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student_club | Based on the total cost for all event, what is the percentage of cost for Yearly Kickoff event? | DIVIDE(SUM(cost where event_name = 'Yearly Kickoff'), SUM(cost)) * 100 | SELECT CAST(SUM(CASE WHEN T1.event_name = 'Yearly Kickoff' THEN T3.cost ELSE 0 END) AS REAL) * 100 / SUM(T3.cost) FROM event AS T1 INNER JOIN budget AS T2 ON T1.event_id = T2.link_to_event INNER JOIN expense AS T3 ON T2.budget_id = T3.link_to_budget | 1,390 | moderate |
california_schools | What is the total number of schools with a mailing city in Hickman belonging to the charter number 00D4? | SELECT COUNT(*) FROM schools WHERE CharterNum = '00D4' AND MailCity = 'Hickman' | 64 | simple |
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card_games | For the set of cards with "Ancestor's Chosen" in it, is there a Korean version of it? | set of cards with "Ancestor's Chosen" in it refers to name = 'Ancestor's Chosen'; Korean version refers to language = 'Korean' | SELECT IIF(SUM(CASE WHEN T2.language = 'Korean' AND T2.translation IS NOT NULL THEN 1 ELSE 0 END) > 0, 'YES', 'NO') FROM cards AS T1 INNER JOIN set_translations AS T2 ON T2.setCode = T1.setCode WHERE T1.name = 'Ancestor''s Chosen' | 465 | moderate |
student_club | Write the full names of students who received funds on the date of 9/9/2019 and include the amount received. | full name refers to first_name, last_name, amount of funds received refers to amount, received funds on date refers to date_received | SELECT DISTINCT T3.first_name, T3.last_name, T4.amount FROM event AS T1 INNER JOIN attendance AS T2 ON T1.event_id = T2.link_to_event INNER JOIN member AS T3 ON T3.member_id = T2.link_to_member INNER JOIN income AS T4 ON T4.link_to_member = T3.member_id WHERE T4.date_received = '2019-09-09' | 1,464 | challenging |
thrombosis_prediction | Among the patients whose level of Hematoclit isn't normal, which patient has the highest anti-Cardiolipin antibody concentration? Please list his or her ID. | Hematoclit is normal refers to 29 < N < 52; highest anti-Cardiolipin antibody concentration refers to MAX(`aCL IgA`); | SELECT DISTINCT T1.ID FROM Patient AS T1 INNER JOIN Examination AS T2 ON T1.ID = T2.ID INNER JOIN Laboratory AS T3 on T1.ID = T3.ID WHERE (T3.HCT >= 52 OR T3.HCT <= 29) ORDER BY T2.`aCL IgA` DESC LIMIT 1 | 1,263 | moderate |
financial | Among the accounts who have approved loan date in 1997, list out the accounts that have the lowest approved amount and choose weekly issuance statement. | 'POPLATEK TYDNE' stands for weekly issuance | SELECT T2.account_id FROM loan AS T1 INNER JOIN account AS T2 ON T1.account_id = T2.account_id WHERE STRFTIME('%Y', T1.date) = '1997' AND T2.frequency = 'POPLATEK TYDNE' ORDER BY T1.amount LIMIT 1 | 98 | moderate |
thrombosis_prediction | What is the most common illness that doctors identified among the patients whose lab work was done between 1/1/1985, and 12/31/1995? | the most common illness refers to MAX(COUNT(Diagnosis)); lab work between 1/1/1985 and 12/31/1995 refers to `Examination Date` between '1985-01-01' and '1995-12-31 ' | SELECT T2.Diagnosis FROM Examination AS T1 INNER JOIN Patient AS T2 ON T1.ID = T2.ID WHERE T1.`Examination Date` BETWEEN '1985-01-01' AND '1995-12-31' GROUP BY T2.Diagnosis ORDER BY COUNT(T2.Diagnosis) DESC LIMIT 1 | 1,173 | challenging |
card_games | List the edhrecRank for cards with frame version 2015. | SELECT edhrecRank FROM cards WHERE frameVersion = 2015 | 380 | simple |
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card_games | What is the status of card "Cloudchaser Eagle"? | Cloudchaser Eagle is the name of card; | SELECT DISTINCT T2.status FROM cards AS T1 INNER JOIN legalities AS T2 ON T1.uuid = T2.uuid WHERE T1.name = 'Cloudchaser Eagle' | 364 | simple |
