schema stringlengths 20 14.6k | query stringlengths 17 2.58k | question stringlengths 8 1.06k |
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<table0>[table_203_156] { <col0>[number]:[team] <col1>[text]:[outgoing] <col2>[manager]:[text] <col3>[manner]:[departure] <col4>[text]:[date] <col5>[vacancy]:[text] <col6>[replaced]:[text] <col7>[date]:[appointment] <col8>[text]:[position] <col9>[table]:[text] } | SELECT COUNT( * ) FROM `<table0>` WHERE "date of appointment" = 11 | how many times was the date of appointment in the month of november ?
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<table0>[mining_operations] { <col0>[INT]:[name] <col1>[VARCHAR]:[num_employees] <col2>[INT]:[role] <col3>[VARCHAR]:[INSERT] } | SELECT name, role, COUNT( * ) FROM `<table0>` WHERE role = 'Engineer' GROUP BY name, role; | How many employees work in the 'Engineer' role in each mining operation? |
<table0>[person] { <col0>[name]:[text] <col1>[age]:[number] <col2>[city]:[text] <col3>[gender]:[text] <col4>[job]:[text] } <table1>[personfriend] { <col0>[name]:[text] <col1>[friend]:[text] <col2>[year]:[number] } | SELECT T2.friend FROM `<table0>` AS T1 JOIN `<table0>`friend AS T2 ON T1.name = T2.friend WHERE T2.name = 'Alice' AND T1.gender = 'male' AND T1.job = 'doctor' | Who are the friends of Alice that are doctors?
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<table0>[table_186468_1] { <col0>[property]:[VARCHAR] <col1>[ka_band]:[VARCHAR] } | SELECT COUNT( `<col0>` ) FROM `<table0>` WHERE `<col1>` = "2" | When 2 is the ka-band how many properties are there? |
<table0>[song] { <col0>[song_name]:[VARCHAR] <col1>[resolution]:[VARCHAR] } | SELECT `<table0>`_name FROM `<table0>` ORDER BY `<col1>` | Give me a list of the names of all songs ordered by their resolution.
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<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>[PostsWithDeleted] { <col0>[number]:[PostTypeId] <col1>[number]:... | SELECT Id AS "user_link", Reputation, CreationDate, DisplayName, LastAccessDate FROM `<table25>` WHERE ( Reputation > '##rep##' ) AND ( DisplayName LIKE '%user%' ) ORDER BY Reputation DESC | Find all users above given reputation with username user*.
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<table0>[table_name_18] { <col0>[owner_s]:[VARCHAR] <col1>[date]:[VARCHAR] <col2>[description]:[VARCHAR] } | SELECT owner_s_ FROM `<table0>` WHERE `<col1>` = 1956 AND `<col2>` = "mark 1 pos" | Which owner has a description of Mark 1 pos and is dated 1956? |
<table0>[port] { <col0>[INT]:[PRIMARY] <col1>[KEY]:[name] <col2>[VARCHAR]:[255] <col3>[location]:[VARCHAR] <col4>[255]:[country] <col5>[VARCHAR]:[255] <col6>[area]:[FLOAT] } | CREATE VIEW `<table0>`_usa_new AS SELECT * FROM `<table0>` WHERE country = 'USA'; | Create a view for ports located in the USA |
<table0>[Manufacturers] { <col0>[Code]:[INTEGER] <col1>[VARCHAR]:[255] <col2>[Headquarter]:[VARCHAR] <col3>[255]:[Founder] <col4>[VARCHAR]:[255] <col5>[Revenue]:[REAL] } <table1>[Products] { <col0>[Code]:[INTEGER] <col1>[VARCHAR]:[255] <col2>[Price]:[DECIMAL] <col3>[Manufacturer]:[INTEGER] } | SELECT T1.Name, T2.Revenue FROM `<table1>` AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Headquarter, T1.Name ORDER BY T1.Name | For those records from the products and each product's manufacturer, visualize a bar chart about the distribution of name and revenue , and group by attribute headquarter, and list by the X from low to high.
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<table0>[Programs] { <col0>[program_id]:[INT] <col1>[target_group]:[VARCHAR] <col2>[funding_amount]:[DECIMAL] <col3>[funding_date]:[DATE] } | SELECT SUM( `<col2>` ) AS total_funding FROM `<table0>` WHERE `<col1>` = 'seniors'; | What was the total funding received by programs targeting 'seniors'? |
<table0>[LOTS] { <col0>[lot_details]:[VARCHAR] <col1>[investor_id]:[VARCHAR] } | SELECT lot_details, `<col1>` FROM `<table0>` | Return the lot details and investor ids.
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<table0>[table_11274401_3] { <col0>[air_date]:[VARCHAR] <col1>[viewers__m]:[VARCHAR] } | SELECT COUNT( `<col0>` ) FROM `<table0>` WHERE viewers__m_ = "1.82" | What's the total number of episodes whose original airings were viewed by 1.82 million viewers?
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<table0>[table_10307] { <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 "Away `<col2>` score" = '18.16 ( 124 )' | How big was the crowd of the away team that scored 18.16 (124)?
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<table0>[Faculty] { <col0>[FacID]:[INTEGER] <col1>[Lname]:[VARCHAR] <col2>[Fname]:[VARCHAR] <col3>[Rank]:[VARCHAR] <col4>[Sex]:[VARCHAR] <col5>[Phone]:[INTEGER] <col6>[Room]:[VARCHAR] <col7>[Building]:[VARCHAR] } <table1>[Member_of] { <col0>[FacID]:[INTEGER] <col1>[DNO]:[INTEGER] <col2>[Appt_Type]:[VARCHAR] } <table2... | SELECT T1.CName, COUNT( T1.CName ) FROM `<table5>` AS T1 JOIN Enrolled_in AS T2 ON T1.CID = T2.CID GROUP BY T1.CName, T2.CID HAVING COUNT( * ) >= 5 ORDER BY T1.CName DESC | What is the number of each course name that have at least five enrollments? Show me a bar chart, and rank CName in desc order. |
<table0>[diagnosis] { <col0>[diagnosisid]:[number] <col1>[patientunitstayid]:[number] <col2>[diagnosisname]:[text] <col3>[diagnosistime]:[time] <col4>[icd9code]:[text] } <table1>[patient] { <col0>[uniquepid]:[text] <col1>[patienthealthsystemstayid]:[number] <col2>[patientunitstayid]:[number] <col3>[gender]:[text] <col... | SELECT SUM( CASE WHEN patient.hospitaldischargestatus = 'alive' THEN 1 WHEN STRFTIME( '%j', patient.hospitaldischargetime ) - STRFTIME( '%j', t2.`<table0>`time ) > 4 * 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 four year survival rate of patients with ventricular tachycardia diagnosed?
