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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
What was the method of resolution for the fight against dale hartt? | SELECT method FROM table_name_83 WHERE opponent = 'dale hartt' | CREATE TABLE table_name_83 (method VARCHAR(255), opponent VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24046
} |
Which phase is for the Matchday 4 Round? | SELECT phase FROM table_name_72 WHERE round = 'matchday 4' | CREATE TABLE table_name_72 (phase VARCHAR(255), round VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24047
} |
what is the mountain range when the state is colorado, rank is higher than 90 and mountain peak is whetstone mountain? | SELECT mountain_range FROM table_name_28 WHERE state = 'colorado' AND rank > 90 AND mountain_peak = 'whetstone mountain' | CREATE TABLE table_name_28 (mountain_range VARCHAR(255), mountain_peak VARCHAR(255), state VARCHAR(255), rank VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24048
} |
what is the mountain peak when the location is 37.5775°n 105.4856°w? | SELECT mountain_peak FROM table_name_73 WHERE location = '37.5775°n 105.4856°w' | CREATE TABLE table_name_73 (mountain_peak VARCHAR(255), location VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24049
} |
what is the mountain range when the mountain peak is mauna kea? | SELECT mountain_range FROM table_name_50 WHERE mountain_peak = 'mauna kea' | CREATE TABLE table_name_50 (mountain_range VARCHAR(255), mountain_peak VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24050
} |
what is the rank when the state is colorado and the location is 37.7859°n 107.7039°w? | SELECT SUM(rank) FROM table_name_21 WHERE state = 'colorado' AND location = '37.7859°n 107.7039°w' | CREATE TABLE table_name_21 (rank INTEGER, state VARCHAR(255), location VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24051
} |
What is the number of people in attendance when the time is 3:00? | SELECT attendance FROM table_name_82 WHERE time = '3:00' | CREATE TABLE table_name_82 (attendance VARCHAR(255), time VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24052
} |
What was the score at Tiger Stadium on October 12? | SELECT score FROM table_name_14 WHERE location = 'tiger stadium' AND date = 'october 12' | CREATE TABLE table_name_14 (score VARCHAR(255), location VARCHAR(255), date VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24053
} |
What is the number of people in attendance at Oakland-Alameda County Coliseum, and game is 2? | SELECT SUM(attendance) FROM table_name_83 WHERE location = 'oakland-alameda county coliseum' AND game = 2 | CREATE TABLE table_name_83 (attendance INTEGER, location VARCHAR(255), game VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24054
} |
Who had the most assists in the game against Atlanta? | SELECT high_assists FROM table_name_13 WHERE team = 'atlanta' | CREATE TABLE table_name_13 (high_assists VARCHAR(255), team VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24055
} |
What team with a goals conceded smaller than 25, and a place smaller than 3? | SELECT team FROM table_name_81 WHERE goals_conceded < 25 AND place < 3 | CREATE TABLE table_name_81 (team VARCHAR(255), goals_conceded VARCHAR(255), place VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24057
} |
What is the sum of draw with a lost smaller than 6, and a place of 5, and a goals scored less than 29? | SELECT SUM(draw) FROM table_name_90 WHERE lost < 6 AND place = 5 AND goals_scored < 29 | CREATE TABLE table_name_90 (draw INTEGER, goals_scored VARCHAR(255), lost VARCHAR(255), place VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24058
} |
What is the total number for a place with points smaller than 12? | SELECT COUNT(place) FROM table_name_70 WHERE points < 12 | CREATE TABLE table_name_70 (place VARCHAR(255), points INTEGER) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24059
} |
What is Place, when Country is "United States", and when Player is "Lee Trevino"? | SELECT place FROM table_name_41 WHERE country = 'united states' AND player = 'lee trevino' | CREATE TABLE table_name_41 (place VARCHAR(255), country VARCHAR(255), player VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24060
} |
What is the total number of Score, when Country is "United States", and when Player is "Lee Trevino"? | SELECT COUNT(score) FROM table_name_75 WHERE country = 'united states' AND player = 'lee trevino' | CREATE TABLE table_name_75 (score VARCHAR(255), country VARCHAR(255), player VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24061
} |
What is To Par, when Place is "T9", and when Player is "Lee Trevino"? | SELECT to_par FROM table_name_23 WHERE place = 't9' AND player = 'lee trevino' | CREATE TABLE table_name_23 (to_par VARCHAR(255), place VARCHAR(255), player VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24062
