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 different civil parishes is Canrooska a part of? | SELECT COUNT(civil_parish) FROM table_30120555_1 WHERE townland = 'Canrooska' | CREATE TABLE table_30120555_1 (civil_parish VARCHAR(255), townland VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8498
} |
What poor law union is Curradonohoe a part of? | SELECT poor_law_union FROM table_30120555_1 WHERE townland = 'Curradonohoe' | CREATE TABLE table_30120555_1 (poor_law_union VARCHAR(255), townland VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8499
} |
What is the barony for the Ballintaggart townland? | SELECT barony FROM table_30120619_1 WHERE townland = 'Ballintaggart' | CREATE TABLE table_30120619_1 (barony VARCHAR(255), townland VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8500
} |
What is the poor law union for the Barnahely towland? | SELECT poor_law_union FROM table_30120619_1 WHERE townland = 'Barnahely' | CREATE TABLE table_30120619_1 (poor_law_union VARCHAR(255), townland VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8501
} |
What is the barony of the townland whose area is 150 acres? | SELECT barony FROM table_30120619_1 WHERE area__acres__ = 150 | CREATE TABLE table_30120619_1 (barony VARCHAR(255), area__acres__ VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8502
} |
In which townlands is the civil parish Monkstown? | SELECT townland FROM table_30120619_1 WHERE civil_parish = 'Monkstown' | CREATE TABLE table_30120619_1 (townland VARCHAR(255), civil_parish VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8503
} |
Which townland has an area of 165 acres? | SELECT townland FROM table_30120619_1 WHERE area__acres__ = 165 | CREATE TABLE table_30120619_1 (townland VARCHAR(255), area__acres__ VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8504
} |
Name the total number of barony for kilmore | SELECT COUNT(barony) FROM table_30120559_1 WHERE townland = 'Kilmore' | CREATE TABLE table_30120559_1 (barony VARCHAR(255), townland VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8505
} |
Name the poor law union for area being 332 | SELECT COUNT(poor_law_union) FROM table_30120559_1 WHERE area__acres__ = 332 | CREATE TABLE table_30120559_1 (poor_law_union VARCHAR(255), area__acres__ VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8506
} |
How many townlands are there for caheragh and is larger than 270 acres? | SELECT COUNT(townland) FROM table_30121096_1 WHERE civil_parish = 'Caheragh' AND area__acres__ = 270 | CREATE TABLE table_30121096_1 (townland VARCHAR(255), civil_parish VARCHAR(255), area__acres__ VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 8507
} |
Which civil parish is for the townland clooncugger? | SELECT civil_parish FROM table_30121096_1 WHERE townland = 'Clooncugger' | CREATE TABLE table_30121096_1 (civil_parish VARCHAR(255), townland VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8508
} |
How many poor law unions have an area of 262 acres and is in drinagh civil parish? | SELECT COUNT(poor_law_union) FROM table_30121096_1 WHERE area__acres__ = 262 AND civil_parish = 'Drinagh' | CREATE TABLE table_30121096_1 (poor_law_union VARCHAR(255), area__acres__ VARCHAR(255), civil_parish VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 8509
} |
How many current account balances are associated with GDP at constant prices growth rates of 4.6? | SELECT COUNT(current_account_balance__percent_of_gdp_) FROM table_30133_1 WHERE gdp_at_constant_prices_growth_rate__percent_change_ = '4.6' | CREATE TABLE table_30133_1 (current_account_balance__percent_of_gdp_ VARCHAR(255), gdp_at_constant_prices_growth_rate__percent_change_ VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8510
} |
How many export volume of goods/services values are associated with GDP at constant prices values of 3.072? | SELECT COUNT(export_volume_of_goods_and_services__percent_change_) FROM table_30133_1 WHERE gdp_at_constant_prices__thb_trillions_ = '3.072' | CREATE TABLE table_30133_1 (export_volume_of_goods_and_services__percent_change_ VARCHAR(255), gdp_at_constant_prices__thb_trillions_ VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8511
} |
How many export volume of goods and services values are associated with GDP at current prices of 161.340? | SELECT COUNT(export_volume_of_goods_and_services__percent_change_) FROM table_30133_1 WHERE gdp_at_current_prices__usd_billions_ = '161.340' | CREATE TABLE table_30133_1 (export_volume_of_goods_and_services__percent_change_ VARCHAR(255), gdp_at_current_prices__usd_billions_ VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8512
} |
