schema stringlengths 20 14.6k | query stringlengths 17 2.58k | question stringlengths 8 1.06k |
|---|---|---|
<table0>[table_name_11] { <col0>[game]:[VARCHAR] <col1>[home_team]:[VARCHAR] <col2>[date]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "st. louis" AND `<col2>` = "april 12" | What is the Game number on April 12 with St. Louis Home Team? |
<table0>[table_name_40] { <col0>[award]:[VARCHAR] <col1>[category]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "music video acting award" | Which Award has a Category of music video acting award? |
<table0>[underwater_sites] { <col0>[INT]:[PRIMARY] <col1>[KEY]:[name] <col2>[VARCHAR]:[255] <col3>[country]:[VARCHAR] <col4>[255]:[depth] } | SELECT AVG( depth ) FROM `<table0>` WHERE `<col3>` = 'Fiji'; | What is the average depth of underwater sites in Fiji? |
<table0>[PostHistoryTypes] { <col0>[number]:[text] } <table1>[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]:[R... | WITH firstrev_cte AS ( SELECT MIN( ph.Id ) AS MinId, p.Id FROM `<table17>` AS p JOIN `<table10>` AS ph ON ph.PostId = p.Id WHERE ph.Text LIKE '%<##tagName##>%' AND ph.`<table10>`TypeId IN ( 3, 6, 9 ) GROUP BY p.Id ), users_cte AS ( SELECT PostId AS pid, `<col4>` AS uid, `<col5>` AS udn FROM `<table10>` INNER JOIN first... | Number of tag-additions (per user). |
<table0>[Has_Allergy] { <col0>[StuID]:[INTEGER] <col1>[Allergy]:[VARCHAR] } <table1>[Student] { <col0>[StuID]:[INTEGER] <col1>[LName]:[VARCHAR] <col2>[Fname]:[VARCHAR] <col3>[Age]:[INTEGER] <col4>[Sex]:[VARCHAR] <col5>[Major]:[INTEGER] <col6>[Advisor]:[INTEGER] <col7>[city_code]:[VARCHAR] } <table2>[Allergy_Type] { <... | SELECT Sex, AVG( `<col3>` ) FROM `<table1>` GROUP BY `<col4>` | Show me mean age by sex in a histogram |
<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>[diagnoses] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icd9_code]:[text] <col3>[short_title]:[... | SELECT `<table4>`.days_stay, lab."CATEGORY" FROM `<table4>` INNER JOIN lab ON `<table4>`.hadm_id = lab.hadm_id WHERE `<table4>`.subject_id = "18372" | what is days of hospital stay and lab test category of subject id 18372? |
<table0>[table_name_95] { <col0>[country]:[VARCHAR] } | SELECT 2011 FROM `<table0>` WHERE `<col0>` = "united states" | What was the value in 2011 for United States? |
<table0>[jybgb] { <col0>[BBCJBW]:[text] <col1>[BBDM]:[text] <col2>[BBMC]:[text] <col3>[BBZT]:[number] <col4>[BGDH]:[text] <col5>[BGJGDM]:[text] <col6>[BGJGMC]:[text] <col7>[BGRGH]:[text] <col8>[BGRQ]:[time] <col9>[BGRXM]:[text] <col10>[BGSJ]:[time] <col11>[CJRQ]:[time] <col12>[JSBBRQSJ]:[time] <col13>[JSBBSJ]:[time] <c... | SELECT txmzjzjlb.JZLSH FROM `<table1>` JOIN txmzjzjlb ON `<table1>`.YLJGDM = txmzjzjlb.YLJGDM AND `<table1>`.KH = txmzjzjlb.KH AND `<table1>`.KLX = txmzjzjlb.KLX WHERE `<table1>`.RYBH = '96787952' AND `<table1>`.YLJGDM = '6798205' AND txmzjzjlb.JZKSMC LIKE '%手外科%' UNION SELECT ftxmzjzjlb.JZLSH FROM `<table1>` JOIN ftxm... | 在医院6798205的科室名中有手外科几个字的就诊科室的门诊中，有哪些是患者96787952的就诊记录流水号
|
<table0>[ReviewTaskResults] { <col0>[number]:[ReviewTaskId] <col1>[number]:[ReviewTaskResultTypeId] <col2>[number]:[CreationDate] <col3>[time]:[RejectionReasonId] <col4>[number]:[Comment] } <table1>[PostTypes] { <col0>[number]:[text] } <table2>[ReviewTaskTypes] { <col0>[number]:[text] <col1>[Description]:[text] } <t... | SELECT q.ViewCount AS "views", ROUND( q.ViewCount / q.AnswerCount, 2 ) AS "views_per_answer", q.AnswerCount AS "answer_count", q.Id AS "post_link", a.Score AS "answer_score", ( CASE WHEN q.AcceptedAnswerId = a.Id THEN 'Yes' ELSE NULL END ) AS "accepted", FLOOR( ( TIME_TO_STR( q.CreationDate, '%-HOUR' ) * 60 + TIME_TO_S... | Which of my answers have helped the Internet?. Shows you questions that you've answered that have significant view counts. |
<table0>[highways] { <col0>[INT]:[name] <col1>[VARCHAR]:[255] <col2>[location]:[VARCHAR] <col3>[255]:[length] <col4>[FLOAT]:[INSERT] } | SELECT SUM( length ) FROM `<table0>` WHERE `<col2>` = 'Canada'; | What is the total length of all the highways in Canada? |
<table0>[table_name_2] { <col0>[outcome]:[VARCHAR] <col1>[score]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "6–3, 6–4" | What is the Outcome of the match with a Score of 6 3, 6 4?
