defog/wikisql_codellama_1000 · Datasets at Hugging Face

input_ids sequence	attention_mask sequence	labels sequence	prompt stringlengths 528 1.77k	completion stringlengths 40 173
[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 5618, 29915, 29879, 278, 3001, 14333, 749, 310, 278, 454, 21628, 297, 4259, 310, 29871, 29906, 29900, 29896, 29900, 29973, 29952, 13, 13, 2277, ...	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...	### Task Generate a SQL query to answer the following question: `What's the total attendance of the leagues in season of 2010?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_10815352_1 ( Country text, Sport text, Season text, "Average attendance" numeric, ...	SELECT COUNT("Total attendance") FROM table_1_10815352_1 WHERE "Season" ILIKE '%2010%'
[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 5618, 338, 278, 4513, 310, 5839, 29871, 29953, 29941, 29973, 29952, 13, 13, 2277, 29937, 5470, 1102, 2603, 13, 1576, 2346, 674, 1065, 373, 263...	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...	### Task Generate a SQL query to answer the following question: `What is the round of pick 63?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_11545282_6 ( "No." numeric, Nationality text, "Years for Jazz" text ); CREATE TABLE table_1_10020178_1 ( Canton te...	SELECT Round FROM table_2_17383560_1 WHERE "Pick" = '63'
[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 5328, 1784, 17202, 310, 1776, 414, 18515, 287, 297, 363, 376, 9984, 4104, 278, 2088, 24208, 322, 2401, 284, 278, 12362, 8652, 29952, 13, 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...	[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...	### Task Generate a SQL query to answer the following question: `How many thousands of viewers tuned in for "Make Mad the Guilty and Appal the Free"?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_10932739_2 ( "Semimajor Axis ( AU )" text, "Radial velocity (...	SELECT "N.Z. viewers (thousand)" FROM table_1_23114705_7 WHERE "Title" ILIKE '%"Make%Mad%the%Guilty%and%Appal%the%Free"%'
[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 5618, 338, 278, 8982, 29925, 399, 310, 263, 3878, 23860, 341, 12661, 7621, 1135, 29871, 29947, 29929, 29889, 29945, 297, 278, 4272, 310, 399, ...	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...	### Task Generate a SQL query to answer the following question: `What is the ERP W of a Frequency MHz greater than 89.5 in the city of Washburn, Texas?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_2_14203256_2 ( "Call sign" text, "FCC info" text, "City of l...	SELECT "ERP W" FROM table_2_14203256_2 WHERE "Frequency MHz" > '89.5' AND "City of license" ILIKE '%washburn,%texas%'
[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 5816, 338, 278, 2635, 746, 278, 6003, 434, 338, 380, 1943, 10684, 409, 948, 29875, 413, 792, 11555, 1919, 6836, 420, 29891, 29973, 29952, 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...	[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...	### Task Generate a SQL query to answer the following question: `what is the date when the venue is stade général seyni kountché , niamey?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_2_18707391_1 ( Date text, Competition text, Score text, Venue text, Res...	SELECT Date FROM table_2_18707391_1 WHERE "Venue" ILIKE '%stade%général%seyni%kountché%,%niamey%'
[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 5328, 1784, 10769, 411, 263, 2602, 526, 9904, 363, 278, 29871, 29906, 29900, 29900, 29929, 4259, 29973, 421, 13, 13, 2277, 29937, 5470, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...	### Task Generate a SQL query to answer the following question: `How many players with a position are listed for the 2009 season? ` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_11621915_1 ( Winner text, "Purse( $ )" numeric, Date text, Tournament text, S...	SELECT COUNT(POSITION) FROM table_1_15463188_17 WHERE "Season" ILIKE '%2009%'
[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 22110, 338, 278, 3271, 3815, 472, 14212, 4815, 373, 29871, 29906, 29900, 3786, 29871, 29896, 29929, 29945, 29955, 29973, 29952, 13, 13, 2277, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...	### Task Generate a SQL query to answer the following question: `Who is the home team at Victoria Park on 20 April 1957?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_11677100_5 ( Player text, Position text, Hometown text, "MLB Draft" text, School text )...	SELECT "Home team" FROM table_2_10774891_1 WHERE "Date" ILIKE '%20%april%1957%' AND "Venue" ILIKE '%victoria%park%'
