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
Who is the manager for FMC Corporation pension fund?
SELECT manager FROM table_name_3 WHERE fund = "fmc corporation pension fund"
CREATE TABLE table_name_3 (manager VARCHAR, fund VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 519, 41, 24185, 584, 4280, 28027, 6, 3069, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 19, 8, 2743, 21, 377, 3698, 6708, 8645, 3069, 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, 2743, 21680, 953, 834, 4350, 834, 519, 549, 17444, 427, 3069, 3274, 96, 89, 51, 75, 11861, 8645, 3069, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What was the position of Frank Tripp?
SELECT position FROM table_name_28 WHERE character = "frank tripp"
CREATE TABLE table_name_28 (position VARCHAR, character VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2577, 41, 4718, 584, 4280, 28027, 6, 1848, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 1102, 13, 4937, 16993, 102, 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, 1102, 21680, 953, 834, 4350, 834, 2577, 549, 17444, 427, 1848, 3274, 96, 89, 6254, 1469, 102, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What was the final episode credited of 187?
SELECT final_episode FROM table_name_72 WHERE episodes_credited = 187
CREATE TABLE table_name_72 (final_episode VARCHAR, episodes_credited VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5865, 41, 12406, 834, 15, 102, 159, 32, 221, 584, 4280, 28027, 6, 13562, 834, 16473, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 804, 5640, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 804, 834, 15, 102, 159, 32, 221, 21680, 953, 834, 4350, 834, 5865, 549, 17444, 427, 13562, 834, 16473, 3274, 3, 25828, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Which class at 55 built?
SELECT class FROM table_name_66 WHERE no_built = 55
CREATE TABLE table_name_66 (class VARCHAR, no_built VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3539, 41, 4057, 584, 4280, 28027, 6, 150, 834, 16152, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 853, 44, 6897, 1192, 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, 853, 21680, 953, 834, 4350, 834, 3539, 549, 17444, 427, 150, 834, 16152, 3274, 6897, 1, -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 Loco Nos of the e3 class?
SELECT loco_nos FROM table_name_80 WHERE class = "e3"
CREATE TABLE table_name_80 (loco_nos VARCHAR, class VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2079, 41, 5133, 32, 834, 4844, 584, 4280, 28027, 6, 853, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1815, 509, 465, 7, 13, 8, 3, 15, 519,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2072, 32, 834, 4844, 21680, 953, 834, 4350, 834, 2079, 549, 17444, 427, 853, 3274, 96, 15, 519, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
How many people attended Junction Oval?
SELECT SUM(crowd) FROM table_name_17 WHERE venue = "junction oval"
CREATE TABLE table_name_17 (crowd INTEGER, venue VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2517, 41, 75, 3623, 26, 3, 21342, 17966, 6, 5669, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 151, 5526, 29092, 411, 2165, 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, 180, 6122, 599, 75, 3623, 26, 61, 21680, 953, 834, 4350, 834, 2517, 549, 17444, 427, 5669, 3274, 96, 6959, 4985, 17986, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What was the score of the team that played against Fitzroy?
SELECT home_team AS score FROM table_name_97 WHERE away_team = "fitzroy"
CREATE TABLE table_name_97 (home_team VARCHAR, away_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4327, 41, 5515, 834, 11650, 584, 4280, 28027, 6, 550, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 2604, 13, 8, 372, 24, 1944, 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, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 234, 834, 11650, 6157, 2604, 21680, 953, 834, 4350, 834, 4327, 549, 17444, 427, 550, 834, 11650, 3274, 96, 89, 5615, 8170, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the name of the stadium for the city of melfi?
SELECT stadium FROM table_name_7 WHERE city = "melfi"
CREATE TABLE table_name_7 (stadium VARCHAR, city VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 940, 41, 2427, 12925, 584, 4280, 28027, 6, 690, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 564, 13, 8, 14939, 21, 8, 690, 13, 3, 2341, 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, 14939, 21680, 953, 834, 4350, 834, 940, 549, 17444, 427, 690, 3274, 96, 2341, 89, 23, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the total capacity for the stadium of pasquale ianniello?
SELECT SUM(capacity) FROM table_name_96 WHERE stadium = "pasquale ianniello"
CREATE TABLE table_name_96 (capacity INTEGER, stadium VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4314, 41, 4010, 9, 6726, 3, 21342, 17966, 6, 14939, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 792, 2614, 21, 8, 14939, 13, 330, 11433, 15,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 180, 6122, 599, 4010, 9, 6726, 61, 21680, 953, 834, 4350, 834, 4314, 549, 17444, 427, 14939, 3274, 96, 8020, 11433, 15, 3, 23, 14431, 7126, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What city is Jaffna Airport in?
SELECT city FROM table_name_25 WHERE airport = "jaffna airport"
CREATE TABLE table_name_25 (city VARCHAR, airport VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1828, 41, 6726, 584, 4280, 28027, 6, 3761, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 690, 19, 446, 4127, 29, 9, 5735, 16, 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, 690, 21680, 953, 834, 4350, 834, 1828, 549, 17444, 427, 3761, 3274, 96, 354, 4127, 29, 9, 3761, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Which city has an ICAO of TBA?
SELECT city FROM table_name_84 WHERE icao = "tba"
CREATE TABLE table_name_84 (city VARCHAR, icao VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4608, 41, 6726, 584, 4280, 28027, 6, 3, 2617, 32, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 690, 65, 46, 3, 15038, 667, 13, 332, 4882, 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, 690, 21680, 953, 834, 4350, 834, 4608, 549, 17444, 427, 3, 2617, 32, 3274, 96, 17, 115, 9, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which player went to the College of Wyoming?
SELECT player FROM table_name_99 WHERE college = "wyoming"
CREATE TABLE table_name_99 (player VARCHAR, college VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3264, 41, 20846, 584, 4280, 28027, 6, 1900, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 1959, 877, 12, 8, 1888, 13, 23238, 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, 1959, 21680, 953, 834, 4350, 834, 3264, 549, 17444, 427, 1900, 3274, 96, 210, 63, 32, 51, 53, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the smallest crowd at a game when Richmond was the away team?
SELECT MIN(crowd) FROM table_name_6 WHERE away_team = "richmond"
CREATE TABLE table_name_6 (crowd INTEGER, away_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 948, 41, 75, 3623, 26, 3, 21342, 17966, 6, 550, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 3, 17924, 4374, 44, 3, 9, 467, 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, 3, 17684, 599, 75, 3623, 26, 61, 21680, 953, 834, 4350, 834, 948, 549, 17444, 427, 550, 834, 11650, 3274, 96, 3723, 6764, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Who was the home team at the game that had a crowd of over 24,520?
