question string | answer string | context string | dialect string | spider_hardness string | extended_hardness string | classification_status string | syntax_status string | ddl_syntax_status string | schema_status string | syntax_errors list | ddl_syntax_errors list | schema_errors list | classification_errors list | status_history list | correction_status string | component1 int64 | component2 int64 | others int64 | validation_source dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Which opponent was played in Week 6? | SELECT opponent FROM table_name_26 WHERE week = 6 | CREATE TABLE table_name_26 (opponent VARCHAR, week VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 22985
} |
WhichScore has a Location Attendance of seattle center coliseum 11,497? | SELECT score FROM table_name_15 WHERE location_attendance = 'seattle center coliseum 11,497' | CREATE TABLE table_name_15 (score VARCHAR, location_attendance VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 22986
} |
Which Game has a Team of portland trail blazers? | SELECT AVG(game) FROM table_name_36 WHERE team = 'portland trail blazers' | CREATE TABLE table_name_36 (game INTEGER, team VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 22987
} |
Which game was played on march 2? | SELECT AVG(game) FROM table_name_4 WHERE date = 'march 2' | CREATE TABLE table_name_4 (game INTEGER, date VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 22988
} |
Which Game has High assists of s. threatt (9)? | SELECT MIN(game) FROM table_name_97 WHERE high_assists = 's. threatt (9)' | CREATE TABLE table_name_97 (game INTEGER, high_assists VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 22989
} |
Count the sum of Pop (2004) which has a Governorate of al mahrah with an Area km² smaller than 78,073? | SELECT SUM(pop__2004_) FROM table_name_15 WHERE governorate = 'al mahrah' AND area_km² < 78 OFFSET 073 | CREATE TABLE table_name_15 (pop__2004_ INTEGER, governorate VARCHAR, area_km² VARCHAR) | generic | null | medium | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported select options: offset"
] | [
"validated",
"extension_unchanged",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 22990
} |
what is the average top-5 when the cuts made is more than 34? | SELECT AVG(top_5) FROM table_name_1 WHERE cuts_made > 34 | CREATE TABLE table_name_1 (top_5 INTEGER, cuts_made INTEGER) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 23110
} |
What is the Record of the game on June 24? | SELECT record FROM table_name_23 WHERE date = 'june 24' | CREATE TABLE table_name_23 (record VARCHAR, date VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 23135
} |
What is the Date of the game with a Loss and Record of 7-9? | SELECT date FROM table_name_91 WHERE result = 'loss' AND record = '7-9' | CREATE TABLE table_name_91 (date VARCHAR, result VARCHAR, record VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 23136
} |
What is the Record on July 12? | SELECT record FROM table_name_10 WHERE date = 'july 12' | CREATE TABLE table_name_10 (record VARCHAR, date VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 23137
} |
What player has a total of 290 points? | SELECT player FROM table_name_46 WHERE total = 290 | CREATE TABLE table_name_46 (player VARCHAR, total VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 23138
} |
What is the year that Hale Irwin won with 285 points? | SELECT year_s__won FROM table_name_80 WHERE total = 285 AND player = 'hale irwin' | CREATE TABLE table_name_80 (year_s__won VARCHAR, total VARCHAR, player VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 23139
} |
WHAT IS THE WEEK WITH AN ATTENDANCE OF 75,555? | SELECT SUM(week) FROM table_name_23 WHERE attendance = '75,555' | CREATE TABLE table_name_23 (week INTEGER, attendance VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 23143
} |
WHAT IS THE RESULT WHEN THE OPPONENT WAS CHICAGO BEARS? | SELECT result FROM table_name_18 WHERE opponent = 'chicago bears' | CREATE TABLE table_name_18 (result VARCHAR, opponent VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 23144
} |
WHAT IS THE TV TIME WOTH A WEEK BIGGER THAN 15, WITH THE OAKLAND RAIDERS AS OPPONENT? | SELECT tv_time FROM table_name_33 WHERE week > 15 AND opponent = 'oakland raiders' | CREATE TABLE table_name_33 (tv_time VARCHAR, week VARCHAR, opponent VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 23145
} |
WHAT IS THE TV TIME FOR NOVEMBER 10, 1996? | SELECT tv_time FROM table_name_93 WHERE date = 'november 10, 1996' | CREATE TABLE table_name_93 (tv_time VARCHAR, date VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 23146
} |
What was the date for the match where Tweedie-Yates' partner was jodi kenoyer? | SELECT date FROM table_name_18 WHERE partner = 'jodi kenoyer' | CREATE TABLE table_name_18 (date VARCHAR, partner VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 23147