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<table0>[expenses] { <col0>[INT]:[category] <col1>[TEXT]:[year] <col2>[INT]:[amount_spent] <col3>[DECIMAL]:[INSERT] } | SELECT SUM( amount_spent ) FROM `<table0>` WHERE category = 'food aid' AND year = 2019; | What was the total amount spent on food aid in 2019? |
<table0>[course_offering] { <col0>[offering_id]:[int] <col1>[course_id]:[int] <col2>[semester]:[int] <col3>[section_number]:[int] <col4>[start_time]:[time] <col5>[end_time]:[time] <col6>[monday]:[varchar] <col7>[tuesday]:[varchar] <col8>[wednesday]:[varchar] <col9>[thursday]:[varchar] <col10>[friday]:[varchar] <col11>[... | SELECT COUNT( * ) > 0 FROM course, course_offering, instructor, offering_instructor, semester WHERE course.course_id = course_offering.course_id AND course.department = 'UKRAINE' AND course.number = 451 AND instructor.name LIKE '%Christopher Odato%' AND offering_instructor.instructor_id = instructor.instructor_id AND o... | In Fall 2002 , did Prof. Christopher Odato teach UKRAINE 451 ?
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<table0>[outputevents] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[charttime]:[time] <col5>[itemid]:[number] <col6>[value]:[number] } <table1>[admissions] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[admittim... | SELECT `<table3>`.spec_type_desc FROM `<table3>` WHERE `<table3>`.hadm_id IN ( SELECT `<table1>`.hadm_id FROM `<table1>` WHERE `<table1>`.subject_id = 15794 ) AND DATETIME( `<table3>`.charttime, 'start of month' ) = DATETIME( CURRENT_TIME( ), 'start of month', '-0 month' ) ORDER BY `<table3>`.charttime DESC LIMIT 1 | tell me the name of the specimen test that patient 15794 had last received in this month? |
<table0>[table_name_28] { <col0>[year]:[INTEGER] <col1>[country]:[VARCHAR] <col2>[location]:[VARCHAR] } | SELECT AVG( `<col0>` ) FROM `<table0>` WHERE `<col1>` = "u.s." AND `<col2>` = "edmond , ok" | What is the average Year, when Country is "U.S.", and when Location is "Edmond , OK"? |
<table0>[games] { <col0>[INT]:[sport] <col1>[VARCHAR]:[date] <col2>[DATE]:[team] <col3>[VARCHAR]:[fans] <col4>[INT]:[INSERT] } | SELECT COUNT( * ) FROM `<table0>` WHERE sport = 'NBA' AND date >= DATE_SUB( CURRENT_DATE, INTERVAL 5 YEAR ); | How many fans attended NBA games in the last 5 years? |
<table0>[table_name_92] { <col0>[best_fit__wmap]:[VARCHAR] <col1>[extra_parameter]:[VARCHAR] <col2>[best_fit__all_data]:[VARCHAR] } | SELECT best_fit__wmap, _extra_parameter_ FROM `<table0>` WHERE best_fit__all_data_ = ".0224 ± .0009" | What is the best fit (WMAP, extra parameter)when the best fit (all data) is .0224 ± .0009? |
<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 `<table4>`.subject_id ) FROM `<table4>` INNER JOIN procedures ON `<table4>`.hadm_id = procedures.hadm_id WHERE `<table4>`.ethnicity = "BLACK/AFRICAN AMERICAN" AND procedures.short_title = "Colonoscopy" | give me the number of patients whose ethnicity is black/african american and procedure short title is colonoscopy? |
<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>[PostsWithDeleted] { <col0>[number]:[PostTypeId] <col1>[number]:... | SELECT YEAR( p.CreationDate ), 100.0 * SUM( CASE WHEN t.Id IN ( 5, 21, 382, 75151, 3988, 57799, 106940, 114990, 8945, 8279, 14642, 984, 1581, 92312, 1661, 3437, 104777, 60676, 105840, 7528, 112569, 120888, 357, 78546, 26762, 3262, 63960, 98900, 99724, 2290, 66821, 1380, 81001, 5505, 107832, 85709, 2857, 72364, 44230, 3... | Programming languages trends - inc. related tags.