SELECT home_team FROM table_name_80 WHERE crowd > 24 OFFSET 520
CREATE TABLE table_name_80 (home_team VARCHAR, crowd INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2079, 41, 5515, 834, 11650, 584, 4280, 28027, 6, 4374, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 234, 372, 44, 8, 467, 24, 141, 3, 9, 43...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 234, 834, 11650, 21680, 953, 834, 4350, 834, 2079, 549, 17444, 427, 4374, 2490, 997, 3, 15316, 20788, 3, 25356, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the total number of since for belletti
SELECT COUNT(since) FROM table_name_24 WHERE name = "belletti"
CREATE TABLE table_name_24 (since VARCHAR, name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2266, 41, 27296, 584, 4280, 28027, 6, 564, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 792, 381, 13, 437, 21, 12815, 10652, 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, 27296, 61, 21680, 953, 834, 4350, 834, 2266, 549, 17444, 427, 564, 3274, 96, 7708, 10652, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the highest goals for youth system and ita
SELECT MAX(goals) FROM table_name_7 WHERE nat = "ita" AND transfer_fee = "youth system"
CREATE TABLE table_name_7 (goals INTEGER, nat VARCHAR, transfer_fee VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 940, 41, 839, 5405, 3, 21342, 17966, 6, 3, 29, 144, 584, 4280, 28027, 6, 2025, 834, 89, 15, 15, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 839, 5405, 61, 21680, 953, 834, 4350, 834, 940, 549, 17444, 427, 3, 29, 144, 3274, 96, 155, 9, 121, 3430, 2025, 834, 89, 15, 15, 3274, 96, 4188, 189, 358, 121, 1, -100, -100, -100, -100, -100, -100...
What is the time/retired for eddie irvine with a grid of greater than 3?
SELECT time_retired FROM table_name_84 WHERE grid > 3 AND driver = "eddie irvine"
CREATE TABLE table_name_84 (time_retired VARCHAR, grid VARCHAR, driver VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4608, 41, 715, 834, 10682, 1271, 584, 4280, 28027, 6, 8634, 584, 4280, 28027, 6, 2535, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 97, 87, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 97, 834, 10682, 1271, 21680, 953, 834, 4350, 834, 4608, 549, 17444, 427, 8634, 2490, 220, 3430, 2535, 3274, 96, 15, 26, 2498, 3, 23, 52, 8402, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
How many laps had a grid of greater than 17 and retired due to collision?
SELECT SUM(laps) FROM table_name_99 WHERE grid > 17 AND time_retired = "collision"
CREATE TABLE table_name_99 (laps INTEGER, grid VARCHAR, time_retired VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3264, 41, 8478, 7, 3, 21342, 17966, 6, 8634, 584, 4280, 28027, 6, 97, 834, 10682, 1271, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 14941, 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, 1, 1, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 8478, 7, 61, 21680, 953, 834, 4350, 834, 3264, 549, 17444, 427, 8634, 2490, 1003, 3430, 97, 834, 10682, 1271, 3274, 96, 75, 20953, 1938, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many silvers for south korea with under 1 gold medal?
SELECT MAX(silver) FROM table_name_15 WHERE nation = "south korea" AND gold < 1
CREATE TABLE table_name_15 (silver INTEGER, nation VARCHAR, gold VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1808, 41, 7, 173, 624, 3, 21342, 17966, 6, 2982, 584, 4280, 28027, 6, 2045, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 4294, 7, 21, 3414, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 7, 173, 624, 61, 21680, 953, 834, 4350, 834, 1808, 549, 17444, 427, 2982, 3274, 96, 7, 670, 107, 3, 5543, 15, 9, 121, 3430, 2045, 3, 2, 209, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
How many golds for uganda with under 3 total medals?
SELECT MAX(gold) FROM table_name_25 WHERE nation = "uganda" AND total < 3
CREATE TABLE table_name_25 (gold INTEGER, nation VARCHAR, total VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1828, 41, 14910, 3, 21342, 17966, 6, 2982, 584, 4280, 28027, 6, 792, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 2045, 7, 21, 3, 12204, 727, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 14910, 61, 21680, 953, 834, 4350, 834, 1828, 549, 17444, 427, 2982, 3274, 96, 12204, 727, 9, 121, 3430, 792, 3, 2, 220, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many bronzes for nations ranked above 7, under 3 golds, and under 10 total medals?
SELECT COUNT(bronze) FROM table_name_78 WHERE rank < 7 AND gold < 3 AND total < 10
CREATE TABLE table_name_78 (bronze VARCHAR, total VARCHAR, rank VARCHAR, gold VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3940, 41, 13711, 776, 584, 4280, 28027, 6, 792, 584, 4280, 28027, 6, 11003, 584, 4280, 28027, 6, 2045, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 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, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 13711, 776, 61, 21680, 953, 834, 4350, 834, 3940, 549, 17444, 427, 11003, 3, 2, 489, 3430, 2045, 3, 2, 220, 3430, 792, 3, 2, 335, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which week has a result showing L 24-10?
SELECT week FROM table_name_82 WHERE result = "l 24-10"
CREATE TABLE table_name_82 (week VARCHAR, result VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4613, 41, 8041, 584, 4280, 28027, 6, 741, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 471, 65, 3, 9, 741, 2924, 301, 997, 4536, 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, 471, 21680, 953, 834, 4350, 834, 4613, 549, 17444, 427, 741, 3274, 96, 40, 997, 4536, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Which week has a Kickoff time of 1:00 with a record of 4-5-1?
SELECT week FROM table_name_85 WHERE kickoff_[a_] = "1:00" AND record = "4-5-1"
CREATE TABLE table_name_85 (week VARCHAR, record VARCHAR, kickoff_ VARCHAR, a_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4433, 41, 8041, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 6, 4583, 1647, 834, 584, 4280, 28027, 6, 3, 9, 834, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 471, 21680, 953, 834, 4350, 834, 4433, 549, 17444, 427, 4583, 1647, 834, 6306, 9, 834, 908, 3274, 96, 24294, 121, 3430, 1368, 3274, 96, 18822, 2292, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which week has a record of 5-7-1?
SELECT week FROM table_name_58 WHERE record = "5-7-1"
CREATE TABLE table_name_58 (week VARCHAR, record VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3449, 41, 8041, 584, 4280, 28027, 6, 1368, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 471, 65, 3, 9, 1368, 13, 3, 23440, 2292, 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, 471, 21680, 953, 834, 4350, 834, 3449, 549, 17444, 427, 1368, 3274, 96, 23440, 2292, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who is the opponent on the game that will be played at metropolitan stadium?
SELECT opponent FROM table_name_79 WHERE game_site = "metropolitan stadium"
CREATE TABLE table_name_79 (opponent VARCHAR, game_site VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4440, 41, 32, 102, 9977, 584, 4280, 28027, 6, 467, 834, 3585, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 19, 8, 15264, 30, 8, 467, 24, 56, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 15264, 21680, 953, 834, 4350, 834, 4440, 549, 17444, 427, 467, 834, 3585, 3274, 96, 51, 15252, 21631, 29, 14939, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What did the away team score at Kardinia Park?
SELECT away_team AS score FROM table_name_85 WHERE venue = "kardinia park"
CREATE TABLE table_name_85 (away_team VARCHAR, venue VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4433, 41, 8006, 834, 11650, 584, 4280, 28027, 6, 5669, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 410, 8, 550, 372, 2604, 44, 4556, 2644, 23, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 550, 834, 11650, 6157, 2604, 21680, 953, 834, 4350, 834, 4433, 549, 17444, 427, 5669, 3274, 96, 4031, 2644, 23, 9, 2447, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What was the away team's score in Junction Oval?
