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 team was class AA in years 1994-95?
SELECT class_aA FROM table_name_52 WHERE school_year = "1994-95"
CREATE TABLE table_name_52 (class_aA VARCHAR, school_year VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5373, 41, 4057, 834, 9, 188, 584, 4280, 28027, 6, 496, 834, 1201, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 372, 47, 853, 3, 5498, 16, 203, 7520,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 853, 834, 9, 188, 21680, 953, 834, 4350, 834, 5373, 549, 17444, 427, 496, 834, 1201, 3274, 96, 2294, 4240, 18, 3301, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who was Class AA in School Year 1994-95?
SELECT class_aA FROM table_name_26 WHERE school_year = "1994-95"
CREATE TABLE table_name_26 (class_aA VARCHAR, school_year VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2688, 41, 4057, 834, 9, 188, 584, 4280, 28027, 6, 496, 834, 1201, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 4501, 3, 5498, 16, 1121, 2929, 7...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 853, 834, 9, 188, 21680, 953, 834, 4350, 834, 2688, 549, 17444, 427, 496, 834, 1201, 3274, 96, 2294, 4240, 18, 3301, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What's the date of the game that has the Bulls as a visiting team?
SELECT date FROM table_name_48 WHERE visitor = "bulls"
CREATE TABLE table_name_48 (date VARCHAR, visitor VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3707, 41, 5522, 584, 4280, 28027, 6, 7019, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 31, 7, 8, 833, 13, 8, 467, 24, 65, 8, 10204, 7, 38, 3, 9...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 833, 21680, 953, 834, 4350, 834, 3707, 549, 17444, 427, 7019, 3274, 96, 20638, 7, 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 average game number that took place after February 13 against the Toronto Maple Leafs and more than 47 points were scored?
SELECT AVG(game) FROM table_name_3 WHERE february > 13 AND opponent = "toronto maple leafs" AND points > 47
CREATE TABLE table_name_3 (game INTEGER, points VARCHAR, february VARCHAR, opponent VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 519, 41, 7261, 3, 21342, 17966, 6, 979, 584, 4280, 28027, 6, 29976, 76, 1208, 584, 4280, 28027, 6, 15264, 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, 1, 1...
[ 3, 23143, 14196, 71, 17217, 599, 7261, 61, 21680, 953, 834, 4350, 834, 519, 549, 17444, 427, 29976, 76, 1208, 2490, 1179, 3430, 15264, 3274, 96, 235, 4438, 32, 22007, 8384, 7, 121, 3430, 979, 2490, 10635, 1, -100, -100, -100, -100, ...
Who was the opponent at the game at Sullivan Stadium before week 11?
SELECT opponent FROM table_name_30 WHERE week < 11 AND game_site = "sullivan stadium"
CREATE TABLE table_name_30 (opponent VARCHAR, week VARCHAR, game_site VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1458, 41, 32, 102, 9977, 584, 4280, 28027, 6, 471, 584, 4280, 28027, 6, 467, 834, 3585, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 15264, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 15264, 21680, 953, 834, 4350, 834, 1458, 549, 17444, 427, 471, 3, 2, 850, 3430, 467, 834, 3585, 3274, 96, 7, 83, 20580, 152, 14939, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the years coached by the person with a win percentage of 0.667 and 380 losses?
SELECT years FROM table_name_25 WHERE pct = 0.667 AND lost = 380
CREATE TABLE table_name_25 (years VARCHAR, pct VARCHAR, lost VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1828, 41, 1201, 7, 584, 4280, 28027, 6, 3, 102, 75, 17, 584, 4280, 28027, 6, 1513, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 203, 3, 309...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 203, 21680, 953, 834, 4350, 834, 1828, 549, 17444, 427, 3, 102, 75, 17, 3274, 3, 22787, 3708, 3430, 1513, 3274, 3, 22671, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the average percent for the coach from 1905 and more than 7 losses?
SELECT AVG(pct) FROM table_name_97 WHERE years = "1905" AND lost > 7
CREATE TABLE table_name_97 (pct INTEGER, years VARCHAR, lost VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4327, 41, 102, 75, 17, 3, 21342, 17966, 6, 203, 584, 4280, 28027, 6, 1513, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1348, 1093, 21, 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, 71, 17217, 599, 102, 75, 17, 61, 21680, 953, 834, 4350, 834, 4327, 549, 17444, 427, 203, 3274, 96, 11776, 17395, 3430, 1513, 2490, 489, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many percentages have 20 losses and more than 1 season?
SELECT COUNT(pct) FROM table_name_17 WHERE lost = 20 AND seasons > 1
CREATE TABLE table_name_17 (pct VARCHAR, lost VARCHAR, seasons VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2517, 41, 102, 75, 17, 584, 4280, 28027, 6, 1513, 584, 4280, 28027, 6, 9385, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 5294, 7, 43, 460, 846...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2847, 17161, 599, 102, 75, 17, 61, 21680, 953, 834, 4350, 834, 2517, 549, 17444, 427, 1513, 3274, 460, 3430, 9385, 2490, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What home has February 10 as the date?
SELECT home FROM table_name_67 WHERE date = "february 10"
CREATE TABLE table_name_67 (home VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3708, 41, 5515, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 234, 65, 2083, 335, 38, 8, 833, 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, 234, 21680, 953, 834, 4350, 834, 3708, 549, 17444, 427, 833, 3274, 96, 89, 15, 9052, 1208, 335, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What date has ny islanders as the visitor?
SELECT date FROM table_name_66 WHERE visitor = "ny islanders"
CREATE TABLE table_name_66 (date VARCHAR, visitor VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3539, 41, 5522, 584, 4280, 28027, 6, 7019, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 833, 65, 3, 29, 63, 3368, 277, 38, 8, 7019, 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, 833, 21680, 953, 834, 4350, 834, 3539, 549, 17444, 427, 7019, 3274, 96, 29, 63, 3368, 277, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What score has February 10 as the date?
SELECT score FROM table_name_57 WHERE date = "february 10"
CREATE TABLE table_name_57 (score VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3436, 41, 7, 9022, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 2604, 65, 2083, 335, 38, 8, 833, 58, 1, 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, 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, 2604, 21680, 953, 834, 4350, 834, 3436, 549, 17444, 427, 833, 3274, 96, 89, 15, 9052, 1208, 335, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Name the course for 24 july
SELECT course FROM table_name_29 WHERE date = "24 july"
CREATE TABLE table_name_29 (course VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3166, 41, 19221, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 503, 21, 997, 3, 2047, 120, 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, 503, 21680, 953, 834, 4350, 834, 3166, 549, 17444, 427, 833, 3274, 96, 2266, 3, 2047, 120, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Name the course for team time trial
SELECT course FROM table_name_58 WHERE type = "team time trial"
CREATE TABLE table_name_58 (course VARCHAR, type VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3449, 41, 19221, 584, 4280, 28027, 6, 686, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 503, 21, 372, 97, 3689, 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, 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, 503, 21680, 953, 834, 4350, 834, 3449, 549, 17444, 427, 686, 3274, 96, 11650, 97, 3689, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Name the winner for rest day for 13 july
SELECT winner FROM table_name_98 WHERE course = "rest day" AND date = "13 july"
CREATE TABLE table_name_98 (winner VARCHAR, course VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3916, 41, 3757, 687, 584, 4280, 28027, 6, 503, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 4668, 21, 880, 239, 21, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4668, 21680, 953, 834, 4350, 834, 3916, 549, 17444, 427, 503, 3274, 96, 6216, 239, 121, 3430, 833, 3274, 96, 2368, 3, 2047, 120, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Shawn Michaels entered the elimination chamber in what position?
