row 12 : aviron bayonnais \| 26 \| 8 \| 1 \| 17 \| 514 \| 669 \| 9 \| 43 row 13 : section paloise \| 26 \| 9 \| 0 \| 17 \| 476 \| 790 \| 4 \| 40 row 14 : rc toulonnais \| 26 \| 3 \| 0 \| 23 \| 332 \| 837 \| 7 \| 19 ] Execute this SQL based on the above table: select count ( club ) where club = 'asm clermont'	1
[ header: pennant \| name \| hull builder \| ordered \| laid down \| launched \| accepted into service \| commissioned \| est. building cost \| fate row 1 : f169 \| amazon \| vosper thornycroft, woolston \| 26 march 1969 \| 6 november 1969 \| 26 april 1971 \| 19 july 1974 \| 11 may 1974 \| £16.8m \| to pakistan as babur row 2 : f170 \| antelope \| vosper thornycroft \| 11 may 1970 \| 23 march 1971 \| 16 march 1972 \| 30 june 1975 \| 16 july 1975 \| £14.4m \| bombed by argentine a-4 row 3 : f172 \| ambuscade \| yarrow shipbuilders, scot \| 11 november 1971 \| 1 september 1971 \| 18 january 1973 \| 23 august 1975 \| 5 september 1975 \| £16.5m \| to pakistan as tariq row 4 : f173 \| arrow \| ysl \| 11 november 1971 \| 28 september 1972 \| 5 february 1974 \| 16 may 1975 \| 29 july 1976 \| £20.2m \| to pakistan as khaibar row 5 : f171 \| active \| vosper thornycroft \| 11 may 1970 \| 21 july 1971 \| 23 november 1972 \| 2 june 1977 \| 17 june 1977 \| £24.1m \| to pakistan as shah ja row 6 : f174 \| alacrity \| ysl \| 11 november 1971 \| 5 march 1973 \| 18 september 1974 \| 2 april 1977 \| 2 july 1977 \| £23.8m \| to pakistan as badr row 7 : f184 \| ardent \| ysl \| 11 november 1971 \| 26 february 1974 \| 9 may 1975 \| 10 september 1977 \| 14 october 1977 \| £26.3m \| bombed by argentine a-4 row 8 : f185 \| avenger \| ysl \| 11 november 1971 \| 30 october 1974 \| 20 november 1975 \| 15 april 1978 \| 15 april 1978 \| £27.7m \| to pakistan as tippu s ] Execute this SQL based on the above table: select name where name != 'alacrity' and hull builder = ( select hull builder where name = 'alacrity' )	arrow, ardent, avenger
[ header: tie no \| home team \| score \| away team \| date row 1 : 1 \| leicester city \| 1-2 \| manchester united \| 14 february 1976 row 2 : 2 \| bolton wanderers \| 3-3 \| newcastle united \| 14 february 1976 row 3 : replay \| newcastle united \| 0-0 \| bolton wanderers \| 18 february 1976 row 4 : replay \| bolton wanderers \| 1-2 \| newcastle united \| 23 february 1976 row 5 : 3 \| wolverhampton wanderers \| 3-0 \| charlton athletic \| 14 february 1976 row 6 : 4 \| west bromwich albion \| 1-1 \| southampton \| 14 february 1976 row 7 : replay \| southampton \| 4-0 \| west bromwich albion \| 17 february 1976 row 8 : 5 \| derby county \| 1-0 \| southend united \| 14 february 1976 row 9 : 6 \| norwich city \| 1-2 \| bradford city \| 23 february 1976 row 10 : 7 \| chelsea \| 2-3 \| crystal palace \| 14 february 1976 row 11 : 8 \| stoke city \| 0-0 \| sunderland \| 14 february 1976 row 12 : replay \| sunderland \| 2-1 \| stoke city \| 17 february 1976 ] Execute this SQL based on the above table: select home team where score = '4-0'	southampton
[ header: county \| fips code \| county seat \| created \| origin \| etymology \| population estimate (2011) \| area row 1 : alamance county \| 1 \| graham \| 1849 \| orange county \| the battle of alamance which was derived \| 153291 \| 435 sq mi (1,127 km2) row 2 : clay county \| 43 \| hayesville \| 1861 \| cherokee county \| henry clay (1777-1852), states \| 10563 \| 221 sq mi (572 km2) row 3 : dare county \| 55 \| manteo \| 1870 \| currituck county, hyde \| virginia dare (b. 1587 \| 34307 \| 1,562 sq mi (4,046 km2) row 4 : duplin county \| 61 \| kenansville \| 1750 \| new hanover county \| thomas hay, viscount du \| 59542 \| 819 sq mi (2,121 km2) row 5 : gaston county \| 71 \| gastonia \| 1846 \| lincoln county \| william gaston (1778-1844), \| 207031 \| 364 sq mi (943 km2) row 6 : greene county \| 79 \| snow hill \| 1799 \| dobbs county originally named glasgo \| nathanael greene (17 \| 21556 \| 266 sq mi (689 km2) row 7 : henderson county \| 89 \| hendersonville \| 1838 \| buncombe county \| leonard henderson (1772-18 \| 107927 \| 375 sq mi (971 km2) row 8 : mitchell county \| 121 \| bakersville \| 1861 \| burke county, caldwell county, m \| elisha mitchell (1793 \| 15445 \| 222 sq mi (575 km2) row 9 : wilson county \| 195 \| wilson \| 1855 \| edgecombe county, johnston county, \| louis d. wilson, \| 81452 \| 374 sq mi (969 km2) row 10 : yadkin county \| 197 \| yadkinville \| 1850 \| surry county \| the yadkin river \| 38279 \| 337 sq mi (873 km2) ] Execute this SQL based on the above table: select count ( * ) where origin = 'edgecombe county, johnston county, nash county, and wayne county'	1
[ header: record \| date \| result \| opponent \| location \| method \| round row 1 : 13-0 \| 07/12/2013 \| win \| igor pylypenko \| porsche arena, stuttgart, \| unanimous decision \| 6 row 2 : 12-0 \| 27/10/2013 \| win \| alphonce mchumiatumb \| sarajevo, bosn \| decision \| 8 row 3 : 11-0 \| 06/07/2013 \| win \| alexander vasiliev \| westfalenhalle, dortmund, \| tko \| 2 row 4 : 10-0 \| 02/02/2013 \| win \| niko falin \| iss dome, dusseldorf, germany \| unanimous decision \| 6 row 5 : 9-0 \| 02/12/2012 \| win \| ladislav kovarik \| esprit arena, dusseldorf, germany \| unanimous decision \| 6 row 6 : 8-0 \| 06/08/2012 \| win \| ivica perkovic \| sarajevo, bosn \| unanimous decision \| 12 row 7 : 7-0 \| 04/13/2012 \| win \| aliaksandr makaranka \| lanxess arena, c \| ko \| 1 row 8 : 6-0 \| 12/17/2011 \| win \| ferenc zsalek \| sarajevo, bosn \| ko \| 3 row 9 : 5-0 \| 12/02/2011 \| win \| liridon memishi \| sap arena, mannheim, germany \| unanimous decision \| 6 row 10 : 4-0 \| 06/25/2011 \| win \| werner kreiskott \| lanxess arena, c \| unanimous decision \| 6 row 11 : 3-0 \| 02/19/2011 \| win \| ergin solmaz \| porsche arena, stuttgart, \| unanimous decision \| 4 row 12 : 2-0 \| 09/03/2004 \| win \| tomasz zeprzalka \| gorazde, bosnia and \| tko \| 2 row 13 : 1-0 \| 02/07/2004 \| win \| ergin solmaz \| sarajevo, bosn \| unanimous decision \| 4 ] Execute this SQL based on the above table: select location where location in ( 'sarajevo, bosnia and herzegovina' , 'porsche arena, stuttgart, germany' ) group by location order by count ( * ) desc limit 1	sarajevo, bosnia and herzegovina
[ 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 count ( opponent ) where week > 5	12
[ header: release \| artist \| title \| notes \| album row 1 : 2004 \| hiroshi itsuki feat. \| deigo to hanasu ( \| None \| onna no ehon row 2 : 2005 \| chikuzen sato with \| boku no mune de oya \| features on "rimits: best duet songs \| the selection of cornerstones 1995-2004 row 3 : 2005 \| rimi natsukawa \| 'aa koshien' \| None \| ningen manyoka: y row 4 : 2005 \| kaoru kurosawa duet \| manten no hoshi no yoru \| features on "rimits: best duet songs \| love anthem row 5 : 2006 \| andrea bocelli duet with rim \| somos novios (ai no \| features on "umui kaji" \| amore (japanese edition row 6 : 2008 \| taiyo yamazawa \| utabito (歌人 singer?) \| None \| music tree row 7 : 2009 \| chage with rimi natsu \| boku wa do kana (僕はとうかな what \| None \| many happy returns row 8 : 2009 \| rimi natsukawa \| tada sore dake ( \| None \| katsuhisa hattori ] Execute this SQL based on the above table: select count ( * ) where artist = 1352	0