SELECT away_team AS score FROM table_name_38 WHERE venue = "junction oval"
CREATE TABLE table_name_38 (away_team VARCHAR, venue VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3747, 41, 8006, 834, 11650, 584, 4280, 28027, 6, 5669, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 550, 372, 31, 7, 2604, 16, 29092, 411, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 550, 834, 11650, 6157, 2604, 21680, 953, 834, 4350, 834, 3747, 549, 17444, 427, 5669, 3274, 96, 6959, 4985, 17986, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What did the away team score at Moorabbin Oval?
SELECT away_team AS score FROM table_name_24 WHERE venue = "moorabbin oval"
CREATE TABLE table_name_24 (away_team VARCHAR, venue VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2266, 41, 8006, 834, 11650, 584, 4280, 28027, 6, 5669, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 410, 8, 550, 372, 2604, 44, 1290, 127, 12982, 77, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 550, 834, 11650, 6157, 2604, 21680, 953, 834, 4350, 834, 2266, 549, 17444, 427, 5669, 3274, 96, 21477, 12982, 77, 17986, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who constructed the car that has a Time/Retired of engine, and over 50 laps?
SELECT constructor FROM table_name_56 WHERE time_retired = "engine" AND laps > 50
CREATE TABLE table_name_56 (constructor VARCHAR, time_retired VARCHAR, laps VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4834, 41, 15982, 5317, 584, 4280, 28027, 6, 97, 834, 10682, 1271, 584, 4280, 28027, 6, 14941, 7, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 8520, 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, 1, 1, 1, 0, 0...
[ 3, 23143, 14196, 6774, 127, 21680, 953, 834, 4350, 834, 4834, 549, 17444, 427, 97, 834, 10682, 1271, 3274, 96, 20165, 121, 3430, 14941, 7, 2490, 943, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the time/retired for ronnie peterson with under 75 laps and a grid under 15?
SELECT time_retired FROM table_name_30 WHERE laps < 75 AND grid < 15 AND driver = "ronnie peterson"
CREATE TABLE table_name_30 (time_retired VARCHAR, driver VARCHAR, laps VARCHAR, grid VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1458, 41, 715, 834, 10682, 1271, 584, 4280, 28027, 6, 2535, 584, 4280, 28027, 6, 14941, 7, 584, 4280, 28027, 6, 8634, 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, 97, 834, 10682, 1271, 21680, 953, 834, 4350, 834, 1458, 549, 17444, 427, 14941, 7, 3, 2, 6374, 3430, 8634, 3, 2, 627, 3430, 2535, 3274, 96, 52, 32, 11113, 3947, 13515, 121, 1, -100, -100, -100, -100, -100, -100, -...
What is the location of the tournament with more than 6 OWGR points and Ryu Hyun-Woo as the winner?
SELECT location FROM table_name_74 WHERE owgr_points > 6 AND winner = "ryu hyun-woo"
CREATE TABLE table_name_74 (location VARCHAR, owgr_points VARCHAR, winner VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4581, 41, 14836, 584, 4280, 28027, 6, 3, 2381, 122, 52, 834, 2700, 7, 584, 4280, 28027, 6, 4668, 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, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 1128, 21680, 953, 834, 4350, 834, 4581, 549, 17444, 427, 3, 2381, 122, 52, 834, 2700, 7, 2490, 431, 3430, 4668, 3274, 96, 651, 76, 3, 107, 63, 202, 18, 14952, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100...
Who was the away team at Arden Street Oval?
SELECT away_team FROM table_name_24 WHERE venue = "arden street oval"
CREATE TABLE table_name_24 (away_team VARCHAR, venue VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2266, 41, 8006, 834, 11650, 584, 4280, 28027, 6, 5669, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 550, 372, 44, 22635, 35, 1887, 411, 2165, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 550, 834, 11650, 21680, 953, 834, 4350, 834, 2266, 549, 17444, 427, 5669, 3274, 96, 986, 35, 2815, 17986, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
I want the team with assists greater than 118 and rank less than 2
SELECT team FROM table_name_10 WHERE assists > 118 AND rank < 2
CREATE TABLE table_name_10 (team VARCHAR, assists VARCHAR, rank VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1714, 41, 11650, 584, 4280, 28027, 6, 13041, 584, 4280, 28027, 6, 11003, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 27, 241, 8, 372, 28, 13041, 2123, 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, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 372, 21680, 953, 834, 4350, 834, 1714, 549, 17444, 427, 13041, 2490, 3, 20056, 3430, 11003, 3, 2, 204, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What region has a 5 rank?
SELECT region FROM table_name_25 WHERE rank = 5
CREATE TABLE table_name_25 (region VARCHAR, rank VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1828, 41, 18145, 584, 4280, 28027, 6, 11003, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 1719, 65, 3, 9, 305, 11003, 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, 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, 1719, 21680, 953, 834, 4350, 834, 1828, 549, 17444, 427, 11003, 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, -10...
Which mountain peak has spanish peaks?
SELECT mountain_peak FROM table_name_29 WHERE mountain_range = "spanish peaks"
CREATE TABLE table_name_29 (mountain_peak VARCHAR, mountain_range VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3166, 41, 11231, 9, 77, 834, 14661, 584, 4280, 28027, 6, 4180, 834, 5517, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 4180, 6734, 65, 8438, 1273, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4180, 834, 14661, 21680, 953, 834, 4350, 834, 3166, 549, 17444, 427, 4180, 834, 5517, 3274, 96, 7, 2837, 1273, 3, 25399, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What date did Essendon play as the home team?
SELECT date FROM table_name_83 WHERE home_team = "essendon"
CREATE TABLE table_name_83 (date VARCHAR, home_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4591, 41, 5522, 584, 4280, 28027, 6, 234, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 833, 410, 11722, 2029, 577, 38, 8, 234, 372, 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, 833, 21680, 953, 834, 4350, 834, 4591, 549, 17444, 427, 234, 834, 11650, 3274, 96, 8185, 2029, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the attendance at Windy Hill?
SELECT MAX(crowd) FROM table_name_27 WHERE venue = "windy hill"
CREATE TABLE table_name_27 (crowd INTEGER, venue VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2555, 41, 75, 3623, 26, 3, 21342, 17966, 6, 5669, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 11364, 44, 5634, 63, 3588, 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, 4800, 4, 599, 75, 3623, 26, 61, 21680, 953, 834, 4350, 834, 2555, 549, 17444, 427, 5669, 3274, 96, 5165, 63, 9956, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What was the smallest crowd of vfl park?
SELECT MIN(crowd) FROM table_name_83 WHERE venue = "vfl park"
CREATE TABLE table_name_83 (crowd INTEGER, venue VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4591, 41, 75, 3623, 26, 3, 21342, 17966, 6, 5669, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 3, 17924, 4374, 13, 3, 208, 89, 40, 2447, 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, 3, 17684, 599, 75, 3623, 26, 61, 21680, 953, 834, 4350, 834, 4591, 549, 17444, 427, 5669, 3274, 96, 208, 89, 40, 2447, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What was the away team score at kardinia park?
