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train · 796k rows

input stringlengths 20 5.6k	output stringlengths 0 17.9k
[ header: rank \| bib \| name \| country \| time \| deficit row 1 : None \| 43 \| daniel richardsson \| sweden \| 39:08.5 \| 38.8 row 2 : 4 \| 13 \| iivo niskanen \| finland \| 39:08.7 \| 39 row 3 : 7 \| 31 \| alexander bessmertny \| russia \| 39:37.7 \| +1:08.0 row 4 : 12 \| 33 \| eldar rønning \| norway \| 40:02.8 \| +1:33.1 row 5 : 14 \| 29 \| jens filbrich \| germany \| 40:08.5 \| +1:38.8 row 6 : 15 \| 28 \| lars nelson \| sweden \| 40:08.8 \| +1.39.1 row 7 : 20 \| 41 \| matti heikkinen \| finland \| 40:17.8 \| +1:48.1 row 8 : 22 \| 25 \| curdin perl \| switzerland \| 40:27.8 \| +1:58.1 row 9 : 24 \| 11 \| jonas baumann \| switzerland \| 40.33.2 \| +2:03.5 row 10 : 30 \| 22 \| francesco de fabiani \| italy \| 41:00.8 \| +2:31.1 row 11 : 31 \| 32 \| noah hoffman \| united states \| 41:02.7 \| +2:33.0 row 12 : 35 \| 38 \| devon kershaw \| canada \| 41:17.1 \| +2:47.4 row 13 : 36 \| 27 \| mattia pellegrin \| italy \| 41:20.1 \| +2:50.4 row 14 : 39 \| 39 \| ivan babikov \| canada \| 41:49.2 \| +3:19.5 row 15 : 43 \| 16 \| adrien backscheider \| france \| 42.21.7 \| +3:52.0 row 16 : 46 \| 1 \| sergey mikayelyan \| armenia \| 42:39.1 \| +4:09.4 row 17 : 49 \| 54 \| alexander lasutkin \| belarus \| 42:45.1 \| +4.15.4 row 18 : 51 \| 64 \| peter mlynar \| slovakia \| 42:50.3 \| +4.20.6 row 19 : 54 \| 58 \| yerdos akhmadiy \| kazakhstan \| 43:02.2 \| +4:32.5 row 20 : 58 \| 68 \| martin møller \| denmark \| 43:29.7 \| +5:00.0 row 21 : 59 \| 24 \| michail semenov \| belarus \| 43:36.0 \| +5:06.3 row 22 : 61 \| 59 \| raido rankel \| estonia \| 43:38.9 \| +5:09.2 row 23 : 67 \| 66 \| callum smith \| great britain \| 44:14.7 \| +5:45.0 row 24 : 69 \| 71 \| oleksii kraso \| ukraine \| 44:35.4 \| +6:05.7 row 25 : 74 \| 85 \| sævar birgisson \| iceland \| 45:44.2 \| +7:14.5 row 26 : 78 \| 80 \| milan szabo \| hungary \| 47:01.3 \| +8:31.6 row 27 : 79 \| 83 \| sattar seid \| iran \| 47:16.1 \| +8:46.4 row 28 : 80 \| 86 \| bold byambadorj \| mongolia \| 48:29.6 \| +9:59.9 row 29 : 84 \| 88 \| tucker murphy \| bermuda \| 49:19.9 \| +10:50.2 ] Execute this SQL based on the above table: select count ( name ) where time < 3	0
[ header: week \| date \| opponent \| score \| result \| attendance \| record row 1 : 1 \| thursday, aug 11 \| vs. winnipeg blue \| 35-21 \| loss \| 31837 \| 0-1 row 2 : 2 \| monday, aug 15 \| at edmonton eskimos \| 33-14 \| loss \| 17500 \| 0-2 row 3 : 3 \| saturday, aug 20 \| vs. saskatche \| 27-12 \| win \| 29532 \| 1-2 row 4 : 4 \| monday, aug 22 \| at calgary stampeders \| 26-19 \| win \| None \| 2-2 row 5 : 5 \| monday, aug 29 \| vs. edmonton \| 26-0 \| loss \| 28420 \| 2-3 row 6 : 6 \| thursday, sept 1 \| at winnipeg blue bombers \| 19-14 \| loss \| 18297 \| 2-4 row 7 : 7 \| monday, sept 5 \| at saskatchewan roughrid \| 31-21 \| win \| 14105 \| 3-4 row 8 : 8 \| monday, sept 12 \| vs. calgary stampeders \| 21-21 \| tie \| 27759 \| 3-4-1 row 9 : 9 \| saturday, sept 17 \| vs. winnipeg blue \| 26-14 \| loss \| 30292 \| 3-5-1 row 10 : 10 \| monday, sept 19 \| at edmonton eskimos \| 18-10 \| loss \| None \| 3-6-1 row 11 : 11 \| saturday, sept 24 \| at calgary stampeders \| 28-14 \| loss \| 13000 \| 3-7-1 row 12 : 12 \| thursday, oct 6 \| vs. edmonton \| 21-13 \| win \| 21707 \| 4-7-1 row 13 : 13 \| thursday, oct 13 \| at winnipeg blue bombers \| 49-21 \| loss \| 16773 \| 4-8-1 row 14 : 14 \| saturday, oct 15 \| at saskatchewan roughrid \| 14-14 \| tie \| 7255 \| 4-8-2 row 15 : 15 \| saturday, oct 22 \| vs. calgary stampeders \| 22-10 \| loss \| 29599 \| 4-9-2 row 16 : 16 \| saturday, oct 29 \| vs. saskatche \| 38-0 \| win \| 21114 \| 5-9-2 ] Execute this SQL based on the above table: select opponent where id = ( select id where opponent = 'at edmonton eskimos' ) + 1	vs. saskatchewan roughriders
[ header: name \| profession \| hometown \| term expires \| office row 1 : bill w. burgess \| attorney \| lawton \| 2011 \| None row 2 : ronald h. white, \| medical doctor \| oklahoma city \| 2012 \| None row 3 : william stuart price \| businessman \| tulsa \| 2013 \| None row 4 : joseph l. parker \| businessman \| tulsa \| 2014 \| chair row 5 : julie carson \| attorney \| claremore \| 2015 \| vice chair row 6 : marlin "ike" glass \| businessman \| newkirk \| 2016 \| secretary row 7 : james d. "jimmy \| banker \| leedy \| 2017 \| assistant secretary row 8 : mike turpen \| attorney \| oklahoma city \| 2018 \| None row 9 : john massey \| banker \| durant \| 2019 \| None ] Execute this SQL based on the above table: select profession order by term expires limit 1	attorney
[ header: date \| opponent \| venue \| result \| attendance \| scorers row 1 : 15 august 1998 \| wolverhampton wanderers \| h \| 0-2 \| 7521 \| None row 2 : 29 august 1998 \| grimsby town \| h \| 0-0 \| 5587 \| None row 3 : 31 august 1998 \| barnsley \| a \| 0-1 \| 15328 \| None row 4 : 6 september 1998 \| portsmouth \| h \| 3-0 \| 6626 \| marsh, windass (2, 1 pen) row 5 : 9 september 1998 \| swindon town \| a \| 1-4 \| 8305 \| banger row 6 : 19 september 1998 \| sunderland \| a \| 0-7 \| 34567 \| None row 7 : 26 september 1998 \| queens park rangers \| h \| 4-1 \| 7489 \| beauchamp, murphy, thom row 8 : 10 october 1998 \| tranmere rovers \| h \| 1-2 \| 5862 \| windass row 9 : 17 october 1998 \| bolton wanderers \| a \| 1-1 \| 17064 \| thomson row 10 : 31 october 1998 \| crewe alexandra \| h \| 1-1 \| 5607 \| windass row 11 : 21 november 1998 \| port vale \| h \| 2-1 \| 5964 \| windass (pen), powell row 12 : 5 december 1998 \| bradford city \| h \| 0-1 \| 5969 \| None row 13 : 19 december 1998 \| stockport county \| a \| 0-2 \| 6500 \| None row 14 : 28 december 1998 \| portsmouth \| a \| 2-2 \| 12604 \| banger (2) row 15 : 9 january 1999 \| bristol city \| h \| 0-0 \| 9434 \| None row 16 : 30 january 1999 \| barnsley \| h \| 1-0 \| 6174 \| windass row 17 : 6 february 1999 \| wolverhampton wanderers \| a \| 1-1 \| 20811 \| windass row 18 : 13 february 1999 \| swindon town \| h \| 2-0 \| 8179 \| windass (2, 1 pen) row 19 : 27 february 1999 \| sunderland \| h \| 0-0 \| 9044 \| None row 20 : 3 march 1999 \| queens park rangers \| a \| 0-1 \| 9040 \| None row 21 : 9 march 1999 \| huddersfield town \| h \| 2-2 \| 6034 \| cook, beauchamp row 22 : 13 march 1999 \| watford \| h \| 0-0 \| 8137 \| None row 23 : 20 march 1999 \| crewe alexandra \| a \| 1-3 \| 4791 \| thomson row 24 : 26 march 1999 \| sheffield united \| a \| 2-1 \| 14115 \| thomson, banger row 25 : 3 april 1999 \| bolton wanderers \| h \| 0-0 \| 7547 \| None row 26 : 5 april 1999 \| tranmere rovers \| a \| 2-2 \| 7837 \| weatherstone, gilchrist row 27 : 17 april 1999 \| port vale \| a \| 0-1 \| 7393 \| None row 28 : 24 april 1999 \| norwich city \| h \| 2-4 \| 7345 \| wilsterman, francis row 29 : 1 may 1999 \| bradford city \| a \| 0-0 \| 15064 \| None row 30 : 9 may 1999 \| stockport county \| h \| 5-0 \| 6830 \| gilchrist, powell, beauch ] Execute this SQL based on the above table: select abs ( ( select attendance where date = 9 order by scorers limit 1 ) - ( select attendance where date = 1 order by scorers desc limit 1 ) )	28393.0
[ header: number \| builder \| type \| date \| works number \| notes row 1 : 51 \| baldwin locomotive works \| ds4-4-750 \| 1949 \| 74408 \| acquired new 1949, retired 1970/wrecke row 2 : 52 \| baldwin locomotive works \| ds4-4-750 \| 1949 \| 74409 \| acquired new 1949, retired in 1970 and scrapped row 3 : 53 \| baldwin locomotive works \| ds4-4-1000 \| 1949 \| 74193 \| ex-pan american engineering w8380; row 4 : 54 \| baldwin locomotive works \| s-12 \| 1952/1953 \| 75823 \| ex-nw (3307); n row 5 : 55 \| baldwin locomotive works \| rs-12 \| 1955 \| 76024 \| decorated for the united states bicentennial row 6 : 56 \| baldwin locomotive works \| rs-12 \| 1955 \| 76105 \| nee mr 33, acquired row 7 : 57 \| baldwin locomotive works \| s-12 \| 1953 \| 75914 \| nee sp 1539, row 8 : 61 \| american locomotive works \| rs-11 \| 1979 \| None \| former sp. status unknown row 9 : 62 \| american locomotive works \| rs-11 \| 1979 \| None \| former sp. status unknown row 10 : 63 \| american locomotive works \| rs-11 \| 1979 \| None \| former sp. sold to nv row 11 : 64 \| electro-motive diesel \| gp9m \| 1987 \| None \| former sp # 3411. operational and in row 12 : 65 \| electro-motive diesel \| gp9m \| 1987 \| None \| former sp # 3412. operational row 13 : 66 \| electro-motive diesel \| gp9m \| 1956 \| None \| former c&o # 6145. acquired row 14 : 67 \| electro-motive diesel \| gp9m \| 6/1954 \| 19554 \| built as bangor and aroosto row 15 : m-80 \| mack \| railbus \| 1923 \| None \| purchased 1925. wrecked twice: in 1957 row 16 : m-100 \| edwards rail car company \| motor car \| 1925 \| None \| acquired from moorhead & north fork row 17 : m-200 \| ss&iw \| motor car \| 1927 \| None \| ex-trc #22; n row 18 : m-300 \| american car and foundry company \| motor car \| 1935 \| None \| m-300 at fort bragg ex ] Execute this SQL based on the above table: select count ( * ) where type = 'rs-11'	3
[ header: # \| name \| took office \| left office \| party row 1 : 1 \| nejat konuk (2nd time \| 15 november 1983 \| 19 july 1985 \| national unity party row 2 : 2 \| dervis eroglu (1st time \| 19 july 1985 \| 1 january 1994 \| national unity party row 3 : 3 \| hakkı atun \| 1 january 1994 \| 16 august 1996 \| democratic party row 4 : 2 \| dervis eroglu (2nd time) \| 16 august 1996 \| 13 january 2004 \| national unity party row 5 : 4 \| mehmet ali talat \| 13 january 2004 \| 26 april 2005 \| republican turkish party row 6 : 5 \| ferdi sabit soyer \| 26 april 2005 \| 5 may 2009 \| republican turkish party row 7 : 2 \| dervis eroglu (3rd time \| 5 may 2009 \| 23 april 2010 \| national unity party row 8 : None \| huseyin ozgurgun \| 23 april 2010 \| 17 may 2010 \| national unity party row 9 : 6 \| irsen kucuk \| 17 may 2010 \| 13 june 2013 \| national unity party row 10 : 7 \| sibel siber \| 13 june 2013 \| 2 september 2013 \| republican turkish party row 11 : 8 \| ozkan yorgancıo \| 2 september 2013 \| incumbent \| republican turkish party ] Execute this SQL based on the above table: select took office where # = 1	15 november 1983
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| cuba \| 4 \| 3 \| 2 \| 9 row 2 : 2 \| canada \| 4 \| 2 \| 1 \| 7 row 3 : 3 \| united states \| 2 \| 0 \| 2 \| 4 row 4 : 4 \| mexico \| 1 \| 1 \| 0 \| 2 row 5 : 5 \| ecuador \| 1 \| 0 \| 0 \| 1 row 6 : 6 \| argentina \| 0 \| 4 \| 3 \| 7 row 7 : 7 \| brazil \| 0 \| 2 \| 2 \| 4 row 8 : 8 \| chile \| 0 \| 0 \| 1 \| 1 row 9 : 8 \| venezuela \| 0 \| 0 \| 1 \| 1 row 10 : total \| total \| 12 \| 12 \| 12 \| 36 ] Execute this SQL based on the above table: select max ( nation ) where nation = 'brazil'	brazil
[ header: year \| title \| peak chart positions ger \| label \| artist row 1 : 1981 \| savoir faire \| None \| capitol \| mink deville row 2 : 1993 \| spanish stroll 1977-1987 \| None \| disky, raven \| mink deville row 3 : 1995 \| les inoubliables de willy deville \| None \| wagram \| willy deville row 4 : 1996 \| love & emotion: the atlantic years \| 54 \| atlantic \| mink deville row 5 : 1996 \| mink/willy deville greatest hits \| None \| emi \| mink deville row 6 : 1996 \| spanish stroll \| None \| disky \| mink deville row 7 : 1996 \| best of willy deville \| None \| arcade \| willy deville row 8 : 1997 \| his greatest hits \| None \| arcade \| mink deville row 9 : 1997 \| premium gold collection \| None \| emi \| mink deville row 10 : 1997 \| the best of mink deville \| None \| emi \| mink deville row 11 : 1999 \| collection legende \| None \| wagram \| willy deville row 12 : 2001 \| cadillac walk: the mink de \| None \| capitol \| mink deville row 13 : 2003 \| greatest hits \| None \| emi \| mink deville row 14 : 2005 \| mink deville \| None \| disky \| mink deville row 15 : 2009 \| introducing willy deville \| None \| edel \| willy deville ] Execute this SQL based on the above table: select year order by julianday ( label ) - julianday ( artist ) desc limit 1	1981
[ header: version \| length \| album \| remixed by \| year \| comment row 1 : album/single version \| 4:30 \| avant que l'ombre \| None \| 2005 \| see the previous sections row 2 : radio edit \| 3:55 \| None \| None \| 2005 \| the musical introduction is almost fully deleted, as well row 3 : instrumental \| 4:32 \| None \| laurent boutonnat \| 2005 \| this instrumental version is identical to the album version, row 4 : the martyr's remix \| 5:20 \| None \| y-front \| 2005 \| this version contains all the lyrics of the album version row 5 : mother f... dub mix \| 7:50 \| None \| joachim garraud \| 2005 \| all the lyrics from the original version are deleted, row 6 : mother f... vocal club mix \| 8:30 \| None \| joachim garraud \| 2005 \| devoted to the nightclubs, this techno row 7 : music video \| 5:02 \| music videos iv \| None \| 2005 \| None row 8 : live version (recorded in 2006) \| 6:42 (audio) 8:18 ( \| avant que l'ombre... a \| None \| 2006 \| this version is similar to the album one, with ] Execute this SQL based on the above table: select count ( year ) where remixed by = 'None' and comment = 'devoted to the nightclubs, this techno version has a musical introduction which lasts about four minutes, then farmer almost sings a cappella'	0
[ header: league \| league \| position \| teams \| matches \| win \| lose row 1 : v1.league \| 3rd (2000-01) \| 8th \| 8 \| 14 \| 0 \| 14 row 2 : v1.league \| 4th (2001-02) \| 7th \| 7 \| 12 \| 1 \| 11 row 3 : v1.league \| 5th (2002-03) \| 3rd \| 8 \| 14 \| 9 \| 5 row 4 : v1.league \| 6th (2003-04) \| champion \| 7 \| 12 \| 11 \| 1 row 5 : v1.league \| 7th (2004-05) \| 3rd \| 8 \| 14 \| 10 \| 4 row 6 : v1.league \| 8th (2005-06) \| 4th \| 8 \| 14 \| 8 \| 6 row 7 : v・challenge \| 2006-07 \| 6th \| 8 \| 14 \| 5 \| 9 row 8 : v・challenge \| 2007-08 \| 8th \| 8 \| 14 \| 1 \| 13 row 9 : v・challenge \| 2008-09 \| 7th \| 10 \| 18 \| 8 \| 10 row 10 : v・challenge \| 2009-10 \| 5th \| 12 \| 16 \| 8 \| 8 row 11 : v・challenge \| 2010-11 \| 5th \| 12 \| 18 \| 11 \| 7 row 12 : v・challenge \| 2011-12 \| 3rd \| 12 \| 22 \| 16 \| 6 row 13 : v・challenge \| 2012-13 \| 5th \| 10 \| 18 \| 9 \| 9 ] Execute this SQL based on the above table: select league where position = '3rd'	v1.league, v1.league, v・challenge
[ header: terminal \| operator \| depth (m) \| berths \| quay length (m) \| quay cranes \| area (m2) \| capacity (kteus) row 1 : terminal 1 (ct1) \| mtl \| 14 \| 1 \| None \| 4 \| None \| None row 2 : terminal 2 (ct2) \| mtl \| 14 \| 1 \| None \| 5 \| None \| None row 3 : terminal 3 (ct3) \| dpi \| 14 \| 1 \| 305 \| 6 \| 167000 \| >1,200 row 4 : terminal 4 (ct4) \| hit \| 12.5 \| 3 \| None \| 8 \| None \| None row 5 : terminal 5 (ct5) \| mtl \| 14 \| 1 \| None \| 4 \| None \| None row 6 : terminal 6 (ct6) \| hit \| 12.5-15.5 \| 3 \| None \| 11 \| None \| None row 7 : terminal 7 (ct7) \| hit \| 15.5 \| 4 \| None \| 15 \| None \| None row 8 : terminal 8 east (ct8e) \| hit/cosco \| 15.5 \| 2 \| 640 \| 9 \| 300000 \| 1800 row 9 : terminal 8 west (ct8w) \| act \| 15.5 \| 2 \| 740 \| 8 \| 285000 \| >2,000 row 10 : terminal 9 north (ct9n) \| hit \| 15.5 \| 2 \| 700 \| 9 \| 190000 \| >2,600 (n&s) row 11 : terminal 9 south (ct9s) \| mtl \| 15.5 \| 4 \| 1240 \| 13 \| 490000 \| None ] Execute this SQL based on the above table: select terminal where operator = 'hit' and berths < 4	terminal 4 (ct4), terminal 6 (ct6), terminal 9 north (ct9n)
[ header: date \| venue \| opponent \| result \| tournament \| scored row 1 : 10 february 2008 \| craven park \| st. helens \| 24-22 \| super league xiii \| 1 row 2 : 24 march 2008 \| jjb stadium \| wigan warriors \| 18-12 \| super league xiii \| 1 row 3 : 13 april 2008 \| craven park \| bradford bulls \| 20-18 \| super league xiii \| 1 row 4 : 21 june 2008 \| craven park \| wakefield trinity wildcats \| 18-26 \| super league xiii \| 1 row 5 : 8 march 2009 \| craven park \| wakefield trinity wildcats \| 31-18 \| super league xiv \| 1 row 6 : 15 march 2009 \| craven park \| crusaders \| 48-18 \| super league xiv \| 3 row 7 : 3 may 2009 \| murrayfield stadium \| warrington wolves \| 28-36 \| super league xiv \| 1 row 8 : 20 june 2009 \| brewery field \| crusaders \| 18-32 \| super league xiv \| 2 row 9 : 21 august 2009 \| the willows \| salford city reds \| 10-14 \| super league xiv \| 1 row 10 : 5 september 2009 \| craven park \| warrington wolves \| 40-16 \| super league xiv \| 3 row 11 : 12 september 2009 \| belle vue \| wakefield trinity wildcats \| 24-10 \| super league xiv \| 1 row 12 : 7 february 2010 \| craven park \| salford city reds \| 30-12 \| super league xv \| 1 row 13 : 16 may 2010 \| craven park \| crusaders \| 54-10 \| super league xv \| 2 row 14 : 21 may 2010 \| knowsley road \| st. helens \| 68-12 \| super league xv \| 1 row 15 : 20 june 2010 \| craven park \| harlequins rl \| 42-6 \| super league xv \| 2 row 16 : 25 june 2010 \| galpharm stadium \| huddersfield giants \| 16-16 \| super league xv \| 1 row 17 : 4 july 2010 \| belle vue \| wakefield trinity wildcats \| 14-46 \| super league xv \| 1 row 18 : 15 july 2010 \| kc stadium \| hull \| 20-16 \| super league xv \| 1 row 19 : 24 july 2010 \| craven park \| bradford bulls \| 49-24 \| super league xv \| 2 row 20 : 15 august 2010 \| the willows \| salford city reds \| 18-44 \| super league xv \| 2 row 21 : 13 february 2011 \| millennium stadium \| hull \| 22-34 \| super league xv \| 1 row 22 : 20 february 2011 \| halliwell jones stadium \| warrington wolves \| 24-22 \| super league \| 2 row 23 : 7 march 2011 \| the jungle \| castleford tigers \| 27-14 \| super league \| 1 row 24 : 25 june 2011 \| twickenham stoop \| harlequins rl \| 0-34 \| super league \| 1 ] Execute this SQL based on the above table: select venue where scored < ( select scored where venue = 'brewery field' ) order by scored desc limit 1	craven park
[ 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 count ( * ) ( select notes group by notes having count ( * ) = 2 )	0
[ header: rank \| name \| nationality \| time \| notes row 1 : None \| alberto garcia \| spain \| 7:43.89 \| cr row 2 : None \| antonio david jime \| spain \| 7:46.49 \| pb row 3 : None \| jesus espana \| spain \| 7:48.08 \| pb row 4 : None \| john mayock \| great britain \| 7:48.08 \| None row 5 : 5 \| michael buchleitner \| austria \| 7:54.39 \| sb row 6 : 6 \| mohammed mourhit \| belgium \| 7:59.79 \| None row 7 : 7 \| sergey ivanov \| russia \| 8:02.98 \| None row 8 : 8 \| mindaugas pukstas \| lithuania \| 8:03.21 \| pb row 9 : 9 \| irba lakhal \| france \| 8:03.38 \| None row 10 : 10 \| joakim johansson \| denmark \| 8:06.47 \| None row 11 : 11 \| harald steindorfer \| austria \| 8:09.21 \| None row 12 : 12 \| ferdinando vicari \| italy \| 8:17.46 \| None row 13 : 13 \| martin steinbauer \| austria \| 8:22.06 \| None row 14 : 14 \| christos papapetrou \| cyprus \| 8:30.59 \| None ] Execute this SQL based on the above table: select count ( notes ) where rank >= 5	2
[ header: midwest division v t e \| w \| l \| pct \| gb \| home \| road \| div row 1 : y-denver nuggets \| 50 \| 32 \| 0.61 \| None \| 36-5 \| 14-27 \| 15-5 row 2 : x-detroit pistons \| 44 \| 38 \| 0.537 \| 6 \| 30-11 \| 14-27 \| 12-8 row 3 : x-chicago bulls \| 44 \| 38 \| 0.537 \| 6 \| 31-10 \| 13-28 \| 10-10 row 4 : kansas city kings \| 40 \| 42 \| 0.488 \| 10 \| 28-13 \| 12-29 \| 7-13 row 5 : indiana pacers \| 36 \| 46 \| 0.439 \| 14 \| 25-16 \| 11-30 \| 9-11 row 6 : milwaukee bucks \| 30 \| 52 \| 0.366 \| 20 \| 24-17 \| 6-35 \| 7-13 ] Execute this SQL based on the above table: select gb where road = 14 - 1	6.0
[ header: rank \| views \| closed \| item row 1 : 1 \| 1319214 \| 10 july 2013 \| a printer which was stated to be faulty row 2 : 2 \| 1072893 \| 3 june 2006 \| wellington hurricanes player tana um row 3 : 3 \| 810802 \| 18 june 2009 \| mike whittaker (mik row 4 : 4 \| 459420 \| 1 august 2012 \| the implosion of radio network house on 5 row 5 : 5 \| 355889 \| 20 january 2012 \| your tattoo on my bum!! row 6 : 6 \| 384705 \| 24 may 2009 \| buy a tractor and get a 20 row 7 : 7 \| 316350 \| 7 march 2011 \| landscape rocks for sale in chch (follow row 8 : 8 \| 292184 \| 6 may 2010 \| folden 2010 row 9 : 9 \| 276094 \| 8 january 2009 \| jesus christ pita bread row 10 : 10 \| 258775 \| 9 january 2012 \| two days in the studio and advice from n ] Execute this SQL based on the above table: select item where views >= 671	a printer which was stated to be faulty and 'possessed' was listed by nickftward to be on sale. he used quite a lot of humour and sarcasm to describe it, which made the auction more fun. his description: "words cannot express how much i hate this printer. it never works when i need it to - it's like it knows when i have to urgently print something. it randomly decides if it wants to work wirelessly or not. and scanning wirelessly? forget about it! when you first turn it on it will play an endless symphony of sounds that are simply there to fool you into thinking that it might actually do what it's designed to do. don't be fooled. this thing is evil incarnate." the winner of the auction was kornholio, with a winning bid of $280 ($1 reserve price), wellington hurricanes player tana umaga hit team-mate chris masoe with a roxy handbag at the "jolly poacher" bar in christchurch after masoe got into an altercation with a patron. the owner of the bag auctioned it via trademe for $22,750, generating a large media-story and over 1 million page-views before the auction closed, mike whittaker (mikew4) listed his old kelvinator washing machine under the title 'scary washing machine' due to its behaviour when washing. he created a fictional story about how it sucked his shoes, pants, iron and wife into a vortex, beyond which, there are dinosaurs. the pictures he drew of the supposed dinosaurs are being sold as fund-raisers for nz charities. t-shirt company 'mrvintage' has created its own scary washing machine range of men's and women's t-shirts. the washing machine eventually sold for $5,160, the implosion of radio network house on 5 august 2012 was new zealand's first ever controlled building demolition by explosives. like most other buildings in the christchurch central city, radio network house was damaged beyond repair in the 22 february 2011 christchurch earthquake. the right to push the button for the implosion was put up for auction and became the auction with the third highest page views ever. the winning bid was for $26,000 and the consortium of demolition contractors let the child cancer foundation nominate a six-year-old boy from queenstown, your tattoo on my bum!!, buy a tractor and get a 20 acre farm for free, landscape rocks for sale in chch (following the february 2011 christchurch earthquake, there was no shortage of rocks, as whole cliffs had collapsed), folden 2010, jesus christ pita bread, two days in the studio and advice from neil finn
[ header: year \| total \| romanians \| hungarians \| roma row 1 : 1850 \| 4,541 \| 69.3% \| 23.9% \| 6.5% row 2 : 1880 \| 4,636 \| 63.0% \| 30.2% \| None row 3 : 1890 \| 5,499 \| 62.7% \| 31.6% \| None row 4 : 1900 \| 5,553 \| 64.3% \| 29.7% \| None row 5 : 1910 \| 6,234 \| 64.6% \| 30.4% \| None row 6 : 1920 \| 5,887 \| 71.6% \| 27.9% \| None row 7 : 1930 \| 6,456 \| 70.5% \| 22.8% \| 2.6% row 8 : 1941 \| 6,981 \| 78.3% \| 19.4% \| None row 9 : 1956 \| 6,649 \| 74.7% \| 19.0% \| 6.0% row 10 : 1966 \| 6,991 \| 80.9% \| 17.3% \| 1.7% row 11 : 1977 \| 7,089 \| 78.1% \| 16.9% \| 4.9% row 12 : 1992 \| 5,723 \| 74.1% \| 14.2% \| 11.6% row 13 : 2002 \| 5,506 \| 74.4% \| 12.0% \| 13.6% row 14 : 2011 \| 4,574 \| 70.7% \| 11.2% \| 17.9% ] Execute this SQL based on the above table: select roma order by roma asc limit 1702	1.7%, 11.6%, 13.6%, 17.9%, 2.6%, 4.9%, 6.0%, 6.5%
[ header: year \| team \| co-drivers \| car \| class \| laps \| pos. \| class pos. row 1 : 1972 \| ford motor company deutschland \| jochen mass \| ford capri 2600rs \| s 3.0 \| 152 \| dnf \| dnf row 2 : 1973 \| bmw motorsport \| chris amon \| bmw 3.0csl \| t 5.0 \| 160 \| dnf \| dnf row 3 : 1980 \| bmw motorsport gmbh \| hans-georg burger dominique \| bmw m1 \| imsa \| 283 \| 15th \| 5th row 4 : 1981 \| basf cassetten team gs sport \| jean-pierre jarier hel \| bmw m1 \| imsa gtx \| 57 \| dnf \| dnf row 5 : 1982 \| basf cassetten team gs sport \| jean-louis schlesser \| sauber shs c6-ford \| c \| 76 \| dnf \| dnf row 6 : 1985 \| rothmans porsche \| derek bell \| porsche 962c \| c1 \| 367 \| 3rd \| 3rd row 7 : 1986 \| rothmans porsche \| derek bell al holbert \| porsche 962c \| c1 \| 368 \| 1st \| 1st row 8 : 1987 \| rothmans porsche ag \| derek bell al holbert \| porsche 962c \| c1 \| 368 \| 1st \| 1st row 9 : 1988 \| porsche ag \| klaus ludwig dere \| porsche 962c \| c1 \| 394 \| 2nd \| 2nd row 10 : 1989 \| joest racing \| bob wollek \| porsche 962c \| c1 \| 382 \| 3rd \| 3rd row 11 : 1990 \| joest porsche racing \| derek bell frank jelin \| porsche 962c \| c1 \| 350 \| 4th \| 4th row 12 : 1991 \| konrad motorsport \| derek bell frank jelin \| porsche 962c \| c2 \| 347 \| 7th \| 7th row 13 : 1993 \| le mans porsche team \| walter rohrl hurley \| porsche 911 turbo s lm- \| gt \| 79 \| dnf \| dnf row 14 : 1994 \| le mans porsche team joest racing \| thierry boutsen danny \| dauer 962 le mans \| gt1 \| 343 \| 3rd \| 2nd row 15 : 1995 \| porsche kremer racing \| thierry boutsen christoph \| kremer k8 spyder \| wsc \| 289 \| 6th \| 2nd row 16 : 1996 \| porsche ag \| thierry boutsen bob \| porsche 911 gt1 \| gt1 \| 353 \| 2nd \| 1st row 17 : 1997 \| porsche ag \| thierry boutsen bob \| porsche 911 gt1 \| gt1 \| 238 \| dnf \| dnf row 18 : 1998 \| team bmw motorsport \| steve soper tom kristen \| bmw v12 lm \| lmp1 \| 60 \| dnf \| dnf ] Execute this SQL based on the above table: select count ( * ) where class = 'imsa gtx'	0
[ header: year \| company \| number of members affected \| duration of strike \| notes row 1 : 1955 \| southern bell telephone co \| 50000 \| 72 days \| strike was in answer to management's effort to row 2 : 1968 \| at&t \| 200000 \| 18 days \| wage increases to compensate for cost of living, and row 3 : 1971 \| bell system \| 400000 \| 1 week \| cost of living allowance (cola) won for workers row 4 : 1983 \| bell system \| 600000 \| 22 days \| last contract with the bell system before its breakup row 5 : 1986 \| at&t \| 175000 \| 25 days \| cola clause suspended in contract - former bell row 6 : 1989 \| at&t \| 175000 \| None \| child and elder care benefits added to contract. row 7 : 1989 \| nynex \| 175000 \| 17 weeks \| strike was due to major health care cuts by row 8 : 1998 \| us west \| 34000 \| 15 day \| strike was due to mandatory overtime demands and forced pay row 9 : 2000 \| verizon \| 80000 \| 3 weeks \| strike was due to mandatory overtime demands. provisions for row 10 : 2011 \| verizon \| 45000 \| 13 days \| strike was due to major wage and health care cuts row 11 : 2012 \| at&t \| 20000 \| 2 days \| at&t west; californi ] Execute this SQL based on the above table: select company where company in ( 'at&t' , 'at&t' ) order by number of members affected desc limit 1	at&t
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| china \| 41 \| 27 \| 13 \| 81 row 2 : 2 \| russia \| 26 \| 22 \| 34 \| 82 row 3 : 3 \| south korea \| 26 \| 12 \| 17 \| 55 row 4 : 4 \| ukraine \| 23 \| 15 \| 17 \| 55 row 5 : 5 \| japan \| 13 \| 13 \| 21 \| 47 row 6 : 6 \| france \| 8 \| 8 \| 4 \| 20 row 7 : 7 \| great britain \| 8 \| 3 \| 6 \| 17 row 8 : 8 \| united states \| 5 \| 13 \| 18 \| 36 row 9 : 9 \| north korea \| 3 \| 8 \| 3 \| 14 row 10 : 10 \| poland \| 3 \| 4 \| 3 \| 10 row 11 : 11 \| chinese taipei \| 3 \| 3 \| 5 \| 11 row 12 : 12 \| belarus \| 3 \| 3 \| 4 \| 10 row 13 : 13 \| germany \| 3 \| 2 \| 8 \| 13 row 14 : 14 \| hungary \| 3 \| 2 \| 7 \| 12 row 15 : 15 \| czech republic \| 3 \| 0 \| 3 \| 6 row 16 : 16 \| australia \| 2 \| 5 \| 5 \| 12 row 17 : 17 \| italy \| 2 \| 5 \| 5 \| 12 row 18 : 18 \| kazakhstan \| 2 \| 4 \| 0 \| 6 row 19 : 19 \| south africa \| 2 \| 1 \| 2 \| 5 row 20 : 20 \| uzbekistan \| 2 \| 0 \| 1 \| 3 row 21 : 21 \| spain \| 1 \| 4 \| 8 \| 13 row 22 : 22 \| brazil \| 1 \| 2 \| 8 \| 11 row 23 : 23 \| romania \| 1 \| 2 \| 4 \| 7 row 24 : 24 \| netherlands \| 1 \| 1 \| 2 \| 4 row 25 : 25 \| morocco \| 1 \| 1 \| 1 \| 3 row 26 : 25 \| serbia and montenegro \| 1 \| 1 \| 1 \| 3 row 27 : 27 \| latvia \| 1 \| 0 \| 0 \| 1 row 28 : 27 \| moldova \| 1 \| 0 \| 0 \| 1 row 29 : 29 \| mexico \| 0 \| 3 \| 2 \| 5 row 30 : 30 \| finland \| 0 \| 3 \| 1 \| 4 row 31 : 32 \| iran \| 0 \| 2 \| 2 \| 4 row 32 : 33 \| slovenia \| 0 \| 2 \| 0 \| 2 row 33 : 33 \| turkey \| 0 \| 2 \| 0 \| 2 row 34 : 35 \| canada \| 0 \| 1 \| 2 \| 3 row 35 : 35 \| switzerland \| 0 \| 1 \| 2 \| 3 row 36 : 35 \| estonia \| 0 \| 1 \| 2 \| 3 row 37 : 38 \| cuba \| 0 \| 1 \| 1 \| 2 row 38 : 38 \| ireland \| 0 \| 1 \| 1 \| 2 row 39 : 40 \| denmark \| 0 \| 1 \| 0 \| 1 row 40 : 40 \| uganda \| 0 \| 1 \| 0 \| 1 row 41 : 42 \| croatia \| 0 \| 0 \| 3 \| 3 row 42 : 42 \| thailand \| 0 \| 0 \| 3 \| 3 row 43 : 44 \| israel \| 0 \| 0 \| 2 \| 2 row 44 : 45 \| armenia \| 0 \| 0 \| 1 \| 1 row 45 : 45 \| jamaica \| 0 \| 0 \| 1 \| 1 row 46 : 45 \| mongolia \| 0 \| 0 \| 1 \| 1 row 47 : 45 \| malaysia \| 0 \| 0 \| 1 \| 1 row 48 : 45 \| austria \| 0 \| 0 \| 1 \| 1 row 49 : 45 \| greece \| 0 \| 0 \| 1 \| 1 row 50 : 45 \| cyprus \| 0 \| 0 \| 1 \| 1 row 51 : 45 \| bahamas \| 0 \| 0 \| 1 \| 1 row 52 : 45 \| bosnia and herzegovin \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select ( select count ( nation ) where bronze = 3 ) - ( select count ( nation ) where bronze = 3 )	0
[ header: # \| date \| winner \| score \| location \| notes row 1 : 47 \| december 31, 1971 \| west \| 17-13 \| san francisco, ca \| None row 2 : 48 \| december 30, 1972 \| east \| 9-3 \| san francisco, ca \| None row 3 : 49 \| december 29, 1973 \| east \| 35-7 \| san francisco, ca \| None row 4 : 50 \| december 28, 1974 \| east \| 16-14 \| stanford, ca \| None row 5 : 51 \| january 3, 1976 \| west \| 21-14 \| stanford, ca \| None row 6 : 53 \| december 31, 1977 \| west \| 23-3 \| stanford, ca \| None row 7 : 54 \| january 6, 1979 \| east \| 56-17 \| stanford, ca \| None row 8 : 56 \| january 10, 1981 \| east \| 21-3 \| stanford, ca \| None row 9 : 57 \| january 9, 1982 \| west \| 20-13 \| stanford, ca \| None row 10 : 58 \| january 15, 1983 \| east \| 26-25 \| stanford, ca \| None row 11 : 59 \| january 7, 1984 \| east \| 27-19 \| stanford, ca \| None row 12 : 60 \| january 5, 1985 \| west \| 21-10 \| stanford, ca \| None row 13 : 61 \| january 11, 1986 \| east \| 18-7 \| stanford, ca \| None row 14 : 62 \| january 10, 1987 \| west \| 24-21 \| stanford, ca \| None row 15 : 64 \| january 15, 1989 \| east \| 24-6 \| stanford, ca \| None row 16 : 65 \| january 21, 1990 \| west \| 22-21 \| stanford, ca \| None row 17 : 66 \| january 26, 1991 \| west \| 24-21 \| stanford, ca \| None row 18 : 67 \| january 19, 1992 \| west \| 14-6 \| stanford, ca \| None row 19 : 68 \| january 24, 1993 \| east \| 31-17 \| stanford, ca \| None row 20 : 69 \| january 15, 1994 \| west \| 29-28 \| stanford, ca \| None row 21 : 70 \| january 14, 1995 \| west \| 30-28 \| stanford, ca \| None row 22 : 73 \| january 10, 1998 \| west \| 24-7 \| stanford, ca \| None row 23 : 75 \| january 15, 2000 \| east \| 35-21 \| stanford, ca \| None row 24 : 77 \| january 12, 2002 \| west \| 21-13 \| san francisco, ca \| None row 25 : 78 \| january 11, 2003 \| east \| 20-17 \| san francisco, ca \| None row 26 : 79 \| january 10, 2004 \| west \| 28-7 \| san francisco, ca \| None row 27 : 80 \| january 15, 2005 \| east \| 45-27 \| san francisco, ca \| None row 28 : 81 \| january 21, 2006 \| west \| 35-31 \| san antonio, \| None row 29 : 82 \| january 20, 2007 \| west \| 21-3 \| houston, tx \| None row 30 : 83 \| january 19, 2008 \| west \| 31-13 \| houston, tx \| None row 31 : 84 \| january 17, 2009 \| east \| 24-19 \| houston, tx \| None row 32 : 85 \| january 23, 2010 \| east \| 13-10 \| orlando, fl \| notes row 33 : 86 \| january 22, 2011 \| east \| 25-8 \| orlando, fl \| notes row 34 : 87 \| january 21, 2012 \| west \| 24-17 \| st. petersburg, f \| notes row 35 : 89 \| january 18, 2014 \| east \| 23-13 \| st. petersburg, f \| notes ] Execute this SQL based on the above table: select count ( distinct date )	35
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| great britain (gbr) \| 2 \| 1 \| 2 \| 5 row 2 : 2 \| brazil (bra) \| 2 \| 0 \| 0 \| 2 row 3 : 3 \| spain (esp) \| 1 \| 2 \| 0 \| 3 row 4 : 4 \| austria (aut) \| 1 \| 1 \| 0 \| 2 row 5 : 4 \| greece (gre) \| 1 \| 1 \| 0 \| 2 row 6 : 4 \| united states (usa) \| 1 \| 1 \| 0 \| 2 row 7 : 7 \| france (fra) \| 1 \| 0 \| 1 \| 2 row 8 : 7 \| israel (isr) \| 1 \| 0 \| 0 \| 1 row 9 : 7 \| norway (nor) \| 1 \| 0 \| 0 \| 1 row 10 : 10 \| ukraine (ukr) \| 0 \| 2 \| 0 \| 2 row 11 : 11 \| china (chn) \| 0 \| 1 \| 0 \| 1 row 12 : 11 \| czech republic (cze) \| 0 \| 1 \| 0 \| 1 row 13 : 11 \| canada (can) \| 0 \| 1 \| 0 \| 1 row 14 : 14 \| denmark (den) \| 0 \| 0 \| 2 \| 2 row 15 : 15 \| argentina (arg) \| 0 \| 0 \| 1 \| 1 row 16 : 15 \| italy (ita) \| 0 \| 0 \| 1 \| 1 row 17 : 15 \| japan (jpn) \| 0 \| 0 \| 1 \| 1 row 18 : 15 \| poland (pol) \| 0 \| 0 \| 1 \| 1 row 19 : 15 \| slovenia (slo) \| 0 \| 0 \| 1 \| 1 row 20 : 15 \| sweden (swe) \| 0 \| 0 \| 1 \| 1 row 21 : total \| None \| 11 \| 11 \| 11 \| 33 ] Execute this SQL based on the above table: select rank order by total asc limit 1	7
[ header: denomination \| 1870 \| 1880 \| 1890 \| 1900 \| 1910 \| 1920 \| 1930 \| 1941 \| 1949 \| 2001 \| 2011 row 1 : roman catholic \| 72.3% \| 69.4% \| 64.7% \| 60.7% \| 59.8% \| 59.1% \| 60.7% \| 63.1% \| 69.8% \| 45.8% \| 28.9% row 2 : calvinist \| 4.8% \| 6.1% \| 7.4% \| 8.9% \| 9.9% \| 10.9% \| 12.1% \| 13.6% \| 15.5% \| 12.6% \| 8.5% row 3 : lutheran \| 5.3% \| 5.5% \| 5.6% \| 5.3% \| 4.9% \| 4.8% \| 5% \| 5.3% \| 5.4% \| 2.6% \| 1.7% row 4 : jewish \| 16.6% \| 19.7% \| 21% \| 23.6% \| 23.1% \| 23.2% \| 20.3% \| 15.8% \| 6.4% \| 0.5% \| 0.4% row 5 : others \| 1% \| 1.3% \| 1.3% \| 1.5% \| 2.2% \| 2% \| 1.9% \| 1.6% \| 1.4% \| 3.9% \| 3.5% row 6 : without religion \| 0% \| 0% \| 0% \| 0% \| 0% \| 0% \| 0% \| 0% \| 0% \| 19.5% \| 22.9% row 7 : no answer \| 0% \| 0% \| 0% \| 0% \| 0% \| 0% \| 0% \| 0% \| 0% \| 15.1% \| 34.1% ] Execute this SQL based on the above table: select 1941 where 1870 = ( select 1870 where 1941 = '0%' ) + 1	1.6%
[ header: poll source \| date(s) administered \| sample size \| margin of error \| andrew cuomo (d) \| rob astorino (r) \| other \| undecided row 1 : siena \| march 16-20, 2014 \| 813 \| ± 3.4% \| 61% \| 26% \| None \| 13% row 2 : marist \| february 28-march 3, 2014 \| 658 \| ± 3.8% \| 65% \| 25% \| None \| 10% row 3 : quinnipiac \| february 6-10, 2014 \| 1488 \| ± 2.5% \| 58% \| 24% \| 2% \| 16% row 4 : siena \| january 12-16, 2014 \| 808 \| ± 3.4% \| 67% \| 19% \| 3% \| 11% row 5 : quinnipiac \| november 20-24, 2013 \| 1337 \| ± 2.7% \| 56% \| 25% \| 2% \| 17% row 6 : marist \| november 18-20, 2013 \| 675 \| ± 3.8% \| 65% \| 23% \| None \| 12% row 7 : siena \| november 11-14, 2013 \| 806 \| ± 3.5% \| 63% \| 24% \| None \| 13% ] Execute this SQL based on the above table: select min ( sample size ) where andrew cuomo (d) = '61%'	813.0
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| belgium \| 6 \| 0 \| 3 \| 9 row 2 : 2= \| germany \| 2 \| 2 \| 2 \| 7 row 3 : 2= \| netherlands \| 2 \| 2 \| 2 \| 6 row 4 : 4 \| turkey \| 2 \| 0 \| 1 \| 3 row 5 : 5 \| france \| 1 \| 3 \| 6 \| 10 row 6 : 6 \| belarus \| 1 \| 2 \| 1 \| 4 row 7 : 7 \| georgia \| 1 \| 1 \| 0 \| 2 row 8 : 8 \| poland \| 1 \| 0 \| 4 \| 5 row 9 : 9 \| great britain \| 0 \| 2 \| 3 \| 5 row 10 : 10 \| spain \| 0 \| 2 \| 1 \| 3 row 11 : 11 \| austria \| 0 \| 1 \| 1 \| 2 row 12 : 12 \| czech republic \| 0 \| 1 \| 0 \| 1 row 13 : 13 \| russia \| 0 \| 0 \| 2 \| 2 row 14 : 14= \| estonia \| 0 \| 0 \| 1 \| 1 row 15 : 14= \| italy \| 0 \| 0 \| 1 \| 1 row 16 : 14= \| lithuania \| 0 \| 0 \| 1 \| 1 row 17 : 14= \| romania \| 0 \| 0 \| 1 \| 1 row 18 : 14= \| portugal \| 0 \| 0 \| 1 \| 1 row 19 : 14= \| yugoslavia \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select nation where nation != 'lithuania' and silver = ( select silver where nation = 'lithuania' )	belgium, turkey, poland, russia, estonia, italy, romania, portugal, yugoslavia
[ header: season \| winner \| team \| position \| age row 1 : 1932-33 \| carl voss \| detroit red wings \| c \| 25 row 2 : 1933-34 \| russ blinco \| montreal maroons \| c \| 25 row 3 : 1934-35 \| sweeney schriner \| new york americans \| lw \| 22 row 4 : 1936-37 \| syl apps \| toronto maple leafs \| c \| 21 row 5 : 1937-38 \| cully dahlstrom \| chicago black hawks \| c \| 24 row 6 : 1939-40 \| kilby macdonald \| new york rangers \| lw \| 25 row 7 : 1940-41 \| johnny quilty \| montreal canadiens \| c \| 19 row 8 : 1946-47 \| howie meeker \| toronto maple leafs \| rw \| 21 row 9 : 1947-48 \| jim mcfadden \| detroit red wings \| c \| 27 row 10 : 1948-49 \| pentti lund \| new york rangers \| rw \| 22 row 11 : 1949-50 \| jack gelineau \| boston bruins \| g \| 24 row 12 : 1951-52 \| bernie geoffrion \| montreal canadiens \| rw \| 20 row 13 : 1952-53 \| gump worsley \| new york rangers \| g \| 23 row 14 : 1953-54 \| camille henry \| new york rangers \| c \| 20 row 15 : 1961-62 \| bobby rousseau \| montreal canadiens \| rw \| 21 row 16 : 1963-64 \| jacques laperriere \| montreal canadiens \| d \| 21 row 17 : 1964-65 \| roger crozier \| detroit red wings \| g \| 22 row 18 : 1967-68 \| derek sanderson \| boston bruins \| c \| 21 row 19 : 1969-70 \| tony esposito \| chicago black hawks \| g \| 26 row 20 : 1972-73 \| steve vickers \| new york rangers \| lw \| 21 row 21 : 1974-75 \| eric vail \| atlanta flames \| lw \| 20 row 22 : 1975-76 \| bryan trottier \| new york islanders \| c \| 19 row 23 : 1976-77 \| willi plett \| atlanta flames \| rw \| 21 row 24 : 1977-78 \| mike bossy \| new york islanders \| rw \| 20 row 25 : 1982-83 \| steve larmer \| chicago black hawks \| rw \| 21 row 26 : 1983-84 \| tom barrasso \| buffalo sabres \| g \| 18 row 27 : 1984-85 \| mario lemieux \| pittsburgh penguins \| c \| 19 row 28 : 1986-87 \| luc robitaille \| los angeles kings \| lw \| 20 row 29 : 1987-88 \| joe nieuwendyk \| calgary flames \| c \| 21 row 30 : 1992-93 \| teemu selanne \| winnipeg jets \| rw \| 22 row 31 : 1994-95 \| peter forsberg \| quebec nordiques \| c \| 21 row 32 : 1995-96 \| daniel alfredsson \| ottawa senators \| rw \| 22 row 33 : 1997-98 \| sergei samsonov \| boston bruins \| lw \| 19 row 34 : 1998-99 \| chris drury \| colorado avalanche \| c \| 22 row 35 : 2001-02 \| dany heatley \| atlanta thrashers \| rw \| 20 row 36 : 2003-04 \| andrew raycroft \| boston bruins \| g \| 23 ] Execute this SQL based on the above table: select ( select age where team = 'new york rangers' ) > 1171	0
