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CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
| how many patients diagnosed with transient neonatal thrombocytopenia had delta abnormal lab test status? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.long_title = "Transient neonatal thrombocytopenia" AND lab.flag = "delta" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Transient neonatal thrombocytopenia" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "delta" = "lab"."flag" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.28125 |
CREATE TABLE table_name_1 (series VARCHAR, release_date VARCHAR)
| What is the Series of the Filmography with Release date of 1946-01-05? | SELECT series FROM table_name_1 WHERE release_date = "1946-01-05" | SELECT "series" FROM "table_name_1" WHERE "1946-01-05" = "release_date" | 0.069336 |
CREATE TABLE table_test_2 ("id" INT, "loss_of_consciousness" BOOLEAN, "gender" TEXT, "bleeding" INT, "systolic_blood_pressure_sbp" INT, "stroke" BOOLEAN, "renal_disease" BOOLEAN, "hemorrhagic_diathesis" BOOLEAN, "transient_ischemic_attack" BOOLEAN, "creatinine_clearance_cl" FLOAT, "dementia" BOOLEAN, "glasgow_come_score_gcs" INT, "prior_creatinine" FLOAT, "immunological_dysfunction" BOOLEAN, "diastolic_blood_pressure_dbp" INT, "health_coverage" BOOLEAN, "structural_cns_damage" BOOLEAN, "neoplasm" BOOLEAN, "av_malformation" BOOLEAN, "disorder" BOOLEAN, "aneurysm" BOOLEAN, "final_timi" INT, "hypertension" BOOLEAN, "NOUSE" FLOAT)
| known renal insufficiency ( either known creatinin clearance < 30 ml / min / 1.73 m2 or current medical care for severe renal insufficiency ) | SELECT * FROM table_test_2 WHERE renal_disease = 1 OR (creatinine_clearance_cl < 30 OR renal_disease = 1) | SELECT * FROM "table_test_2" WHERE "creatinine_clearance_cl" < 30 OR "renal_disease" = 1 | 0.085938 |
CREATE TABLE competition_record (Competition_ID INT, Farm_ID INT, Rank INT)
CREATE TABLE farm (Farm_ID INT, Year INT, Total_Horses FLOAT, Working_Horses FLOAT, Total_Cattle FLOAT, Oxen FLOAT, Bulls FLOAT, Cows FLOAT, Pigs FLOAT, Sheep_and_Goats FLOAT)
CREATE TABLE city (City_ID INT, Official_Name TEXT, Status TEXT, Area_km_2 FLOAT, Population FLOAT, Census_Ranking TEXT)
CREATE TABLE farm_competition (Competition_ID INT, Year INT, Theme TEXT, Host_city_ID INT, Hosts TEXT)
| Show the average of population from each status | SELECT Status, AVG(Population) FROM city GROUP BY Status | SELECT "Status", AVG("Population") FROM "city" GROUP BY "Status" | 0.0625 |
CREATE TABLE table_73338 ("Chapter" TEXT, "Installation Date" TEXT, "Institution" TEXT, "Location" TEXT, "Inactive" TEXT)
| What is the chapter for Illinois Wesleyan? | SELECT "Chapter" FROM table_73338 WHERE "Institution" = 'Illinois Wesleyan' | SELECT "Chapter" FROM "table_73338" WHERE "Institution" = 'Illinois Wesleyan' | 0.075195 |
CREATE TABLE table_2653 ("Outcome" TEXT, "Year" FLOAT, "Championship" TEXT, "Surface" TEXT, "Partner" TEXT, "Opponents in the final" TEXT, "Score in the final" TEXT)
| If the opponents in the final is Hewitt McMillan and the partner is Fleming, what is the surface? | SELECT "Surface" FROM table_2653 WHERE "Partner" = 'Fleming' AND "Opponents in the final" = 'Hewitt McMillan' | SELECT "Surface" FROM "table_2653" WHERE "Opponents in the final" = 'Hewitt McMillan' AND "Partner" = 'Fleming' | 0.108398 |
CREATE TABLE table_name_78 (year_named INT, latitude VARCHAR, diameter__km_ VARCHAR)
| What year was the geological feature with a latitude of 76.0n and a diameter larger than 548 km was named? | SELECT MAX(year_named) FROM table_name_78 WHERE latitude = "76.0n" AND diameter__km_ > 548 | SELECT MAX("year_named") FROM "table_name_78" WHERE "76.0n" = "latitude" AND "diameter__km_" > 548 | 0.095703 |
CREATE TABLE table_43407 ("Date" TEXT, "Home captain" TEXT, "Away captain" TEXT, "Venue" TEXT, "Result" TEXT)
| Who was the Home captain when the Result was Aus by 218 runs? | SELECT "Home captain" FROM table_43407 WHERE "Result" = 'aus by 218 runs' | SELECT "Home captain" FROM "table_43407" WHERE "Result" = 'aus by 218 runs' | 0.073242 |
CREATE TABLE table_1342233_6 (result VARCHAR, candidates VARCHAR)
| how many result with candidates being richard j. welch (r) unopposed | SELECT COUNT(result) FROM table_1342233_6 WHERE candidates = "Richard J. Welch (R) Unopposed" | SELECT COUNT("result") FROM "table_1342233_6" WHERE "Richard J. Welch (R) Unopposed" = "candidates" | 0.09668 |
CREATE TABLE table_44925 ("Technology" TEXT, "Moving Parts" TEXT, "Room Temperature" TEXT, "Flammable" TEXT, "Toxic Materials" TEXT, "In production" TEXT, "Rare metals" TEXT)
| What's the technology when there are no moving parts but yes to toxic materials? | SELECT "Technology" FROM table_44925 WHERE "Toxic Materials" = 'yes' AND "Moving Parts" = 'no' | SELECT "Technology" FROM "table_44925" WHERE "Moving Parts" = 'no' AND "Toxic Materials" = 'yes' | 0.09375 |
CREATE TABLE table_48453 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "Location Attendance" TEXT, "Record" TEXT)
| What is the average game number when the record is 4-1? | SELECT AVG("Game") FROM table_48453 WHERE "Record" = '4-1' | SELECT AVG("Game") FROM "table_48453" WHERE "Record" = '4-1' | 0.058594 |
CREATE TABLE table_68616 ("Year" TEXT, "English title" TEXT, "Original title" TEXT, "Country" TEXT, "Director" TEXT)
| What is the English title for Ansikte Mot Ansikte? | SELECT "English title" FROM table_68616 WHERE "Original title" = 'ansikte mot ansikte' | SELECT "English title" FROM "table_68616" WHERE "Original title" = 'ansikte mot ansikte' | 0.085938 |
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
| what are the three most frequent drugs prescribed to valve replacement < 7days female patients of the 50s within the same month after they have been diagnosed since 4 years ago with valve replacement < 7days? | SELECT t3.drugname FROM (SELECT t2.drugname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'valve replacement < 7days' AND DATETIME(diagnosis.diagnosistime) >= DATETIME(CURRENT_TIME(), '-4 year')) AS t1 JOIN (SELECT patient.uniquepid, medication.drugname, medication.drugstarttime FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE patient.gender = 'female' AND patient.age BETWEEN 50 AND 59 AND DATETIME(medication.drugstarttime) >= DATETIME(CURRENT_TIME(), '-4 year')) AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.diagnosistime < t2.drugstarttime AND DATETIME(t1.diagnosistime, 'start of month') = DATETIME(t2.drugstarttime, 'start of month') GROUP BY t2.drugname) AS t3 WHERE t3.c1 <= 3 | WITH "t2" AS (SELECT "patient"."uniquepid", "medication"."drugname", "medication"."drugstarttime" FROM "medication" JOIN "patient" ON "medication"."patientunitstayid" = "patient"."patientunitstayid" AND "patient"."age" <= 59 AND "patient"."age" >= 50 AND "patient"."gender" = 'female' WHERE DATETIME("medication"."drugstarttime") >= DATETIME(CURRENT_TIME(), '-4 year')), "t3" AS (SELECT "t2"."drugname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" JOIN "t2" AS "t2" ON "diagnosis"."diagnosistime" < "t2"."drugstarttime" AND "patient"."uniquepid" = "t2"."uniquepid" AND DATETIME("diagnosis"."diagnosistime", 'start of month') = DATETIME("t2"."drugstarttime", 'start of month') WHERE "diagnosis"."diagnosisname" = 'valve replacement < 7days' AND DATETIME("diagnosis"."diagnosistime") >= DATETIME(CURRENT_TIME(), '-4 year') GROUP BY "t2"."drugname") SELECT "t3"."drugname" FROM "t3" AS "t3" WHERE "t3"."c1" <= 3 | 1.000977 |