SELECT away_team AS score FROM table_name_40 WHERE venue = "kardinia park"
CREATE TABLE table_name_40 (away_team VARCHAR, venue VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2445, 41, 8006, 834, 11650, 584, 4280, 28027, 6, 5669, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 550, 372, 2604, 44, 3, 4031, 2644, 23, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 550, 834, 11650, 6157, 2604, 21680, 953, 834, 4350, 834, 2445, 549, 17444, 427, 5669, 3274, 96, 4031, 2644, 23, 9, 2447, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Who was the away team at the home game of north melbourne?
SELECT away_team FROM table_name_63 WHERE home_team = "north melbourne"
CREATE TABLE table_name_63 (away_team VARCHAR, home_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3891, 41, 8006, 834, 11650, 584, 4280, 28027, 6, 234, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 550, 372, 44, 8, 234, 467, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 550, 834, 11650, 21680, 953, 834, 4350, 834, 3891, 549, 17444, 427, 234, 834, 11650, 3274, 96, 29, 127, 189, 3, 2341, 26255, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the average number of yards on a red tee that has a hole of 1 and a par above 4?
SELECT AVG(yards__red_tees_) FROM table_name_27 WHERE hole = "1" AND par__white_tees_ > 4
CREATE TABLE table_name_27 (yards__red_tees_ INTEGER, hole VARCHAR, par__white_tees_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2555, 41, 6636, 7, 834, 834, 1271, 834, 17, 15, 15, 7, 834, 3, 21342, 17966, 6, 6356, 584, 4280, 28027, 6, 260, 834, 834, 13698, 834, 17, 15, 15, 7, 834, 584...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 6636, 7, 834, 834, 1271, 834, 17, 15, 15, 7, 834, 61, 21680, 953, 834, 4350, 834, 2555, 549, 17444, 427, 6356, 3274, 96, 536, 121, 3430, 260, 834, 834, 13698, 834, 17, 15, 15, 7, 834, 2490, 314, ...
How many bronzes did netherlands win?
SELECT bronze FROM table_name_9 WHERE nation = "netherlands"
CREATE TABLE table_name_9 (bronze VARCHAR, nation VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1298, 41, 13711, 776, 584, 4280, 28027, 6, 2982, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 13467, 7, 410, 3134, 760, 6347, 1369, 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, 13467, 21680, 953, 834, 4350, 834, 1298, 549, 17444, 427, 2982, 3274, 96, 29, 16764, 6347, 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 nation for 6 total?
SELECT nation FROM table_name_13 WHERE total = 6
CREATE TABLE table_name_13 (nation VARCHAR, total VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2368, 41, 29, 257, 584, 4280, 28027, 6, 792, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2982, 21, 431, 792, 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, 2982, 21680, 953, 834, 4350, 834, 2368, 549, 17444, 427, 792, 3274, 431, 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 is the bronze when silver is 4 and gold is 1 and the total is more than 2
SELECT bronze FROM table_name_50 WHERE total > 2 AND gold = "1" AND silver = "4"
CREATE TABLE table_name_50 (bronze VARCHAR, silver VARCHAR, total VARCHAR, gold VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1752, 41, 13711, 776, 584, 4280, 28027, 6, 4294, 584, 4280, 28027, 6, 792, 584, 4280, 28027, 6, 2045, 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, 0, 0, 0, 0...
[ 3, 23143, 14196, 13467, 21680, 953, 834, 4350, 834, 1752, 549, 17444, 427, 792, 2490, 204, 3430, 2045, 3274, 96, 536, 121, 3430, 4294, 3274, 96, 20364, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Tell me the gold for netherlands
SELECT gold FROM table_name_20 WHERE nation = "netherlands"
CREATE TABLE table_name_20 (gold VARCHAR, nation VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1755, 41, 14910, 584, 4280, 28027, 6, 2982, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 8779, 140, 8, 2045, 21, 3134, 760, 6347, 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, 2045, 21680, 953, 834, 4350, 834, 1755, 549, 17444, 427, 2982, 3274, 96, 29, 16764, 6347, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Away team score has a Home team of richmond?
SELECT away_team AS score FROM table_name_58 WHERE home_team = "richmond"
CREATE TABLE table_name_58 (away_team VARCHAR, home_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3449, 41, 8006, 834, 11650, 584, 4280, 28027, 6, 234, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 71, 1343, 372, 2604, 65, 3, 9, 1210, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 550, 834, 11650, 6157, 2604, 21680, 953, 834, 4350, 834, 3449, 549, 17444, 427, 234, 834, 11650, 3274, 96, 3723, 6764, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Home team score has an Away team of carlton?
SELECT home_team AS score FROM table_name_72 WHERE away_team = "carlton"
CREATE TABLE table_name_72 (home_team VARCHAR, away_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5865, 41, 5515, 834, 11650, 584, 4280, 28027, 6, 550, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 1210, 372, 2604, 65, 46, 71, 1343, 372...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 234, 834, 11650, 6157, 2604, 21680, 953, 834, 4350, 834, 5865, 549, 17444, 427, 550, 834, 11650, 3274, 96, 1720, 7377, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the total series numbers that is directed by Jefferson Kibbee and has a production code of 2398191?
SELECT SUM(no_in_series) FROM table_name_38 WHERE director = "jefferson kibbee" AND production_code = "2398191"
CREATE TABLE table_name_38 (no_in_series INTEGER, director VARCHAR, production_code VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3747, 41, 29, 32, 834, 77, 834, 10833, 7, 3, 21342, 17966, 6, 2090, 584, 4280, 28027, 6, 999, 834, 4978, 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, 180, 6122, 599, 29, 32, 834, 77, 834, 10833, 7, 61, 21680, 953, 834, 4350, 834, 3747, 549, 17444, 427, 2090, 3274, 96, 1924, 7010, 739, 3, 2168, 115, 346, 15, 121, 3430, 999, 834, 4978, 3274, 96, 2773, 3916, 2294,...
What is the 1st Edition for the Episode 4?
SELECT 1 AS st_edition FROM table_name_77 WHERE episode = "4"
CREATE TABLE table_name_77 (episode VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4013, 41, 15, 102, 159, 32, 221, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 209, 7, 17, 7504, 21, 8, 16112, 314, 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, 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, 209, 6157, 3, 7, 17, 834, 15, 10569, 21680, 953, 834, 4350, 834, 4013, 549, 17444, 427, 5640, 3274, 96, 20364, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the 1st Edition for Episode 11?
SELECT 1 AS st_edition FROM table_name_16 WHERE episode = "11"
CREATE TABLE table_name_16 (episode VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2938, 41, 15, 102, 159, 32, 221, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 209, 7, 17, 7504, 21, 16112, 850, 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, 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, 209, 6157, 3, 7, 17, 834, 15, 10569, 21680, 953, 834, 4350, 834, 2938, 549, 17444, 427, 5640, 3274, 96, 2596, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the 3rd Edition for Episode 4?
SELECT 3 AS rd_edition FROM table_name_90 WHERE episode = "4"
CREATE TABLE table_name_90 (episode VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2394, 41, 15, 102, 159, 32, 221, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 220, 52, 26, 7504, 21, 16112, 314, 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, 220, 6157, 3, 52, 26, 834, 15, 10569, 21680, 953, 834, 4350, 834, 2394, 549, 17444, 427, 5640, 3274, 96, 20364, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which home teams had crowds larger than 4,000?