[ header: rank \| hospital \| city \| county \| # beds \| type of hospital row 1 : 4 \| sonoma developmental center \| eldridge \| sonoma \| 1300 \| mental health row 2 : 6 \| fairview developmental center \| costa mesa \| orange \| 1218 \| mental health row 3 : 7 \| porterville developmental center \| porterville \| tulare \| 1210 \| mental health row 4 : 10 \| veterans home of california \| yountville \| napa \| 1100 \| veteran admin row 5 : 11 \| metropolitan state hospital \| norwalk \| los angeles \| 1096 \| mental health row 6 : 12 \| va palo alto health care system \| palo alto \| santa clara \| 967 \| veteran admin row 7 : 13 \| cedars-sinai medical center \| west hollywood \| los angeles \| 952 \| general acute care row 8 : 14 \| loma linda university medica center \| loma linda \| san bernardino \| 822 \| university/teaching row 9 : 15 \| ucla medical center \| los angeles \| los angeles \| 668 \| general acute care row 10 : 18 \| ucsd medical center \| san diego \| san diego \| 594 \| university/teaching row 11 : 19 \| ucsf medical center mount zion \| san francisco \| san francisco \| 579 \| general acute care row 12 : 20 \| ucd medical center \| sacramento \| sacramento \| 577 \| university/teaching row 13 : 23 \| harbor ucla medical center \| torrance \| los angeles \| 553 \| general acute care row 14 : 24 \| mission hospital regional medical center \| mission viejo \| orange \| 552 \| general acute care row 15 : 25 \| alta bates summit medical center \| berkeley \| alameda \| 551 \| general acute care row 16 : 26 \| san francisco general hospital \| san francisco \| san francisco \| 550 \| general acute care row 17 : 27 \| ucsf medical center at parn \| san francisco \| san francisco \| 536 \| general acute care row 18 : 29 \| santa clara valley medical center \| san jose \| santa clara \| 524 \| general acute care row 19 : 30 \| scripps mercy hospital \| san diego \| san diego \| 523 \| general acute care row 20 : 31 \| huntington memorial hospital \| pasadena \| los angeles \| 522 \| general acute care row 21 : 33 \| grossmont hospital \| la mesa \| san diego \| 481 \| general acute care row 22 : 34 \| doctors medical center \| modesto \| stanislaus \| 465 \| general acute care row 23 : 35 \| st. bernardine medical \| san bernardino \| san bernardino \| 463 \| general acute care row 24 : 36 \| uci medical center \| orange \| orange \| 462 \| general acute care row 25 : 37 \| stanford medical center \| stanford \| santa clara \| 460 \| general acute care row 26 : 39 \| methodist hospital \| arcadia \| los angeles \| 455 \| general acute care row 27 : 40 \| providence st. joseph \| burbank \| los angeles \| 455 \| general acute care row 28 : 42 \| agnews developmental center \| san jose \| santa clara \| 450 \| mental health row 29 : 43 \| jewish home \| san francisco \| san francisco \| 450 \| nursing homes row 30 : 44 \| st. joseph hospital orange \| orange \| orange \| 448 \| general acute care row 31 : 45 \| presbyterian intercommunity \| whittier \| los angeles \| 441 \| general acute care ] Execute this SQL based on the above table: select type of hospital where rank = 36 and type of hospital = 'general acute care' intersect select type of hospital where rank = 36 and type of hospital = 'general acute care'	general acute care
[ header: team name \| leagues \| base \| year started \| year ended \| notable riders row 1 : aldershot shots \| national league division three \| tongham greyhound stadium \| 1950 \| 1960 \| None row 2 : bristol bulldogs \| national league, provincial league \| knowle stadium, bristol \| pre-1939 \| 1954 \| phil crump row 3 : cradley heath heathens \| british league \| dudley wood stadium \| 1947 \| 1996 \| listed in article row 4 : crayford kestrels \| british league division two/national league \| crayford stadium, crayford \| 1968 \| 1983 \| None row 5 : fleetwood flyers \| speedway national league division two \| highbury avenue sports stadium, fleetwood \| 1948 \| 1952 \| None row 6 : hackney wick wolves \| speedway national league \| hackney wick stadium \| 1935 \| 1939 \| listed in article row 7 : hackney hawks \| british league \| hackney wick stadium \| 1963 \| 1983 \| listed in article row 8 : hastings saxons \| speedway national league division three \| pilot field, hastings \| 1948 \| 1949 \| None row 9 : hull vikings \| elite league, premier league \| craven park \| 1995 \| 2005 \| listed in article row 10 : leicester stadium \| speedway northern league, speedway southern league \| the stadium, blackbird road, leicester \| 1929 \| 1931 \| cyril "squib" row 11 : leicester hounds \| speedway national league division two \| the stadium, blackbird road, leicester \| 1937 \| 1937 \| wilf plant, lloy row 12 : liverpool chads \| speedway national league division three, speedway national \| stanley stadium, liverpool \| late 1920s \| 1960 \| peter craven row 13 : middlesbrough bears \| northern league, speedway national league \| cleveland park \| 1939 \| 1996 \| listed in article row 14 : milton keynes knights \| None \| groveway greyhound stadium, milton key \| 1978 \| 1992 \| None row 15 : new cross rangers \| speedway national league, speedway provincial league \| new cross stadium \| 1937 \| 1963 \| tom farndon row 16 : newport wasps \| provincial league, british league, national \| hayley stadium \| 1964 (closed 1977, reopened \| 2011 \| None row 17 : nottingham \| southern league, national league \| olympic gardens/white city stadium \| 1930 \| 1938 \| None row 18 : paisley lions \| speedway national league \| love street \| 1975 \| 1976 \| sid and mick sheldrick, row 19 : rayleigh rockets \| speedway provincial league, metropolitan league \| rayleigh weir stadium, ray \| 1949 \| 1973 \| None row 20 : southampton saints \| speedway national league \| banister court stadium, southampton \| 1928 \| 1963 \| None row 21 : sunderland stars \| speedway national league \| sunderland greyhound stadium, east boldon \| 1971 \| 1974 \| None row 22 : trelawny pitbulls \| conference league \| clay country moto parc, st aus \| 2003 \| 2003 \| None row 23 : wembley lions \| southern league, speedway national league \| empire stadium \| 1929 \| 1971 \| listed in article row 24 : west ham hammers \| speedway british league, speedway \| west ham stadium \| 1930 \| 1971 \| listed in article row 25 : white city rebels \| speedway british league \| white city stadium \| 1976 \| 1978 \| gordon kennett, steve row 26 : wimbledon dons \| speedway national league \| wimbledon stadium \| 1929 \| 2005 \| listed in article ] Execute this SQL based on the above table: select count ( leagues )	25
[ header: match \| team \| result points \| match status \| opposition strength \| regional strength \| ranking points row 1 : amplistan vs. bestrudi \| amplistan bestrudia \| 0 3 \| 1.0 1.0 \| 0.50 1.98 \| 0.94 0.94 \| 0 558 row 2 : amplistan vs. bestrudi \| amplistan bestrudia \| 1 1 \| 1.0 1.0 \| 0.50 1.98 \| 0.94 0.94 \| 47 186 row 3 : amplistan vs. bestrudi \| amplistan bestrudia \| 3 0 \| 4.0 4.0 \| 0.50 1.98 \| 0.94 0.94 \| 564 0 row 4 : amplistan vs. bestrudi \| amplistan bestrudia \| 1 2 \| 4.0 4.0 \| 0.50 1.98 \| 0.94 0.94 \| 188 1488 row 5 : amplistan vs. conesto \| amplistan conesto \| 0 3 \| 1.0 1.0 \| 1.61 1.98 \| 0.99 0.99 \| 0 588 row 6 : conesto vs. delphi \| conesto delphiz \| 3 0 \| 2.5 2.5 \| 1.70 1.61 \| 0.96 0.96 \| 1224 0 row 7 : conesto vs. delphi \| conesto delphiz \| 0 3 \| 2.5 2.5 \| 1.70 1.61 \| 0.96 0.96 \| 0 1159 row 8 : conesto vs. amplistan \| conesto amplistan \| 1 2 \| 4.0 4.0 \| 1.98 1.61 \| 0.99 0.99 \| 784 1275 ] Execute this SQL based on the above table: select count ( team ) where match = 'amplistan vs. conesto (friendly) result: 1-2' and team = 'conesto delphiz'	0
[ header: year \| title \| role \| network \| notes row 1 : 2000 \| youth y2k 青春@y2 \| cheng shasha \| None \| None row 2 : 2001 \| the monkey king: quest for the sutra \| purple orchid \| tvb \| None row 3 : 2001 \| 藍寶石的夜空 \| shek po-yi \| tvb \| eason chan's music video row 4 : 2002 \| 一twins零一夜 \| ah sa \| tvb \| music video row 5 : 2003 \| triumph in the skies 衝上雲霄 \| charlene \| tvb \| cameo row 6 : 2003 \| all about boy'z 一起喝采 \| langlang princess \| now.com.hk \| appearance in episode 2 row 7 : 2003 \| 2半3更之困車立 \| ah sa \| now.com.hk \| None row 8 : 2003 \| 愛在陽光下 \| aids patient \| None \| music video produced to support the global anti-aid row 9 : 2004 \| kung fu soccer 功夫足球 \| None \| tvb \| guest star row 10 : 2004 \| sunshine heartbeat 赤沙印記@四葉草.2 \| ah sa \| tvb \| guest star row 11 : 2004 \| 家有寶貝 \| ah sa \| None \| guest star row 12 : 2007 \| colours of love 森之愛情 \| wai-fong / ching- \| tvb \| None row 13 : 2007 \| life off stage \| None \| None \| None row 14 : 2010 \| calling for love! 呼叫大明星 \| chen dexin \| cts \| None row 15 : 2011 \| the legend of swordman 劍俠情緣 \| tang xiaowan / n \| None \| None row 16 : 2012 \| happy marshal 歡樂元帥 \| little dragon girl (xiao long nu) \| None \| None ] Execute this SQL based on the above table: select title where role = 'ah sa'	一twins零一夜, 2半3更之困車立, sunshine heartbeat 赤沙印記@四葉草.2, 家有寶貝
[ header: date \| site \| winning team \| winning team \| losing team \| losing team \| series row 1 : 1959 \| ames \| missouri \| 14 \| iowa state \| 0 \| missouri 30-16-6 row 2 : 1960 \| columbia \| missouri \| 34 \| iowa state \| 8 \| missouri 31-16-6 row 3 : 1962 \| columbia \| missouri \| 21 \| iowa state \| 6 \| missouri 33-16-6 row 4 : 1963 \| ames \| missouri \| 7 \| iowa state \| 0 \| missouri 34-16-6 row 5 : 1964 \| columbia \| missouri \| 10 \| iowa state \| 0 \| missouri 35-16-6 row 6 : 1965 \| ames \| missouri \| 23 \| iowa state \| 7 \| missouri 36-16-6 row 7 : 1967 \| ames \| missouri \| 23 \| iowa state \| 7 \| missouri 37-16-7 row 8 : 1969 \| ames \| missouri \| 40 \| iowa state \| 13 \| missouri 39-16-7 row 9 : 1971 \| ames \| iowa state \| 45 \| missouri \| 17 \| missouri 39-18-7 row 10 : 1973 \| ames \| iowa state \| 17 \| missouri \| 7 \| missouri 40-19-7 row 11 : 1974 \| columbia \| missouri \| 10 \| iowa state \| 7 \| missouri 41-19-7 row 12 : 1976 \| columbia \| iowa state \| 21 \| missouri \| 17 \| missouri 42-20-7 row 13 : 1977 \| ames \| iowa state \| 7 \| missouri \| 0 \| missouri 42-21-7 row 14 : 1978 \| columbia \| missouri \| 26 \| iowa state \| 13 \| missouri 43-21-7 row 15 : 1980 \| columbia \| missouri \| 14 \| iowa state \| 10 \| missouri 45-21-7 row 16 : 1982 \| columbia \| iowa state \| 17 \| missouri \| 17 \| missouri 45-22-8 row 17 : 1983 \| ames \| missouri \| 41 \| iowa state \| 18 \| missouri 46-22-8 row 18 : 1985 \| ames \| missouri \| 28 \| iowa state \| 27 \| missouri 47-22-9 row 19 : 1988 \| columbia \| iowa state \| 21 \| missouri \| 3 \| missouri 48-24-9 row 20 : 1992 \| ames \| iowa state \| 28 \| missouri \| 14 \| missouri 48-28-9 row 21 : 1995 \| columbia \| missouri \| 45 \| iowa state \| 31 \| missouri 51-28-9 row 22 : 1998 \| ames \| #21 missouri \| 35 \| iowa state \| 19 \| missouri 53-29-9 row 23 : 1999 \| columbia \| iowa state \| 24 \| missouri \| 21 \| missouri 53-30-9 row 24 : 2000 \| ames \| iowa state \| 39 \| missouri \| 20 \| missouri 53-31-9 row 25 : 2001 \| columbia \| iowa state \| 20 \| missouri \| 14 \| missouri 53-32-9 row 26 : 2004 \| ames \| missouri \| 17 \| iowa state \| 14 \| missouri 55-33-9 row 27 : 2007 \| columbia \| #13 missouri \| 42 \| iowa state \| 28 \| missouri 57-34-9 row 28 : 2008 \| ames \| #11 missouri \| 52 \| iowa state \| 20 \| missouri 58-34-9 row 29 : 2009 \| columbia \| missouri \| 34 \| iowa state \| 24 \| missouri 59-34-9 row 30 : 2010 \| ames \| #15 missouri \| 14 \| iowa state \| 0 \| missouri 60-34-9 ] Execute this SQL based on the above table: select count ( * ) where winning team >= 50	1
[ 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 count ( score )	8
[ header: year \| title \| role \| notes row 1 : 1991 \| let him have it \| derek bentley \| None row 2 : 1992 \| death and the compass \| alonso zunz \| None row 3 : 1993 \| anchoress \| priest \| None row 4 : 1994 \| shallow grave \| david \| None row 5 : 1996 \| jude \| jude fawley \| None row 6 : 1998 \| elizabeth \| duke of norfolk \| None row 7 : 1998 \| a price above rubies \| sender horowitz \| None row 8 : 1999 \| heart \| gary ellis \| None row 9 : 1999 \| existenz \| seminar leader \| None row 10 : 1999 \| with or without you \| vincent boyd \| None row 11 : 2000 \| gone in 60 seconds \| raymond calitri \| None row 12 : 2000 \| the tyre \| salesman \| short film row 13 : 2001 \| the others \| charles stewart \| None row 14 : 2001 \| the invisible circus \| wolf \| None row 15 : 2001 \| this little piggy \| cabbie \| short film row 16 : 2002 \| 24 hour party people \| boethius \| None row 17 : 2002 \| i am dina \| leo zhukovsky \| None row 18 : 2002 \| revengers tragedy \| vindici \| None row 19 : 2002 \| 28 days later \| major henry west \| None row 20 : 2007 \| the dark is rising \| the rider \| None row 21 : 2008 \| new orleans, mon amour \| dr. henry \| None row 22 : 2009 \| g.i. joe: the \| james mccullen \| None row 23 : 2009 \| amelia \| fred noonan \| None row 24 : 2009 \| the happiness salesman \| salesman \| short film row 25 : 2012 \| song for marion \| james harris \| None row 26 : 2013 \| thor: the dark world \| malekith \| None ] Execute this SQL based on the above table: select role where id = 1	derek bentley
[ header: district \| incumbent \| party \| first elected \| result \| candidates row 1 : virginia 1 \| thomas newton, j \| adams-clay republican \| 1801 \| re-elected \| thomas newton, j row 2 : virginia 2 \| arthur smith \| crawford republican \| 1821 \| retired jacksonian gain \| james trezvant (j) 75. row 3 : virginia 4 \| mark alexander \| crawford republican \| 1819 \| re-elected \| mark alexander (j) row 4 : virginia 5 \| john randolph \| crawford republican \| 1799 1819 \| re-elected \| john randolph (j) 100% row 5 : virginia 6 \| george tucker \| crawford republican \| 1819 \| retired jacksonian gain \| thomas davenport (j) row 6 : virginia 7 \| jabez leftwich \| crawford republican \| 1821 \| lost re-election jacksonia \| nathaniel h. row 7 : virginia 8 \| burwell bassett \| crawford republican \| 1805 1821 \| re-elected \| burwell bassett (j) 95. row 8 : virginia 9 \| andrew stevenson \| crawford republican \| 1821 \| re-elected \| andrew stevenson (j) row 9 : virginia 10 \| william c. rives \| crawford republican \| 1823 \| re-elected \| william c. rives ( row 10 : virginia 11 \| philip p. barbour \| crawford republican \| 1814 (special) \| retired adams gain \| robert taylor ( row 11 : virginia 12 \| robert s. garnett \| crawford republican \| 1817 \| re-elected \| robert s. garnett ( row 12 : virginia 16 \| james stephenson \| federalist \| 1821 \| retired adams gain \| william armstrong (a) 57 row 13 : virginia 17 \| jared williams \| crawford republican \| 1819 \| retired adams gain \| alfred h. powell (a row 14 : virginia 18 \| joseph johnson \| jackson republican \| 1823 \| re-elected \| joseph johnson (j) row 15 : virginia 19 \| william mccoy \| crawford republican \| 1811 \| re-elected \| william mccoy (j row 16 : virginia 20 \| john floyd \| crawford republican \| 1817 \| re-elected \| john floyd (j) 84 ] Execute this SQL based on the above table: select count ( party ) where incumbent is null	0
[ header: date \| opponents \| h/a \| result f-a \| scorers \| attendance row 1 : 27 august 1921 \| everton \| a \| 0-5 \| None \| 30000 row 2 : 29 august 1921 \| west bromwich albion \| h \| 2-3 \| partridge, robinson \| 20000 row 3 : 3 september 1921 \| everton \| h \| 2-1 \| harrison, spence \| 25000 row 4 : 7 september 1921 \| west bromwich albion \| a \| 0-0 \| None \| 15000 row 5 : 10 september 1921 \| chelsea \| a \| 0-0 \| None \| 35000 row 6 : 17 september 1921 \| chelsea \| h \| 0-0 \| None \| 28000 row 7 : 24 september 1921 \| preston north end \| a \| 2-3 \| lochhead, partridge \| 25000 row 8 : 1 october 1921 \| preston north end \| h \| 1-1 \| spence \| 30000 row 9 : 15 october 1921 \| tottenham hotspur \| h \| 2-1 \| sapsford, spence \| 30000 row 10 : 22 october 1921 \| manchester city \| a \| 1-4 \| spence \| 24000 row 11 : 5 november 1921 \| middlesbrough \| h \| 3-5 \| lochhead, sapsford, spence \| 30000 row 12 : 12 november 1921 \| middlesbrough \| a \| 0-2 \| None \| 18000 row 13 : 26 november 1921 \| aston villa \| h \| 1-0 \| henderson \| 33000 row 14 : 3 december 1921 \| bradford city \| a \| 1-2 \| spence \| 15000 row 15 : 10 december 1921 \| bradford city \| h \| 1-1 \| henderson \| 9000 row 16 : 17 december 1921 \| liverpool \| a \| 1-2 \| sapsford \| 40000 row 17 : 24 december 1921 \| liverpool \| h \| 0-0 \| None \| 30000 row 18 : 26 december 1921 \| burnley \| h \| 0-1 \| None \| 15000 row 19 : 2 january 1922 \| sheffield united \| a \| 0-3 \| None \| 18000 row 20 : 14 january 1922 \| newcastle united \| h \| 0-1 \| None \| 20000 row 21 : 21 january 1922 \| sunderland \| a \| 1-2 \| sapsford \| 10000 row 22 : 28 january 1922 \| sunderland \| h \| 3-1 \| lochhead, sapsford, spence \| 18000 row 23 : 11 february 1922 \| huddersfield town \| h \| 1-1 \| spence \| 30000 row 24 : 27 february 1922 \| huddersfield town \| a \| 1-1 \| sapsford \| 30000 row 25 : 11 march 1922 \| arsenal \| h \| 1-0 \| spence \| 30000 row 26 : 18 march 1922 \| blackburn rovers \| h \| 0-1 \| None \| 30000 row 27 : 5 april 1922 \| arsenal \| a \| 1-3 \| lochhead \| 25000 row 28 : 8 april 1922 \| bolton wanderers \| a \| 0-1 \| None \| 28000 row 29 : 15 april 1922 \| oldham athletic \| h \| 0-3 \| None \| 30000 row 30 : 17 april 1922 \| sheffield united \| h \| 3-2 \| harrison, lochhead, partridge \| 28000 row 31 : 22 april 1922 \| oldham athletic \| a \| 1-1 \| lochhead \| 30000 row 32 : 29 april 1922 \| cardiff city \| h \| 1-1 \| partridge \| 18000 ] Execute this SQL based on the above table: select date where id = ( select id where date = '29 august 1921' ) - 1	27 august 1921
[ header: wager \| winner \| loser \| location \| date \| notes row 1 : hair \| psycho clown \| super crazy \| mexico city, distrito federal \| may 29, 2011 \| six man tag team steel cage masks v row 2 : hair \| halloween \| coco rojo \| tlalnepantla de \| july 10, 2011 \| steel cage match, where los perros del row 3 : hair \| psycho clown \| x-fly \| guadalajara, \| july 31, 2011 \| six man tag team steel cage masks v row 4 : title \| damian 666 \| monster clown \| naucalpan, mexico \| august 28, 2011 \| four tag team steel cage match, where los psycho row 5 : hair \| monster clown, murder clown and psycho clown \| halloween, damian 666 and n \| monterrey, nuevo leon \| october 9, 2011 \| steel cage masks vs. hairs row 6 : hair \| psicosis \| joe lider \| mexico city \| august 5, 2012 \| None row 7 : hair \| dark cuervo \| halloween \| san luis potosi, \| october 7, 2012 \| domo de la muerte, ] Execute this SQL based on the above table: select count ( location ) where loser not null	7
[ header: # \| judge \| state \| born/died \| active \| chief \| senior \| appointed by \| reason for termination row 1 : 3 \| david davie shelby \| al \| 1847-1914 \| 1899-1914 \| None \| None \| mckinley \| death row 2 : 4 \| richard wilde walker, jr \| al \| 1857-1936 \| 1914-1930 \| None \| 1930-1936 \| wilson \| death row 3 : 9 \| samuel hale \| ga \| 1873-1958 \| 1931-1949 \| None \| 1949-1958 \| hoover \| death row 4 : 11 \| edwin ruthven hol \| ms \| 1878-1961 \| 1936-1954 \| None \| 1954-1961 \| f. roosevel \| death row 5 : 12 \| leon clarence mccord \| al \| 1878-1952 \| 1938-1951 \| None \| 1951-1952 \| f. roosevel \| death row 6 : 13 \| curtis longino waller \| fl \| 1887-1950 \| 1943-1950 \| None \| None \| f. roosevel \| death row 7 : 17 \| louie willard strum \| fl \| 1890-1954 \| 1950-1954 \| None \| None \| truman \| death row 8 : 22 \| john robert brown \| tx \| 1909-1984 \| 1955-1984 \| 1967-1979 \| 1984-1993 \| eisenhower \| death row 9 : 23 \| john minor wisdom \| la \| 1905-1999 \| 1957-1977 \| None \| 1977-1999 \| eisenhower \| death row 10 : 24 \| griffin bell \| ga \| 1918-2009 \| 1961-1976 \| None \| None \| kennedy \| resignation row 11 : 25 \| walter pettus gewin \| al \| 1908-1981 \| 1961-1976 \| None \| 1976-1981 \| kennedy \| death row 12 : 26 \| william homer thornberry \| tx \| 1909-1995 \| 1965-1978 \| None \| 1978-1995 \| l. johnson \| death row 13 : 29 \| john cooper godbold \| al \| 1920-2009 \| 1966-1981 \| 1981-1981 \| None \| l. johnson \| reassignment to 11th circuit row 14 : 37 \| joe mcdonald in \| tx \| 1903-1990 \| 1969-1973 \| None \| 1973-1990 \| nixon \| death row 15 : 41 \| james clinkscales hill \| ga \| 1924- \| 1976-1981 \| None \| None \| ford \| reassignment to 11th circuit row 16 : 45 \| phyllis a. krav \| ga \| 1920- \| 1979-1981 \| None \| None \| carter \| reassignment to 11th circuit row 17 : 49 \| joseph woodrow hatchett \| fl \| 1932- \| 1979-1981 \| None \| None \| carter \| reassignment to 11th circuit row 18 : 52 \| henry anthony politz \| la \| 1932-2002 \| 1979-1999 \| 1992-1999 \| 1999-2002 \| carter \| death row 19 : 56 \| thomas alonzo clark \| ga \| 1920-2005 \| 1979-1981 \| None \| None \| carter \| reassignment to 11th circuit ] Execute this SQL based on the above table: select state where state != 'tx' and judge = 'walter pettus gewin'	al
[ header: \| name on the register \| date listed \| location \| municipality row 1 : 1 \| catholic belltower \| november 25, 1980 (#80004399 \| catholic mission in kolonia 6°58 \| nett row 2 : 2 \| chief agriculturist house \| september 30, 1976 (#76002200) \| kolonia 6°57′31′′n \| nett row 3 : 3 \| german cemetery \| september 30, 1976 (#76002201) \| kolonia 6°57′07′′n \| nett row 4 : 4 \| japanese hydro-electric power plant \| september 30, 1976 (#76002204) \| kolonia 6°57′33′′n \| nett row 5 : 5 \| japanese shrine \| september 30, 1976 (#76002205) \| kolonia 6°57′50′′n \| nett row 6 : 6 \| japanese elementary school for pon \| september 30, 1976 (#76002203) \| kolonia 6°58′01′′n \| nett row 7 : 7 \| sokehs mass grave site \| september 30, 1976 (#76002206) \| kolonia 6°58′10′′n \| nett row 8 : 8 \| spanish wall \| december 19, 1974 (#7400222 \| litkin kel 6°58′05′′ \| nett row 9 : 9 \| japanese artillery road and \| september 30, 1976 (#76002202) \| sokehs 6°58′03′′ \| sokehs row 10 : 10 \| nan madol \| december 19, 1974 (#7400222 \| east side of temwen island 6° \| madolenihmw ] Execute this SQL based on the above table: select ( select where name on the register = 'japanese elementary school for ponapean children' ) - ( select where name on the register = 'sokehs mass grave site' )	-1.0
[ header: \| name \| date \| location \| county \| description row 1 : 1 \| diamond head \| None \| honolulu \| oahu \| state monument row 2 : 2 \| i'ao valley \| None \| wailuku \| maui \| state monument row 3 : 3 \| kanaha pond \| june 1971 \| kahului \| maui \| bird sanctuary row 4 : 4 \| koʻolau range pali \| None \| None \| oahu \| None row 5 : 5 \| makalawena marsh \| june 1972 \| north kona \| hawaiʻi \| bird sanctuary row 6 : 6 \| mauna kea \| november 1972 \| saddle road \| hawaiʻi \| u.s. state high point row 7 : 7 \| north shore cliffs \| december 1972 \| molokaʻi \| maui \| None ] Execute this SQL based on the above table: select name where name in ( 'mauna kea' , 'koʻolau range pali' ) group by name order by count ( * ) desc limit 1	mauna kea
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 5 \| fernando alonso \| renault \| 56 \| 1:31:33.736 \| 1 \| 10 row 2 : 2 \| 16 \| jarno trulli \| toyota \| 56 \| 24.327 \| 2 \| 8 row 3 : 3 \| 8 \| nick heidfeld \| williams-bmw \| 56 \| 32.188 \| 10 \| 6 row 4 : 4 \| 10 \| juan pablo montoya \| mclaren-mercedes \| 56 \| 41.631 \| 11 \| 5 row 5 : 5 \| 17 \| ralf schumacher \| toyota \| 56 \| 51.854 \| 5 \| 4 row 6 : 6 \| 14 \| david coulthard \| red bull-cosworth \| 56 \| +1:12.543 \| 8 \| 3 row 7 : 7 \| 1 \| michael schumacher \| ferrari \| 56 \| +1:19.988 \| 13 \| 2 row 8 : 8 \| 15 \| christian klien \| red bull-cosworth \| 56 \| +1:20.835 \| 7 \| 1 row 9 : 9 \| 9 \| kimi raikkonen \| mclaren-mercedes \| 56 \| +1:21.580 \| 6 \| None row 10 : 10 \| 12 \| felipe massa \| sauber-petronas \| 55 \| +1 lap \| 14 \| None row 11 : 11 \| 19 \| narain karthikeyan \| jordan-toyota \| 54 \| +2 laps \| 17 \| None row 12 : 12 \| 18 \| tiago monteiro \| jordan-toyota \| 53 \| +3 laps \| 18 \| None row 13 : 13 \| 21 \| christijan albers \| minardi-cosworth \| 52 \| +4 laps \| 19 \| None row 14 : ret \| 2 \| rubens barrichello \| ferrari \| 49 \| handling \| 12 \| None row 15 : ret \| 6 \| giancarlo fisichella \| renault \| 36 \| collision \| 3 \| None row 16 : ret \| 7 \| mark webber \| williams-bmw \| 36 \| collision \| 4 \| None row 17 : ret \| 11 \| jacques villeneuve \| sauber-petronas \| 26 \| spun off \| 16 \| None row 18 : ret \| 3 \| jenson button \| bar-honda \| 2 \| engine \| 9 \| None row 19 : ret \| 4 \| anthony davidson \| bar-honda \| 2 \| engine \| 15 \| None row 20 : ret \| 20 \| patrick friesacher \| minardi-cosworth \| 2 \| spun off \| 20 \| None ] Execute this SQL based on the above table: select driver group by driver order by count ( constructor ) asc limit 1	anthony davidson
[ header: date \| time \| opponent# \| site \| tv \| result \| attendance row 1 : september 4 \| 7:00 pm \| pacific \| jones stadium • lubbock, \| None \| w 55-7 \| 29164 row 2 : september 11 \| 1:00 pm \| at #9 nebraska \| memorial stadium • lincoln, \| None \| l 27-50 \| 75771 row 3 : september 18 \| 12:00 pm \| at georgia \| sanford stadium • athens, \| None \| l 11-17 \| 74511 row 4 : september 25 \| 12:00 pm \| at baylor \| floyd casey stadium • waco, \| raycom \| l 26-28 \| 32690 row 5 : october 2 \| 11:00 am \| #14 texas a&m \| jones stadium • lubbock, \| abc \| l 6-31 \| 50748 row 6 : october 9 \| 1:00 pm \| north carolina state \| jones stadium • lubbock, \| None \| l 34-36 \| 26943 row 7 : october 16 \| 7:00 pm \| rice \| jones stadium • lubbock, \| None \| w 45-16 \| 27812 row 8 : october 30 \| 12:00 pm \| at texas \| texas memorial stadium • austin \| raycom \| w 31-22 \| 63132 row 9 : november 6 \| 12:00 pm \| tcu \| jones stadium • lubbock, \| raycom \| w 49-21 \| 31922 row 10 : november 13 \| 2:00 pm \| at smu \| ownby stadium • university park, tx \| None \| w 41-24 \| 15714 row 11 : november 20 \| 7:00 pm \| vs. houston \| alamodome • san a \| None \| w 58-7 \| 28652 row 12 : december 31 \| 1:30 pm \| vs. #19 oklahom \| sun bowl stadium • el paso, \| cbs \| l 10-41 \| 43848 ] Execute this SQL based on the above table: select avg ( attendance ) where time <= '7:00 pm'	41742.25
[ header: year built \| works number \| wheel arr. \| gauge \| original owner \| name \| current location \| notes row 1 : 1882 \| 283 \| 0-4-0st \| 1 ft 10 3⁄4 in (5 \| penrhyn quarry \| charles \| penrhyn castle railway museum \| None row 2 : 1883 \| 316 \| 0-4-0st \| 2 ft \| penrhyn quarry \| gwynedd \| bressingham steam museum \| penrhyn port class row 3 : 1883 \| 317 \| 0-4-0st \| 1 ft 11 1⁄2 in (5 \| penrhyn quarry \| lilian \| launceston steam railway \| penrhyn port class row 4 : 1889 \| 493 \| 0-4-0st \| 1 ft 11 3⁄4 in (6 \| dinorwic quarry \| elidir \| llanberis lake railway \| previously named "red damsel" row 5 : 1890 \| 518 \| 2-2-0t \| (1000mm) \| s.v.t. 8 \| tortosa-la cava1 \| tortosa (catalonia, spa \| None row 6 : 1891 \| 554 \| 0-4-0st \| 1 ft 11 1⁄2 in (5 \| cilgwyn quarry, then penr \| lilla \| ffestiniog railway \| None row 7 : 1894 \| 606 \| 0-4-0st \| 2 ft \| penrhyn quarry \| alan george \| teifi valley railway \| None row 8 : 1896 \| 652 \| 0-4-0st \| 1 ft 11 1⁄2 in (5 \| groby granite, then dinorwic \| lady madcap \| welsh highland heritage railway \| originally named sextus row 9 : 1898 \| 680 \| 0-4-0st \| 2 ft (610 mm) \| dinorwic quarry \| george b \| bala lake railway \| None row 10 : 1898 \| 684 \| 0-4-0wt \| 18 in (457 mm) \| john knowles co \| jack \| armley mills industrial museum, leed \| None row 11 : 1899 \| 705 \| 0-4-0st \| 2 ft (610 mm) \| penrhyn quarry \| elin \| yaxham light railway \| previously at the lincolnshire coast row 12 : 1901 \| 763 \| 0-4-0st \| 1 ft 11 1⁄2 in (5 \| dorothea quarry \| dorothea \| launceston steam railway \| None row 13 : 1903 \| 823 \| 0-4-0st \| 2 ft \| dinorwic quarry \| irish mail \| west lancashire light railway \| None row 14 : 1909 \| 994 \| 0-4-0st \| 2 ft \| penrhyn quarry \| bill harvey \| bressingham steam museum \| previously george sholto row 15 : 1918 \| 1312 \| 4-6-0t \| 1 ft 11 1⁄2 in (5 \| british war department efo \| None \| pampas safari, gravatai \| [citation needed] row 16 : 1920 \| 1404 \| 0-4-0wt \| 18 in (457 mm) \| john knowles co \| gwen \| richard farmer current owner, northridge, \| None row 17 : 1922 \| 1429 \| 0-4-0st \| 2 ft (610 mm) \| dinorwic \| lady joan \| bredgar and wormshill light \| None row 18 : 1922 \| 1430 \| 0-4-0st \| 1 ft 11 3⁄4 in (6 \| dinorwic quarry \| dolbadarn \| llanberis lake railway \| None ] Execute this SQL based on the above table: select year built where year built in ( 1883 , 1883 ) order by works number desc limit 1	1883
[ header: # \| title \| producer(s) \| featured guest(s) \| length row 1 : 1 \| "intro" \| swizzo (of drum squad) \| None \| 1:41 row 2 : 2 \| "interlude" \| crown kingz productions (ckp) \| None \| 2:22 row 3 : 3 \| "dem boyz" \| nitti \| p. diddy \| 4:16 row 4 : 4 \| "felonies" \| jazze pha \| None \| 5:49 row 5 : 5 \| "look" \| drumma boy \| None \| 4:56 row 6 : 6 \| "gangstas" \| erick sermon \| eazy-e \| 3:49 row 7 : 7 \| "don't put your hands on me" \| dj toomp \| None \| 4:33 row 8 : 8 \| "bitches & bizness" \| nitti \| rick ross (uncredited) \| 4:21 row 9 : 9 \| "trap niggas" \| drumma boy \| None \| 3:37 row 10 : 10 \| "still slizzard" \| nitti \| None \| 5:07 row 11 : 11 \| "no talkin" \| sanchez \| None \| 5:25 row 12 : 12 \| "happy jamz" \| jazze pha \| jazze pha \| 4:48 row 13 : 13 \| "if u a thug \| keith mack \| None \| 5:09 row 14 : 14 \| "lay it down" \| jasper \| None \| 4:17 row 15 : 15 \| "pussy m.f.' \| horace "bubba" mitchell \| trick daddy \| 4:24 row 16 : 16 \| "keep it hood 2nite" \| midnight black \| None \| 3:23 ] Execute this SQL based on the above table: select producer(s) order by # desc limit 1	midnight black
[ header: # \| club \| winner \| last win \| runner-up \| last losing final row 1 : 1 \| esteghlal (taj) \| 6 \| 2012 \| 3 \| 2004 row 2 : 2 \| persepolis \| 5 \| 2011 \| 2 \| 2013 row 3 : 3 \| sepahan \| 4 \| 2013 \| 0 \| None row 4 : 4 \| malavan \| 3 \| 1990 \| 4 \| 2011 row 5 : 5 \| zob ahan \| 2 \| 2009 \| 1 \| 2001 row 6 : 6 \| bahman \| 1 \| 1995 \| 2 \| 2000 row 7 : 6 \| fajr sepasi \| 1 \| 2001 \| 2 \| 2003 row 8 : 6 \| tractor sazi \| 1 \| 2014 \| 2 \| 1995 row 9 : 8 \| bargh shiraz \| 1 \| 1997 \| 1 \| 1996 row 10 : 8 \| saba qom (saba \| 1 \| 2005 \| 1 \| 2007 row 11 : 10 \| saipa \| 1 \| 1994 \| 0 \| None row 12 : 10 \| shahin ahvaz \| 1 \| 1988 \| 0 \| None row 13 : 13 \| homa \| 0 \| None \| 1 \| 1977 row 14 : 13 \| kheibar khorramabad \| 0 \| None \| 1 \| 1986 row 15 : 13 \| jonoob ahvaz \| 0 \| None \| 1 \| 1994 row 16 : 13 \| aboomoslem \| 0 \| None \| 1 \| 2005 row 17 : 13 \| damash (pegah) \| 0 \| None \| 1 \| 2008 row 18 : 13 \| rah ahan \| 0 \| None \| 1 \| 2009 row 19 : 13 \| gostaresh foolad \| 0 \| None \| 1 \| 2010 row 20 : 13 \| shahin bushehr \| 0 \| None \| 1 \| 2012 row 21 : 13 \| mes kerman \| 0 \| None \| 1 \| 2014 ] Execute this SQL based on the above table: select abs ( ( select last losing final where club = 'bargh shiraz' ) - ( select last losing final where club = 'homa' ) )	19
[ header: year \| title \| role \| notes row 1 : 1991 \| they came from outer space \| mrs. morley \| episode: "hair today, gone tomorrow" row 2 : 1991 \| parker lewis can't lose \| melinda \| episode: "love handles" row 3 : 1991 \| married... with children \| jill \| episode: "if al had a ham row 4 : 1992 \| married... with children \| kara \| episode: "the mystery of skull island" row 5 : 1992 \| matlock \| lisa loomis \| episode: "the big payoff" row 6 : 1992 \| silk stalkings \| tessa shaver \| episode: "goodtime charlie" row 7 : 1992 \| dark justice \| lucy \| episode: "a better mousetrap" row 8 : 1992 \| baywatch \| lifeguard \| episode: "war of nerves" row 9 : 1993 \| the cover girl murders \| hetty barnett \| movie row 10 : 1994 \| red shoe diaries \| luscious lola \| episode: "luscious lola" row 11 : 1994 \| honor thy father and mother: the true \| jamie pisarcik \| movie row 12 : 1994 \| fortune hunter \| kelly owen \| episode: "stowaway" row 13 : 1994 \| baywatch \| kim \| episode: "red wind" row 14 : 1995 \| pointman \| brenner \| episode: "models" row 15 : 1995 \| the watcher \| lori danforth \| 8 episodes row 16 : 1995-96 \| murder one \| julie costello \| 15 episodes row 17 : 1996 \| the x-files \| dr. bambi berenbaum \| episode: "war of the coprophages row 18 : 1996 \| boy meets world \| louanne \| episode: "i never sang for my legal guard row 19 : 1996-97 \| the cape \| navy pilot lt. cmdr. \| 17 episodes row 20 : 1997 \| stargate sg-1 \| kynthia \| episode: "brief candle" row 21 : 1998 \| house rules \| dr. chris cavan \| episode: "riley's new job" row 22 : 1998 \| chameleon \| kam \| movie row 23 : 1998 \| two guys and a girl \| shawn \| episode: "two guys, a girl and row 24 : 1999 \| two guys and a girl \| shawn \| episode: "two guys, a girl and row 25 : 1999 \| chameleon ii: death match \| kam \| movie row 26 : 1999 \| the magnificent seven \| None \| episode: "wagon train: part 1" row 27 : 1999 \| the crow: stairway to heaven \| hannah foster / talon \| episode: "birds of a feather" row 28 : 1999 \| the strip \| lilly briscoe \| episode: "winner takes it all" row 29 : 2000 \| two guys and a girl \| shawn \| episode: "another moving script" row 30 : 2000 \| hustle \| maya / corinna \| m<vie row 31 : 2000 \| chameleon 3: dark angel \| kam \| movie row 32 : 2001 \| seven days \| raven \| episode: "raven" row 33 : 2001 \| dharma & greg \| anna \| episode: "dream a little dream of her ] Execute this SQL based on the above table: select count ( notes ) where notes = 'movie'	5
[ header: rank \| title \| studio \| director \| actors \| gross row 1 : 1 \| the sound of music \| 20th century fox \| robert wise \| julie andrews, christ \| $163,214,286 row 2 : 2 \| doctor zhivago \| metro-goldwyn-mayer \| david lean \| omar sharif, ju \| $111,721,910 row 3 : 4 \| those magnificent men in their flying machines \| 20th century fox \| ken annakin \| stuart whitman, sara \| $31,111,111 row 4 : 8 \| what's new pussycat? \| united artists \| clive donner \| peter sellers, peter o'tool \| $18,820,000 row 5 : 9 \| shenandoah \| universal pictures \| andrew v. mclagle \| james stewart, doug \| $17,268,889 row 6 : 10 \| von ryan's express \| 20th century fox \| mark robson \| frank sinatra, trevor \| $17,111,111 row 7 : 12 \| for a few dollars more \| united artists \| sergio leone \| clint eastwood, lee van \| $15,000,000 row 8 : 13 \| the sandpiper \| metro-goldwyn-mayer \| vincente minnelli \| elizabeth tay \| $13,691,111 row 9 : 16 \| help! \| united artists \| richard lester \| john lennon, paul \| $12,066,667 row 10 : 19 \| the agony and the ecsta \| 20th century fox \| carol reed \| charlton heston, rex \| $8,000,000 ] Execute this SQL based on the above table: select title where title = 'for a few dollars more' order by id asc limit 1045	for a few dollars more
[ header: date \| time \| opponent# \| rank# \| site \| tv \| result \| attendance row 1 : september 3 \| 6:00 pm \| missouri state \| #15 \| donald w. reyn \| ppv \| w 51-7 \| 70607 row 2 : september 10 \| 6:00 pm \| new mexico \| #14 \| war memorial stadium • little rock, ar \| espnu \| w 52-3 \| 52606 row 3 : september 17 \| 6:30 pm \| troy \| #14 \| donald w. reyn \| css \| w 38-28 \| 69861 row 4 : september 24 \| 2:30 pm \| at #3 alabama \| #14 \| bryant-denny stadium • \| cbs \| l 14-38 \| 101821 row 5 : october 1 \| 11:00 am \| vs. #14 texas \| #18 \| cowboys stadium • arlington, \| espn \| w 42-38 \| 69838 row 6 : october 8 \| 6:00 pm \| #15 auburn \| #10 \| donald w. reyn \| espn \| w 38-14 \| 74191 row 7 : october 22 \| 11:21 am \| at ole miss \| #10 \| vaught-hemingway stadium • \| secn \| w 29-24 \| 57951 row 8 : october 29 \| 11:21 am \| at vanderbilt \| #8 \| vanderbilt stadium • nashville \| secn \| w 31-28 \| 33247 row 9 : november 5 \| 6:15 pm \| #10 south carolina \| #8 \| donald w. reyn \| espn \| w 44-28 \| 73804 row 10 : november 12 \| 5:00 pm \| tennessee \| #8 \| donald w. reyn \| espn2 \| w 49-7 \| 72103 row 11 : november 19 \| 2:30 pm \| mississippi state \| #6 \| war memorial stadium • little rock, ar \| cbs \| w 44-17 \| 55761 row 12 : november 25 \| 1:30 pm \| at #1 lsu \| #3 \| tiger stadium • baton rouge, la \| cbs \| l 17-41 \| 93108 row 13 : january 6 \| 7:00 pm \| vs. #11 kansa \| #7 \| cowboys stadium • arlington, \| fox \| w 29-16 \| 80956 ] Execute this SQL based on the above table: select ( select time where result = 'w 44-28' ) > 1773	0
[ header: year \| place \| gold \| silver \| bronze row 1 : 1962 \| cairo \| mercedes mata (ven) \| marjorie annan (usa) \| elena shebashova (urs row 2 : 1966 \| wiesbaden \| claudia smirnova (urs \| mercedes garcia (ven) \| michele valery (fra) row 3 : 1967 \| bologna \| larisa gurvich (urs \| claudia smirnova (urs \| mirella lenzini (ita) row 4 : 1970 \| phoenix \| larissa korchinskaya (urs \| nuria ortiz (mex \| kari linden (nor) row 5 : 1971 \| bologna \| nuria ortiz (mex \| larissa korchinskaya (urs \| kari linden (nor) row 6 : 1974 \| bern \| larissa korchinskaya (urs \| saskia brixner ( \| evior melander (swe) row 7 : 1975 \| munich \| larisa gurvich (urs \| pinky le grelle (bel) \| ruth jordan (frg row 8 : 1977 \| antibes \| ruth jordan (frg \| ila hill (usa) \| bianca rosa hansberg row 9 : 1979 \| montecatini terme \| bianca rosa hansberg \| larisa gurvich (urs \| svetlana yakimova row 10 : 1981 \| tucuman \| lanying wu (chn) \| ila hill (usa) \| bianca rosa hansberg row 11 : 1982 \| caracas \| svetlana yakimova \| meimei feng (chn) \| weiping shao (chn) row 12 : 1986 \| suhl \| svetlana demina ( \| michaela rink (frg \| connie schiller (usa) row 13 : 1987 \| valencia \| meimei feng (chn) \| bonnie mc laurin (us \| nuria ortiz (mex row 14 : 1989 \| montecatini terme \| shan zhang (chn) \| antonella parrini (it \| erzsebet vasvari row 15 : 1991 \| perth \| jong ran pak (prk \| svetlana demina ( \| erzsebet vasvari row 16 : 1994 \| fagnano \| erdzhanik avetisyan \| diana igaly (hun) \| daniela bolis (ita row 17 : 1999 \| tampere \| erdzhanik avetisyan \| cristina vitali (ita) \| svetlana demina ( row 18 : 2001 \| cairo \| zemfira meftakhe \| olga panarina ( \| cristina vitali (ita) row 19 : 2002 \| lahti \| diana igaly (hun) \| andrea stranovska (svk \| elena little (gbr) row 20 : 2003 \| nicosia \| ning wei (chn) \| katiuscia spada (it \| diana igaly (hun) ] Execute this SQL based on the above table: select place where bronze > ( select bronze where place = 'fagnano' ) order by bronze limit 1	nicosia