|
<table0>[table_name_24] { <col0>[driver]:[VARCHAR] <col1>[rounds]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "3" | Name the driver for 3 rounds
|
<table0>[table_name_12] { <col0>[college_junior_club_team]:[VARCHAR] <col1>[nhl_team]:[VARCHAR] <col2>[nationality]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "toronto maple leafs" AND `<col2>` = "united states" | What College/junior/club had a player of United States nationality drafted by the Toronto Maple Leafs? |
<table0>[table_26263954_1] { <col0>[english]:[VARCHAR] <col1>[kunrei_shiki]:[VARCHAR] } | SELECT COUNT( `<col0>` ) FROM `<table0>` WHERE `<col1>` = "otya" | how many number of english when kunrei-shiki is otya |
<table0>[PostFeedback] { <col0>[number]:[PostId] <col1>[number]:[IsAnonymous] <col2>[boolean]:[VoteTypeId] <col3>[number]:[CreationDate] } <table1>[CloseReasonTypes] { <col0>[number]:[text] <col1>[Description]:[text] } <table2>[ReviewTaskResults] { <col0>[number]:[ReviewTaskId] <col1>[number]:[ReviewTaskResultTypeId]... | SELECT COUNT( * ) FROM `<table15>` | How many users on StackOverflow. |
<table0>[suppliers] { <col0>[INT]:[name] <col1>[TEXT]:[Praseodymium_production_2022] <col2>[FLOAT]:[environmental_impact_score] } | SELECT name, Praseodymium_production_2022, environmental_impact_score FROM `<table0>` ORDER BY Praseodymium_production_2022 DESC, environmental_impact_score ASC LIMIT 5; | List the top 5 Praseodymium suppliers based on 2022 production and their respective environmental impact scores. |
<table0>[artist] { <col0>[artist_id]:[INT] <col1>[artist_name]:[VARCHAR] <col2>[country]:[VARCHAR] } <table1>[song] { <col0>[song_id]:[INT] <col1>[song_name]:[VARCHAR] <col2>[artist_id]:[INT] <col3>[length]:[INT] } | SELECT AVG( s.length ) FROM `<table0>` a JOIN song s ON a.`<table0>`_id = s.`<table0>`_id WHERE a.country = 'USA'; | What is the average length (in seconds) of songs released by artists from the USA? |
<table0>[city_budgets] { <col0>[city]:[VARCHAR] <col1>[255]:[sector] <col2>[VARCHAR]:[255] <col3>[budget]:[INT] <col4>[INSERT]:[city_budgets] } | SELECT SUM( `<col3>` ) FROM `<table0>` WHERE ( `<col0>` = 'City H' OR `<col0>` = 'City I' ) AND sector = 'healthcare' | What is the total budget allocated for healthcare in 'City H' and 'City I'? |
<table0>[creative_ai_budget] { <col0>[INT]:[PRIMARY] <col1>[KEY]:[project_name] <col2>[VARCHAR]:[budget] <col3>[FLOAT]:[INSERT] } | SELECT project_name, budget FROM `<table0>` WHERE budget > 50000; | List of creative AI projects with budget over 50000. |
<table0>[table_name_95] { <col0>[venue]:[VARCHAR] <col1>[discipline]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "3.3km c prologue" | What was the venue with a 3.3km c prologue discipline? |
<table0>[table_61694] { <col0>[Date]:[text] <col1>[Date]:[text] <col2>[Position]:[text] <col3>[text]:[text] } | SELECT "Position" FROM `<table0>` WHERE "From" = 'leicester city' | What is the position of the player from Leicester City? |
<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 `<table0>` WHERE `<table0>`.`<table1>`unitstayid IN ( SELECT `<table1>`.`<table1>`unitstayid FROM `<table1>` WHERE `<table1>`.`<table1>`healthsystemstayid IN ( SELECT `<table1>`.`<table1>`healthsystemstayid FROM `<table1>` WHERE `<table1>`.uniquepid = '002-16314' ) ) AND `<table0>`.`<table0>`... | did patient 002-16314 undergo an vitamin b12 test until 11/2100?
|
<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>`.insurance = "Self Pay" AND procedures.long_title = "Initial insertion of transvenous lead [electrode] into ventricle" | provide the number of patients whose insurance is self pay and procedure long title is initial insertion of transvenous lead [electrode] into ventricle?
|
<table0>[SuggestedEditVotes] { <col0>[number]:[SuggestedEditId] <col1>[number]:[UserId] <col2>[number]:[VoteTypeId] <col3>[number]:[CreationDate] <col4>[time]:[TargetUserId] <col5>[number]:[TargetRepChange] } <table1>[PostHistory] { <col0>[number]:[PostHistoryTypeId] <col1>[number]:[PostId] <col2>[number]:[RevisionGUI... | SELECT YEAR( CreationDate ) + ( MONTH( CreationDate ) / 12.0 ), COUNT( * ) * 1.0 / ( CASE WHEN YEAR( CreationDate ) = YEAR( @maxdate ) AND MONTH( CreationDate ) = MONTH( @maxdate ) THEN DAY( @maxdate ) ELSE DAY( DATEADD( DD, -1, DATEADD( MM, DATEDIFF( MM, -1, CreationDate ), 0 ) ) ) END ) FROM `<table28>` WHERE ParentI... | Questions and Answers per Day by Month.
|
<table0>[PostHistoryTypes] { <col0>[number]:[text] } <table1>[FlagTypes] { <col0>[number]:[text] <col1>[Description]:[text] } <table2>[Posts] { <col0>[number]:[PostTypeId] <col1>[number]:[AcceptedAnswerId] <col2>[number]:[ParentId] <col3>[number]:[CreationDate] <col4>[time]:[DeletionDate] <col5>[time]:[Score] <col6>[... | SELECT MONTH( p.CreationDate ), COUNT( p.Id ), ( SELECT COUNT( q.Id ) FROM `<table2>` AS q WHERE YEAR( q.CreationDate ) = '##Year##' AND MONTH( q.CreationDate ) = MONTH( p.CreationDate ) AND q.Score > 0 AND q.PostTypeId = 1 ), ( SELECT COUNT( r.Id ) FROM `<table2>` AS r WHERE YEAR( r.CreationDate ) = '##Year##' AND MON... | Positive score posts per month.