SELECT SUM(entered) FROM table_name_86 WHERE wrestler = "shawn michaels"
CREATE TABLE table_name_86 (entered INTEGER, wrestler VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3840, 41, 35, 11196, 3, 21342, 17966, 6, 26033, 52, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 15333, 29, 2457, 7, 5136, 8, 23458, 10751, 16, 125, 1102, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 180, 6122, 599, 35, 11196, 61, 21680, 953, 834, 4350, 834, 3840, 549, 17444, 427, 26033, 52, 3274, 96, 15622, 29, 2278, 9, 3573, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who Eliminated Kurt Angle?
SELECT eliminated_by FROM table_name_49 WHERE wrestler = "kurt angle"
CREATE TABLE table_name_49 (eliminated_by VARCHAR, wrestler VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3647, 41, 15, 4941, 77, 920, 834, 969, 584, 4280, 28027, 6, 26033, 52, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 7495, 1109, 920, 8333, 17, 26815,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 17809, 834, 969, 21680, 953, 834, 4350, 834, 3647, 549, 17444, 427, 26033, 52, 3274, 96, 10923, 17, 7669, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Who Eliminated Kane?
SELECT eliminated_by FROM table_name_63 WHERE wrestler = "kane"
CREATE TABLE table_name_63 (eliminated_by VARCHAR, wrestler VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3891, 41, 15, 4941, 77, 920, 834, 969, 584, 4280, 28027, 6, 26033, 52, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 7495, 1109, 920, 4540, 15, 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, 17809, 834, 969, 21680, 953, 834, 4350, 834, 3891, 549, 17444, 427, 26033, 52, 3274, 96, 3304, 15, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the sum of all gold medals for Algeria when total medals is less than 3?
SELECT SUM(gold) FROM table_name_98 WHERE nation = "algeria" AND total < 3
CREATE TABLE table_name_98 (gold INTEGER, nation VARCHAR, total VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3916, 41, 14910, 3, 21342, 17966, 6, 2982, 584, 4280, 28027, 6, 792, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 4505, 13, 66, 2045, 9365, 7...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 180, 6122, 599, 14910, 61, 21680, 953, 834, 4350, 834, 3916, 549, 17444, 427, 2982, 3274, 96, 138, 122, 4476, 121, 3430, 792, 3, 2, 220, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
what is the population of Valencia, Spain?
SELECT AVG(population) FROM table_name_56 WHERE country = "spain" AND urban_area = "valencia"
CREATE TABLE table_name_56 (population INTEGER, country VARCHAR, urban_area VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4834, 41, 9791, 7830, 3, 21342, 17966, 6, 684, 584, 4280, 28027, 6, 4150, 834, 498, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 125, 19, 8, 2074, 13, 26...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 71, 17217, 599, 9791, 7830, 61, 21680, 953, 834, 4350, 834, 4834, 549, 17444, 427, 684, 3274, 96, 14147, 77, 121, 3430, 4150, 834, 498, 3274, 96, 2165, 35, 4915, 121, 1, -100, -100, -100, -100, -100, -100, -100, -10...
which year holds rank 2?
SELECT MAX(year) FROM table_name_89 WHERE rank = "2"
CREATE TABLE table_name_89 (year INTEGER, rank VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3914, 41, 1201, 3, 21342, 17966, 6, 11003, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 84, 215, 4532, 11003, 204, 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, 4800, 4, 599, 1201, 61, 21680, 953, 834, 4350, 834, 3914, 549, 17444, 427, 11003, 3274, 96, 357, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
with name meridian condominiums what is number of floors?
SELECT AVG(floors) FROM table_name_19 WHERE name = "meridian condominiums"
CREATE TABLE table_name_19 (floors INTEGER, name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2294, 41, 20924, 7, 3, 21342, 17966, 6, 564, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 28, 564, 3, 935, 23, 8603, 28354, 7, 125, 19, 381, 13, 8242, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 71, 17217, 599, 20924, 7, 61, 21680, 953, 834, 4350, 834, 2294, 549, 17444, 427, 564, 3274, 96, 935, 23, 8603, 28354, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
with rank of 31 what is the year?
SELECT COUNT(year) FROM table_name_48 WHERE rank = "31"
CREATE TABLE table_name_48 (year VARCHAR, rank VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3707, 41, 1201, 584, 4280, 28027, 6, 11003, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 28, 11003, 13, 2664, 125, 19, 8, 215, 58, 1, 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, 2847, 17161, 599, 1201, 61, 21680, 953, 834, 4350, 834, 3707, 549, 17444, 427, 11003, 3274, 96, 3341, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the date of the match against the visiting team, Toronto?
SELECT date FROM table_name_78 WHERE visitor = "toronto"
CREATE TABLE table_name_78 (date VARCHAR, visitor VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3940, 41, 5522, 584, 4280, 28027, 6, 7019, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 833, 13, 8, 1588, 581, 8, 3644, 372, 6, 7030, 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, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 3940, 549, 17444, 427, 7019, 3274, 96, 235, 4438, 32, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Who played the home team during the game on January 6?
SELECT home FROM table_name_56 WHERE date = "january 6"
CREATE TABLE table_name_56 (home VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4834, 41, 5515, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 1944, 8, 234, 372, 383, 8, 467, 30, 1762, 431, 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, 234, 21680, 953, 834, 4350, 834, 4834, 549, 17444, 427, 833, 3274, 96, 7066, 76, 1208, 431, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What was the cougars record during the game where Boston were the visitors?
SELECT record FROM table_name_88 WHERE visitor = "boston"
CREATE TABLE table_name_88 (record VARCHAR, visitor VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4060, 41, 60, 7621, 584, 4280, 28027, 6, 7019, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 3, 3422, 1478, 7, 1368, 383, 8, 467, 213, 5053, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1368, 21680, 953, 834, 4350, 834, 4060, 549, 17444, 427, 7019, 3274, 96, 115, 32, 4411, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What's the lowest Drawn that has a Lost that's less than 0?
SELECT MIN(drawn) FROM table_name_1 WHERE lost < 0
CREATE TABLE table_name_1 (drawn INTEGER, lost INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 536, 41, 19489, 29, 3, 21342, 17966, 6, 1513, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 363, 31, 7, 8, 7402, 19183, 29, 24, 65, 3, 9, 19576, 24, 31, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3, 17684, 599, 19489, 29, 61, 21680, 953, 834, 4350, 834, 536, 549, 17444, 427, 1513, 3, 2, 3, 632, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What's the total Lost with Games that's less than 4?
SELECT SUM(lost) FROM table_name_23 WHERE games < 4
CREATE TABLE table_name_23 (lost INTEGER, games INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2773, 41, 2298, 17, 3, 21342, 17966, 6, 1031, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 363, 31, 7, 8, 792, 19576, 28, 5880, 24, 31, 7, 705, 145, 314...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 180, 6122, 599, 2298, 17, 61, 21680, 953, 834, 4350, 834, 2773, 549, 17444, 427, 1031, 3, 2, 314, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What's the total of Games with a Lost that's larger than 2, and has Points that's smaller than 0?