[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 5618, 29915, 29879, 278, 24577, 1629, 9904, 363, 376, 3062, 526, 366, 2675, 304, 590, 5360, 29908, 515, 278, 3769, 443, 1573, 591, 2317, 29973...	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...	### Task Generate a SQL query to answer the following question: `What's the earliest year listed for "where are you going to my love" from the album united we stand?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_1231892_4 ( Title text, "Broadcast Order" tex...	SELECT MIN(YEAR) FROM table_2_16865180_1 WHERE "Album" ILIKE '%united%we%stand%' AND "Single" ILIKE '%"where%are%you%going%to%my%love"%'
[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 7439, 1089, 292, 310, 2524, 1111, 6013, 276, 3350, 750, 825, 14743, 29973, 29952, 13, 13, 2277, 29937, 5470, 1102, 2603, 13, 1576, 2346, 674, ...	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...	### Task Generate a SQL query to answer the following question: `Partnering of franco ferreiro had what tournament?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_11147852_1 ( "Owned since" text, Station text, "City of license/Market" text, "Channel TV ( D...	SELECT Tournament FROM table_2_14924949_12 WHERE "Partnering" ILIKE '%franco%ferreiro%'
[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 5618, 471, 278, 2407, 746, 278, 1570, 3088, 8360, 7358, 5318, 472, 278, 12115, 19906, 29973, 29952, 13, 13, 2277, 29937, 5470, 1102, 2603, 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...	[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...	### Task Generate a SQL query to answer the following question: `What was the record when the New York Knicks played at the Boston Garden?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_1245350_1 ( "Quattroporte IV" text, "Max Speed" text, Power text, "Pro...	SELECT Record FROM table_2_13821868_4 WHERE "Location" ILIKE '%boston%garden%' AND "Opponent" ILIKE '%new%york%knicks%'
[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 8809, 436, 2635, 756, 29871, 29896, 408, 278, 4723, 29973, 29952, 13, 13, 2277, 29937, 5470, 1102, 2603, 13, 1576, 2346, 674, 1065, 373, 263, ...	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...	### Task Generate a SQL query to answer the following question: `Which date has 1 as the week?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_10015132_14 ( "No." numeric, Position text, Player text, "School/Club Team" text, Nationality text, "Years in To...	SELECT Date FROM table_2_15353223_2 WHERE "Week" = '1'
[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 5328, 1784, 10769, 892, 18195, 287, 515, 425, 791, 29973, 29952, 13, 13, 2277, 29937, 5470, 1102, 2603, 13, 1576, 2346, 674, 1065, 373, 263, ...	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...	### Task Generate a SQL query to answer the following question: `How many players were drafted from laval?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_20170644_5 ( "Pick #" numeric, College text, "CFL Team" text, Position text, Player text ); CREATE TA...	SELECT COUNT("CFL Team") FROM table_1_20170644_5 WHERE "College" ILIKE '%Laval%'
[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 5618, 338, 278, 3001, 1353, 310, 3291, 411, 3109, 1135, 29871, 29946, 29929, 3291, 297, 29871, 29906, 29900, 29900, 29947, 29899, 29900, 29929, ...	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...	### Task Generate a SQL query to answer the following question: `What is the total number of points with less than 49 points in 2008-09, and 46 points in 2006-07?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_11604804_5 ( Founded numeric, Color text, Nickn...	SELECT COUNT("Total Pts") FROM table_2_18226336_10 WHERE "2008–09 Pts" < '49' AND "2006–07 Pts" ILIKE '%46%'
[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 8809, 436, 4523, 29914, 6821, 431, 8583, 756, 263, 21595, 7200, 1135, 29871, 29896, 29953, 29973, 29952, 13, 13, 2277, 29937, 5470, 1102, 2603, ...	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...	### Task Generate a SQL query to answer the following question: `Which School/Club Team has a Round larger than 16?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_1012730_1 ( Winnings text, Poles numeric, "Top 10" numeric, Wins numeric, "Avg. Start" text,...	SELECT "School/Club Team" FROM table_2_15093658_1 WHERE "Round" > '16'
