schema stringlengths 20 14.6k | query stringlengths 17 2.58k | question stringlengths 8 1.06k |
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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>`.days_stay > "10" AND lab.fluid = "Pleural" | what number of patients with lab test fluid as pleural stayed in the hospital for more than 10 days?
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<table0>[VoteTypes] { <col0>[number]:[text] } <table1>[CloseReasonTypes] { <col0>[number]:[text] <col1>[Description]:[text] } <table2>[FlagTypes] { <col0>[number]:[text] <col1>[Description]:[text] } <table3>[PendingFlags] { <col0>[number]:[FlagTypeId] <col1>[number]:[PostId] <col2>[number]:[CreationDate] <col3>[time... | SELECT 'Aviation SE User Count', COUNT( * ) FROM "stackexchange.aviation".Users AS fu UNION ALL SELECT 'Users of both SO and AviationSE', COUNT( * ) FROM "stackexchange.aviation".Users AS fu JOIN Users AS u ON fu.AccountId = u.AccountId | Site users overlap with SO. Original inspiration: http://data.stackexchange.com/stackoverflow/query/168043/accountid-comparison |
<table0>[diagnosis] { <col0>[diagnosisid]:[number] <col1>[patientunitstayid]:[number] <col2>[diagnosisname]:[text] <col3>[diagnosistime]:[time] <col4>[icd9code]:[text] } <table1>[microlab] { <col0>[microlabid]:[number] <col1>[patientunitstayid]:[number] <col2>[culturesite]:[text] <col3>[organism]:[text] <col4>[culture... | SELECT 24 * ( STRFTIME( '%j', CURRENT_TIME( ) ) - STRFTIME( '%j', `<table9>`.`<table9>`resulttime ) ) FROM `<table9>` WHERE `<table9>`.`<table2>`unitstayid IN ( SELECT `<table2>`.`<table2>`unitstayid FROM `<table2>` WHERE `<table2>`.`<table2>`healthsystemstayid IN ( SELECT `<table2>`.`<table2>`healthsystemstayid FROM `... | how many hours have elapsed since the first time patient 030-52327 during their current hospital visit received a lab test for hct?
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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 COUNT( DISTINCT `<table4>`.subject_id ) FROM `<table4>` INNER JOIN lab ON `<table4>`.hadm_id = lab.hadm_id WHERE `<table4>`.marital_status = "WIDOWED" AND lab.fluid = "Cerebrospinal Fluid ( CSF )" | count the number of patients whose marital status is widowed and lab test fluid is cerebrospinal fluid (csf)?
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<table0>[table_11596] { <col0>[Games]:[played] <col1>[real]:[Drawn] <col2>[real]:[Lost] <col3>[real]:[Goals] <col4>[real]:[Goals] <col5>[real]:[Goals] <col6>[difference]:[text] } | SELECT COUNT( "Goals for" ) FROM `<table0>` WHERE "Games played" > '1' AND "Drawn*" > '1' AND "Lost" < '19' AND "Goals against" > '3' | What is the total number of goals that Malaysia scored where they played more than 1 game, had more than 1 draw, lost fewer than 19 games, and had more than 3 goals scored against them? |
<table0>[t_kc22] { <col0>[number]:[CHA_ITEM_LEV] <col1>[number]:[DATA_ID] <col2>[text]:[DIRE_TYPE] <col3>[number]:[DOSE_FORM] <col4>[text]:[DOSE_UNIT] <col5>[text]:[EACH_DOSAGE] <col6>[text]:[EXP_OCC_DATE] <col7>[time]:[FLX_MED_ORG_ID] <col8>[text]:[FXBZ] <col9>[number]:[HOSP_DOC_CD] <col10>[text]:[HOSP_DOC_NM] <col11>... | SELECT SUM( t_kc22.AMOUNT ) FROM `<table3>` JOIN t_kc22 JOIN `<table3>`_t_kc22 ON `<table3>`.MED_CLINIC_ID = `<table3>`_t_kc22.MED_CLINIC_ID AND `<table3>`_t_kc22.MED_EXP_DET_ID = t_kc22.MED_EXP_DET_ID WHERE `<table3>`.PERSON_ID = '92950798' AND `<table3>`.CLINIC_TYPE = '门诊' AND t_kc22.STA_DATE BETWEEN '2017-02-25' AND... | 从2017年2月25日到2017年11月19日内参保人92950798门诊西药费一共是多少？
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<table0>[management] { <col0>[department_ID]:[int] <col1>[head_ID]:[int] <col2>[temporary_acting]:[text] } <table1>[head] { <col0>[head_ID]:[int] <col1>[name]:[text] <col2>[born_state]:[text] <col3>[age]:[real] } <table2>[department] { <col0>[Department_ID]:[int] <col1>[text]:[Creation] <col2>[text]:[Ranking] <col3>[... | SELECT Creation, AVG( Budget_in_Billions ) FROM `<table2>` GROUP BY Creation ORDER BY Creation DESC | Show average of budget in different year and group by department creation time with a line chart, and I want to sort in desc by the Creation.
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<table0>[table_203_390] { <col0>[number]:[year] <col1>[number]:[venue] <col2>[text]:[winners] <col3>[text]:[runner] <col4>[text]:[3rd] <col5>[place]:[text] } | SELECT "winners" FROM `<table0>` GROUP BY "winners" ORDER BY COUNT( * ) DESC LIMIT 1 | from 2005-2012 , in the team speedway junior world championship , how many more first place wins than all other teams put together ? |
<table0>[PostNotices] { <col0>[number]:[PostId] <col1>[number]:[PostNoticeTypeId] <col2>[number]:[CreationDate] <col3>[time]:[DeletionDate] <col4>[time]:[ExpiryDate] <col5>[time]:[Body] <col6>[text]:[OwnerUserId] <col7>[number]:[DeletionUserId] } <table1>[PostTypes] { <col0>[number]:[text] } <table2>[PostTags] { <col... | SELECT u.Id AS "user_link", u.Reputation FROM `<table11>` AS u WHERE u.Id NOT IN ( SELECT b.UserId FROM `<table10>` AS b INNER JOIN Tags AS t ON t.TagName = b.Name GROUP BY b.UserId, t.Id HAVING COUNT( * ) = 3 ) ORDER BY u.Reputation DESC | Maxium reputation without a gold badge.