SELECT SUM(games) FROM table_name_75 WHERE lost > 2 AND points < 0
CREATE TABLE table_name_75 (games INTEGER, lost VARCHAR, points VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3072, 41, 7261, 7, 3, 21342, 17966, 6, 1513, 584, 4280, 28027, 6, 979, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 31, 7, 8, 792, 13, 5880, 28, 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, 7261, 7, 61, 21680, 953, 834, 4350, 834, 3072, 549, 17444, 427, 1513, 2490, 204, 3430, 979, 3, 2, 3, 632, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What's the Lost average that has a Drawn less than 0?
SELECT AVG(lost) FROM table_name_19 WHERE drawn < 0
CREATE TABLE table_name_19 (lost INTEGER, drawn INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2294, 41, 2298, 17, 3, 21342, 17966, 6, 6796, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 363, 31, 7, 8, 19576, 1348, 24, 65, 3, 9, 19183, 29, 705, 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, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 2298, 17, 61, 21680, 953, 834, 4350, 834, 2294, 549, 17444, 427, 6796, 3, 2, 3, 632, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What record has @ ottawa senators as the opponent?
SELECT record FROM table_name_93 WHERE opponent = "@ ottawa senators"
CREATE TABLE table_name_93 (record VARCHAR, opponent VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4271, 41, 60, 7621, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 1368, 65, 3320, 3, 32, 17, 17, 7396, 20596, 7, 38, 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, 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, 4271, 549, 17444, 427, 15264, 3274, 96, 1741, 3, 32, 17, 17, 7396, 20596, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What game has 28 points, and tampa bay lightning as the opponent?
SELECT game FROM table_name_50 WHERE points = 28 AND opponent = "tampa bay lightning"
CREATE TABLE table_name_50 (game VARCHAR, points VARCHAR, opponent VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1752, 41, 7261, 584, 4280, 28027, 6, 979, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 467, 65, 2059, 979, 6, 11, 3, 17,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 467, 21680, 953, 834, 4350, 834, 1752, 549, 17444, 427, 979, 3274, 2059, 3430, 15264, 3274, 96, 17, 4624, 9, 10210, 21463, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the average points that have a December less than 6, with a game greater than 26?
SELECT AVG(points) FROM table_name_17 WHERE december < 6 AND game > 26
CREATE TABLE table_name_17 (points INTEGER, december VARCHAR, game VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2517, 41, 2700, 7, 3, 21342, 17966, 6, 20, 75, 18247, 584, 4280, 28027, 6, 467, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1348, 979, 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, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 2700, 7, 61, 21680, 953, 834, 4350, 834, 2517, 549, 17444, 427, 20, 75, 18247, 3, 2, 431, 3430, 467, 2490, 2208, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Who was the opponent at the game with a loss of Sele (0-1)?
SELECT opponent FROM table_name_36 WHERE loss = "sele (0-1)"
CREATE TABLE table_name_36 (opponent VARCHAR, loss VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3420, 41, 32, 102, 9977, 584, 4280, 28027, 6, 1453, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 15264, 44, 8, 467, 28, 3, 9, 1453, 13, 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, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 15264, 21680, 953, 834, 4350, 834, 3420, 549, 17444, 427, 1453, 3274, 96, 7, 400, 17482, 18, 6982, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Record of 42–16–8, and a March larger than 5 has what average points?
SELECT AVG(points) FROM table_name_95 WHERE record = "42–16–8" AND march > 5
CREATE TABLE table_name_95 (points INTEGER, record VARCHAR, march VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3301, 41, 2700, 7, 3, 21342, 17966, 6, 1368, 584, 4280, 28027, 6, 10556, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 11392, 13, 6426, 104, 2938, 104, 1186...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 71, 17217, 599, 2700, 7, 61, 21680, 953, 834, 4350, 834, 3301, 549, 17444, 427, 1368, 3274, 96, 4165, 104, 2938, 104, 927, 121, 3430, 10556, 2490, 305, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Points smaller than 96, and a Record of 43–16–8 belongs to what game?
SELECT game FROM table_name_30 WHERE points < 96 AND record = "43–16–8"
CREATE TABLE table_name_30 (game VARCHAR, points VARCHAR, record VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1458, 41, 7261, 584, 4280, 28027, 6, 979, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4564, 7, 2755, 145, 3, 4314, 6, 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, 1, 1, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 467, 21680, 953, 834, 4350, 834, 1458, 549, 17444, 427, 979, 3, 2, 3, 4314, 3430, 1368, 3274, 96, 4906, 104, 2938, 104, 927, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Game smaller than 70, and a Record of 43–16–8 is what opponent?
SELECT opponent FROM table_name_39 WHERE game < 70 AND record = "43–16–8"
CREATE TABLE table_name_39 (opponent VARCHAR, game VARCHAR, record VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3288, 41, 32, 102, 9977, 584, 4280, 28027, 6, 467, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4435, 2755, 145, 2861, 6, 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, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 15264, 21680, 953, 834, 4350, 834, 3288, 549, 17444, 427, 467, 3, 2, 2861, 3430, 1368, 3274, 96, 4906, 104, 2938, 104, 927, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Record of 44–18–8 involves which score?
SELECT score FROM table_name_95 WHERE record = "44–18–8"
CREATE TABLE table_name_95 (score VARCHAR, record VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3301, 41, 7, 9022, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 11392, 13, 8537, 104, 2606, 104, 927, 5806, 84, 2604, 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, 2604, 21680, 953, 834, 4350, 834, 3301, 549, 17444, 427, 1368, 3274, 96, 3628, 104, 2606, 104, 927, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which college is Kellen Davis from?
SELECT college FROM table_name_44 WHERE player = "kellen davis"
CREATE TABLE table_name_44 (college VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3628, 41, 3297, 7883, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 1900, 19, 480, 8890, 8688, 45, 58, 1, 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, 1900, 21680, 953, 834, 4350, 834, 3628, 549, 17444, 427, 1959, 3274, 96, 157, 8890, 836, 3466, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which round's position is according to official website?
SELECT round FROM table_name_30 WHERE position = "according to official website"
CREATE TABLE table_name_30 (round VARCHAR, position VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1458, 41, 7775, 584, 4280, 28027, 6, 1102, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 1751, 31, 7, 1102, 19, 1315, 12, 2314, 475, 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, 1751, 21680, 953, 834, 4350, 834, 1458, 549, 17444, 427, 1102, 3274, 96, 11067, 53, 12, 2314, 475, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which position's round was 3 when pick was 70?
SELECT position FROM table_name_29 WHERE round = "3" AND pick = "70"
CREATE TABLE table_name_29 (position VARCHAR, round VARCHAR, pick VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3166, 41, 4718, 584, 4280, 28027, 6, 1751, 584, 4280, 28027, 6, 1432, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 1102, 31, 7, 1751, 47, 220, 116, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1102, 21680, 953, 834, 4350, 834, 3166, 549, 17444, 427, 1751, 3274, 96, 519, 121, 3430, 1432, 3274, 96, 2518, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which pick's round was 5 when Kellen Davis was a player?
SELECT pick FROM table_name_40 WHERE round = "5" AND player = "kellen davis"
CREATE TABLE table_name_40 (pick VARCHAR, round VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2445, 41, 17967, 584, 4280, 28027, 6, 1751, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 1432, 31, 7, 1751, 47, 305, 116, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1432, 21680, 953, 834, 4350, 834, 2445, 549, 17444, 427, 1751, 3274, 96, 17395, 3430, 1959, 3274, 96, 157, 8890, 836, 3466, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which college's pick was 14?