} |
What is the Country, when Place is T6, and when Player is "Raymond Floyd"? | SELECT country FROM table_name_3 WHERE place = 't6' AND player = 'raymond floyd' | CREATE TABLE table_name_3 (country VARCHAR(255), place VARCHAR(255), player VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24063
} |
What were the years for Seasons in CSL when they played in the Guiyang Olympic Sports Center and had Top Division Titles (Overall) of 0? | SELECT seasons_in_csl FROM table_name_15 WHERE top_division_titles__overall_ = 0 AND home_stadium = 'guiyang olympic sports center' | CREATE TABLE table_name_15 (seasons_in_csl VARCHAR(255), top_division_titles__overall_ VARCHAR(255), home_stadium VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24064
} |
What is To Par, when Place is "T5", and when Country is "United States"? | SELECT to_par FROM table_name_18 WHERE place = 't5' AND country = 'united states' | CREATE TABLE table_name_18 (to_par VARCHAR(255), place VARCHAR(255), country VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24065
} |
What is Score, when Country is "United States", and when To Par is "+4"? | SELECT score FROM table_name_56 WHERE country = 'united states' AND to_par = '+4' | CREATE TABLE table_name_56 (score VARCHAR(255), country VARCHAR(255), to_par VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24066
} |
What is Player, when Score is "66-74-76=216"? | SELECT player FROM table_name_48 WHERE score = 66 - 74 - 76 = 216 | CREATE TABLE table_name_48 (player VARCHAR(255), score VARCHAR(255)) | generic | null | easy | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported column expression: score = 66 - 74 - 76"
] | [
"validated",
"extended",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 24067
} |
What is Country, when Place is "T9", and when Player is "Michael Campbell"? | SELECT country FROM table_name_1 WHERE place = 't9' AND player = 'michael campbell' | CREATE TABLE table_name_1 (country VARCHAR(255), place VARCHAR(255), player VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24068
} |
What is Player, when Country is "England", and when Place is "T7"? | SELECT player FROM table_name_50 WHERE country = 'england' AND place = 't7' | CREATE TABLE table_name_50 (player VARCHAR(255), country VARCHAR(255), place VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24069
} |
What is Player, when Place is "1"? | SELECT player FROM table_name_70 WHERE place = '1' | CREATE TABLE table_name_70 (player VARCHAR(255), place VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24070
} |
What is the total of Mark O'meara? | SELECT MIN(total) FROM table_name_88 WHERE player = 'mark o''meara' | CREATE TABLE table_name_88 (total INTEGER, player VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24071
} |
What is the total for Bernhard Langer? | SELECT COUNT(total) FROM table_name_83 WHERE player = 'bernhard langer' | CREATE TABLE table_name_83 (total VARCHAR(255), player VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24072
} |
Which player has +2 to par? | SELECT player FROM table_name_45 WHERE to_par = '+2' | CREATE TABLE table_name_45 (player VARCHAR(255), to_par VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24073
} |
Which country has a finish of t22? | SELECT country FROM table_name_87 WHERE finish = 't22' | CREATE TABLE table_name_87 (country VARCHAR(255), finish VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24074
} |
Which player has a total of more than 290 and +4 to par. | SELECT player FROM table_name_29 WHERE total > 290 AND to_par = '+4' | CREATE TABLE table_name_29 (player VARCHAR(255), total VARCHAR(255), to_par VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24075
} |
What is the number of gold medals when the number of bronze medals is 8? | SELECT gold FROM table_name_88 WHERE bronze = '8' | CREATE TABLE table_name_88 (gold VARCHAR(255), bronze VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24076
} |
What rank is the nation that has a bronze of source: Maltese Olympic Committee? | SELECT rank FROM table_name_29 WHERE bronze = 'source: maltese olympic committee' | CREATE TABLE table_name_29 (rank VARCHAR(255), bronze VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24077
} |
What rank is the nation with 2 silver medals? | SELECT rank FROM table_name_44 WHERE silver = '2' | CREATE TABLE table_name_44 (rank VARCHAR(255), silver VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24078
} |
What is the total medal count for the nation that has 5 gold? | SELECT total FROM table_name_91 WHERE gold = '5' | CREATE TABLE table_name_91 (total VARCHAR(255), gold VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24079