CREATE TABLE table_name_10 (silver VARCHAR, bronze INT)
| What is the number of silver when bronze is less than 0? | SELECT COUNT(silver) FROM table_name_10 WHERE bronze < 0 | SELECT COUNT("silver") FROM "table_name_10" WHERE "bronze" < 0 | 0.060547 |
CREATE TABLE table_25688 ("Episode Number" TEXT, "Title" TEXT, "Villains" TEXT, "Director" TEXT, "Writer" TEXT, "Original airdate" TEXT)
| Who are the villains in 'the others'? | SELECT "Villains" FROM table_25688 WHERE "Title" = 'The Others' | SELECT "Villains" FROM "table_25688" WHERE "Title" = 'The Others' | 0.063477 |
CREATE TABLE table_name_41 (opponent VARCHAR, round VARCHAR)
| What opponent has 32 as the round? | SELECT opponent FROM table_name_41 WHERE round = "32" | SELECT "opponent" FROM "table_name_41" WHERE "32" = "round" | 0.057617 |
CREATE TABLE table_24192031_2 (age VARCHAR, height VARCHAR)
| How old is the person with the height of m (ft 3 4 in)? | SELECT age FROM table_24192031_2 WHERE height = "m (ft 3⁄4 in)" | SELECT "age" FROM "table_24192031_2" WHERE "height" = "m (ft 3⁄4 in)" | 0.067383 |
CREATE TABLE constructorstandings (constructorstandingsid DECIMAL, raceid DECIMAL, constructorid DECIMAL, points DECIMAL, position DECIMAL, positiontext TEXT, wins DECIMAL)
CREATE TABLE pitstops (raceid DECIMAL, driverid DECIMAL, stop DECIMAL, lap DECIMAL, time TEXT, duration TEXT, milliseconds DECIMAL)
CREATE TABLE constructorresults (constructorresultsid DECIMAL, raceid DECIMAL, constructorid DECIMAL, points DECIMAL, status DECIMAL)
CREATE TABLE drivers (driverid DECIMAL, driverref TEXT, number DECIMAL, code TEXT, forename TEXT, surname TEXT, dob TEXT, nationality TEXT, url TEXT)
CREATE TABLE constructors (constructorid DECIMAL, constructorref TEXT, name TEXT, nationality TEXT, url TEXT)
CREATE TABLE qualifying (qualifyid DECIMAL, raceid DECIMAL, driverid DECIMAL, constructorid DECIMAL, number DECIMAL, position DECIMAL, q1 TEXT, q2 TEXT, q3 TEXT)
CREATE TABLE status (statusid DECIMAL, status TEXT)
CREATE TABLE results (resultid DECIMAL, raceid DECIMAL, driverid DECIMAL, constructorid DECIMAL, number DECIMAL, grid DECIMAL, position DECIMAL, positiontext TEXT, positionorder DECIMAL, points DECIMAL, laps DECIMAL, time TEXT, milliseconds DECIMAL, fastestlap DECIMAL, rank DECIMAL, fastestlaptime TEXT, fastestlapspeed TEXT, statusid DECIMAL)
CREATE TABLE seasons (year DECIMAL, url TEXT)
CREATE TABLE circuits (circuitid DECIMAL, circuitref TEXT, name TEXT, location TEXT, country TEXT, lat DECIMAL, lng DECIMAL, alt DECIMAL, url TEXT)
CREATE TABLE driverstandings (driverstandingsid DECIMAL, raceid DECIMAL, driverid DECIMAL, points DECIMAL, position DECIMAL, positiontext TEXT, wins DECIMAL)
CREATE TABLE races (raceid DECIMAL, year DECIMAL, round DECIMAL, circuitid DECIMAL, name TEXT, date TEXT, time TEXT, url TEXT)
CREATE TABLE laptimes (raceid DECIMAL, driverid DECIMAL, lap DECIMAL, position DECIMAL, time TEXT, milliseconds DECIMAL)
| Find the driver id and number of races of all drivers who have at most participated in 30 races? | SELECT T1.driverid, COUNT(*) FROM drivers AS T1 JOIN results AS T2 ON T1.driverid = T2.driverid JOIN races AS T3 ON T2.raceid = T3.raceid GROUP BY T1.driverid HAVING COUNT(*) <= 30 | SELECT "T1"."driverid", COUNT(*) FROM "drivers" AS "T1" JOIN "results" AS "T2" ON "T1"."driverid" = "T2"."driverid" JOIN "races" AS "T3" ON "T2"."raceid" = "T3"."raceid" GROUP BY "T1"."driverid" HAVING COUNT(*) <= 30 | 0.210938 |
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
| Suggested edits which are possibly affected by rollback bug. | SELECT e.PostId AS "post_link" FROM SuggestedEdits AS e INNER JOIN PostHistory AS th ON e.PostId = th.PostId AND e.ApprovalDate = th.CreationDate LEFT OUTER JOIN PostHistory AS h ON e.PostId = h.PostId AND e.ApprovalDate = h.CreationDate AND e.OwnerUserId = h.UserId AND h.PostHistoryTypeId IN (4, 5) WHERE th.PostHistoryTypeId = 6 AND h.Id IS NULL AND e.ApprovalDate >= '2016-12-01' AND e.PostId = 40356855 | SELECT "e"."PostId" AS "post_link" FROM "SuggestedEdits" AS "e" LEFT JOIN "PostHistory" AS "h" ON "e"."ApprovalDate" = "h"."CreationDate" AND "e"."OwnerUserId" = "h"."UserId" AND "e"."PostId" = "h"."PostId" AND "h"."PostHistoryTypeId" IN (4, 5) JOIN "PostHistory" AS "th" ON "e"."ApprovalDate" = "th"."CreationDate" AND "e"."PostId" = "th"."PostId" AND "th"."PostHistoryTypeId" = 6 WHERE "e"."ApprovalDate" >= '2016-12-01' AND "e"."PostId" = 40356855 AND "h"."Id" IS NULL | 0.459961 |
CREATE TABLE table_38649 ("Tournament" TEXT, "2006" TEXT, "2007" TEXT, "2008" TEXT, "2009" TEXT, "2010" TEXT, "2011" TEXT, "2012" TEXT)
| Which 2010 has a Tournament of australian open? | SELECT "2010" FROM table_38649 WHERE "Tournament" = 'australian open' | SELECT "2010" FROM "table_38649" WHERE "Tournament" = 'australian open' | 0.069336 |
CREATE TABLE table_7268 ("Place" TEXT, "Player" TEXT, "Country" TEXT, "Score" TEXT, "To par" TEXT)
| From what Country is player K. J. Choi with a Score of 68-71=139? | SELECT "Country" FROM table_7268 WHERE "Score" = '68-71=139' AND "Player" = 'k. j. choi' | SELECT "Country" FROM "table_7268" WHERE "Player" = 'k. j. choi' AND "Score" = '68-71=139' | 0.087891 |
CREATE TABLE table_name_40 (notes VARCHAR, authors VARCHAR)
| Which Notes has Authors of zhou clarke zhang? | SELECT notes FROM table_name_40 WHERE authors = "zhou clarke zhang" | SELECT "notes" FROM "table_name_40" WHERE "authors" = "zhou clarke zhang" | 0.071289 |
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
