schema stringlengths 20 14.6k | query stringlengths 17 2.58k | question stringlengths 8 1.06k |
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<table0>[table_22582] { <col0>[Year]:[real] <col1>[Starts]:[real] <col2>[Wins]:[real] <col3>[real]:[real] <col4>[Poles]:[real] <col5>[Avg]:[Start] <col6>[text]:[Avg] <col7>[Finish]:[text] <col8>[Winnings]:[text] <col9>[Position]:[text] <col10>[Team]:[text] } | SELECT "Avg. Finish" FROM `<table0>` WHERE "Winnings" = '$1,400' | What is the average finish for winnings of $1,400?
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<table0>[writes] { <col0>[paperid]:[int] <col1>[authorid]:[int] } <table1>[dataset] { <col0>[datasetid]:[int] <col1>[datasetname]:[varchar] } <table2>[journal] { <col0>[journalid]:[int] <col1>[journalname]:[varchar] } <table3>[paper] { <col0>[paperid]:[int] <col1>[title]:[varchar] <col2>[venueid]:[int] <col3>[year]:... | SELECT DISTINCT writes.paperid FROM author, writes WHERE author.authorname = 'Mark Guzdial' AND writes.authorid = author.authorid | what did Mark Guzdial write ? |
<table0>[table_78820] { <col0>[Week]:[real] <col1>[Date]:[text] <col2>[Opponent]:[text] <col3>[Result]:[text] <col4>[Kickoff]:[Time] <col5>[text]:[Attendance] } | SELECT "Kickoff Time" FROM `<table0>` WHERE "Week" = '17' | What is the kickoff time for the game in week of 17?
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<table0>[region_stats_2] { <col0>[region]:[TEXT] <col1>[year]:[INT] <col2>[visitors]:[INT] } | SELECT 100.0 * SUM( CASE WHEN `<col0>` = 'Oceania' THEN `<col2>` ELSE 0 END ) / SUM( `<col2>` ) as percentage FROM `<table0>` WHERE `<col1>` = 2021; | Determine the percentage of international visitors to New Zealand that are from the Oceania region. |
<table0>[table_28836] { <col0>[series]:[real] <col1>[season]:[real] <col2>[Title]:[text] <col3>[Directed]:[text] <col4>[Written]:[text] <col5>[Original]:[air] <col6>[date]:[text] <col7>[Prod]:[code] } | SELECT "Original air date" FROM `<table0>` WHERE "No. in series" = '32' | What date did series number 32 premiere? |
<table0>[Lanthanum_Production] { <col0>[year]:[INT] <col1>[production]:[FLOAT] } <table1>[Cerium_Production] { <col0>[year]:[INT] <col1>[production]:[FLOAT] } | SELECT production[year=2019]/( SELECT `<col1>` FROM `<table1>` WHERE `<col0>` = 2019 ) FROM `<table0>` WHERE `<col0>` = 2019; | What is the ratio of Lanthanum to Cerium production in 2019? |
<table0>[d_icd_procedures] { <col0>[row_id]:[number] <col1>[icd9_code]:[text] <col2>[short_title]:[text] <col3>[long_title]:[text] } <table1>[inputevents_cv] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[charttime]:[time] <col5>[itemid]:[number] } <t... | SELECT `<table10>`.admission_type FROM `<table10>` WHERE `<table10>`.subject_id = 67687 AND STRFTIME( '%y', `<table10>`.admittime ) <= '2104' ORDER BY `<table10>`.admittime DESC LIMIT 1 | how did patient 67687 last entered hospital until 2104?
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<table0>[microlab] { <col0>[microlabid]:[number] <col1>[patientunitstayid]:[number] <col2>[culturesite]:[text] <col3>[organism]:[text] <col4>[culturetakentime]:[time] } <table1>[lab] { <col0>[labid]:[number] <col1>[patientunitstayid]:[number] <col2>[labname]:[text] <col3>[labresult]:[number] <col4>[labresulttime]:[tim... | SELECT COUNT( DISTINCT t1.uniquepid ) FROM ( SELECT patient.uniquepid, `<table3>`.`<table3>`time FROM `<table3>` JOIN patient ON `<table3>`.patientunitstayid = patient.patientunitstayid WHERE `<table3>`.`<table3>`name = 'acute respiratory failure' AND STRFTIME( '%y', `<table3>`.`<table3>`time ) <= '2104' ) AS t1 JOIN (... | until 2104 how many people were diagnosed with acute respiratory failure within 2 months after being diagnosed with neutropenia?
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<table0>[military_innovation] { <col0>[INT]:[year] <col1>[INT]:[quarter] <col2>[INT]:[projects] <col3>[INT]:[INSERT] } | INSERT INTO military_innovation ( id, year, quarter, projects ) VALUES ( 7, 2021, 4, 50 ); SELECT * FROM military_innovation; | Insert a new military innovation project initiated in the fourth quarter of 2021 with 50 projects. |
<table0>[table_38119] { <col0>[Date]:[text] <col1>[Visitor]:[text] <col2>[Score]:[text] <col3>[Home]:[text] <col4>[Leading]:[scorer] <col5>[text]:[Record] } | SELECT "Home" FROM `<table0>` WHERE "Score" = '136-134' | What home has 136-134 as the score?
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<table0>[ArtistRevenue] { <col0>[Artist]:[VARCHAR] <col1>[Revenue]:[FLOAT] } | SELECT Artist, SUM( `<col1>` ) FROM `<table0>` GROUP BY Artist; | What is the total revenue generated by each artist from digital sales? |
<table0>[eos_accounts] { <col0>[account_name]:[VARCHAR] <col1>[token_balance]:[INTEGER] } <table1>[eosbet_token_contract] { <col0>[contract_name]:[VARCHAR] <col1>[token_holder]:[VARCHAR] <col2>[token_balance]:[INTEGER] } | SELECT `<table0>`.account_name FROM `<table0>` JOIN eosbet_token_contract ON `<table0>`.account_name = eosbet_token_contract.token_holder WHERE eosbet_token_contract.contract_name = 'EOSBET' AND `<table0>`.token_balance > 1000; | List all EOS accounts with more than 1000 tokens in the EOSBET token contract. |
<table0>[event] { <col0>[int]:[text] <col1>[Stadium_ID]:[int] <col2>[Year]:[text] } <table1>[swimmer] { <col0>[int]:[name] <col1>[text]:[Nationality] <col2>[text]:[meter_100] <col3>[real]:[meter_200] <col4>[text]:[meter_300] <col5>[text]:[meter_400] <col6>[text]:[meter_500] <col7>[text]:[meter_600] <col8>[text]:[meter... | SELECT name, ID FROM `<table1>` ORDER BY name DESC | Plot id by grouped by name as a bar graph, show by the x-axis in descending please.