|
<table0>[table_name_64] { <col0>[la_crescenta__montrose]:[VARCHAR] <col1>[glendale]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "$57,112" | What is the figure for La Crescenta-Montrose when Gelndale is $57,112? |
<table0>[d_icd_diagnoses] { <col0>[row_id]:[number] <col1>[icd9_code]:[text] <col2>[short_title]:[text] <col3>[long_title]:[text] } <table1>[patients] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[gender]:[text] <col3>[dob]:[time] <col4>[dod]:[time] } <table2>[prescriptions] { <col0>[row_id]:[number] <... | SELECT `<table3>`.valuenum FROM `<table3>` WHERE `<table3>`.icustay_id IN ( SELECT `<table13>`.icustay_id FROM `<table13>` WHERE `<table13>`.hadm_id IN ( SELECT `<table11>`.hadm_id FROM `<table11>` WHERE `<table11>`.subject_id = 9038 AND NOT `<table11>`.dischtime IS NULL ORDER BY `<table11>`.admittime LIMIT 1 ) ) AND `... | what the last height of patient 9038 during their first hospital encounter.
|
<table0>[film] { } | SELECT COUNT( * ) FROM `<table0>` | How many film are there? |
<table0>[customer] { <col0>[cust_id]:[text] <col1>[cust_name]:[text] <col2>[acc_type]:[text] <col3>[acc_bal]:[number] <col4>[no_of_loans]:[number] <col5>[credit_score]:[number] <col6>[branch_id]:[number] <col7>[state]:[text] } <table1>[bank] { <col0>[branch_id]:[number] <col1>[bname]:[text] <col2>[no_of_customers]:[nu... | SELECT AVG( `<col2>` ) FROM `<table1>` WHERE `<col4>` = 'Utah' | What is the average number of customers across banks in the state of Utah?
|
<table0>[table_22255] { <col0>[Canton]:[text] <col1>[Years]:[Kindergarten] <col2>[real]:[Years] <col3>[Kindergarten]:[provided] <col4>[text]:[Years] <col5>[Kindergarten]:[legally] <col6>[required]:[text] <col7>[Length]:[Primary] <col8>[School]:[real] <col9>[Length]:[mandatory] <col10>[Secondary]:[School] <col11>[real]:... | SELECT "Integrated `<col10>` Schools?" FROM `<table0>` WHERE "Canton" = 'Basel-Stadt' | Are there integrated secondary schools in Basel-Stadt?
|
<table0>[hospitals] { <col0>[INT]:[PRIMARY] <col1>[KEY]:[name] <col2>[TEXT]:[state] <col3>[TEXT]:[total_beds] } | INSERT INTO hospitals ( name, state, total_beds ) VALUES ( 'Hospital AZ', 'AZ', 1000 ); | Add a new record to the "hospitals" table for a hospital located in "AZ" with 1000 total beds |
<table0>[table_name_69] { <col0>[grid]:[INTEGER] <col1>[laps]:[VARCHAR] <col2>[driver]:[VARCHAR] } | SELECT AVG( `<col0>` ) FROM `<table0>` WHERE `<col1>` < 14 AND `<col2>` = "reine wisell" | What is the average grid when the laps are smaller than 14 and Reine Wisell is the driver? |
<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 diagnoses ON `<table4>`.hadm_id = diagnoses.hadm_id WHERE `<table4>`.admission_location = "EMERGENCY ROOM ADMIT" AND diagnoses.icd9_code = "78039" | count the number of patients whose admission location is emergency room admit and diagnoses icd9 code is 78039?
|
<table0>[treatment] { <col0>[treatmentid]:[number] <col1>[patientunitstayid]:[number] <col2>[treatmentname]:[text] <col3>[treatmenttime]:[time] } <table1>[vitalperiodic] { <col0>[vitalperiodicid]:[number] <col1>[patientunitstayid]:[number] <col2>[temperature]:[number] <col3>[sao2]:[number] <col4>[heartrate]:[number] <... | SELECT t3.drugname FROM ( SELECT t2.drugname, DENSE_RANK( ) OVER ( ORDER BY COUNT( * ) DESC ) AS c1 FROM ( SELECT patient.uniquepid, `<table3>`.drugstarttime FROM `<table3>` JOIN patient ON `<table3>`.patientunitstayid = patient.patientunitstayid WHERE `<table3>`.drugname = '10 ml cup : magnesium hydroxide 2400 mg/10ml... | what are the three most commonly prescribed drugs for patients in 2105 that are also prescribed with 10 ml cup : magnesium hydroxide 2400 mg/10ml po susp at the same time?
|
<table0>[PrecisionAgriculture] { <col0>[HarvestYield]:[FieldID] <col1>[INT]:[Yield] <col2>[FLOAT]:[HarvestDate] } <table1>[PrecisionAgriculture] { <col0>[FieldDetails]:[FieldID] <col1>[INT]:[FieldSize] <col2>[FLOAT]:[Location] <col3>[VARCHAR]:[255] } | CREATE VIEW PrecisionAgriculture.AvgYieldByLocation AS SELECT fd.Location, AVG( hy.Yield ) FROM PrecisionAgriculture.FieldDetails fd INNER JOIN PrecisionAgriculture.HarvestYield hy ON fd.FieldID = hy.FieldID WHERE fd.FieldSize > 5000 GROUP BY fd.Location; | Create a view that selects the location and average yield of the fields with a size greater than 5000 square meters |
<table0>[table_name_32] { <col0>[tournament]:[VARCHAR] <col1>[winning_score]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = –7( 66 - 72 - 69 - 74 = 281 ) | Which tournament has a winning score at 7 (66-72-69-74=281)? |
<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 diagnoses ON `<table4>`.hadm_id = diagnoses.hadm_id INNER JOIN lab ON `<table4>`.hadm_id = lab.hadm_id WHERE diagnoses.short_title = "Long-term use of insulin" AND lab.label = "Urobilinogen" | what is the number of patients whose diagnoses short title is long-term use of insulin and lab test name is urobilinogen?