} |
Who were the opponents during the final when christina wheeler was partner? | SELECT opponents_in_the_final FROM table_name_87 WHERE partner = 'christina wheeler' | CREATE TABLE table_name_87 (opponents_in_the_final VARCHAR, partner VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 23148
} |
What is Country, when Total is less than 290, and when Year(s) Won is 1960? | SELECT country FROM table_name_29 WHERE total < 290 AND year_s__won = '1960' | CREATE TABLE table_name_29 (country VARCHAR, total VARCHAR, year_s__won VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 23149
} |
What is the total number of Total, when To Par is 12? | SELECT COUNT(total) FROM table_name_71 WHERE to_par = 12 | CREATE TABLE table_name_71 (total VARCHAR, to_par VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 23150
} |
Which TV season has Households (in millions) of 30.503 (34.9 rating)? | SELECT tv_season FROM table_name_80 WHERE households__in_millions_ = '30.503 (34.9 rating)' | CREATE TABLE table_name_80 (tv_season VARCHAR, households__in_millions_ VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 23167
} |
What is the total number of area listed for cannonvale with a population less than 409? | SELECT COUNT(area__km_2__) FROM table_name_96 WHERE population < 409 AND place = 'cannonvale' | CREATE TABLE table_name_96 (area__km_2__ VARCHAR, population VARCHAR, place VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 23168
} |
What is the lowest code number for the remainder of the municipality that has an area bigger than 15.34 squared kilometers, a population greater than 762 and a language of xhosa spoken? | SELECT MIN(code) FROM table_name_3 WHERE population > 762 AND most_spoken_language = 'xhosa' AND area__km_2__ > 15.34 AND place = 'remainder of the municipality' | CREATE TABLE table_name_3 (code INTEGER, place VARCHAR, area__km_2__ VARCHAR, population VARCHAR, most_spoken_language VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 23169
} |
What is the total code number for places with a population greater than 87,585? | SELECT COUNT(code) FROM table_name_41 WHERE population > 87 OFFSET 585 | CREATE TABLE table_name_41 (code VARCHAR, population INTEGER) | generic | null | easy | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported select options: offset"
] | [
"validated",
"extension_unchanged",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 23170
} |
What is the lowest area for cannonvale that speaks afrikaans? | SELECT MIN(area__km_2__) FROM table_name_31 WHERE most_spoken_language = 'afrikaans' AND place = 'cannonvale' | CREATE TABLE table_name_31 (area__km_2__ INTEGER, most_spoken_language VARCHAR, place VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 23171
} |
Which Score has a Location of richfield coliseum? | SELECT score FROM table_name_96 WHERE location = 'richfield coliseum' | CREATE TABLE table_name_96 (score VARCHAR, location VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 23172
} |
Where was game 78 held? | SELECT location FROM table_name_62 WHERE game = 78 | CREATE TABLE table_name_62 (location VARCHAR, game VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 23173
} |
When was the score 56-26? | SELECT date FROM table_name_2 WHERE record = '56-26' | CREATE TABLE table_name_2 (date VARCHAR, record VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 23174
} |
Which Opponent has a Score of 92-111? | SELECT opponent FROM table_name_44 WHERE score = '92-111' | CREATE TABLE table_name_44 (opponent VARCHAR, score VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 23175
} |
What was the Opponent when the Cavaliers had a Record of 3-9? | SELECT opponent FROM table_name_10 WHERE record = '3-9' | CREATE TABLE table_name_10 (opponent VARCHAR, record VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 23176
} |
On what Date was the Score 105-128? | SELECT date FROM table_name_14 WHERE score = '105-128' | CREATE TABLE table_name_14 (date VARCHAR, score VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 23177
} |
What is the Opponent of the game with a H/A/N of H and Score of 120-99? | SELECT opponent FROM table_name_89 WHERE h_a_n = 'h' AND score = '120-99' | CREATE TABLE table_name_89 (opponent VARCHAR, h_a_n VARCHAR, score VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 23178
} |
On what Date was the Score 106-104 against the Portland Trail Blazers? | SELECT date FROM table_name_30 WHERE opponent = 'portland trail blazers' AND score = '106-104' | CREATE TABLE table_name_30 (date VARCHAR, opponent VARCHAR, score VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 23179
} |