} |
How many bronze medals does the nation ranked number 1 have? | SELECT bronze FROM table_name_80 WHERE rank = '1' | CREATE TABLE table_name_80 (bronze VARCHAR(255), rank VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24080
} |
What nation has 28 bronze medals? | SELECT nation FROM table_name_63 WHERE bronze = '28' | CREATE TABLE table_name_63 (nation VARCHAR(255), bronze VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24081
} |
What is the result for the game on May 27, 2006? | SELECT result FROM table_name_19 WHERE date = 'may 27, 2006' | CREATE TABLE table_name_19 (result VARCHAR(255), date VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24098
} |
What is the Game site week 1? | SELECT game_site FROM table_name_20 WHERE week = 1 | CREATE TABLE table_name_20 (game_site VARCHAR(255), week VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24099
} |
What was the highest Tie no when the home team was the Bolton Wanderers, and the date was Middlesbrough? | SELECT MAX(tie_no) FROM table_name_45 WHERE home_team = 'bolton wanderers' AND date = 'middlesbrough' | CREATE TABLE table_name_45 (tie_no INTEGER, home_team VARCHAR(255), date VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24100
} |
What is the average Tie no when the date is Birmingham City? | SELECT AVG(tie_no) FROM table_name_22 WHERE date = 'birmingham city' | CREATE TABLE table_name_22 (tie_no INTEGER, date VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24101
} |
What was the Tie no when then home team was Stoke City for the game played on 9 February 1946? | SELECT tie_no FROM table_name_19 WHERE home_team = 'stoke city' AND date = '9 february 1946' | CREATE TABLE table_name_19 (tie_no VARCHAR(255), home_team VARCHAR(255), date VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24102
} |
How many attended the game with an opponent of bye? | SELECT attendance FROM table_name_72 WHERE opponent = 'bye' | CREATE TABLE table_name_72 (attendance VARCHAR(255), opponent VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24103
} |
Which opponent had 73,428 in attendance? | SELECT opponent FROM table_name_32 WHERE attendance = '73,428' | CREATE TABLE table_name_32 (opponent VARCHAR(255), attendance VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24104
} |
What was the attendance of the Oakland Raiders game? | SELECT attendance FROM table_name_34 WHERE opponent = 'oakland raiders' | CREATE TABLE table_name_34 (attendance VARCHAR(255), opponent VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24105
} |
What is the streak for game 2? | SELECT streak FROM table_name_6 WHERE game = '2' | CREATE TABLE table_name_6 (streak VARCHAR(255), game VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24106
} |
Which Date has a Game of game 3? | SELECT date FROM table_name_90 WHERE game = 'game 3' | CREATE TABLE table_name_90 (date VARCHAR(255), game VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24107
} |
Which Home Team has a Road Team of rochester, and a Result of 71-78? | SELECT home_team FROM table_name_97 WHERE road_team = 'rochester' AND result = '71-78' | CREATE TABLE table_name_97 (home_team VARCHAR(255), road_team VARCHAR(255), result VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24108
} |
Which Result has a Home Team of rochester, and a Game of game 5? | SELECT result FROM table_name_99 WHERE home_team = 'rochester' AND game = 'game 5' | CREATE TABLE table_name_99 (result VARCHAR(255), home_team VARCHAR(255), game VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24109
} |
Which Road Team has a Home Team of rochester, and a Game of game 2? | SELECT road_team FROM table_name_61 WHERE home_team = 'rochester' AND game = 'game 2' | CREATE TABLE table_name_61 (road_team VARCHAR(255), home_team VARCHAR(255), game VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24110
} |
Which Road Team has a Home Team of rochester, and a Result of 89-92? | SELECT road_team FROM table_name_9 WHERE home_team = 'rochester' AND result = '89-92' | CREATE TABLE table_name_9 (road_team VARCHAR(255), home_team VARCHAR(255), result VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24111
} |
Which Date has a Road Team of new york, and a Result of 79-75? | SELECT date FROM table_name_42 WHERE road_team = 'new york' AND result = '79-75' | CREATE TABLE table_name_42 (date VARCHAR(255), road_team VARCHAR(255), result VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24112
} |
What was the highest assists for game 3? | SELECT high_assists FROM table_name_7 WHERE game = 3 | CREATE TABLE table_name_7 (high_assists VARCHAR(255), game VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24113
} |
