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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
How many people attended the game on December 2, 1951? | SELECT attendance FROM table_name_69 WHERE date = 'december 2, 1951' | CREATE TABLE table_name_69 (attendance VARCHAR(255), date VARCHAR(255), id INTEGER PRIMARY KEY AUTOINCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43096
} |
What venue does st kilda play at as the away team? | SELECT venue FROM table_name_30 WHERE away_team = 'st kilda' | CREATE TABLE table_name_30 (venue VARCHAR(255), away_team VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43097
} |
What is melbourne's home team score? | SELECT home_team AS score FROM table_name_97 WHERE home_team = 'melbourne' | CREATE TABLE table_name_97 (home_team VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43098
} |
How many games is collingwood the home side? | SELECT COUNT(crowd) FROM table_name_4 WHERE home_team = 'collingwood' | CREATE TABLE table_name_4 (crowd VARCHAR(255), home_team VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43099
} |
Who was the opponent on the date of November 29, 1970 and the attendance was less than 31,427? | SELECT AVG(week) FROM table_name_41 WHERE date = 'november 29, 1970' AND attendance < 31 OFFSET 427 | CREATE TABLE table_name_41 (week INTEGER, date VARCHAR(255), attendance VARCHAR(255)) | generic | null | medium | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported select options: offset"
] | [
"validated",
"extended",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 43100
} |
On what date was the game where is was later than Week 4 of the season and the opponent was the New York Giants? | SELECT date FROM table_name_54 WHERE week > 4 AND opponent = 'new york giants' | CREATE TABLE table_name_54 (date VARCHAR(255), week VARCHAR(255), opponent VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 43101
} |
What was the attendance of the game on December 13, 1970? | SELECT COUNT(attendance) FROM table_name_34 WHERE date = 'december 13, 1970' AND week > 13 | CREATE TABLE table_name_34 (attendance VARCHAR(255), date VARCHAR(255), week VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 43102
} |
What is the date before week 13 and Miami Dolphins as an opponent? | SELECT date FROM table_name_48 WHERE week < 13 AND opponent = 'miami dolphins' | CREATE TABLE table_name_48 (date VARCHAR(255), week VARCHAR(255), opponent VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 43103
} |
What is the attendance for week 11? | SELECT attendance FROM table_name_59 WHERE week = 11 | CREATE TABLE table_name_59 (attendance VARCHAR(255), week VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43104
} |
What is the home team's score for north melbourne? | SELECT home_team AS score FROM table_name_57 WHERE home_team = 'north melbourne' | CREATE TABLE table_name_57 (home_team VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43105
} |
Who sponsors Josele Garza in all rounds? | SELECT sponsor_s_ FROM table_name_60 WHERE rounds = 'all' AND driver_s_ = 'josele garza' | CREATE TABLE table_name_60 (sponsor_s_ VARCHAR(255), rounds VARCHAR(255), driver_s_ VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 43106
} |
Which rounds did the team Walther participate in? | SELECT rounds FROM table_name_77 WHERE team = 'walther' | CREATE TABLE table_name_77 (rounds VARCHAR(255), team VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43107
} |
What team was Tom Sneva on in rounds 1-9? | SELECT team FROM table_name_8 WHERE driver_s_ = 'tom sneva' AND rounds = '1-9' | CREATE TABLE table_name_8 (team VARCHAR(255), driver_s_ VARCHAR(255), rounds VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 43108
} |
Which rounds do Arciero Wines sponsor a March 85c chassis? | SELECT rounds FROM table_name_7 WHERE sponsor_s_ = 'arciero wines' AND chassis = 'march 85c' | CREATE TABLE table_name_7 (rounds VARCHAR(255), sponsor_s_ VARCHAR(255), chassis VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 43109
} |
What years were the inactive North Carolina chapter active? | SELECT charter_range FROM table_name_15 WHERE status = 'inactive' AND state = 'north carolina' | CREATE TABLE table_name_15 (charter_range VARCHAR(255), status VARCHAR(255), state VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 43110
} |
What years were the inactive Idaho chapter active? | SELECT charter_range FROM table_name_99 WHERE status = 'inactive' AND state = 'idaho' | CREATE TABLE table_name_99 (charter_range VARCHAR(255), status VARCHAR(255), state VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 43111
} |