SELECT home_team FROM table_name_25 WHERE crowd > 4 OFFSET 000
CREATE TABLE table_name_25 (home_team VARCHAR, crowd INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1828, 41, 5515, 834, 11650, 584, 4280, 28027, 6, 4374, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 4073, 234, 2323, 141, 4374, 7, 2186, 145, 3, 13161, 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, 234, 834, 11650, 21680, 953, 834, 4350, 834, 1828, 549, 17444, 427, 4374, 2490, 314, 3, 15316, 20788, 6078, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
I want to know the date for western oval venue
SELECT date FROM table_name_31 WHERE venue = "western oval"
CREATE TABLE table_name_31 (date VARCHAR, venue VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3341, 41, 5522, 584, 4280, 28027, 6, 5669, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 27, 241, 12, 214, 8, 833, 21, 8282, 17986, 5669, 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, 3341, 549, 17444, 427, 5669, 3274, 96, 24411, 17986, 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 declination with a right ascension of 11h53m41.9s?
SELECT declination___j2000__ FROM table_name_34 WHERE right_ascension___j2000__ = "11h53m41.9s"
CREATE TABLE table_name_34 (declination___j2000__ VARCHAR, right_ascension___j2000__ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3710, 41, 221, 11005, 257, 834, 834, 834, 354, 13527, 834, 834, 584, 4280, 28027, 6, 269, 834, 9, 7, 75, 35, 1938, 834, 834, 834, 354, 13527, 834, 834, 584, 42...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 20, 11005, 257, 834, 834, 834, 354, 13527, 834, 834, 21680, 953, 834, 4350, 834, 3710, 549, 17444, 427, 269, 834, 9, 7, 75, 35, 1938, 834, 834, 834, 354, 13527, 834, 834, 3274, 96, 2596, 107, 4867, 51, 591, 22493,...
What is the 1st leg when team 1 is Chelsea?
SELECT 1 AS st_leg FROM table_name_58 WHERE team_1 = "chelsea"
CREATE TABLE table_name_58 (team_1 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3449, 41, 11650, 834, 536, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 209, 7, 17, 4553, 116, 372, 209, 19, 14373, 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, 209, 6157, 3, 7, 17, 834, 5772, 21680, 953, 834, 4350, 834, 3449, 549, 17444, 427, 372, 834, 536, 3274, 96, 8738, 7, 15, 9, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What was the away team score, when the away team was Fitzroy?
SELECT away_team AS score FROM table_name_32 WHERE away_team = "fitzroy"
CREATE TABLE table_name_32 (away_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2668, 41, 8006, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 550, 372, 2604, 6, 116, 8, 550, 372, 47, 9783, 172, 8170, 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, 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, 550, 834, 11650, 6157, 2604, 21680, 953, 834, 4350, 834, 2668, 549, 17444, 427, 550, 834, 11650, 3274, 96, 89, 5615, 8170, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the name of the home team when the away team was Melbourne?
SELECT home_team FROM table_name_70 WHERE away_team = "melbourne"
CREATE TABLE table_name_70 (home_team VARCHAR, away_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2518, 41, 5515, 834, 11650, 584, 4280, 28027, 6, 550, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 564, 13, 8, 234, 372, 116, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 234, 834, 11650, 21680, 953, 834, 4350, 834, 2518, 549, 17444, 427, 550, 834, 11650, 3274, 96, 2341, 26255, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the name of the home team that has a venue called EMCG?
SELECT home_team FROM table_name_50 WHERE venue = "emcg"
CREATE TABLE table_name_50 (home_team VARCHAR, venue VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1752, 41, 5515, 834, 11650, 584, 4280, 28027, 6, 5669, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 564, 13, 8, 234, 372, 24, 65, 3, 9, 566...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 234, 834, 11650, 21680, 953, 834, 4350, 834, 1752, 549, 17444, 427, 5669, 3274, 96, 15, 51, 75, 122, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the name of the venue where the game played had an away team of Melbourne?
SELECT venue FROM table_name_5 WHERE away_team = "melbourne"
CREATE TABLE table_name_5 (venue VARCHAR, away_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 755, 41, 15098, 584, 4280, 28027, 6, 550, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 564, 13, 8, 5669, 213, 8, 467, 1944, 141, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 5669, 21680, 953, 834, 4350, 834, 755, 549, 17444, 427, 550, 834, 11650, 3274, 96, 2341, 26255, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the average number lost with a difference of -16, 19 points, and more than 24 against?
SELECT AVG(lost) FROM table_name_33 WHERE diff > -16 AND points = 19 AND against > 24
CREATE TABLE table_name_33 (lost INTEGER, against VARCHAR, diff VARCHAR, points VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4201, 41, 2298, 17, 3, 21342, 17966, 6, 581, 584, 4280, 28027, 6, 20624, 584, 4280, 28027, 6, 979, 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, 71, 17217, 599, 2298, 17, 61, 21680, 953, 834, 4350, 834, 4201, 549, 17444, 427, 20624, 2490, 3, 10892, 3430, 979, 3274, 957, 3430, 581, 2490, 997, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the highest number of losses with 25 points?
SELECT MAX(lost) FROM table_name_79 WHERE points = 25
CREATE TABLE table_name_79 (lost INTEGER, points VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4440, 41, 2298, 17, 3, 21342, 17966, 6, 979, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2030, 381, 13, 8467, 28, 944, 979, 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, 4800, 4, 599, 2298, 17, 61, 21680, 953, 834, 4350, 834, 4440, 549, 17444, 427, 979, 3274, 944, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the sum of the difference for 9 draws and over 18 played?
SELECT SUM(diff) FROM table_name_48 WHERE drawn = 9 AND played > 18
CREATE TABLE table_name_48 (diff INTEGER, drawn VARCHAR, played VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3707, 41, 26, 5982, 3, 21342, 17966, 6, 6796, 584, 4280, 28027, 6, 1944, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 4505, 13, 8, 1750, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 180, 6122, 599, 26, 5982, 61, 21680, 953, 834, 4350, 834, 3707, 549, 17444, 427, 6796, 3274, 668, 3430, 1944, 2490, 507, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the lowest number drawn with less than 2 lost?
SELECT MIN(drawn) FROM table_name_36 WHERE lost < 2
CREATE TABLE table_name_36 (drawn INTEGER, lost INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3420, 41, 19489, 29, 3, 21342, 17966, 6, 1513, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 7402, 381, 6796, 28, 705, 145, 204, 1513, 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, 3, 17684, 599, 19489, 29, 61, 21680, 953, 834, 4350, 834, 3420, 549, 17444, 427, 1513, 3, 2, 204, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the sum of all points when number played is less than 18?
SELECT SUM(points) FROM table_name_40 WHERE played < 18
CREATE TABLE table_name_40 (points INTEGER, played INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2445, 41, 2700, 7, 3, 21342, 17966, 6, 1944, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 4505, 13, 66, 979, 116, 381, 1944, 19, 705, 145, 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, 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, 2700, 7, 61, 21680, 953, 834, 4350, 834, 2445, 549, 17444, 427, 1944, 3, 2, 507, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which date has a Score of 6–4, 6–3?