| what was the last value of an sodium lab test in patient 1798 in the first hospital visit? | SELECT labevents.valuenum FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 1798 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime LIMIT 1) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'sodium') ORDER BY labevents.charttime DESC LIMIT 1 | WITH "_u_1" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'sodium' GROUP BY "itemid") SELECT "labevents"."valuenum" FROM "labevents" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "labevents"."itemid" WHERE "labevents"."hadm_id" IN (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 1798 AND NOT "admissions"."dischtime" IS NULL ORDER BY "admissions"."admittime" NULLS FIRST LIMIT 1) AND NOT "_u_1"."" IS NULL ORDER BY "labevents"."charttime" DESC NULLS LAST LIMIT 1 | 0.514648 |
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
| what are the top three most frequent specimen tests that patients took during the same hospital encounter after being diagnosed with hot substance accid nec since 4 years ago? | SELECT t3.spec_type_desc FROM (SELECT t2.spec_type_desc, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, diagnoses_icd.charttime, admissions.hadm_id FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'hot substance accid nec') AND DATETIME(diagnoses_icd.charttime) >= DATETIME(CURRENT_TIME(), '-4 year')) AS t1 JOIN (SELECT admissions.subject_id, microbiologyevents.spec_type_desc, microbiologyevents.charttime, admissions.hadm_id FROM microbiologyevents JOIN admissions ON microbiologyevents.hadm_id = admissions.hadm_id WHERE DATETIME(microbiologyevents.charttime) >= DATETIME(CURRENT_TIME(), '-4 year')) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.charttime AND t1.hadm_id = t2.hadm_id GROUP BY t2.spec_type_desc) AS t3 WHERE t3.c1 <= 3 | WITH "t2" AS (SELECT "admissions"."subject_id", "microbiologyevents"."spec_type_desc", "microbiologyevents"."charttime", "admissions"."hadm_id" FROM "microbiologyevents" JOIN "admissions" ON "admissions"."hadm_id" = "microbiologyevents"."hadm_id" WHERE DATETIME("microbiologyevents"."charttime") >= DATETIME(CURRENT_TIME(), '-4 year')), "t3" AS (SELECT "t2"."spec_type_desc", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'hot substance accid nec' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" JOIN "t2" AS "t2" ON "admissions"."hadm_id" = "t2"."hadm_id" AND "admissions"."subject_id" = "t2"."subject_id" AND "diagnoses_icd"."charttime" < "t2"."charttime" WHERE DATETIME("diagnoses_icd"."charttime") >= DATETIME(CURRENT_TIME(), '-4 year') GROUP BY "t2"."spec_type_desc") SELECT "t3"."spec_type_desc" FROM "t3" AS "t3" WHERE "t3"."c1" <= 3 | 1.000977 |
CREATE TABLE table_29813 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Record" TEXT)
| What was the location attendance when Andray Blatche (9) got high rebounds? | SELECT "Location Attendance" FROM table_29813 WHERE "High rebounds" = 'Andray Blatche (9)' | SELECT "Location Attendance" FROM "table_29813" WHERE "High rebounds" = 'Andray Blatche (9)' | 0.089844 |
CREATE TABLE table_name_52 (network VARCHAR, call_sign VARCHAR, virtual_channel VARCHAR)
| Call sign of k33ln-ld, and a Virtual channel of 33.5 is what network? | SELECT network FROM table_name_52 WHERE call_sign = "k33ln-ld" AND virtual_channel = "33.5" | SELECT "network" FROM "table_name_52" WHERE "33.5" = "virtual_channel" AND "call_sign" = "k33ln-ld" | 0.09668 |
CREATE TABLE sampledata15 (sample_pk DECIMAL, state TEXT, year TEXT, month TEXT, day TEXT, site TEXT, commod TEXT, source_id TEXT, variety TEXT, origin TEXT, country TEXT, disttype TEXT, commtype TEXT, claim TEXT, quantity DECIMAL, growst TEXT, packst TEXT, distst TEXT)
CREATE TABLE resultsdata15 (sample_pk DECIMAL, commod TEXT, commtype TEXT, lab TEXT, pestcode TEXT, testclass TEXT, concen DECIMAL, lod DECIMAL, conunit TEXT, confmethod TEXT, confmethod2 TEXT, annotate TEXT, quantitate TEXT, mean TEXT, extract TEXT, determin TEXT)
| What's the mean result finding for product AP? | SELECT mean FROM resultsdata15 WHERE commod = "AP" | SELECT "mean" FROM "resultsdata15" WHERE "AP" = "commod" | 0.054688 |
CREATE TABLE table_73517 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Record" TEXT)
| What was the record in the game in which Jeff Green (14) did the most high rebounds? | SELECT "Record" FROM table_73517 WHERE "High rebounds" = 'Jeff Green (14)' | SELECT "Record" FROM "table_73517" WHERE "High rebounds" = 'Jeff Green (14)' | 0.074219 |
CREATE TABLE Has_Allergy (StuID INT, Allergy VARCHAR)
CREATE TABLE Student (StuID INT, LName VARCHAR, Fname VARCHAR, Age INT, Sex VARCHAR, Major INT, Advisor INT, city_code VARCHAR)
CREATE TABLE Allergy_Type (Allergy VARCHAR, AllergyType VARCHAR)
| Show the average age for all female students and group them by last name with a bar chart, and could you order the average of age in desc order? | SELECT LName, AVG(Age) FROM Student WHERE Sex = 'F' GROUP BY LName ORDER BY AVG(Age) DESC | SELECT "LName", AVG("Age") FROM "Student" WHERE "Sex" = 'F' GROUP BY "LName" ORDER BY AVG("Age") DESC NULLS LAST | 0.109375 |
CREATE TABLE table_name_66 (points INT, wins VARCHAR, year VARCHAR, class VARCHAR)
| What is the highest points value for 1962, in the 125cc class, and with 0 wins? | SELECT MAX(points) FROM table_name_66 WHERE year = 1962 AND class = "125cc" AND wins < 0 | SELECT MAX("points") FROM "table_name_66" WHERE "125cc" = "class" AND "wins" < 0 AND "year" = 1962 | 0.095703 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| give me the number of patients whose ethnicity is white and admission year is less than 2154? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "WHITE" AND demographic.admityear < "2154" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2154" > "demographic"."admityear" AND "WHITE" = "demographic"."ethnicity" | 0.145508 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| give me the number of patients whose admission location is trsf within this facility and procedure icd9 code is 3734? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_location = "TRSF WITHIN THIS FACILITY" AND procedures.icd9_code = "3734" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "3734" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "TRSF WITHIN THIS FACILITY" = "demographic"."admission_location" | 0.241211 |
CREATE TABLE table_name_43 (earnings___ VARCHAR, events VARCHAR, rank VARCHAR)
| How much money did the player ranked above 3 with under 28 events earn? | SELECT COUNT(earnings___) AS $__ FROM table_name_43 WHERE events < 28 AND rank < 3 | SELECT COUNT("earnings___") AS $__ FROM "table_name_43" WHERE "events" < 28 AND "rank" < 3 | 0.087891 |
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
| PostIds and number of edits of posts with more than 5 edits.. | SELECT PostId, COUNT(PostId) AS c FROM PostHistory, Posts WHERE PostHistoryTypeId IN (SELECT Id FROM PostHistoryTypes WHERE Id > 3 AND Id < 10) AND Posts.Id = PostHistory.PostId AND Posts.PostTypeId = 2 GROUP BY PostId HAVING COUNT(PostId) > 2 LIMIT 50 | SELECT "PostId", COUNT("PostId") AS "c" FROM "PostHistory" JOIN "Posts" ON "PostHistory"."PostId" = "Posts"."Id" AND "Posts"."PostTypeId" = 2 WHERE "PostHistoryTypeId" IN (SELECT "Id" FROM "PostHistoryTypes" WHERE "Id" < 10 AND "Id" > 3) GROUP BY "PostId" HAVING COUNT("PostId") > 2 LIMIT 50 | 0.28418 |
