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 position does the player from arkansas play? | SELECT pos FROM table_name_57 WHERE school_country = 'arkansas' | CREATE TABLE table_name_57 (pos VARCHAR(255), school_country 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": 24666
} |
What is the word count that is named omega dot? | SELECT word__number FROM table_name_37 WHERE name = 'omega dot' | CREATE TABLE table_name_37 (word__number VARCHAR(255), name 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": 24667
} |
What is the total word count with a subframe count greater than 3? | SELECT SUM(word__number) FROM table_name_43 WHERE subframe__number > 3 | CREATE TABLE table_name_43 (word__number INTEGER, subframe__number INTEGER, id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24668
} |
What is the total grid with laps less than 2? | SELECT SUM(grid) FROM table_name_78 WHERE laps < 2 | CREATE TABLE table_name_78 (grid INTEGER, laps INTEGER, id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24669
} |
How much time is required for less than 35 laps and less than 10 grids? | SELECT time_retired FROM table_name_9 WHERE laps < 35 AND grid < 10 | CREATE TABLE table_name_9 (time_retired VARCHAR(255), laps VARCHAR(255), grid 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": 24670
} |
What is the Venue for Goal number 1? | SELECT venue FROM table_name_24 WHERE goal = 1 | CREATE TABLE table_name_24 (venue VARCHAR(255), goal 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": 24671
} |
What was the airing date when the number of episodes was larger than 20 and had the genre of costume action? | SELECT airing_date FROM table_name_73 WHERE number_of_episodes > 20 AND genre = 'costume action' | CREATE TABLE table_name_73 (airing_date VARCHAR(255), number_of_episodes VARCHAR(255), genre 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": 24672
} |
What are the number of episodes when the genre is modern drama and the highest average ratings points are 28? | SELECT AVG(number_of_episodes) FROM table_name_34 WHERE genre = 'modern drama' AND highest_average_point_ratings = 28 | CREATE TABLE table_name_34 (number_of_episodes INTEGER, genre VARCHAR(255), highest_average_point_ratings 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": 24673
} |
What year was S.A. Allward's theme that had an issue price of $16.95 released? | SELECT year FROM table_name_60 WHERE issue_price = '$16.95' AND artist = 's.a. allward' | CREATE TABLE table_name_60 (year VARCHAR(255), issue_price VARCHAR(255), artist 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": 24674
} |
What was the total mintage for years after 2002 that had a 85th Anniversary of Vimy Ridge theme? | SELECT COUNT(mintage) FROM table_name_68 WHERE theme = '85th anniversary of vimy ridge' AND year > 2002 | CREATE TABLE table_name_68 (mintage VARCHAR(255), theme VARCHAR(255), year 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": 24675
} |
How many people attended the game where Footscray was away? | SELECT crowd FROM table_name_29 WHERE away_team = 'footscray' | CREATE TABLE table_name_29 (crowd VARCHAR(255), away_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": 24676
} |
How many pages associated with isbn 91-7713-035-9? | SELECT SUM(pages) FROM table_name_75 WHERE isbn = 'isbn 91-7713-035-9' | CREATE TABLE table_name_75 (pages INTEGER, isbn 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": 24677
} |
What home team played at MCG? | SELECT away_team FROM table_name_18 WHERE venue = 'mcg' | CREATE TABLE table_name_18 (away_team VARCHAR(255), venue 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": 24678
} |
What away team played at Kardinia Park? | SELECT away_team AS score FROM table_name_63 WHERE venue = 'kardinia park' | CREATE TABLE table_name_63 (away_team VARCHAR(255), venue 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": 24679
} |
On what date did the match at Lake Oval take place? | SELECT date FROM table_name_63 WHERE venue = 'lake oval' | CREATE TABLE table_name_63 (date VARCHAR(255), venue 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": 24680
} |
What wa the date of the North Melbourne home game? | SELECT date FROM table_name_76 WHERE home_team = 'north melbourne' | CREATE TABLE table_name_76 (date VARCHAR(255), 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": 24681
} |
What was the lowest crowd size at MCG? | SELECT MIN(crowd) FROM table_name_1 WHERE venue = 'mcg' | CREATE TABLE table_name_1 (crowd INTEGER, venue 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": 24682
} |
Who did the Tampa Bay Buccaneers play on december 23, 1995? | SELECT opponent FROM table_name_60 WHERE date = 'december 23, 1995' | CREATE TABLE table_name_60 (opponent VARCHAR(255), date 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": 24683