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<table0>[fires] { <col0>[fire_year]:[number] <col1>[discovery_date]:[number] <col2>[discovery_doy]:[number] <col3>[discovery_time]:[text] <col4>[stat_cause_code]:[number] <col5>[stat_cause_descr]:[text] <col6>[cont_date]:[text] <col7>[cont_doy]:[text] <col8>[cont_time]:[text] <col9>[fire_size]:[number] <col10>[fire_siz... | SELECT `<col15>` FROM `<table0>` WHERE `<col0>` = 2001 GROUP BY `<col15>` ORDER BY COUNT( * ) DESC LIMIT 1 | Which states had the largest number of fires in 2001? |
<table0>[PostTypes] { <col0>[number]:[text] } <table1>[Users] { <col0>[number]:[Reputation] <col1>[number]:[CreationDate] <col2>[time]:[DisplayName] <col3>[text]:[LastAccessDate] <col4>[time]:[WebsiteUrl] <col5>[text]:[Location] <col6>[text]:[AboutMe] <col7>[text]:[Views] <col8>[number]:[UpVotes] <col9>[number]:[DownV... | SELECT v.Id, v.PostId, v.VoteTypeId, v.UserId, v.CreationDate, p.CreationDate, p.Score, p.ViewCount, p.OwnerUserId, p.Title, p.FavoriteCount, u.Reputation, u.CreationDate, u.DisplayName, u.Up`<table28>`, u.Down`<table28>` FROM `<table28>` AS v INNER JOIN Posts AS p ON p.Id = v.PostId INNER JOIN Users AS u ON u.Id = v.U... | Which users do have a post as favorite.
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<table0>[lab] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[itemid]:[text] <col3>[charttime]:[text] <col4>[flag]:[text] <col5>[value_unit]:[text] <col6>[label]:[text] <col7>[fluid]:[text] } <table1>[demographic] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[name]:[text] <col3>[marital_status]:[... | SELECT MIN( `<table1>`.age ) FROM `<table1>` WHERE `<table1>`.marital_status = "MARRIED" AND `<table1>`.discharge_location = "DEAD/EXPIRED" | what is the minimum age of patients who are married and discharged due to death/expired? |
<table0>[table_42495] { <col0>[Ballarat]:[text] <col1>[Wins]:[real] <col2>[Byes]:[real] <col3>[Losses]:[real] <col4>[Draws]:[real] } | SELECT MIN( "Draws" ) FROM `<table0>` WHERE "Losses" > '0' AND "Against" > '1353' AND "Wins" = '2' AND "Ballarat FL" = 'ballarat' | What is the lowest draws that have losses less than 0, an against greater than 1353, 2 as the wins, and ballarat as ballarat fl?
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<table0>[Exhibition] { <col0>[INT]:[VARCHAR] } <table1>[Visitor] { <col0>[INT]:[ExhibitionId] <col1>[INT]:[Age] <col2>[INT]:[Gender] } | SELECT `<table0>`Id, Name, COUNT( * ) as VisitorCount, AVG( Age ) as AverageAge, Gender, COUNT( DISTINCT Gender ) as GenderCount FROM `<table0>` e JOIN Visitor v ON e.Id = e.`<table0>`Id GROUP BY `<table0>`Id, Name, Gender ORDER BY VisitorCount DESC; | Identify the top exhibitions with the highest visitor count and their respective visitor demographics, sorted by visitor count in descending order. |
<table0>[CountryRegion] { <col0>[CountryRegionCode]:[text] <col1>[text]:[ModifiedDate] } <table1>[Culture] { <col0>[CultureID]:[text] <col1>[text]:[ModifiedDate] } <table2>[Currency] { <col0>[CurrencyCode]:[text] <col1>[text]:[ModifiedDate] } <table3>[CountryRegionCurrency] { <col0>[CountryRegionCode]:[text] <col1>[... | SELECT T1.Name, T3.Name FROM `<table60>` AS T1 INNER JOIN `<table60>`Vendor AS T2 ON T1.`<table60>`ID = T2.`<table60>`ID INNER JOIN Vendor AS T3 ON T2.BusinessEntityID = T3.BusinessEntityID WHERE STRFTIME( '%Y', T1.SellStartDate ) = '2013' | Name all products that started selling in 2013. State its respective vendor's name. |
<table0>[businesses] { <col0>[business_id]:[integer] <col1>[name]:[text] <col2>[address]:[text] <col3>[city]:[text] <col4>[postal_code]:[text] <col5>[latitude]:[real] <col6>[longitude]:[real] <col7>[phone_number]:[integer] <col8>[tax_code]:[text] <col9>[business_certificate]:[integer] <col10>[application_date]:[date] <... | SELECT DISTINCT T4.name FROM ( SELECT T3.name, T3.years, row_number( ) OVER ( PARTITION BY T3.name ORDER BY T3.years ) AS rowNumber FROM ( SELECT DISTINCT name, STRFTIME( '%Y', `date` ) AS years FROM `<table1>` AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T1.score = 100 ) AS T3 ) AS T4 GRO... | What are the names of the establishments that met all the required standards for 4 consecutive years? |
<table0>[table_name_75] { <col0>[away_team]:[VARCHAR] <col1>[score]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "139-119" | Who was the away team for the game with a score of 139-119?
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<table0>[table_806] { <col0>[Rank]:[average] <col1>[real]:[Competition] <col2>[finish]:[real] <col3>[Couple]:[text] <col4>[Total]:[real] <col5>[Number]:[dances] <col6>[real]:[Average] } | SELECT MIN( "Number of dances" ) FROM `<table0>` WHERE "Average" = '34.1' | The minimum average number of dancers is 34.1 how many times
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<table0>[prescriptions] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icustay_id]:[text] <col3>[drug_type]:[text] <col4>[drug]:[text] <col5>[formulary_drug_cd]:[text] <col6>[route]:[text] <col7>[drug_dose]:[text] } <table1>[demographic] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[name]:[text]... | SELECT COUNT( DISTINCT `<table1>`.subject_id ) FROM `<table1>` INNER JOIN lab ON `<table1>`.hadm_id = lab.hadm_id WHERE `<table1>`.admission_location = "CLINIC REFERRAL/PREMATURE" AND lab.label = "Reticulocyte Count, Manual" | Provide the number of office admission patients who were ordered a manual reticulocyte count lab test. |
<table0>[table_name_84] { <col0>[cuts_made]:[INTEGER] <col1>[events]:[INTEGER] } | SELECT MIN( `<col0>` ) FROM `<table0>` WHERE `<col1>` < 4 | What are the lowest cuts made that have events less than 4? |
<table0>[transactions] { <col0>[customer_id]:[INT] <col1>[transaction_amount]:[DECIMAL] <col2>[country]:[VARCHAR] } | SELECT AVG( `<col1>` ) FROM `<table0>` WHERE `<col2>` IN ( 'US', 'CA' ); | What is the average transaction amount for all customers from the United States and Canada? |
<table0>[table_name_83] { <col0>[home]:[VARCHAR] <col1>[score]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "13-19" | Who was at Home when the Score was 13-19? |
<table0>[prescriptions] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icustay_id]:[text] <col3>[drug_type]:[text] <col4>[drug]:[text] <col5>[formulary_drug_cd]:[text] <col6>[route]:[text] <col7>[drug_dose]:[text] } <table1>[demographic] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[name]:[text]... | SELECT AVG( `<table1>`.days_stay ) FROM `<table1>` WHERE `<table1>`.diagnosis = "AORTIC INSUFFICIENCY\RE-DO STERNOTOMY; AORTIC VALVE REPLACEMENT " | what is the average days of hospital stay of patients whose primary disease is aortic insufficiency\re-do sternotomy; aortic valve replacement? |
<table0>[demographic] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[name]:[text] <col3>[marital_status]:[text] <col4>[age]:[text] <col5>[dob]:[text] <col6>[gender]:[text] <col7>[language]:[text] <col8>[religion]:[text] <col9>[admission_type]:[text] <col10>[days_stay]:[text] <col11>[insurance]:[text] <col12>... | SELECT COUNT( DISTINCT `<table0>`.subject_id ) FROM `<table0>` INNER JOIN prescriptions ON `<table0>`.hadm_id = prescriptions.hadm_id WHERE `<table0>`.diagnosis = "FEMORAL ARTERY THROMBOSIS" AND prescriptions.drug = "Sodium Chloride 0.9% Flush" | give me the number of patients whose primary disease is femoral artery thrombosis and drug name is sodium chloride 0.9% flush? |
<table0>[table_21321804_3] { <col0>[cfl_team]:[VARCHAR] <col1>[college]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "Nebraska" | What team does the player who went to Nebraska play for?
