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CREATE TABLE table_20717 ("Institution" CLOB, "Location" CLOB, "Team Nickname" CLOB, "Joined TSCHL" FLOAT, "Home Arena" CLOB, "Capacity" FLOAT, "Team Website" CLOB)
| Which city has the cincinnati hockey website? | SELECT "Location" FROM table_20717 WHERE "Team Website" = 'Cincinnati Hockey' | SELECT "Location" FROM "table_20717" WHERE "Team Website" = 'Cincinnati Hockey' | 0.077148 |
CREATE TABLE table_name_60 (engine NUMBER, model VARCHAR2, chassis VARCHAR2)
| Which Engine has a Model of sl500, and a Chassis smaller than 129.067? | SELECT MIN(engine) FROM table_name_60 WHERE model = "sl500" AND chassis < 129.067 | SELECT MIN("engine") FROM "table_name_60" WHERE "chassis" < 129.067 AND "model" = "sl500" | 0.086914 |
CREATE TABLE table_53984 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| Where did the away team score 10.11 (71)? | SELECT "Venue" FROM table_53984 WHERE "Away team score" = '10.11 (71)' | SELECT "Venue" FROM "table_53984" WHERE "Away team score" = '10.11 (71)' | 0.070313 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| how many patients whose age is less than 41 and lab test category is chemistry? | 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 albums (label VARCHAR2)
| What is the label that has the most albums? | SELECT label FROM albums GROUP BY label ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "label" FROM "albums" GROUP BY "label" ORDER BY COUNT(*) DESC FETCH FIRST 1 ROWS ONLY | 0.089844 |
CREATE TABLE table_13796 ("Name" CLOB, "Population ( 2011 ) " FLOAT, "Population ( 2006 ) " CLOB, "Change ( % ) " CLOB, "Land area ( km\\u00b2 ) " CLOB, "Population density ( per km\\u00b2 ) " CLOB)
| What population density (per km) that has 84 as the population (2006)? | SELECT "Population density (per km\u00b2)" FROM table_13796 WHERE "Population (2006)" = '84' | SELECT "Population density (per km\u00b2)" FROM "table_13796" WHERE "Population (2006)" = '84' | 0.091797 |
CREATE TABLE table_65265 ("Township" CLOB, "County" CLOB, "Pop. ( 2010 ) " FLOAT, "Land ( sqmi ) " FLOAT, "Water ( sqmi ) " FLOAT, "Latitude" FLOAT, "Longitude" FLOAT, "GEO ID" FLOAT, "ANSI code" FLOAT)
| What is the total latitude of the greenland township with more than 34.846 sqmi of land, a geo id less than 3805529660, and an ANSI code greater than 1036405? | SELECT COUNT("Latitude") FROM table_65265 WHERE "Land ( sqmi )" > '34.846' AND "GEO ID" < '3805529660' AND "Township" = 'greenland' AND "ANSI code" > '1036405' | SELECT COUNT("Latitude") FROM "table_65265" WHERE "ANSI code" > '1036405' AND "GEO ID" < '3805529660' AND "Land ( sqmi )" > '34.846' AND "Township" = 'greenland' | 0.157227 |
CREATE TABLE table_204_260 (id NUMBER, "date" CLOB, "venue" CLOB, "opponent" CLOB, "result" CLOB, "tournament" CLOB, "scored" NUMBER)
| name a match where the difference in score is higher than 50 . | SELECT "date" FROM table_204_260 WHERE ABS("result" - "result") > 50 | SELECT "date" FROM "table_204_260" WHERE ABS("result" - "result") > 50 | 0.068359 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| how many patients are admitted in emergency room and lab tested for easinophils? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admission_location = "EMERGENCY ROOM ADMIT" AND lab.label = "Eosinophils" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Eosinophils" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "EMERGENCY ROOM ADMIT" = "demographic"."admission_location" | 0.21875 |
CREATE TABLE table_69517 ("Club" CLOB, "Played" CLOB, "Drawn" CLOB, "Lost" CLOB, "Points for" CLOB, "Points against" CLOB, "Tries for" CLOB, "Tries against" CLOB, "Try bonus" CLOB, "Losing bonus" CLOB, "Points" CLOB)
| What try bonus drew 0 and scored 427 points for? | SELECT "Try bonus" FROM table_69517 WHERE "Drawn" = '0' AND "Points for" = '427' | SELECT "Try bonus" FROM "table_69517" WHERE "Drawn" = '0' AND "Points for" = '427' | 0.080078 |
CREATE TABLE table_65719 ("Rank" FLOAT, "Rider" CLOB, "Team" CLOB, "Speed" CLOB, "Time" CLOB)
| What was the speed with a time of 1:03.41.86 and a rank smaller than 3? | SELECT "Speed" FROM table_65719 WHERE "Rank" < '3' AND "Time" = '1:03.41.86' | SELECT "Speed" FROM "table_65719" WHERE "Rank" < '3' AND "Time" = '1:03.41.86' | 0.076172 |
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
| when was the last time patient 027-149724, today, had the maximum sao2? | SELECT vitalperiodic.observationtime FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '027-149724')) AND NOT vitalperiodic.sao2 IS NULL AND DATETIME(vitalperiodic.observationtime, 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-0 day') ORDER BY vitalperiodic.sao2 DESC, vitalperiodic.observationtime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '027-149724' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "vitalperiodic"."observationtime" FROM "vitalperiodic" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "vitalperiodic"."patientunitstayid" WHERE DATETIME("vitalperiodic"."observationtime", 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-0 day') AND NOT "_u_1"."" IS NULL AND NOT "vitalperiodic"."sao2" IS NULL ORDER BY "vitalperiodic"."sao2" DESC, "vitalperiodic"."observationtime" DESC FETCH FIRST 1 ROWS ONLY | 0.758789 |
CREATE TABLE table_25421463_1 (team_name VARCHAR2, points VARCHAR2)
| What team was Sigachev on when he had 38 points? | SELECT team_name FROM table_25421463_1 WHERE points = "38" | SELECT "team_name" FROM "table_25421463_1" WHERE "38" = "points" | 0.0625 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| What is the age and insurance of Hector Blair? | SELECT demographic.age, demographic.insurance FROM demographic WHERE demographic.name = "Hector Blair" | SELECT "demographic"."age", "demographic"."insurance" FROM "demographic" WHERE "Hector Blair" = "demographic"."name" | 0.113281 |
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