[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 5618, 338, 278, 8158, 310, 3748, 29871, 29941, 29955, 29973, 29952, 13, 13, 2277, 29937, 5470, 1102, 2603, 13, 1576, 2346, 674, 1065, 373, 263...	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...	### Task Generate a SQL query to answer the following question: `What is the score of game 37?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_11780179_1 ( Population numeric, "Area (km²)" numeric, "GDP (nominal)" text, "GDP per capita (nominal)" text, Cou...	SELECT Score FROM table_2_17599495_6 WHERE "Game" = '37'
[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 5618, 338, 278, 10513, 272, 411, 263, 3086, 537, 411, 9728, 29892, 322, 385, 382, 2608, 1061, 310, 17164, 20444, 29892, 322, 385, 382, 2608, ...	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...	### Task Generate a SQL query to answer the following question: `What is the Elector with a Nationality with roman, and an Elevator of urban iv, and an Elevated with 1261, december 17?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_11963536_11 ( "Location Att...	SELECT Elector FROM table_2_12079744_1 WHERE "Nationality" ILIKE '%roman%' AND "Elevator" ILIKE '%urban%iv%' AND "Elevated" ILIKE '%1261,%december%17%'
[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 797, 607, 12720, 338, 922, 273, 29915, 29879, 3815, 1754, 701, 310, 7365, 728, 13707, 402, 20144, 29899, 29924, 332, 21155, 322, 13423, 830, 2...	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...	### Task Generate a SQL query to answer the following question: `In which episode is Sean's team made up of Krishnan Guru-Murthy and Vic Reeves?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_23292220_3 ( "First broadcast" text, Scores text, "Seans team" te...	SELECT Episode FROM table_1_23292220_3 WHERE "Seans team" ILIKE '%Krishnan%Guru-Murthy%and%Vic%Reeves%'
[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 5618, 29871, 29906, 29900, 29900, 29929, 756, 4595, 2243, 314, 14743, 29879, 310, 29871, 29906, 29900, 29900, 29947, 29973, 29952, 13, 13, 2277, ...	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...	### Task Generate a SQL query to answer the following question: `What 2009 has grand slam tournaments of 2008?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_12027364_1 ( "Womens singles" text, Year numeric, "Mixed doubles" text, "Womens doubles" text, "M...	SELECT 2009 FROM table_2_15746889_11 WHERE "2008" ILIKE '%grand%slam%tournaments%'
[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 5618, 338, 278, 2407, 310, 278, 3748, 373, 4723, 29871, 29896, 29941, 29973, 29952, 13, 13, 2277, 29937, 5470, 1102, 2603, 13, 1576, 2346, 674...	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...	### Task Generate a SQL query to answer the following question: `What is the record of the game on week 13?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_12262182_2 ( Opponent text, Number numeric, Titles text, Defenses numeric, Name text ); CREATE TABLE...	SELECT Record FROM table_2_14942423_1 WHERE "Week" = '13'
[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 5618, 338, 278, 399, 3993, 29892, 746, 278, 17015, 338, 315, 2409, 1100, 29892, 12314, 29892, 322, 746, 278, 4712, 338, 3979, 29871, 29896, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...	### Task Generate a SQL query to answer the following question: `What is the Winner, when the Location is Clemson, SC, and when the Date is November 17, 2012?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_11621873_1 ( Score text, "1st Prize( $ )" numeric, ...	SELECT Winner FROM table_2_13113805_2 WHERE "Location" ILIKE '%clemson,%sc%' AND "Date" ILIKE '%november%17,%2012%'
[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 5618, 29915, 29879, 278, 4078, 746, 278, 6410, 471, 269, 3656, 4425, 313, 29906, 29994, 29906, 6877, 29952, 13, 13, 2277, 29937, 5470, 1102, 2...	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...	### Task Generate a SQL query to answer the following question: `What's the save when the loss was santiago (2–2)?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_11658094_1 ( Enrollment numeric, Joined text, Institution text, Type text, Location text, Fo...	SELECT Save FROM table_2_11633481_5 WHERE "Loss" ILIKE '%santiago%(2–2)%'
[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 5618, 338, 4989, 2004, 8396, 279, 29915, 29879, 19604, 5839, 1353, 29973, 29952, 13, 13, 2277, 29937, 5470, 1102, 2603, 13, 1576, 2346, 674, 1...	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...	### Task Generate a SQL query to answer the following question: `What is Graeme Bonar's lowest pick number?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_10023387_1 ( "Doubles W-L" text, "Total W-L" text, "Years Played" text, "Singles W-L" text ); CREATE ...	SELECT MIN("Pick #") FROM table_1_2850912_3 WHERE "Player" ILIKE '%Graeme%Bonar%'