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<table0>[geographic] { <col0>[city_name]:[varchar] <col1>[county]:[varchar] <col2>[region]:[varchar] } <table1>[restaurant] { <col0>[int]:[name] <col1>[varchar]:[food_type] <col2>[varchar]:[city_name] <col3>[varchar]:[rating] } <table2>[location] { <col0>[restaurant_id]:[int] <col1>[house_number]:[int] <col2>[street_... | SELECT `<table2>`.house_number, restaurant.name FROM `<table2>`, restaurant WHERE `<table2>`.city_name = 'san francisco' AND restaurant.food_type = 'french' AND restaurant.id = `<table2>`.restaurant_id AND restaurant.rating = ( SELECT MAX( RESTAURANTalias1.rating ) FROM `<table2>` AS LOCATIONalias1, restaurant AS RESTA... | what is the best french restaurant in san francisco ? |
<table0>[microbiologyevents] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[charttime]:[time] <col4>[spec_type_desc]:[text] <col5>[org_name]:[text] } <table1>[chartevents] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <... | SELECT `<table11>`.startdate FROM `<table11>` WHERE `<table11>`.hadm_id IN ( SELECT `<table6>`.hadm_id FROM `<table6>` WHERE `<table6>`.subject_id = 19175 ) AND `<table11>`.drug = 'thiamine hcl' AND DATETIME( `<table11>`.startdate, 'start of month' ) = DATETIME( CURRENT_TIME( ), 'start of month', '-1 month' ) ORDER BY ... | in the previous month, when was the first time patient 19175 was prescribed thiamine hcl? |
<table0>[customers] { <col0>[CustomerID]:[integer] <col1>[text]:[text] <col2>[StreetAddress]:[text] <col3>[City]:[text] <col4>[State]:[text] <col5>[ZipCode]:[integer] <col6>[Email]:[text] <col7>[PhoneNumber]:[text] <col8>[FirstPurchaseDate]:[date] <col9>[SubscribedToEmailList]:[text] <col10>[Gender]:[text] } <table1>[... | SELECT T3.Latitude FROM `<table4>` AS T1 INNER JOIN `<table4>`brand AS T2 ON T1.BrandID = T2.BrandID INNER JOIN geolocation AS T3 ON T1.LocationID = T3.LocationID WHERE T2.BrandName = 'Thomas Kemper' GROUP BY T3.Latitude ORDER BY COUNT( T1.BrandID ) DESC LIMIT 1 | At what latitude is the Thomas Kemper brand beer consumed the most? |
<table0>[PhilanthropicTrends] { <col0>[TrendID]:[int] <col1>[Sector]:[varchar] <col2>[TrendScore]:[int] } | SELECT Sector, `<col2>` FROM `<table0>` ORDER BY `<col2>` DESC; | Which sectors have the highest philanthropic trends? |
<table0>[ReviewTasks] { <col0>[number]:[ReviewTaskTypeId] <col1>[number]:[CreationDate] <col2>[time]:[DeletionDate] <col3>[time]:[ReviewTaskStateId] <col4>[number]:[PostId] <col5>[number]:[SuggestedEditId] <col6>[number]:[CompletedByReviewTaskId] } <table1>[Tags] { <col0>[number]:[TagName] <col1>[text]:[Count] <col2>[... | SELECT ROW_NUMBER( ) OVER ( ORDER BY Reputation DESC ) AS "#", Id AS "user_link", Reputation FROM `<table11>` WHERE LOWER( Location ) LIKE '%iran%' OR UPPER( Location ) LIKE '%IR' ORDER BY Reputation DESC LIMIT 10 | Top 10 Users from Iran by Reputation. |
<table0>[sharks] { <col0>[INT]:[species] <col1>[VARCHAR]:[255] <col2>[weight]:[FLOAT] } | UPDATE sharks SET species = 'Pacific White Shark' WHERE id = 1; | Update the species of the shark with id 1 to 'Pacific White Shark' |
<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>[diagnoses] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icd9_code]:[te... | SELECT COUNT( DISTINCT `<table4>`.subject_id ) FROM `<table4>` INNER JOIN prescriptions ON `<table4>`.hadm_id = prescriptions.hadm_id WHERE `<table4>`.diagnosis = "SIGMOID DIVERTICULITIS, COLOVESTICAL FISTULA/SDA" AND prescriptions.drug_type = "MAIN" | how many patients whose primary disease is sigmoid diverticulitis, colovestical fistula/sda and drug type is main?
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<table0>[table_name_38] { <col0>[time_retired]:[VARCHAR] <col1>[driver]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "mika häkkinen" | What is the time/retired for mika häkkinen |
<table0>[employees] { <col0>[EMPLOYEE_ID]:[decimal] <col1>[FIRST_NAME]:[varchar] <col2>[LAST_NAME]:[varchar] <col3>[EMAIL]:[varchar] <col4>[PHONE_NUMBER]:[varchar] <col5>[HIRE_DATE]:[date] <col6>[JOB_ID]:[varchar] <col7>[SALARY]:[decimal] <col8>[COMMISSION_PCT]:[decimal] <col9>[MANAGER_ID]:[decimal] <col10>[DEPARTMENT_... | SELECT HIRE_DATE, AVG( `<col0>` ) FROM `<table0>` WHERE `<col1>` LIKE '%D%' OR `<col1>` LIKE '%S%' ORDER BY AVG( `<col0>` ) | For all employees who have the letters D or S in their first name, find hire_date and the average of employee_id bin hire_date by time, and visualize them by a bar chart, and could you show from low to high by the total number? |
<table0>[table_10236830_1] { <col0>[film_name]:[VARCHAR] <col1>[director]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "Vadim Ilyenko" | What was the film that vadim ilyenko directed? |
<table0>[customers] { <col0>[payment_method_code]:[VARCHAR] } | SELECT payment_method_code, COUNT( * ) FROM `<table0>` GROUP BY `<col0>` | For each payment method, return how many customers use it.
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<table0>[table_name_63] { <col0>[country]:[VARCHAR] <col1>[place]:[VARCHAR] <col2>[points]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` < 8 AND `<col2>` < 5 | Which country has a place smaller than 8 and points smaller than 5?
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<table0>[table_name_86] { <col0>[death]:[VARCHAR] <col1>[spouse]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "charles ii" | When was the date of death for the person married to Charles II?