| what is the average hospital cost for a patient suffering from facial bone fracture - orbital fracture since 3 years ago? | SELECT AVG(t1.c1) FROM (SELECT SUM(cost.cost) AS c1 FROM cost WHERE cost.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.patientunitstayid IN (SELECT diagnosis.patientunitstayid FROM diagnosis WHERE diagnosis.diagnosisname = 'facial bone fracture - orbital fracture')) AND DATETIME(cost.chargetime) >= DATETIME(CURRENT_TIME(), '-3 year') GROUP BY cost.patienthealthsystemstayid) AS t1 | WITH "_u_0" AS (SELECT "diagnosis"."patientunitstayid" FROM "diagnosis" WHERE "diagnosis"."diagnosisname" = 'facial bone fracture - orbital fracture' GROUP BY "patientunitstayid"), "_u_1" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patientunitstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patienthealthsystemstayid"), "t1" AS (SELECT SUM("cost"."cost") AS "c1" FROM "cost" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "cost"."patienthealthsystemstayid" WHERE DATETIME("cost"."chargetime") >= DATETIME(CURRENT_TIME(), '-3 year') AND NOT "_u_1"."" IS NULL GROUP BY "cost"."patienthealthsystemstayid") SELECT AVG("t1"."c1") FROM "t1" "t1" | 0.682617 |
CREATE TABLE table_name_35 (original_air_date VARCHAR2, directed_by VARCHAR2, production_code VARCHAR2)
| What is the Original air date for the episode directed by lev l. spiro, with a Production code of 07-00-109? | SELECT original_air_date FROM table_name_35 WHERE directed_by = "lev l. spiro" AND production_code = "07-00-109" | SELECT "original_air_date" FROM "table_name_35" WHERE "07-00-109" = "production_code" AND "directed_by" = "lev l. spiro" | 0.117188 |
CREATE TABLE table_name_95 (date VARCHAR2, away_team VARCHAR2)
| When did Hawthorn play as the away team? | SELECT date FROM table_name_95 WHERE away_team = "hawthorn" | SELECT "date" FROM "table_name_95" WHERE "away_team" = "hawthorn" | 0.063477 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| what is average age of patients whose primary disease is neoplasm of uncertain behavior of other lymphatic and hematopoietic tissues\bone marrow transplant and days of hospital stay is 23? | SELECT AVG(demographic.age) FROM demographic WHERE demographic.diagnosis = "NEOPLASM OF UNCERTAIN BEHAVIOR OF OTHER LYMPHATIC AND HEMATOPOIETIC TISSUES\BONE MARROW TRANSPLANT" AND demographic.days_stay = "23" | SELECT AVG("demographic"."age") FROM "demographic" WHERE "23" = "demographic"."days_stay" AND "NEOPLASM OF UNCERTAIN BEHAVIOR OF OTHER LYMPHATIC AND HEMATOPOIETIC TISSUES\BONE MARROW TRANSPLANT" = "demographic"."diagnosis" | 0.216797 |
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
| what was the insurance name of patient 3125 during their current hospital encounter? | SELECT admissions.insurance FROM admissions WHERE admissions.subject_id = 3125 AND admissions.dischtime IS NULL | SELECT "admissions"."insurance" FROM "admissions" WHERE "admissions"."dischtime" IS NULL AND "admissions"."subject_id" = 3125 | 0.12207 |
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
| what does it cost for an gastrostomy infection diagnosis? | SELECT DISTINCT cost.cost FROM cost WHERE cost.event_type = 'diagnoses_icd' AND cost.event_id IN (SELECT diagnoses_icd.row_id FROM diagnoses_icd WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'gastrostomy infection')) | WITH "_u_1" AS (SELECT "diagnoses_icd"."row_id" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'gastrostomy infection' GROUP BY "row_id") SELECT DISTINCT "cost"."cost" FROM "cost" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "cost"."event_id" WHERE "cost"."event_type" = 'diagnoses_icd' AND NOT "_u_1"."" IS NULL | 0.394531 |
CREATE TABLE table_name_52 (crowd VARCHAR2, home_team VARCHAR2)
| In the game where the home team was St Kilda, what was the attendance? | SELECT crowd FROM table_name_52 WHERE home_team = "st kilda" | SELECT "crowd" FROM "table_name_52" WHERE "home_team" = "st kilda" | 0.064453 |
CREATE TABLE table_64415 ("Rank" FLOAT, "Rowers" CLOB, "Country" CLOB, "Time" CLOB, "Notes" CLOB)
| What is the lowest rank has 7:09.06 as the time? | SELECT MIN("Rank") FROM table_64415 WHERE "Time" = '7:09.06' | SELECT MIN("Rank") FROM "table_64415" WHERE "Time" = '7:09.06' | 0.060547 |
CREATE TABLE table_name_34 (game NUMBER, time VARCHAR2)
| What game had the highest score and a time of 2:35? | SELECT MAX(game) FROM table_name_34 WHERE time = "2:35" | SELECT MAX("game") FROM "table_name_34" WHERE "2:35" = "time" | 0.05957 |
CREATE TABLE table_204_127 (id NUMBER, "outcome" CLOB, "no." NUMBER, "date" CLOB, "tournament" CLOB, "surface" CLOB, "opponent" CLOB, "score" CLOB)
| what is the total number of tournamnets on the chart ? | SELECT COUNT("tournament") FROM table_204_127 | SELECT COUNT("tournament") FROM "table_204_127" | 0.045898 |
CREATE TABLE table_65013 ("Date" CLOB, "Ship Name" CLOB, "Flag" CLOB, "Tonnage ( GRT ) " FLOAT, "Fate" CLOB, "Deaths" FLOAT)
| How much tonnage has a Fate of sunk, and a Flag of great britain, and a Date of 26 september 1940, and Deaths of 2? | SELECT SUM("Tonnage ( GRT )") FROM table_65013 WHERE "Fate" = 'sunk' AND "Flag" = 'great britain' AND "Date" = '26 september 1940' AND "Deaths" = '2' | SELECT SUM("Tonnage ( GRT )") FROM "table_65013" WHERE "Date" = '26 september 1940' AND "Deaths" = '2' AND "Fate" = 'sunk' AND "Flag" = 'great britain' | 0.147461 |
CREATE TABLE table_30134667_2 (fastest_lap VARCHAR2, date VARCHAR2)
| Who had the fastest lap on september 4? | SELECT fastest_lap FROM table_30134667_2 WHERE date = "September 4" | SELECT "fastest_lap" FROM "table_30134667_2" WHERE "September 4" = "date" | 0.071289 |
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
| what are the three most commonly ordered procedures for patients in the age of 30s until 3 years ago? | SELECT t1.treatmentname FROM (SELECT treatment.treatmentname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.age BETWEEN 30 AND 39) AND DATETIME(treatment.treatmenttime) <= DATETIME(CURRENT_TIME(), '-3 year') GROUP BY treatment.treatmentname) AS t1 WHERE t1.c1 <= 3 | WITH "_u_0" AS (SELECT "patient"."patientunitstayid" FROM "patient" WHERE "patient"."age" <= 39 AND "patient"."age" >= 30 GROUP BY "patientunitstayid"), "t1" AS (SELECT "treatment"."treatmentname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "treatment" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "treatment"."patientunitstayid" WHERE DATETIME("treatment"."treatmenttime") <= DATETIME(CURRENT_TIME(), '-3 year') AND NOT "_u_0"."" IS NULL GROUP BY "treatment"."treatmentname") SELECT "t1"."treatmentname" FROM "t1" "t1" WHERE "t1"."c1" <= 3 | 0.53418 |