CREATE TABLE table_57254 ("Date" TEXT, "Visitor" TEXT, "Score" TEXT, "Home" TEXT, "Leading scorer" TEXT, "Attendance" FLOAT, "Record" TEXT)
| Name the record for 21 january 2008 | SELECT "Record" FROM table_57254 WHERE "Date" = '21 january 2008' | SELECT "Record" FROM "table_57254" WHERE "Date" = '21 january 2008' | 0.06543 |
CREATE TABLE table_18875 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Record" TEXT)
| Which team played on April 1? | SELECT "Team" FROM table_18875 WHERE "Date" = 'April 1' | SELECT "Team" FROM "table_18875" WHERE "Date" = 'April 1' | 0.055664 |
CREATE TABLE artist (artist_name VARCHAR, country VARCHAR, languages VARCHAR)
CREATE TABLE song (artist_name VARCHAR, country VARCHAR, languages VARCHAR)
| Find the names of the artists who are from UK and have produced English songs. | SELECT artist_name FROM artist WHERE country = "UK" INTERSECT SELECT artist_name FROM song WHERE languages = "english" | SELECT "artist_name" FROM "artist" WHERE "UK" = "country" INTERSECT SELECT "artist_name" FROM "song" WHERE "english" = "languages" | 0.126953 |
CREATE TABLE table_name_38 (length__km_ INT, name VARCHAR, length__mi_ VARCHAR)
| What's the shortest length from north klondike highway that has a length less than 326? | SELECT MIN(length__km_) FROM table_name_38 WHERE name = "north klondike highway" AND length__mi_ < 326 | SELECT MIN("length__km_") FROM "table_name_38" WHERE "length__mi_" < 326 AND "name" = "north klondike highway" | 0.107422 |
CREATE TABLE table_59660 ("Name" TEXT, "Residence" TEXT, "Party" TEXT, "Years in Assembly" TEXT, "Years in Senate" TEXT)
| Which Years in Senate has a Years in Assembly of 2010 present, and toni atkins? | SELECT "Years in Senate" FROM table_59660 WHERE "Years in Assembly" = '2010–present' AND "Name" = 'toni atkins' | SELECT "Years in Senate" FROM "table_59660" WHERE "Name" = 'toni atkins' AND "Years in Assembly" = '2010–present' | 0.110352 |
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
| what were the top four most frequent medications that followed in the same hospital encounter for patients that were prescribed clopidogrel bisulfate in 2103? | SELECT t3.drug FROM (SELECT t2.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, prescriptions.startdate, admissions.hadm_id FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE prescriptions.drug = 'clopidogrel bisulfate' AND STRFTIME('%y', prescriptions.startdate) = '2103') AS t1 JOIN (SELECT admissions.subject_id, prescriptions.drug, prescriptions.startdate, admissions.hadm_id FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE STRFTIME('%y', prescriptions.startdate) = '2103') AS t2 ON t1.subject_id = t2.subject_id WHERE t1.startdate < t2.startdate AND t1.hadm_id = t2.hadm_id GROUP BY t2.drug) AS t3 WHERE t3.c1 <= 4 | WITH "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."drug", "prescriptions"."startdate", "admissions"."hadm_id" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" WHERE STRFTIME('%y', "prescriptions"."startdate") = '2103'), "t3" AS (SELECT "t2"."drug", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" JOIN "t2" AS "t2" ON "admissions"."hadm_id" = "t2"."hadm_id" AND "admissions"."subject_id" = "t2"."subject_id" AND "prescriptions"."startdate" < "t2"."startdate" WHERE "prescriptions"."drug" = 'clopidogrel bisulfate' AND STRFTIME('%y', "prescriptions"."startdate") = '2103' GROUP BY "t2"."drug") SELECT "t3"."drug" FROM "t3" AS "t3" WHERE "t3"."c1" <= 4 | 0.795898 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| calculate the total number of male patients who were dead/expired on discharge | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "M" AND demographic.discharge_location = "DEAD/EXPIRED" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "DEAD/EXPIRED" = "demographic"."discharge_location" AND "M" = "demographic"."gender" | 0.155273 |
CREATE TABLE table_12886178_5 (club VARCHAR, tries_for VARCHAR)
| What club has a tries for count of 19? | SELECT club FROM table_12886178_5 WHERE tries_for = "19" | SELECT "club" FROM "table_12886178_5" WHERE "19" = "tries_for" | 0.060547 |
CREATE TABLE table_15987 ("Week" FLOAT, "Dance/song" TEXT, "Horwood" TEXT, "Goodman" TEXT, "Dixon" TEXT, "Tonioli" TEXT, "Total" TEXT, "Result" TEXT)
| How many scores did Goodman give to 'samba / young hearts run free', which was in second place? | SELECT COUNT("Goodman") FROM table_15987 WHERE "Result" = 'Second place' AND "Dance/song" = 'Samba / Young Hearts Run Free' | SELECT COUNT("Goodman") FROM "table_15987" WHERE "Dance/song" = 'Samba / Young Hearts Run Free' AND "Result" = 'Second place' | 0.12207 |
CREATE TABLE table_5984 ("Year" TEXT, "Sports" TEXT, "Competitors" TEXT, "Gold" TEXT, "Silver" TEXT, "Bronze" TEXT, "Total" TEXT)
| In what Year did Yugoslavia have 4 Competitors with 0 medals Total? | SELECT "Year" FROM table_5984 WHERE "Total" = '0' AND "Competitors" = '4' | SELECT "Year" FROM "table_5984" WHERE "Competitors" = '4' AND "Total" = '0' | 0.073242 |
CREATE TABLE table_42452 ("Year" FLOAT, "Team" TEXT, "Chassis" TEXT, "Engine" TEXT, "Rank" TEXT, "Points" FLOAT)
| Which engine is used when there is a 3rd place rank and 513 points? | SELECT "Engine" FROM table_42452 WHERE "Rank" = '3rd' AND "Points" = '513' | SELECT "Engine" FROM "table_42452" WHERE "Points" = '513' AND "Rank" = '3rd' | 0.074219 |
CREATE TABLE table_61170 ("Rank" TEXT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What is the total number of gold medals of the ranked 2nd nation, which has less than 2 silvers? | SELECT COUNT("Gold") FROM table_61170 WHERE "Rank" = '2' AND "Silver" < '2' | SELECT COUNT("Gold") FROM "table_61170" WHERE "Rank" = '2' AND "Silver" < '2' | 0.075195 |
CREATE TABLE table_name_7 (highest_elevation VARCHAR, highest_point VARCHAR)
| What is the highest elevation for the highest point of Schnebelhorn? | SELECT highest_elevation FROM table_name_7 WHERE highest_point = "schnebelhorn" | SELECT "highest_elevation" FROM "table_name_7" WHERE "highest_point" = "schnebelhorn" | 0.083008 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
| give me the number of patients whose year of birth is less than 2090 and lab test fluid is cerebrospinal fluid (csf)? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dob_year < "2090" AND lab.fluid = "Cerebrospinal Fluid (CSF)" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Cerebrospinal Fluid (CSF)" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2090" > "demographic"."dob_year" | 0.207031 |