|
<table0>[drilling_operations] { <col0>[drill_id]:[INT] <col1>[well_id]:[INT] <col2>[start_date]:[DATE] <col3>[end_date]:[DATE] <col4>[status]:[VARCHAR] } | SELECT `<col1>` FROM `<table0>` WHERE `<col4>` = 'Completed' AND `<col2>` BETWEEN '2020-01-01' AND '2020-12-31' GROUP BY well_id; | Which wells had drilling operations completed in 2020? |
<table0>[transactions] { <col0>[INT]:[transaction_hash] <col1>[VARCHAR]:[255] <col2>[gas_limit]:[INT] <col3>[timestamp]:[TIMESTAMP] } | SELECT AVG( `<col2>` ) as avg_gas_limit FROM `<table0>` WHERE `<col3>` >= DATE_SUB( NOW( ), INTERVAL 30 DAY ); | What is the average gas limit for transactions in the last 30 days? |
<table0>[table_name_50] { <col0>[opponents]:[VARCHAR] <col1>[date]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "may 6, 2006" | Who competed on may 6, 2006?
|
<table0>[table_dev_37] { <col0>[int]:[gender] <col1>[string]:[hemoglobin_a1c_hba1c] <col2>[float]:[diabetes_mellitus] <col3>[bool]:[dysglycemia] <col4>[bool]:[creatinine_clearance_cl] <col5>[float]:[estimated_glomerular_filtration_rate_egfr] <col6>[int]:[fasting_plasma_glucose] <col7>[int]:[serum_creatinine] <col8>[flo... | SELECT * FROM `<table0>` WHERE estimated_glomerular_filtration_rate_egfr < 60 OR ( serum_creatinine >= 1.4 AND gender = 'male' ) OR ( serum_creatinine >= 1.3 AND gender = 'female' ) | egfr < 60 ml / min / 1.73 m2, or serum creatinine >= 1.4 mg / dl for male and >= 1.3 mg / dl for female
|
<table0>[table_name_18] { <col0>[license]:[VARCHAR] <col1>[actual_version]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "9.0" | Which License has an Actual Vaersion of 9.0? |
<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>[prescriptions] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icustay_id]:[text] <col3>[drug_type... | SELECT MIN( `<table3>`.age ) FROM `<table3>` WHERE `<table3>`.gender = "M" AND `<table3>`.dob_year > "2076" | how many male patients were born after the year 2076? |
<table0>[autonomous_taxis] { <col0>[taxi_id]:[INT] <col1>[ride_id]:[INT] <col2>[ride_city]:[VARCHAR] } | SELECT ride_city, COUNT( `<col1>` ) FROM `<table0>` GROUP BY ride_city; | List the number of autonomous taxi rides in Tokyo and Osaka, grouped by city. |
<table0>[demographic] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[name]:[text] <col3>[marital_status]:[text] <col4>[age]:[text] <col5>[dob]:[text] <col6>[gender]:[text] <col7>[language]:[text] <col8>[religion]:[text] <col9>[admission_type]:[text] <col10>[days_stay]:[text] <col11>[insurance]:[text] <col12>... | SELECT COUNT( DISTINCT `<table0>`.subject_id ) FROM `<table0>` INNER JOIN prescriptions ON `<table0>`.hadm_id = prescriptions.hadm_id WHERE `<table0>`.dod_year <= "2133.0" AND prescriptions.formulary_drug_cd = "ALBU17H" | count the number of patients who died in or before 2133 and their drug code is albu17h.
|
<table0>[ResilienceMetrics] { <col0>[INT]:[system_type] <col1>[TEXT]:[metric_number] <col2>[TEXT]:[description] <col3>[TEXT]:[INSERT] } | SELECT DISTINCT metric_number, description FROM `<table0>` WHERE system_type = 'Power Grid'; | What are the unique resilience metrics for 'Power Grid' systems? |
<table0>[NutritionData] { <col0>[product_id]:[INT] <col1>[product_type]:[VARCHAR] <col2>[is_vegan]:[BOOLEAN] <col3>[calorie_count]:[INT] } | SELECT product_type, MAX( `<col3>` ) FROM `<table0>` WHERE `<col2>` = TRUE GROUP BY product_type; | What is the maximum calorie count for vegan products in the NutritionData table, grouped by product type? |
<table0>[PostHistoryTypes] { <col0>[number]:[text] } <table1>[Votes] { <col0>[number]:[PostId] <col1>[number]:[VoteTypeId] <col2>[number]:[UserId] <col3>[number]:[CreationDate] <col4>[time]:[BountyAmount] } <table2>[ReviewTaskTypes] { <col0>[number]:[text] <col1>[Description]:[text] } <table3>[PostsWithDeleted] { <c... | SELECT ROW_NUMBER( ) OVER ( ORDER BY Reputation DESC ) AS "#", Id AS "user_link", Reputation FROM `<table23>` WHERE LOWER( Location ) LIKE '%moscow%' OR UPPER( Location ) LIKE '%MOSCOW%' OR Location LIKE '%Moscow%' AND Reputation >= 100 ORDER BY Reputation DESC | Top users from Moscow, Russia.