CREATE TABLE table_25931938_1 (aggregate VARCHAR2, dances VARCHAR2, known_for VARCHAR2)
| What was the aggregate for the celebrity who was known for being a singer and had 7 dances? | SELECT aggregate FROM table_25931938_1 WHERE dances = 7 AND known_for = "Singer" | SELECT "aggregate" FROM "table_25931938_1" WHERE "Singer" = "known_for" AND "dances" = 7 | 0.085938 |
CREATE TABLE table_55370 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| Which home team's venue is junction oval? | SELECT "Home team" FROM table_55370 WHERE "Venue" = 'junction oval' | SELECT "Home team" FROM "table_55370" WHERE "Venue" = 'junction oval' | 0.067383 |
CREATE TABLE table_22265225_1 (original_air_date VARCHAR2, production_code VARCHAR2)
| What day did the episode with a production code of 218 originally air? | SELECT original_air_date FROM table_22265225_1 WHERE production_code = "218" | SELECT "original_air_date" FROM "table_22265225_1" WHERE "218" = "production_code" | 0.080078 |
CREATE TABLE table_15189 ("Year" FLOAT, "Population ( Total ) " FLOAT, " ( Barcaldine ) " FLOAT, " ( Aramac ) " FLOAT, " ( Jericho ) " FLOAT)
| What is the average (Barcaldine) with a Population (Total) less than 3,594 and a 920 (Jericho) after 2006? | SELECT AVG("(Barcaldine)") FROM table_15189 WHERE "Population (Total)" < '3,594' AND "(Jericho)" = '920' AND "Year" > '2006' | SELECT AVG("(Barcaldine)") FROM "table_15189" WHERE "(Jericho)" = '920' AND "Population (Total)" < '3,594' AND "Year" > '2006' | 0.123047 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| provide the number of patients whose gender is f and admission year is less than 2203? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "F" AND demographic.admityear < "2203" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2203" > "demographic"."admityear" AND "F" = "demographic"."gender" | 0.138672 |
CREATE TABLE table_61737 ("7:00 am" CLOB, "7:30 am" CLOB, "8:00 am" CLOB, "9:00 am" CLOB, "11:00 am" CLOB, "noon" CLOB, "12:30 pm" CLOB, "1:00 pm" CLOB, "1:30 pm" CLOB, "2:00 pm" CLOB, "3:00 pm" CLOB, "4:30 pm" CLOB, "5:00 pm" CLOB, "6:30 pm" CLOB)
| What 1:00 pm has an 11:00 am of the view? | SELECT "1:00 pm" FROM table_61737 WHERE "11:00 am" = 'the view' | SELECT "1:00 pm" FROM "table_61737" WHERE "11:00 am" = 'the view' | 0.063477 |
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
| Which courses have Prof. Danielle Czarnecki as the teacher ? | SELECT DISTINCT course.department, course.name, course.number FROM course, course_offering, instructor, offering_instructor WHERE course.course_id = course_offering.course_id AND instructor.name LIKE '%Danielle Czarnecki%' AND offering_instructor.instructor_id = instructor.instructor_id AND offering_instructor.offering_id = course_offering.offering_id | SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "offering_instructor" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" AND "instructor"."name" LIKE '%Danielle Czarnecki%' | 0.398438 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| Count the number of married patients who had a wbc pleural lab test done. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.marital_status = "MARRIED" AND lab.label = "WBC, Pleural" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "WBC, Pleural" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "MARRIED" = "demographic"."marital_status" | 0.203125 |
CREATE TABLE table_1184344_1 (cr_no VARCHAR2, l NUMBER, name VARCHAR2)
| What was the maximum l&cr number for archimedes? | SELECT MAX(l) & cr_no FROM table_1184344_1 WHERE name = "Archimedes" | SELECT MAX("l") & "cr_no" FROM "table_1184344_1" WHERE "Archimedes" = "name" | 0.074219 |
CREATE TABLE people (People_ID NUMBER, District CLOB, Name CLOB, Party CLOB, Age NUMBER)
CREATE TABLE debate_people (Debate_ID NUMBER, Affirmative NUMBER, Negative NUMBER, If_Affirmative_Win BOOLEAN)
CREATE TABLE debate (Debate_ID NUMBER, Date CLOB, Venue CLOB, Num_of_Audience NUMBER)
| Show different parties of people along with the number of people in each party with a bar chart, and could you display by the y-axis in ascending? | SELECT Party, COUNT(*) FROM people GROUP BY Party ORDER BY COUNT(*) | SELECT "Party", COUNT(*) FROM "people" GROUP BY "Party" ORDER BY COUNT(*) | 0.071289 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| out of total number of patients who had insert 2 vascular stents, how many of them belonged to black/african american ethnic origin? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.ethnicity = "BLACK/AFRICAN AMERICAN" AND procedures.short_title = "Insert 2 vascular stents" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Insert 2 vascular stents" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "BLACK/AFRICAN AMERICAN" = "demographic"."ethnicity" | 0.250977 |
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
| has ever been less than 128.0 the arterial bp [systolic] of patient 14211 in this month? | SELECT COUNT(*) > 0 FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 14211)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp [systolic]' AND d_items.linksto = 'chartevents') AND chartevents.valuenum < 128.0 AND DATETIME(chartevents.charttime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 14211 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'arterial bp [systolic]' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT COUNT(*) > 0 FROM "chartevents" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE "chartevents"."valuenum" < 128.0 AND DATETIME("chartevents"."charttime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL | 0.80957 |
CREATE TABLE table_32926 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Attendance" FLOAT)
| What team did the Brows play against on October 20, 1963 to a crowd larger than 55,096? | SELECT "Opponent" FROM table_32926 WHERE "Attendance" > '55,096' AND "Date" = 'october 20, 1963' | SELECT "Opponent" FROM "table_32926" WHERE "Attendance" > '55,096' AND "Date" = 'october 20, 1963' | 0.095703 |