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<table0>[VRPlatforms] { <col0>[PlatformID]:[INT] <col1>[PlatformName]:[VARCHAR] <col2>[ReleaseDate]:[DATE] <col3>[Price]:[DECIMAL] } | SELECT PlatformName, ROW_NUMBER( ) OVER ( ORDER BY Price DESC ) AS Rank FROM VRPlatforms; | What is the ranking of VR platforms based on price, with the cheapest having the lowest rank and the most expensive having the highest rank? |
<table0>[table_12275654_1] { <col0>[year]:[VARCHAR] <col1>[mens_singles]:[VARCHAR] <col2>[womens_singles]:[VARCHAR] } | SELECT COUNT( `<col0>` ) FROM `<table0>` WHERE `<col1>` = "Niels Christian Kaldau" AND `<col2>` = "Pi Hongyan" | How many times did Niels Christian Kaldau win the men's single and Pi Hongyan win the women's single in the same year? |
<table0>[Bookings_Services] { <col0>[Order_ID]:[INTEGER] <col1>[Product_ID]:[INTEGER] } <table1>[Services] { <col0>[Service_ID]:[INTEGER] <col1>[Service_Type_Code]:[CHAR] <col2>[Workshop_Group_ID]:[INTEGER] <col3>[Product_Description]:[VARCHAR] <col4>[255]:[Product_Name] <col5>[VARCHAR]:[255] <col6>[Product_Price]:[DE... | SELECT Order_Date, COUNT( Order_Date ) FROM `<table11>` | Bar graph to show how many order date from different order date
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<table0>[CoOwnershipProperties] { <col0>[INT]:[PRIMARY] <col1>[KEY]:[city] <col2>[VARCHAR]:[state] <col3>[VARCHAR]:[property_type] } | DROP TABLE CoOwnershipProperties; | Drop the CoOwnershipProperties table |
<table0>[vitalperiodic] { <col0>[vitalperiodicid]:[number] <col1>[patientunitstayid]:[number] <col2>[temperature]:[number] <col3>[sao2]:[number] <col4>[heartrate]:[number] <col5>[respiration]:[number] <col6>[systemicsystolic]:[number] <col7>[systemicdiastolic]:[number] <col8>[systemicmean]:[number] <col9>[observationti... | SELECT `<table9>`.drugstarttime FROM `<table9>` WHERE `<table9>`.`<table5>`unitstayid IN ( SELECT `<table5>`.`<table5>`unitstayid FROM `<table5>` WHERE `<table5>`.`<table5>`healthsystemstayid IN ( SELECT `<table5>`.`<table5>`healthsystemstayid FROM `<table5>` WHERE `<table5>`.uniquepid = '028-23341' ) ) AND DATETIME( `... | last time until 20 months ago when did patient 028-23341 get a prescription? |
<table0>[table_55304] { <col0>[Home]:[team] <col1>[text]:[Home] <col2>[team]:[score] <col3>[text]:[Away] <col4>[team]:[text] <col5>[Away]:[team] <col6>[score]:[text] <col7>[Venue]:[text] <col8>[Crowd]:[real] <col9>[Date]:[text] } | SELECT COUNT( "Crowd" ) FROM `<table0>` WHERE "Venue" = 'mcg' | What is the crowd total at mcg?
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<table0>[table_name_66] { <col0>[runner_up]:[VARCHAR] <col1>[year]:[VARCHAR] <col2>[champion]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` < 2006 AND `<col2>` = "elon" | Which runner-up placed in a year prior to 2006 and whose Champion was Elon?
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<table0>[table_test_14] { <col0>[int]:[bleeding] <col1>[int]:[intra_aortic_balloon_pump_iabp] <col2>[bool]:[systolic_blood_pressure_sbp] <col3>[int]:[haemoglobin] <col4>[float]:[severe_hypertension] <col5>[bool]:[platelets] <col6>[int]:[neutrophil_count] <col7>[int]:[renal_disease] <col8>[bool]:[severe_thrombocytopenia... | SELECT * FROM `<table0>` WHERE severe_hypertension = 1 OR ( systolic_blood_pressure_sbp > 200 OR diastolic_blood_pressure_dbp > 110 ) | severe hypertension ( systolic bp > 200 mm hg or diastolic bp > 110 mm hg ) not controlled on antihypertensive therapy |
<table0>[table_name_9] { } | SELECT 2011 FROM `<table0>` WHERE 2002 = "1r" AND 2009 = "a" | Name the 2011 with 2002 of 1r and 2009 of a |
<table0>[people] { <col0>[People_ID]:[int] <col1>[text]:[Height] <col2>[real]:[Weight] <col3>[real]:[Date_of_Birth] } <table1>[entrepreneur] { <col0>[Entrepreneur_ID]:[int] <col1>[People_ID]:[int] <col2>[Company]:[text] <col3>[Money_Requested]:[real] <col4>[Investor]:[text] } | SELECT Date_of_Birth, COUNT( Date_of_Birth ) FROM `<table1>` AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID WHERE T1.Investor = "Simon Woodroffe" OR T1.Investor = "Peter Jones" ORDER BY COUNT( Date_of_Birth ) DESC | What are the dates of birth of entrepreneurs with investor 'Simon Woodroffe' or 'Peter Jones', and count them by a bar chart, order by the Y in desc.