What is the current account balance for an export volume of goods and service value of -4.2? | SELECT current_account_balance__percent_of_gdp_ FROM table_30133_1 WHERE export_volume_of_goods_and_services__percent_change_ = '-4.2' | CREATE TABLE table_30133_1 (current_account_balance__percent_of_gdp_ VARCHAR(255), export_volume_of_goods_and_services__percent_change_ VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8513
} |
What is the current account balance for a GDP at current prices of 142.640? | SELECT current_account_balance__percent_of_gdp_ FROM table_30133_1 WHERE gdp_at_current_prices__usd_billions_ = '142.640' | CREATE TABLE table_30133_1 (current_account_balance__percent_of_gdp_ VARCHAR(255), gdp_at_current_prices__usd_billions_ VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8514
} |
What is the GDP at constant prices for a current account balance of 12.8? | SELECT gdp_at_constant_prices__thb_trillions_ FROM table_30133_1 WHERE current_account_balance__percent_of_gdp_ = '12.8' | CREATE TABLE table_30133_1 (gdp_at_constant_prices__thb_trillions_ VARCHAR(255), current_account_balance__percent_of_gdp_ VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8515
} |
Tell me the games for total less than 4 for swimming 1968 | SELECT games FROM table_name_87 WHERE total < 4 AND sport = 'swimming' AND years = '1968' | CREATE TABLE table_name_87 (games VARCHAR(255), years VARCHAR(255), total VARCHAR(255), sport VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 8516
} |
Tell me the total number of bronze for silver being 0 and sport of wrestling and total more than 3 | SELECT COUNT(bronze) FROM table_name_16 WHERE silver = 0 AND sport = 'wrestling' AND total > 3 | CREATE TABLE table_name_16 (bronze VARCHAR(255), total VARCHAR(255), silver VARCHAR(255), sport VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 8517
} |
Tell me the lowest Bronze for gold of 3 in the winter for cross-country skiing and silver less than 0 | SELECT MIN(bronze) FROM table_name_56 WHERE gold = 3 AND games = 'winter' AND sport = 'cross-country skiing' AND silver < 0 | CREATE TABLE table_name_56 (bronze INTEGER, silver VARCHAR(255), sport VARCHAR(255), gold VARCHAR(255), games VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 8518
} |
What is the lowest round for an offensive guard when the overall is smaller than 150? | SELECT MIN(round) FROM table_name_59 WHERE overall < 150 AND position = 'offensive guard' | CREATE TABLE table_name_59 (round INTEGER, overall VARCHAR(255), position VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 8519
} |
Which college was the player selected from in round 1? | SELECT college FROM table_name_43 WHERE round = 1 | CREATE TABLE table_name_43 (college VARCHAR(255), round VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8520
} |
Tell me the DA for bureau chief ada | SELECT district_attorney FROM table_name_22 WHERE position = 'bureau chief ada' | CREATE TABLE table_name_22 (district_attorney VARCHAR(255), position VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8521
} |
Tell me the left office for enrico la loggia | SELECT left_office FROM table_name_83 WHERE minister = 'enrico la loggia' | CREATE TABLE table_name_83 (left_office VARCHAR(255), minister VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8522
} |
Tell me the portfolio of minister of carlo giovanardi | SELECT portfolio FROM table_name_77 WHERE minister = 'carlo giovanardi' | CREATE TABLE table_name_77 (portfolio VARCHAR(255), minister VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8523
} |
Tell me the left office for mirko tremaglia | SELECT left_office FROM table_name_20 WHERE minister = 'mirko tremaglia' | CREATE TABLE table_name_20 (left_office VARCHAR(255), minister VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8524
} |
What School/Club Team has a Player named Juan Dixon and a Position of guard? | SELECT school_club_team FROM table_name_58 WHERE position = 'guard' AND player = 'juan dixon' | CREATE TABLE table_name_58 (school_club_team VARCHAR(255), position VARCHAR(255), player VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 8525
} |
Which Player's Position is guard and played in Toronto during the Years 2007-08? | SELECT player FROM table_name_16 WHERE position = 'guard' AND years_in_toronto = '2007-08' | CREATE TABLE table_name_16 (player VARCHAR(255), position VARCHAR(255), years_in_toronto VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 8526
} |
What Player is from Argentina and whose position is a guard-forward? | SELECT player FROM table_name_9 WHERE position = 'guard-forward' AND nationality = 'argentina' | CREATE TABLE table_name_9 (player VARCHAR(255), position VARCHAR(255), nationality VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 8527
