Datasets:
AayushShah
/
Univeral_SQL_Three_Datasets_Combined_WithText_IDs

Dataset card Data Studio Files
xet
 Community
1
NATURAL_LANG
stringlengths
12
244
SQL
stringlengths
18
336
SCHEMA
stringlengths
27
355
input_ids
list
attention_mask
list
labels
list
What is the value of bronze with less than 2 in total?
SELECT bronze FROM table_name_91 WHERE total < 2
CREATE TABLE table_name_91 (bronze VARCHAR, total INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4729, 41, 13711, 776, 584, 4280, 28027, 6, 792, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 701, 13, 13467, 28, 705, 145, 204, 16, 792, 58, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 13467, 21680, 953, 834, 4350, 834, 4729, 549, 17444, 427, 792, 3, 2, 204, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What number of rank has more than 2 medals in total with less than 4 bronze?
SELECT COUNT(rank) FROM table_name_26 WHERE total > 2 AND bronze < 4
CREATE TABLE table_name_26 (rank VARCHAR, total VARCHAR, bronze VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2688, 41, 6254, 584, 4280, 28027, 6, 792, 584, 4280, 28027, 6, 13467, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 381, 13, 11003, 65, 72, 145, 204, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 6254, 61, 21680, 953, 834, 4350, 834, 2688, 549, 17444, 427, 792, 2490, 204, 3430, 13467, 3, 2, 314, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
what is a building that is proposed and will have 32 floors?
SELECT building FROM table_name_22 WHERE status = "proposed" AND floors = 32
CREATE TABLE table_name_22 (building VARCHAR, status VARCHAR, floors VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2884, 41, 10905, 584, 4280, 28027, 6, 2637, 584, 4280, 28027, 6, 8242, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 125, 19, 3, 9, 740, 24, 19, 4382, 11,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 740, 21680, 953, 834, 4350, 834, 2884, 549, 17444, 427, 2637, 3274, 96, 1409, 12151, 121, 3430, 8242, 3274, 3538, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the best time for marcus marshall?
SELECT AVG(best) FROM table_name_21 WHERE name = "marcus marshall"
CREATE TABLE table_name_21 (best INTEGER, name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2658, 41, 9606, 3, 21342, 17966, 6, 564, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 200, 97, 21, 14124, 302, 8113, 11516, 58, 1, 0, 0, 0,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 9606, 61, 21680, 953, 834, 4350, 834, 2658, 549, 17444, 427, 564, 3274, 96, 1635, 1071, 7, 8113, 11516, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the best time for a rusport driver with a qual 2 time of 1:10.166?
SELECT MAX(best) FROM table_name_58 WHERE team = "rusport" AND qual_2 = "1:10.166"
CREATE TABLE table_name_58 (best INTEGER, team VARCHAR, qual_2 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3449, 41, 9606, 3, 21342, 17966, 6, 372, 584, 4280, 28027, 6, 3, 11433, 834, 357, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 200, 97, 21, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 9606, 61, 21680, 953, 834, 4350, 834, 3449, 549, 17444, 427, 372, 3274, 96, 4502, 1493, 121, 3430, 3, 11433, 834, 357, 3274, 96, 536, 10, 22567, 3539, 121, 1, -100, -100, -100, -100, -100, -100, -100, ...
What team had a qual 2 time of 58.385?
SELECT team FROM table_name_92 WHERE qual_2 = "58.385"
CREATE TABLE table_name_92 (team VARCHAR, qual_2 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4508, 41, 11650, 584, 4280, 28027, 6, 3, 11433, 834, 357, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 372, 141, 3, 9, 3, 11433, 204, 97, 13, 3, 3...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 372, 21680, 953, 834, 4350, 834, 4508, 549, 17444, 427, 3, 11433, 834, 357, 3274, 96, 3449, 5, 3747, 17395, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the total for University of Dublin, having a panel of 0 for agricultural, was nominated by Taoiseach more than 0, and an industrial and commercial panel less than 0?
SELECT COUNT(university_of_dublin) FROM table_name_94 WHERE agricultural_panel = 0 AND nominated_by_the_taoiseach > 0 AND industrial_and_commercial_panel < 0
CREATE TABLE table_name_94 (university_of_dublin VARCHAR, industrial_and_commercial_panel VARCHAR, agricultural_panel VARCHAR, nominated_by_the_taoiseach VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4240, 41, 7846, 485, 834, 858, 834, 1259, 21746, 584, 4280, 28027, 6, 2913, 834, 232, 834, 27260, 834, 28726, 584, 4280, 28027, 6, 10687, 834, 28726, 584, 4280, 28...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 7846, 485, 834, 858, 834, 1259, 21746, 61, 21680, 953, 834, 4350, 834, 4240, 549, 17444, 427, 10687, 834, 28726, 3274, 3, 632, 3430, 150, 1109, 920, 834, 969, 834, 532, 834, 17, 9, 32, 159, 15, 1...
What is the average for the agricultural panel that has a National University of Ireland less than 0?
SELECT AVG(agricultural_panel) FROM table_name_16 WHERE national_university_of_ireland < 0
CREATE TABLE table_name_16 (agricultural_panel INTEGER, national_university_of_ireland INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2938, 41, 9, 3496, 14700, 834, 28726, 3, 21342, 17966, 6, 1157, 834, 7846, 485, 834, 858, 834, 2060, 40, 232, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 71, 17217, 599, 9, 3496, 14700, 834, 28726, 61, 21680, 953, 834, 4350, 834, 2938, 549, 17444, 427, 1157, 834, 7846, 485, 834, 858, 834, 2060, 40, 232, 3, 2, 3, 632, 1, -100, -100, -100, -100, -100, -100, -100, -10...
What is the lowest number for the University of Dublin, having and administrative panel of 3, and a Cultural and Educational panel less than 2?
SELECT MIN(university_of_dublin) FROM table_name_93 WHERE administrative_panel = 3 AND cultural_and_educational_panel < 2
CREATE TABLE table_name_93 (university_of_dublin INTEGER, administrative_panel VARCHAR, cultural_and_educational_panel VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4271, 41, 7846, 485, 834, 858, 834, 1259, 21746, 3, 21342, 17966, 6, 6601, 834, 28726, 584, 4280, 28027, 6, 2779, 834, 232, 834, 29117, 138, 834, 28726, 584, 4280,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 17684, 599, 7846, 485, 834, 858, 834, 1259, 21746, 61, 21680, 953, 834, 4350, 834, 4271, 549, 17444, 427, 6601, 834, 28726, 3274, 220, 3430, 2779, 834, 232, 834, 29117, 138, 834, 28726, 3, 2, 204, 1, -100, -100, ...
What was the record at Memorial Stadium on September 19, 1965?
SELECT record FROM table_name_59 WHERE game_site = "memorial stadium" AND date = "september 19, 1965"
CREATE TABLE table_name_59 (record VARCHAR, game_site VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3390, 41, 60, 7621, 584, 4280, 28027, 6, 467, 834, 3585, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 1368, 44, 910...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1368, 21680, 953, 834, 4350, 834, 3390, 549, 17444, 427, 467, 834, 3585, 3274, 96, 526, 51, 11929, 14939, 121, 3430, 833, 3274, 96, 7, 6707, 18247, 12370, 19201, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the largest attendance at Memorial Stadium on December 12, 1965?
SELECT MAX(attendance) FROM table_name_51 WHERE game_site = "memorial stadium" AND date = "december 12, 1965"
CREATE TABLE table_name_51 (attendance INTEGER, game_site VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5553, 41, 15116, 663, 3, 21342, 17966, 6, 467, 834, 3585, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2015, 11364, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 15116, 663, 61, 21680, 953, 834, 4350, 834, 5553, 549, 17444, 427, 467, 834, 3585, 3274, 96, 526, 51, 11929, 14939, 121, 3430, 833, 3274, 96, 221, 75, 18247, 10440, 19201, 121, 1, -100, -100, -100, -10...
