predictions.jsonl

{"id": 0, "instruction": "A list of the top 5 countries by number of invoices. List country name and number of invoices.", "input": "CREATE TABLE invoices (billing_country VARCHAR)", "prediction": "SELECT billing_country, COUNT(*) FROM invoices GROUP BY billing_country ORDER BY COUNT(*) DESC LIMIT 5", "gold": "SELECT billing_country, COUNT(*) FROM invoices GROUP BY billing_country ORDER BY COUNT(*) DESC LIMIT 5", "scores": {"exact_match": 1.0}}
{"id": 1, "instruction": "Which kingdom has Suin as its capital?", "input": "CREATE TABLE table_name_65 (name_of_kingdom VARCHAR, capital VARCHAR)", "prediction": "SELECT name_of_kingdom FROM table_name_65 WHERE capital = \"suin\"", "gold": "SELECT name_of_kingdom FROM table_name_65 WHERE capital = \"suin\"", "scores": {"exact_match": 1.0}}
{"id": 2, "instruction": "What Score has a Place of t2, and a Country of england?", "input": "CREATE TABLE table_name_75 (score VARCHAR, place VARCHAR, country VARCHAR)", "prediction": "SELECT score FROM table_name_75 WHERE place = \"t2\" AND country = \"england\"", "gold": "SELECT score FROM table_name_75 WHERE place = \"t2\" AND country = \"england\"", "scores": {"exact_match": 1.0}}
{"id": 3, "instruction": "Which nationality is kitchener rangers (ohl) college/junior/club team?", "input": "CREATE TABLE table_21721351_18 (nationality VARCHAR, college_junior_club_team VARCHAR)", "prediction": "SELECT nationality FROM table_21721351_18 WHERE college_junior_club_team = \"Kitchener Rangers (OHL)\"", "gold": "SELECT nationality FROM table_21721351_18 WHERE college_junior_club_team = \"Kitchener Rangers (OHL)\"", "scores": {"exact_match": 1.0}}
{"id": 4, "instruction": "What is the highest number of stories in homes with a height of 42 m.?", "input": "CREATE TABLE table_name_7 (stories INTEGER, height VARCHAR)", "prediction": "SELECT MAX(stories) FROM table_name_7 WHERE height = \"42 m.\"", "gold": "SELECT MAX(stories) FROM table_name_7 WHERE height = \"42 m.\"", "scores": {"exact_match": 1.0}}
{"id": 5, "instruction": "What is the score [A] of the match on 19 September 1998?", "input": "CREATE TABLE table_name_49 (score_ VARCHAR, a_ VARCHAR, date VARCHAR)", "prediction": "SELECT score_[a_] FROM table_name_49 WHERE a_ = \"a\" AND date = \"19 september 1998\"", "gold": "SELECT score_[a_] FROM table_name_49 WHERE date = \"19 september 1998\"", "scores": {"exact_match": 0.0}}
{"id": 6, "instruction": "What is the the name of the winner or 2nd  with a weight more than 7.3, and the result was –?", "input": "CREATE TABLE table_name_41 (winner_or_2nd VARCHAR, weight VARCHAR, result VARCHAR)", "prediction": "SELECT winner_or_2nd FROM table_name_41 WHERE weight > 7.3 AND result = \"–\"", "gold": "SELECT winner_or_2nd FROM table_name_41 WHERE weight > 7.3 AND result = \"–\"", "scores": {"exact_match": 1.0}}
{"id": 7, "instruction": "When the date is 8 october 2008 what is the sum of attendance?", "input": "CREATE TABLE table_name_62 (attendance INTEGER, date VARCHAR)", "prediction": "SELECT SUM(attendance) FROM table_name_62 WHERE date = \"8 october 2008\"", "gold": "SELECT SUM(attendance) FROM table_name_62 WHERE date = \"8 october 2008\"", "scores": {"exact_match": 1.0}}
{"id": 8, "instruction": "What was the format for the 4 disc season that had less than 22 episodes and n/a for region 4?", "input": "CREATE TABLE table_name_86 (format VARCHAR, region_4 VARCHAR, _number_episodes VARCHAR, _number_disc_s_ VARCHAR)", "prediction": "SELECT format FROM table_name_86 WHERE _number_episodes < 22 AND _number_disc_s_ = \"4\" AND region_4 = \"n/a\"", "gold": "SELECT format FROM table_name_86 WHERE _number_episodes < 22 AND _number_disc_s_ = 4 AND region_4 = \"n/a\"", "scores": {"exact_match": 0.0}}
{"id": 9, "instruction": "Name the venue for 25 may 2008", "input": "CREATE TABLE table_name_94 (venue VARCHAR, date VARCHAR)", "prediction": "SELECT venue FROM table_name_94 WHERE date = \"25 may 2008\"", "gold": "SELECT venue FROM table_name_94 WHERE date = \"25 may 2008\"", "scores": {"exact_match": 1.0}}
{"id": 10, "instruction": "What is the label for catalog number CRG3P-90054?", "input": "CREATE TABLE table_name_96 (label VARCHAR, catalog VARCHAR)", "prediction": "SELECT label FROM table_name_96 WHERE catalog = \"crg3p-90054\"", "gold": "SELECT label FROM table_name_96 WHERE catalog = \"crg3p-90054\"", "scores": {"exact_match": 1.0}}
{"id": 11, "instruction": "when does the train arriving at bourne at 11.45 departure", "input": "CREATE TABLE table_18333678_2 (departure VARCHAR, going_to VARCHAR, arrival VARCHAR)", "prediction": "SELECT departure FROM table_18333678_2 WHERE going_to = \"Bourne\" AND arrival = \"11:45\"", "gold": "SELECT departure FROM table_18333678_2 WHERE going_to = \"Bourne\" AND arrival = \"11.45\"", "scores": {"exact_match": 0.0}}
{"id": 12, "instruction": "What is the lowest against that has less than 9 wins, and draws smaller than 0?", "input": "CREATE TABLE table_name_84 (against INTEGER, wins VARCHAR, draws VARCHAR)", "prediction": "SELECT MIN(against) FROM table_name_84 WHERE wins < 9 AND draws < 0", "gold": "SELECT MIN(against) FROM table_name_84 WHERE wins < 9 AND draws < 0", "scores": {"exact_match": 1.0}}
{"id": 13, "instruction": "Name the team where the date is november 17", "input": "CREATE TABLE table_17355716_5 (team VARCHAR, date VARCHAR)", "prediction": "SELECT team FROM table_17355716_5 WHERE date = \"November 17\"", "gold": "SELECT team FROM table_17355716_5 WHERE date = \"November 17\"", "scores": {"exact_match": 1.0}}
{"id": 14, "instruction": "How much money does player ben crenshaw, who has a t4 place, have?", "input": "CREATE TABLE table_name_36 (money___$__ VARCHAR, place VARCHAR, player VARCHAR)", "prediction": "SELECT money___$__ FROM table_name_36 WHERE place = \"t4\" AND player = \"ben crenshaw\"", "gold": "SELECT money___$__ FROM table_name_36 WHERE place = \"t4\" AND player = \"ben crenshaw\"", "scores": {"exact_match": 1.0}}
{"id": 15, "instruction": "Which Date has a Home of minnesota?", "input": "CREATE TABLE table_name_25 (date VARCHAR, home VARCHAR)", "prediction": "SELECT date FROM table_name_25 WHERE home = \"minnesota\"", "gold": "SELECT date FROM table_name_25 WHERE home = \"minnesota\"", "scores": {"exact_match": 1.0}}
{"id": 16, "instruction": "At what location and what was the attendance when Rafer Alston (10) achieved high assists?", "input": "CREATE TABLE table_17288825_7 (location_attendance VARCHAR, high_assists VARCHAR)", "prediction": "SELECT location_attendance FROM table_17288825_7 WHERE high_assists = \"Rafer Alston (10)\"", "gold": "SELECT location_attendance FROM table_17288825_7 WHERE high_assists = \"Rafer Alston (10)\"", "scores": {"exact_match": 1.0}}
{"id": 17, "instruction": "How many home team scores have a time of 4:40 PM?", "input": "CREATE TABLE table_14425454_1 (home_team VARCHAR, time VARCHAR)", "prediction": "SELECT COUNT(home_team) AS score FROM table_14425454_1 WHERE time = \"4:40 PM\"", "gold": "SELECT COUNT(home_team) AS score FROM table_14425454_1 WHERE time = \"4:40 PM\"", "scores": {"exact_match": 1.0}}
{"id": 18, "instruction": "What party did Don Fuqua belong to?", "input": "CREATE TABLE table_1341865_11 (party VARCHAR, incumbent VARCHAR)", "prediction": "SELECT party FROM table_1341865_11 WHERE incumbent = \"Don Fuqua\"", "gold": "SELECT party FROM table_1341865_11 WHERE incumbent = \"Don Fuqua\"", "scores": {"exact_match": 1.0}}
{"id": 19, "instruction": "What shows for nationality when there is a rank larger than 6, and a Time of 2:14.95?", "input": "CREATE TABLE table_name_52 (nationality VARCHAR, rank VARCHAR, time VARCHAR)", "prediction": "SELECT nationality FROM table_name_52 WHERE rank > 6 AND time = \"2:14.95\"", "gold": "SELECT nationality FROM table_name_52 WHERE rank > 6 AND time = \"2:14.95\"", "scores": {"exact_match": 1.0}}
{"id": 20, "instruction": "What score did Jack Nicklaus have when he placed t6?", "input": "CREATE TABLE table_name_92 (score VARCHAR, place VARCHAR, player VARCHAR)", "prediction": "SELECT score FROM table_name_92 WHERE place = \"t6\" AND player = \"jack nicklaus\"", "gold": "SELECT score FROM table_name_92 WHERE place = \"t6\" AND player = \"jack nicklaus\"", "scores": {"exact_match": 1.0}}
{"id": 21, "instruction": "What did United States place when the score was 71-70-72-68=281?", "input": "CREATE TABLE table_name_17 (place VARCHAR, country VARCHAR, score VARCHAR)", "prediction": "SELECT place FROM table_name_17 WHERE country = \"united states\" AND score = 71 - 70 - 72 - 68 = 281", "gold": "SELECT place FROM table_name_17 WHERE country = \"united states\" AND score = 71 - 70 - 72 - 68 = 281", "scores": {"exact_match": 1.0}}
{"id": 22, "instruction": "Which league's playoffs was national semi-finals?", "input": "CREATE TABLE table_name_51 (league VARCHAR, playoffs VARCHAR)", "prediction": "SELECT league FROM table_name_51 WHERE playoffs = \"national semi-finals\"", "gold": "SELECT league FROM table_name_51 WHERE playoffs = \"national semi-finals\"", "scores": {"exact_match": 1.0}}
{"id": 23, "instruction": "What are the different ages of editors? Show each age along with the number of editors of that age.", "input": "CREATE TABLE editor (Age VARCHAR)", "prediction": "SELECT Age, COUNT(*) FROM editor GROUP BY Age", "gold": "SELECT Age, COUNT(*) FROM editor GROUP BY Age", "scores": {"exact_match": 1.0}}
{"id": 24, "instruction": "What is the location when 2-1 is the score?", "input": "CREATE TABLE table_22165661_3 (location VARCHAR, score VARCHAR)", "prediction": "SELECT location FROM table_22165661_3 WHERE score = \"2-1\"", "gold": "SELECT location FROM table_22165661_3 WHERE score = \"2-1\"", "scores": {"exact_match": 1.0}}
{"id": 25, "instruction": "For each faculty rank, show the number of faculty members who have it.", "input": "CREATE TABLE Faculty (rank VARCHAR)", "prediction": "SELECT rank, COUNT(*) FROM Faculty GROUP BY rank", "gold": "SELECT rank, COUNT(*) FROM Faculty GROUP BY rank", "scores": {"exact_match": 1.0}}
{"id": 26, "instruction": "What is the average Yards with an average of less than 4 and the long is 12 with less than 29 attempts?", "input": "CREATE TABLE table_name_53 (yards INTEGER, attempts VARCHAR, average VARCHAR, long VARCHAR)", "prediction": "SELECT AVG(yards) FROM table_name_53 WHERE average < 4 AND long = 12 AND attempts < 29", "gold": "SELECT AVG(yards) FROM table_name_53 WHERE average < 4 AND long = 12 AND attempts < 29", "scores": {"exact_match": 1.0}}
{"id": 27, "instruction": "What was the final score of the game with 7523 in attendance?", "input": "CREATE TABLE table_25331766_3 (final_score VARCHAR, attendance VARCHAR)", "prediction": "SELECT final_score FROM table_25331766_3 WHERE attendance = 7523", "gold": "SELECT final_score FROM table_25331766_3 WHERE attendance = 7523", "scores": {"exact_match": 1.0}}
{"id": 28, "instruction": "Namr the total number of played for 5 losses", "input": "CREATE TABLE table_18703133_1 (played VARCHAR, losses VARCHAR)", "prediction": "SELECT COUNT(played) FROM table_18703133_1 WHERE losses = 5", "gold": "SELECT COUNT(played) FROM table_18703133_1 WHERE losses = 5", "scores": {"exact_match": 1.0}}
{"id": 29, "instruction": "Which college has a nose tackle position?", "input": "CREATE TABLE table_name_30 (college VARCHAR, position VARCHAR)", "prediction": "SELECT college FROM table_name_30 WHERE position = \"nose tackle\"", "gold": "SELECT college FROM table_name_30 WHERE position = \"nose tackle\"", "scores": {"exact_match": 1.0}}
{"id": 30, "instruction": "In Limerick County, what is the Rank with a Total larger than 12 and Tipperary as the Opposition?", "input": "CREATE TABLE table_name_48 (rank INTEGER, total VARCHAR, opposition VARCHAR, county VARCHAR)", "prediction": "SELECT SUM(rank) FROM table_name_48 WHERE opposition = \"tipperary\" AND county = \"limerick\" AND total > 12", "gold": "SELECT AVG(rank) FROM table_name_48 WHERE opposition = \"tipperary\" AND county = \"limerick\" AND total > 12", "scores": {"exact_match": 0.0}}
{"id": 31, "instruction": "What is the frequency of the newspaper, el diario de nuevo laredo in the city of nuevo laredo ?", "input": "CREATE TABLE table_name_70 (frequency VARCHAR, city VARCHAR, name VARCHAR)", "prediction": "SELECT frequency FROM table_name_70 WHERE city = \"nuevo laredo\" AND name = \"el diario de nuevo laredo\"", "gold": "SELECT frequency FROM table_name_70 WHERE city = \"nuevo laredo\" AND name = \"el diario de nuevo laredo\"", "scores": {"exact_match": 1.0}}
{"id": 32, "instruction": "How tall is the Anqing Bridge which opened prior to 2011?", "input": "CREATE TABLE table_name_8 (height_of_bridge_structure VARCHAR, opened VARCHAR, name VARCHAR)", "prediction": "SELECT height_of_bridge_structure FROM table_name_8 WHERE opened < 2011 AND name = \"anqing bridge\"", "gold": "SELECT height_of_bridge_structure FROM table_name_8 WHERE opened < 2011 AND name = \"anqing bridge\"", "scores": {"exact_match": 1.0}}
{"id": 33, "instruction": "How many significant relationships list Will as a virtue?", "input": "CREATE TABLE table_1058787_1 (significant_relationship VARCHAR, virtues VARCHAR)", "prediction": "SELECT COUNT(significant_relationship) FROM table_1058787_1 WHERE virtues = \"Will\"", "gold": "SELECT COUNT(significant_relationship) FROM table_1058787_1 WHERE virtues = \"Will\"", "scores": {"exact_match": 1.0}}
{"id": 34, "instruction": "What is the home ground for the team whose home city is Trondheim with 27 seasons?", "input": "CREATE TABLE table_2522473_1 (home_ground VARCHAR, seasons VARCHAR, home_city VARCHAR)", "prediction": "SELECT home_ground FROM table_2522473_1 WHERE seasons = 27 AND home_city = \"Trondheim\"", "gold": "SELECT home_ground FROM table_2522473_1 WHERE seasons = 27 AND home_city = \"Trondheim\"", "scores": {"exact_match": 1.0}}
{"id": 35, "instruction": "I want the lowest Gold for silver being 2 and electronic sports", "input": "CREATE TABLE table_name_98 (gold INTEGER, silver VARCHAR, sport VARCHAR)", "prediction": "SELECT MIN(gold) FROM table_name_98 WHERE silver = 2 AND sport = \"electronic sports\"", "gold": "SELECT MIN(gold) FROM table_name_98 WHERE silver = 2 AND sport = \"electronic sports\"", "scores": {"exact_match": 1.0}}
{"id": 36, "instruction": "What is the total enrollment of the aa IHSAA class?", "input": "CREATE TABLE table_name_61 (enrollment VARCHAR, ihsaa_class VARCHAR)", "prediction": "SELECT COUNT(enrollment) FROM table_name_61 WHERE ihsaa_class = \"aa\"", "gold": "SELECT COUNT(enrollment) FROM table_name_61 WHERE ihsaa_class = \"aa\"", "scores": {"exact_match": 1.0}}
{"id": 37, "instruction": "What is the title of the episode originally aired on February 2, 2008?", "input": "CREATE TABLE table_name_65 (title VARCHAR, original_airdate VARCHAR)", "prediction": "SELECT title FROM table_name_65 WHERE original_airdate = \"february 2, 2008\"", "gold": "SELECT title FROM table_name_65 WHERE original_airdate = \"february 2, 2008\"", "scores": {"exact_match": 1.0}}
{"id": 38, "instruction": "What is the rnag for kippure transmitter?", "input": "CREATE TABLE table_18475946_2 (rnag__mhz_ VARCHAR, transmitter VARCHAR)", "prediction": "SELECT rnag__mhz_ FROM table_18475946_2 WHERE transmitter = \"Kippure\"", "gold": "SELECT rnag__mhz_ FROM table_18475946_2 WHERE transmitter = \"Kippure\"", "scores": {"exact_match": 1.0}}
{"id": 39, "instruction": "On What Date is the Competition Semifinal that has a result of 2-1 aet?", "input": "CREATE TABLE table_name_63 (date VARCHAR, competition VARCHAR, result VARCHAR)", "prediction": "SELECT date FROM table_name_63 WHERE competition = \"semifinal\" AND result = \"2-1 aet\"", "gold": "SELECT date FROM table_name_63 WHERE competition = \"semifinal\" AND result = \"2-1 aet\"", "scores": {"exact_match": 1.0}}
{"id": 40, "instruction": "What is the U.S. Rap chart number of the album west coast bad boyz, vol. 3: poppin' collars?", "input": "CREATE TABLE table_name_98 (us_rap VARCHAR, album VARCHAR)", "prediction": "SELECT us_rap FROM table_name_98 WHERE album = \"west coast bad boyz, vol. 3: poppin' collars\"", "gold": "SELECT us_rap FROM table_name_98 WHERE album = \"west coast bad boyz, vol. 3: poppin' collars\"", "scores": {"exact_match": 1.0}}
{"id": 41, "instruction": "How many point categories are there for the 3 mile run?", "input": "CREATE TABLE table_19534874_2 (points VARCHAR, mile_run VARCHAR)", "prediction": "SELECT COUNT(points) FROM table_19534874_2 WHERE mile_run = \"3 mile run\"", "gold": "SELECT COUNT(points) FROM table_19534874_2 WHERE mile_run = 3", "scores": {"exact_match": 0.0}}
{"id": 42, "instruction": "How many games were there in the 1966 season?", "input": "CREATE TABLE table_20849830_1 (game INTEGER)", "prediction": "SELECT MIN(game) FROM table_20849830_1", "gold": "SELECT MAX(game) FROM table_20849830_1", "scores": {"exact_match": 0.0}}
{"id": 43, "instruction": "Name the Against of Venue of brewery field , bridgend?", "input": "CREATE TABLE table_name_31 (against VARCHAR, venue VARCHAR)", "prediction": "SELECT against FROM table_name_31 WHERE venue = \"brewery field , bridgend\"", "gold": "SELECT against FROM table_name_31 WHERE venue = \"brewery field , bridgend\"", "scores": {"exact_match": 1.0}}
{"id": 44, "instruction": "what is the status in vestal", "input": "CREATE TABLE table_18159601_1 (status VARCHAR, city VARCHAR)", "prediction": "SELECT status FROM table_18159601_1 WHERE city = \"Vestal\"", "gold": "SELECT status FROM table_18159601_1 WHERE city = \"Vestal\"", "scores": {"exact_match": 1.0}}
{"id": 45, "instruction": "What is the remelting temperature for the alloy that has a Sn/Sb ratio of 9.5/15?", "input": "CREATE TABLE table_name_51 (remelting_at__°c_ VARCHAR, sn_sb___percentage_ VARCHAR)", "prediction": "SELECT remelting_at__°c_ FROM table_name_51 WHERE sn_sb___percentage_ = \"9.5/15\"", "gold": "SELECT remelting_at__°c_ FROM table_name_51 WHERE sn_sb___percentage_ = \"9.5/15\"", "scores": {"exact_match": 1.0}}
{"id": 46, "instruction": "What was the production number of the episode titel of pre-hysterical hare?", "input": "CREATE TABLE table_name_76 (production_number VARCHAR, title VARCHAR)", "prediction": "SELECT production_number FROM table_name_76 WHERE title = \"pre-hysterical hare\"", "gold": "SELECT COUNT(production_number) FROM table_name_76 WHERE title = \"pre-hysterical hare\"", "scores": {"exact_match": 0.0}}
{"id": 47, "instruction": "Who was the presenter on Friday of the series in which Alice Levine Jamie East presented on Sunday?", "input": "CREATE TABLE table_name_34 (friday VARCHAR, sunday VARCHAR)", "prediction": "SELECT friday FROM table_name_34 WHERE sunday = \"alice levine jamie east\"", "gold": "SELECT friday FROM table_name_34 WHERE sunday = \"alice levine jamie east\"", "scores": {"exact_match": 1.0}}
{"id": 48, "instruction": "What is the population of the Parish, Plumbland, that had a former local authority of Cockermouth Rural District?", "input": "CREATE TABLE table_name_5 (population VARCHAR, former_local_authority VARCHAR, name VARCHAR)", "prediction": "SELECT COUNT(population) FROM table_name_5 WHERE former_local_authority = \"cockermouth rural district\" AND name = \"plumbland\"", "gold": "SELECT COUNT(population) FROM table_name_5 WHERE former_local_authority = \"cockermouth rural district\" AND name = \"plumbland\"", "scores": {"exact_match": 1.0}}
{"id": 49, "instruction": "What is Kerry J. Donley's First Election date?", "input": "CREATE TABLE table_name_23 (first_election VARCHAR, name VARCHAR)", "prediction": "SELECT first_election FROM table_name_23 WHERE name = \"kerry j. donley\"", "gold": "SELECT first_election FROM table_name_23 WHERE name = \"kerry j. donley\"", "scores": {"exact_match": 1.0}}
{"id": 50, "instruction": "What is the venue that is located in zhodino?", "input": "CREATE TABLE table_name_84 (venue VARCHAR, location VARCHAR)", "prediction": "SELECT venue FROM table_name_84 WHERE location = \"zhodino\"", "gold": "SELECT venue FROM table_name_84 WHERE location = \"zhodino\"", "scores": {"exact_match": 1.0}}