} |
What School/Club Team played in Toronto during 2012? | SELECT school_club_team FROM table_name_43 WHERE years_in_toronto = '2012' | CREATE TABLE table_name_43 (school_club_team VARCHAR(255), years_in_toronto 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": 8528
} |
What was the result of the syracuse grand prix? | SELECT result FROM table_name_80 WHERE event = 'syracuse grand prix' | CREATE TABLE table_name_80 (result VARCHAR(255), event 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": 8529
} |
What year has a result of 3 in the venue of Jarama. | SELECT MIN(year) FROM table_name_25 WHERE result = '3' AND venue = 'jarama' | CREATE TABLE table_name_25 (year INTEGER, result VARCHAR(255), venue 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": 8530
} |
Tell me the highest opponents for record of 7-3 and vikings points more than 7 | SELECT MAX(opponents) FROM table_name_97 WHERE record = '7-3' AND vikings_points > 7 | CREATE TABLE table_name_97 (opponents INTEGER, record VARCHAR(255), vikings_points 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": 8531
} |
Tell me the most attendance for game less than 1 | SELECT MAX(attendance) FROM table_name_15 WHERE game < 1 | CREATE TABLE table_name_15 (attendance INTEGER, game 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": 8532
} |
Tell me the surface of 2 december 1974 | SELECT surface FROM table_name_58 WHERE date = '2 december 1974' | CREATE TABLE table_name_58 (surface 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": 8533
} |
Name the score for moscow, ussr 15 february 1971 | SELECT score_in_the_final FROM table_name_57 WHERE location = 'moscow, ussr' AND date = '15 february 1971' | CREATE TABLE table_name_57 (score_in_the_final VARCHAR(255), location VARCHAR(255), date 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": 8534
} |
Name the lowest year for 12th position | SELECT MIN(year) FROM table_name_4 WHERE position = '12th' | CREATE TABLE table_name_4 (year INTEGER, position 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": 8535
} |
Tell me the competition for half marathon | SELECT competition FROM table_name_70 WHERE notes = 'half marathon' | CREATE TABLE table_name_70 (competition VARCHAR(255), notes 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": 8536
} |
Tell me the category of na director | SELECT category FROM table_name_75 WHERE director = 'na' | CREATE TABLE table_name_75 (category VARCHAR(255), director 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": 8537
} |
I want to know the highest heat rank for overall rank of t63 and time less than 25.47 | SELECT MAX(heat_rank) FROM table_name_88 WHERE overall_rank = 't63' AND time < 25.47 | CREATE TABLE table_name_88 (heat_rank INTEGER, overall_rank VARCHAR(255), time 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": 8538
} |
Tell me the country for lane of 6 | SELECT country FROM table_name_66 WHERE lane = 6 | CREATE TABLE table_name_66 (country VARCHAR(255), lane 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": 8539
} |
Tell me the overall rank for heat rank of 8 | SELECT overall_rank FROM table_name_60 WHERE heat_rank = 8 | CREATE TABLE table_name_60 (overall_rank VARCHAR(255), heat_rank 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": 8540
} |
Tell me the position of chris clark | SELECT position FROM table_name_8 WHERE player = 'chris clark' | CREATE TABLE table_name_8 (position 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": 8541
} |
Tell me the nhl team for 74 | SELECT nhl_team FROM table_name_75 WHERE pick = '74' | CREATE TABLE table_name_75 (nhl_team VARCHAR(255), pick 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": 8542
} |
Tell me the pick for canada centre | SELECT pick FROM table_name_74 WHERE position = 'centre' AND nationality = 'canada' | CREATE TABLE table_name_74 (pick VARCHAR(255), position VARCHAR(255), nationality 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": 8543
} |
Which team has a rank of 6? | SELECT team FROM table_name_43 WHERE rank = 6 | CREATE TABLE table_name_43 (team VARCHAR, rank VARCHAR, id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8547
} |
Tell me the VIN code for compression ratio of 10.50:1 | SELECT vin_code FROM table_name_7 WHERE compression_ratio = '10.50:1' | CREATE TABLE table_name_7 (vin_code VARCHAR, compression_ratio VARCHAR, id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8550
} |