Which chapter was active from 1906-1991? | SELECT chapter FROM table_name_5 WHERE charter_range = '1906-1991' | CREATE TABLE table_name_5 (chapter VARCHAR(255), charter_range VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43112
} |
What is the GDP $IDB in Istanbul? | SELECT gdp_in_$id_b FROM table_name_42 WHERE city = 'istanbul' | CREATE TABLE table_name_42 (gdp_in_$id_b VARCHAR(255), city VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43129
} |
What is the most recently founded school that joined in 2011? | SELECT MAX(founded) FROM table_name_94 WHERE joined = '2011' | CREATE TABLE table_name_94 (founded INTEGER, joined VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43130
} |
What was the home team that played Geelong? | SELECT home_team AS score FROM table_name_43 WHERE away_team = 'geelong' | CREATE TABLE table_name_43 (home_team VARCHAR(255), away_team VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43131
} |
What was the home team's score when they played Richmond? | SELECT home_team AS score FROM table_name_13 WHERE away_team = 'richmond' | CREATE TABLE table_name_13 (home_team VARCHAR(255), away_team VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43132
} |
What is Melbourne's home venue? | SELECT venue FROM table_name_74 WHERE home_team = 'melbourne' | CREATE TABLE table_name_74 (venue VARCHAR(255), home_team VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43133
} |
What was the overall draft pick for the player selected for the tight end position? | SELECT overall FROM table_name_72 WHERE position = 'tight end' | CREATE TABLE table_name_72 (overall VARCHAR(255), position VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43134
} |
On what date is Hawthorn the home team? | SELECT date FROM table_name_10 WHERE home_team = 'hawthorn' | CREATE TABLE table_name_10 (date VARCHAR(255), home_team VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43135
} |
On what date is St Kilda the away team? | SELECT date FROM table_name_31 WHERE away_team = 'st kilda' | CREATE TABLE table_name_31 (date VARCHAR(255), away_team VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43136
} |
Who did the Browns play on October 13, 1968? | SELECT opponent FROM table_name_7 WHERE date = 'october 13, 1968' | CREATE TABLE table_name_7 (opponent VARCHAR(255), date VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43137
} |
Which game is named tsegay kebede category:articles with hcards? | SELECT games FROM table_name_70 WHERE name = 'tsegay kebede category:articles with hcards' | CREATE TABLE table_name_70 (games VARCHAR(255), name VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43138
} |
Which event in the 2000 Sydney games was in the category gete wami category:articles with hcards? | SELECT event FROM table_name_73 WHERE games = '2000 sydney' AND name = 'gete wami category:articles with hcards' | CREATE TABLE table_name_73 (event VARCHAR(255), games VARCHAR(255), name VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 43139
} |
Which event in the 2008 Beijing Games had a bronze medal? | SELECT event FROM table_name_34 WHERE games = '2008 beijing' AND medal = 'bronze' | CREATE TABLE table_name_34 (event VARCHAR(255), games VARCHAR(255), medal VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 43140
} |
What is the medal named fatuma roba category:articles with hcards for? | SELECT medal FROM table_name_73 WHERE name = 'fatuma roba category:articles with hcards' | CREATE TABLE table_name_73 (medal VARCHAR(255), name VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43141
} |
What is the game named derartu tulu category:articles with hcards? | SELECT games FROM table_name_15 WHERE name = 'derartu tulu category:articles with hcards' | CREATE TABLE table_name_15 (games VARCHAR(255), name VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43142
} |
What is the fastest time for the Kentucky Derby race? | SELECT time FROM table_name_40 WHERE race = 'kentucky derby' | CREATE TABLE table_name_40 (time VARCHAR(255), race VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43143
} |
Which track does the Woodward Stakes race take place on? | SELECT track FROM table_name_72 WHERE race = 'woodward stakes' | CREATE TABLE table_name_72 (track VARCHAR(255), race VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43144
} |
What grade did jockey Robby Albarado get when racing with Ravens Pass? | SELECT grade FROM table_name_78 WHERE jockey = 'robby albarado' AND runner_up_winner = 'ravens pass' | CREATE TABLE table_name_78 (grade VARCHAR(255), jockey VARCHAR(255), runner_up_winner VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 43145
} |
In which Age Category is Marco Manenti? | SELECT age_category FROM table_name_44 WHERE name = 'marco manenti' | CREATE TABLE table_name_44 (age_category VARCHAR(255), name VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43146
