schema stringlengths 20 14.6k | query stringlengths 17 2.58k | question stringlengths 8 1.06k |
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<table0>[table_41318] { <col0>[Medal]:[text] <col1>[text]:[Sport] <col2>[text]:[Event] <col3>[text]:[Date] } | SELECT "Sport" FROM `<table0>` WHERE "Name" = 'gustav larsson' | What is the Sport with a Name that is gustav larsson?
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<table0>[table_name_54] { <col0>[award]:[VARCHAR] <col1>[actor]:[VARCHAR] <col2>[year]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "forest whitaker" AND `<col2>` = 1989 | What award did Forest Whitaker win in 1989? |
<table0>[fairness_audits] { <col0>[INT]:[country] <col1>[VARCHAR]:[255] <col2>[processing_time]:[FLOAT] } | SELECT AVG( `<col2>` ) FROM `<table0>` WHERE country IN ( 'USA', 'Canada' ) | What is the average processing time for fairness audits in the United States and Canada? |
<table0>[table_name_37] { <col0>[silver]:[INTEGER] <col1>[rank]:[INTEGER] } | SELECT AVG( `<col0>` ) FROM `<table0>` WHERE `<col1>` < 1 | How many Silver medals did the Nation with a Rank of less than 1 receive? |
<table0>[employees] { <col0>[INT]:[name] <col1>[TEXT]:[job_category] <col2>[TEXT]:[salary] <col3>[INT]:[INSERT] } | SELECT job_category, COUNT( * ) as total_`<table0>`, AVG( salary ) as avg_salary FROM `<table0>` GROUP BY job_category; | List the total number of employees per job category and the average salary for each category in the HR database. |
<table0>[table_13183076_3] { <col0>[original_air_date]:[VARCHAR] <col1>[directed_by]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "Tricia Brock" | What is the Original air date for the episode directed by Tricia Brock?
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<table0>[provider] { <col0>[provider_id]:[INT] <col1>[name]:[VARCHAR] <col2>[location]:[VARCHAR] <col3>[patients_served]:[INT] } | SELECT location, COUNT( * ) FROM `<table0>` WHERE `<col3>` > 500 AND `<col2>` = 'Alaska' GROUP BY location; | What is the total number of healthcare providers in rural areas of Alaska, serving more than 500 patients? |
<table0>[betfront] { <col0>[year]:[number] <col1>[datetime]:[time] <col2>[country]:[text] <col3>[competion]:[text] <col4>[match]:[text] <col5>[home_opening]:[number] <col6>[draw_opening]:[number] <col7>[away_opening]:[number] <col8>[home_closing]:[number] <col9>[draw_closing]:[number] <col10>[away_closing]:[number] } ... | SELECT * FROM `<table1>` WHERE ( `<col8>` + `<col9>` ) = 0 | Which games had no goals scored at full time? |
<table0>[exists] { <col0>[cultural_competency_scores]:[score] <col1>[INT]:[race] <col2>[VARCHAR]:[255] <col3>[INSERT]:[cultural_competency_scores] <col4>[score]:[race] <col5>[VALUES]:[Hispanic] <col6>[African]:[American] } | SELECT MAX( score ), race FROM cultural_competency_scores GROUP BY race; | What is the maximum cultural competency score by race? |
<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 DISTINCT T2.CreditCardNumber FROM `<table0>` AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.First = 'Lisa' AND T1.Last = 'Ling' | Show the credit card number of Lisa Ling. |
<table0>[table_name_68] { <col0>[attendance]:[INTEGER] <col1>[home]:[VARCHAR] } | SELECT MIN( `<col0>` ) FROM `<table0>` WHERE `<col1>` = "pittsburgh" | What was the lowest attendance at a game when Pittsburgh was the home team? |
<table0>[table_name_8] { <col0>[legs]:[VARCHAR] <col1>[year]:[INTEGER] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` < 2009 | what is the legs when the year is earlier than 2009?
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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>[lab] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[itemid]:[text] <col3... | SELECT COUNT( DISTINCT `<table4>`.subject_id ) FROM `<table4>` INNER JOIN procedures ON `<table4>`.hadm_id = procedures.hadm_id WHERE `<table4>`.diagnosis = "PNEUMONIA" AND procedures.short_title = "Circumcision" | count the number of patients whose primary disease is pneumonia and procedure short title is circumcision? |
<table0>[SuggestedEditVotes] { <col0>[number]:[SuggestedEditId] <col1>[number]:[UserId] <col2>[number]:[VoteTypeId] <col3>[number]:[CreationDate] <col4>[time]:[TargetUserId] <col5>[number]:[TargetRepChange] } <table1>[PostNoticeTypes] { <col0>[number]:[ClassId] <col1>[number]:[text] <col2>[Body]:[text] <col3>[IsHidden... | SELECT Id AS "post_link" FROM `<table21>` WHERE Title LIKE '%Magento%' | Questions with 'Magento' in title. |
<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 T2.Headquarter, T1.Code FROM `<table1>` AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Headquarter ORDER BY T2.Headquarter DESC | For those records from the products and each product's manufacturer, draw a bar chart about the distribution of headquarter and the sum of code , and group by attribute headquarter, rank bar from high to low order. |
<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 COUNT( DISTINCT `<table1>`.subject_id ) FROM `<table1>` INNER JOIN procedures ON `<table1>`.hadm_id = procedures.hadm_id WHERE `<table1>`.diagnosis = "GASTROINTESTINAL BLEED" AND procedures.icd9_code = "14" | what is the number of patients whose primary disease is gastrointestinal bleed and procedure icd9 code is 14?