Which Extra points is the highest one that has a Player of herman everhardus, and a Field goals larger than 0?
SELECT MAX(extra_points) FROM table_name_97 WHERE player = "herman everhardus" AND field_goals > 0
CREATE TABLE table_name_97 (extra_points INTEGER, player VARCHAR, field_goals VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4327, 41, 25666, 834, 2700, 7, 3, 21342, 17966, 6, 1959, 584, 4280, 28027, 6, 1057, 834, 839, 5405, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 8505...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 4800, 4, 599, 25666, 834, 2700, 7, 61, 21680, 953, 834, 4350, 834, 4327, 549, 17444, 427, 1959, 3274, 96, 760, 348, 664, 5651, 302, 121, 3430, 1057, 834, 839, 5405, 2490, 3, 632, 1, -100, -100, -100, -100, -100, -...
Which Extra points has Points smaller than 12, and a Player of chuck bernard, and Touchdowns larger than 1?
SELECT SUM(extra_points) FROM table_name_45 WHERE points < 12 AND player = "chuck bernard" AND touchdowns > 1
CREATE TABLE table_name_45 (extra_points INTEGER, touchdowns VARCHAR, points VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2128, 41, 25666, 834, 2700, 7, 3, 21342, 17966, 6, 19396, 7, 584, 4280, 28027, 6, 979, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 3...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 180, 6122, 599, 25666, 834, 2700, 7, 61, 21680, 953, 834, 4350, 834, 2128, 549, 17444, 427, 979, 3, 2, 586, 3430, 1959, 3274, 96, 24238, 3, 1152, 29, 986, 121, 3430, 19396, 7, 2490, 209, 1, -100, -100, -100, -100,...
How many Field goals have Touchdowns smaller than 3, and a Player of willis ward, and an Extra points smaller than 0?
SELECT SUM(field_goals) FROM table_name_45 WHERE touchdowns < 3 AND player = "willis ward" AND extra_points < 0
CREATE TABLE table_name_45 (field_goals INTEGER, extra_points VARCHAR, touchdowns VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2128, 41, 1846, 834, 839, 5405, 3, 21342, 17966, 6, 996, 834, 2700, 7, 584, 4280, 28027, 6, 19396, 7, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 180, 6122, 599, 1846, 834, 839, 5405, 61, 21680, 953, 834, 4350, 834, 2128, 549, 17444, 427, 19396, 7, 3, 2, 220, 3430, 1959, 3274, 96, 8894, 159, 3, 2239, 121, 3430, 996, 834, 2700, 7, 3, 2, 3, 632, 1, -100, ...
Whicih Extra points are the average ones that have Points smaller than 6?
SELECT AVG(extra_points) FROM table_name_35 WHERE points < 6
CREATE TABLE table_name_35 (extra_points INTEGER, points INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2469, 41, 25666, 834, 2700, 7, 3, 21342, 17966, 6, 979, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 14883, 75, 23, 107, 8505, 979, 33, 8, 1348, 2102, 24,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 25666, 834, 2700, 7, 61, 21680, 953, 834, 4350, 834, 2469, 549, 17444, 427, 979, 3, 2, 431, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which position is round 7?
SELECT position FROM table_name_27 WHERE round = 7
CREATE TABLE table_name_27 (position VARCHAR, round VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2555, 41, 4718, 584, 4280, 28027, 6, 1751, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 1102, 19, 1751, 489, 58, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1102, 21680, 953, 834, 4350, 834, 2555, 549, 17444, 427, 1751, 3274, 489, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Which college has a position of goaltender?
SELECT college_junior_club_team__league_ FROM table_name_92 WHERE position = "goaltender"
CREATE TABLE table_name_92 (college_junior_club_team__league_ VARCHAR, position VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4508, 41, 3297, 7883, 834, 6959, 23, 127, 834, 13442, 834, 11650, 834, 834, 29512, 834, 584, 4280, 28027, 6, 1102, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1900, 834, 6959, 23, 127, 834, 13442, 834, 11650, 834, 834, 29512, 834, 21680, 953, 834, 4350, 834, 4508, 549, 17444, 427, 1102, 3274, 96, 839, 2920, 3868, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is Darryl Fedorak's highest round?
SELECT MAX(round) FROM table_name_91 WHERE player = "darryl fedorak"
CREATE TABLE table_name_91 (round INTEGER, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4729, 41, 7775, 3, 21342, 17966, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 1920, 12973, 10803, 127, 1639, 31, 7, 2030, 1751, 58, 1, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 7775, 61, 21680, 953, 834, 4350, 834, 4729, 549, 17444, 427, 1959, 3274, 96, 3439, 12973, 13126, 127, 1639, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What nationality has a higher round than 8?
SELECT nationality FROM table_name_86 WHERE round > 8
CREATE TABLE table_name_86 (nationality VARCHAR, round INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3840, 41, 16557, 485, 584, 4280, 28027, 6, 1751, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 363, 1157, 485, 65, 3, 9, 1146, 1751, 145, 505, 58, 1, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1157, 485, 21680, 953, 834, 4350, 834, 3840, 549, 17444, 427, 1751, 2490, 505, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the connection with Australia when the connection with America shows born in the u.s.; mother is u.s. citizen?
SELECT connection_with_australia FROM table_name_74 WHERE connection_with_america = "born in the u.s.; mother is u.s. citizen"
CREATE TABLE table_name_74 (connection_with_australia VARCHAR, connection_with_america VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4581, 41, 28102, 834, 4065, 834, 2064, 8792, 23, 9, 584, 4280, 28027, 6, 2135, 834, 4065, 834, 23064, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2135, 834, 4065, 834, 2064, 8792, 23, 9, 21680, 953, 834, 4350, 834, 4581, 549, 17444, 427, 2135, 834, 4065, 834, 23064, 3274, 96, 7473, 16, 8, 3, 76, 5, 7, 5, 117, 2039, 19, 3, 76, 5, 7, 5, 13008, 121, 1, -...
What is the person born in Australia, rick springfield notable for?
SELECT notable_for FROM table_name_23 WHERE connection_with_australia = "born in australia" AND name = "rick springfield"
CREATE TABLE table_name_23 (notable_for VARCHAR, connection_with_australia VARCHAR, name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2773, 41, 2264, 179, 834, 1161, 584, 4280, 28027, 6, 2135, 834, 4065, 834, 2064, 8792, 23, 9, 584, 4280, 28027, 6, 564, 584, 4280, 28027, 61, 3, 32105, 32106, 32...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0...
[ 3, 23143, 14196, 14538, 834, 1161, 21680, 953, 834, 4350, 834, 2773, 549, 17444, 427, 2135, 834, 4065, 834, 2064, 8792, 23, 9, 3274, 96, 7473, 16, 23407, 121, 3430, 564, 3274, 96, 5206, 2141, 1846, 121, 1, -100, -100, -100, -100, -1...
What is the Born–Died for the person whose family moved to Australia at age 6?
SELECT born___died FROM table_name_93 WHERE connection_with_australia = "family moved to australia at age 6"
CREATE TABLE table_name_93 (born___died VARCHAR, connection_with_australia VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4271, 41, 7473, 834, 834, 834, 2498, 26, 584, 4280, 28027, 6, 2135, 834, 4065, 834, 2064, 8792, 23, 9, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0...
[ 3, 23143, 14196, 2170, 834, 834, 834, 2498, 26, 21680, 953, 834, 4350, 834, 4271, 549, 17444, 427, 2135, 834, 4065, 834, 2064, 8792, 23, 9, 3274, 96, 15474, 2301, 12, 23407, 44, 1246, 431, 121, 1, -100, -100, -100, -100, -100, -100,...