On what Date was the Score 105-118 and the H/A/N A? | SELECT date FROM table_name_80 WHERE h_a_n = 'a' AND score = '105-118' | CREATE TABLE table_name_80 (date VARCHAR, h_a_n VARCHAR, score VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 23180
} |
Which Selection has a College of texas a&m? | SELECT SUM(selection) FROM table_name_71 WHERE college = 'texas a&m' | CREATE TABLE table_name_71 (selection INTEGER, college VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 23181
} |
Which Selection has a Player of jamaar taylor, and a Round larger than 6? | SELECT MIN(selection) FROM table_name_33 WHERE player = 'jamaar taylor' AND round > 6 | CREATE TABLE table_name_33 (selection INTEGER, player VARCHAR, round VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 23182
} |
How many total golds do teams have when the total medals is less than 1? | SELECT SUM(gold) FROM table_name_79 WHERE total < 1 | CREATE TABLE table_name_79 (gold INTEGER, total INTEGER) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 23279
} |
How many starts for an average finish greater than 43? | SELECT SUM(starts) FROM table_name_54 WHERE avg_finish > 43 | CREATE TABLE table_name_54 (starts INTEGER, avg_finish INTEGER) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 23303
} |
What average wheels has accounting as the type, with IBM Collection as the location? | SELECT AVG(wheels) FROM table_name_71 WHERE type = 'accounting' AND location = 'ibm collection' | CREATE TABLE table_name_71 (wheels INTEGER, type VARCHAR, location VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 23441
} |
What is the configuration for the country France, with accounting as the type, and wheels greater than 6? | SELECT configuration FROM table_name_25 WHERE country = 'france' AND type = 'accounting' AND wheels > 6 | CREATE TABLE table_name_25 (configuration VARCHAR, wheels VARCHAR, country VARCHAR, type VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 23442
} |
Which NFL team has a pick# less than 200 for Travis Davis? | SELECT nfl_team FROM table_name_23 WHERE pick__number < 200 AND player = 'travis davis' | CREATE TABLE table_name_23 (nfl_team VARCHAR, pick__number VARCHAR, player VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 23443
} |
Which player was a running back from San Jose State? | SELECT player FROM table_name_94 WHERE position = 'running back' AND college = 'san jose state' | CREATE TABLE table_name_94 (player VARCHAR, position VARCHAR, college VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 23444
} |
Can you tell me the Score that has the Result of win, and the Date of 13 november 2009? | SELECT score FROM table_name_62 WHERE result = 'win' AND date = '13 november 2009' | CREATE TABLE table_name_62 (score VARCHAR, result VARCHAR, date VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 23448
} |
Can you tell me the lowest Cap Number that has the Date of 8 february 2009, and the Shirt Number larger than 19? | SELECT MIN(cap_number) FROM table_name_96 WHERE date = '8 february 2009' AND shirt_number > 19 | CREATE TABLE table_name_96 (cap_number INTEGER, date VARCHAR, shirt_number VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 23449
} |
Which Points have a Position larger than 6, and a Lost smaller than 13? | SELECT AVG(points) FROM table_name_98 WHERE position > 6 AND lost < 13 | CREATE TABLE table_name_98 (points INTEGER, position VARCHAR, lost VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 23450
} |
How much Drawn has a Lost of 2, and Played smaller than 14? | SELECT SUM(drawn) FROM table_name_46 WHERE lost = 2 AND played < 14 | CREATE TABLE table_name_46 (drawn INTEGER, lost VARCHAR, played VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 23451
} |
Which Points is the highest one that has a Drawn smaller than 2, and a Name of esc holzkirchen, and Played smaller than 14? | SELECT MAX(points) FROM table_name_91 WHERE drawn < 2 AND name = 'esc holzkirchen' AND played < 14 | CREATE TABLE table_name_91 (points INTEGER, played VARCHAR, drawn VARCHAR, name VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 23452
} |
Which Lost is the lowest one that has a Name of esc holzkirchen, and Played smaller than 14? | SELECT MIN(lost) FROM table_name_79 WHERE name = 'esc holzkirchen' AND played < 14 | CREATE TABLE table_name_79 (lost INTEGER, name VARCHAR, played VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 23453
} |
What is the lowest numbered episode that had a rating/share of 0.9/4 and more than 3.79 million viewers? | SELECT MIN(episode__number) FROM table_name_89 WHERE rating / SHARE(18 AS –49) = 0.9 / 4 AND viewers__millions_ > 3.79 | CREATE TABLE table_name_89 (episode__number INTEGER, viewers__millions_ VARCHAR, rating VARCHAR) | generic | null | medium | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported column expression: SHARE(18 AS –49)"