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<table0>[player] { <col0>[Player_ID]:[int] <col1>[name]:[text] <col2>[Position]:[text] <col3>[Club_ID]:[int] <col4>[Apps]:[real] <col5>[Tries]:[real] <col6>[Goals]:[text] <col7>[Points]:[real] } <table1>[club_rank] { <col0>[Rank]:[real] <col1>[Club_ID]:[int] <col2>[Gold]:[real] <col3>[Silver]:[real] <col4>[Bronze]:[re... | SELECT Country, COUNT( `<col3>` ) FROM `<table4>` GROUP BY `<col3>` | A bar chart for how many competitions for each country. |
<table0>[table_16751596_12] { <col0>[democrat]:[VARCHAR] <col1>[lead_margin]:[VARCHAR] } | SELECT `<col0>` AS :_vivian_davis_figures FROM `<table0>` WHERE `<col1>` = 35 | When the lead margin was 35, what were the Democrat: Vivian Davis Figures? |
<table0>[table_name_21] { <col0>[score]:[VARCHAR] <col1>[venue]:[VARCHAR] <col2>[champion]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "royal liverpool golf club" AND `<col2>` = "willie hunter" | What is the score of the match won by Willie Hunter at the Royal Liverpool Golf Club?
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<table0>[table_44283] { <col0>[College]:[code] <col1>[text]:[Faculty] <col2>[name]:[text] <col3>[Designation]:[text] <col4>[Qualification]:[text] <col5>[Department]:[text] <col6>[Experience]:[text] } | SELECT "Designation" FROM `<table0>` WHERE "Qualification" = 'm.tech ( e.c.e )' | What is the designation for the m.tech (e.c.e) qualification?
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<table0>[demographic] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[name]:[text] <col3>[marital_status]:[text] <col4>[age]:[text] <col5>[dob]:[text] <col6>[gender]:[text] <col7>[language]:[text] <col8>[religion]:[text] <col9>[admission_type]:[text] <col10>[days_stay]:[text] <col11>[insurance]:[text] <col12>... | SELECT `<table3>`.icd9_code, `<table3>`.long_title FROM `<table3>` WHERE `<table3>`.subject_id = "53707" | what is diagnoses icd9 code and diagnoses long title of subject id 53707? |
<table0>[company_sales] { <col0>[sale_id]:[INT] <col1>[company_id]:[INT] <col2>[product_type]:[VARCHAR] <col3>[sale_date]:[DATE] <col4>[price_per_gram]:[DECIMAL] } | SELECT company_id, AVG( `<col4>` ) as avg_price_per_gram FROM `<table0>` WHERE `<col2>` = 'Flower' AND `<col3>` >= '2022-07-01' AND `<col3>` < '2022-10-01' GROUP BY company_id; | What was the average price per gram of cannabis flower sold by each company in Q3 2022? |
<table0>[regulatory_violations] { <col0>[platform]:[VARCHAR] <col1>[255]:[violation_count] <col2>[INT]:[INSERT] } | SELECT SUM( violation_count ) FROM `<table0>` WHERE `<col0>` IN ( 'Binance', 'Kraken' ); | How many regulatory violations have been committed by Binance and Kraken combined? |
<table0>[Players] { <col0>[PlayerID]:[INT] <col1>[VARCHAR]:[100] <col2>[Age]:[INT] <col3>[Country]:[VARCHAR] } <table1>[Countries] { <col0>[Country]:[VARCHAR] <col1>[Continent]:[VARCHAR] } <table2>[EsportsEvents] { <col0>[PlayerID]:[INT] <col1>[EventName]:[VARCHAR] <col2>[100]:[INSERT] } | SELECT C.Continent, MIN( P.Age ) as MinAge, AVG( P.Age ) as AvgAge, MAX( P.Age ) as MaxAge FROM `<table0>` P JOIN Countries C ON P.Country = C.Country JOIN EsportsEvents E ON P.PlayerID = E.PlayerID GROUP BY C.Continent; | Show the minimum, average, and maximum age of players who have participated in esports events, grouped by continent. |
<table0>[CommunityPolicing] { <col0>[INT]:[city] <col1>[VARCHAR]:[month] <col2>[INT]:[event_count] } | SELECT MIN( event_count ) FROM `<table0>` WHERE city = 'Miami'; | What is the minimum number of community policing events held in the city of Miami in a single month? |
<table0>[prescriptions] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icustay_id]:[text] <col3>[drug_type]:[text] <col4>[drug]:[text] <col5>[formulary_drug_cd]:[text] <col6>[route]:[text] <col7>[drug_dose]:[text] } <table1>[demographic] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[name]:[text]... | SELECT COUNT( DISTINCT `<table1>`.subject_id ) FROM `<table1>` INNER JOIN procedures ON `<table1>`.hadm_id = procedures.hadm_id WHERE `<table1>`.insurance = "Private" AND procedures.icd9_code = "4105" | give the number of patients whose insurance is private and procedure icd9 code is 4105.
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<table0>[diagnoses] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icd9_code]:[text] <col3>[short_title]:[text] <col4>[long_title]:[text] } <table1>[lab] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[itemid]:[text] <col3>[charttime]:[text] <col4>[flag]:[text] <col5>[value_unit]:[text] <col6>[lab... | SELECT COUNT( DISTINCT `<table3>`.subject_id ) FROM `<table3>` WHERE `<table3>`.diagnosis = "ATRIAL SEPTAL DEFECT\MITRAL VALVE REPLACEMENT;REPAIR ATRIAL-SEPTAL DEFECT/SDA" AND `<table3>`.dob_year < "2129" | how many patients born before the year 2129 were diagosed with atrial septal defect\mitral valve replacement;repair atrial-septal defect/sda ? |
<table0>[table_203_773] { <col0>[number]:[season] <col1>[number]:[network] <col2>[text]:[play] <col3>[play]:[text] <col4>[color]:[commentator] <col5>[text]:[sideline] <col6>[reporter]:[text] } | SELECT "play-by-play" FROM `<table0>` WHERE id = ( SELECT id FROM `<table0>` WHERE "play-by-play" = 'ray scott' ) - 1 | who did play by play before ray scott ?