{"id": 51, "instruction": "Find the title, credit, and department name of courses that have more than one prerequisites?", "input": "CREATE TABLE prereq (course_id VARCHAR); CREATE TABLE course (title VARCHAR, credits VARCHAR, dept_name VARCHAR, course_id VARCHAR)", "prediction": "SELECT T1.title, T1.credits, T1.dept_name FROM course AS T1 JOIN prereq AS T2 ON T1.course_id = T2.course_id GROUP BY T2.course_id HAVING COUNT(*) > 1", "gold": "SELECT T1.title, T1.credits, T1.dept_name FROM course AS T1 JOIN prereq AS T2 ON T1.course_id = T2.course_id GROUP BY T2.course_id HAVING COUNT(*) > 1", "scores": {"exact_match": 1.0}}
{"id": 52, "instruction": "Who was the winner of the 23rd Edition?", "input": "CREATE TABLE table_name_58 (winner VARCHAR, edition VARCHAR)", "prediction": "SELECT winner FROM table_name_58 WHERE edition = \"23rd\"", "gold": "SELECT winner FROM table_name_58 WHERE edition = \"23rd\"", "scores": {"exact_match": 1.0}}
{"id": 53, "instruction": "Tell me the club with a replacement of alberto malesani", "input": "CREATE TABLE table_name_8 (club VARCHAR, replacement VARCHAR)", "prediction": "SELECT club FROM table_name_8 WHERE replacement = \"alberto malesani\"", "gold": "SELECT club FROM table_name_8 WHERE replacement = \"alberto malesani\"", "scores": {"exact_match": 1.0}}
{"id": 54, "instruction": "What is the highest lost entry that has a drawn entry less than 6, goals against less than 44, and a points 1 entry of 27?", "input": "CREATE TABLE table_name_40 (lost INTEGER, points_1 VARCHAR, drawn VARCHAR, goals_against VARCHAR)", "prediction": "SELECT MAX(lost) FROM table_name_40 WHERE drawn < 6 AND goals_against < 44 AND points_1 = \"27\"", "gold": "SELECT MAX(lost) FROM table_name_40 WHERE drawn < 6 AND goals_against < 44 AND points_1 = \"27\"", "scores": {"exact_match": 1.0}}
{"id": 55, "instruction": "In which season did Fc Pakhtakor Tashkent represent the country of Uzbekistan with more than 6 apps?", "input": "CREATE TABLE table_name_72 (season INTEGER, apps VARCHAR, country VARCHAR, team VARCHAR)", "prediction": "SELECT SUM(season) FROM table_name_72 WHERE country = \"uzbekistan\" AND team = \"fc pakhtakor tashkent\" AND apps > 6", "gold": "SELECT MAX(season) FROM table_name_72 WHERE country = \"uzbekistan\" AND team = \"fc pakhtakor tashkent\" AND apps > 6", "scores": {"exact_match": 0.0}}
{"id": 56, "instruction": "What is American, when British is \"ɪ, ə\", and when Initial-Syllable Open/Semi-Open Unstressed Vowels is \"æ /ɨ/\"?", "input": "CREATE TABLE table_name_23 (american VARCHAR, british VARCHAR, initial_syllable_open_semi_open_unstressed_vowels VARCHAR)", "prediction": "SELECT american FROM table_name_23 WHERE british = \"ɪ, ə\" AND initial_syllable_open_semi_open_unstressed_vowels = \"æ /ɨ/\"", "gold": "SELECT american FROM table_name_23 WHERE british = \"ɪ, ə\" AND initial_syllable_open_semi_open_unstressed_vowels = \"æ /ɨ/\"", "scores": {"exact_match": 1.0}}
{"id": 57, "instruction": "what is total number of points where the stage is 17?", "input": "CREATE TABLE table_12262008_2 (points_classification VARCHAR, stage VARCHAR)", "prediction": "SELECT COUNT(points_classification) FROM table_12262008_2 WHERE stage = 17", "gold": "SELECT COUNT(points_classification) FROM table_12262008_2 WHERE stage = 17", "scores": {"exact_match": 1.0}}
{"id": 58, "instruction": "Which tyres received 8 points?", "input": "CREATE TABLE table_name_56 (tyres VARCHAR, points VARCHAR)", "prediction": "SELECT tyres FROM table_name_56 WHERE points = 8", "gold": "SELECT tyres FROM table_name_56 WHERE points = 8", "scores": {"exact_match": 1.0}}
{"id": 59, "instruction": "What stadium is in the city of Debrecen?", "input": "CREATE TABLE table_name_81 (stadium VARCHAR, city VARCHAR)", "prediction": "SELECT stadium FROM table_name_81 WHERE city = \"debrecen\"", "gold": "SELECT stadium FROM table_name_81 WHERE city = \"debrecen\"", "scores": {"exact_match": 1.0}}
{"id": 60, "instruction": "When 5th is the regular season what is the highest season?", "input": "CREATE TABLE table_1939235_1 (division INTEGER, regular_season VARCHAR)", "prediction": "SELECT MAX(division) FROM table_1939235_1 WHERE regular_season = \"5th\"", "gold": "SELECT MAX(division) FROM table_1939235_1 WHERE regular_season = \"5th\"", "scores": {"exact_match": 1.0}}
{"id": 61, "instruction": "Where is Adam Gilchrist from?", "input": "CREATE TABLE table_11303072_9 (nationality VARCHAR, player VARCHAR)", "prediction": "SELECT nationality FROM table_11303072_9 WHERE player = \"Adam Gilchrist\"", "gold": "SELECT nationality FROM table_11303072_9 WHERE player = \"Adam Gilchrist\"", "scores": {"exact_match": 1.0}}
{"id": 62, "instruction": "What was the attendance for St Andrew's?", "input": "CREATE TABLE table_name_17 (attendance VARCHAR, venue VARCHAR)", "prediction": "SELECT attendance FROM table_name_17 WHERE venue = \"st andrew's\"", "gold": "SELECT attendance FROM table_name_17 WHERE venue = \"st andrew's\"", "scores": {"exact_match": 1.0}}
{"id": 63, "instruction": "What is the greatest number of valves?", "input": "CREATE TABLE table_21021796_1 (valves INTEGER)", "prediction": "SELECT MAX(valves) FROM table_21021796_1", "gold": "SELECT MIN(valves) FROM table_21021796_1", "scores": {"exact_match": 0.0}}
{"id": 64, "instruction": "Which player was picked before 13, in a P position, and is from Georgia Tech?", "input": "CREATE TABLE table_name_98 (player VARCHAR, hometown_school VARCHAR, pick VARCHAR, position VARCHAR)", "prediction": "SELECT player FROM table_name_98 WHERE pick < 13 AND position = \"p\" AND hometown_school = \"georgia tech\"", "gold": "SELECT player FROM table_name_98 WHERE pick < 13 AND position = \"p\" AND hometown_school = \"georgia tech\"", "scores": {"exact_match": 1.0}}
{"id": 65, "instruction": "How many UK events won for the contestant that won under 1 US event?", "input": "CREATE TABLE table_name_45 (events_won__uk_series_ VARCHAR, events_won__us_series_ INTEGER)", "prediction": "SELECT COUNT(events_won__uk_series_) FROM table_name_45 WHERE events_won__us_series_ < 1", "gold": "SELECT events_won__uk_series_ FROM table_name_45 WHERE events_won__us_series_ < 1", "scores": {"exact_match": 0.0}}
{"id": 66, "instruction": "What is Authors, when Novelty is Gen Nov, when Location is South Africa, and when Name is Criocephalosaurus?", "input": "CREATE TABLE table_name_90 (authors VARCHAR, name VARCHAR, novelty VARCHAR, location VARCHAR)", "prediction": "SELECT authors FROM table_name_90 WHERE novelty = \"gen nov\" AND location = \"south africa\" AND name = \"criocephalosaurus\"", "gold": "SELECT authors FROM table_name_90 WHERE novelty = \"gen nov\" AND location = \"south africa\" AND name = \"criocephalosaurus\"", "scores": {"exact_match": 1.0}}
{"id": 67, "instruction": "What country did Day & Age rank number 1 in Q prior to 2011?", "input": "CREATE TABLE table_name_52 (country VARCHAR, publication VARCHAR, year VARCHAR, rank VARCHAR)", "prediction": "SELECT country FROM table_name_52 WHERE year < 2011 AND rank = \"q\" AND publication = \"day & age\"", "gold": "SELECT country FROM table_name_52 WHERE year < 2011 AND rank > 1 AND publication = \"q\"", "scores": {"exact_match": 0.0}}
{"id": 68, "instruction": "What is the win/loss percentage with wins of 63 and losses smaller than 76?", "input": "CREATE TABLE table_name_77 (w_l__percentage VARCHAR, wins VARCHAR, losses VARCHAR)", "prediction": "SELECT w_l__percentage FROM table_name_77 WHERE wins = 63 AND losses < 76", "gold": "SELECT w_l__percentage FROM table_name_77 WHERE wins = 63 AND losses < 76", "scores": {"exact_match": 1.0}}
{"id": 69, "instruction": "Name the last title for 2012", "input": "CREATE TABLE table_2454589_1 (last_title VARCHAR, first_season_in_current_spell VARCHAR)", "prediction": "SELECT last_title FROM table_2454589_1 WHERE first_season_in_current_spell = \"2012\"", "gold": "SELECT last_title FROM table_2454589_1 WHERE first_season_in_current_spell = 2012", "scores": {"exact_match": 0.0}}
{"id": 70, "instruction": "Who had the high assists for game 49?", "input": "CREATE TABLE table_11907963_6 (high_assists VARCHAR, game VARCHAR)", "prediction": "SELECT high_assists FROM table_11907963_6 WHERE game = 49", "gold": "SELECT high_assists FROM table_11907963_6 WHERE game = 49", "scores": {"exact_match": 1.0}}
{"id": 71, "instruction": "What is the surface when the partner was Robert Haybittel?", "input": "CREATE TABLE table_name_42 (surface VARCHAR, partner VARCHAR)", "prediction": "SELECT surface FROM table_name_42 WHERE partner = \"robert haybittel\"", "gold": "SELECT surface FROM table_name_42 WHERE partner = \"robert haybittel\"", "scores": {"exact_match": 1.0}}
{"id": 72, "instruction": "What is the time of 12 December 2009 with record start?", "input": "CREATE TABLE table_name_81 (time VARCHAR, record VARCHAR, date VARCHAR)", "prediction": "SELECT time FROM table_name_81 WHERE record = \"start\" AND date = \"12 december 2009\"", "gold": "SELECT time FROM table_name_81 WHERE record = \"start\" AND date = \"12 december 2009\"", "scores": {"exact_match": 1.0}}
{"id": 73, "instruction": "Name the report with cuban race", "input": "CREATE TABLE table_name_16 (report VARCHAR, name VARCHAR)", "prediction": "SELECT report FROM table_name_16 WHERE name = \"cuban race\"", "gold": "SELECT report FROM table_name_16 WHERE name = \"cuban race\"", "scores": {"exact_match": 1.0}}
{"id": 74, "instruction": "For the United States International University, what was the highest pick number allowed?", "input": "CREATE TABLE table_name_53 (pick INTEGER, college VARCHAR)", "prediction": "SELECT MAX(pick) FROM table_name_53 WHERE college = \"united states international university\"", "gold": "SELECT MAX(pick) FROM table_name_53 WHERE college = \"united states international university\"", "scores": {"exact_match": 1.0}}
{"id": 75, "instruction": "Which Silver is the lowest one that has a Gold larger than 0, and a Rank of total, and a Bronze smaller than 32?", "input": "CREATE TABLE table_name_70 (silver INTEGER, bronze VARCHAR, gold VARCHAR, rank VARCHAR)", "prediction": "SELECT MIN(silver) FROM table_name_70 WHERE gold > 0 AND rank = \"total\" AND bronze < 32", "gold": "SELECT MIN(silver) FROM table_name_70 WHERE gold > 0 AND rank = \"total\" AND bronze < 32", "scores": {"exact_match": 1.0}}
{"id": 76, "instruction": "What is the number of season premieres were 10.17 people watched?", "input": "CREATE TABLE table_10120207_8 (season VARCHAR, viewers__millions_ VARCHAR)", "prediction": "SELECT COUNT(season) FROM table_10120207_8 WHERE viewers__millions_ = \"10.17\"", "gold": "SELECT COUNT(season) AS premiere FROM table_10120207_8 WHERE viewers__millions_ = \"10.17\"", "scores": {"exact_match": 0.0}}
{"id": 77, "instruction": "What country scored 67?", "input": "CREATE TABLE table_name_76 (country VARCHAR, score VARCHAR)", "prediction": "SELECT country FROM table_name_76 WHERE score = 67", "gold": "SELECT country FROM table_name_76 WHERE score = 67", "scores": {"exact_match": 1.0}}
{"id": 78, "instruction": "What was the result of the election of the incumbent clyde doyle?", "input": "CREATE TABLE table_1341973_6 (result VARCHAR, incumbent VARCHAR)", "prediction": "SELECT result FROM table_1341973_6 WHERE incumbent = \"Clyde Doyle\"", "gold": "SELECT result FROM table_1341973_6 WHERE incumbent = \"Clyde Doyle\"", "scores": {"exact_match": 1.0}}
{"id": 79, "instruction": "What is the sum of bronzes having silvers over 5 and golds under 20?", "input": "CREATE TABLE table_name_43 (bronze INTEGER, silver VARCHAR, gold VARCHAR)", "prediction": "SELECT SUM(bronze) FROM table_name_43 WHERE silver > 5 AND gold < 20", "gold": "SELECT SUM(bronze) FROM table_name_43 WHERE silver > 5 AND gold < 20", "scores": {"exact_match": 1.0}}
{"id": 80, "instruction": "What's the Japanese title when the Romaji Title was Atsu-Hime?", "input": "CREATE TABLE table_name_24 (japanese_title VARCHAR, romaji_title VARCHAR)", "prediction": "SELECT japanese_title FROM table_name_24 WHERE romaji_title = \"atsu-hime\"", "gold": "SELECT japanese_title FROM table_name_24 WHERE romaji_title = \"atsu-hime\"", "scores": {"exact_match": 1.0}}
{"id": 81, "instruction": "Please name the Losses that has a Played smaller than 5?", "input": "CREATE TABLE table_name_57 (losses INTEGER, played INTEGER)", "prediction": "SELECT SUM(losses) FROM table_name_57 WHERE played < 5", "gold": "SELECT MAX(losses) FROM table_name_57 WHERE played < 5", "scores": {"exact_match": 0.0}}
{"id": 82, "instruction": "in which city was charter date december 4, 2011", "input": "CREATE TABLE table_18159601_1 (city VARCHAR, charter_date VARCHAR)", "prediction": "SELECT city FROM table_18159601_1 WHERE charter_date = \"December 4, 2011\"", "gold": "SELECT city FROM table_18159601_1 WHERE charter_date = \"December 4, 2011\"", "scores": {"exact_match": 1.0}}
{"id": 83, "instruction": "Which Relation has a Year larger than 2000, and a Length of 8 x 20 mins?", "input": "CREATE TABLE table_name_12 (relation VARCHAR, year VARCHAR, length VARCHAR)", "prediction": "SELECT relation FROM table_name_12 WHERE year > 2000 AND length = \"8 x 20 mins\"", "gold": "SELECT relation FROM table_name_12 WHERE year > 2000 AND length = \"8 x 20 mins\"", "scores": {"exact_match": 1.0}}
{"id": 84, "instruction": "What is the fewest losses associated with more than 13 points and fewer than 8 games?", "input": "CREATE TABLE table_name_25 (lost INTEGER, points VARCHAR, games VARCHAR)", "prediction": "SELECT MIN(lost) FROM table_name_25 WHERE points > 13 AND games < 8", "gold": "SELECT MIN(lost) FROM table_name_25 WHERE points > 13 AND games < 8", "scores": {"exact_match": 1.0}}
{"id": 85, "instruction": "What is the smallest number of tries when Matt Diskin is the player and there are more than 16 points?", "input": "CREATE TABLE table_name_84 (tries INTEGER, player VARCHAR, points VARCHAR)", "prediction": "SELECT MIN(tries) FROM table_name_84 WHERE player = \"matt diskin\" AND points > 16", "gold": "SELECT MIN(tries) FROM table_name_84 WHERE player = \"matt diskin\" AND points > 16", "scores": {"exact_match": 1.0}}
{"id": 86, "instruction": "What is the economy of the player with BBI of 3/33?", "input": "CREATE TABLE table_28846752_13 (economy VARCHAR, bbi VARCHAR)", "prediction": "SELECT economy FROM table_28846752_13 WHERE bbi = \"3/33\"", "gold": "SELECT economy FROM table_28846752_13 WHERE bbi = \"3/33\"", "scores": {"exact_match": 1.0}}
{"id": 87, "instruction": "What was the attendance when the VFL played Lake Oval?", "input": "CREATE TABLE table_name_44 (crowd VARCHAR, venue VARCHAR)", "prediction": "SELECT crowd FROM table_name_44 WHERE venue = \"lake oval\"", "gold": "SELECT COUNT(crowd) FROM table_name_44 WHERE venue = \"lake oval\"", "scores": {"exact_match": 0.0}}
{"id": 88, "instruction": "What was the record at the game with a result of W 13-12 after week 4?", "input": "CREATE TABLE table_name_10 (record VARCHAR, week VARCHAR, result VARCHAR)", "prediction": "SELECT record FROM table_name_10 WHERE week > 4 AND result = \"w 13-12\"", "gold": "SELECT record FROM table_name_10 WHERE week > 4 AND result = \"w 13-12\"", "scores": {"exact_match": 1.0}}
{"id": 89, "instruction": "What are the notes of Cardinal-Deacon of S. Maria in Portico?", "input": "CREATE TABLE table_name_95 (notes VARCHAR, cardinalatial_order_and_title VARCHAR)", "prediction": "SELECT notes FROM table_name_95 WHERE cardinalatial_order_and_title = \"cardinal-deacon of s. maria in portico\"", "gold": "SELECT notes FROM table_name_95 WHERE cardinalatial_order_and_title = \"cardinal-deacon of s. maria in portico\"", "scores": {"exact_match": 1.0}}
{"id": 90, "instruction": "Tell me the least time for apostolos tsagkarakis for lane less than 6", "input": "CREATE TABLE table_name_63 (time INTEGER, swimmer VARCHAR, lane VARCHAR)", "prediction": "SELECT MIN(time) FROM table_name_63 WHERE swimmer = \"apostolos tsagkarakis\" AND lane < 6", "gold": "SELECT MIN(time) FROM table_name_63 WHERE swimmer = \"apostolos tsagkarakis\" AND lane < 6", "scores": {"exact_match": 1.0}}
{"id": 91, "instruction": "what is the maximum season with byu-usu score being 29–7", "input": "CREATE TABLE table_13665809_2 (season INTEGER, byu_usu_score VARCHAR)", "prediction": "SELECT MAX(season) FROM table_13665809_2 WHERE byu_usu_score = \"29–7\"", "gold": "SELECT MAX(season) FROM table_13665809_2 WHERE byu_usu_score = \"29–7\"", "scores": {"exact_match": 1.0}}
{"id": 92, "instruction": "WHICH Outcome IS ON 18 july 1993?", "input": "CREATE TABLE table_name_70 (outcome VARCHAR, date VARCHAR)", "prediction": "SELECT outcome FROM table_name_70 WHERE date = \"18 july 1993\"", "gold": "SELECT outcome FROM table_name_70 WHERE date = \"18 july 1993\"", "scores": {"exact_match": 1.0}}
{"id": 93, "instruction": "Which show had a part 3 before 2011?", "input": "CREATE TABLE table_name_45 (show VARCHAR, year VARCHAR, episode_title VARCHAR)", "prediction": "SELECT show FROM table_name_45 WHERE year < 2011 AND episode_title = \"part 3\"", "gold": "SELECT show FROM table_name_45 WHERE year < 2011 AND episode_title = \"part 3\"", "scores": {"exact_match": 1.0}}
{"id": 94, "instruction": "What are the lengths and heights of roller coasters?", "input": "CREATE TABLE roller_coaster (LENGTH VARCHAR, Height VARCHAR)", "prediction": "SELECT LENGTH, Height FROM roller_coaster", "gold": "SELECT LENGTH, Height FROM roller_coaster", "scores": {"exact_match": 1.0}}
{"id": 95, "instruction": "What's the player's name whose nationality and team are Netherlands?", "input": "CREATE TABLE table_24765815_2 (player VARCHAR, nationality VARCHAR, team VARCHAR)", "prediction": "SELECT player FROM table_24765815_2 WHERE nationality = \"Netherlands\" AND team = \"Netherlands\"", "gold": "SELECT player FROM table_24765815_2 WHERE nationality = \"Netherlands\" AND team = \"Netherlands\"", "scores": {"exact_match": 1.0}}
{"id": 96, "instruction": "How many outgoing managers were replaced by Bob Peeters?", "input": "CREATE TABLE table_27374004_3 (outgoing_manager VARCHAR, replaced_by VARCHAR)", "prediction": "SELECT COUNT(outgoing_manager) FROM table_27374004_3 WHERE replaced_by = \"Bob Peeters\"", "gold": "SELECT COUNT(outgoing_manager) FROM table_27374004_3 WHERE replaced_by = \"Bob Peeters\"", "scores": {"exact_match": 1.0}}
{"id": 97, "instruction": "What date has a theme of fate or fortune?", "input": "CREATE TABLE table_name_21 (date VARCHAR, theme VARCHAR)", "prediction": "SELECT date FROM table_name_21 WHERE theme = \"fate or fortune\"", "gold": "SELECT date FROM table_name_21 WHERE theme = \"fate or fortune\"", "scores": {"exact_match": 1.0}}
{"id": 98, "instruction": "Who is listed under mens singles when womens has wang nan zhang yining?", "input": "CREATE TABLE table_28138035_27 (mens_singles VARCHAR, womens_doubles VARCHAR)", "prediction": "SELECT mens_singles FROM table_28138035_27 WHERE womens_doubles = \"Wang Nan Zhang Yining\"", "gold": "SELECT mens_singles FROM table_28138035_27 WHERE womens_doubles = \"Wang Nan Zhang Yining\"", "scores": {"exact_match": 1.0}}
{"id": 99, "instruction": "Who were the champions in years where michigan technological university was in third place?", "input": "CREATE TABLE table_2331549_1 (champion VARCHAR, third_place VARCHAR)", "prediction": "SELECT champion FROM table_2331549_1 WHERE third_place = \"Michigan Technological University\"", "gold": "SELECT champion FROM table_2331549_1 WHERE third_place = \"Michigan Technological University\"", "scores": {"exact_match": 1.0}}
{"id": 100, "instruction": "Which Season was the Poles greater than 14?", "input": "CREATE TABLE table_name_27 (season VARCHAR, poles INTEGER)", "prediction": "SELECT season FROM table_name_27 WHERE poles > 14", "gold": "SELECT season FROM table_name_27 WHERE poles > 14", "scores": {"exact_match": 1.0}}