} |
Which year has a Time of 13:23:43? | SELECT year FROM table_name_50 WHERE time = '13:23:43' | CREATE TABLE table_name_50 (year VARCHAR(255), time VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43147
} |
What score has 3-7 as the record? | SELECT score FROM table_name_46 WHERE record = '3-7' | CREATE TABLE table_name_46 (score VARCHAR(255), record VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43148
} |
What loss has 16,458 as an Att.? | SELECT loss FROM table_name_82 WHERE att = '16,458' | CREATE TABLE table_name_82 (loss VARCHAR(255), att VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43149
} |
What date has 5-3 as the score, and holt (1-1) as a loss? | SELECT date FROM table_name_95 WHERE score = '5-3' AND loss = 'holt (1-1)' | CREATE TABLE table_name_95 (date VARCHAR(255), score VARCHAR(255), loss VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 43150
} |
What is the sector of the company with an incorporated date before 1983? | SELECT sector FROM table_name_64 WHERE incorporated < 1983 | CREATE TABLE table_name_64 (sector VARCHAR(255), incorporated INTEGER) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43151
} |
What is the average incorporataed year of the Air India Charters company? | SELECT AVG(incorporated) FROM table_name_25 WHERE company = 'air india charters' | CREATE TABLE table_name_25 (incorporated INTEGER, company VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43152
} |
How many votes were tallied in 1956 with a % of national vote larger than 11.47? | SELECT SUM(votes) FROM table_name_66 WHERE date = '1956' AND _percentage_of_national_vote > 11.47 | CREATE TABLE table_name_66 (votes INTEGER, date VARCHAR(255), _percentage_of_national_vote VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 43153
} |
How many candidates were nominated in 1952 with under 305,133 votes? | SELECT SUM(candidates_nominated) FROM table_name_51 WHERE date = '1952' AND votes < 305 OFFSET 133 | CREATE TABLE table_name_51 (candidates_nominated INTEGER, date VARCHAR(255), votes VARCHAR(255)) | generic | null | medium | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported select options: offset"
] | [
"validated",
"extended",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 43154
} |
How many votes were tallied with a % of national vote of 13.11, and over 39 candidates nominated? | SELECT COUNT(votes) FROM table_name_72 WHERE _percentage_of_national_vote = 13.11 AND candidates_nominated > 39 | CREATE TABLE table_name_72 (votes VARCHAR(255), _percentage_of_national_vote VARCHAR(255), candidates_nominated VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 43155
} |
Who is the visitor with a record of 14–17–5? | SELECT visitor FROM table_name_54 WHERE record = '14–17–5' | CREATE TABLE table_name_54 (visitor VARCHAR(255), record VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43156
} |
How many in attendance when Penguins were home with a record of 14–19–6 with less than 34 points? | SELECT COUNT(attendance) FROM table_name_98 WHERE home = 'penguins' AND record = '14–19–6' AND points < 34 | CREATE TABLE table_name_98 (attendance VARCHAR(255), points VARCHAR(255), home VARCHAR(255), record VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 43157
} |
Which Format has a Catalog of 561 445-1? | SELECT format FROM table_name_81 WHERE catalog = '561 445-1' | CREATE TABLE table_name_81 (format VARCHAR(255), catalog VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43158
} |
Which Region has a Date of early september 1999? | SELECT region FROM table_name_67 WHERE date = 'early september 1999' | CREATE TABLE table_name_67 (region VARCHAR(255), date VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43159
} |
Which Region has a Date of early september 1999? | SELECT region FROM table_name_15 WHERE date = 'early september 1999' | CREATE TABLE table_name_15 (region VARCHAR(255), date VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43160
} |
What was the date of the game with a loss of White (4-5)? | SELECT date FROM table_name_34 WHERE loss = 'white (4-5)' | CREATE TABLE table_name_34 (date VARCHAR(255), loss VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43161
} |
what score has a location and attendance of montreal forum and the date of may 10? | SELECT score FROM table_name_49 WHERE location_attendance = 'montreal forum' AND date = 'may 10' | CREATE TABLE table_name_49 (score VARCHAR(255), location_attendance VARCHAR(255), date VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 43162
} |