} |
On what date was Tampa Bay's Week 4 game? | SELECT date FROM table_name_2 WHERE week = '4' | CREATE TABLE table_name_2 (date VARCHAR(255), week 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": 24684
} |
What week was it on November 19, 1995? | SELECT week FROM table_name_87 WHERE date = 'november 19, 1995' | CREATE TABLE table_name_87 (week VARCHAR(255), date 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": 24685
} |
What is the most gold medals a team with less than 2 silvers, more than 7 total medals, and less than 8 bronze medals has? | SELECT MAX(gold) FROM table_name_19 WHERE silver < 2 AND total > 7 AND bronze < 8 | CREATE TABLE table_name_19 (gold INTEGER, bronze VARCHAR(255), silver 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": 24686
} |
What is the number of bronze that Scotland, which has less than 7 total medals, has? | SELECT SUM(bronze) FROM table_name_55 WHERE nation = 'scotland' AND total < 7 | CREATE TABLE table_name_55 (bronze INTEGER, nation 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": 24687
} |
What is the average silver medals a team that has 1 gold and more than 5 bronze has? | SELECT AVG(silver) FROM table_name_2 WHERE gold = 1 AND bronze > 5 | CREATE TABLE table_name_2 (silver INTEGER, gold 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": 24688
} |
What is the total number of bronze a team with more than 0 silver, a total of 7 medals, and less than 1 gold medal has? | SELECT COUNT(bronze) FROM table_name_97 WHERE silver > 0 AND total = 7 AND gold < 1 | CREATE TABLE table_name_97 (bronze VARCHAR(255), gold VARCHAR(255), silver 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": 24689
} |
Which player is from Tampa, Florida? | SELECT player FROM table_name_68 WHERE hometown = 'tampa, florida' | CREATE TABLE table_name_68 (player VARCHAR(255), hometown VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24706
} |
Which college is Jordan Phillips playing for? | SELECT college FROM table_name_85 WHERE player = 'jordan phillips' | CREATE TABLE table_name_85 (college VARCHAR(255), player VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24707
} |
What college has a position of defensive line and Grant high school? | SELECT college FROM table_name_5 WHERE position = 'defensive line' AND school = 'grant high school' | CREATE TABLE table_name_5 (college VARCHAR(255), position VARCHAR(255), school VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24708
} |
What position is for Plant high school? | SELECT position FROM table_name_47 WHERE school = 'plant high school' | CREATE TABLE table_name_47 (position VARCHAR(255), school 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": 24709
} |
What position is for Dr. Phillips high school? | SELECT position FROM table_name_94 WHERE school = 'dr. phillips high school' | CREATE TABLE table_name_94 (position VARCHAR(255), school 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": 24710
} |
Which hometown has a player of Ray Drew? | SELECT hometown FROM table_name_19 WHERE player = 'ray drew' | CREATE TABLE table_name_19 (hometown VARCHAR(255), player 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": 24711
} |
What is the most byes with 11 wins and fewer than 1867 againsts? | SELECT MAX(byes) FROM table_name_95 WHERE against < 1867 AND wins = 11 | CREATE TABLE table_name_95 (byes INTEGER, against VARCHAR(255), wins VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24712
} |
What are the draws when wins are fwewer than 9 and byes fewer than 2? | SELECT COUNT(draws) FROM table_name_15 WHERE wins < 9 AND byes < 2 | CREATE TABLE table_name_15 (draws VARCHAR(255), wins VARCHAR(255), byes VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24713
} |
What are the fewest draws with less than 7 losses and Mitta United is the Tallagatta DFL? | SELECT MIN(draws) FROM table_name_65 WHERE losses < 7 AND tallangatta_dfl = 'mitta united' | CREATE TABLE table_name_65 (draws INTEGER, losses VARCHAR(255), tallangatta_dfl VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24714
} |
What are the losses when there are 9 wins and more than 1326 against? | SELECT SUM(losses) FROM table_name_47 WHERE wins = 9 AND against > 1326 | CREATE TABLE table_name_47 (losses INTEGER, wins VARCHAR(255), against VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24715
} |
What was the decision of the Red Wings game when they had a record of 45–18–6? | SELECT decision FROM table_name_53 WHERE record = '45–18–6' | CREATE TABLE table_name_53 (decision VARCHAR(255), record 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": 24716
} |