{"id": 101, "instruction": "what is the barony and an area of 560?", "input": "CREATE TABLE table_30120560_1 (barony VARCHAR, area__acres__ VARCHAR)", "prediction": "SELECT barony FROM table_30120560_1 WHERE area__acres__ = 560", "gold": "SELECT barony FROM table_30120560_1 WHERE area__acres__ = 560", "scores": {"exact_match": 1.0}}
{"id": 102, "instruction": "Name the number of captains for barcelona", "input": "CREATE TABLE table_29398373_2 (captain VARCHAR, team VARCHAR)", "prediction": "SELECT COUNT(captain) FROM table_29398373_2 WHERE team = \"Barcelona\"", "gold": "SELECT COUNT(captain) FROM table_29398373_2 WHERE team = \"Barcelona\"", "scores": {"exact_match": 1.0}}
{"id": 103, "instruction": "Name the maximum points for libertad", "input": "CREATE TABLE table_18607260_6 (points INTEGER, team VARCHAR)", "prediction": "SELECT MAX(points) FROM table_18607260_6 WHERE team = \"Libertad\"", "gold": "SELECT MAX(points) FROM table_18607260_6 WHERE team = \"Libertad\"", "scores": {"exact_match": 1.0}}
{"id": 104, "instruction": "Who had the best regular season in the contest won by Arkansas-Pine Bluff?", "input": "CREATE TABLE table_22645714_5 (regular_season_winner VARCHAR, tournament_winner VARCHAR)", "prediction": "SELECT regular_season_winner FROM table_22645714_5 WHERE tournament_winner = \"Arkansas-Pine Bluff\"", "gold": "SELECT regular_season_winner FROM table_22645714_5 WHERE tournament_winner = \"Arkansas-Pine Bluff\"", "scores": {"exact_match": 1.0}}
{"id": 105, "instruction": "What is the least value for average attendance when average on previous season is +644?", "input": "CREATE TABLE table_2970978_1 (ave_attendance INTEGER, ___ave_on_prev_season VARCHAR)", "prediction": "SELECT MIN(ave_attendance) FROM table_2970978_1 WHERE ___ave_on_prev_season = \"+644\"", "gold": "SELECT MIN(ave_attendance) FROM table_2970978_1 WHERE ___ave_on_prev_season = \"+644\"", "scores": {"exact_match": 1.0}}
{"id": 106, "instruction": "What are the slovenian names of the villages that had 16.7% of slovenes in 1991?", "input": "CREATE TABLE table_10797463_1 (village__slovenian_ VARCHAR, percent_of_slovenes_1991 VARCHAR)", "prediction": "SELECT village__slovenian_ FROM table_10797463_1 WHERE percent_of_slovenes_1991 = \"16.7%\"", "gold": "SELECT village__slovenian_ FROM table_10797463_1 WHERE percent_of_slovenes_1991 = \"16.7%\"", "scores": {"exact_match": 1.0}}
{"id": 107, "instruction": "What is the total associated with Bronzes over 35?", "input": "CREATE TABLE table_name_15 (total VARCHAR, bronze INTEGER)", "prediction": "SELECT total FROM table_name_15 WHERE bronze > 35", "gold": "SELECT total FROM table_name_15 WHERE bronze > 35", "scores": {"exact_match": 1.0}}
{"id": 108, "instruction": "What is the Crowd for the Venue of Princes Park?", "input": "CREATE TABLE table_name_88 (crowd VARCHAR, venue VARCHAR)", "prediction": "SELECT crowd FROM table_name_88 WHERE venue = \"princes park\"", "gold": "SELECT crowd FROM table_name_88 WHERE venue = \"princes park\"", "scores": {"exact_match": 1.0}}
{"id": 109, "instruction": "Find all airlines that have flights from airport 'CVO' but not from 'APG'.", "input": "CREATE TABLE AIRLINES (Airline VARCHAR, uid VARCHAR); CREATE TABLE FLIGHTS (Airline VARCHAR, SourceAirport VARCHAR)", "prediction": "SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.SourceAirport = 'CVO' EXCEPT SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.SourceAirport = 'APG'", "gold": "SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.SourceAirport = \"CVO\" EXCEPT SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.SourceAirport = \"APG\"", "scores": {"exact_match": 0.0}}
{"id": 110, "instruction": "What was willie wood's to par?", "input": "CREATE TABLE table_name_15 (to_par VARCHAR, player VARCHAR)", "prediction": "SELECT to_par FROM table_name_15 WHERE player = \"willie wood\"", "gold": "SELECT to_par FROM table_name_15 WHERE player = \"willie wood\"", "scores": {"exact_match": 1.0}}
{"id": 111, "instruction": "What is the number of the song named 實情?", "input": "CREATE TABLE table_name_68 (number VARCHAR, name_of_the_song VARCHAR)", "prediction": "SELECT number FROM table_name_68 WHERE name_of_the_song = \"實情\"", "gold": "SELECT number FROM table_name_68 WHERE name_of_the_song = \"實情\"", "scores": {"exact_match": 1.0}}
{"id": 112, "instruction": "What is the Trophy with a Season with 2008–2009?", "input": "CREATE TABLE table_name_78 (trophy VARCHAR, season VARCHAR)", "prediction": "SELECT trophy FROM table_name_78 WHERE season = \"2008–2009\"", "gold": "SELECT trophy FROM table_name_78 WHERE season = \"2008–2009\"", "scores": {"exact_match": 1.0}}
{"id": 113, "instruction": "How many people attended the game that ended 4-6?", "input": "CREATE TABLE table_name_15 (attendance VARCHAR, score VARCHAR)", "prediction": "SELECT COUNT(attendance) FROM table_name_15 WHERE score = \"4-6\"", "gold": "SELECT COUNT(attendance) FROM table_name_15 WHERE score = \"4-6\"", "scores": {"exact_match": 1.0}}
{"id": 114, "instruction": "Which actor plays the character Helga Beimer?", "input": "CREATE TABLE table_name_83 (actor VARCHAR, character VARCHAR)", "prediction": "SELECT actor FROM table_name_83 WHERE character = \"helga beimer\"", "gold": "SELECT actor FROM table_name_83 WHERE character = \"helga beimer\"", "scores": {"exact_match": 1.0}}
{"id": 115, "instruction": "What was the name of the away team that had a tie of 2?", "input": "CREATE TABLE table_name_93 (away_team VARCHAR, tie_no VARCHAR)", "prediction": "SELECT away_team FROM table_name_93 WHERE tie_no = 2", "gold": "SELECT away_team FROM table_name_93 WHERE tie_no = \"2\"", "scores": {"exact_match": 0.0}}
{"id": 116, "instruction": "What is the region 1 where region 4 is tba is the complete eighth series?", "input": "CREATE TABLE table_1337525_1 (region_1 VARCHAR, region_4 VARCHAR, complete_series VARCHAR)", "prediction": "SELECT region_1 FROM table_1337525_1 WHERE region_4 = \"TBA\" AND complete_series = \"Eighth series\"", "gold": "SELECT region_1 FROM table_1337525_1 WHERE region_4 = \"TBA\" AND complete_series = \"The Complete Eighth Series\"", "scores": {"exact_match": 0.0}}
{"id": 117, "instruction": "What is the lowest amount of points held by the Epperly Indy roadster in 1959?", "input": "CREATE TABLE table_name_5 (points INTEGER, chassis VARCHAR, year VARCHAR)", "prediction": "SELECT MIN(points) FROM table_name_5 WHERE chassis = \"epperly indy roadster\" AND year = 1959", "gold": "SELECT MIN(points) FROM table_name_5 WHERE chassis = \"epperly indy roadster\" AND year = 1959", "scores": {"exact_match": 1.0}}
{"id": 118, "instruction": "how many dismissals in a game with 191 innings", "input": "CREATE TABLE table_19769948_26 (dismissals VARCHAR, innings VARCHAR)", "prediction": "SELECT COUNT(dismissals) FROM table_19769948_26 WHERE innings = 191", "gold": "SELECT COUNT(dismissals) FROM table_19769948_26 WHERE innings = 191", "scores": {"exact_match": 1.0}}
{"id": 119, "instruction": "What date did the West Indies win the match?", "input": "CREATE TABLE table_22384475_1 (match_date VARCHAR, winner VARCHAR)", "prediction": "SELECT match_date FROM table_22384475_1 WHERE winner = \"West Indies\"", "gold": "SELECT match_date FROM table_22384475_1 WHERE winner = \"West Indies\"", "scores": {"exact_match": 1.0}}
{"id": 120, "instruction": "How many legs were lost when the high checkout was 101?", "input": "CREATE TABLE table_27906667_2 (legs_lost VARCHAR, high_checkout VARCHAR)", "prediction": "SELECT legs_lost FROM table_27906667_2 WHERE high_checkout = 101", "gold": "SELECT COUNT(legs_lost) FROM table_27906667_2 WHERE high_checkout = 101", "scores": {"exact_match": 0.0}}
{"id": 121, "instruction": "Which Pick has a Player of chuck bryant, and an NFL Club of san diego chargers?", "input": "CREATE TABLE table_name_58 (pick VARCHAR, player VARCHAR, nfl_club VARCHAR)", "prediction": "SELECT pick FROM table_name_58 WHERE player = \"chuck bryant\" AND nfl_club = \"san diego chargers\"", "gold": "SELECT pick FROM table_name_58 WHERE player = \"chuck bryant\" AND nfl_club = \"san diego chargers\"", "scores": {"exact_match": 1.0}}
{"id": 122, "instruction": "Which Mongolian has a Tamil தமிழ் of pūrāṭam பூராடம்?", "input": "CREATE TABLE table_name_78 (mongolian VARCHAR, tamil_தமிழ் VARCHAR)", "prediction": "SELECT mongolian FROM table_name_78 WHERE tamil_தமிழ் = \"pūrāṭam பூராடம்\"", "gold": "SELECT mongolian FROM table_name_78 WHERE tamil_தமிழ் = \"pūrāṭam பூராடம்\"", "scores": {"exact_match": 1.0}}
{"id": 123, "instruction": "What is the english translation of the sanskrit word varsha?", "input": "CREATE TABLE table_name_81 (english_translation VARCHAR, season_in_sanskrit VARCHAR)", "prediction": "SELECT english_translation FROM table_name_81 WHERE season_in_sanskrit = \"varsha\"", "gold": "SELECT english_translation FROM table_name_81 WHERE season_in_sanskrit = \"varsha\"", "scores": {"exact_match": 1.0}}
{"id": 124, "instruction": "Name the most bronze for silver more than 6 and total less than 127 with gold less than 11", "input": "CREATE TABLE table_name_17 (bronze INTEGER, gold VARCHAR, silver VARCHAR, total VARCHAR)", "prediction": "SELECT MAX(bronze) FROM table_name_17 WHERE silver > 6 AND total < 127 AND gold < 11", "gold": "SELECT MAX(bronze) FROM table_name_17 WHERE silver > 6 AND total < 127 AND gold < 11", "scores": {"exact_match": 1.0}}
{"id": 125, "instruction": "what is the series for game 4?", "input": "CREATE TABLE table_name_88 (series VARCHAR, game VARCHAR)", "prediction": "SELECT series FROM table_name_88 WHERE game = 4", "gold": "SELECT series FROM table_name_88 WHERE game = 4", "scores": {"exact_match": 1.0}}
{"id": 126, "instruction": "What's amount of L2 Cache on a device that has a Frequency of 1500mhz?", "input": "CREATE TABLE table_name_78 (l2_cache VARCHAR, frequency VARCHAR)", "prediction": "SELECT l2_cache FROM table_name_78 WHERE frequency = \"1500mhz\"", "gold": "SELECT l2_cache FROM table_name_78 WHERE frequency = \"1500mhz\"", "scores": {"exact_match": 1.0}}
{"id": 127, "instruction": "Show all church names except for those that had a wedding in year 2015.", "input": "CREATE TABLE church (name VARCHAR); CREATE TABLE wedding (church_id VARCHAR, year VARCHAR); CREATE TABLE church (name VARCHAR, church_id VARCHAR)", "prediction": "SELECT name FROM church EXCEPT SELECT t1.name FROM church AS t1 JOIN wedding AS t2 ON t1.church_id = t2.church_id WHERE t2.year = 2015", "gold": "SELECT name FROM church EXCEPT SELECT T1.name FROM church AS T1 JOIN wedding AS T2 ON T1.church_id = T2.church_id WHERE T2.year = 2015", "scores": {"exact_match": 0.0}}
{"id": 128, "instruction": "What was the highest average point rating for a modern suspense show with 21 episodes?", "input": "CREATE TABLE table_name_29 (highest_average_point_ratings INTEGER, genre VARCHAR, number_of_episodes VARCHAR)", "prediction": "SELECT MAX(highest_average_point_ratings) FROM table_name_29 WHERE genre = \"modern suspense\" AND number_of_episodes = 21", "gold": "SELECT SUM(highest_average_point_ratings) FROM table_name_29 WHERE genre = \"modern suspense\" AND number_of_episodes = 21", "scores": {"exact_match": 0.0}}
{"id": 129, "instruction": "What is the to par for t10 and Colin Montgomerie?", "input": "CREATE TABLE table_name_35 (to_par VARCHAR, place VARCHAR, player VARCHAR)", "prediction": "SELECT to_par FROM table_name_35 WHERE place = \"t10\" AND player = \"colin montgomerie\"", "gold": "SELECT to_par FROM table_name_35 WHERE place = \"t10\" AND player = \"colin montgomerie\"", "scores": {"exact_match": 1.0}}
{"id": 130, "instruction": "What is the trans 2 duration if the biking stage is covered within 58:20?", "input": "CREATE TABLE table_17085947_32 (trans_2 VARCHAR, bike__40km_ VARCHAR)", "prediction": "SELECT trans_2 FROM table_17085947_32 WHERE bike__40km_ = \"58:20\"", "gold": "SELECT trans_2 FROM table_17085947_32 WHERE bike__40km_ = \"58:20\"", "scores": {"exact_match": 1.0}}
{"id": 131, "instruction": "In season 2005–06, who is 3rd place?", "input": "CREATE TABLE table_25058269_1 (season VARCHAR)", "prediction": "SELECT 3 AS rd_place FROM table_25058269_1 WHERE season = \"2005–06\"", "gold": "SELECT 3 AS rd_place FROM table_25058269_1 WHERE season = \"2005–06\"", "scores": {"exact_match": 1.0}}
{"id": 132, "instruction": "What are the id and zip code of the address with the highest monthly rental?", "input": "CREATE TABLE Student_Addresses (address_id VARCHAR); CREATE TABLE Addresses (zip_postcode VARCHAR, address_id VARCHAR)", "prediction": "SELECT T1.address_id, T1.zip_postcode FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id ORDER BY T2.monthly_rental DESC LIMIT 1", "gold": "SELECT T2.address_id, T1.zip_postcode FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id ORDER BY monthly_rental DESC LIMIT 1", "scores": {"exact_match": 0.0}}
{"id": 133, "instruction": "What is the names of the physicians who prescribe medication Thesisin?", "input": "CREATE TABLE physician (name VARCHAR, employeeid VARCHAR); CREATE TABLE prescribes (physician VARCHAR, medication VARCHAR); CREATE TABLE medication (code VARCHAR, name VARCHAR)", "prediction": "SELECT T1.name FROM physician AS T1 JOIN prescribes AS T2 ON T1.employeeid = T2.physician JOIN medication AS T3 ON T2.physician = T3.code WHERE T3.name = \"Thesisin\"", "gold": "SELECT DISTINCT T1.name FROM physician AS T1 JOIN prescribes AS T2 ON T1.employeeid = T2.physician JOIN medication AS T3 ON T3.code = T2.medication WHERE T3.name = \"Thesisin\"", "scores": {"exact_match": 0.0}}
{"id": 134, "instruction": "Name the syrian christians for  thiruvananthapuram", "input": "CREATE TABLE table_23214055_2 (syrian_christians VARCHAR, district VARCHAR)", "prediction": "SELECT syrian_christians FROM table_23214055_2 WHERE district = \"Thiruvananthapuram\"", "gold": "SELECT syrian_christians FROM table_23214055_2 WHERE district = \"Thiruvananthapuram\"", "scores": {"exact_match": 1.0}}
{"id": 135, "instruction": "What launch has a Ship of fearless?", "input": "CREATE TABLE table_name_64 (launched VARCHAR, ship VARCHAR)", "prediction": "SELECT launched FROM table_name_64 WHERE ship = \"fearless\"", "gold": "SELECT launched FROM table_name_64 WHERE ship = \"fearless\"", "scores": {"exact_match": 1.0}}
{"id": 136, "instruction": "How many bronze's on average for nations with over 1 total, less than 2 golds, ranked 2nd?", "input": "CREATE TABLE table_name_16 (bronze INTEGER, rank VARCHAR, total VARCHAR, gold VARCHAR)", "prediction": "SELECT AVG(bronze) FROM table_name_16 WHERE total > 1 AND gold < 2 AND rank = \"2nd\"", "gold": "SELECT AVG(bronze) FROM table_name_16 WHERE total > 1 AND gold < 2 AND rank = 2", "scores": {"exact_match": 0.0}}
{"id": 137, "instruction": "What is the Draw number of the song by Artist of \"Loudest Whisper\" with 68 or less Points with a place of 9 or larger?", "input": "CREATE TABLE table_name_63 (draw INTEGER, place VARCHAR, points VARCHAR, artist VARCHAR)", "prediction": "SELECT SUM(draw) FROM table_name_63 WHERE points < 68 AND artist = \"loudest whisper\" AND place > 9", "gold": "SELECT AVG(draw) FROM table_name_63 WHERE points < 68 AND artist = \"loudest whisper\" AND place > 9", "scores": {"exact_match": 0.0}}
{"id": 138, "instruction": "Name the least tries for when w is 4", "input": "CREATE TABLE table_16770037_4 (tries_for INTEGER, w VARCHAR)", "prediction": "SELECT MIN(tries_for) FROM table_16770037_4 WHERE w = 4", "gold": "SELECT MIN(tries_for) FROM table_16770037_4 WHERE w = 4", "scores": {"exact_match": 1.0}}
{"id": 139, "instruction": "Name the fleet numbers for diagram of 186 and lot number of 30798", "input": "CREATE TABLE table_name_10 (fleet_numbers VARCHAR, diagram VARCHAR, lot_no VARCHAR)", "prediction": "SELECT fleet_numbers FROM table_name_10 WHERE diagram = \"186\" AND lot_no = \"30798\"", "gold": "SELECT fleet_numbers FROM table_name_10 WHERE diagram = 186 AND lot_no = 30798", "scores": {"exact_match": 0.0}}
{"id": 140, "instruction": "what's the cylinders/ valves with model being 1.8 20v", "input": "CREATE TABLE table_1176162_3 (cylinders__valves VARCHAR, model VARCHAR)", "prediction": "SELECT cylinders__valves FROM table_1176162_3 WHERE model = \"1.8 20v\"", "gold": "SELECT cylinders__valves FROM table_1176162_3 WHERE model = \"1.8 20V\"", "scores": {"exact_match": 0.0}}
{"id": 141, "instruction": "Which County has a School of bloomfield?", "input": "CREATE TABLE table_name_32 (county VARCHAR, school VARCHAR)", "prediction": "SELECT county FROM table_name_32 WHERE school = \"bloomfield\"", "gold": "SELECT county FROM table_name_32 WHERE school = \"bloomfield\"", "scores": {"exact_match": 1.0}}
{"id": 142, "instruction": "Which network has bob costas as the studio host and darren pang as the ice level reporters?", "input": "CREATE TABLE table_22485543_1 (network VARCHAR, studio_host VARCHAR, ice_level_reporters VARCHAR)", "prediction": "SELECT network FROM table_22485543_1 WHERE studio_host = \"Bob Costas\" AND ice_level_reporters = \"Darren Pang\"", "gold": "SELECT network FROM table_22485543_1 WHERE studio_host = \"Bob Costas\" AND ice_level_reporters = \"Darren Pang\"", "scores": {"exact_match": 1.0}}
{"id": 143, "instruction": "What's the average year for the name aida-wedo dorsa with a diameter less than 450?", "input": "CREATE TABLE table_name_16 (year_named INTEGER, name VARCHAR, diameter__km_ VARCHAR)", "prediction": "SELECT AVG(year_named) FROM table_name_16 WHERE name = \"aida-wedo dorsa\" AND diameter__km_ < 450", "gold": "SELECT AVG(year_named) FROM table_name_16 WHERE name = \"aida-wedo dorsa\" AND diameter__km_ < 450", "scores": {"exact_match": 1.0}}
{"id": 144, "instruction": "What is the total number of national titles for the team with doane tigers as the mascot?", "input": "CREATE TABLE table_name_2 (national_titles VARCHAR, mascot VARCHAR)", "prediction": "SELECT COUNT(national_titles) FROM table_name_2 WHERE mascot = \"doane tigers\"", "gold": "SELECT COUNT(national_titles) FROM table_name_2 WHERE mascot = \"doane tigers\"", "scores": {"exact_match": 1.0}}
{"id": 145, "instruction": "What is the year that a record was recorded with Libor Pesek as conductor?", "input": "CREATE TABLE table_name_14 (year_of_recording INTEGER, conductor VARCHAR)", "prediction": "SELECT MIN(year_of_recording) FROM table_name_14 WHERE conductor = \"libor pesek\"", "gold": "SELECT SUM(year_of_recording) FROM table_name_14 WHERE conductor = \"libor pesek\"", "scores": {"exact_match": 0.0}}
{"id": 146, "instruction": "What is the additional major sponsor(s) that has red as its main color after 1991?", "input": "CREATE TABLE table_name_91 (additional_major_sponsor_s_ VARCHAR, main_colour_s_ VARCHAR, year VARCHAR)", "prediction": "SELECT additional_major_sponsor_s_ FROM table_name_91 WHERE main_colour_s_ = \"red\" AND year > 1991", "gold": "SELECT additional_major_sponsor_s_ FROM table_name_91 WHERE main_colour_s_ = \"red\" AND year > 1991", "scores": {"exact_match": 1.0}}
{"id": 147, "instruction": "Name the discipline for bronze being 0", "input": "CREATE TABLE table_22360_3 (discipline VARCHAR, bronze VARCHAR)", "prediction": "SELECT discipline FROM table_22360_3 WHERE bronze = 0", "gold": "SELECT discipline FROM table_22360_3 WHERE bronze = 0", "scores": {"exact_match": 1.0}}
{"id": 148, "instruction": "What year was Stephenson the builder?", "input": "CREATE TABLE table_name_93 (built VARCHAR, builder VARCHAR)", "prediction": "SELECT built FROM table_name_93 WHERE builder = \"stephenson\"", "gold": "SELECT built FROM table_name_93 WHERE builder = \"stephenson\"", "scores": {"exact_match": 1.0}}
{"id": 149, "instruction": "What is the rank for the competitor from Bulgaria?", "input": "CREATE TABLE table_name_16 (rank INTEGER, country VARCHAR)", "prediction": "SELECT SUM(rank) FROM table_name_16 WHERE country = \"bulgaria\"", "gold": "SELECT MIN(rank) FROM table_name_16 WHERE country = \"bulgaria\"", "scores": {"exact_match": 0.0}}