CREATE TABLE table_22901612_2 (region VARCHAR, chief_judge VARCHAR)
| If the chief judge is Jeffrey L. Viken, what is the region? | SELECT region FROM table_22901612_2 WHERE chief_judge = "Jeffrey L. Viken" | SELECT "region" FROM "table_22901612_2" WHERE "Jeffrey L. Viken" = "chief_judge" | 0.078125 |
CREATE TABLE table_name_61 (sydney VARCHAR, auckland VARCHAR, melbourne VARCHAR, adelaide VARCHAR, gold_coast VARCHAR)
| what is the Sydney that has Adelaide, Gold Coast, Melbourne, and Auckland are all yes? | SELECT sydney FROM table_name_61 WHERE adelaide = "yes" AND gold_coast = "yes" AND melbourne = "yes" AND auckland = "yes" | SELECT "sydney" FROM "table_name_61" WHERE "adelaide" = "yes" AND "auckland" = "yes" AND "gold_coast" = "yes" AND "melbourne" = "yes" | 0.129883 |
CREATE TABLE table_63454 ("Title" TEXT, "Series" TEXT, "Director" TEXT, "Production Number" FLOAT, "Release date" TEXT)
| From what series was the title with a production number of 1614 that was directed by Friz Freleng? | SELECT "Series" FROM table_63454 WHERE "Director" = 'friz freleng' AND "Production Number" = '1614' | SELECT "Series" FROM "table_63454" WHERE "Director" = 'friz freleng' AND "Production Number" = '1614' | 0.098633 |
CREATE TABLE table_73872 ("Episode #" FLOAT, "Airdate" TEXT, "Movie Title and Year" TEXT, "Main Cast" TEXT, "Network TV Run Time" TEXT)
| How many runtimes does episode 53 have? | SELECT COUNT("Network TV Run Time") FROM table_73872 WHERE "Episode #" = '53' | SELECT COUNT("Network TV Run Time") FROM "table_73872" WHERE "Episode #" = '53' | 0.077148 |
CREATE TABLE Department_Stores (dept_store_id INT, dept_store_chain_id INT, store_name VARCHAR, store_address VARCHAR, store_phone VARCHAR, store_email VARCHAR)
CREATE TABLE Customer_Addresses (customer_id INT, address_id INT, date_from DATETIME, date_to DATETIME)
CREATE TABLE Products (product_id INT, product_type_code VARCHAR, product_name VARCHAR, product_price DECIMAL)
CREATE TABLE Staff (staff_id INT, staff_gender VARCHAR, staff_name VARCHAR)
CREATE TABLE Order_Items (order_item_id INT, order_id INT, product_id INT)
CREATE TABLE Addresses (address_id INT, address_details VARCHAR)
CREATE TABLE Departments (department_id INT, dept_store_id INT, department_name VARCHAR)
CREATE TABLE Customers (customer_id INT, payment_method_code VARCHAR, customer_code VARCHAR, customer_name VARCHAR, customer_address VARCHAR, customer_phone VARCHAR, customer_email VARCHAR)
CREATE TABLE Customer_Orders (order_id INT, customer_id INT, order_status_code VARCHAR, order_date DATETIME)
CREATE TABLE Product_Suppliers (product_id INT, supplier_id INT, date_supplied_from DATETIME, date_supplied_to DATETIME, total_amount_purchased VARCHAR, total_value_purchased DECIMAL)
CREATE TABLE Supplier_Addresses (supplier_id INT, address_id INT, date_from DATETIME, date_to DATETIME)
CREATE TABLE Department_Store_Chain (dept_store_chain_id INT, dept_store_chain_name VARCHAR)
CREATE TABLE Staff_Department_Assignments (staff_id INT, department_id INT, date_assigned_from DATETIME, job_title_code VARCHAR, date_assigned_to DATETIME)
CREATE TABLE Suppliers (supplier_id INT, supplier_name VARCHAR, supplier_phone VARCHAR)
| Return the names and ids of customers who have TN in their address Show bar chart, and show bar in descending order. | SELECT customer_name, customer_id FROM Customers WHERE customer_address LIKE "%TN%" ORDER BY customer_name DESC | SELECT "customer_name", "customer_id" FROM "Customers" WHERE "customer_address" LIKE "%TN%" ORDER BY "customer_name" DESC NULLS LAST | 0.128906 |
CREATE TABLE table_name_17 (laps INT, qual VARCHAR)
| How many laps resulted from a Qual of 165.229? | SELECT MAX(laps) FROM table_name_17 WHERE qual = "165.229" | SELECT MAX("laps") FROM "table_name_17" WHERE "165.229" = "qual" | 0.0625 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
| give me the number of patients less than 41 years who are categorized under chemistry lab test. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "41" AND lab."CATEGORY" = "Chemistry" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Chemistry" = "lab"."CATEGORY" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "41" > "demographic"."age" | 0.1875 |
CREATE TABLE table_13657883_2 (to_winning_team VARCHAR, tu_winning_team VARCHAR)
| What was the to winnning team when the tu winning team was #16 2002? | SELECT to_winning_team FROM table_13657883_2 WHERE tu_winning_team = "#16 2002" | SELECT "to_winning_team" FROM "table_13657883_2" WHERE "#16 2002" = "tu_winning_team" | 0.083008 |
CREATE TABLE station (id INT, name TEXT, lat DECIMAL, long DECIMAL, dock_count INT, city TEXT, installation_date TEXT)
CREATE TABLE status (station_id INT, bikes_available INT, docks_available INT, time TEXT)
CREATE TABLE trip (id INT, duration INT, start_date TEXT, start_station_name TEXT, start_station_id INT, end_date TEXT, end_station_name TEXT, end_station_id INT, bike_id INT, subscription_type TEXT, zip_code INT)
CREATE TABLE weather (date TEXT, max_temperature_f INT, mean_temperature_f INT, min_temperature_f INT, max_dew_point_f INT, mean_dew_point_f INT, min_dew_point_f INT, max_humidity INT, mean_humidity INT, min_humidity INT, max_sea_level_pressure_inches DECIMAL, mean_sea_level_pressure_inches DECIMAL, min_sea_level_pressure_inches DECIMAL, max_visibility_miles INT, mean_visibility_miles INT, min_visibility_miles INT, max_wind_Speed_mph INT, mean_wind_speed_mph INT, max_gust_speed_mph INT, precipitation_inches INT, cloud_cover INT, events TEXT, wind_dir_degrees INT, zip_code INT)
| A bar chart for what are the number of the dates that have an average sea level pressure between 30.3 and 31? | SELECT date, COUNT(date) FROM weather WHERE mean_sea_level_pressure_inches BETWEEN 30.3 AND 31 | SELECT "date", COUNT("date") FROM "weather" WHERE "mean_sea_level_pressure_inches" <= 31 AND "mean_sea_level_pressure_inches" >= 30.3 | 0.129883 |
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