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<table0>[exists] { <col0>[smart_city_projects]:[project_id] <col1>[INT]:[PRIMARY] <col2>[KEY]:[project_name] <col3>[VARCHAR]:[255] <col4>[start_date]:[DATE] <col5>[end_date]:[DATE] <col6>[INSERT]:[smart_city_projects] <col7>[project_id]:[project_name] <col8>[start_date]:[end_date] <col9>[VALUES]:[Smart] <col10>[Traffic... | SELECT scp.project_id, scp.project_name, scp.start_date, scp.end_date FROM smart_city_projects scp JOIN carbon_offset_projects cop ON scp.start_date <= cop.end_date AND scp.end_date >= cop.start_date; | What are the smart city projects and their details that overlap with any carbon offset project in terms of start and end dates? |
<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 `<table0>`.expire_flag FROM `<table0>` WHERE `<table0>`.subject_id = "3343" | what is the death status of subject id 3343?
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<table0>[table_204_490] { <col0>[number]:[position] <col1>[text]:[name] <col2>[text]:[height] <col3>[text]:[weight] <col4>[text]:[birthdate] <col5>[text]:[birthplace] <col6>[text]:[2009] <col7>[team]:[text] } | SELECT COUNT( "name" ) FROM `<table0>` | how many total of names are listed ?
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<table0>[vessels] { <col0>[INT]:[PRIMARY] <col1>[KEY]:[name] <col2>[VARCHAR]:[255] <col3>[type]:[VARCHAR] <col4>[255]:[year] } | INSERT INTO vessels ( id, name, type, year ) VALUES ( 1, 'MV Horizon', 'Container Ship', 2010 ); | Insert a new vessel into the "vessels" table |
<table0>[keyphrase] { <col0>[keyphraseid]:[int] <col1>[keyphrasename]:[varchar] } <table1>[field] { <col0>[fieldid]:[int] } <table2>[author] { <col0>[authorid]:[int] <col1>[authorname]:[varchar] } <table3>[paperkeyphrase] { <col0>[paperid]:[int] <col1>[keyphraseid]:[int] } <table4>[paper] { <col0>[paperid]:[int] <c... | SELECT DISTINCT COUNT( paper.paperid ) FROM paper, venue WHERE paper.year = 2016 AND venue.venueid = paper.venueid AND venue.venuename = 'sigmod' | How many papers were accepted at sigmod 2016 ? |
<table0>[management] { <col0>[department_ID]:[int] <col1>[head_ID]:[int] <col2>[temporary_acting]:[text] } <table1>[department] { <col0>[Department_ID]:[int] <col1>[text]:[Creation] <col2>[text]:[Ranking] <col3>[int]:[Budget_in_Billions] <col4>[real]:[Num_Employees] } <table2>[head] { <col0>[head_ID]:[int] <col1>[nam... | SELECT Creation, SUM( Budget_in_Billions ) FROM `<table1>` ORDER BY Creation DESC | Show sum of budget in each year and bin creation time by year in a line chart, rank by the X from high to low.
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<table0>[table_name_7] { <col0>[pick]:[INTEGER] <col1>[round]:[VARCHAR] <col2>[player]:[VARCHAR] } | SELECT AVG( `<col0>` ) FROM `<table0>` WHERE `<col1>` < 6 AND `<col2>` = "kenneth green" | What is the average Pick when the round was less than 6 for kenneth green? |
<table0>[table_name_72] { <col0>[avg_g]:[VARCHAR] <col1>[yards]:[VARCHAR] <col2>[long]:[VARCHAR] <col3>[gp_gs]:[VARCHAR] } | SELECT COUNT( `<col0>` ) FROM `<table0>` WHERE `<col2>` = 50 AND `<col3>` = "3-0" AND `<col1>` > 926 | What is the total number of avg/g with a long of 50, a gp-gs of 3-0, and 926 yards? |
<table0>[PostHistory] { <col0>[number]:[PostHistoryTypeId] <col1>[number]:[PostId] <col2>[number]:[RevisionGUID] <col3>[CreationDate]:[time] <col4>[UserId]:[number] <col5>[UserDisplayName]:[text] <col6>[Comment]:[text] <col7>[Text]:[text] <col8>[ContentLicense]:[text] } <table1>[Tags] { <col0>[number]:[TagName] <col1>... | SELECT COUNT( Id ) AS c, AVG( UpVotes ), AVG( DownVotes ), Location FROM `<table8>` WHERE Reputation > 14 GROUP BY Location ORDER BY c DESC | Average upvotes and downvotes, number of 'active' users by location. Any user who has more than 14 reputation is considered 'active
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<table0>[cost] { <col0>[costid]:[number] <col1>[uniquepid]:[text] <col2>[patienthealthsystemstayid]:[number] <col3>[eventtype]:[text] <col4>[eventid]:[number] <col5>[chargetime]:[time] } <table1>[treatment] { <col0>[treatmentid]:[number] <col1>[patientunitstayid]:[number] <col2>[treatmentname]:[text] <col3>[treatmentt... | SELECT t3.`<table8>`name FROM ( SELECT t2.`<table8>`name, DENSE_RANK( ) OVER ( ORDER BY COUNT( * ) DESC ) AS c1 FROM ( SELECT patient.uniquepid, `<table1>`.`<table1>`time FROM `<table1>` JOIN patient ON `<table1>`.patientunitstayid = patient.patientunitstayid WHERE `<table1>`.`<table1>`name = 'oral hypoglycemic adminis... | what are the five most frequently given laboratory tests for patients who have previously received oral hypoglycemic administration within 2 months until 1 year ago?