toxicology | What is the composition of element chlorine in percentage among the single bond molecules? | element chlorine refers to element = 'cl'; single bond refers to bond_type = '-'; percentage = DIVIDE(SUM(element = 'cl'), COUNT(atom_id)) as percent where bond_type = '-' | SELECT CAST(COUNT(CASE WHEN T.element = 'cl' THEN T.atom_id ELSE NULL END) AS REAL) * 100 / COUNT(T.atom_id) FROM ( SELECT T1.atom_id, T1.element FROM atom AS T1 INNER JOIN molecule AS T2 ON T1.molecule_id = T2.molecule_id INNER JOIN bond AS T3 ON T2.molecule_id = T3.molecule_id WHERE T3.bond_type = '-' ) AS T | 263 | challenging |
superhero | How many superheroes have a neutral alignment? | neutral alignment refers to alignment_id = 3; | SELECT COUNT(T1.id) FROM superhero AS T1 INNER JOIN alignment AS T2 ON T1.alignment_id = T2.id WHERE T2.alignment = 'Neutral' | 795 | simple |
student_club | List the last names of students under the Elementary Education major and include their phone numbers. | 'Elementary Education' is the major name; phone numbers refers to phone | SELECT T1.last_name, T1.phone FROM member AS T1 INNER JOIN major AS T2 ON T2.major_id = T1.link_to_major WHERE T2.major_name = 'Elementary Education' | 1,461 | simple |
thrombosis_prediction | Among the patients who have an abnormal level of glutamic oxaloacetic transaminase, when was the youngest of them born? | abnormal level of glutamic oxaloacetic transaminase refers to GOT > = 60; youngest refers to MAX(Birthday); | SELECT T1.Birthday FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.GOT >= 60 ORDER BY T1.Birthday DESC LIMIT 1 | 1,281 | moderate |
formula_1 | How many British drivers were born after 1980? | born after 1980 refers to year (dob) >1980; | SELECT COUNT(driverId) FROM drivers WHERE nationality = 'British' AND STRFTIME('%Y', dob) > '1980' | 947 | simple |
thrombosis_prediction | Among the patients who has a normal level of anti-centromere and a normal level of anti-SSB, how many of them are male? | normal level of anti-centromere refers to CENTROMEA IN('-', '+-'); normal level of anti-SSB refers to SSB IN('-', '+-'); male refers to Sex = 'M'; | SELECT COUNT(DISTINCT T1.ID) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.CENTROMEA IN ('negative', '0') AND T2.SSB IN ('negative', '0') AND T1.SEX = 'M' | 1,275 | moderate |
thrombosis_prediction | How many patients with a normal Rhuematoid Factor has a positive measure of degree of coagulation? | normal Rhuematoid Factor refers TO RA IN('-', '+-'); positive measure of degree of coagulation refers to KCT = '+'; Should compute the number of distinct ones | SELECT COUNT(DISTINCT T1.ID) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID INNER JOIN Examination AS T3 ON T3.ID = T2.ID WHERE (T2.RA = '-' OR T2.RA = '+-') AND T3.KCT = '+' | 1,258 | moderate |
student_club | Where is the hometown state for "Sacha Harrison"? | hometown state refers to state; | SELECT T2.state FROM member AS T1 INNER JOIN zip_code AS T2 ON T1.zip = T2.zip_code WHERE T1.first_name = 'Sacha' AND T1.last_name = 'Harrison' | 1,355 | simple |
financial | List out the clients who choose statement of issuance after transaction are Disponent? | 'POPLATEK PO OBRATU' stands for issuance after transaction | SELECT T2.client_id FROM account AS T1 INNER JOIN disp AS T2 ON T1.account_id = T2.account_id WHERE T1.frequency = 'POPLATEK PO OBRATU' AND T2.type = 'DISPONENT' | 97 | simple |
codebase_community | Mention the reputation of users who had obtained the badge on 7/19/2010 7:39:08 PM. | on 7/19/2010 7:39:08 PM refers to Date = '2010-07-19 19:39:08.0' | SELECT T1.Reputation FROM users AS T1 INNER JOIN badges AS T2 ON T1.Id = T2.UserId WHERE T2.Date = '2010-07-19 19:39:08.0' | 611 | simple |