[ header: name \| red vs. blue \| couples team \| status \| weight \| total votes row 1 : valerica marin 47, bucha \| none \| None \| eliminated week 1 \| 142 kg \| 0 row 2 : tatiana musat 25, buch \| none \| None \| eliminated week 1 \| 150 kg \| 0 row 3 : gige state 47, bucharest \| none \| None \| eliminated week 1 \| 200 kg \| 0 row 4 : alex ionescu returned week 5 \| none \| None \| eliminated week 1 \| 196 kg \| 0 row 5 : catalin chiriac 23, \| blue team \| None \| 1st voted out week 1 \| 146, 4 kg \| 6 row 6 : dana mocanu 34, plo \| red team \| None \| 2nd voted out week 2 \| 111, 5 kg \| 6 row 7 : daniela gheorghe \| red team \| None \| 3rd voted out week 3 \| 112, 8 kg \| 5 row 8 : alexandra patrascu 37, \| red team \| None \| eliminated week 4 \| 118, 4 kg \| 0 row 9 : mihai florescu 35, bucha \| red team \| None \| 4th voted out week 4 \| 175, 8 kg \| 0 row 10 : alexandru briscu 26, \| blue team \| gray team \| 5th voted out week 5 \| 158, 1 kg \| 0 row 11 : daniel sulugiu \| blue team \| yellow team \| 5th voted out week 6 \| 158, 1 kg \| 0 row 12 : irina gur 39, \| blue team \| lightgreen team \| 6th voted out week7 \| 129,4 kg \| 1 row 13 : dragos holeac 30, bucha \| blue team \| lightgreen team \| 6th voted out week7 \| 129,4 kg \| 1 ] Execute this SQL based on the above table: select ( select count ( couples team ) where total votes = 6 ) - ( select count ( couples team ) where total votes = 0 )	-2
[ header: name \| profession \| hometown \| term expires \| office row 1 : bill w. burgess \| attorney \| lawton \| 2011 \| None row 2 : ronald h. white, \| medical doctor \| oklahoma city \| 2012 \| None row 3 : william stuart price \| businessman \| tulsa \| 2013 \| None row 4 : joseph l. parker \| businessman \| tulsa \| 2014 \| chair row 5 : julie carson \| attorney \| claremore \| 2015 \| vice chair row 6 : marlin "ike" glass \| businessman \| newkirk \| 2016 \| secretary row 7 : james d. "jimmy \| banker \| leedy \| 2017 \| assistant secretary row 8 : mike turpen \| attorney \| oklahoma city \| 2018 \| None row 9 : john massey \| banker \| durant \| 2019 \| None ] Execute this SQL based on the above table: select count ( profession ) where hometown in ( 'durant' , 'tulsa' )	3
[ header: event \| record \| athlete(s) \| date \| time (s) row 1 : bobsleigh - two-man \| start \| beat hefti & thomas \| 6 february 2009 \| 4.7 row 2 : bobsleigh - two-man \| track \| thomas florschutz & \| 20 february 2010 21 february 2010 \| 51.57 row 3 : bobsleigh - four-man \| start \| andre lange, kevin kuske \| 26 february 2010 \| 4.7 row 4 : bobsleigh - four-man \| track \| steve holcomb, justin \| 26 february 2010 \| 50.86 row 5 : bobsleigh - two-woman \| start \| kaillie humphries \| 23 february 2010 24 february 2010 \| 5.11 row 6 : bobsleigh - two-woman \| track \| kaillie humphries \| 24 february 2010 \| 52.85 row 7 : men's skeleton \| start \| alexander tretiakov (rus \| 18 february 2010 \| 4.48 row 8 : men's skeleton \| track \| jon montgomery (can) \| 19 february 2010 \| 52.2 row 9 : women's skeleton \| start \| anja huber (ger) \| 18 february 2010 \| 4.9 row 10 : women's skeleton \| track \| amy williams (gbr \| 19 february 2010 \| 53.68 row 11 : luge - men's singles \| start \| andi langenhan (ger) \| 21 february 2009 \| 3.541 row 12 : luge - men's singles \| track \| felix loch (ger) \| 21 february 2009 \| 46.808 row 13 : luge - women's singles \| start \| natalie geisenberger (ger \| 20 february 2009 \| 7.183 row 14 : luge - women's singles \| track \| natalie geisenberger (ger \| 20 february 2009 \| 48.992 row 15 : luge - men's doubles \| start \| tobias wendl & tobia \| 20 february 2009 \| 7.054 row 16 : luge - men's doubles \| track \| patric leitner & alexander \| 20 february 2009 \| 48.608 ] Execute this SQL based on the above table: select ( select count ( event ) where athlete(s) = 'thomas florschutz & richard adjei (ger) andre lange & kevin kuske (ger)' ) - ( select count ( event ) where athlete(s) = 'andre lange, kevin kuske, alexander rodiger, & martin putze (ger)' )	-1
[ header: event \| bowling center \| city \| dates \| winner row 1 : eastern open \| edison lanes \| edison, new jersey \| dec 2-6 \| dennis chapis (2) row 2 : charlotte open \| freedom lanes \| charlotte, north carolina \| dec 9-13 \| gene rhoda (3) row 3 : western open \| saratoga lanes \| san jose, californ \| jan 4-8 \| jim godman (1) row 4 : denver open \| broadway bowl \| denver, colorado \| jan 11-15 \| dick weber (16) row 5 : hialeah-miami open \| hialeah lanes \| hialeah, florida \| feb 1-5 \| les schissler (3) row 6 : mobile-sertoma open \| florida lanes \| mobile, alabama \| feb 8-12 \| mike limongello (2) row 7 : fresno open \| sunnyside bowl \| fresno, californ \| feb 15-19 \| dick weber (17) row 8 : las vegas open \| showboat lanes \| las vegas, nevada \| feb 22-26 \| skee foremsky (1) row 9 : miller high life open \| bowlero lanes \| milwaukee, wisconsin \| mar 1-5 \| bill lillard (1) row 10 : buckeye open \| imperial lanes \| toledo, ohio \| mar 15-19 \| pete tountas (2) row 11 : greater buffalo open \| fairlanes \| depew, new york \| mar 22-26 \| bobby jacks (1) row 12 : firestone tournament of champions \| riviera lanes \| akron, ohio \| mar 29 - apr 2 \| wayne zahn (4) row 13 : seattle open \| ballinger bowl \| seattle, washington \| jun 9-12 \| wayne zahn (5) row 14 : portland open \| valley lanes \| portland, oregon \| jun 16-19 \| don johnson (2) row 15 : fresno open \| cedar lanes \| fresno, californ \| jun 22-26 \| les schissler (4) row 16 : tucson squirt \| cactus bowl \| tucson, arizona \| jul 1-4 \| johnny guenther (2) row 17 : southern california open \| encino bowl \| encino, california \| jul 7-10 \| barry asher (1) row 18 : fort worth open \| meadowbrook lanes \| fort worth, texas \| jul 14-17 \| dick ritger (1) row 19 : reading open \| hiester lanes \| reading, pennsylvania \| jul 28-31 \| dick ritger (2) row 20 : u.s. coast guard open \| starlite lanes \| grand haven, michigan \| aug 2-5 \| george howard (4) row 21 : waukegan open \| bertrand bowl \| waukegan, illinois \| aug 18-21 \| bobby jacks (3) row 22 : fort smith open \| midland bowl \| fort smith, arkansas \| aug 25-28 \| johnny petraglia (1) row 23 : crescent city open \| mardi gras bowl \| new orleans, louisiana \| sep 8-12 \| barry asher (2) row 24 : seventh annual pba national championship \| garden city bowl \| garden city, new york \| nov 1-6 \| wayne zahn (6) row 25 : camden pba open \| camden lanes \| camden, new jersey \| nov 9-12 \| ralph engan (1) ] Execute this SQL based on the above table: select bowling center where id = ( select id where bowling center = 'sunnyside bowl' ) - 1	florida lanes
[ header: rank \| mountain \| height (m) \| height (ft) \| range \| coordinates \| prominence (m) \| parent mountain \| first ascent \| ascents (failed attempts) bef.2004 row 1 : 5 \| makalu \| 8485 \| 27838 \| mahalangur himalaya \| 27°53′23′′n 87° \| 2386 \| mount everest \| 1955 \| 45 (52) row 2 : 20 \| ngadi chuli \| 7871 \| 25823 \| manaslu himalaya \| 28°30′12′′n 84° \| 1020 \| manaslu \| 1970 \| 2 (6) row 3 : 21 \| khunyang chhish \| 7823 \| 25666 \| hispar karakoram \| 36°12′19′′n 75°12 \| 1765 \| distaghil sar \| 1971 \| 2 (6) row 4 : 41 \| gongga shan/ miny \| 7556 \| 24790 \| daxue shan \| 29°35′43′′n 101°52 \| 3642 \| mount everest \| 1932 \| 6 (7) row 5 : 43 \| muztagh ata \| 7546 \| 24757 \| muztagata kunlun \| 38°16′33′′n 75°06 \| 2735 \| kongur tagh \| 1956 \| many row 6 : 53 \| pumari chhish \| 7492 \| 24580 \| hispar karakoram \| 36°12′41′′n 75°15 \| 890 \| khunyang chhish \| 1979 \| 1 (2) row 7 : 62 \| yangra/ ganesh \| 7422 \| 24350 \| ganesh himalaya \| 28°23′29′′n 85°07 \| 2352 \| manaslu \| 1955 \| 1 (6) row 8 : 69 \| ghent kangri \| 7401 \| 24281 \| saltoro karakoram \| 35°31′04′′n 76° \| 1493 \| saltoro kangri \| 1961 \| 4 (0) row 9 : 80 \| chamlang \| 7321 \| 24019 \| mahalangur himalaya \| 27°46′30′′n 86° \| 1240 \| lhotse \| 1961 \| 7 (1) row 10 : 87 \| baintha brakk/ the ogre \| 7285 \| 23901 \| panmah karakoram \| 35°56′51′′n 75°45 \| 1891 \| kanjut sar \| 1977 \| 3 (13) row 11 : 97 \| mukut parbat \| 7242 \| 23760 \| garhwal himalaya \| 30°56′57′′n 79° \| 840 \| kamet \| 1951 \| 2 (1) ] Execute this SQL based on the above table: select height (ft) where range = 'panmah karakoram'	23901.0
[ header: name \| red vs. blue \| couples team \| status \| weight \| total votes row 1 : valerica marin 47, bucha \| none \| None \| eliminated week 1 \| 142 kg \| 0 row 2 : tatiana musat 25, buch \| none \| None \| eliminated week 1 \| 150 kg \| 0 row 3 : gige state 47, bucharest \| none \| None \| eliminated week 1 \| 200 kg \| 0 row 4 : alex ionescu returned week 5 \| none \| None \| eliminated week 1 \| 196 kg \| 0 row 5 : catalin chiriac 23, \| blue team \| None \| 1st voted out week 1 \| 146, 4 kg \| 6 row 6 : dana mocanu 34, plo \| red team \| None \| 2nd voted out week 2 \| 111, 5 kg \| 6 row 7 : daniela gheorghe \| red team \| None \| 3rd voted out week 3 \| 112, 8 kg \| 5 row 8 : alexandra patrascu 37, \| red team \| None \| eliminated week 4 \| 118, 4 kg \| 0 row 9 : mihai florescu 35, bucha \| red team \| None \| 4th voted out week 4 \| 175, 8 kg \| 0 row 10 : alexandru briscu 26, \| blue team \| gray team \| 5th voted out week 5 \| 158, 1 kg \| 0 row 11 : daniel sulugiu \| blue team \| yellow team \| 5th voted out week 6 \| 158, 1 kg \| 0 row 12 : irina gur 39, \| blue team \| lightgreen team \| 6th voted out week7 \| 129,4 kg \| 1 row 13 : dragos holeac 30, bucha \| blue team \| lightgreen team \| 6th voted out week7 \| 129,4 kg \| 1 ] Execute this SQL based on the above table: select max ( weight )	200.0
[ header: rank \| city \| county \| state \| percentage row 1 : 1 \| palisades park \| bergen county \| new jersey \| 36.38% (52% in 2010) row 2 : 2 \| cerritos \| los angeles county \| california \| 17.69% row 3 : 3 \| la palma \| orange county \| california \| 17.43% row 4 : 4 \| leonia \| bergen county \| new jersey \| 17.24% row 5 : 5 \| fort lee \| bergen county \| new jersey \| 17.18% row 6 : 6 \| ridgefield \| bergen county \| new jersey \| 14.31% row 7 : 7 \| closter \| bergen county \| new jersey \| 12.75% row 8 : 8 \| norwood \| bergen county \| new jersey \| 12.69% row 9 : 9 \| edgewater \| bergen county \| new jersey \| 11.83% row 10 : 10 \| englewood cliffs \| bergen county \| new jersey \| 11.76% ] Execute this SQL based on the above table: select ( select sum ( rank ) where percentage = '17.18%' ) > ( select sum ( rank ) where percentage = '11.83%' )	0
[ header: position \| club \| played \| points \| wins \| draws \| losses \| goals for \| goals against \| goal difference row 1 : 1 \| ue lleida \| 38 \| 57+19 \| 23 \| 11 \| 4 \| 56 \| 20 \| 36 row 2 : 2 \| real valladolid \| 38 \| 52+14 \| 20 \| 12 \| 6 \| 50 \| 30 \| 20 row 3 : 3 \| racing de santander \| 38 \| 52+14 \| 23 \| 6 \| 9 \| 56 \| 38 \| 18 row 4 : 4 \| rcd mallorca \| 38 \| 50+12 \| 21 \| 8 \| 9 \| 57 \| 34 \| 23 row 5 : 5 \| real betis \| 38 \| 43+5 \| 16 \| 11 \| 11 \| 49 \| 33 \| 16 row 6 : 6 \| real madrid b \| 38 \| 42+4 \| 15 \| 12 \| 11 \| 57 \| 41 \| 16 row 7 : 7 \| atletico marbella \| 38 \| 42+4 \| 17 \| 8 \| 13 \| 45 \| 41 \| 4 row 8 : 8 \| barcelona b \| 38 \| 39+1 \| 15 \| 9 \| 14 \| 59 \| 55 \| 4 row 9 : 9 \| cp merida \| 38 \| 39+1 \| 13 \| 13 \| 12 \| 43 \| 42 \| 1 row 10 : 10 \| cd castellon \| 38 \| 36-2 \| 13 \| 10 \| 15 \| 40 \| 45 \| -5 row 11 : 11 \| cd badajoz \| 38 \| 36-2 \| 14 \| 8 \| 16 \| 37 \| 36 \| 1 row 12 : 12 \| sd compostela \| 38 \| 35-3 \| 10 \| 15 \| 13 \| 35 \| 39 \| -4 row 13 : 13 \| villarreal cf \| 38 \| 34-4 \| 13 \| 8 \| 17 \| 38 \| 51 \| -14 row 14 : 14 \| palamos cf \| 38 \| 33-5 \| 12 \| 9 \| 17 \| 33 \| 50 \| -17 row 15 : 15 \| athletic de bilbao b \| 38 \| 33-5 \| 9 \| 15 \| 14 \| 33 \| 34 \| -1 row 16 : 16 \| sd eibar \| 38 \| 32-6 \| 10 \| 12 \| 16 \| 33 \| 44 \| -11 row 17 : 17 \| ue figueres \| 38 \| 32-6 \| 11 \| 10 \| 17 \| 41 \| 59 \| -18 row 18 : 18 \| cd lugo \| 38 \| 25-13 \| 7 \| 11 \| 20 \| 23 \| 41 \| -18 row 19 : 19 \| sestao \| 38 \| 24-14 \| 7 \| 10 \| 21 \| 29 \| 54 \| -25 row 20 : 20 \| ce sabadell fc 1 \| 38 \| 24-14 \| 8 \| 8 \| 22 \| 30 \| 57 \| -27 ] Execute this SQL based on the above table: select points order by draws asc limit 1	52+14
[ header: \| name on the register \| date listed \| location \| city or town \| summary row 1 : 1 \| arnold trail to quebec \| october 1, 1969 (#69 \| along the kennebec river, through \| coburn gore \| extends through franklin, kenn row 2 : 2 \| barn on lot 8, range g \| august 24, 2011 (#11000581) \| 816 foster hill rd. 44° \| freeman township \| None row 3 : 3 \| bass boarding house \| april 7, 1988 (#88000 \| canal st. 44°35′12 \| wilton \| None row 4 : 5 \| john g. coburn \| april 11, 2002 (#02000 \| 360 river rd. 44°37′ \| carthage \| perhaps the "john g. coburn house row 5 : 9 \| first congregational church, united church of christ \| july 25, 1974 (#74000149 \| main st. 44°40′04 \| farmington \| None row 6 : 13 \| greenacre \| october 29, 1982 (#82 \| 17 court st. 44°40′ \| farmington \| None row 7 : 15 \| holmes-crafts homestead \| april 26, 1973 (#73000 \| old n. jay rd. \| north jay \| None row 8 : 17 \| jay-niles memorial library \| march 13, 1987 (#87000414) \| state route 4 44°32′53′′n \| north jay \| None row 9 : 18 \| little red schoolhouse \| february 23, 1972 (#72000070 \| south of west farmington on wilton r \| west farmington \| None row 10 : 21 \| mccleary farm \| april 7, 1989 (#89000 \| s. strong rd. 44° \| strong \| None row 11 : 22 \| merrill hall \| january 23, 1980 (#800002 \| maine and academy sts. 44 \| farmington \| None row 12 : 23 \| new sharon bridge \| september 24, 1999 (#99001189) \| south of u.s. route 2 over \| new sharon \| to be demolished ] Execute this SQL based on the above table: select city or town where id = 1	coburn gore
[ header: year \| fbs opponent \| result \| opponent's conference \| opponent's head coach \| charleston southern's head coach row 1 : 2015 \| alabama crimson tide \| None \| sec \| nick saban \| jamey chadwell row 2 : 2014 \| georgia bulldogs \| None \| sec \| mark richt \| jamey chadwell row 3 : 2014 \| vanderbilt commodores \| None \| sec \| derek mason \| jamey chadwell row 4 : 2013 \| colorado buffaloes \| l, 43-10 \| pac-12 \| mike macintyre \| jamey chadwell row 5 : 2012 \| illinois fighting illini \| l, 44-0 \| big ten \| tim beckman \| jay mills row 6 : 2011 \| ucf knights \| l, 62-0 \| c-usa \| george o'leary \| jay mills row 7 : 2011 \| florida state seminoles \| l, 62-10 \| acc \| jimbo fisher \| jay mills row 8 : 2010 \| kentucky wildcats \| l, 49-21 \| sec \| joker phillips \| jay mills row 9 : 2010 \| hawaii warriors \| l, 66-7 \| wac \| greg mcmackin \| jay mills row 10 : 2009 \| south florida bulls \| l, 59-0 \| big east \| jim leavitt \| jay mills row 11 : 2009 \| florida gators \| l, 62-3 \| sec \| urban meyer \| jay mills row 12 : 2008 \| miami redhawks \| l, 38-27 \| mac \| don treadwell \| jay mills row 13 : 2008 \| miami hurricanes \| l, 52-7 \| acc \| randy shannon \| jay mills row 14 : 2007 \| hawaii warriors \| l, 66-10 \| wac \| june jones \| jay mills row 15 : 2003 \| south florida bulls \| l, 55-7 \| big east \| jim leavitt \| jay mills row 16 : 2002 \| south florida bulls \| l, 56-6 \| big east \| jim leavitt \| david dowd ] Execute this SQL based on the above table: select result where year = 2008	l, 38-27, l, 52-7
[ header: no. \| player \| position \| career \| date no. retired row 1 : 1 \| eddie giacomin \| g \| 1965-76 \| march 15, 1989 row 2 : 2 \| brian leetch \| d \| 1987-2004 \| january 24, 2008 row 3 : 3 \| harry howell \| d \| 1952-69 \| february 22, 2009 row 4 : 7 \| rod gilbert \| rw \| 1960-78 \| october 14, 1979 row 5 : 9 \| andy bathgate \| c \| 1954-64 \| february 22, 2009 row 6 : 9 \| adam graves \| lw \| 1991-2001 \| february 3, 2009 row 7 : 11 \| mark messier \| c \| 1991-97, 2000-04 \| january 12, 2006 row 8 : 35 \| mike richter \| g \| 1990-2003 \| february 4, 2004 row 9 : 99 \| wayne gretzky \| c \| 1996-99 \| february 6, 2000 ] Execute this SQL based on the above table: select date no. retired where date no. retired = 'january 24, 2008' order by no. desc limit 1	january 24, 2008
[ header: round \| round \| circuit \| date \| pole position \| fastest lap \| winning rider row 1 : 1 \| r1 \| jerez \| 18 march \| raymond roche \| stephane mertens \| raymond roche row 2 : 1 \| r2 \| jerez \| 18 march \| raymond roche \| raymond roche \| raymond roche row 3 : 2 \| r1 \| donington \| 16 april \| giancarlo falappa \| rob phillis \| fred merkel row 4 : 2 \| r2 \| donington \| 16 april \| giancarlo falappa \| raymond roche \| giancarlo falappa row 5 : 3 \| r1 \| hungaroring \| 30 april \| malcolm campbell \| raymond roche \| fred merkel row 6 : 3 \| r2 \| hungaroring \| 30 april \| malcolm campbell \| fred merkel \| raymond roche row 7 : 4 \| r1 \| hockenheim \| 6 may \| raymond roche \| fred merkel \| fred merkel row 8 : 4 \| r2 \| hockenheim \| 6 may \| raymond roche \| raymond roche \| stephane mertens row 9 : 5 \| r1 \| mosport \| 3 june \| giancarlo falappa \| raymond roche \| raymond roche row 10 : 5 \| r2 \| mosport \| 3 june \| giancarlo falappa \| jamie james \| raymond roche row 11 : 6 \| r1 \| brainerd \| 10 june \| doug chandler \| doug chandler \| stephane mertens row 12 : 6 \| r2 \| brainerd \| 10 june \| doug chandler \| fabrizio pirovano \| doug chandler row 13 : 7 \| r1 \| osterreichring \| 1 july \| stephane mertens \| rob mcelnea \| fabrizio pirovano row 14 : 7 \| r2 \| osterreichring \| 1 july \| stephane mertens \| stephane mertens \| stephane mertens row 15 : 8 \| r1 \| sugo \| 26 august \| raymond roche \| raymond roche \| raymond roche row 16 : 8 \| r2 \| sugo \| 26 august \| raymond roche \| peter goddard \| doug chandler row 17 : 9 \| r1 \| le mans \| 9 september \| baldassarre monti \| raymond roche \| raymond roche row 18 : 9 \| r2 \| le mans \| 9 september \| baldassarre monti \| jamie james \| raymond roche row 19 : 10 \| r1 \| monza \| 7 october \| baldassarre monti \| rob phillis \| fabrizio pirovano row 20 : 10 \| r2 \| monza \| 7 october \| baldassarre monti \| rob phillis \| fabrizio pirovano row 21 : 11 \| r1 \| shah alam \| 4 november \| rob phillis \| fabrizio pirovano \| fabrizio pirovano row 22 : 11 \| r2 \| shah alam \| 4 november \| rob phillis \| raymond roche \| fabrizio pirovano row 23 : 12 \| r1 \| phillip island \| 11 november \| peter goddard \| fabrizio pirovano \| peter goddard ] Execute this SQL based on the above table: select count ( * ) where round < 12	22
[ header: year \| film title \| duration \| film type \| shoot location row 1 : 1972 \| kwadrat (square) \| 4:40 \| 35 mm short film \| pwsftvit ło row 2 : 1972 \| take five \| 3:36 \| 35 mm short film \| pwsftvit ło row 3 : 1973 \| plamuz (music art) \| 9:38 \| 35 mm short film \| smff se-ma- row 4 : 1974 \| zupa (soup) \| 8:22 \| 35 mm short film \| smff se-ma- row 5 : 1975 \| nowa ksiazka ( \| 10:26 \| 35 mm short film \| smff se-ma- row 6 : 1975 \| lokomotywa (loco \| 9:38 \| 35 mm short film \| smff se-ma- row 7 : 1975 \| swieto (holiday) \| 9:38 \| 35 mm short film \| smff se-ma- row 8 : 1976 \| oj! nie moge sie za \| 10:07 \| 35 mm short film \| smff se-ma- row 9 : 1976 \| weg zum nachbarn (way to your \| 2:30 \| 35 mm short film \| smff se-ma- row 10 : 1977 \| piatek - sobota (f \| 3:00 \| 35 mm short film \| smff se-ma- row 11 : 1979 \| mein fenster (my window) \| 2:26 \| 35 mm short film \| vienna row 12 : 1980 \| tango \| 8:14 \| 35 mm short film \| smff se-ma- row 13 : 1980 \| media \| 1:36 \| 35 mm short film \| smff se-ma- row 14 : 1980 \| sceny narciar \| 9:38 \| 35 mm documentary film \| in collaboration with b. dziw row 15 : 1981 \| wdech-wydech ( \| 2:26 \| 35 mm short film \| in collaboration with b. dziw ] Execute this SQL based on the above table: select year where id = 1	1972
[ header: # \| title \| time \| lead vocals \| notes row 1 : 1 \| savior more than life \| 6:44 \| keisha grandy \| None row 2 : 2 \| whatcha lookin' 4 \| 4:25 \| darrell blair, dal \| None row 3 : 3 \| melodies from heaven \| 4:34 \| the family \| None row 4 : 4 \| conquerors \| 8:24 \| dalon collins \| None row 5 : 5 \| don't take your joy away \| 6:33 \| tamela mann \| None row 6 : 6 \| when i think about jesus \| 1:38 \| None \| None row 7 : 7 \| mama's song \| 4:16 \| kirk franklin \| None row 8 : 8 \| jesus paid it all \| 5:04 \| kirk franklin, darrell \| None row 9 : 9 \| i love you jesus \| 7:25 \| teresa young, stephani \| None row 10 : 10 \| washed away \| 5:20 \| jeannette johnson, carrie \| None row 11 : 11 \| where the spirit is \| 4:03 \| jon drummond \| None row 12 : 12 \| let me touch you \| 5:26 \| dalon collins \| None row 13 : 13 \| anything 4 u \| 5:08 \| david mann, yoland \| None row 14 : 14 \| whatcha lookin' 4 (remix) \| 4:36 \| kirk franklin, d \| drum & synth programming - buster row 15 : 15 \| melodies from heaven (skate remix \| 4:18 \| kirk franklin \| drum & synth programming - buster ] Execute this SQL based on the above table: select title where title = 'melodies from heaven (skate remix)'	melodies from heaven (skate remix)
[ 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 notes where notes < 'the station became a transfer station when the sixth avenue line opened in 1940' order by notes desc limit 1	the station became a transfer station when the queens boulevard line opened in 1933. there is no free connection between trains in opposite directions. a free transfer only exists between the northbound (uptown) services and another exists between the southbound (downtown) services
[ header: squad # \| position \| player \| transferred to \| fee \| date row 1 : 20 \| df \| lau nim yat \| biu chun rangers \| free transfer \| 5 june 2012 row 2 : 16 \| mf \| leung chun pong \| guangdong sunray cave \| free transfer \| 12 june 2012 row 3 : 3 \| df \| yeo jee-hoon \| unattached (released) \| None \| 9 july 2012 row 4 : 8 \| mf \| xu deshuai \| sun pegasus \| free transfer (released) \| 9 july 2012 row 5 : 11 \| mf \| li haiqiang \| tuen mun \| free transfer (released) \| 9 july 2012 row 6 : 22 \| fw \| giovane alves da sil \| biu chun rangers \| free transfer (released) \| 9 july 2012 row 7 : 23 \| gk \| zhang chunhui \| sunray cave jc sun hei \| free transfer (released) \| 9 july 2012 row 8 : 26 \| mf \| chan pak hang \| sun pegasus \| free transfer (released) \| 9 july 2012 row 9 : 7 \| fw \| chan siu ki \| guangdong sunray cave \| free transfer (released) \| 10 july 2012 row 10 : None \| mf \| kot cho wai \| sunray cave jc sun hei \| undisclosed \| 16 july 2012 row 11 : 6 \| df \| wong chin hung \| biu chun rangers \| free transfer \| 9 january 2013 row 12 : 33 \| fw \| mauro rafael \| unattached (released) \| free transfer \| 1 february 2013 ] Execute this SQL based on the above table: select sum ( squad # ) where fee > ( select fee where player = 'mauro rafael da silva' )	97.0
[ header: # \| title \| songwriters \| producer(s) \| performer row 1 : 1 \| "shalom a leck" \| p. chapman, k-de \| k-def \| tragedy row 2 : 2 \| "hoodlum intro" \| None \| None \| interlude row 3 : 3 \| "underground" \| p. chapman, k-de \| k-def \| tragedy row 4 : 4 \| "funk mode" \| p. chapman, k-de \| k-def \| tragedy row 5 : 5 \| "grand groove" \| p. chapman, k-de \| k-def \| tragedy row 6 : 6 \| "at large" \| p. chapman, k-de \| k-def, marley marl \| tragedy row 7 : 7 \| "death row" \| p. chapman, k-de \| k-def, marley marl \| tragedy row 8 : 8 \| "speech [check the time]" \| None \| kool tee \| interlude row 9 : 9 \| "mad brothas know his name" \| p. chapman, k-de \| k-def, marley marl \| tragedy row 10 : 10 \| "pass the teck" \| p. chapman, k-de \| k-def \| tragedy, havoc row 11 : 11 \| "street life" \| p. chapman, epitome of \| epitome of scratch \| tragedy row 12 : 12 \| "pump the funk" \| p. chapman, m. will \| marley marl \| tragedy row 13 : 13 \| "role model" \| p. chapman, koo \| kool tee \| tragedy row 14 : 14 \| "the posse [shoot \| p. chapman, mr. \| mr. freaknasti \| tragedy row 15 : 15 \| "grand groove [bonus mix]" \| p. chapman, k-de \| k-def \| tragedy row 16 : 16 \| "funky roll outro" \| None \| None \| interlude ] Execute this SQL based on the above table: select performer order by # asc limit 1	tragedy
[ header: team \| competition \| category \| appearances start \| appearances sub \| goals \| team record row 1 : japan \| 2006 afc u-17 championship qualification \| u-15 \| 1 \| 0 \| 0 \| qualified row 2 : japan \| 2006 afc u-17 championship \| u-16 \| 4 \| 1 \| 4 \| champions row 3 : japan \| 2007 fifa u-17 world cup \| u-17 \| 1 \| 2 \| 2 \| round 1 row 4 : japan \| 2008 afc youth championship qualification \| u-18 \| 4 \| 0 \| 2 \| qualified row 5 : japan \| 2008 afc u-19 championship \| u-19 \| 1 \| 1 \| 0 \| quarterfinal row 6 : japan \| 2013 eaff east asian cup \| senior \| 2 \| 0 \| 3 \| champions ] Execute this SQL based on the above table: select team record where appearances start = 1	qualified, round 1, quarterfinal
[ header: name \| animal type \| introduced \| reintroduced \| retired \| beanie baby resembled row 1 : antlers \| moose \| None \| 1999 (neon) \| 1999 \| chocolate row 2 : baba \| lamb \| None \| 1999 (neon) \| 1999 \| fleece row 3 : bruiser \| bulldog \| 1997 \| None \| None \| wrinkles row 4 : carrots \| bunny \| None \| 1999 (neon) \| 1999 \| ears, but pink instead of brown row 5 : chewy \| None \| None \| 1999 (neon) \| 1999 \| None row 6 : clover \| bunny \| 1998 \| None \| None \| ears, but white instead of brown row 7 : foxy \| fox \| None \| None \| None \| sly row 8 : glide \| porpoise \| None \| None \| None \| echo the dolphin row 9 : huggy \| bear \| 1995 \| 1999 (neon) \| 1999 \| cubbie, but yellow instead of brown row 10 : meow \| cat \| 1997 \| 1999 (neon) \| 1999 \| snip row 11 : moo \| cow \| 1995 \| None \| None \| daisy, but with white body instead of row 12 : oink \| pig \| 1995 \| None \| None \| squealer row 13 : paddles \| platypus \| None \| 1999 (neon) \| 1999 \| patti row 14 : purr \| tiger \| None \| None \| None \| stripes, but yellow-orange instead of orange row 15 : red \| bull \| None \| None \| None \| snort row 16 : ribbit (all-green) \| frog \| 1995 \| 1999 (neon) \| 1999 \| legs row 17 : ribbit (green-yellow) \| frog \| None \| None \| None \| smoochy row 18 : sherbert \| tie-dye bear \| 1998 \| 1999 (neon) \| 1999 \| sammy row 19 : snap (all-yellow) \| turtle \| 1995 \| None \| None \| speedy, but yellow instead of green row 20 : snap (yellow-green) \| turtle \| None \| 1999 (neon) \| None \| peekaboo row 21 : snuggy \| bear \| 1995 \| None \| None \| cubbie, but pink instead of brown row 22 : sparkler \| bear \| None \| None \| 1999 \| spangle row 23 : speckles \| leopard \| None \| None \| None \| freckles row 24 : spotty \| dalmatian \| None \| None \| None \| dotty row 25 : squirt \| elephant \| None \| 1999 (neon) \| 1999 \| peanut row 26 : swinger \| monkey \| None \| 1999 (neon) \| 1999 \| bongo row 27 : tide \| whale \| None \| None \| None \| splash row 28 : tubby \| hippopotamus \| None \| None \| None \| happy row 29 : woof \| dog \| 1995 \| 1999 (neon) \| 1999 \| bones row 30 : zulu \| zebra \| None \| None \| None \| ziggy, but pink-green instead of black ] Execute this SQL based on the above table: select count ( name )	30
[ header: event \| record \| athlete(s) \| date \| time (s) row 1 : bobsleigh - two-man \| start \| beat hefti & thomas \| 6 february 2009 \| 4.7 row 2 : bobsleigh - two-man \| track \| thomas florschutz & \| 20 february 2010 21 february 2010 \| 51.57 row 3 : bobsleigh - four-man \| start \| andre lange, kevin kuske \| 26 february 2010 \| 4.7 row 4 : bobsleigh - four-man \| track \| steve holcomb, justin \| 26 february 2010 \| 50.86 row 5 : bobsleigh - two-woman \| start \| kaillie humphries \| 23 february 2010 24 february 2010 \| 5.11 row 6 : bobsleigh - two-woman \| track \| kaillie humphries \| 24 february 2010 \| 52.85 row 7 : men's skeleton \| start \| alexander tretiakov (rus \| 18 february 2010 \| 4.48 row 8 : men's skeleton \| track \| jon montgomery (can) \| 19 february 2010 \| 52.2 row 9 : women's skeleton \| start \| anja huber (ger) \| 18 february 2010 \| 4.9 row 10 : women's skeleton \| track \| amy williams (gbr \| 19 february 2010 \| 53.68 row 11 : luge - men's singles \| start \| andi langenhan (ger) \| 21 february 2009 \| 3.541 row 12 : luge - men's singles \| track \| felix loch (ger) \| 21 february 2009 \| 46.808 row 13 : luge - women's singles \| start \| natalie geisenberger (ger \| 20 february 2009 \| 7.183 row 14 : luge - women's singles \| track \| natalie geisenberger (ger \| 20 february 2009 \| 48.992 row 15 : luge - men's doubles \| start \| tobias wendl & tobia \| 20 february 2009 \| 7.054 row 16 : luge - men's doubles \| track \| patric leitner & alexander \| 20 february 2009 \| 48.608 ] Execute this SQL based on the above table: select count ( * ) where record is null	0
[ header: event \| meeting gaz de france paris \| golden gala rome \| bislett games oslo \| weltklasse zurich \| memorial van damme brussels \| istaf berlin row 1 : 100 m \| christine arron (fra \| christine arron (fra \| christine arron (fra \| veronica campbell (jam) 10. \| christine arron (fra \| christine arron (fra row 2 : 200 m \| None \| None \| None \| None \| cydonie mothersille ( \| None row 3 : 400 m \| tonique williams-darling ( \| sanya richards (usa \| None \| sanya richards (usa \| None \| None row 4 : 800 m \| svetlana cherkas \| hasna benhassi (mar) \| tatyana andrianova (rus) \| zulia calatayu \| mayte martinez (esp \| zulia calatayu row 5 : 1500 m \| olga yegorova \| mestawat tadesse \| None \| None \| None \| None row 6 : 3000 m / 5000 m \| edith masai (ken) 8:31 \| None \| maryam yusuf jamal \| maryam yusuf jamal \| None \| None row 7 : 3000 m / 5000 m \| None \| tirunesh dibaba (eth \| None \| None \| meseret defar (eth \| berhane adere (e row 8 : 100 m hurdles \| joanna hayes (usa) 12. \| anjanette kirkland (usa \| None \| michelle perry (usa) 12.55 \| None \| brigitte foster-hylton row 9 : 400 m hurdles \| lashinda demus (usa \| lashinda demus (usa \| sandra glover (usa) \| yuliya pechonkina \| lashinda demus (usa \| sandra glover (usa) row 10 : long jump \| None \| None \| None \| None \| tatyana kotova (rus) \| None row 11 : triple jump \| tatyana lebedeva (rus) \| tatyana lebedeva (rus) \| tatyana lebedeva (rus) \| tatyana lebedeva (rus) \| tatyana lebedeva (rus) \| tatyana lebedeva (rus) row 12 : high jump \| None \| None \| amy acuff (usa) \| None \| None \| None row 13 : pole vault \| None \| None \| None \| None \| yelena isinbayeva ( \| None row 14 : discus throw \| None \| None \| None \| None \| None \| natalya sadova (rus) 64 row 15 : shot put \| None \| None \| None \| None \| None \| nadine kleinert (ger) ] Execute this SQL based on the above table: select ( select count ( * ) where meeting gaz de france paris = 'lashinda demus (usa) 53.85' ) > 41	0
[ header: no. \| constituency \| winner candidate \| party \| votes \| margin row 1 : 6 \| rapar \| patel vaghajibhai \| bjp \| 55280 \| 9216 row 2 : 11 \| vadgam \| manilal jethabhai vaghe \| inc \| 90375 \| 21839 row 3 : 12 \| palanpur \| patel maheshkumar amrut \| inc \| 75097 \| 5284 row 4 : 16 \| radhanpur \| thakor nagarji \| bjp \| 69493 \| 3834 row 5 : 20 \| kheralu \| bharatsinhji da \| bjp \| 68195 \| 18386 row 6 : 33 \| prantij \| baraiya mahendrasin \| inc \| 76097 \| 7014 row 7 : 34 \| dehgam \| kaminiba rathod \| inc \| 61043 \| 2297 row 8 : 52 \| jamalpur-khadia \| bhatt bhushan ash \| bjp \| 48058 \| 6331 row 9 : 59 \| dhandhuka \| kolipatel lalji \| bjp \| 77573 \| 28277 row 10 : 65 \| morbi \| kantilal amrutiya \| bjp \| 77386 \| 2760 row 11 : 68 \| rajkot east \| rajguru indranil san \| inc \| 60877 \| 4272 row 12 : 82 \| dwarka \| pabubha virambha man \| bjp \| 70062 \| 5616 row 13 : 90 \| somnath \| barad jasabhai \| inc \| 56701 \| 2096 row 14 : 103 \| bhavnagar rural \| parshottam solanki \| bjp \| 83980 \| 18554 row 15 : 109 \| borsad \| parmar rajendrasinh d \| inc \| 83621 \| 21034 row 16 : 113 \| petlad \| niranjan patel \| inc \| 77312 \| 12192 row 17 : 117 \| mahemdabad \| gautambhai ravj \| inc \| 68767 \| 4181 row 18 : 119 \| thasra \| parmar ramsinh prab \| inc \| 78226 \| 5500 row 19 : 122 \| lunawada \| malivad kalubhai hirab \| bjp \| 72814 \| 3701 row 20 : 124 \| shehra \| ahir jethabhai ghe \| bjp \| 76468 \| 28725 row 21 : 126 \| godhra \| c. k. raul \| inc \| 73367 \| 2868 row 22 : 128 \| halol \| parmar jaydrathsinh \| bjp \| 93854 \| 33206 row 23 : 130 \| jhalod \| garasiya miteshbha \| inc \| 78077 \| 40073 row 24 : 134 \| devgadh baria \| bachu khabad \| bjp \| 113582 \| 83753 row 25 : 135 \| savli \| inamdar ketanbhai ma \| independent \| 62849 \| 20319 row 26 : 136 \| vaghodia \| shrivastav madhubhai bab \| bjp \| 65851 \| 5788 ] Execute this SQL based on the above table: select no. where party = 'inc' and winner candidate = 'patel maheshkumar amrutlal' intersect select no. where party = 'inc' and winner candidate = 'patel maheshkumar amrutlal'	12
[ header: pos. \| athlete \| run 1 \| run 2 \| total row 1 : 1 \| aronne pieruz \| 50.39 \| 58.25 \| 1:48.64 row 2 : 2 \| filip trejbal \| 50.68 \| 58.84 \| 1:49.52 row 3 : 3 \| adam cole \| 51.4 \| 58.51 \| 1:49.91 row 4 : 4 \| tague thorson \| 51.2 \| 59.13 \| 1:50.33 row 5 : 5 \| jan urfer \| 51.54 \| 59.1 \| 1:50.64 row 6 : 6 \| charles christianson \| 51.75 \| 58.91 \| 1:50.66 row 7 : 7 \| francesco ghedina \| 51.37 \| 59.39 \| 1:50.94 row 8 : 8 \| luca moretti \| 52.05 \| 58.89 \| 1:51.17 row 9 : 9 \| cameron barnes \| 51.66 \| 59.51 \| 1:51.37 row 10 : 10 \| martin vrablik \| 52.77 \| 58.6 \| 1:51.48 ] Execute this SQL based on the above table: select abs ( athlete - athlete ) where athlete = 'luca moretti'	0
[ header: number \| author \| first line \| notes row 1 : 1 \| william shakespeare \| "when my love swears that she is made \| first publication, later appears as sonnet 138 row 2 : 2 \| william shakespeare \| "two loves i have, of comfort and \| first publication, later appears as sonnet 144 row 3 : 3 \| william shakespeare \| "did not the heavenly rhetoric of thine \| a version of longaville's son row 4 : 4 \| None \| "sweet cytherea, sitting by \| on the theme of venus and adon row 5 : 5 \| william shakespeare \| "if love make me forsworn, how \| a version of berowne's row 6 : 6 \| None \| "scarce had the sun dried up the \| on the theme of venus and adon row 7 : 7 \| None \| "fair is my love, but not so fair \| in the same six-line stanza row 8 : 8 \| richard barnfield \| "if music and sweet poetry agree" \| first published in poems in diverse humours row 9 : 9 \| None \| "fair was the morn when the fair queen \| on the theme of venus and adon row 10 : 10 \| None \| "sweet rose, fair flower, untimely \| in the same six-line stanza row 11 : 11 \| bartholomew griffin \| "venus, with young adonis sitting \| printed in fidessa (1596). on row 12 : 12 \| thomas deloney? \| "crabbed age and youth cannot live together \| was reprinted with additional stanza row 13 : 13 \| None \| "beauty is but a va \| in the same six-line stanza row 14 : 14 \| None \| "good-night, good rest, a \| in the same six-line stanza row 15 : 15 \| None \| "it was a lording' \| None row 16 : 16 \| william shakespeare \| "on a day (alack the day \| dumaine's poem to catherine row 17 : 18 \| None \| "when as thine eye hath chose \| three versions of the poem exist in manuscript miscell row 18 : 20 \| richard barnfield \| "as it fell upon a day" \| first published in poems in divers humors (1598 ] Execute this SQL based on the above table: select number order by author asc limit 1	4
[ header: player \| hr \| date reached 500 hr \| team \| seasons played row 1 : barry bonds \| 762 \| april 17, 2001 \| san francisco giants \| 1986-2007 row 2 : hank aaron \| 755 \| july 14, 1968 \| atlanta braves \| 1954-1976 row 3 : babe ruth \| 714 \| august 11, 1929 \| new york yankees \| 1914-1935 row 4 : willie mays \| 660 \| september 13, 1965 \| san francisco giants \| 1951-1952, 1954-1973 row 5 : alex rodriguez \| 654 \| august 4, 2007 \| new york yankees \| 1994- row 6 : ken griffey, jr \| 630 \| june 20, 2004 \| cincinnati reds \| 1989-2010 row 7 : jim thome \| 612 \| september 16, 2007 \| chicago white sox \| 1991-2012 row 8 : sammy sosa \| 609 \| april 4, 2003 \| chicago cubs \| 1989-2005, 2007 row 9 : frank robinson \| 586 \| september 13, 1971 \| baltimore orioles \| 1956-1976 row 10 : mark mcgwire \| 583 \| august 5, 1999 \| st. louis cardinals \| 1986-2001 row 11 : harmon killebrew \| 573 \| august 10, 1971 \| minnesota twins \| 1954-1975 row 12 : rafael palmeiro \| 569 \| may 11, 2003 \| texas rangers \| 1986-2005 row 13 : reggie jackson \| 563 \| september 17, 1984 \| california angels \| 1967-1987 row 14 : manny ramirez \| 555 \| may 31, 2008 \| boston red sox \| 1993-2011 row 15 : mike schmidt \| 548 \| april 18, 1987 \| philadelphia phillies \| 1972-1989 row 16 : mickey mantle \| 536 \| may 14, 1967 \| new york yankees \| 1951-1968 row 17 : jimmie foxx \| 534 \| september 24, 1940 \| boston red sox \| 1925-1942, 1944-1945 row 18 : ted williams \| 521 \| june 17, 1960 \| boston red sox \| 1939-1942, 1946-1960 row 19 : willie mccovey \| 521 \| june 30, 1978 \| san francisco giants \| 1959-1980 row 20 : frank thomas \| 521 \| june 28, 2007 \| toronto blue jays \| 1990-2008 row 21 : ernie banks \| 512 \| may 12, 1970 \| chicago cubs \| 1953-1971 row 22 : eddie mathews \| 512 \| july 14, 1967 \| houston astros \| 1952-1968 row 23 : mel ott \| 511 \| august 1, 1945 \| new york giants \| 1926-1947 row 24 : gary sheffield \| 509 \| april 17, 2009 \| new york mets \| 1988-2009 row 25 : eddie murray \| 504 \| september 6, 1996 \| baltimore orioles \| 1977-1997 ] Execute this SQL based on the above table: select count ( * ) where date reached 500 hr in ( 'jimmie foxx' , 'september 13, 1971' )	1