Which R 51 O value corresponds to a D 42 O value of r 19? | SELECT r_51_o FROM table_name_8 WHERE d_42_o = 'r 19' | CREATE TABLE table_name_8 (r_51_o VARCHAR(255), d_42_o 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": 24717
} |
What's the highest round that louisville drafted into when their pick was over 75? | SELECT MAX(round) FROM table_name_14 WHERE school_club_team = 'louisville' AND pick > 75 | CREATE TABLE table_name_14 (round INTEGER, school_club_team VARCHAR(255), pick VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24718
} |
Where's the first round that southern mississippi shows up during the draft? | SELECT MIN(round) FROM table_name_31 WHERE school_club_team = 'southern mississippi' | CREATE TABLE table_name_31 (round INTEGER, school_club_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": 24719
} |
Cowansville has less than 16 regions and is a Brome-Missisquoi Municipality, what is their population? | SELECT MIN(population) FROM table_name_38 WHERE regional_county_municipality = 'brome-missisquoi' AND name = 'cowansville' AND region < 16 | CREATE TABLE table_name_38 (population INTEGER, region VARCHAR(255), regional_county_municipality VARCHAR(255), name VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24720
} |
Saint-Blaise-Sur-Richelieu is smaller than 68.42 km^2, what is the population of this type M municipality? | SELECT MIN(population) FROM table_name_64 WHERE type = 'm' AND name = 'saint-blaise-sur-richelieu' AND area__km_2__ < 68.42 | CREATE TABLE table_name_64 (population INTEGER, area__km_2__ VARCHAR(255), type VARCHAR(255), name VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24721
} |
What was the score on January 12? | SELECT score FROM table_name_27 WHERE date = 'january 12' | CREATE TABLE table_name_27 (score VARCHAR(255), date VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24738
} |
Which home team had a visitor of Ottawa Senators with a score of 1–5? | SELECT home FROM table_name_61 WHERE visitor = 'ottawa senators' AND score = '1–5' | CREATE TABLE table_name_61 (home VARCHAR(255), visitor VARCHAR(255), score VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24739
} |
Which team is number 14 and had a franchise in 1993-2000? | SELECT team FROM table_name_38 WHERE number = 14 AND years_with_franchise = '1993-2000' | CREATE TABLE table_name_38 (team VARCHAR(255), number VARCHAR(255), years_with_franchise VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24740
} |
Who was the player in Position G on the Petron Blaze Boosters and retired in 2000? | SELECT name FROM table_name_61 WHERE position = 'g' AND team = 'petron blaze boosters' AND year_retired = '2000' | CREATE TABLE table_name_61 (name VARCHAR(255), year_retired VARCHAR(255), position VARCHAR(255), team VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24741
} |
How many years did the team in slot number 9 have a franchise? | SELECT years_with_franchise FROM table_name_16 WHERE number = 9 | CREATE TABLE table_name_16 (years_with_franchise VARCHAR(255), number VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24742
} |
Tell me the highest matches for point 43 and final rank less than 7 | SELECT MAX(matches) FROM table_name_32 WHERE point = 43 AND final_rank < 7 | CREATE TABLE table_name_32 (matches INTEGER, point VARCHAR(255), final_rank VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24743
} |
Tell me the average final rank for loe more than 10 and point less than 43 | SELECT AVG(final_rank) FROM table_name_8 WHERE lose > 10 AND point < 43 | CREATE TABLE table_name_8 (final_rank INTEGER, lose VARCHAR(255), point VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24744
} |
I want the average lose for lost point more than 16 and goal difference less than 37 and point less than 43 | SELECT AVG(lose) FROM table_name_96 WHERE lost_point > 16 AND goal_difference < 37 AND point < 43 | CREATE TABLE table_name_96 (lose INTEGER, point VARCHAR(255), lost_point VARCHAR(255), goal_difference VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24745
} |
I want the total number of matches for draw less than 7 and lost point of 16 with lose more than 4 | SELECT COUNT(matches) FROM table_name_14 WHERE draw < 7 AND lost_point = 16 AND lose > 4 | CREATE TABLE table_name_14 (matches VARCHAR(255), lose VARCHAR(255), draw VARCHAR(255), lost_point VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24746
} |
Tell me the highest point with lost point being 33 and league point less than 52 | SELECT MAX(point) FROM table_name_98 WHERE lost_point = 33 AND league_point < 52 | CREATE TABLE table_name_98 (point INTEGER, lost_point VARCHAR(255), league_point VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24747
} |