SELECT college FROM table_name_86 WHERE pick = "14"
CREATE TABLE table_name_86 (college VARCHAR, pick VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3840, 41, 3297, 7883, 584, 4280, 28027, 6, 1432, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 1900, 31, 7, 1432, 47, 968, 58, 1, 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, 1900, 21680, 953, 834, 4350, 834, 3840, 549, 17444, 427, 1432, 3274, 96, 2534, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Rec has an Average smaller than 32, and a Touchdown smaller than 3, and an Opponent of oregon state?
SELECT SUM(rec) FROM table_name_95 WHERE average < 32 AND s_touchdown < 3 AND opponent = "oregon state"
CREATE TABLE table_name_95 (rec INTEGER, opponent VARCHAR, average VARCHAR, s_touchdown VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3301, 41, 60, 75, 3, 21342, 17966, 6, 15264, 584, 4280, 28027, 6, 1348, 584, 4280, 28027, 6, 3, 7, 834, 17681, 3035, 584, 4280, 28027, 61, 3, 32105, 32106, 32107...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 60, 75, 61, 21680, 953, 834, 4350, 834, 3301, 549, 17444, 427, 1348, 3, 2, 3538, 3430, 3, 7, 834, 17681, 3035, 3, 2, 220, 3430, 15264, 3274, 96, 127, 15, 5307, 538, 121, 1, -100, -100, -100, -100...
Which rec has Yards of 192, and a Touchdown smaller than 1?
SELECT AVG(rec) FROM table_name_52 WHERE yards = 192 AND s_touchdown < 1
CREATE TABLE table_name_52 (rec INTEGER, yards VARCHAR, s_touchdown VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5373, 41, 60, 75, 3, 21342, 17966, 6, 6460, 584, 4280, 28027, 6, 3, 7, 834, 17681, 3035, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 5026, 65, 160...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 71, 17217, 599, 60, 75, 61, 21680, 953, 834, 4350, 834, 5373, 549, 17444, 427, 6460, 3274, 3, 19978, 3430, 3, 7, 834, 17681, 3035, 3, 2, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which Opponent has Yards smaller than 197, and an Average smaller than 32, and a Year of 1966?
SELECT opponent FROM table_name_95 WHERE yards < 197 AND average < 32 AND year = 1966
CREATE TABLE table_name_95 (opponent VARCHAR, year VARCHAR, yards VARCHAR, average VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3301, 41, 32, 102, 9977, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 6, 6460, 584, 4280, 28027, 6, 1348, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 15264, 21680, 953, 834, 4350, 834, 3301, 549, 17444, 427, 6460, 3, 2, 3, 27181, 3430, 1348, 3, 2, 3538, 3430, 215, 3274, 20658, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many Touchdowns have a rec of 10, and an Opponent of oregon state, and an Average smaller than 19.7?
SELECT COUNT(s_touchdown) FROM table_name_57 WHERE rec = 10 AND opponent = "oregon state" AND average < 19.7
CREATE TABLE table_name_57 (s_touchdown VARCHAR, average VARCHAR, rec VARCHAR, opponent VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3436, 41, 7, 834, 17681, 3035, 584, 4280, 28027, 6, 1348, 584, 4280, 28027, 6, 5026, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 3210...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 7, 834, 17681, 3035, 61, 21680, 953, 834, 4350, 834, 3436, 549, 17444, 427, 5026, 3274, 335, 3430, 15264, 3274, 96, 127, 15, 5307, 538, 121, 3430, 1348, 3, 2, 9997, 940, 1, -100, -100, -100, -100, ...
Which Points have an Opponent of @ atlanta thrashers, and a Game smaller than 28?
SELECT SUM(points) FROM table_name_2 WHERE opponent = "@ atlanta thrashers" AND game < 28
CREATE TABLE table_name_2 (points INTEGER, opponent VARCHAR, game VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 357, 41, 2700, 7, 3, 21342, 17966, 6, 15264, 584, 4280, 28027, 6, 467, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 4564, 7, 43, 46, 4495, 9977, 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, 1, 1, 1, 1, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 2700, 7, 61, 21680, 953, 834, 4350, 834, 357, 549, 17444, 427, 15264, 3274, 96, 1741, 44, 6761, 9, 3, 189, 12380, 277, 121, 3430, 467, 3, 2, 2059, 1, -100, -100, -100, -100, -100, -100, -100, -100,...
How many Points have a Game smaller than 37, and a Score of 2–3, and a December of 13?
SELECT COUNT(points) FROM table_name_98 WHERE game < 37 AND score = "2–3" AND december = 13
CREATE TABLE table_name_98 (points VARCHAR, december VARCHAR, game VARCHAR, score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3916, 41, 2700, 7, 584, 4280, 28027, 6, 20, 75, 18247, 584, 4280, 28027, 6, 467, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 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, 2847, 17161, 599, 2700, 7, 61, 21680, 953, 834, 4350, 834, 3916, 549, 17444, 427, 467, 3, 2, 6862, 3430, 2604, 3274, 96, 357, 104, 519, 121, 3430, 20, 75, 18247, 3274, 1179, 1, -100, -100, -100, -100, -100, -100, ...
Which Game is the highest one that has a Score of 3–2?
SELECT MAX(game) FROM table_name_92 WHERE score = "3–2"
CREATE TABLE table_name_92 (game INTEGER, score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4508, 41, 7261, 3, 21342, 17966, 6, 2604, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 4435, 19, 8, 2030, 80, 24, 65, 3, 9, 17763, 13, 220, 104, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4800, 4, 599, 7261, 61, 21680, 953, 834, 4350, 834, 4508, 549, 17444, 427, 2604, 3274, 96, 519, 104, 357, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What spans were built in 1896?
SELECT spans FROM table_name_73 WHERE built = "1896"
CREATE TABLE table_name_73 (spans VARCHAR, built VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4552, 41, 30684, 584, 4280, 28027, 6, 1192, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 8438, 7, 130, 1192, 16, 507, 4314, 58, 1, 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, 8438, 7, 21680, 953, 834, 4350, 834, 4552, 549, 17444, 427, 1192, 3274, 96, 2606, 4314, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Who has a length of 71 ft?
SELECT name FROM table_name_21 WHERE length__ft_ = 71
CREATE TABLE table_name_21 (name VARCHAR, length__ft_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2658, 41, 4350, 584, 4280, 28027, 6, 2475, 834, 834, 89, 17, 834, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 65, 3, 9, 2475, 13, 3, 4450, 3, 89...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 564, 21680, 953, 834, 4350, 834, 2658, 549, 17444, 427, 2475, 834, 834, 89, 17, 834, 3274, 3, 4450, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Where was the county of rockingham?
SELECT location FROM table_name_98 WHERE county = "rockingham"
CREATE TABLE table_name_98 (location VARCHAR, county VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3916, 41, 14836, 584, 4280, 28027, 6, 5435, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2840, 47, 8, 5435, 13, 2480, 14799, 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, 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, 1128, 21680, 953, 834, 4350, 834, 3916, 549, 17444, 427, 5435, 3274, 96, 6133, 14799, 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 propulsion for the RB 04 earlier than 1962?
SELECT propulsion FROM table_name_79 WHERE year < 1962 AND name = "rb 04"
CREATE TABLE table_name_79 (propulsion VARCHAR, year VARCHAR, name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4440, 41, 1409, 20567, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 6, 564, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 813, 20567, 21, 8, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 813, 20567, 21680, 953, 834, 4350, 834, 4440, 549, 17444, 427, 215, 3, 2, 20236, 3430, 564, 3274, 96, 52, 115, 11484, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the name of the anti-ship missile that had a turbojet propulsion that was launched by a surface, sub after 1985?