[ header: \| name \| took office \| left office \| party \| notes/events row 1 : 4 \| uriah forrest \| march 4, 1793 \| november 8, 1794 \| pro-administration \| resigned row 2 : 7 \| william craik \| december 5, 1796 \| march 3, 1801 \| federalist \| None row 3 : 10 \| philip barton key \| march 4, 1807 \| march 3, 1813 \| federalist \| None row 4 : 11 \| alexander contee hanson \| march 4, 1813 \| 1816 \| federalist \| resigned row 5 : 12 \| george peter \| october 7, 1816 \| march 3, 1819 \| federalist \| None row 6 : 13 \| henry ridgely warfield \| march 4, 1819 \| march 3, 1823 \| federalist \| None row 7 : 13 \| henry ridgely warfield \| march 4, 1823 \| march 3, 1825 \| adams federalist \| None row 8 : 15 \| george corbin washington \| march 4, 1827 \| march 3, 1829 \| adams \| None row 9 : 15 \| george corbin washington \| march 4, 1829 \| march 3, 1833 \| anti-jacksonian \| None row 10 : 17 \| james turner \| march 4, 1833 \| march 3, 1837 \| jacksonian \| None row 11 : 18 \| john tolley hood worthington \| march 4, 1837 \| march 3, 1841 \| democratic \| None row 12 : 19 \| james wray williams \| march 4, 1841 \| december 2, 1842 \| democratic \| died row 13 : 21 \| john wethered \| march 4, 1843 \| march 3, 1845 \| whig \| None row 14 : 27 \| henry winter davis \| march 4, 1863 \| march 3, 1865 \| unconditional unionist \| None row 15 : 29 \| thomas swann \| march 4, 1869 \| march 3, 1873 \| democratic \| redistricted to the 4th district row 16 : 30 \| william james o'bri \| march 4, 1873 \| march 3, 1877 \| democratic \| None row 17 : 31 \| william kimmel \| march 4, 1877 \| march 3, 1881 \| democratic \| None row 18 : 32 \| fetter schrier hoblitzell \| march 4, 1881 \| march 3, 1885 \| democratic \| None row 19 : 36 \| frank charles wachter \| march 4, 1899 \| march 3, 1907 \| democratic \| None row 20 : 37 \| harry benjamin wolf \| march 4, 1907 \| march 3, 1909 \| democratic \| None row 21 : 39 \| george konig \| march 4, 1911 \| may 31, 1913 \| democratic \| died row 22 : 40 \| charles pearce coady \| november 4, 1913 \| march 3, 1921 \| democratic \| None row 23 : 41 \| john boynton philip clayton \| march 4, 1921 \| march 3, 1927 \| republican \| None row 24 : 43 \| thomas d'alesandro \| january 3, 1939 \| may 16, 1947 \| democratic \| resigned to become mayor of balti row 25 : 44 \| edward garmatz \| july 15, 1947 \| january 3, 1973 \| democratic \| None row 26 : 45 \| paul sarbanes \| january 3, 1973 \| january 3, 1977 \| democratic \| redistricted from the 4th district row 27 : 46 \| barbara mikulski \| january 3, 1977 \| january 3, 1987 \| democratic \| None row 28 : 47 \| benjamin cardin \| january 3, 1987 \| january 3, 2007 \| democratic \| None ] Execute this SQL based on the above table: select took office where took office in ( 'democratic' , 'march 4, 1833' ) order by desc limit 1	march 4, 1833
[ header: no. \| dub no. \| english dubbed title / english subbed title original japanese title \| original air date \| english air date row 1 : 6 \| None \| "protect the melody of love! usagi is \| april 18, 1992 \| None row 2 : 9 \| 6 \| "time bomb" / "usagi' \| may 9, 1992 \| september 18, 1995 row 3 : 12 \| 9 \| "cruise blues" / " \| may 30, 1992 \| september 21, 1995 row 4 : 14 \| 11 \| "match point for sailor moon" \| june 13, 1992 \| september 25, 1995 row 5 : 19 \| 16 \| "who is that masked man?" \| july 25, 1992 \| october 2, 1995 row 6 : 24 \| 20 \| "a friend in wolf's clothing" \| august 29, 1992 \| october 6, 1995 row 7 : 26 \| 22 \| "the power of friendship" / "b \| september 12, 1992 \| october 10, 1995 row 8 : 34 \| 30 \| "a crystal clear destiny" / "the \| november 28, 1992 \| october 20, 1995 row 9 : 36 \| 32 \| "bad hair day" / "usagi \| december 12, 1992 \| october 24, 1995 row 10 : 40 \| 36 \| "last resort" / "the legendary lake \| january 16, 1993 \| october 30, 1995 ] Execute this SQL based on the above table: select original air date where english air date in ( '9' , 'october 20, 1995' ) order by english dubbed title / english subbed title original japanese title asc limit 1	november 28, 1992
[ header: pennant \| name \| hull builder \| ordered \| laid down \| launched \| accepted into service \| commissioned \| est. building cost \| fate row 1 : f169 \| amazon \| vosper thornycroft, woolston \| 26 march 1969 \| 6 november 1969 \| 26 april 1971 \| 19 july 1974 \| 11 may 1974 \| £16.8m \| to pakistan as babur row 2 : f170 \| antelope \| vosper thornycroft \| 11 may 1970 \| 23 march 1971 \| 16 march 1972 \| 30 june 1975 \| 16 july 1975 \| £14.4m \| bombed by argentine a-4 row 3 : f172 \| ambuscade \| yarrow shipbuilders, scot \| 11 november 1971 \| 1 september 1971 \| 18 january 1973 \| 23 august 1975 \| 5 september 1975 \| £16.5m \| to pakistan as tariq row 4 : f173 \| arrow \| ysl \| 11 november 1971 \| 28 september 1972 \| 5 february 1974 \| 16 may 1975 \| 29 july 1976 \| £20.2m \| to pakistan as khaibar row 5 : f171 \| active \| vosper thornycroft \| 11 may 1970 \| 21 july 1971 \| 23 november 1972 \| 2 june 1977 \| 17 june 1977 \| £24.1m \| to pakistan as shah ja row 6 : f174 \| alacrity \| ysl \| 11 november 1971 \| 5 march 1973 \| 18 september 1974 \| 2 april 1977 \| 2 july 1977 \| £23.8m \| to pakistan as badr row 7 : f184 \| ardent \| ysl \| 11 november 1971 \| 26 february 1974 \| 9 may 1975 \| 10 september 1977 \| 14 october 1977 \| £26.3m \| bombed by argentine a-4 row 8 : f185 \| avenger \| ysl \| 11 november 1971 \| 30 october 1974 \| 20 november 1975 \| 15 april 1978 \| 15 april 1978 \| £27.7m \| to pakistan as tippu s ] Execute this SQL based on the above table: select ordered order by hull builder limit 1821	11 may 1970, 11 may 1970, 26 march 1969, 11 november 1971, 11 november 1971, 11 november 1971, 11 november 1971, 11 november 1971