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<table0>[table_204_349] { <col0>[number]:[year] <col1>[number]:[conservative] <col2>[ncouncillors]:[number] <col3>[labour]:[ncouncillors] <col4>[number]:[independent] <col5>[ncouncillors]:[number] <col6>[liberal]:[ncouncillors] } | SELECT ( SELECT "liberal\ncouncillors" FROM `<table0>` WHERE "year" = 1957 ) > 4 | did the year 1957 have more or less than 4 liberal councillors ?
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<table0>[cost] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[event_type]:[text] <col4>[event_id]:[number] <col5>[chargetime]:[time] } <table1>[d_labitems] { <col0>[row_id]:[number] <col1>[itemid]:[number] <col2>[label]:[text] } <table2>[outputevents] { <col0>[row_id]:[number] <... | SELECT `<table8>`.startdate FROM `<table8>` WHERE `<table8>`.hadm_id IN ( SELECT `<table7>`.hadm_id FROM `<table7>` WHERE `<table7>`.subject_id = 9297 ) AND `<table8>`.route = 'vg' AND DATETIME( `<table8>`.startdate ) <= DATETIME( CURRENT_TIME( ), '-6 month' ) ORDER BY `<table8>`.startdate DESC LIMIT 1 | when was the last time until 6 months ago that patient 9297 was prescribed a medication via vg?
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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>[diagnoses] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icd9_code]:[te... | SELECT COUNT( DISTINCT `<table3>`.subject_id ) FROM `<table3>` INNER JOIN procedures ON `<table3>`.hadm_id = procedures.hadm_id WHERE `<table3>`.insurance = "Self Pay" AND procedures.long_title = "Open biopsy of soft tissue" | give me the number of patients whose insurance is self pay and procedure long title is open biopsy of soft tissue? |
<table0>[healthcare_sector] { <col0>[year]:[INT] <col1>[incidents]:[INT] } | SELECT `<col1>` FROM `<table0>` WHERE `<col0>` = 2021; | How many security incidents were reported in the healthcare sector in 2021? |
<table0>[table_name_59] { <col0>[december]:[INTEGER] <col1>[opponent]:[VARCHAR] <col2>[game]:[VARCHAR] } | SELECT SUM( `<col0>` ) FROM `<table0>` WHERE `<col1>` = "vancouver canucks" AND `<col2>` < 33 | What is the sum for December against the vancouver canucks earlier than game 33?
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<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 t2.drugname FROM ( SELECT `<table6>`.uniquepid, `<table1>`.`<table1>`time, `<table6>`.`<table6>`healthsystemstayid FROM `<table1>` JOIN `<table6>` ON `<table1>`.`<table6>`unitstayid = `<table6>`.`<table6>`unitstayid WHERE `<table6>`.`<table6>`healthsystemstayid IN ( SELECT `<table6>`.`<table6>`healthsystemstayid... | what is the name of the drug that patient 015-33415 was prescribed after the pneumonia diagnosis until 06/2105, in the same hospital encounter? |
<table0>[table_1507423_5] { <col0>[top_10]:[VARCHAR] <col1>[position]:[VARCHAR] } | SELECT COUNT( `<col0>` ) FROM `<table0>` WHERE `<col1>` = "78th" | How many entries arr there for the top 10 for the 78th position?
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<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 SUM( `<table7>`.cellvaluenumeric ) FROM `<table7>` WHERE `<table7>`.`<table9>`unitstayid IN ( SELECT `<table9>`.`<table9>`unitstayid FROM `<table9>` WHERE `<table9>`.`<table9>`healthsystemstayid IN ( SELECT `<table9>`.`<table9>`healthsystemstayid FROM `<table9>` WHERE `<table9>`.uniquepid = '016-9636' ) ) AND `<... | what was the total output of patient 016-9636's ileostomy on this month/29? |
<table0>[t_kc22] { <col0>[MED_EXP_DET_ID]:[text] <col1>[OVERALL_CD_ORG]:[text] <col2>[OVERALL_CD_PERSON]:[text] <col3>[MED_CLINIC_ID]:[text] <col4>[MED_EXP_BILL_ID]:[text] <col5>[SOC_SRT_DIRE_CD]:[text] <col6>[SOC_SRT_DIRE_NM]:[text] <col7>[DIRE_TYPE]:[number] <col8>[CHA_ITEM_LEV]:[number] <col9>[MED_INV_ITEM_TYPE]:[te... | SELECT OUT_DIAG_DIS_CD, `<col21>` FROM `<table1>` WHERE `<col4>` = '61021790' AND `<col0>` IN ( SELECT `<col0>` FROM `<table2>` WHERE `<col30>` >= 5648.4 ) | 这个号码是61021790病患所交的医疗费总费用大于5648.4元的医疗记录有啥，办理出院的诊断里有什么病，病名和编号多少？
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<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>[ReviewTasks] { <col0>[number]... | SELECT SUM( CASE WHEN HadTag = 1 AND HasTag = 0 THEN 1 ELSE 0 END ) AS TagRemoved, SUM( CASE WHEN HadTag = 0 AND HasTag = 1 THEN 1 ELSE 0 END ) AS TagAdded, SUM( CASE WHEN HadTag = 1 AND HasTag = 1 THEN 1 ELSE 0 END ) AS TagPersisted, SUM( CASE WHEN HadTag = 1 OR HasTag = 1 THEN 1 ELSE 0 END ) AS Total FROM ( SELECT CA... | Questions with a specific tag both at first and current revision.