SELECT name FROM table_name_96 WHERE propulsion = "turbojet" AND year > 1985 AND launched_by = "surface, sub"
CREATE TABLE table_name_96 (name VARCHAR, launched_by VARCHAR, propulsion VARCHAR, year VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4314, 41, 4350, 584, 4280, 28027, 6, 3759, 834, 969, 584, 4280, 28027, 6, 813, 20567, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 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, 564, 21680, 953, 834, 4350, 834, 4314, 549, 17444, 427, 813, 20567, 3274, 96, 2905, 115, 32, 9245, 121, 3430, 215, 2490, 13200, 3430, 3759, 834, 969, 3274, 96, 26899, 6, 769, 121, 1, -100, -100, -100, -100, -100, -1...
What country had an anti-ship missile that had a solid rocket propulsion?
SELECT country FROM table_name_96 WHERE propulsion = "solid rocket"
CREATE TABLE table_name_96 (country VARCHAR, propulsion VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4314, 41, 17529, 584, 4280, 28027, 6, 813, 20567, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 684, 141, 46, 1181, 18, 2009, 16953, 24, 141, 3, 9, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 684, 21680, 953, 834, 4350, 834, 4314, 549, 17444, 427, 813, 20567, 3274, 96, 20695, 15721, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
How many seats in 2001 with a quantity greater than 4?
SELECT COUNT(number_of_seats) FROM table_name_17 WHERE year = "2001" AND quantity > 4
CREATE TABLE table_name_17 (number_of_seats VARCHAR, year VARCHAR, quantity VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2517, 41, 5525, 1152, 834, 858, 834, 7, 1544, 7, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 6, 8708, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 5525, 1152, 834, 858, 834, 7, 1544, 7, 61, 21680, 953, 834, 4350, 834, 2517, 549, 17444, 427, 215, 3274, 96, 23658, 121, 3430, 8708, 2490, 314, 1, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What make and model of the diesel vehicle with a high floor type, bike capacity less than 3, and a quantity of 4?
SELECT make_and_model FROM table_name_67 WHERE fuel_propulsion = "diesel" AND floor_type = "high" AND bicycle_capacity† < 3 AND quantity = 4
CREATE TABLE table_name_67 (make_and_model VARCHAR, quantity VARCHAR, bicycle_capacity† VARCHAR, fuel_propulsion VARCHAR, floor_type VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3708, 41, 19509, 834, 232, 834, 21770, 584, 4280, 28027, 6, 8708, 584, 4280, 28027, 6, 12679, 834, 4010, 9, 6726, 2, 584, 4280, 28027, 6, 2914, 834, 1409, 20567, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 143, 834, 232, 834, 21770, 21680, 953, 834, 4350, 834, 3708, 549, 17444, 427, 2914, 834, 1409, 20567, 3274, 96, 7719, 15, 40, 121, 3430, 1501, 834, 6137, 3274, 96, 6739, 121, 3430, 12679, 834, 4010, 9, 6726, 2, 3, ...
What score has nashville predators as the opponent?
SELECT score FROM table_name_91 WHERE opponent = "nashville predators"
CREATE TABLE table_name_91 (score VARCHAR, opponent VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4729, 41, 7, 9022, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 2604, 65, 3, 29, 3198, 1420, 23007, 7, 38, 8, 15264, 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, 2604, 21680, 953, 834, 4350, 834, 4729, 549, 17444, 427, 15264, 3274, 96, 29, 3198, 1420, 23007, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What are the average points that have december 27?
SELECT AVG(points) FROM table_name_36 WHERE december = 27
CREATE TABLE table_name_36 (points INTEGER, december VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3420, 41, 2700, 7, 3, 21342, 17966, 6, 20, 75, 18247, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 33, 8, 1348, 979, 24, 43, 20, 75, 18247, 2307, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 71, 17217, 599, 2700, 7, 61, 21680, 953, 834, 4350, 834, 3420, 549, 17444, 427, 20, 75, 18247, 3274, 2307, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What record has points greater than 39, with 38 as the game?
SELECT record FROM table_name_1 WHERE points > 39 AND game = 38
CREATE TABLE table_name_1 (record VARCHAR, points VARCHAR, game VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 536, 41, 60, 7621, 584, 4280, 28027, 6, 979, 584, 4280, 28027, 6, 467, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 1368, 65, 979, 2123, 145, 6352, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 536, 549, 17444, 427, 979, 2490, 6352, 3430, 467, 3274, 6654, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the Stuffit ability that has a gzip of yes, ISO/CD images of no and LHA/LZH of no?
SELECT stuffit FROM table_name_75 WHERE gzip = "yes" AND iso_cd_image = "no" AND lha_lzh = "no"
CREATE TABLE table_name_75 (stuffit VARCHAR, lha_lzh VARCHAR, gzip VARCHAR, iso_cd_image VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3072, 41, 7, 17, 2999, 155, 584, 4280, 28027, 6, 3, 40, 1024, 834, 40, 172, 107, 584, 4280, 28027, 6, 3, 122, 13453, 584, 4280, 28027, 6, 19, 32, 834, 75, 26...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2005, 155, 21680, 953, 834, 4350, 834, 3072, 549, 17444, 427, 3, 122, 13453, 3274, 96, 10070, 121, 3430, 19, 32, 834, 75, 26, 834, 8221, 3274, 96, 29, 32, 121, 3430, 3, 40, 1024, 834, 40, 172, 107, 3274, 96, 29,...
What is the gzip value associated with a stuffit of no, bzip2 of no, and LHA.LZH of no?
SELECT gzip FROM table_name_90 WHERE stuffit = "no" AND bzip2 = "no" AND lha_lzh = "no"
CREATE TABLE table_name_90 (gzip VARCHAR, lha_lzh VARCHAR, stuffit VARCHAR, bzip2 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2394, 41, 122, 13453, 584, 4280, 28027, 6, 3, 40, 1024, 834, 40, 172, 107, 584, 4280, 28027, 6, 2005, 155, 584, 4280, 28027, 6, 3, 115, 13453, 357, 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, 122, 13453, 21680, 953, 834, 4350, 834, 2394, 549, 17444, 427, 2005, 155, 3274, 96, 29, 32, 121, 3430, 3, 115, 13453, 357, 3274, 96, 29, 32, 121, 3430, 3, 40, 1024, 834, 40, 172, 107, 3274, 96, 29, 32, 121, ...
What is the StuffitX value that has a Stuffit of unknown, LHA/LZH of yes, and unknown ISO/CD image?
SELECT stuffit AS X FROM table_name_26 WHERE stuffit = "unknown" AND lha_lzh = "yes" AND iso_cd_image = "unknown"
CREATE TABLE table_name_26 (stuffit VARCHAR, iso_cd_image VARCHAR, lha_lzh VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2688, 41, 7, 17, 2999, 155, 584, 4280, 28027, 6, 19, 32, 834, 75, 26, 834, 8221, 584, 4280, 28027, 6, 3, 40, 1024, 834, 40, 172, 107, 584, 4280, 28027, 61, 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, 2005, 155, 6157, 3, 4, 21680, 953, 834, 4350, 834, 2688, 549, 17444, 427, 2005, 155, 3274, 96, 202, 5661, 121, 3430, 3, 40, 1024, 834, 40, 172, 107, 3274, 96, 10070, 121, 3430, 19, 32, 834, 75, 26, 834, 8221, 32...