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<table0>[dataset] { <col0>[datasetid]:[int] <col1>[datasetname]:[varchar] } <table1>[journal] { <col0>[journalid]:[int] <col1>[journalname]:[varchar] } <table2>[paperdataset] { <col0>[paperid]:[int] <col1>[datasetid]:[int] } <table3>[paper] { <col0>[paperid]:[int] <col1>[title]:[varchar] <col2>[venueid]:[int] <col3>... | SELECT DISTINCT cite.citedpaperid, COUNT( cite.citedpaperid ) FROM author, cite, paper, writes WHERE author.authorname = 'yejin choi' AND paper.paperid = cite.citedpaperid AND writes.authorid = author.authorid AND writes.paperid = paper.paperid GROUP BY cite.citedpaperid ORDER BY COUNT( cite.citedpaperid ) DESC | What is yejin choi 's highest cited paper ? |
<table0>[chartevents] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[itemid]:[number] <col5>[charttime]:[time] <col6>[valuenum]:[number] <col7>[valueuom]:[text] } <table1>[d_items] { <col0>[row_id]:[number] <col1>[itemid]:[number] <col2>[label]:[text] ... | SELECT ( SELECT `<table0>`.valuenum FROM `<table0>` WHERE `<table0>`.icustay_id IN ( SELECT `<table3>`.icustay_id FROM `<table3>` WHERE `<table3>`.hadm_id IN ( SELECT `<table6>`.hadm_id FROM `<table6>` WHERE `<table6>`.subject_id = 10855 ) AND `<table3>`.outtime IS NULL ) AND `<table0>`.itemid IN ( SELECT `<table1>`.it... | how much is patient 10855's different heart rate last measured on the current intensive care unit visit compared to the first value measured on the current intensive care unit visit? |
<table0>[Digital_Divide] { <col0>[region]:[VARCHAR] <col1>[index]:[INT] } | SELECT region, AVG( `<col1>` ) as avg_index FROM `<table0>` GROUP BY region; | What is the average digital divide index for each region? |
<table0>[table_204_357] { <col0>[number]:[year] <col1>[number]:[div] <col2>[text]:[pos] <col3>[text]:[cup] <col4>[text]:[scorer] <col5>[league]:[text] <col6>[score]:[number] } | SELECT "top scorer ( `<col5>` )" FROM `<table0>` WHERE "year" > ( SELECT "year" FROM `<table0>` WHERE "top scorer ( `<col5>` )" = 'sukhrob nematov' ) ORDER BY "year" LIMIT 1 | who was the top scorer after sukhrob nematov ?
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<table0>[table_name_15] { <col0>[prize]:[VARCHAR] <col1>[winner]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "dominik nitsche" | What is the Prize amount of Winner Dominik Nitsche? |
<table0>[patient] { <col0>[uniquepid]:[text] <col1>[patienthealthsystemstayid]:[number] <col2>[patientunitstayid]:[number] <col3>[gender]:[text] <col4>[age]:[text] <col5>[ethnicity]:[text] <col6>[hospitalid]:[number] <col7>[wardid]:[number] <col8>[admissionheight]:[number] <col9>[admissionweight]:[number] <col10>[disch... | SELECT `<table3>`.`<table3>`time FROM `<table3>` WHERE `<table3>`.`<table0>`unitstayid IN ( SELECT `<table0>`.`<table0>`unitstayid FROM `<table0>` WHERE `<table0>`.`<table0>`healthsystemstayid IN ( SELECT `<table0>`.`<table0>`healthsystemstayid FROM `<table0>` WHERE `<table0>`.uniquepid = '005-48105' ) ) AND `<table3>`... | what is patient 005-48105's first output amt-chest tube a output time a day before?
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<table0>[journalists] { <col0>[INT]:[name] <col1>[VARCHAR]:[INSERT] } <table1>[articles] { <col0>[INT]:[journalist_id] <col1>[INT]:[title] <col2>[VARCHAR]:[100] } | SELECT name FROM `<table0>` WHERE id NOT IN ( SELECT journalist_id FROM `<table1>` ); | Who are the journalists who have not published any articles in the "articles" table? |
<table0>[allergy] { <col0>[allergyid]:[number] <col1>[patientunitstayid]:[number] <col2>[drugname]:[text] <col3>[allergyname]:[text] <col4>[allergytime]:[time] } <table1>[diagnosis] { <col0>[diagnosisid]:[number] <col1>[patientunitstayid]:[number] <col2>[diagnosisname]:[text] <col3>[diagnosistime]:[time] <col4>[icd9co... | SELECT COUNT( * ) FROM `<table4>` WHERE `<table4>`.`<table6>`unitstayid IN ( SELECT `<table6>`.`<table6>`unitstayid FROM `<table6>` WHERE `<table6>`.`<table6>`healthsystemstayid IN ( SELECT `<table6>`.`<table6>`healthsystemstayid FROM `<table6>` WHERE `<table6>`.uniquepid = '002-3059' ) ) AND `<table4>`.drugname = 'cou... | how many times patient 002-3059 was prescribed coumadin during a year before?
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<table0>[Apartment_Facilities] { <col0>[apt_id]:[INTEGER] <col1>[facility_code]:[CHAR] } <table1>[Apartment_Buildings] { <col0>[building_id]:[INTEGER] <col1>[building_short_name]:[CHAR] <col2>[building_full_name]:[VARCHAR] <col3>[building_description]:[VARCHAR] <col4>[255]:[building_address] <col5>[VARCHAR]:[255] <col... | SELECT booking_end_date, COUNT( `<col5>` ) FROM `<table4>` GROUP BY `<col5>` ORDER BY `<col5>` DESC | Show me a line chart of how how many booking end date change over the booking end date, and sort by the x-axis in desc please. |
<table0>[ground_service] { <col0>[city_code]:[text] <col1>[airport_code]:[text] <col2>[transport_type]:[text] <col3>[ground_fare]:[int] } <table1>[code_description] { <col0>[code]:[varchar] <col1>[description]:[text] } <table2>[food_service] { <col0>[meal_code]:[text] <col1>[meal_number]:[int] <col2>[compartment]:[te... | SELECT DISTINCT `<table16>`_id FROM `<table16>` WHERE ( ( ( arrival_time <= 2000 AND arrival_time >= 1700 ) AND to_airport IN ( SELECT AIRPORT_SERVICEalias1.airport_code FROM `<table20>` AS AIRPORT_SERVICEalias1 WHERE AIRPORT_SERVICEalias1.`<table5>`_code IN ( SELECT CITYalias1.`<table5>`_code FROM `<table5>` AS CITYal... | a flight from BALTIMORE to SAN FRANCISCO arriving between 1700 and 2000
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<table0>[table_203_298] { <col0>[number]:[rank] <col1>[number]:[name] <col2>[text]:[nation] <col3>[text]:[born] <col4>[text]:[ascended] <col5>[text]:[years] <col6>[reigned]:[text] } | SELECT COUNT( * ) FROM `<table0>` WHERE "years reigned" >= 50 | how many reigned more than 50 years ?