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<table0>[cultural_sites] { <col0>[site_id]:[INT] <col1>[name]:[TEXT] <col2>[country]:[TEXT] <col3>[url]:[TEXT] } | SELECT name, `<col3>` FROM `<table0>` WHERE `<col2>` = 'Japan'; | List all cultural heritage sites in Japan with their respective virtual tour URLs. |
<table0>[gsi] { <col0>[course_offering_id]:[int] <col1>[student_id]:[int] } <table1>[program_requirement] { <col0>[program_id]:[int] <col1>[category]:[varchar] <col2>[min_credit]:[int] <col3>[additional_req]:[varchar] } <table2>[offering_instructor] { <col0>[offering_instructor_id]:[int] <col1>[offering_id]:[int] <co... | SELECT DISTINCT course.department, course.name, course.number FROM course, program, program_course WHERE course.department <> 'ROMLANG' AND program_course.course_id = course.course_id AND program.program_id = program_course.program_id | Name the courses that are mandotary for the major but not in the ROMLANG department .
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<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( * ) > 0 FROM `<table2>` WHERE `<table2>`.`<table6>`unitstayid IN ( SELECT `<table6>`.`<table6>`unitstayid FROM `<table6>` WHERE `<table6>`.`<table6>`healthsystemstayid IN ( SELECT `<table6>`.`<table6>`healthsystemstayid FROM `<table6>` WHERE `<table6>`.uniquepid = '017-49538' ) AND `<table6>`.unitdischarg... | did patient 017-49538's sao2, on the current icu visit, have been normal?
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<table0>[semester] { <col0>[semester_id]:[int] } <table1>[requirement] { <col0>[requirement_id]:[int] } <table2>[course_prerequisite] { <col0>[pre_course_id]:[int] <col1>[course_id]:[int] } <table3>[campus_job_id] { <col0>[int]:[student_id] <col1>[int]:[location] } <table4>[area] { <col0>[course_id]:[int] } <table... | SELECT DISTINCT `<table5>`.department, `<table5>`.name, `<table5>`.number, program_`<table5>`.workload FROM `<table5>` INNER JOIN student_record ON student_record.`<table5>`_id = `<table5>`.`<table5>`_id INNER JOIN program_`<table5>` ON program_`<table5>`.`<table5>`_id = `<table5>`.`<table5>`_id WHERE `<table5>`.depart... | Have I taken any courses that are among the most difficult in the NERS department ? |
<table0>[solar_projects] { <col0>[INT]:[name] <col1>[VARCHAR]:[255] <col2>[location]:[VARCHAR] <col3>[255]:[co2_emissions] } | SELECT SUM( co2_emissions ) FROM `<table0>` WHERE `<col2>` LIKE '%European Union%'; | Find total CO2 emissions for solar projects in the European Union |
<table0>[jobs] { <col0>[JOB_ID]:[varchar] <col1>[JOB_TITLE]:[varchar] <col2>[MIN_SALARY]:[decimal] <col3>[MAX_SALARY]:[decimal] } <table1>[countries] { <col0>[COUNTRY_ID]:[varchar] <col1>[COUNTRY_NAME]:[varchar] <col2>[REGION_ID]:[decimal] } <table2>[locations] { <col0>[LOCATION_ID]:[decimal] <col1>[STREET_ADDRESS]:[... | SELECT HIRE_DATE, `<col8>` FROM `<table4>` WHERE NOT `<col10>` IN ( SELECT `<col10>` FROM `<table5>` WHERE `<col9>` BETWEEN 100 AND 200 ) ORDER BY `<col5>` | For those employees who do not work in departments with managers that have ids between 100 and 200, a line chart shows the change of commission_pct over hire_date, and sort X in asc order. |
<table0>[catalog_structure] { <col0>[catalog_level_number]:[number] <col1>[catalog_id]:[number] <col2>[catalog_level_name]:[text] } <table1>[catalogs] { <col0>[catalog_id]:[number] <col1>[catalog_name]:[text] <col2>[catalog_publisher]:[text] <col3>[date_of_publication]:[time] <col4>[date_of_latest_revision]:[time] } ... | SELECT `<col5>` FROM `<table4>` WHERE `<col4>` > 8 | What are the catalog entry names of the products with next entry ID above 8?
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<table0>[table_26723] { <col0>[Week]:[real] <col1>[Date]:[text] <col2>[Kickoff]:[text] <col3>[Opponent]:[text] <col4>[Final]:[score] <col5>[text]:[Team] <col6>[record]:[text] <col7>[Game]:[site] <col8>[text]:[Attendance] } | SELECT "Date" FROM `<table0>` WHERE "Week" = '8' | What date did the team play on week 8?
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<table0>[table_54376] { <col0>[Year]:[real] <col1>[Category]:[text] <col2>[Nominee]:[text] <col3>[Episode]:[text] <col4>[Result]:[text] } | SELECT "Episode" FROM `<table0>` WHERE "Year" = '2004' AND "Nominee( s )" = 'jenny bicks and cindy chupack' | Name the episode for jenny bicks and cindy chupack nominees in 2004
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<table0>[initiatives] { <col0>[INT]:[launch_date] <col1>[DATE]:[region] <col2>[VARCHAR]:[255] } | SELECT COUNT( * ) FROM `<table0>` WHERE region = 'Asia' AND launch_date >= '2016-01-01'; | How many ethical AI initiatives were launched in Asia in the last 5 years? |
<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>[Users] { <col0>[num... | SELECT DISTINCT 'http://stackoverflow.com/q/' + LTRIM( STR( p.Id ) ) AS Url, p.Title FROM `<table16>` AS p LEFT JOIN PostTags AS pt ON p.Id = pt.PostId LEFT JOIN Tags AS t ON pt.TagId = t.Id LEFT JOIN PostTags AS pt2 ON p.Id = pt2.PostId LEFT JOIN Tags AS t2 ON pt2.TagId = t2.Id WHERE PostTypeId = 1 AND t.TagName = 'ra... | Questions with a specific tag and the tag raw.