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<table0>[diagnoses_icd] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icd9_code]:[text] <col4>[charttime]:[time] } <table1>[d_items] { <col0>[row_id]:[number] <col1>[itemid]:[number] <col2>[label]:[text] <col3>[linksto]:[text] } <table2>[labevents] { <col0>[row_id]:[number] <co... | SELECT SUM( `<table3>`.`<table3>` ) FROM `<table3>` WHERE `<table3>`.hadm_id IN ( SELECT `<table12>`.hadm_id FROM `<table12>` WHERE `<table12>`.subject_id = 21079 ) AND DATETIME( `<table3>`.chargetime, 'start of year' ) = DATETIME( CURRENT_TIME( ), 'start of year', '-0 year' ) | how much did it cost patient 21079 for the hospital stay this year? |
<table0>[Members] { <col0>[MemberID]:[INT] <col1>[Age]:[INT] <col2>[Gender]:[VARCHAR] <col3>[MembershipType]:[VARCHAR] } <table1>[Workouts] { <col0>[WorkoutID]:[INT] <col1>[MemberID]:[INT] <col2>[Duration]:[INT] <col3>[WorkoutType]:[VARCHAR] <col4>[Calories]:[INT] } | SELECT m.MemberID, SUM( w.Calories ) AS TotalCalories FROM `<table0>` m JOIN Workouts w ON m.MemberID = w.MemberID WHERE w.WorkoutType = 'Running' GROUP BY m.MemberID ORDER BY TotalCalories DESC LIMIT 5; | List the top 5 members who have burned the most calories from running workouts. |
<table0>[Visits_Restaurant] { <col0>[StuID]:[INTEGER] <col1>[ResID]:[INTEGER] <col2>[Time]:[TIMESTAMP] <col3>[Spent]:[FLOAT] } <table1>[Type_Of_Restaurant] { <col0>[ResID]:[INTEGER] <col1>[ResTypeID]:[INTEGER] } <table2>[Student] { <col0>[StuID]:[INTEGER] <col1>[LName]:[VARCHAR] <col2>[Fname]:[VARCHAR] <col3>[Age]:[I... | SELECT Fname, COUNT( `<col2>` ) FROM `<table2>` WHERE `<col3>` > 18 AND `<col5>` <> 600 AND `<col4>` = 'F' GROUP BY `<col2>` ORDER BY COUNT( `<col2>` ) DESC | For those female students with age is older than 18 who are not majoring in 600, tell me how many students of different first names using a bar chart, rank by the how many fname in desc please.
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<table0>[d_icd_procedures] { <col0>[row_id]:[number] <col1>[icd9_code]:[text] <col2>[short_title]:[text] <col3>[long_title]:[text] } <table1>[d_labitems] { <col0>[row_id]:[number] <col1>[itemid]:[number] <col2>[label]:[text] } <table2>[chartevents] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]... | SELECT `<table1>`.label FROM `<table1>` WHERE `<table1>`.itemid IN ( SELECT t3.itemid FROM ( SELECT t2.itemid, DENSE_RANK( ) OVER ( ORDER BY COUNT( * ) DESC ) AS c1 FROM ( SELECT admissions.subject_id, `<table8>`.charttime, admissions.hadm_id FROM `<table8>` JOIN admissions ON `<table8>`.hadm_id = admissions.hadm_id WH... | in a year before, what are the top four most frequent lab tests given to patients within the same hospital visit after being diagnosed with poisoning-methadone?
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<table0>[table_name_99] { <col0>[decile]:[INTEGER] <col1>[area]:[VARCHAR] <col2>[roll]:[VARCHAR] } | SELECT SUM( `<col0>` ) FROM `<table0>` WHERE `<col1>` = "normanby" AND `<col2>` < 157 | What is the total decile in the area of Normanby with a roller smaller than 157? |
<table0>[table_78146] { <col0>[Date]:[text] <col1>[Tournament]:[text] <col2>[Location]:[text] <col3>[Purse]:[real] <col4>[Winner]:[text] <col5>[Score]:[text] <col6>[1st]:[Prize] } | SELECT MIN( "Purse( $ )" ) FROM `<table0>` WHERE "Score" = '212 ( -4 )' AND "1st Prize( $ )" < '105,000' | What is the purse for the tournament with a winning score of 212 (-4), and a 1st prize of under $105,000? |
<table0>[diagnoses] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icd9_code]:[text] <col3>[short_title]:[text] <col4>[long_title]:[text] } <table1>[demographic] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[name]:[text] <col3>[marital_status]:[text] <col4>[age]:[text] <col5>[dob]:[text] <col6>[... | SELECT COUNT( DISTINCT `<table1>`.subject_id ) FROM `<table1>` INNER JOIN procedures ON `<table1>`.hadm_id = procedures.hadm_id WHERE `<table1>`.admityear < "2151" AND procedures.icd9_code = "8841" | how many patients whose admission year is less than 2151 and procedure icd9 code is 8841? |
<table0>[t_kc24] { <col0>[ACCOUNT_DASH_DATE]:[time] <col1>[ACCOUNT_DASH_FLG]:[number] <col2>[CASH_PAY]:[number] <col3>[CIVIL_SUBSIDY]:[number] <col4>[CKC102]:[number] <col5>[CLINIC_ID]:[text] <col6>[CLINIC_SLT_DATE]:[time] <col7>[COMP_ID]:[text] <col8>[COM_ACC_PAY]:[number] <col9>[COM_PAY]:[number] <col10>[DATA_ID]:[te... | SELECT `<table3>`.MED_CLINIC_ID FROM `<table3>` WHERE `<table3>`.PERSON_ID = '95153262' AND NOT `<table3>`.MED_CLINIC_ID IN ( SELECT `<table3>`_`<table2>`.MED_CLINIC_ID FROM `<table2>` WHERE `<table2>`.AMOUNT <= 3127.09 ) | 患者95153262在哪几次医疗记录中药品金额高于3127.09元？医疗就诊编号是多少
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<table0>[Policy] { <col0>[PolicyID]:[int] <col1>[PolicyType]:[varchar] <col2>[EffectiveDate]:[date] <col3>[RiskScore]:[int] } <table1>[Claim] { <col0>[ClaimID]:[int] <col1>[PolicyID]:[int] <col2>[ClaimDate]:[date] <col3>[ClaimAmount]:[int] <col4>[State]:[varchar] <col5>[INSERT]:[Policy] <col6>[PolicyID]:[PolicyType] <... | SELECT `<table0>`.`<table0>`Type, `<table0>`.EffectiveDate FROM `<table0>` INNER JOIN Claim ON `<table0>`.`<table0>`ID = Claim.`<table0>`ID WHERE `<table0>`.RiskScore < 700 AND Claim.ClaimDate BETWEEN '2021-01-01' AND '2021-12-31'; | What is the policy type and effective date of policies with a risk score less than 700 and that have a claim in 2021? |
<table0>[table_name_56] { <col0>[total]:[INTEGER] <col1>[gold]:[VARCHAR] <col2>[bronze]:[VARCHAR] } | SELECT SUM( `<col0>` ) FROM `<table0>` WHERE `<col1>` < 1 AND `<col2>` = 3 | Name the sum of total for gold less than 1 and bronze of 3 |
<table0>[Ref_Incident_Type] { <col0>[incident_type_code]:[VARCHAR] <col1>[incident_type_description]:[VARCHAR] } <table1>[Teachers] { <col0>[teacher_id]:[INTEGER] <col1>[address_id]:[INTEGER] <col2>[first_name]:[VARCHAR] <col3>[middle_name]:[VARCHAR] <col4>[last_name]:[VARCHAR] <col5>[gender]:[VARCHAR] <col6>[cell_mob... | SELECT date_address_from, COUNT( `<col2>` ) FROM `<table6>` GROUP BY `<col5>` ORDER BY `<col4>` DESC | Show me about the distribution of date_address_from and the amount of date_address_from , and group by attribute other_details and bin date_address_from by time in a bar chart. |
<table0>[job_history] { <col0>[EMPLOYEE_ID]:[decimal] <col1>[START_DATE]:[date] <col2>[END_DATE]:[date] <col3>[JOB_ID]:[varchar] <col4>[DEPARTMENT_ID]:[decimal] } <table1>[employees] { <col0>[EMPLOYEE_ID]:[decimal] <col1>[FIRST_NAME]:[varchar] <col2>[LAST_NAME]:[varchar] <col3>[EMAIL]:[varchar] <col4>[PHONE_NUMBER]:[v... | SELECT HIRE_DATE, AVG( `<col9>` ) FROM `<table1>` WHERE `<col5>` < '2002-06-21' ORDER BY AVG( `<col9>` ) DESC | For those employees who was hired before 2002-06-21, visualize a bar chart about the distribution of hire_date and the average of manager_id bin hire_date by weekday, sort the average of manager id in desc order. |
<table0>[diagnoses] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icd9_code]:[text] <col3>[short_title]:[text] <col4>[long_title]:[text] } <table1>[lab] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[itemid]:[text] <col3>[charttime]:[text] <col4>[flag]:[text] <col5>[value_unit]:[text] <col6>[lab... | SELECT COUNT( DISTINCT `<table2>`.subject_id ) FROM `<table2>` WHERE `<table2>`.language = "RUSS" AND `<table2>`.discharge_location = "SNF" | how many patients whose language is russ and discharge location is snf? |
<table0>[table_58526] { <col0>[Home]:[team] <col1>[text]:[Home] <col2>[team]:[score] <col3>[text]:[Away] <col4>[team]:[text] <col5>[Away]:[team] <col6>[score]:[text] <col7>[Venue]:[text] <col8>[Crowd]:[real] <col9>[Date]:[text] } | SELECT COUNT( "Crowd" ) FROM `<table0>` WHERE "Home team" = 'melbourne' | What was the crowd attendance when the home team was Melbourne?