How many laps for a grid larger than 1 with a Time/Retired of halfshaft? | SELECT laps FROM table_name_31 WHERE grid > 1 AND time_retired = 'halfshaft' | CREATE TABLE table_name_31 (laps VARCHAR(255), grid VARCHAR(255), time_retired VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24748
} |
What is the average grid that has over 8 laps, a Time/Retired of +2 laps, and peter gethin driving? | SELECT AVG(grid) FROM table_name_61 WHERE laps > 8 AND time_retired = '+2 laps' AND driver = 'peter gethin' | CREATE TABLE table_name_61 (grid INTEGER, driver VARCHAR(255), laps VARCHAR(255), time_retired VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24749
} |
What is the low grid that has brm and over 54 laps? | SELECT MIN(grid) FROM table_name_20 WHERE constructor = 'brm' AND laps > 54 | CREATE TABLE table_name_20 (grid INTEGER, constructor VARCHAR(255), laps VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24750
} |
What city has larger than 94.1 as a frequency? | SELECT city_of_license FROM table_name_62 WHERE frequency_mhz > 94.1 | CREATE TABLE table_name_62 (city_of_license VARCHAR(255), frequency_mhz INTEGER) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24751
} |
What is the Frequency MHz for the station with a call sign of w224bn? | SELECT AVG(frequency_mhz) FROM table_name_2 WHERE call_sign = 'w224bn' | CREATE TABLE table_name_2 (frequency_mhz INTEGER, call_sign VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24752
} |
What class is the city of black mountain, north carolina? | SELECT class FROM table_name_45 WHERE city_of_license = 'black mountain, north carolina' | CREATE TABLE table_name_45 (class VARCHAR(255), city_of_license VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24753
} |
What is the FCC frequency for the station w262al which has a Frequency MHz larger than 92.7? | SELECT fcc_info FROM table_name_35 WHERE frequency_mhz > 92.7 AND call_sign = 'w262al' | CREATE TABLE table_name_35 (fcc_info VARCHAR(255), frequency_mhz VARCHAR(255), call_sign VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24754
} |
What grad has a Time/Retired of + 1:24.3? | SELECT grid FROM table_name_74 WHERE time_retired = '+ 1:24.3' | CREATE TABLE table_name_74 (grid VARCHAR(255), time_retired 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": 24755
} |
What is the low lap total for henri pescarolo with a grad larger than 6? | SELECT MIN(laps) FROM table_name_20 WHERE grid > 6 AND driver = 'henri pescarolo' | CREATE TABLE table_name_20 (laps INTEGER, grid VARCHAR(255), driver VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24756
} |
What is the low lap total for a grid larger than 16 and has a Time/Retired of + 3:27.3? | SELECT MIN(laps) FROM table_name_60 WHERE time_retired = '+ 3:27.3' AND grid > 16 | CREATE TABLE table_name_60 (laps INTEGER, time_retired VARCHAR(255), grid VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24757
} |
Name what was published in july 1934 with a setting of mars | SELECT published_in FROM table_name_22 WHERE setting = 'mars' AND publication_date = 'july 1934' | CREATE TABLE table_name_22 (published_in VARCHAR(255), setting VARCHAR(255), publication_date VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24758
} |
Name the publication date when the fictional date is 2112 | SELECT publication_date FROM table_name_25 WHERE fictional_date = '2112' | CREATE TABLE table_name_25 (publication_date VARCHAR(255), fictional_date 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": 24759
} |
Name the title when the main characters are grant calthorpe, lee neilan and the published in of astounding stories | SELECT title FROM table_name_84 WHERE published_in = 'astounding stories' AND main_characters = 'grant calthorpe, lee neilan' | CREATE TABLE table_name_84 (title VARCHAR(255), published_in VARCHAR(255), main_characters VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24760
} |
What club has over 1 runners-up and last won the final in 2010? | SELECT club FROM table_name_28 WHERE runners_up > 1 AND last_final_won = '2010' | CREATE TABLE table_name_28 (club VARCHAR(255), runners_up VARCHAR(255), last_final_won VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24761
} |
How manywins for dunfermline athletic that has a total final appearances less than 2? | SELECT wins FROM table_name_54 WHERE total_final_appearances < 2 AND club = 'dunfermline athletic' | CREATE TABLE table_name_54 (wins VARCHAR(255), total_final_appearances VARCHAR(255), club VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24762
} |
What was the crowd size of the match featuring Hawthorn as the Away team? | SELECT crowd FROM table_name_84 WHERE away_team = 'hawthorn' | CREATE TABLE table_name_84 (crowd VARCHAR(255), away_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": 24763