|
<table0>[Tags] { <col0>[number]:[TagName] <col1>[text]:[Count] <col2>[number]:[ExcerptPostId] <col3>[number]:[WikiPostId] } <table1>[PendingFlags] { <col0>[number]:[FlagTypeId] <col1>[number]:[PostId] <col2>[number]:[CreationDate] <col3>[time]:[CloseReasonTypeId] <col4>[number]:[CloseAsOffTopicReasonTypeId] <col5>[num... | SELECT a.Id AS "Post Link", a.Score AS "A.Score", a.Body AS "A.Body", c.Text AS "C.Text", c.Score AS "C.Score" FROM `<table18>` AS q JOIN `<table18>` AS a ON q.Id = a.ParentId JOIN Comments AS c ON a.Id = c.PostId WHERE a.PostTypeId = 2 AND a.OwnerUserId = '##AnswererID:int##' AND c.UserId = '##CommenterID:int##' ORDER... | Comments by one user on answers by another user. |
<table0>[Volunteers] { <col0>[INT]:[name] <col1>[TEXT]:[country] <col2>[TEXT]:[hours] <col3>[FLOAT]:[quarter] <col4>[TEXT]:[year] <col5>[INT]:[INSERT] } | SELECT country, AVG( hours ) FROM `<table0>` WHERE quarter = 'Q4' AND year = 2021 GROUP BY country; | What is the average volunteer hour contribution by volunteers in each country in Q4 of 2021? |
<table0>[financial_wellbeing_age_gender] { <col0>[person_id]:[INT] <col1>[age]:[INT] <col2>[gender]:[VARCHAR] <col3>[score]:[INT] } | SELECT FLOOR( `<col1>` / 10 ) * 10 AS age_group, gender, AVG( `<col3>` ) FROM `<table0>` GROUP BY age_group, gender; | What is the average financial wellbeing score for each age group and gender? |
<table0>[table_name_20] { <col0>[visitor]:[VARCHAR] <col1>[record]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "3–18" | Whose Visitor has a Record of 3 18? |
<table0>[current] { <col0>[ballotpedia_id]:[text] <col1>[bioguide_id]:[text] <col2>[birthday_bio]:[date] <col3>[cspan_id]:[real] <col4>[fec_id]:[text] <col5>[first_name]:[text] <col6>[gender_bio]:[text] <col7>[google_entity_id_id]:[text] <col8>[govtrack_id]:[integer] <col9>[house_history_id]:[real] <col10>[icpsr_id]:[r... | SELECT COUNT( * ) FROM `<table0>` AS T1 INNER JOIN ``<table0>`-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.gender_bio = 'F' AND ( T2.class IS NULL OR T2.class = '' ) | State number of legislators who are not the senator among female legislators. |
<table0>[meals] { <col0>[INT]:[name] <col1>[TEXT]:[vegetarian] <col2>[BOOLEAN]:[price] <col3>[INT]:[INSERT] } | SELECT AVG( `<table0>`.price ) FROM `<table0>` WHERE `<table0>`.vegetarian = true; | What is the average price of vegetarian meals across all restaurants? |
<table0>[program] { <col0>[program_id]:[int] <col1>[name]:[varchar] <col2>[college]:[varchar] <col3>[introduction]:[varchar] } <table1>[program_requirement] { <col0>[program_id]:[int] <col1>[category]:[varchar] <col2>[min_credit]:[int] <col3>[additional_req]:[varchar] } <table2>[student_record] { <col0>[student_id]:[... | SELECT DISTINCT course.department, course.name, course.number FROM course, program_course WHERE course.department LIKE '%MEMS%' AND program_course.category LIKE 'PreMajor' AND program_course.course_id = course.course_id | To declare a major in MEMS , are there certain classes that I need to take ? |
<table0>[Accounts] { <col0>[Account_ID]:[INTEGER] <col1>[Statement_ID]:[INTEGER] <col2>[Account_Details]:[VARCHAR] } <table1>[Projects] { <col0>[Project_ID]:[INTEGER] <col1>[Project_Details]:[VARCHAR] } <table2>[Ref_Budget_Codes] { <col0>[Budget_Type_Code]:[CHAR] <col1>[Budget_Type_Description]:[VARCHAR] } <table3>[... | SELECT Statement_ID, COUNT( * ) FROM `<table0>` GROUP BY `<col1>` | what are the different statement ids on accounts, and the number of accounts for each?
|
<table0>[document_types] { <col0>[document_type_code]:[text] <col1>[document_description]:[text] } <table1>[projects] { <col0>[project_id]:[number] <col1>[organisation_id]:[number] <col2>[project_details]:[text] } <table2>[research_outcomes] { <col0>[outcome_code]:[text] <col1>[outcome_description]:[text] } <table3>... | SELECT date_from, `<col4>` FROM `<table5>` WHERE `<col1>` IN ( SELECT `<col1>` FROM `<table5>` GROUP BY `<col1>` ORDER BY COUNT( * ) DESC LIMIT 1 ) UNION SELECT date_from, `<col4>` FROM `<table5>` WHERE `<col2>` = 'leader' | From what date and to what date do the staff work on a project that has the most staff and has staff in a leader role? |
<table0>[diagnoses] { <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 COUNT( DISTINCT `<table2>`.subject_id ) FROM `<table2>` INNER JOIN procedures ON `<table2>`.hadm_id = procedures.hadm_id WHERE `<table2>`.diagnosis = "NEWBORN" AND procedures.short_title = "Packed cell transfusion" | get the number of patients with newborn primary disease who had packed cell transfusion procedure.
|
<table0>[parttime_workers] { <col0>[INT]:[industry] <col1>[VARCHAR]:[salary] <col2>[FLOAT]:[union_member] <col3>[BOOLEAN]:[INSERT] } | SELECT MIN( salary ) FROM `<table0>` WHERE industry = 'manufacturing' AND union_member = false; | What is the minimum salary of part-time workers who are not union members in the 'manufacturing' industry? |
<table0>[table_name_73] { <col0>[date]:[VARCHAR] <col1>[venue]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "exhibition stadium" | On what Date was the Venue at Exhibition Stadium? |
<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 DISTINCT `<table7>`.`<table7>` FROM `<table7>` WHERE `<table7>`.event_type = '`<table12>`' AND `<table7>`.event_id IN ( SELECT `<table12>`.row_id FROM `<table12>` WHERE `<table12>`.itemid IN ( SELECT `<table13>`.itemid FROM `<table13>` WHERE `<table13>`.label = 'ethanol' ) ) | what's the price of ethanol.