[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 5618, 526, 278, 21614, 363, 278, 29871, 29955, 386, 2602, 29973, 29952, 13, 13, 2277, 29937, 5470, 1102, 2603, 13, 1576, 2346, 674, 1065, 373,...	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...	### Task Generate a SQL query to answer the following question: `What are the wins for the 7th position?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_10577579_2 ( Type text, Enrollment numeric, Founded numeric, Institution text, "Mens Nickname" text, J...	SELECT Wins FROM table_1_27631002_1 WHERE "Position" ILIKE '%7th%'
[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 5618, 338, 278, 1274, 1617, 962, 363, 278, 4223, 1024, 14299, 10643, 322, 5722, 5996, 832, 12356, 29973, 29952, 13, 13, 2277, 29937, 5470, 110...	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...	### Task Generate a SQL query to answer the following question: `What is the acronym for the English name Northern management and technological institute?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_11960944_11 ( Team text, "High points" text, Date text,...	SELECT Acronym FROM table_2_18144241_2 WHERE "Name in English" ILIKE '%northern%management%and%technological%institute%'
[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 3047, 278, 4665, 297, 29871, 29906, 29900, 29900, 29945, 310, 29871, 29945, 29955, 29906, 29892, 825, 338, 278, 4642, 1024, 29973, 29952, 13, 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...	[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...	### Task Generate a SQL query to answer the following question: `With the population in 2005 of 572, what is the former name?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_10921309_1 ( Export numeric, "Prim. energy" numeric, "CO 2 -emission" text, Electri...	SELECT "Former Name" FROM table_1_21302_1 WHERE "Population (2005)" = '572'
[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 5618, 338, 278, 1353, 9904, 297, 515, 363, 278, 7365, 434, 17344, 8502, 4103, 3395, 26748, 943, 29973, 29952, 13, 13, 2277, 29937, 5470, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...	### Task Generate a SQL query to answer the following question: `What is the number listed in from for the Krueppel Like Transcription Factors?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_26708105_2 ( "Conserved in Mus Musculus" text, "Detailed Family Inf...	SELECT MIN(FROM) FROM table_1_26708105_2 WHERE "Detailed Family Information" ILIKE '%Krueppel%like%transcription%factors%'
[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 1170, 278, 4665, 9027, 988, 4665, 1273, 338, 29871, 29896, 29889, 29896, 29995, 363, 25007, 557, 423, 29952, 13, 13, 2277, 29937, 5470, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...	### Task Generate a SQL query to answer the following question: `Name the population density where population % is 1.1% for slovakia` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_12001616_4 ( "Car Make" text, Laps numeric, Status text, Entrant text, Star...	SELECT "Pop. density People/km 2" FROM table_1_1606824_1 WHERE "Population % of EU" ILIKE '%1.1%%' AND "Member State" ILIKE '%Slovakia%'
[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 5618, 338, 278, 1024, 310, 263, 4423, 297, 20537, 423, 29973, 29952, 13, 13, 2277, 29937, 5470, 1102, 2603, 13, 1576, 2346, 674, 1065, 373, ...	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...	### Task Generate a SQL query to answer the following question: `What is the name of a location in Nigeria?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_11677100_15 ( Position text, Player text, Hometown text, School text, "MLB Draft" text ); CREATE TAB...	SELECT Name FROM table_2_1499203_1 WHERE "Location" ILIKE '%nigeria%'
[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 1170, 278, 29871, 29906, 29900, 29896, 29896, 363, 29871, 29906, 29900, 29896, 29900, 310, 15248, 293, 8090, 29952, 13, 13, 2277, 29937, 5470, 1...	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...	### Task Generate a SQL query to answer the following question: `Name the 2011 for 2010 of olympic games` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_12305325_4 ( "Craigs vote" text, "Lens vote" text, Week numeric, Safe text, Eliminated text, "Brunos v...	SELECT 2011 FROM table_2_12472200_7 WHERE "2010" ILIKE '%olympic%games%'