} |
What score did the home team of north melbourne get? | SELECT home_team AS score FROM table_name_59 WHERE home_team = 'north melbourne' | CREATE TABLE table_name_59 (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": 24764
} |
Which home team played the away team of collingwood? | SELECT home_team FROM table_name_14 WHERE away_team = 'collingwood' | CREATE TABLE table_name_14 (home_team VARCHAR(255), away_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": 24765
} |
What method had Adriano Martins as an opponent and a time of 5:00? | SELECT method FROM table_name_36 WHERE time = '5:00' AND opponent = 'adriano martins' | CREATE TABLE table_name_36 (method VARCHAR(255), time VARCHAR(255), opponent VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24766
} |
What is the total number of rounds when Drew Fickett was the opponent and the time is 5:00? | SELECT COUNT(round) FROM table_name_10 WHERE time = '5:00' AND opponent = 'drew fickett' | CREATE TABLE table_name_10 (round VARCHAR(255), time VARCHAR(255), opponent VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24767
} |
What competition is located in bamako? | SELECT competition FROM table_name_68 WHERE location = 'bamako' | CREATE TABLE table_name_68 (competition VARCHAR(255), location 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": 24768
} |
What is the score from the game where Algeria is the opponent at Porto-Novo? | SELECT score FROM table_name_28 WHERE opponent = 'algeria' AND location = 'porto-novo' | CREATE TABLE table_name_28 (score VARCHAR(255), opponent VARCHAR(255), location VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24769
} |
What is the mean road number when Moe Lemay is the player? | SELECT AVG(rd__number) FROM table_name_64 WHERE player = 'moe lemay' | CREATE TABLE table_name_64 (rd__number INTEGER, player VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24770
} |
What is the sum number of Pl GP when the pick number is 178 and the road number is bigger than 9? | SELECT COUNT(pl_gp) FROM table_name_13 WHERE pick__number = 178 AND rd__number > 9 | CREATE TABLE table_name_13 (pl_gp VARCHAR(255), pick__number VARCHAR(255), rd__number VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24771
} |
What is the total number of Pl GP when the pick number is 199 and the Reg GP is bigger than 0? | SELECT SUM(pl_gp) FROM table_name_90 WHERE pick__number = 199 AND reg_gp > 0 | CREATE TABLE table_name_90 (pl_gp INTEGER, pick__number VARCHAR(255), reg_gp VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24772
} |
What position did the player from East Texas State play? | SELECT position FROM table_name_33 WHERE school = 'east texas state' | CREATE TABLE table_name_33 (position VARCHAR(255), school VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24773
} |
What day did they play before week 2? | SELECT date FROM table_name_71 WHERE week < 2 | CREATE TABLE table_name_71 (date VARCHAR(255), week INTEGER) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24774
} |
What is the cons for lib dem of 8% and a lead of 27% | SELECT cons FROM table_name_19 WHERE lib_dem = '8%' AND lead = '27%' | CREATE TABLE table_name_19 (cons VARCHAR(255), lib_dem VARCHAR(255), lead VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24775
} |
I want the lead for others being 5% | SELECT lead FROM table_name_58 WHERE others = '5%' | CREATE TABLE table_name_58 (lead VARCHAR(255), others VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24776
} |
I want the plaid cymru for 4 may 2011 | SELECT plaid_cymru FROM table_name_9 WHERE date_s__conducted = '4 may 2011' | CREATE TABLE table_name_9 (plaid_cymru VARCHAR(255), date_s__conducted VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24777
} |
I want the plaid cymru for Polling organisation/client of yougov/itv wales for 4 may 2011 | SELECT plaid_cymru FROM table_name_77 WHERE polling_organisation_client = 'yougov/itv wales' AND date_s__conducted = '4 may 2011' | CREATE TABLE table_name_77 (plaid_cymru VARCHAR(255), polling_organisation_client VARCHAR(255), date_s__conducted VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24778
} |
Name the others for cons of 21% and lead of 24% | SELECT others FROM table_name_60 WHERE cons = '21%' AND lead = '24%' | CREATE TABLE table_name_60 (others VARCHAR(255), cons VARCHAR(255), lead VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24779
} |
Tell me the dates conducted for plaid cymru of 19% | SELECT date_s__conducted FROM table_name_69 WHERE plaid_cymru = '19%' | CREATE TABLE table_name_69 (date_s__conducted VARCHAR(255), plaid_cymru VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24780
} |