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<table0>[EconomicImpact] { <col0>[region]:[VARCHAR] <col1>[impact]:[FLOAT] <col2>[type]:[VARCHAR] } | SELECT SUM( `<col1>` ) FROM `<table0>` WHERE `<col0>` = 'Australia' AND `<col2>` = 'eco-tourism'; | Determine the total economic impact of eco-tourism in Australia. |
<table0>[table_33746] { <col0>[Couple]:[text] <col1>[Place]:[real] <col2>[real]:[real] <col3>[Tot]:[real] } | SELECT MIN( "Place" ) FROM `<table0>` WHERE "Tot. ( 1+2 )" > '37' AND "Wk 1" > '20' | What is the place of the team that had a total score larger than 37 and a week one score above 20? |
<table0>[PostTypes] { <col0>[number]:[text] } <table1>[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]... | SELECT ROW_NUMBER( ) OVER ( ORDER BY Reputation DESC ) AS "rank", Id AS "user_link", Id, Reputation, counts."#_posts", Reputation / counts."#_posts" AS "rep_per_post" FROM `<table16>` JOIN LATERAL ( SELECT COUNT( * ) FROM `<table19>` WHERE `<table19>`.OwnerUserId = `<table16>`.Id ) AS counts( "#_posts" ) WHERE counts."... | Your Posting Quality (Reputation per Posts). Enter your user ID and find out how much rep you earn per post
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<table0>[table_42845] { <col0>[Date]:[text] <col1>[Home]:[team] <col2>[text]:[Score] <col3>[text]:[Away] <col4>[team]:[text] <col5>[Venue]:[text] <col6>[Competition]:[text] } | SELECT "Away team" FROM `<table0>` WHERE "Home team" = 'leeds united' AND "Competition" = 'league cup' | Who is the away team for the tome team Leeds United, at the League Cup Competition?
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<table0>[film_market_estimation] { <col0>[Estimation_ID]:[int] <col1>[Low_Estimate]:[real] <col2>[High_Estimate]:[real] <col3>[Film_ID]:[int] <col4>[Type]:[text] <col5>[Market_ID]:[int] <col6>[Year]:[int] } <table1>[market] { <col0>[Market_ID]:[int] <col1>[Country]:[text] <col2>[Number_cities]:[int] } <table2>[film] ... | SELECT Title, COUNT( `<col1>` ) FROM `<table2>` AS T1 JOIN `<table2>`_market_estimation AS T2 ON T1.Film_ID = T2.Film_ID GROUP BY Type, `<col1>` | Use a stacked bar chart to show how many films for each title and each type. The x-axis is title.
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<table0>[table_name_95] { <col0>[home_team]:[VARCHAR] <col1>[crowd]:[INTEGER] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` > 20 OFFSET 000 | What home team has had a crowd bigger than 20,000? |
<table0>[locations] { <col0>[LOCATION_ID]:[decimal] <col1>[STREET_ADDRESS]:[varchar] <col2>[POSTAL_CODE]:[varchar] <col3>[CITY]:[varchar] <col4>[STATE_PROVINCE]:[varchar] <col5>[COUNTRY_ID]:[varchar] } <table1>[countries] { <col0>[COUNTRY_ID]:[varchar] <col1>[COUNTRY_NAME]:[varchar] <col2>[REGION_ID]:[decimal] } <tab... | SELECT HIRE_DATE, SUM( `<col7>` ) FROM `<table4>` WHERE NOT `<col0>` IN ( SELECT `<col0>` FROM `<table6>` ) ORDER BY SUM( `<col7>` ) DESC | For those employees who did not have any job in the past, show me about the distribution of hire_date and the sum of salary bin hire_date by weekday in a bar chart, I want to sort y axis in descending order. |
<table0>[Crimes] { <col0>[crime_id]:[INT] <col1>[crime_type]:[VARCHAR] <col2>[neighborhood]:[VARCHAR] <col3>[date]:[DATE] } | SELECT `<col2>` FROM `<table0>` WHERE `<col1>` IN ( 'Burglary', 'Theft' ) AND `<col3>` >= DATEADD( month, -1, CURRENT_TIMESTAMP ) GROUP BY `<col2>` HAVING COUNT( DISTINCT `<col1>` ) = 2; | List the unique neighborhoods where both 'Burglary' and 'Theft' occurred in the last month. |
<table0>[jobs] { <col0>[JOB_ID]:[varchar] <col1>[JOB_TITLE]:[varchar] <col2>[MIN_SALARY]:[decimal] <col3>[MAX_SALARY]:[decimal] } <table1>[regions] { <col0>[REGION_ID]:[decimal] <col1>[REGION_NAME]:[varchar] } <table2>[countries] { <col0>[COUNTRY_ID]:[varchar] <col1>[COUNTRY_NAME]:[varchar] <col2>[REGION_ID]:[decimal... | SELECT HIRE_DATE, AVG( `<col10>` ) FROM `<table5>` WHERE `<col5>` < '2002-06-21' ORDER BY AVG( `<col10>` ) | For those employees who was hired before 2002-06-21, find hire_date and the average of department_id bin hire_date by time, and visualize them by a bar chart, and could you show by the Y-axis from low to high please? |
<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 JOB_ID, `<col10>` FROM `<table0>` WHERE NOT `<col10>` IN ( SELECT `<col10>` FROM `<table4>` WHERE `<col9>` BETWEEN 100 AND 200 ) ORDER BY `<col6>` | For those employees who do not work in departments with managers that have ids between 100 and 200, find job_id and department_id , and visualize them by a bar chart, could you show in ascending by the x-axis? |