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<table0>[labevents] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[itemid]:[number] <col4>[charttime]:[time] <col5>[valuenum]:[number] <col6>[valueuom]:[text] } <table1>[d_items] { <col0>[row_id]:[number] <col1>[itemid]:[number] <col2>[label]:[text] <col3>[linksto]:[text] } <tab... | SELECT `<table15>`.short_title FROM `<table15>` WHERE `<table15>`.icd9_code IN ( SELECT t1.icd9_code FROM ( SELECT `<table8>`.icd9_code, DENSE_RANK( ) OVER ( ORDER BY COUNT( * ) DESC ) AS c1 FROM `<table8>` WHERE `<table8>`.hadm_id IN ( SELECT `<table14>`.hadm_id FROM `<table14>` WHERE `<table14>`.age BETWEEN 30 AND 39... | what were the top five most frequent diagnoses among the patients in the age 30s in 2104?
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<table0>[microlab] { <col0>[microlabid]:[number] <col1>[patientunitstayid]:[number] <col2>[culturesite]:[text] <col3>[organism]:[text] <col4>[culturetakentime]:[time] } <table1>[diagnosis] { <col0>[diagnosisid]:[number] <col1>[patientunitstayid]:[number] <col2>[diagnosisname]:[text] <col3>[diagnosistime]:[time] <col4>... | SELECT t4.`<table1>`name FROM ( SELECT t3.`<table1>`name, DENSE_RANK( ) OVER ( ORDER BY t3.c1 DESC ) AS c2 FROM ( SELECT t2.`<table1>`name, 100 - SUM( CASE WHEN patient.hospitaldischargestatus = 'alive' THEN 1 WHEN STRFTIME( '%j', patient.hospitaldischargetime ) - STRFTIME( '%j', t2.`<table1>`time ) > 3 * 365 THEN 1 EL... | provide me with the top three diagnoses that had the highest three year mortality rate.
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<table0>[green_building_projects] { <col0>[project_id]:[INT] <col1>[project_name]:[VARCHAR] <col2>[255]:[city] <col3>[VARCHAR]:[255] <col4>[country]:[VARCHAR] <col5>[255]:[INSERT] } | SELECT `<col1>` FROM `<table0>` WHERE city = 'Toronto'; | What are the names of all green building projects in the city of Toronto? |
<table0>[diagnosis] { <col0>[diagnosisid]:[number] <col1>[patientunitstayid]:[number] <col2>[diagnosisname]:[text] <col3>[diagnosistime]:[time] <col4>[icd9code]:[text] } <table1>[intakeoutput] { <col0>[intakeoutputid]:[number] <col1>[patientunitstayid]:[number] <col2>[cellpath]:[text] <col3>[celllabel]:[text] <col4>[c... | SELECT SUM( CASE WHEN patient.hospitaldischargestatus = 'alive' THEN 1 WHEN STRFTIME( '%j', patient.hospitaldischargetime ) - STRFTIME( '%j', t2.`<table0>`time ) > 1 * 365 THEN 1 ELSE 0 END ) * 100 / COUNT( * ) FROM ( SELECT t1.uniquepid, t1.`<table0>`time FROM ( SELECT patient.uniquepid, `<table0>`.`<table0>`time FROM... | what is the one year survival rate for a patient with facial bone fracture - maxillary fracture?
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<table0>[table_1353096_1] { <col0>[channel_tv___dt]:[VARCHAR] <col1>[station]:[VARCHAR] } | SELECT channel_tv___dt__ FROM `<table0>` WHERE `<col1>` = "KDFW ++" | What channel has station kdfw ++?
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<table0>[table_1134091_4] { <col0>[vacator]:[VARCHAR] <col1>[date_successor_seated]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "August 21, 1973" | Who was the vacator when the date successor seated was august 21, 1973?
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<table0>[table_2668243_22] { <col0>[party]:[VARCHAR] <col1>[result]:[VARCHAR] <col2>[district]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "Re-elected" AND `<col2>` = "South Carolina 7" | What 'party' was re-elected in district South Carolina 7? |
<table0>[table_name_50] { <col0>[first_party]:[VARCHAR] <col1>[second_member]:[VARCHAR] <col2>[second_party]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "charles robert colvile" AND `<col2>` = "liberal" | Which of the first parties has second member as Charles Robert Colvile, and a liberal second party? |
<table0>[mediatype] { <col0>[mediatypeid]:[number] <col1>[name]:[text] } <table1>[invoiceline] { <col0>[invoicelineid]:[number] <col1>[invoiceid]:[number] <col2>[trackid]:[number] <col3>[unitprice]:[number] <col4>[quantity]:[number] } <table2>[customer] { <col0>[customerid]:[number] <col1>[firstname]:[text] <col2>[la... | SELECT AVG( `<col8>` ) FROM `<table7>` | Find the average unit price for a track. |
<table0>[content_creators] { <col0>[INT]:[name] <col1>[TEXT]:[country] <col2>[TEXT]:[media_literacy_score] <col3>[INT]:[INSERT] } | SELECT name, media_literacy_score FROM `<table0>` WHERE country IN ( 'Brazil', 'Argentina', 'Colombia', 'Chile', 'Mexico' ) ORDER BY media_literacy_score DESC LIMIT 5; | Who are the top 5 content creators with the highest media literacy scores in Latin American countries? |
<table0>[table_name_89] { <col0>[attendance]:[VARCHAR] <col1>[opponent]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "washington redskins" | What attendance has Washington redskins as the opponent?