Which Interview has a Province of monte cristi and a Swimsuit larger than 7.27 | SELECT SUM(interview) FROM table_name_75 WHERE province = 'monte cristi' AND swimsuit > 7.27 | CREATE TABLE table_name_75 (interview INTEGER, province VARCHAR(255), swimsuit VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 43163
} |
WHich Evening Gown has a Swimsuit smaller than 7.99 and a Interview larger than 7.98? | SELECT AVG(evening_gown) FROM table_name_21 WHERE swimsuit < 7.99 AND interview > 7.98 | CREATE TABLE table_name_21 (evening_gown INTEGER, swimsuit VARCHAR(255), interview VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 43164
} |
Which Interview has a Swimsuit larger than 7.6, and a Province of la vega, and an Average smaller than 8.38? | SELECT SUM(interview) FROM table_name_11 WHERE swimsuit > 7.6 AND province = 'la vega' AND average < 8.38 | CREATE TABLE table_name_11 (interview INTEGER, average VARCHAR(255), swimsuit VARCHAR(255), province VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 43165
} |
Which items in segment A have a segment D of marble sculptures? | SELECT segment_a FROM table_name_34 WHERE segment_d = 'marble sculptures' | CREATE TABLE table_name_34 (segment_a VARCHAR(255), segment_d VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43166
} |
Which segment A also has a segment D of kitchen shears? | SELECT segment_a FROM table_name_57 WHERE segment_d = 'kitchen shears' | CREATE TABLE table_name_57 (segment_a VARCHAR(255), segment_d VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43167
} |
Which items in segment C is episode 160? | SELECT segment_c FROM table_name_30 WHERE episode = 160 | CREATE TABLE table_name_30 (segment_c VARCHAR(255), episode VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43168
} |
Which season last aired on May 6, 1987? | SELECT season FROM table_name_77 WHERE last_airdate = 'may 6, 1987' | CREATE TABLE table_name_77 (season VARCHAR(255), last_airdate VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43169
} |
What is the Nielsen ranking for Season 8? | SELECT nielsen_ranking FROM table_name_99 WHERE season = 'season 8' | CREATE TABLE table_name_99 (nielsen_ranking VARCHAR(255), season VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43170
} |
What was the first airdate or the season that had less than 24 episodes and a Nielsen ranking of #38? | SELECT first_airdate FROM table_name_68 WHERE episodes < 24 AND nielsen_ranking = '#38' | CREATE TABLE table_name_68 (first_airdate VARCHAR(255), episodes VARCHAR(255), nielsen_ranking VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 43171
} |
How many episodes were in the season that first aired on September 22, 1989? | SELECT episodes FROM table_name_98 WHERE first_airdate = 'september 22, 1989' | CREATE TABLE table_name_98 (episodes VARCHAR(255), first_airdate VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43172
} |
How many episodes were in the season that ended on April 29, 1986? | SELECT AVG(episodes) FROM table_name_65 WHERE last_airdate = 'april 29, 1986' | CREATE TABLE table_name_65 (episodes INTEGER, last_airdate VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43173
} |
Where the ship is Dahlgren what is the build as? | SELECT built_as FROM table_name_28 WHERE ship = 'dahlgren' | CREATE TABLE table_name_28 (built_as VARCHAR(255), ship VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43174
} |
Where the NRV link is CGN38, what is the reclassified as? | SELECT reclassified_as FROM table_name_35 WHERE nvr_link = 'cgn38' | CREATE TABLE table_name_35 (reclassified_as VARCHAR(255), nvr_link VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43175
} |
Where the built as is DLG-23, what is the class? | SELECT class FROM table_name_98 WHERE built_as = 'dlg-23' | CREATE TABLE table_name_98 (class VARCHAR(255), built_as VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43176
} |
What is the Total medals won by the nation in Rank 6 with less than 2 Bronze medals? | SELECT SUM(total) FROM table_name_56 WHERE rank = '6' AND bronze < 2 | CREATE TABLE table_name_56 (total INTEGER, rank VARCHAR(255), bronze VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 43177
} |
How many Gold medals were won by the Nation that had more than 12 Bronze medals and less than 124 Total medals? | SELECT COUNT(gold) FROM table_name_56 WHERE bronze > 12 AND total < 124 | CREATE TABLE table_name_56 (gold VARCHAR(255), bronze VARCHAR(255), total VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 43178
} |
December smaller than 21, and a Opponent of buffalo sabres had what score? | SELECT score FROM table_name_68 WHERE december < 21 AND opponent = 'buffalo sabres' | CREATE TABLE table_name_68 (score VARCHAR(255), december VARCHAR(255), opponent VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 43179