<table0>[geographic] { <col0>[city]:[text] <col1>[county]:[text] <col2>[region]:[text] } <table1>[generalinfo] { <col0>[id_restaurant]:[integer] <col1>[label]:[text] <col2>[food_type]:[text] <col3>[city]:[text] <col4>[review]:[real] } <table2>[location] { <col0>[id_restaurant]:[integer] <col1>[street_num]:[integer] <... | SELECT DISTINCT T2.county, T2.region FROM `<table2>` AS T1 INNER JOIN geographic AS T2 ON T1.city = T2.city WHERE T1.street_name = 'E. El Camino Real' | Which county and region does the street E. El Camino Real belong to? |
<table0>[table_11961582_10] { <col0>[high_points]:[VARCHAR] <col1>[high_assists]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "J. Johnson ( 7 )" | How had the high points when the high assists were from J. Johnson (7)? |
<table0>[table_train_176] { <col0>[int]:[systolic_blood_pressure_sbp] <col1>[int]:[hemoglobin_a1c_hba1c] <col2>[float]:[estimated_glomerular_filtration_rate_egfr] <col3>[int]:[blood_glucose] <col4>[int]:[hypoglycemia] <col5>[bool]:[total_cholesterol] <col6>[int]:[low_density_lipoprotein_ldl_cholesterol] <col7>[int]:[tr... | SELECT * FROM `<table0>` WHERE systolic_blood_pressure_sbp < 140 | resting systolic blood pressure ( sbp ) < 140 |
<table0>[Rooms] { <col0>[bedType]:[VARCHAR] } | SELECT COUNT( DISTINCT `<col0>` ) FROM `<table0>` | How many different types of beds are there? |
<table0>[energy_efficiency] { <col0>[country]:[VARCHAR] <col1>[score]:[FLOAT] } | SELECT AVG( `<col1>` ) as avg_score, `<col0>` FROM `<table0>` GROUP BY country; | What is the average energy efficiency score in India and China? |
<table0>[table_16200] { <col0>[Institution]:[text] <col1>[Nickname]:[text] <col2>[Location]:[text] <col3>[Founded]:[real] <col4>[Type]:[text] <col5>[Enrollment]:[real] } | SELECT COUNT( "Founded" ) FROM `<table0>` WHERE "Institution" = 'Carlow University 1' | how many founded dates are listed for carlow university 1
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<table0>[table_name_97] { <col0>[attendance]:[INTEGER] <col1>[home]:[VARCHAR] } | SELECT MIN( `<col0>` ) FROM `<table0>` WHERE `<col1>` = "los angeles" | What is the least number of people to attend a game when Los Angeles was the home team?
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<table0>[table_name_40] { <col0>[away_team]:[VARCHAR] <col1>[date]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "sunday, 13 february" | Who was the away team on sunday, 13 february? |
<table0>[table_14098_1] { <col0>[country_or_territory_with_flag]:[VARCHAR] <col1>[capital]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "Santiago" | What country'c capital is santiago? |
<table0>[arctic_marine_protected_areas] { <col0>[INT]:[name] <col1>[TEXT]:[region] <col2>[TEXT]:[min_depth] <col3>[FLOAT]:[INSERT] } | SELECT MIN( min_depth ) FROM `<table0>` WHERE region = 'Arctic'; | What is the minimum depth of marine protected areas in the Arctic Ocean region? |
<table0>[bankruptcy_law] { <col0>[case_id]:[INT] <col1>[filing_date]:[DATE] <col2>[chapter]:[VARCHAR] } | WITH updated_cases AS ( UPDATE bankruptcy_law SET chapter = '13' WHERE EXTRACT( YEAR FROM filing_date ) = 2018 RETURNING * ) SELECT * FROM updated_cases; | Update the 'bankruptcy_law' table and set the 'chapter' column to '13' for all cases filed in 2018 |
<table0>[table_name_29] { <col0>[time_retired]:[VARCHAR] <col1>[laps]:[VARCHAR] <col2>[grid]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` < 33 AND `<col2>` = 14 | What was the time/retired with laps less than 33 and a grid of 14?
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<table0>[table_name_64] { <col0>[points]:[VARCHAR] <col1>[races]:[VARCHAR] <col2>[season]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "11" AND `<col2>` > 2008 | If the Season is later than 2008 and Races is 11, what ate the Points? |
<table0>[table_name_47] { <col0>[b_score]:[INTEGER] <col1>[position]:[VARCHAR] <col2>[total]:[VARCHAR] } | SELECT AVG( `<col0>` ) FROM `<table0>` WHERE `<col1>` = "2nd" AND `<col2>` < 15.525 | Can you tell me the average B Score that has the Position of 2nd, and the Total smaller than 15.525?
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<table0>[table_name_40] { <col0>[name_and_flag]:[VARCHAR] <col1>[water_area__km_2]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE water_area__km_2__ = 0 | Which province and flag has a water area (km 2) of 0?