financial | What is the average amount of loan which are still on running contract with statement issuance after each transaction? | status = 'C' stands for running contract, OK so far; status = 'D' stands for running contract, client in debt. 'POPLATEK PO OBRATU' stands for issuance after transaction | SELECT AVG(T2.payments) FROM account AS T1 INNER JOIN loan AS T2 ON T1.account_id = T2.account_id WHERE T2.status IN ('C', 'D') AND T1.frequency = 'POPLATEK PO OBRATU' | 192 | moderate |
financial | Who is the owner of the account with the largest loan amount? | SELECT T1.client_id FROM disp AS T1 INNER JOIN loan AS T2 ON T1.account_id = T2.account_id WHERE T1.type = 'OWNER' ORDER BY T2.amount DESC LIMIT 1 | 156 | simple |
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financial | For the client who first applied the loan in 1993/7/5, what is the increase rate of his/her account balance from 1993/3/22 to 1998/12/27? | Increase rate of his/her account balance = [(balance of date A - balance of date B) / balance of Date B] * 100% | SELECT CAST((SUM(IIF(T3.date = '1998-12-27', T3.balance, 0)) - SUM(IIF(T3.date = '1993-03-22', T3.balance, 0))) AS REAL) * 100 / SUM(IIF(T3.date = '1993-03-22', T3.balance, 0)) FROM loan AS T1 INNER JOIN account AS T2 ON T1.account_id = T2.account_id INNER JOIN trans AS T3 ON T3.account_id = T2.account_id WHERE T1.date = '1993-07-05' | 116 | challenging |
card_games | When was the oldest mythic card released and what are its legal play formats? | the oldest card refers to MIN(originalReleaseDate); mythic card refers to rarity = 'mythic'; legal play refers to status = 'legal'; play format refers to format | SELECT T1.originalReleaseDate, T2.format FROM cards AS T1 INNER JOIN legalities AS T2 ON T1.uuid = T2.uuid WHERE T1.rarity = 'mythic' AND T1.originalReleaseDate IS NOT NULL AND T2.status = 'Legal' ORDER BY T1.originalReleaseDate LIMIT 1 | 515 | moderate |
thrombosis_prediction | What is the percentage of the female patient whose uric acid (UA) beyond the normal range? | uric acid (UA) beyond the normal range refers to UA > 8.0 and SEX = 'M' or UA > 6.5 and SEX = 'F'; female refers to Sex = 'F' | SELECT CAST(SUM(CASE WHEN T2.UA > 6.5 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.ID) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T1.SEX = 'F' | 1,218 | moderate |
debit_card_specializing | For the customer who paid 634.8 in 2012/8/25, what was the consumption decrease rate from Year 2012 to 2013? | '2012/8/24' can be represented by '2012-08-24'; Consumption decrease rate = (consumption_2012 - consumption_2013) / consumption_2012 | SELECT CAST(SUM(IIF(SUBSTRING(Date, 1, 4) = '2012', Consumption, 0)) - SUM(IIF(SUBSTRING(Date, 1, 4) = '2013', Consumption, 0)) AS FLOAT) / SUM(IIF(SUBSTRING(Date, 1, 4) = '2012', Consumption, 0)) FROM yearmonth WHERE CustomerID = ( SELECT T1.CustomerID FROM transactions_1k AS T1 INNER JOIN gasstations AS T2 ON T1.GasStationID = T2.GasStationID WHERE T1.Date = '2012-08-25' AND T1.Price = 634.8 ) | 1,526 | challenging |
financial | What year was account owner number 130 born? | SELECT STRFTIME('%Y', T1.birth_date) FROM client AS T1 INNER JOIN disp AS T3 ON T1.client_id = T3.client_id INNER JOIN account AS T2 ON T3.account_id = T2.account_id WHERE T2.account_id = 130 | 174 | simple |