What is the latest date with Cores per die / Dies per module of 2 / 1, and a Clock of 1.4-1.6ghz?
SELECT MAX(date) FROM table_name_64 WHERE cores_per_die___dies_per_module = "2 / 1" AND clock = "1.4-1.6ghz"
CREATE TABLE table_name_64 (date INTEGER, cores_per_die___dies_per_module VARCHAR, clock VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4389, 41, 5522, 3, 21342, 17966, 6, 2583, 7, 834, 883, 834, 2498, 834, 834, 834, 7719, 834, 883, 834, 22763, 15, 584, 4280, 28027, 6, 6702, 584, 4280, 28027, 61,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 4800, 4, 599, 5522, 61, 21680, 953, 834, 4350, 834, 4389, 549, 17444, 427, 2583, 7, 834, 883, 834, 2498, 834, 834, 834, 7719, 834, 883, 834, 22763, 15, 3274, 96, 357, 3, 87, 209, 121, 3430, 6702, 3274, 96, 14912, ...
Which process has a date later than 2000 and a Clock of 1.4-1.6ghz?
SELECT process FROM table_name_61 WHERE date > 2000 AND clock = "1.4-1.6ghz"
CREATE TABLE table_name_61 (process VARCHAR, date VARCHAR, clock VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4241, 41, 15056, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 6, 6702, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 433, 65, 3, 9, 833, 865, 145, 27...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 433, 21680, 953, 834, 4350, 834, 4241, 549, 17444, 427, 833, 2490, 2766, 3430, 6702, 3274, 96, 14912, 18, 15062, 122, 107, 172, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Which date has a Clock of 0.8-1.6ghz?
SELECT date FROM table_name_61 WHERE clock = "0.8-1.6ghz"
CREATE TABLE table_name_61 (date VARCHAR, clock VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4241, 41, 5522, 584, 4280, 28027, 6, 6702, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 833, 65, 3, 9, 205, 4029, 13, 3, 22384, 18, 15062, 122, 107...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 4241, 549, 17444, 427, 6702, 3274, 96, 22384, 18, 15062, 122, 107, 172, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What was the record on May 21?
SELECT record FROM table_name_15 WHERE date = "may 21"
CREATE TABLE table_name_15 (record VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1808, 41, 60, 7621, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 1368, 30, 932, 1401, 58, 1, 0, 0, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1368, 21680, 953, 834, 4350, 834, 1808, 549, 17444, 427, 833, 3274, 96, 13726, 1401, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
On what date was the attendance 24,976?
SELECT date FROM table_name_98 WHERE attendance = "24,976"
CREATE TABLE table_name_98 (date VARCHAR, attendance VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3916, 41, 5522, 584, 4280, 28027, 6, 11364, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 461, 125, 833, 47, 8, 11364, 14320, 4327, 948, 58, 1, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 3916, 549, 17444, 427, 11364, 3274, 96, 2266, 6, 4327, 948, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
On what date was the record 21-26?
SELECT date FROM table_name_79 WHERE record = "21-26"
CREATE TABLE table_name_79 (date VARCHAR, record VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4440, 41, 5522, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 461, 125, 833, 47, 8, 1368, 1401, 18, 2688, 58, 1, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 4440, 549, 17444, 427, 1368, 3274, 96, 2658, 18, 2688, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
How many were in attendance with a loss of Prokopec (2-7)?
SELECT attendance FROM table_name_21 WHERE loss = "prokopec (2-7)"
CREATE TABLE table_name_21 (attendance VARCHAR, loss VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2658, 41, 15116, 663, 584, 4280, 28027, 6, 1453, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 130, 16, 11364, 28, 3, 9, 1453, 13, 749, 17466, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 11364, 21680, 953, 834, 4350, 834, 2658, 549, 17444, 427, 1453, 3274, 96, 1409, 17466, 15, 75, 4743, 18, 12703, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Who was the opponent on May 20?
SELECT opponent FROM table_name_74 WHERE date = "may 20"
CREATE TABLE table_name_74 (opponent VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4581, 41, 32, 102, 9977, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 15264, 30, 932, 460, 58, 1, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 15264, 21680, 953, 834, 4350, 834, 4581, 549, 17444, 427, 833, 3274, 96, 13726, 460, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the tournament on Apr 6?
SELECT tournament FROM table_name_13 WHERE date = "apr 6"
CREATE TABLE table_name_13 (tournament VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2368, 41, 17, 1211, 20205, 17, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 5892, 30, 10299, 431, 58, 1, 0, 0, 0,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 5892, 21680, 953, 834, 4350, 834, 2368, 549, 17444, 427, 833, 3274, 96, 9, 102, 52, 431, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the 1st prize of the tournament in Scotland?
SELECT 1 AS st_prize___$__ FROM table_name_95 WHERE location = "scotland"
CREATE TABLE table_name_95 (location VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3301, 41, 14836, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 209, 7, 17, 6441, 13, 8, 5892, 16, 8288, 58, 1, 0, 0, 0, 0, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 209, 6157, 3, 7, 17, 834, 2246, 776, 834, 834, 834, 3229, 834, 834, 21680, 953, 834, 4350, 834, 3301, 549, 17444, 427, 1128, 3274, 96, 7, 4310, 40, 232, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the location of the Sea Pines Heritage Classic tournament?
SELECT location FROM table_name_68 WHERE tournament = "sea pines heritage classic"
CREATE TABLE table_name_68 (location VARCHAR, tournament VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3651, 41, 14836, 584, 4280, 28027, 6, 5892, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1128, 13, 8, 3319, 13395, 7, 11523, 6744, 5892, 58, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1128, 21680, 953, 834, 4350, 834, 3651, 549, 17444, 427, 5892, 3274, 96, 7, 15, 9, 15178, 7, 8681, 2431, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the score of the Tournament Players Championship?
SELECT score FROM table_name_16 WHERE tournament = "tournament players championship"
CREATE TABLE table_name_16 (score VARCHAR, tournament VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2938, 41, 7, 9022, 584, 4280, 28027, 6, 5892, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2604, 13, 8, 20502, 18079, 7666, 58, 1, 0, 0, 0,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2604, 21680, 953, 834, 4350, 834, 2938, 549, 17444, 427, 5892, 3274, 96, 17, 1211, 20205, 17, 1508, 10183, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the 1st prize at the U.S. Open?
SELECT 1 AS st_prize___$__ FROM table_name_69 WHERE tournament = "u.s. open"
CREATE TABLE table_name_69 (tournament VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3951, 41, 17, 1211, 20205, 17, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 209, 7, 17, 6441, 44, 8, 412, 5, 134, 5, 2384, 58, 1, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 209, 6157, 3, 7, 17, 834, 2246, 776, 834, 834, 834, 3229, 834, 834, 21680, 953, 834, 4350, 834, 3951, 549, 17444, 427, 5892, 3274, 96, 76, 5, 7, 5, 539, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the average first prize of the tournament with a score of 279 (–9)?
SELECT AVG(1 AS st_prize___) AS $__ FROM table_name_47 WHERE score = "279 (–9)"
CREATE TABLE table_name_47 (score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4177, 41, 7, 9022, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1348, 166, 6441, 13, 8, 5892, 28, 3, 9, 2604, 13, 204, 4440, 41, 104, 11728...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 536, 6157, 3, 7, 17, 834, 2246, 776, 834, 834, 834, 61, 6157, 1514, 834, 834, 21680, 953, 834, 4350, 834, 4177, 549, 17444, 427, 2604, 3274, 96, 357, 4440, 41, 104, 11728, 121, 1, -100, -100, -100,...
What is the lowest first prize of the Mercedes Championships tournament in California?