[ header: city \| country \| airport \| begin \| end row 1 : aberdeen \| united kingdom \| aberdeen airport \| 1999 \| None row 2 : alesund \| norway \| alesund airport, vigra \| 1971 \| None row 3 : alta \| norway \| alta airport \| 1974 \| None row 4 : batsfjord \| norway \| batsfjord airport \| 1999 \| None row 5 : bodø \| norway \| bodø airport \| 1968 \| None row 6 : brønnøysund \| norway \| brønnøysund airport, \| 1968 \| None row 7 : fagernes \| norway \| fagernes airport, leirin \| 1999 \| 2000 row 8 : florø \| norway \| florø airport \| 1971 \| None row 9 : førde \| norway \| førde airport, bringel \| 1986 \| None row 10 : førde \| norway \| førde airport, øy \| 1971 \| 1986 row 11 : glasgow \| united kingdom \| glasgow international airport \| 1997 \| 1999 row 12 : gothenburg \| sweden \| gothenburg-landvetter airport \| 1996 \| None row 13 : hammerfest \| norway \| hammerfest airport \| 1974 \| None row 14 : haugesund \| norway \| haugesund airport, karmø \| 2010 \| None row 15 : harstad/narvik \| norway \| harstad/narvik airport, \| 1975 \| None row 16 : kirkenes \| norway \| kirkenes airport, hø \| 1974 \| None row 17 : kristiansand \| norway \| kristiansand airport, kje \| 1991 \| None row 18 : lakselv \| norway \| lakselv airport, banak \| 1974 \| None row 19 : leknes \| norway \| leknes airport \| 1972 \| None row 20 : lerwick \| united kingdom \| sumburgh airport \| 1995 \| 2005 row 21 : london \| united kingdom \| london stansted airport \| 1989 \| 1992 row 22 : molde \| norway \| molde airport, arø \| 1972 \| None row 23 : murmansk \| russia \| murmansk airport \| 1994 \| 2000 row 24 : narvik \| norway \| narvik airport, framnes \| 1975 \| None row 25 : namsos \| norway \| namsos airport, hø \| 1968 \| None row 26 : newcastle \| united kingdom \| newcastle airport \| 2006 \| None row 27 : ørland \| norway \| ørland airport \| 1971 \| 1987 row 28 : ørsta/volda \| norway \| ørsta-volda airport, \| 1971 \| None row 29 : oslo \| norway \| oslo airport, forne \| 1974 \| 1998 row 30 : oslo \| norway \| oslo airport, gardermo \| 1998 \| None row 31 : rønne \| denmark \| bornholm airport \| 2007 \| None row 32 : sandefjord \| norway \| sandefjord airport, to \| 1989 \| None row 33 : sandnessjøen \| norway \| sandnessjøen airport, \| 1968 \| None row 34 : sogndal \| norway \| sogndal airport, haukas \| 1971 \| None row 35 : stavanger \| norway \| stavanger airport, sola \| 1989 \| None row 36 : svolvær \| norway \| svolvær airport, helle \| 1972 \| None row 37 : tromsø \| norway \| tromsø airport \| 1974 \| None row 38 : umea \| sweden \| umea airport \| 1995 \| 1995 ] Execute this SQL based on the above table: select begin order by end asc limit 1	1999
[ header: position \| nation \| number \| name \| soproni liga \| uefa cup \| hungarian cup \| league cup \| total row 1 : 1 \| \| 14 \| gergely rudolf \| 16 \| 3 \| 0 \| 0 \| 19 row 2 : 2 \| \| 41 \| lorant olah \| 12 \| 1 \| 0 \| 0 \| 13 row 3 : 3 \| \| 99 \| omagbemi dudu \| 4 \| 1 \| 5 \| 0 \| 10 row 4 : 4 \| \| 55 \| peter szakaly \| 9 \| 0 \| 0 \| 0 \| 9 row 5 : 5 \| \| 77 \| peter czvitkovics \| 7 \| 0 \| 0 \| 0 \| 7 row 6 : 6 \| \| 4 \| leandro de almeida \| 5 \| 0 \| 1 \| 0 \| 6 row 7 : 7 \| \| 17 \| norbert meszaros \| 3 \| 0 \| 0 \| 0 \| 3 row 8 : 8 \| \| 8 \| zsombor kerekes \| 1 \| 0 \| 2 \| 0 \| 3 row 9 : 9 \| \| 10 \| igor bogdanovic \| 0 \| 0 \| 3 \| 0 \| 3 row 10 : 10 \| \| 2 \| istvan szucs \| 2 \| 0 \| 0 \| 0 \| 2 row 11 : 11 \| \| 30 \| zoltan kiss \| 2 \| 0 \| 0 \| 0 \| 2 row 12 : 12 \| \| 23 \| peter szilagyi \| 2 \| 0 \| 0 \| 0 \| 2 row 13 : 13 \| \| 7 \| tibor dombi \| 2 \| 0 \| 0 \| 0 \| 2 row 14 : 14 \| \| 13 \| peter biro \| 1 \| 0 \| 0 \| 0 \| 1 row 15 : 15 \| \| 27 \| gabor demjen \| 1 \| 0 \| 0 \| 0 \| 1 row 16 : 16 \| \| 19 \| vinicius galvao leal \| 1 \| 0 \| 0 \| 0 \| 1 row 17 : 17 \| \| 1 \| vukasin poleksic \| 1 \| 0 \| 0 \| 0 \| 1 row 18 : 18 \| \| 83 \| zoltan varga \| 0 \| 0 \| 1 \| 0 \| 1 row 19 : 19 \| \| 16 \| adam komlosi \| 0 \| 0 \| 1 \| 0 \| 1 row 20 : None \| \| None \| own goals \| 1 \| 0 \| 0 \| 0 \| 1 row 21 : None \| \| None \| totals \| 70 \| 5 \| 13 \| 0 \| 88 ] Execute this SQL based on the above table: select name where soproni liga = 1 and soproni liga = 1	zsombor kerekes, peter biro, gabor demjen, vinicius galvao leal, vukasin poleksic, own goals
[ header: team \| constructor \| motorcycle \| tyres \| no \| rider \| rounds row 1 : camel yamaha team \| yamaha \| yamaha yzr-m1 \| m \| 5 \| colin edwards \| all row 2 : camel yamaha team \| yamaha \| yamaha yzr-m1 \| m \| 46 \| valentino rossi \| all row 3 : konica minolta honda \| honda \| honda rc211v \| m \| 6 \| makoto tamada \| all row 4 : tech 3 yamaha \| yamaha \| yamaha yzr-m1 \| d \| 7 \| carlos checa \| all row 5 : tech 3 yamaha \| yamaha \| yamaha yzr-m1 \| d \| 77 \| james ellison \| all row 6 : ducati marlboro team \| ducati \| ducati desmosedici gp \| b \| 15 \| sete gibernau \| 1-7, 10-11, 13-16 row 7 : ducati marlboro team \| ducati \| ducati desmosedici gp \| b \| 65 \| loris capirossi \| all row 8 : ducati marlboro team \| ducati \| ducati desmosedici gp \| b \| 66 \| alex hofmann \| 8-9, 12 row 9 : ducati marlboro team \| ducati \| ducati desmosedici gp \| b \| 12 \| troy bayliss \| 17 row 10 : kawasaki racing team \| kawasaki \| kawasaki ninja z \| b \| 17 \| randy de puniet \| all row 11 : kawasaki racing team \| kawasaki \| kawasaki ninja z \| b \| 56 \| shinya nakano \| all row 12 : kawasaki racing team \| kawasaki \| kawasaki ninja z \| b \| 8 \| naoki matsudo \| 15 row 13 : rizla suzuki motogp \| suzuki \| suzuki gsv-r \| b \| 21 \| john hopkins \| all row 14 : rizla suzuki motogp \| suzuki \| suzuki gsv-r \| b \| 71 \| chris vermeulen \| all row 15 : repsol honda team \| honda \| honda rc211v \| m \| 26 \| dani pedrosa \| all row 16 : repsol honda team \| honda \| honda rc211v \| m \| 69 \| nicky hayden \| all row 17 : honda lcr \| honda \| honda rc211v \| m \| 27 \| casey stoner \| all row 18 : pramac d'antin moto \| ducati \| ducati desmosedici gp \| d \| 30 \| jose luis cardoso \| all row 19 : pramac d'antin moto \| ducati \| ducati desmosedici gp \| d \| 66 \| alex hofmann \| 1-7, 10-11, 13-17 row 20 : pramac d'antin moto \| ducati \| ducati desmosedici gp \| d \| 22 \| ivan silva \| 8-9, 12 row 21 : fortuna honda \| honda \| honda rc211v \| m \| 24 \| toni elias \| 1-8, 10-17 row 22 : fortuna honda \| honda \| honda rc211v \| m \| 33 \| marco melandri \| all row 23 : fortuna honda \| honda \| honda rc211v \| m \| 84 \| michel fabrizio \| 9 ] Execute this SQL based on the above table: select count ( * )	23
[ header: # \| title \| performer(s) \| film \| length row 1 : 1 \| "a dream is a wish your heart makes \| disney channel stars \| cinderella \| 3:46 row 2 : 2 \| "zip-a-dee-do \| miley cyrus \| song of the south \| 3:06 row 3 : 3 \| "if i never knew you" \| the cheetah girls \| pocahontas \| 3:16 row 4 : 4 \| "who's afraid of the big bad \| b5 \| three little pigs \| 3:32 row 5 : 5 \| "reflection" (remix) \| christina aguilera \| mulan \| 3:15 row 6 : 6 \| "i'll try" \| jesse mccartney \| return to never land \| 3:51 row 7 : 7 \| "look through my eyes" \| everlife \| brother bear \| 3:11 row 8 : 8 \| "candle on the water" \| anneliese van der pol \| pete's dragon \| 3:08 row 9 : 9 \| "you'll be in my heart" \| teddy geiger \| tarzan \| 4:15 row 10 : 10 \| "yo ho (a pirate's life \| jonas brothers \| pirates of the caribbean \| 2:04 row 11 : 11 \| "someday my prince will come (feat \| ashley tisdale \| snow white and the seven dwarfs \| 3:31 row 12 : 12 \| "hawaiian roller coaster ride \| baha men \| lilo & stitch \| 3:30 row 13 : 13 \| "can you feel the love tonight" \| sara paxton \| the lion king \| 3:40 row 14 : 14 \| "super cali (boiob \| orlando brown \| mary poppins \| 3:32 row 15 : 15 \| "monkey's uncle" \| devo 2.0 \| the monkey's uncle \| 2:24 row 16 : 16 \| "cruella de vil" 1 \| skye sweetnam \| 101 dalmatians \| 2:55 row 17 : 17 \| "go the distance" 1 \| k-ci & jojo \| hercules \| 4:10 ] Execute this SQL based on the above table: select title order by length desc limit 1	"you'll be in my heart"