What country is player ed sneed, who has a to par of +3, from? | SELECT country FROM table_name_70 WHERE to_par = '+3' AND player = 'ed sneed' | CREATE TABLE table_name_70 (country VARCHAR(255), to_par VARCHAR(255), player VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24114
} |
What is the to par of player ed sneed, who has a t5 place? | SELECT to_par FROM table_name_45 WHERE place = 't5' AND player = 'ed sneed' | CREATE TABLE table_name_45 (to_par VARCHAR(255), place VARCHAR(255), player VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24115
} |
Who is the player with a 70-75=145 score? | SELECT player FROM table_name_62 WHERE score = 70 - 75 = 145 | CREATE TABLE table_name_62 (player VARCHAR(255), score VARCHAR(255)) | generic | null | easy | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported column expression: score = 70 - 75"
] | [
"validated",
"extended",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 24116
} |
What is the to par of player tom weiskopf, who has a 71-74=145 score? | SELECT to_par FROM table_name_60 WHERE score = 71 - 74 = 145 AND player = 'tom weiskopf' | CREATE TABLE table_name_60 (to_par VARCHAR(255), player VARCHAR(255), score VARCHAR(255)) | generic | null | medium | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported column expression: score = 71 - 74"
] | [
"validated",
"extended",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 24117
} |
Who is the player with a t5 place and a 75-70=145 score? | SELECT player FROM table_name_47 WHERE place = 't5' AND score = 75 - 70 = 145 | CREATE TABLE table_name_47 (player VARCHAR(255), place VARCHAR(255), score VARCHAR(255)) | generic | null | medium | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported column expression: score = 75 - 70"
] | [
"validated",
"extended",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 24118
} |
What is the country of player ed sneed with a to par of +3? | SELECT country FROM table_name_15 WHERE to_par = '+3' AND player = 'ed sneed' | CREATE TABLE table_name_15 (country VARCHAR(255), to_par VARCHAR(255), player VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24119
} |
What is the Score of the game with a Record of 31–37–9? | SELECT score FROM table_name_3 WHERE record = '31–37–9' | CREATE TABLE table_name_3 (score VARCHAR(255), record VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24120
} |
What is the Score of the Pittsburgh Home game on March 3 with 61 Points? | SELECT score FROM table_name_18 WHERE home = 'pittsburgh' AND points = 61 AND date = 'march 3' | CREATE TABLE table_name_18 (score VARCHAR(255), date VARCHAR(255), home VARCHAR(255), points VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24121
} |
What is the Date of the game in Vancouver? | SELECT date FROM table_name_9 WHERE home = 'vancouver' | CREATE TABLE table_name_9 (date VARCHAR(255), home VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24122
} |
Which Run 4 has Athletes of alexandru frimu & costel rădulescu? | SELECT run_4 FROM table_name_37 WHERE athletes = 'alexandru frimu & costel rădulescu' | CREATE TABLE table_name_37 (run_4 VARCHAR(255), athletes VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24123
} |
Which Final has a Team of liechtenstein (lie) liechtenstein i? | SELECT final FROM table_name_55 WHERE team = 'liechtenstein (lie) liechtenstein i' | CREATE TABLE table_name_55 (final VARCHAR(255), team VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24124
} |
Which Run 2 has a Run 1 of 1:30.03? | SELECT run_2 FROM table_name_29 WHERE run_1 = '1:30.03' | CREATE TABLE table_name_29 (run_2 VARCHAR(255), run_1 VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24125
} |
Which Run 4 has a Run 3 of 1:26.63? | SELECT run_4 FROM table_name_53 WHERE run_3 = '1:26.63' | CREATE TABLE table_name_53 (run_4 VARCHAR(255), run_3 VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24126
} |
Which Run 4 has a Run 1 of 1:25.82? | SELECT run_4 FROM table_name_59 WHERE run_1 = '1:25.82' | CREATE TABLE table_name_59 (run_4 VARCHAR(255), run_1 VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24127
} |
Which Final has a Run 2 of 1:27.58? | SELECT final FROM table_name_50 WHERE run_2 = '1:27.58' | CREATE TABLE table_name_50 (final VARCHAR(255), run_2 VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24128
} |
which opponents in the u.s. championships played after 1945 and had a score of 3–6, 6–4, 2–6, 6–3, 20–18? | SELECT opponents_in_the_final FROM table_name_5 WHERE championship = 'u.s. championships' AND year > 1945 AND score = '3–6, 6–4, 2–6, 6–3, 20–18' | CREATE TABLE table_name_5 (opponents_in_the_final VARCHAR(255), score VARCHAR(255), championship VARCHAR(255), year VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24129
} |