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<table0>[election] { <col0>[Election_ID]:[int] <col1>[Counties_Represented]:[text] <col2>[District]:[int] <col3>[Delegate]:[text] <col4>[Party]:[int] <col5>[First_Elected]:[real] <col6>[Committee]:[text] } <table1>[county] { <col0>[County_Id]:[int] <col1>[County_name]:[text] <col2>[Population]:[real] <col3>[Zip_code]:... | SELECT Comptroller, COUNT( Comptroller ) FROM `<table0>` AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID WHERE T1.District = 1 OR T1.District = 2 GROUP BY Comptroller | Who were the comptrollers of the parties associated with the delegates from district 1 or district 2, and count them by a bar chart |
<table0>[CREATE] { <col0>[SCHEMA]:[exists] <col1>[startups]:[USE] } <table1>[exists] { <col0>[budgets]:[INT] <col1>[startup_id]:[INT] <col2>[budget]:[DECIMAL] <col3>[INSERT]:[budgets] <col4>[startup_id]:[budget] <col5>[VALUES]:[20000000] <col6>[15000000]:[12000000] } | SELECT MAX( budget ) FROM startups.budgets WHERE startup_id IN ( SELECT id FROM startups.startups WHERE country = 'USA' ); | What is the maximum budget for a biotech startup in the USA? |
<table0>[Has_Allergy] { <col0>[stuid]:[VARCHAR] <col1>[Allergy]:[VARCHAR] } <table1>[Student] { <col0>[fname]:[VARCHAR] <col1>[city_code]:[VARCHAR] <col2>[stuid]:[VARCHAR] } | SELECT DISTINCT T1.fname, T1.city_code FROM `<table1>` AS T1 JOIN Has_Allergy AS T2 ON T1.stuid = T2.stuid WHERE T2.Allergy = "Milk" OR T2.Allergy = "Cat" | Find the different first names and cities of the students who have allergy to milk or cat. |
<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 `<table0>`.admission_location FROM `<table0>` WHERE `<table0>`.subject_id = "3343" | what is the admission location of subject id 3343? |
<table0>[student] { <col0>[stuid]:[number] <col1>[lname]:[text] <col2>[fname]:[text] <col3>[age]:[number] <col4>[sex]:[text] <col5>[major]:[number] <col6>[advisor]:[number] <col7>[city_code]:[text] } <table1>[allergy_type] { <col0>[allergy]:[text] <col1>[allergytype]:[text] } <table2>[has_allergy] { <col0>[stuid]:[nu... | SELECT `<col1>` FROM `<table1>` GROUP BY `<col1>` ORDER BY COUNT( * ) LIMIT 1 | Which allergy type has least number of allergies?
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<table0>[Artists] { <col0>[ArtistID]:[INT] <col1>[PRIMARY]:[KEY] <col2>[VARCHAR]:[255] <col3>[Nationality]:[VARCHAR] } <table1>[Artworks] { <col0>[ArtworkID]:[INT] <col1>[PRIMARY]:[KEY] <col2>[Title]:[VARCHAR] <col3>[255]:[ArtistID] <col4>[INT]:[Year] <col5>[INT]:[SalePrice] } <table2>[Sales] { <col0>[SaleID]:[INT] <... | SELECT AVG( Artworks.SalePrice ) AS AverageSalePrice FROM `<table0>` INNER JOIN Artworks ON `<table0>`.ArtistID = Artworks.ArtistID INNER JOIN Sales ON Artworks.ArtworkID = Sales.ArtworkID WHERE `<table0>`.Nationality = 'African'; | What is the average sale price of artworks by African artists? |
<table0>[HealthcareProviders] { <col0>[INT]:[TEXT] <col1>[Location]:[TEXT] <col2>[Specialty]:[TEXT] } | SELECT COUNT( * ) FROM `<table0>` WHERE `<col1>` LIKE 'City%'; | What is the total number of healthcare providers in urban areas? |
<table0>[table_name_71] { <col0>[seasons]:[VARCHAR] <col1>[coach]:[VARCHAR] } | SELECT COUNT( `<col0>` ) FROM `<table0>` WHERE `<col1>` = "john mcfadden" | How many seasons has John Mcfadden coached? |
<table0>[table_name_40] { <col0>[district]:[VARCHAR] <col1>[place_of_birth]:[VARCHAR] <col2>[delegate]:[VARCHAR] } | SELECT COUNT( `<col0>` ) FROM `<table0>` WHERE `<col1>` = "baltimore city" AND `<col2>` = "cheryl glenn" | How many districts in Baltimore City does Cheryl Glenn dictate? |
<table0>[WorkplaceSafety] { <col0>[INT]:[month] <col1>[VARCHAR]:[incidents] <col2>[INT]:[INSERT] } | SELECT month, COUNT( * ) as incidents FROM `<table0>` GROUP BY month; | List the number of workplace safety incidents for each month in the 'WorkplaceSafety' table |
<table0>[ReviewRejectionReasons] { <col0>[number]:[text] <col1>[Description]:[text] <col2>[PostTypeId]:[number] } <table1>[Badges] { <col0>[number]:[UserId] <col1>[number]:[text] <col2>[Date]:[time] <col3>[Class]:[number] <col4>[TagBased]:[boolean] } <table2>[Posts] { <col0>[number]:[PostTypeId] <col1>[number]:[Accep... | SELECT TIME_TO_STR( `<table2>`.CreationDate, '%Y' ) AS Year, TIME_TO_STR( `<table2>`.CreationDate, '%m' ) AS Month, SUM( Score ) AS SUM_SCORE, COUNT( * ) AS COUNT_SCORE, AVG( CAST( Score AS FLOAT( 12, 2 ) ) ) AS AVG_SCORE, SUM( CASE WHEN PostTypeId < 3 THEN 1 ELSE 0 END ) AS QnA FROM `<table2>` WHERE PostTypeId < 3 GRO... | Average Score for Questions and Answers by Month Since 2008.
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<table0>[investment_portfolios] { <col0>[portfolio_id]:[INT] <col1>[client_id]:[INT] <col2>[portfolio_date]:[DATE] <col3>[region]:[VARCHAR] } | SELECT region, COUNT( * ) as num_portfolios FROM `<table0>` WHERE `<col2>` >= '2021-01-01' AND `<col2>` < '2021-04-01' GROUP BY region; | How many investment portfolios were opened in Q1 2021, by region? |
<table0>[Satisfaction] { <col0>[Quarter]:[VARCHAR] <col1>[Category]:[VARCHAR] <col2>[Score]:[INT] } | SELECT AVG( `<col2>` ) FROM `<table0>` WHERE `<col0>` = 'Q1 2020' AND `<col1>` = 'Public Transportation'; | What was the average citizen satisfaction score for public transportation in Q1 2020? |
<table0>[city] { <col0>[City_ID]:[int] <col1>[Official_Name]:[text] <col2>[Status]:[text] <col3>[Area_km_2]:[real] <col4>[Population]:[real] <col5>[Census_Ranking]:[text] } <table1>[farm_competition] { <col0>[Competition_ID]:[int] <col1>[Year]:[int] <col2>[Theme]:[text] <col3>[Host_city_ID]:[int] <col4>[Hosts]:[text] ... | SELECT Official_Name, COUNT( `<col1>` ) FROM `<table0>` AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_`<table0>`_ID GROUP BY `<col1>` ORDER BY COUNT( `<col1>` ) | Show the number of competitions held in each city with a bar chart, and I want to list by the how many official name in asc. |
<table0>[table_204_741] { <col0>[number]:[rank] <col1>[number]:[name] <col2>[text]:[nationality] <col3>[text]:[text] <col4>[text]:[text] <col5>[text]:[notes] } | SELECT "rank" FROM `<table0>` WHERE "rank" IN ( 11, 6 ) GROUP BY "rank" ORDER BY COUNT( "name" ) DESC LIMIT 1 | were there more names ranked 11th or 6th ? |
<table0>[table_name_7] { <col0>[a_league]:[VARCHAR] <col1>[saves]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = 39 | What is the A-league with 39 saves?