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<table0>[production] { <col0>[year]:[INT] <col1>[region]:[VARCHAR] <col2>[element]:[VARCHAR] <col3>[quantity]:[INT] } | SELECT ( SUM( CASE WHEN `<col1>` = 'Asia' THEN `<col3>` ELSE 0 END ) / SUM( `<col3>` ) ) * 100.0 FROM `<table0>` WHERE `<col2>` = 'Holmium' AND `<col0>` = 2020 | What is the percentage of Holmium production that comes from 'Asia' in 2020? |
<table0>[party_events] { <col0>[Event_ID]:[int] <col1>[Event_Name]:[text] <col2>[Party_ID]:[int] <col3>[Member_in_charge_ID]:[int] } <table1>[party] { <col0>[Party_ID]:[int] <col1>[Minister]:[text] <col2>[Took_office]:[text] <col3>[Left_office]:[text] <col4>[Region_ID]:[int] <col5>[Party_name]:[text] } <table2>[membe... | SELECT Party_name, COUNT( * ) FROM `<table2>` AS T1 JOIN party AS T2 ON T1.Party_ID = T2.Party_ID GROUP BY T1.Party_ID ORDER BY Party_name | Show all party names and the number of members in each party with a bar chart, rank by the Party_name from low to high please. |
<table0>[ProjectBudgets] { <col0>[INT]:[project_name] <col1>[VARCHAR]:[255] <col2>[start_date]:[DATE] <col3>[end_date]:[DATE] <col4>[budget]:[DECIMAL] } | SELECT AVG( `<col4>` ) FROM `<table0>` WHERE `<col2>` BETWEEN '2017-07-01' AND '2018-06-30'; | Find the average budget of defense projects that started between July 1st, 2017 and June 30th, 2018. |
<table0>[table_29583818_3] { <col0>[place]:[VARCHAR] <col1>[couple]:[VARCHAR] } | SELECT COUNT( `<col0>` ) FROM `<table0>` WHERE `<col1>` = "Laura and Colin" | How many times is the couple laura and colin? |
<table0>[MentalHealthParity] { <col0>[State]:[VARCHAR] <col1>[Coverage]:[DECIMAL] } | SELECT State, Coverage, RANK( ) OVER( ORDER BY `<col1>` DESC ) as rnk FROM `<table0>` WHERE rnk <= 3; | Identify the top three states with the highest percentage of mental health parity coverage. |
<table0>[admissions] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[admittime]:[time] <col4>[dischtime]:[time] <col5>[admission_type]:[text] <col6>[admission_location]:[text] <col7>[discharge_location]:[text] <col8>[insurance]:[text] <col9>[language]:[text] <col10>[marital_status]... | SELECT `<table0>`.marital_status FROM `<table0>` WHERE `<table0>`.subject_id = 17667 AND `<table0>`.dischtime IS NULL | what is the marital status of patient 17667 in the current hospital encounter? |
<table0>[table_name_54] { <col0>[chapter]:[INTEGER] <col1>[pinyin]:[VARCHAR] <col2>[articles]:[VARCHAR] } | SELECT MIN( `<col0>` ) FROM `<table0>` WHERE `<col1>` = "dehua" AND `<col2>` < 16 | Can you tell me the lowest Chapter that has the Pinyin of dehua, and the Articles smaller than 16? |
<table0>[table_name_4] { <col0>[gold]:[INTEGER] <col1>[silver]:[VARCHAR] <col2>[bronze]:[VARCHAR] } | SELECT MIN( `<col0>` ) FROM `<table0>` WHERE `<col1>` = 4 AND `<col2>` > 4 | What is the fewest gold medals for the nation with 4 silvers and more than 4 bronze? |
<table0>[events] { <col0>[INT]:[name] <col1>[VARCHAR]:[255] <col2>[date]:[DATE] <col3>[attendees]:[INT] } | SELECT MAX( attendees ) FROM events; | What is the maximum number of attendees for any cultural event? |
<table0>[table_73343] { <col0>[Team]:[text] <col1>[Stadium]:[text] <col2>[Match]:[played] <col3>[text]:[Highest] <col4>[real]:[Lowest] <col5>[real]:[Average] } | SELECT "Team" FROM `<table0>` WHERE "Match played" = '10 4' | Which team has a match played of 10 4?
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<table0>[table_name_13] { <col0>[total]:[INTEGER] <col1>[floor_exercise]:[VARCHAR] <col2>[rank]:[VARCHAR] } | SELECT MIN( `<col0>` ) FROM `<table0>` WHERE `<col1>` < 36.724 AND `<col2>` < 8 | What's the lowest total when the floor exercise is less than 36.724 and the rank is lower than 8? |
<table0>[table_name_87] { <col0>[result_f___a]:[VARCHAR] <col1>[league_position]:[VARCHAR] <col2>[date]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "1st" AND `<col2>` = "4 january 1994" | Name the Result F A that has a League position of 1st on 4 january 1994? |
<table0>[table_57932] { <col0>[Club]:[Team] <col1>[text]:[League] <col2>[text]:[Venue] <col3>[text]:[Established] <col4>[real]:[Premierships] } | SELECT "Premierships" FROM `<table0>` WHERE "League" = 'commonwealth bank trophy' | How many premierships for the commonwealth bank trophy league?