What ending does siangu get for ön? | SELECT feminine_ōn_stems FROM table_name_82 WHERE feminine_ō_stems = 'siangu' | CREATE TABLE table_name_82 (feminine_ōn_stems VARCHAR(255), feminine_ō_stems VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24146
} |
What is the u form of the word with a neuter form of skip and a masculine a-ending of fisker? | SELECT masculine_u_stems FROM table_name_18 WHERE neuter_a_stems = 'skip' AND masculine_a_stems = 'fisker' | CREATE TABLE table_name_18 (masculine_u_stems VARCHAR(255), neuter_a_stems VARCHAR(255), masculine_a_stems VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24147
} |
What is the masculine an form for the word with a feminine ö ending of siangar and a masculine u ending of sunar? | SELECT masculine_an_stems FROM table_name_49 WHERE feminine_ō_stems = 'siangar' AND masculine_u_stems = 'sunar' | CREATE TABLE table_name_49 (masculine_an_stems VARCHAR(255), feminine_ō_stems VARCHAR(255), masculine_u_stems VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24148
} |
What is the masculine u form for the old Swedish word with a neuter a form of skipum? | SELECT masculine_u_stems FROM table_name_68 WHERE neuter_a_stems = 'skipum' | CREATE TABLE table_name_68 (masculine_u_stems VARCHAR(255), neuter_a_stems VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24149
} |
A tournament on which date has a margin of victory of 2 strokes and a par of −16? | SELECT date FROM table_name_8 WHERE margin_of_victory = '2 strokes' AND to_par = '−16' | CREATE TABLE table_name_8 (date VARCHAR(255), margin_of_victory VARCHAR(255), to_par VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24150
} |
Who was the runner-up in the tournament that has a margin of victory of 2 strokes, and a To par of −16? | SELECT runner_up FROM table_name_62 WHERE margin_of_victory = '2 strokes' AND to_par = '−16' | CREATE TABLE table_name_62 (runner_up VARCHAR(255), margin_of_victory VARCHAR(255), to_par VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24151
} |
What was the to par of the tournament that had Ken Duke as a runner-up? | SELECT to_par FROM table_name_56 WHERE runner_up = 'ken duke' | CREATE TABLE table_name_56 (to_par VARCHAR(255), runner_up VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24152
} |
What was the margin of victory when Brandt Snedeker was runner-up? | SELECT margin_of_victory FROM table_name_38 WHERE runner_up = 'brandt snedeker' | CREATE TABLE table_name_38 (margin_of_victory VARCHAR(255), runner_up VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24153
} |
What is the date that has a winning score of 67-70-68-67=272? | SELECT date FROM table_name_84 WHERE winning_score = 67 - 70 - 68 - 67 = 272 | CREATE TABLE table_name_84 (date VARCHAR(255), winning_score VARCHAR(255)) | generic | null | easy | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported column expression: winning_score = 67 - 70 - 68 - 67"
] | [
"validated",
"extended",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 24154
} |
What year has a Schwante smaller than 2.043, an Eichstädt smaller than 848, and a Bärenklau smaller than 1.262? | SELECT COUNT(year) FROM table_name_30 WHERE schwante < 2.043 AND eichstädt < 848 AND bärenklau < 1.262 | CREATE TABLE table_name_30 (year VARCHAR(255), bärenklau VARCHAR(255), schwante VARCHAR(255), eichstädt VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24155
} |
What's the score for a game over 56 with a record of 29-24-7 with a lundqvist decision? | SELECT score FROM table_name_18 WHERE game > 56 AND decision = 'lundqvist' AND record = '29-24-7' | CREATE TABLE table_name_18 (score VARCHAR(255), record VARCHAR(255), game VARCHAR(255), decision VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24156
} |
What is the High rebounds with a Series with 4–2? | SELECT high_rebounds FROM table_name_13 WHERE series = '4–2' | CREATE TABLE table_name_13 (high_rebounds VARCHAR(255), series VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24157
} |
What is the High rebounds with a High assists with bryant (7), and a Team of @ utah? | SELECT high_rebounds FROM table_name_9 WHERE high_assists = 'bryant (7)' AND team = '@ utah' | CREATE TABLE table_name_9 (high_rebounds VARCHAR(255), high_assists VARCHAR(255), team VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24158
} |
What is the Series with a High rebounds with gasol (10)? | SELECT series FROM table_name_54 WHERE high_rebounds = 'gasol (10)' | CREATE TABLE table_name_54 (series VARCHAR(255), high_rebounds VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24159
} |
Tell me the D 49 and D 46 of r 13 | SELECT d_49 FROM table_name_64 WHERE d_46 = 'r 13' | CREATE TABLE table_name_64 (d_49 VARCHAR(255), d_46 VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24160
} |