[ header: match \| date \| ground \| opponent \| score1 \| pos. \| pts. \| gd row 1 : 2 \| 22 august \| h \| 1. fc kaiserslau \| 1 - 0 \| 1 \| 4 \| 4 row 2 : 4 \| 29 august \| h \| dynamo dresden \| 3 - 1 \| 1 \| 6 \| 6 row 3 : 5 \| 2 september \| a \| 1. fc koln \| 3 - 1 \| 1 \| 8 \| 8 row 4 : 6 \| 5 september \| h \| hamburger sv \| 4 - 0 \| 1 \| 10 \| 12 row 5 : 7 \| 19 september \| h \| sg wattenscheid 09 \| 1 - 1 \| 1 \| 11 \| 12 row 6 : 8 \| 25 september \| a \| borussia dortmund \| 2 - 1 \| 1 \| 13 \| 13 row 7 : 9 \| 3 october \| h \| borussia monchengladbach \| 2 - 2 \| 1 \| 14 \| 13 row 8 : 10 \| 17 october \| a \| 1. fc saarbrucken \| 1 - 1 \| 1 \| 15 \| 13 row 9 : 11 \| 24 october \| h \| werder bremen \| 1 - 3 \| 1 \| 15 \| 11 row 10 : 3 \| 27 october \| a \| eintracht frankfurt \| 1 - 1 \| 1 \| 16 \| 11 row 11 : 12 \| 31 october \| a \| vfb stuttgart \| 3 - 2 \| 1 \| 18 \| 12 row 12 : 14 \| 21 november \| a \| bayer leverkusen \| 4 - 2 \| 1 \| 22 \| 15 row 13 : 15 \| 28 november \| h \| karlsruher sc \| 3 - 3 \| 1 \| 23 \| 15 row 14 : 16 \| 5 december \| a \| vfl bochum \| 2 - 2 \| 1 \| 24 \| 15 row 15 : 19 \| 27 february \| a \| 1. fc kaiserslau \| 3 - 1 \| 1 \| 29 \| 19 row 16 : 20 \| 6 march \| h \| eintracht frankfurt \| 1 - 0 \| 1 \| 31 \| 20 row 17 : 22 \| 20 march \| h \| 1. fc koln \| 3 - 0 \| 1 \| 34 \| 23 row 18 : 23 \| 28 march \| a \| hamburger sv \| 1 - 3 \| 1 \| 34 \| 21 row 19 : 24 \| 2 april \| a \| sg wattenscheid 09 \| 0 - 2 \| 1 \| 34 \| 19 row 20 : 25 \| 10 april \| h \| borussia dortmund \| 2 - 0 \| 1 \| 36 \| 21 row 21 : 26 \| 17 april \| a \| borussia monchengladbach \| 2 - 2 \| 1 \| 37 \| 21 row 22 : 27 \| 23 april \| h \| 1. fc saarbrucken \| 6 - 0 \| 1 \| 39 \| 27 row 23 : 28 \| 26 april \| a \| werder bremen \| 1 - 4 \| 1 \| 39 \| 24 row 24 : 30 \| 8 may \| a \| 1. fc nurnberg \| 0 - 0 \| 1 \| 42 \| 26 row 25 : 31 \| 15 may \| h \| bayer leverkusen \| 4 - 1 \| 1 \| 44 \| 29 row 26 : 32 \| 23 may \| a \| karlsruher sc \| 2 - 4 \| 1 \| 44 \| 27 row 27 : 33 \| 29 may \| h \| vfl bochum \| 3 - 1 \| 2 \| 46 \| 29 row 28 : 34 \| 5 june \| a \| schalke 04 \| 3 - 3 \| 2 \| 47 \| 29 ] Execute this SQL based on the above table: select pos. where opponent = 'borussia monchengladbach'	1, 1
[ header: game \| date \| team \| score \| high points \| high rebounds \| high assists \| location attendance \| record row 1 : 75 \| april 1 \| @ sacramento \| w 99-90 \| raymond felton (17) \| nene (12) \| nene (6) \| power balance pavilion 15,871 \| 46-29 row 2 : 76 \| april 3 \| @ l.a. lakers \| w 95-90 \| danilo gallinari (22) \| kenyon martin (8) \| ty lawson (8) \| staples center 18,997 \| 47-29 row 3 : 77 \| april 5 \| oklahoma city \| l 94-101 \| ty lawson (28) \| nene (8) \| ty lawson (5) \| pepsi center 18,203 \| 47-30 row 4 : 78 \| april 6 \| @ dallas \| w 104-96 \| j. r. smith (23) \| nene (15) \| ty lawson (8) \| american airlines center 20,364 \| 48-30 row 5 : 79 \| april 8 \| @ oklahoma city \| l 89-104 \| nene (18) \| kenyon martin (13) \| ty lawson (6) \| oklahoma city arena 18,203 \| 48-31 row 6 : 80 \| april 9 \| minnesota \| w 130-106 \| ty lawson (37) \| kenyon martin, j \| raymond felton (14) \| pepsi center 19,155 \| 49-31 row 7 : 81 \| april 11 \| golden state \| w 134-111 \| j. r. smith (22) \| chris andersen (12) \| raymond felton (10) \| pepsi center 19,155 \| 50-31 row 8 : 82 \| april 13 \| @ utah \| l 103-107 \| wilson chandler (27) \| chris andersen (10) \| wilson chandler, gary \| energysolutions arena 19,051 \| 50-32 ] Execute this SQL based on the above table: select score where id = ( select id where game = 78 ) - 1	l 94-101
[ header: # \| date \| opponent \| score \| win \| loss \| save \| attendance \| record row 1 : 79 \| july 1 \| @ braves \| 8-4 \| gonzalez (11-3) \| hudson (6-4) \| None \| 18796 \| 45-32 row 2 : 82 \| july 5 \| giants \| 6-5 \| clippard (2-2) \| casilla (2-4) \| None \| 29819 \| 48-32 row 3 : 83 \| july 6 \| rockies \| 1-5 \| pomeranz (1-3) \| strasburg (9-4) \| betancourt (14) \| 28951 \| 48-33 row 4 : 84 \| july 7 \| rockies \| 4-1 \| gonzalez (12-3) \| francis (2-2) \| clippard (14) \| 28032 \| 49-33 row 5 : 85 \| july 8 \| rockies \| 3-4 \| brothers (4-2) \| clippard (2-3) \| betancourt (15) \| 25125 \| 49-34 row 6 : None \| july 10 \| 2012 major league baseball all-star game in \| None \| None \| None \| None \| None \| None row 7 : 86 \| july 13 \| @ marlins \| 5-1 \| zimmermann (6-6) \| johnson (5-6) \| None \| 30911 \| 50-34 row 8 : 88 \| july 15 \| @ marlins \| 4-0 \| strasburg (10-4) \| nolasco (8-7) \| None \| 29889 \| 51-35 row 9 : 89 \| july 16 \| @ marlins \| 3-5 \| zambrano (5-7) \| jackson (5-5) \| dunn (1) \| 29248 \| 51-36 row 10 : 91 \| july 18 \| mets \| 4-3 \| zimmermann (7-6) \| young (2-4) \| clippard (15) \| 31660 \| 53-36 row 11 : 92 \| july 19 \| mets \| 5-9 \| dickey (13-1) \| gonzalez (12-5) \| None \| 36389 \| 53-37 row 12 : 93 \| july 20 \| braves \| 10-11 (11) \| o'flaherty (2-0 \| gorzelanny (2-2) \| durbin (1) \| 34228 \| 53-38 row 13 : 94 \| july 21 \| braves \| 0-4 \| sheets (2-0) \| jackson (5-6) \| None \| 28745 \| 53-39 row 14 : 52 \| july 21 \| braves \| 5-2 \| lannan (1-0) \| martinez (4-2) \| clippard (16) \| 40047 \| 54-39 row 15 : 95 \| july 22 \| braves \| 9-2 \| detwiler (5-3) \| jurrjens (3-4) \| None \| 34917 \| 55-39 row 16 : 96 \| july 23 \| @ mets \| 8-2 (10) \| gorzelanny (3-2) \| byrdak (2-2) \| None \| 26735 \| 56-39 row 17 : 97 \| july 24 \| @ mets \| 5-2 \| gonzalez (13-5) \| dickey (13-2) \| clippard (17) \| 36236 \| 57-39 row 18 : 98 \| july 25 \| @ mets \| 5-2 \| strasburg (11-4) \| hefner (1-4) \| clippard (18) \| 35517 \| 58-39 row 19 : 99 \| july 26 \| @ brewers \| 8-2 \| jackson (6-6) \| gallardo (8-8) \| None \| 33176 \| 59-39 row 20 : 100 \| july 27 \| @ brewers \| 0-6 \| fiers (4-4) \| detwiler (5-4) \| None \| 35858 \| 59-40 row 21 : 101 \| july 28 \| @ brewers \| 4-1 \| zimmermann (8-6) \| wolf (3-7) \| clippard (19) \| 41890 \| 60-40 ] Execute this SQL based on the above table: select record where id = 6	49-33
[ 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 count ( venue ) where date > 575	0