{"id": 150, "instruction": "Name the venue for collingwood home team", "input": "CREATE TABLE table_name_40 (venue VARCHAR, home_team VARCHAR)", "prediction": "SELECT venue FROM table_name_40 WHERE home_team = \"collingwood\"", "gold": "SELECT venue FROM table_name_40 WHERE home_team = \"collingwood\"", "scores": {"exact_match": 1.0}}
{"id": 151, "instruction": "How many bronzes have 1 as the total, with spain (esp) as the nation, and a gold greater than 0?", "input": "CREATE TABLE table_name_31 (bronze VARCHAR, gold VARCHAR, total VARCHAR, nation VARCHAR)", "prediction": "SELECT COUNT(bronze) FROM table_name_31 WHERE total = 1 AND nation = \"spain (esp)\" AND gold > 0", "gold": "SELECT COUNT(bronze) FROM table_name_31 WHERE total = 1 AND nation = \"spain (esp)\" AND gold > 0", "scores": {"exact_match": 1.0}}
{"id": 152, "instruction": "What is the average number of points of the team with more than 17 pg won?", "input": "CREATE TABLE table_name_26 (points__pts_ INTEGER, won__pg_ INTEGER)", "prediction": "SELECT AVG(points__pts_) FROM table_name_26 WHERE won__pg_ > 17", "gold": "SELECT AVG(points__pts_) FROM table_name_26 WHERE won__pg_ > 17", "scores": {"exact_match": 1.0}}
{"id": 153, "instruction": "Who had the sport of athletics on a date earlier than 16?", "input": "CREATE TABLE table_name_30 (name VARCHAR, sport VARCHAR, date VARCHAR)", "prediction": "SELECT name FROM table_name_30 WHERE sport = \"athletics\" AND date < 16", "gold": "SELECT name FROM table_name_30 WHERE sport = \"athletics\" AND date < 16", "scores": {"exact_match": 1.0}}
{"id": 154, "instruction": "Find the states where have some college students in tryout and their decisions are yes.", "input": "CREATE TABLE tryout (cName VARCHAR, decision VARCHAR); CREATE TABLE college (state VARCHAR, cName VARCHAR)", "prediction": "SELECT T1.state FROM college AS T1 JOIN tryout AS T2 ON T1.cName = T2.cName WHERE T2.decision = \"yes\"", "gold": "SELECT DISTINCT T1.state FROM college AS T1 JOIN tryout AS T2 ON T1.cName = T2.cName WHERE T2.decision = 'yes'", "scores": {"exact_match": 0.0}}
{"id": 155, "instruction": "Where is California Lutheran University located?", "input": "CREATE TABLE table_14976504_2 (location VARCHAR, institution VARCHAR)", "prediction": "SELECT location FROM table_14976504_2 WHERE institution = \"California Lutheran University\"", "gold": "SELECT COUNT(location) FROM table_14976504_2 WHERE institution = \"California Lutheran University\"", "scores": {"exact_match": 0.0}}
{"id": 156, "instruction": "Which airport has IATA of BKK?", "input": "CREATE TABLE table_name_59 (airport VARCHAR, iata VARCHAR)", "prediction": "SELECT airport FROM table_name_59 WHERE iata = \"bkk\"", "gold": "SELECT airport FROM table_name_59 WHERE iata = \"bkk\"", "scores": {"exact_match": 1.0}}
{"id": 157, "instruction": "Which players plays at Akron College?", "input": "CREATE TABLE table_name_25 (player VARCHAR, college VARCHAR)", "prediction": "SELECT player FROM table_name_25 WHERE college = \"akron\"", "gold": "SELECT player FROM table_name_25 WHERE college = \"akron\"", "scores": {"exact_match": 1.0}}
{"id": 158, "instruction": "When  julien jousse patrice goueslard yann clairay is teh gt1 of the winning team how many measurements of rnd. are there?", "input": "CREATE TABLE table_19722436_2 (rnd VARCHAR, gt1_winning_team VARCHAR)", "prediction": "SELECT COUNT(rnd) FROM table_19722436_2 WHERE gt1_winning_team = \"Julien Jousse Patrice Goueslard Yann Clairay\"", "gold": "SELECT COUNT(rnd) FROM table_19722436_2 WHERE gt1_winning_team = \"Julien Jousse Patrice Goueslard Yann Clairay\"", "scores": {"exact_match": 1.0}}
{"id": 159, "instruction": "Name the number of seats to be won being % of popular vote at 6.88%", "input": "CREATE TABLE table_19283982_4 (_number_of_seats_to_be_won VARCHAR, _percentage_of_popular_vote VARCHAR)", "prediction": "SELECT COUNT(_number_of_seats_to_be_won) FROM table_19283982_4 WHERE _percentage_of_popular_vote = \"6.88%\"", "gold": "SELECT _number_of_seats_to_be_won FROM table_19283982_4 WHERE _percentage_of_popular_vote = \"6.88%\"", "scores": {"exact_match": 0.0}}
{"id": 160, "instruction": "what team lost the most points", "input": "CREATE TABLE table_name_56 (lost VARCHAR)", "prediction": "SELECT lost FROM table_name_56 ORDER BY lost DESC LIMIT 1", "gold": "SELECT lost FROM table_name_56 WHERE \"points\" = \"points\"", "scores": {"exact_match": 0.0}}
{"id": 161, "instruction": "Who were the champions in 1988?", "input": "CREATE TABLE table_name_26 (champion VARCHAR, year VARCHAR)", "prediction": "SELECT champion FROM table_name_26 WHERE year = 1988", "gold": "SELECT champion FROM table_name_26 WHERE year = 1988", "scores": {"exact_match": 1.0}}
{"id": 162, "instruction": "What school is in Brechin?", "input": "CREATE TABLE table_21563298_1 (external_link VARCHAR, location VARCHAR)", "prediction": "SELECT external_link FROM table_21563298_1 WHERE location = \"Brechin\"", "gold": "SELECT external_link FROM table_21563298_1 WHERE location = \"Brechin\"", "scores": {"exact_match": 1.0}}
{"id": 163, "instruction": "Show names of pilots that have more than one record.", "input": "CREATE TABLE pilot (Pilot_name VARCHAR, pilot_ID VARCHAR); CREATE TABLE pilot_record (pilot_ID VARCHAR)", "prediction": "SELECT T1.Pilot_name FROM pilot AS T1 JOIN pilot_record AS T2 ON T1.pilot_ID = T2.pilot_ID GROUP BY T1.pilot_ID HAVING COUNT(*) > 1", "gold": "SELECT T2.Pilot_name, COUNT(*) FROM pilot_record AS T1 JOIN pilot AS T2 ON T1.pilot_ID = T2.pilot_ID GROUP BY T2.Pilot_name HAVING COUNT(*) > 1", "scores": {"exact_match": 0.0}}
{"id": 164, "instruction": "How many mens doubles when womens doubles is catrine bengtsson margit borg?", "input": "CREATE TABLE table_12171145_1 (mens_doubles VARCHAR, womens_doubles VARCHAR)", "prediction": "SELECT COUNT(mens_doubles) FROM table_12171145_1 WHERE womens_doubles = \"Catrine Bengtsson Margit Borg\"", "gold": "SELECT COUNT(mens_doubles) FROM table_12171145_1 WHERE womens_doubles = \"Catrine Bengtsson Margit Borg\"", "scores": {"exact_match": 1.0}}
{"id": 165, "instruction": "Which class had a machine of RS125R, points over 113, and a rank of 4th?", "input": "CREATE TABLE table_name_30 (class VARCHAR, rank VARCHAR, machine VARCHAR, points VARCHAR)", "prediction": "SELECT class FROM table_name_30 WHERE machine = \"rs125r\" AND points > 113 AND rank = \"4th\"", "gold": "SELECT class FROM table_name_30 WHERE machine = \"rs125r\" AND points > 113 AND rank = \"4th\"", "scores": {"exact_match": 1.0}}
{"id": 166, "instruction": "how many parks are name beltzville state park?", "input": "CREATE TABLE table_name_77 (date_founded VARCHAR, park_name VARCHAR)", "prediction": "SELECT COUNT(date_founded) FROM table_name_77 WHERE park_name = \"beltzville state park\"", "gold": "SELECT COUNT(date_founded) FROM table_name_77 WHERE park_name = \"beltzville state park\"", "scores": {"exact_match": 1.0}}
{"id": 167, "instruction": "What is Home Team, when Date is 18 February 1956, and when Tie No is 3?", "input": "CREATE TABLE table_name_69 (home_team VARCHAR, date VARCHAR, tie_no VARCHAR)", "prediction": "SELECT home_team FROM table_name_69 WHERE date = \"18 february 1956\" AND tie_no = \"3\"", "gold": "SELECT home_team FROM table_name_69 WHERE date = \"18 february 1956\" AND tie_no = \"3\"", "scores": {"exact_match": 1.0}}
{"id": 168, "instruction": "Who was the couple on the bottom two?", "input": "CREATE TABLE table_26375386_18 (couple VARCHAR, result VARCHAR)", "prediction": "SELECT couple FROM table_26375386_18 WHERE result = \"Bottom two\"", "gold": "SELECT couple FROM table_26375386_18 WHERE result = \"Bottom two\"", "scores": {"exact_match": 1.0}}
{"id": 169, "instruction": "List all of the NLL Toronto Rock players.", "input": "CREATE TABLE table_18042409_1 (player VARCHAR, national_lacrosse_league VARCHAR)", "prediction": "SELECT player FROM table_18042409_1 WHERE national_lacrosse_league = \"Toronto Rock\"", "gold": "SELECT player FROM table_18042409_1 WHERE national_lacrosse_league = \"Toronto Rock\"", "scores": {"exact_match": 1.0}}
{"id": 170, "instruction": "Show all countries and the number of people from each country.", "input": "CREATE TABLE people (country VARCHAR)", "prediction": "SELECT country, COUNT(*) FROM people GROUP BY country", "gold": "SELECT country, COUNT(*) FROM people GROUP BY country", "scores": {"exact_match": 1.0}}
{"id": 171, "instruction": "Who won the Men's Doubles when Guo Xin won the Women's Singles?", "input": "CREATE TABLE table_12164707_1 (mens_doubles VARCHAR, womens_singles VARCHAR)", "prediction": "SELECT mens_doubles FROM table_12164707_1 WHERE womens_singles = \"Guo Xin\"", "gold": "SELECT mens_doubles FROM table_12164707_1 WHERE womens_singles = \"Guo Xin\"", "scores": {"exact_match": 1.0}}
{"id": 172, "instruction": "What is the debut year for the player with fewer than 54 games, fewer than 8 goals and 1989 at club?", "input": "CREATE TABLE table_name_6 (debut_year INTEGER, goals VARCHAR, games VARCHAR, years_at_club VARCHAR)", "prediction": "SELECT SUM(debut_year) FROM table_name_6 WHERE goals < 8 AND games < 54 AND years_at_club = \"1989\"", "gold": "SELECT AVG(debut_year) FROM table_name_6 WHERE games < 54 AND years_at_club = \"1989\" AND goals < 8", "scores": {"exact_match": 0.0}}
{"id": 173, "instruction": "What is the sum of the to par for the United States in the winning year of 1967, and has a total of more than 146?", "input": "CREATE TABLE table_name_38 (to_par INTEGER, total VARCHAR, country VARCHAR, year_s__won VARCHAR)", "prediction": "SELECT SUM(to_par) FROM table_name_38 WHERE country = \"united states\" AND year_s__won = \"1967\" AND total > 146", "gold": "SELECT SUM(to_par) FROM table_name_38 WHERE country = \"united states\" AND year_s__won = \"1967\" AND total > 146", "scores": {"exact_match": 1.0}}
{"id": 174, "instruction": "What is the country of the play based in Athens at the Attis Theatre company?", "input": "CREATE TABLE table_name_33 (country VARCHAR, base VARCHAR, company VARCHAR)", "prediction": "SELECT country FROM table_name_33 WHERE base = \"athens\" AND company = \"attis theatre\"", "gold": "SELECT country FROM table_name_33 WHERE base = \"athens\" AND company = \"attis theatre\"", "scores": {"exact_match": 1.0}}
{"id": 175, "instruction": "Where were the wrestlers born who debuted in 2002-7?", "input": "CREATE TABLE table_1557974_1 (birthplace VARCHAR, debut VARCHAR)", "prediction": "SELECT birthplace FROM table_1557974_1 WHERE debut = \"2002-7\"", "gold": "SELECT birthplace FROM table_1557974_1 WHERE debut = \"2002-7\"", "scores": {"exact_match": 1.0}}
{"id": 176, "instruction": "Which federal state has 6 representatives of national average?", "input": "CREATE TABLE table_name_3 (federal_state VARCHAR, representatives_of_national_average VARCHAR)", "prediction": "SELECT federal_state FROM table_name_3 WHERE representatives_of_national_average = 6", "gold": "SELECT federal_state FROM table_name_3 WHERE representatives_of_national_average = \"6\"", "scores": {"exact_match": 0.0}}
{"id": 177, "instruction": "What is the average number of laps for max biaggi", "input": "CREATE TABLE table_name_80 (laps INTEGER, rider VARCHAR)", "prediction": "SELECT AVG(laps) FROM table_name_80 WHERE rider = \"max biaggi\"", "gold": "SELECT AVG(laps) FROM table_name_80 WHERE rider = \"max biaggi\"", "scores": {"exact_match": 1.0}}
{"id": 178, "instruction": "How many players are from Sioux City, Iowa?", "input": "CREATE TABLE table_14342367_13 (player VARCHAR, hometown VARCHAR)", "prediction": "SELECT COUNT(player) FROM table_14342367_13 WHERE hometown = \"Sioux City, Iowa\"", "gold": "SELECT COUNT(player) FROM table_14342367_13 WHERE hometown = \"Sioux City, Iowa\"", "scores": {"exact_match": 1.0}}
{"id": 179, "instruction": "What is Australian, when British is \"aɪ, ɪ, ə\"?", "input": "CREATE TABLE table_name_12 (australian VARCHAR, british VARCHAR)", "prediction": "SELECT australian FROM table_name_12 WHERE british = \"aɪ, ɪ, ə\"", "gold": "SELECT australian FROM table_name_12 WHERE british = \"aɪ, ɪ, ə\"", "scores": {"exact_match": 1.0}}
{"id": 180, "instruction": "Who is second on the team with Euan Byers at lead?", "input": "CREATE TABLE table_name_38 (second VARCHAR, lead VARCHAR)", "prediction": "SELECT second FROM table_name_38 WHERE lead = \"euan byers\"", "gold": "SELECT second FROM table_name_38 WHERE lead = \"euan byers\"", "scores": {"exact_match": 1.0}}
{"id": 181, "instruction": "How much money does player horton smith have?", "input": "CREATE TABLE table_name_62 (money___$__ VARCHAR, player VARCHAR)", "prediction": "SELECT money___$__ FROM table_name_62 WHERE player = \"horton smith\"", "gold": "SELECT money___$__ FROM table_name_62 WHERE player = \"horton smith\"", "scores": {"exact_match": 1.0}}
{"id": 182, "instruction": "Name the total number of population per square km with population 1.12006 of 12.757", "input": "CREATE TABLE table_name_97 (population_per_square_km VARCHAR, population_112006 VARCHAR)", "prediction": "SELECT COUNT(population_per_square_km) FROM table_name_97 WHERE population_112006 = \"12.757\"", "gold": "SELECT COUNT(population_per_square_km) FROM table_name_97 WHERE population_112006 = 12.757", "scores": {"exact_match": 0.0}}
{"id": 183, "instruction": "What is the number of wins that has a top-10 of 2, and more events than 8, more cuts than 6?", "input": "CREATE TABLE table_name_52 (wins VARCHAR, cuts_made VARCHAR, top_10 VARCHAR, events VARCHAR)", "prediction": "SELECT wins FROM table_name_52 WHERE top_10 = 2 AND events > 8 AND cuts_made > 6", "gold": "SELECT COUNT(wins) FROM table_name_52 WHERE top_10 = 2 AND events > 8 AND cuts_made > 6", "scores": {"exact_match": 0.0}}
{"id": 184, "instruction": "What was the streak for the game after 8 on Nov 22?", "input": "CREATE TABLE table_name_74 (streak VARCHAR, game VARCHAR, date VARCHAR)", "prediction": "SELECT streak FROM table_name_74 WHERE game > 8 AND date = \"nov 22\"", "gold": "SELECT streak FROM table_name_74 WHERE game > 8 AND date = \"nov 22\"", "scores": {"exact_match": 1.0}}
{"id": 185, "instruction": "How many asian rank have 1 as a mideast rank?", "input": "CREATE TABLE table_2248784_4 (rank_asia VARCHAR, rank_mideast VARCHAR)", "prediction": "SELECT COUNT(rank_asia) FROM table_2248784_4 WHERE rank_mideast = 1", "gold": "SELECT COUNT(rank_asia) FROM table_2248784_4 WHERE rank_mideast = 1", "scores": {"exact_match": 1.0}}
{"id": 186, "instruction": "What is the hometown of the player which has a height of 6-0?", "input": "CREATE TABLE table_name_31 (hometown VARCHAR, height VARCHAR)", "prediction": "SELECT hometown FROM table_name_31 WHERE height = \"6-0\"", "gold": "SELECT hometown FROM table_name_31 WHERE height = \"6-0\"", "scores": {"exact_match": 1.0}}
{"id": 187, "instruction": "What is Team (B), when S No is less than 18, when Margin is 8 Wickets, and when Match Date is Oct 30, 1989?", "input": "CREATE TABLE table_name_31 (team__b_ VARCHAR, match_date VARCHAR, s_no VARCHAR, margin VARCHAR)", "prediction": "SELECT team__b_ FROM table_name_31 WHERE s_no < 18 AND margin = \"8 wickets\" AND match_date = \"oct 30, 1989\"", "gold": "SELECT team__b_ FROM table_name_31 WHERE s_no < 18 AND margin = \"8 wickets\" AND match_date = \"oct 30, 1989\"", "scores": {"exact_match": 1.0}}
{"id": 188, "instruction": "Which away team played on June 9, 2015 with a home team of f1?", "input": "CREATE TABLE table_name_34 (away_team VARCHAR, date VARCHAR, home_team VARCHAR)", "prediction": "SELECT away_team FROM table_name_34 WHERE date = \"june 9, 2015\" AND home_team = \"f1\"", "gold": "SELECT away_team FROM table_name_34 WHERE date = \"june 9, 2015\" AND home_team = \"f1\"", "scores": {"exact_match": 1.0}}
{"id": 189, "instruction": "What film has a leading man of adolphe menjou in 1939?", "input": "CREATE TABLE table_name_91 (film VARCHAR, leading_man VARCHAR, year VARCHAR)", "prediction": "SELECT film FROM table_name_91 WHERE leading_man = \"adolphe menjou\" AND year = 1939", "gold": "SELECT film FROM table_name_91 WHERE leading_man = \"adolphe menjou\" AND year = 1939", "scores": {"exact_match": 1.0}}
{"id": 190, "instruction": "Who had a Qualifying 2 time over 58.669 for Team Australia?", "input": "CREATE TABLE table_name_68 (name VARCHAR, qual_2 VARCHAR, team VARCHAR)", "prediction": "SELECT name FROM table_name_68 WHERE qual_2 > 58.669 AND team = \"australia\"", "gold": "SELECT name FROM table_name_68 WHERE qual_2 > 58.669 AND team = \"team australia\"", "scores": {"exact_match": 0.0}}
{"id": 191, "instruction": "What is the time for when cornelio velasquez was the jockey?", "input": "CREATE TABLE table_name_12 (time VARCHAR, jockey VARCHAR)", "prediction": "SELECT time FROM table_name_12 WHERE jockey = \"cornelio velasquez\"", "gold": "SELECT time FROM table_name_12 WHERE jockey = \"cornelio velasquez\"", "scores": {"exact_match": 1.0}}
{"id": 192, "instruction": "How many states is Grant Wharington from?", "input": "CREATE TABLE table_25595209_1 (state_country VARCHAR, skipper VARCHAR)", "prediction": "SELECT COUNT(state_country) FROM table_25595209_1 WHERE skipper = \"Grant Wharington\"", "gold": "SELECT COUNT(state_country) FROM table_25595209_1 WHERE skipper = \"Grant Wharington\"", "scores": {"exact_match": 1.0}}
{"id": 193, "instruction": "What is the sum of rounds where freddie mitchell was picked?", "input": "CREATE TABLE table_name_41 (round INTEGER, player VARCHAR)", "prediction": "SELECT SUM(round) FROM table_name_41 WHERE player = \"freddie mitchell\"", "gold": "SELECT SUM(round) FROM table_name_41 WHERE player = \"freddie mitchell\"", "scores": {"exact_match": 1.0}}
{"id": 194, "instruction": "What's the report for the mosport park circuit?", "input": "CREATE TABLE table_name_67 (report VARCHAR, circuit VARCHAR)", "prediction": "SELECT report FROM table_name_67 WHERE circuit = \"mosport park\"", "gold": "SELECT report FROM table_name_67 WHERE circuit = \"mosport park\"", "scores": {"exact_match": 1.0}}
{"id": 195, "instruction": "What was the original name of the restaurant located in Orillia, ON?", "input": "CREATE TABLE table_name_50 (original_name VARCHAR, location VARCHAR)", "prediction": "SELECT original_name FROM table_name_50 WHERE location = \"orillia, on\"", "gold": "SELECT original_name FROM table_name_50 WHERE location = \"orillia, on\"", "scores": {"exact_match": 1.0}}
{"id": 196, "instruction": "The winner Arnfinn Bergmann has what under country?", "input": "CREATE TABLE table_name_45 (country VARCHAR, winner VARCHAR)", "prediction": "SELECT country FROM table_name_45 WHERE winner = \"arnfinn bergmann\"", "gold": "SELECT country FROM table_name_45 WHERE winner = \"arnfinn bergmann\"", "scores": {"exact_match": 1.0}}
{"id": 197, "instruction": "What is the highest swimsuit a contestant from Kansas with an average larger than 8.48, an interview higher than 8.58, and an evening gown higher than 8.82 has?", "input": "CREATE TABLE table_name_69 (swimsuit INTEGER, state VARCHAR, evening_gown VARCHAR, average VARCHAR, interview VARCHAR)", "prediction": "SELECT MAX(swimsuit) FROM table_name_69 WHERE average > 8.48 AND interview > 8.58 AND evening_gown > 8.82 AND state = \"kansas\"", "gold": "SELECT MAX(swimsuit) FROM table_name_69 WHERE average > 8.48 AND interview > 8.58 AND evening_gown > 8.82 AND state = \"kansas\"", "scores": {"exact_match": 1.0}}
{"id": 198, "instruction": "Who beat the Marlins with a score of 4-0?", "input": "CREATE TABLE table_name_68 (winning_team VARCHAR, losing_team VARCHAR, score VARCHAR)", "prediction": "SELECT winning_team FROM table_name_68 WHERE losing_team = \"marlins\" AND score = \"4-0\"", "gold": "SELECT winning_team FROM table_name_68 WHERE losing_team = \"marlins\" AND score = \"4-0\"", "scores": {"exact_match": 1.0}}