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<table0>[PostHistoryTypes] { <col0>[number]:[text] } <table1>[FlagTypes] { <col0>[number]:[text] <col1>[Description]:[text] } <table2>[ReviewTaskResults] { <col0>[number]:[ReviewTaskId] <col1>[number]:[ReviewTaskResultTypeId] <col2>[number]:[CreationDate] <col3>[time]:[RejectionReasonId] <col4>[number]:[Comment] } <... | SELECT ( Title ) FROM `<table18>` WHERE CreationDate > '2016-11-05 14:29:36' | Titles from last 6 months. |
<table0>[Accounts] { <col0>[AccountId]:[INT] <col1>[AccountType]:[VARCHAR] } <table1>[Transactions] { <col0>[TransactionId]:[INT] <col1>[AccountId]:[INT] <col2>[TransactionType]:[VARCHAR] <col3>[DECIMAL]:[INSERT] } | SELECT A.AccountId, A.AccountType FROM `<table0>` A LEFT JOIN Transactions T ON A.AccountId = T.AccountId WHERE A.AccountType = 'Checking' AND T.TransactionId IS NULL; | What are the Checking accounts without any transactions? |
<table0>[basketball_match] { <col0>[Team_ID]:[int] <col1>[School_ID]:[int] <col2>[Team_Name]:[text] <col3>[ACC_Regular_Season]:[text] <col4>[ACC_Percent]:[text] <col5>[ACC_Home]:[text] <col6>[ACC_Road]:[text] <col7>[All_Games]:[text] <col8>[All_Games_Percent]:[int] <col9>[All_Home]:[text] <col10>[All_Road]:[text] <col1... | SELECT All_Neutral, `<col1>` FROM `<table0>` ORDER BY `<col1>` | Show me about the distribution of All_Neutral and School_ID in a bar chart, and display in ascending by the School_ID. |
<table0>[food_service] { <col0>[meal_code]:[text] <col1>[meal_number]:[int] <col2>[compartment]:[text] <col3>[meal_description]:[varchar] } <table1>[airport_service] { <col0>[city_code]:[varchar] <col1>[airport_code]:[varchar] <col2>[miles_distant]:[int] <col3>[direction]:[varchar] <col4>[minutes_distant]:[int] } <ta... | SELECT DISTINCT fare.fare_id FROM `<table1>` AS AIRPORT_SERVICE_0, `<table1>` AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, flight, flight_fare 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 = 'WA... | what are the fares for flights between BOSTON and WASHINGTON |
<table0>[procedures_icd] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icd9_code]:[text] <col4>[charttime]:[time] } <table1>[inputevents_cv] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[charttime]:[time] <col5>... | SELECT t3.drug FROM ( SELECT t2.drug, DENSE_RANK( ) OVER ( ORDER BY COUNT( * ) DESC ) AS c1 FROM ( SELECT admissions.subject_id, `<table0>`.charttime FROM `<table0>` JOIN admissions ON `<table0>`.hadm_id = admissions.hadm_id WHERE `<table0>`.icd9_code = ( SELECT `<table5>`.icd9_code FROM `<table5>` WHERE `<table5>`.sho... | what is the top three most common medications that followed within 2 months for patients who received cont inv mec ven 96+ hrs until 4 years ago? |
<table0>[table_name_49] { <col0>[magnitude]:[VARCHAR] <col1>[date]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "may 28, 2004" | What is the Magnitude on the Date May 28, 2004? |
<table0>[activities] { <col0>[INT]:[name] <col1>[TEXT]:[country] <col2>[TEXT]:[rating] <col3>[INT]:[sustainability_rating] <col4>[INT]:[INSERT] } | SELECT AVG( rating ) FROM `<table0>` WHERE country = 'Australia' AND sustainability_rating = 5; | What is the average rating of sustainable tourism activities in Australia? |
<table0>[college] { <col0>[state]:[VARCHAR] <col1>[enr]:[INTEGER] } | SELECT COUNT( DISTINCT `<col0>` ) FROM `<table0>` WHERE `<col1>` > ( SELECT AVG( `<col1>` ) FROM `<table0>` ) | What is the number of states that has some college whose enrollment is larger than the average enrollment?
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<table0>[table_18953] { <col0>[real]:[Title] <col1>[text]:[Director] <col2>[text]:[Written] <col3>[text]:[Original] <col4>[Air]:[Date] <col5>[text]:[Production] } | SELECT "Written by" FROM `<table0>` WHERE "Title" = 'Mercury Falling' | Who wrote the episode called 'mercury falling'?
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<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 T2.Founder, T1.Code FROM `<table1>` AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Founder | For those records from the products and each product's manufacturer, give me the comparison about the sum of code over the founder , and group by attribute founder by a bar chart.
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<table0>[table_name_24] { <col0>[away_team]:[VARCHAR] } | SELECT `<col0>` AS score FROM `<table0>` WHERE `<col0>` = "north melbourne" | What is the Away Team score of North Melbourne?
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<table0>[table_68196] { <col0>[Year]:[real] <col1>[English]:[title] <col2>[text]:[Original] <col3>[title]:[text] <col4>[Country]:[text] <col5>[Director]:[text] } | SELECT "Country" FROM `<table0>` WHERE "Director'" = 'alfonso cuarón' | What country is the film directed by Alfonso Cuar n from?
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<table0>[Missions] { <col0>[INT]:[name] <col1>[VARCHAR]:[company] <col2>[VARCHAR]:[mission_type] <col3>[VARCHAR]:[duration] <col4>[INT]:[INSERT] } | SELECT MAX( duration ) FROM `<table0>` WHERE company = 'Interplanetary Inc.' AND mission_type = 'Venus'; | What is the maximum duration of Venus missions conducted by 'Interplanetary Inc.'? |
<table0>[college] { <col0>[cname]:[text] <col1>[state]:[text] <col2>[enr]:[number] } <table1>[tryout] { <col0>[pid]:[number] <col1>[cname]:[text] <col2>[ppos]:[text] <col3>[decision]:[text] } <table2>[player] { <col0>[pid]:[number] <col1>[pname]:[text] <col2>[ycard]:[text] } | SELECT * FROM `<table0>` ORDER BY `<col2>` | What information do you have on colleges sorted by increasing enrollment numbers? |
<table0>[Customer_Policies] { <col0>[Policy_ID]:[INTEGER] <col1>[Customer_ID]:[INTEGER] <col2>[Policy_Type_Code]:[CHAR] <col3>[Start_Date]:[DATE] <col4>[End_Date]:[DATE] } <table1>[Claims] { <col0>[Claim_ID]:[INTEGER] <col1>[Policy_ID]:[INTEGER] <col2>[Date_Claim_Made]:[DATE] <col3>[Date_Claim_Settled]:[DATE] <col4>[A... | SELECT Date_Claim_Settled, COUNT( `<col3>` ) FROM `<table4>` GROUP BY `<col3>` ORDER BY `<col3>` | Plot date claim settled by the number of date claim settled as a line chart, and list by the X from low to high.