Tell me the network for 13 january 2009 | SELECT network FROM table_name_80 WHERE premiere = '13 january 2009' | CREATE TABLE table_name_80 (network VARCHAR, premiere VARCHAR, id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8551
} |
Tell me the prize for belgium | SELECT prize FROM table_name_53 WHERE country_region = 'belgium' | CREATE TABLE table_name_53 (prize VARCHAR, country_region VARCHAR, id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8552
} |
Tell me the host for rtl-tvi | SELECT host FROM table_name_6 WHERE network = 'rtl-tvi' | CREATE TABLE table_name_6 (host VARCHAR, network VARCHAR, id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8554
} |
I want to meet that has a time 2:15.93 | SELECT meet FROM table_name_92 WHERE time = '2:15.93' | CREATE TABLE table_name_92 (meet VARCHAR, time VARCHAR, id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8555
} |
Tell me the title of work for year more than 2009 | SELECT title_of_work FROM table_name_17 WHERE year > 2009 | CREATE TABLE table_name_17 (title_of_work VARCHAR, year 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": 8557
} |
What was the result of Bridgeview, Illinois? | SELECT result FROM table_name_33 WHERE venue = 'bridgeview, illinois' | CREATE TABLE table_name_33 (result VARCHAR, venue VARCHAR, id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8559
} |
When did a Competition of friendly, and a Score of 2–1, and a Venue of philadelphia , pennsylvania occur? | SELECT date FROM table_name_4 WHERE competition = 'friendly' AND score = '2–1' AND venue = 'philadelphia , pennsylvania' | CREATE TABLE table_name_4 (date VARCHAR(255), venue VARCHAR(255), competition VARCHAR(255), score VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 8560
} |
What was the score on June 28, 2009? | SELECT score FROM table_name_56 WHERE date = 'june 28, 2009' | CREATE TABLE table_name_56 (score VARCHAR(255), date VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8561
} |
Tell me the nationality of pick 140 | SELECT nationality FROM table_name_67 WHERE pick = '140' | CREATE TABLE table_name_67 (nationality VARCHAR(255), pick VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8562
} |
Tell me the position for pick of 146 | SELECT position FROM table_name_7 WHERE pick = '146' | CREATE TABLE table_name_7 (position VARCHAR(255), pick VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8563
} |
Tell me the NHL team for mike gaffney | SELECT nhl_team FROM table_name_53 WHERE player = 'mike gaffney' | CREATE TABLE table_name_53 (nhl_team VARCHAR(255), player VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8564
} |
Tell me the nationality of pick of 153 | SELECT nationality FROM table_name_85 WHERE pick = '153' | CREATE TABLE table_name_85 (nationality VARCHAR(255), pick VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8565
} |
Tell me the player for pick of 145 | SELECT player FROM table_name_9 WHERE pick = '145' | CREATE TABLE table_name_9 (player VARCHAR(255), pick VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8566
} |
What tournament took place on October 11, 2013? | SELECT tournament FROM table_name_23 WHERE date = 'october 11, 2013' | CREATE TABLE table_name_23 (tournament VARCHAR(255), date VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8567
} |
Which tournament took place on June 18, 2013? | SELECT tournament FROM table_name_94 WHERE date = 'june 18, 2013' | CREATE TABLE table_name_94 (tournament VARCHAR(255), date VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8568
} |
What is the average week on November 7, 1976 with an attendance less than 46,735? | SELECT AVG(week) FROM table_name_94 WHERE date = 'november 7, 1976' AND attendance < 46 OFFSET 735 | CREATE TABLE table_name_94 (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": 8569
} |
Who is the opponent for week 5? | SELECT opponent FROM table_name_96 WHERE week = 5 | CREATE TABLE table_name_96 (opponent VARCHAR(255), week VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8570
} |
Tell me the highest overall rank for heat rank more than 4 and lane less than 2 | SELECT MAX(overall_rank) FROM table_name_68 WHERE heat_rank > 4 AND lane < 2 | CREATE TABLE table_name_68 (overall_rank INTEGER, heat_rank VARCHAR(255), lane VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 8571
} |
Who is the partner with a runner-up outcome on April 6, 1992? | SELECT partner FROM table_name_26 WHERE outcome = 'runner-up' AND date = 'april 6, 1992' | CREATE TABLE table_name_26 (partner VARCHAR(255), outcome VARCHAR(255), date VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 8572
} |