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<table0>[Military_Technology] { <col0>[Technology]:[VARCHAR] <col1>[255]:[Year] <col2>[INT]:[INSERT] } | SELECT `<col0>` FROM `<table0>` WHERE Year >= 2017; | Which military technology has been developed in the last 5 years? |
<table0>[table_204_128] { <col0>[number]:[region] <col1>[text]:[date] <col2>[text]:[label] <col3>[text]:[format] <col4>[text]:[catalog] } | SELECT "region" FROM `<table0>` GROUP BY "region" HAVING COUNT( DISTINCT "format" ) > 1 | which region has more than one format ? |
<table0>[Areas] { <col0>[INT]:[name] <col1>[TEXT]:[country] <col2>[TEXT]:[population] <col3>[INT]:[num_accessible_tech_initiatives] <col4>[INT]:[INSERT] } | SELECT SUM( num_accessible_tech_initiatives ) FROM `<table0>` WHERE population > 20000 AND type = 'rural'; | What is the total number of accessible technology initiatives in rural areas with a population over 20,000 in Asia? |
<table0>[employees] { <col0>[hire_date]:[INTEGER] } | SELECT * FROM `<table0>` WHERE `<col0>` < '2002-06-21' | display all the details from Employees table for those employees who was hired before 2002-06-21. |
<table0>[transfers] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[eventtype]:[text] <col5>[careunit]:[text] <col6>[wardid]:[number] <col7>[intime]:[time] <col8>[outtime]:[time] } <table1>[d_items] { <col0>[row_id]:[number] <col1>[itemid]:[number] <col... | SELECT 24 * ( STRFTIME( '%j', CURRENT_TIME( ) ) - STRFTIME( '%j', `<table11>`.charttime ) ) FROM `<table11>` WHERE `<table11>`.icustay_id IN ( SELECT `<table16>`.icustay_id FROM `<table16>` WHERE `<table16>`.hadm_id IN ( SELECT `<table12>`.hadm_id FROM `<table12>` WHERE `<table12>`.subject_id = 31854 ) AND `<table16>`.... | how many hours has it been since the last time that patient 31854 on the current icu visit received a criticare hn intake? |
<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>[diagnoses] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icd9_code]:[te... | SELECT COUNT( DISTINCT `<table2>`.subject_id ) FROM `<table2>` INNER JOIN lab ON `<table2>`.hadm_id = lab.hadm_id WHERE `<table2>`.diagnosis = "STERNAL WOUND INFECTION" AND lab."CATEGORY" = "Chemistry" | what is the number of patients whose primary disease is sternal wound infection and lab test category is chemistry? |
<table0>[table_name_87] { <col0>[date]:[VARCHAR] <col1>[record]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "7.39" | What is the Date with a Record that is 7.39?
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<table0>[table_29024] { <col0>[Pick]:[real] <col1>[Player]:[text] <col2>[Position]:[text] <col3>[Nationality]:[text] <col4>[NHL]:[team] <col5>[text]:[College] <col6>[junior]:[club] <col7>[team]:[text] } | SELECT "Player" FROM `<table0>` WHERE "NHL team" = 'Hartford Whalers' | Who was the player who played for Hartford Whalers NHL Team?
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<table0>[VolunteerSignUps] { <col0>[SignUpID]:[INT] <col1>[VolunteerID]:[INT] <col2>[EventID]:[INT] <col3>[SignUpDate]:[DATE] } | SELECT Events.EventName FROM Events JOIN VolunteerSignUps ON Events.EventID = VolunteerSignUps.EventID GROUP BY Events.EventID HAVING COUNT( VolunteerSignUps.VolunteerID ) > 50; | List all events that have more than 50 volunteers signed up |
<table0>[daily_activity] { <col0>[player_id]:[INT] <col1>[activity_date]:[DATE] <col2>[region]:[VARCHAR] <col3>[255]:[INSERT] } | SELECT activity_date, region, COUNT( `<col0>` ) as num_players FROM `<table0>` GROUP BY activity_date, region; | How many players are active in each region per day? |
<table0>[location] { <col0>[LocationID]:[integer] <col1>[Country]:[text] <col2>[State]:[text] <col3>[StateCode]:[text] <col4>[City]:[text] } <table1>[user] { <col0>[UserID]:[text] <col1>[Gender]:[text] } <table2>[twitter] { <col0>[TweetID]:[text] <col1>[Weekday]:[text] <col2>[Hour]:[integer] <col3>[Day]:[integer] <co... | SELECT SUM( CASE WHEN T2.City = 'Buenos Aires' THEN 1.0 ELSE 0 END ) / COUNT( T1.TweetID ) AS avg FROM `<table2>` AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.Country = 'Argentina' | What is the average number of tweets posted by the users in a city in Argentina? |
<table0>[table_16731248_1] { <col0>[spi]:[VARCHAR] <col1>[number_on_cyl]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "7" | Are there SPI on the number 7 cylinder? |
<table0>[table_204_622] { <col0>[number]:[year] <col1>[number]:[competition] <col2>[text]:[venue] <col3>[text]:[position] <col4>[text]:[event] <col5>[text]:[notes] } | SELECT "notes" FROM `<table0>` WHERE "event" = '400 m' AND "venue" = 'erfurt, germany' | how long did the 400m in erfurt , germany take for piotr kedzia ?