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<table0>[table_name_5] { <col0>[artist]:[VARCHAR] <col1>[percentage]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "17.14%" | What Artist had a Percentage of 17.14%? |
<table0>[PostHistoryTypes] { <col0>[number]:[text] } <table1>[SuggestedEditVotes] { <col0>[number]:[SuggestedEditId] <col1>[number]:[UserId] <col2>[number]:[VoteTypeId] <col3>[number]:[CreationDate] <col4>[time]:[TargetUserId] <col5>[number]:[TargetRepChange] } <table2>[ReviewRejectionReasons] { <col0>[number]:[text]... | WITH Raw AS ( SELECT OwnerUserId AS UserId FROM `<table8>` WHERE CreationDate > DATEADD( d, -60, CURRENT_TIMESTAMP( ) ) AND OwnerUserId > 0 UNION SELECT UserId FROM `<table13>` WHERE CreationDate > DATEADD( d, -60, CURRENT_TIMESTAMP( ) ) AND UserId > 0 ), Raw2 AS ( SELECT UserId FROM Raw GROUP BY UserId ), Raw3 AS ( SE... | Percentage of the total rep of users with 'monica' substring (only active in the last 2 months). |
<table0>[Addresses] { <col0>[address_id]:[INTEGER] <col1>[line_1]:[VARCHAR] <col2>[120]:[line_2] <col3>[VARCHAR]:[120] <col4>[line_3]:[VARCHAR] <col5>[120]:[city] <col6>[VARCHAR]:[zip_postcode] <col7>[VARCHAR]:[state_province_county] <col8>[VARCHAR]:[country] <col9>[VARCHAR]:[other_address_details] <col10>[VARCHAR]:[25... | SELECT date_address_to, SUM( `<col4>` ) FROM `<table2>` GROUP BY other_details, `<col3>` ORDER BY `<col4>` DESC | Draw a line chart about the change of the sum of monthly_rental over date_address_to , and group by attribute other_details.
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<table0>[ReviewTaskResults] { <col0>[number]:[ReviewTaskId] <col1>[number]:[ReviewTaskResultTypeId] <col2>[number]:[CreationDate] <col3>[time]:[RejectionReasonId] <col4>[number]:[Comment] } <table1>[Badges] { <col0>[number]:[UserId] <col1>[number]:[text] <col2>[Date]:[time] <col3>[Class]:[number] <col4>[TagBased]:[boo... | SELECT p.Score, p.Id AS "post_link", p.ViewCount, p.OwnerUserId AS "user_link", p.CreationDate FROM `<table13>` AS p INNER JOIN PostHistory AS h ON h.PostId = p.Id WHERE NOT p.ClosedDate IS NULL AND p.ClosedDate = h.CreationDate AND h.PostHistoryTypeId = 10 AND h.Comment = '1' AND NOT p.Body LIKE '%<strong>Possible Dup... | Duplicates that are missing the 'Possible Duplicate' bit. |
<table0>[CloseAsOffTopicReasonTypes] { <col0>[number]:[IsUniversal] <col1>[boolean]:[InputTitle] <col2>[text]:[MarkdownInputGuidance] <col3>[text]:[MarkdownPostOwnerGuidance] <col4>[text]:[MarkdownPrivilegedUserGuidance] <col5>[text]:[MarkdownConcensusDescription] <col6>[text]:[CreationDate] <col7>[time]:[CreationModer... | SELECT ROW_NUMBER( ) OVER ( ORDER BY Reputation DESC ) AS "#", Id AS "user_link", Reputation FROM `<table8>` WHERE LOWER( Location ) LIKE '%hong kong%' OR UPPER( Location ) LIKE '%HK' ORDER BY Reputation DESC | Hong Kong users by reputation. |
<table0>[FarmD] { <col0>[species]:[VARCHAR] <col1>[country]:[VARCHAR] <col2>[quantity]:[INT] <col3>[farming_method]:[VARCHAR] } | SELECT country, species, SUM( `<col2>` ) FROM `<table0>` WHERE `<col3>` = 'Sustainable' GROUP BY country, species; | List the types of fish and their quantities farmed in each country using sustainable methods. |
<table0>[table_203_355] { <col0>[number]:[year] <col1>[number]:[total] <col2>[number]:[romanians] <col3>[text]:[hungarians] <col4>[text]:[roma] } | SELECT "year" FROM `<table0>` ORDER BY "total" DESC LIMIT 1 | what year had the highest total number ?
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<table0>[marine_species] { <col0>[INT]:[PRIMARY] <col1>[KEY]:[name] <col2>[VARCHAR]:[habitat] <col3>[VARCHAR]:[population] } <table1>[conservation_efforts] { <col0>[INT]:[PRIMARY] <col1>[KEY]:[species_id] <col2>[INT]:[effort] <col3>[VARCHAR]:[start_date] <col4>[DATE]:[end_date] } | SELECT m.name, c.effort FROM `<table0>` m JOIN conservation_efforts c ON m.id = c.species_id WHERE m.name = 'Seagrass'; | What conservation efforts have been made for seagrass species? |
<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>[prescr... | SELECT COUNT( DISTINCT `<table3>`.subject_id ) FROM `<table3>` INNER JOIN diagnoses ON `<table3>`.hadm_id = diagnoses.hadm_id WHERE `<table3>`.ethnicity = "WHITE" AND diagnoses.long_title = "Mechanical complication due to other implant and internal device, not elsewhere classified" | count the number of patients whose ethnicity is white and diagnoses long title is mechanical complication due to other implant and internal device, not elsewhere classified?
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<table0>[table_name_89] { <col0>[silver]:[INTEGER] <col1>[rank]:[VARCHAR] <col2>[bronze]:[VARCHAR] } | SELECT MAX( `<col0>` ) FROM `<table0>` WHERE `<col1>` > 5 AND `<col2>` > 2 | How many silver medals when the bronze is more than 2 and having a rank more than 5?
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