What outcome occurs on a hard surface with a score of 4–6, 6–7(3)? | SELECT outcome FROM table_name_3 WHERE surface = 'hard' AND score = '4–6, 6–7(3)' | CREATE TABLE table_name_3 (outcome VARCHAR(255), surface VARCHAR(255), score VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 8573
} |
On what date did Lori McNeil play as a partner with a score of 6–7(6), 5–7? | SELECT date FROM table_name_84 WHERE partner = 'lori mcneil' AND score = '6–7(6), 5–7' | CREATE TABLE table_name_84 (date VARCHAR(255), partner VARCHAR(255), score VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 8574
} |
What is the most losses that the Royals had when they had a percentage over 0.461, won over 86 games, and finished 2nd in 1953? | SELECT MAX(losses) FROM table_name_62 WHERE percentage > 0.461 AND wins > 86 AND finish = '2nd' AND year = 1953 | CREATE TABLE table_name_62 (losses INTEGER, year VARCHAR(255), finish VARCHAR(255), percentage VARCHAR(255), wins VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 8575
} |
Tell the opponent of eastbourne with score of 6–0, 5–7, 3–6 | SELECT opponent FROM table_name_59 WHERE tournament = 'eastbourne' AND score = '6–0, 5–7, 3–6' | CREATE TABLE table_name_59 (opponent VARCHAR(255), tournament VARCHAR(255), score VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 8576
} |
Tell me the outcome of 2–6, 1–6 | SELECT outcome FROM table_name_40 WHERE score = '2–6, 1–6' | CREATE TABLE table_name_40 (outcome VARCHAR(255), score VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8577
} |
Tell me the surface for eastbourne 14 june 1999 | SELECT surface FROM table_name_6 WHERE tournament = 'eastbourne' AND date = '14 june 1999' | CREATE TABLE table_name_6 (surface VARCHAR(255), tournament VARCHAR(255), date VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 8578
} |
Tell me the category for result of won and year more than 2009 | SELECT category FROM table_name_77 WHERE result = 'won' AND year > 2009 | CREATE TABLE table_name_77 (category VARCHAR(255), result VARCHAR(255), year VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 8579
} |
Tell me the nominated work larger than 2011 | SELECT nominated_work FROM table_name_54 WHERE year > 2011 | CREATE TABLE table_name_54 (nominated_work VARCHAR(255), year INTEGER) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8580
} |
Tell me the result for primetime emmy awards | SELECT result FROM table_name_94 WHERE association = 'primetime emmy awards' | CREATE TABLE table_name_94 (result VARCHAR(255), association VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8581
} |
What competition was held 1 March 1909? | SELECT competition FROM table_name_31 WHERE date = '1 march 1909' | CREATE TABLE table_name_31 (competition VARCHAR(255), date VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8582
} |
Tell me the total number of gold for total less than 1 | SELECT COUNT(gold) FROM table_name_62 WHERE total < 1 | CREATE TABLE table_name_62 (gold VARCHAR(255), total INTEGER) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8583
} |
Tell me the model for total production of 1347 | SELECT model FROM table_name_30 WHERE total_production = 1347 | CREATE TABLE table_name_30 (model VARCHAR(255), total_production VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8584
} |
What is the total amount of Gold from guatemala and silver smaller than 0? | SELECT SUM(gold) FROM table_name_88 WHERE nation = 'guatemala' AND silver < 0 | CREATE TABLE table_name_88 (gold INTEGER, nation VARCHAR(255), silver VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 8585
} |
Tell me the event for 2012 london games | SELECT event FROM table_name_70 WHERE games = '2012 london' | CREATE TABLE table_name_70 (event VARCHAR(255), games VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8586
} |
Tell me the games for men's 5000 metres | SELECT games FROM table_name_18 WHERE event = 'men''s 5000 metres' | CREATE TABLE table_name_18 (games VARCHAR(255), event VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8587
} |
When did the w 20-19 happen? | SELECT date FROM table_name_72 WHERE result = 'w 20-19' | CREATE TABLE table_name_72 (date VARCHAR(255), result VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8588
} |
What was the attendance of the w 28-13 game? | SELECT attendance FROM table_name_61 WHERE result = 'w 28-13' | CREATE TABLE table_name_61 (attendance VARCHAR(255), result VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8589
} |
Tell me the voting turnout for 1985 general elections | SELECT voting_turnout FROM table_name_91 WHERE general_elections = 1985 | CREATE TABLE table_name_91 (voting_turnout VARCHAR(255), general_elections VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8590