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<table0>[CUSTOMER_INTERESTS] { <col0>[city]:[VARCHAR] <col1>[interest]:[VARCHAR] } | SELECT ( COUNT( * ) * 100.0 / ( SELECT COUNT( * ) FROM `<table0>` WHERE `<col0>` = 'Seoul' ) ) FROM `<table0>` WHERE `<col0>` = 'Seoul' AND `<col1>` = 'Sustainable Fashion'; | What percentage of customers in Seoul are interested in sustainable fashion? |
<table0>[Products] { <col0>[Code]:[INTEGER] <col1>[VARCHAR]:[255] <col2>[Price]:[DECIMAL] <col3>[Manufacturer]:[INTEGER] } <table1>[Manufacturers] { <col0>[Code]:[INTEGER] <col1>[VARCHAR]:[255] <col2>[Headquarter]:[VARCHAR] <col3>[255]:[Founder] <col4>[VARCHAR]:[255] <col5>[Revenue]:[REAL] } | SELECT Name, `<col0>` FROM `<table0>` WHERE `<col2>` BETWEEN 60 AND 120 ORDER BY `<col0>` | For those products with a price between 60 and 120, return a bar chart about the distribution of name and code , I want to sort from low to high by the Y. |
<table0>[table_13619135_5] { <col0>[location_attendance]:[VARCHAR] <col1>[team]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "Portland" | What was the location and attendance of the game against Portland? |
<table0>[icustays] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[first_careunit]:[text] <col5>[last_careunit]:[text] <col6>[first_wardid]:[number] <col7>[last_wardid]:[number] <col8>[intime]:[time] <col9>[outtime]:[time] } <table1>[d_labitems] { <col0... | SELECT `<table16>`.short_title FROM `<table16>` WHERE `<table16>`.icd9_code IN ( SELECT t1.icd9_code FROM ( SELECT `<table12>`.icd9_code, DENSE_RANK( ) OVER ( ORDER BY COUNT( * ) DESC ) AS c1 FROM `<table12>` WHERE `<table12>`.hadm_id IN ( SELECT `<table5>`.hadm_id FROM `<table5>` WHERE `<table5>`.age BETWEEN 20 AND 29... | what is the five most common procedure given to patients with age 20s the last year? |
<table0>[City] { <col0>[integer]:[text] <col1>[CountryCode]:[text] <col2>[District]:[text] <col3>[Population]:[integer] } <table1>[Country] { <col0>[Code]:[text] <col1>[text]:[Continent] <col2>[text]:[Region] <col3>[text]:[SurfaceArea] <col4>[real]:[IndepYear] <col5>[integer]:[Population] <col6>[integer]:[LifeExpectan... | SELECT T1.Language FROM `<table2>` AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code WHERE T2.HeadOfState = 'Pierre Buyoya' | Provide the language used in the country ruled by Pierre Buyoya. |
<table0>[developers] { <col0>[INT]:[name] <col1>[VARCHAR]:[salary] <col2>[FLOAT]:[project] } | INSERT INTO developers ( id, name, salary, project ) VALUES ( 3, 'Charlie', 90000.0, 'Technology Accessibility' ); | Insert a new record for a developer who works on a technology accessibility project |
<table0>[table_name_71] { <col0>[area]:[VARCHAR] <col1>[name]:[VARCHAR] <col2>[years]:[VARCHAR] <col3>[decile]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col2>` = "1–8" AND `<col3>` < 7 AND `<col1>` = "waikari school" | Which area has Years of 1–8, a Decile smaller than 7, and a Name of waikari school? |
<table0>[fare_basis] { <col0>[fare_basis_code]:[text] <col1>[booking_class]:[text] <col2>[class_type]:[text] <col3>[premium]:[text] <col4>[economy]:[text] <col5>[discounted]:[text] <col6>[night]:[text] <col7>[season]:[text] <col8>[basis_days]:[text] } <table1>[flight_leg] { <col0>[flight_id]:[int] <col1>[leg_number]:[... | SELECT DISTINCT flight.flight_id FROM `<table16>` AS AIRPORT_SERVICE_0, `<table16>` 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 = 'ATLANTA' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND flight.from_airport = AIRPORT_SE... | show departures from ATLANTA for AA
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<table0>[SpaceMissions] { <col0>[INT]:[mission] <col1>[VARCHAR]:[year] <col2>[INT]:[country] <col3>[VARCHAR]:[INSERT] } | SELECT country, COUNT( * ) AS num_missions FROM `<table0>` GROUP BY country; | What is the total number of space missions conducted by each country in the SpaceMissions table? |
<table0>[table_69097] { <col0>[Outcome]:[text] <col1>[Date]:[text] <col2>[Surface]:[text] <col3>[Partnering]:[text] <col4>[Opponents]:[final] <col5>[text]:[Score] } | SELECT "Outcome" FROM `<table0>` WHERE "Date" = 'may 25, 2009' | What was the outcome on May 25, 2009?
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<table0>[workshop] { <col0>[Workshop_ID]:[int] <col1>[Date]:[text] <col2>[Venue]:[text] } <table1>[submission] { <col0>[Submission_ID]:[int] <col1>[Scores]:[real] <col2>[Author]:[text] <col3>[College]:[text] } <table2>[Acceptance] { <col0>[Submission_ID]:[int] <col1>[Workshop_ID]:[int] <col2>[Result]:[text] } | SELECT Venue, COUNT( `<col2>` ) FROM `<table0>` GROUP BY `<col2>` ORDER BY `<col2>` DESC | Show the number of venue from each venue, display by the X in desc please.