|
<table0>[customers] { <col0>[INT]:[age] } <table1>[orders] { <col0>[INT]:[customer_id] <col1>[INT]:[dish_id] <col2>[INT]:[order_date] } | SELECT o.dish_id, COUNT( * ) FROM `<table1>` o JOIN customers c ON o.customer_id = c.id WHERE c.age BETWEEN 18 AND 35 GROUP BY o.dish_id; | Determine the number of times each dish was ordered by customers in the 18-35 age range. |
<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 COUNT( * ) > 0 FROM `<table8>` WHERE `<table8>`.`<table0>`unitstayid IN ( SELECT `<table0>`.`<table0>`unitstayid FROM `<table0>` WHERE `<table0>`.`<table0>`healthsystemstayid IN ( SELECT `<table0>`.`<table0>`healthsystemstayid FROM `<table0>` WHERE `<table0>`.uniquepid = '013-29301' ) ) AND DATETIME( `<table8>`.... | in 08/this year has patient 013-29301 had any allergies? |
<table0>[manufacturing_machines] { <col0>[INT]:[region] <col1>[VARCHAR]:[255] <col2>[number_of_machines]:[INT] } | SELECT region, MAX( `<col2>` ) FROM `<table0>` GROUP BY region; | What is the maximum number of machines in the manufacturing industry for each region? |
<table0>[table_name_84] { <col0>[sideline_reporters]:[VARCHAR] <col1>[color_commentator]:[VARCHAR] <col2>[pregame_analysts]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "john harkes" AND `<col2>` = "alexi lalas and steve mcmanaman" | When John Harkes was the color commentator, and Alexi Lalas and Steve McManaman were the pregame analysts, who were the sideline reporters? |
<table0>[weekly_weather] { <col0>[station_id]:[int] <col1>[day_of_week]:[text] <col2>[high_temperature]:[int] <col3>[low_temperature]:[int] <col4>[precipitation]:[real] <col5>[wind_speed_mph]:[int] } <table1>[route] { <col0>[train_id]:[int] <col1>[station_id]:[int] } <table2>[station] { <col0>[int]:[network_name] <co... | SELECT name, COUNT( name ) FROM `<table3>` GROUP BY name ORDER BY name DESC | Plot how many name by grouped by name as a bar graph, I want to order by the X in descending please.
|
<table0>[university] { <col0>[School_ID]:[int] <col1>[School]:[text] <col2>[Location]:[text] <col3>[Founded]:[real] <col4>[Affiliation]:[text] <col5>[Enrollment]:[real] <col6>[Nickname]:[text] <col7>[Primary_conference]:[text] } <table1>[basketball_match] { <col0>[Team_ID]:[int] <col1>[School_ID]:[int] <col2>[Team_Nam... | SELECT ACC_Road, `<col0>` FROM `<table1>` GROUP BY ACC_Home, `<col6>` ORDER BY `<col6>` DESC | Find ACC_Road and Team_ID , and group by attribute ACC_Home, and visualize them by a bar chart, and could you show X in descending order? |
<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 INNER JOIN lab ON `<table0>`.hadm_id = lab.hadm_id WHERE diagnoses.icd9_code = "42613" AND lab."CATEGORY" = "Hematology" | give me the number of patients whose diagnoses icd9 code is 42613 and lab test category is hematology?
|
<table0>[time_zone] { <col0>[time_zone_code]:[text] <col1>[time_zone_name]:[text] <col2>[hours_from_gmt]:[int] } <table1>[aircraft] { <col0>[aircraft_code]:[varchar] <col1>[aircraft_description]:[varchar] <col2>[manufacturer]:[varchar] <col3>[basic_type]:[varchar] <col4>[engines]:[int] <col5>[propulsion]:[varchar] <co... | SELECT DISTINCT flight.flight_id FROM `<table14>` AS AIRPORT_SERVICE_0, `<table14>` 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 = 'OAKLAND' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DENVER' AND fl... | show me all flights arriving to DENVER from OAKLAND |
<table0>[table_name_83] { <col0>[high_assists]:[VARCHAR] <col1>[team]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "@ milwaukee" | What is High Assists, when Team is "@ Milwaukee"? |
<table0>[patients] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[gender]:[text] <col3>[dob]:[time] <col4>[dod]:[time] } <table1>[chartevents] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[itemid]:[number] <col5>[charttime]:[time] <col6>... | SELECT DISTINCT `<table2>`.`<table2>` FROM `<table2>` WHERE `<table2>`.event_type = '`<table5>`' AND `<table2>`.event_id IN ( SELECT `<table5>`.row_id FROM `<table5>` WHERE `<table5>`.icd9_code = ( SELECT `<table3>`.icd9_code FROM `<table3>` WHERE `<table3>`.short_title = 'nonsp abn find-gu organs' ) ) | how much does it cost to check for nonsp abn find-gu organs?
|
<table0>[table_30285] { <col0>[English]:[word] <col1>[text]:[Slovak] <col2>[text]:[Czech] <col3>[text]:[Rusyn] <col4>[text]:[Ukrainian] <col5>[text]:[Belarusian] <col6>[text]:[Polish] <col7>[text]:[Serbo] <col8>[Croatian]:[text] <col9>[Bulgarian]:[text] } | SELECT "English word" FROM `<table0>` WHERE "Ukrainian" = 'Дякую ( diakuju )' | How do you say the ukrainian word (diakuju) in English?
|
<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_icd_diagnoses] { <col0>[row_id]:[number] <col1>[icd9_code]:[text] <col2>[short... | SELECT `<table1>`.short_title FROM `<table1>` WHERE `<table1>`.icd9_code IN ( SELECT t3.icd9_code FROM ( SELECT t2.icd9_code, DENSE_RANK( ) OVER ( ORDER BY COUNT( * ) DESC ) AS c1 FROM ( SELECT admissions.subject_id, `<table8>`.charttime FROM `<table8>` JOIN admissions ON `<table8>`.hadm_id = admissions.hadm_id WHERE `... | what were the three most frequently diagnosed diagnoses for patients who had been diagnosed with preterm nec 2000-2499g before within the same month, since 5 years ago?