} |
Score of 8 - 1 happened on what day in December? | SELECT december FROM table_name_27 WHERE score = '8 - 1' | CREATE TABLE table_name_27 (december VARCHAR(255), score VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43180
} |
December larger than 21, and a Opponent of Pittsburgh penguins had what average game? | SELECT AVG(game) FROM table_name_30 WHERE december > 21 AND opponent = 'pittsburgh penguins' | CREATE TABLE table_name_30 (game INTEGER, december VARCHAR(255), opponent VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 43181
} |
December smaller than 14, and a Game smaller than 28, and a Score of 6 - 6 involved what opponent? | SELECT opponent FROM table_name_16 WHERE december < 14 AND game < 28 AND score = '6 - 6' | CREATE TABLE table_name_16 (opponent VARCHAR(255), score VARCHAR(255), december VARCHAR(255), game VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 43182
} |
What is the date that the item was laid down if it was launched on 1899-04-25? | SELECT laid_down FROM table_name_95 WHERE launched = '1899-04-25' | CREATE TABLE table_name_95 (laid_down VARCHAR(255), launched VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43183
} |
Which builder has the the kanji of 曙? | SELECT builder FROM table_name_98 WHERE kanji = '曙' | CREATE TABLE table_name_98 (builder VARCHAR(255), kanji VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43184
} |
Which Density per km² is the lowest one that has a Number (map) smaller than 13, and an Area in km² of 11.1? | SELECT MIN(density_per_km²) FROM table_name_21 WHERE number__map_ < 13 AND area_in_km² = 11.1 | CREATE TABLE table_name_21 (density_per_km² INTEGER, number__map_ VARCHAR(255), area_in_km² VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 43185
} |
How much #s have an Area in km² larger than 13.5, and a Population Canada 2011 Census of 134,038? | SELECT COUNT(number__map_) FROM table_name_3 WHERE area_in_km² > 13.5 AND population_canada_2011_census = 134 OFFSET 038 | CREATE TABLE table_name_3 (number__map_ VARCHAR(255), area_in_km² VARCHAR(255), population_canada_2011_census VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | null | medium | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported select options: offset"
] | [
"validated",
"extended",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 43186
} |
Which Number (map) is the lowest one that has a Area in km² of 9.7, and a Population Canada 2011 Census larger than 66,158? | SELECT MIN(number__map_) FROM table_name_71 WHERE area_in_km² = 9.7 AND population_canada_2011_census > 66 OFFSET 158 | CREATE TABLE table_name_71 (number__map_ INTEGER, area_in_km² VARCHAR(255), population_canada_2011_census VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | null | medium | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported select options: offset"
] | [
"validated",
"extended",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 43187
} |
Attendance of 19,741 had what average week? | SELECT AVG(week) FROM table_name_80 WHERE attendance = '19,741' | CREATE TABLE table_name_80 (week INTEGER, attendance VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43188
} |
Attendance of 29,000 occurred on what date? | SELECT date FROM table_name_80 WHERE attendance = '29,000' | CREATE TABLE table_name_80 (date VARCHAR(255), attendance VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43189
} |
Opponent of Philadelphia eagles had what attendance? | SELECT attendance FROM table_name_38 WHERE opponent = 'philadelphia eagles' | CREATE TABLE table_name_38 (attendance VARCHAR(255), opponent VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43190
} |
What day did Alex Best exit? | SELECT exited FROM table_name_26 WHERE celebrity = 'alex best' | CREATE TABLE table_name_26 (exited VARCHAR(255), celebrity VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43191
} |
What place did the celebrity who is famous for being an athlete finish? | SELECT finished FROM table_name_39 WHERE famous_for = 'athlete' | CREATE TABLE table_name_39 (finished VARCHAR(255), famous_for VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43192
} |
What place did the singer in atomic kitten finish? | SELECT finished FROM table_name_91 WHERE famous_for = 'singer in atomic kitten' | CREATE TABLE table_name_91 (finished VARCHAR(255), famous_for VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43193
} |
Who was the celebrity who exited on day 13? | SELECT celebrity FROM table_name_35 WHERE exited = 'day 13' | CREATE TABLE table_name_35 (celebrity VARCHAR(255), exited VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43194
} |