[ header: year \| title \| role \| notes row 1 : 2006 \| save the last dance 2 \| mixx \| direct to video row 2 : 2007 \| nick cannon/wild 'n \| himself \| improv comedy row 3 : 2007 \| stomp the yard \| rich brown \| film row 4 : 2011 \| csi: ny \| the hitman \| episode 7.14 "smooth criminal" row 5 : 2011 \| the fresh beat band \| himself \| special episode "band in a jam" row 6 : 2011 \| battle: los angeles \| specks \| film row 7 : 2012 \| empire girls: julissa \| himself \| reality-show row 8 : 2012 \| red tails \| andrew 'smoky' \| film row 9 : 2012 \| i heart tuesdays \| none \| (tv), creator row 10 : 2012 \| the x factor \| guest mentor \| None row 11 : 2012 \| never mind the buzzcocks \| guest host \| None row 12 : 2012 \| 90210 \| guest star \| None ] Execute this SQL based on the above table: select count ( year ) where year > 636	12
[ header: year \| date \| winner \| make \| pole \| make \| results row 1 : 1970 \| october 4 \| dave sorg \| mercury \| ron north \| oldsmobile \| report row 2 : 1971 \| october 3 \| denny miles \| chevrolet \| les snow \| plymouth \| report row 3 : 1972 \| october 1 \| dave sorg \| chevrolet \| larry moore \| chevrolet \| report row 4 : 1975 \| september 28 \| bob senneker \| chevrolet \| larry moore \| chevrolet \| report row 5 : 1976 \| october 4 \| bob senneker \| chevrolet \| bob senneker \| chevrolet \| report row 6 : 1977 \| october 2 \| bob senneker \| chevrolet \| bob senneker \| chevrolet \| report row 7 : 1980 \| october 5 \| terry senneker \| chevrolet \| mark martin \| chevrolet \| report row 8 : 1983 \| october 2 \| mike eddy \| pontiac \| dick trickle \| pontiac \| report row 9 : 1985 \| september 29 \| mark martin \| ford \| mark martin \| ford \| report row 10 : 1986 \| october 5 \| mark martin \| ford \| mark martin \| pontiac \| report row 11 : 1989 \| october 1 \| butch miller \| chevrolet \| kenny wallace \| pontiac \| report row 12 : 1990 \| september 30 \| bob senneker \| chevrolet \| dave jackson \| chevrolet \| report row 13 : 1992 \| october 4 \| tim steele \| chevrolet \| mike garvey \| ford \| report row 14 : 1993 \| october 3 \| mike cope \| oldsmobile \| hal goodson \| ford \| report row 15 : 1995 \| october 1 \| mike cope \| chevrolet \| ron barfield, jr \| ford \| report row 16 : 1999 \| september 26 \| brian ross \| chevrolet \| matt hagans \| ford \| report row 17 : 2000 \| october 1 \| gary st. amant \| chevrolet \| larry foyt \| pontiac \| report row 18 : 2001 \| september 23 \| joey clanton \| chevrolet \| david stremme \| ford \| report row 19 : 2002 \| october 6 \| gary st. amant \| chevrolet \| david stremme \| chevrolet \| report row 20 : 2003 \| october 5 \| bobby parsley \| chevrolet \| dave jackson \| chevrolet \| report row 21 : 2004 \| None \| None \| None \| None \| None \| None row 22 : 2005 \| None \| None \| None \| None \| None \| None row 23 : 2006 \| october 15 \| scott hantz \| chevrolet \| danny jackson \| None \| report row 24 : 2008 \| october 12 \| david stremme \| dodge \| chris gabehart \| None \| report row 25 : 2009 \| october 18 \| kyle busch \| toyota \| chris gabehart \| None \| report row 26 : 2010 \| october 17 \| chase elliott \| ford \| johnny vandoorn \| None \| report row 27 : 2012 \| october 14 \| ross kenseth \| ford \| rick turner \| ford \| report row 28 : 2013 \| october 13 \| erik jones \| toyota \| chase elliott \| chevrolet \| report ] Execute this SQL based on the above table: select winner group by winner order by count ( * ) desc limit 1	bob senneker
[ header: rank \| athlete \| country \| time \| behind \| points row 1 : 1 \| sven kramer \| netherlands \| 01:53.98 \| 0 \| 37.993 row 2 : 2 \| sverre lunde peder \| norway \| 1:54.87 \| 0.89 \| 38.29 row 3 : 3 \| jan blokhuijsen \| netherlands \| 1:54.93 \| 0.95 \| 38.31 row 4 : 4 \| denis yuskov \| russia \| 1:55.13 \| 1.15 \| 38.376 row 5 : 5 \| koen verweij \| netherlands \| 1:55.42 \| 1.44 \| 38.473 row 6 : 6 \| haralds silovs \| latvia \| 1:55.48 \| 1.5 \| 38.493 row 7 : 7 \| zbigniew brodka \| poland \| 1:55.98 \| 2 \| 38.66 row 8 : 8 \| bart swings \| belgium \| 1:56.08 \| 2.1 \| 38.693 row 9 : 9 \| havard bøkko \| norway \| 1:56.35 \| 2.37 \| 38.783 row 10 : 10 \| jan szymanski \| poland \| 1:56.55 \| 2.57 \| 38.85 row 11 : 11 \| bram smallenbroek \| austria \| 1:57.44 \| 3.46 \| 39.146 row 12 : 12 \| alexis contin \| france \| 1:57.58 \| 3.6 \| 39.193 row 13 : 13 \| benjamin mace \| france \| 1:57.80 \| 3.82 \| 39.266 row 14 : 14 \| konrad niedzwiedzki \| poland \| 1:57.92 \| 3.94 \| 39.306 row 15 : 15 \| sergey gryaztso \| russia \| 1:58.73 \| 4.75 \| 39.576 row 16 : 16 \| patrick beckert \| germany \| 1:59.08 \| 5.1 \| 39.693 row 17 : 17 \| kristian reistad \| norway \| 1:59.19 \| 5.21 \| 39.73 row 18 : 18 \| luca stefani \| italy \| 1:59.82 \| 5.84 \| 39.94 row 19 : 19 \| marco cignini \| italy \| 1:59.97 \| 5.99 \| 39.99 row 20 : 20 \| ferre spruyt \| belgium \| 2:00.00 \| 6.02 \| 40 row 21 : 21 \| vitaly mikhailov \| belarus \| 2:00.75 \| 6.77 \| 40.52 row 22 : 22 \| milan sablik \| czech republic \| 2:00.95 \| 6.97 \| 40.316 row 23 : 23 \| ted jan bloemen \| netherlands \| 2:01.58 \| 7.6 \| 40.526 row 24 : 24 \| moritz geisreiter \| germany \| 2:01.64 \| 7.66 \| 40.566 ] Execute this SQL based on the above table: select time where athlete = 'patrick beckert'	1
[ header: draw \| artist \| song \| points \| place row 1 : 1 \| mystique \| "rendez-vous" \| 25 \| 8 row 2 : 2 \| vulcano \| "met jou d'rbi \| 27 \| 5 row 3 : 3 \| bernadette \| "soms" \| 26 \| 6= row 4 : 4 \| deuce \| "computer games" \| 26 \| 6= row 5 : 5 \| music hall \| "stop die show" \| 54 \| 3 row 6 : 6 \| mystique \| "op zo'n dag \| 8 \| 10 row 7 : 7 \| bernadette \| "sing me a song" \| 69 \| 1 row 8 : 8 \| vulcano \| "een beetje van dit \| 68 \| 2 row 9 : 9 \| deuce \| "stopwatch" \| 20 \| 9 row 10 : 10 \| music hall \| "voulez-vous danser" \| 37 \| 4 ] Execute this SQL based on the above table: select place where draw = 8 and song = '"een beetje van dit"'	2
[ header: year \| team \| games \| carries \| yards \| yards per carry \| longest carry \| touchdowns \| first downs \| fumbles \| fumbles lost row 1 : 2002 \| gb \| 8 \| 39 \| 184 \| 4.7 \| 43 \| 1 \| 8 \| 1 \| 1 row 2 : 2003 \| gb \| 15 \| 77 \| 420 \| 5.5 \| 76 \| 2 \| 18 \| 4 \| 1 row 3 : 2004 \| gb \| 11 \| 71 \| 359 \| 5.1 \| 40 \| 2 \| 16 \| 0 \| 0 row 4 : 2005 \| gb \| 5 \| 30 \| 105 \| 3.5 \| 24 \| 2 \| 9 \| 1 \| 0 row 5 : 2006 \| pit \| 13 \| 60 \| 221 \| 3.7 \| 48 \| 1 \| 9 \| 1 \| 0 row 6 : 2007 \| pit \| 15 \| 107 \| 499 \| 4.7 \| 45 \| 5 \| 37 \| 1 \| 0 row 7 : 2008 \| pit \| 4 \| 2 \| 5 \| 2.5 \| 3 \| 0 \| 2 \| 0 \| 0 row 8 : 2008 \| ind \| 2 \| 8 \| 26 \| 3.3 \| 8 \| 0 \| 1 \| 0 \| 0 row 9 : career \| None \| 73 \| 394 \| 1819 \| 4.6 \| 76 \| 13 \| 100 \| 8 \| 2 ] Execute this SQL based on the above table: select avg ( touchdowns ) where team in ( 'pit' , 'None' )	2.0
[ header: name \| gender \| age \| from \| occupation \| prize money (usd) \| status row 1 : trisha \| female \| 28 \| santa monica, ca \| artist \| $26,000 \| winner row 2 : london \| male \| 46 \| mt. holly, n \| us coast guard (retired) \| $0 \| lost row 3 : adria \| female \| 25 \| seattle, wa \| bartender \| $0 \| 7th captured (by ricky ort row 4 : lucas \| male \| 32 \| carlsbad, ca \| student \| $0 \| 6th captured (by kim) row 5 : andrew \| male \| 21 \| redondo beach, ca \| student / lifeguard \| $0 \| 5th captured (by kim) row 6 : tracy \| female \| 30 \| mililani, hi \| student \| $0 \| 4th captured (by grant) row 7 : lynda \| female \| 59 \| los angeles, ca \| general contractor \| $0 \| 3rd captured (by icey) row 8 : darin \| male \| 46 \| fontana, ca \| sports official \| $0 \| 2nd captured (by wong) row 9 : evan \| male \| 29 \| long island, ny \| teacher \| $2,000 \| opted out row 10 : ameenah \| female \| 34 \| atlanta, ga \| drummer \| $0 \| 1st captured (by grant) ] Execute this SQL based on the above table: select occupation where age >= 46	us coast guard (retired), general contractor, sports official
[ header: released \| title \| label \| number \| notes row 1 : 1995 \| le jazz hot \| modern hot records \| mhr 001 \| None row 2 : 1997 \| new metropolitan swing \| modern hot records \| mhr 002 \| None row 3 : january 1999 \| mystery pacific \| modern hot records \| mhr 003 \| None row 4 : may 1999 \| souvenirs \| modern hot records \| mhr 004 \| None row 5 : october 2000 \| avalon \| modern hot records \| mhr 005 \| None row 6 : may 2002 \| under paris skies \| modern hot records \| mhr 006 \| None row 7 : october 2003 \| swing 48 \| modern hot records \| mhr 008 \| None row 8 : june 2005 \| chasing shadows \| modern hot records \| mhr 009 \| None row 9 : june 2007 \| modern times \| modern hot records \| mhr 011 \| None row 10 : june 2010 \| hotel new yorker \| modern hot records \| mhr 014 \| compilation from 1995-1999 releases row 11 : june 15, 2010 \| systeme d \| modern hot records \| mhr 015 \| None row 12 : april 18, 2012 \| "eleven" \| modern hot records \| mhr 017 \| None ] Execute this SQL based on the above table: select notes group by notes order by count ( notes ) desc limit 1	compilation from 1995-1999 releases
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 5 \| jim clark \| lotus-ford \| 80 \| 1:59:25.6 \| 1 \| 9 row 2 : 2 \| 2 \| denny hulme \| brabham-repco \| 80 \| + 12.8 \| 4 \| 6 row 3 : 3 \| 8 \| chris amon \| ferrari \| 80 \| + 16.6 \| 6 \| 4 row 4 : 4 \| 1 \| jack brabham \| brabham-repco \| 80 \| + 21.8 \| 3 \| 3 row 5 : 5 \| 12 \| pedro rodriguez \| cooper-maserati \| 79 \| + 1 lap \| 9 \| 2 row 6 : 6 \| 7 \| john surtees \| honda \| 78 \| + 2 laps \| 7 \| 1 row 7 : 7 \| 15 \| chris irwin \| brm \| 77 \| + 3 laps \| 13 \| None row 8 : 8 \| 20 \| david hobbs \| brm \| 77 \| + 3 laps \| 14 \| None row 9 : 9 \| 14 \| alan rees \| cooper-maserati \| 76 \| + 4 laps \| 15 \| None row 10 : 10 \| 18 \| guy ligier \| brabham-repco \| 76 \| + 4 laps \| 21 \| None row 11 : ret \| 19 \| bob anderson \| brabham-climax \| 67 \| engine \| 17 \| None row 12 : ret \| 6 \| graham hill \| lotus-ford \| 64 \| engine \| 2 \| None row 13 : ret \| 4 \| mike spence \| brm \| 44 \| ignition \| 11 \| None row 14 : ret \| 9 \| dan gurney \| eagle-weslake \| 34 \| clutch \| 5 \| None row 15 : ret \| 22 \| silvio moser \| cooper-ats \| 29 \| oil pressure \| 20 \| None row 16 : ret \| 11 \| jochen rindt \| cooper-maserati \| 26 \| engine \| 8 \| None row 17 : ret \| 3 \| jackie stewart \| brm \| 20 \| transmission \| 12 \| None row 18 : ret \| 10 \| bruce mclaren \| eagle-weslake \| 14 \| engine \| 10 \| None row 19 : ret \| 17 \| jo siffert \| cooper-maserati \| 10 \| engine \| 18 \| None row 20 : ret \| 23 \| jo bonnier \| cooper-maserati \| 0 \| engine \| 9 \| None row 21 : dns \| 16 \| piers courage \| brm \| 0 \| non starter \| None \| None ] Execute this SQL based on the above table: select time/retired group by time/retired having count ( * ) = 2	1.0, 3.0, 4.0
[ header: week \| date \| opponent \| results final score \| results team record \| venue \| attendance row 1 : 1 \| september 20 \| at detroit lions \| w 16-13 \| 1-0 \| tiger stadium \| 54,418 row 2 : 2 \| september 26 \| chicago bears \| l 20-17 \| 1-1 \| metropolitan stadium \| 47,900 row 3 : 3 \| october 3 \| buffalo bills \| w 19-0 \| 2-1 \| metropolitan stadium \| 47,900 row 4 : 4 \| october 10 \| at philadelphia eagle \| w 13-0 \| 3-1 \| veterans stadium \| 65,358 row 5 : 5 \| october 17 \| at green bay packers \| w 24-13 \| 4-1 \| lambeau field \| 56,263 row 6 : 6 \| october 25 \| baltimore colts \| w 10-3 \| 5-1 \| metropolitan stadium \| 49,784 row 7 : 7 \| october 31 \| at new york giants \| w 17-10 \| 6-1 \| yankee stadium \| 62,829 row 8 : 8 \| november 7 \| san francisco 49ers \| l 13-9 \| 6-2 \| metropolitan stadium \| 49,784 row 9 : 9 \| november 14 \| green bay packers \| w 3-0 \| 7-2 \| metropolitan stadium \| 49,784 row 10 : 10 \| november 21 \| at new orleans saints \| w 23-10 \| 8-2 \| tulane stadium \| 83,130 row 11 : 11 \| november 28 \| atlanta falcons \| w 24-7 \| 9-2 \| metropolitan stadium \| 49,784 row 12 : 12 \| december 5 \| at san diego chargers \| l 30-14 \| 9-3 \| san diego stadium \| 54,505 row 13 : 13 \| december 11 \| detroit lions \| w 29-10 \| 10-3 \| metropolitan stadium \| 49,784 row 14 : 14 \| december 19 \| at chicago bears \| w 27-10 \| 11-3 \| soldier field \| 55,049 ] Execute this SQL based on the above table: select venue where venue = 'metropolitan stadium' and week = 2	metropolitan stadium
[ header: creature (other planes) \| page \| other appearances \| variants \| description row 1 : aerial servant \| 39 \| rules cyclopedia (1991) \| None \| None row 2 : basilisk \| 39 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 3 : cockatrice \| 39 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 4 : djinni, lesser \| 39 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 5 : djinni, greater \| 39 \| rules cyclopedia (1991) \| None \| None row 6 : efreeti, lesser \| 39 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 7 : efreeti, greater \| 39-40 \| rules cyclopedia (1991) \| None \| None row 8 : elemental \| 40 \| d&d expert rules (1981), \| None \| describes additional statistics and abilities/penalties applicable row 9 : gorgon \| 40 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 10 : helion \| 40 \| rules cyclopedia (1991) \| None \| None row 11 : horde \| 41 \| rules cyclopedia (1991) \| None \| None row 12 : hydrax \| 41 \| rules cyclopedia (1991) \| None \| None row 13 : invisible stalker \| 41 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 14 : kryst \| 42 \| rules cyclopedia (1991) \| None \| None row 15 : medusa \| 42 \| d&d basic rules (1981), \| None \| describes additional abilities/penalties applicable to native row 16 : plasm \| 42 \| rules cyclopedia (1991) \| normal and giant \| None row 17 : salamander \| 42 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 18 : undine \| 42 \| rules cyclopedia (1991) \| None \| None ] Execute this SQL based on the above table: select count ( * ) where creature (other planes) > 530	18
[ header: # \| date \| opponent \| score \| win \| loss \| save \| attendance \| record row 1 : 107 \| august 3 \| red sox \| 7 - 4 \| green (5-1) \| timlin (1-1) \| putz (32) \| 46235 \| 60-47 row 2 : 110 \| august 7 \| @ orioles \| 10 - 3 \| weaver (3-10) \| walker (1-2) \| None \| 25060 \| 61-49 row 3 : 111 \| august 8 \| @ orioles \| 8 - 4 \| hernandez (8-6) \| guthrie (7-4) \| putz (33) \| 17511 \| 62-49 row 4 : 112 \| august 9 \| @ orioles \| 13 - 8 \| ramirez (7-3) \| cabrera (8-12) \| sherrill (1) \| 18679 \| 63-49 row 5 : 113 \| august 10 \| @ white sox \| 5 - 3 \| vazquez (10-6) \| washburn (8-9) \| jenks (33) \| 38586 \| 63-50 row 6 : 114 \| august 11 \| @ white sox \| 7 - 6 \| batista (12-8) \| floyd (1-2) \| putz (34) \| 38210 \| 64-50 row 7 : 115 \| august 12 \| @ white sox \| 6 - 0 \| weaver (4-10) \| danks (6-10) \| None \| 36629 \| 65-50 row 8 : 117 \| august 14 \| twins \| 11 - 3 \| garza () \| ramirez (7-4) \| None \| 33729 \| 66-51 row 9 : 118 \| august 15 \| twins \| 6 - 1 \| neshek (7-2) \| washburn (8-10) \| None \| 42921 \| 66-52 row 10 : 119 \| august 17 \| white sox \| 5 - 4 \| batista (13-8) \| contreras (6-15) \| putz (35) \| 46170 \| 67-52 row 11 : 120 \| august 18 \| white sox \| 7 - 5 \| weaver (5-10) \| danks (6-11) \| putz (36) \| 41121 \| 68-52 row 12 : 121 \| august 19 \| white sox \| 11 - 5 \| hernandez (9-6) \| garland (8-9) \| None \| 45668 \| 69-52 row 13 : 122 \| august 20 \| @ twins \| 9 - 4 \| ramirez (8-4) \| garza (2-4) \| None \| 31755 \| 70-52 row 14 : 123 \| august 21 \| @ twins \| 7 - 2 \| washburn (9-10) \| baker (6-6) \| None \| 42373 \| 71-52 row 15 : 124 \| august 22 \| @ twins \| 8 - 4 \| silva (10-12) \| batista (13-9) \| None \| 29881 \| 71-53 row 16 : 125 \| august 23 \| @ rangers \| 9 - 4 \| weaver (6-10) \| loe (6-10) \| None \| 26963 \| 72-53 row 17 : 127 \| august 25 \| @ rangers \| 5 - 3 \| benoit (7-3) \| white (1-1) \| wilson (8) \| 47977 \| 73-54 row 18 : 128 \| august 26 \| @ rangers \| 5 - 3 \| padilla (4-9) \| washburn (9-11) \| None \| 25437 \| 73-55 row 19 : 129 \| august 27 \| angels \| 6 - 0 \| lackey (16-8) \| batista (13-10) \| None \| 45998 \| 73-56 row 20 : 130 \| august 28 \| angels \| 10 - 6 \| speier (2-3) \| morrow (3-3) \| None \| 44395 \| 73-57 row 21 : 131 \| august 29 \| angels \| 8 - 2 \| weaver (10-6) \| hernandez (10-7) \| None \| 46047 \| 73-58 row 22 : 132 \| august 30 \| @ indians \| 6 - 5 \| borowski (3-5) \| o'flaherty (7- \| None \| 25949 \| 73-59 ] Execute this SQL based on the above table: select attendance where attendance > 1948 order by attendance asc limit 1	17511
[ header: score \| 2007 \| 2008 \| 2009 \| 2010 \| 2011 \| 2012 \| 2013 row 1 : 5 \| 15.3% \| 18.4% \| 18.0% \| 17.1% \| 17.0% \| 16.4% \| 18.9% row 2 : 4 \| 18.0% \| 17.5% \| 17.9% \| 18.5% \| 18.4% \| 19.3% \| 21.5% row 3 : 3 \| 23.0% \| 20.0% \| 20.2% \| 19.3% \| 19.5% \| 20.1% \| 18.8% row 4 : 2 \| 18.5% \| 14.3% \| 14.2% \| 12.7% \| 14.6% \| 15.0% \| 14.9% row 5 : 1 \| 25.3% \| 29.9% \| 29.8% \| 32.3% \| 30.4% \| 29.2% \| 26.0% row 6 : mean \| 2.79 \| 2.8 \| 2.8 \| 2.76 \| 2.77 \| 2.79 \| 2.92 row 7 : number of students \| 97136 \| 100586 \| 104789 \| 115077 \| 122651 \| 132425 \| 140006 ] Execute this SQL based on the above table: select 2007 where 2007 in ( '23.0%' , '23.0%' ) group by 2007 order by count ( * ) desc limit 1	23.0%
[ header: rnd \| date \| location \| laps \| distance \| time \| speed (km/h) \| winner \| pole position \| most leading laps \| fastest race lap row 1 : 1 \| january 24 \| walt disney world speedway, flori \| 200 \| 200 mi (320 km) \| 2'06:04.000 \| 153.186 \| tony stewart \| tony stewart \| tony stewart \| kenny brack row 2 : 2 \| march 22 \| phoenix international raceway, ari \| 200 \| 200 mi (320 km) \| 2'02:18.735 \| 157.888 \| scott sharp \| jeff ward \| tony stewart \| tony stewart row 3 : 3 \| may 24 \| indianapolis motor speedway, indian \| 200 \| 500 mi (800 km) \| 3'26:40.524 \| 233.598 \| eddie cheever \| billy boat \| eddie cheever \| tony stewart row 4 : 4 \| june 6 \| texas motor speedway, tex \| 208 \| 312 mi (502 km) \| 2'08:45.543 \| 233.973 \| billy boat \| tony stewart \| billy boat \| tony stewart row 5 : 5 \| june 28 \| new hampshire international speedway, new \| 200 \| 211.6 mi (340.5 km) \| 1'51:30.262 \| 183.237 \| tony stewart \| billy boat \| tony stewart \| davey hamilton row 6 : 6 \| july 19 \| dover international speedway, delaware \| 248 \| 248 mi (399 km) \| 2'29:49.262 \| 159.833 \| scott sharp \| tony stewart \| scott sharp \| greg ray row 7 : 7 \| july 25 \| lowe's motor speedway, north car \| 208 \| 312 mi (502 km) \| 1'58:10.555 \| 254.926 \| kenny brack \| tony stewart \| kenny brack \| kenny brack row 8 : 8 \| august 16 \| pikes peak international raceway, colorad \| 200 \| 200 mi (320 km) \| 1'29:52.649 \| 214.866 \| kenny brack \| billy boat \| jeff ward \| jeff ward row 9 : 9 \| august 29 \| atlanta motor speedway, georgi \| 200 \| 312 mi (502 km) \| 2'17:15.289 \| 225.343 \| kenny brack \| billy boat \| scott goodyear \| billy boat row 10 : 10 \| september 20 \| texas motor speedway, tex \| 208 \| 312 mi (502 km) \| 2'21:53.557 \| 212.316 \| john paul, jr \| billy boat \| tony stewart \| jeff ward row 11 : 11 \| october 11 \| las vegas motor speedway, \| 208 \| 312 mi (502 km) \| 2'18:19.202 \| 217.8 \| arie luyendyk \| billy boat \| arie luyendyk \| arie luyendyk ] Execute this SQL based on the above table: select location where id = ( select id where fastest race lap = 'kenny brack' ) + 1	phoenix international raceway, arizona
[ header: publication \| score \| review row 1 : 1up.com \| b \| → row 2 : weekly famitsu \| 36 of 40 \| print row 3 : gamepro.com \| 6.5 of 10 \| → row 4 : gamespot \| 7.5 of 10 \| → row 5 : hardcore gamer magazine \| 9.5 of 10 \| print row 6 : ign.com \| 7.9 of 10 \| → row 7 : nintendo power \| 8 of 10 \| print row 8 : play magazine \| 7 of 10 \| print row 9 : metacritic \| 76 of 100 \| → ] Execute this SQL based on the above table: select review where publication = 'gamepro.com'	→
[ header: name \| rural municipality (rm) \| population (2011) \| population (2006) \| change (%) \| land area (km2) \| population density (per km2) row 1 : assiniboia \| lake of the rivers no. 72 \| 2418 \| 2305 \| 4.9 \| 3.78 \| 639.8 row 2 : bengough \| bengough no. 40 \| 313 \| 337 \| -7.1 \| 1.07 \| 292 row 3 : bienfait \| coalfields no. 4 \| 780 \| 748 \| 4.3 \| 3.09 \| 252.4 row 4 : big river \| big river no. 555 \| 639 \| 728 \| -12.2 \| 2.51 \| 255 row 5 : birch hills \| birch hills no. 460 \| 1064 \| 935 \| 13.8 \| 2.27 \| 468.4 row 6 : broadview \| elcapo no. 154 \| 574 \| 611 \| -6.1 \| 2.45 \| 233.8 row 7 : bruno \| bayne no. 371 \| 574 \| 495 \| 16 \| 0.95 \| 606.1 row 8 : churchbridge \| churchbridge no. 211 \| 743 \| 704 \| 5.5 \| 2.76 \| 269.2 row 9 : craik \| craik no. 222 \| 453 \| 408 \| 11 \| 3.02 \| 150 row 10 : govan \| last mountain valley no. 250 \| 216 \| 232 \| -6.9 \| 1.35 \| 159.7 row 11 : kindersley \| kindersley no. 290 \| 4678 \| 4412 \| 6 \| 12.55 \| 372.8 row 12 : kipling \| kingsley no. 124 \| 1051 \| 973 \| 8 \| 2.15 \| 487.9 row 13 : lampman \| browning no. 34 \| 713 \| 634 \| 12.5 \| 2.23 \| 319.9 row 14 : leader \| happyland no. 231 \| 821 \| 881 \| -6.8 \| 1.71 \| 481.2 row 15 : lemberg \| abernethy no. 186 \| 274 \| 255 \| 7.5 \| 2.67 \| 102.7 row 16 : lumsden \| lumsden no. 189 \| 1631 \| 1523 \| 7.1 \| 4.06 \| 402 row 17 : maple creek \| maple creek no. 111 \| 2176 \| 2198 \| -1 \| 4.42 \| 492.1 row 18 : milestone \| brock no. 64 \| 618 \| 562 \| 10 \| 2.17 \| 284.4 row 19 : morse \| morse no. 165 \| 240 \| 236 \| 1.7 \| 1.45 \| 165.7 row 20 : naicam \| pleasantdale no. 398 \| 686 \| 690 \| -0.6 \| 1.69 \| 405.5 row 21 : nipawin \| nipawin no. 487 \| 4265 \| 4076 \| 4.6 \| 8.71 \| 489.4 row 22 : osler \| corman park no. 344 \| 1088 \| 926 \| 17.5 \| 1.55 \| 700.6 row 23 : pilot butte \| mcleod no. 185 \| 1848 \| 1872 \| -1.3 \| 5.05 \| 365.6 row 24 : porcupine plain \| porcupine no. 395 \| 855 \| 783 \| 9.2 \| 2.27 \| 377.2 row 25 : preeceville \| preeceville no. 334 \| 1070 \| 1050 \| 1.9 \| 3.06 \| 350.2 row 26 : rouleau \| redburn no. 130 \| 453 \| 400 \| 13.3 \| 1.61 \| 282.2 row 27 : shaunavon \| grassy creek no. 78 \| 1756 \| 1691 \| 3.8 \| 5.1 \| 344.2 row 28 : springside \| st. philips no. \| 534 \| 513 \| 4.1 \| 0.68 \| 791 row 29 : star city \| star city no. 428 \| 460 \| 428 \| 7.5 \| 0.7 \| 661.1 row 30 : strasbourg \| mckillop no. 220 \| 752 \| 732 \| 2.7 \| 5.7 \| 132 ] Execute this SQL based on the above table: select rural municipality (rm) where id = ( select id where rural municipality (rm) = 'coalfields no. 4' ) + 1	big river no. 555
[ header: year \| representative \| hometown \| placement in miss nepal \| special awards at miss nepal \| placement in miss pokhara row 1 : 1995 \| rita gurung \| pamee \| 1st runner up \| None \| winner row 2 : 1996 \| binita gurung \| batulichor \| 2nd runner up \| None \| winner row 3 : 1997 \| neelima gurung \| nadipur \| winner \| miss personality \| winner row 4 : 1998 \| sunita ranjit \| lakeside \| None \| None \| winner row 5 : 1999 \| kripa gurung \| tersapatti \| 2nd runner up \| miss photogenic \| winner row 6 : 2004 \| anita gurung \| bajapatan \| 2nd runner up \| miss talent \| miss paschimanchal 2003 row 7 : 2005 \| chandra gurung \| ghorepatan \| None \| None \| None row 8 : 2011 \| madina begum \| pokreli \| None \| miss perseverance \| None row 9 : 2012 \| dilasha gc \| chindata \| None \| None \| None row 10 : 2013 \| sipora gurung \| mahendrapool \| 3rd runner up \| miss talent \| None row 11 : 2014 \| rashmi adhikari \| goripatan \| None \| None \| winner ] Execute this SQL based on the above table: select count ( * ) where special awards at miss nepal = 'miss talent'	2
[ header: rank \| athlete \| nationality \| time row 1 : None \| moses tanui \| kenya \| 1:01:45 row 2 : None \| paul yego \| kenya \| 1:01:46 row 3 : 4 \| antonio serrano \| spain \| 1:01:56 row 4 : 7 \| herder vazquez \| colombia \| 1:02:32 row 5 : 8 \| nobuyuki sato \| japan \| 1:02:36 row 6 : 10 \| joaquim pinheiro \| portugal \| 1:02:40 row 7 : 13 \| danilo goffi \| italy \| 1:02:49 row 8 : 14 \| oleg strizhakov \| russia \| 1:02:54 row 9 : 18 \| muhammed nazipov \| russia \| 1:03:02 row 10 : 23 \| meck mothuli \| south africa \| 1:03:25 row 11 : 39 \| juan antonio crespo \| spain \| 1:04:12 row 12 : 46 \| daniel held \| united states \| 1:04:30 row 13 : 53 \| kaare sørensen \| denmark \| 1:04:51 row 14 : 59 \| kingston maringe \| zimbabwe \| 1:05:12 row 15 : 60 \| abel chimukoko \| zimbabwe \| 1:05:15 row 16 : 62 \| yann millon \| france \| 1:05:20 row 17 : 66 \| manuel matias \| portugal \| 1:05:23 row 18 : 70 \| tolosa gebre \| ethiopia \| 1:05:37 row 19 : 79 \| marcos villa \| mexico \| 1:06:16 row 20 : 83 \| chris verbeeck \| belgium \| 1:06:37 row 21 : 84 \| julius ruto \| kenya \| 1:06:40 row 22 : 90 \| ronald schut \| netherlands \| 1:06:53 row 23 : 92 \| khelil benhalima \| algeria \| 1:07:01 row 24 : 96 \| tayeb kallou \| algeria \| 1:07:21 row 25 : 105 \| ebrahim etta-ati \| iran \| 1:08:10 row 26 : 106 \| wilson theleso \| botswana \| 1:08:12 row 27 : 108 \| haja ramananjatavo \| madagascar \| 1:08:25 row 28 : 116 \| ajay chuttoo \| mauritius \| 1:09:29 row 29 : 118 \| parakhat kurtgeldiye \| turkmenistan \| 1:09:50 row 30 : 122 \| edo janic \| yugoslavia \| 1:10:38 row 31 : 130 \| lee kar lun \| hong kong \| 1:13:28 row 32 : 133 \| binesh prasad \| fiji \| 1:15:38 row 33 : 137 \| genc lugja \| albania \| 1:16:53 row 34 : None \| baha tulumbo \| tanzania \| dnf ] Execute this SQL based on the above table: select rank where rank = 118	118.0
[ header: year \| album \| territory \| label \| notes row 1 : 1989 \| good deeds and dirty rags \| uk \| capitol records \| debut album, reached no. 26 on uk row 2 : 1989 \| fish heads and tails \| uk \| capitol records \| mid-price live and rarities compilation row 3 : 1991 \| hammer and tongs \| uk \| radioactive records/mca \| second studio album; reached no. 61 on row 4 : 1991 \| goodbye mr. mackenzie \| international \| radioactive records/mca \| compilation of tracks from both albums, remixed row 5 : 1993 \| live on the day of storms \| uk \| blokshok records \| live album row 6 : 1994 \| five \| uk \| blokshok records \| third studio album row 7 : 1995 \| jezebel \| uk \| blokshok records \| rarities compilation row 8 : 1996 \| the glory hole \| uk \| blokshok records \| fourth and final studio album: manson, row 9 : 2005 \| the river sessions \| uk \| river records \| double live album row 10 : 2009 \| the rattler: live '91' \| uk \| md music company \| live album (digital release) ] Execute this SQL based on the above table: select notes order by year desc limit 1	live album (digital release)
[ header: year \| representative \| hometown \| placement in miss nepal \| special awards at miss nepal \| placement in miss pokhara row 1 : 1995 \| rita gurung \| pamee \| 1st runner up \| None \| winner row 2 : 1996 \| binita gurung \| batulichor \| 2nd runner up \| None \| winner row 3 : 1997 \| neelima gurung \| nadipur \| winner \| miss personality \| winner row 4 : 1998 \| sunita ranjit \| lakeside \| None \| None \| winner row 5 : 1999 \| kripa gurung \| tersapatti \| 2nd runner up \| miss photogenic \| winner row 6 : 2004 \| anita gurung \| bajapatan \| 2nd runner up \| miss talent \| miss paschimanchal 2003 row 7 : 2005 \| chandra gurung \| ghorepatan \| None \| None \| None row 8 : 2011 \| madina begum \| pokreli \| None \| miss perseverance \| None row 9 : 2012 \| dilasha gc \| chindata \| None \| None \| None row 10 : 2013 \| sipora gurung \| mahendrapool \| 3rd runner up \| miss talent \| None row 11 : 2014 \| rashmi adhikari \| goripatan \| None \| None \| winner ] Execute this SQL based on the above table: select count ( distinct representative ) where placement in miss pokhara = 'None'	0
[ header: \| \| \| \| \| \| \| \| row 1 : ccc \| ieee conference on computational complexity \| 1993 \| 1996 \| 1999 \| None \| 2007 \| 2011 \| 2015 row 2 : ec \| acm conference on electronic commerce \| None \| None \| None \| 2003 \| 2007 \| 2011 \| 2015 row 3 : isca \| acm/ieee international \| 1993 \| 1996 \| 1999 \| 2003 \| 2007 \| 2011 \| 2015 row 4 : lctes \| acm sigplan/sigbed \| None \| None \| 1999 \| 2003 \| 2007 \| None \| None row 5 : metrics \| acm sigmetrics international conference \| None \| 1996 \| 1999 \| 2003 \| 2007 \| None \| 2015 row 6 : pldi \| acm sigplan conference on programming \| None \| 1996 \| 1999 \| 2003 \| 2007 \| 2011 \| 2015 row 7 : podc \| acm symposium on principles of distributed computing \| None \| 1996 \| 1999 \| None \| None \| 2011 \| None row 8 : ppopp \| acm sigplan symposium on principles \| 1993 \| None \| 1999 \| 2003 \| None \| None \| None row 9 : spaa \| acm symposium on parallelism in \| None \| None \| None \| 2003 \| 2007 \| 2011 \| 2015 row 10 : socg \| acm symposium on computational geometry \| 1993 \| 1996 \| None \| 2003 \| None \| None \| None row 11 : stoc \| acm symposium on theory of computing \| 1993 \| 1996 \| 1999 \| 2003 \| 2007 \| 2011 \| 2015 ] Execute this SQL based on the above table: select order by desc limit 1	ccc
[ header: year \| title \| role \| notes row 1 : 2006 \| save the last dance 2 \| mixx \| direct to video row 2 : 2007 \| nick cannon/wild 'n \| himself \| improv comedy row 3 : 2007 \| stomp the yard \| rich brown \| film row 4 : 2011 \| csi: ny \| the hitman \| episode 7.14 "smooth criminal" row 5 : 2011 \| the fresh beat band \| himself \| special episode "band in a jam" row 6 : 2011 \| battle: los angeles \| specks \| film row 7 : 2012 \| empire girls: julissa \| himself \| reality-show row 8 : 2012 \| red tails \| andrew 'smoky' \| film row 9 : 2012 \| i heart tuesdays \| none \| (tv), creator row 10 : 2012 \| the x factor \| guest mentor \| None row 11 : 2012 \| never mind the buzzcocks \| guest host \| None row 12 : 2012 \| 90210 \| guest star \| None ] Execute this SQL based on the above table: select sum ( year )	24125
[ header: year \| venue \| winners \| runner-up \| 3rd place row 1 : 2005 \| pardubice \| poland (41 pts) \| sweden (35 pts \| denmark (24 pts) row 2 : 2006 \| rybnik \| poland (41 pts) \| sweden (27 pts \| denmark (26 pts) row 3 : 2007 \| abensberg \| poland (40 pts) \| great britain (36 pt \| czech republic (30 pts row 4 : 2008 \| holsted \| poland (40 pts) \| denmark (39 pts) \| sweden (38 pts row 5 : 2009 \| gorzow wlkp \| poland (57 pts) \| denmark (45 pts) \| sweden (32 pts row 6 : 2010 \| rye house \| denmark (51 pts) \| sweden (37 pts \| poland (35 pts) row 7 : 2011 \| balakovo \| russia (61 pts) \| denmark (31 pts) \| ukraine (29+3 p row 8 : 2012 \| gniezno \| poland (61 pts) \| australia (44 pts) \| sweden (26 pts ] Execute this SQL based on the above table: select venue order by year desc limit 1	gniezno
[ header: year \| competition \| date \| location \| opponent \| score \| result \| bye row 1 : 1990 \| world group, 1st round \| 2-4 feb \| barcelona (esp) \| spain \| 3-2 \| win \| row 2 : 1990 \| world group, quarterfinals \| 30 mar - 2 apr \| vienna (aut) \| italy \| 5-0 \| win \| row 3 : 1990 \| world group, semifinals \| 21-23 sep \| vienna (aut) \| united states \| 2-3 \| loss \| row 4 : 1991 \| world group, 1st round \| 1-3 feb \| prague (tch) \| czechoslovakia \| 1-4 \| loss \| row 5 : 1991 \| world group, relegation play-off \| 20-22 sep \| manchester (gbr) \| great britain \| 1-3 \| loss \| row 6 : 1992 \| euro/african zone group i \| None \| None \| None \| None \| None \| row 7 : 1992 \| euro/african zone group i \| 1-3 may \| helsinki (fin) \| finland \| 4-1 \| win \| row 8 : 1992 \| world group, relegation play-off \| 25-27 sep \| vancouver (can) \| canada \| 3-1 \| win \| row 9 : 1993 \| world group, 1st round \| 26-28 mar \| vienna (aut) \| france \| 1-4 \| loss \| row 10 : 1993 \| world group, relegation play-off \| 24-26 sep \| christchurch (nzl) \| new zealand \| 3-2 \| win \| row 11 : 1994 \| world group, 1st round \| 26-28 mar \| graz (aut) \| germany \| 2-3 \| loss \| row 12 : 1994 \| world group, relegation play-off \| 23-25 sep \| montevideo (uru) \| uruguay \| 3-2 \| win \| row 13 : 1995 \| world group, 1st round \| 3-5 feb \| vienna (aut) \| spain \| 4-1 \| win \| row 14 : 1995 \| world group, quarterfinals \| 31 mar - 2 apr \| vaxjo (swe) \| sweden \| 0-5 \| loss \| row 15 : 1996 \| world group, 1st round \| 9-12 feb \| johannesburg (rsa) \| south africa \| 2-3 \| loss \| row 16 : 1996 \| world group, relegation play-off \| 20-22 sep \| sao paulo (bra) \| brazil \| 1-4 \| loss \| row 17 : 1997 \| euro/african zone group i \| None \| None \| None \| None \| None \| row 18 : 1997 \| euro/african zone group i \| 4-6 apr \| graz (aut) \| croatia \| 3-2 \| win \| row 19 : 1997 \| world group, relegation play-off \| 19-21 sep \| harare (zim) \| zimbabwe \| 2-3 \| loss \| row 20 : 1998 \| euro/african zone group i \| 3-5 apr \| ramat hasharon (isr) \| israel \| 1-4 \| loss \| row 21 : 1998 \| euro/african zone group i \| 25-27 sep \| portschach (aut) \| denmark \| 5-0 \| win \| row 22 : 1999 \| euro/african zone group i \| 2-4 apr \| wels (aut) \| portugal \| 4-1 \| win \| row 23 : 1999 \| world group, relegation play-off \| 24-26 sep \| portschach (aut) \| sweden \| 3-2 \| win \| ] Execute this SQL based on the above table: select count ( bye ) where year > ( select year where bye = '' )	20
[ header: year \| group \| award \| result \| notes row 1 : 1994 \| venice film festival \| best actor \| won \| before the rain (1994 film) row 2 : 1996 \| new zealand film and tv \| best foreign performer \| won \| broken english (1996 film) row 3 : 2006 \| monaco international film festival \| best actor \| won \| short order row 4 : 2007 \| rome film fest \| best actor \| won \| fugitive pieces (film) row 5 : 2008 \| satellite awards \| best actor in a supporting role \| nominated \| fugitive pieces (film) row 6 : 2008 \| vancouver film critics circle \| best supporting actor in a canadian film \| nominated \| fugitive pieces (film) row 7 : 2009 \| genie awards \| best performance by an actor in a supporting role \| nominated \| fugitive pieces (film) row 8 : 2012 \| tetouan international mediterra \| best actor \| won \| io sono li ] Execute this SQL based on the above table: select notes order by year asc limit 1	before the rain (1994 film)
[ header: rank \| name \| nationality \| 1,62 \| 1,67 \| 1,72 \| 1,75 \| notes row 1 : 1 \| dior delophont \| france \| None \| o \| o \| o \| q row 2 : 1 \| ligia grozav \| romania \| None \| o \| o \| o \| q row 3 : 3 \| iryna herashchenko \| ukraine \| None \| o \| xo \| o \| q row 4 : 4 \| lucija zupzic \| croatia \| o \| o \| o \| xo \| q row 5 : 4 \| chanice porter \| jamaica \| None \| None \| None \| xo \| q row 6 : 6 \| alexandra plaza \| germany \| o \| xo \| o \| xxo \| q row 7 : 7 \| nikola parilova \| czech republic \| o \| o \| o \| xxx \| q row 8 : 7 \| ioanna koltsid \| greece \| o \| o \| o \| xxx \| q row 9 : 9 \| leontia kallenou \| cyprus \| None \| xo \| xo \| xxx \| None row 10 : 10 \| anna pau \| italy \| xxo \| o \| xxo \| xxx \| None row 11 : 11 \| emily crutcher \| australia \| o \| o \| xxx \| None \| None row 12 : 11 \| keeley o'hagan \| new zealand \| o \| o \| xxx \| None \| None row 13 : 13 \| dace dreimane \| latvia \| xo \| o \| xxx \| None \| None row 14 : 14 \| vivien baglyos \| hungary \| o \| xo \| xxx \| None \| None row 15 : 15 \| thea lafond \| dominica \| xo \| xxx \| None \| None \| None ] Execute this SQL based on the above table: select rank order by rank desc limit 1	15.0
[ header: name \| county \| population (2012 est.) \| population (2010) \| land area row 1 : bremerton \| kitsap \| 39,251 \| 37,729 \| 28.41 sq mi (73.6 km2) row 2 : carnation \| king \| 1,823 \| 1,786 \| 1.16 sq mi (3.0 km2) row 3 : colville \| stevens \| 4,669 \| 4,673 \| 2.93 sq mi (7.6 km2) row 4 : des moines \| king \| 30,449 \| 29,673 \| 6.50 sq mi (16.8 km2) row 5 : duvall \| king \| 7,183 \| 6,695 \| 2.47 sq mi (6.4 km2) row 6 : edmonds \| snohomish \| 40,400 \| 39,709 \| 8.91 sq mi (23.1 km2) row 7 : elma \| grays harbor \| 3,095 \| 3,107 \| 1.89 sq mi (4.9 km2) row 8 : ferndale \| whatcom \| 11,998 \| 11,415 \| 6.61 sq mi (17.1 km2) row 9 : fife \| pierce \| 9,333 \| 9,173 \| 5.68 sq mi (14.7 km2) row 10 : gig harbor \| pierce \| 7,549 \| 7,126 \| 5.95 sq mi (15.4 km2) row 11 : goldendale \| klickitat \| 3,471 \| 3,407 \| 2.52 sq mi (6.5 km2) row 12 : granite falls \| snohomish \| 3,416 \| 3,364 \| 2.18 sq mi (5.6 km2) row 13 : harrington \| lincoln \| 420 \| 424 \| 0.38 sq mi (0.98 km2) row 14 : kenmore \| king \| 21,280 \| 20,460 \| 6.15 sq mi (15.9 km2) row 15 : lake stevens \| snohomish \| 29,104 \| 28,069 \| 8.88 sq mi (23.0 km2) row 16 : lakewood \| pierce \| 58,852 \| 58,163 \| 17.17 sq mi (44.5 km2) row 17 : mesa \| franklin \| 518 \| 489 \| 1.64 sq mi (4.2 km2) row 18 : monroe \| snohomish \| 17,503 \| 17,304 \| 6.05 sq mi (15.7 km2) row 19 : montesano \| grays harbor \| 3,962 \| 3,976 \| 10.41 sq mi (27.0 km2) row 20 : napavine \| lewis \| 1,778 \| 1,766 \| 2.38 sq mi (6.2 km2) row 21 : newport \| pend oreille \| 2,116 \| 2,126 \| 1.07 sq mi (2.8 km2) row 22 : oroville \| okanogan \| 1,698 \| 1,686 \| 1.64 sq mi (4.2 km2) row 23 : pomeroy \| garfield \| 1,422 \| 1,425 \| 1.78 sq mi (4.6 km2) row 24 : port angeles \| clallam \| 19,056 \| 19,038 \| 10.70 sq mi (27.7 km2) row 25 : puyallup \| pierce \| 38,147 \| 37,022 \| 13.93 sq mi (36.1 km2) row 26 : roslyn \| kittitas \| 910 \| 893 \| 4.37 sq mi (11.3 km2) row 27 : sammamish \| king \| 49,069 \| 45,780 \| 18.22 sq mi (47.2 km2) row 28 : shoreline \| king \| 54,352 \| 53,007 \| 11.67 sq mi (30.2 km2) row 29 : snohomish \| snohomish \| 9,275 \| 9,098 \| 3.44 sq mi (8.9 km2) row 30 : stevenson \| skamania \| 1,473 \| 1,465 \| 1.64 sq mi (4.2 km2) row 31 : tenino \| thurston \| 1,724 \| 1,695 \| 1.44 sq mi (3.7 km2) row 32 : wapato \| yakima \| 5,065 \| 4,997 \| 1.17 sq mi (3.0 km2) ] Execute this SQL based on the above table: select name order by population (2010) limit 1	harrington
[ header: location \| town \| output (mw ac) \| modules \| number of arrays row 1 : h. lee dennison building \| hauppauge \| 1.75 \| 7737 \| 24 row 2 : north county complex \| hauppauge \| 0.5 \| 3431 \| 9 row 3 : cohalan court complex \| central islip \| 3.5 \| 15113 \| 27 row 4 : riverhead county center \| riverside \| 3 \| 11536 \| 31 row 5 : brentwood lirr parking lot \| brentwood \| 1 \| 3924 \| 11 row 6 : deer park lirr parking lot \| deer park \| 2.25 \| 3924 \| 39 row 7 : ronkonkoma lir \| ronkonkoma \| 5 \| 20110 \| 44 ] Execute this SQL based on the above table: select count ( location ) where output (mw ac) < 1573	7