| i want to fly from KANSAS CITY to CHICAGO next wednesday arriving in the evening and returning the next day | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day, days, flight WHERE (((((flight.arrival_time <= 2200 AND flight.arrival_time >= 1800) AND NOT ((flight.arrival_time < 41 OR flight.time_elapsed >= 60) AND flight.departure_time > flight.arrival_time)) AND date_day.day_number = 23 AND date_day.month_number = 4 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'CHICAGO' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'KANSAS CITY' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) OR ((CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'KANSAS CITY' AND date_day.day_number = 23 AND date_day.month_number = 4 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'CHICAGO' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" CROSS JOIN "city" AS "CITY_0" CROSS JOIN "city" AS "CITY_1" CROSS JOIN "date_day" CROSS JOIN "days" CROSS JOIN "flight" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON ("AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" AND "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_0"."city_name" = 'CHICAGO' AND "CITY_1"."city_name" = 'KANSAS CITY' AND "date_day"."day_name" = "days"."day_name" AND "date_day"."day_number" = 23 AND "date_day"."month_number" = 4 AND "date_day"."year" = 1991 AND "days"."days_code" = "flight"."flight_days") OR ("AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" AND "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_0"."city_name" = 'KANSAS CITY' AND "CITY_1"."city_name" = 'CHICAGO' AND "date_day"."day_name" = "days"."day_name" AND "date_day"."day_number" = 23 AND "date_day"."month_number" = 4 AND "date_day"."year" = 1991 AND "days"."days_code" = "flight"."flight_days" AND "flight"."arrival_time" <= 2200 AND ("flight"."arrival_time" >= "flight"."departure_time" OR ("flight"."arrival_time" >= 41 AND "flight"."time_elapsed" < 60)) AND "flight"."arrival_time" >= 1800) | 1.442383 |
CREATE TABLE table_36435 ("Rank" FLOAT, "Highway" TEXT, "Elevation" TEXT, "Surface" TEXT, "Route" FLOAT)
| Elevation of 11,158 feet 3401 m had what route? | SELECT "Route" FROM table_36435 WHERE "Elevation" = '11,158 feet 3401 m' | SELECT "Route" FROM "table_36435" WHERE "Elevation" = '11,158 feet 3401 m' | 0.072266 |
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
| For those employees who do not work in departments with managers that have ids between 100 and 200, find hire_date and the average of salary bin hire_date by time, and visualize them by a bar chart. | SELECT HIRE_DATE, AVG(SALARY) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) | SELECT "HIRE_DATE", AVG("SALARY") FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) | 0.168945 |
CREATE TABLE table_58309 ("Driver" TEXT, "Constructor" TEXT, "Laps" FLOAT, "Time/Retired" TEXT, "Grid" FLOAT)
| What is the time/retired for grid 9? | SELECT "Time/Retired" FROM table_58309 WHERE "Grid" = '9' | SELECT "Time/Retired" FROM "table_58309" WHERE "Grid" = '9' | 0.057617 |
CREATE TABLE table_2668416_7 (result VARCHAR, district VARCHAR)
| What is the result for the district Maryland 7? | SELECT result FROM table_2668416_7 WHERE district = "Maryland 7" | SELECT "result" FROM "table_2668416_7" WHERE "Maryland 7" = "district" | 0.068359 |
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
| Question-Answer distribution on non-closed questions. | SELECT AnswerCount, COUNT(*) FROM Posts WHERE PostTypeId = 1 GROUP BY AnswerCount ORDER BY AnswerCount | SELECT "AnswerCount", COUNT(*) FROM "Posts" WHERE "PostTypeId" = 1 GROUP BY "AnswerCount" ORDER BY "AnswerCount" NULLS FIRST | 0.121094 |
CREATE TABLE table_name_65 (team VARCHAR, qual_1 VARCHAR)
| What is Team, when Qual 1 is 1:16.417? | SELECT team FROM table_name_65 WHERE qual_1 = "1:16.417" | SELECT "team" FROM "table_name_65" WHERE "1:16.417" = "qual_1" | 0.060547 |
CREATE TABLE table_name_61 (year VARCHAR, location VARCHAR)
| What year is the location Ta'izz? | SELECT year FROM table_name_61 WHERE location = "ta'izz" | SELECT "year" FROM "table_name_61" WHERE "location" = "ta'izz" | 0.060547 |
CREATE TABLE table_16388478_2 (away_team VARCHAR, crowd VARCHAR)
| What were all the away teams when the crowd was 13304? | SELECT away_team FROM table_16388478_2 WHERE crowd = 13304 | SELECT "away_team" FROM "table_16388478_2" WHERE "crowd" = 13304 | 0.0625 |
CREATE TABLE problem_log (problem_log_id DECIMAL, assigned_to_staff_id DECIMAL, problem_id DECIMAL, problem_category_code TEXT, problem_status_code TEXT, log_entry_date TIME, log_entry_description TEXT, log_entry_fix TEXT, other_log_details TEXT)
CREATE TABLE staff (staff_id DECIMAL, staff_first_name TEXT, staff_last_name TEXT, other_staff_details TEXT)
CREATE TABLE problem_status_codes (problem_status_code TEXT, problem_status_description TEXT)
CREATE TABLE problems (problem_id DECIMAL, product_id DECIMAL, closure_authorised_by_staff_id DECIMAL, reported_by_staff_id DECIMAL, date_problem_reported TIME, date_problem_closed TIME, problem_description TEXT, other_problem_details TEXT)
CREATE TABLE problem_category_codes (problem_category_code TEXT, problem_category_description TEXT)
CREATE TABLE product (product_id DECIMAL, product_name TEXT, product_details TEXT)
| What is the oldest log id and its corresponding problem id? | SELECT problem_log_id, problem_id FROM problem_log ORDER BY log_entry_date LIMIT 1 | SELECT "problem_log_id", "problem_id" FROM "problem_log" ORDER BY "log_entry_date" NULLS FIRST LIMIT 1 | 0.099609 |
CREATE TABLE table_name_22 (to_par VARCHAR, country VARCHAR, place VARCHAR, score VARCHAR)
| What is the to par of the player from the United States with a t6 place and a score of 70-73-68-73=284? | SELECT to_par FROM table_name_22 WHERE country = "united states" AND place = "t6" AND score = 70 - 73 - 68 - 73 = 284 | SELECT "to_par" FROM "table_name_22" WHERE "country" = "united states" AND "place" = "t6" AND "score" = FALSE | 0.106445 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| how many patients under 49 years of age stayed in hospital for more than 4 days? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.age < "49" AND demographic.days_stay > "4" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "4" < "demographic"."days_stay" AND "49" > "demographic"."age" | 0.133789 |
CREATE TABLE table_174491_1 (winter_olympics VARCHAR, winner VARCHAR)
| What year did Thorleif Haug win the Winter Olympics? | SELECT winter_olympics FROM table_174491_1 WHERE winner = "Thorleif Haug" | SELECT "winter_olympics" FROM "table_174491_1" WHERE "Thorleif Haug" = "winner" | 0.077148 |
CREATE TABLE table_60079 ("Place" TEXT, "Player" TEXT, "Country" TEXT, "Score" TEXT, "To par" TEXT)
| What is Place, when Score is '69-69=138', and when Country is 'United States'? | SELECT "Place" FROM table_60079 WHERE "Score" = '69-69=138' AND "Country" = 'united states' | SELECT "Place" FROM "table_60079" WHERE "Country" = 'united states' AND "Score" = '69-69=138' | 0.09082 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| count the number of patients whose admission year is less than 2138 and procedure short title is tonsil&adenoid biopsy? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admityear < "2138" AND procedures.short_title = "Tonsil&adenoid biopsy" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Tonsil&adenoid biopsy" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "2138" > "demographic"."admityear" | 0.230469 |