CREATE TABLE table_39106 ("Year" FLOAT, "Competition" CLOB, "Venue" CLOB, "Position" CLOB, "Event" CLOB)
| What is the number of years that the event was foil team and took place in Los Angeles? | SELECT COUNT("Year") FROM table_39106 WHERE "Venue" = 'los angeles' AND "Event" = 'foil team' | SELECT COUNT("Year") FROM "table_39106" WHERE "Event" = 'foil team' AND "Venue" = 'los angeles' | 0.092773 |
CREATE TABLE table_41110 ("Position" FLOAT, "Team" CLOB, "Points" FLOAT, "Played" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Against" FLOAT, "Difference" CLOB)
| How many losses does corinthians have when they scored over 22 points? | SELECT COUNT("Lost") FROM table_41110 WHERE "Team" = 'corinthians' AND "Points" > '22' | SELECT COUNT("Lost") FROM "table_41110" WHERE "Points" > '22' AND "Team" = 'corinthians' | 0.085938 |
CREATE TABLE record (ID NUMBER, Result CLOB, Swimmer_ID NUMBER, Event_ID NUMBER)
CREATE TABLE swimmer (ID NUMBER, name CLOB, Nationality CLOB, meter_100 FLOAT, meter_200 CLOB, meter_300 CLOB, meter_400 CLOB, meter_500 CLOB, meter_600 CLOB, meter_700 CLOB, Time CLOB)
CREATE TABLE stadium (ID NUMBER, name CLOB, Capacity NUMBER, City CLOB, Country CLOB, Opening_year NUMBER)
CREATE TABLE event (ID NUMBER, Name CLOB, Stadium_ID NUMBER, Year CLOB)
| Give me the comparison about ID over the meter_500 . | SELECT meter_500, ID FROM swimmer | SELECT "meter_500", "ID" FROM "swimmer" | 0.038086 |
CREATE TABLE table_8502 ("Date" CLOB, "Time" CLOB, "Home" CLOB, "Guest" CLOB, "Result" CLOB)
| What day was the time 14:30, the result 0:1, and the home team fc chiasso (chl)? | SELECT "Date" FROM table_8502 WHERE "Time" = '14:30' AND "Result" = '0:1' AND "Home" = 'fc chiasso (chl)' | SELECT "Date" FROM "table_8502" WHERE "Home" = 'fc chiasso (chl)' AND "Result" = '0:1' AND "Time" = '14:30' | 0.104492 |
CREATE TABLE table_25355501_2 (june_10_11 VARCHAR2, november_3 VARCHAR2)
| june 10-11 when november 3 is 133? | SELECT june_10_11 FROM table_25355501_2 WHERE november_3 = "133" | SELECT "june_10_11" FROM "table_25355501_2" WHERE "133" = "november_3" | 0.068359 |
CREATE TABLE candidate (Candidate_ID NUMBER, People_ID NUMBER, Poll_Source CLOB, Date CLOB, Support_rate FLOAT, Consider_rate FLOAT, Oppose_rate FLOAT, Unsure_rate FLOAT)
CREATE TABLE people (People_ID NUMBER, Sex CLOB, Name CLOB, Date_of_Birth CLOB, Height FLOAT, Weight FLOAT)
| Show me about the distribution of Sex and the amount of Sex , and group by attribute Sex in a bar chart, and sort by the bars from high to low please. | SELECT Sex, COUNT(Sex) FROM people GROUP BY Sex ORDER BY Sex DESC | SELECT "Sex", COUNT("Sex") FROM "people" GROUP BY "Sex" ORDER BY "Sex" DESC | 0.073242 |
CREATE TABLE table_name_67 (bob_dole VARCHAR2, george_hw_bush VARCHAR2, pat_robertson VARCHAR2)
| When George H.W. Bush had 81%, and Pat Robertson had 9%, what did Bob Dole have? | SELECT bob_dole FROM table_name_67 WHERE george_hw_bush = "81%" AND pat_robertson = "9%" | SELECT "bob_dole" FROM "table_name_67" WHERE "81%" = "george_hw_bush" AND "9%" = "pat_robertson" | 0.09375 |
CREATE TABLE table_2383498_4 (qld_cup_premierships VARCHAR2, home_ground VARCHAR2)
| What is every entry in the QLD Cup Premierships when home ground is Dairy Farmers Stadium? | SELECT qld_cup_premierships FROM table_2383498_4 WHERE home_ground = "Dairy Farmers Stadium" | SELECT "qld_cup_premierships" FROM "table_2383498_4" WHERE "Dairy Farmers Stadium" = "home_ground" | 0.095703 |
CREATE TABLE table_75860 ("Date" CLOB, "Time" CLOB, "Home" CLOB, "Away" CLOB, "Score" CLOB, "Ground" CLOB)
| What is the Time with a Ground that is humber college north? | SELECT "Time" FROM table_75860 WHERE "Ground" = 'humber college north' | SELECT "Time" FROM "table_75860" WHERE "Ground" = 'humber college north' | 0.070313 |
CREATE TABLE table_36939 ("Year" CLOB, "Men's singles" CLOB, "Women's singles" CLOB, "Men's doubles" CLOB, "Women's doubles" CLOB, "Mixed doubles" CLOB)
| Which Men's doubles has a Women's doubles of pam brady rosine lemon? | SELECT "Men's doubles" FROM table_36939 WHERE "Women's doubles" = 'pam brady rosine lemon' | SELECT "Men's doubles" FROM "table_36939" WHERE "Women's doubles" = 'pam brady rosine lemon' | 0.089844 |
CREATE TABLE table_203_392 (id NUMBER, "rank" CLOB, "belt alternate 1" CLOB, "belt alternate 2" CLOB, "belt alternate 3" CLOB, "belt alternate 4" CLOB)
| what belt would a practitioner receive next after completing the 10th kyu ? | SELECT "belt alternate 1" FROM table_203_392 WHERE "rank" = '10th kyu' | SELECT "belt alternate 1" FROM "table_203_392" WHERE "rank" = '10th kyu' | 0.070313 |
CREATE TABLE university (School_ID NUMBER, School CLOB, Location CLOB, Founded FLOAT, Affiliation CLOB, Enrollment FLOAT, Nickname CLOB, Primary_conference CLOB)
CREATE TABLE basketball_match (Team_ID NUMBER, School_ID NUMBER, Team_Name CLOB, ACC_Regular_Season CLOB, ACC_Percent CLOB, ACC_Home CLOB, ACC_Road CLOB, All_Games CLOB, All_Games_Percent NUMBER, All_Home CLOB, All_Road CLOB, All_Neutral CLOB)
| Find ACC_Regular_Season and ACC_Percent , and visualize them by a bar chart, and could you order by the y axis from high to low? | SELECT ACC_Regular_Season, ACC_Percent FROM basketball_match ORDER BY ACC_Percent DESC | SELECT "ACC_Regular_Season", "ACC_Percent" FROM "basketball_match" ORDER BY "ACC_Percent" DESC | 0.091797 |
CREATE TABLE table_1342013_9 (first_elected VARCHAR2, incumbent VARCHAR2)
| how many first elected with incumbent being charles edward bennett | SELECT COUNT(first_elected) FROM table_1342013_9 WHERE incumbent = "Charles Edward Bennett" | SELECT COUNT("first_elected") FROM "table_1342013_9" WHERE "Charles Edward Bennett" = "incumbent" | 0.094727 |
CREATE TABLE member (Member_ID NUMBER, Name CLOB, Membership_card CLOB, Age NUMBER, Time_of_purchase NUMBER, Level_of_membership NUMBER, Address CLOB)
CREATE TABLE happy_hour_member (HH_ID NUMBER, Member_ID NUMBER, Total_amount FLOAT)
CREATE TABLE shop (Shop_ID NUMBER, Address CLOB, Num_of_staff CLOB, Score FLOAT, Open_Year CLOB)
CREATE TABLE happy_hour (HH_ID NUMBER, Shop_ID NUMBER, Month CLOB, Num_of_shaff_in_charge NUMBER)