input stringlengths 20 5.6k	output stringlengths 0 17.9k
[ header: rank \| bib \| name \| country \| time \| deficit row 1 : None \| 43 \| daniel richardsson \| sweden \| 39:08.5 \| 38.8 row 2 : 4 \| 13 \| iivo niskanen \| finland \| 39:08.7 \| 39 row 3 : 7 \| 31 \| alexander bessmertny \| russia \| 39:37.7 \| +1:08.0 row 4 : 12 \| 33 \| eldar rønning \| norway \| 40:02.8 \| +1:33.1 row 5 : 14 \| 29 \| jens filbrich \| germany \| 40:08.5 \| +1:38.8 row 6 : 15 \| 28 \| lars nelson \| sweden \| 40:08.8 \| +1.39.1 row 7 : 20 \| 41 \| matti heikkinen \| finland \| 40:17.8 \| +1:48.1 row 8 : 22 \| 25 \| curdin perl \| switzerland \| 40:27.8 \| +1:58.1 row 9 : 24 \| 11 \| jonas baumann \| switzerland \| 40.33.2 \| +2:03.5 row 10 : 30 \| 22 \| francesco de fabiani \| italy \| 41:00.8 \| +2:31.1 row 11 : 31 \| 32 \| noah hoffman \| united states \| 41:02.7 \| +2:33.0 row 12 : 35 \| 38 \| devon kershaw \| canada \| 41:17.1 \| +2:47.4 row 13 : 36 \| 27 \| mattia pellegrin \| italy \| 41:20.1 \| +2:50.4 row 14 : 39 \| 39 \| ivan babikov \| canada \| 41:49.2 \| +3:19.5 row 15 : 43 \| 16 \| adrien backscheider \| france \| 42.21.7 \| +3:52.0 row 16 : 46 \| 1 \| sergey mikayelyan \| armenia \| 42:39.1 \| +4:09.4 row 17 : 49 \| 54 \| alexander lasutkin \| belarus \| 42:45.1 \| +4.15.4 row 18 : 51 \| 64 \| peter mlynar \| slovakia \| 42:50.3 \| +4.20.6 row 19 : 54 \| 58 \| yerdos akhmadiy \| kazakhstan \| 43:02.2 \| +4:32.5 row 20 : 58 \| 68 \| martin møller \| denmark \| 43:29.7 \| +5:00.0 row 21 : 59 \| 24 \| michail semenov \| belarus \| 43:36.0 \| +5:06.3 row 22 : 61 \| 59 \| raido rankel \| estonia \| 43:38.9 \| +5:09.2 row 23 : 67 \| 66 \| callum smith \| great britain \| 44:14.7 \| +5:45.0 row 24 : 69 \| 71 \| oleksii kraso \| ukraine \| 44:35.4 \| +6:05.7 row 25 : 74 \| 85 \| sævar birgisson \| iceland \| 45:44.2 \| +7:14.5 row 26 : 78 \| 80 \| milan szabo \| hungary \| 47:01.3 \| +8:31.6 row 27 : 79 \| 83 \| sattar seid \| iran \| 47:16.1 \| +8:46.4 row 28 : 80 \| 86 \| bold byambadorj \| mongolia \| 48:29.6 \| +9:59.9 row 29 : 84 \| 88 \| tucker murphy \| bermuda \| 49:19.9 \| +10:50.2 ] Execute this SQL based on the above table: select count ( name ) where time < 3	0
[ header: week \| date \| opponent \| score \| result \| attendance \| record row 1 : 1 \| thursday, aug 11 \| vs. winnipeg blue \| 35-21 \| loss \| 31837 \| 0-1 row 2 : 2 \| monday, aug 15 \| at edmonton eskimos \| 33-14 \| loss \| 17500 \| 0-2 row 3 : 3 \| saturday, aug 20 \| vs. saskatche \| 27-12 \| win \| 29532 \| 1-2 row 4 : 4 \| monday, aug 22 \| at calgary stampeders \| 26-19 \| win \| None \| 2-2 row 5 : 5 \| monday, aug 29 \| vs. edmonton \| 26-0 \| loss \| 28420 \| 2-3 row 6 : 6 \| thursday, sept 1 \| at winnipeg blue bombers \| 19-14 \| loss \| 18297 \| 2-4 row 7 : 7 \| monday, sept 5 \| at saskatchewan roughrid \| 31-21 \| win \| 14105 \| 3-4 row 8 : 8 \| monday, sept 12 \| vs. calgary stampeders \| 21-21 \| tie \| 27759 \| 3-4-1 row 9 : 9 \| saturday, sept 17 \| vs. winnipeg blue \| 26-14 \| loss \| 30292 \| 3-5-1 row 10 : 10 \| monday, sept 19 \| at edmonton eskimos \| 18-10 \| loss \| None \| 3-6-1 row 11 : 11 \| saturday, sept 24 \| at calgary stampeders \| 28-14 \| loss \| 13000 \| 3-7-1 row 12 : 12 \| thursday, oct 6 \| vs. edmonton \| 21-13 \| win \| 21707 \| 4-7-1 row 13 : 13 \| thursday, oct 13 \| at winnipeg blue bombers \| 49-21 \| loss \| 16773 \| 4-8-1 row 14 : 14 \| saturday, oct 15 \| at saskatchewan roughrid \| 14-14 \| tie \| 7255 \| 4-8-2 row 15 : 15 \| saturday, oct 22 \| vs. calgary stampeders \| 22-10 \| loss \| 29599 \| 4-9-2 row 16 : 16 \| saturday, oct 29 \| vs. saskatche \| 38-0 \| win \| 21114 \| 5-9-2 ] Execute this SQL based on the above table: select opponent where id = ( select id where opponent = 'at edmonton eskimos' ) + 1	vs. saskatchewan roughriders
[ header: name \| profession \| hometown \| term expires \| office row 1 : bill w. burgess \| attorney \| lawton \| 2011 \| None row 2 : ronald h. white, \| medical doctor \| oklahoma city \| 2012 \| None row 3 : william stuart price \| businessman \| tulsa \| 2013 \| None row 4 : joseph l. parker \| businessman \| tulsa \| 2014 \| chair row 5 : julie carson \| attorney \| claremore \| 2015 \| vice chair row 6 : marlin "ike" glass \| businessman \| newkirk \| 2016 \| secretary row 7 : james d. "jimmy \| banker \| leedy \| 2017 \| assistant secretary row 8 : mike turpen \| attorney \| oklahoma city \| 2018 \| None row 9 : john massey \| banker \| durant \| 2019 \| None ] Execute this SQL based on the above table: select profession order by term expires limit 1	attorney
[ header: date \| opponent \| venue \| result \| attendance \| scorers row 1 : 15 august 1998 \| wolverhampton wanderers \| h \| 0-2 \| 7521 \| None row 2 : 29 august 1998 \| grimsby town \| h \| 0-0 \| 5587 \| None row 3 : 31 august 1998 \| barnsley \| a \| 0-1 \| 15328 \| None row 4 : 6 september 1998 \| portsmouth \| h \| 3-0 \| 6626 \| marsh, windass (2, 1 pen) row 5 : 9 september 1998 \| swindon town \| a \| 1-4 \| 8305 \| banger row 6 : 19 september 1998 \| sunderland \| a \| 0-7 \| 34567 \| None row 7 : 26 september 1998 \| queens park rangers \| h \| 4-1 \| 7489 \| beauchamp, murphy, thom row 8 : 10 october 1998 \| tranmere rovers \| h \| 1-2 \| 5862 \| windass row 9 : 17 october 1998 \| bolton wanderers \| a \| 1-1 \| 17064 \| thomson row 10 : 31 october 1998 \| crewe alexandra \| h \| 1-1 \| 5607 \| windass row 11 : 21 november 1998 \| port vale \| h \| 2-1 \| 5964 \| windass (pen), powell row 12 : 5 december 1998 \| bradford city \| h \| 0-1 \| 5969 \| None row 13 : 19 december 1998 \| stockport county \| a \| 0-2 \| 6500 \| None row 14 : 28 december 1998 \| portsmouth \| a \| 2-2 \| 12604 \| banger (2) row 15 : 9 january 1999 \| bristol city \| h \| 0-0 \| 9434 \| None row 16 : 30 january 1999 \| barnsley \| h \| 1-0 \| 6174 \| windass row 17 : 6 february 1999 \| wolverhampton wanderers \| a \| 1-1 \| 20811 \| windass row 18 : 13 february 1999 \| swindon town \| h \| 2-0 \| 8179 \| windass (2, 1 pen) row 19 : 27 february 1999 \| sunderland \| h \| 0-0 \| 9044 \| None row 20 : 3 march 1999 \| queens park rangers \| a \| 0-1 \| 9040 \| None row 21 : 9 march 1999 \| huddersfield town \| h \| 2-2 \| 6034 \| cook, beauchamp row 22 : 13 march 1999 \| watford \| h \| 0-0 \| 8137 \| None row 23 : 20 march 1999 \| crewe alexandra \| a \| 1-3 \| 4791 \| thomson row 24 : 26 march 1999 \| sheffield united \| a \| 2-1 \| 14115 \| thomson, banger row 25 : 3 april 1999 \| bolton wanderers \| h \| 0-0 \| 7547 \| None row 26 : 5 april 1999 \| tranmere rovers \| a \| 2-2 \| 7837 \| weatherstone, gilchrist row 27 : 17 april 1999 \| port vale \| a \| 0-1 \| 7393 \| None row 28 : 24 april 1999 \| norwich city \| h \| 2-4 \| 7345 \| wilsterman, francis row 29 : 1 may 1999 \| bradford city \| a \| 0-0 \| 15064 \| None row 30 : 9 may 1999 \| stockport county \| h \| 5-0 \| 6830 \| gilchrist, powell, beauch ] Execute this SQL based on the above table: select abs ( ( select attendance where date = 9 order by scorers limit 1 ) - ( select attendance where date = 1 order by scorers desc limit 1 ) )	28393.0
[ header: number \| builder \| type \| date \| works number \| notes row 1 : 51 \| baldwin locomotive works \| ds4-4-750 \| 1949 \| 74408 \| acquired new 1949, retired 1970/wrecke row 2 : 52 \| baldwin locomotive works \| ds4-4-750 \| 1949 \| 74409 \| acquired new 1949, retired in 1970 and scrapped row 3 : 53 \| baldwin locomotive works \| ds4-4-1000 \| 1949 \| 74193 \| ex-pan american engineering w8380; row 4 : 54 \| baldwin locomotive works \| s-12 \| 1952/1953 \| 75823 \| ex-nw (3307); n row 5 : 55 \| baldwin locomotive works \| rs-12 \| 1955 \| 76024 \| decorated for the united states bicentennial row 6 : 56 \| baldwin locomotive works \| rs-12 \| 1955 \| 76105 \| nee mr 33, acquired row 7 : 57 \| baldwin locomotive works \| s-12 \| 1953 \| 75914 \| nee sp 1539, row 8 : 61 \| american locomotive works \| rs-11 \| 1979 \| None \| former sp. status unknown row 9 : 62 \| american locomotive works \| rs-11 \| 1979 \| None \| former sp. status unknown row 10 : 63 \| american locomotive works \| rs-11 \| 1979 \| None \| former sp. sold to nv row 11 : 64 \| electro-motive diesel \| gp9m \| 1987 \| None \| former sp # 3411. operational and in row 12 : 65 \| electro-motive diesel \| gp9m \| 1987 \| None \| former sp # 3412. operational row 13 : 66 \| electro-motive diesel \| gp9m \| 1956 \| None \| former c&o # 6145. acquired row 14 : 67 \| electro-motive diesel \| gp9m \| 6/1954 \| 19554 \| built as bangor and aroosto row 15 : m-80 \| mack \| railbus \| 1923 \| None \| purchased 1925. wrecked twice: in 1957 row 16 : m-100 \| edwards rail car company \| motor car \| 1925 \| None \| acquired from moorhead & north fork row 17 : m-200 \| ss&iw \| motor car \| 1927 \| None \| ex-trc #22; n row 18 : m-300 \| american car and foundry company \| motor car \| 1935 \| None \| m-300 at fort bragg ex ] Execute this SQL based on the above table: select count ( * ) where type = 'rs-11'	3
[ header: # \| name \| took office \| left office \| party row 1 : 1 \| nejat konuk (2nd time \| 15 november 1983 \| 19 july 1985 \| national unity party row 2 : 2 \| dervis eroglu (1st time \| 19 july 1985 \| 1 january 1994 \| national unity party row 3 : 3 \| hakkı atun \| 1 january 1994 \| 16 august 1996 \| democratic party row 4 : 2 \| dervis eroglu (2nd time) \| 16 august 1996 \| 13 january 2004 \| national unity party row 5 : 4 \| mehmet ali talat \| 13 january 2004 \| 26 april 2005 \| republican turkish party row 6 : 5 \| ferdi sabit soyer \| 26 april 2005 \| 5 may 2009 \| republican turkish party row 7 : 2 \| dervis eroglu (3rd time \| 5 may 2009 \| 23 april 2010 \| national unity party row 8 : None \| huseyin ozgurgun \| 23 april 2010 \| 17 may 2010 \| national unity party row 9 : 6 \| irsen kucuk \| 17 may 2010 \| 13 june 2013 \| national unity party row 10 : 7 \| sibel siber \| 13 june 2013 \| 2 september 2013 \| republican turkish party row 11 : 8 \| ozkan yorgancıo \| 2 september 2013 \| incumbent \| republican turkish party ] Execute this SQL based on the above table: select took office where # = 1	15 november 1983
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| cuba \| 4 \| 3 \| 2 \| 9 row 2 : 2 \| canada \| 4 \| 2 \| 1 \| 7 row 3 : 3 \| united states \| 2 \| 0 \| 2 \| 4 row 4 : 4 \| mexico \| 1 \| 1 \| 0 \| 2 row 5 : 5 \| ecuador \| 1 \| 0 \| 0 \| 1 row 6 : 6 \| argentina \| 0 \| 4 \| 3 \| 7 row 7 : 7 \| brazil \| 0 \| 2 \| 2 \| 4 row 8 : 8 \| chile \| 0 \| 0 \| 1 \| 1 row 9 : 8 \| venezuela \| 0 \| 0 \| 1 \| 1 row 10 : total \| total \| 12 \| 12 \| 12 \| 36 ] Execute this SQL based on the above table: select max ( nation ) where nation = 'brazil'	brazil
[ header: year \| title \| peak chart positions ger \| label \| artist row 1 : 1981 \| savoir faire \| None \| capitol \| mink deville row 2 : 1993 \| spanish stroll 1977-1987 \| None \| disky, raven \| mink deville row 3 : 1995 \| les inoubliables de willy deville \| None \| wagram \| willy deville row 4 : 1996 \| love & emotion: the atlantic years \| 54 \| atlantic \| mink deville row 5 : 1996 \| mink/willy deville greatest hits \| None \| emi \| mink deville row 6 : 1996 \| spanish stroll \| None \| disky \| mink deville row 7 : 1996 \| best of willy deville \| None \| arcade \| willy deville row 8 : 1997 \| his greatest hits \| None \| arcade \| mink deville row 9 : 1997 \| premium gold collection \| None \| emi \| mink deville row 10 : 1997 \| the best of mink deville \| None \| emi \| mink deville row 11 : 1999 \| collection legende \| None \| wagram \| willy deville row 12 : 2001 \| cadillac walk: the mink de \| None \| capitol \| mink deville row 13 : 2003 \| greatest hits \| None \| emi \| mink deville row 14 : 2005 \| mink deville \| None \| disky \| mink deville row 15 : 2009 \| introducing willy deville \| None \| edel \| willy deville ] Execute this SQL based on the above table: select year order by julianday ( label ) - julianday ( artist ) desc limit 1	1981
[ header: version \| length \| album \| remixed by \| year \| comment row 1 : album/single version \| 4:30 \| avant que l'ombre \| None \| 2005 \| see the previous sections row 2 : radio edit \| 3:55 \| None \| None \| 2005 \| the musical introduction is almost fully deleted, as well row 3 : instrumental \| 4:32 \| None \| laurent boutonnat \| 2005 \| this instrumental version is identical to the album version, row 4 : the martyr's remix \| 5:20 \| None \| y-front \| 2005 \| this version contains all the lyrics of the album version row 5 : mother f... dub mix \| 7:50 \| None \| joachim garraud \| 2005 \| all the lyrics from the original version are deleted, row 6 : mother f... vocal club mix \| 8:30 \| None \| joachim garraud \| 2005 \| devoted to the nightclubs, this techno row 7 : music video \| 5:02 \| music videos iv \| None \| 2005 \| None row 8 : live version (recorded in 2006) \| 6:42 (audio) 8:18 ( \| avant que l'ombre... a \| None \| 2006 \| this version is similar to the album one, with ] Execute this SQL based on the above table: select count ( year ) where remixed by = 'None' and comment = 'devoted to the nightclubs, this techno version has a musical introduction which lasts about four minutes, then farmer almost sings a cappella'	0
[ header: league \| league \| position \| teams \| matches \| win \| lose row 1 : v1.league \| 3rd (2000-01) \| 8th \| 8 \| 14 \| 0 \| 14 row 2 : v1.league \| 4th (2001-02) \| 7th \| 7 \| 12 \| 1 \| 11 row 3 : v1.league \| 5th (2002-03) \| 3rd \| 8 \| 14 \| 9 \| 5 row 4 : v1.league \| 6th (2003-04) \| champion \| 7 \| 12 \| 11 \| 1 row 5 : v1.league \| 7th (2004-05) \| 3rd \| 8 \| 14 \| 10 \| 4 row 6 : v1.league \| 8th (2005-06) \| 4th \| 8 \| 14 \| 8 \| 6 row 7 : v・challenge \| 2006-07 \| 6th \| 8 \| 14 \| 5 \| 9 row 8 : v・challenge \| 2007-08 \| 8th \| 8 \| 14 \| 1 \| 13 row 9 : v・challenge \| 2008-09 \| 7th \| 10 \| 18 \| 8 \| 10 row 10 : v・challenge \| 2009-10 \| 5th \| 12 \| 16 \| 8 \| 8 row 11 : v・challenge \| 2010-11 \| 5th \| 12 \| 18 \| 11 \| 7 row 12 : v・challenge \| 2011-12 \| 3rd \| 12 \| 22 \| 16 \| 6 row 13 : v・challenge \| 2012-13 \| 5th \| 10 \| 18 \| 9 \| 9 ] Execute this SQL based on the above table: select league where position = '3rd'	v1.league, v1.league, v・challenge
[ header: terminal \| operator \| depth (m) \| berths \| quay length (m) \| quay cranes \| area (m2) \| capacity (kteus) row 1 : terminal 1 (ct1) \| mtl \| 14 \| 1 \| None \| 4 \| None \| None row 2 : terminal 2 (ct2) \| mtl \| 14 \| 1 \| None \| 5 \| None \| None row 3 : terminal 3 (ct3) \| dpi \| 14 \| 1 \| 305 \| 6 \| 167000 \| >1,200 row 4 : terminal 4 (ct4) \| hit \| 12.5 \| 3 \| None \| 8 \| None \| None row 5 : terminal 5 (ct5) \| mtl \| 14 \| 1 \| None \| 4 \| None \| None row 6 : terminal 6 (ct6) \| hit \| 12.5-15.5 \| 3 \| None \| 11 \| None \| None row 7 : terminal 7 (ct7) \| hit \| 15.5 \| 4 \| None \| 15 \| None \| None row 8 : terminal 8 east (ct8e) \| hit/cosco \| 15.5 \| 2 \| 640 \| 9 \| 300000 \| 1800 row 9 : terminal 8 west (ct8w) \| act \| 15.5 \| 2 \| 740 \| 8 \| 285000 \| >2,000 row 10 : terminal 9 north (ct9n) \| hit \| 15.5 \| 2 \| 700 \| 9 \| 190000 \| >2,600 (n&s) row 11 : terminal 9 south (ct9s) \| mtl \| 15.5 \| 4 \| 1240 \| 13 \| 490000 \| None ] Execute this SQL based on the above table: select terminal where operator = 'hit' and berths < 4	terminal 4 (ct4), terminal 6 (ct6), terminal 9 north (ct9n)
[ header: date \| venue \| opponent \| result \| tournament \| scored row 1 : 10 february 2008 \| craven park \| st. helens \| 24-22 \| super league xiii \| 1 row 2 : 24 march 2008 \| jjb stadium \| wigan warriors \| 18-12 \| super league xiii \| 1 row 3 : 13 april 2008 \| craven park \| bradford bulls \| 20-18 \| super league xiii \| 1 row 4 : 21 june 2008 \| craven park \| wakefield trinity wildcats \| 18-26 \| super league xiii \| 1 row 5 : 8 march 2009 \| craven park \| wakefield trinity wildcats \| 31-18 \| super league xiv \| 1 row 6 : 15 march 2009 \| craven park \| crusaders \| 48-18 \| super league xiv \| 3 row 7 : 3 may 2009 \| murrayfield stadium \| warrington wolves \| 28-36 \| super league xiv \| 1 row 8 : 20 june 2009 \| brewery field \| crusaders \| 18-32 \| super league xiv \| 2 row 9 : 21 august 2009 \| the willows \| salford city reds \| 10-14 \| super league xiv \| 1 row 10 : 5 september 2009 \| craven park \| warrington wolves \| 40-16 \| super league xiv \| 3 row 11 : 12 september 2009 \| belle vue \| wakefield trinity wildcats \| 24-10 \| super league xiv \| 1 row 12 : 7 february 2010 \| craven park \| salford city reds \| 30-12 \| super league xv \| 1 row 13 : 16 may 2010 \| craven park \| crusaders \| 54-10 \| super league xv \| 2 row 14 : 21 may 2010 \| knowsley road \| st. helens \| 68-12 \| super league xv \| 1 row 15 : 20 june 2010 \| craven park \| harlequins rl \| 42-6 \| super league xv \| 2 row 16 : 25 june 2010 \| galpharm stadium \| huddersfield giants \| 16-16 \| super league xv \| 1 row 17 : 4 july 2010 \| belle vue \| wakefield trinity wildcats \| 14-46 \| super league xv \| 1 row 18 : 15 july 2010 \| kc stadium \| hull \| 20-16 \| super league xv \| 1 row 19 : 24 july 2010 \| craven park \| bradford bulls \| 49-24 \| super league xv \| 2 row 20 : 15 august 2010 \| the willows \| salford city reds \| 18-44 \| super league xv \| 2 row 21 : 13 february 2011 \| millennium stadium \| hull \| 22-34 \| super league xv \| 1 row 22 : 20 february 2011 \| halliwell jones stadium \| warrington wolves \| 24-22 \| super league \| 2 row 23 : 7 march 2011 \| the jungle \| castleford tigers \| 27-14 \| super league \| 1 row 24 : 25 june 2011 \| twickenham stoop \| harlequins rl \| 0-34 \| super league \| 1 ] Execute this SQL based on the above table: select venue where scored < ( select scored where venue = 'brewery field' ) order by scored desc limit 1	craven park
[ 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 count ( * ) ( select notes group by notes having count ( * ) = 2 )	0
[ header: rank \| name \| nationality \| time \| notes row 1 : None \| alberto garcia \| spain \| 7:43.89 \| cr row 2 : None \| antonio david jime \| spain \| 7:46.49 \| pb row 3 : None \| jesus espana \| spain \| 7:48.08 \| pb row 4 : None \| john mayock \| great britain \| 7:48.08 \| None row 5 : 5 \| michael buchleitner \| austria \| 7:54.39 \| sb row 6 : 6 \| mohammed mourhit \| belgium \| 7:59.79 \| None row 7 : 7 \| sergey ivanov \| russia \| 8:02.98 \| None row 8 : 8 \| mindaugas pukstas \| lithuania \| 8:03.21 \| pb row 9 : 9 \| irba lakhal \| france \| 8:03.38 \| None row 10 : 10 \| joakim johansson \| denmark \| 8:06.47 \| None row 11 : 11 \| harald steindorfer \| austria \| 8:09.21 \| None row 12 : 12 \| ferdinando vicari \| italy \| 8:17.46 \| None row 13 : 13 \| martin steinbauer \| austria \| 8:22.06 \| None row 14 : 14 \| christos papapetrou \| cyprus \| 8:30.59 \| None ] Execute this SQL based on the above table: select count ( notes ) where rank >= 5	2
[ header: midwest division v t e \| w \| l \| pct \| gb \| home \| road \| div row 1 : y-denver nuggets \| 50 \| 32 \| 0.61 \| None \| 36-5 \| 14-27 \| 15-5 row 2 : x-detroit pistons \| 44 \| 38 \| 0.537 \| 6 \| 30-11 \| 14-27 \| 12-8 row 3 : x-chicago bulls \| 44 \| 38 \| 0.537 \| 6 \| 31-10 \| 13-28 \| 10-10 row 4 : kansas city kings \| 40 \| 42 \| 0.488 \| 10 \| 28-13 \| 12-29 \| 7-13 row 5 : indiana pacers \| 36 \| 46 \| 0.439 \| 14 \| 25-16 \| 11-30 \| 9-11 row 6 : milwaukee bucks \| 30 \| 52 \| 0.366 \| 20 \| 24-17 \| 6-35 \| 7-13 ] Execute this SQL based on the above table: select gb where road = 14 - 1	6.0
[ header: rank \| views \| closed \| item row 1 : 1 \| 1319214 \| 10 july 2013 \| a printer which was stated to be faulty row 2 : 2 \| 1072893 \| 3 june 2006 \| wellington hurricanes player tana um row 3 : 3 \| 810802 \| 18 june 2009 \| mike whittaker (mik row 4 : 4 \| 459420 \| 1 august 2012 \| the implosion of radio network house on 5 row 5 : 5 \| 355889 \| 20 january 2012 \| your tattoo on my bum!! row 6 : 6 \| 384705 \| 24 may 2009 \| buy a tractor and get a 20 row 7 : 7 \| 316350 \| 7 march 2011 \| landscape rocks for sale in chch (follow row 8 : 8 \| 292184 \| 6 may 2010 \| folden 2010 row 9 : 9 \| 276094 \| 8 january 2009 \| jesus christ pita bread row 10 : 10 \| 258775 \| 9 january 2012 \| two days in the studio and advice from n ] Execute this SQL based on the above table: select item where views >= 671	a printer which was stated to be faulty and 'possessed' was listed by nickftward to be on sale. he used quite a lot of humour and sarcasm to describe it, which made the auction more fun. his description: "words cannot express how much i hate this printer. it never works when i need it to - it's like it knows when i have to urgently print something. it randomly decides if it wants to work wirelessly or not. and scanning wirelessly? forget about it! when you first turn it on it will play an endless symphony of sounds that are simply there to fool you into thinking that it might actually do what it's designed to do. don't be fooled. this thing is evil incarnate." the winner of the auction was kornholio, with a winning bid of $280 ($1 reserve price), wellington hurricanes player tana umaga hit team-mate chris masoe with a roxy handbag at the "jolly poacher" bar in christchurch after masoe got into an altercation with a patron. the owner of the bag auctioned it via trademe for $22,750, generating a large media-story and over 1 million page-views before the auction closed, mike whittaker (mikew4) listed his old kelvinator washing machine under the title 'scary washing machine' due to its behaviour when washing. he created a fictional story about how it sucked his shoes, pants, iron and wife into a vortex, beyond which, there are dinosaurs. the pictures he drew of the supposed dinosaurs are being sold as fund-raisers for nz charities. t-shirt company 'mrvintage' has created its own scary washing machine range of men's and women's t-shirts. the washing machine eventually sold for $5,160, the implosion of radio network house on 5 august 2012 was new zealand's first ever controlled building demolition by explosives. like most other buildings in the christchurch central city, radio network house was damaged beyond repair in the 22 february 2011 christchurch earthquake. the right to push the button for the implosion was put up for auction and became the auction with the third highest page views ever. the winning bid was for $26,000 and the consortium of demolition contractors let the child cancer foundation nominate a six-year-old boy from queenstown, your tattoo on my bum!!, buy a tractor and get a 20 acre farm for free, landscape rocks for sale in chch (following the february 2011 christchurch earthquake, there was no shortage of rocks, as whole cliffs had collapsed), folden 2010, jesus christ pita bread, two days in the studio and advice from neil finn
[ header: year \| total \| romanians \| hungarians \| roma row 1 : 1850 \| 4,541 \| 69.3% \| 23.9% \| 6.5% row 2 : 1880 \| 4,636 \| 63.0% \| 30.2% \| None row 3 : 1890 \| 5,499 \| 62.7% \| 31.6% \| None row 4 : 1900 \| 5,553 \| 64.3% \| 29.7% \| None row 5 : 1910 \| 6,234 \| 64.6% \| 30.4% \| None row 6 : 1920 \| 5,887 \| 71.6% \| 27.9% \| None row 7 : 1930 \| 6,456 \| 70.5% \| 22.8% \| 2.6% row 8 : 1941 \| 6,981 \| 78.3% \| 19.4% \| None row 9 : 1956 \| 6,649 \| 74.7% \| 19.0% \| 6.0% row 10 : 1966 \| 6,991 \| 80.9% \| 17.3% \| 1.7% row 11 : 1977 \| 7,089 \| 78.1% \| 16.9% \| 4.9% row 12 : 1992 \| 5,723 \| 74.1% \| 14.2% \| 11.6% row 13 : 2002 \| 5,506 \| 74.4% \| 12.0% \| 13.6% row 14 : 2011 \| 4,574 \| 70.7% \| 11.2% \| 17.9% ] Execute this SQL based on the above table: select roma order by roma asc limit 1702	1.7%, 11.6%, 13.6%, 17.9%, 2.6%, 4.9%, 6.0%, 6.5%
[ header: year \| team \| co-drivers \| car \| class \| laps \| pos. \| class pos. row 1 : 1972 \| ford motor company deutschland \| jochen mass \| ford capri 2600rs \| s 3.0 \| 152 \| dnf \| dnf row 2 : 1973 \| bmw motorsport \| chris amon \| bmw 3.0csl \| t 5.0 \| 160 \| dnf \| dnf row 3 : 1980 \| bmw motorsport gmbh \| hans-georg burger dominique \| bmw m1 \| imsa \| 283 \| 15th \| 5th row 4 : 1981 \| basf cassetten team gs sport \| jean-pierre jarier hel \| bmw m1 \| imsa gtx \| 57 \| dnf \| dnf row 5 : 1982 \| basf cassetten team gs sport \| jean-louis schlesser \| sauber shs c6-ford \| c \| 76 \| dnf \| dnf row 6 : 1985 \| rothmans porsche \| derek bell \| porsche 962c \| c1 \| 367 \| 3rd \| 3rd row 7 : 1986 \| rothmans porsche \| derek bell al holbert \| porsche 962c \| c1 \| 368 \| 1st \| 1st row 8 : 1987 \| rothmans porsche ag \| derek bell al holbert \| porsche 962c \| c1 \| 368 \| 1st \| 1st row 9 : 1988 \| porsche ag \| klaus ludwig dere \| porsche 962c \| c1 \| 394 \| 2nd \| 2nd row 10 : 1989 \| joest racing \| bob wollek \| porsche 962c \| c1 \| 382 \| 3rd \| 3rd row 11 : 1990 \| joest porsche racing \| derek bell frank jelin \| porsche 962c \| c1 \| 350 \| 4th \| 4th row 12 : 1991 \| konrad motorsport \| derek bell frank jelin \| porsche 962c \| c2 \| 347 \| 7th \| 7th row 13 : 1993 \| le mans porsche team \| walter rohrl hurley \| porsche 911 turbo s lm- \| gt \| 79 \| dnf \| dnf row 14 : 1994 \| le mans porsche team joest racing \| thierry boutsen danny \| dauer 962 le mans \| gt1 \| 343 \| 3rd \| 2nd row 15 : 1995 \| porsche kremer racing \| thierry boutsen christoph \| kremer k8 spyder \| wsc \| 289 \| 6th \| 2nd row 16 : 1996 \| porsche ag \| thierry boutsen bob \| porsche 911 gt1 \| gt1 \| 353 \| 2nd \| 1st row 17 : 1997 \| porsche ag \| thierry boutsen bob \| porsche 911 gt1 \| gt1 \| 238 \| dnf \| dnf row 18 : 1998 \| team bmw motorsport \| steve soper tom kristen \| bmw v12 lm \| lmp1 \| 60 \| dnf \| dnf ] Execute this SQL based on the above table: select count ( * ) where class = 'imsa gtx'	0
[ header: year \| company \| number of members affected \| duration of strike \| notes row 1 : 1955 \| southern bell telephone co \| 50000 \| 72 days \| strike was in answer to management's effort to row 2 : 1968 \| at&t \| 200000 \| 18 days \| wage increases to compensate for cost of living, and row 3 : 1971 \| bell system \| 400000 \| 1 week \| cost of living allowance (cola) won for workers row 4 : 1983 \| bell system \| 600000 \| 22 days \| last contract with the bell system before its breakup row 5 : 1986 \| at&t \| 175000 \| 25 days \| cola clause suspended in contract - former bell row 6 : 1989 \| at&t \| 175000 \| None \| child and elder care benefits added to contract. row 7 : 1989 \| nynex \| 175000 \| 17 weeks \| strike was due to major health care cuts by row 8 : 1998 \| us west \| 34000 \| 15 day \| strike was due to mandatory overtime demands and forced pay row 9 : 2000 \| verizon \| 80000 \| 3 weeks \| strike was due to mandatory overtime demands. provisions for row 10 : 2011 \| verizon \| 45000 \| 13 days \| strike was due to major wage and health care cuts row 11 : 2012 \| at&t \| 20000 \| 2 days \| at&t west; californi ] Execute this SQL based on the above table: select company where company in ( 'at&t' , 'at&t' ) order by number of members affected desc limit 1	at&t
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| china \| 41 \| 27 \| 13 \| 81 row 2 : 2 \| russia \| 26 \| 22 \| 34 \| 82 row 3 : 3 \| south korea \| 26 \| 12 \| 17 \| 55 row 4 : 4 \| ukraine \| 23 \| 15 \| 17 \| 55 row 5 : 5 \| japan \| 13 \| 13 \| 21 \| 47 row 6 : 6 \| france \| 8 \| 8 \| 4 \| 20 row 7 : 7 \| great britain \| 8 \| 3 \| 6 \| 17 row 8 : 8 \| united states \| 5 \| 13 \| 18 \| 36 row 9 : 9 \| north korea \| 3 \| 8 \| 3 \| 14 row 10 : 10 \| poland \| 3 \| 4 \| 3 \| 10 row 11 : 11 \| chinese taipei \| 3 \| 3 \| 5 \| 11 row 12 : 12 \| belarus \| 3 \| 3 \| 4 \| 10 row 13 : 13 \| germany \| 3 \| 2 \| 8 \| 13 row 14 : 14 \| hungary \| 3 \| 2 \| 7 \| 12 row 15 : 15 \| czech republic \| 3 \| 0 \| 3 \| 6 row 16 : 16 \| australia \| 2 \| 5 \| 5 \| 12 row 17 : 17 \| italy \| 2 \| 5 \| 5 \| 12 row 18 : 18 \| kazakhstan \| 2 \| 4 \| 0 \| 6 row 19 : 19 \| south africa \| 2 \| 1 \| 2 \| 5 row 20 : 20 \| uzbekistan \| 2 \| 0 \| 1 \| 3 row 21 : 21 \| spain \| 1 \| 4 \| 8 \| 13 row 22 : 22 \| brazil \| 1 \| 2 \| 8 \| 11 row 23 : 23 \| romania \| 1 \| 2 \| 4 \| 7 row 24 : 24 \| netherlands \| 1 \| 1 \| 2 \| 4 row 25 : 25 \| morocco \| 1 \| 1 \| 1 \| 3 row 26 : 25 \| serbia and montenegro \| 1 \| 1 \| 1 \| 3 row 27 : 27 \| latvia \| 1 \| 0 \| 0 \| 1 row 28 : 27 \| moldova \| 1 \| 0 \| 0 \| 1 row 29 : 29 \| mexico \| 0 \| 3 \| 2 \| 5 row 30 : 30 \| finland \| 0 \| 3 \| 1 \| 4 row 31 : 32 \| iran \| 0 \| 2 \| 2 \| 4 row 32 : 33 \| slovenia \| 0 \| 2 \| 0 \| 2 row 33 : 33 \| turkey \| 0 \| 2 \| 0 \| 2 row 34 : 35 \| canada \| 0 \| 1 \| 2 \| 3 row 35 : 35 \| switzerland \| 0 \| 1 \| 2 \| 3 row 36 : 35 \| estonia \| 0 \| 1 \| 2 \| 3 row 37 : 38 \| cuba \| 0 \| 1 \| 1 \| 2 row 38 : 38 \| ireland \| 0 \| 1 \| 1 \| 2 row 39 : 40 \| denmark \| 0 \| 1 \| 0 \| 1 row 40 : 40 \| uganda \| 0 \| 1 \| 0 \| 1 row 41 : 42 \| croatia \| 0 \| 0 \| 3 \| 3 row 42 : 42 \| thailand \| 0 \| 0 \| 3 \| 3 row 43 : 44 \| israel \| 0 \| 0 \| 2 \| 2 row 44 : 45 \| armenia \| 0 \| 0 \| 1 \| 1 row 45 : 45 \| jamaica \| 0 \| 0 \| 1 \| 1 row 46 : 45 \| mongolia \| 0 \| 0 \| 1 \| 1 row 47 : 45 \| malaysia \| 0 \| 0 \| 1 \| 1 row 48 : 45 \| austria \| 0 \| 0 \| 1 \| 1 row 49 : 45 \| greece \| 0 \| 0 \| 1 \| 1 row 50 : 45 \| cyprus \| 0 \| 0 \| 1 \| 1 row 51 : 45 \| bahamas \| 0 \| 0 \| 1 \| 1 row 52 : 45 \| bosnia and herzegovin \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select ( select count ( nation ) where bronze = 3 ) - ( select count ( nation ) where bronze = 3 )	0
[ header: # \| date \| winner \| score \| location \| notes row 1 : 47 \| december 31, 1971 \| west \| 17-13 \| san francisco, ca \| None row 2 : 48 \| december 30, 1972 \| east \| 9-3 \| san francisco, ca \| None row 3 : 49 \| december 29, 1973 \| east \| 35-7 \| san francisco, ca \| None row 4 : 50 \| december 28, 1974 \| east \| 16-14 \| stanford, ca \| None row 5 : 51 \| january 3, 1976 \| west \| 21-14 \| stanford, ca \| None row 6 : 53 \| december 31, 1977 \| west \| 23-3 \| stanford, ca \| None row 7 : 54 \| january 6, 1979 \| east \| 56-17 \| stanford, ca \| None row 8 : 56 \| january 10, 1981 \| east \| 21-3 \| stanford, ca \| None row 9 : 57 \| january 9, 1982 \| west \| 20-13 \| stanford, ca \| None row 10 : 58 \| january 15, 1983 \| east \| 26-25 \| stanford, ca \| None row 11 : 59 \| january 7, 1984 \| east \| 27-19 \| stanford, ca \| None row 12 : 60 \| january 5, 1985 \| west \| 21-10 \| stanford, ca \| None row 13 : 61 \| january 11, 1986 \| east \| 18-7 \| stanford, ca \| None row 14 : 62 \| january 10, 1987 \| west \| 24-21 \| stanford, ca \| None row 15 : 64 \| january 15, 1989 \| east \| 24-6 \| stanford, ca \| None row 16 : 65 \| january 21, 1990 \| west \| 22-21 \| stanford, ca \| None row 17 : 66 \| january 26, 1991 \| west \| 24-21 \| stanford, ca \| None row 18 : 67 \| january 19, 1992 \| west \| 14-6 \| stanford, ca \| None row 19 : 68 \| january 24, 1993 \| east \| 31-17 \| stanford, ca \| None row 20 : 69 \| january 15, 1994 \| west \| 29-28 \| stanford, ca \| None row 21 : 70 \| january 14, 1995 \| west \| 30-28 \| stanford, ca \| None row 22 : 73 \| january 10, 1998 \| west \| 24-7 \| stanford, ca \| None row 23 : 75 \| january 15, 2000 \| east \| 35-21 \| stanford, ca \| None row 24 : 77 \| january 12, 2002 \| west \| 21-13 \| san francisco, ca \| None row 25 : 78 \| january 11, 2003 \| east \| 20-17 \| san francisco, ca \| None row 26 : 79 \| january 10, 2004 \| west \| 28-7 \| san francisco, ca \| None row 27 : 80 \| january 15, 2005 \| east \| 45-27 \| san francisco, ca \| None row 28 : 81 \| january 21, 2006 \| west \| 35-31 \| san antonio, \| None row 29 : 82 \| january 20, 2007 \| west \| 21-3 \| houston, tx \| None row 30 : 83 \| january 19, 2008 \| west \| 31-13 \| houston, tx \| None row 31 : 84 \| january 17, 2009 \| east \| 24-19 \| houston, tx \| None row 32 : 85 \| january 23, 2010 \| east \| 13-10 \| orlando, fl \| notes row 33 : 86 \| january 22, 2011 \| east \| 25-8 \| orlando, fl \| notes row 34 : 87 \| january 21, 2012 \| west \| 24-17 \| st. petersburg, f \| notes row 35 : 89 \| january 18, 2014 \| east \| 23-13 \| st. petersburg, f \| notes ] Execute this SQL based on the above table: select count ( distinct date )	35
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| great britain (gbr) \| 2 \| 1 \| 2 \| 5 row 2 : 2 \| brazil (bra) \| 2 \| 0 \| 0 \| 2 row 3 : 3 \| spain (esp) \| 1 \| 2 \| 0 \| 3 row 4 : 4 \| austria (aut) \| 1 \| 1 \| 0 \| 2 row 5 : 4 \| greece (gre) \| 1 \| 1 \| 0 \| 2 row 6 : 4 \| united states (usa) \| 1 \| 1 \| 0 \| 2 row 7 : 7 \| france (fra) \| 1 \| 0 \| 1 \| 2 row 8 : 7 \| israel (isr) \| 1 \| 0 \| 0 \| 1 row 9 : 7 \| norway (nor) \| 1 \| 0 \| 0 \| 1 row 10 : 10 \| ukraine (ukr) \| 0 \| 2 \| 0 \| 2 row 11 : 11 \| china (chn) \| 0 \| 1 \| 0 \| 1 row 12 : 11 \| czech republic (cze) \| 0 \| 1 \| 0 \| 1 row 13 : 11 \| canada (can) \| 0 \| 1 \| 0 \| 1 row 14 : 14 \| denmark (den) \| 0 \| 0 \| 2 \| 2 row 15 : 15 \| argentina (arg) \| 0 \| 0 \| 1 \| 1 row 16 : 15 \| italy (ita) \| 0 \| 0 \| 1 \| 1 row 17 : 15 \| japan (jpn) \| 0 \| 0 \| 1 \| 1 row 18 : 15 \| poland (pol) \| 0 \| 0 \| 1 \| 1 row 19 : 15 \| slovenia (slo) \| 0 \| 0 \| 1 \| 1 row 20 : 15 \| sweden (swe) \| 0 \| 0 \| 1 \| 1 row 21 : total \| None \| 11 \| 11 \| 11 \| 33 ] Execute this SQL based on the above table: select rank order by total asc limit 1	7
[ header: denomination \| 1870 \| 1880 \| 1890 \| 1900 \| 1910 \| 1920 \| 1930 \| 1941 \| 1949 \| 2001 \| 2011 row 1 : roman catholic \| 72.3% \| 69.4% \| 64.7% \| 60.7% \| 59.8% \| 59.1% \| 60.7% \| 63.1% \| 69.8% \| 45.8% \| 28.9% row 2 : calvinist \| 4.8% \| 6.1% \| 7.4% \| 8.9% \| 9.9% \| 10.9% \| 12.1% \| 13.6% \| 15.5% \| 12.6% \| 8.5% row 3 : lutheran \| 5.3% \| 5.5% \| 5.6% \| 5.3% \| 4.9% \| 4.8% \| 5% \| 5.3% \| 5.4% \| 2.6% \| 1.7% row 4 : jewish \| 16.6% \| 19.7% \| 21% \| 23.6% \| 23.1% \| 23.2% \| 20.3% \| 15.8% \| 6.4% \| 0.5% \| 0.4% row 5 : others \| 1% \| 1.3% \| 1.3% \| 1.5% \| 2.2% \| 2% \| 1.9% \| 1.6% \| 1.4% \| 3.9% \| 3.5% row 6 : without religion \| 0% \| 0% \| 0% \| 0% \| 0% \| 0% \| 0% \| 0% \| 0% \| 19.5% \| 22.9% row 7 : no answer \| 0% \| 0% \| 0% \| 0% \| 0% \| 0% \| 0% \| 0% \| 0% \| 15.1% \| 34.1% ] Execute this SQL based on the above table: select 1941 where 1870 = ( select 1870 where 1941 = '0%' ) + 1	1.6%
[ header: poll source \| date(s) administered \| sample size \| margin of error \| andrew cuomo (d) \| rob astorino (r) \| other \| undecided row 1 : siena \| march 16-20, 2014 \| 813 \| ± 3.4% \| 61% \| 26% \| None \| 13% row 2 : marist \| february 28-march 3, 2014 \| 658 \| ± 3.8% \| 65% \| 25% \| None \| 10% row 3 : quinnipiac \| february 6-10, 2014 \| 1488 \| ± 2.5% \| 58% \| 24% \| 2% \| 16% row 4 : siena \| january 12-16, 2014 \| 808 \| ± 3.4% \| 67% \| 19% \| 3% \| 11% row 5 : quinnipiac \| november 20-24, 2013 \| 1337 \| ± 2.7% \| 56% \| 25% \| 2% \| 17% row 6 : marist \| november 18-20, 2013 \| 675 \| ± 3.8% \| 65% \| 23% \| None \| 12% row 7 : siena \| november 11-14, 2013 \| 806 \| ± 3.5% \| 63% \| 24% \| None \| 13% ] Execute this SQL based on the above table: select min ( sample size ) where andrew cuomo (d) = '61%'	813.0
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| belgium \| 6 \| 0 \| 3 \| 9 row 2 : 2= \| germany \| 2 \| 2 \| 2 \| 7 row 3 : 2= \| netherlands \| 2 \| 2 \| 2 \| 6 row 4 : 4 \| turkey \| 2 \| 0 \| 1 \| 3 row 5 : 5 \| france \| 1 \| 3 \| 6 \| 10 row 6 : 6 \| belarus \| 1 \| 2 \| 1 \| 4 row 7 : 7 \| georgia \| 1 \| 1 \| 0 \| 2 row 8 : 8 \| poland \| 1 \| 0 \| 4 \| 5 row 9 : 9 \| great britain \| 0 \| 2 \| 3 \| 5 row 10 : 10 \| spain \| 0 \| 2 \| 1 \| 3 row 11 : 11 \| austria \| 0 \| 1 \| 1 \| 2 row 12 : 12 \| czech republic \| 0 \| 1 \| 0 \| 1 row 13 : 13 \| russia \| 0 \| 0 \| 2 \| 2 row 14 : 14= \| estonia \| 0 \| 0 \| 1 \| 1 row 15 : 14= \| italy \| 0 \| 0 \| 1 \| 1 row 16 : 14= \| lithuania \| 0 \| 0 \| 1 \| 1 row 17 : 14= \| romania \| 0 \| 0 \| 1 \| 1 row 18 : 14= \| portugal \| 0 \| 0 \| 1 \| 1 row 19 : 14= \| yugoslavia \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select nation where nation != 'lithuania' and silver = ( select silver where nation = 'lithuania' )	belgium, turkey, poland, russia, estonia, italy, romania, portugal, yugoslavia
[ header: season \| winner \| team \| position \| age row 1 : 1932-33 \| carl voss \| detroit red wings \| c \| 25 row 2 : 1933-34 \| russ blinco \| montreal maroons \| c \| 25 row 3 : 1934-35 \| sweeney schriner \| new york americans \| lw \| 22 row 4 : 1936-37 \| syl apps \| toronto maple leafs \| c \| 21 row 5 : 1937-38 \| cully dahlstrom \| chicago black hawks \| c \| 24 row 6 : 1939-40 \| kilby macdonald \| new york rangers \| lw \| 25 row 7 : 1940-41 \| johnny quilty \| montreal canadiens \| c \| 19 row 8 : 1946-47 \| howie meeker \| toronto maple leafs \| rw \| 21 row 9 : 1947-48 \| jim mcfadden \| detroit red wings \| c \| 27 row 10 : 1948-49 \| pentti lund \| new york rangers \| rw \| 22 row 11 : 1949-50 \| jack gelineau \| boston bruins \| g \| 24 row 12 : 1951-52 \| bernie geoffrion \| montreal canadiens \| rw \| 20 row 13 : 1952-53 \| gump worsley \| new york rangers \| g \| 23 row 14 : 1953-54 \| camille henry \| new york rangers \| c \| 20 row 15 : 1961-62 \| bobby rousseau \| montreal canadiens \| rw \| 21 row 16 : 1963-64 \| jacques laperriere \| montreal canadiens \| d \| 21 row 17 : 1964-65 \| roger crozier \| detroit red wings \| g \| 22 row 18 : 1967-68 \| derek sanderson \| boston bruins \| c \| 21 row 19 : 1969-70 \| tony esposito \| chicago black hawks \| g \| 26 row 20 : 1972-73 \| steve vickers \| new york rangers \| lw \| 21 row 21 : 1974-75 \| eric vail \| atlanta flames \| lw \| 20 row 22 : 1975-76 \| bryan trottier \| new york islanders \| c \| 19 row 23 : 1976-77 \| willi plett \| atlanta flames \| rw \| 21 row 24 : 1977-78 \| mike bossy \| new york islanders \| rw \| 20 row 25 : 1982-83 \| steve larmer \| chicago black hawks \| rw \| 21 row 26 : 1983-84 \| tom barrasso \| buffalo sabres \| g \| 18 row 27 : 1984-85 \| mario lemieux \| pittsburgh penguins \| c \| 19 row 28 : 1986-87 \| luc robitaille \| los angeles kings \| lw \| 20 row 29 : 1987-88 \| joe nieuwendyk \| calgary flames \| c \| 21 row 30 : 1992-93 \| teemu selanne \| winnipeg jets \| rw \| 22 row 31 : 1994-95 \| peter forsberg \| quebec nordiques \| c \| 21 row 32 : 1995-96 \| daniel alfredsson \| ottawa senators \| rw \| 22 row 33 : 1997-98 \| sergei samsonov \| boston bruins \| lw \| 19 row 34 : 1998-99 \| chris drury \| colorado avalanche \| c \| 22 row 35 : 2001-02 \| dany heatley \| atlanta thrashers \| rw \| 20 row 36 : 2003-04 \| andrew raycroft \| boston bruins \| g \| 23 ] Execute this SQL based on the above table: select ( select age where team = 'new york rangers' ) > 1171	0