] | [
"validated",
"extension_unchanged",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 23454
} |
What is the average number of million viewers that watched an episode before episode 11 with a share of 4? | SELECT AVG(viewers__millions_) FROM table_name_28 WHERE episode__number < 11 AND share = '4' | CREATE TABLE table_name_28 (viewers__millions_ INTEGER, episode__number VARCHAR, share VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 23455
} |
What is the previous team of the player with 4 NBA years and a pick less than 16? | SELECT previous_team FROM table_name_12 WHERE nba_years_[a_] = '4' AND pick < 16 | CREATE TABLE table_name_12 (previous_team VARCHAR, pick VARCHAR, nba_years_ VARCHAR, a_ VARCHAR) | generic | null | medium | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported column expression: nba_years_[a_]"
] | [
"validated",
"extension_unchanged",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 23489
} |
How many NBA years did the player from the United States who was previously on the los angeles lakers have? | SELECT nba_years_[a_] FROM table_name_58 WHERE nationality = 'united states' AND previous_team = 'los angeles lakers' | CREATE TABLE table_name_58 (nba_years_ VARCHAR, a_ VARCHAR, nationality VARCHAR, previous_team VARCHAR) | generic | null | medium | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported column expression: nba_years_[a_]"
] | [
"validated",
"extension_unchanged",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 23490
} |
What tournament did Nadal win and had a nadal of 16? | SELECT tournament FROM table_name_75 WHERE winner = 'nadal' AND 'nadal' = 16 | CREATE TABLE table_name_75 (tournament VARCHAR, winner VARCHAR) | generic | null | medium | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported column expression: 'nadal'"
] | [
"validated",
"extension_unchanged",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 23491
} |
What was the nadal in Miami in the final round? | SELECT MAX(nadal) FROM table_name_55 WHERE round = 'final' AND tournament = 'miami' | CREATE TABLE table_name_55 (nadal INTEGER, round VARCHAR, tournament VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 23492
} |
What were the sets when Federer had 6 and a nadal of 13? | SELECT sets FROM table_name_95 WHERE nadal = 13 AND federer = 6 | CREATE TABLE table_name_95 (sets VARCHAR, nadal VARCHAR, federer VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 23493
} |
Which college had an overall pick of 9? | SELECT college FROM table_name_31 WHERE overall = 9 | CREATE TABLE table_name_31 (college VARCHAR, overall VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 23494
} |
What source of wealth has a value of £5726m? | SELECT source_of_wealth FROM table_name_51 WHERE value = '£5726m' | CREATE TABLE table_name_51 (source_of_wealth VARCHAR, value VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 23495
} |
What is the highest Game, when Opponents is less than 80, and when Record is "1-0"? | SELECT MAX(game) FROM table_name_98 WHERE opponents < 80 AND record = '1-0' | CREATE TABLE table_name_98 (game INTEGER, opponents VARCHAR, record VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 23496
} |
What is Result, when Date is "December 12"? | SELECT result FROM table_name_70 WHERE date = 'december 12' | CREATE TABLE table_name_70 (result VARCHAR, date VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 23497
} |
What is Streak, when Heat Points is "101", and when Game is "16"? | SELECT streak FROM table_name_12 WHERE heat_points = 101 AND game = 16 | CREATE TABLE table_name_12 (streak VARCHAR, heat_points VARCHAR, game VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 23498
} |
What is Heat Points, when Game is less than 80, and when Date is "April 26 (First Round)"? | SELECT heat_points FROM table_name_11 WHERE game < 80 AND date = 'april 26 (first round)' | CREATE TABLE table_name_11 (heat_points VARCHAR, game VARCHAR, date VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 23499
} |
What is the average Heat Points, when Result is "Loss", when Game is greater than 72, and when Date is "April 21"? | SELECT AVG(heat_points) FROM table_name_83 WHERE result = 'loss' AND game > 72 AND date = 'april 21' | CREATE TABLE table_name_83 (heat_points INTEGER, date VARCHAR, result VARCHAR, game VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 23500
} |
What was the attendance for week 2? | SELECT attendance FROM table_name_39 WHERE week = 2 | CREATE TABLE table_name_39 (attendance VARCHAR, week VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 23501
} |
What was the attendance when the Cincinnati Bengals were the opponents? | SELECT attendance FROM table_name_79 WHERE opponent = 'cincinnati bengals' | CREATE TABLE table_name_79 (attendance VARCHAR, opponent VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 23502