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<table0>[Parts] { <col0>[part_id]:[INTEGER] <col1>[part_name]:[VARCHAR] <col2>[255]:[chargeable_yn] <col3>[VARCHAR]:[chargeable_amount] <col4>[VARCHAR]:[other_part_details] <col5>[VARCHAR]:[255] } <table1>[Fault_Log_Parts] { <col0>[fault_log_entry_id]:[INTEGER] <col1>[part_fault_id]:[INTEGER] <col2>[fault_status]:[VAR... | SELECT staff_name, COUNT( * ) FROM `<table11>` AS T1 JOIN Engineer_Visits AS T2 ON T1.staff_id = T2.contact_staff_id GROUP BY T1.staff_name ORDER BY `<col1>` DESC | Return a bar chart on how many engineers did each staff contact? List both the contact staff name and number of engineers contacted, and show in descending by the X.
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<table0>[demographic] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[name]:[text] <col3>[marital_status]:[text] <col4>[age]:[text] <col5>[dob]:[text] <col6>[gender]:[text] <col7>[language]:[text] <col8>[religion]:[text] <col9>[admission_type]:[text] <col10>[days_stay]:[text] <col11>[insurance]:[text] <col12>... | SELECT COUNT( DISTINCT `<table0>`.subject_id ) FROM `<table0>` INNER JOIN procedures ON `<table0>`.hadm_id = procedures.hadm_id WHERE `<table0>`.admityear < "2168" AND procedures.long_title = "Endoscopic excision or destruction of lesion or tissue of stomach" | Tell me the number of patients admitted before 2168 who had an endoscopic excision or destruction of lesion or tissue of stomach.
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<table0>[store] { <col0>[store_id]:[number] <col1>[store_name]:[text] <col2>[type]:[text] <col3>[area_size]:[number] <col4>[number_of_product_category]:[number] <col5>[ranking]:[number] } <table1>[store_product] { <col0>[store_id]:[number] <col1>[product_id]:[number] } <table2>[district] { <col0>[district_id]:[number... | SELECT t3.headquartered_city FROM `<table0>` AS t1 JOIN `<table0>`_district AS t2 ON t1.`<table0>`_id = t2.`<table0>`_id JOIN district AS t3 ON t2.district_id = t3.district_id GROUP BY t3.headquartered_city ORDER BY COUNT( * ) DESC LIMIT 1 | What is the city with the most number of flagship stores? |
<table0>[table_name_19] { <col0>[rank]:[INTEGER] <col1>[nation]:[VARCHAR] <col2>[gold]:[VARCHAR] } | SELECT MAX( `<col0>` ) FROM `<table0>` WHERE `<col1>` = "italy" AND `<col2>` > 1 | what is the highest rank for italy when gold is more than 1?
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<table0>[table_204_481] { <col0>[number]:[poll] <col1>[source]:[text] <col2>[date]:[nadministered] <col3>[text]:[sample] <col4>[nsize]:[number] <col5>[margin]:[nerror] <col6>[text]:[andrew] <col7>[ncuomo]:[text] <col8>[rob]:[nastorino] <col9>[text]:[text] <col10>[undecided]:[text] } | SELECT "date( s )\nadministered" FROM `<table0>` WHERE "rob\nastorino ( r )" > 25 | dates of only poll in which astorino polled better than 25 %
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<table0>[person_info] { <col0>[RYBH]:[text] <col1>[XBDM]:[number] <col2>[XBMC]:[text] <col3>[text]:[CSRQ] <col4>[time]:[CSD] <col5>[text]:[MZDM] <col6>[text]:[MZMC] <col7>[text]:[GJDM] <col8>[text]:[GJMC] <col9>[text]:[JGDM] <col10>[text]:[JGMC] <col11>[text]:[XLDM] <col12>[text]:[XLMC] <col13>[text]:[ZYLBDM] <col14>[t... | SELECT SQKS, `<col20>` FROM `<table5>` WHERE `<col3>` = '89851265565' | 知不知道申请检验报告单89851265565的科室名称是啥？编码呢
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<table0>[semester] { <col0>[semester_id]:[int] } <table1>[gsi] { <col0>[course_offering_id]:[int] <col1>[student_id]:[int] } <table2>[campus_job_id] { <col0>[int]:[student_id] <col1>[int]:[location] } <table3>[comment_instructor] { <col0>[instructor_id]:[int] <col1>[student_id]:[int] <col2>[score]:[int] <col3>[comme... | SELECT DISTINCT course.department, course.name, course.number FROM course, course_offering, program, program_course, semester WHERE course.course_id = course_offering.course_id AND program_course.category LIKE '%PreMajor%' AND program_course.course_id = course.course_id AND program.name LIKE '%CS-LSA%' AND program.prog... | What are the classes that can be taken as PreMajor next semester ? |
<table0>[table_name_84] { <col0>[forfeits]:[VARCHAR] <col1>[wins]:[VARCHAR] <col2>[losses]:[VARCHAR] } | SELECT COUNT( `<col0>` ) FROM `<table0>` WHERE `<col1>` < 8 AND `<col2>` > 16 | How many Forfeits have Wins smaller than 8, and Losses larger than 16? |
<table0>[table_name_18] { <col0>[new_entries_this_round]:[VARCHAR] <col1>[round]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "semi-finals" | What is the New entries this round when the round is the semi-finals? |
<table0>[table_77989] { <col0>[Date]:[text] <col1>[Ship]:[text] <col2>[Type]:[text] <col3>[Nationality]:[text] <col4>[Tonnage]:[GRT] } | SELECT MAX( "Tonnage GRT" ) FROM `<table0>` WHERE "Date" = '16 jan 16' | what is the most tonnage grt of any ship sunk or captured on 16 jan 16?
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<table0>[table_69204] { <col0>[2003]:[text] <col1>[2004]:[text] <col2>[2007]:[text] <col3>[2009]:[text] <col4>[2010]:[text] <col5>[2011]:[text] <col6>[2012]:[text] } | SELECT "2003/ 04" FROM `<table0>` WHERE "2012/ 13" = '3r' | What was held in 2003/04 when 3R was in 2012?
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<table0>[table_name_22] { <col0>[power]:[VARCHAR] <col1>[model]:[VARCHAR] <col2>[displacement]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "1500" AND `<col2>` = "1490cc" | How much power does the 1500 model have with a displacement of 1490cc?
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<table0>[table_24212608_1] { <col0>[viewers__millions]:[VARCHAR] <col1>[broadcast_date]:[VARCHAR] } | SELECT viewers__millions_ FROM `<table0>` WHERE `<col1>` = 2010 | What was the number of viewers in millions for the broadcast from 2010? |
<table0>[diagnoses] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icd9_code]:[text] <col3>[short_title]:[text] <col4>[long_title]:[text] } <table1>[lab] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[itemid]:[text] <col3>[charttime]:[text] <col4>[flag]:[text] <col5>[value_unit]:[text] <col6>[lab... | SELECT COUNT( DISTINCT `<table2>`.subject_id ) FROM `<table2>` INNER JOIN prescriptions ON `<table2>`.hadm_id = prescriptions.hadm_id WHERE prescriptions.drug = "NEO*IV*AMPicillin Sodium" | find out the number of patients who have been prescribed neo*iv*ampicillin sodium.