[ header: rank \| hospital \| city \| county \| # beds \| type of hospital row 1 : 4 \| sonoma developmental center \| eldridge \| sonoma \| 1300 \| mental health row 2 : 6 \| fairview developmental center \| costa mesa \| orange \| 1218 \| mental health row 3 : 7 \| porterville developmental center \| porterville \| tulare \| 1210 \| mental health row 4 : 10 \| veterans home of california \| yountville \| napa \| 1100 \| veteran admin row 5 : 11 \| metropolitan state hospital \| norwalk \| los angeles \| 1096 \| mental health row 6 : 12 \| va palo alto health care system \| palo alto \| santa clara \| 967 \| veteran admin row 7 : 13 \| cedars-sinai medical center \| west hollywood \| los angeles \| 952 \| general acute care row 8 : 14 \| loma linda university medica center \| loma linda \| san bernardino \| 822 \| university/teaching row 9 : 15 \| ucla medical center \| los angeles \| los angeles \| 668 \| general acute care row 10 : 18 \| ucsd medical center \| san diego \| san diego \| 594 \| university/teaching row 11 : 19 \| ucsf medical center mount zion \| san francisco \| san francisco \| 579 \| general acute care row 12 : 20 \| ucd medical center \| sacramento \| sacramento \| 577 \| university/teaching row 13 : 23 \| harbor ucla medical center \| torrance \| los angeles \| 553 \| general acute care row 14 : 24 \| mission hospital regional medical center \| mission viejo \| orange \| 552 \| general acute care row 15 : 25 \| alta bates summit medical center \| berkeley \| alameda \| 551 \| general acute care row 16 : 26 \| san francisco general hospital \| san francisco \| san francisco \| 550 \| general acute care row 17 : 27 \| ucsf medical center at parn \| san francisco \| san francisco \| 536 \| general acute care row 18 : 29 \| santa clara valley medical center \| san jose \| santa clara \| 524 \| general acute care row 19 : 30 \| scripps mercy hospital \| san diego \| san diego \| 523 \| general acute care row 20 : 31 \| huntington memorial hospital \| pasadena \| los angeles \| 522 \| general acute care row 21 : 33 \| grossmont hospital \| la mesa \| san diego \| 481 \| general acute care row 22 : 34 \| doctors medical center \| modesto \| stanislaus \| 465 \| general acute care row 23 : 35 \| st. bernardine medical \| san bernardino \| san bernardino \| 463 \| general acute care row 24 : 36 \| uci medical center \| orange \| orange \| 462 \| general acute care row 25 : 37 \| stanford medical center \| stanford \| santa clara \| 460 \| general acute care row 26 : 39 \| methodist hospital \| arcadia \| los angeles \| 455 \| general acute care row 27 : 40 \| providence st. joseph \| burbank \| los angeles \| 455 \| general acute care row 28 : 42 \| agnews developmental center \| san jose \| santa clara \| 450 \| mental health row 29 : 43 \| jewish home \| san francisco \| san francisco \| 450 \| nursing homes row 30 : 44 \| st. joseph hospital orange \| orange \| orange \| 448 \| general acute care row 31 : 45 \| presbyterian intercommunity \| whittier \| los angeles \| 441 \| general acute care ] Execute this SQL based on the above table: select type of hospital where rank = 36 and type of hospital = 'general acute care' intersect select type of hospital where rank = 36 and type of hospital = 'general acute care'	general acute care
[ header: team name \| leagues \| base \| year started \| year ended \| notable riders row 1 : aldershot shots \| national league division three \| tongham greyhound stadium \| 1950 \| 1960 \| None row 2 : bristol bulldogs \| national league, provincial league \| knowle stadium, bristol \| pre-1939 \| 1954 \| phil crump row 3 : cradley heath heathens \| british league \| dudley wood stadium \| 1947 \| 1996 \| listed in article row 4 : crayford kestrels \| british league division two/national league \| crayford stadium, crayford \| 1968 \| 1983 \| None row 5 : fleetwood flyers \| speedway national league division two \| highbury avenue sports stadium, fleetwood \| 1948 \| 1952 \| None row 6 : hackney wick wolves \| speedway national league \| hackney wick stadium \| 1935 \| 1939 \| listed in article row 7 : hackney hawks \| british league \| hackney wick stadium \| 1963 \| 1983 \| listed in article row 8 : hastings saxons \| speedway national league division three \| pilot field, hastings \| 1948 \| 1949 \| None row 9 : hull vikings \| elite league, premier league \| craven park \| 1995 \| 2005 \| listed in article row 10 : leicester stadium \| speedway northern league, speedway southern league \| the stadium, blackbird road, leicester \| 1929 \| 1931 \| cyril "squib" row 11 : leicester hounds \| speedway national league division two \| the stadium, blackbird road, leicester \| 1937 \| 1937 \| wilf plant, lloy row 12 : liverpool chads \| speedway national league division three, speedway national \| stanley stadium, liverpool \| late 1920s \| 1960 \| peter craven row 13 : middlesbrough bears \| northern league, speedway national league \| cleveland park \| 1939 \| 1996 \| listed in article row 14 : milton keynes knights \| None \| groveway greyhound stadium, milton key \| 1978 \| 1992 \| None row 15 : new cross rangers \| speedway national league, speedway provincial league \| new cross stadium \| 1937 \| 1963 \| tom farndon row 16 : newport wasps \| provincial league, british league, national \| hayley stadium \| 1964 (closed 1977, reopened \| 2011 \| None row 17 : nottingham \| southern league, national league \| olympic gardens/white city stadium \| 1930 \| 1938 \| None row 18 : paisley lions \| speedway national league \| love street \| 1975 \| 1976 \| sid and mick sheldrick, row 19 : rayleigh rockets \| speedway provincial league, metropolitan league \| rayleigh weir stadium, ray \| 1949 \| 1973 \| None row 20 : southampton saints \| speedway national league \| banister court stadium, southampton \| 1928 \| 1963 \| None row 21 : sunderland stars \| speedway national league \| sunderland greyhound stadium, east boldon \| 1971 \| 1974 \| None row 22 : trelawny pitbulls \| conference league \| clay country moto parc, st aus \| 2003 \| 2003 \| None row 23 : wembley lions \| southern league, speedway national league \| empire stadium \| 1929 \| 1971 \| listed in article row 24 : west ham hammers \| speedway british league, speedway \| west ham stadium \| 1930 \| 1971 \| listed in article row 25 : white city rebels \| speedway british league \| white city stadium \| 1976 \| 1978 \| gordon kennett, steve row 26 : wimbledon dons \| speedway national league \| wimbledon stadium \| 1929 \| 2005 \| listed in article ] Execute this SQL based on the above table: select count ( leagues )	25
[ header: match \| team \| result points \| match status \| opposition strength \| regional strength \| ranking points row 1 : amplistan vs. bestrudi \| amplistan bestrudia \| 0 3 \| 1.0 1.0 \| 0.50 1.98 \| 0.94 0.94 \| 0 558 row 2 : amplistan vs. bestrudi \| amplistan bestrudia \| 1 1 \| 1.0 1.0 \| 0.50 1.98 \| 0.94 0.94 \| 47 186 row 3 : amplistan vs. bestrudi \| amplistan bestrudia \| 3 0 \| 4.0 4.0 \| 0.50 1.98 \| 0.94 0.94 \| 564 0 row 4 : amplistan vs. bestrudi \| amplistan bestrudia \| 1 2 \| 4.0 4.0 \| 0.50 1.98 \| 0.94 0.94 \| 188 1488 row 5 : amplistan vs. conesto \| amplistan conesto \| 0 3 \| 1.0 1.0 \| 1.61 1.98 \| 0.99 0.99 \| 0 588 row 6 : conesto vs. delphi \| conesto delphiz \| 3 0 \| 2.5 2.5 \| 1.70 1.61 \| 0.96 0.96 \| 1224 0 row 7 : conesto vs. delphi \| conesto delphiz \| 0 3 \| 2.5 2.5 \| 1.70 1.61 \| 0.96 0.96 \| 0 1159 row 8 : conesto vs. amplistan \| conesto amplistan \| 1 2 \| 4.0 4.0 \| 1.98 1.61 \| 0.99 0.99 \| 784 1275 ] Execute this SQL based on the above table: select count ( team ) where match = 'amplistan vs. conesto (friendly) result: 1-2' and team = 'conesto delphiz'	0
[ header: year \| title \| role \| network \| notes row 1 : 2000 \| youth y2k 青春@y2 \| cheng shasha \| None \| None row 2 : 2001 \| the monkey king: quest for the sutra \| purple orchid \| tvb \| None row 3 : 2001 \| 藍寶石的夜空 \| shek po-yi \| tvb \| eason chan's music video row 4 : 2002 \| 一twins零一夜 \| ah sa \| tvb \| music video row 5 : 2003 \| triumph in the skies 衝上雲霄 \| charlene \| tvb \| cameo row 6 : 2003 \| all about boy'z 一起喝采 \| langlang princess \| now.com.hk \| appearance in episode 2 row 7 : 2003 \| 2半3更之困車立 \| ah sa \| now.com.hk \| None row 8 : 2003 \| 愛在陽光下 \| aids patient \| None \| music video produced to support the global anti-aid row 9 : 2004 \| kung fu soccer 功夫足球 \| None \| tvb \| guest star row 10 : 2004 \| sunshine heartbeat 赤沙印記@四葉草.2 \| ah sa \| tvb \| guest star row 11 : 2004 \| 家有寶貝 \| ah sa \| None \| guest star row 12 : 2007 \| colours of love 森之愛情 \| wai-fong / ching- \| tvb \| None row 13 : 2007 \| life off stage \| None \| None \| None row 14 : 2010 \| calling for love! 呼叫大明星 \| chen dexin \| cts \| None row 15 : 2011 \| the legend of swordman 劍俠情緣 \| tang xiaowan / n \| None \| None row 16 : 2012 \| happy marshal 歡樂元帥 \| little dragon girl (xiao long nu) \| None \| None ] Execute this SQL based on the above table: select title where role = 'ah sa'	一twins零一夜, 2半3更之困車立, sunshine heartbeat 赤沙印記@四葉草.2, 家有寶貝
[ header: date \| site \| winning team \| winning team \| losing team \| losing team \| series row 1 : 1959 \| ames \| missouri \| 14 \| iowa state \| 0 \| missouri 30-16-6 row 2 : 1960 \| columbia \| missouri \| 34 \| iowa state \| 8 \| missouri 31-16-6 row 3 : 1962 \| columbia \| missouri \| 21 \| iowa state \| 6 \| missouri 33-16-6 row 4 : 1963 \| ames \| missouri \| 7 \| iowa state \| 0 \| missouri 34-16-6 row 5 : 1964 \| columbia \| missouri \| 10 \| iowa state \| 0 \| missouri 35-16-6 row 6 : 1965 \| ames \| missouri \| 23 \| iowa state \| 7 \| missouri 36-16-6 row 7 : 1967 \| ames \| missouri \| 23 \| iowa state \| 7 \| missouri 37-16-7 row 8 : 1969 \| ames \| missouri \| 40 \| iowa state \| 13 \| missouri 39-16-7 row 9 : 1971 \| ames \| iowa state \| 45 \| missouri \| 17 \| missouri 39-18-7 row 10 : 1973 \| ames \| iowa state \| 17 \| missouri \| 7 \| missouri 40-19-7 row 11 : 1974 \| columbia \| missouri \| 10 \| iowa state \| 7 \| missouri 41-19-7 row 12 : 1976 \| columbia \| iowa state \| 21 \| missouri \| 17 \| missouri 42-20-7 row 13 : 1977 \| ames \| iowa state \| 7 \| missouri \| 0 \| missouri 42-21-7 row 14 : 1978 \| columbia \| missouri \| 26 \| iowa state \| 13 \| missouri 43-21-7 row 15 : 1980 \| columbia \| missouri \| 14 \| iowa state \| 10 \| missouri 45-21-7 row 16 : 1982 \| columbia \| iowa state \| 17 \| missouri \| 17 \| missouri 45-22-8 row 17 : 1983 \| ames \| missouri \| 41 \| iowa state \| 18 \| missouri 46-22-8 row 18 : 1985 \| ames \| missouri \| 28 \| iowa state \| 27 \| missouri 47-22-9 row 19 : 1988 \| columbia \| iowa state \| 21 \| missouri \| 3 \| missouri 48-24-9 row 20 : 1992 \| ames \| iowa state \| 28 \| missouri \| 14 \| missouri 48-28-9 row 21 : 1995 \| columbia \| missouri \| 45 \| iowa state \| 31 \| missouri 51-28-9 row 22 : 1998 \| ames \| #21 missouri \| 35 \| iowa state \| 19 \| missouri 53-29-9 row 23 : 1999 \| columbia \| iowa state \| 24 \| missouri \| 21 \| missouri 53-30-9 row 24 : 2000 \| ames \| iowa state \| 39 \| missouri \| 20 \| missouri 53-31-9 row 25 : 2001 \| columbia \| iowa state \| 20 \| missouri \| 14 \| missouri 53-32-9 row 26 : 2004 \| ames \| missouri \| 17 \| iowa state \| 14 \| missouri 55-33-9 row 27 : 2007 \| columbia \| #13 missouri \| 42 \| iowa state \| 28 \| missouri 57-34-9 row 28 : 2008 \| ames \| #11 missouri \| 52 \| iowa state \| 20 \| missouri 58-34-9 row 29 : 2009 \| columbia \| missouri \| 34 \| iowa state \| 24 \| missouri 59-34-9 row 30 : 2010 \| ames \| #15 missouri \| 14 \| iowa state \| 0 \| missouri 60-34-9 ] Execute this SQL based on the above table: select count ( * ) where winning team >= 50	1
[ 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 count ( score )	8
[ header: year \| title \| role \| notes row 1 : 1991 \| let him have it \| derek bentley \| None row 2 : 1992 \| death and the compass \| alonso zunz \| None row 3 : 1993 \| anchoress \| priest \| None row 4 : 1994 \| shallow grave \| david \| None row 5 : 1996 \| jude \| jude fawley \| None row 6 : 1998 \| elizabeth \| duke of norfolk \| None row 7 : 1998 \| a price above rubies \| sender horowitz \| None row 8 : 1999 \| heart \| gary ellis \| None row 9 : 1999 \| existenz \| seminar leader \| None row 10 : 1999 \| with or without you \| vincent boyd \| None row 11 : 2000 \| gone in 60 seconds \| raymond calitri \| None row 12 : 2000 \| the tyre \| salesman \| short film row 13 : 2001 \| the others \| charles stewart \| None row 14 : 2001 \| the invisible circus \| wolf \| None row 15 : 2001 \| this little piggy \| cabbie \| short film row 16 : 2002 \| 24 hour party people \| boethius \| None row 17 : 2002 \| i am dina \| leo zhukovsky \| None row 18 : 2002 \| revengers tragedy \| vindici \| None row 19 : 2002 \| 28 days later \| major henry west \| None row 20 : 2007 \| the dark is rising \| the rider \| None row 21 : 2008 \| new orleans, mon amour \| dr. henry \| None row 22 : 2009 \| g.i. joe: the \| james mccullen \| None row 23 : 2009 \| amelia \| fred noonan \| None row 24 : 2009 \| the happiness salesman \| salesman \| short film row 25 : 2012 \| song for marion \| james harris \| None row 26 : 2013 \| thor: the dark world \| malekith \| None ] Execute this SQL based on the above table: select role where id = 1	derek bentley
[ header: district \| incumbent \| party \| first elected \| result \| candidates row 1 : virginia 1 \| thomas newton, j \| adams-clay republican \| 1801 \| re-elected \| thomas newton, j row 2 : virginia 2 \| arthur smith \| crawford republican \| 1821 \| retired jacksonian gain \| james trezvant (j) 75. row 3 : virginia 4 \| mark alexander \| crawford republican \| 1819 \| re-elected \| mark alexander (j) row 4 : virginia 5 \| john randolph \| crawford republican \| 1799 1819 \| re-elected \| john randolph (j) 100% row 5 : virginia 6 \| george tucker \| crawford republican \| 1819 \| retired jacksonian gain \| thomas davenport (j) row 6 : virginia 7 \| jabez leftwich \| crawford republican \| 1821 \| lost re-election jacksonia \| nathaniel h. row 7 : virginia 8 \| burwell bassett \| crawford republican \| 1805 1821 \| re-elected \| burwell bassett (j) 95. row 8 : virginia 9 \| andrew stevenson \| crawford republican \| 1821 \| re-elected \| andrew stevenson (j) row 9 : virginia 10 \| william c. rives \| crawford republican \| 1823 \| re-elected \| william c. rives ( row 10 : virginia 11 \| philip p. barbour \| crawford republican \| 1814 (special) \| retired adams gain \| robert taylor ( row 11 : virginia 12 \| robert s. garnett \| crawford republican \| 1817 \| re-elected \| robert s. garnett ( row 12 : virginia 16 \| james stephenson \| federalist \| 1821 \| retired adams gain \| william armstrong (a) 57 row 13 : virginia 17 \| jared williams \| crawford republican \| 1819 \| retired adams gain \| alfred h. powell (a row 14 : virginia 18 \| joseph johnson \| jackson republican \| 1823 \| re-elected \| joseph johnson (j) row 15 : virginia 19 \| william mccoy \| crawford republican \| 1811 \| re-elected \| william mccoy (j row 16 : virginia 20 \| john floyd \| crawford republican \| 1817 \| re-elected \| john floyd (j) 84 ] Execute this SQL based on the above table: select count ( party ) where incumbent is null	0
[ header: date \| opponents \| h/a \| result f-a \| scorers \| attendance row 1 : 27 august 1921 \| everton \| a \| 0-5 \| None \| 30000 row 2 : 29 august 1921 \| west bromwich albion \| h \| 2-3 \| partridge, robinson \| 20000 row 3 : 3 september 1921 \| everton \| h \| 2-1 \| harrison, spence \| 25000 row 4 : 7 september 1921 \| west bromwich albion \| a \| 0-0 \| None \| 15000 row 5 : 10 september 1921 \| chelsea \| a \| 0-0 \| None \| 35000 row 6 : 17 september 1921 \| chelsea \| h \| 0-0 \| None \| 28000 row 7 : 24 september 1921 \| preston north end \| a \| 2-3 \| lochhead, partridge \| 25000 row 8 : 1 october 1921 \| preston north end \| h \| 1-1 \| spence \| 30000 row 9 : 15 october 1921 \| tottenham hotspur \| h \| 2-1 \| sapsford, spence \| 30000 row 10 : 22 october 1921 \| manchester city \| a \| 1-4 \| spence \| 24000 row 11 : 5 november 1921 \| middlesbrough \| h \| 3-5 \| lochhead, sapsford, spence \| 30000 row 12 : 12 november 1921 \| middlesbrough \| a \| 0-2 \| None \| 18000 row 13 : 26 november 1921 \| aston villa \| h \| 1-0 \| henderson \| 33000 row 14 : 3 december 1921 \| bradford city \| a \| 1-2 \| spence \| 15000 row 15 : 10 december 1921 \| bradford city \| h \| 1-1 \| henderson \| 9000 row 16 : 17 december 1921 \| liverpool \| a \| 1-2 \| sapsford \| 40000 row 17 : 24 december 1921 \| liverpool \| h \| 0-0 \| None \| 30000 row 18 : 26 december 1921 \| burnley \| h \| 0-1 \| None \| 15000 row 19 : 2 january 1922 \| sheffield united \| a \| 0-3 \| None \| 18000 row 20 : 14 january 1922 \| newcastle united \| h \| 0-1 \| None \| 20000 row 21 : 21 january 1922 \| sunderland \| a \| 1-2 \| sapsford \| 10000 row 22 : 28 january 1922 \| sunderland \| h \| 3-1 \| lochhead, sapsford, spence \| 18000 row 23 : 11 february 1922 \| huddersfield town \| h \| 1-1 \| spence \| 30000 row 24 : 27 february 1922 \| huddersfield town \| a \| 1-1 \| sapsford \| 30000 row 25 : 11 march 1922 \| arsenal \| h \| 1-0 \| spence \| 30000 row 26 : 18 march 1922 \| blackburn rovers \| h \| 0-1 \| None \| 30000 row 27 : 5 april 1922 \| arsenal \| a \| 1-3 \| lochhead \| 25000 row 28 : 8 april 1922 \| bolton wanderers \| a \| 0-1 \| None \| 28000 row 29 : 15 april 1922 \| oldham athletic \| h \| 0-3 \| None \| 30000 row 30 : 17 april 1922 \| sheffield united \| h \| 3-2 \| harrison, lochhead, partridge \| 28000 row 31 : 22 april 1922 \| oldham athletic \| a \| 1-1 \| lochhead \| 30000 row 32 : 29 april 1922 \| cardiff city \| h \| 1-1 \| partridge \| 18000 ] Execute this SQL based on the above table: select date where id = ( select id where date = '29 august 1921' ) - 1	27 august 1921
[ header: wager \| winner \| loser \| location \| date \| notes row 1 : hair \| psycho clown \| super crazy \| mexico city, distrito federal \| may 29, 2011 \| six man tag team steel cage masks v row 2 : hair \| halloween \| coco rojo \| tlalnepantla de \| july 10, 2011 \| steel cage match, where los perros del row 3 : hair \| psycho clown \| x-fly \| guadalajara, \| july 31, 2011 \| six man tag team steel cage masks v row 4 : title \| damian 666 \| monster clown \| naucalpan, mexico \| august 28, 2011 \| four tag team steel cage match, where los psycho row 5 : hair \| monster clown, murder clown and psycho clown \| halloween, damian 666 and n \| monterrey, nuevo leon \| october 9, 2011 \| steel cage masks vs. hairs row 6 : hair \| psicosis \| joe lider \| mexico city \| august 5, 2012 \| None row 7 : hair \| dark cuervo \| halloween \| san luis potosi, \| october 7, 2012 \| domo de la muerte, ] Execute this SQL based on the above table: select count ( location ) where loser not null	7
[ header: # \| judge \| state \| born/died \| active \| chief \| senior \| appointed by \| reason for termination row 1 : 3 \| david davie shelby \| al \| 1847-1914 \| 1899-1914 \| None \| None \| mckinley \| death row 2 : 4 \| richard wilde walker, jr \| al \| 1857-1936 \| 1914-1930 \| None \| 1930-1936 \| wilson \| death row 3 : 9 \| samuel hale \| ga \| 1873-1958 \| 1931-1949 \| None \| 1949-1958 \| hoover \| death row 4 : 11 \| edwin ruthven hol \| ms \| 1878-1961 \| 1936-1954 \| None \| 1954-1961 \| f. roosevel \| death row 5 : 12 \| leon clarence mccord \| al \| 1878-1952 \| 1938-1951 \| None \| 1951-1952 \| f. roosevel \| death row 6 : 13 \| curtis longino waller \| fl \| 1887-1950 \| 1943-1950 \| None \| None \| f. roosevel \| death row 7 : 17 \| louie willard strum \| fl \| 1890-1954 \| 1950-1954 \| None \| None \| truman \| death row 8 : 22 \| john robert brown \| tx \| 1909-1984 \| 1955-1984 \| 1967-1979 \| 1984-1993 \| eisenhower \| death row 9 : 23 \| john minor wisdom \| la \| 1905-1999 \| 1957-1977 \| None \| 1977-1999 \| eisenhower \| death row 10 : 24 \| griffin bell \| ga \| 1918-2009 \| 1961-1976 \| None \| None \| kennedy \| resignation row 11 : 25 \| walter pettus gewin \| al \| 1908-1981 \| 1961-1976 \| None \| 1976-1981 \| kennedy \| death row 12 : 26 \| william homer thornberry \| tx \| 1909-1995 \| 1965-1978 \| None \| 1978-1995 \| l. johnson \| death row 13 : 29 \| john cooper godbold \| al \| 1920-2009 \| 1966-1981 \| 1981-1981 \| None \| l. johnson \| reassignment to 11th circuit row 14 : 37 \| joe mcdonald in \| tx \| 1903-1990 \| 1969-1973 \| None \| 1973-1990 \| nixon \| death row 15 : 41 \| james clinkscales hill \| ga \| 1924- \| 1976-1981 \| None \| None \| ford \| reassignment to 11th circuit row 16 : 45 \| phyllis a. krav \| ga \| 1920- \| 1979-1981 \| None \| None \| carter \| reassignment to 11th circuit row 17 : 49 \| joseph woodrow hatchett \| fl \| 1932- \| 1979-1981 \| None \| None \| carter \| reassignment to 11th circuit row 18 : 52 \| henry anthony politz \| la \| 1932-2002 \| 1979-1999 \| 1992-1999 \| 1999-2002 \| carter \| death row 19 : 56 \| thomas alonzo clark \| ga \| 1920-2005 \| 1979-1981 \| None \| None \| carter \| reassignment to 11th circuit ] Execute this SQL based on the above table: select state where state != 'tx' and judge = 'walter pettus gewin'	al
[ header: \| name on the register \| date listed \| location \| municipality row 1 : 1 \| catholic belltower \| november 25, 1980 (#80004399 \| catholic mission in kolonia 6°58 \| nett row 2 : 2 \| chief agriculturist house \| september 30, 1976 (#76002200) \| kolonia 6°57′31′′n \| nett row 3 : 3 \| german cemetery \| september 30, 1976 (#76002201) \| kolonia 6°57′07′′n \| nett row 4 : 4 \| japanese hydro-electric power plant \| september 30, 1976 (#76002204) \| kolonia 6°57′33′′n \| nett row 5 : 5 \| japanese shrine \| september 30, 1976 (#76002205) \| kolonia 6°57′50′′n \| nett row 6 : 6 \| japanese elementary school for pon \| september 30, 1976 (#76002203) \| kolonia 6°58′01′′n \| nett row 7 : 7 \| sokehs mass grave site \| september 30, 1976 (#76002206) \| kolonia 6°58′10′′n \| nett row 8 : 8 \| spanish wall \| december 19, 1974 (#7400222 \| litkin kel 6°58′05′′ \| nett row 9 : 9 \| japanese artillery road and \| september 30, 1976 (#76002202) \| sokehs 6°58′03′′ \| sokehs row 10 : 10 \| nan madol \| december 19, 1974 (#7400222 \| east side of temwen island 6° \| madolenihmw ] Execute this SQL based on the above table: select ( select where name on the register = 'japanese elementary school for ponapean children' ) - ( select where name on the register = 'sokehs mass grave site' )	-1.0
[ header: \| name \| date \| location \| county \| description row 1 : 1 \| diamond head \| None \| honolulu \| oahu \| state monument row 2 : 2 \| i'ao valley \| None \| wailuku \| maui \| state monument row 3 : 3 \| kanaha pond \| june 1971 \| kahului \| maui \| bird sanctuary row 4 : 4 \| koʻolau range pali \| None \| None \| oahu \| None row 5 : 5 \| makalawena marsh \| june 1972 \| north kona \| hawaiʻi \| bird sanctuary row 6 : 6 \| mauna kea \| november 1972 \| saddle road \| hawaiʻi \| u.s. state high point row 7 : 7 \| north shore cliffs \| december 1972 \| molokaʻi \| maui \| None ] Execute this SQL based on the above table: select name where name in ( 'mauna kea' , 'koʻolau range pali' ) group by name order by count ( * ) desc limit 1	mauna kea
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 5 \| fernando alonso \| renault \| 56 \| 1:31:33.736 \| 1 \| 10 row 2 : 2 \| 16 \| jarno trulli \| toyota \| 56 \| 24.327 \| 2 \| 8 row 3 : 3 \| 8 \| nick heidfeld \| williams-bmw \| 56 \| 32.188 \| 10 \| 6 row 4 : 4 \| 10 \| juan pablo montoya \| mclaren-mercedes \| 56 \| 41.631 \| 11 \| 5 row 5 : 5 \| 17 \| ralf schumacher \| toyota \| 56 \| 51.854 \| 5 \| 4 row 6 : 6 \| 14 \| david coulthard \| red bull-cosworth \| 56 \| +1:12.543 \| 8 \| 3 row 7 : 7 \| 1 \| michael schumacher \| ferrari \| 56 \| +1:19.988 \| 13 \| 2 row 8 : 8 \| 15 \| christian klien \| red bull-cosworth \| 56 \| +1:20.835 \| 7 \| 1 row 9 : 9 \| 9 \| kimi raikkonen \| mclaren-mercedes \| 56 \| +1:21.580 \| 6 \| None row 10 : 10 \| 12 \| felipe massa \| sauber-petronas \| 55 \| +1 lap \| 14 \| None row 11 : 11 \| 19 \| narain karthikeyan \| jordan-toyota \| 54 \| +2 laps \| 17 \| None row 12 : 12 \| 18 \| tiago monteiro \| jordan-toyota \| 53 \| +3 laps \| 18 \| None row 13 : 13 \| 21 \| christijan albers \| minardi-cosworth \| 52 \| +4 laps \| 19 \| None row 14 : ret \| 2 \| rubens barrichello \| ferrari \| 49 \| handling \| 12 \| None row 15 : ret \| 6 \| giancarlo fisichella \| renault \| 36 \| collision \| 3 \| None row 16 : ret \| 7 \| mark webber \| williams-bmw \| 36 \| collision \| 4 \| None row 17 : ret \| 11 \| jacques villeneuve \| sauber-petronas \| 26 \| spun off \| 16 \| None row 18 : ret \| 3 \| jenson button \| bar-honda \| 2 \| engine \| 9 \| None row 19 : ret \| 4 \| anthony davidson \| bar-honda \| 2 \| engine \| 15 \| None row 20 : ret \| 20 \| patrick friesacher \| minardi-cosworth \| 2 \| spun off \| 20 \| None ] Execute this SQL based on the above table: select driver group by driver order by count ( constructor ) asc limit 1	anthony davidson
[ header: date \| time \| opponent# \| site \| tv \| result \| attendance row 1 : september 4 \| 7:00 pm \| pacific \| jones stadium • lubbock, \| None \| w 55-7 \| 29164 row 2 : september 11 \| 1:00 pm \| at #9 nebraska \| memorial stadium • lincoln, \| None \| l 27-50 \| 75771 row 3 : september 18 \| 12:00 pm \| at georgia \| sanford stadium • athens, \| None \| l 11-17 \| 74511 row 4 : september 25 \| 12:00 pm \| at baylor \| floyd casey stadium • waco, \| raycom \| l 26-28 \| 32690 row 5 : october 2 \| 11:00 am \| #14 texas a&m \| jones stadium • lubbock, \| abc \| l 6-31 \| 50748 row 6 : october 9 \| 1:00 pm \| north carolina state \| jones stadium • lubbock, \| None \| l 34-36 \| 26943 row 7 : october 16 \| 7:00 pm \| rice \| jones stadium • lubbock, \| None \| w 45-16 \| 27812 row 8 : october 30 \| 12:00 pm \| at texas \| texas memorial stadium • austin \| raycom \| w 31-22 \| 63132 row 9 : november 6 \| 12:00 pm \| tcu \| jones stadium • lubbock, \| raycom \| w 49-21 \| 31922 row 10 : november 13 \| 2:00 pm \| at smu \| ownby stadium • university park, tx \| None \| w 41-24 \| 15714 row 11 : november 20 \| 7:00 pm \| vs. houston \| alamodome • san a \| None \| w 58-7 \| 28652 row 12 : december 31 \| 1:30 pm \| vs. #19 oklahom \| sun bowl stadium • el paso, \| cbs \| l 10-41 \| 43848 ] Execute this SQL based on the above table: select avg ( attendance ) where time <= '7:00 pm'	41742.25
[ header: year built \| works number \| wheel arr. \| gauge \| original owner \| name \| current location \| notes row 1 : 1882 \| 283 \| 0-4-0st \| 1 ft 10 3⁄4 in (5 \| penrhyn quarry \| charles \| penrhyn castle railway museum \| None row 2 : 1883 \| 316 \| 0-4-0st \| 2 ft \| penrhyn quarry \| gwynedd \| bressingham steam museum \| penrhyn port class row 3 : 1883 \| 317 \| 0-4-0st \| 1 ft 11 1⁄2 in (5 \| penrhyn quarry \| lilian \| launceston steam railway \| penrhyn port class row 4 : 1889 \| 493 \| 0-4-0st \| 1 ft 11 3⁄4 in (6 \| dinorwic quarry \| elidir \| llanberis lake railway \| previously named "red damsel" row 5 : 1890 \| 518 \| 2-2-0t \| (1000mm) \| s.v.t. 8 \| tortosa-la cava1 \| tortosa (catalonia, spa \| None row 6 : 1891 \| 554 \| 0-4-0st \| 1 ft 11 1⁄2 in (5 \| cilgwyn quarry, then penr \| lilla \| ffestiniog railway \| None row 7 : 1894 \| 606 \| 0-4-0st \| 2 ft \| penrhyn quarry \| alan george \| teifi valley railway \| None row 8 : 1896 \| 652 \| 0-4-0st \| 1 ft 11 1⁄2 in (5 \| groby granite, then dinorwic \| lady madcap \| welsh highland heritage railway \| originally named sextus row 9 : 1898 \| 680 \| 0-4-0st \| 2 ft (610 mm) \| dinorwic quarry \| george b \| bala lake railway \| None row 10 : 1898 \| 684 \| 0-4-0wt \| 18 in (457 mm) \| john knowles co \| jack \| armley mills industrial museum, leed \| None row 11 : 1899 \| 705 \| 0-4-0st \| 2 ft (610 mm) \| penrhyn quarry \| elin \| yaxham light railway \| previously at the lincolnshire coast row 12 : 1901 \| 763 \| 0-4-0st \| 1 ft 11 1⁄2 in (5 \| dorothea quarry \| dorothea \| launceston steam railway \| None row 13 : 1903 \| 823 \| 0-4-0st \| 2 ft \| dinorwic quarry \| irish mail \| west lancashire light railway \| None row 14 : 1909 \| 994 \| 0-4-0st \| 2 ft \| penrhyn quarry \| bill harvey \| bressingham steam museum \| previously george sholto row 15 : 1918 \| 1312 \| 4-6-0t \| 1 ft 11 1⁄2 in (5 \| british war department efo \| None \| pampas safari, gravatai \| [citation needed] row 16 : 1920 \| 1404 \| 0-4-0wt \| 18 in (457 mm) \| john knowles co \| gwen \| richard farmer current owner, northridge, \| None row 17 : 1922 \| 1429 \| 0-4-0st \| 2 ft (610 mm) \| dinorwic \| lady joan \| bredgar and wormshill light \| None row 18 : 1922 \| 1430 \| 0-4-0st \| 1 ft 11 3⁄4 in (6 \| dinorwic quarry \| dolbadarn \| llanberis lake railway \| None ] Execute this SQL based on the above table: select year built where year built in ( 1883 , 1883 ) order by works number desc limit 1	1883
[ header: # \| title \| producer(s) \| featured guest(s) \| length row 1 : 1 \| "intro" \| swizzo (of drum squad) \| None \| 1:41 row 2 : 2 \| "interlude" \| crown kingz productions (ckp) \| None \| 2:22 row 3 : 3 \| "dem boyz" \| nitti \| p. diddy \| 4:16 row 4 : 4 \| "felonies" \| jazze pha \| None \| 5:49 row 5 : 5 \| "look" \| drumma boy \| None \| 4:56 row 6 : 6 \| "gangstas" \| erick sermon \| eazy-e \| 3:49 row 7 : 7 \| "don't put your hands on me" \| dj toomp \| None \| 4:33 row 8 : 8 \| "bitches & bizness" \| nitti \| rick ross (uncredited) \| 4:21 row 9 : 9 \| "trap niggas" \| drumma boy \| None \| 3:37 row 10 : 10 \| "still slizzard" \| nitti \| None \| 5:07 row 11 : 11 \| "no talkin" \| sanchez \| None \| 5:25 row 12 : 12 \| "happy jamz" \| jazze pha \| jazze pha \| 4:48 row 13 : 13 \| "if u a thug \| keith mack \| None \| 5:09 row 14 : 14 \| "lay it down" \| jasper \| None \| 4:17 row 15 : 15 \| "pussy m.f.' \| horace "bubba" mitchell \| trick daddy \| 4:24 row 16 : 16 \| "keep it hood 2nite" \| midnight black \| None \| 3:23 ] Execute this SQL based on the above table: select producer(s) order by # desc limit 1	midnight black
[ header: # \| club \| winner \| last win \| runner-up \| last losing final row 1 : 1 \| esteghlal (taj) \| 6 \| 2012 \| 3 \| 2004 row 2 : 2 \| persepolis \| 5 \| 2011 \| 2 \| 2013 row 3 : 3 \| sepahan \| 4 \| 2013 \| 0 \| None row 4 : 4 \| malavan \| 3 \| 1990 \| 4 \| 2011 row 5 : 5 \| zob ahan \| 2 \| 2009 \| 1 \| 2001 row 6 : 6 \| bahman \| 1 \| 1995 \| 2 \| 2000 row 7 : 6 \| fajr sepasi \| 1 \| 2001 \| 2 \| 2003 row 8 : 6 \| tractor sazi \| 1 \| 2014 \| 2 \| 1995 row 9 : 8 \| bargh shiraz \| 1 \| 1997 \| 1 \| 1996 row 10 : 8 \| saba qom (saba \| 1 \| 2005 \| 1 \| 2007 row 11 : 10 \| saipa \| 1 \| 1994 \| 0 \| None row 12 : 10 \| shahin ahvaz \| 1 \| 1988 \| 0 \| None row 13 : 13 \| homa \| 0 \| None \| 1 \| 1977 row 14 : 13 \| kheibar khorramabad \| 0 \| None \| 1 \| 1986 row 15 : 13 \| jonoob ahvaz \| 0 \| None \| 1 \| 1994 row 16 : 13 \| aboomoslem \| 0 \| None \| 1 \| 2005 row 17 : 13 \| damash (pegah) \| 0 \| None \| 1 \| 2008 row 18 : 13 \| rah ahan \| 0 \| None \| 1 \| 2009 row 19 : 13 \| gostaresh foolad \| 0 \| None \| 1 \| 2010 row 20 : 13 \| shahin bushehr \| 0 \| None \| 1 \| 2012 row 21 : 13 \| mes kerman \| 0 \| None \| 1 \| 2014 ] Execute this SQL based on the above table: select abs ( ( select last losing final where club = 'bargh shiraz' ) - ( select last losing final where club = 'homa' ) )	19
[ header: year \| title \| role \| notes row 1 : 1991 \| they came from outer space \| mrs. morley \| episode: "hair today, gone tomorrow" row 2 : 1991 \| parker lewis can't lose \| melinda \| episode: "love handles" row 3 : 1991 \| married... with children \| jill \| episode: "if al had a ham row 4 : 1992 \| married... with children \| kara \| episode: "the mystery of skull island" row 5 : 1992 \| matlock \| lisa loomis \| episode: "the big payoff" row 6 : 1992 \| silk stalkings \| tessa shaver \| episode: "goodtime charlie" row 7 : 1992 \| dark justice \| lucy \| episode: "a better mousetrap" row 8 : 1992 \| baywatch \| lifeguard \| episode: "war of nerves" row 9 : 1993 \| the cover girl murders \| hetty barnett \| movie row 10 : 1994 \| red shoe diaries \| luscious lola \| episode: "luscious lola" row 11 : 1994 \| honor thy father and mother: the true \| jamie pisarcik \| movie row 12 : 1994 \| fortune hunter \| kelly owen \| episode: "stowaway" row 13 : 1994 \| baywatch \| kim \| episode: "red wind" row 14 : 1995 \| pointman \| brenner \| episode: "models" row 15 : 1995 \| the watcher \| lori danforth \| 8 episodes row 16 : 1995-96 \| murder one \| julie costello \| 15 episodes row 17 : 1996 \| the x-files \| dr. bambi berenbaum \| episode: "war of the coprophages row 18 : 1996 \| boy meets world \| louanne \| episode: "i never sang for my legal guard row 19 : 1996-97 \| the cape \| navy pilot lt. cmdr. \| 17 episodes row 20 : 1997 \| stargate sg-1 \| kynthia \| episode: "brief candle" row 21 : 1998 \| house rules \| dr. chris cavan \| episode: "riley's new job" row 22 : 1998 \| chameleon \| kam \| movie row 23 : 1998 \| two guys and a girl \| shawn \| episode: "two guys, a girl and row 24 : 1999 \| two guys and a girl \| shawn \| episode: "two guys, a girl and row 25 : 1999 \| chameleon ii: death match \| kam \| movie row 26 : 1999 \| the magnificent seven \| None \| episode: "wagon train: part 1" row 27 : 1999 \| the crow: stairway to heaven \| hannah foster / talon \| episode: "birds of a feather" row 28 : 1999 \| the strip \| lilly briscoe \| episode: "winner takes it all" row 29 : 2000 \| two guys and a girl \| shawn \| episode: "another moving script" row 30 : 2000 \| hustle \| maya / corinna \| m<vie row 31 : 2000 \| chameleon 3: dark angel \| kam \| movie row 32 : 2001 \| seven days \| raven \| episode: "raven" row 33 : 2001 \| dharma & greg \| anna \| episode: "dream a little dream of her ] Execute this SQL based on the above table: select count ( notes ) where notes = 'movie'	5
[ header: rank \| title \| studio \| director \| actors \| gross row 1 : 1 \| the sound of music \| 20th century fox \| robert wise \| julie andrews, christ \| $163,214,286 row 2 : 2 \| doctor zhivago \| metro-goldwyn-mayer \| david lean \| omar sharif, ju \| $111,721,910 row 3 : 4 \| those magnificent men in their flying machines \| 20th century fox \| ken annakin \| stuart whitman, sara \| $31,111,111 row 4 : 8 \| what's new pussycat? \| united artists \| clive donner \| peter sellers, peter o'tool \| $18,820,000 row 5 : 9 \| shenandoah \| universal pictures \| andrew v. mclagle \| james stewart, doug \| $17,268,889 row 6 : 10 \| von ryan's express \| 20th century fox \| mark robson \| frank sinatra, trevor \| $17,111,111 row 7 : 12 \| for a few dollars more \| united artists \| sergio leone \| clint eastwood, lee van \| $15,000,000 row 8 : 13 \| the sandpiper \| metro-goldwyn-mayer \| vincente minnelli \| elizabeth tay \| $13,691,111 row 9 : 16 \| help! \| united artists \| richard lester \| john lennon, paul \| $12,066,667 row 10 : 19 \| the agony and the ecsta \| 20th century fox \| carol reed \| charlton heston, rex \| $8,000,000 ] Execute this SQL based on the above table: select title where title = 'for a few dollars more' order by id asc limit 1045	for a few dollars more
[ header: date \| time \| opponent# \| rank# \| site \| tv \| result \| attendance row 1 : september 3 \| 6:00 pm \| missouri state \| #15 \| donald w. reyn \| ppv \| w 51-7 \| 70607 row 2 : september 10 \| 6:00 pm \| new mexico \| #14 \| war memorial stadium • little rock, ar \| espnu \| w 52-3 \| 52606 row 3 : september 17 \| 6:30 pm \| troy \| #14 \| donald w. reyn \| css \| w 38-28 \| 69861 row 4 : september 24 \| 2:30 pm \| at #3 alabama \| #14 \| bryant-denny stadium • \| cbs \| l 14-38 \| 101821 row 5 : october 1 \| 11:00 am \| vs. #14 texas \| #18 \| cowboys stadium • arlington, \| espn \| w 42-38 \| 69838 row 6 : october 8 \| 6:00 pm \| #15 auburn \| #10 \| donald w. reyn \| espn \| w 38-14 \| 74191 row 7 : october 22 \| 11:21 am \| at ole miss \| #10 \| vaught-hemingway stadium • \| secn \| w 29-24 \| 57951 row 8 : october 29 \| 11:21 am \| at vanderbilt \| #8 \| vanderbilt stadium • nashville \| secn \| w 31-28 \| 33247 row 9 : november 5 \| 6:15 pm \| #10 south carolina \| #8 \| donald w. reyn \| espn \| w 44-28 \| 73804 row 10 : november 12 \| 5:00 pm \| tennessee \| #8 \| donald w. reyn \| espn2 \| w 49-7 \| 72103 row 11 : november 19 \| 2:30 pm \| mississippi state \| #6 \| war memorial stadium • little rock, ar \| cbs \| w 44-17 \| 55761 row 12 : november 25 \| 1:30 pm \| at #1 lsu \| #3 \| tiger stadium • baton rouge, la \| cbs \| l 17-41 \| 93108 row 13 : january 6 \| 7:00 pm \| vs. #11 kansa \| #7 \| cowboys stadium • arlington, \| fox \| w 29-16 \| 80956 ] Execute this SQL based on the above table: select ( select time where result = 'w 44-28' ) > 1773	0
[ header: year \| place \| gold \| silver \| bronze row 1 : 1962 \| cairo \| mercedes mata (ven) \| marjorie annan (usa) \| elena shebashova (urs row 2 : 1966 \| wiesbaden \| claudia smirnova (urs \| mercedes garcia (ven) \| michele valery (fra) row 3 : 1967 \| bologna \| larisa gurvich (urs \| claudia smirnova (urs \| mirella lenzini (ita) row 4 : 1970 \| phoenix \| larissa korchinskaya (urs \| nuria ortiz (mex \| kari linden (nor) row 5 : 1971 \| bologna \| nuria ortiz (mex \| larissa korchinskaya (urs \| kari linden (nor) row 6 : 1974 \| bern \| larissa korchinskaya (urs \| saskia brixner ( \| evior melander (swe) row 7 : 1975 \| munich \| larisa gurvich (urs \| pinky le grelle (bel) \| ruth jordan (frg row 8 : 1977 \| antibes \| ruth jordan (frg \| ila hill (usa) \| bianca rosa hansberg row 9 : 1979 \| montecatini terme \| bianca rosa hansberg \| larisa gurvich (urs \| svetlana yakimova row 10 : 1981 \| tucuman \| lanying wu (chn) \| ila hill (usa) \| bianca rosa hansberg row 11 : 1982 \| caracas \| svetlana yakimova \| meimei feng (chn) \| weiping shao (chn) row 12 : 1986 \| suhl \| svetlana demina ( \| michaela rink (frg \| connie schiller (usa) row 13 : 1987 \| valencia \| meimei feng (chn) \| bonnie mc laurin (us \| nuria ortiz (mex row 14 : 1989 \| montecatini terme \| shan zhang (chn) \| antonella parrini (it \| erzsebet vasvari row 15 : 1991 \| perth \| jong ran pak (prk \| svetlana demina ( \| erzsebet vasvari row 16 : 1994 \| fagnano \| erdzhanik avetisyan \| diana igaly (hun) \| daniela bolis (ita row 17 : 1999 \| tampere \| erdzhanik avetisyan \| cristina vitali (ita) \| svetlana demina ( row 18 : 2001 \| cairo \| zemfira meftakhe \| olga panarina ( \| cristina vitali (ita) row 19 : 2002 \| lahti \| diana igaly (hun) \| andrea stranovska (svk \| elena little (gbr) row 20 : 2003 \| nicosia \| ning wei (chn) \| katiuscia spada (it \| diana igaly (hun) ] Execute this SQL based on the above table: select place where bronze > ( select bronze where place = 'fagnano' ) order by bronze limit 1	nicosia