SELECT MIN(1 AS st_prize___) AS $__ FROM table_name_18 WHERE location = "california" AND tournament = "mercedes championships"
CREATE TABLE table_name_18 (location VARCHAR, tournament VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2606, 41, 14836, 584, 4280, 28027, 6, 5892, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 7402, 166, 6441, 13, 8, 11808, 7666, 7, 5892, 16, 18...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 536, 6157, 3, 7, 17, 834, 2246, 776, 834, 834, 834, 61, 6157, 1514, 834, 834, 21680, 953, 834, 4350, 834, 2606, 549, 17444, 427, 1128, 3274, 96, 15534, 1161, 29, 23, 9, 121, 3430, 5892, 3274, 96, ...
What is the average capacity for the venue where the team kommunalnik played?
SELECT AVG(capacity) FROM table_name_29 WHERE team = "kommunalnik"
CREATE TABLE table_name_29 (capacity INTEGER, team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3166, 41, 4010, 9, 6726, 3, 21342, 17966, 6, 372, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1348, 2614, 21, 8, 5669, 213, 8, 372, 3, 452...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 4010, 9, 6726, 61, 21680, 953, 834, 4350, 834, 3166, 549, 17444, 427, 372, 3274, 96, 4524, 51, 202, 138, 4953, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the position of the team that played at the venue, Central, Gomel?
SELECT position_in_1999 FROM table_name_71 WHERE venue = "central, gomel"
CREATE TABLE table_name_71 (position_in_1999 VARCHAR, venue VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4450, 41, 4718, 834, 77, 834, 2294, 3264, 584, 4280, 28027, 6, 5669, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1102, 13, 8, 372, 24, 1944,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1102, 834, 77, 834, 2294, 3264, 21680, 953, 834, 4350, 834, 4450, 549, 17444, 427, 5669, 3274, 96, 20071, 6, 281, 2341, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the position of the team that played at the venue with more than 6,500 capacity?
SELECT position_in_1999 FROM table_name_70 WHERE capacity > 6 OFFSET 500
CREATE TABLE table_name_70 (position_in_1999 VARCHAR, capacity INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2518, 41, 4718, 834, 77, 834, 2294, 3264, 584, 4280, 28027, 6, 2614, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1102, 13, 8, 372, 24, 1944, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1102, 834, 77, 834, 2294, 3264, 21680, 953, 834, 4350, 834, 2518, 549, 17444, 427, 2614, 2490, 431, 3, 15316, 20788, 2899, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the smallest number of assists with 70 Pims and less than 19 goals?
SELECT MIN(assists) FROM table_name_71 WHERE pims = 70 AND goals < 19
CREATE TABLE table_name_71 (assists INTEGER, pims VARCHAR, goals VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4450, 41, 6500, 7, 17, 7, 3, 21342, 17966, 6, 2816, 51, 7, 584, 4280, 28027, 6, 1766, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 3, 17924...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 6500, 7, 17, 7, 61, 21680, 953, 834, 4350, 834, 4450, 549, 17444, 427, 2816, 51, 7, 3274, 2861, 3430, 1766, 3, 2, 957, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the smallest number of assists for Ben Duggan with less than 7 points?
SELECT MIN(assists) FROM table_name_17 WHERE name = "ben duggan" AND points < 7
CREATE TABLE table_name_17 (assists INTEGER, name VARCHAR, points VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2517, 41, 6500, 7, 17, 7, 3, 21342, 17966, 6, 564, 584, 4280, 28027, 6, 979, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 3, 17924, 381, 13...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 6500, 7, 17, 7, 61, 21680, 953, 834, 4350, 834, 2517, 549, 17444, 427, 564, 3274, 96, 115, 35, 146, 122, 2565, 121, 3430, 979, 3, 2, 489, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
In what Year was Rhode Island the National Champion?
SELECT year FROM table_name_77 WHERE national_champion = "rhode island"
CREATE TABLE table_name_77 (year VARCHAR, national_champion VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4013, 41, 1201, 584, 4280, 28027, 6, 1157, 834, 17788, 12364, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 86, 125, 2929, 47, 17903, 2834, 8, 868, 16127, 5...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 215, 21680, 953, 834, 4350, 834, 4013, 549, 17444, 427, 1157, 834, 17788, 12364, 3274, 96, 52, 107, 32, 221, 3368, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What was the Runner-up in the Monroe County Sports Commission?
SELECT runner_up FROM table_name_59 WHERE host = "monroe county sports commission"
CREATE TABLE table_name_59 (runner_up VARCHAR, host VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3390, 41, 10806, 834, 413, 584, 4280, 28027, 6, 2290, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 3, 23572, 18, 413, 16, 8, 25182, 1334, 571...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 10806, 834, 413, 21680, 953, 834, 4350, 834, 3390, 549, 17444, 427, 2290, 3274, 96, 2157, 52, 32, 15, 5435, 2100, 5473, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
At what Location was the Runner-up TBD?
SELECT location FROM table_name_3 WHERE runner_up = "tbd"
CREATE TABLE table_name_3 (location VARCHAR, runner_up VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 519, 41, 14836, 584, 4280, 28027, 6, 3, 10806, 834, 413, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 486, 125, 10450, 47, 8, 3, 23572, 18, 413, 332, 145...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1128, 21680, 953, 834, 4350, 834, 519, 549, 17444, 427, 3, 10806, 834, 413, 3274, 96, 17, 115, 26, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
At what Location did Robert Morris University (Illinois) Host the Lindenwood National Chamption?
SELECT location FROM table_name_71 WHERE host = "robert morris university (illinois)" AND national_champion = "lindenwood"
CREATE TABLE table_name_71 (location VARCHAR, host VARCHAR, national_champion VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4450, 41, 14836, 584, 4280, 28027, 6, 2290, 584, 4280, 28027, 6, 1157, 834, 17788, 12364, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 486, 125, 10450, 410, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0...
[ 3, 23143, 14196, 1128, 21680, 953, 834, 4350, 834, 4450, 549, 17444, 427, 2290, 3274, 96, 5840, 49, 17, 8030, 52, 159, 3819, 41, 1092, 77, 32, 159, 61, 121, 3430, 1157, 834, 17788, 12364, 3274, 96, 9230, 35, 2037, 121, 1, -100, -1...
What was the Runner-up with Ohio as the National Champion in Tucson, AZ?
SELECT runner_up FROM table_name_53 WHERE national_champion = "ohio" AND location = "tucson, az"
CREATE TABLE table_name_53 (runner_up VARCHAR, national_champion VARCHAR, location VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4867, 41, 10806, 834, 413, 584, 4280, 28027, 6, 1157, 834, 17788, 12364, 584, 4280, 28027, 6, 1128, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 10806, 834, 413, 21680, 953, 834, 4350, 834, 4867, 549, 17444, 427, 1157, 834, 17788, 12364, 3274, 96, 32, 107, 23, 32, 121, 3430, 1128, 3274, 96, 17, 76, 75, 739, 6, 3, 9, 172, 121, 1, -100, -100, -100, -100...
Which graphics spec has a VRAM spec of 512MB?
SELECT graphics FROM table_name_43 WHERE vram = "512mb"
CREATE TABLE table_name_43 (graphics VARCHAR, vram VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4906, 41, 14797, 7, 584, 4280, 28027, 6, 3, 11473, 51, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 6484, 3, 7576, 65, 3, 9, 584, 23203, 3, 7576, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 6484, 21680, 953, 834, 4350, 834, 4906, 549, 17444, 427, 3, 11473, 51, 3274, 96, 24163, 51, 115, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the MSRP for the laptop with storage of 128-512 GB SSD?