What is the stuffit that has bzip and LHA/LZH of no?
SELECT stuffit FROM table_name_99 WHERE bzip2 = "no" AND lha_lzh = "no"
CREATE TABLE table_name_99 (stuffit VARCHAR, bzip2 VARCHAR, lha_lzh VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3264, 41, 7, 17, 2999, 155, 584, 4280, 28027, 6, 3, 115, 13453, 357, 584, 4280, 28027, 6, 3, 40, 1024, 834, 40, 172, 107, 584, 4280, 28027, 61, 3, 32105, 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, 2005, 155, 21680, 953, 834, 4350, 834, 3264, 549, 17444, 427, 3, 115, 13453, 357, 3274, 96, 29, 32, 121, 3430, 3, 40, 1024, 834, 40, 172, 107, 3274, 96, 29, 32, 121, 1, -100, -100, -100, -100, -100, -100, -100, ...
Which round was Robert Deciantis taken in?
SELECT round FROM table_name_43 WHERE player = "robert deciantis"
CREATE TABLE table_name_43 (round VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4906, 41, 7775, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 1751, 47, 2715, 14600, 5965, 7, 1026, 16, 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, 1751, 21680, 953, 834, 4350, 834, 4906, 549, 17444, 427, 1959, 3274, 96, 5840, 49, 17, 7908, 5965, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Which round was Brian Elder taken in?
SELECT MIN(round) FROM table_name_15 WHERE player = "brian elder"
CREATE TABLE table_name_15 (round INTEGER, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1808, 41, 7775, 3, 21342, 17966, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 1751, 47, 7798, 21297, 1026, 16, 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, 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, 3, 17684, 599, 7775, 61, 21680, 953, 834, 4350, 834, 1808, 549, 17444, 427, 1959, 3274, 96, 2160, 152, 17813, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
what is the date of the tournament in michalovce
SELECT date FROM table_name_74 WHERE tournament = "michalovce"
CREATE TABLE table_name_74 (date VARCHAR, tournament VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4581, 41, 5522, 584, 4280, 28027, 6, 5892, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 125, 19, 8, 833, 13, 8, 5892, 16, 2278, 9, 5850, 565, 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, 833, 21680, 953, 834, 4350, 834, 4581, 549, 17444, 427, 5892, 3274, 96, 51, 362, 9, 5850, 565, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the winning score of the Valero Texas Open?
SELECT winning_score FROM table_name_99 WHERE tournament = "valero texas open"
CREATE TABLE table_name_99 (winning_score VARCHAR, tournament VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3264, 41, 8163, 834, 7, 9022, 584, 4280, 28027, 6, 5892, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 3447, 2604, 13, 8, 3833, 49, 32, 2514, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3447, 834, 7, 9022, 21680, 953, 834, 4350, 834, 3264, 549, 17444, 427, 5892, 3274, 96, 2165, 49, 32, 3, 10354, 9, 7, 539, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
When was the winning score –12 (69-66-72-65=272)?
SELECT date FROM table_name_72 WHERE winning_score = –12(69 - 66 - 72 - 65 = 272)
CREATE TABLE table_name_72 (date VARCHAR, winning_score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5865, 41, 5522, 584, 4280, 28027, 6, 3447, 834, 7, 9022, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 366, 47, 8, 3447, 2604, 3, 104, 2122, 41, 3951, 578...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 833, 21680, 953, 834, 4350, 834, 5865, 549, 17444, 427, 3447, 834, 7, 9022, 3274, 3, 104, 2122, 599, 3951, 3, 18, 3, 3539, 3, 18, 9455, 3, 18, 7123, 3274, 2307, 7318, 1, -100, -100, -100, -100, -100, -100, -100, ...
Who was the runner-up when the winning score was –28 (66-67-68-64-67=332)?
SELECT runner_s__up FROM table_name_81 WHERE winning_score = –28(66 - 67 - 68 - 64 - 67 = 332)
CREATE TABLE table_name_81 (runner_s__up VARCHAR, winning_score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4959, 41, 10806, 834, 7, 834, 834, 413, 584, 4280, 28027, 6, 3447, 834, 7, 9022, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 3, 10806, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 10806, 834, 7, 834, 834, 413, 21680, 953, 834, 4350, 834, 4959, 549, 17444, 427, 3447, 834, 7, 9022, 3274, 3, 104, 2577, 599, 3539, 3, 18, 3, 3708, 3, 18, 3, 3651, 3, 18, 6687, 3, 18, 3, 3708, 3274, 5400, ...
Which party had a Retired Democratic hold?
SELECT party FROM table_name_97 WHERE result = "retired democratic hold"
CREATE TABLE table_name_97 (party VARCHAR, result VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4327, 41, 8071, 584, 4280, 28027, 6, 741, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 1088, 141, 3, 9, 419, 11809, 26, 10021, 1520, 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, 1088, 21680, 953, 834, 4350, 834, 4327, 549, 17444, 427, 741, 3274, 96, 10682, 1271, 15053, 1520, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What's the average year Charles N. Felton was re-elected?
SELECT AVG(first_elected) FROM table_name_92 WHERE result = "re-elected" AND incumbent = "charles n. felton"
CREATE TABLE table_name_92 (first_elected INTEGER, result VARCHAR, incumbent VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4508, 41, 14672, 834, 19971, 3, 21342, 17966, 6, 741, 584, 4280, 28027, 6, 28406, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 31, 7, 8, 1348, 215, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 71, 17217, 599, 14672, 834, 19971, 61, 21680, 953, 834, 4350, 834, 4508, 549, 17444, 427, 741, 3274, 96, 60, 18, 19971, 121, 3430, 28406, 3274, 96, 4059, 965, 3, 29, 5, 1800, 106, 121, 1, -100, -100, -100, -100, -...
What year was Barclay Henley first elected?
SELECT COUNT(first_elected) FROM table_name_77 WHERE incumbent = "barclay henley"
CREATE TABLE table_name_77 (first_elected VARCHAR, incumbent VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4013, 41, 14672, 834, 19971, 584, 4280, 28027, 6, 28406, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 215, 47, 1386, 4651, 63, 216, 29, 1306, 166, 816...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2847, 17161, 599, 14672, 834, 19971, 61, 21680, 953, 834, 4350, 834, 4013, 549, 17444, 427, 28406, 3274, 96, 1047, 4651, 63, 3, 3225, 1306, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
what is the sponsor of motorola
SELECT team FROM table_name_12 WHERE sponsor = "motorola"
CREATE TABLE table_name_12 (team VARCHAR, sponsor VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2122, 41, 11650, 584, 4280, 28027, 6, 9037, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 125, 19, 8, 9037, 13, 2340, 32, 521, 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, 372, 21680, 953, 834, 4350, 834, 2122, 549, 17444, 427, 9037, 3274, 96, 11188, 3491, 9, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which Opponent has the Event of Sengoku 1?
SELECT opponent FROM table_name_94 WHERE event = "sengoku 1"
CREATE TABLE table_name_94 (opponent VARCHAR, event VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4240, 41, 32, 102, 9977, 584, 4280, 28027, 6, 605, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 4495, 9977, 65, 8, 8042, 13, 4892, 839, 2729, 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, 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, 4240, 549, 17444, 427, 605, 3274, 96, 7, 4606, 18512, 209, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What Record has an Event of Pride Shockwave 2004?