CREATE TABLE table_name_96 (home_team VARCHAR, away_team VARCHAR)
| What is the home team score when the away team is Collingwood? | SELECT home_team AS score FROM table_name_96 WHERE away_team = "collingwood" | SELECT "home_team" AS "score" FROM "table_name_96" WHERE "away_team" = "collingwood" | 0.082031 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| give me the number of patients whose marital status is divorced and procedure long title is coronary arteriography using a single catheter? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.marital_status = "DIVORCED" AND procedures.long_title = "Coronary arteriography using a single catheter" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Coronary arteriography using a single catheter" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "DIVORCED" = "demographic"."marital_status" | 0.262695 |
CREATE TABLE wine (No INT, Grape TEXT, Winery TEXT, Appelation TEXT, State TEXT, Name TEXT, Year INT, Price INT, Score INT, Cases INT, Drink TEXT)
CREATE TABLE appellations (No INT, Appelation TEXT, County TEXT, State TEXT, Area TEXT, isAVA TEXT)
CREATE TABLE grapes (ID INT, Grape TEXT, Color TEXT)
| A scatter, shows the correlation between the maximum price and the score of wines for each year. | SELECT MAX(Price), MAX(Score) FROM wine GROUP BY MAX(Price) | SELECT MAX("Price"), MAX("Score") FROM "wine" GROUP BY MAX("Price") | 0.06543 |
CREATE TABLE table_75601 ("Call sign" TEXT, "Frequency MHz" FLOAT, "City of license" TEXT, "ERP W" FLOAT, "Class" TEXT, "FCC info" TEXT)
| Frequency MHz of 88.7 had what average erp w? | SELECT AVG("ERP W") FROM table_75601 WHERE "Frequency MHz" = '88.7' | SELECT AVG("ERP W") FROM "table_75601" WHERE "Frequency MHz" = '88.7' | 0.067383 |
CREATE TABLE table_name_90 (nationality VARCHAR, rank VARCHAR)
| Which nationality has rank 4? | SELECT nationality FROM table_name_90 WHERE rank = 4 | SELECT "nationality" FROM "table_name_90" WHERE "rank" = 4 | 0.056641 |
CREATE TABLE table_204_120 (id DECIMAL, "rank" DECIMAL, "athlete" TEXT, "country" TEXT, "time" TEXT, "notes" TEXT)
| the number of total skaters in the competition | SELECT COUNT("athlete") FROM table_204_120 | SELECT COUNT("athlete") FROM "table_204_120" | 0.042969 |
CREATE TABLE table_38882 ("Rider" TEXT, "Bike" TEXT, "Laps" FLOAT, "Time" TEXT, "Grid" FLOAT)
| What was the number of Laps with a Grid of more than 3 and Time of 39:24.967? | SELECT MIN("Laps") FROM table_38882 WHERE "Grid" > '3' AND "Time" = '39:24.967' | SELECT MIN("Laps") FROM "table_38882" WHERE "Grid" > '3' AND "Time" = '39:24.967' | 0.079102 |
CREATE TABLE station (id INT, name TEXT, lat DECIMAL, long DECIMAL, dock_count INT, city TEXT, installation_date TEXT)
CREATE TABLE weather (date TEXT, max_temperature_f INT, mean_temperature_f INT, min_temperature_f INT, max_dew_point_f INT, mean_dew_point_f INT, min_dew_point_f INT, max_humidity INT, mean_humidity INT, min_humidity INT, max_sea_level_pressure_inches DECIMAL, mean_sea_level_pressure_inches DECIMAL, min_sea_level_pressure_inches DECIMAL, max_visibility_miles INT, mean_visibility_miles INT, min_visibility_miles INT, max_wind_Speed_mph INT, mean_wind_speed_mph INT, max_gust_speed_mph INT, precipitation_inches INT, cloud_cover INT, events TEXT, wind_dir_degrees INT, zip_code INT)
CREATE TABLE trip (id INT, duration INT, start_date TEXT, start_station_name TEXT, start_station_id INT, end_date TEXT, end_station_name TEXT, end_station_id INT, bike_id INT, subscription_type TEXT, zip_code INT)
CREATE TABLE status (station_id INT, bikes_available INT, docks_available INT, time TEXT)
| What are the ids and names of all start stations that were the beginning of at least 200 trips Show bar chart, sort start_station_id from high to low order. | SELECT start_station_name, start_station_id FROM trip ORDER BY start_station_id DESC | SELECT "start_station_name", "start_station_id" FROM "trip" ORDER BY "start_station_id" DESC NULLS LAST | 0.100586 |
CREATE TABLE table_42315 ("Country" TEXT, "Automobile Name" TEXT, "Manufacturer" TEXT, "Engine Make/Capacity" TEXT, "Year" TEXT)
| What is the name of the car manufactured by Letecke Zavody N.P., Jinonice? | SELECT "Automobile Name" FROM table_42315 WHERE "Manufacturer" = 'letecke zavody n.p., jinonice' | SELECT "Automobile Name" FROM "table_42315" WHERE "Manufacturer" = 'letecke zavody n.p., jinonice' | 0.095703 |
CREATE TABLE table_name_68 (round INT, school_club_team VARCHAR, pick VARCHAR)
| Which Round has a School/Club Team of arizona, and a Pick smaller than 298? | SELECT MAX(round) FROM table_name_68 WHERE school_club_team = "arizona" AND pick < 298 | SELECT MAX("round") FROM "table_name_68" WHERE "arizona" = "school_club_team" AND "pick" < 298 | 0.091797 |
CREATE TABLE table_name_35 (points INT, score VARCHAR)
| Which Points have a Score of 4 1? | SELECT MAX(points) FROM table_name_35 WHERE score = "4–1" | SELECT MAX("points") FROM "table_name_35" WHERE "4–1" = "score" | 0.061523 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| count the number of patients whose discharge location is rehab/distinct part hosp and diagnoses short title is injury-hanging? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.discharge_location = "REHAB/DISTINCT PART HOSP" AND diagnoses.short_title = "Injury-hanging" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Injury-hanging" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "REHAB/DISTINCT PART HOSP" = "demographic"."discharge_location" | 0.249023 |
CREATE TABLE table_name_52 (away_team VARCHAR)
| In the match where Melbourne was the away team, how much did they score? | SELECT away_team AS score FROM table_name_52 WHERE away_team = "melbourne" | SELECT "away_team" AS "score" FROM "table_name_52" WHERE "away_team" = "melbourne" | 0.080078 |
CREATE TABLE table_name_11 (water_depth VARCHAR, entered_service VARCHAR, name VARCHAR)
| What was the water depth that entered service in 2001 named Cajun Express? | SELECT water_depth FROM table_name_11 WHERE entered_service = "2001" AND name = "cajun express" | SELECT "water_depth" FROM "table_name_11" WHERE "2001" = "entered_service" AND "cajun express" = "name" | 0.100586 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
| how many patients on td route of drug administration have hyperglycemia; hyponatremia primary disease? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.diagnosis = "HYPERGLYCEMIA;HYPONATREMIA" AND prescriptions.route = "TD" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "TD" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "HYPERGLYCEMIA;HYPONATREMIA" = "demographic"."diagnosis" | 0.236328 |