SELECT msrp FROM table_name_2 WHERE storage = "128-512 gb ssd"
CREATE TABLE table_name_2 (msrp VARCHAR, storage VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 357, 41, 51, 7, 52, 102, 584, 4280, 28027, 6, 1606, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 5266, 6294, 21, 8, 4544, 28, 1606, 13, 209...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 51, 7, 52, 102, 21680, 953, 834, 4350, 834, 357, 549, 17444, 427, 1606, 3274, 96, 536, 2577, 18, 24163, 3, 122, 115, 3, 7, 7, 26, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Name the opponent for game 5
SELECT opponent FROM table_name_25 WHERE game = 5
CREATE TABLE table_name_25 (opponent VARCHAR, game VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1828, 41, 32, 102, 9977, 584, 4280, 28027, 6, 467, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 15264, 21, 467, 305, 1, 0, 0, 0, 0, 0, 0, 0,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 15264, 21680, 953, 834, 4350, 834, 1828, 549, 17444, 427, 467, 3274, 305, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What status is shown for Cadeby?
SELECT status FROM table_name_17 WHERE name = "cadeby"
CREATE TABLE table_name_17 (status VARCHAR, name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2517, 41, 8547, 302, 584, 4280, 28027, 6, 564, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 2637, 19, 2008, 21, 15562, 15, 969, 58, 1, 0, 0, 0, 0,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2637, 21680, 953, 834, 4350, 834, 2517, 549, 17444, 427, 564, 3274, 96, 6615, 969, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the Former local authority for Ecclesfield?
SELECT former_local_authority FROM table_name_96 WHERE name = "ecclesfield"
CREATE TABLE table_name_96 (former_local_authority VARCHAR, name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4314, 41, 2032, 49, 834, 16882, 834, 17415, 485, 584, 4280, 28027, 6, 564, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 18263, 415, 5015, 21, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1798, 834, 16882, 834, 17415, 485, 21680, 953, 834, 4350, 834, 4314, 549, 17444, 427, 564, 3274, 96, 15, 75, 2482, 7, 1846, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the Status of Mexborough?
SELECT status FROM table_name_83 WHERE name = "mexborough"
CREATE TABLE table_name_83 (status VARCHAR, name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4591, 41, 8547, 302, 584, 4280, 28027, 6, 564, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 19318, 13, 1212, 226, 12823, 58, 1, 0, 0, 0, 0,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2637, 21680, 953, 834, 4350, 834, 4591, 549, 17444, 427, 564, 3274, 96, 51, 994, 12823, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the score on December 1?
SELECT score FROM table_name_36 WHERE date = "december 1"
CREATE TABLE table_name_36 (score VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3420, 41, 7, 9022, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2604, 30, 1882, 209, 58, 1, 0, 0, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2604, 21680, 953, 834, 4350, 834, 3420, 549, 17444, 427, 833, 3274, 96, 221, 75, 18247, 209, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which skip has Oliver Dupont as a second?
SELECT skip FROM table_name_63 WHERE second = "oliver dupont"
CREATE TABLE table_name_63 (skip VARCHAR, second VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3891, 41, 4009, 102, 584, 4280, 28027, 6, 511, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 11202, 65, 15865, 970, 5041, 17, 38, 3, 9, 511, 58, 1, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 11202, 21680, 953, 834, 4350, 834, 3891, 549, 17444, 427, 511, 3274, 96, 4172, 624, 146, 5041, 17, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which second's third is Jean-Michel Arsenault?
SELECT second FROM table_name_91 WHERE third = "jean-michel arsenault"
CREATE TABLE table_name_91 (second VARCHAR, third VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4729, 41, 12091, 584, 4280, 28027, 6, 1025, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 511, 31, 7, 1025, 19, 3966, 18, 30123, 1533, 7, 35, 10335, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 511, 21680, 953, 834, 4350, 834, 4729, 549, 17444, 427, 1025, 3274, 96, 26459, 18, 51, 23, 8738, 1584, 7, 35, 10335, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which skip's third is Steffen Walstad?
SELECT skip FROM table_name_1 WHERE third = "steffen walstad"
CREATE TABLE table_name_1 (skip VARCHAR, third VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 536, 41, 4009, 102, 584, 4280, 28027, 6, 1025, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 11202, 31, 7, 1025, 19, 3557, 13602, 8586, 2427, 26, 58, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 11202, 21680, 953, 834, 4350, 834, 536, 549, 17444, 427, 1025, 3274, 96, 849, 13602, 3, 5380, 2427, 26, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Which skip's second is Martin Hejhal?
SELECT skip FROM table_name_51 WHERE second = "martin hejhal"
CREATE TABLE table_name_51 (skip VARCHAR, second VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5553, 41, 4009, 102, 584, 4280, 28027, 6, 511, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 11202, 31, 7, 511, 19, 3394, 216, 354, 3828, 58, 1, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 11202, 21680, 953, 834, 4350, 834, 5553, 549, 17444, 427, 511, 3274, 96, 1635, 17, 77, 3, 88, 354, 3828, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which skip's lead is Gordon McDougall?
SELECT skip FROM table_name_17 WHERE lead = "gordon mcdougall"
CREATE TABLE table_name_17 (skip VARCHAR, lead VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2517, 41, 4009, 102, 584, 4280, 28027, 6, 991, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 11202, 31, 7, 991, 19, 14626, 3038, 4135, 12204, 195, 58,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 11202, 21680, 953, 834, 4350, 834, 2517, 549, 17444, 427, 991, 3274, 96, 122, 127, 2029, 3, 51, 75, 26, 32, 12204, 195, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Which second's skip is Chris Plys?
SELECT second FROM table_name_10 WHERE skip = "chris plys"
CREATE TABLE table_name_10 (second VARCHAR, skip VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1714, 41, 12091, 584, 4280, 28027, 6, 11202, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 511, 31, 7, 11202, 19, 4409, 276, 120, 7, 58, 1, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 511, 21680, 953, 834, 4350, 834, 1714, 549, 17444, 427, 11202, 3274, 96, 524, 52, 159, 3, 102, 120, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
How many Poles have a Class of 125cc, and a Team of matteoni racing team, and Points larger than 3?
SELECT SUM(poles) FROM table_name_39 WHERE class = "125cc" AND team = "matteoni racing team" AND points > 3
CREATE TABLE table_name_39 (poles INTEGER, points VARCHAR, class VARCHAR, team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3288, 41, 14332, 7, 3, 21342, 17966, 6, 979, 584, 4280, 28027, 6, 853, 584, 4280, 28027, 6, 372, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 180, 6122, 599, 14332, 7, 61, 21680, 953, 834, 4350, 834, 3288, 549, 17444, 427, 853, 3274, 96, 10124, 75, 75, 121, 3430, 372, 3274, 96, 51, 10206, 106, 23, 8191, 372, 121, 3430, 979, 2490, 220, 1, -100, -100, -10...
How many Podiums have a Class of 250cc, and an F laps of 0?
SELECT SUM(podiums) FROM table_name_18 WHERE class = "250cc" AND f_laps = 0
CREATE TABLE table_name_18 (podiums INTEGER, class VARCHAR, f_laps VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2606, 41, 11410, 2552, 7, 3, 21342, 17966, 6, 853, 584, 4280, 28027, 6, 3, 89, 834, 8478, 7, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 1908,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 180, 6122, 599, 11410, 2552, 7, 61, 21680, 953, 834, 4350, 834, 2606, 549, 17444, 427, 853, 3274, 96, 11434, 75, 75, 121, 3430, 3, 89, 834, 8478, 7, 3274, 3, 632, 1, -100, -100, -100, -100, -100, -100, -100, -100,...
Team of elgin city, and a Highest smaller than 537 had what total number of average?
SELECT COUNT(average) FROM table_name_20 WHERE team = "elgin city" AND highest < 537
CREATE TABLE table_name_20 (average VARCHAR, team VARCHAR, highest VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1755, 41, 28951, 584, 4280, 28027, 6, 372, 584, 4280, 28027, 6, 2030, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2271, 13, 3, 15, 40, 122, 77, 690, 6, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 28951, 61, 21680, 953, 834, 4350, 834, 1755, 549, 17444, 427, 372, 3274, 96, 15, 40, 122, 77, 690, 121, 3430, 2030, 3, 2, 305, 4118, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Lowest larger than 288, and a Team of east stirlingshire has what lowest average?