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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 diagnoses ON `<table0>`.hadm_id = diagnoses.hadm_id WHERE `<table0>`.ethnicity = "WHITE" AND diagnoses.long_title = "Esophageal varices in diseases classified elsewhere, with bleeding" | provide the number of patients whose ethnicity is white and diagnoses long title is esophageal varices in diseases classified elsewhere, with bleeding? |
<table0>[aircraft] { <col0>[aircraft_code]:[varchar] <col1>[aircraft_description]:[varchar] <col2>[manufacturer]:[varchar] <col3>[basic_type]:[varchar] <col4>[engines]:[int] <col5>[propulsion]:[varchar] <col6>[wide_body]:[varchar] <col7>[wing_span]:[int] <col8>[length]:[int] <col9>[weight]:[int] <col10>[capacity]:[int]... | SELECT DISTINCT flight.flight_id FROM `<table1>` AS AIRPORT_SERVICE_0, `<table1>` AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day, days, flight WHERE ( CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BOSTON' AND date_day.day_number = 9 AND date_day.month_number = 8 AND date_day.yea... | give me the flights leaving DENVER 8 9 coming back to BOSTON
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<table0>[FireIncidents] { <col0>[INT]:[incident_id] <col1>[INT]:[incident_time] <col2>[TIME]:[district] <col3>[VARCHAR]:[255] } | SELECT district, AVG( TIMESTAMP_DIFF( MINUTE, '00:00:00', incident_time ) ) as avg_response_time FROM `<table0>` WHERE district = 'North' AND incident_time BETWEEN DATE_SUB( CURRENT_DATE, INTERVAL 1 MONTH ) AND CURRENT_DATE GROUP BY district; | What is the average response time for fire incidents in the 'North' district for the current month? |
<table0>[table_name_61] { <col0>[band]:[VARCHAR] <col1>[area_served]:[VARCHAR] <col2>[purpose]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "darwin" AND `<col2>` = "commercial" | Which band serves darwin for commercial purpose? |
<table0>[institution_details] { <col0>[unitid]:[integer] <col1>[chronname]:[text] <col2>[city]:[text] <col3>[state]:[text] <col4>[level]:[text] <col5>[control]:[text] <col6>[basic]:[text] <col7>[hbcu]:[text] <col8>[flagship]:[text] <col9>[long_x]:[real] <col10>[lat_y]:[real] <col11>[site]:[text] <col12>[student_count]:... | SELECT T1.chronname FROM `<table0>` AS T1 INNER JOIN state_sector_details AS T2 ON T2.state = T1.state INNER JOIN institution_grads AS T3 ON T3.unitid = T1.unitid WHERE T1.student_count = ( SELECT MIN( T1.student_count ) FROM `<table0>` AS T1 INNER JOIN state_sector_details AS T2 ON T2.state = T1.state INNER JOIN insti... | In the state with the highest state appropriations to higher education in fiscal year 2011 per resident, which institution has the lowest number of undergraduates in 2010? |
<table0>[table_67460] { <col0>[Minister]:[text] <col1>[Party]:[text] <col2>[Governments]:[text] <col3>[Term]:[start] <col4>[text]:[Term] <col5>[end]:[text] } | SELECT "Party" FROM `<table0>` WHERE "Governments" = '24' | Which party has 24 governments?
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<table0>[accounts] { <col0>[account_id]:[number] <col1>[customer_id]:[number] <col2>[account_name]:[text] <col3>[other_account_details]:[text] } <table1>[customers] { <col0>[customer_id]:[number] <col1>[customer_first_name]:[text] <col2>[customer_last_name]:[text] <col3>[customer_address]:[text] <col4>[customer_phone]... | SELECT COUNT( * ) FROM `<table0>` AS T1 JOIN customers AS T2 ON T1.customer_id = T2.customer_id WHERE T2.customer_first_name = "Art" AND T2.customer_last_name = "Turcotte" | Return the number of accounts that the customer with the first name Art and last name Turcotte has.
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<table0>[table_name_99] { <col0>[drawn]:[VARCHAR] <col1>[tries_for]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "34" | How many resulted in draws with 34 tries for?
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<table0>[student] { <col0>[student_id]:[int] <col1>[lastname]:[varchar] <col2>[firstname]:[varchar] <col3>[program_id]:[int] <col4>[declare_major]:[varchar] <col5>[total_credit]:[int] <col6>[total_gpa]:[float] <col7>[entered_as]:[varchar] <col8>[admit_term]:[int] <col9>[predicted_graduation_semester]:[int] <col10>[degr... | SELECT COUNT( * ) FROM course, course_offering, instructor, offering_instructor WHERE course.course_id = course_offering.course_id AND course.number = 725 AND instructor.name LIKE '%Eric Calderwood%' AND offering_instructor.instructor_id = instructor.instructor_id AND offering_instructor.offering_id = course_offering.o... | Has Prof. Eric Calderwood taught 725 many times ? |
<table0>[table_name_1] { <col0>[id_code_of_his_zero_fighter]:[VARCHAR] <col1>[count]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "10" | Which Zero Fighter has a count of 10? |
<table0>[table_name_33] { <col0>[home_team]:[VARCHAR] <col1>[away_team]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "aston villa" | What home team had an away team of Aston Villa?
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<table0>[Claims] { <col0>[ClaimID]:[int] <col1>[PolicyID]:[int] <col2>[State]:[varchar] <col3>[ClaimAmount]:[decimal] } | SELECT State, SUM( `<col3>` ) AS TotalClaimAmount FROM `<table0>` GROUP BY `<col2>` ORDER BY TotalClaimAmount DESC LIMIT 3 | List the top 3 states with the highest claim amounts? |
<table0>[FINANCIAL_CAPABILITY_PROGRAMS] { <col0>[BANK_NAME]:[VARCHAR] <col1>[PROGRAM_NAME]:[VARCHAR] <col2>[START_DATE]:[DATE] } | SELECT BANK_NAME, COUNT( * ) TOTAL_PROGRAMS FROM `<table0>` WHERE `<col2>` >= '2022-01-01' AND `<col2>` < '2022-04-01' GROUP BY `<col0>` ORDER BY TOTAL_PROGRAMS DESC; | List the banks with the highest number of financial capability programs offered in Q1 2022, in descending order? |
<table0>[table_17386066_2] { <col0>[opponent]:[VARCHAR] <col1>[stadium]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "Shea stadium" | Who is the opposing team when the game was played on the Shea Stadium?