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<table0>[prescriptions] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icustay_id]:[text] <col3>[drug_type]:[text] <col4>[drug]:[text] <col5>[formulary_drug_cd]:[text] <col6>[route]:[text] <col7>[drug_dose]:[text] } <table1>[procedures] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icd9_code]:[t... | SELECT MAX( `<table3>`.age ) FROM `<table3>` WHERE `<table3>`.insurance = "Self Pay" AND `<table3>`.diagnosis = "STEMI" | what is maximum age of patients whose insurance is self pay and primary disease is stemi?
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<table0>[airline] { <col0>[airline_code]:[varchar] <col1>[airline_name]:[text] <col2>[note]:[text] } <table1>[aircraft] { <col0>[aircraft_code]:[varchar] <col1>[aircraft_description]:[varchar] <col2>[manufacturer]:[varchar] <col3>[basic_type]:[varchar] <col4>[engines]:[int] <col5>[propulsion]:[varchar] <col6>[wide_bod... | SELECT DISTINCT flight.flight_id FROM `<table11>` AS AIRPORT_SERVICE_0, `<table11>` AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DALLAS' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'HOUSTON' AND fl... | list flights from DALLAS to HOUSTON
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<table0>[table_28478] { <col0>[Institution]:[text] <col1>[Location]:[text] <col2>[Founded]:[real] <col3>[Type]:[text] <col4>[Enrollment]:[real] <col5>[Joined]:[text] <col6>[Nickname]:[text] <col7>[Primary]:[Conference] <col8>[joining]:[CSFL] } | SELECT "Primary Conference when `<col8>` the CSFL" FROM `<table0>` WHERE "Joined" = '2004-05' | what was the primary conference when joining the csfl for the institution that joined in 2004-05?
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<table0>[time_zone] { <col0>[time_zone_code]:[text] <col1>[time_zone_name]:[text] <col2>[hours_from_gmt]:[int] } <table1>[code_description] { <col0>[code]:[varchar] <col1>[description]:[text] } <table2>[fare] { <col0>[fare_id]:[int] <col1>[from_airport]:[varchar] <col2>[to_airport]:[varchar] <col3>[fare_basis_code]:[... | SELECT DISTINCT flight.flight_id FROM `<table13>` AS AIRPORT_SERVICE_0, `<table13>` AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE ( CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'SAN FRANCISCO' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'PHILAD... | list all UA flights from PHILADELPHIA to SAN FRANCISCO
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<table0>[EsportsEvents] { <col0>[EventID]:[INT] <col1>[Players]:[INT] <col2>[UsesVR]:[BOOLEAN] } | SELECT SUM( `<col1>` ) FROM `<table0>` WHERE `<col2>` = TRUE; | How many players use VR technology in esports events? |
<table0>[table_name_76] { <col0>[total]:[VARCHAR] <col1>[nation]:[VARCHAR] <col2>[rank]:[VARCHAR] } | SELECT COUNT( `<col0>` ) FROM `<table0>` WHERE `<col1>` = "austria" AND `<col2>` > 4 | What is the total medals Austria and those with larger than rank 4 have?
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<table0>[actors] { <col0>[INT]:[name] <col1>[VARCHAR]:[255] <col2>[gender]:[VARCHAR] } <table1>[movies_actors] { <col0>[movie_id]:[INT] <col1>[actor_id]:[INT] <col2>[INSERT]:[actors] <col3>[name]:[gender] <col4>[VALUES]:[Actor1] <col5>[Male]:[Actor2] <col6>[Male]:[Actor3] <col7>[Female]:[Actor4] <col8>[Male]:[INSERT] ... | SELECT name, COUNT( * ) as appearances FROM `<table0>` INNER JOIN movies_`<table0>` ON `<table0>`.id = movies_`<table0>`.actor_id GROUP BY name ORDER BY appearances DESC LIMIT 3; | Who are the top 3 actors with the highest number of appearances in movies? |
<table0>[region] { <col0>[Region_ID]:[int] <col1>[Region_name]:[text] <col2>[Date]:[text] <col3>[Label]:[text] <col4>[Format]:[text] <col5>[Catalogue]:[text] } <table1>[party_events] { <col0>[Event_ID]:[int] <col1>[Event_Name]:[text] <col2>[Party_ID]:[int] <col3>[Member_in_charge_ID]:[int] } <table2>[party] { <col0>[... | SELECT Party_name, COUNT( * ) FROM `<table1>` AS T1 JOIN party AS T2 ON T1.Party_ID = T2.Party_ID GROUP BY T1.Party_ID ORDER BY COUNT( * ) | Return a bar chart on how many events are there for each party?, could you display by the Y-axis in asc? |
<table0>[TagSynonyms] { <col0>[number]:[SourceTagName] <col1>[text]:[TargetTagName] <col2>[text]:[CreationDate] <col3>[time]:[OwnerUserId] <col4>[number]:[AutoRenameCount] <col5>[number]:[LastAutoRename] <col6>[time]:[Score] <col7>[number]:[ApprovedByUserId] <col8>[number]:[ApprovalDate] } <table1>[ReviewTaskStates] {... | SELECT PostId AS "post_link", SUM( CASE WHEN `<table4>`TypeId = 10 THEN 1 ELSE 0 END ) AS closed, SUM( CASE WHEN `<table4>`TypeId = 11 THEN 1 ELSE 0 END ) AS reopened, SUM( CASE WHEN `<table4>`TypeId = 10 THEN 1 ELSE 0 END ) - SUM( CASE WHEN `<table4>`TypeId = 11 THEN 1 ELSE 0 END ) AS currentlyclosed FROM `<table4>` W... | What question has the most cycles of Close/Reopen?. http://meta.stackexchange.com/questions/277175/what-question-has-the-most-cycles-of-close-reopen |
<table0>[ReviewTaskTypes] { <col0>[number]:[text] <col1>[Description]:[text] } <table1>[CloseReasonTypes] { <col0>[number]:[text] <col1>[Description]:[text] } <table2>[PostNotices] { <col0>[number]:[PostId] <col1>[number]:[PostNoticeTypeId] <col2>[number]:[CreationDate] <col3>[time]:[DeletionDate] <col4>[time]:[Expir... | SELECT t.TagName, YEAR( p.CreationDate ), MONTH( p.CreationDate ), COUNT( t.TagName ) AS d FROM `<table12>` AS t INNER JOIN Post`<table12>` AS pt ON t.Id = pt.TagId INNER JOIN Posts AS P ON p.Id = pt.PostId WHERE t.TagName = '##TagNam##' AND NOT p.ClosedDate IS NULL GROUP BY YEAR( p.CreationDate ), MONTH( p.CreationDat... | Asked Questions per month for a given Tag.
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