SELECT MIN(average) FROM table_name_61 WHERE lowest > 288 AND team = "east stirlingshire"
CREATE TABLE table_name_61 (average INTEGER, lowest VARCHAR, team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4241, 41, 28951, 3, 21342, 17966, 6, 7402, 584, 4280, 28027, 6, 372, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5586, 222, 2186, 145, 2059, 11864, 11, 3,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 28951, 61, 21680, 953, 834, 4350, 834, 4241, 549, 17444, 427, 7402, 2490, 204, 4060, 3430, 372, 3274, 96, 11535, 7831, 697, 5718, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
what is the owner of the c501
SELECT owner FROM table_name_2 WHERE locomotive = "c501"
CREATE TABLE table_name_2 (owner VARCHAR, locomotive VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 357, 41, 13238, 584, 4280, 28027, 6, 31301, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 125, 19, 8, 2527, 13, 8, 3, 75, 20176, 1, 0, 0, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2527, 21680, 953, 834, 4350, 834, 357, 549, 17444, 427, 31301, 3274, 96, 75, 20176, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Record has a Game larger than 32, and a December smaller than 21?
SELECT record FROM table_name_34 WHERE game > 32 AND december < 21
CREATE TABLE table_name_34 (record VARCHAR, game VARCHAR, december VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3710, 41, 60, 7621, 584, 4280, 28027, 6, 467, 584, 4280, 28027, 6, 20, 75, 18247, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 11392, 65, 3, 9, 443...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1368, 21680, 953, 834, 4350, 834, 3710, 549, 17444, 427, 467, 2490, 3538, 3430, 20, 75, 18247, 3, 2, 1401, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Which Score has Points larger than 46, and a Game smaller than 35, and a December of 21?
SELECT score FROM table_name_35 WHERE points > 46 AND game < 35 AND december = 21
CREATE TABLE table_name_35 (score VARCHAR, december VARCHAR, points VARCHAR, game VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2469, 41, 7, 9022, 584, 4280, 28027, 6, 20, 75, 18247, 584, 4280, 28027, 6, 979, 584, 4280, 28027, 6, 467, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2604, 21680, 953, 834, 4350, 834, 2469, 549, 17444, 427, 979, 2490, 9668, 3430, 467, 3, 2, 3097, 3430, 20, 75, 18247, 3274, 1401, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which December is the lowest one that has Points of 52?
SELECT MIN(december) FROM table_name_96 WHERE points = 52
CREATE TABLE table_name_96 (december INTEGER, points VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4314, 41, 221, 75, 18247, 3, 21342, 17966, 6, 979, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 1882, 19, 8, 7402, 80, 24, 65, 4564, 7, 13, 9065, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 221, 75, 18247, 61, 21680, 953, 834, 4350, 834, 4314, 549, 17444, 427, 979, 3274, 9065, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Which December has Points of 48, and a Game larger than 33?
SELECT SUM(december) FROM table_name_77 WHERE points = 48 AND game > 33
CREATE TABLE table_name_77 (december INTEGER, points VARCHAR, game VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4013, 41, 221, 75, 18247, 3, 21342, 17966, 6, 979, 584, 4280, 28027, 6, 467, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 1882, 65, 4564, 7, 13, 46...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 221, 75, 18247, 61, 21680, 953, 834, 4350, 834, 4013, 549, 17444, 427, 979, 3274, 4678, 3430, 467, 2490, 5400, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
WHich Regular Season Champions has a Year of 1943–44?
SELECT regular_season_champion_s_ FROM table_name_70 WHERE year = "1943–44"
CREATE TABLE table_name_70 (regular_season_champion_s_ VARCHAR, year VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2518, 41, 60, 122, 4885, 834, 9476, 834, 17788, 12364, 834, 7, 834, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 3, 15313, 362, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1646, 834, 9476, 834, 17788, 12364, 834, 7, 834, 21680, 953, 834, 4350, 834, 2518, 549, 17444, 427, 215, 3274, 96, 2294, 4906, 104, 3628, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
WHich Tournament venue has a Tournament Champion of duke and a Record of 15–1?
SELECT tournament_venue FROM table_name_33 WHERE tournament_champion = "duke" AND record = "15–1"
CREATE TABLE table_name_33 (tournament_venue VARCHAR, tournament_champion VARCHAR, record VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4201, 41, 17, 1211, 20205, 17, 834, 15098, 584, 4280, 28027, 6, 5892, 834, 17788, 12364, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 3...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 5892, 834, 15098, 21680, 953, 834, 4350, 834, 4201, 549, 17444, 427, 5892, 834, 17788, 12364, 3274, 96, 1259, 1050, 121, 3430, 1368, 3274, 96, 1808, 104, 536, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -1...
When has a Tournament venue of richmond arena, and a Record of 12–1, and a Regular Season Champion(s) of virginia tech?
SELECT year FROM table_name_45 WHERE tournament_venue = "richmond arena" AND record = "12–1" AND regular_season_champion_s_ = "virginia tech"
CREATE TABLE table_name_45 (year VARCHAR, regular_season_champion_s_ VARCHAR, tournament_venue VARCHAR, record VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2128, 41, 1201, 584, 4280, 28027, 6, 1646, 834, 9476, 834, 17788, 12364, 834, 7, 834, 584, 4280, 28027, 6, 5892, 834, 15098, 584, 4280, 28027, 6, 1368, 584, 4280, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 215, 21680, 953, 834, 4350, 834, 2128, 549, 17444, 427, 5892, 834, 15098, 3274, 96, 3723, 6764, 15134, 121, 3430, 1368, 3274, 96, 2122, 104, 536, 121, 3430, 1646, 834, 9476, 834, 17788, 12364, 834, 7, 834, 3274, 96, ...
When has a Record of 9–1, and a Tournament Champion of duke?
SELECT year FROM table_name_50 WHERE record = "9–1" AND tournament_champion = "duke"
CREATE TABLE table_name_50 (year VARCHAR, record VARCHAR, tournament_champion VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1752, 41, 1201, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 6, 5892, 834, 17788, 12364, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 366, 65, 3, 9, 11392,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 215, 21680, 953, 834, 4350, 834, 1752, 549, 17444, 427, 1368, 3274, 96, 1298, 104, 536, 121, 3430, 5892, 834, 17788, 12364, 3274, 96, 1259, 1050, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Which Regular Season Champion(s) has a Tournament Champion of west virginia in 1955–56?
SELECT regular_season_champion_s_ FROM table_name_4 WHERE tournament_champion = "west virginia" AND year = "1955–56"
CREATE TABLE table_name_4 (regular_season_champion_s_ VARCHAR, tournament_champion VARCHAR, year VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 591, 41, 60, 122, 4885, 834, 9476, 834, 17788, 12364, 834, 7, 834, 584, 4280, 28027, 6, 5892, 834, 17788, 12364, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 61, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 1646, 834, 9476, 834, 17788, 12364, 834, 7, 834, 21680, 953, 834, 4350, 834, 591, 549, 17444, 427, 5892, 834, 17788, 12364, 3274, 96, 12425, 24556, 23, 9, 121, 3430, 215, 3274, 96, 2294, 3769, 104, 4834, 121, 1, -10...
Which Regular Season Champion(s) has a Record of 9–0, and a Tournament Champion of north carolina?