[ header: no \| title \| directed by \| released row 1 : 1 \| "kloot's k \| hawley pratt \| 1973 row 2 : 2 \| "apache on the county seat" \| hawley pratt \| 1973 row 3 : 3 \| "the shoe must go on" \| gerry chiniquy \| 1973 row 4 : 4 \| "a self winding sidewinder" \| roy morita \| 1973 row 5 : 5 \| "pay your buffalo bill" \| gerry chiniquy \| 1973 row 6 : 6 \| "stirrups and hic \| gerry chiniquy \| 1973 row 7 : 7 \| "ten miles to the gallop" \| arthur leonardi \| 1973 row 8 : 8 \| "phony express" \| gerry chiniquy \| 1974 row 9 : 9 \| "giddy up woe" \| sid marcus \| 1974 row 10 : 10 \| "gold struck" \| roy morita \| 1974 row 11 : 11 \| "as the tumbleweeds turn" \| gerry chiniquy \| 1974 row 12 : 12 \| "the badge and the beautiful" \| bob balsar \| 1974 row 13 : 13 \| "big beef at o.k. cor \| bob balsar \| 1974 row 14 : 14 \| "by hoot or by crook \| bob balsar \| 1974 row 15 : 15 \| "strange on the range" \| durward bonaye \| 1974 row 16 : 16 \| "mesa trouble" \| sid marcus \| 1974 row 17 : 17 \| "saddle soap opera" \| gerry chiniquy \| 1974 ] Execute this SQL based on the above table: select title where no = ( select no where title = '"big beef at o.k. corral"' ) + 1	"by hoot or by crook"
[ header: outcome \| no. \| date \| tournament \| surface \| partner \| opponents \| score row 1 : winner \| 1 \| april 18, 2004 \| jackson, united states \| clay \| alisa kleybanova \| cory ann avants kristen \| 6-2, 6-3 row 2 : runner-up \| 1 \| september 26, 2004 \| albuquerque, united states \| hard \| maria emilia salern \| maureen drake carly gul \| 3-6, 6-7(6-8) row 3 : winner \| 2 \| march 27, 2005 \| redding, united states \| hard \| yulia beygelzimer \| leanne baker francesca lub \| 6-4, 6-7(1-7), row 4 : runner-up \| 2 \| may 8, 2005 \| raleigh, united states \| clay \| maria fernanda alves \| ashley harkleroad lindsay \| 2-6, 6-0, 3-6 row 5 : runner-up \| 3 \| march 19, 2006 \| orange, united states \| hard \| lilia osterloh \| kateryna bondarenko alon \| 2-6, 4-6 row 6 : winner \| 3 \| november 12, 2006 \| pittsburgh, united states \| hard (i) \| alisa kleybanova \| ashley harkleroad galina \| 6-4, 5-7, 6-1 row 7 : runner-up \| 4 \| february 11, 2007 \| midland, united states \| hard (i) \| maureen drake \| laura granville abigail spears \| 4-6, 6-3, 3-6 row 8 : runner-up \| 5 \| july 7, 2007 \| southlake, united states \| hard \| valerie tetreault \| surina de beer kim grant \| 6-4, 4-6, 4-6 row 9 : winner \| 4 \| july 22, 2007 \| hamilton, canada \| clay \| surina de beer \| michaela johansson pa \| walkover row 10 : winner \| 5 \| august 4, 2007 \| vancouver, canada \| hard \| marie-eve pelletier \| soledad esperon agustin \| 6-4, 6-4 row 11 : winner \| 6 \| october 21, 2007 \| lawrenceville, united states \| hard \| alisa kleybanova \| leanne baker julie ditty \| 6-2, 6-0 row 12 : winner \| 7 \| november 12, 2007 \| pittsburgh, united states \| hard (i) \| alisa kleybanova \| raquel kops-jones \| 6-4, 4-6, [10-6] row 13 : runner-up \| 6 \| april 27, 2008 \| dothan, united states \| clay \| maria fernanda alves \| tetiana luzhan \| 1-6, 3-6 row 14 : winner \| 8 \| october 18, 2008 \| toronto, canada \| hard (i) \| marie-eve pelletier \| nikola frankova carmen \| 6-4, 6-2 row 15 : runner-up \| 7 \| september 27, 2009 \| saguenay, canada \| hard (i) \| rebecca marino \| sofia arvidsson s \| 3-6, 1-6 row 16 : runner-up \| 8 \| april 13, 2013 \| poza rica, mexico \| hard \| olga savch \| maria fernanda alvarez \| 2-6, 3-6 ] Execute this SQL based on the above table: select tournament where date = 'november 12, 2007'	pittsburgh, united states
[ header: rank \| athlete \| country \| time \| notes row 1 : None \| kaija mustonen \| finland \| 2:22.4 \| or row 2 : None \| carry geijssen \| netherlands \| 2:22.7 \| None row 3 : None \| stien kaiser \| netherlands \| 2:24.5 \| None row 4 : 4 \| sigrid sundby-dy \| norway \| 2:25.2 \| None row 5 : 5 \| lasma kauniste \| soviet union \| 2:25.4 \| None row 6 : 6 \| kaija-liisa \| finland \| 2:25.8 \| None row 7 : 7 \| lyudmila titova \| soviet union \| 2:26.8 \| None row 8 : 8 \| ruth schleiermacher \| east germany \| 2:27.1 \| None row 9 : 9 \| christina lindblom-scher \| sweden \| 2:27.5 \| None row 10 : 9 \| hildegard sellhuber \| west germany \| 2:27.5 \| None row 11 : 11 \| lidiya skoblikova \| soviet union \| 2:27.6 \| None row 12 : 12 \| ans schut \| netherlands \| 2:28.3 \| None row 13 : 13 \| dianne holum \| united states \| 2:28.5 \| None row 14 : 14 \| martine ivangine \| france \| 2:29.9 \| None row 15 : 14 \| kari karing \| norway \| 2:29.9 \| None row 16 : 16 \| jeanne ashworth \| united states \| 2:30.3 \| None row 17 : 17 \| lisbeth korsmo \| norway \| 2:30.7 \| None row 18 : 18 \| christina karlsson \| sweden \| 2:31.4 \| None row 19 : 18 \| sachiko saito \| japan \| 2:31.4 \| None row 20 : 20 \| ylva hedlund \| sweden \| 2:31.5 \| None row 21 : 21 \| doreen mccannell \| canada \| 2:32.2 \| None row 22 : 22 \| arja kantola \| finland \| 2:33.2 \| None row 23 : 23 \| kaname ide \| japan \| 2:34.2 \| None row 24 : 24 \| marcia parsons \| canada \| 2:34.4 \| None row 25 : 25 \| jeanne omelenchuk \| united states \| 2:35.5 \| None row 26 : 26 \| jitsuko saito \| japan \| 2:36.6 \| None row 27 : 27 \| kim gwi-jin \| south korea \| 2:36.7 \| None row 28 : 28 \| marie-louise perrenou \| france \| 2:39.2 \| None row 29 : 29 \| patricia demartini \| france \| 2:40.6 \| None row 30 : 30 \| paula dufter \| west germany \| 2:45.2 \| None ] Execute this SQL based on the above table: select athlete where country = 'south korea' order by rank desc limit 1	kim gwi-jin
[ header: saros \| member \| date \| time (greatest) utc \| type \| location lat,long \| gamma \| mag. \| width (km) \| duration (min:sec) \| ref row 1 : 160 \| 3 \| june 5, 2217 \| 4:22:21 \| partial \| 67.5s 118.9e \| -1.3807 \| 0.3094 \| None \| None \| row 2 : 160 \| 4 \| june 16, 2235 \| 11:00:36 \| partial \| 66.5s 8.8e \| -1.299 \| 0.4502 \| None \| None \| row 3 : 160 \| 5 \| june 26, 2253 \| 17:36:11 \| partial \| 65.5s 100.1w \| -1.2139 \| 0.5981 \| None \| None \| row 4 : 160 \| 6 \| july 8, 2271 \| 0:13:02 \| partial \| 64.5s 151.1e \| -1.1284 \| 0.7474 \| None \| None \| row 5 : 160 \| 7 \| july 18, 2289 \| 6:50:58 \| partial \| 63.6s 42.3e \| -1.0426 \| 0.898 \| None \| None \| row 6 : 160 \| 8 \| july 30, 2307 \| 13:31:16 \| annular \| 50s 48.7w \| -0.9574 \| 0.9602 \| 501 \| 3m 37s \| row 7 : 160 \| 10 \| august 21, 2343 \| 3:07:05 \| annular \| 35.1s 112.8e \| -0.7957 \| 0.9679 \| 186 \| 3m 9s \| row 8 : 160 \| 11 \| august 31, 2361 \| 10:04:30 \| annular \| 32.2s 9.7e \| -0.7211 \| 0.9701 \| 151 \| 2m 54s \| row 9 : 160 \| 14 \| october 3, 2415 \| 7:47:48 \| annular \| 31.8s 47.4e \| -0.5335 \| 0.9736 \| 110 \| 2m 27s \| row 10 : 160 \| 16 \| october 24, 2451 \| 23:03:09 \| annular \| 35.3s 178.3w \| -0.4424 \| 0.9746 \| 101 \| 2m 21s \| row 11 : 160 \| 18 \| november 15, 2487 \| 14:57:35 \| annular \| 39.5s 52.3w \| -0.3807 \| 0.9756 \| 94 \| 2m 16s \| row 12 : 160 \| 20 \| december 8, 2523 \| 7:24:54 \| annular \| 42.4s 67.5e \| -0.3431 \| 0.9774 \| 86 \| 2m 8s \| row 13 : 160 \| 21 \| december 18, 2541 \| 15:48:55 \| annular \| 42.8s 54.7w \| -0.3319 \| 0.9788 \| 80 \| 2m 1s \| row 14 : 160 \| 27 \| february 22, 2650 \| 18:53:59 \| annular \| 26.2s 86.4w \| -0.2856 \| 0.9984 \| 6 \| 0m 9s \| row 15 : 160 \| 28 \| march 5, 2668 \| 3:17:08 \| hybrid \| 21s 147.7e \| -0.2697 \| 1.0035 \| 13 \| 0m 21s \| row 16 : 160 \| 32 \| april 18, 2740 \| 11:49:23 \| total \| 2.7n 15.9e \| -0.1487 \| 1.0268 \| 92 \| 2m 43s \| row 17 : 160 \| 33 \| april 29, 2758 \| 19:40:31 \| total \| 8.9n 102.7w \| -0.1026 \| 1.0328 \| 111 \| 3m 18s \| row 18 : 160 \| 34 \| may 10, 2776 \| 3:25:50 \| total \| 14.9n 140.5e \| -0.0507 \| 1.0386 \| 130 \| 3m 50s \| row 19 : 160 \| 35 \| may 21, 2794 \| 11:05:18 \| total \| 20.7n 25.6e \| 0.007 \| 1.0441 \| 147 \| 4m 16s \| ] Execute this SQL based on the above table: select sum ( saros )	3040.0