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<table0>[Person] { <col0>[gender]:[VARCHAR] } | SELECT COUNT( * ) FROM `<table0>` WHERE `<col0>` = 'female' | How many females does this network has? |
<table0>[table_29092] { <col0>[Series]:[real] <col1>[Episode]:[real] <col2>[Title]:[text] <col3>[Director]:[text] <col4>[Writer]:[text] <col5>[Original]:[Airdate] } | SELECT "Original Airdate" FROM `<table0>` WHERE "Series #" = '26' | What is every original air date for series# of 26?
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<table0>[table_26199484_1] { <col0>[written_by]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE no = 38 | Who wrote title number 38? |
<table0>[AI_Safety_Topics] { <col0>[INT]:[topic] <col1>[TEXT]:[published_date] <col2>[DATE]:[INSERT] } | SELECT DISTINCT topic FROM `<table0>` WHERE published_date < '2018-01-01'; | List all unique AI safety research topics addressed before 2018. |
<table0>[table_11658094_1] { <col0>[location]:[VARCHAR] <col1>[institution]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "Barton College" | What is the location of the institution barton college
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<table0>[medication] { <col0>[medicationid]:[number] <col1>[patientunitstayid]:[number] <col2>[drugname]:[text] <col3>[dosage]:[text] <col4>[routeadmin]:[text] <col5>[drugstarttime]:[time] <col6>[drugstoptime]:[time] } <table1>[allergy] { <col0>[allergyid]:[number] <col1>[patientunitstayid]:[number] <col2>[drugname]:[... | SELECT ( SELECT `<table7>`.`<table7>`result FROM `<table7>` WHERE `<table7>`.`<table2>`unitstayid IN ( SELECT `<table2>`.`<table2>`unitstayid FROM `<table2>` WHERE `<table2>`.`<table2>`healthsystemstayid IN ( SELECT `<table2>`.`<table2>`healthsystemstayid FROM `<table2>` WHERE `<table2>`.uniquepid = '002-54808' AND NOT... | is the hgb level of patient 002-54808 last measured on the first hospital visit less than first measured on the first hospital visit? |
<table0>[Buildings] { <col0>[BuildingID]:[INT] <col1>[TEXT]:[Height] <col2>[INT]:[City] <col3>[TEXT]:[Country] <col4>[TEXT]:[INSERT] } | SELECT Name, Height FROM `<table0>` WHERE Country = 'Japan' AND City = 'Tokyo' ORDER BY Height ASC LIMIT 5; | Find the name and height of the five shortest buildings in Tokyo, Japan. |
<table0>[company] { <col0>[Company_ID]:[int] <col1>[Rank]:[int] <col2>[Company]:[text] <col3>[Headquarters]:[text] <col4>[Main_Industry]:[text] <col5>[Sales_billion]:[real] <col6>[Profits_billion]:[real] <col7>[Assets_billion]:[real] <col8>[Market_Value]:[real] } <table1>[station_company] { <col0>[Station_ID]:[int] <c... | SELECT Headquarters, COUNT( * ) FROM `<table0>` GROUP BY `<col3>` ORDER BY COUNT( * ) DESC | List all headquarters and the number of companies in each headquarter with a bar chart, could you display by the the total number from high to low?
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<table0>[Plays_Games] { <col0>[StuID]:[INTEGER] <col1>[GameID]:[INTEGER] <col2>[Hours_Played]:[INTEGER] } <table1>[SportsInfo] { <col0>[StuID]:[INTEGER] <col1>[SportName]:[VARCHAR] <col2>[HoursPerWeek]:[INTEGER] <col3>[GamesPlayed]:[INTEGER] <col4>[OnScholarship]:[VARCHAR] } <table2>[Student] { <col0>[StuID]:[INTEGER... | SELECT SportName, COUNT( * ) FROM `<table1>` GROUP BY `<col1>` | Show all sport name and the number of students. Show bar chart.
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<table0>[customer_transactions] { <col0>[transaction_id]:[INT] <col1>[customer_id]:[INT] <col2>[transaction_value]:[DECIMAL] } | SELECT MIN( `<col2>` ) FROM `<table0>` WHERE `<col1>` IN ( SELECT `<col1>` FROM customers WHERE state = 'TX' ); | What is the minimum transaction value for customers in Texas? |
<table0>[CLASS] { <col0>[CLASS_CODE]:[varchar] <col1>[CRS_CODE]:[varchar] <col2>[CLASS_SECTION]:[varchar] <col3>[CLASS_TIME]:[varchar] <col4>[CLASS_ROOM]:[varchar] <col5>[PROF_NUM]:[int] } <table1>[STUDENT] { <col0>[STU_NUM]:[int] <col1>[STU_LNAME]:[varchar] <col2>[STU_FNAME]:[varchar] <col3>[STU_INIT]:[varchar] <col4... | SELECT CRS_DESCRIPTION, COUNT( CRS_DESCRIPTION ) FROM `<table0>` AS T1 JOIN EMPLOYEE AS T2 ON T1.PROF_NUM = T2.EMP_NUM JOIN COURSE AS T3 ON T1.CRS_CODE = T3.CRS_CODE GROUP BY EMP_FNAME, CRS_DESCRIPTION ORDER BY COUNT( CRS_DESCRIPTION ) DESC | Show the number of courses for each course description in a stacked bar chart The x-axis is course description and group by instructor's name, I want to rank y axis in desc order.
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<table0>[Has_amenity] { <col0>[dormid]:[INTEGER] <col1>[amenid]:[INTEGER] } <table1>[Lives_in] { <col0>[stuid]:[INTEGER] <col1>[dormid]:[INTEGER] <col2>[room_number]:[INTEGER] } <table2>[Student] { <col0>[StuID]:[INTEGER] <col1>[LName]:[VARCHAR] <col2>[Fname]:[VARCHAR] <col3>[Age]:[INTEGER] <col4>[Sex]:[VARCHAR] <col... | SELECT city_code, AVG( `<col3>` ) FROM `<table2>` GROUP BY `<col7>` ORDER BY AVG( `<col3>` ) DESC | What are average ages for students living in each city? Return a bar chart, and list by the the average of age from high to low please.