SELECT regular_season_champion_s_ FROM table_name_16 WHERE record = "9–0" AND tournament_champion = "north carolina"
CREATE TABLE table_name_16 (regular_season_champion_s_ VARCHAR, record VARCHAR, tournament_champion VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2938, 41, 60, 122, 4885, 834, 9476, 834, 17788, 12364, 834, 7, 834, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 6, 5892, 834, 17788, 12364, 584, 4280, 28027, 61, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 1646, 834, 9476, 834, 17788, 12364, 834, 7, 834, 21680, 953, 834, 4350, 834, 2938, 549, 17444, 427, 1368, 3274, 96, 1298, 104, 632, 121, 3430, 5892, 834, 17788, 12364, 3274, 96, 29, 127, 189, 443, 12057, 9, 121, 1, ...
What is the lowest round for a player selected from a college of New Hampshire?
SELECT MIN(round) FROM table_name_64 WHERE college_junior_club_team__league_ = "new hampshire"
CREATE TABLE table_name_64 (round INTEGER, college_junior_club_team__league_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4389, 41, 7775, 3, 21342, 17966, 6, 1900, 834, 6959, 23, 127, 834, 13442, 834, 11650, 834, 834, 29512, 834, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 36...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 7775, 61, 21680, 953, 834, 4350, 834, 4389, 549, 17444, 427, 1900, 834, 6959, 23, 127, 834, 13442, 834, 11650, 834, 834, 29512, 834, 3274, 96, 5534, 3, 1483, 102, 5718, 121, 1, -100, -100, -100, -100,...
What nationality is Rod Langway?
SELECT nationality FROM table_name_79 WHERE player = "rod langway"
CREATE TABLE table_name_79 (nationality VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4440, 41, 16557, 485, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 1157, 485, 19, 8222, 7073, 1343, 58, 1, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1157, 485, 21680, 953, 834, 4350, 834, 4440, 549, 17444, 427, 1959, 3274, 96, 9488, 12142, 1343, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What position is the player selected that has a round value over 3?
SELECT position FROM table_name_81 WHERE round > 3
CREATE TABLE table_name_81 (position VARCHAR, round INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4959, 41, 4718, 584, 4280, 28027, 6, 1751, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 363, 1102, 19, 8, 1959, 2639, 24, 65, 3, 9, 1751, 701, 147, 220, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1102, 21680, 953, 834, 4350, 834, 4959, 549, 17444, 427, 1751, 2490, 220, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What college did the player selected in rounds over 3 play for?
SELECT college_junior_club_team__league_ FROM table_name_59 WHERE round > 3
CREATE TABLE table_name_59 (college_junior_club_team__league_ VARCHAR, round INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3390, 41, 3297, 7883, 834, 6959, 23, 127, 834, 13442, 834, 11650, 834, 834, 29512, 834, 584, 4280, 28027, 6, 1751, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 321...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1900, 834, 6959, 23, 127, 834, 13442, 834, 11650, 834, 834, 29512, 834, 21680, 953, 834, 4350, 834, 3390, 549, 17444, 427, 1751, 2490, 220, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the highest round that has a player selected from Clarkson University?
SELECT MAX(round) FROM table_name_15 WHERE college_junior_club_team__league_ = "clarkson university"
CREATE TABLE table_name_15 (round INTEGER, college_junior_club_team__league_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1808, 41, 7775, 3, 21342, 17966, 6, 1900, 834, 6959, 23, 127, 834, 13442, 834, 11650, 834, 834, 29512, 834, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 36...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 7775, 61, 21680, 953, 834, 4350, 834, 1808, 549, 17444, 427, 1900, 834, 6959, 23, 127, 834, 13442, 834, 11650, 834, 834, 29512, 834, 3274, 96, 23982, 157, 739, 3819, 121, 1, -100, -100, -100, -100, -10...
What is the lowest rank of Deutsche Telekom with a market value over 209,628?
SELECT MIN(rank) FROM table_name_85 WHERE name = "deutsche telekom" AND market_value___usd_million_ > 209 OFFSET 628
CREATE TABLE table_name_85 (rank INTEGER, name VARCHAR, market_value___usd_million_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4433, 41, 6254, 3, 21342, 17966, 6, 564, 584, 4280, 28027, 6, 512, 834, 12097, 834, 834, 834, 302, 26, 834, 17030, 834, 584, 4280, 28027, 61, 3, 32105, 32106, 32...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 17684, 599, 6254, 61, 21680, 953, 834, 4350, 834, 4433, 549, 17444, 427, 564, 3274, 96, 11751, 3, 1931, 4524, 121, 3430, 512, 834, 12097, 834, 834, 834, 302, 26, 834, 17030, 834, 2490, 460, 1298, 3, 15316, 20788,...
What is the total market value of all corporations headquartered in Germany?
SELECT COUNT(market_value___usd_million_) FROM table_name_51 WHERE headquarters = "germany"
CREATE TABLE table_name_51 (market_value___usd_million_ VARCHAR, headquarters VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5553, 41, 8809, 834, 12097, 834, 834, 834, 302, 26, 834, 17030, 834, 584, 4280, 28027, 6, 13767, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 8809, 834, 12097, 834, 834, 834, 302, 26, 834, 17030, 834, 61, 21680, 953, 834, 4350, 834, 5553, 549, 17444, 427, 13767, 3274, 96, 1304, 348, 63, 121, 1, -100, -100, -100, -100, -100, -100, -100, -...
What is the lowest earnings of Vijay Singh who had more than 24 wins?
SELECT MIN(earnings___) AS $__ FROM table_name_34 WHERE player = "vijay singh" AND wins > 24
CREATE TABLE table_name_34 (earnings___ INTEGER, player VARCHAR, wins VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3710, 41, 2741, 29, 53, 7, 834, 834, 834, 3, 21342, 17966, 6, 1959, 584, 4280, 28027, 6, 9204, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 2741, 29, 53, 7, 834, 834, 834, 61, 6157, 1514, 834, 834, 21680, 953, 834, 4350, 834, 3710, 549, 17444, 427, 1959, 3274, 96, 2099, 1191, 63, 10159, 107, 121, 3430, 9204, 2490, 997, 1, -100, -100, -1...
Which Rank is the highest one that has a Change smaller than 44, and a Centre of buenos aires, and a Rating larger than 628?
SELECT MAX(rank) FROM table_name_2 WHERE change < 44 AND centre = "buenos aires" AND rating > 628
CREATE TABLE table_name_2 (rank INTEGER, rating VARCHAR, change VARCHAR, centre VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 357, 41, 6254, 3, 21342, 17966, 6, 5773, 584, 4280, 28027, 6, 483, 584, 4280, 28027, 6, 2050, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 3, 22557, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 4800, 4, 599, 6254, 61, 21680, 953, 834, 4350, 834, 357, 549, 17444, 427, 483, 3, 2, 8537, 3430, 2050, 3274, 96, 3007, 15, 4844, 3, 4803, 121, 3430, 5773, 2490, 431, 2577, 1, -100, -100, -100, -100, -100, -100, -1...
Which Centre has a Rank of 42?
SELECT centre FROM table_name_34 WHERE rank = 42
CREATE TABLE table_name_34 (centre VARCHAR, rank VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3710, 41, 3728, 60, 584, 4280, 28027, 6, 11003, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 2969, 65, 3, 9, 3, 22557, 13, 6426, 58, 1, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2050, 21680, 953, 834, 4350, 834, 3710, 549, 17444, 427, 11003, 3274, 6426, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which Rating has a Centre of helsinki?
SELECT SUM(rating) FROM table_name_88 WHERE centre = "helsinki"
CREATE TABLE table_name_88 (rating INTEGER, centre VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4060, 41, 52, 1014, 3, 21342, 17966, 6, 2050, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 21662, 65, 3, 9, 2969, 13, 3, 88, 40, 7, 6090, 23, 58,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 52, 1014, 61, 21680, 953, 834, 4350, 834, 4060, 549, 17444, 427, 2050, 3274, 96, 88, 40, 7, 6090, 23, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Which Change is the average one that has a Centre of buenos aires, and a Rank smaller than 46?