{"id": 199, "instruction": "What is the Writer with a Date that is january 1975?", "input": "CREATE TABLE table_name_63 (writer VARCHAR, date VARCHAR)", "prediction": "SELECT writer FROM table_name_63 WHERE date = \"january 1975\"", "gold": "SELECT writer FROM table_name_63 WHERE date = \"january 1975\"", "scores": {"exact_match": 1.0}}
{"id": 200, "instruction": "On which date was the record of 27-28-11 set?", "input": "CREATE TABLE table_27537518_9 (date VARCHAR, record VARCHAR)", "prediction": "SELECT date FROM table_27537518_9 WHERE record = \"27-28-11\"", "gold": "SELECT date FROM table_27537518_9 WHERE record = \"27-28-11\"", "scores": {"exact_match": 1.0}}
{"id": 201, "instruction": "Which headphone models correspond to the US MSRP of $150?", "input": "CREATE TABLE table_1601027_1 (headphone_model VARCHAR, us_msrp VARCHAR)", "prediction": "SELECT headphone_model FROM table_1601027_1 WHERE us_msrp = \"$150\"", "gold": "SELECT headphone_model FROM table_1601027_1 WHERE us_msrp = \"$150\"", "scores": {"exact_match": 1.0}}
{"id": 202, "instruction": "Which position has a pick # of 238 and a round above 3?", "input": "CREATE TABLE table_name_45 (position VARCHAR, round VARCHAR, pick__number VARCHAR)", "prediction": "SELECT position FROM table_name_45 WHERE round > 3 AND pick__number = 238", "gold": "SELECT position FROM table_name_45 WHERE round > 3 AND pick__number = 238", "scores": {"exact_match": 1.0}}
{"id": 203, "instruction": "How many Points have Drawn of 7, and a Team of corinthians, and a Played larger than 18?", "input": "CREATE TABLE table_name_72 (points VARCHAR, played VARCHAR, drawn VARCHAR, team VARCHAR)", "prediction": "SELECT COUNT(points) FROM table_name_72 WHERE drawn = 7 AND team = \"corinthians\" AND played > 18", "gold": "SELECT COUNT(points) FROM table_name_72 WHERE drawn = 7 AND team = \"corinthians\" AND played > 18", "scores": {"exact_match": 1.0}}
{"id": 204, "instruction": "What is the venue for the game on 1 June 1929 where Richmond was the away team?", "input": "CREATE TABLE table_name_96 (venue VARCHAR, date VARCHAR, away_team VARCHAR)", "prediction": "SELECT venue FROM table_name_96 WHERE date = \"1 june 1929\" AND away_team = \"richmond\"", "gold": "SELECT venue FROM table_name_96 WHERE date = \"1 june 1929\" AND away_team = \"richmond\"", "scores": {"exact_match": 1.0}}
{"id": 205, "instruction": "Which Affected area codes have an Effective date of august 30, 2014?", "input": "CREATE TABLE table_name_95 (affected_area_codes VARCHAR, effective_date VARCHAR)", "prediction": "SELECT affected_area_codes FROM table_name_95 WHERE effective_date = \"august 30, 2014\"", "gold": "SELECT affected_area_codes FROM table_name_95 WHERE effective_date = \"august 30, 2014\"", "scores": {"exact_match": 1.0}}
{"id": 206, "instruction": "What position did Co-driver Jackie Oliver finish in the 24 hours of Le Mans?", "input": "CREATE TABLE table_name_39 (pos VARCHAR, race VARCHAR, co_driver VARCHAR)", "prediction": "SELECT pos FROM table_name_39 WHERE race = \"24 hours of le mans\" AND co_driver = \"jackie oliver\"", "gold": "SELECT pos FROM table_name_39 WHERE race = \"24 hours of le mans\" AND co_driver = \"jackie oliver\"", "scores": {"exact_match": 1.0}}
{"id": 207, "instruction": "What is the round of the defense player from the United States?", "input": "CREATE TABLE table_name_32 (round VARCHAR, position VARCHAR, nationality VARCHAR)", "prediction": "SELECT round FROM table_name_32 WHERE position = \"defense\" AND nationality = \"united states\"", "gold": "SELECT round FROM table_name_32 WHERE position = \"defense\" AND nationality = \"united states\"", "scores": {"exact_match": 1.0}}
{"id": 208, "instruction": "How many fault status codes are recorded in the fault log parts table?", "input": "CREATE TABLE Fault_Log_Parts (fault_status VARCHAR)", "prediction": "SELECT COUNT(fault_status) FROM Fault_Log_Parts", "gold": "SELECT DISTINCT fault_status FROM Fault_Log_Parts", "scores": {"exact_match": 0.0}}
{"id": 209, "instruction": "What is the total year with a Team of scuderia ferrari, an Engine of ferrari 106 2.5 l4, and more than 12 points?", "input": "CREATE TABLE table_name_4 (year INTEGER, points VARCHAR, team VARCHAR, engine VARCHAR)", "prediction": "SELECT SUM(year) FROM table_name_4 WHERE team = \"scuderia ferrari\" AND engine = \"ferrari 106 2.5 l4\" AND points > 12", "gold": "SELECT SUM(year) FROM table_name_4 WHERE team = \"scuderia ferrari\" AND engine = \"ferrari 106 2.5 l4\" AND points > 12", "scores": {"exact_match": 1.0}}
{"id": 210, "instruction": "Who is the January playmate with a September playmate Nikki Schieler?", "input": "CREATE TABLE table_name_15 (january VARCHAR, september VARCHAR)", "prediction": "SELECT january FROM table_name_15 WHERE september = \"nikki schieler\"", "gold": "SELECT january FROM table_name_15 WHERE september = \"nikki schieler\"", "scores": {"exact_match": 1.0}}
{"id": 211, "instruction": "What is the highest round where a back named Ed Cody can be found?", "input": "CREATE TABLE table_name_53 (round INTEGER, position VARCHAR, player VARCHAR)", "prediction": "SELECT MAX(round) FROM table_name_53 WHERE position = \"back\" AND player = \"ed cody\"", "gold": "SELECT MAX(round) FROM table_name_53 WHERE position = \"back\" AND player = \"ed cody\"", "scores": {"exact_match": 1.0}}
{"id": 212, "instruction": "What type of game had a 0:0 result?", "input": "CREATE TABLE table_name_17 (type_of_game VARCHAR, results¹ VARCHAR)", "prediction": "SELECT type_of_game FROM table_name_17 WHERE results¹ = \"0:0\"", "gold": "SELECT type_of_game FROM table_name_17 WHERE results¹ = \"0:0\"", "scores": {"exact_match": 1.0}}
{"id": 213, "instruction": "How many Poles have a Class of 125cc, and a Team of matteoni racing team, and Points larger than 3?", "input": "CREATE TABLE table_name_39 (poles INTEGER, points VARCHAR, class VARCHAR, team VARCHAR)", "prediction": "SELECT SUM(poles) FROM table_name_39 WHERE class = \"125cc\" AND team = \"matteoni racing team\" AND points > 3", "gold": "SELECT SUM(poles) FROM table_name_39 WHERE class = \"125cc\" AND team = \"matteoni racing team\" AND points > 3", "scores": {"exact_match": 1.0}}
{"id": 214, "instruction": "Which opponent had a time of 0:29?", "input": "CREATE TABLE table_name_71 (opponent VARCHAR, time VARCHAR)", "prediction": "SELECT opponent FROM table_name_71 WHERE time = \"0:29\"", "gold": "SELECT opponent FROM table_name_71 WHERE time = \"0:29\"", "scores": {"exact_match": 1.0}}
{"id": 215, "instruction": "What is the Format of the Frequency CJBX-FM?", "input": "CREATE TABLE table_name_59 (format VARCHAR, call_sign VARCHAR)", "prediction": "SELECT format FROM table_name_59 WHERE call_sign = \"cjbx-fm\"", "gold": "SELECT format FROM table_name_59 WHERE call_sign = \"cjbx-fm\"", "scores": {"exact_match": 1.0}}
{"id": 216, "instruction": "What was the final rank of the Brewers in 1980?", "input": "CREATE TABLE table_name_63 (finish VARCHAR, team_season VARCHAR)", "prediction": "SELECT finish FROM table_name_63 WHERE team_season = \"milwaukee brewers 1980\"", "gold": "SELECT finish FROM table_name_63 WHERE team_season = \"1980\"", "scores": {"exact_match": 0.0}}
{"id": 217, "instruction": "Who was the home team in the game that led to a 2-3 series record?", "input": "CREATE TABLE table_name_10 (home VARCHAR, record VARCHAR)", "prediction": "SELECT home FROM table_name_10 WHERE record = \"2-3\"", "gold": "SELECT home FROM table_name_10 WHERE record = \"2-3\"", "scores": {"exact_match": 1.0}}
{"id": 218, "instruction": "Which routes have  \"replaced by US 81\" listed in their remarks section?", "input": "CREATE TABLE table_11336756_6 (route_name VARCHAR, remarks VARCHAR)", "prediction": "SELECT route_name FROM table_11336756_6 WHERE remarks = \"Replaced by US 81\"", "gold": "SELECT route_name FROM table_11336756_6 WHERE remarks = \"Replaced by US 81\"", "scores": {"exact_match": 1.0}}
{"id": 219, "instruction": "Name the highest total for the tournament more than 0 and regular season after 8", "input": "CREATE TABLE table_name_15 (total INTEGER, tournament VARCHAR, regular_season VARCHAR)", "prediction": "SELECT MAX(total) FROM table_name_15 WHERE tournament > 0 AND regular_season > 8", "gold": "SELECT MAX(total) FROM table_name_15 WHERE tournament > 0 AND regular_season > 8", "scores": {"exact_match": 1.0}}
{"id": 220, "instruction": "What time did Channel 4 air an episode number larger than 106 with the title of Marry Me A Little?", "input": "CREATE TABLE table_name_74 (time_of_airing_on_channel_4 VARCHAR, episode_number VARCHAR, title VARCHAR)", "prediction": "SELECT time_of_airing_on_channel_4 FROM table_name_74 WHERE episode_number > 106 AND title = \"marry me a little\"", "gold": "SELECT time_of_airing_on_channel_4 FROM table_name_74 WHERE episode_number > 106 AND title = \"marry me a little\"", "scores": {"exact_match": 1.0}}
{"id": 221, "instruction": "What are the results for the game with 82,113 attending?", "input": "CREATE TABLE table_name_41 (result VARCHAR, attendance VARCHAR)", "prediction": "SELECT result FROM table_name_41 WHERE attendance = \"82,113\"", "gold": "SELECT result FROM table_name_41 WHERE attendance = \"82,113\"", "scores": {"exact_match": 1.0}}
{"id": 222, "instruction": "What is the D 48 √ with a D 49 √ with r 9?", "input": "CREATE TABLE table_name_27 (d_48_√ VARCHAR, d_49_√ VARCHAR)", "prediction": "SELECT d_48_√ FROM table_name_27 WHERE d_49_√ = \"r 9\"", "gold": "SELECT d_48_√ FROM table_name_27 WHERE d_49_√ = \"r 9\"", "scores": {"exact_match": 1.0}}
{"id": 223, "instruction": "Who were the Opponents in the match on a Hard Surface with Catherine Suire as Partner and Outcome of runner-up?", "input": "CREATE TABLE table_name_6 (opponents VARCHAR, partner VARCHAR, outcome VARCHAR, surface VARCHAR)", "prediction": "SELECT opponents FROM table_name_6 WHERE outcome = \"runner-up\" AND surface = \"hard\" AND partner = \"catherine suire\"", "gold": "SELECT opponents FROM table_name_6 WHERE outcome = \"runner-up\" AND surface = \"hard\" AND partner = \"catherine suire\"", "scores": {"exact_match": 1.0}}
{"id": 224, "instruction": "What is the most recent year?", "input": "CREATE TABLE table_13169136_1 (year INTEGER)", "prediction": "SELECT MAX(year) FROM table_13169136_1", "gold": "SELECT MAX(year) FROM table_13169136_1", "scores": {"exact_match": 1.0}}
{"id": 225, "instruction": "How many final venues were there in the 1997-98 season?", "input": "CREATE TABLE table_19651669_1 (final_venue VARCHAR, season VARCHAR)", "prediction": "SELECT COUNT(final_venue) FROM table_19651669_1 WHERE season = \"1997-98\"", "gold": "SELECT COUNT(final_venue) FROM table_19651669_1 WHERE season = \"1997-98\"", "scores": {"exact_match": 1.0}}
{"id": 226, "instruction": "What is the number of jurisdiction for 57.3 percent?", "input": "CREATE TABLE table_120778_1 (jurisdiction VARCHAR, percent_for VARCHAR)", "prediction": "SELECT COUNT(jurisdiction) FROM table_120778_1 WHERE percent_for = \"57.3\"", "gold": "SELECT COUNT(jurisdiction) FROM table_120778_1 WHERE percent_for = \"57.3\"", "scores": {"exact_match": 1.0}}
{"id": 227, "instruction": "When the wins are less than 0 and the Top-5 1 what is the average cuts?", "input": "CREATE TABLE table_name_31 (cuts_made INTEGER, top_5 VARCHAR, wins VARCHAR)", "prediction": "SELECT AVG(cuts_made) FROM table_name_31 WHERE top_5 = 1 AND wins < 0", "gold": "SELECT AVG(cuts_made) FROM table_name_31 WHERE top_5 = 1 AND wins < 0", "scores": {"exact_match": 1.0}}
{"id": 228, "instruction": "What is the Home team score for the Venue named Glenferrie Oval?", "input": "CREATE TABLE table_name_31 (home_team VARCHAR, venue VARCHAR)", "prediction": "SELECT home_team AS score FROM table_name_31 WHERE venue = \"glenferrie oval\"", "gold": "SELECT home_team AS score FROM table_name_31 WHERE venue = \"glenferrie oval\"", "scores": {"exact_match": 1.0}}
{"id": 229, "instruction": "Regarding players before 2000, what is the USC player's position?", "input": "CREATE TABLE table_name_31 (position VARCHAR, year VARCHAR, college_country VARCHAR)", "prediction": "SELECT position FROM table_name_31 WHERE year < 2000 AND college_country = \"usc\"", "gold": "SELECT position FROM table_name_31 WHERE year < 2000 AND college_country = \"usc\"", "scores": {"exact_match": 1.0}}
{"id": 230, "instruction": "What cover has a published date of May 27, 2009 (hc) May 20, 2009 (tpb)?", "input": "CREATE TABLE table_name_12 (cover VARCHAR, published VARCHAR)", "prediction": "SELECT cover FROM table_name_12 WHERE published = \"may 27, 2009 (hc) may 20, 2009 (tpb)\"", "gold": "SELECT cover FROM table_name_12 WHERE published = \"may 27, 2009 (hc) may 20, 2009 (tpb)\"", "scores": {"exact_match": 1.0}}
{"id": 231, "instruction": "Name the to par for colin montgomerie", "input": "CREATE TABLE table_name_30 (to_par VARCHAR, player VARCHAR)", "prediction": "SELECT to_par FROM table_name_30 WHERE player = \"colin montgomerie\"", "gold": "SELECT to_par FROM table_name_30 WHERE player = \"colin montgomerie\"", "scores": {"exact_match": 1.0}}
{"id": 232, "instruction": "How many Goals against have Wins larger than 12, and a Club of ud las palmas, and a Position larger than 5?", "input": "CREATE TABLE table_name_48 (goals_against VARCHAR, position VARCHAR, wins VARCHAR, club VARCHAR)", "prediction": "SELECT COUNT(goals_against) FROM table_name_48 WHERE wins > 12 AND club = \"ud las palmas\" AND position > 5", "gold": "SELECT COUNT(goals_against) FROM table_name_48 WHERE wins > 12 AND club = \"ud las palmas\" AND position > 5", "scores": {"exact_match": 1.0}}
{"id": 233, "instruction": "How many years did the team place 2nd in Auckland, New Zealand?", "input": "CREATE TABLE table_name_30 (year VARCHAR, result VARCHAR, venue VARCHAR)", "prediction": "SELECT COUNT(year) FROM table_name_30 WHERE result = \"2nd\" AND venue = \"auckland, new zealand\"", "gold": "SELECT COUNT(year) FROM table_name_30 WHERE result = \"2nd\" AND venue = \"auckland, new zealand\"", "scores": {"exact_match": 1.0}}
{"id": 234, "instruction": "What is the lowest total that has 1977 as the year (s) won?", "input": "CREATE TABLE table_name_32 (total INTEGER, year_s__won VARCHAR)", "prediction": "SELECT MIN(total) FROM table_name_32 WHERE year_s__won = \"1977\"", "gold": "SELECT MIN(total) FROM table_name_32 WHERE year_s__won = \"1977\"", "scores": {"exact_match": 1.0}}
{"id": 235, "instruction": "What's listed for the Turnout % with a Ngilu of 3,429?", "input": "CREATE TABLE table_name_11 (turnout__percentage VARCHAR, ngilu VARCHAR)", "prediction": "SELECT turnout__percentage FROM table_name_11 WHERE ngilu = \"3,429\"", "gold": "SELECT turnout__percentage FROM table_name_11 WHERE ngilu = \"3,429\"", "scores": {"exact_match": 1.0}}
{"id": 236, "instruction": "What are the points for a chassis of march 811?", "input": "CREATE TABLE table_name_7 (pts INTEGER, chassis VARCHAR)", "prediction": "SELECT SUM(pts) FROM table_name_7 WHERE chassis = \"march 811\"", "gold": "SELECT SUM(pts) FROM table_name_7 WHERE chassis = \"march 811\"", "scores": {"exact_match": 1.0}}
{"id": 237, "instruction": "Which season has Losses of 30?", "input": "CREATE TABLE table_name_65 (season VARCHAR, losses VARCHAR)", "prediction": "SELECT season FROM table_name_65 WHERE losses = \"30\"", "gold": "SELECT season FROM table_name_65 WHERE losses = \"30\"", "scores": {"exact_match": 1.0}}
{"id": 238, "instruction": "Show all paragraph ids and texts for the document with name 'Welcome to NY'.", "input": "CREATE TABLE Documents (document_id VARCHAR, Document_Name VARCHAR); CREATE TABLE Paragraphs (paragraph_id VARCHAR, paragraph_text VARCHAR, document_id VARCHAR)", "prediction": "SELECT T1.document_id, T2.paragraph_text FROM Documents AS T1 JOIN Paragraphs AS T2 ON T1.document_id = T2.document_id WHERE T1.Document_Name = \"Welcome to NY\"", "gold": "SELECT T1.paragraph_id, T1.paragraph_text FROM Paragraphs AS T1 JOIN Documents AS T2 ON T1.document_id = T2.document_id WHERE T2.Document_Name = 'Welcome to NY'", "scores": {"exact_match": 0.0}}
{"id": 239, "instruction": "What was the score during week 16?", "input": "CREATE TABLE table_name_12 (result VARCHAR, week VARCHAR)", "prediction": "SELECT result FROM table_name_12 WHERE week = 16", "gold": "SELECT result FROM table_name_12 WHERE week = 16", "scores": {"exact_match": 1.0}}
{"id": 240, "instruction": "Find the name, city, country, and altitude (or elevation) of the airports in the city of New York.", "input": "CREATE TABLE airports (name VARCHAR, city VARCHAR, country VARCHAR, elevation VARCHAR)", "prediction": "SELECT name, city, country, elevation FROM airports WHERE city = \"New York\"", "gold": "SELECT name, city, country, elevation FROM airports WHERE city = 'New York'", "scores": {"exact_match": 0.0}}
{"id": 241, "instruction": "What was the parent magazine of the magazine that was first published on december 16, 2004?", "input": "CREATE TABLE table_name_88 (parent_magazine VARCHAR, first_published VARCHAR)", "prediction": "SELECT parent_magazine FROM table_name_88 WHERE first_published = \"december 16, 2004\"", "gold": "SELECT parent_magazine FROM table_name_88 WHERE first_published = \"december 16, 2004\"", "scores": {"exact_match": 1.0}}
{"id": 242, "instruction": "What is the average number of rooms of apartments with type code \"Studio\"?", "input": "CREATE TABLE Apartments (room_count INTEGER, apt_type_code VARCHAR)", "prediction": "SELECT AVG(room_count) FROM Apartments WHERE apt_type_code = \"Studio\"", "gold": "SELECT AVG(room_count) FROM Apartments WHERE apt_type_code = \"Studio\"", "scores": {"exact_match": 1.0}}
{"id": 243, "instruction": "Name the miles for june 7", "input": "CREATE TABLE table_16493961_1 (miles__km_ VARCHAR, date VARCHAR)", "prediction": "SELECT miles__km_ FROM table_16493961_1 WHERE date = \"June 7\"", "gold": "SELECT miles__km_ FROM table_16493961_1 WHERE date = \"June 7\"", "scores": {"exact_match": 1.0}}
{"id": 244, "instruction": "Kitchen knives is segment a of what episode?", "input": "CREATE TABLE table_15187735_5 (episode VARCHAR, segment_a VARCHAR)", "prediction": "SELECT episode FROM table_15187735_5 WHERE segment_a = \"Kitchen knives\"", "gold": "SELECT episode FROM table_15187735_5 WHERE segment_a = \"Kitchen Knives\"", "scores": {"exact_match": 0.0}}
{"id": 245, "instruction": "Find the average hours of all projects.", "input": "CREATE TABLE projects (hours INTEGER)", "prediction": "SELECT AVG(hours) FROM projects", "gold": "SELECT AVG(hours) FROM projects", "scores": {"exact_match": 1.0}}
{"id": 246, "instruction": "On which award show was Bad Girls nominated for Most Popular Drama in 2004?", "input": "CREATE TABLE table_name_66 (award_show VARCHAR, year VARCHAR, category VARCHAR)", "prediction": "SELECT award_show FROM table_name_66 WHERE year = 2004 AND category = \"most popular drama\"", "gold": "SELECT award_show FROM table_name_66 WHERE year = 2004 AND category = \"most popular drama\"", "scores": {"exact_match": 1.0}}
{"id": 247, "instruction": "Who had the high rebounds when the score was l 85–102 (ot)?", "input": "CREATE TABLE table_name_55 (high_rebounds VARCHAR, score VARCHAR)", "prediction": "SELECT high_rebounds FROM table_name_55 WHERE score = \"l 85–102 (ot)\"", "gold": "SELECT high_rebounds FROM table_name_55 WHERE score = \"l 85–102 (ot)\"", "scores": {"exact_match": 1.0}}
{"id": 248, "instruction": "Tell me the event for 6 bands", "input": "CREATE TABLE table_name_74 (event VARCHAR, acts VARCHAR)", "prediction": "SELECT event FROM table_name_74 WHERE acts = \"6 bands\"", "gold": "SELECT event FROM table_name_74 WHERE acts = \"6 bands\"", "scores": {"exact_match": 1.0}}
{"id": 249, "instruction": "What did Orebro score when Umea scored 2?", "input": "CREATE TABLE table_name_67 (örebro VARCHAR, umeå VARCHAR)", "prediction": "SELECT örebro FROM table_name_67 WHERE umeå = \"2\"", "gold": "SELECT örebro FROM table_name_67 WHERE umeå = \"2\"", "scores": {"exact_match": 1.0}}
{"id": 250, "instruction": "Find the total number of players.", "input": "CREATE TABLE players (Id VARCHAR)", "prediction": "SELECT COUNT(*) FROM players", "gold": "SELECT COUNT(*) FROM players", "scores": {"exact_match": 1.0}}