[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 5618, 29915, 29879, 278, 3001, 14333, 749, 310, 278, 454, 21628, 297, 4259, 310, 29871, 29906, 29900, 29896, 29900, 29973, 29952, 13, 13, 2277, ...

[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...

### Task Generate a SQL query to answer the following question: `What's the total attendance of the leagues in season of 2010?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_10815352_1 ( Country text, Sport text, Season text, "Average attendance" numeric, ...

SELECT COUNT("Total attendance") FROM table_1_10815352_1 WHERE "Season" ILIKE '%2010%'

[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 5618, 338, 278, 4513, 310, 5839, 29871, 29953, 29941, 29973, 29952, 13, 13, 2277, 29937, 5470, 1102, 2603, 13, 1576, 2346, 674, 1065, 373, 263...

[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...

### Task Generate a SQL query to answer the following question: `What is the round of pick 63?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_11545282_6 ( "No." numeric, Nationality text, "Years for Jazz" text ); CREATE TABLE table_1_10020178_1 ( Canton te...

SELECT Round FROM table_2_17383560_1 WHERE "Pick" = '63'

[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 5328, 1784, 17202, 310, 1776, 414, 18515, 287, 297, 363, 376, 9984, 4104, 278, 2088, 24208, 322, 2401, 284, 278, 12362, 8652, 29952, 13, 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...

[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...

### Task Generate a SQL query to answer the following question: `How many thousands of viewers tuned in for "Make Mad the Guilty and Appal the Free"?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_10932739_2 ( "Semimajor Axis ( AU )" text, "Radial velocity (...

SELECT "N.Z. viewers (thousand)" FROM table_1_23114705_7 WHERE "Title" ILIKE '%"Make%Mad%the%Guilty%and%Appal%the%Free"%'

[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 5618, 338, 278, 8982, 29925, 399, 310, 263, 3878, 23860, 341, 12661, 7621, 1135, 29871, 29947, 29929, 29889, 29945, 297, 278, 4272, 310, 399, ...

[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...

### Task Generate a SQL query to answer the following question: `What is the ERP W of a Frequency MHz greater than 89.5 in the city of Washburn, Texas?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_2_14203256_2 ( "Call sign" text, "FCC info" text, "City of l...

SELECT "ERP W" FROM table_2_14203256_2 WHERE "Frequency MHz" > '89.5' AND "City of license" ILIKE '%washburn,%texas%'

[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 5816, 338, 278, 2635, 746, 278, 6003, 434, 338, 380, 1943, 10684, 409, 948, 29875, 413, 792, 11555, 1919, 6836, 420, 29891, 29973, 29952, 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...

[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...

### Task Generate a SQL query to answer the following question: `what is the date when the venue is stade général seyni kountché , niamey?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_2_18707391_1 ( Date text, Competition text, Score text, Venue text, Res...

SELECT Date FROM table_2_18707391_1 WHERE "Venue" ILIKE '%stade%général%seyni%kountché%,%niamey%'

[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 5328, 1784, 10769, 411, 263, 2602, 526, 9904, 363, 278, 29871, 29906, 29900, 29900, 29929, 4259, 29973, 421, 13, 13, 2277, 29937, 5470, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...

### Task Generate a SQL query to answer the following question: `How many players with a position are listed for the 2009 season? ` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_11621915_1 ( Winner text, "Purse( $ )" numeric, Date text, Tournament text, S...

SELECT COUNT(POSITION) FROM table_1_15463188_17 WHERE "Season" ILIKE '%2009%'

[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 22110, 338, 278, 3271, 3815, 472, 14212, 4815, 373, 29871, 29906, 29900, 3786, 29871, 29896, 29929, 29945, 29955, 29973, 29952, 13, 13, 2277, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...

### Task Generate a SQL query to answer the following question: `Who is the home team at Victoria Park on 20 April 1957?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_11677100_5 ( Player text, Position text, Hometown text, "MLB Draft" text, School text )...

SELECT "Home team" FROM table_2_10774891_1 WHERE "Date" ILIKE '%20%april%1957%' AND "Venue" ILIKE '%victoria%park%'

[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 5618, 29915, 29879, 278, 24577, 1629, 9904, 363, 376, 3062, 526, 366, 2675, 304, 590, 5360, 29908, 515, 278, 3769, 443, 1573, 591, 2317, 29973...

[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...