[ header: position \| driver \| no. \| car \| entrant \| rd 1 \| rd 2 \| rd 3 \| rd 4 \| rd 5 \| rd 6 \| rd 7 \| rd 8 \| total row 1 : 1 \| greg crick \| 3 \| dodge viper gts ac \| crickcars.com \| 98 \| 108 \| 91 \| 72 \| 98 \| 96 \| 60 \| 90 \| 713 row 2 : 5 \| sven burchartz \| 90 \| porsche 996 gt3 \| cargraphic ag \| 32 \| 18 \| None \| 63 \| 57 \| 69 \| 114 \| 85.5 \| 438.5 row 3 : 6 \| david wall \| 38 \| porsche 996 gt3 r \| rds \| 32 \| 37.5 \| 63 \| None \| 80 \| 33 \| None \| 117 \| 362.5 row 4 : 7 \| john teulan \| 88 \| ferrari 360 challenge ferrari f430 challenge \| industry central - stahlwille \| 47 \| 48 \| 61 \| 77 \| None \| 48 \| 48 \| 19.5 \| 348.5 row 5 : 8 \| max twigg \| 18 & 17 \| porsche 996 gt3 \| twigg waste management luxton \| 45 \| 33 \| 51 \| 14 \| 37 \| 57 \| None \| 66 \| 303 row 6 : 9 \| d'arcy russell \| 7 \| dodge viper gts ac \| dupont \| 34 \| 31.5 \| None \| 23 \| None \| 117 \| None \| 60 \| 265.5 row 7 : 14 \| paul tressider \| 23 \| porsche 996 gt3 cup car \| wynn tressider management \| 29 \| 22.5 \| 49 \| None \| None \| 45 \| None \| 43.5 \| 189 row 8 : 16 \| damien flack \| 55 \| porsche 996 gt3 cup car \| roock \| None \| None \| 69 \| 12 \| None \| 54 \| None \| 25.5 \| 160.5 row 9 : 18 \| bill pye \| 44 \| porsche 996 gt3 cup car \| autohaus hamilton property solutions group \| None \| 58.5 \| None \| None \| None \| 39 \| None \| 43.5 \| 141 row 10 : 19 \| anthony skinner \| 46 \| porsche 996 gt3 \| travelplan ski holiday \| 52 \| 18 \| None \| None \| None \| None \| 69 \| None \| 139 row 11 : 20 \| andrew luxton \| 17 & 18 \| porsche 996 gt3 cup car \| luxton plant twigg waste \| None \| None \| None \| None \| None \| 57 \| None \| 66 \| 123 row 12 : 22 \| ian palmer \| 20 \| honda nsx \| instant fountains paluky ho \| 25 \| None \| 33 \| 53 \| None \| None \| None \| None \| 111 row 13 : 24 \| kevin miller \| 2 \| ferrari f430 \| property solutions group \| None \| None \| None \| None \| None \| None \| 63 \| 36 \| 99 row 14 : 26 \| peter hackett \| 5 \| lamborghini diablo gt \| team lamborghini australia \| None \| 91.5 \| None \| None \| None \| None \| None \| None \| 91.5 row 15 : 28 \| graeme cook \| 91 \| porsche 996 gt3 cup car \| container solutions \| 27 \| None \| None \| None \| 58 \| None \| None \| None \| 85 row 16 : 32 \| stuart kostera \| 70 \| porsche 996 gt3 cup car \| phr scuderia \| None \| None \| None \| 73 \| None \| None \| None \| None \| 73 row 17 : 34 \| justin levis \| 78 \| lotus elise motorsport 200 \| cue autohaus hamilton \| None \| 24 \| None \| None \| None \| 39 \| None \| None \| 63 ] Execute this SQL based on the above table: select abs ( ( select rd 2 where driver = 'sven burchartz' ) - ( select rd 2 where driver = 'paul tressider' ) )	4.5
[ header: city served / location \| province \| icao \| iata \| airport name \| usage row 1 : perouges / meximieux \| \| lfhc \| None \| perouges - meximieux aero \| public row 2 : vichy / charmeil \| \| lflv \| vhy \| vichy - charmeil airport \| public row 3 : bar-sur-seine \| \| lffr \| None \| bar-sur-seine aerodrome \| restricted row 4 : 12: aveyron \| \| None \| None \| None \| None row 5 : conde-sur-noireau \| \| lfan \| None \| conde-sur-noireau aerod \| None row 6 : deauville / saint-gatien \| \| lfrg \| dol \| deauville - saint-gatien \| public row 7 : rochefort / saint-a \| \| lfdn \| rco \| rochefort - saint-a \| public/mil row 8 : rochefort / soubis \| \| lfxr \| None \| rochefort - soubis \| None row 9 : figari sud-corse \| \| lfkf \| fsc \| figari sud-corse airport ( \| public row 10 : saint-brieuc / armor \| \| lfrt \| sbk \| saint-brieuc - armor airport \| public row 11 : besancon / thise \| \| lfsa \| None \| besancon - thise airport \| public row 12 : 27: eure \| \| None \| None \| None \| None row 13 : landivisiau \| \| lfrj \| ldv \| landivisiau air base \| military row 14 : nimes / garons \| \| lftw \| fni \| nimes-ales-camargue \| public row 15 : 31: haute-garonne \| \| None \| None \| None \| None row 16 : revel / montgey \| \| lfir \| None \| revel - montgey aerodrome \| restricted row 17 : grenoble / saint-geoir \| \| lfls \| gnb \| grenoble-isere airport \| public row 18 : 44: loire-atlantique \| \| None \| None \| None \| None row 19 : saumur / saint-florent \| \| lfod \| xsu \| saumur - saint-hilaire \| public row 20 : avranches / le val \| \| lfrw \| None \| avranches - le val \| restricted row 21 : nancy / malzeville \| \| lfez \| None \| nancy - malzeville aerod \| restricted row 22 : pont-saint-vincent \| \| lfsv \| None \| pont-saint-vincent aero \| restricted row 23 : lorient / lann / \| \| lfrh \| lrt \| lorient south brittany airport ( \| government row 24 : strasbourg / entzheim \| \| lfst \| sxb \| strasbourg airport (ba 124) \| public/mil row 25 : colmar / houssen \| \| lfga \| cmr \| colmar - houssen airport \| public row 26 : meribel \| \| lfkx \| mfx \| meribel aerodrome \| restricted ] Execute this SQL based on the above table: select count ( iata ) where icao = 440	0
[ header: mlb season \| team season \| league \| division \| finish \| wins \| losses \| win % \| gb \| postseason \| awards row 1 : 1969 \| 1969 \| al \| west \| 6th \| 64 \| 98 \| 0.395 \| 33 \| None \| None row 2 : 1970 \| 1970 \| al \| west \| 4th \| 65 \| 97 \| 0.401 \| 33 \| None \| None row 3 : 1971 \| 1971 \| al \| west \| 6th \| 69 \| 92 \| 0.429 \| 32 \| None \| None row 4 : 1973 \| 1973 \| al \| east \| 5th \| 74 \| 88 \| 0.457 \| 23 \| None \| None row 5 : 1974 \| 1974 \| al \| east \| 5th \| 76 \| 86 \| 0.469 \| 15 \| None \| None row 6 : 1976 \| 1976 \| al \| east \| 6th \| 66 \| 95 \| 0.41 \| 32 \| None \| None row 7 : 1977 \| 1977 \| al \| east \| 6th \| 67 \| 95 \| 0.414 \| 33 \| None \| None row 8 : 1979 \| 1979 \| al \| east \| 2nd \| 95 \| 66 \| 0.59 \| 8 \| None \| None row 9 : 1981 \| 1981 \| al \| east \| 3rd \| 31 \| 25 \| 0.554 \| 3 \| lost alds vs. new york \| rollie fingers (mvp, row 10 : 1981 \| 1981 \| al \| east \| 1st \| 31 \| 22 \| 0.585 \| None \| lost alds vs. new york \| rollie fingers (mvp, row 11 : 1982 \| 1982 \| al \| east \| 1st \| 95 \| 67 \| 0.586 \| None \| won alcs vs. cali \| robin