| Bar graph to show the total number from different address, and could you sort in ascending by the y axis? | SELECT Address, COUNT(*) FROM member GROUP BY Address ORDER BY COUNT(*) | SELECT "Address", COUNT(*) FROM "member" GROUP BY "Address" ORDER BY COUNT(*) | 0.075195 |
CREATE TABLE table_14710 ("Name" CLOB, "Line" CLOB, "Location" CLOB, "Closed" CLOB, "Current Status" CLOB)
| What is the line of the station in Toolamba that is currently demolished and closed in the late 1970s? | SELECT "Line" FROM table_14710 WHERE "Current Status" = 'demolished' AND "Closed" = 'late 1970s' AND "Location" = 'toolamba' | SELECT "Line" FROM "table_14710" WHERE "Closed" = 'late 1970s' AND "Current Status" = 'demolished' AND "Location" = 'toolamba' | 0.123047 |
CREATE TABLE table_203_871 (id NUMBER, "#" NUMBER, "player" CLOB, "pos" CLOB, "pts" NUMBER, "tries" NUMBER, "conv" NUMBER, "pens" NUMBER, "drop" NUMBER, "opposition" CLOB, "venue" CLOB, "date" CLOB)
| how many times is fiji listed as the opposition ? | SELECT COUNT(*) FROM table_203_871 WHERE "opposition" = 'fiji' | SELECT COUNT(*) FROM "table_203_871" WHERE "opposition" = 'fiji' | 0.0625 |
CREATE TABLE table_16388398_2 (home_team VARCHAR2, ground VARCHAR2)
| What is the home team that played on M.C.G. grounds? | SELECT home_team FROM table_16388398_2 WHERE ground = "M.C.G." | SELECT "home_team" FROM "table_16388398_2" WHERE "M.C.G." = "ground" | 0.066406 |
CREATE TABLE table_train_176 ("id" NUMBER, "systolic_blood_pressure_sbp" NUMBER, "hemoglobin_a1c_hba1c" FLOAT, "estimated_glomerular_filtration_rate_egfr" NUMBER, "blood_glucose" NUMBER, "hypoglycemia" BOOLEAN, "total_cholesterol" NUMBER, "low_density_lipoprotein_ldl_cholesterol" NUMBER, "triglyceride_tg" FLOAT, "NOUSE" FLOAT)
| total cholesterol < 205 , triglycerides < 250 , or low density lipoprotein ( ldl ) < 130 | SELECT * FROM table_train_176 WHERE total_cholesterol < 205 OR triglyceride_tg < 250 OR low_density_lipoprotein_ldl_cholesterol < 130 | SELECT * FROM "table_train_176" WHERE "low_density_lipoprotein_ldl_cholesterol" < 130 OR "total_cholesterol" < 205 OR "triglyceride_tg" < 250 | 0.137695 |
CREATE TABLE table_204_56 (id NUMBER, "year" NUMBER, "song" CLOB, "us r&b" NUMBER, "us rap" NUMBER, "album" CLOB)
| what song made it to the highest rank on the us rap charts ? | SELECT "song" FROM table_204_56 ORDER BY "us rap" LIMIT 1 | SELECT "song" FROM "table_204_56" ORDER BY "us rap" FETCH FIRST 1 ROWS ONLY | 0.073242 |
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
| Complementary R tags in 2016. | SELECT DATEADD(MONTH, DATEDIFF(MONTH, 0, creationDate), 0) AS creation_month, TagId, COUNT(TagId) AS num_tags FROM PostTags INNER JOIN (SELECT PostId FROM PostTags WHERE TagId = (SELECT Id FROM Tags WHERE TagName = 'r')) AS p ON PostTags.PostId = p.PostId INNER JOIN (SELECT Id, CreationDate FROM Posts INNER JOIN (SELECT PostId FROM PostTags WHERE TagId = (SELECT Id FROM Tags WHERE TagName = 'r')) AS p2 ON Posts.Id = p2.PostId) AS p3 ON PostTags.PostId = p3.Id GROUP BY DATEADD(MONTH, DATEDIFF(MONTH, 0, creationDate), 0), TagId HAVING TagId != (SELECT Id FROM Tags WHERE TagName = 'r') AND DATEADD(MONTH, DATEDIFF(MONTH, 0, creationDate), 0) >= CAST('2016-01-01' AS DATE) ORDER BY num_tags DESC | WITH "p" AS (SELECT "PostId" FROM "PostTags" WHERE "TagId" = (SELECT "Id" FROM "Tags" WHERE "TagName" = 'r')), "p3" AS (SELECT "Id" FROM "Posts" JOIN "p" "p2" ON "Posts"."Id" = "p2"."PostId") SELECT DATEADD("MONTH", DATEDIFF(CAST("MONTH" AS DATETIME), CAST(0 AS DATETIME), CREATIONDATE), 0) AS "creation_month", "TagId", COUNT("TagId") AS "num_tags" FROM "PostTags" JOIN "p" "p" ON "PostTags"."PostId" = "p"."PostId" JOIN "p3" "p3" ON "PostTags"."PostId" = "p3"."Id" GROUP BY DATEADD("MONTH", DATEDIFF(CAST("MONTH" AS DATETIME), CAST(0 AS DATETIME), CREATIONDATE), 0), "TagId" HAVING "TagId" <> (SELECT "Id" FROM "Tags" WHERE "TagName" = 'r') AND CAST(DATEADD("MONTH", DATEDIFF(CAST("MONTH" AS DATETIME), CAST(0 AS DATETIME), CREATIONDATE), 0) AS DATE) >= CAST('2016-01-01' AS DATE) ORDER BY "num_tags" DESC | 0.788086 |
CREATE TABLE table_14407512_9 (points VARCHAR2)
| What is the 1st(m) score for the Person who had a total points of 272.7 | SELECT 1 AS st__m_ FROM table_14407512_9 WHERE points = "272.7" | SELECT 1 AS "st__m_" FROM "table_14407512_9" WHERE "272.7" = "points" | 0.067383 |
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
| what time did patient 017-20711 get his last urine output on last month/15? | SELECT intakeoutput.intakeoutputtime FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '017-20711')) AND intakeoutput.cellpath LIKE '%output%' AND intakeoutput.celllabel = 'urine' AND DATETIME(intakeoutput.intakeoutputtime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') AND STRFTIME('%d', intakeoutput.intakeoutputtime) = '15' ORDER BY intakeoutput.intakeoutputtime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '017-20711' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "intakeoutput"."intakeoutputtime" FROM "intakeoutput" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."celllabel" = 'urine' AND "intakeoutput"."cellpath" LIKE '%output%' AND DATETIME("intakeoutput"."intakeoutputtime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') AND NOT "_u_1"."" IS NULL AND STRFTIME('%d', "intakeoutput"."intakeoutputtime") = '15' ORDER BY "intakeoutput"."intakeoutputtime" DESC FETCH FIRST 1 ROWS ONLY | 0.839844 |
CREATE TABLE table_1153898_1 (ddm_class VARCHAR2, comparisons VARCHAR2)
| Is the drawing tablet support part of the DDM class? | SELECT ddm_class FROM table_1153898_1 WHERE comparisons = "Drawing Tablet Support" | SELECT "ddm_class" FROM "table_1153898_1" WHERE "Drawing Tablet Support" = "comparisons" | 0.085938 |
CREATE TABLE table_77429 ("Date" CLOB, "Round" CLOB, "Opponent" CLOB, "Venue" CLOB, "Result" CLOB, "Attendance" FLOAT, "Scorers" CLOB)
| What is the result with an attendance larger than 10,107 and Celtic as the opponent? | SELECT "Result" FROM table_77429 WHERE "Attendance" > '10,107' AND "Opponent" = 'celtic' | SELECT "Result" FROM "table_77429" WHERE "Attendance" > '10,107' AND "Opponent" = 'celtic' | 0.087891 |
CREATE TABLE Block (BlockFloor NUMBER, BlockCode NUMBER)
CREATE TABLE Trained_In (Physician NUMBER, Treatment NUMBER, CertificationDate DATETIME, CertificationExpires DATETIME)