### Task Generate a SQL query to answer the following question: `What's the earliest year listed for "where are you going to my love" from the album united we stand?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_1231892_4 ( Title text, "Broadcast Order" tex...

SELECT MIN(YEAR) FROM table_2_16865180_1 WHERE "Album" ILIKE '%united%we%stand%' AND "Single" ILIKE '%"where%are%you%going%to%my%love"%'

[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 7439, 1089, 292, 310, 2524, 1111, 6013, 276, 3350, 750, 825, 14743, 29973, 29952, 13, 13, 2277, 29937, 5470, 1102, 2603, 13, 1576, 2346, 674, ...

[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...

### Task Generate a SQL query to answer the following question: `Partnering of franco ferreiro had what tournament?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_11147852_1 ( "Owned since" text, Station text, "City of license/Market" text, "Channel TV ( D...

SELECT Tournament FROM table_2_14924949_12 WHERE "Partnering" ILIKE '%franco%ferreiro%'

[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 5618, 471, 278, 2407, 746, 278, 1570, 3088, 8360, 7358, 5318, 472, 278, 12115, 19906, 29973, 29952, 13, 13, 2277, 29937, 5470, 1102, 2603, 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...

[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...

### Task Generate a SQL query to answer the following question: `What was the record when the New York Knicks played at the Boston Garden?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_1245350_1 ( "Quattroporte IV" text, "Max Speed" text, Power text, "Pro...

SELECT Record FROM table_2_13821868_4 WHERE "Location" ILIKE '%boston%garden%' AND "Opponent" ILIKE '%new%york%knicks%'

[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 8809, 436, 2635, 756, 29871, 29896, 408, 278, 4723, 29973, 29952, 13, 13, 2277, 29937, 5470, 1102, 2603, 13, 1576, 2346, 674, 1065, 373, 263, ...

[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...

### Task Generate a SQL query to answer the following question: `Which date has 1 as the week?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_10015132_14 ( "No." numeric, Position text, Player text, "School/Club Team" text, Nationality text, "Years in To...

SELECT Date FROM table_2_15353223_2 WHERE "Week" = '1'

[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 5328, 1784, 10769, 892, 18195, 287, 515, 425, 791, 29973, 29952, 13, 13, 2277, 29937, 5470, 1102, 2603, 13, 1576, 2346, 674, 1065, 373, 263, ...

[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...

### Task Generate a SQL query to answer the following question: `How many players were drafted from laval?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_20170644_5 ( "Pick #" numeric, College text, "CFL Team" text, Position text, Player text ); CREATE TA...

SELECT COUNT("CFL Team") FROM table_1_20170644_5 WHERE "College" ILIKE '%Laval%'

[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 5618, 338, 278, 3001, 1353, 310, 3291, 411, 3109, 1135, 29871, 29946, 29929, 3291, 297, 29871, 29906, 29900, 29900, 29947, 29899, 29900, 29929, ...

[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...

### Task Generate a SQL query to answer the following question: `What is the total number of points with less than 49 points in 2008-09, and 46 points in 2006-07?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_11604804_5 ( Founded numeric, Color text, Nickn...

SELECT COUNT("Total Pts") FROM table_2_18226336_10 WHERE "2008–09 Pts" < '49' AND "2006–07 Pts" ILIKE '%46%'

[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 8809, 436, 4523, 29914, 6821, 431, 8583, 756, 263, 21595, 7200, 1135, 29871, 29896, 29953, 29973, 29952, 13, 13, 2277, 29937, 5470, 1102, 2603, ...

[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...

### Task Generate a SQL query to answer the following question: `Which School/Club Team has a Round larger than 16?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_1012730_1 ( Winnings text, Poles numeric, "Top 10" numeric, Wins numeric, "Avg. Start" text,...

SELECT "School/Club Team" FROM table_2_15093658_1 WHERE "Round" > '16'

[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 5618, 338, 278, 8158, 310, 3748, 29871, 29941, 29955, 29973, 29952, 13, 13, 2277, 29937, 5470, 1102, 2603, 13, 1576, 2346, 674, 1065, 373, 263...

[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...

### Task Generate a SQL query to answer the following question: `What is the score of game 37?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_11780179_1 ( Population numeric, "Area (km²)" numeric, "GDP (nominal)" text, "GDP per capita (nominal)" text, Cou...