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<table0>[table_2102782_1] { <col0>[archive]:[VARCHAR] <col1>[run_time]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "23:55" | Name the archive for run time of 23:55 |
<table0>[table_611] { <col0>[Model]:[number] <col1>[text]:[Printer] <col2>[ports]:[text] <col3>[Network]:[ports] <col4>[text]:[Network] <col5>[protocols]:[text] <col6>[Firmware]:[text] <col7>[Notes]:[text] } | SELECT "Printer ports" FROM `<table0>` WHERE "Model number" = 'EX Plus3' | What is the type of the printer ports included in the EX Plus3 model number? |
<table0>[table_27057] { <col0>[Branding]:[text] <col1>[Callsign]:[text] <col2>[text]:[Power] <col3>[text]:[Station] <col4>[Type]:[text] <col5>[Location]:[Transmitter] <col6>[site]:[text] } | SELECT "Power kW" FROM `<table0>` WHERE "Station Type" = 'Relay' AND "Callsign" = 'DXCL-TV' | What is the power in KW that has a station type of relay and a callsign of DXCL-TV?
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<table0>[table_2182562_2] { <col0>[top_5]:[INTEGER] <col1>[avg_finish]:[VARCHAR] } | SELECT MIN( `<col0>` ) FROM `<table0>` WHERE `<col1>` = "8.2" | What was the top 5 in the year with an average finish of 8.2?
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<table0>[employee_demographics] { <col0>[INT]:[PRIMARY] <col1>[KEY]:[age] <col2>[INT]:[ethnicity] <col3>[VARCHAR]:[255] <col4>[gender]:[VARCHAR] <col5>[255]:[job_title] <col6>[VARCHAR]:[255] } | SELECT DISTINCT job_title FROM employee_demographics; | List all unique job titles in the employee_demographics table |
<table0>[countries] { <col0>[COUNTRY_ID]:[varchar] <col1>[COUNTRY_NAME]:[varchar] <col2>[REGION_ID]:[decimal] } <table1>[job_history] { <col0>[EMPLOYEE_ID]:[decimal] <col1>[START_DATE]:[date] <col2>[END_DATE]:[date] <col3>[JOB_ID]:[varchar] <col4>[DEPARTMENT_ID]:[decimal] } <table2>[regions] { <col0>[REGION_ID]:[deci... | SELECT FIRST_NAME, `<col10>` FROM `<table5>` ORDER BY `<col10>` | You can return a bar chart to show the employees' first name and the corresponding department's id, show in asc by the y-axis.
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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 `<table6>`.hospitaladmittime FROM `<table6>` WHERE `<table6>`.uniquepid = '003-39001' AND DATETIME( `<table6>`.hospitaladmittime ) >= DATETIME( CURRENT_TIME( ), '-3 year' ) | what were the hospital hospital admission times of patient 003-39001 since 3 years ago?
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<table0>[course_prerequisite] { <col0>[pre_course_id]:[int] <col1>[course_id]:[int] } <table1>[gsi] { <col0>[course_offering_id]:[int] <col1>[student_id]:[int] } <table2>[program_requirement] { <col0>[program_id]:[int] <col1>[category]:[varchar] <col2>[min_credit]:[int] <col3>[additional_req]:[varchar] } <table3>[ca... | SELECT DISTINCT course.department, course.name, course.number FROM course, course_offering, program_course, semester WHERE course.course_id = course_offering.course_id AND course.department = 'PHYSIOL' AND program_course.category LIKE '%ULCS%' AND program_course.course_id = course.course_id AND semester.semester = 'Fal... | During this Fall , which upper-level PHYSIOL classes are being offered ? |
<table0>[table_name_2] { <col0>[margin_of_victory]:[VARCHAR] <col1>[winning_score]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = −14( 63 - 67 - 73 - 67 = 270 ) | What was the margin of victory when the winning score was −14 (63-67-73-67=270)? |
<table0>[table_50020] { <col0>[Place]:[text] <col1>[Player]:[text] <col2>[Country]:[text] <col3>[Score]:[text] <col4>[par]:[text] } | SELECT "To par" FROM `<table0>` WHERE "Country" = 'united states' AND "Place" = 't1' AND "Score" = '76-68=144' | What is the to par of the player from the United States with a place of t1 and a 76-68=144 score?
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<table0>[table_name_55] { <col0>[platform]:[VARCHAR] <col1>[current_version]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "0.6.2" | What Platform has a Current Version 0.6.2? |
<table0>[SuggestedEdits] { <col0>[number]:[PostId] <col1>[number]:[CreationDate] <col2>[time]:[ApprovalDate] <col3>[time]:[RejectionDate] <col4>[time]:[OwnerUserId] <col5>[number]:[Comment] <col6>[text]:[Text] <col7>[text]:[Title] <col8>[text]:[Tags] <col9>[text]:[RevisionGUID] } <table1>[PostFeedback] { <col0>[number... | SELECT Count, ( 'site://tags/' + TagName + '|' + TagName ) AS TagName, ExcerptPostId AS "post_link", WikiPostId AS "post_link" FROM `<table22>` AS t LEFT JOIN Posts AS pe ON pe.Id = t.ExcerptPostId LEFT JOIN Posts AS pw ON pw.Id = t.WikiPostId WHERE ExcerptPostId IS NULL OR LENGTH( pe.Body ) = 0 ORDER BY Count DESC | Lists the most commonly used tags with empty/missing tag wiki excerpt.. Lists the most commonly used tags with empty/missing tag wiki excerpt.
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<table0>[table_63603] { <col0>[Medal]:[count] <col1>[real]:[Date] <col2>[text]:[Athlete] <col3>[text]:[Nation] <col4>[text]:[Sport] <col5>[text]:[Record] <col6>[medal]:[event] } | SELECT "Sport" FROM `<table0>` WHERE "Medal count" = '17' | Which sport has 17 as the medal count?