|
<table0>[table_204_850] { <col0>[number]:[name] <col1>[text]:[railway] <col2>[text]:[series] <col3>[text]:[maker] <col4>[text]:[dates] <col5>[text]:[drive] <col6>[text]:[wheel] <col7>[arrangement]:[text] <col8>[weight]:[text] <col9>[power]:[text] <col10>[notes]:[text] } | SELECT "name" FROM `<table0>` ORDER BY "weight" LIMIT 1 | which locomotive weighs the least ? |
<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 `<table3>`.subject_id ) FROM `<table3>` WHERE `<table3>`.discharge_location = "LONG TERM CARE HOSPITAL" AND `<table3>`.dob_year < "2058" | provide the number of patients whose discharge location is long term care hospital and year of birth is less than 2058?
|
<table0>[table_63863] { <col0>[Year]:[real] <col1>[Population]:[real] <col2>[Year]:[change] <col3>[text]:[Year] <col4>[change]:[text] <col5>[Rank]:[Provinces] } | SELECT AVG( "Year" ) FROM `<table0>` WHERE "Ten `<col0>` % change" = '67.3' AND "Rank Among Provinces" > '5' | What is the average year having a rank among provinces over 5 and ten-year percentage change of 67.3? |
<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 `<table5>`.`<table5>`time FROM `<table5>` WHERE `<table5>`.`<table7>`unitstayid IN ( SELECT `<table7>`.`<table7>`unitstayid FROM `<table7>` WHERE `<table7>`.`<table7>`healthsystemstayid IN ( SELECT `<table7>`.`<table7>`healthsystemstayid FROM `<table7>` WHERE `<table7>`.uniquepid = '002-59265' ) AND NOT `<table7... | what was the last time of patient 002-59265's epoprostenol intake on the last icu visit? |
<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>`.age < "71" AND diagnoses.icd9_code = "2875" | give me the number of patients whose age is less than 71 and diagnoses icd9 code is 2875?
|
<table0>[authorship] { <col0>[authid]:[number] <col1>[instid]:[number] <col2>[paperid]:[number] <col3>[authorder]:[number] } <table1>[papers] { <col0>[paperid]:[number] <col1>[title]:[text] } <table2>[inst] { <col0>[instid]:[number] <col1>[name]:[text] <col2>[country]:[text] } <table3>[authors] { <col0>[authid]:[num... | SELECT t1.name FROM `<table2>` AS t1 JOIN authorship AS t2 ON t1.`<table2>`id = t2.`<table2>`id JOIN papers AS t3 ON t2.paperid = t3.paperid GROUP BY t1.name ORDER BY COUNT( * ) DESC LIMIT 1 | Which institution has the most papers? Find the name of the institution. |
<table0>[table_44355] { <col0>[Game]:[real] <col1>[Team]:[text] <col2>[Score]:[text] <col3>[Location]:[Attendance] <col4>[text]:[Series] } | SELECT MAX( "Game" ) FROM `<table0>` WHERE "Team" = '@boston' AND "Series" = '0-1' | what is the highest game when the team is @boston and the series is 0-1?
|
<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>[diagnoses] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icd9_code]:[text] <col3>[short_title]:[... | SELECT COUNT( DISTINCT `<table2>`.subject_id ) FROM `<table2>` INNER JOIN lab ON `<table2>`.hadm_id = lab.hadm_id WHERE lab.itemid = "51458" | give me the number of patients whose item id is 51458?
|
<table0>[airport] { <col0>[airport_code]:[varchar] <col1>[airport_name]:[text] <col2>[airport_location]:[text] <col3>[state_code]:[varchar] <col4>[country_name]:[varchar] <col5>[time_zone_code]:[varchar] <col6>[minimum_connect_time]:[int] } <table1>[code_description] { <col0>[code]:[varchar] <col1>[description]:[text]... | SELECT DISTINCT flight.flight_id FROM `<table14>` AS AIRPORT_SERVICE_0, `<table14>` AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, days AS DAYS_0, days AS DAYS_1, flight WHERE ( ( DAYS_0.day_name = 'WEDNESDAY' AND DAYS_1.day_name = 'THURSDAY' AND flight.flight_days = DAYS_0.days_code AND flight.flight_days = DAY... | show me the flights from BOSTON to PITTSBURGH leaving WEDNESDAY and THURSDAY
|
<table0>[north_america_hotels] { <col0>[country]:[VARCHAR] <col1>[type]:[VARCHAR] } | SELECT country, COUNT( * ) as count FROM `<table0>` WHERE `<col1>` = 'Luxury' GROUP BY `<col0>` ORDER BY count DESC; | Which countries in North America have the most luxury hotels? |
<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 = 'TAMPA' AND date_day.day_number = 25 AND date_day.month_number = 6 AND date_day.y... | list all nonstop flights from NEWARK to TAMPA leaving on friday
|
<table0>[hardware_data] { <col0>[model_id]:[INT] <col1>[model_name]:[VARCHAR] <col2>[platform]:[VARCHAR] <col3>[application]:[VARCHAR] } | SELECT platform, COUNT( `<col0>` ) as num_models FROM `<table0>` GROUP BY platform; | What is the distribution of models trained on different hardware platforms for AI applications? |
<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 T2.Founder, T1.Code FROM `<table0>` AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Founder ORDER BY T2.Founder | For those records from the products and each product's manufacturer, visualize a bar chart about the distribution of founder and the sum of code , and group by attribute founder, show by the X from low to high. |
<table0>[university] { <col0>[School_ID]:[int] <col1>[School]:[text] <col2>[Location]:[text] <col3>[Founded]:[real] <col4>[Affiliation]:[text] <col5>[Enrollment]:[real] <col6>[Nickname]:[text] <col7>[Primary_conference]:[text] } <table1>[basketball_match] { <col0>[Team_ID]:[int] <col1>[School_ID]:[int] <col2>[Team_Nam... | SELECT All_Road, `<col1>` FROM `<table1>` | I want to know the proportion of school id for each all road.