I want the D 40 with D 44 of d 15 | SELECT d_40 FROM table_name_17 WHERE d_44 = 'd 15' | CREATE TABLE table_name_17 (d_40 VARCHAR(255), d_44 VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24161
} |
I want the D 45 and D 42 of r 22 | SELECT d_45 FROM table_name_58 WHERE d_42 = 'r 22' | CREATE TABLE table_name_58 (d_45 VARCHAR(255), d_42 VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24162
} |
I want the D 46 for D 45 of r 5 | SELECT d_46 FROM table_name_54 WHERE d_45 = 'r 5' | CREATE TABLE table_name_54 (d_46 VARCHAR(255), d_45 VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24163
} |
I want the D 47 for D 41 being r 21 | SELECT d_47 FROM table_name_78 WHERE d_41 = 'r 21' | CREATE TABLE table_name_78 (d_47 VARCHAR(255), d_41 VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24164
} |
What is the Name with a Year of junior, and a High School with wheatley? | SELECT name FROM table_name_54 WHERE year = 'junior' AND high_school = 'wheatley' | CREATE TABLE table_name_54 (name VARCHAR(255), year VARCHAR(255), high_school VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24165
} |
What is the Home Town with a Name with rob cunningham? | SELECT home_town FROM table_name_40 WHERE name = 'rob cunningham' | CREATE TABLE table_name_40 (home_town VARCHAR(255), name VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24166
} |
What is the Position with a Year with freshman, and a Weight larger than 210? | SELECT position FROM table_name_79 WHERE year = 'freshman' AND weight > 210 | CREATE TABLE table_name_79 (position VARCHAR(255), year VARCHAR(255), weight VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24167
} |
What is the Home Town with a Year of freshman, and a Height with 6–6? | SELECT home_town FROM table_name_81 WHERE year = 'freshman' AND height = '6–6' | CREATE TABLE table_name_81 (home_town VARCHAR(255), year VARCHAR(255), height VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24168
} |
What is the Name with a Year with freshman, and a Home Town with los angeles, ca, and a Height of 6–4? | SELECT name FROM table_name_90 WHERE year = 'freshman' AND home_town = 'los angeles, ca' AND height = '6–4' | CREATE TABLE table_name_90 (name VARCHAR(255), height VARCHAR(255), year VARCHAR(255), home_town VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24169
} |
What is the Result for Goal 3? | SELECT result FROM table_name_30 WHERE goal = 3 | CREATE TABLE table_name_30 (result VARCHAR(255), goal VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24170
} |
What is the average ties when the team is montreal victorias and the games played is more than 8? | SELECT AVG(ties) FROM table_name_73 WHERE team = 'montreal victorias' AND games_played > 8 | CREATE TABLE table_name_73 (ties INTEGER, team VARCHAR(255), games_played VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24171
} |
what is the average losses when the wins is 3? | SELECT AVG(losses) FROM table_name_24 WHERE wins = 3 | CREATE TABLE table_name_24 (losses INTEGER, wins VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24172
} |
what is the total number of goals for when the ties is more than 0, the goals against is more than 35 and the wins is less than 2? | SELECT COUNT(goals_for) FROM table_name_48 WHERE ties > 0 AND goals_against > 35 AND wins < 2 | CREATE TABLE table_name_48 (goals_for VARCHAR(255), wins VARCHAR(255), ties VARCHAR(255), goals_against VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24174
} |
what is the sum of the losses when the goals against is less than 34 and the games played is less than 8? | SELECT SUM(losses) FROM table_name_80 WHERE goals_against < 34 AND games_played < 8 | CREATE TABLE table_name_80 (losses INTEGER, goals_against VARCHAR(255), games_played VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24175
} |
What is the name of the platform used for various computers and consoles? | SELECT platform FROM table_name_11 WHERE system = 'various computers and consoles' | CREATE TABLE table_name_11 (platform VARCHAR(255), system VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24176
} |
Which system is named ELKJS? | SELECT system FROM table_name_66 WHERE name = 'elkjs' | CREATE TABLE table_name_66 (system VARCHAR(255), name VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24177
} |
What is the system called that is named ELKJS? | SELECT system FROM table_name_56 WHERE name = 'elkjs' | CREATE TABLE table_name_56 (system VARCHAR(255), name VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24178
} |
What are the numbers for the item completed earlier than 1904? | SELECT numbers FROM table_name_13 WHERE completed < 1904 | CREATE TABLE table_name_13 (numbers VARCHAR(255), completed INTEGER) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24179
} |
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