{"id": 251, "instruction": "What circuit has a race for the session, and open wheel as the discipline, and the 1977 Japanese Grand Prix as the event?", "input": "CREATE TABLE table_name_42 (circuit VARCHAR, event VARCHAR, session VARCHAR, discipline VARCHAR)", "prediction": "SELECT circuit FROM table_name_42 WHERE session = \"race\" AND discipline = \"open wheel\" AND event = \"1977 japanese grand prix\"", "gold": "SELECT circuit FROM table_name_42 WHERE session = \"race\" AND discipline = \"open wheel\" AND event = \"1977 japanese grand prix\"", "scores": {"exact_match": 1.0}}
{"id": 252, "instruction": "What is the average of the player with 124 yards and less than 13 rec.?", "input": "CREATE TABLE table_name_16 (avg INTEGER, yards VARCHAR, rec VARCHAR)", "prediction": "SELECT SUM(avg) FROM table_name_16 WHERE yards = 124 AND rec < 13", "gold": "SELECT AVG(avg) FROM table_name_16 WHERE yards = 124 AND rec < 13", "scores": {"exact_match": 0.0}}
{"id": 253, "instruction": "What player has 12 caps?", "input": "CREATE TABLE table_name_36 (player VARCHAR, caps VARCHAR)", "prediction": "SELECT player FROM table_name_36 WHERE caps = \"12\"", "gold": "SELECT player FROM table_name_36 WHERE caps = 12", "scores": {"exact_match": 0.0}}
{"id": 254, "instruction": "What is the Player that has a To standard of –4?", "input": "CREATE TABLE table_name_15 (player VARCHAR, to_par VARCHAR)", "prediction": "SELECT player FROM table_name_15 WHERE to_par = \"–4\"", "gold": "SELECT player FROM table_name_15 WHERE to_par = \"–4\"", "scores": {"exact_match": 1.0}}
{"id": 255, "instruction": "In what game was the attendance at the America West Arena 18,756?", "input": "CREATE TABLE table_29997127_4 (game INTEGER, location_attendance VARCHAR)", "prediction": "SELECT MAX(game) FROM table_29997127_4 WHERE location_attendance = \"America West Arena 18,756\"", "gold": "SELECT MAX(game) FROM table_29997127_4 WHERE location_attendance = \"America West Arena 18,756\"", "scores": {"exact_match": 1.0}}
{"id": 256, "instruction": "Which Frequency has an Owner of rogers communications rogers radio, and a Call sign of cikz-fm?", "input": "CREATE TABLE table_name_77 (frequency VARCHAR, owner VARCHAR, call_sign VARCHAR)", "prediction": "SELECT frequency FROM table_name_77 WHERE owner = \"rogers communications rogers radio\" AND call_sign = \"cikz-fm\"", "gold": "SELECT frequency FROM table_name_77 WHERE owner = \"rogers communications rogers radio\" AND call_sign = \"cikz-fm\"", "scores": {"exact_match": 1.0}}
{"id": 257, "instruction": "What RolePlay actor played the same role Alison Pargeter played in the original production?", "input": "CREATE TABLE table_17827271_1 (roleplay VARCHAR, actor_in_original_production VARCHAR)", "prediction": "SELECT roleplay FROM table_17827271_1 WHERE actor_in_original_production = \"Alison Pargeter\"", "gold": "SELECT roleplay FROM table_17827271_1 WHERE actor_in_original_production = \"Alison Pargeter\"", "scores": {"exact_match": 1.0}}
{"id": 258, "instruction": "Who did the play-by-play when the pregame host was Brian Williams and the sideline reporters were Steve Armitage and Brenda Irving?", "input": "CREATE TABLE table_17628022_2 (play_by_play VARCHAR, pregame_host VARCHAR, sideline_reporters VARCHAR)", "prediction": "SELECT play_by_play FROM table_17628022_2 WHERE pregame_host = \"Brian Williams\" AND sideline_reporters = \"Steve Armitage and Brenda Irving\"", "gold": "SELECT play_by_play FROM table_17628022_2 WHERE pregame_host = \"Brian Williams\" AND sideline_reporters = \"Steve Armitage and Brenda Irving\"", "scores": {"exact_match": 1.0}}
{"id": 259, "instruction": "What results has euro '84 qualifying as the type of game and norway as the opponent?", "input": "CREATE TABLE table_name_90 (results¹ VARCHAR, type_of_game VARCHAR, opponent VARCHAR)", "prediction": "SELECT results¹ FROM table_name_90 WHERE type_of_game = \"euro '84 qualifying\" AND opponent = \"norway\"", "gold": "SELECT results¹ FROM table_name_90 WHERE type_of_game = \"euro '84 qualifying\" AND opponent = \"norway\"", "scores": {"exact_match": 1.0}}
{"id": 260, "instruction": "What is the call sign of the station with the frequency of 90.3mhz", "input": "CREATE TABLE table_17487395_1 (callsign VARCHAR, frequency VARCHAR)", "prediction": "SELECT callsign FROM table_17487395_1 WHERE frequency = \"90.3MHz\"", "gold": "SELECT callsign FROM table_17487395_1 WHERE frequency = \"90.3MHz\"", "scores": {"exact_match": 1.0}}
{"id": 261, "instruction": "How many players have more than 1000 hours of training?", "input": "CREATE TABLE Player (HS INTEGER)", "prediction": "SELECT COUNT(*) FROM Player WHERE HS > 1000", "gold": "SELECT COUNT(*) FROM Player WHERE HS > 1000", "scores": {"exact_match": 1.0}}
{"id": 262, "instruction": "What is the engine(s) on the car before 1978 with ensign n177 chassis?", "input": "CREATE TABLE table_name_71 (engine_s_ VARCHAR, chassis VARCHAR, year VARCHAR)", "prediction": "SELECT engine_s_ FROM table_name_71 WHERE chassis = \"ensign n177\" AND year < 1978", "gold": "SELECT engine_s_ FROM table_name_71 WHERE chassis = \"ensign n177\" AND year < 1978", "scores": {"exact_match": 1.0}}
{"id": 263, "instruction": "How many players currently play for Barons Riga?", "input": "CREATE TABLE table_12962773_10 (position VARCHAR, current_club VARCHAR)", "prediction": "SELECT COUNT(position) FROM table_12962773_10 WHERE current_club = \"Barons Riga\"", "gold": "SELECT COUNT(position) FROM table_12962773_10 WHERE current_club = \"Barons Riga\"", "scores": {"exact_match": 1.0}}
{"id": 264, "instruction": "How many draws with 1 loss?", "input": "CREATE TABLE table_name_55 (draws INTEGER, losses VARCHAR)", "prediction": "SELECT SUM(draws) FROM table_name_55 WHERE losses = 1", "gold": "SELECT SUM(draws) FROM table_name_55 WHERE losses = 1", "scores": {"exact_match": 1.0}}
{"id": 265, "instruction": "What survey has the Ehsas Jdeed title?", "input": "CREATE TABLE table_name_57 (survey VARCHAR, title VARCHAR)", "prediction": "SELECT survey FROM table_name_57 WHERE title = \"ehsas jdeed\"", "gold": "SELECT survey FROM table_name_57 WHERE title = \"ehsas jdeed\"", "scores": {"exact_match": 1.0}}
{"id": 266, "instruction": "What are the opening year and staff number of the museum named Plaza Museum?", "input": "CREATE TABLE museum (Num_of_Staff VARCHAR, Open_Year VARCHAR, name VARCHAR)", "prediction": "SELECT Open_Year, Num_of_Staff FROM museum WHERE name = \"Plaza Museum\"", "gold": "SELECT Num_of_Staff, Open_Year FROM museum WHERE name = 'Plaza Museum'", "scores": {"exact_match": 0.0}}
{"id": 267, "instruction": "Who is the visitor on March 24?", "input": "CREATE TABLE table_name_62 (visitor VARCHAR, date VARCHAR)", "prediction": "SELECT visitor FROM table_name_62 WHERE date = \"march 24\"", "gold": "SELECT visitor FROM table_name_62 WHERE date = \"march 24\"", "scores": {"exact_match": 1.0}}
{"id": 268, "instruction": "List the ids, names and market shares of all browsers.", "input": "CREATE TABLE browser (id VARCHAR, name VARCHAR, market_share VARCHAR)", "prediction": "SELECT id, name, market_share FROM browser", "gold": "SELECT id, name, market_share FROM browser", "scores": {"exact_match": 1.0}}
{"id": 269, "instruction": "If the poverty rate is 12.9%, what is the county?", "input": "CREATE TABLE table_22815568_6 (county VARCHAR, poverty_rate VARCHAR)", "prediction": "SELECT county FROM table_22815568_6 WHERE poverty_rate = \"12.9%\"", "gold": "SELECT county FROM table_22815568_6 WHERE poverty_rate = \"12.9%\"", "scores": {"exact_match": 1.0}}
{"id": 270, "instruction": "How many games has each stadium held?", "input": "CREATE TABLE stadium (id VARCHAR); CREATE TABLE game (stadium_id VARCHAR)", "prediction": "SELECT T1.id, COUNT(*) FROM stadium AS T1 JOIN game AS T2 ON T1.id = T2.stadium_id GROUP BY T1.id", "gold": "SELECT T1.id, COUNT(*) FROM stadium AS T1 JOIN game AS T2 ON T1.id = T2.stadium_id GROUP BY T1.id", "scores": {"exact_match": 1.0}}
{"id": 271, "instruction": "Which City has a Club of suntracs f.c.?", "input": "CREATE TABLE table_name_38 (city VARCHAR, club VARCHAR)", "prediction": "SELECT city FROM table_name_38 WHERE club = \"suntracs f.c.\"", "gold": "SELECT city FROM table_name_38 WHERE club = \"suntracs f.c.\"", "scores": {"exact_match": 1.0}}
{"id": 272, "instruction": "what is the date for the week larger than 1 and the opponent detroit lions?", "input": "CREATE TABLE table_name_23 (date VARCHAR, week VARCHAR, opponent VARCHAR)", "prediction": "SELECT date FROM table_name_23 WHERE week > 1 AND opponent = \"detroit lions\"", "gold": "SELECT date FROM table_name_23 WHERE week > 1 AND opponent = \"detroit lions\"", "scores": {"exact_match": 1.0}}
{"id": 273, "instruction": "What is the average Draws, when Goal Difference is greater than -3, when Goals Against is 30, and when Points is greater than 45?", "input": "CREATE TABLE table_name_97 (draws INTEGER, points VARCHAR, goal_difference VARCHAR, goals_against VARCHAR)", "prediction": "SELECT AVG(draws) FROM table_name_97 WHERE goal_difference > -3 AND goals_against = 30 AND points > 45", "gold": "SELECT AVG(draws) FROM table_name_97 WHERE goal_difference > -3 AND goals_against = 30 AND points > 45", "scores": {"exact_match": 1.0}}
{"id": 274, "instruction": "What college did the T who was pick after 13 go to?", "input": "CREATE TABLE t (Id VARCHAR)", "prediction": "SELECT College FROM player_stats WHERE Pick > 13 AND Id = (SELECT Id FROM t)", "gold": "SELECT college FROM \"t\" AS able_name_20 WHERE pick__number > 13 AND position = \"t\"", "scores": {"exact_match": 0.0}}
{"id": 275, "instruction": "Find the name and gender of the staff who has been assigned the job of Sales Person but never Clerical Staff.", "input": "CREATE TABLE staff (staff_name VARCHAR, staff_gender VARCHAR, staff_id VARCHAR); CREATE TABLE Staff_Department_Assignments (staff_id VARCHAR, job_title_code VARCHAR)", "prediction": "SELECT T1.staff_name, T1.staff_gender FROM staff AS T1 JOIN Staff_Department_Assignments AS T2 ON T1.staff_id = T2.staff_id WHERE T2.job_title_code = 'Sales Person' EXCEPT SELECT T1.staff_name, T1.staff_gender FROM staff AS T1 JOIN Staff_Department_Assignments AS T2 ON T1.staff_id = T2.staff_id WHERE T2.job_title_code = 'Clerical Staff'", "gold": "SELECT T1.staff_name, T1.staff_gender FROM staff AS T1 JOIN Staff_Department_Assignments AS T2 ON T1.staff_id = T2.staff_id WHERE T2.job_title_code = \"Sales Person\" EXCEPT SELECT T1.staff_name, T1.staff_gender FROM staff AS T1 JOIN Staff_Department_Assignments AS T2 ON T1.staff_id = T2.staff_id WHERE T2.job_title_code = \"Clerical Staff\"", "scores": {"exact_match": 0.0}}
{"id": 276, "instruction": "Which opponent has 63 points?", "input": "CREATE TABLE table_name_98 (opponent VARCHAR, points VARCHAR)", "prediction": "SELECT opponent FROM table_name_98 WHERE points = 63", "gold": "SELECT opponent FROM table_name_98 WHERE points = 63", "scores": {"exact_match": 1.0}}
{"id": 277, "instruction": "Which To par is the highest one that has a Total smaller than 148?", "input": "CREATE TABLE table_name_89 (to_par INTEGER, total INTEGER)", "prediction": "SELECT MAX(to_par) FROM table_name_89 WHERE total < 148", "gold": "SELECT MAX(to_par) FROM table_name_89 WHERE total < 148", "scores": {"exact_match": 1.0}}
{"id": 278, "instruction": "On what Date is the Minnesota Vikings the Opponent?", "input": "CREATE TABLE table_name_71 (date VARCHAR, opponent VARCHAR)", "prediction": "SELECT date FROM table_name_71 WHERE opponent = \"minnesota vikings\"", "gold": "SELECT date FROM table_name_71 WHERE opponent = \"minnesota vikings\"", "scores": {"exact_match": 1.0}}
{"id": 279, "instruction": "Which Decision has a Visitor of vancouver, and a Score of 5 – 4?", "input": "CREATE TABLE table_name_4 (decision VARCHAR, visitor VARCHAR, score VARCHAR)", "prediction": "SELECT decision FROM table_name_4 WHERE visitor = \"vancouver\" AND score = \"5 – 4\"", "gold": "SELECT decision FROM table_name_4 WHERE visitor = \"vancouver\" AND score = \"5 – 4\"", "scores": {"exact_match": 1.0}}
{"id": 280, "instruction": "Name the most attendance for october 11", "input": "CREATE TABLE table_name_75 (attendance INTEGER, date VARCHAR)", "prediction": "SELECT MAX(attendance) FROM table_name_75 WHERE date = \"october 11\"", "gold": "SELECT MAX(attendance) FROM table_name_75 WHERE date = \"october 11\"", "scores": {"exact_match": 1.0}}
{"id": 281, "instruction": "What date had a game with wycombe wanderers as the away team?", "input": "CREATE TABLE table_name_28 (date VARCHAR, away_team VARCHAR)", "prediction": "SELECT date FROM table_name_28 WHERE away_team = \"wycombe wanderers\"", "gold": "SELECT date FROM table_name_28 WHERE away_team = \"wycombe wanderers\"", "scores": {"exact_match": 1.0}}
{"id": 282, "instruction": "Who was the Finalist on a Hard Surface with Winner Serena Williams 6–1, 6–7(7), 6–3?", "input": "CREATE TABLE table_name_34 (finalists VARCHAR, surface VARCHAR, winners VARCHAR)", "prediction": "SELECT finalists FROM table_name_34 WHERE surface = \"hard\" AND winners = \"serena williams 6–1, 6–7(7), 6–3\"", "gold": "SELECT finalists FROM table_name_34 WHERE surface = \"hard\" AND winners = \"serena williams 6–1, 6–7(7), 6–3\"", "scores": {"exact_match": 1.0}}
{"id": 283, "instruction": "What is the score in 1929?", "input": "CREATE TABLE table_name_46 (score VARCHAR, year VARCHAR)", "prediction": "SELECT score FROM table_name_46 WHERE year = 1929", "gold": "SELECT score FROM table_name_46 WHERE year = \"1929\"", "scores": {"exact_match": 0.0}}
{"id": 284, "instruction": "Where will the game at (ET) of 7:00 pm be at?", "input": "CREATE TABLE table_name_2 (game_site VARCHAR, time___et__ VARCHAR)", "prediction": "SELECT game_site FROM table_name_2 WHERE time___et__ = \"7:00 pm\"", "gold": "SELECT game_site FROM table_name_2 WHERE time___et__ = \"7:00 pm\"", "scores": {"exact_match": 1.0}}
{"id": 285, "instruction": "Name the mixed doubles for zhu lin", "input": "CREATE TABLE table_14496232_2 (mixed_doubles VARCHAR, womens_singles VARCHAR)", "prediction": "SELECT mixed_doubles FROM table_14496232_2 WHERE womens_singles = \"Zhu Lin\"", "gold": "SELECT mixed_doubles FROM table_14496232_2 WHERE womens_singles = \"Zhu Lin\"", "scores": {"exact_match": 1.0}}
{"id": 286, "instruction": "What's the pick number of the player from Springfield Olympics (Nejhl)?", "input": "CREATE TABLE table_1013129_3 (pick VARCHAR, college_junior_club_team VARCHAR)", "prediction": "SELECT pick FROM table_1013129_3 WHERE college_junior_club_team = \"Springfield Olympics (NEJHL)\"", "gold": "SELECT pick FROM table_1013129_3 WHERE college_junior_club_team = \"Springfield Olympics (NEJHL)\"", "scores": {"exact_match": 1.0}}
{"id": 287, "instruction": "What's the average of the amount of laps for the driver patrick tambay?", "input": "CREATE TABLE table_name_64 (laps INTEGER, driver VARCHAR)", "prediction": "SELECT AVG(laps) FROM table_name_64 WHERE driver = \"patrick tambay\"", "gold": "SELECT AVG(laps) FROM table_name_64 WHERE driver = \"patrick tambay\"", "scores": {"exact_match": 1.0}}
{"id": 288, "instruction": "In which location is aci vallelunga circuit?", "input": "CREATE TABLE table_23315271_2 (location VARCHAR, circuit VARCHAR)", "prediction": "SELECT location FROM table_23315271_2 WHERE circuit = \"ACI Vallelunga\"", "gold": "SELECT location FROM table_23315271_2 WHERE circuit = \"ACI Vallelunga circuit\"", "scores": {"exact_match": 0.0}}
{"id": 289, "instruction": "what is the #/county that is ihsaa class aaa, has enrollment higher than 611 and the dragons is the mascot?", "input": "CREATE TABLE table_name_13 (_number___county VARCHAR, mascot VARCHAR, ihsaa_class VARCHAR, enrollment VARCHAR)", "prediction": "SELECT _number___county FROM table_name_13 WHERE ihsaa_class = \"aaa\" AND enrollment > 611 AND mascot = \"dragons\"", "gold": "SELECT _number___county FROM table_name_13 WHERE ihsaa_class = \"aaa\" AND enrollment > 611 AND mascot = \"dragons\"", "scores": {"exact_match": 1.0}}
{"id": 290, "instruction": "What was the home team score when Brisbane lions was the home team?", "input": "CREATE TABLE table_16388398_1 (home_team VARCHAR)", "prediction": "SELECT home_team AS score FROM table_16388398_1 WHERE home_team = \"Brisbane Lions\"", "gold": "SELECT home_team AS score FROM table_16388398_1 WHERE home_team = \"Brisbane Lions\"", "scores": {"exact_match": 1.0}}
{"id": 291, "instruction": "What is the Retail name with an Available interface with pci express 2.0?", "input": "CREATE TABLE table_name_24 (retail_name VARCHAR, available_interface VARCHAR)", "prediction": "SELECT retail_name FROM table_name_24 WHERE available_interface = \"pci express 2.0\"", "gold": "SELECT retail_name FROM table_name_24 WHERE available_interface = \"pci express 2.0\"", "scores": {"exact_match": 1.0}}
{"id": 292, "instruction": "What school has more than 533 enrolled and is an IHSAA Football Class of aa?", "input": "CREATE TABLE table_name_27 (school VARCHAR, enrollment VARCHAR, ihsaa_football_class VARCHAR)", "prediction": "SELECT school FROM table_name_27 WHERE enrollment > 533 AND ihsaa_football_class = \"aa\"", "gold": "SELECT school FROM table_name_27 WHERE enrollment > 533 AND ihsaa_football_class = \"aa\"", "scores": {"exact_match": 1.0}}
{"id": 293, "instruction": "how many times is there more than 0 draws and more than 0 losses?", "input": "CREATE TABLE table_name_5 (played VARCHAR, drawn VARCHAR, lost VARCHAR)", "prediction": "SELECT COUNT(played) FROM table_name_5 WHERE drawn > 0 AND lost > 0", "gold": "SELECT COUNT(played) FROM table_name_5 WHERE drawn > 0 AND lost > 0", "scores": {"exact_match": 1.0}}
{"id": 294, "instruction": "What is the average pick of San Diego State?", "input": "CREATE TABLE table_name_63 (pick INTEGER, college VARCHAR)", "prediction": "SELECT AVG(pick) FROM table_name_63 WHERE college = \"san diego state\"", "gold": "SELECT AVG(pick) FROM table_name_63 WHERE college = \"san diego state\"", "scores": {"exact_match": 1.0}}
{"id": 295, "instruction": "Who is the club that has 30 points?", "input": "CREATE TABLE table_13564637_5 (club VARCHAR, points VARCHAR)", "prediction": "SELECT club FROM table_13564637_5 WHERE points = 30", "gold": "SELECT club FROM table_13564637_5 WHERE points = \"30\"", "scores": {"exact_match": 0.0}}
{"id": 296, "instruction": "Show the unique first names, last names, and phone numbers for all customers with any account.", "input": "CREATE TABLE Accounts (customer_id VARCHAR); CREATE TABLE Customers (customer_first_name VARCHAR, customer_last_name VARCHAR, phone_number VARCHAR, customer_id VARCHAR)", "prediction": "SELECT DISTINCT T1.customer_first_name, T1.customer_last_name, T1.phone_number FROM Customers AS T1 JOIN Accounts AS T2 ON T1.customer_id = T2.customer_id", "gold": "SELECT DISTINCT T1.customer_first_name, T1.customer_last_name, T1.phone_number FROM Customers AS T1 JOIN Accounts AS T2 ON T1.customer_id = T2.customer_id", "scores": {"exact_match": 1.0}}
{"id": 297, "instruction": "WHAT IS THE LOWEST $50-1/2 OZ COIN WITH A 1997 YEAR AND $25-1/4 OZ LARGER THAN $27,100?", "input": "CREATE TABLE table_name_59 (MIN VARCHAR, year VARCHAR, $25___1_4_oz VARCHAR)", "prediction": "SELECT MIN($50___1_2_oz) AS coin FROM table_name_59 WHERE $25___1_4_oz > 27 OFFSET 100 AND year = 1997", "gold": "SELECT MIN AS $50___1_2_oz FROM table_name_59 WHERE year = 1997 AND $25___1_4_oz > 27 OFFSET 100", "scores": {"exact_match": 0.0}}
{"id": 298, "instruction": "Name the least clock rate mhz", "input": "CREATE TABLE table_142573_1 (clock_rate__mhz_ INTEGER)", "prediction": "SELECT MIN(clock_rate__mhz_) FROM table_142573_1", "gold": "SELECT MIN(clock_rate__mhz_) FROM table_142573_1", "scores": {"exact_match": 1.0}}