} |
What country had a paste publication in 2009? | SELECT country FROM table_name_9 WHERE year = 2009 AND publication = 'paste' | CREATE TABLE table_name_9 (country VARCHAR, year VARCHAR, publication VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 23503
} |
What was the lowest rank after 2009 with an accolade of 125 best albums of the past 25 years? | SELECT MIN(rank) FROM table_name_79 WHERE year > 2009 AND accolade = '125 best albums of the past 25 years' | CREATE TABLE table_name_79 (rank INTEGER, year VARCHAR, accolade VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 23504
} |
WHAT IS THE DATE WITH BOSTON ROAD TEAM AND 126-105 RESULT? | SELECT date FROM table_name_86 WHERE road_team = 'boston' AND result = '126-105' | CREATE TABLE table_name_86 (date VARCHAR, road_team VARCHAR, result VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 23521
} |
WHAT GAME HAD A SCORE OF 99-112? | SELECT game FROM table_name_30 WHERE result = '99-112' | CREATE TABLE table_name_30 (game VARCHAR, result VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 23522
} |
WHAT IS THE RESULT OF THE GAME ON APRIL 23? | SELECT result FROM table_name_60 WHERE date = 'april 23' | CREATE TABLE table_name_60 (result VARCHAR, date VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 23523
} |
WHAT IS THE RESULT WITH THE BOSTON ROAD TEAM, ON APRIL 23? | SELECT result FROM table_name_68 WHERE road_team = 'boston' AND date = 'april 23' | CREATE TABLE table_name_68 (result VARCHAR, road_team VARCHAR, date VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 23524
} |
WHAT IS THE HOME TEAM, RESULT 99-112? | SELECT home_team FROM table_name_21 WHERE result = '99-112' | CREATE TABLE table_name_21 (home_team VARCHAR, result VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 23525
} |
What is Brown's transfer window? | SELECT transfer_window FROM table_name_52 WHERE name = 'brown' | CREATE TABLE table_name_52 (transfer_window VARCHAR, name VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 23526
} |
What is the transfer window with a status of transfer from the country of Wal? | SELECT transfer_window FROM table_name_65 WHERE status = 'transfer' AND country = 'wal' | CREATE TABLE table_name_65 (transfer_window VARCHAR, status VARCHAR, country VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 23527
} |
What is the status of the Eng Country from the Maynard name? | SELECT status FROM table_name_28 WHERE country = 'eng' AND name = 'maynard' | CREATE TABLE table_name_28 (status VARCHAR, country VARCHAR, name VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 23528
} |
What is the name of the free transfer fee with a transfer status and an ENG country? | SELECT name FROM table_name_31 WHERE transfer_fee = 'free' AND status = 'transfer' AND country = 'eng' | CREATE TABLE table_name_31 (name VARCHAR, country VARCHAR, transfer_fee VARCHAR, status VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 23529
} |
What is the status of the ENG Country with the name of Farquharson? | SELECT status FROM table_name_79 WHERE country = 'eng' AND name = 'farquharson' | CREATE TABLE table_name_79 (status VARCHAR, country VARCHAR, name VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 23530
} |
What is Left Office, when Took Office is 2006? | SELECT left_office FROM table_name_82 WHERE took_office = '2006' | CREATE TABLE table_name_82 (left_office VARCHAR, took_office VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 23531
} |
What is Left Office, when Party is Vacant (1999-2001)? | SELECT left_office FROM table_name_83 WHERE party = 'vacant (1999-2001)' | CREATE TABLE table_name_83 (left_office VARCHAR, party VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 23532
} |
What is Name, when President is Khamtai Siphandon, and when Left Office is 1999? | SELECT name FROM table_name_66 WHERE president = 'khamtai siphandon' AND left_office = '1999' | CREATE TABLE table_name_66 (name VARCHAR, president VARCHAR, left_office VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 23533
} |
What is Party, when Name is Oudom Khattigna? | SELECT party FROM table_name_8 WHERE name = 'oudom khattigna' | CREATE TABLE table_name_8 (party VARCHAR, name VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 23534
} |
What is Party, when Took Office is 1998? | SELECT party FROM table_name_14 WHERE took_office = '1998' | CREATE TABLE table_name_14 (party VARCHAR, took_office VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 23535
} |
What is Left Office, when Took Office is 1998? | SELECT left_office FROM table_name_25 WHERE took_office = '1998' | CREATE TABLE table_name_25 (left_office VARCHAR, took_office VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 23536