CREATE TABLE Appointment (AppointmentID NUMBER, Patient NUMBER, PrepNurse NUMBER, Physician NUMBER, Start DATETIME, End DATETIME, ExaminationRoom CLOB)
CREATE TABLE Room (RoomNumber NUMBER, RoomType VARCHAR2, BlockFloor NUMBER, BlockCode NUMBER, Unavailable BOOLEAN)
CREATE TABLE Department (DepartmentID NUMBER, Name VARCHAR2, Head NUMBER)
CREATE TABLE Physician (EmployeeID NUMBER, Name VARCHAR2, Position VARCHAR2, SSN NUMBER)
CREATE TABLE Patient (SSN NUMBER, Name VARCHAR2, Address VARCHAR2, Phone VARCHAR2, InsuranceID NUMBER, PCP NUMBER)
CREATE TABLE Medication (Code NUMBER, Name VARCHAR2, Brand VARCHAR2, Description VARCHAR2)
CREATE TABLE Prescribes (Physician NUMBER, Patient NUMBER, Medication NUMBER, Date DATETIME, Appointment NUMBER, Dose VARCHAR2)
CREATE TABLE Nurse (EmployeeID NUMBER, Name VARCHAR2, Position VARCHAR2, Registered BOOLEAN, SSN NUMBER)
CREATE TABLE Undergoes (Patient NUMBER, Procedures NUMBER, Stay NUMBER, DateUndergoes DATETIME, Physician NUMBER, AssistingNurse NUMBER)
CREATE TABLE Procedures (Code NUMBER, Name VARCHAR2, Cost FLOAT)
CREATE TABLE Affiliated_With (Physician NUMBER, Department NUMBER, PrimaryAffiliation BOOLEAN)
CREATE TABLE Stay (StayID NUMBER, Patient NUMBER, Room NUMBER, StayStart DATETIME, StayEnd DATETIME)
CREATE TABLE On_Call (Nurse NUMBER, BlockFloor NUMBER, BlockCode NUMBER, OnCallStart DATETIME, OnCallEnd DATETIME)
| What are names of patients who made an appointment, and count them by a pie chart | SELECT Name, COUNT(Name) FROM Appointment AS T1 JOIN Patient AS T2 ON T1.Patient = T2.SSN GROUP BY Name | SELECT "Name", COUNT("Name") FROM "Appointment" "T1" JOIN "Patient" "T2" ON "T1"."Patient" = "T2"."SSN" GROUP BY "Name" | 0.116211 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| what is the average age of female patients who have angioedema primary disease? | SELECT AVG(demographic.age) FROM demographic WHERE demographic.gender = "F" AND demographic.diagnosis = "ANGIOEDEMA" | SELECT AVG("demographic"."age") FROM "demographic" WHERE "ANGIOEDEMA" = "demographic"."diagnosis" AND "F" = "demographic"."gender" | 0.126953 |
CREATE TABLE table_53622 ("Year" FLOAT, "Competition Description" CLOB, "Location" CLOB, "Apparatus" CLOB, "Score-Final" FLOAT, "Score-Qualifying" FLOAT)
| Which apparatus had a final score that was more than 17.75? | SELECT "Apparatus" FROM table_53622 WHERE "Score-Final" > '17.75' | SELECT "Apparatus" FROM "table_53622" WHERE "Score-Final" > '17.75' | 0.06543 |
CREATE TABLE table_name_43 (college VARCHAR2, team VARCHAR2)
| The New York Jets picked someone from what college? | SELECT college FROM table_name_43 WHERE team = "new york jets" | SELECT "college" FROM "table_name_43" WHERE "new york jets" = "team" | 0.066406 |
CREATE TABLE table_71134 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
| What is the to par for the score 73-71=144? | SELECT "To par" FROM table_71134 WHERE "Score" = '73-71=144' | SELECT "To par" FROM "table_71134" WHERE "Score" = '73-71=144' | 0.060547 |
CREATE TABLE table_name_51 (team VARCHAR2, win__number VARCHAR2, rating VARCHAR2)
| What is the name of the team that had 1 win and a rating of +85? | SELECT team FROM table_name_51 WHERE win__number = "1" AND rating = "+85" | SELECT "team" FROM "table_name_51" WHERE "+85" = "rating" AND "1" = "win__number" | 0.079102 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| show the language and admission time of subject id 42067. | SELECT demographic.language, demographic.admittime FROM demographic WHERE demographic.subject_id = "42067" | SELECT "demographic"."language", "demographic"."admittime" FROM "demographic" WHERE "42067" = "demographic"."subject_id" | 0.117188 |
CREATE TABLE table_284 ("Stage ( Winner ) " CLOB, "General classification" CLOB, "Mountains classification" CLOB, "Points classification" CLOB, "Combination classification" CLOB, "Team Classification" CLOB)
| WHAT TEAM CLASSIFIED IN THE STAGE WHERE BRADLEY WIGGINS WON THE POINTS CLASSIFICATION ? | SELECT "Team Classification" FROM table_284 WHERE "Points classification" = 'Bradley Wiggins' | SELECT "Team Classification" FROM "table_284" WHERE "Points classification" = 'Bradley Wiggins' | 0.092773 |
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
| what drug was prescribed to patient 30228 in the same hospital visit after the procedure of egd with closed biopsy in 06/2105? | SELECT t2.drug FROM (SELECT admissions.subject_id, procedures_icd.charttime, admissions.hadm_id FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE admissions.subject_id = 30228 AND procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'egd with closed biopsy') AND STRFTIME('%y-%m', procedures_icd.charttime) = '2105-06') 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 admissions.subject_id = 30228 AND STRFTIME('%y-%m', prescriptions.startdate) = '2105-06') AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.startdate AND t1.hadm_id = t2.hadm_id | 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" AND "admissions"."subject_id" = 30228 WHERE STRFTIME('%y-%m', "prescriptions"."startdate") = '2105-06') SELECT "t2"."drug" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'egd with closed biopsy' JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id" AND "admissions"."subject_id" = 30228 JOIN "t2" "t2" ON "admissions"."hadm_id" = "t2"."hadm_id" AND "admissions"."subject_id" = "t2"."subject_id" AND "procedures_icd"."charttime" < "t2"."startdate" WHERE STRFTIME('%y-%m', "procedures_icd"."charttime") = '2105-06' | 0.831055 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| how many patients whose discharge location is left against medical advi and procedure short title is cystoscopy nec? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.discharge_location = "LEFT AGAINST MEDICAL ADVI" AND procedures.short_title = "Cystoscopy NEC" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Cystoscopy NEC" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "LEFT AGAINST MEDICAL ADVI" = "demographic"."discharge_location" | 0.25293 |
CREATE TABLE table_76099 ("Player" CLOB, "Nationality" CLOB, "Position" CLOB, "Years in Orlando" CLOB, "School/Club Team" CLOB)