SELECT date FROM table_name_48 WHERE score = "6–4, 6–3"
CREATE TABLE table_name_48 (date VARCHAR, score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3707, 41, 5522, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 833, 65, 3, 9, 17763, 13, 431, 104, 8525, 431, 104, 519, 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, 833, 21680, 953, 834, 4350, 834, 3707, 549, 17444, 427, 2604, 3274, 96, 948, 104, 8525, 431, 104, 519, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the total PI GP that a Reg GP has larger than 3?
SELECT COUNT(pl_gp) FROM table_name_79 WHERE reg_gp > 3
CREATE TABLE table_name_79 (pl_gp VARCHAR, reg_gp INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4440, 41, 102, 40, 834, 122, 102, 584, 4280, 28027, 6, 5925, 834, 122, 102, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 792, 3, 4111, 3, 80...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2847, 17161, 599, 102, 40, 834, 122, 102, 61, 21680, 953, 834, 4350, 834, 4440, 549, 17444, 427, 5925, 834, 122, 102, 2490, 220, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What average Reg GP has a pick # larger than 210?
SELECT AVG(reg_gp) FROM table_name_84 WHERE pick__number > 210
CREATE TABLE table_name_84 (reg_gp INTEGER, pick__number INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4608, 41, 60, 122, 834, 122, 102, 3, 21342, 17966, 6, 1432, 834, 834, 5525, 1152, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 363, 1348, 7777, 3, 8049, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 71, 17217, 599, 60, 122, 834, 122, 102, 61, 21680, 953, 834, 4350, 834, 4608, 549, 17444, 427, 1432, 834, 834, 5525, 1152, 2490, 3, 15239, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which result has a Goal of deacon 2/5?
SELECT result FROM table_name_47 WHERE goals = "deacon 2/5"
CREATE TABLE table_name_47 (result VARCHAR, goals VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4177, 41, 60, 7, 83, 17, 584, 4280, 28027, 6, 1766, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 741, 65, 3, 9, 17916, 13, 20, 9, 1018, 204, 1693...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4177, 549, 17444, 427, 1766, 3274, 96, 221, 9, 1018, 3, 15896, 17395, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Which date has a Goal of deacon 4/4, withers 1 dg?
SELECT date FROM table_name_32 WHERE goals = "deacon 4/4, withers 1 dg"
CREATE TABLE table_name_32 (date VARCHAR, goals VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2668, 41, 5522, 584, 4280, 28027, 6, 1766, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 833, 65, 3, 9, 17916, 13, 20, 9, 1018, 314, 13572, 6, 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, 833, 21680, 953, 834, 4350, 834, 2668, 549, 17444, 427, 1766, 3274, 96, 221, 9, 1018, 314, 13572, 6, 28, 277, 209, 3, 26, 122, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What are the goals for 8/4/04?
SELECT goals FROM table_name_70 WHERE date = "8/4/04"
CREATE TABLE table_name_70 (goals VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2518, 41, 839, 5405, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 33, 8, 1766, 21, 505, 13572, 24288, 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, 1766, 21680, 953, 834, 4350, 834, 2518, 549, 17444, 427, 833, 3274, 96, 927, 13572, 24288, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which venue has a Result of w, and a Goal of deacon 5/5?
SELECT venue FROM table_name_84 WHERE result = "w" AND goals = "deacon 5/5"
CREATE TABLE table_name_84 (venue VARCHAR, result VARCHAR, goals VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4608, 41, 15098, 584, 4280, 28027, 6, 741, 584, 4280, 28027, 6, 1766, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 5669, 65, 3, 9, 3, 20119, 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, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 5669, 21680, 953, 834, 4350, 834, 4608, 549, 17444, 427, 741, 3274, 96, 210, 121, 3430, 1766, 3274, 96, 221, 9, 1018, 305, 87, 17395, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which result has a Goal of deacon 3/5, bridge 2/2?
SELECT result FROM table_name_38 WHERE goals = "deacon 3/5, bridge 2/2"
CREATE TABLE table_name_38 (result VARCHAR, goals VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3747, 41, 60, 7, 83, 17, 584, 4280, 28027, 6, 1766, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 741, 65, 3, 9, 17916, 13, 20, 9, 1018, 220, 1693...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 741, 21680, 953, 834, 4350, 834, 3747, 549, 17444, 427, 1766, 3274, 96, 221, 9, 1018, 220, 16936, 6, 4716, 204, 13311, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which competition has a Goal of deacon 10/10, and a Score of 40–12?
SELECT competition FROM table_name_52 WHERE goals = "deacon 10/10" AND score = "40–12"
CREATE TABLE table_name_52 (competition VARCHAR, goals VARCHAR, score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5373, 41, 287, 4995, 4749, 584, 4280, 28027, 6, 1766, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 2259, 65, 3, 9, 17916, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2259, 21680, 953, 834, 4350, 834, 5373, 549, 17444, 427, 1766, 3274, 96, 221, 9, 1018, 335, 11476, 121, 3430, 2604, 3274, 96, 2445, 104, 2122, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the total number of playoff games played by the Seattle Thunderbirds team where the number of regular games played is less than 5 and pick number is less than 131?
SELECT COUNT(pl_gp) FROM table_name_16 WHERE reg_gp < 5 AND team__league_ = "seattle thunderbirds" AND pick__number < 131
CREATE TABLE table_name_16 (pl_gp VARCHAR, pick__number VARCHAR, reg_gp VARCHAR, team__league_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2938, 41, 102, 40, 834, 122, 102, 584, 4280, 28027, 6, 1432, 834, 834, 5525, 1152, 584, 4280, 28027, 6, 5925, 834, 122, 102, 584, 4280, 28027, 6, 372, 834, 834, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 102, 40, 834, 122, 102, 61, 21680, 953, 834, 4350, 834, 2938, 549, 17444, 427, 5925, 834, 122, 102, 3, 2, 305, 3430, 372, 834, 834, 29512, 834, 3274, 96, 7, 15, 9, 8692, 26783, 9414, 7, 121, 34...
What player has a number of playoff games played greater than 0?
SELECT player FROM table_name_51 WHERE pl_gp > 0
CREATE TABLE table_name_51 (player VARCHAR, pl_gp INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5553, 41, 20846, 584, 4280, 28027, 6, 4752, 834, 122, 102, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 363, 1959, 65, 3, 9, 381, 13, 15289, 1031, 1944, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1959, 21680, 953, 834, 4350, 834, 5553, 549, 17444, 427, 4752, 834, 122, 102, 2490, 3, 632, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the sum of the number of regular games played by Morgan Clark with the number of road games less than 7?
SELECT SUM(reg_gp) FROM table_name_17 WHERE player = "morgan clark" AND rd__number < 7
CREATE TABLE table_name_17 (reg_gp INTEGER, player VARCHAR, rd__number VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2517, 41, 60, 122, 834, 122, 102, 3, 21342, 17966, 6, 1959, 584, 4280, 28027, 6, 3, 52, 26, 834, 834, 5525, 1152, 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, 122, 834, 122, 102, 61, 21680, 953, 834, 4350, 834, 2517, 549, 17444, 427, 1959, 3274, 96, 51, 11127, 6860, 157, 121, 3430, 3, 52, 26, 834, 834, 5525, 1152, 3, 2, 489, 1, -100, -100, -100, -1...