SELECT Score FROM table_2_17599495_6 WHERE "Game" = '37'

[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 5618, 338, 278, 10513, 272, 411, 263, 3086, 537, 411, 9728, 29892, 322, 385, 382, 2608, 1061, 310, 17164, 20444, 29892, 322, 385, 382, 2608, ...

[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...

### Task Generate a SQL query to answer the following question: `What is the Elector with a Nationality with roman, and an Elevator of urban iv, and an Elevated with 1261, december 17?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_11963536_11 ( "Location Att...

SELECT Elector FROM table_2_12079744_1 WHERE "Nationality" ILIKE '%roman%' AND "Elevator" ILIKE '%urban%iv%' AND "Elevated" ILIKE '%1261,%december%17%'

[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 797, 607, 12720, 338, 922, 273, 29915, 29879, 3815, 1754, 701, 310, 7365, 728, 13707, 402, 20144, 29899, 29924, 332, 21155, 322, 13423, 830, 2...

[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...

### Task Generate a SQL query to answer the following question: `In which episode is Sean's team made up of Krishnan Guru-Murthy and Vic Reeves?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_23292220_3 ( "First broadcast" text, Scores text, "Seans team" te...

SELECT Episode FROM table_1_23292220_3 WHERE "Seans team" ILIKE '%Krishnan%Guru-Murthy%and%Vic%Reeves%'

[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 5618, 29871, 29906, 29900, 29900, 29929, 756, 4595, 2243, 314, 14743, 29879, 310, 29871, 29906, 29900, 29900, 29947, 29973, 29952, 13, 13, 2277, ...

[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...

### Task Generate a SQL query to answer the following question: `What 2009 has grand slam tournaments of 2008?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_12027364_1 ( "Womens singles" text, Year numeric, "Mixed doubles" text, "Womens doubles" text, "M...

SELECT 2009 FROM table_2_15746889_11 WHERE "2008" ILIKE '%grand%slam%tournaments%'

[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 5618, 338, 278, 2407, 310, 278, 3748, 373, 4723, 29871, 29896, 29941, 29973, 29952, 13, 13, 2277, 29937, 5470, 1102, 2603, 13, 1576, 2346, 674...

[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...

### Task Generate a SQL query to answer the following question: `What is the record of the game on week 13?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_12262182_2 ( Opponent text, Number numeric, Titles text, Defenses numeric, Name text ); CREATE TABLE...

SELECT Record FROM table_2_14942423_1 WHERE "Week" = '13'

[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 5618, 338, 278, 399, 3993, 29892, 746, 278, 17015, 338, 315, 2409, 1100, 29892, 12314, 29892, 322, 746, 278, 4712, 338, 3979, 29871, 29896, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...

### Task Generate a SQL query to answer the following question: `What is the Winner, when the Location is Clemson, SC, and when the Date is November 17, 2012?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_11621873_1 ( Score text, "1st Prize( $ )" numeric, ...

SELECT Winner FROM table_2_13113805_2 WHERE "Location" ILIKE '%clemson,%sc%' AND "Date" ILIKE '%november%17,%2012%'

[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 5618, 29915, 29879, 278, 4078, 746, 278, 6410, 471, 269, 3656, 4425, 313, 29906, 29994, 29906, 6877, 29952, 13, 13, 2277, 29937, 5470, 1102, 2...

[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...

### Task Generate a SQL query to answer the following question: `What's the save when the loss was santiago (2–2)?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_11658094_1 ( Enrollment numeric, Joined text, Institution text, Type text, Location text, Fo...

SELECT Save FROM table_2_11633481_5 WHERE "Loss" ILIKE '%santiago%(2–2)%'

[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 5618, 338, 4989, 2004, 8396, 279, 29915, 29879, 19604, 5839, 1353, 29973, 29952, 13, 13, 2277, 29937, 5470, 1102, 2603, 13, 1576, 2346, 674, 1...

[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...

### Task Generate a SQL query to answer the following question: `What is Graeme Bonar's lowest pick number?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_10023387_1 ( "Doubles W-L" text, "Total W-L" text, "Years Played" text, "Singles W-L" text ); CREATE ...