} |
How many Placings have Points smaller than 330.84, and a Name of silvo svajger? | SELECT COUNT(placings) FROM table_name_1 WHERE points < 330.84 AND name = 'silvo svajger' | CREATE TABLE table_name_1 (placings VARCHAR, points VARCHAR, name VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 23585
} |
Which Placings have a Nation of west germany, and Points larger than 303.72? | SELECT SUM(placings) FROM table_name_31 WHERE nation = 'west germany' AND points > 303.72 | CREATE TABLE table_name_31 (placings INTEGER, nation VARCHAR, points VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 23586
} |
Which Nation has Points of 300.38? | SELECT nation FROM table_name_90 WHERE points = 300.38 | CREATE TABLE table_name_90 (nation VARCHAR, points VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 23587
} |
Which player finished at +10? | SELECT player FROM table_name_57 WHERE to_par = '+10' | CREATE TABLE table_name_57 (player VARCHAR, to_par VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 23588
} |
Who is the opponent before game 5 with a 0-1-0 record? | SELECT opponent FROM table_name_31 WHERE game < 5 AND record = '0-1-0' | CREATE TABLE table_name_31 (opponent VARCHAR, game VARCHAR, record VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 23589
} |
What is the score for the opponent Vancouver Canucks? | SELECT score FROM table_name_23 WHERE opponent = 'vancouver canucks' | CREATE TABLE table_name_23 (score VARCHAR, opponent VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 23590
} |
What date is the record 4-3-0? | SELECT date FROM table_name_94 WHERE record = '4-3-0' | CREATE TABLE table_name_94 (date VARCHAR, record VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 23591
} |
What is the fleet number with a 4-6-0 wheel arrangement made in 1890? | SELECT fleet_number_s_ FROM table_name_94 WHERE wheel_arrangement = '4-6-0' AND year_made = '1890' | CREATE TABLE table_name_94 (fleet_number_s_ VARCHAR, wheel_arrangement VARCHAR, year_made VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 23592
} |
What is the wheel arrangement made in 1890? | SELECT wheel_arrangement FROM table_name_99 WHERE year_made = '1890' | CREATE TABLE table_name_99 (wheel_arrangement VARCHAR, year_made VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 23593
} |
What is the quantity preserved of the e-1 class? | SELECT quantity_preserved FROM table_name_17 WHERE class = 'e-1' | CREATE TABLE table_name_17 (quantity_preserved VARCHAR, class VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 23594
} |
What is the wheel arrangement with 1 quantity preserved? | SELECT wheel_arrangement FROM table_name_1 WHERE quantity_preserved = '1' | CREATE TABLE table_name_1 (wheel_arrangement VARCHAR, quantity_preserved VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 23595
} |
What is the quantity made of the e-22 class, which has a quantity preserved of 0? | SELECT quantity_made FROM table_name_36 WHERE quantity_preserved = '0' AND class = 'e-22' | CREATE TABLE table_name_36 (quantity_made VARCHAR, quantity_preserved VARCHAR, class VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 23596
} |
What is the sum of Total, when Rank is 8, and when Bronze is less than 1? | SELECT SUM(total) FROM table_name_95 WHERE rank = '8' AND bronze < 1 | CREATE TABLE table_name_95 (total INTEGER, rank VARCHAR, bronze VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 23597
} |
What is the lowest Bronze, when Gold is less than 0? | SELECT MIN(bronze) FROM table_name_58 WHERE gold < 0 | CREATE TABLE table_name_58 (bronze INTEGER, gold INTEGER) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 23598
} |
What is the average Bronze, when Total is 7, and when Silver is greater than 1? | SELECT AVG(bronze) FROM table_name_23 WHERE total = 7 AND silver > 1 | CREATE TABLE table_name_23 (bronze INTEGER, total VARCHAR, silver VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 23599
} |
What is the sum of Total, when Silver is 0, and when Gold is 1? | SELECT SUM(total) FROM table_name_72 WHERE silver = 0 AND gold = 1 | CREATE TABLE table_name_72 (total INTEGER, silver VARCHAR, gold VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 23600
} |
What top round has a pick smaller than 2? | SELECT MAX(round) FROM table_name_7 WHERE pick < 2 | CREATE TABLE table_name_7 (round INTEGER, pick INTEGER) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 23651
} |
What is Gold, when Silver is 5, and when Nation is Belgium? | SELECT gold FROM table_name_91 WHERE silver = '5' AND nation = 'belgium' | CREATE TABLE table_name_91 (gold VARCHAR, silver VARCHAR, nation VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 23665
} |
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