What was the score on 20/6/97? | SELECT score FROM table_name_9 WHERE date = '20/6/97' | CREATE TABLE table_name_9 (score VARCHAR(255), date VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24781
} |
What was the score on 20/6/97? | SELECT score FROM table_name_83 WHERE date = '20/6/97' | CREATE TABLE table_name_83 (score VARCHAR(255), date VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24782
} |
What were the tries on 14/6/97? | SELECT tries FROM table_name_10 WHERE date = '14/6/97' | CREATE TABLE table_name_10 (tries VARCHAR(255), date VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24783
} |
What were the goals on 3/10/97? | SELECT goals FROM table_name_86 WHERE date = '3/10/97' | CREATE TABLE table_name_86 (goals VARCHAR(255), date VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24784
} |
Tell me the laps for 3 grids | SELECT laps FROM table_name_67 WHERE grid = 3 | CREATE TABLE table_name_67 (laps VARCHAR(255), grid VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24785
} |
What was the Away team score for Footscray? | SELECT away_team AS score FROM table_name_44 WHERE away_team = 'footscray' | CREATE TABLE table_name_44 (away_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": 24786
} |
What was the Home team score for the team that played South Melbourne? | SELECT home_team AS score FROM table_name_36 WHERE away_team = 'south melbourne' | CREATE TABLE table_name_36 (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": 24787
} |
Tell me the sum of interview for evening gown more than 8.37 and average of 8.363 | SELECT SUM(interview) FROM table_name_57 WHERE average = 8.363 AND evening_gown > 8.37 | CREATE TABLE table_name_57 (interview INTEGER, average VARCHAR(255), evening_gown VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24788
} |
Name the total number of swimsuits for evening gowns less than 8.21 and average of 8.453 with interview less than 9.09 | SELECT COUNT(swimsuit) FROM table_name_54 WHERE interview < 9.09 AND evening_gown < 8.21 AND average = 8.453 | CREATE TABLE table_name_54 (swimsuit VARCHAR(255), average VARCHAR(255), interview VARCHAR(255), evening_gown VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24789
} |
Name the state with an evening gown more than 8.86 and interview less than 8.7 and swimsuit less than 8.96 | SELECT state FROM table_name_84 WHERE evening_gown > 8.86 AND swimsuit < 8.96 AND interview < 8.7 | CREATE TABLE table_name_84 (state VARCHAR(255), interview VARCHAR(255), evening_gown VARCHAR(255), swimsuit VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24790
} |
What is the total stellar mass of the type m0? | SELECT SUM(stellar_mass___m__) FROM table_name_57 WHERE type = 'm0' | CREATE TABLE table_name_57 (stellar_mass___m__ INTEGER, type VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24791
} |
What is the highest planetary mass having an RV (cm/s) of 65 and a Period (days) less than 21? | SELECT MAX(planetary_mass___m) AS ⊕__ FROM table_name_5 WHERE rv__cm_s_ = 65 AND period__days_ < 21 | CREATE TABLE table_name_5 (planetary_mass___m INTEGER, rv__cm_s_ VARCHAR(255), period__days_ VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24792
} |
What is the smallest period (days) to have a planetary mass of 1, a stellar mass greater than 0.21 and of the type M0? | SELECT MIN(period__days_) FROM table_name_1 WHERE planetary_mass___m⊕__ = 1 AND stellar_mass___m__ > 0.21 AND type = 'm0' | CREATE TABLE table_name_1 (period__days_ INTEGER, type VARCHAR(255), planetary_mass___m⊕__ VARCHAR(255), stellar_mass___m__ VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24793
} |
What is the average word count with crs and subframes lesser than 2? | SELECT AVG(word__number) FROM table_name_9 WHERE name = 'crs' AND subframe__number < 2 | CREATE TABLE table_name_9 (word__number INTEGER, name VARCHAR(255), subframe__number VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24794
} |
What is the page count and word count greater than 5 with Bits of 18–22? | SELECT page__number FROM table_name_79 WHERE word__number > 5 AND bits = '18–22' | CREATE TABLE table_name_79 (page__number VARCHAR(255), word__number VARCHAR(255), bits VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 24795
} |
What is the total subframe count with Bits of 18–22? | SELECT SUM(subframe__number) FROM table_name_48 WHERE bits = '18–22' | CREATE TABLE table_name_48 (subframe__number INTEGER, bits VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24796
} |
How many attended tie number 19? | SELECT SUM(attendance) FROM table_name_76 WHERE tie_no = 19 | CREATE TABLE table_name_76 (attendance INTEGER, tie_no VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 24797
} |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.