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<table0>[table_name_38] { <col0>[date]:[VARCHAR] <col1>[away_team]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "footscray" | When was the game when Footscray was the away team? |
<table0>[diagnoses] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icd9_code]:[text] <col3>[short_title]:[text] <col4>[long_title]:[text] } <table1>[procedures] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icd9_code]:[text] <col3>[short_title]:[text] <col4>[long_title]:[text] } <table2>[lab] {... | SELECT MIN( `<table3>`.age ) FROM `<table3>` WHERE `<table3>`.marital_status = "WIDOWED" AND `<table3>`.days_stay = "30" | what is minimum age of patients whose marital status is widowed and days of hospital stay is 30? |
<table0>[flight_stop] { <col0>[flight_id]:[int] <col1>[stop_number]:[int] <col2>[stop_days]:[text] <col3>[stop_airport]:[text] <col4>[arrival_time]:[int] <col5>[arrival_airline]:[text] <col6>[arrival_flight_number]:[int] <col7>[departure_time]:[int] <col8>[departure_airline]:[text] <col9>[departure_flight_number]:[int]... | SELECT DISTINCT COUNT( * ), flight.airline_code FROM airport_service, city, flight WHERE city.city_code = airport_service.city_code AND city.city_name = 'ATLANTA' AND flight.from_airport = airport_service.airport_code GROUP BY flight.airline_code | please tell me which airline has the most departures from ATLANTA
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<table0>[climate_communication] { <col0>[project]:[VARCHAR] <col1>[country]:[VARCHAR] <col2>[roi]:[FLOAT] <col3>[date]:[DATE] } | DELETE FROM `<table0>` WHERE `<col2>` < 0; | Delete all climate communication projects with a negative ROI. |
<table0>[ClinicalTrials] { <col0>[trial_id]:[INT] <col1>[drug_name]:[VARCHAR] <col2>[255]:[trial_status] <col3>[VARCHAR]:[255] } | SELECT drug_name, COUNT( * ) as failure_count FROM `<table0>` WHERE trial_status = 'Failed' GROUP BY drug_name; | Which drugs were tested in clinical trials and failed, grouped by the number of failures? |
<table0>[student_record] { <col0>[student_id]:[int] <col1>[course_id]:[int] <col2>[semester]:[int] <col3>[grade]:[varchar] <col4>[varchar]:[transfer_source] <col5>[varchar]:[earn_credit] <col6>[varchar]:[repeat_term] <col7>[varchar]:[test_id] } <table1>[offering_instructor] { <col0>[offering_instructor_id]:[int] <col1... | SELECT COUNT( * ) > 0 FROM course, course_offering, offering_instructor, semester WHERE course.course_id = course_offering.course_id AND course.department = 'DHYGRACK' AND course.number = 682 AND offering_instructor.offering_id = course_offering.offering_id AND semester.semester = 'WN' AND semester.semester_id = course... | Can I take the course DHYGRACK 682 right now ?
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<table0>[table_79227] { <col0>[Place]:[real] <col1>[Team]:[text] <col2>[Played]:[real] <col3>[Draw]:[real] <col4>[Lost]:[real] <col5>[Goals]:[Scored] <col6>[real]:[Goals] <col7>[Conceded]:[real] <col8>[Points]:[real] } | SELECT SUM( "Goals Conceded" ) FROM `<table0>` WHERE "Draw" > '5' AND "Points" > '21' AND "Played" < '18' | How many goals were conceded by the team with more than 21 points more than 5 draws and less than 18 games played?
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<table0>[CREATE] { <col0>[SCHEMA]:[exists] <col1>[biosensors]:[USE] } <table1>[exists] { <col0>[patents]:[INT] <col1>[name]:[VARCHAR] <col2>[255]:[company] <col3>[VARCHAR]:[255] <col4>[country]:[VARCHAR] <col5>[255]:[INSERT] <col6>[patents]:[name] <col7>[company]:[country] <col8>[VALUES]:[PatentA] <col9>[Company1]:[Pa... | SELECT * FROM biosensors.patents WHERE country IN ( 'US', 'CA' ); | List all biosensor technology patents that were filed by companies from the US or Canada. |
<table0>[table_name_67] { <col0>[opponent]:[VARCHAR] <col1>[high_rebounds]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "pierson ( 6 )" | What is Opponent, when High Rebounds is "Pierson (6)"? |
<table0>[restaurants] { <col0>[INT]:[name] <col1>[TEXT]:[location] <col2>[TEXT]:[safety_score] <col3>[INT]:[INSERT] } | SELECT AVG( safety_score ) FROM `<table0>` WHERE location = 'Texas'; | What is the average food safety score of restaurants in Texas? |
<table0>[match_season] { <col0>[Country]:[VARCHAR] } <table1>[country] { <col0>[Country_name]:[VARCHAR] <col1>[Country_id]:[VARCHAR] } | SELECT Country_name, COUNT( * ) FROM `<table1>` AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country GROUP BY T1.Country_name | Show the country names and the corresponding number of players.
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<table0>[incidents_germany] { <col0>[INT]:[report_date] <col1>[DATE]:[industry] <col2>[TEXT]:[incident_count] <col3>[INT]:[INSERT] } | SELECT industry, AVG( incident_count ) as avg_incidents FROM `<table0>` WHERE report_date >= DATE_TRUNC( 'quarter', NOW( ) - INTERVAL '1 quarter' ) GROUP BY industry ORDER BY avg_incidents DESC LIMIT 1; | Which industries in Germany have the highest workplace safety incident rate in the last quarter? |
<table0>[mobile_subscribers] { <col0>[subscriber_id]:[INT] <col1>[first_name]:[VARCHAR] <col2>[last_name]:[VARCHAR] <col3>[billing_address]:[VARCHAR] <col4>[100]:[last_updated_date] } | SELECT subscriber_id, first_name, last_name, `<col3>` FROM `<table0>` WHERE last_updated_date < DATE_SUB( CURRENT_DATE, INTERVAL 6 MONTH ); | Which mobile subscribers have not updated their billing address in the last 6 months? |
<table0>[table_15856] { <col0>[Player]:[text] <col1>[text]:[Nationality] <col2>[text]:[Position] <col3>[text]:[Years] <col4>[Toronto]:[text] <col5>[School]:[Club] <col6>[Team]:[text] } | SELECT "Position" FROM `<table0>` WHERE "School/Club Team" = 'Baylor' | What position did the player from Baylor play?
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<table0>[table_name_11] { <col0>[result]:[VARCHAR] <col1>[opponent]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "igor samoilenco" | Opponent of igor samoilenco had what result?