[ header: name \| red vs. blue \| couples team \| status \| weight \| total votes row 1 : valerica marin 47, bucha \| none \| None \| eliminated week 1 \| 142 kg \| 0 row 2 : tatiana musat 25, buch \| none \| None \| eliminated week 1 \| 150 kg \| 0 row 3 : gige state 47, bucharest \| none \| None \| eliminated week 1 \| 200 kg \| 0 row 4 : alex ionescu returned week 5 \| none \| None \| eliminated week 1 \| 196 kg \| 0 row 5 : catalin chiriac 23, \| blue team \| None \| 1st voted out week 1 \| 146, 4 kg \| 6 row 6 : dana mocanu 34, plo \| red team \| None \| 2nd voted out week 2 \| 111, 5 kg \| 6 row 7 : daniela gheorghe \| red team \| None \| 3rd voted out week 3 \| 112, 8 kg \| 5 row 8 : alexandra patrascu 37, \| red team \| None \| eliminated week 4 \| 118, 4 kg \| 0 row 9 : mihai florescu 35, bucha \| red team \| None \| 4th voted out week 4 \| 175, 8 kg \| 0 row 10 : alexandru briscu 26, \| blue team \| gray team \| 5th voted out week 5 \| 158, 1 kg \| 0 row 11 : daniel sulugiu \| blue team \| yellow team \| 5th voted out week 6 \| 158, 1 kg \| 0 row 12 : irina gur 39, \| blue team \| lightgreen team \| 6th voted out week7 \| 129,4 kg \| 1 row 13 : dragos holeac 30, bucha \| blue team \| lightgreen team \| 6th voted out week7 \| 129,4 kg \| 1 ] Execute this SQL based on the above table: select ( select count ( couples team ) where total votes = 6 ) - ( select count ( couples team ) where total votes = 0 )	-2
[ header: name \| profession \| hometown \| term expires \| office row 1 : bill w. burgess \| attorney \| lawton \| 2011 \| None row 2 : ronald h. white, \| medical doctor \| oklahoma city \| 2012 \| None row 3 : william stuart price \| businessman \| tulsa \| 2013 \| None row 4 : joseph l. parker \| businessman \| tulsa \| 2014 \| chair row 5 : julie carson \| attorney \| claremore \| 2015 \| vice chair row 6 : marlin "ike" glass \| businessman \| newkirk \| 2016 \| secretary row 7 : james d. "jimmy \| banker \| leedy \| 2017 \| assistant secretary row 8 : mike turpen \| attorney \| oklahoma city \| 2018 \| None row 9 : john massey \| banker \| durant \| 2019 \| None ] Execute this SQL based on the above table: select count ( profession ) where hometown in ( 'durant' , 'tulsa' )	3
[ header: event \| record \| athlete(s) \| date \| time (s) row 1 : bobsleigh - two-man \| start \| beat hefti & thomas \| 6 february 2009 \| 4.7 row 2 : bobsleigh - two-man \| track \| thomas florschutz & \| 20 february 2010 21 february 2010 \| 51.57 row 3 : bobsleigh - four-man \| start \| andre lange, kevin kuske \| 26 february 2010 \| 4.7 row 4 : bobsleigh - four-man \| track \| steve holcomb, justin \| 26 february 2010 \| 50.86 row 5 : bobsleigh - two-woman \| start \| kaillie humphries \| 23 february 2010 24 february 2010 \| 5.11 row 6 : bobsleigh - two-woman \| track \| kaillie humphries \| 24 february 2010 \| 52.85 row 7 : men's skeleton \| start \| alexander tretiakov (rus \| 18 february 2010 \| 4.48 row 8 : men's skeleton \| track \| jon montgomery (can) \| 19 february 2010 \| 52.2 row 9 : women's skeleton \| start \| anja huber (ger) \| 18 february 2010 \| 4.9 row 10 : women's skeleton \| track \| amy williams (gbr \| 19 february 2010 \| 53.68 row 11 : luge - men's singles \| start \| andi langenhan (ger) \| 21 february 2009 \| 3.541 row 12 : luge - men's singles \| track \| felix loch (ger) \| 21 february 2009 \| 46.808 row 13 : luge - women's singles \| start \| natalie geisenberger (ger \| 20 february 2009 \| 7.183 row 14 : luge - women's singles \| track \| natalie geisenberger (ger \| 20 february 2009 \| 48.992 row 15 : luge - men's doubles \| start \| tobias wendl & tobia \| 20 february 2009 \| 7.054 row 16 : luge - men's doubles \| track \| patric leitner & alexander \| 20 february 2009 \| 48.608 ] Execute this SQL based on the above table: select ( select count ( event ) where athlete(s) = 'thomas florschutz & richard adjei (ger) andre lange & kevin kuske (ger)' ) - ( select count ( event ) where athlete(s) = 'andre lange, kevin kuske, alexander rodiger, & martin putze (ger)' )	-1
[ header: event \| bowling center \| city \| dates \| winner row 1 : eastern open \| edison lanes \| edison, new jersey \| dec 2-6 \| dennis chapis (2) row 2 : charlotte open \| freedom lanes \| charlotte, north carolina \| dec 9-13 \| gene rhoda (3) row 3 : western open \| saratoga lanes \| san jose, californ \| jan 4-8 \| jim godman (1) row 4 : denver open \| broadway bowl \| denver, colorado \| jan 11-15 \| dick weber (16) row 5 : hialeah-miami open \| hialeah lanes \| hialeah, florida \| feb 1-5 \| les schissler (3) row 6 : mobile-sertoma open \| florida lanes \| mobile, alabama \| feb 8-12 \| mike limongello (2) row 7 : fresno open \| sunnyside bowl \| fresno, californ \| feb 15-19 \| dick weber (17) row 8 : las vegas open \| showboat lanes \| las vegas, nevada \| feb 22-26 \| skee foremsky (1) row 9 : miller high life open \| bowlero lanes \| milwaukee, wisconsin \| mar 1-5 \| bill lillard (1) row 10 : buckeye open \| imperial lanes \| toledo, ohio \| mar 15-19 \| pete tountas (2) row 11 : greater buffalo open \| fairlanes \| depew, new york \| mar 22-26 \| bobby jacks (1) row 12 : firestone tournament of champions \| riviera lanes \| akron, ohio \| mar 29 - apr 2 \| wayne zahn (4) row 13 : seattle open \| ballinger bowl \| seattle, washington \| jun 9-12 \| wayne zahn (5) row 14 : portland open \| valley lanes \| portland, oregon \| jun 16-19 \| don johnson (2) row 15 : fresno open \| cedar lanes \| fresno, californ \| jun 22-26 \| les schissler (4) row 16 : tucson squirt \| cactus bowl \| tucson, arizona \| jul 1-4 \| johnny guenther (2) row 17 : southern california open \| encino bowl \| encino, california \| jul 7-10 \| barry asher (1) row 18 : fort worth open \| meadowbrook lanes \| fort worth, texas \| jul 14-17 \| dick ritger (1) row 19 : reading open \| hiester lanes \| reading, pennsylvania \| jul 28-31 \| dick ritger (2) row 20 : u.s. coast guard open \| starlite lanes \| grand haven, michigan \| aug 2-5 \| george howard (4) row 21 : waukegan open \| bertrand bowl \| waukegan, illinois \| aug 18-21 \| bobby jacks (3) row 22 : fort smith open \| midland bowl \| fort smith, arkansas \| aug 25-28 \| johnny petraglia (1) row 23 : crescent city open \| mardi gras bowl \| new orleans, louisiana \| sep 8-12 \| barry asher (2) row 24 : seventh annual pba national championship \| garden city bowl \| garden city, new york \| nov 1-6 \| wayne zahn (6) row 25 : camden pba open \| camden lanes \| camden, new jersey \| nov 9-12 \| ralph engan (1) ] Execute this SQL based on the above table: select bowling center where id = ( select id where bowling center = 'sunnyside bowl' ) - 1	florida lanes
[ header: rank \| mountain \| height (m) \| height (ft) \| range \| coordinates \| prominence (m) \| parent mountain \| first ascent \| ascents (failed attempts) bef.2004 row 1 : 5 \| makalu \| 8485 \| 27838 \| mahalangur himalaya \| 27°53′23′′n 87° \| 2386 \| mount everest \| 1955 \| 45 (52) row 2 : 20 \| ngadi chuli \| 7871 \| 25823 \| manaslu himalaya \| 28°30′12′′n 84° \| 1020 \| manaslu \| 1970 \| 2 (6) row 3 : 21 \| khunyang chhish \| 7823 \| 25666 \| hispar karakoram \| 36°12′19′′n 75°12 \| 1765 \| distaghil sar \| 1971 \| 2 (6) row 4 : 41 \| gongga shan/ miny \| 7556 \| 24790 \| daxue shan \| 29°35′43′′n 101°52 \| 3642 \| mount everest \| 1932 \| 6 (7) row 5 : 43 \| muztagh ata \| 7546 \| 24757 \| muztagata kunlun \| 38°16′33′′n 75°06 \| 2735 \| kongur tagh \| 1956 \| many row 6 : 53 \| pumari chhish \| 7492 \| 24580 \| hispar karakoram \| 36°12′41′′n 75°15 \| 890 \| khunyang chhish \| 1979 \| 1 (2) row 7 : 62 \| yangra/ ganesh \| 7422 \| 24350 \| ganesh himalaya \| 28°23′29′′n 85°07 \| 2352 \| manaslu \| 1955 \| 1 (6) row 8 : 69 \| ghent kangri \| 7401 \| 24281 \| saltoro karakoram \| 35°31′04′′n 76° \| 1493 \| saltoro kangri \| 1961 \| 4 (0) row 9 : 80 \| chamlang \| 7321 \| 24019 \| mahalangur himalaya \| 27°46′30′′n 86° \| 1240 \| lhotse \| 1961 \| 7 (1) row 10 : 87 \| baintha brakk/ the ogre \| 7285 \| 23901 \| panmah karakoram \| 35°56′51′′n 75°45 \| 1891 \| kanjut sar \| 1977 \| 3 (13) row 11 : 97 \| mukut parbat \| 7242 \| 23760 \| garhwal himalaya \| 30°56′57′′n 79° \| 840 \| kamet \| 1951 \| 2 (1) ] Execute this SQL based on the above table: select height (ft) where range = 'panmah karakoram'	23901.0
[ header: name \| red vs. blue \| couples team \| status \| weight \| total votes row 1 : valerica marin 47, bucha \| none \| None \| eliminated week 1 \| 142 kg \| 0 row 2 : tatiana musat 25, buch \| none \| None \| eliminated week 1 \| 150 kg \| 0 row 3 : gige state 47, bucharest \| none \| None \| eliminated week 1 \| 200 kg \| 0 row 4 : alex ionescu returned week 5 \| none \| None \| eliminated week 1 \| 196 kg \| 0 row 5 : catalin chiriac 23, \| blue team \| None \| 1st voted out week 1 \| 146, 4 kg \| 6 row 6 : dana mocanu 34, plo \| red team \| None \| 2nd voted out week 2 \| 111, 5 kg \| 6 row 7 : daniela gheorghe \| red team \| None \| 3rd voted out week 3 \| 112, 8 kg \| 5 row 8 : alexandra patrascu 37, \| red team \| None \| eliminated week 4 \| 118, 4 kg \| 0 row 9 : mihai florescu 35, bucha \| red team \| None \| 4th voted out week 4 \| 175, 8 kg \| 0 row 10 : alexandru briscu 26, \| blue team \| gray team \| 5th voted out week 5 \| 158, 1 kg \| 0 row 11 : daniel sulugiu \| blue team \| yellow team \| 5th voted out week 6 \| 158, 1 kg \| 0 row 12 : irina gur 39, \| blue team \| lightgreen team \| 6th voted out week7 \| 129,4 kg \| 1 row 13 : dragos holeac 30, bucha \| blue team \| lightgreen team \| 6th voted out week7 \| 129,4 kg \| 1 ] Execute this SQL based on the above table: select max ( weight )	200.0
[ header: rank \| city \| county \| state \| percentage row 1 : 1 \| palisades park \| bergen county \| new jersey \| 36.38% (52% in 2010) row 2 : 2 \| cerritos \| los angeles county \| california \| 17.69% row 3 : 3 \| la palma \| orange county \| california \| 17.43% row 4 : 4 \| leonia \| bergen county \| new jersey \| 17.24% row 5 : 5 \| fort lee \| bergen county \| new jersey \| 17.18% row 6 : 6 \| ridgefield \| bergen county \| new jersey \| 14.31% row 7 : 7 \| closter \| bergen county \| new jersey \| 12.75% row 8 : 8 \| norwood \| bergen county \| new jersey \| 12.69% row 9 : 9 \| edgewater \| bergen county \| new jersey \| 11.83% row 10 : 10 \| englewood cliffs \| bergen county \| new jersey \| 11.76% ] Execute this SQL based on the above table: select ( select sum ( rank ) where percentage = '17.18%' ) > ( select sum ( rank ) where percentage = '11.83%' )	0
[ header: position \| club \| played \| points \| wins \| draws \| losses \| goals for \| goals against \| goal difference row 1 : 1 \| ue lleida \| 38 \| 57+19 \| 23 \| 11 \| 4 \| 56 \| 20 \| 36 row 2 : 2 \| real valladolid \| 38 \| 52+14 \| 20 \| 12 \| 6 \| 50 \| 30 \| 20 row 3 : 3 \| racing de santander \| 38 \| 52+14 \| 23 \| 6 \| 9 \| 56 \| 38 \| 18 row 4 : 4 \| rcd mallorca \| 38 \| 50+12 \| 21 \| 8 \| 9 \| 57 \| 34 \| 23 row 5 : 5 \| real betis \| 38 \| 43+5 \| 16 \| 11 \| 11 \| 49 \| 33 \| 16 row 6 : 6 \| real madrid b \| 38 \| 42+4 \| 15 \| 12 \| 11 \| 57 \| 41 \| 16 row 7 : 7 \| atletico marbella \| 38 \| 42+4 \| 17 \| 8 \| 13 \| 45 \| 41 \| 4 row 8 : 8 \| barcelona b \| 38 \| 39+1 \| 15 \| 9 \| 14 \| 59 \| 55 \| 4 row 9 : 9 \| cp merida \| 38 \| 39+1 \| 13 \| 13 \| 12 \| 43 \| 42 \| 1 row 10 : 10 \| cd castellon \| 38 \| 36-2 \| 13 \| 10 \| 15 \| 40 \| 45 \| -5 row 11 : 11 \| cd badajoz \| 38 \| 36-2 \| 14 \| 8 \| 16 \| 37 \| 36 \| 1 row 12 : 12 \| sd compostela \| 38 \| 35-3 \| 10 \| 15 \| 13 \| 35 \| 39 \| -4 row 13 : 13 \| villarreal cf \| 38 \| 34-4 \| 13 \| 8 \| 17 \| 38 \| 51 \| -14 row 14 : 14 \| palamos cf \| 38 \| 33-5 \| 12 \| 9 \| 17 \| 33 \| 50 \| -17 row 15 : 15 \| athletic de bilbao b \| 38 \| 33-5 \| 9 \| 15 \| 14 \| 33 \| 34 \| -1 row 16 : 16 \| sd eibar \| 38 \| 32-6 \| 10 \| 12 \| 16 \| 33 \| 44 \| -11 row 17 : 17 \| ue figueres \| 38 \| 32-6 \| 11 \| 10 \| 17 \| 41 \| 59 \| -18 row 18 : 18 \| cd lugo \| 38 \| 25-13 \| 7 \| 11 \| 20 \| 23 \| 41 \| -18 row 19 : 19 \| sestao \| 38 \| 24-14 \| 7 \| 10 \| 21 \| 29 \| 54 \| -25 row 20 : 20 \| ce sabadell fc 1 \| 38 \| 24-14 \| 8 \| 8 \| 22 \| 30 \| 57 \| -27 ] Execute this SQL based on the above table: select points order by draws asc limit 1	52+14
[ header: \| name on the register \| date listed \| location \| city or town \| summary row 1 : 1 \| arnold trail to quebec \| october 1, 1969 (#69 \| along the kennebec river, through \| coburn gore \| extends through franklin, kenn row 2 : 2 \| barn on lot 8, range g \| august 24, 2011 (#11000581) \| 816 foster hill rd. 44° \| freeman township \| None row 3 : 3 \| bass boarding house \| april 7, 1988 (#88000 \| canal st. 44°35′12 \| wilton \| None row 4 : 5 \| john g. coburn \| april 11, 2002 (#02000 \| 360 river rd. 44°37′ \| carthage \| perhaps the "john g. coburn house row 5 : 9 \| first congregational church, united church of christ \| july 25, 1974 (#74000149 \| main st. 44°40′04 \| farmington \| None row 6 : 13 \| greenacre \| october 29, 1982 (#82 \| 17 court st. 44°40′ \| farmington \| None row 7 : 15 \| holmes-crafts homestead \| april 26, 1973 (#73000 \| old n. jay rd. \| north jay \| None row 8 : 17 \| jay-niles memorial library \| march 13, 1987 (#87000414) \| state route 4 44°32′53′′n \| north jay \| None row 9 : 18 \| little red schoolhouse \| february 23, 1972 (#72000070 \| south of west farmington on wilton r \| west farmington \| None row 10 : 21 \| mccleary farm \| april 7, 1989 (#89000 \| s. strong rd. 44° \| strong \| None row 11 : 22 \| merrill hall \| january 23, 1980 (#800002 \| maine and academy sts. 44 \| farmington \| None row 12 : 23 \| new sharon bridge \| september 24, 1999 (#99001189) \| south of u.s. route 2 over \| new sharon \| to be demolished ] Execute this SQL based on the above table: select city or town where id = 1	coburn gore
[ header: year \| fbs opponent \| result \| opponent's conference \| opponent's head coach \| charleston southern's head coach row 1 : 2015 \| alabama crimson tide \| None \| sec \| nick saban \| jamey chadwell row 2 : 2014 \| georgia bulldogs \| None \| sec \| mark richt \| jamey chadwell row 3 : 2014 \| vanderbilt commodores \| None \| sec \| derek mason \| jamey chadwell row 4 : 2013 \| colorado buffaloes \| l, 43-10 \| pac-12 \| mike macintyre \| jamey chadwell row 5 : 2012 \| illinois fighting illini \| l, 44-0 \| big ten \| tim beckman \| jay mills row 6 : 2011 \| ucf knights \| l, 62-0 \| c-usa \| george o'leary \| jay mills row 7 : 2011 \| florida state seminoles \| l, 62-10 \| acc \| jimbo fisher \| jay mills row 8 : 2010 \| kentucky wildcats \| l, 49-21 \| sec \| joker phillips \| jay mills row 9 : 2010 \| hawaii warriors \| l, 66-7 \| wac \| greg mcmackin \| jay mills row 10 : 2009 \| south florida bulls \| l, 59-0 \| big east \| jim leavitt \| jay mills row 11 : 2009 \| florida gators \| l, 62-3 \| sec \| urban meyer \| jay mills row 12 : 2008 \| miami redhawks \| l, 38-27 \| mac \| don treadwell \| jay mills row 13 : 2008 \| miami hurricanes \| l, 52-7 \| acc \| randy shannon \| jay mills row 14 : 2007 \| hawaii warriors \| l, 66-10 \| wac \| june jones \| jay mills row 15 : 2003 \| south florida bulls \| l, 55-7 \| big east \| jim leavitt \| jay mills row 16 : 2002 \| south florida bulls \| l, 56-6 \| big east \| jim leavitt \| david dowd ] Execute this SQL based on the above table: select result where year = 2008	l, 38-27, l, 52-7
[ header: no. \| player \| position \| career \| date no. retired row 1 : 1 \| eddie giacomin \| g \| 1965-76 \| march 15, 1989 row 2 : 2 \| brian leetch \| d \| 1987-2004 \| january 24, 2008 row 3 : 3 \| harry howell \| d \| 1952-69 \| february 22, 2009 row 4 : 7 \| rod gilbert \| rw \| 1960-78 \| october 14, 1979 row 5 : 9 \| andy bathgate \| c \| 1954-64 \| february 22, 2009 row 6 : 9 \| adam graves \| lw \| 1991-2001 \| february 3, 2009 row 7 : 11 \| mark messier \| c \| 1991-97, 2000-04 \| january 12, 2006 row 8 : 35 \| mike richter \| g \| 1990-2003 \| february 4, 2004 row 9 : 99 \| wayne gretzky \| c \| 1996-99 \| february 6, 2000 ] Execute this SQL based on the above table: select date no. retired where date no. retired = 'january 24, 2008' order by no. desc limit 1	january 24, 2008
[ header: round \| round \| circuit \| date \| pole position \| fastest lap \| winning rider row 1 : 1 \| r1 \| jerez \| 18 march \| raymond roche \| stephane mertens \| raymond roche row 2 : 1 \| r2 \| jerez \| 18 march \| raymond roche \| raymond roche \| raymond roche row 3 : 2 \| r1 \| donington \| 16 april \| giancarlo falappa \| rob phillis \| fred merkel row 4 : 2 \| r2 \| donington \| 16 april \| giancarlo falappa \| raymond roche \| giancarlo falappa row 5 : 3 \| r1 \| hungaroring \| 30 april \| malcolm campbell \| raymond roche \| fred merkel row 6 : 3 \| r2 \| hungaroring \| 30 april \| malcolm campbell \| fred merkel \| raymond roche row 7 : 4 \| r1 \| hockenheim \| 6 may \| raymond roche \| fred merkel \| fred merkel row 8 : 4 \| r2 \| hockenheim \| 6 may \| raymond roche \| raymond roche \| stephane mertens row 9 : 5 \| r1 \| mosport \| 3 june \| giancarlo falappa \| raymond roche \| raymond roche row 10 : 5 \| r2 \| mosport \| 3 june \| giancarlo falappa \| jamie james \| raymond roche row 11 : 6 \| r1 \| brainerd \| 10 june \| doug chandler \| doug chandler \| stephane mertens row 12 : 6 \| r2 \| brainerd \| 10 june \| doug chandler \| fabrizio pirovano \| doug chandler row 13 : 7 \| r1 \| osterreichring \| 1 july \| stephane mertens \| rob mcelnea \| fabrizio pirovano row 14 : 7 \| r2 \| osterreichring \| 1 july \| stephane mertens \| stephane mertens \| stephane mertens row 15 : 8 \| r1 \| sugo \| 26 august \| raymond roche \| raymond roche \| raymond roche row 16 : 8 \| r2 \| sugo \| 26 august \| raymond roche \| peter goddard \| doug chandler row 17 : 9 \| r1 \| le mans \| 9 september \| baldassarre monti \| raymond roche \| raymond roche row 18 : 9 \| r2 \| le mans \| 9 september \| baldassarre monti \| jamie james \| raymond roche row 19 : 10 \| r1 \| monza \| 7 october \| baldassarre monti \| rob phillis \| fabrizio pirovano row 20 : 10 \| r2 \| monza \| 7 october \| baldassarre monti \| rob phillis \| fabrizio pirovano row 21 : 11 \| r1 \| shah alam \| 4 november \| rob phillis \| fabrizio pirovano \| fabrizio pirovano row 22 : 11 \| r2 \| shah alam \| 4 november \| rob phillis \| raymond roche \| fabrizio pirovano row 23 : 12 \| r1 \| phillip island \| 11 november \| peter goddard \| fabrizio pirovano \| peter goddard ] Execute this SQL based on the above table: select count ( * ) where round < 12	22
[ header: year \| film title \| duration \| film type \| shoot location row 1 : 1972 \| kwadrat (square) \| 4:40 \| 35 mm short film \| pwsftvit ło row 2 : 1972 \| take five \| 3:36 \| 35 mm short film \| pwsftvit ło row 3 : 1973 \| plamuz (music art) \| 9:38 \| 35 mm short film \| smff se-ma- row 4 : 1974 \| zupa (soup) \| 8:22 \| 35 mm short film \| smff se-ma- row 5 : 1975 \| nowa ksiazka ( \| 10:26 \| 35 mm short film \| smff se-ma- row 6 : 1975 \| lokomotywa (loco \| 9:38 \| 35 mm short film \| smff se-ma- row 7 : 1975 \| swieto (holiday) \| 9:38 \| 35 mm short film \| smff se-ma- row 8 : 1976 \| oj! nie moge sie za \| 10:07 \| 35 mm short film \| smff se-ma- row 9 : 1976 \| weg zum nachbarn (way to your \| 2:30 \| 35 mm short film \| smff se-ma- row 10 : 1977 \| piatek - sobota (f \| 3:00 \| 35 mm short film \| smff se-ma- row 11 : 1979 \| mein fenster (my window) \| 2:26 \| 35 mm short film \| vienna row 12 : 1980 \| tango \| 8:14 \| 35 mm short film \| smff se-ma- row 13 : 1980 \| media \| 1:36 \| 35 mm short film \| smff se-ma- row 14 : 1980 \| sceny narciar \| 9:38 \| 35 mm documentary film \| in collaboration with b. dziw row 15 : 1981 \| wdech-wydech ( \| 2:26 \| 35 mm short film \| in collaboration with b. dziw ] Execute this SQL based on the above table: select year where id = 1	1972
[ header: # \| title \| time \| lead vocals \| notes row 1 : 1 \| savior more than life \| 6:44 \| keisha grandy \| None row 2 : 2 \| whatcha lookin' 4 \| 4:25 \| darrell blair, dal \| None row 3 : 3 \| melodies from heaven \| 4:34 \| the family \| None row 4 : 4 \| conquerors \| 8:24 \| dalon collins \| None row 5 : 5 \| don't take your joy away \| 6:33 \| tamela mann \| None row 6 : 6 \| when i think about jesus \| 1:38 \| None \| None row 7 : 7 \| mama's song \| 4:16 \| kirk franklin \| None row 8 : 8 \| jesus paid it all \| 5:04 \| kirk franklin, darrell \| None row 9 : 9 \| i love you jesus \| 7:25 \| teresa young, stephani \| None row 10 : 10 \| washed away \| 5:20 \| jeannette johnson, carrie \| None row 11 : 11 \| where the spirit is \| 4:03 \| jon drummond \| None row 12 : 12 \| let me touch you \| 5:26 \| dalon collins \| None row 13 : 13 \| anything 4 u \| 5:08 \| david mann, yoland \| None row 14 : 14 \| whatcha lookin' 4 (remix) \| 4:36 \| kirk franklin, d \| drum & synth programming - buster row 15 : 15 \| melodies from heaven (skate remix \| 4:18 \| kirk franklin \| drum & synth programming - buster ] Execute this SQL based on the above table: select title where title = 'melodies from heaven (skate remix)'	melodies from heaven (skate remix)
[ 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 notes where notes < 'the station became a transfer station when the sixth avenue line opened in 1940' order by notes desc limit 1	the station became a transfer station when the queens boulevard line opened in 1933. there is no free connection between trains in opposite directions. a free transfer only exists between the northbound (uptown) services and another exists between the southbound (downtown) services
[ header: squad # \| position \| player \| transferred to \| fee \| date row 1 : 20 \| df \| lau nim yat \| biu chun rangers \| free transfer \| 5 june 2012 row 2 : 16 \| mf \| leung chun pong \| guangdong sunray cave \| free transfer \| 12 june 2012 row 3 : 3 \| df \| yeo jee-hoon \| unattached (released) \| None \| 9 july 2012 row 4 : 8 \| mf \| xu deshuai \| sun pegasus \| free transfer (released) \| 9 july 2012 row 5 : 11 \| mf \| li haiqiang \| tuen mun \| free transfer (released) \| 9 july 2012 row 6 : 22 \| fw \| giovane alves da sil \| biu chun rangers \| free transfer (released) \| 9 july 2012 row 7 : 23 \| gk \| zhang chunhui \| sunray cave jc sun hei \| free transfer (released) \| 9 july 2012 row 8 : 26 \| mf \| chan pak hang \| sun pegasus \| free transfer (released) \| 9 july 2012 row 9 : 7 \| fw \| chan siu ki \| guangdong sunray cave \| free transfer (released) \| 10 july 2012 row 10 : None \| mf \| kot cho wai \| sunray cave jc sun hei \| undisclosed \| 16 july 2012 row 11 : 6 \| df \| wong chin hung \| biu chun rangers \| free transfer \| 9 january 2013 row 12 : 33 \| fw \| mauro rafael \| unattached (released) \| free transfer \| 1 february 2013 ] Execute this SQL based on the above table: select sum ( squad # ) where fee > ( select fee where player = 'mauro rafael da silva' )	97.0
[ header: # \| title \| songwriters \| producer(s) \| performer row 1 : 1 \| "shalom a leck" \| p. chapman, k-de \| k-def \| tragedy row 2 : 2 \| "hoodlum intro" \| None \| None \| interlude row 3 : 3 \| "underground" \| p. chapman, k-de \| k-def \| tragedy row 4 : 4 \| "funk mode" \| p. chapman, k-de \| k-def \| tragedy row 5 : 5 \| "grand groove" \| p. chapman, k-de \| k-def \| tragedy row 6 : 6 \| "at large" \| p. chapman, k-de \| k-def, marley marl \| tragedy row 7 : 7 \| "death row" \| p. chapman, k-de \| k-def, marley marl \| tragedy row 8 : 8 \| "speech [check the time]" \| None \| kool tee \| interlude row 9 : 9 \| "mad brothas know his name" \| p. chapman, k-de \| k-def, marley marl \| tragedy row 10 : 10 \| "pass the teck" \| p. chapman, k-de \| k-def \| tragedy, havoc row 11 : 11 \| "street life" \| p. chapman, epitome of \| epitome of scratch \| tragedy row 12 : 12 \| "pump the funk" \| p. chapman, m. will \| marley marl \| tragedy row 13 : 13 \| "role model" \| p. chapman, koo \| kool tee \| tragedy row 14 : 14 \| "the posse [shoot \| p. chapman, mr. \| mr. freaknasti \| tragedy row 15 : 15 \| "grand groove [bonus mix]" \| p. chapman, k-de \| k-def \| tragedy row 16 : 16 \| "funky roll outro" \| None \| None \| interlude ] Execute this SQL based on the above table: select performer order by # asc limit 1	tragedy
[ header: team \| competition \| category \| appearances start \| appearances sub \| goals \| team record row 1 : japan \| 2006 afc u-17 championship qualification \| u-15 \| 1 \| 0 \| 0 \| qualified row 2 : japan \| 2006 afc u-17 championship \| u-16 \| 4 \| 1 \| 4 \| champions row 3 : japan \| 2007 fifa u-17 world cup \| u-17 \| 1 \| 2 \| 2 \| round 1 row 4 : japan \| 2008 afc youth championship qualification \| u-18 \| 4 \| 0 \| 2 \| qualified row 5 : japan \| 2008 afc u-19 championship \| u-19 \| 1 \| 1 \| 0 \| quarterfinal row 6 : japan \| 2013 eaff east asian cup \| senior \| 2 \| 0 \| 3 \| champions ] Execute this SQL based on the above table: select team record where appearances start = 1	qualified, round 1, quarterfinal
[ header: name \| animal type \| introduced \| reintroduced \| retired \| beanie baby resembled row 1 : antlers \| moose \| None \| 1999 (neon) \| 1999 \| chocolate row 2 : baba \| lamb \| None \| 1999 (neon) \| 1999 \| fleece row 3 : bruiser \| bulldog \| 1997 \| None \| None \| wrinkles row 4 : carrots \| bunny \| None \| 1999 (neon) \| 1999 \| ears, but pink instead of brown row 5 : chewy \| None \| None \| 1999 (neon) \| 1999 \| None row 6 : clover \| bunny \| 1998 \| None \| None \| ears, but white instead of brown row 7 : foxy \| fox \| None \| None \| None \| sly row 8 : glide \| porpoise \| None \| None \| None \| echo the dolphin row 9 : huggy \| bear \| 1995 \| 1999 (neon) \| 1999 \| cubbie, but yellow instead of brown row 10 : meow \| cat \| 1997 \| 1999 (neon) \| 1999 \| snip row 11 : moo \| cow \| 1995 \| None \| None \| daisy, but with white body instead of row 12 : oink \| pig \| 1995 \| None \| None \| squealer row 13 : paddles \| platypus \| None \| 1999 (neon) \| 1999 \| patti row 14 : purr \| tiger \| None \| None \| None \| stripes, but yellow-orange instead of orange row 15 : red \| bull \| None \| None \| None \| snort row 16 : ribbit (all-green) \| frog \| 1995 \| 1999 (neon) \| 1999 \| legs row 17 : ribbit (green-yellow) \| frog \| None \| None \| None \| smoochy row 18 : sherbert \| tie-dye bear \| 1998 \| 1999 (neon) \| 1999 \| sammy row 19 : snap (all-yellow) \| turtle \| 1995 \| None \| None \| speedy, but yellow instead of green row 20 : snap (yellow-green) \| turtle \| None \| 1999 (neon) \| None \| peekaboo row 21 : snuggy \| bear \| 1995 \| None \| None \| cubbie, but pink instead of brown row 22 : sparkler \| bear \| None \| None \| 1999 \| spangle row 23 : speckles \| leopard \| None \| None \| None \| freckles row 24 : spotty \| dalmatian \| None \| None \| None \| dotty row 25 : squirt \| elephant \| None \| 1999 (neon) \| 1999 \| peanut row 26 : swinger \| monkey \| None \| 1999 (neon) \| 1999 \| bongo row 27 : tide \| whale \| None \| None \| None \| splash row 28 : tubby \| hippopotamus \| None \| None \| None \| happy row 29 : woof \| dog \| 1995 \| 1999 (neon) \| 1999 \| bones row 30 : zulu \| zebra \| None \| None \| None \| ziggy, but pink-green instead of black ] Execute this SQL based on the above table: select count ( name )	30
[ header: event \| record \| athlete(s) \| date \| time (s) row 1 : bobsleigh - two-man \| start \| beat hefti & thomas \| 6 february 2009 \| 4.7 row 2 : bobsleigh - two-man \| track \| thomas florschutz & \| 20 february 2010 21 february 2010 \| 51.57 row 3 : bobsleigh - four-man \| start \| andre lange, kevin kuske \| 26 february 2010 \| 4.7 row 4 : bobsleigh - four-man \| track \| steve holcomb, justin \| 26 february 2010 \| 50.86 row 5 : bobsleigh - two-woman \| start \| kaillie humphries \| 23 february 2010 24 february 2010 \| 5.11 row 6 : bobsleigh - two-woman \| track \| kaillie humphries \| 24 february 2010 \| 52.85 row 7 : men's skeleton \| start \| alexander tretiakov (rus \| 18 february 2010 \| 4.48 row 8 : men's skeleton \| track \| jon montgomery (can) \| 19 february 2010 \| 52.2 row 9 : women's skeleton \| start \| anja huber (ger) \| 18 february 2010 \| 4.9 row 10 : women's skeleton \| track \| amy williams (gbr \| 19 february 2010 \| 53.68 row 11 : luge - men's singles \| start \| andi langenhan (ger) \| 21 february 2009 \| 3.541 row 12 : luge - men's singles \| track \| felix loch (ger) \| 21 february 2009 \| 46.808 row 13 : luge - women's singles \| start \| natalie geisenberger (ger \| 20 february 2009 \| 7.183 row 14 : luge - women's singles \| track \| natalie geisenberger (ger \| 20 february 2009 \| 48.992 row 15 : luge - men's doubles \| start \| tobias wendl & tobia \| 20 february 2009 \| 7.054 row 16 : luge - men's doubles \| track \| patric leitner & alexander \| 20 february 2009 \| 48.608 ] Execute this SQL based on the above table: select count ( * ) where record is null	0
[ header: event \| meeting gaz de france paris \| golden gala rome \| bislett games oslo \| weltklasse zurich \| memorial van damme brussels \| istaf berlin row 1 : 100 m \| christine arron (fra \| christine arron (fra \| christine arron (fra \| veronica campbell (jam) 10. \| christine arron (fra \| christine arron (fra row 2 : 200 m \| None \| None \| None \| None \| cydonie mothersille ( \| None row 3 : 400 m \| tonique williams-darling ( \| sanya richards (usa \| None \| sanya richards (usa \| None \| None row 4 : 800 m \| svetlana cherkas \| hasna benhassi (mar) \| tatyana andrianova (rus) \| zulia calatayu \| mayte martinez (esp \| zulia calatayu row 5 : 1500 m \| olga yegorova \| mestawat tadesse \| None \| None \| None \| None row 6 : 3000 m / 5000 m \| edith masai (ken) 8:31 \| None \| maryam yusuf jamal \| maryam yusuf jamal \| None \| None row 7 : 3000 m / 5000 m \| None \| tirunesh dibaba (eth \| None \| None \| meseret defar (eth \| berhane adere (e row 8 : 100 m hurdles \| joanna hayes (usa) 12. \| anjanette kirkland (usa \| None \| michelle perry (usa) 12.55 \| None \| brigitte foster-hylton row 9 : 400 m hurdles \| lashinda demus (usa \| lashinda demus (usa \| sandra glover (usa) \| yuliya pechonkina \| lashinda demus (usa \| sandra glover (usa) row 10 : long jump \| None \| None \| None \| None \| tatyana kotova (rus) \| None row 11 : triple jump \| tatyana lebedeva (rus) \| tatyana lebedeva (rus) \| tatyana lebedeva (rus) \| tatyana lebedeva (rus) \| tatyana lebedeva (rus) \| tatyana lebedeva (rus) row 12 : high jump \| None \| None \| amy acuff (usa) \| None \| None \| None row 13 : pole vault \| None \| None \| None \| None \| yelena isinbayeva ( \| None row 14 : discus throw \| None \| None \| None \| None \| None \| natalya sadova (rus) 64 row 15 : shot put \| None \| None \| None \| None \| None \| nadine kleinert (ger) ] Execute this SQL based on the above table: select ( select count ( * ) where meeting gaz de france paris = 'lashinda demus (usa) 53.85' ) > 41	0
[ header: no. \| constituency \| winner candidate \| party \| votes \| margin row 1 : 6 \| rapar \| patel vaghajibhai \| bjp \| 55280 \| 9216 row 2 : 11 \| vadgam \| manilal jethabhai vaghe \| inc \| 90375 \| 21839 row 3 : 12 \| palanpur \| patel maheshkumar amrut \| inc \| 75097 \| 5284 row 4 : 16 \| radhanpur \| thakor nagarji \| bjp \| 69493 \| 3834 row 5 : 20 \| kheralu \| bharatsinhji da \| bjp \| 68195 \| 18386 row 6 : 33 \| prantij \| baraiya mahendrasin \| inc \| 76097 \| 7014 row 7 : 34 \| dehgam \| kaminiba rathod \| inc \| 61043 \| 2297 row 8 : 52 \| jamalpur-khadia \| bhatt bhushan ash \| bjp \| 48058 \| 6331 row 9 : 59 \| dhandhuka \| kolipatel lalji \| bjp \| 77573 \| 28277 row 10 : 65 \| morbi \| kantilal amrutiya \| bjp \| 77386 \| 2760 row 11 : 68 \| rajkot east \| rajguru indranil san \| inc \| 60877 \| 4272 row 12 : 82 \| dwarka \| pabubha virambha man \| bjp \| 70062 \| 5616 row 13 : 90 \| somnath \| barad jasabhai \| inc \| 56701 \| 2096 row 14 : 103 \| bhavnagar rural \| parshottam solanki \| bjp \| 83980 \| 18554 row 15 : 109 \| borsad \| parmar rajendrasinh d \| inc \| 83621 \| 21034 row 16 : 113 \| petlad \| niranjan patel \| inc \| 77312 \| 12192 row 17 : 117 \| mahemdabad \| gautambhai ravj \| inc \| 68767 \| 4181 row 18 : 119 \| thasra \| parmar ramsinh prab \| inc \| 78226 \| 5500 row 19 : 122 \| lunawada \| malivad kalubhai hirab \| bjp \| 72814 \| 3701 row 20 : 124 \| shehra \| ahir jethabhai ghe \| bjp \| 76468 \| 28725 row 21 : 126 \| godhra \| c. k. raul \| inc \| 73367 \| 2868 row 22 : 128 \| halol \| parmar jaydrathsinh \| bjp \| 93854 \| 33206 row 23 : 130 \| jhalod \| garasiya miteshbha \| inc \| 78077 \| 40073 row 24 : 134 \| devgadh baria \| bachu khabad \| bjp \| 113582 \| 83753 row 25 : 135 \| savli \| inamdar ketanbhai ma \| independent \| 62849 \| 20319 row 26 : 136 \| vaghodia \| shrivastav madhubhai bab \| bjp \| 65851 \| 5788 ] Execute this SQL based on the above table: select no. where party = 'inc' and winner candidate = 'patel maheshkumar amrutlal' intersect select no. where party = 'inc' and winner candidate = 'patel maheshkumar amrutlal'	12
[ header: pos. \| athlete \| run 1 \| run 2 \| total row 1 : 1 \| aronne pieruz \| 50.39 \| 58.25 \| 1:48.64 row 2 : 2 \| filip trejbal \| 50.68 \| 58.84 \| 1:49.52 row 3 : 3 \| adam cole \| 51.4 \| 58.51 \| 1:49.91 row 4 : 4 \| tague thorson \| 51.2 \| 59.13 \| 1:50.33 row 5 : 5 \| jan urfer \| 51.54 \| 59.1 \| 1:50.64 row 6 : 6 \| charles christianson \| 51.75 \| 58.91 \| 1:50.66 row 7 : 7 \| francesco ghedina \| 51.37 \| 59.39 \| 1:50.94 row 8 : 8 \| luca moretti \| 52.05 \| 58.89 \| 1:51.17 row 9 : 9 \| cameron barnes \| 51.66 \| 59.51 \| 1:51.37 row 10 : 10 \| martin vrablik \| 52.77 \| 58.6 \| 1:51.48 ] Execute this SQL based on the above table: select abs ( athlete - athlete ) where athlete = 'luca moretti'	0
[ header: number \| author \| first line \| notes row 1 : 1 \| william shakespeare \| "when my love swears that she is made \| first publication, later appears as sonnet 138 row 2 : 2 \| william shakespeare \| "two loves i have, of comfort and \| first publication, later appears as sonnet 144 row 3 : 3 \| william shakespeare \| "did not the heavenly rhetoric of thine \| a version of longaville's son row 4 : 4 \| None \| "sweet cytherea, sitting by \| on the theme of venus and adon row 5 : 5 \| william shakespeare \| "if love make me forsworn, how \| a version of berowne's row 6 : 6 \| None \| "scarce had the sun dried up the \| on the theme of venus and adon row 7 : 7 \| None \| "fair is my love, but not so fair \| in the same six-line stanza row 8 : 8 \| richard barnfield \| "if music and sweet poetry agree" \| first published in poems in diverse humours row 9 : 9 \| None \| "fair was the morn when the fair queen \| on the theme of venus and adon row 10 : 10 \| None \| "sweet rose, fair flower, untimely \| in the same six-line stanza row 11 : 11 \| bartholomew griffin \| "venus, with young adonis sitting \| printed in fidessa (1596). on row 12 : 12 \| thomas deloney? \| "crabbed age and youth cannot live together \| was reprinted with additional stanza row 13 : 13 \| None \| "beauty is but a va \| in the same six-line stanza row 14 : 14 \| None \| "good-night, good rest, a \| in the same six-line stanza row 15 : 15 \| None \| "it was a lording' \| None row 16 : 16 \| william shakespeare \| "on a day (alack the day \| dumaine's poem to catherine row 17 : 18 \| None \| "when as thine eye hath chose \| three versions of the poem exist in manuscript miscell row 18 : 20 \| richard barnfield \| "as it fell upon a day" \| first published in poems in divers humors (1598 ] Execute this SQL based on the above table: select number order by author asc limit 1	4
[ header: player \| hr \| date reached 500 hr \| team \| seasons played row 1 : barry bonds \| 762 \| april 17, 2001 \| san francisco giants \| 1986-2007 row 2 : hank aaron \| 755 \| july 14, 1968 \| atlanta braves \| 1954-1976 row 3 : babe ruth \| 714 \| august 11, 1929 \| new york yankees \| 1914-1935 row 4 : willie mays \| 660 \| september 13, 1965 \| san francisco giants \| 1951-1952, 1954-1973 row 5 : alex rodriguez \| 654 \| august 4, 2007 \| new york yankees \| 1994- row 6 : ken griffey, jr \| 630 \| june 20, 2004 \| cincinnati reds \| 1989-2010 row 7 : jim thome \| 612 \| september 16, 2007 \| chicago white sox \| 1991-2012 row 8 : sammy sosa \| 609 \| april 4, 2003 \| chicago cubs \| 1989-2005, 2007 row 9 : frank robinson \| 586 \| september 13, 1971 \| baltimore orioles \| 1956-1976 row 10 : mark mcgwire \| 583 \| august 5, 1999 \| st. louis cardinals \| 1986-2001 row 11 : harmon killebrew \| 573 \| august 10, 1971 \| minnesota twins \| 1954-1975 row 12 : rafael palmeiro \| 569 \| may 11, 2003 \| texas rangers \| 1986-2005 row 13 : reggie jackson \| 563 \| september 17, 1984 \| california angels \| 1967-1987 row 14 : manny ramirez \| 555 \| may 31, 2008 \| boston red sox \| 1993-2011 row 15 : mike schmidt \| 548 \| april 18, 1987 \| philadelphia phillies \| 1972-1989 row 16 : mickey mantle \| 536 \| may 14, 1967 \| new york yankees \| 1951-1968 row 17 : jimmie foxx \| 534 \| september 24, 1940 \| boston red sox \| 1925-1942, 1944-1945 row 18 : ted williams \| 521 \| june 17, 1960 \| boston red sox \| 1939-1942, 1946-1960 row 19 : willie mccovey \| 521 \| june 30, 1978 \| san francisco giants \| 1959-1980 row 20 : frank thomas \| 521 \| june 28, 2007 \| toronto blue jays \| 1990-2008 row 21 : ernie banks \| 512 \| may 12, 1970 \| chicago cubs \| 1953-1971 row 22 : eddie mathews \| 512 \| july 14, 1967 \| houston astros \| 1952-1968 row 23 : mel ott \| 511 \| august 1, 1945 \| new york giants \| 1926-1947 row 24 : gary sheffield \| 509 \| april 17, 2009 \| new york mets \| 1988-2009 row 25 : eddie murray \| 504 \| september 6, 1996 \| baltimore orioles \| 1977-1997 ] Execute this SQL based on the above table: select count ( * ) where date reached 500 hr in ( 'jimmie foxx' , 'september 13, 1971' )	1