yount (mvp row 12 : 1983 \| 1983 \| al \| east \| 5th \| 87 \| 75 \| 0.537 \| 11 \| None \| cecil cooper (rca) row 13 : 1984 \| 1984 \| al \| east \| 7th \| 67 \| 94 \| 0.416 \| 361⁄2 \| None \| None row 14 : 1988 \| 1988 \| al \| east \| 3rd \| 87 \| 75 \| 0.537 \| 2 \| None \| None row 15 : 1993 \| 1993 \| al \| east \| 7th \| 69 \| 93 \| 0.426 \| 26 \| None \| None row 16 : 1997 \| 1997 \| al \| central \| 3rd \| 78 \| 83 \| 0.484 \| 8 \| None \| None row 17 : 1999 \| 1999 \| nl \| central \| 5th \| 74 \| 87 \| 0.46 \| 221⁄2 \| None \| None row 18 : 2000 \| 2000 \| nl \| central \| 3rd \| 73 \| 89 \| 0.451 \| 22 \| None \| None row 19 : 2001 \| 2001 \| nl \| central \| 4th \| 68 \| 94 \| 0.42 \| 25 \| None \| None row 20 : 2002 \| 2002 \| nl \| central \| 6th \| 56 \| 106 \| 0.346 \| 41 \| None \| None row 21 : 2003 \| 2003 \| nl \| central \| 6th \| 68 \| 94 \| 0.412 \| 20 \| None \| None row 22 : 2004 \| 2004 \| nl \| central \| 6th \| 67 \| 94 \| 0.411 \| 371⁄2 \| None \| None row 23 : 2007 \| 2007 \| nl \| central \| 2nd \| 83 \| 79 \| 0.512 \| 2 \| None \| ryan braun (roy) prince field row 24 : 2008 \| 2008 \| nl \| central \| 2nd \| 90 \| 72 \| 0.556 \| 71⁄2 \| lost nlds vs. \| None row 25 : 2009 \| 2009 \| nl \| central \| 3rd \| 80 \| 82 \| 0.494 \| 11 \| None \| None ] Execute this SQL based on the above table: select league where league in ( 'al' , 'al' ) and division = 'central' order by team season desc limit 1	al
[ header: tie no \| home team \| score \| away team \| attendance row 1 : 1 \| ifk vasteras (d2) \| 3-2 \| ik sleipner (d \| 875 row 2 : 2 \| kramfors if (n) \| 2-4 (aet) \| bk kenty (d3) \| 2808 row 3 : 3 \| reymersholms ik \| 5-2 \| atvidabergs ff (d \| 1504 row 4 : 4 \| wifsta/ostrands if \| 4-3 \| ludvika ffi \| 974 row 5 : 5 \| raa if (d3) \| 3-2 \| sandvikens if (d \| 2116 row 6 : 6 \| sandvikens aik \| 2-3 (aet) \| tidaholms g \| 822 row 7 : 7 \| karlstads bik (d \| 2-5 \| if friska viljor (n) \| 1550 row 8 : 8 \| sandviks ik (n \| 2-3 \| surahammars if (d2) \| None ] Execute this SQL based on the above table: select attendance where away team = 'sandvikens if (d3)'	2116
[ header: institution \| city \| state \| team name \| affiliation \| enrollment \| home conference row 1 : augustana college (illinois) \| rock island \| illinois \| vikings \| private/lutheran \| 2500 \| cciw row 2 : aurora university \| aurora \| illinois \| spartans \| private/non-sectarian \| 1685 \| northern row 3 : beloit college \| beloit \| wisconsin \| buccaneers \| private/non-sectarian \| 1300 \| midwest row 4 : benedictine university \| lisle \| illinois \| eagles \| private/catholic \| 3282 \| northern row 5 : carthage college \| kenosha \| wisconsin \| red men \| private/lutheran \| 2188 \| cciw row 6 : concordia university wisconsin \| mequon \| wisconsin \| falcons \| private/lutheran \| 1608 \| northern row 7 : university of dubuque \| dubuque \| iowa \| spartans \| private/presbyterian \| 1559 \| iiac row 8 : elmhurst college \| elmhurst \| illinois \| bluejays \| private/united church of christ \| 3400 \| cciw row 9 : fontbonne university \| st. louis \| missouri \| griffins \| private/catholic \| 2924 \| sliac row 10 : college of mount st. josep \| cincinnati \| ohio \| lions \| private/catholic \| 1334 \| hcac row 11 : north central college \| naperville \| illinois \| cardinals \| private/methodist \| 2900 \| cciw ] Execute this SQL based on the above table: select institution where institution not null order by id desc limit 1	north central college
[ header: victim(s) \| age \| gender \| date \| type of attack \| location \| details \| source(s) row 1 : daughter of a frontiersman named "bak \| 18 \| ♀ \| summer, 1881 \| defending cows \| northwestern colorado, usa \| encountered a wolf resting on a \| george bird grinnell row 2 : david tobuk \| toddler \| ♂ \| 1900 \| predatory \| koyukuk river, ala \| in the 1920s, tobuk was \| None row 3 : zacarias hugo \| 14 \| ♂ \| 1943 \| possibly rabid \| etivluk river, alaska \| while hunting caribou, zacaria \| None row 4 : pipeline workers \| None \| ♂ \| 1971-1979 \| None \| along the right-of-way for the trans \| there were ten "bites and charges", \| None row 5 : david lawrence \| 7 \| ♂ \| 1976, summer \| prey-testing agonistic charge \| salcha river, alaska, usa \| while his father, roy lawrence, \| None ] Execute this SQL based on the above table: select count ( location ) where gender is null	0
[ header: round \| round \| circuit \| date \| pole position \| fastest lap \| winning driver \| winning team \| winning privateer row 1 : 1 \| r1 \| mantorp park \| 10 may \| mattias ekstrom \| fredrik ekblom \| mats linden \| kristoffersson motorsport \| richard goransson row 2 : 1 \| r2 \| mantorp park \| 10 may \| None \| peggen andersson \| fredrik ekblom \| bmw dealer team \| pontus morth row 3 : 2 \| r3 \| karlskoga-gellera \| 31 may \| jan nilsson \| jan nilsson \| jan nilsson \| flash engineering \| pontus morth row 4 : 2 \| r4 \| karlskoga-gellera \| 31 may \| None \| fredrik ekblom \| peggen andersson \| bmw dealer team \| pontus morth row 5 : 3 \| r5 \| anderstorp \| 28 june \| mattias ekstrom \| fredrik ekblom \| jan nilsson \| flash engineering \| pontus morth row 6 : 3 \| r6 \| anderstorp \| 28 june \| None \| peggen andersson \| peggen andersson \| bmw dealer team \| georg bakajev row 7 : 4 \| r7 \| falkenberg \| 9 july \| jens edman \| jens edman \| jan nilsson \| flash engineering \| pontus morth row 8 : 4 \| r8 \| falkenberg \| 9 july \| None \| mattias ekstrom \| jens edman \| flash engineering \| pontus morth row 9 : 5 \| r9 \| ring knutstorp \| 6 september \| fredrik ekblom \| fredrik ekblom \| fredrik ekblom \| bmw dealer team \| pontus morth row 10 : 5 \| r10 \| ring knutstorp \| 6 september \| None \| mats linden \| jan nilsson \| flash engineering \| georg bakajev row 11 : 6 \| r11 \| mantorp park \| 27 september \| tommy kristoffersson \| fredrik ekblom \| fredrik ekblom \| bmw dealer team \| pontus morth row 12 : 6 \| r12 \| mantorp park \| 27 september \| None \| peggen andersson \| jan nilsson \| flash engineering \| pontus morth ] Execute this SQL based on the above table: select fastest lap where round > ( select round where fastest lap = 'mats linden' ) order by round limit 1657	fredrik ekblom, peggen andersson
[ header: # \| event year \| season \| flag bearer row 1 : 10 \| 2012 \| summer \| nino salukvadze row 2 : 9 \| 2010 \| winter \| iason abramashvili row 3 : 8 \| 2008 \| summer \| ramaz nozadze row 4 : 7 \| 2006 \| winter \| vakhtang murvanidze row 5 : 6 \| 2004 \| summer \| zurab zviadauri row 6 : 5 \| 2002 \| winter \| sofia akhmeteli row 7 : 4 \| 2000 \| summer \| giorgi asanidze row 8 : 3 \| 1998 \| winter \| sofia akhmeteli row 9 : 2 \| 1996 \| summer \| giorgi k'andel row 10 : 1 \| 1994 \| winter \| zurab dzhidzhishvil ] Execute this SQL based on the above table: select count ( season ) where id < ( select id where flag bearer = 'nino salukvadze' )	0