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formula_1 | Please list the lap records for the circuits in Italy. | lap record means the fastest time recorded which refers to time | WITH fastest_lap_times AS (SELECT T1.raceId, T1.FastestLapTime, (CAST(SUBSTR(T1.FastestLapTime, 1, INSTR(T1.FastestLapTime, ':') - 1) AS REAL) * 60) + (CAST(SUBSTR(T1.FastestLapTime, INSTR(T1.FastestLapTime, ':') + 1, INSTR(T1.FastestLapTime, '.') - INSTR(T1.FastestLapTime, ':') - 1) AS REAL)) + (CAST(SUBSTR(T1.FastestLapTime, INSTR(T1.FastestLapTime, '.') + 1) AS REAL) / 1000) as time_in_seconds FROM results AS T1 WHERE T1.FastestLapTime IS NOT NULL ) SELECT T1.FastestLapTime as lap_record FROM results AS T1 INNER JOIN races AS T2 on T1.raceId = T2.raceId INNER JOIN circuits AS T3 on T2.circuitId = T3.circuitId INNER JOIN (SELECT MIN(fastest_lap_times.time_in_seconds) as min_time_in_seconds FROM fastest_lap_times INNER JOIN races AS T2 on fastest_lap_times.raceId = T2.raceId INNER JOIN circuits AS T3 on T2.circuitId = T3.circuitId WHERE T3.country = 'Italy' ) AS T4 ON (CAST(SUBSTR(T1.FastestLapTime, 1, INSTR(T1.FastestLapTime, ':') - 1) AS REAL) * 60) + (CAST(SUBSTR(T1.FastestLapTime, INSTR(T1.FastestLapTime, ':') + 1, INSTR(T1.FastestLapTime, '.') - INSTR(T1.FastestLapTime, ':') - 1) AS REAL)) + (CAST(SUBSTR(T1.FastestLapTime, INSTR(T1.FastestLapTime, '.') + 1) AS REAL) / 1000) = T4.min_time_in_seconds LIMIT 1 | 1,014 | challenging |
financial | In 1996, which districts have the highest unemployment rate? List their branch location and district name. | A2 refers to district names; A13 refers to unemploymant rate in 1996 | SELECT district_id, A2 FROM district ORDER BY A13 DESC LIMIT 1 | 133 | simple |
student_club | For all the budgets for "November Meeting", how many of them had exceeded the budget? | 'November Meeting' is an event name; remaining < 0 means the cost had exceeded the budget | SELECT COUNT(T2.event_id) FROM budget AS T1 INNER JOIN event AS T2 ON T1.link_to_event = T2.event_id WHERE T2.event_name = 'November Meeting' AND T1.remaining < 0 | 1,348 | simple |
financial | Calculate the percentage of account from 'Decin' district for all accounts are opened in 1993. | A2 contains the information about district. | SELECT CAST(SUM(T1.A2 = 'Decin') AS REAL) * 100 / COUNT(account_id) FROM district AS T1 INNER JOIN account AS T2 ON T1.district_id = T2.district_id WHERE STRFTIME('%Y', T2.date) = '1993' | 126 | simple |
toxicology | Calculate the total atoms with triple-bond molecules containing the element phosphorus or bromine. | triple bond refers to bond_type = '#'; phosphorus refers to element = 'p'; bromine refers to element = 'br' | SELECT COUNT(T1.atom_id) FROM atom AS T1 INNER JOIN molecule AS T2 ON T1.molecule_id = T2.molecule_id INNER JOIN bond AS T3 ON T2.molecule_id = T3.molecule_id WHERE T3.bond_type = '#' AND T1.element IN ('p', 'br') | 260 | moderate |
formula_1 | What is the average fastest lap time of the top 10 drivers in the 2006 United States Grand Prix? | top 10 refers to rank <11; AVG(fastestLapTime); | SELECT AVG(T1.fastestLapTime) FROM results AS T1 INNER JOIN races AS T2 on T1.raceId = T2.raceId WHERE T1.rank < 11 AND T2.year = 2006 AND T2.name = 'United States GrAND Prix' | 987 | simple |
european_football_2 | What is the defensive work rate of the football player David Wilson
? | SELECT DISTINCT t2.defensive_work_rate FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t1.player_name = 'David Wilson' | 1,054 | simple |
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european_football_2 | How many matches were held in the league Germany 1. Bundesliga
from August to October 2008? | Germany 1. Bundesliga refers to League.name = 'Germany 1. Bundesliga'; from August to October 2008 refers to strftime('%Y-%m', date) BETWEEN '2008-08' AND '2008-10'; | SELECT COUNT(t2.id) FROM League AS t1 INNER JOIN Match AS t2 ON t1.id = t2.league_id WHERE t1.name = 'Germany 1. Bundesliga' AND SUBSTR(t2.`date`, 1, 7) BETWEEN '2008-08' AND '2008-10' | 1,073 | moderate |