SELECT AVG(change) FROM table_name_31 WHERE centre = "buenos aires" AND rank < 46
CREATE TABLE table_name_31 (change INTEGER, centre VARCHAR, rank VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3341, 41, 13073, 3, 21342, 17966, 6, 2050, 584, 4280, 28027, 6, 11003, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 5968, 19, 8, 1348, 80, 24, 65, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 13073, 61, 21680, 953, 834, 4350, 834, 3341, 549, 17444, 427, 2050, 3274, 96, 3007, 15, 4844, 3, 4803, 121, 3430, 11003, 3, 2, 9668, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Operation of find-min has what Fibonacci?
SELECT fibonacci FROM table_name_18 WHERE operation = "find-min"
CREATE TABLE table_name_18 (fibonacci VARCHAR, operation VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2606, 41, 89, 23, 5407, 9, 9920, 584, 4280, 28027, 6, 2986, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 6411, 1575, 13, 253, 18, 1109, 65, 125, 3188, 54...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 361, 5407, 9, 9920, 21680, 953, 834, 4350, 834, 2606, 549, 17444, 427, 2986, 3274, 96, 8954, 18, 1109, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Binomial of θ(1) has what pairing?
SELECT pairing FROM table_name_68 WHERE binomial = "θ(1)"
CREATE TABLE table_name_68 (pairing VARCHAR, binomial VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3651, 41, 13585, 1007, 584, 4280, 28027, 6, 2701, 30019, 40, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 7617, 30019, 40, 13, 3, 2, 14296, 65, 125, 22073,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 22073, 21680, 953, 834, 4350, 834, 3651, 549, 17444, 427, 2701, 30019, 40, 3274, 96, 2, 14296, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Pairing of θ(1), and a Binomial of θ(1) is what binary?
SELECT binary FROM table_name_82 WHERE pairing = "θ(1)" AND binomial = "θ(1)"
CREATE TABLE table_name_82 (binary VARCHAR, pairing VARCHAR, binomial VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4613, 41, 4517, 1208, 584, 4280, 28027, 6, 22073, 584, 4280, 28027, 6, 2701, 30019, 40, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 25072, 53, 13, 3, 2, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 14865, 21680, 953, 834, 4350, 834, 4613, 549, 17444, 427, 22073, 3274, 96, 2, 14296, 121, 3430, 2701, 30019, 40, 3274, 96, 2, 14296, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Operation of find-min has what binary?
SELECT binary FROM table_name_98 WHERE operation = "find-min"
CREATE TABLE table_name_98 (binary VARCHAR, operation VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3916, 41, 4517, 1208, 584, 4280, 28027, 6, 2986, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 6411, 1575, 13, 253, 18, 1109, 65, 125, 14865, 58, 1, 0, 0,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 14865, 21680, 953, 834, 4350, 834, 3916, 549, 17444, 427, 2986, 3274, 96, 8954, 18, 1109, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Binary of θ(log n), and a Fibonacci of θ(1) has what binomial?
SELECT binomial FROM table_name_7 WHERE binary = "θ(log n)" AND fibonacci = "θ(1)"
CREATE TABLE table_name_7 (binomial VARCHAR, binary VARCHAR, fibonacci VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 940, 41, 4517, 30019, 40, 584, 4280, 28027, 6, 14865, 584, 4280, 28027, 6, 361, 5407, 9, 9920, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 29221, 13, 3, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2701, 30019, 40, 21680, 953, 834, 4350, 834, 940, 549, 17444, 427, 14865, 3274, 96, 2, 599, 2152, 3, 29, 61, 121, 3430, 361, 5407, 9, 9920, 3274, 96, 2, 14296, 121, 1, -100, -100, -100, -100, -100, -100, -100, -10...
Which of the titles have a duration time of 4:57?
SELECT title FROM table_name_81 WHERE duration = "4:57"
CREATE TABLE table_name_81 (title VARCHAR, duration VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4959, 41, 21869, 584, 4280, 28027, 6, 8659, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 13, 8, 8342, 43, 3, 9, 8659, 97, 13, 314, 10, 3436, 58, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2233, 21680, 953, 834, 4350, 834, 4959, 549, 17444, 427, 8659, 3274, 96, 591, 10, 3436, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What composer has a duration time of 3:31?
SELECT composer FROM table_name_8 WHERE duration = "3:31"
CREATE TABLE table_name_8 (composer VARCHAR, duration VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 927, 41, 287, 2748, 49, 584, 4280, 28027, 6, 8659, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 13075, 65, 3, 9, 8659, 97, 13, 220, 10, 3341, 58, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 13075, 21680, 953, 834, 4350, 834, 927, 549, 17444, 427, 8659, 3274, 96, 519, 10, 3341, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which one of the duration has a translation of 1000 lies?
SELECT duration FROM table_name_73 WHERE translation = "1000 lies"
CREATE TABLE table_name_73 (duration VARCHAR, translation VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4552, 41, 1259, 2661, 584, 4280, 28027, 6, 7314, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 80, 13, 8, 8659, 65, 3, 9, 7314, 13, 5580, 7797, 58, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 8659, 21680, 953, 834, 4350, 834, 4552, 549, 17444, 427, 7314, 3274, 96, 16824, 7797, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Which title has a translation of I know in it?
SELECT title FROM table_name_76 WHERE translation = "i know"
CREATE TABLE table_name_76 (title VARCHAR, translation VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3959, 41, 21869, 584, 4280, 28027, 6, 7314, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 2233, 65, 3, 9, 7314, 13, 27, 214, 16, 34, 58, 1, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2233, 21680, 953, 834, 4350, 834, 3959, 549, 17444, 427, 7314, 3274, 96, 23, 214, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which title has a translation in it of 1000 lies?
SELECT title FROM table_name_32 WHERE translation = "1000 lies"
CREATE TABLE table_name_32 (title VARCHAR, translation VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2668, 41, 21869, 584, 4280, 28027, 6, 7314, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 2233, 65, 3, 9, 7314, 16, 34, 13, 5580, 7797, 58, 1, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2233, 21680, 953, 834, 4350, 834, 2668, 549, 17444, 427, 7314, 3274, 96, 16824, 7797, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Who won the gold when Bertil Ahlin Sweden won the silver?
SELECT gold FROM table_name_48 WHERE silver = "bertil ahlin sweden"
CREATE TABLE table_name_48 (gold VARCHAR, silver VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3707, 41, 14910, 584, 4280, 28027, 6, 4294, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 751, 8, 2045, 116, 20612, 173, 9710, 40, 77, 12207, 751, 8, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2045, 21680, 953, 834, 4350, 834, 3707, 549, 17444, 427, 4294, 3274, 96, 7041, 173, 3, 9, 107, 40, 77, 3, 7, 1123, 537, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Who won the gold when Jules van Dyk Belgium won bronze?
SELECT gold FROM table_name_13 WHERE bronze = "jules van dyk belgium"
CREATE TABLE table_name_13 (gold VARCHAR, bronze VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2368, 41, 14910, 584, 4280, 28027, 6, 13467, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 751, 8, 2045, 116, 3736, 965, 4049, 12991, 157, 15575, 751, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2045, 21680, 953, 834, 4350, 834, 2368, 549, 17444, 427, 13467, 3274, 96, 2047, 965, 4049, 3, 26, 63, 157, 36, 40, 122, 2552, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Who is the second for the curling team which has alternate Margarita Fomina?
SELECT second FROM table_name_48 WHERE alternate = "margarita fomina"
CREATE TABLE table_name_48 (second VARCHAR, alternate VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3707, 41, 12091, 584, 4280, 28027, 6, 13902, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 19, 8, 511, 21, 8, 18322, 53, 372, 84, 65, 13902, 16409, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 511, 21680, 953, 834, 4350, 834, 3707, 549, 17444, 427, 13902, 3274, 96, 1635, 1478, 155, 9, 5575, 1109, 9, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...