|
<table0>[exists] { <col0>[wells]:[well_id] <col1>[int]:[region] <col2>[varchar]:[production_year] <col3>[int]:[gas_production] <col4>[int]:[INSERT] <col5>[wells]:[well_id] <col6>[region]:[production_year] <col7>[gas_production]:[VALUES] <col8>[Marcellus]:[Shale] <col9>[2018]:[900000] <col10>[Marcellus]:[Shale] <col11>[... | SELECT gas_production FROM wells WHERE well_id = 6 AND region = 'Marcellus Shale'; | Find the gas production of the well with ID 6 in the Marcellus Shale region |
<table0>[table_name_12] { <col0>[date]:[VARCHAR] <col1>[score]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "1–6 6–1 3–6" | On what day was the score of 1 6 6 1 3 6 achieved?
|
<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 Team_ID, `<col8>` FROM `<table0>` GROUP BY `<col2>` | Visualize the relationship between Team_ID and All_Games_Percent , and group by attribute Team_Name.
|
<table0>[table_55479] { <col0>[Tournament]:[text] <col1>[2007]:[text] <col2>[2008]:[text] <col3>[2009]:[text] <col4>[2010]:[text] <col5>[2011]:[text] <col6>[2012]:[text] } | SELECT "2009" FROM `<table0>` WHERE "2008" = '2r' AND "2011" = '2r' | What is the categorization in 2009 when it was 2R in 2008 and 2011?
|
<table0>[exhibition_record] { <col0>[Exhibition_ID]:[int] <col1>[Date]:[text] <col2>[Attendance]:[int] } <table1>[exhibition] { <col0>[Exhibition_ID]:[int] <col1>[Year]:[int] <col2>[Theme]:[text] <col3>[Artist_ID]:[int] <col4>[Ticket_Price]:[real] } <table2>[artist] { <col0>[Artist_ID]:[int] <col1>[text]:[Country] <c... | SELECT Country, AVG( Age ) FROM `<table2>` GROUP BY Country ORDER BY AVG( Age ) | What are the average ages of artists by countries? Visualize the result with a histogram, and I want to display in asc by the total number.
|
<table0>[table_21578303_2] { <col0>[stage]:[VARCHAR] <col1>[time__eet]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE time__eet_ = "15:17" | Which stage has 15:17 as time? |
<table0>[unions] { <col0>[INT]:[name] <col1>[VARCHAR]:[255] <col2>[state]:[VARCHAR] } <table1>[union_industry] { <col0>[INT]:[union_id] <col1>[INT]:[industry] <col2>[VARCHAR]:[255] <col3>[workers]:[INT] <col4>[INSERT]:[unions] <col5>[name]:[state] <col6>[VALUES]:[AFT] <col7>[Texas]:[INSERT] } | SELECT ui.industry, MAX( ui.workers ) as max_workers FROM `<table1>` ui JOIN unions u ON ui.union_id = u.id WHERE u.state = 'Texas' GROUP BY ui.industry; | What is the maximum number of workers in each union by industry in Texas? |
<table0>[countries] { <col0>[COUNTRY_ID]:[varchar] <col1>[COUNTRY_NAME]:[varchar] <col2>[REGION_ID]:[decimal] } <table1>[locations] { <col0>[LOCATION_ID]:[decimal] <col1>[STREET_ADDRESS]:[varchar] <col2>[POSTAL_CODE]:[varchar] <col3>[CITY]:[varchar] <col4>[STATE_PROVINCE]:[varchar] <col5>[COUNTRY_ID]:[varchar] } <tab... | SELECT HIRE_DATE, SUM( `<col10>` ) FROM `<table5>` WHERE `<col5>` < '2002-06-21' ORDER BY SUM( `<col10>` ) DESC | For those employees who was hired before 2002-06-21, give me the comparison about the sum of department_id over the hire_date bin hire_date by time, could you show in descending by the total number please?
|
<table0>[dual_carrier] { <col0>[main_airline]:[varchar] <col1>[low_flight_number]:[int] <col2>[high_flight_number]:[int] <col3>[dual_airline]:[varchar] <col4>[service_name]:[text] } <table1>[flight_fare] { <col0>[flight_id]:[int] <col1>[fare_id]:[int] } <table2>[flight] { <col0>[aircraft_code_sequence]:[text] <col1>[... | SELECT DISTINCT flight.flight_id FROM `<table3>` AS AIRPORT_SERVICE_0, `<table3>` 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 = 'LOS ANGELES' AND date_day.day_number = 20 AND date_day.month_number = 1 AND date... | i need a flight from NEWARK to LOS ANGELES leaving tomorrow evening |
<table0>[services] { <col0>[service_id]:[number] <col1>[service_type_code]:[text] } <table1>[participants] { <col0>[participant_id]:[number] <col1>[participant_type_code]:[text] <col2>[participant_details]:[text] } <table2>[participants_in_events] { <col0>[event_id]:[number] <col1>[participant_id]:[number] } <table3... | SELECT service_id, `<col2>` FROM `<table3>` | List the service id and details for the events.
|
<table0>[table_50819] { <col0>[Number]:[real] <col1>[Player]:[text] <col2>[Position]:[text] <col3>[Height]:[text] <col4>[Weight]:[real] <col5>[Years]:[Exp] <col6>[text]:[College] } | SELECT "Position" FROM `<table0>` WHERE "Weight" > '200' AND "Number" < '44' AND "Years Exp" = '9' AND "College" = 'university of new mexico' | What is Position, when Weight is greater than 200, when Number is less than 44, when Years Exp is 9, and when College is 'University of New Mexico'?
|
<table0>[cargo_data] { <col0>[INT]:[vessel_name] <col1>[TEXT]:[cargo_weight] <col2>[INT]:[region] <col3>[TEXT]:[loading_date] } | SELECT AVG( cargo_weight ) FROM `<table0>` WHERE region = 'Arctic' AND loading_date >= DATE_SUB( CURRENT_DATE, INTERVAL 1 MONTH ); | What is the average cargo weight for vessels in the Arctic region? |
<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 lab ON `<table0>`.hadm_id = lab.hadm_id WHERE `<table0>`.admission_type = "ELECTIVE" AND lab.label = "Asparate Aminotransferase ( AST )" | provide the number of patients whose admission type is elective and lab test name is asparate aminotransferase (ast)?
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.