[ header: year \| title \| role \| notes row 1 : 2006 \| save the last dance 2 \| mixx \| direct to video row 2 : 2007 \| nick cannon/wild 'n \| himself \| improv comedy row 3 : 2007 \| stomp the yard \| rich brown \| film row 4 : 2011 \| csi: ny \| the hitman \| episode 7.14 "smooth criminal" row 5 : 2011 \| the fresh beat band \| himself \| special episode "band in a jam" row 6 : 2011 \| battle: los angeles \| specks \| film row 7 : 2012 \| empire girls: julissa \| himself \| reality-show row 8 : 2012 \| red tails \| andrew 'smoky' \| film row 9 : 2012 \| i heart tuesdays \| none \| (tv), creator row 10 : 2012 \| the x factor \| guest mentor \| None row 11 : 2012 \| never mind the buzzcocks \| guest host \| None row 12 : 2012 \| 90210 \| guest star \| None ] Execute this SQL based on the above table: select count ( year ) where year > 636	12
[ header: year \| date \| winner \| make \| pole \| make \| results row 1 : 1970 \| october 4 \| dave sorg \| mercury \| ron north \| oldsmobile \| report row 2 : 1971 \| october 3 \| denny miles \| chevrolet \| les snow \| plymouth \| report row 3 : 1972 \| october 1 \| dave sorg \| chevrolet \| larry moore \| chevrolet \| report row 4 : 1975 \| september 28 \| bob senneker \| chevrolet \| larry moore \| chevrolet \| report row 5 : 1976 \| october 4 \| bob senneker \| chevrolet \| bob senneker \| chevrolet \| report row 6 : 1977 \| october 2 \| bob senneker \| chevrolet \| bob senneker \| chevrolet \| report row 7 : 1980 \| october 5 \| terry senneker \| chevrolet \| mark martin \| chevrolet \| report row 8 : 1983 \| october 2 \| mike eddy \| pontiac \| dick trickle \| pontiac \| report row 9 : 1985 \| september 29 \| mark martin \| ford \| mark martin \| ford \| report row 10 : 1986 \| october 5 \| mark martin \| ford \| mark martin \| pontiac \| report row 11 : 1989 \| october 1 \| butch miller \| chevrolet \| kenny wallace \| pontiac \| report row 12 : 1990 \| september 30 \| bob senneker \| chevrolet \| dave jackson \| chevrolet \| report row 13 : 1992 \| october 4 \| tim steele \| chevrolet \| mike garvey \| ford \| report row 14 : 1993 \| october 3 \| mike cope \| oldsmobile \| hal goodson \| ford \| report row 15 : 1995 \| october 1 \| mike cope \| chevrolet \| ron barfield, jr \| ford \| report row 16 : 1999 \| september 26 \| brian ross \| chevrolet \| matt hagans \| ford \| report row 17 : 2000 \| october 1 \| gary st. amant \| chevrolet \| larry foyt \| pontiac \| report row 18 : 2001 \| september 23 \| joey clanton \| chevrolet \| david stremme \| ford \| report row 19 : 2002 \| october 6 \| gary st. amant \| chevrolet \| david stremme \| chevrolet \| report row 20 : 2003 \| october 5 \| bobby parsley \| chevrolet \| dave jackson \| chevrolet \| report row 21 : 2004 \| None \| None \| None \| None \| None \| None row 22 : 2005 \| None \| None \| None \| None \| None \| None row 23 : 2006 \| october 15 \| scott hantz \| chevrolet \| danny jackson \| None \| report row 24 : 2008 \| october 12 \| david stremme \| dodge \| chris gabehart \| None \| report row 25 : 2009 \| october 18 \| kyle busch \| toyota \| chris gabehart \| None \| report row 26 : 2010 \| october 17 \| chase elliott \| ford \| johnny vandoorn \| None \| report row 27 : 2012 \| october 14 \| ross kenseth \| ford \| rick turner \| ford \| report row 28 : 2013 \| october 13 \| erik jones \| toyota \| chase elliott \| chevrolet \| report ] Execute this SQL based on the above table: select winner group by winner order by count ( * ) desc limit 1	bob senneker
[ header: rank \| athlete \| country \| time \| behind \| points row 1 : 1 \| sven kramer \| netherlands \| 01:53.98 \| 0 \| 37.993 row 2 : 2 \| sverre lunde peder \| norway \| 1:54.87 \| 0.89 \| 38.29 row 3 : 3 \| jan blokhuijsen \| netherlands \| 1:54.93 \| 0.95 \| 38.31 row 4 : 4 \| denis yuskov \| russia \| 1:55.13 \| 1.15 \| 38.376 row 5 : 5 \| koen verweij \| netherlands \| 1:55.42 \| 1.44 \| 38.473 row 6 : 6 \| haralds silovs \| latvia \| 1:55.48 \| 1.5 \| 38.493 row 7 : 7 \| zbigniew brodka \| poland \| 1:55.98 \| 2 \| 38.66 row 8 : 8 \| bart swings \| belgium \| 1:56.08 \| 2.1 \| 38.693 row 9 : 9 \| havard bøkko \| norway \| 1:56.35 \| 2.37 \| 38.783 row 10 : 10 \| jan szymanski \| poland \| 1:56.55 \| 2.57 \| 38.85 row 11 : 11 \| bram smallenbroek \| austria \| 1:57.44 \| 3.46 \| 39.146 row 12 : 12 \| alexis contin \| france \| 1:57.58 \| 3.6 \| 39.193 row 13 : 13 \| benjamin mace \| france \| 1:57.80 \| 3.82 \| 39.266 row 14 : 14 \| konrad niedzwiedzki \| poland \| 1:57.92 \| 3.94 \| 39.306 row 15 : 15 \| sergey gryaztso \| russia \| 1:58.73 \| 4.75 \| 39.576 row 16 : 16 \| patrick beckert \| germany \| 1:59.08 \| 5.1 \| 39.693 row 17 : 17 \| kristian reistad \| norway \| 1:59.19 \| 5.21 \| 39.73 row 18 : 18 \| luca stefani \| italy \| 1:59.82 \| 5.84 \| 39.94 row 19 : 19 \| marco cignini \| italy \| 1:59.97 \| 5.99 \| 39.99 row 20 : 20 \| ferre spruyt \| belgium \| 2:00.00 \| 6.02 \| 40 row 21 : 21 \| vitaly mikhailov \| belarus \| 2:00.75 \| 6.77 \| 40.52 row 22 : 22 \| milan sablik \| czech republic \| 2:00.95 \| 6.97 \| 40.316 row 23 : 23 \| ted jan bloemen \| netherlands \| 2:01.58 \| 7.6 \| 40.526 row 24 : 24 \| moritz geisreiter \| germany \| 2:01.64 \| 7.66 \| 40.566 ] Execute this SQL based on the above table: select time where athlete = 'patrick beckert'	1
[ header: draw \| artist \| song \| points \| place row 1 : 1 \| mystique \| "rendez-vous" \| 25 \| 8 row 2 : 2 \| vulcano \| "met jou d'rbi \| 27 \| 5 row 3 : 3 \| bernadette \| "soms" \| 26 \| 6= row 4 : 4 \| deuce \| "computer games" \| 26 \| 6= row 5 : 5 \| music hall \| "stop die show" \| 54 \| 3 row 6 : 6 \| mystique \| "op zo'n dag \| 8 \| 10 row 7 : 7 \| bernadette \| "sing me a song" \| 69 \| 1 row 8 : 8 \| vulcano \| "een beetje van dit \| 68 \| 2 row 9 : 9 \| deuce \| "stopwatch" \| 20 \| 9 row 10 : 10 \| music hall \| "voulez-vous danser" \| 37 \| 4 ] Execute this SQL based on the above table: select place where draw = 8 and song = '"een beetje van dit"'	2
[ header: year \| team \| games \| carries \| yards \| yards per carry \| longest carry \| touchdowns \| first downs \| fumbles \| fumbles lost row 1 : 2002 \| gb \| 8 \| 39 \| 184 \| 4.7 \| 43 \| 1 \| 8 \| 1 \| 1 row 2 : 2003 \| gb \| 15 \| 77 \| 420 \| 5.5 \| 76 \| 2 \| 18 \| 4 \| 1 row 3 : 2004 \| gb \| 11 \| 71 \| 359 \| 5.1 \| 40 \| 2 \| 16 \| 0 \| 0 row 4 : 2005 \| gb \| 5 \| 30 \| 105 \| 3.5 \| 24 \| 2 \| 9 \| 1 \| 0 row 5 : 2006 \| pit \| 13 \| 60 \| 221 \| 3.7 \| 48 \| 1 \| 9 \| 1 \| 0 row 6 : 2007 \| pit \| 15 \| 107 \| 499 \| 4.7 \| 45 \| 5 \| 37 \| 1 \| 0 row 7 : 2008 \| pit \| 4 \| 2 \| 5 \| 2.5 \| 3 \| 0 \| 2 \| 0 \| 0 row 8 : 2008 \| ind \| 2 \| 8 \| 26 \| 3.3 \| 8 \| 0 \| 1 \| 0 \| 0 row 9 : career \| None \| 73 \| 394 \| 1819 \| 4.6 \| 76 \| 13 \| 100 \| 8 \| 2 ] Execute this SQL based on the above table: select avg ( touchdowns ) where team in ( 'pit' , 'None' )	2.0
[ header: name \| gender \| age \| from \| occupation \| prize money (usd) \| status row 1 : trisha \| female \| 28 \| santa monica, ca \| artist \| $26,000 \| winner row 2 : london \| male \| 46 \| mt. holly, n \| us coast guard (retired) \| $0 \| lost row 3 : adria \| female \| 25 \| seattle, wa \| bartender \| $0 \| 7th captured (by ricky ort row 4 : lucas \| male \| 32 \| carlsbad, ca \| student \| $0 \| 6th captured (by kim) row 5 : andrew \| male \| 21 \| redondo beach, ca \| student / lifeguard \| $0 \| 5th captured (by kim) row 6 : tracy \| female \| 30 \| mililani, hi \| student \| $0 \| 4th captured (by grant) row 7 : lynda \| female \| 59 \| los angeles, ca \| general contractor \| $0 \| 3rd captured (by icey) row 8 : darin \| male \| 46 \| fontana, ca \| sports official \| $0 \| 2nd captured (by wong) row 9 : evan \| male \| 29 \| long island, ny \| teacher \| $2,000 \| opted out row 10 : ameenah \| female \| 34 \| atlanta, ga \| drummer \| $0 \| 1st captured (by grant) ] Execute this SQL based on the above table: select occupation where age >= 46	us coast guard (retired), general contractor, sports official
[ header: released \| title \| label \| number \| notes row 1 : 1995 \| le jazz hot \| modern hot records \| mhr 001 \| None row 2 : 1997 \| new metropolitan swing \| modern hot records \| mhr 002 \| None row 3 : january 1999 \| mystery pacific \| modern hot records \| mhr 003 \| None row 4 : may 1999 \| souvenirs \| modern hot records \| mhr 004 \| None row 5 : october 2000 \| avalon \| modern hot records \| mhr 005 \| None row 6 : may 2002 \| under paris skies \| modern hot records \| mhr 006 \| None row 7 : october 2003 \| swing 48 \| modern hot records \| mhr 008 \| None row 8 : june 2005 \| chasing shadows \| modern hot records \| mhr 009 \| None row 9 : june 2007 \| modern times \| modern hot records \| mhr 011 \| None row 10 : june 2010 \| hotel new yorker \| modern hot records \| mhr 014 \| compilation from 1995-1999 releases row 11 : june 15, 2010 \| systeme d \| modern hot records \| mhr 015 \| None row 12 : april 18, 2012 \| "eleven" \| modern hot records \| mhr 017 \| None ] Execute this SQL based on the above table: select notes group by notes order by count ( notes ) desc limit 1	compilation from 1995-1999 releases
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 5 \| jim clark \| lotus-ford \| 80 \| 1:59:25.6 \| 1 \| 9 row 2 : 2 \| 2 \| denny hulme \| brabham-repco \| 80 \| + 12.8 \| 4 \| 6 row 3 : 3 \| 8 \| chris amon \| ferrari \| 80 \| + 16.6 \| 6 \| 4 row 4 : 4 \| 1 \| jack brabham \| brabham-repco \| 80 \| + 21.8 \| 3 \| 3 row 5 : 5 \| 12 \| pedro rodriguez \| cooper-maserati \| 79 \| + 1 lap \| 9 \| 2 row 6 : 6 \| 7 \| john surtees \| honda \| 78 \| + 2 laps \| 7 \| 1 row 7 : 7 \| 15 \| chris irwin \| brm \| 77 \| + 3 laps \| 13 \| None row 8 : 8 \| 20 \| david hobbs \| brm \| 77 \| + 3 laps \| 14 \| None row 9 : 9 \| 14 \| alan rees \| cooper-maserati \| 76 \| + 4 laps \| 15 \| None row 10 : 10 \| 18 \| guy ligier \| brabham-repco \| 76 \| + 4 laps \| 21 \| None row 11 : ret \| 19 \| bob anderson \| brabham-climax \| 67 \| engine \| 17 \| None row 12 : ret \| 6 \| graham hill \| lotus-ford \| 64 \| engine \| 2 \| None row 13 : ret \| 4 \| mike spence \| brm \| 44 \| ignition \| 11 \| None row 14 : ret \| 9 \| dan gurney \| eagle-weslake \| 34 \| clutch \| 5 \| None row 15 : ret \| 22 \| silvio moser \| cooper-ats \| 29 \| oil pressure \| 20 \| None row 16 : ret \| 11 \| jochen rindt \| cooper-maserati \| 26 \| engine \| 8 \| None row 17 : ret \| 3 \| jackie stewart \| brm \| 20 \| transmission \| 12 \| None row 18 : ret \| 10 \| bruce mclaren \| eagle-weslake \| 14 \| engine \| 10 \| None row 19 : ret \| 17 \| jo siffert \| cooper-maserati \| 10 \| engine \| 18 \| None row 20 : ret \| 23 \| jo bonnier \| cooper-maserati \| 0 \| engine \| 9 \| None row 21 : dns \| 16 \| piers courage \| brm \| 0 \| non starter \| None \| None ] Execute this SQL based on the above table: select time/retired group by time/retired having count ( * ) = 2	1.0, 3.0, 4.0
[ header: week \| date \| opponent \| results final score \| results team record \| venue \| attendance row 1 : 1 \| september 20 \| at detroit lions \| w 16-13 \| 1-0 \| tiger stadium \| 54,418 row 2 : 2 \| september 26 \| chicago bears \| l 20-17 \| 1-1 \| metropolitan stadium \| 47,900 row 3 : 3 \| october 3 \| buffalo bills \| w 19-0 \| 2-1 \| metropolitan stadium \| 47,900 row 4 : 4 \| october 10 \| at philadelphia eagle \| w 13-0 \| 3-1 \| veterans stadium \| 65,358 row 5 : 5 \| october 17 \| at green bay packers \| w 24-13 \| 4-1 \| lambeau field \| 56,263 row 6 : 6 \| october 25 \| baltimore colts \| w 10-3 \| 5-1 \| metropolitan stadium \| 49,784 row 7 : 7 \| october 31 \| at new york giants \| w 17-10 \| 6-1 \| yankee stadium \| 62,829 row 8 : 8 \| november 7 \| san francisco 49ers \| l 13-9 \| 6-2 \| metropolitan stadium \| 49,784 row 9 : 9 \| november 14 \| green bay packers \| w 3-0 \| 7-2 \| metropolitan stadium \| 49,784 row 10 : 10 \| november 21 \| at new orleans saints \| w 23-10 \| 8-2 \| tulane stadium \| 83,130 row 11 : 11 \| november 28 \| atlanta falcons \| w 24-7 \| 9-2 \| metropolitan stadium \| 49,784 row 12 : 12 \| december 5 \| at san diego chargers \| l 30-14 \| 9-3 \| san diego stadium \| 54,505 row 13 : 13 \| december 11 \| detroit lions \| w 29-10 \| 10-3 \| metropolitan stadium \| 49,784 row 14 : 14 \| december 19 \| at chicago bears \| w 27-10 \| 11-3 \| soldier field \| 55,049 ] Execute this SQL based on the above table: select venue where venue = 'metropolitan stadium' and week = 2	metropolitan stadium
[ header: creature (other planes) \| page \| other appearances \| variants \| description row 1 : aerial servant \| 39 \| rules cyclopedia (1991) \| None \| None row 2 : basilisk \| 39 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 3 : cockatrice \| 39 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 4 : djinni, lesser \| 39 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 5 : djinni, greater \| 39 \| rules cyclopedia (1991) \| None \| None row 6 : efreeti, lesser \| 39 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 7 : efreeti, greater \| 39-40 \| rules cyclopedia (1991) \| None \| None row 8 : elemental \| 40 \| d&d expert rules (1981), \| None \| describes additional statistics and abilities/penalties applicable row 9 : gorgon \| 40 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 10 : helion \| 40 \| rules cyclopedia (1991) \| None \| None row 11 : horde \| 41 \| rules cyclopedia (1991) \| None \| None row 12 : hydrax \| 41 \| rules cyclopedia (1991) \| None \| None row 13 : invisible stalker \| 41 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 14 : kryst \| 42 \| rules cyclopedia (1991) \| None \| None row 15 : medusa \| 42 \| d&d basic rules (1981), \| None \| describes additional abilities/penalties applicable to native row 16 : plasm \| 42 \| rules cyclopedia (1991) \| normal and giant \| None row 17 : salamander \| 42 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 18 : undine \| 42 \| rules cyclopedia (1991) \| None \| None ] Execute this SQL based on the above table: select count ( * ) where creature (other planes) > 530	18
[ header: # \| date \| opponent \| score \| win \| loss \| save \| attendance \| record row 1 : 107 \| august 3 \| red sox \| 7 - 4 \| green (5-1) \| timlin (1-1) \| putz (32) \| 46235 \| 60-47 row 2 : 110 \| august 7 \| @ orioles \| 10 - 3 \| weaver (3-10) \| walker (1-2) \| None \| 25060 \| 61-49 row 3 : 111 \| august 8 \| @ orioles \| 8 - 4 \| hernandez (8-6) \| guthrie (7-4) \| putz (33) \| 17511 \| 62-49 row 4 : 112 \| august 9 \| @ orioles \| 13 - 8 \| ramirez (7-3) \| cabrera (8-12) \| sherrill (1) \| 18679 \| 63-49 row 5 : 113 \| august 10 \| @ white sox \| 5 - 3 \| vazquez (10-6) \| washburn (8-9) \| jenks (33) \| 38586 \| 63-50 row 6 : 114 \| august 11 \| @ white sox \| 7 - 6 \| batista (12-8) \| floyd (1-2) \| putz (34) \| 38210 \| 64-50 row 7 : 115 \| august 12 \| @ white sox \| 6 - 0 \| weaver (4-10) \| danks (6-10) \| None \| 36629 \| 65-50 row 8 : 117 \| august 14 \| twins \| 11 - 3 \| garza () \| ramirez (7-4) \| None \| 33729 \| 66-51 row 9 : 118 \| august 15 \| twins \| 6 - 1 \| neshek (7-2) \| washburn (8-10) \| None \| 42921 \| 66-52 row 10 : 119 \| august 17 \| white sox \| 5 - 4 \| batista (13-8) \| contreras (6-15) \| putz (35) \| 46170 \| 67-52 row 11 : 120 \| august 18 \| white sox \| 7 - 5 \| weaver (5-10) \| danks (6-11) \| putz (36) \| 41121 \| 68-52 row 12 : 121 \| august 19 \| white sox \| 11 - 5 \| hernandez (9-6) \| garland (8-9) \| None \| 45668 \| 69-52 row 13 : 122 \| august 20 \| @ twins \| 9 - 4 \| ramirez (8-4) \| garza (2-4) \| None \| 31755 \| 70-52 row 14 : 123 \| august 21 \| @ twins \| 7 - 2 \| washburn (9-10) \| baker (6-6) \| None \| 42373 \| 71-52 row 15 : 124 \| august 22 \| @ twins \| 8 - 4 \| silva (10-12) \| batista (13-9) \| None \| 29881 \| 71-53 row 16 : 125 \| august 23 \| @ rangers \| 9 - 4 \| weaver (6-10) \| loe (6-10) \| None \| 26963 \| 72-53 row 17 : 127 \| august 25 \| @ rangers \| 5 - 3 \| benoit (7-3) \| white (1-1) \| wilson (8) \| 47977 \| 73-54 row 18 : 128 \| august 26 \| @ rangers \| 5 - 3 \| padilla (4-9) \| washburn (9-11) \| None \| 25437 \| 73-55 row 19 : 129 \| august 27 \| angels \| 6 - 0 \| lackey (16-8) \| batista (13-10) \| None \| 45998 \| 73-56 row 20 : 130 \| august 28 \| angels \| 10 - 6 \| speier (2-3) \| morrow (3-3) \| None \| 44395 \| 73-57 row 21 : 131 \| august 29 \| angels \| 8 - 2 \| weaver (10-6) \| hernandez (10-7) \| None \| 46047 \| 73-58 row 22 : 132 \| august 30 \| @ indians \| 6 - 5 \| borowski (3-5) \| o'flaherty (7- \| None \| 25949 \| 73-59 ] Execute this SQL based on the above table: select attendance where attendance > 1948 order by attendance asc limit 1	17511
[ header: score \| 2007 \| 2008 \| 2009 \| 2010 \| 2011 \| 2012 \| 2013 row 1 : 5 \| 15.3% \| 18.4% \| 18.0% \| 17.1% \| 17.0% \| 16.4% \| 18.9% row 2 : 4 \| 18.0% \| 17.5% \| 17.9% \| 18.5% \| 18.4% \| 19.3% \| 21.5% row 3 : 3 \| 23.0% \| 20.0% \| 20.2% \| 19.3% \| 19.5% \| 20.1% \| 18.8% row 4 : 2 \| 18.5% \| 14.3% \| 14.2% \| 12.7% \| 14.6% \| 15.0% \| 14.9% row 5 : 1 \| 25.3% \| 29.9% \| 29.8% \| 32.3% \| 30.4% \| 29.2% \| 26.0% row 6 : mean \| 2.79 \| 2.8 \| 2.8 \| 2.76 \| 2.77 \| 2.79 \| 2.92 row 7 : number of students \| 97136 \| 100586 \| 104789 \| 115077 \| 122651 \| 132425 \| 140006 ] Execute this SQL based on the above table: select 2007 where 2007 in ( '23.0%' , '23.0%' ) group by 2007 order by count ( * ) desc limit 1	23.0%
[ header: rnd \| date \| location \| laps \| distance \| time \| speed (km/h) \| winner \| pole position \| most leading laps \| fastest race lap row 1 : 1 \| january 24 \| walt disney world speedway, flori \| 200 \| 200 mi (320 km) \| 2'06:04.000 \| 153.186 \| tony stewart \| tony stewart \| tony stewart \| kenny brack row 2 : 2 \| march 22 \| phoenix international raceway, ari \| 200 \| 200 mi (320 km) \| 2'02:18.735 \| 157.888 \| scott sharp \| jeff ward \| tony stewart \| tony stewart row 3 : 3 \| may 24 \| indianapolis motor speedway, indian \| 200 \| 500 mi (800 km) \| 3'26:40.524 \| 233.598 \| eddie cheever \| billy boat \| eddie cheever \| tony stewart row 4 : 4 \| june 6 \| texas motor speedway, tex \| 208 \| 312 mi (502 km) \| 2'08:45.543 \| 233.973 \| billy boat \| tony stewart \| billy boat \| tony stewart row 5 : 5 \| june 28 \| new hampshire international speedway, new \| 200 \| 211.6 mi (340.5 km) \| 1'51:30.262 \| 183.237 \| tony stewart \| billy boat \| tony stewart \| davey hamilton row 6 : 6 \| july 19 \| dover international speedway, delaware \| 248 \| 248 mi (399 km) \| 2'29:49.262 \| 159.833 \| scott sharp \| tony stewart \| scott sharp \| greg ray row 7 : 7 \| july 25 \| lowe's motor speedway, north car \| 208 \| 312 mi (502 km) \| 1'58:10.555 \| 254.926 \| kenny brack \| tony stewart \| kenny brack \| kenny brack row 8 : 8 \| august 16 \| pikes peak international raceway, colorad \| 200 \| 200 mi (320 km) \| 1'29:52.649 \| 214.866 \| kenny brack \| billy boat \| jeff ward \| jeff ward row 9 : 9 \| august 29 \| atlanta motor speedway, georgi \| 200 \| 312 mi (502 km) \| 2'17:15.289 \| 225.343 \| kenny brack \| billy boat \| scott goodyear \| billy boat row 10 : 10 \| september 20 \| texas motor speedway, tex \| 208 \| 312 mi (502 km) \| 2'21:53.557 \| 212.316 \| john paul, jr \| billy boat \| tony stewart \| jeff ward row 11 : 11 \| october 11 \| las vegas motor speedway, \| 208 \| 312 mi (502 km) \| 2'18:19.202 \| 217.8 \| arie luyendyk \| billy boat \| arie luyendyk \| arie luyendyk ] Execute this SQL based on the above table: select location where id = ( select id where fastest race lap = 'kenny brack' ) + 1	phoenix international raceway, arizona
[ header: publication \| score \| review row 1 : 1up.com \| b \| → row 2 : weekly famitsu \| 36 of 40 \| print row 3 : gamepro.com \| 6.5 of 10 \| → row 4 : gamespot \| 7.5 of 10 \| → row 5 : hardcore gamer magazine \| 9.5 of 10 \| print row 6 : ign.com \| 7.9 of 10 \| → row 7 : nintendo power \| 8 of 10 \| print row 8 : play magazine \| 7 of 10 \| print row 9 : metacritic \| 76 of 100 \| → ] Execute this SQL based on the above table: select review where publication = 'gamepro.com'	→
[ header: name \| rural municipality (rm) \| population (2011) \| population (2006) \| change (%) \| land area (km2) \| population density (per km2) row 1 : assiniboia \| lake of the rivers no. 72 \| 2418 \| 2305 \| 4.9 \| 3.78 \| 639.8 row 2 : bengough \| bengough no. 40 \| 313 \| 337 \| -7.1 \| 1.07 \| 292 row 3 : bienfait \| coalfields no. 4 \| 780 \| 748 \| 4.3 \| 3.09 \| 252.4 row 4 : big river \| big river no. 555 \| 639 \| 728 \| -12.2 \| 2.51 \| 255 row 5 : birch hills \| birch hills no. 460 \| 1064 \| 935 \| 13.8 \| 2.27 \| 468.4 row 6 : broadview \| elcapo no. 154 \| 574 \| 611 \| -6.1 \| 2.45 \| 233.8 row 7 : bruno \| bayne no. 371 \| 574 \| 495 \| 16 \| 0.95 \| 606.1 row 8 : churchbridge \| churchbridge no. 211 \| 743 \| 704 \| 5.5 \| 2.76 \| 269.2 row 9 : craik \| craik no. 222 \| 453 \| 408 \| 11 \| 3.02 \| 150 row 10 : govan \| last mountain valley no. 250 \| 216 \| 232 \| -6.9 \| 1.35 \| 159.7 row 11 : kindersley \| kindersley no. 290 \| 4678 \| 4412 \| 6 \| 12.55 \| 372.8 row 12 : kipling \| kingsley no. 124 \| 1051 \| 973 \| 8 \| 2.15 \| 487.9 row 13 : lampman \| browning no. 34 \| 713 \| 634 \| 12.5 \| 2.23 \| 319.9 row 14 : leader \| happyland no. 231 \| 821 \| 881 \| -6.8 \| 1.71 \| 481.2 row 15 : lemberg \| abernethy no. 186 \| 274 \| 255 \| 7.5 \| 2.67 \| 102.7 row 16 : lumsden \| lumsden no. 189 \| 1631 \| 1523 \| 7.1 \| 4.06 \| 402 row 17 : maple creek \| maple creek no. 111 \| 2176 \| 2198 \| -1 \| 4.42 \| 492.1 row 18 : milestone \| brock no. 64 \| 618 \| 562 \| 10 \| 2.17 \| 284.4 row 19 : morse \| morse no. 165 \| 240 \| 236 \| 1.7 \| 1.45 \| 165.7 row 20 : naicam \| pleasantdale no. 398 \| 686 \| 690 \| -0.6 \| 1.69 \| 405.5 row 21 : nipawin \| nipawin no. 487 \| 4265 \| 4076 \| 4.6 \| 8.71 \| 489.4 row 22 : osler \| corman park no. 344 \| 1088 \| 926 \| 17.5 \| 1.55 \| 700.6 row 23 : pilot butte \| mcleod no. 185 \| 1848 \| 1872 \| -1.3 \| 5.05 \| 365.6 row 24 : porcupine plain \| porcupine no. 395 \| 855 \| 783 \| 9.2 \| 2.27 \| 377.2 row 25 : preeceville \| preeceville no. 334 \| 1070 \| 1050 \| 1.9 \| 3.06 \| 350.2 row 26 : rouleau \| redburn no. 130 \| 453 \| 400 \| 13.3 \| 1.61 \| 282.2 row 27 : shaunavon \| grassy creek no. 78 \| 1756 \| 1691 \| 3.8 \| 5.1 \| 344.2 row 28 : springside \| st. philips no. \| 534 \| 513 \| 4.1 \| 0.68 \| 791 row 29 : star city \| star city no. 428 \| 460 \| 428 \| 7.5 \| 0.7 \| 661.1 row 30 : strasbourg \| mckillop no. 220 \| 752 \| 732 \| 2.7 \| 5.7 \| 132 ] Execute this SQL based on the above table: select rural municipality (rm) where id = ( select id where rural municipality (rm) = 'coalfields no. 4' ) + 1	big river no. 555
[ header: year \| representative \| hometown \| placement in miss nepal \| special awards at miss nepal \| placement in miss pokhara row 1 : 1995 \| rita gurung \| pamee \| 1st runner up \| None \| winner row 2 : 1996 \| binita gurung \| batulichor \| 2nd runner up \| None \| winner row 3 : 1997 \| neelima gurung \| nadipur \| winner \| miss personality \| winner row 4 : 1998 \| sunita ranjit \| lakeside \| None \| None \| winner row 5 : 1999 \| kripa gurung \| tersapatti \| 2nd runner up \| miss photogenic \| winner row 6 : 2004 \| anita gurung \| bajapatan \| 2nd runner up \| miss talent \| miss paschimanchal 2003 row 7 : 2005 \| chandra gurung \| ghorepatan \| None \| None \| None row 8 : 2011 \| madina begum \| pokreli \| None \| miss perseverance \| None row 9 : 2012 \| dilasha gc \| chindata \| None \| None \| None row 10 : 2013 \| sipora gurung \| mahendrapool \| 3rd runner up \| miss talent \| None row 11 : 2014 \| rashmi adhikari \| goripatan \| None \| None \| winner ] Execute this SQL based on the above table: select count ( * ) where special awards at miss nepal = 'miss talent'	2
[ header: rank \| athlete \| nationality \| time row 1 : None \| moses tanui \| kenya \| 1:01:45 row 2 : None \| paul yego \| kenya \| 1:01:46 row 3 : 4 \| antonio serrano \| spain \| 1:01:56 row 4 : 7 \| herder vazquez \| colombia \| 1:02:32 row 5 : 8 \| nobuyuki sato \| japan \| 1:02:36 row 6 : 10 \| joaquim pinheiro \| portugal \| 1:02:40 row 7 : 13 \| danilo goffi \| italy \| 1:02:49 row 8 : 14 \| oleg strizhakov \| russia \| 1:02:54 row 9 : 18 \| muhammed nazipov \| russia \| 1:03:02 row 10 : 23 \| meck mothuli \| south africa \| 1:03:25 row 11 : 39 \| juan antonio crespo \| spain \| 1:04:12 row 12 : 46 \| daniel held \| united states \| 1:04:30 row 13 : 53 \| kaare sørensen \| denmark \| 1:04:51 row 14 : 59 \| kingston maringe \| zimbabwe \| 1:05:12 row 15 : 60 \| abel chimukoko \| zimbabwe \| 1:05:15 row 16 : 62 \| yann millon \| france \| 1:05:20 row 17 : 66 \| manuel matias \| portugal \| 1:05:23 row 18 : 70 \| tolosa gebre \| ethiopia \| 1:05:37 row 19 : 79 \| marcos villa \| mexico \| 1:06:16 row 20 : 83 \| chris verbeeck \| belgium \| 1:06:37 row 21 : 84 \| julius ruto \| kenya \| 1:06:40 row 22 : 90 \| ronald schut \| netherlands \| 1:06:53 row 23 : 92 \| khelil benhalima \| algeria \| 1:07:01 row 24 : 96 \| tayeb kallou \| algeria \| 1:07:21 row 25 : 105 \| ebrahim etta-ati \| iran \| 1:08:10 row 26 : 106 \| wilson theleso \| botswana \| 1:08:12 row 27 : 108 \| haja ramananjatavo \| madagascar \| 1:08:25 row 28 : 116 \| ajay chuttoo \| mauritius \| 1:09:29 row 29 : 118 \| parakhat kurtgeldiye \| turkmenistan \| 1:09:50 row 30 : 122 \| edo janic \| yugoslavia \| 1:10:38 row 31 : 130 \| lee kar lun \| hong kong \| 1:13:28 row 32 : 133 \| binesh prasad \| fiji \| 1:15:38 row 33 : 137 \| genc lugja \| albania \| 1:16:53 row 34 : None \| baha tulumbo \| tanzania \| dnf ] Execute this SQL based on the above table: select rank where rank = 118	118.0
[ header: year \| album \| territory \| label \| notes row 1 : 1989 \| good deeds and dirty rags \| uk \| capitol records \| debut album, reached no. 26 on uk row 2 : 1989 \| fish heads and tails \| uk \| capitol records \| mid-price live and rarities compilation row 3 : 1991 \| hammer and tongs \| uk \| radioactive records/mca \| second studio album; reached no. 61 on row 4 : 1991 \| goodbye mr. mackenzie \| international \| radioactive records/mca \| compilation of tracks from both albums, remixed row 5 : 1993 \| live on the day of storms \| uk \| blokshok records \| live album row 6 : 1994 \| five \| uk \| blokshok records \| third studio album row 7 : 1995 \| jezebel \| uk \| blokshok records \| rarities compilation row 8 : 1996 \| the glory hole \| uk \| blokshok records \| fourth and final studio album: manson, row 9 : 2005 \| the river sessions \| uk \| river records \| double live album row 10 : 2009 \| the rattler: live '91' \| uk \| md music company \| live album (digital release) ] Execute this SQL based on the above table: select notes order by year desc limit 1	live album (digital release)
[ header: year \| representative \| hometown \| placement in miss nepal \| special awards at miss nepal \| placement in miss pokhara row 1 : 1995 \| rita gurung \| pamee \| 1st runner up \| None \| winner row 2 : 1996 \| binita gurung \| batulichor \| 2nd runner up \| None \| winner row 3 : 1997 \| neelima gurung \| nadipur \| winner \| miss personality \| winner row 4 : 1998 \| sunita ranjit \| lakeside \| None \| None \| winner row 5 : 1999 \| kripa gurung \| tersapatti \| 2nd runner up \| miss photogenic \| winner row 6 : 2004 \| anita gurung \| bajapatan \| 2nd runner up \| miss talent \| miss paschimanchal 2003 row 7 : 2005 \| chandra gurung \| ghorepatan \| None \| None \| None row 8 : 2011 \| madina begum \| pokreli \| None \| miss perseverance \| None row 9 : 2012 \| dilasha gc \| chindata \| None \| None \| None row 10 : 2013 \| sipora gurung \| mahendrapool \| 3rd runner up \| miss talent \| None row 11 : 2014 \| rashmi adhikari \| goripatan \| None \| None \| winner ] Execute this SQL based on the above table: select count ( distinct representative ) where placement in miss pokhara = 'None'	0
[ header: \| \| \| \| \| \| \| \| row 1 : ccc \| ieee conference on computational complexity \| 1993 \| 1996 \| 1999 \| None \| 2007 \| 2011 \| 2015 row 2 : ec \| acm conference on electronic commerce \| None \| None \| None \| 2003 \| 2007 \| 2011 \| 2015 row 3 : isca \| acm/ieee international \| 1993 \| 1996 \| 1999 \| 2003 \| 2007 \| 2011 \| 2015 row 4 : lctes \| acm sigplan/sigbed \| None \| None \| 1999 \| 2003 \| 2007 \| None \| None row 5 : metrics \| acm sigmetrics international conference \| None \| 1996 \| 1999 \| 2003 \| 2007 \| None \| 2015 row 6 : pldi \| acm sigplan conference on programming \| None \| 1996 \| 1999 \| 2003 \| 2007 \| 2011 \| 2015 row 7 : podc \| acm symposium on principles of distributed computing \| None \| 1996 \| 1999 \| None \| None \| 2011 \| None row 8 : ppopp \| acm sigplan symposium on principles \| 1993 \| None \| 1999 \| 2003 \| None \| None \| None row 9 : spaa \| acm symposium on parallelism in \| None \| None \| None \| 2003 \| 2007 \| 2011 \| 2015 row 10 : socg \| acm symposium on computational geometry \| 1993 \| 1996 \| None \| 2003 \| None \| None \| None row 11 : stoc \| acm symposium on theory of computing \| 1993 \| 1996 \| 1999 \| 2003 \| 2007 \| 2011 \| 2015 ] Execute this SQL based on the above table: select order by desc limit 1	ccc
[ header: year \| title \| role \| notes row 1 : 2006 \| save the last dance 2 \| mixx \| direct to video row 2 : 2007 \| nick cannon/wild 'n \| himself \| improv comedy row 3 : 2007 \| stomp the yard \| rich brown \| film row 4 : 2011 \| csi: ny \| the hitman \| episode 7.14 "smooth criminal" row 5 : 2011 \| the fresh beat band \| himself \| special episode "band in a jam" row 6 : 2011 \| battle: los angeles \| specks \| film row 7 : 2012 \| empire girls: julissa \| himself \| reality-show row 8 : 2012 \| red tails \| andrew 'smoky' \| film row 9 : 2012 \| i heart tuesdays \| none \| (tv), creator row 10 : 2012 \| the x factor \| guest mentor \| None row 11 : 2012 \| never mind the buzzcocks \| guest host \| None row 12 : 2012 \| 90210 \| guest star \| None ] Execute this SQL based on the above table: select sum ( year )	24125
[ header: year \| venue \| winners \| runner-up \| 3rd place row 1 : 2005 \| pardubice \| poland (41 pts) \| sweden (35 pts \| denmark (24 pts) row 2 : 2006 \| rybnik \| poland (41 pts) \| sweden (27 pts \| denmark (26 pts) row 3 : 2007 \| abensberg \| poland (40 pts) \| great britain (36 pt \| czech republic (30 pts row 4 : 2008 \| holsted \| poland (40 pts) \| denmark (39 pts) \| sweden (38 pts row 5 : 2009 \| gorzow wlkp \| poland (57 pts) \| denmark (45 pts) \| sweden (32 pts row 6 : 2010 \| rye house \| denmark (51 pts) \| sweden (37 pts \| poland (35 pts) row 7 : 2011 \| balakovo \| russia (61 pts) \| denmark (31 pts) \| ukraine (29+3 p row 8 : 2012 \| gniezno \| poland (61 pts) \| australia (44 pts) \| sweden (26 pts ] Execute this SQL based on the above table: select venue order by year desc limit 1	gniezno
[ header: year \| competition \| date \| location \| opponent \| score \| result \| bye row 1 : 1990 \| world group, 1st round \| 2-4 feb \| barcelona (esp) \| spain \| 3-2 \| win \| row 2 : 1990 \| world group, quarterfinals \| 30 mar - 2 apr \| vienna (aut) \| italy \| 5-0 \| win \| row 3 : 1990 \| world group, semifinals \| 21-23 sep \| vienna (aut) \| united states \| 2-3 \| loss \| row 4 : 1991 \| world group, 1st round \| 1-3 feb \| prague (tch) \| czechoslovakia \| 1-4 \| loss \| row 5 : 1991 \| world group, relegation play-off \| 20-22 sep \| manchester (gbr) \| great britain \| 1-3 \| loss \| row 6 : 1992 \| euro/african zone group i \| None \| None \| None \| None \| None \| row 7 : 1992 \| euro/african zone group i \| 1-3 may \| helsinki (fin) \| finland \| 4-1 \| win \| row 8 : 1992 \| world group, relegation play-off \| 25-27 sep \| vancouver (can) \| canada \| 3-1 \| win \| row 9 : 1993 \| world group, 1st round \| 26-28 mar \| vienna (aut) \| france \| 1-4 \| loss \| row 10 : 1993 \| world group, relegation play-off \| 24-26 sep \| christchurch (nzl) \| new zealand \| 3-2 \| win \| row 11 : 1994 \| world group, 1st round \| 26-28 mar \| graz (aut) \| germany \| 2-3 \| loss \| row 12 : 1994 \| world group, relegation play-off \| 23-25 sep \| montevideo (uru) \| uruguay \| 3-2 \| win \| row 13 : 1995 \| world group, 1st round \| 3-5 feb \| vienna (aut) \| spain \| 4-1 \| win \| row 14 : 1995 \| world group, quarterfinals \| 31 mar - 2 apr \| vaxjo (swe) \| sweden \| 0-5 \| loss \| row 15 : 1996 \| world group, 1st round \| 9-12 feb \| johannesburg (rsa) \| south africa \| 2-3 \| loss \| row 16 : 1996 \| world group, relegation play-off \| 20-22 sep \| sao paulo (bra) \| brazil \| 1-4 \| loss \| row 17 : 1997 \| euro/african zone group i \| None \| None \| None \| None \| None \| row 18 : 1997 \| euro/african zone group i \| 4-6 apr \| graz (aut) \| croatia \| 3-2 \| win \| row 19 : 1997 \| world group, relegation play-off \| 19-21 sep \| harare (zim) \| zimbabwe \| 2-3 \| loss \| row 20 : 1998 \| euro/african zone group i \| 3-5 apr \| ramat hasharon (isr) \| israel \| 1-4 \| loss \| row 21 : 1998 \| euro/african zone group i \| 25-27 sep \| portschach (aut) \| denmark \| 5-0 \| win \| row 22 : 1999 \| euro/african zone group i \| 2-4 apr \| wels (aut) \| portugal \| 4-1 \| win \| row 23 : 1999 \| world group, relegation play-off \| 24-26 sep \| portschach (aut) \| sweden \| 3-2 \| win \| ] Execute this SQL based on the above table: select count ( bye ) where year > ( select year where bye = '' )	20
[ header: year \| group \| award \| result \| notes row 1 : 1994 \| venice film festival \| best actor \| won \| before the rain (1994 film) row 2 : 1996 \| new zealand film and tv \| best foreign performer \| won \| broken english (1996 film) row 3 : 2006 \| monaco international film festival \| best actor \| won \| short order row 4 : 2007 \| rome film fest \| best actor \| won \| fugitive pieces (film) row 5 : 2008 \| satellite awards \| best actor in a supporting role \| nominated \| fugitive pieces (film) row 6 : 2008 \| vancouver film critics circle \| best supporting actor in a canadian film \| nominated \| fugitive pieces (film) row 7 : 2009 \| genie awards \| best performance by an actor in a supporting role \| nominated \| fugitive pieces (film) row 8 : 2012 \| tetouan international mediterra \| best actor \| won \| io sono li ] Execute this SQL based on the above table: select notes order by year asc limit 1	before the rain (1994 film)
[ header: rank \| name \| nationality \| 1,62 \| 1,67 \| 1,72 \| 1,75 \| notes row 1 : 1 \| dior delophont \| france \| None \| o \| o \| o \| q row 2 : 1 \| ligia grozav \| romania \| None \| o \| o \| o \| q row 3 : 3 \| iryna herashchenko \| ukraine \| None \| o \| xo \| o \| q row 4 : 4 \| lucija zupzic \| croatia \| o \| o \| o \| xo \| q row 5 : 4 \| chanice porter \| jamaica \| None \| None \| None \| xo \| q row 6 : 6 \| alexandra plaza \| germany \| o \| xo \| o \| xxo \| q row 7 : 7 \| nikola parilova \| czech republic \| o \| o \| o \| xxx \| q row 8 : 7 \| ioanna koltsid \| greece \| o \| o \| o \| xxx \| q row 9 : 9 \| leontia kallenou \| cyprus \| None \| xo \| xo \| xxx \| None row 10 : 10 \| anna pau \| italy \| xxo \| o \| xxo \| xxx \| None row 11 : 11 \| emily crutcher \| australia \| o \| o \| xxx \| None \| None row 12 : 11 \| keeley o'hagan \| new zealand \| o \| o \| xxx \| None \| None row 13 : 13 \| dace dreimane \| latvia \| xo \| o \| xxx \| None \| None row 14 : 14 \| vivien baglyos \| hungary \| o \| xo \| xxx \| None \| None row 15 : 15 \| thea lafond \| dominica \| xo \| xxx \| None \| None \| None ] Execute this SQL based on the above table: select rank order by rank desc limit 1	15.0
[ header: name \| county \| population (2012 est.) \| population (2010) \| land area row 1 : bremerton \| kitsap \| 39,251 \| 37,729 \| 28.41 sq mi (73.6 km2) row 2 : carnation \| king \| 1,823 \| 1,786 \| 1.16 sq mi (3.0 km2) row 3 : colville \| stevens \| 4,669 \| 4,673 \| 2.93 sq mi (7.6 km2) row 4 : des moines \| king \| 30,449 \| 29,673 \| 6.50 sq mi (16.8 km2) row 5 : duvall \| king \| 7,183 \| 6,695 \| 2.47 sq mi (6.4 km2) row 6 : edmonds \| snohomish \| 40,400 \| 39,709 \| 8.91 sq mi (23.1 km2) row 7 : elma \| grays harbor \| 3,095 \| 3,107 \| 1.89 sq mi (4.9 km2) row 8 : ferndale \| whatcom \| 11,998 \| 11,415 \| 6.61 sq mi (17.1 km2) row 9 : fife \| pierce \| 9,333 \| 9,173 \| 5.68 sq mi (14.7 km2) row 10 : gig harbor \| pierce \| 7,549 \| 7,126 \| 5.95 sq mi (15.4 km2) row 11 : goldendale \| klickitat \| 3,471 \| 3,407 \| 2.52 sq mi (6.5 km2) row 12 : granite falls \| snohomish \| 3,416 \| 3,364 \| 2.18 sq mi (5.6 km2) row 13 : harrington \| lincoln \| 420 \| 424 \| 0.38 sq mi (0.98 km2) row 14 : kenmore \| king \| 21,280 \| 20,460 \| 6.15 sq mi (15.9 km2) row 15 : lake stevens \| snohomish \| 29,104 \| 28,069 \| 8.88 sq mi (23.0 km2) row 16 : lakewood \| pierce \| 58,852 \| 58,163 \| 17.17 sq mi (44.5 km2) row 17 : mesa \| franklin \| 518 \| 489 \| 1.64 sq mi (4.2 km2) row 18 : monroe \| snohomish \| 17,503 \| 17,304 \| 6.05 sq mi (15.7 km2) row 19 : montesano \| grays harbor \| 3,962 \| 3,976 \| 10.41 sq mi (27.0 km2) row 20 : napavine \| lewis \| 1,778 \| 1,766 \| 2.38 sq mi (6.2 km2) row 21 : newport \| pend oreille \| 2,116 \| 2,126 \| 1.07 sq mi (2.8 km2) row 22 : oroville \| okanogan \| 1,698 \| 1,686 \| 1.64 sq mi (4.2 km2) row 23 : pomeroy \| garfield \| 1,422 \| 1,425 \| 1.78 sq mi (4.6 km2) row 24 : port angeles \| clallam \| 19,056 \| 19,038 \| 10.70 sq mi (27.7 km2) row 25 : puyallup \| pierce \| 38,147 \| 37,022 \| 13.93 sq mi (36.1 km2) row 26 : roslyn \| kittitas \| 910 \| 893 \| 4.37 sq mi (11.3 km2) row 27 : sammamish \| king \| 49,069 \| 45,780 \| 18.22 sq mi (47.2 km2) row 28 : shoreline \| king \| 54,352 \| 53,007 \| 11.67 sq mi (30.2 km2) row 29 : snohomish \| snohomish \| 9,275 \| 9,098 \| 3.44 sq mi (8.9 km2) row 30 : stevenson \| skamania \| 1,473 \| 1,465 \| 1.64 sq mi (4.2 km2) row 31 : tenino \| thurston \| 1,724 \| 1,695 \| 1.44 sq mi (3.7 km2) row 32 : wapato \| yakima \| 5,065 \| 4,997 \| 1.17 sq mi (3.0 km2) ] Execute this SQL based on the above table: select name order by population (2010) limit 1	harrington
[ header: location \| town \| output (mw ac) \| modules \| number of arrays row 1 : h. lee dennison building \| hauppauge \| 1.75 \| 7737 \| 24 row 2 : north county complex \| hauppauge \| 0.5 \| 3431 \| 9 row 3 : cohalan court complex \| central islip \| 3.5 \| 15113 \| 27 row 4 : riverhead county center \| riverside \| 3 \| 11536 \| 31 row 5 : brentwood lirr parking lot \| brentwood \| 1 \| 3924 \| 11 row 6 : deer park lirr parking lot \| deer park \| 2.25 \| 3924 \| 39 row 7 : ronkonkoma lir \| ronkonkoma \| 5 \| 20110 \| 44 ] Execute this SQL based on the above table: select count ( location ) where output (mw ac) < 1573	7