} |
What is total number of wins for England? | SELECT SUM(total) FROM table_name_59 WHERE nation = 'england' | CREATE TABLE table_name_59 (total INTEGER, nation VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 8591
} |
The Soviet Union has won more than 2 Silver, but how many Bronzes? | SELECT COUNT(bronze) FROM table_name_44 WHERE nation = 'soviet union' AND silver > 2 | CREATE TABLE table_name_44 (bronze VARCHAR(255), nation VARCHAR(255), silver 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": 8592
} |
Which Alliance Constituency has Seamus Close, position 2 and an election smaller than 1997? | SELECT constituency FROM table_name_41 WHERE party = 'alliance' AND election < 1997 AND position = 2 AND candidate = 'seamus close' | CREATE TABLE table_name_41 (constituency VARCHAR(255), candidate VARCHAR(255), position VARCHAR(255), party VARCHAR(255), election 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": 8593
} |
I want the average for evening gown of 7.52 and swimsuit larger than 7.78 | SELECT AVG(average) FROM table_name_54 WHERE evening_gown = 7.52 AND swimsuit > 7.78 | CREATE TABLE table_name_54 (average INTEGER, evening_gown VARCHAR(255), swimsuit 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": 8594
} |
Tell me the lowest interview for oklahoma and swimsuit less than 8.8 | SELECT MIN(interview) FROM table_name_46 WHERE state = 'oklahoma' AND swimsuit < 8.8 | CREATE TABLE table_name_46 (interview INTEGER, state VARCHAR(255), swimsuit 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": 8595
} |
Tell me the sum of evening gown for average of 9.06 and swimsuit less than 8.76 | SELECT SUM(evening_gown) FROM table_name_53 WHERE average = 9.06 AND swimsuit < 8.76 | CREATE TABLE table_name_53 (evening_gown INTEGER, average VARCHAR(255), swimsuit 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": 8596
} |
Tell me the highest interview for north carolina and evening gown more than 7.68 | SELECT MAX(interview) FROM table_name_19 WHERE state = 'north carolina' AND evening_gown > 7.68 | CREATE TABLE table_name_19 (interview INTEGER, state VARCHAR(255), evening_gown 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": 8597
} |
Which NCAA Tournament Appearances have Conference Titles that are larger than 0, NCAA Titles of 0, and were coached by Lou Watson? | SELECT ncaa_tourn_appearances FROM table_name_3 WHERE conference_titles > '0' AND ncaa_titles = '0' AND coach = 'lou watson' | CREATE TABLE table_name_3 (ncaa_tourn_appearances VARCHAR(255), coach VARCHAR(255), conference_titles VARCHAR(255), ncaa_titles 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": 8598
} |
Tell me the category for 2012 and drama league award | SELECT category FROM table_name_92 WHERE year = 2012 AND award = 'drama league award' | CREATE TABLE table_name_92 (category VARCHAR(255), year VARCHAR(255), award 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": 8599
} |
Tell me the highest time for spain and lane larger than 8 | SELECT MAX(time) FROM table_name_35 WHERE country = 'spain' AND lane > 8 | CREATE TABLE table_name_35 (time INTEGER, country VARCHAR(255), lane 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": 8600
} |
Tell me the average heat rank for time less than 24.02 and lane of 1 | SELECT AVG(heat_rank) FROM table_name_15 WHERE time < 24.02 AND lane = 1 | CREATE TABLE table_name_15 (heat_rank INTEGER, time VARCHAR(255), lane 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": 8601
} |
Tell me the total number of time for heat rank of 1 | SELECT COUNT(time) FROM table_name_90 WHERE heat_rank = 1 | CREATE TABLE table_name_90 (time VARCHAR(255), heat_rank 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": 8602
} |
What would the LCD screen size and pixels be for the coolpix 5700? | SELECT lcd_screen_size, _pixels FROM table_name_93 WHERE model = 'coolpix 5700' | CREATE TABLE table_name_93 (lcd_screen_size VARCHAR(255), _pixels VARCHAR(255), model 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": 8603
} |
What is the lens zoom and aperture for the coolpix 5400? | SELECT lens__35mm_equiv__zoom, _aperture FROM table_name_79 WHERE model = 'coolpix 5400' | CREATE TABLE table_name_79 (lens__35mm_equiv__zoom VARCHAR(255), _aperture VARCHAR(255), model 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": 8604
} |
What is the average number of rounds when fighting against Clay Guida? | SELECT AVG(round) FROM table_name_54 WHERE opponent = 'clay guida' | CREATE TABLE table_name_54 (round INTEGER, 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": 8605
} |
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