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<table0>[table_name_9] { <col0>[class]:[VARCHAR] <col1>[year]:[VARCHAR] <col2>[road_number]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` > 1939 AND `<col2>` < 3508 | Which class starts after 1939 and has a road number smaller than 3508? |
<table0>[domain_publication] { <col0>[int]:[pid] } <table1>[author] { <col0>[aid]:[int] <col1>[homepage]:[varchar] <col2>[name]:[varchar] <col3>[oid]:[int] } <table2>[organization] { <col0>[continent]:[varchar] <col1>[homepage]:[varchar] <col2>[name]:[varchar] <col3>[oid]:[int] } <table3>[domain_conference] { <col0>... | SELECT COUNT( DISTINCT ( publication.title ) ) FROM journal, publication WHERE journal.name = 'PVLDB' AND publication.jid = journal.jid | return me the number of papers on PVLDB . |
<table0>[Property] { <col0>[INT]:[property_type] <col1>[VARCHAR]:[affordability_score] <col2>[INT]:[city] <col3>[VARCHAR]:[INSERT] } | SELECT `<table0>`.property_type, MAX( `<table0>`.affordability_score ) AS max_affordability_score, MIN( `<table0>`.affordability_score ) AS min_affordability_score FROM `<table0>` WHERE `<table0>`.city = 'InclusiveCity' GROUP BY `<table0>`.property_type; | What is the maximum and minimum housing affordability score for properties in the "InclusiveCity" schema, grouped by property type? |
<table0>[paper] { <col0>[paperid]:[int] <col1>[title]:[varchar] <col2>[venueid]:[int] <col3>[year]:[int] <col4>[numciting]:[int] <col5>[numcitedby]:[int] <col6>[journalid]:[int] } <table1>[paperdataset] { <col0>[paperid]:[int] <col1>[datasetid]:[int] } <table2>[cite] { <col0>[citingpaperid]:[int] <col1>[citedpaperid]... | SELECT DISTINCT keyphrase.keyphrasename, paper.year FROM author, keyphrase, paper, paperkeyphrase, writes WHERE author.authorname = 'michael jordan' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paper.paperid = paperkeyphrase.paperid AND writes.authorid = author.authorid AND writes.paperid = paper.paperid ... | recent research interests of michael jordan
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<table0>[table_name_42] { <col0>[to_par]:[VARCHAR] <col1>[country]:[VARCHAR] <col2>[player]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "united states" AND `<col2>` = "dave stockton" | which To par has a Country of united states, and a Player of dave stockton? |
<table0>[procedures] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icd9_code]:[text] <col3>[short_title]:[text] <col4>[long_title]:[text] } <table1>[prescriptions] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icustay_id]:[text] <col3>[drug_type]:[text] <col4>[drug]:[text] <col5>[formulary_drug... | SELECT MAX( `<table4>`.age ) FROM `<table4>` WHERE `<table4>`.marital_status = "WIDOWED" AND `<table4>`.admission_type = "EMERGENCY" | what is the maximum age of patients whose marital status is widowed and admission type is emergency?
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<table0>[ocean_acidity] { <col0>[ocean]:[VARCHAR] <col1>[255]:[location] <col2>[VARCHAR]:[255] <col3>[acidity]:[FLOAT] } | SELECT MAX( `<col3>` ) FROM `<table0>` WHERE `<col0>` = 'Arctic'; | What is the maximum ocean acidity level in the Arctic Ocean? |
<table0>[table_75283] { <col0>[Date]:[text] <col1>[Visitor]:[text] <col2>[Score]:[text] <col3>[Home]:[text] <col4>[Record]:[text] } | SELECT "Record" FROM `<table0>` WHERE "Home" = 'edmonton oilers' AND "Score" = '3–6' | Which Record has a Home of edmonton oilers, and a Score of 3 6? |
<table0>[Employees] { <col0>[INT]:[name] <col1>[VARCHAR]:[position] <col2>[VARCHAR]:[left_company] } | UPDATE Employees SET position = 'Senior Software Engineer' WHERE name = 'Juan Garcia'; | Update the position of an employee in the Employees table |
<table0>[lab] { <col0>[labid]:[number] <col1>[patientunitstayid]:[number] <col2>[labname]:[text] <col3>[labresult]:[number] <col4>[labresulttime]:[time] } <table1>[patient] { <col0>[uniquepid]:[text] <col1>[patienthealthsystemstayid]:[number] <col2>[patientunitstayid]:[number] <col3>[gender]:[text] <col4>[age]:[text] ... | SELECT COUNT( * ) > 0 FROM `<table8>` WHERE `<table8>`.`<table1>`unitstayid IN ( SELECT `<table1>`.`<table1>`unitstayid FROM `<table1>` WHERE `<table1>`.`<table1>`healthsystemstayid IN ( SELECT `<table1>`.`<table1>`healthsystemstayid FROM `<table1>` WHERE `<table1>`.uniquepid = '021-148847' ) ) AND `<table8>`.sao2 BETW... | sao2 of patient 021-148847 has been normal since 04/2105? |
<table0>[captain] { <col0>[Captain_ID]:[int] <col1>[text]:[Ship_ID] <col2>[int]:[age] <col3>[text]:[Class] <col4>[text]:[Rank] } <table1>[Ship] { <col0>[Ship_ID]:[int] <col1>[text]:[Type] <col2>[text]:[Built_Year] <col3>[real]:[Class] <col4>[text]:[Flag] } | SELECT Flag, COUNT( * ) FROM `<table1>` GROUP BY Flag ORDER BY Flag | What are the different ship flags, and how many ships have each Plot them as bar chart, and could you display bar from low to high order? |
<table0>[course_tags_count] { <col0>[course_id]:[int] <col1>[clear_grading]:[int] <col2>[pop_quiz]:[int] <col3>[group_projects]:[int] <col4>[inspirational]:[int] <col5>[long_lectures]:[int] <col6>[extra_credit]:[int] <col7>[few_tests]:[int] <col8>[good_feedback]:[int] <col9>[tough_tests]:[int] <col10>[heavy_papers]:[in... | SELECT DISTINCT `<table14>`.department, `<table14>`.name, `<table14>`.number FROM `<table14>` INNER JOIN student_record ON student_record.`<table14>`_id = `<table14>`.`<table14>`_id INNER JOIN area ON student_record.`<table14>`_id = area.`<table14>`_id WHERE area.area LIKE '%human computer interaction%' AND student_rec... | Do any of my courses relate to human computer interaction ? |
<table0>[t_kc21] { <col0>[MED_CLINIC_ID]:[text] <col1>[OVERALL_CD_ORG]:[text] <col2>[OVERALL_CD_PERSON]:[text] <col3>[COMP_ID]:[text] <col4>[PERSON_ID]:[text] <col5>[PERSON_NM]:[text] <col6>[IDENTITY_CARD]:[text] <col7>[SOC_SRT_CARD]:[text] <col8>[PERSON_SEX]:[number] <col9>[PERSON_AGE]:[number] <col10>[IN_HOSP_DATE]:[... | SELECT HOSP_DOC_CD, HOSP_DOC_NM FROM `<table2>` WHERE `<col3>` = '56812320084' | 病人98965172在医疗就诊56812320084中的医疗项目由哪些医师开的，这些医师的编号和姓名查看一下
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<table0>[Exploration] { <col0>[ExplorationID]:[VARCHAR] <col1>[Location]:[VARCHAR] <col2>[StartDate]:[DATE] <col3>[EndDate]:[DATE] } | UPDATE Exploration SET EndDate = '2022-12-31' WHERE Location = 'South China Sea'; | Update 'Exploration' table and set 'EndDate' to '2022-12-31' for records where 'Location' is 'South China Sea' |
<table0>[table_name_54] { <col0>[player]:[VARCHAR] <col1>[to_par]:[VARCHAR] <col2>[score]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "+3" AND `<col2>` = 72 - 68 - 71 - 72 = 283 | Who is the player with a +3 to par and a 72-68-71-72=283 score? |
<table0>[table_57469] { <col0>[Election]:[text] <col1>[1st]:[Member] <col2>[text]:[1st] <col3>[Party]:[text] <col4>[2nd]:[Member] <col5>[text]:[2nd] <col6>[Party]:[text] <col7>[3rd]:[Member] <col8>[text]:[3rd] <col9>[Party]:[text] } | SELECT "1st Party" FROM `<table0>` WHERE "2nd Party" = 'independent' | What was the 1st Party when the 2nd Party was Independent?