CREATE TABLE Customers (customer_id INT, customer_address_id INT, customer_status_code VARCHAR, date_became_customer DATETIME, date_of_birth DATETIME, first_name VARCHAR, last_name VARCHAR, amount_outstanding DOUBLE, email_address VARCHAR, phone_number VARCHAR, cell_mobile_phone_number VARCHAR)
CREATE TABLE Customer_Payments (customer_id INT, datetime_payment DATETIME, payment_method_code VARCHAR, amount_payment DOUBLE)
CREATE TABLE Lessons (lesson_id INT, customer_id INT, lesson_status_code VARCHAR, staff_id INT, vehicle_id INT, lesson_date DATETIME, lesson_time VARCHAR, price DOUBLE)
CREATE TABLE Vehicles (vehicle_id INT, vehicle_details VARCHAR)
CREATE TABLE Staff (staff_id INT, staff_address_id INT, nickname VARCHAR, first_name VARCHAR, middle_name VARCHAR, last_name VARCHAR, date_of_birth DATETIME, date_joined_staff DATETIME, date_left_staff DATETIME)
CREATE TABLE Addresses (address_id INT, line_1_number_building VARCHAR, city VARCHAR, zip_postcode VARCHAR, state_province_county VARCHAR, country VARCHAR)
| List all payment methods and number of payments using each payment methods by a bar chart. | SELECT payment_method_code, COUNT(*) FROM Customer_Payments GROUP BY payment_method_code | SELECT "payment_method_code", COUNT(*) FROM "Customer_Payments" GROUP BY "payment_method_code" | 0.091797 |
CREATE TABLE Accounts (Account_ID INT, Statement_ID INT, Account_Details VARCHAR)
CREATE TABLE Documents (Document_ID INT, Document_Type_Code CHAR, Project_ID INT, Document_Date DATETIME, Document_Name VARCHAR, Document_Description VARCHAR, Other_Details VARCHAR)
CREATE TABLE Projects (Project_ID INT, Project_Details VARCHAR)
CREATE TABLE Documents_with_Expenses (Document_ID INT, Budget_Type_Code CHAR, Document_Details VARCHAR)
CREATE TABLE Statements (Statement_ID INT, Statement_Details VARCHAR)
CREATE TABLE Ref_Document_Types (Document_Type_Code CHAR, Document_Type_Name VARCHAR, Document_Type_Description VARCHAR)
CREATE TABLE Ref_Budget_Codes (Budget_Type_Code CHAR, Budget_Type_Description VARCHAR)
| How many accounts for different statement details? Draw a bar chart, list by the bars in descending. | SELECT Statement_Details, COUNT(Statement_Details) FROM Accounts AS T1 JOIN Statements AS T2 ON T1.Statement_ID = T2.Statement_ID GROUP BY Statement_Details ORDER BY Statement_Details DESC | SELECT "Statement_Details", COUNT("Statement_Details") FROM "Accounts" AS "T1" JOIN "Statements" AS "T2" ON "T1"."Statement_ID" = "T2"."Statement_ID" GROUP BY "Statement_Details" ORDER BY "Statement_Details" DESC NULLS LAST | 0.217773 |
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
| what was the medication patient 002-47556 had been prescribed two times during the last hospital visit? | SELECT t1.drugname FROM (SELECT medication.drugname, COUNT(medication.drugstarttime) AS c1 FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '002-47556' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime DESC LIMIT 1)) GROUP BY medication.drugname) AS t1 WHERE t1.c1 = 2 | WITH "t1" AS (SELECT "medication"."drugname", COUNT("medication"."drugstarttime") AS "c1" FROM "medication" WHERE "medication"."patientunitstayid" IN (SELECT "patient"."patientunitstayid" FROM "patient" WHERE "patient"."patienthealthsystemstayid" IN (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '002-47556' AND NOT "patient"."hospitaldischargetime" IS NULL ORDER BY "patient"."hospitaladmittime" DESC NULLS LAST LIMIT 1)) GROUP BY "medication"."drugname") SELECT "t1"."drugname" FROM "t1" AS "t1" WHERE "t1"."c1" = 2 | 0.548828 |
CREATE TABLE table_name_26 (city VARCHAR, year_joined VARCHAR, conference_joined VARCHAR)
| What city joined the Independents conference after 1963? | SELECT city FROM table_name_26 WHERE year_joined > 1963 AND conference_joined = "independents" | SELECT "city" FROM "table_name_26" WHERE "conference_joined" = "independents" AND "year_joined" > 1963 | 0.099609 |
CREATE TABLE table_name_23 (money___ INT, score VARCHAR)
| How much was paid to the player whose score was 70-71-77-76=294? | SELECT SUM(money___) AS $__ FROM table_name_23 WHERE score = 70 - 71 - 77 - 76 = 294 | SELECT SUM("money___") AS $__ FROM "table_name_23" WHERE "score" = FALSE | 0.070313 |
CREATE TABLE table_17085724_1 (brighton_cast VARCHAR, character VARCHAR)
| Name the brighton cast for jerry cruncher | SELECT brighton_cast FROM table_17085724_1 WHERE character = "Jerry Cruncher" | SELECT "brighton_cast" FROM "table_17085724_1" WHERE "Jerry Cruncher" = "character" | 0.081055 |
CREATE TABLE table_24705 ("Rank" FLOAT, "School" TEXT, "Basic Elements" TEXT, "Tumbling" TEXT, "Stunts" TEXT, "Tosses" TEXT, "Pyramids" TEXT, "Deductions" TEXT, "Total" TEXT)
| If the rank is 11, what is the total amount? | SELECT "Total" FROM table_24705 WHERE "Rank" = '11' | SELECT "Total" FROM "table_24705" WHERE "Rank" = '11' | 0.051758 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| what is the number of patients whose primary disease is rash and drug route is tp? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.diagnosis = "RASH" AND prescriptions.route = "TP" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "TP" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "RASH" = "demographic"."diagnosis" | 0.214844 |
CREATE TABLE table_8231 ("Game" TEXT, "Date" TEXT, "Home Team" TEXT, "Result" TEXT, "Road Team" TEXT)
| What was the result of game 3? | SELECT "Result" FROM table_8231 WHERE "Game" = 'game 3' | SELECT "Result" FROM "table_8231" WHERE "Game" = 'game 3' | 0.055664 |
CREATE TABLE table_65064 ("Pick" FLOAT, "Player" TEXT, "Country of origin*" TEXT, "PBA team" TEXT, "College" TEXT)
| What is Ateneo de Manila's PBA Team? | SELECT "PBA team" FROM table_65064 WHERE "College" = 'ateneo de manila' | SELECT "PBA team" FROM "table_65064" WHERE "College" = 'ateneo de manila' | 0.071289 |
CREATE TABLE table_80087 ("Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Loss" TEXT, "Record" TEXT)
| Name the loss for record of 71-81 | SELECT "Loss" FROM table_80087 WHERE "Record" = '71-81' | SELECT "Loss" FROM "table_80087" WHERE "Record" = '71-81' | 0.055664 |
CREATE TABLE table_name_7 (team VARCHAR, attempts VARCHAR)
| What is the name of the team that has 307 attempts? | SELECT team FROM table_name_7 WHERE attempts = "307" | SELECT "team" FROM "table_name_7" WHERE "307" = "attempts" | 0.056641 |
CREATE TABLE table_name_91 (Id VARCHAR)
| Which 2007 is the lowest one that has a 2004 of 78, and a 2006 smaller than 80? | SELECT MIN(2007) FROM table_name_91 WHERE 2004 = 78 AND 2006 < 80 | SELECT MIN(2007) FROM "table_name_91" WHERE FALSE | 0.047852 |
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