SELECT MIN("Pick #") FROM table_1_2850912_3 WHERE "Player" ILIKE '%Graeme%Bonar%'

[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 5618, 526, 278, 21614, 363, 278, 29871, 29955, 386, 2602, 29973, 29952, 13, 13, 2277, 29937, 5470, 1102, 2603, 13, 1576, 2346, 674, 1065, 373,...

[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...

### Task Generate a SQL query to answer the following question: `What are the wins for the 7th position?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_10577579_2 ( Type text, Enrollment numeric, Founded numeric, Institution text, "Mens Nickname" text, J...

SELECT Wins FROM table_1_27631002_1 WHERE "Position" ILIKE '%7th%'

[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 5618, 338, 278, 1274, 1617, 962, 363, 278, 4223, 1024, 14299, 10643, 322, 5722, 5996, 832, 12356, 29973, 29952, 13, 13, 2277, 29937, 5470, 110...

[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...

### Task Generate a SQL query to answer the following question: `What is the acronym for the English name Northern management and technological institute?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_11960944_11 ( Team text, "High points" text, Date text,...

SELECT Acronym FROM table_2_18144241_2 WHERE "Name in English" ILIKE '%northern%management%and%technological%institute%'

[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 3047, 278, 4665, 297, 29871, 29906, 29900, 29900, 29945, 310, 29871, 29945, 29955, 29906, 29892, 825, 338, 278, 4642, 1024, 29973, 29952, 13, 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...

[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...

### Task Generate a SQL query to answer the following question: `With the population in 2005 of 572, what is the former name?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_10921309_1 ( Export numeric, "Prim. energy" numeric, "CO 2 -emission" text, Electri...

SELECT "Former Name" FROM table_1_21302_1 WHERE "Population (2005)" = '572'

[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 5618, 338, 278, 1353, 9904, 297, 515, 363, 278, 7365, 434, 17344, 8502, 4103, 3395, 26748, 943, 29973, 29952, 13, 13, 2277, 29937, 5470, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...

### Task Generate a SQL query to answer the following question: `What is the number listed in from for the Krueppel Like Transcription Factors?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_26708105_2 ( "Conserved in Mus Musculus" text, "Detailed Family Inf...

SELECT MIN(FROM) FROM table_1_26708105_2 WHERE "Detailed Family Information" ILIKE '%Krueppel%like%transcription%factors%'

[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 1170, 278, 4665, 9027, 988, 4665, 1273, 338, 29871, 29896, 29889, 29896, 29995, 363, 25007, 557, 423, 29952, 13, 13, 2277, 29937, 5470, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...

### Task Generate a SQL query to answer the following question: `Name the population density where population % is 1.1% for slovakia` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_12001616_4 ( "Car Make" text, Laps numeric, Status text, Entrant text, Star...

SELECT "Pop. density People/km 2" FROM table_1_1606824_1 WHERE "Population % of EU" ILIKE '%1.1%%' AND "Member State" ILIKE '%Slovakia%'

[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 5618, 338, 278, 1024, 310, 263, 4423, 297, 20537, 423, 29973, 29952, 13, 13, 2277, 29937, 5470, 1102, 2603, 13, 1576, 2346, 674, 1065, 373, ...

[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...

### Task Generate a SQL query to answer the following question: `What is the name of a location in Nigeria?` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_11677100_15 ( Position text, Player text, Hometown text, School text, "MLB Draft" text ); CREATE TAB...

SELECT Name FROM table_2_1499203_1 WHERE "Location" ILIKE '%nigeria%'

[ 1, 835, 9330, 13, 5631, 403, 263, 3758, 2346, 304, 1234, 278, 1494, 1139, 29901, 13, 29952, 1170, 278, 29871, 29906, 29900, 29896, 29896, 363, 29871, 29906, 29900, 29896, 29900, 310, 15248, 293, 8090, 29952, 13, 13, 2277, 29937, 5470, 1...

[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...

### Task Generate a SQL query to answer the following question: `Name the 2011 for 2010 of olympic games` ### Database Schema The query will run on a database with the following schema: ``` CREATE TABLE table_1_12305325_4 ( "Craigs vote" text, "Lens vote" text, Week numeric, Safe text, Eliminated text, "Brunos v...

SELECT 2011 FROM table_2_12472200_7 WHERE "2010" ILIKE '%olympic%games%'

Datasets:

defog
/

wikisql_codellama_1000

Dataset Card for "wikisql_codellama_1000"