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<table0>[table_27914606_1] { <col0>[written_by]:[VARCHAR] <col1>[us_viewers__millions]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE us_viewers__millions_ = "5.56" | who were the writers of the episode that had 5.56 millions of north american viewers?
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<table0>[visitors] { <col0>[visitor_id]:[INT] <col1>[exhibition_id]:[INT] <col2>[age]:[INT] <col3>[gender]:[VARCHAR] } | SELECT AVG( `<col2>` ) FROM `<table0>` WHERE `<col1>` = 1; | What was the average age of visitors who attended Exhibit A? |
<table0>[city] { <col0>[city_code]:[varchar] <col1>[city_name]:[varchar] <col2>[state_code]:[varchar] <col3>[country_name]:[varchar] <col4>[time_zone_code]:[varchar] } <table1>[food_service] { <col0>[meal_code]:[text] <col1>[meal_number]:[int] <col2>[compartment]:[text] <col3>[meal_description]:[varchar] } <table2>[f... | SELECT DISTINCT fare.fare_id FROM `<table18>` AS AIRPORT_SERVICE_0, `<table18>` AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, fare_basis, flight, flight_fare WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'PHILADELPHIA' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CI... | what 's the cost of a FIRST class fare from PHILADELPHIA to SAN FRANCISCO
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<table0>[food_service] { <col0>[meal_code]:[text] <col1>[meal_number]:[int] <col2>[compartment]:[text] <col3>[meal_description]:[varchar] } <table1>[aircraft] { <col0>[aircraft_code]:[varchar] <col1>[aircraft_description]:[varchar] <col2>[manufacturer]:[varchar] <col3>[basic_type]:[varchar] <col4>[engines]:[int] <col5... | SELECT DISTINCT flight.flight_id FROM `<table12>` AS AIRPORT_SERVICE_0, `<table12>` 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 = 'BOSTON' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'PHILADELPHIA' A... | show flights between BOSTON and PHILADELPHIA
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<table0>[table_13187] { <col0>[Date]:[text] <col1>[Ship]:[text] <col2>[Tonnage]:[text] <col3>[Nationality]:[text] <col4>[Fate]:[text] } | SELECT "Fate" FROM `<table0>` WHERE "Nationality" = 'united kingdom' AND "Tonnage" = '1,809' | Which Fate has a Nationality of united kingdom, and a Tonnage of 1,809?
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<table0>[instructor] { <col0>[instructor_id]:[int] <col1>[name]:[varchar] <col2>[uniqname]:[varchar] } <table1>[course_prerequisite] { <col0>[pre_course_id]:[int] <col1>[course_id]:[int] } <table2>[comment_instructor] { <col0>[instructor_id]:[int] <col1>[student_id]:[int] <col2>[score]:[int] <col3>[comment_text]:[var... | SELECT DISTINCT course_offering.end_time, course_offering.friday, course_offering.monday, course_offering.saturday, course_offering.start_time, course_offering.sunday, course_offering.thursday, course_offering.tuesday, course_offering.wednesday FROM `<table11>` INNER JOIN course_offering ON `<table11>`.`<table11>`_id =... | The times that International Security , Norms and Cooperation will be offered are what ?
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<table0>[INTELLIGENCE_OPERATIONS] { <col0>[INT]:[PRIMARY] <col1>[KEY]:[operation] <col2>[VARCHAR]:[255] <col3>[city]:[VARCHAR] <col4>[255]:[country] <col5>[VARCHAR]:[255] <col6>[year]:[INT] } | SELECT operation FROM `<table0>` WHERE `<col3>` = 'CityB' AND `<col6>` = ( SELECT MAX( `<col6>` ) FROM `<table0>` WHERE `<col3>` = 'CityB' ); | What are the names of the intelligence operations conducted in 'CityB' in the INTELLIGENCE_OPERATIONS table? |
<table0>[table_name_14] { <col0>[label]:[VARCHAR] <col1>[region]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "japan" | What was the label in Japan? |
<table0>[table_name_29] { } | SELECT SUM( 1872 ) FROM `<table0>` WHERE 1866 > 856 AND 1861 > 1906 AND 1876 > 1990 | What is the sum of 1872(s), when 1866 is greater than 856, when 1861 is greater than 1906, and when 1876 is greater than 1990?
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<table0>[table_name_7] { <col0>[player]:[VARCHAR] <col1>[to_par]:[VARCHAR] <col2>[country]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "+5" AND `<col2>` = "australia" | Who is the player from Australia with a to par of +5? |
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