{"id": 299, "instruction": "Can you tell me the Position that has the CFL Team of toronto?", "input": "CREATE TABLE table_name_31 (position VARCHAR, cfl_team VARCHAR)", "prediction": "SELECT position FROM table_name_31 WHERE cfl_team = \"toronto\"", "gold": "SELECT position FROM table_name_31 WHERE cfl_team = \"toronto\"", "scores": {"exact_match": 1.0}}
{"id": 300, "instruction": "What even was Jerry Lynn the inductee?", "input": "CREATE TABLE table_name_16 (event VARCHAR, inductee_s_ VARCHAR)", "prediction": "SELECT event FROM table_name_16 WHERE inductee_s_ = \"jerry lynn\"", "gold": "SELECT event FROM table_name_16 WHERE inductee_s_ = \"jerry lynn\"", "scores": {"exact_match": 1.0}}
{"id": 301, "instruction": "What date was the opponent the Portland Trail Blazers?", "input": "CREATE TABLE table_name_67 (date VARCHAR, opponent VARCHAR)", "prediction": "SELECT date FROM table_name_67 WHERE opponent = \"portland trail blazers\"", "gold": "SELECT date FROM table_name_67 WHERE opponent = \"portland trail blazers\"", "scores": {"exact_match": 1.0}}
{"id": 302, "instruction": "What is the Rank of the game with an Attendance of 93,039?", "input": "CREATE TABLE table_name_98 (rank VARCHAR, attendance VARCHAR)", "prediction": "SELECT rank FROM table_name_98 WHERE attendance = \"93,039\"", "gold": "SELECT COUNT(rank) FROM table_name_98 WHERE attendance = 93 OFFSET 039", "scores": {"exact_match": 0.0}}
{"id": 303, "instruction": "Craig Parry with a score of 68-68=136 is in what place?", "input": "CREATE TABLE table_name_83 (place VARCHAR, player VARCHAR, score VARCHAR)", "prediction": "SELECT place FROM table_name_83 WHERE player = \"craig parry\" AND score = 68 - 68 = 136", "gold": "SELECT place FROM table_name_83 WHERE score = 68 - 68 = 136 AND player = \"craig parry\"", "scores": {"exact_match": 0.0}}
{"id": 304, "instruction": "What is the highest NGC number that has a Declination ( J2000 ) of °04′58″ and a Apparent magnitude larger than 7.3?", "input": "CREATE TABLE table_name_5 (ngc_number INTEGER, declination___j2000__ VARCHAR, apparent_magnitude VARCHAR)", "prediction": "SELECT MAX(ngc_number) FROM table_name_5 WHERE declination___j2000__ = \"°04′58″\" AND apparent_magnitude > 7.3", "gold": "SELECT MAX(ngc_number) FROM table_name_5 WHERE declination___j2000__ = \"°04′58″\" AND apparent_magnitude > 7.3", "scores": {"exact_match": 1.0}}
{"id": 305, "instruction": "Which is the highest silver that has a gold less than 0?", "input": "CREATE TABLE table_name_40 (silver INTEGER, gold INTEGER)", "prediction": "SELECT MAX(silver) FROM table_name_40 WHERE gold < 0", "gold": "SELECT MAX(silver) FROM table_name_40 WHERE gold < 0", "scores": {"exact_match": 1.0}}
{"id": 306, "instruction": "What is the average rating of viewers 18 to 49 where the total viewer count is 3.93 million and share less than 4?", "input": "CREATE TABLE table_name_96 (viewers__m_ VARCHAR, share VARCHAR)", "prediction": "SELECT AVG(18_to_49) FROM table_name_96 WHERE viewers__m_ = \"3.93 million\" AND share < 4", "gold": "SELECT AVG(18 AS _49) FROM table_name_96 WHERE viewers__m_ = 3.93 AND share < 4", "scores": {"exact_match": 0.0}}
{"id": 307, "instruction": "On the series in which Emma Willis Jamie East presented on Friday, who was the presenter on Sunday?", "input": "CREATE TABLE table_name_79 (sunday VARCHAR, friday VARCHAR)", "prediction": "SELECT sunday FROM table_name_79 WHERE friday = \"emma willis jamie east\"", "gold": "SELECT sunday FROM table_name_79 WHERE friday = \"emma willis jamie east\"", "scores": {"exact_match": 1.0}}
{"id": 308, "instruction": "What are the number of losses that have Ties of 1 and 3 or more poll wins?", "input": "CREATE TABLE table_name_49 (losses VARCHAR, ties VARCHAR, poll_wins VARCHAR)", "prediction": "SELECT COUNT(losses) FROM table_name_49 WHERE ties = \"1\" AND poll_wins >= 3", "gold": "SELECT COUNT(losses) FROM table_name_49 WHERE ties = 1 AND poll_wins > 3", "scores": {"exact_match": 0.0}}
{"id": 309, "instruction": "Which Latitude has a Year named smaller than 1997, and a Name of aino planitia?", "input": "CREATE TABLE table_name_79 (latitude VARCHAR, year_named VARCHAR, name VARCHAR)", "prediction": "SELECT latitude FROM table_name_79 WHERE year_named < 1997 AND name = \"aino planitia\"", "gold": "SELECT latitude FROM table_name_79 WHERE year_named < 1997 AND name = \"aino planitia\"", "scores": {"exact_match": 1.0}}
{"id": 310, "instruction": "What is the average total medals of the team with 2 gold and less than 1 silver?", "input": "CREATE TABLE table_name_93 (total INTEGER, gold VARCHAR, silver VARCHAR)", "prediction": "SELECT AVG(total) FROM table_name_93 WHERE gold = 2 AND silver < 1", "gold": "SELECT AVG(total) FROM table_name_93 WHERE gold = 2 AND silver < 1", "scores": {"exact_match": 1.0}}
{"id": 311, "instruction": "Who was the winning driver for the Dutch Grand Prix?", "input": "CREATE TABLE table_name_25 (winning_driver VARCHAR, race VARCHAR)", "prediction": "SELECT winning_driver FROM table_name_25 WHERE race = \"dutch grand prix\"", "gold": "SELECT winning_driver FROM table_name_25 WHERE race = \"dutch grand prix\"", "scores": {"exact_match": 1.0}}
{"id": 312, "instruction": "With a greater than 4 rank, and the silver medal greater than 0, and the bronze medal less than 1, what is the average total?", "input": "CREATE TABLE table_name_23 (total INTEGER, bronze VARCHAR, rank VARCHAR, silver VARCHAR)", "prediction": "SELECT AVG(total) FROM table_name_23 WHERE rank > 4 AND silver > 0 AND bronze < 1", "gold": "SELECT AVG(total) FROM table_name_23 WHERE rank > 4 AND silver > 0 AND bronze < 1", "scores": {"exact_match": 1.0}}
{"id": 313, "instruction": "What is the mean vertical relief in feet when the Peak Name is Tower near mead wood road entrance and the elevation in feet is more than 1,410?", "input": "CREATE TABLE table_name_87 (vertical_relief__ft_ INTEGER, peak_name VARCHAR, elevation__ft_ VARCHAR)", "prediction": "SELECT AVG(vertical_relief__ft_) FROM table_name_87 WHERE peak_name = \"tower near mead wood road entrance\" AND elevation__ft_ > 1 OFFSET 410", "gold": "SELECT AVG(vertical_relief__ft_) FROM table_name_87 WHERE peak_name = \"tower near mead wood road entrance\" AND elevation__ft_ > 1 OFFSET 410", "scores": {"exact_match": 1.0}}
{"id": 314, "instruction": "What name is associated with a rank of less than 24, and an altitude (meters) of 3085?", "input": "CREATE TABLE table_name_41 (name VARCHAR, rank VARCHAR, altitude__meters_ VARCHAR)", "prediction": "SELECT name FROM table_name_41 WHERE rank < 24 AND altitude__meters_ = 3085", "gold": "SELECT name FROM table_name_41 WHERE rank < 24 AND altitude__meters_ = 3085", "scores": {"exact_match": 1.0}}
{"id": 315, "instruction": "What is Date, when Away Team is \"Gillingham\"?", "input": "CREATE TABLE table_name_2 (date VARCHAR, away_team VARCHAR)", "prediction": "SELECT date FROM table_name_2 WHERE away_team = \"gillingham\"", "gold": "SELECT date FROM table_name_2 WHERE away_team = \"gillingham\"", "scores": {"exact_match": 1.0}}
{"id": 316, "instruction": "What is the total number of Gold, when Silver is 2, and when Total is less than 7?", "input": "CREATE TABLE table_name_34 (gold VARCHAR, silver VARCHAR, total VARCHAR)", "prediction": "SELECT COUNT(gold) FROM table_name_34 WHERE silver = 2 AND total < 7", "gold": "SELECT COUNT(gold) FROM table_name_34 WHERE silver = 2 AND total < 7", "scores": {"exact_match": 1.0}}
{"id": 317, "instruction": "Who creates the catalog with the number \"cal03 / 0091037137333\"?", "input": "CREATE TABLE table_11222744_3 (studio VARCHAR, catalog_number VARCHAR)", "prediction": "SELECT studio FROM table_11222744_3 WHERE catalog_number = \"CAL03 / 0091037137333\"", "gold": "SELECT studio FROM table_11222744_3 WHERE catalog_number = \"CAL03 / 0091037137333\"", "scores": {"exact_match": 1.0}}
{"id": 318, "instruction": "What Location has a Partner of app, a Population Served larger than 2000, and a Design flow (LPM) of 375?", "input": "CREATE TABLE table_name_31 (location VARCHAR, design_flow__lpm_ VARCHAR, partner VARCHAR, population_served VARCHAR)", "prediction": "SELECT location FROM table_name_31 WHERE partner = \"app\" AND population_served > 2000 AND design_flow__lpm_ = 375", "gold": "SELECT location FROM table_name_31 WHERE partner = \"app\" AND population_served > 2000 AND design_flow__lpm_ = 375", "scores": {"exact_match": 1.0}}
{"id": 319, "instruction": "What's the total number of points scored during the 1951 NSWRFL Grand Final?", "input": "CREATE TABLE table_name_3 (points VARCHAR, details VARCHAR)", "prediction": "SELECT COUNT(points) FROM table_name_3 WHERE details = \"1951 nswrfl grand final\"", "gold": "SELECT COUNT(points) FROM table_name_3 WHERE details = \"1951 nswrfl grand final\"", "scores": {"exact_match": 1.0}}
{"id": 320, "instruction": "What is the total position with a drawn of 0 and greater than 22 points and a greater than 14 played?", "input": "CREATE TABLE table_name_17 (position VARCHAR, played VARCHAR, drawn VARCHAR, points VARCHAR)", "prediction": "SELECT COUNT(position) FROM table_name_17 WHERE drawn = 0 AND points > 22 AND played > 14", "gold": "SELECT COUNT(position) FROM table_name_17 WHERE drawn = 0 AND points > 22 AND played > 14", "scores": {"exact_match": 1.0}}
{"id": 321, "instruction": "What is the fleet number of the locomotive with 1 quantity made?", "input": "CREATE TABLE table_name_59 (fleet_number_s_ VARCHAR, quantity_made VARCHAR)", "prediction": "SELECT fleet_number_s_ FROM table_name_59 WHERE quantity_made = 1", "gold": "SELECT fleet_number_s_ FROM table_name_59 WHERE quantity_made = \"1\"", "scores": {"exact_match": 0.0}}
{"id": 322, "instruction": "What frequency does model L34xx use?", "input": "CREATE TABLE table_24018112_1 (frequency VARCHAR, model__list_ VARCHAR)", "prediction": "SELECT frequency FROM table_24018112_1 WHERE model__list_ = \"L34xx\"", "gold": "SELECT frequency FROM table_24018112_1 WHERE model__list_ = \"L34xx\"", "scores": {"exact_match": 1.0}}
{"id": 323, "instruction": "What engine has a start less than 7, and 23 as a finish?", "input": "CREATE TABLE table_name_19 (engine VARCHAR, start VARCHAR, finish VARCHAR)", "prediction": "SELECT engine FROM table_name_19 WHERE start < 7 AND finish = 23", "gold": "SELECT engine FROM table_name_19 WHERE start < 7 AND finish = 23", "scores": {"exact_match": 1.0}}
{"id": 324, "instruction": "What's the nationality of Livio Berruti?", "input": "CREATE TABLE table_name_53 (nationality VARCHAR, athlete VARCHAR)", "prediction": "SELECT nationality FROM table_name_53 WHERE athlete = \"livio berruti\"", "gold": "SELECT nationality FROM table_name_53 WHERE athlete = \"livio berruti\"", "scores": {"exact_match": 1.0}}
{"id": 325, "instruction": "What is the Score of the Pittsburgh Home game on March 3 with 61 Points?", "input": "CREATE TABLE table_name_18 (score VARCHAR, date VARCHAR, home VARCHAR, points VARCHAR)", "prediction": "SELECT score FROM table_name_18 WHERE home = \"pittsburgh\" AND points = 61 AND date = \"march 3\"", "gold": "SELECT score FROM table_name_18 WHERE home = \"pittsburgh\" AND points = 61 AND date = \"march 3\"", "scores": {"exact_match": 1.0}}
{"id": 326, "instruction": "Which division is the Derbyshire Falcons in?", "input": "CREATE TABLE table_name_68 (division VARCHAR, team VARCHAR)", "prediction": "SELECT division FROM table_name_68 WHERE team = \"derbyshire falcons\"", "gold": "SELECT division FROM table_name_68 WHERE team = \"derbyshire falcons\"", "scores": {"exact_match": 1.0}}
{"id": 327, "instruction": "What's the sales breakdown for Nintendo's Mario Kart DS?", "input": "CREATE TABLE table_21458142_1 (sales_breakdown VARCHAR, publisher VARCHAR, title VARCHAR)", "prediction": "SELECT sales_breakdown FROM table_21458142_1 WHERE publisher = \"Nintendo\" AND title = \"Mario Kart DS\"", "gold": "SELECT sales_breakdown FROM table_21458142_1 WHERE publisher = \"Nintendo\" AND title = \"Mario Kart DS\"", "scores": {"exact_match": 1.0}}
{"id": 328, "instruction": "Which album has a label and cat# full moon/warner 28628?", "input": "CREATE TABLE table_name_68 (album VARCHAR, label_and_cat_number VARCHAR)", "prediction": "SELECT album FROM table_name_68 WHERE label_and_cat_number = \"full moon/warner 28628\"", "gold": "SELECT album FROM table_name_68 WHERE label_and_cat_number = \"full moon/warner 28628\"", "scores": {"exact_match": 1.0}}
{"id": 329, "instruction": "What the highest Year with a Remixed by Laurent Boutonnat?", "input": "CREATE TABLE table_name_38 (year INTEGER, remixed_by VARCHAR)", "prediction": "SELECT MAX(year) FROM table_name_38 WHERE remixed_by = \"laurent boutonnat\"", "gold": "SELECT MAX(year) FROM table_name_38 WHERE remixed_by = \"laurent boutonnat\"", "scores": {"exact_match": 1.0}}
{"id": 330, "instruction": "What is the Team when the match was in buenos aires , argentina?", "input": "CREATE TABLE table_name_60 (team VARCHAR, location VARCHAR)", "prediction": "SELECT team FROM table_name_60 WHERE location = \"buenos aires , argentina\"", "gold": "SELECT team FROM table_name_60 WHERE location = \"buenos aires , argentina\"", "scores": {"exact_match": 1.0}}
{"id": 331, "instruction": "Which week is the theme First Solo", "input": "CREATE TABLE table_21501518_1 (week__number VARCHAR, theme VARCHAR)", "prediction": "SELECT week__number FROM table_21501518_1 WHERE theme = \"First Solo\"", "gold": "SELECT week__number FROM table_21501518_1 WHERE theme = \"First Solo\"", "scores": {"exact_match": 1.0}}
{"id": 332, "instruction": "What is the name of the event that had a prize of zł 1,226,711?", "input": "CREATE TABLE table_name_22 (event VARCHAR, prize VARCHAR)", "prediction": "SELECT event FROM table_name_22 WHERE prize = \" zł 1,226,711\"", "gold": "SELECT event FROM table_name_22 WHERE prize = \"zł 1,226,711\"", "scores": {"exact_match": 0.0}}
{"id": 333, "instruction": "Tell me the loewst assume office for madeleine bordallo", "input": "CREATE TABLE table_name_60 (assumed_office INTEGER, name VARCHAR)", "prediction": "SELECT MIN(assumed_office) FROM table_name_60 WHERE name = \"madeleine bordallo\"", "gold": "SELECT MIN(assumed_office) FROM table_name_60 WHERE name = \"madeleine bordallo\"", "scores": {"exact_match": 1.0}}
{"id": 334, "instruction": "How many car models are produced in the usa?", "input": "CREATE TABLE CAR_MAKERS (Id VARCHAR, Country VARCHAR); CREATE TABLE COUNTRIES (CountryId VARCHAR, CountryName VARCHAR); CREATE TABLE MODEL_LIST (Maker VARCHAR)", "prediction": "SELECT COUNT(T1.Id) FROM CAR_MAKERS AS T1 JOIN COUNTRIES AS T2 ON T1.Country = T2.CountryId JOIN MODEL_LIST AS T3 ON T1.Id = T3.Maker WHERE T2.CountryName = \"usa\"", "gold": "SELECT COUNT(*) FROM MODEL_LIST AS T1 JOIN CAR_MAKERS AS T2 ON T1.Maker = T2.Id JOIN COUNTRIES AS T3 ON T2.Country = T3.CountryId WHERE T3.CountryName = 'usa'", "scores": {"exact_match": 0.0}}
{"id": 335, "instruction": "What 2011 has 12.7% as the 2010?", "input": "CREATE TABLE table_name_33 (Id VARCHAR)", "prediction": "SELECT 2011 FROM table_name_33 WHERE 2010 = \"12.7%\"", "gold": "SELECT 2011 FROM table_name_33 WHERE 2010 = \"12.7%\"", "scores": {"exact_match": 1.0}}
{"id": 336, "instruction": "Name the high points for record 9-4", "input": "CREATE TABLE table_22654073_6 (high_points VARCHAR, record VARCHAR)", "prediction": "SELECT high_points FROM table_22654073_6 WHERE record = \"9-4\"", "gold": "SELECT high_points FROM table_22654073_6 WHERE record = \"9-4\"", "scores": {"exact_match": 1.0}}
{"id": 337, "instruction": "What is the total number of Second, when First is greater than 18, when Season is 1992-93, and when Premier is greater than 16?", "input": "CREATE TABLE table_name_5 (second VARCHAR, premier VARCHAR, first VARCHAR, season VARCHAR)", "prediction": "SELECT COUNT(second) FROM table_name_5 WHERE first > 18 AND season = \"1992-93\" AND premier > 16", "gold": "SELECT COUNT(second) FROM table_name_5 WHERE first > 18 AND season = \"1992-93\" AND premier > 16", "scores": {"exact_match": 1.0}}
{"id": 338, "instruction": "Which money has a Country of united states, and a Place of t6?", "input": "CREATE TABLE table_name_23 (money___ INTEGER, country VARCHAR, place VARCHAR)", "prediction": "SELECT SUM(money___) AS $__ FROM table_name_23 WHERE country = \"united states\" AND place = \"t6\"", "gold": "SELECT AVG(money___) AS $__ FROM table_name_23 WHERE country = \"united states\" AND place = \"t6\"", "scores": {"exact_match": 0.0}}
{"id": 339, "instruction": "What road is associated with Carson Valley county?", "input": "CREATE TABLE table_25438110_5 (road VARCHAR, county VARCHAR)", "prediction": "SELECT road FROM table_25438110_5 WHERE county = \"Carson Valley\"", "gold": "SELECT road FROM table_25438110_5 WHERE county = \"Carson Valley\"", "scores": {"exact_match": 1.0}}
{"id": 340, "instruction": "What is the Pick # of the Player from Southern MIssissippi?", "input": "CREATE TABLE table_name_98 (pick VARCHAR, school VARCHAR)", "prediction": "SELECT pick FROM table_name_98 WHERE school = \"southern mississippi\"", "gold": "SELECT COUNT(pick) FROM table_name_98 WHERE school = \"southern mississippi\"", "scores": {"exact_match": 0.0}}
{"id": 341, "instruction": "What is the result at Dreisamstadion, Freiburg?", "input": "CREATE TABLE table_name_96 (result VARCHAR, venue VARCHAR)", "prediction": "SELECT result FROM table_name_96 WHERE venue = \"dreisamstadion, freiburg\"", "gold": "SELECT result FROM table_name_96 WHERE venue = \"dreisamstadion, freiburg\"", "scores": {"exact_match": 1.0}}
{"id": 342, "instruction": "What is the score of game 25?", "input": "CREATE TABLE table_name_37 (score VARCHAR, game VARCHAR)", "prediction": "SELECT score FROM table_name_37 WHERE game = 25", "gold": "SELECT score FROM table_name_37 WHERE game = 25", "scores": {"exact_match": 1.0}}
{"id": 343, "instruction": "What is the largest win percentage when John Gartin is coach, the record is 11-0, and the year is 2009?", "input": "CREATE TABLE table_name_80 (win__percentage INTEGER, year VARCHAR, coach VARCHAR, record VARCHAR)", "prediction": "SELECT MAX(win__percentage) FROM table_name_80 WHERE coach = \"john gartin\" AND record = \"11-0\" AND year = 2009", "gold": "SELECT MAX(win__percentage) FROM table_name_80 WHERE coach = \"john gartin\" AND record = \"11-0\" AND year = \"2009\"", "scores": {"exact_match": 0.0}}
{"id": 344, "instruction": "Which Result has a Game smaller than 37, and a Streak of lost 1, and a Record of 4-9?", "input": "CREATE TABLE table_name_40 (result VARCHAR, record VARCHAR, game VARCHAR, streak VARCHAR)", "prediction": "SELECT result FROM table_name_40 WHERE game < 37 AND streak = \"lost 1\" AND record = \"4-9\"", "gold": "SELECT result FROM table_name_40 WHERE game < 37 AND streak = \"lost 1\" AND record = \"4-9\"", "scores": {"exact_match": 1.0}}
{"id": 345, "instruction": "What was the final score on March 22, 1993?", "input": "CREATE TABLE table_name_24 (score_in_the_final VARCHAR, date VARCHAR)", "prediction": "SELECT score_in_the_final FROM table_name_24 WHERE date = \"march 22, 1993\"", "gold": "SELECT score_in_the_final FROM table_name_24 WHERE date = \"march 22, 1993\"", "scores": {"exact_match": 1.0}}
{"id": 346, "instruction": "What is the title that has 14.59 u.s. viewers (millions)?", "input": "CREATE TABLE table_22078691_2 (title VARCHAR, us_viewers__millions_ VARCHAR)", "prediction": "SELECT title FROM table_22078691_2 WHERE us_viewers__millions_ = \"14.59\"", "gold": "SELECT title FROM table_22078691_2 WHERE us_viewers__millions_ = \"14.59\"", "scores": {"exact_match": 1.0}}
{"id": 347, "instruction": "How many picks does Matt Moran have altogether after round 6?", "input": "CREATE TABLE table_name_72 (pick VARCHAR, name VARCHAR, round VARCHAR)", "prediction": "SELECT COUNT(pick) FROM table_name_72 WHERE name = \"matt moran\" AND round > 6", "gold": "SELECT COUNT(pick) FROM table_name_72 WHERE name = \"matt moran\" AND round > 6", "scores": {"exact_match": 1.0}}