[ header: name of place \| number of counties \| principal county \| lower zip code row 1 : yager junction \| 1 \| humboldt county \| None row 2 : yale \| 1 \| riverside county \| 92544 row 3 : yankee hill \| 1 \| butte county \| 95965 row 4 : yankee hill \| 1 \| tuolumne county \| None row 5 : yankee jims \| 1 \| placer county \| 95713 row 6 : yarmouth \| 1 \| san joaquin county \| None row 7 : yellowjacket \| 1 \| tehama county \| None row 8 : yerba buena island \| 1 \| san francisco county \| None row 9 : yermo \| 1 \| san bernardino county \| 92398 row 10 : yettem \| 1 \| tulare county \| 93670 row 11 : ygnacio valley \| 1 \| contra costa county \| 94598 row 12 : yokohl \| 1 \| tulare county \| None row 13 : yolano \| 1 \| solano county \| 95620 row 14 : yolo \| 1 \| yolo county \| 95697 row 15 : yontocket \| 1 \| del norte county \| None row 16 : yorba \| 1 \| los angeles county \| 91767 row 17 : yorba linda \| 1 \| orange county \| 92686 row 18 : york \| 1 \| los angeles county \| 90050 row 19 : yorkville \| 1 \| mendocino county \| 95494 row 20 : yosemite forks \| 1 \| madera county \| None row 21 : yosemite junction \| 1 \| tuolumne county \| 95389 row 22 : yosemite lakes \| 1 \| madera county \| None row 23 : yosemite lakes park \| 1 \| madera county \| None row 24 : yosemite lodge \| 1 \| mariposa county \| 95389 row 25 : yosemite national park \| 3 \| madera county \| 95389 row 26 : yosemite national park \| 3 \| mariposa county \| 95389 row 27 : yosemite national park \| 3 \| tuolumne county \| 95389 row 28 : yosemite national park \| 1 \| mariposa county \| 95389 row 29 : yosemite valley \| 1 \| mariposa county \| None row 30 : yosemite village \| 1 \| mariposa county \| None row 31 : you bet \| 1 \| nevada county \| None row 32 : youngstown \| 1 \| san joaquin county \| None row 33 : yountville \| 1 \| napa county \| 94599 row 34 : yreka \| 1 \| siskiyou county \| 96097 row 35 : yreka city \| 1 \| siskiyou county \| 96097 row 36 : yuba city \| 1 \| sutter county \| 95991 row 37 : yuba city farm labor center \| 1 \| sutter county \| 95991 row 38 : yuba pass \| 1 \| nevada county \| None row 39 : yuba-sutter area \| 2 \| sutter county yuba county \| None row 40 : yucaipa \| 1 \| san bernardino county \| 92399 row 41 : yucca inn \| 1 \| san bernardino county \| None row 42 : yucca valley \| 1 \| san bernardino county \| 92284 row 43 : yurok indian reservation \| 2 \| del norte county \| 95546 ] Execute this SQL based on the above table: select principal county where name of place != 'yuba-sutter area' and number of counties = ( select number of counties where name of place = 'yuba-sutter area' )	del norte county
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| china (chn) \| 14 \| 10 \| 12 \| 36 row 2 : 2 \| thailand (tha) \| 13 \| 9 \| 6 \| 28 row 3 : 3 \| south korea (kor) \| 6 \| 7 \| 10 \| 23 row 4 : 4 \| indonesia (ina) \| 6 \| 6 \| 4 \| 16 row 5 : 5 \| chinese taipei \| 3 \| 6 \| 6 \| 15 row 6 : 6 \| india (ind) \| 2 \| 0 \| 1 \| 3 row 7 : 7 \| iran (iri) \| 2 \| 0 \| 0 \| 2 row 8 : 8 \| japan (jpn) \| 1 \| 3 \| 2 \| 6 row 9 : 9 \| afghanistan (afg \| 1 \| 0 \| 0 \| 1 row 10 : 9 \| qatar (qat) \| 1 \| 0 \| 0 \| 1 row 11 : 11 \| philippines (phi) \| 0 \| 2 \| 2 \| 4 row 12 : 12 \| vietnam (vie) \| 0 \| 2 \| 1 \| 3 row 13 : 13 \| kazakhstan (kaz) \| 0 \| 1 \| 1 \| 2 row 14 : 13 \| pakistan (pak) \| 0 \| 1 \| 1 \| 2 row 15 : 15 \| bahrain (brn) \| 0 \| 1 \| 0 \| 1 row 16 : 15 \| turkmenistan (tkm) \| 0 \| 1 \| 0 \| 1 row 17 : 17 \| sri lanka (sr \| 0 \| 0 \| 2 \| 2 row 18 : 18 \| bangladesh (ban) \| 0 \| 0 \| 1 \| 1 row 19 : 18 \| brunei (bru) \| 0 \| 0 \| 1 \| 1 row 20 : 18 \| laos (lao) \| 0 \| 0 \| 1 \| 1 row 21 : 18 \| mongolia (mgl) \| 0 \| 0 \| 1 \| 1 row 22 : 18 \| palestine (ple) \| 0 \| 0 \| 1 \| 1 row 23 : 18 \| singapore (sin) \| 0 \| 0 \| 1 \| 1 row 24 : total \| total \| 49 \| 49 \| 54 \| 152 ] Execute this SQL based on the above table: select rank where bronze = 0	7.0, 9.0, 9.0, 15.0, 15.0
[ header: battle, siege, or offensive \| conflict \| dates \| estimated number of americans killed row 1 : meuse-argonne offensive \| world war i \| september 26 to november 11, 1918 \| 26,277 killed row 2 : battle of the bulge \| world war ii \| december 16, 1944 to january \| 19,276 killed row 3 : battle of okinawa \| world war ii \| april 1 to june 21, \| 12,513 killed row 4 : battle of hurtgen forest \| world war ii \| september 19, 1944 to february 10, 1945 \| over 12,000 killed row 5 : battle of gettysburg \| american civil war \| july 1 to july 3, 18 \| 7,863 killed (3,155 union and 4, row 6 : battle of iwo jima \| world war ii \| february 16 to march 26, 1945 \| 7,000 killed row 7 : battle of anzio \| world war ii \| january 22 to june 5, \| 5,538 killed row 8 : battle of pusan perimeter \| korean war \| august to september, 1950 \| 4,599 killed row 9 : battle of spotsylvania \| american civil war \| may 8 to may 21, 1864 \| 4,192 killed (2,725 union and 1, row 10 : battle of chickamauga \| american civil war \| september 19 to september 20, 1863 \| 3,969 killed (1,657 union and row 11 : battle of the wilderness \| american civil war \| may 5 to may 7, 1864 \| 3,741 killed (2,246 union and row 12 : battle of antietam \| american civil war \| september 17, 1862 \| 3,654 killed (2,108 union and 1,5 row 13 : battle of shiloh \| american civil war \| april 6 to april \| 3,482 killed (1,754 union and row 14 : battle of chancellorsville \| american civil war \| april 30 to may 6, 1863 \| 3,271 killed (1,606 union and row 15 : battle of sicily \| world war ii \| july 9 to august 17, 1943 \| 2,572 killed row 16 : pearl harbor attack \| world war ii \| december 7, 1941 \| 2,500 killed row 17 : battle of salerno \| world war ii \| september 3 - september 16, 1943 \| 2,000 killed row 18 : battle of belleau wood \| world war i \| june 1 to june 26, 1918 \| 1,811 killed row 19 : battle of peleliu \| world war ii \| september 15 to november 27, 1944 \| 1,794 killed row 20 : second battle of guam \| world war ii \| july 21 to august 8, 1944 \| 1,747 killed row 21 : battle of tarawa \| world war ii \| november 20 to november 23, 1943 \| 1,677 killed row 22 : d-day (first day of operation over \| world war ii \| june 6, 1944 \| 1,465 killed row 23 : battle of chosin reservoir \| korean war \| november 27 to december 13, 1950 \| 1,029 killed row 24 : battle for manila \| world war ii \| february 3 to march 3, 1945 \| 1,010 killed row 25 : battle of the kasserine pass \| world war ii \| february 19 to february 25, 1943 \| over 1,000 killed row 26 : battle of taejon \| korean war \| july 14 to july 21, 1950 \| 922 killed row 27 : battle of khe sanh \| vietnam war \| 21 january to 8 apri \| 737 killed ] Execute this SQL based on the above table: select count ( * ) where battle, siege, or offensive = 'battle of iwo jima'	1