What player has a number of playoff games played greater than 0?
SELECT player FROM table_name_64 WHERE pl_gp > 0
CREATE TABLE table_name_64 (player VARCHAR, pl_gp INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4389, 41, 20846, 584, 4280, 28027, 6, 4752, 834, 122, 102, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 363, 1959, 65, 3, 9, 381, 13, 15289, 1031, 1944, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1959, 21680, 953, 834, 4350, 834, 4389, 549, 17444, 427, 4752, 834, 122, 102, 2490, 3, 632, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the pick number for the player from higher than round 3 and a PI GP bigger than 0?
SELECT pick__number FROM table_name_70 WHERE rd__number > 3 AND pl_gp > 0
CREATE TABLE table_name_70 (pick__number VARCHAR, rd__number VARCHAR, pl_gp VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2518, 41, 17967, 834, 834, 5525, 1152, 584, 4280, 28027, 6, 3, 52, 26, 834, 834, 5525, 1152, 584, 4280, 28027, 6, 4752, 834, 122, 102, 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, 1432, 834, 834, 5525, 1152, 21680, 953, 834, 4350, 834, 2518, 549, 17444, 427, 3, 52, 26, 834, 834, 5525, 1152, 2490, 220, 3430, 4752, 834, 122, 102, 2490, 3, 632, 1, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the lowest regular GP Larry Courville, who has a PI GP smaller than 0, has?
SELECT MIN(reg_gp) FROM table_name_26 WHERE player = "larry courville" AND pl_gp < 0
CREATE TABLE table_name_26 (reg_gp INTEGER, player VARCHAR, pl_gp VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2688, 41, 60, 122, 834, 122, 102, 3, 21342, 17966, 6, 1959, 584, 4280, 28027, 6, 4752, 834, 122, 102, 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, 1...
[ 3, 23143, 14196, 3, 17684, 599, 60, 122, 834, 122, 102, 61, 21680, 953, 834, 4350, 834, 2688, 549, 17444, 427, 1959, 3274, 96, 40, 291, 651, 11111, 1420, 121, 3430, 4752, 834, 122, 102, 3, 2, 3, 632, 1, -100, -100, -100, -100, -...
What was Essendon's opponents away score?
SELECT away_team AS score FROM table_name_40 WHERE home_team = "essendon"
CREATE TABLE table_name_40 (away_team VARCHAR, home_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2445, 41, 8006, 834, 11650, 584, 4280, 28027, 6, 234, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 11722, 2029, 31, 7, 16383, 550, 260...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 550, 834, 11650, 6157, 2604, 21680, 953, 834, 4350, 834, 2445, 549, 17444, 427, 234, 834, 11650, 3274, 96, 8185, 2029, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the attendance at Corio Oval?
SELECT crowd FROM table_name_9 WHERE venue = "corio oval"
CREATE TABLE table_name_9 (crowd VARCHAR, venue VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1298, 41, 75, 3623, 26, 584, 4280, 28027, 6, 5669, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 11364, 44, 2487, 23, 32, 411, 2165, 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, 4374, 21680, 953, 834, 4350, 834, 1298, 549, 17444, 427, 5669, 3274, 96, 5715, 23, 32, 17986, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
When collingwood played as the away team what did they score?
SELECT away_team AS score FROM table_name_3 WHERE away_team = "collingwood"
CREATE TABLE table_name_3 (away_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 519, 41, 8006, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 366, 8029, 53, 2037, 1944, 38, 8, 550, 372, 125, 410, 79, 2604, 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, 550, 834, 11650, 6157, 2604, 21680, 953, 834, 4350, 834, 519, 549, 17444, 427, 550, 834, 11650, 3274, 96, 3297, 697, 2037, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What was the locaction of the Evans test blast?
SELECT location FROM table_name_64 WHERE name = "evans"
CREATE TABLE table_name_64 (location VARCHAR, name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4389, 41, 14836, 584, 4280, 28027, 6, 564, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 2072, 4787, 13, 8, 18305, 794, 11925, 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, 1128, 21680, 953, 834, 4350, 834, 4389, 549, 17444, 427, 564, 3274, 96, 15, 2132, 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 was the yield for a blast that was in nts area 3s?
SELECT yield FROM table_name_39 WHERE location = "nts area 3s"
CREATE TABLE table_name_39 (yield VARCHAR, location VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3288, 41, 63, 23, 8804, 584, 4280, 28027, 6, 1128, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 6339, 21, 3, 9, 11925, 24, 47, 16, 3, 29, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 6339, 21680, 953, 834, 4350, 834, 3288, 549, 17444, 427, 1128, 3274, 96, 29, 17, 7, 616, 220, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What was the purpose of the Quay test blast?
SELECT purpose FROM table_name_54 WHERE name = "quay"
CREATE TABLE table_name_54 (purpose VARCHAR, name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 5062, 41, 19681, 584, 4280, 28027, 6, 564, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 1730, 13, 8, 2415, 9, 63, 794, 11925, 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, 1730, 21680, 953, 834, 4350, 834, 5062, 549, 17444, 427, 564, 3274, 96, 4960, 63, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
For an apparent magnitude greater than 11.8 what Right ascension value is assigned?
SELECT right_ascension___j2000__ FROM table_name_29 WHERE apparent_magnitude > 11.8
CREATE TABLE table_name_29 (right_ascension___j2000__ VARCHAR, apparent_magnitude INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3166, 41, 3535, 834, 9, 7, 75, 35, 1938, 834, 834, 834, 354, 13527, 834, 834, 584, 4280, 28027, 6, 10320, 834, 7493, 29, 20341, 3, 21342, 17966, 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, 269, 834, 9, 7, 75, 35, 1938, 834, 834, 834, 354, 13527, 834, 834, 21680, 953, 834, 4350, 834, 3166, 549, 17444, 427, 10320, 834, 7493, 29, 20341, 2490, 209, 16253, 1, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the least apparent magnitude for all constellations from hydra?
SELECT MIN(apparent_magnitude) FROM table_name_31 WHERE constellation = "hydra"
CREATE TABLE table_name_31 (apparent_magnitude INTEGER, constellation VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3341, 41, 10198, 295, 834, 7493, 29, 20341, 3, 21342, 17966, 6, 30872, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 709, 10320, 20722, 21, 66, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3, 17684, 599, 10198, 295, 834, 7493, 29, 20341, 61, 21680, 953, 834, 4350, 834, 3341, 549, 17444, 427, 30872, 3274, 96, 10656, 9, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the highest Car with more than 155 yards?
SELECT MAX(car) FROM table_name_56 WHERE yards > 155
CREATE TABLE table_name_56 (car INTEGER, yards INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4834, 41, 1720, 3, 21342, 17966, 6, 6460, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2030, 1184, 28, 72, 145, 3, 20896, 6460, 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, 4800, 4, 599, 1720, 61, 21680, 953, 834, 4350, 834, 4834, 549, 17444, 427, 6460, 2490, 3, 20896, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
How many pages were in the book by Stefano D'Arrigo?