Who was the celebrity who finished in 7th place? | SELECT celebrity FROM table_name_91 WHERE finished = '7th' | CREATE TABLE table_name_91 (celebrity VARCHAR(255), finished VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43195
} |
Name of gilmar, and a Caps smaller than 94 had how many highest goals? | SELECT MAX(goals) FROM table_name_18 WHERE name = 'gilmar' AND caps < 94 | CREATE TABLE table_name_18 (goals INTEGER, name VARCHAR(255), caps VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 43196
} |
Caps of 93 had how many goals? | SELECT goals FROM table_name_94 WHERE caps = 93 | CREATE TABLE table_name_94 (goals VARCHAR(255), caps VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43197
} |
Latest cap of september 5, 2011 had how many goals? | SELECT goals FROM table_name_39 WHERE latest_cap = 'september 5, 2011' | CREATE TABLE table_name_39 (goals VARCHAR(255), latest_cap VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43198
} |
Name of rivelino had how many highest caps? | SELECT MAX(caps) FROM table_name_65 WHERE name = 'rivelino' | CREATE TABLE table_name_65 (caps INTEGER, name VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43199
} |
Which athlete played at the Birmingham venue? | SELECT athlete FROM table_name_32 WHERE venue = 'birmingham' | CREATE TABLE table_name_32 (athlete VARCHAR(255), venue VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43200
} |
Which Frequency has a Webcast of •, and a Callsign of xemr? | SELECT AVG(frequency) FROM table_name_31 WHERE webcast = '•' AND callsign = 'xemr' | CREATE TABLE table_name_31 (frequency INTEGER, webcast VARCHAR(255), callsign VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 43201
} |
Which Website has a Frequency smaller than 760 and a Callsign of kkyx? | SELECT website FROM table_name_85 WHERE frequency < 760 AND callsign = 'kkyx' | CREATE TABLE table_name_85 (website VARCHAR(255), frequency VARCHAR(255), callsign VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 43202
} |
Which Webcast has a Callsign of kgbt? | SELECT webcast FROM table_name_91 WHERE callsign = 'kgbt' | CREATE TABLE table_name_91 (webcast VARCHAR(255), callsign VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43203
} |
Which Frequency has a Website of •, and a Webcast of •in san antonio? | SELECT AVG(frequency) FROM table_name_44 WHERE website = '•' AND webcast = '•' AND city_of_license = 'san antonio' | CREATE TABLE table_name_44 (frequency INTEGER, city_of_license VARCHAR(255), website VARCHAR(255), webcast VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 43204
} |
What years did the player play when he scored 78 points and 22 goals? | SELECT years FROM table_name_56 WHERE points = '78' AND goals = '22' | CREATE TABLE table_name_56 (years VARCHAR(255), points VARCHAR(255), goals VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 43205
} |
How many goals did Joey Worthen have when he had 15 assists? | SELECT goals FROM table_name_78 WHERE assists = '15' AND player = 'joey worthen' | CREATE TABLE table_name_78 (goals VARCHAR(255), assists VARCHAR(255), player VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 43206
} |
How many goals were scored when 158 points were collected? | SELECT goals FROM table_name_45 WHERE points = '158' | CREATE TABLE table_name_45 (goals VARCHAR(255), points VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43207
} |
What years had players who scored 36 goals? | SELECT years FROM table_name_51 WHERE goals = '36' | CREATE TABLE table_name_51 (years VARCHAR(255), goals VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43208
} |
What was the rank of the player who had 13 assists? | SELECT rank FROM table_name_14 WHERE assists = '13' | CREATE TABLE table_name_14 (rank VARCHAR(255), assists VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 43209
} |
What is the sum of the weeks during which the Redskins played against the Houston Oilers and had more than 54,582 fans in attendance? | SELECT SUM(week) FROM table_name_97 WHERE opponent = 'houston oilers' AND attendance > 54 OFFSET 582 | CREATE TABLE table_name_97 (week INTEGER, opponent VARCHAR(255), attendance VARCHAR(255)) | generic | null | medium | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported select options: offset"
] | [
"validated",
"extended",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 43210
} |
What is the total number in attendance for the game after week 8 that was on November 25, 1979? | SELECT COUNT(attendance) FROM table_name_49 WHERE week > 8 AND date = 'november 25, 1979' | CREATE TABLE table_name_49 (attendance VARCHAR(255), week VARCHAR(255), date VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 43212
} |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.