SELECT record FROM table_name_22 WHERE event = "pride shockwave 2004"
CREATE TABLE table_name_22 (record VARCHAR, event VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2884, 41, 60, 7621, 584, 4280, 28027, 6, 605, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 11392, 65, 46, 8042, 13, 24252, 180, 19076, 12301, 4406, 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, 1368, 21680, 953, 834, 4350, 834, 2884, 549, 17444, 427, 605, 3274, 96, 2246, 221, 8700, 12301, 4406, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What's the average pole position for the driver that has a percentage of 44.81%?
SELECT AVG(pole_positions) FROM table_name_33 WHERE percentage = "44.81%"
CREATE TABLE table_name_33 (pole_positions INTEGER, percentage VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4201, 41, 14332, 834, 4718, 7, 3, 21342, 17966, 6, 5294, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 31, 7, 8, 1348, 11148, 1102, 21, 8, 2535, 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, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 14332, 834, 4718, 7, 61, 21680, 953, 834, 4350, 834, 4201, 549, 17444, 427, 5294, 3274, 96, 591, 27441, 4704, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What's the average front row starts for drivers with less than 68 pole positions and entries lower than 52?
SELECT AVG(front_row_starts) FROM table_name_85 WHERE pole_positions < 68 AND entries < 52
CREATE TABLE table_name_85 (front_row_starts INTEGER, pole_positions VARCHAR, entries VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4433, 41, 6849, 834, 3623, 834, 10208, 7, 3, 21342, 17966, 6, 11148, 834, 4718, 7, 584, 4280, 28027, 6, 10066, 584, 4280, 28027, 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, 6849, 834, 3623, 834, 10208, 7, 61, 21680, 953, 834, 4350, 834, 4433, 549, 17444, 427, 11148, 834, 4718, 7, 3, 2, 3, 3651, 3430, 10066, 3, 2, 9065, 1, -100, -100, -100, -100, -100, -100, -100, -100...
Attendance of 60,671 had what average week?
SELECT AVG(week) FROM table_name_9 WHERE attendance = 60 OFFSET 671
CREATE TABLE table_name_9 (week INTEGER, attendance VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1298, 41, 8041, 3, 21342, 17966, 6, 11364, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 22497, 663, 13, 1640, 6, 3708, 536, 141, 125, 1348, 471, 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, 71, 17217, 599, 8041, 61, 21680, 953, 834, 4350, 834, 1298, 549, 17444, 427, 11364, 3274, 1640, 3, 15316, 20788, 431, 4450, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Week of 7 had what average attendance?
SELECT AVG(attendance) FROM table_name_57 WHERE week = 7
CREATE TABLE table_name_57 (attendance INTEGER, week VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3436, 41, 15116, 663, 3, 21342, 17966, 6, 471, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 6551, 13, 489, 141, 125, 1348, 11364, 58, 1, 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, 71, 17217, 599, 15116, 663, 61, 21680, 953, 834, 4350, 834, 3436, 549, 17444, 427, 471, 3274, 489, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
How many legs were lost for Trina Gulliver with more than 3 played?
SELECT COUNT(legs_lost) FROM table_name_11 WHERE player = "trina gulliver" AND played > 3
CREATE TABLE table_name_11 (legs_lost VARCHAR, player VARCHAR, played VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2596, 41, 5772, 7, 834, 2298, 17, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 6, 1944, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 6217, 130, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2847, 17161, 599, 5772, 7, 834, 2298, 17, 61, 21680, 953, 834, 4350, 834, 2596, 549, 17444, 427, 1959, 3274, 96, 1788, 29, 9, 3, 6106, 7591, 52, 121, 3430, 1944, 2490, 220, 1, -100, -100, -100, -100, -100, -100, -...
What is the most sets won with less than 1 legs won?
SELECT MAX(sets_won) FROM table_name_25 WHERE legs_won < 1
CREATE TABLE table_name_25 (sets_won INTEGER, legs_won INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1828, 41, 2244, 7, 834, 210, 106, 3, 21342, 17966, 6, 6217, 834, 210, 106, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 167, 3369, 751, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 2244, 7, 834, 210, 106, 61, 21680, 953, 834, 4350, 834, 1828, 549, 17444, 427, 6217, 834, 210, 106, 3, 2, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Yards of 45, and a Date of november 8, 1971 is what kicker?
SELECT kicker FROM table_name_92 WHERE yards = 45 AND date = "november 8, 1971"
CREATE TABLE table_name_92 (kicker VARCHAR, yards VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4508, 41, 2168, 3383, 584, 4280, 28027, 6, 6460, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 16093, 7, 13, 3479, 6, 11, 3, 9, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4583, 49, 21680, 953, 834, 4350, 834, 4508, 549, 17444, 427, 6460, 3274, 3479, 3430, 833, 3274, 96, 5326, 18247, 9478, 17961, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Game time of 2nd quarter (0:00), and a Date of november 8, 1971 has how many average yards?
SELECT AVG(yards) FROM table_name_2 WHERE game_time = "2nd quarter (0:00)" AND date = "november 8, 1971"
CREATE TABLE table_name_2 (yards INTEGER, game_time VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 357, 41, 6636, 7, 3, 21342, 17966, 6, 467, 834, 715, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4435, 97, 13, 204, 727, 2893,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 71, 17217, 599, 6636, 7, 61, 21680, 953, 834, 4350, 834, 357, 549, 17444, 427, 467, 834, 715, 3274, 96, 357, 727, 2893, 41, 25713, 61, 121, 3430, 833, 3274, 96, 5326, 18247, 9478, 17961, 121, 1, -100, -100, -100, ...
Opponent of new york giants, and a Yards smaller than 68 is what kicker?
SELECT kicker FROM table_name_36 WHERE opponent = "new york giants" AND yards < 68
CREATE TABLE table_name_36 (kicker VARCHAR, opponent VARCHAR, yards VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3420, 41, 2168, 3383, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 6, 6460, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4495, 9977, 13, 126, 25453, 6079, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4583, 49, 21680, 953, 834, 4350, 834, 3420, 549, 17444, 427, 15264, 3274, 96, 5534, 25453, 6079, 7, 121, 3430, 6460, 3, 2, 3, 3651, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Yards larger than 52, and a Opponent of san francisco 49ers is what kicker?
SELECT kicker FROM table_name_5 WHERE yards > 52 AND opponent = "san francisco 49ers"
CREATE TABLE table_name_5 (kicker VARCHAR, yards VARCHAR, opponent VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 755, 41, 2168, 3383, 584, 4280, 28027, 6, 6460, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 16093, 7, 2186, 145, 9065, 6, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0...
[ 3, 23143, 14196, 4583, 49, 21680, 953, 834, 4350, 834, 755, 549, 17444, 427, 6460, 2490, 9065, 3430, 15264, 3274, 96, 7, 152, 2515, 11389, 3523, 9526, 277, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Result of missed*, and a Game time of 2nd quarter (0:00), and a Kicker of mason crosby involves what date?
SELECT date FROM table_name_3 WHERE result = "missed*" AND game_time = "2nd quarter (0:00)" AND kicker = "mason crosby"
CREATE TABLE table_name_3 (date VARCHAR, kicker VARCHAR, result VARCHAR, game_time VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 519, 41, 5522, 584, 4280, 28027, 6, 4583, 49, 584, 4280, 28027, 6, 741, 584, 4280, 28027, 6, 467, 834, 715, 584, 4280, 28027, 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, 833, 21680, 953, 834, 4350, 834, 519, 549, 17444, 427, 741, 3274, 96, 11502, 15, 26, 1935, 121, 3430, 467, 834, 715, 3274, 96, 357, 727, 2893, 41, 25713, 61, 121, 3430, 4583, 49, 3274, 96, 2754, 106, 3, 2771, 7, ...