SELECT page_count FROM table_name_39 WHERE author = "stefano d'arrigo"
CREATE TABLE table_name_39 (page_count VARCHAR, author VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3288, 41, 6492, 834, 13362, 584, 4280, 28027, 6, 2291, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 1688, 130, 16, 8, 484, 57, 14189, 32, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 543, 834, 13362, 21680, 953, 834, 4350, 834, 3288, 549, 17444, 427, 2291, 3274, 96, 7, 24018, 32, 3, 26, 31, 10269, 839, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which author wrote Sironia, Texas in English?
SELECT author FROM table_name_42 WHERE language = "english" AND book_title = "sironia, texas"
CREATE TABLE table_name_42 (author VARCHAR, language VARCHAR, book_title VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4165, 41, 17415, 584, 4280, 28027, 6, 1612, 584, 4280, 28027, 6, 484, 834, 21869, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 2291, 2832, 8627, 8008, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2291, 21680, 953, 834, 4350, 834, 4165, 549, 17444, 427, 1612, 3274, 96, 4606, 40, 1273, 121, 3430, 484, 834, 21869, 3274, 96, 7, 17773, 23, 9, 6, 3, 10354, 9, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, ...
Who is the edition/publisher for Xavier Herbert?
SELECT edition_publisher FROM table_name_9 WHERE author = "xavier herbert"
CREATE TABLE table_name_9 (edition_publisher VARCHAR, author VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1298, 41, 15, 10569, 834, 29337, 49, 584, 4280, 28027, 6, 2291, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 19, 8, 4182, 87, 29337, 49, 21, 3, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4182, 834, 29337, 49, 21680, 953, 834, 4350, 834, 1298, 549, 17444, 427, 2291, 3274, 96, 226, 9, 5144, 160, 7041, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What language is the book Miss Macintosh, My Darling in?
SELECT language FROM table_name_17 WHERE book_title = "miss macintosh, my darling"
CREATE TABLE table_name_17 (language VARCHAR, book_title VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2517, 41, 24925, 584, 4280, 28027, 6, 484, 834, 21869, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 1612, 19, 8, 484, 5964, 2143, 77, 235, 7, 107, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1612, 21680, 953, 834, 4350, 834, 2517, 549, 17444, 427, 484, 834, 21869, 3274, 96, 11502, 11486, 77, 235, 7, 107, 6, 82, 649, 697, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Who published in Italian with a page size of 8 inches (20cm) x 5.4 inches (14cm)?
SELECT edition_publisher FROM table_name_5 WHERE language = "italian" AND page_size = "8 inches (20cm) x 5.4 inches (14cm)"
CREATE TABLE table_name_5 (edition_publisher VARCHAR, language VARCHAR, page_size VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 755, 41, 15, 10569, 834, 29337, 49, 584, 4280, 28027, 6, 1612, 584, 4280, 28027, 6, 543, 834, 7991, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 1790...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4182, 834, 29337, 49, 21680, 953, 834, 4350, 834, 755, 549, 17444, 427, 1612, 3274, 96, 155, 9, 9928, 121, 3430, 543, 834, 7991, 3274, 96, 927, 5075, 17543, 75, 51, 61, 3, 226, 3, 27436, 5075, 41, 2534, 75, 51, ...
What is the total average for long 10?
SELECT COUNT(avg) FROM table_name_25 WHERE long = 10
CREATE TABLE table_name_25 (avg VARCHAR, long VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 1828, 41, 9, 208, 122, 584, 4280, 28027, 6, 307, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 792, 1348, 21, 307, 335, 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, 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, 2847, 17161, 599, 9, 208, 122, 61, 21680, 953, 834, 4350, 834, 1828, 549, 17444, 427, 307, 3274, 335, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Name the college that has 7 rounds and boston celtics team
SELECT college FROM table_name_86 WHERE team = "boston celtics" AND round = "7"
CREATE TABLE table_name_86 (college VARCHAR, team VARCHAR, round VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3840, 41, 3297, 7883, 584, 4280, 28027, 6, 372, 584, 4280, 28027, 6, 1751, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 1900, 24, 65, 489, 14419, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1900, 21680, 953, 834, 4350, 834, 3840, 549, 17444, 427, 372, 3274, 96, 115, 32, 4411, 1503, 7636, 121, 3430, 1751, 3274, 96, 940, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the position that has baltimore bullets and college of texas tech
SELECT position FROM table_name_86 WHERE team = "baltimore bullets" AND college = "texas tech"
CREATE TABLE table_name_86 (position VARCHAR, team VARCHAR, college VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3840, 41, 4718, 584, 4280, 28027, 6, 372, 584, 4280, 28027, 6, 1900, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 1102, 24, 65, 6561, 17, 23, 37...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 21680, 953, 834, 4350, 834, 3840, 549, 17444, 427, 372, 3274, 96, 3849, 17, 23, 3706, 11126, 7, 121, 3430, 1900, 3274, 96, 10354, 9, 7, 5256, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the nationality for milwaukee hawks?
SELECT nationality FROM table_name_91 WHERE team = "milwaukee hawks"
CREATE TABLE table_name_91 (nationality VARCHAR, team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 4729, 41, 16557, 485, 584, 4280, 28027, 6, 372, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1157, 485, 21, 15533, 210, 402, 1050, 15, 3, 144...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4729, 549, 17444, 427, 372, 3274, 96, 51, 173, 210, 402, 1050, 15, 3, 14400, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the name of the superfund that was proposed on 06/24/1988?
SELECT name FROM table_name_99 WHERE proposed = "06/24/1988"
CREATE TABLE table_name_99 (name VARCHAR, proposed VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3264, 41, 4350, 584, 4280, 28027, 6, 4382, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 564, 13, 8, 1355, 7610, 24, 47, 4382, 30, 13574, 87, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 564, 21680, 953, 834, 4350, 834, 3264, 549, 17444, 427, 4382, 3274, 96, 5176, 87, 2266, 13523, 4060, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which team was played against in game 4?
SELECT team FROM table_name_40 WHERE game = 4
CREATE TABLE table_name_40 (team VARCHAR, game VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 2445, 41, 11650, 584, 4280, 28027, 6, 467, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 372, 47, 1944, 581, 16, 467, 314, 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, 372, 21680, 953, 834, 4350, 834, 2445, 549, 17444, 427, 467, 3274, 314, 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 is the location attendance of the game with A. Horford (10) as the highest rebounds and J. Johnson (21) as the highest points?
SELECT location_attendance FROM table_name_49 WHERE high_rebounds = "a. horford (10)" AND high_points = "j. johnson (21)"
CREATE TABLE table_name_49 (location_attendance VARCHAR, high_rebounds VARCHAR, high_points VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 4350, 834, 3647, 41, 14836, 834, 15116, 663, 584, 4280, 28027, 6, 306, 834, 23768, 584, 4280, 28027, 6, 306, 834, 2700, 7, 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, 1128, 834, 15116, 663, 21680, 953, 834, 4350, 834, 3647, 549, 17444, 427, 306, 834, 23768, 3274, 96, 9, 5, 3, 107, 127, 2590, 41, 16968, 121, 3430, 306, 834, 2700, 7, 3274, 96, 354, 5, 3, 27341, 739, 4743, 6982, ...