| Who was the Player that spent the Year 2005 in Orlando? | SELECT "Player" FROM table_76099 WHERE "Years in Orlando" = '2005' | SELECT "Player" FROM "table_76099" WHERE "Years in Orlando" = '2005' | 0.066406 |
CREATE TABLE table_name_48 (round NUMBER, school VARCHAR2, pick VARCHAR2)
| What is the round for Arizona with a pick over 100? | SELECT AVG(round) FROM table_name_48 WHERE school = "arizona" AND pick > 100 | SELECT AVG("round") FROM "table_name_48" WHERE "arizona" = "school" AND "pick" > 100 | 0.082031 |
CREATE TABLE products (product_id NUMBER, product_type_code CLOB, product_name CLOB, product_price NUMBER)
CREATE TABLE customers (customer_id NUMBER, payment_method_code CLOB, customer_code CLOB, customer_name CLOB, customer_address CLOB, customer_phone CLOB, customer_email CLOB)
CREATE TABLE department_store_chain (dept_store_chain_id NUMBER, dept_store_chain_name CLOB)
CREATE TABLE staff (staff_id NUMBER, staff_gender CLOB, staff_name CLOB)
CREATE TABLE addresses (address_id NUMBER, address_details CLOB)
CREATE TABLE supplier_addresses (supplier_id NUMBER, address_id NUMBER, date_from TIME, date_to TIME)
CREATE TABLE customer_addresses (customer_id NUMBER, address_id NUMBER, date_from TIME, date_to TIME)
CREATE TABLE staff_department_assignments (staff_id NUMBER, department_id NUMBER, date_assigned_from TIME, job_title_code CLOB, date_assigned_to TIME)
CREATE TABLE department_stores (dept_store_id NUMBER, dept_store_chain_id NUMBER, store_name CLOB, store_address CLOB, store_phone CLOB, store_email CLOB)
CREATE TABLE departments (department_id NUMBER, dept_store_id NUMBER, department_name CLOB)
CREATE TABLE suppliers (supplier_id NUMBER, supplier_name CLOB, supplier_phone CLOB)
CREATE TABLE product_suppliers (product_id NUMBER, supplier_id NUMBER, date_supplied_from TIME, date_supplied_to TIME, total_amount_purchased CLOB, total_value_purchased NUMBER)
CREATE TABLE customer_orders (order_id NUMBER, customer_id NUMBER, order_status_code CLOB, order_date TIME)
CREATE TABLE order_items (order_item_id NUMBER, order_id NUMBER, product_id NUMBER)
| Return the name and job title of the staff with the latest date assigned. | SELECT T1.staff_name, T2.job_title_code FROM staff AS T1 JOIN staff_department_assignments AS T2 ON T1.staff_id = T2.staff_id ORDER BY T2.date_assigned_to DESC LIMIT 1 | SELECT "T1"."staff_name", "T2"."job_title_code" FROM "staff" "T1" JOIN "staff_department_assignments" "T2" ON "T1"."staff_id" = "T2"."staff_id" ORDER BY "T2"."date_assigned_to" DESC FETCH FIRST 1 ROWS ONLY | 0.200195 |
CREATE TABLE table_204_125 (id NUMBER, "state" CLOB, "type" CLOB, "name" CLOB, "title" CLOB, "royal house" CLOB, "from" CLOB, "to" CLOB)
| which ruler is not king or marquis ? | SELECT "name" FROM table_204_125 WHERE "title" <> 'king' AND "title" <> 'marquis' | SELECT "name" FROM "table_204_125" WHERE "title" <> 'king' AND "title" <> 'marquis' | 0.081055 |
CREATE TABLE table_name_56 (aspect_ratio VARCHAR2, release_date VARCHAR2)
| What is the aspect ratio for the September 1, 2009 release? | SELECT aspect_ratio FROM table_name_56 WHERE release_date = "september 1, 2009" | SELECT "aspect_ratio" FROM "table_name_56" WHERE "release_date" = "september 1, 2009" | 0.083008 |
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
| how many hematological effect of infection - leukocytosis patients since 2104 were diagnosed during the same hospital encounter after being diagnosed with s/p thoracotomy - lung reduction surgery? | SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, diagnosis.diagnosistime, patient.patienthealthsystemstayid FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'hematological effect of infection - leukocytosis' AND STRFTIME('%y', diagnosis.diagnosistime) >= '2104') AS t1 JOIN (SELECT patient.uniquepid, diagnosis.diagnosistime, patient.patienthealthsystemstayid FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 's/p thoracotomy - lung reduction surgery' AND STRFTIME('%y', diagnosis.diagnosistime) >= '2104') AS t2 WHERE t1.diagnosistime < t2.diagnosistime AND t1.patienthealthsystemstayid = t2.patienthealthsystemstayid | WITH "t2" AS (SELECT "diagnosis"."diagnosistime", "patient"."patienthealthsystemstayid" FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" WHERE "diagnosis"."diagnosisname" = 's/p thoracotomy - lung reduction surgery' AND STRFTIME('%y', "diagnosis"."diagnosistime") >= '2104') SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" JOIN "t2" "t2" ON "diagnosis"."diagnosistime" < "t2"."diagnosistime" AND "patient"."patienthealthsystemstayid" = "t2"."patienthealthsystemstayid" WHERE "diagnosis"."diagnosisname" = 'hematological effect of infection - leukocytosis' AND STRFTIME('%y', "diagnosis"."diagnosistime") >= '2104' | 0.741211 |
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
| For all employees who have the letters D or S in their first name, a bar chart shows the distribution of hire_date and the average of manager_id bin hire_date by weekday, rank in descending by the y axis. | SELECT HIRE_DATE, AVG(MANAGER_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY AVG(MANAGER_ID) DESC | SELECT "HIRE_DATE", AVG("MANAGER_ID") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' ORDER BY AVG("MANAGER_ID") DESC | 0.139648 |
CREATE TABLE table_29458735_5 (regiment VARCHAR2, county VARCHAR2)
| which regimen was in the arkansas county | SELECT regiment FROM table_29458735_5 WHERE county = "Arkansas" | SELECT "regiment" FROM "table_29458735_5" WHERE "Arkansas" = "county" | 0.067383 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| provide the number of patients taking drug via td route who have procedure icd9 code 2501. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE procedures.icd9_code = "2501" 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" JOIN "procedures" ON "2501" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" | 0.280273 |
CREATE TABLE table_name_3 (manager VARCHAR2, fund VARCHAR2)
| Who is the manager for FMC Corporation pension fund? | SELECT manager FROM table_name_3 WHERE fund = "fmc corporation pension fund" | SELECT "manager" FROM "table_name_3" WHERE "fmc corporation pension fund" = "fund" | 0.080078 |