Opponent of houston texans had what result?
SELECT result FROM table_name_2 WHERE opponent = "houston texans"
CREATE TABLE table_name_2 (result VARCHAR, opponent VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 357, 41, 60, 7, 83, 17, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4495, 9977, 13, 3, 9492, 4411, 3, 10354, 3247, 141, 125,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 741, 21680, 953, 834, 4350, 834, 357, 549, 17444, 427, 15264, 3274, 96, 9492, 4411, 3, 10354, 3247, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which Nationality of the person has a Position on left wing?
SELECT nationality FROM table_name_30 WHERE position = "left wing"
CREATE TABLE table_name_30 (nationality VARCHAR, position VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1458, 41, 16557, 485, 584, 4280, 28027, 6, 1102, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 868, 485, 13, 8, 568, 65, 3, 9, 14258, 30, 646, 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, 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, 1458, 549, 17444, 427, 1102, 3274, 96, 17068, 3, 3108, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which College/Junior/Club Team (League) are from sweden?
SELECT college_junior_club_team__league_ FROM table_name_92 WHERE nationality = "sweden"
CREATE TABLE table_name_92 (college_junior_club_team__league_ VARCHAR, nationality 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, 1157, 485, 584, 4280, 28027, 61, 3, 32105, 32106, 3210...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1900, 834, 6959, 23, 127, 834, 13442, 834, 11650, 834, 834, 29512, 834, 21680, 953, 834, 4350, 834, 4508, 549, 17444, 427, 1157, 485, 3274, 96, 7, 1123, 537, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -...
WHich Position is from russia?
SELECT position FROM table_name_39 WHERE nationality = "russia"
CREATE TABLE table_name_39 (position VARCHAR, nationality VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3288, 41, 4718, 584, 4280, 28027, 6, 1157, 485, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 3, 15313, 362, 14258, 19, 45, 3, 26165, 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, 1102, 21680, 953, 834, 4350, 834, 3288, 549, 17444, 427, 1157, 485, 3274, 96, 26165, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which venue is with Ukraine?
SELECT venue FROM table_name_12 WHERE nationality = "ukraine"
CREATE TABLE table_name_12 (venue VARCHAR, nationality VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2122, 41, 15098, 584, 4280, 28027, 6, 1157, 485, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 5669, 19, 28, 11897, 58, 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, 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, 5669, 21680, 953, 834, 4350, 834, 2122, 549, 17444, 427, 1157, 485, 3274, 96, 1598, 6559, 15, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which venue had a nationality of Belgium?
SELECT venue FROM table_name_44 WHERE nationality = "belgium"
CREATE TABLE table_name_44 (venue VARCHAR, nationality VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3628, 41, 15098, 584, 4280, 28027, 6, 1157, 485, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 5669, 141, 3, 9, 1157, 485, 13, 15575, 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, 5669, 21680, 953, 834, 4350, 834, 3628, 549, 17444, 427, 1157, 485, 3274, 96, 2370, 122, 2552, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Best Actor has a Best Film of mystery?
SELECT best_actor FROM table_name_93 WHERE best_film = "mystery"
CREATE TABLE table_name_93 (best_actor VARCHAR, best_film VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4271, 41, 9606, 834, 9, 5317, 584, 4280, 28027, 6, 200, 834, 9988, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 1648, 1983, 127, 65, 3, 9, 1648, 34...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 200, 834, 9, 5317, 21680, 953, 834, 4350, 834, 4271, 549, 17444, 427, 200, 834, 9988, 3274, 96, 2258, 1370, 63, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Year has a Best Film of mystery?
SELECT year FROM table_name_80 WHERE best_film = "mystery"
CREATE TABLE table_name_80 (year VARCHAR, best_film VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2079, 41, 1201, 584, 4280, 28027, 6, 200, 834, 9988, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 2929, 65, 3, 9, 1648, 3417, 13, 11100, 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, 215, 21680, 953, 834, 4350, 834, 2079, 549, 17444, 427, 200, 834, 9988, 3274, 96, 2258, 1370, 63, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Which Best Actress has a Year of 2012 6th?
SELECT best_actress FROM table_name_12 WHERE year = "2012 6th"
CREATE TABLE table_name_12 (best_actress VARCHAR, year VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2122, 41, 9606, 834, 2708, 9377, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 1648, 1983, 9377, 65, 3, 9, 2929, 13, 1673, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 200, 834, 2708, 9377, 21680, 953, 834, 4350, 834, 2122, 549, 17444, 427, 215, 3274, 96, 12172, 431, 189, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which Best Actor has a Best Director of takeshi kitano for outrage beyond?
SELECT best_actor FROM table_name_44 WHERE best_director = "takeshi kitano for outrage beyond"
CREATE TABLE table_name_44 (best_actor VARCHAR, best_director VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3628, 41, 9606, 834, 9, 5317, 584, 4280, 28027, 6, 200, 834, 25982, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 1648, 1983, 127, 65, 3, 9, 1648, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 200, 834, 9, 5317, 21680, 953, 834, 4350, 834, 3628, 549, 17444, 427, 200, 834, 25982, 3274, 96, 4914, 5605, 3650, 152, 32, 21, 91, 4843, 1909, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Which Best Film has a Best Supporting Actress of shamaine buencamino for niño?
SELECT best_film FROM table_name_42 WHERE best_supporting_actress = "shamaine buencamino for niño"
CREATE TABLE table_name_42 (best_film VARCHAR, best_supporting_actress VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4165, 41, 9606, 834, 9988, 584, 4280, 28027, 6, 200, 834, 20390, 53, 834, 2708, 9377, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 1648, 3417, 65, 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, 200, 834, 9988, 21680, 953, 834, 4350, 834, 4165, 549, 17444, 427, 200, 834, 20390, 53, 834, 2708, 9377, 3274, 96, 7, 1483, 7043, 8524, 35, 6527, 77, 32, 21, 3, 29, 23, 2, 32, 121, 1, -100, -100, -100, -100, -10...
Score of 0–0, and a Date of 02-jan-64 had what result?
SELECT result FROM table_name_11 WHERE score = "0–0" AND date = "02-jan-64"
CREATE TABLE table_name_11 (result VARCHAR, score VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2596, 41, 60, 7, 83, 17, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 17763, 13, 3, 632, 104, 632, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 741, 21680, 953, 834, 4350, 834, 2596, 549, 17444, 427, 2604, 3274, 96, 632, 104, 632, 121, 3430, 833, 3274, 96, 4305, 18, 7066, 18, 4389, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Result of l, and a Competition of 1966 asian games, and a Score of 0–1 had what date?
SELECT date FROM table_name_44 WHERE result = "l" AND competition = "1966 asian games" AND score = "0–1"
CREATE TABLE table_name_44 (date VARCHAR, score VARCHAR, result VARCHAR, competition VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3628, 41, 5522, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 6, 741, 584, 4280, 28027, 6, 2259, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 3, 20119, 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, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 833, 21680, 953, 834, 4350, 834, 3628, 549, 17444, 427, 741, 3274, 96, 40, 121, 3430, 2259, 3274, 96, 2294, 3539, 3, 9, 10488, 1031, 121, 3430, 2604, 3274, 96, 632, 104, 536, 121, 1, -100, -100, -100, -100, -100, ...