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<table0>[table_11609814_1] { <col0>[permanence_of_the_body]:[VARCHAR] <col1>[purity]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "apprehension" | what's the permanence of the body where purity is apprehension |
<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 diagnoses ON `<table4>`.hadm_id = diagnoses.hadm_id WHERE `<table4>`.gender = "M" AND diagnoses.long_title = "Chronic total occlusion of coronary artery" | how many male patients had chronic total occlusion of coronary artery as their diagnosis long title? |
<table0>[entrepreneur] { <col0>[Entrepreneur_ID]:[int] <col1>[People_ID]:[int] <col2>[Company]:[text] <col3>[Money_Requested]:[real] <col4>[Investor]:[text] } <table1>[people] { <col0>[People_ID]:[int] <col1>[text]:[Height] <col2>[real]:[Weight] <col3>[real]:[Date_of_Birth] } | SELECT Date_of_Birth, COUNT( Date_of_Birth ) FROM `<table0>` AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID WHERE T1.Investor = "Simon Woodroffe" OR T1.Investor = "Peter Jones" | A line chart for what are the number of the dates of birth of entrepreneurs with investor 'Simon Woodroffe' or 'Peter Jones'?
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<table0>[table_2562572_52] { <col0>[type]:[VARCHAR] <col1>[settlement]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "Subotište" | What is the type when the settlement is subotište? |
<table0>[table_name_70] { <col0>[away]:[VARCHAR] <col1>[score]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "46-82" | What is the Away with a Score that is 46-82? |
<table0>[PendingFlags] { <col0>[number]:[FlagTypeId] <col1>[number]:[PostId] <col2>[number]:[CreationDate] <col3>[time]:[CloseReasonTypeId] <col4>[number]:[CloseAsOffTopicReasonTypeId] <col5>[number]:[DuplicateOfQuestionId] <col6>[number]:[BelongsOnBaseHostAddress] } <table1>[CloseAsOffTopicReasonTypes] { <col0>[numbe... | WITH USER_BY_TAG AS ( SELECT ROW_NUMBER( ) OVER ( ORDER BY COUNT( * ) DESC ) AS Rank, u.Id AS "user_link", TagName, COUNT( * ) AS UpVotes FROM `<table15>` AS t INNER JOIN Post`<table15>` AS pt ON pt.TagId = t.Id INNER JOIN Posts AS p ON p.ParentId = pt.PostId INNER JOIN Votes AS v ON v.PostId = p.Id AND VoteTypeId = 2 ... | Top User Of a Peticular Tag in Sri Lanka.
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<table0>[table_name_58] { <col0>[circuit]:[VARCHAR] <col1>[winning_driver]:[VARCHAR] <col2>[name]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "luigi villoresi" AND `<col2>` = "lausanne grand prix" | What circuit did Luigi Villoresi win the Lausanne Grand Prix? |
<table0>[table_name_46] { <col0>[game]:[INTEGER] <col1>[score]:[VARCHAR] } | SELECT SUM( `<col0>` ) FROM `<table0>` WHERE `<col1>` = "87-92" | What is the Game # that scored 87-92? |
<table0>[central_fish_farm] { <col0>[date]:[DATE] <col1>[dissolved_oxygen]:[FLOAT] } | SELECT EXTRACT( MONTH FROM `<col0>` ) AS month, AVG( `<col1>` ) AS avg_dissolved_oxygen FROM `<table0>` WHERE `<col0>` BETWEEN '2021-01-01' AND '2021-12-31' GROUP BY month; | What is the average dissolved oxygen level for each month in 2021 at the Central Fish Farm? |
<table0>[Author] { <col0>[integer]:[text] <col1>[Affiliation]:[text] } <table1>[Conference] { <col0>[integer]:[ShortName] <col1>[text]:[FullName] <col2>[text]:[HomePage] } <table2>[Journal] { <col0>[integer]:[ShortName] <col1>[text]:[FullName] <col2>[text]:[HomePage] } <table3>[Paper] { <col0>[integer]:[Title] <col1... | SELECT T2.Title FROM `<table4>` AS T1 INNER JOIN Paper AS T2 ON T1.PaperId = T2.Id WHERE T1.Name = 'Zuliang Du' ORDER BY T2.Year DESC LIMIT 1 | Provide the title of the latest publication published by it's author 'Zuliang Du'. |
<table0>[table_1590652_4] { <col0>[date]:[VARCHAR] <col1>[winning_score]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = 67 - 67 - 63 = 197 | Name the date of winning score being 67-67-63=197
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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 diagnoses ON `<table1>`.hadm_id = diagnoses.hadm_id INNER JOIN lab ON `<table1>`.hadm_id = lab.hadm_id WHERE diagnoses.short_title = "Fetal/neonatal jaund NOS" AND lab."CATEGORY" = "Blood Gas" | how many patients with fetal/neonatal jaund nos had a lab test for blood gas? |
<table0>[Customers] { <col0>[CustomerID]:[int] <col1>[CustomerName]:[varchar] <col2>[PreferredCategory]:[varchar] } <table1>[Orders] { <col0>[OrderID]:[int] <col1>[CustomerID]:[int] <col2>[ProductID]:[int] <col3>[Sustainable]:[boolean] } | SELECT c.PreferredCategory, COUNT( DISTINCT o.CustomerID ) as Total`<table0>` FROM `<table0>` c INNER JOIN Orders o ON c.CustomerID = o.CustomerID WHERE o.Sustainable = true GROUP BY c.PreferredCategory; | Show the total number of unique customers who have purchased sustainable clothing items, grouped by their preferred clothing category. |
<table0>[OrgDonations] { <col0>[OrgID]:[INT] <col1>[DonationAmount]:[INT] } | SELECT o.OrgName, SUM( d.DonationAmount ) FROM Organizations o CROSS JOIN OrgDonations d WHERE o.OrgID = d.OrgID AND YEAR( d.DonationDate ) = 2021 GROUP BY o.OrgName; | Find total donations for each org in '2021' with cross join |
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