{"id": 348, "instruction": "what is the minimum purse( $ ) where tournament is ko olina senior invitational", "input": "CREATE TABLE table_11622255_1 (purse__ INTEGER, tournament VARCHAR)", "prediction": "SELECT MIN(purse__ AS $_) FROM table_11622255_1 WHERE tournament = \"Ko Olina Senior Invitational\"", "gold": "SELECT MIN(purse__) AS $__ FROM table_11622255_1 WHERE tournament = \"Ko Olina Senior Invitational\"", "scores": {"exact_match": 0.0}}
{"id": 349, "instruction": "What are the scores for games where the home team is Adelaide?", "input": "CREATE TABLE table_16387953_1 (home_team VARCHAR)", "prediction": "SELECT home_team AS score FROM table_16387953_1 WHERE home_team = \"Adelaide\"", "gold": "SELECT home_team AS score FROM table_16387953_1 WHERE home_team = \"Adelaide\"", "scores": {"exact_match": 1.0}}
{"id": 350, "instruction": "How many states had a population density of 10188.8?", "input": "CREATE TABLE table_22916979_1 (state VARCHAR, population_density__people_per_mi_2__ VARCHAR)", "prediction": "SELECT COUNT(state) FROM table_22916979_1 WHERE population_density__people_per_mi_2__ = 10188.8", "gold": "SELECT COUNT(state) FROM table_22916979_1 WHERE population_density__people_per_mi_2__ = \"10188.8\"", "scores": {"exact_match": 0.0}}
{"id": 351, "instruction": "What is Home, when Score is 103-93?", "input": "CREATE TABLE table_name_95 (home VARCHAR, score VARCHAR)", "prediction": "SELECT home FROM table_name_95 WHERE score = \"103-93\"", "gold": "SELECT home FROM table_name_95 WHERE score = \"103-93\"", "scores": {"exact_match": 1.0}}
{"id": 352, "instruction": "What is the average number of goals that occurred in Hong Kong Stadium, Hong Kong?", "input": "CREATE TABLE table_name_53 (goals INTEGER, venue VARCHAR)", "prediction": "SELECT AVG(goals) FROM table_name_53 WHERE venue = \"hong kong stadium, hong kong\"", "gold": "SELECT AVG(goals) FROM table_name_53 WHERE venue = \"hong kong stadium, hong kong\"", "scores": {"exact_match": 1.0}}
{"id": 353, "instruction": "During what Season was the Final Venue at Sandy Lane with Kiveton Park as the Winner?", "input": "CREATE TABLE table_name_62 (season VARCHAR, winner VARCHAR, final_venue VARCHAR)", "prediction": "SELECT season FROM table_name_62 WHERE winner = \"kiveton park\" AND final_venue = \"sandy lane\"", "gold": "SELECT season FROM table_name_62 WHERE winner = \"kiveton park\" AND final_venue = \"sandy lane\"", "scores": {"exact_match": 1.0}}
{"id": 354, "instruction": "WHAT IS THE AVERAGE POLES WITH POINTS N/A?", "input": "CREATE TABLE table_name_71 (poles INTEGER, points VARCHAR)", "prediction": "SELECT AVG(poles) FROM table_name_71 WHERE points = \"n/a\"", "gold": "SELECT AVG(poles) FROM table_name_71 WHERE points = \"n/a\"", "scores": {"exact_match": 1.0}}
{"id": 355, "instruction": "Who was the visitor that led to a 3-0-2 record?", "input": "CREATE TABLE table_name_15 (visitor VARCHAR, record VARCHAR)", "prediction": "SELECT visitor FROM table_name_15 WHERE record = \"3-0-2\"", "gold": "SELECT visitor FROM table_name_15 WHERE record = \"3-0-2\"", "scores": {"exact_match": 1.0}}
{"id": 356, "instruction": "What is the total number of Lost, when Played is less than 34?", "input": "CREATE TABLE table_name_91 (lost VARCHAR, played INTEGER)", "prediction": "SELECT COUNT(lost) FROM table_name_91 WHERE played < 34", "gold": "SELECT COUNT(lost) FROM table_name_91 WHERE played < 34", "scores": {"exact_match": 1.0}}
{"id": 357, "instruction": "Who received the reward on the episode where the finish was \"3rd voted out day 8\"?", "input": "CREATE TABLE table_1272844_2 (reward VARCHAR, finish VARCHAR)", "prediction": "SELECT reward FROM table_1272844_2 WHERE finish = \"3rd voted Out Day 8\"", "gold": "SELECT reward FROM table_1272844_2 WHERE finish = \"3rd voted Out Day 8\"", "scores": {"exact_match": 1.0}}
{"id": 358, "instruction": "What is the Score when Deportes Savio is the Home team?", "input": "CREATE TABLE table_name_99 (score VARCHAR, home VARCHAR)", "prediction": "SELECT score FROM table_name_99 WHERE home = \"deportes savio\"", "gold": "SELECT score FROM table_name_99 WHERE home = \"deportes savio\"", "scores": {"exact_match": 1.0}}
{"id": 359, "instruction": "How many games are shown for the game where andre iguodala (9) had the high rebounds?", "input": "CREATE TABLE table_27698941_6 (game VARCHAR, high_rebounds VARCHAR)", "prediction": "SELECT COUNT(game) FROM table_27698941_6 WHERE high_rebounds = \"Andre Iguodala (9)\"", "gold": "SELECT COUNT(game) FROM table_27698941_6 WHERE high_rebounds = \"Andre Iguodala (9)\"", "scores": {"exact_match": 1.0}}
{"id": 360, "instruction": "Where was the competition that took place that had a 5-1 result?", "input": "CREATE TABLE table_name_7 (venue VARCHAR, result VARCHAR)", "prediction": "SELECT venue FROM table_name_7 WHERE result = \"5-1\"", "gold": "SELECT venue FROM table_name_7 WHERE result = \"5-1\"", "scores": {"exact_match": 1.0}}
{"id": 361, "instruction": "Show the names and ids of tourist attractions that are visited at most once.", "input": "CREATE TABLE VISITS (Tourist_Attraction_ID VARCHAR); CREATE TABLE Tourist_Attractions (Name VARCHAR, Tourist_Attraction_ID VARCHAR)", "prediction": "SELECT Name, Tourist_Attraction_ID FROM Tourist_Attractions WHERE Tourist_Attraction_ID NOT IN (SELECT Tourist_Attraction_ID FROM VISITS)", "gold": "SELECT T1.Name, T1.Tourist_Attraction_ID FROM Tourist_Attractions AS T1 JOIN VISITS AS T2 ON T1.Tourist_Attraction_ID = T2.Tourist_Attraction_ID GROUP BY T2.Tourist_Attraction_ID HAVING COUNT(*) <= 1", "scores": {"exact_match": 0.0}}
{"id": 362, "instruction": "Who was the incumbent in the district that first elected someone in 1807?", "input": "CREATE TABLE table_2668378_18 (incumbent VARCHAR, first_elected VARCHAR)", "prediction": "SELECT incumbent FROM table_2668378_18 WHERE first_elected = 1807", "gold": "SELECT incumbent FROM table_2668378_18 WHERE first_elected = \"1807\"", "scores": {"exact_match": 0.0}}
{"id": 363, "instruction": "What kind of Silver has a Rank of 3, and a Gold smaller than 2?", "input": "CREATE TABLE table_name_9 (silver VARCHAR, rank VARCHAR, gold VARCHAR)", "prediction": "SELECT COUNT(silver) FROM table_name_9 WHERE rank = 3 AND gold < 2", "gold": "SELECT COUNT(silver) FROM table_name_9 WHERE rank = \"3\" AND gold < 2", "scores": {"exact_match": 0.0}}
{"id": 364, "instruction": "Ron Jans is a manager of which kit maker?", "input": "CREATE TABLE table_name_68 (kit_maker VARCHAR, manager VARCHAR)", "prediction": "SELECT kit_maker FROM table_name_68 WHERE manager = \"ron jans\"", "gold": "SELECT kit_maker FROM table_name_68 WHERE manager = \"ron jans\"", "scores": {"exact_match": 1.0}}
{"id": 365, "instruction": "Find the id and name of the most expensive base price room.", "input": "CREATE TABLE Rooms (RoomId VARCHAR, roomName VARCHAR, basePrice VARCHAR)", "prediction": "SELECT RoomId, roomName FROM Rooms ORDER BY basePrice DESC LIMIT 1", "gold": "SELECT RoomId, roomName FROM Rooms ORDER BY basePrice DESC LIMIT 1", "scores": {"exact_match": 1.0}}
{"id": 366, "instruction": "What is the total number of bronze when the total is less than 1?", "input": "CREATE TABLE table_name_51 (bronze INTEGER, total INTEGER)", "prediction": "SELECT SUM(bronze) FROM table_name_51 WHERE total < 1", "gold": "SELECT SUM(bronze) FROM table_name_51 WHERE total < 1", "scores": {"exact_match": 1.0}}
{"id": 367, "instruction": "What runner-up has 1925 as the year?", "input": "CREATE TABLE table_name_6 (runner_up VARCHAR, year VARCHAR)", "prediction": "SELECT runner_up FROM table_name_6 WHERE year = 1925", "gold": "SELECT runner_up FROM table_name_6 WHERE year = \"1925\"", "scores": {"exact_match": 0.0}}
{"id": 368, "instruction": "What date shows corrado barazzutti's partner?", "input": "CREATE TABLE table_name_99 (date VARCHAR, partner VARCHAR)", "prediction": "SELECT date FROM table_name_99 WHERE partner = \"corrado barazzutti\"", "gold": "SELECT date FROM table_name_99 WHERE partner = \"corrado barazzutti\"", "scores": {"exact_match": 1.0}}
{"id": 369, "instruction": "What is the rank for the team with a Time of 1:12.40.28?", "input": "CREATE TABLE table_name_94 (rank INTEGER, time VARCHAR)", "prediction": "SELECT SUM(rank) FROM table_name_94 WHERE time = \"1:12.40.28\"", "gold": "SELECT SUM(rank) FROM table_name_94 WHERE time = \"1:12.40.28\"", "scores": {"exact_match": 1.0}}
{"id": 370, "instruction": "Name the total number of games for w 112-94", "input": "CREATE TABLE table_27882867_4 (game VARCHAR, score VARCHAR)", "prediction": "SELECT COUNT(game) FROM table_27882867_4 WHERE score = \"W 112-94\"", "gold": "SELECT COUNT(game) FROM table_27882867_4 WHERE score = \"W 112-94\"", "scores": {"exact_match": 1.0}}
{"id": 371, "instruction": "What was the type when there were 175932 yes votes?", "input": "CREATE TABLE table_256286_40 (type VARCHAR, yes_votes VARCHAR)", "prediction": "SELECT type FROM table_256286_40 WHERE yes_votes = 175932", "gold": "SELECT type FROM table_256286_40 WHERE yes_votes = 175932", "scores": {"exact_match": 1.0}}
{"id": 372, "instruction": "During the quarter of 2012 Q2, how many millions of Blackberry OS phones where shipped when 0.1 million others were shipped?", "input": "CREATE TABLE table_14260687_3 (blackberry_os VARCHAR, other VARCHAR, quarter VARCHAR)", "prediction": "SELECT COUNT(blackberry_os) FROM table_14260687_3 WHERE other = \"0.1 million\" AND quarter = \"2012 Q2\"", "gold": "SELECT COUNT(blackberry_os) FROM table_14260687_3 WHERE other = \"0.1\" AND quarter = \"2012 Q2\"", "scores": {"exact_match": 0.0}}
{"id": 373, "instruction": "Name the sum of round for pick of 169", "input": "CREATE TABLE table_name_41 (round INTEGER, pick VARCHAR)", "prediction": "SELECT SUM(round) FROM table_name_41 WHERE pick = 169", "gold": "SELECT SUM(round) FROM table_name_41 WHERE pick = 169", "scores": {"exact_match": 1.0}}
{"id": 374, "instruction": "What years have joyce couwenberg as the character?", "input": "CREATE TABLE table_name_62 (years VARCHAR, character VARCHAR)", "prediction": "SELECT years FROM table_name_62 WHERE character = \"joyce couwenberg\"", "gold": "SELECT years FROM table_name_62 WHERE character = \"joyce couwenberg\"", "scores": {"exact_match": 1.0}}
{"id": 375, "instruction": "How many years for the team with under 31 ties and a percentage of 0.5451?", "input": "CREATE TABLE table_name_15 (years VARCHAR, tied VARCHAR, pct VARCHAR)", "prediction": "SELECT COUNT(years) FROM table_name_15 WHERE tied < 31 AND pct = 0.5451", "gold": "SELECT years FROM table_name_15 WHERE tied < 31 AND pct = 0.5451", "scores": {"exact_match": 0.0}}
{"id": 376, "instruction": "Name the name for  plymouth albion orrell", "input": "CREATE TABLE table_22977424_8 (name VARCHAR, promoted_to_league VARCHAR)", "prediction": "SELECT name FROM table_22977424_8 WHERE promoted_to_league = \"Plymouth Albion Orrell\"", "gold": "SELECT name FROM table_22977424_8 WHERE promoted_to_league = \"Plymouth Albion Orrell\"", "scores": {"exact_match": 1.0}}
{"id": 377, "instruction": "What total average has 1988 has the year (s) won?", "input": "CREATE TABLE table_name_34 (total INTEGER, year_s__won VARCHAR)", "prediction": "SELECT AVG(total) FROM table_name_34 WHERE year_s__won = \"1988\"", "gold": "SELECT AVG(total) FROM table_name_34 WHERE year_s__won = \"1988\"", "scores": {"exact_match": 1.0}}
{"id": 378, "instruction": "Which circuit was held on 25–28 march?", "input": "CREATE TABLE table_26686908_2 (circuit VARCHAR, date VARCHAR)", "prediction": "SELECT circuit FROM table_26686908_2 WHERE date = \"25–28 March\"", "gold": "SELECT circuit FROM table_26686908_2 WHERE date = \"25–28 March\"", "scores": {"exact_match": 1.0}}
{"id": 379, "instruction": "Name the official website which has dish of • and callsign of kvtv", "input": "CREATE TABLE table_name_18 (official_website VARCHAR, dish VARCHAR, callsign VARCHAR)", "prediction": "SELECT official_website FROM table_name_18 WHERE dish = \"•\" AND callsign = \"kvtv\"", "gold": "SELECT official_website FROM table_name_18 WHERE dish = \"•\" AND callsign = \"kvtv\"", "scores": {"exact_match": 1.0}}
{"id": 380, "instruction": "What is their withdrawal rate for the school district with headquarters located in Truro?", "input": "CREATE TABLE table_21514460_1 (withdrawal_rate__2010_11_ VARCHAR, headquarters VARCHAR)", "prediction": "SELECT withdrawal_rate__2010_11_ FROM table_21514460_1 WHERE headquarters = \"Truro\"", "gold": "SELECT withdrawal_rate__2010_11_ FROM table_21514460_1 WHERE headquarters = \"Truro\"", "scores": {"exact_match": 1.0}}
{"id": 381, "instruction": "When was ron-robert zieler loaned out until ?", "input": "CREATE TABLE table_name_90 (date_to VARCHAR, name VARCHAR)", "prediction": "SELECT date_to FROM table_name_90 WHERE name = \"ron-robert zieler\"", "gold": "SELECT date_to FROM table_name_90 WHERE name = \"ron-robert zieler\"", "scores": {"exact_match": 1.0}}
{"id": 382, "instruction": "Which Attendance  has a Game score less than 3, and a Score of 2 – 5?", "input": "CREATE TABLE table_name_58 (attendance INTEGER, game VARCHAR, score VARCHAR)", "prediction": "SELECT MAX(attendance) FROM table_name_58 WHERE game < 3 AND score = \"2 – 5\"", "gold": "SELECT AVG(attendance) FROM table_name_58 WHERE game < 3 AND score = \"2 – 5\"", "scores": {"exact_match": 0.0}}
{"id": 383, "instruction": "What is the abbreviation of Airline \"JetBlue Airways\"?", "input": "CREATE TABLE AIRLINES (Abbreviation VARCHAR, Airline VARCHAR)", "prediction": "SELECT Abbreviation FROM AIRLINES WHERE Airline = \"JetBlue Airways\"", "gold": "SELECT Abbreviation FROM AIRLINES WHERE Airline = \"JetBlue Airways\"", "scores": {"exact_match": 1.0}}
{"id": 384, "instruction": "What was the name of the Visiting team at Jack Murphy Stadium?", "input": "CREATE TABLE table_name_90 (visiting_team VARCHAR, stadium VARCHAR)", "prediction": "SELECT visiting_team FROM table_name_90 WHERE stadium = \"jack murphy stadium\"", "gold": "SELECT visiting_team FROM table_name_90 WHERE stadium = \"jack murphy stadium\"", "scores": {"exact_match": 1.0}}
{"id": 385, "instruction": "What Opponent in the final had a match with a Score in the final of 7–5, 6–2?", "input": "CREATE TABLE table_name_31 (opponent_in_the_final VARCHAR, score_in_the_final VARCHAR)", "prediction": "SELECT opponent_in_the_final FROM table_name_31 WHERE score_in_the_final = \"7–5, 6–2\"", "gold": "SELECT opponent_in_the_final FROM table_name_31 WHERE score_in_the_final = \"7–5, 6–2\"", "scores": {"exact_match": 1.0}}
{"id": 386, "instruction": "What language is the moviein that is on UMP movies network through Sky service?", "input": "CREATE TABLE table_name_87 (language VARCHAR, network VARCHAR, genre VARCHAR, service VARCHAR)", "prediction": "SELECT language FROM table_name_87 WHERE genre = \"movie\" AND service = \"sky\" AND network = \"ump movies\"", "gold": "SELECT language FROM table_name_87 WHERE genre = \"movies\" AND service = \"sky\" AND network = \"ump movies\"", "scores": {"exact_match": 0.0}}
{"id": 387, "instruction": "Which team has nc position for 2010 season?", "input": "CREATE TABLE table_23338693_1 (team VARCHAR, position VARCHAR, season VARCHAR)", "prediction": "SELECT team FROM table_23338693_1 WHERE position = \"NC\" AND season = \"2010\"", "gold": "SELECT team FROM table_23338693_1 WHERE position = \"NC\" AND season = 2010", "scores": {"exact_match": 0.0}}
{"id": 388, "instruction": "What is the time/retired for grid 5?", "input": "CREATE TABLE table_name_8 (time_retired VARCHAR, grid VARCHAR)", "prediction": "SELECT time_retired FROM table_name_8 WHERE grid = 5", "gold": "SELECT time_retired FROM table_name_8 WHERE grid = 5", "scores": {"exact_match": 1.0}}
{"id": 389, "instruction": "What was the attendance of the South Melbourne away game?", "input": "CREATE TABLE table_name_5 (crowd VARCHAR, away_team VARCHAR)", "prediction": "SELECT crowd FROM table_name_5 WHERE away_team = \"south melbourne\"", "gold": "SELECT COUNT(crowd) FROM table_name_5 WHERE away_team = \"south melbourne\"", "scores": {"exact_match": 0.0}}
{"id": 390, "instruction": "How many total titles did Rupesh Kumar Sanave Thomas and Jwala Gutta Ashwini Ponnappa win total?", "input": "CREATE TABLE table_12194021_1 (womens_singles VARCHAR, mens_doubles VARCHAR, womens_doubles VARCHAR)", "prediction": "SELECT COUNT(womens_singles) FROM table_12194021_1 WHERE mens_doubles = \"Rupesh Kumar Sanave Thomas\" AND womens_doubles = \"Jwala Gutta Ashwini Ponnappa\"", "gold": "SELECT COUNT(womens_singles) FROM table_12194021_1 WHERE mens_doubles = \"Rupesh Kumar Sanave Thomas\" AND womens_doubles = \"Jwala Gutta Ashwini Ponnappa\"", "scores": {"exact_match": 1.0}}
{"id": 391, "instruction": "What is the rd for the canadian grand prix?", "input": "CREATE TABLE table_1132588_3 (rd VARCHAR, grand_prix VARCHAR)", "prediction": "SELECT rd FROM table_1132588_3 WHERE grand_prix = \"Canadian grand prix\"", "gold": "SELECT rd FROM table_1132588_3 WHERE grand_prix = \"Canadian grand_prix\"", "scores": {"exact_match": 0.0}}
{"id": 392, "instruction": "Where is the team that has a stadium capable of a capacity of 10,517 5,006 located?", "input": "CREATE TABLE table_283203_1 (location VARCHAR, capacity VARCHAR)", "prediction": "SELECT location FROM table_283203_1 WHERE capacity = \"10,517 5,006\"", "gold": "SELECT location FROM table_283203_1 WHERE capacity = \"10,517 5,006\"", "scores": {"exact_match": 1.0}}
{"id": 393, "instruction": "Who had the high rebounds on February 24?", "input": "CREATE TABLE table_name_36 (high_rebounds VARCHAR, date VARCHAR)", "prediction": "SELECT high_rebounds FROM table_name_36 WHERE date = \"february 24\"", "gold": "SELECT high_rebounds FROM table_name_36 WHERE date = \"february 24\"", "scores": {"exact_match": 1.0}}
{"id": 394, "instruction": "December larger than 21, and a Opponent of Pittsburgh penguins had what average game?", "input": "CREATE TABLE table_name_30 (game INTEGER, december VARCHAR, opponent VARCHAR)", "prediction": "SELECT AVG(game) FROM table_name_30 WHERE december > 21 AND opponent = \"pittsburgh penguins\"", "gold": "SELECT AVG(game) FROM table_name_30 WHERE december > 21 AND opponent = \"pittsburgh penguins\"", "scores": {"exact_match": 1.0}}
{"id": 395, "instruction": "How many providers were founded in 1964?", "input": "CREATE TABLE table_11390711_4 (provider_iai_ VARCHAR, foundation VARCHAR)", "prediction": "SELECT COUNT(provider_iai_) FROM table_11390711_4 WHERE foundation = 1964", "gold": "SELECT COUNT(provider_iai_) FROM table_11390711_4 WHERE foundation = 1964", "scores": {"exact_match": 1.0}}
{"id": 396, "instruction": "What is the velocity of the pilot named 'Thompson'?", "input": "CREATE TABLE flight (velocity INTEGER, pilot VARCHAR)", "prediction": "SELECT AVG(velocity) FROM flight WHERE pilot = \"Thompson\"", "gold": "SELECT AVG(velocity) FROM flight WHERE pilot = 'Thompson'", "scores": {"exact_match": 0.0}}
{"id": 397, "instruction": "How many parks is Zippin Pippin located in", "input": "CREATE TABLE table_2665085_1 (park VARCHAR, name VARCHAR)", "prediction": "SELECT COUNT(park) FROM table_2665085_1 WHERE name = \"Zippin Pippin\"", "gold": "SELECT COUNT(park) FROM table_2665085_1 WHERE name = \"Zippin Pippin\"", "scores": {"exact_match": 1.0}}
{"id": 398, "instruction": "How much money has a to par of E?", "input": "CREATE TABLE table_name_14 (money___ VARCHAR, to_par VARCHAR)", "prediction": "SELECT money___ AS $__ FROM table_name_14 WHERE to_par = \"e\"", "gold": "SELECT COUNT(money___) AS $__ FROM table_name_14 WHERE to_par = \"e\"", "scores": {"exact_match": 0.0}}
{"id": 399, "instruction": "What is the name of the host nations if the winner was Hong Kong 207/6 (47.1 overs)?", "input": "CREATE TABLE table_22577693_1 (host_nation_s_ VARCHAR, winner VARCHAR)", "prediction": "SELECT host_nation_s_ FROM table_22577693_1 WHERE winner = \"Hong Kong 207/6 (47.1 overs)\"", "gold": "SELECT host_nation_s_ FROM table_22577693_1 WHERE winner = \"Hong Kong 207/6 (47.1 overs)\"", "scores": {"exact_match": 1.0}}