CREATE TABLE table_name_38 (home_team VARCHAR2)
| What was Richmond's score as the home team? | SELECT home_team AS score FROM table_name_38 WHERE home_team = "richmond" | SELECT "home_team" AS "score" FROM "table_name_38" WHERE "home_team" = "richmond" | 0.079102 |
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is the cost of a drug known as albumin 5% (25 g)? | SELECT DISTINCT cost.cost FROM cost WHERE cost.event_type = 'prescriptions' AND cost.event_id IN (SELECT prescriptions.row_id FROM prescriptions WHERE prescriptions.drug = 'albumin 5% (25 g)') | WITH "_u_0" AS (SELECT "prescriptions"."row_id" FROM "prescriptions" WHERE "prescriptions"."drug" = 'albumin 5% (25 g)' GROUP BY "row_id") SELECT DISTINCT "cost"."cost" FROM "cost" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "cost"."event_id" WHERE "cost"."event_type" = 'prescriptions' AND NOT "_u_0"."" IS NULL | 0.299805 |
CREATE TABLE cinema (Cinema_ID NUMBER, Name CLOB, Openning_year NUMBER, Capacity NUMBER, Location CLOB)
CREATE TABLE schedule (Cinema_ID NUMBER, Film_ID NUMBER, Date CLOB, Show_times_per_day NUMBER, Price FLOAT)
CREATE TABLE film (Film_ID NUMBER, Rank_in_series NUMBER, Number_in_season NUMBER, Title CLOB, Directed_by CLOB, Original_air_date CLOB, Production_code CLOB)
| For each record in schedule, show average of the price for each day in a bar chart. | SELECT Date, AVG(Price) FROM schedule AS T1 JOIN film AS T2 ON T1.Film_ID = T2.Film_ID JOIN cinema AS T3 ON T1.Cinema_ID = T3.Cinema_ID GROUP BY Date | SELECT "Date", AVG("Price") FROM "schedule" "T1" JOIN "film" "T2" ON "T1"."Film_ID" = "T2"."Film_ID" JOIN "cinema" "T3" ON "T1"."Cinema_ID" = "T3"."Cinema_ID" GROUP BY "Date" | 0.169922 |
CREATE TABLE table_30054758_3 (team VARCHAR2, high_assists VARCHAR2)
| How many teams did inge 6 have the high assists with? | SELECT COUNT(team) FROM table_30054758_3 WHERE high_assists = "Inge – 6" | SELECT COUNT("team") FROM "table_30054758_3" WHERE "Inge – 6" = "high_assists" | 0.076172 |
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
| is patient 5828 had normal arterial bp [systolic] in yesterday? | SELECT COUNT(*) > 0 FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 5828)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp [systolic]' AND d_items.linksto = 'chartevents') AND chartevents.valuenum BETWEEN systolic_bp_lower AND systolic_bp_upper AND DATETIME(chartevents.charttime, 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-1 day') | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 5828 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'arterial bp [systolic]' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT COUNT(*) > 0 FROM "chartevents" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE "chartevents"."valuenum" <= "systolic_bp_upper" AND "chartevents"."valuenum" >= "systolic_bp_lower" AND DATETIME("chartevents"."charttime", 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-1 day') AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL | 0.868164 |
CREATE TABLE table_27279050_1 (poles VARCHAR2, points VARCHAR2, nation VARCHAR2)
| How many pole position achieved 0 points from Mexico? | SELECT COUNT(poles) FROM table_27279050_1 WHERE points = "0" AND nation = "Mexico" | SELECT COUNT("poles") FROM "table_27279050_1" WHERE "0" = "points" AND "Mexico" = "nation" | 0.087891 |
CREATE TABLE performance (songid NUMBER, bandmate NUMBER, stageposition CLOB)
CREATE TABLE songs (songid NUMBER, title CLOB)
CREATE TABLE band (id NUMBER, firstname CLOB, lastname CLOB)
CREATE TABLE vocals (songid NUMBER, bandmate NUMBER, type CLOB)
CREATE TABLE tracklists (albumid NUMBER, position NUMBER, songid NUMBER)
CREATE TABLE albums (aid NUMBER, title CLOB, year NUMBER, label CLOB, type CLOB)
CREATE TABLE instruments (songid NUMBER, bandmateid NUMBER, instrument CLOB)
| What are the names of the songs that do not have back vocals? | SELECT DISTINCT title FROM vocals AS t1 JOIN songs AS t2 ON t1.songid = t2.songid EXCEPT SELECT t2.title FROM vocals AS t1 JOIN songs AS t2 ON t1.songid = t2.songid WHERE type = "back" | SELECT DISTINCT "title" FROM "vocals" "t1" JOIN "songs" "t2" ON "t1"."songid" = "t2"."songid" EXCEPT SELECT "t2"."title" FROM "vocals" "t1" JOIN "songs" "t2" ON "t1"."songid" = "t2"."songid" WHERE "back" = "type" | 0.207031 |
CREATE TABLE table_name_53 (january VARCHAR2, april VARCHAR2)
| Name the january when april is courtney rachel culkin | SELECT january FROM table_name_53 WHERE april = "courtney rachel culkin" | SELECT "january" FROM "table_name_53" WHERE "april" = "courtney rachel culkin" | 0.076172 |
CREATE TABLE race (Race_ID NUMBER, Name CLOB, Class CLOB, Date CLOB, Track_ID CLOB)
CREATE TABLE track (Track_ID NUMBER, Name CLOB, Location CLOB, Seating FLOAT, Year_Opened FLOAT)
| Return a histogram on what are the names of different tracks, and how many races has each had?, and could you display by the y-axis in descending? | SELECT T2.Name, COUNT(*) FROM race AS T1 JOIN track AS T2 ON T1.Track_ID = T2.Track_ID GROUP BY T1.Track_ID ORDER BY COUNT(*) DESC | SELECT "T2"."Name", COUNT(*) FROM "race" "T1" JOIN "track" "T2" ON "T1"."Track_ID" = "T2"."Track_ID" GROUP BY "T1"."Track_ID" ORDER BY COUNT(*) DESC | 0.144531 |
CREATE TABLE table_9304 ("Date" CLOB, "Opponent" CLOB, "Venue" CLOB, "Result" CLOB, "Attendance" FLOAT)
| What is Attendance, when Result is '2-4'? | SELECT "Attendance" FROM table_9304 WHERE "Result" = '2-4' | SELECT "Attendance" FROM "table_9304" WHERE "Result" = '2-4' | 0.058594 |
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
| what is the average value of -polys in patient 008-30575's body in 12/last year? | SELECT AVG(lab.labresult) FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '008-30575')) AND lab.labname = '-polys' AND DATETIME(lab.labresulttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m', lab.labresulttime) = '12' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '008-30575' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT AVG("lab"."labresult") FROM "lab" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = '-polys' AND DATETIME("lab"."labresulttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_1"."" IS NULL AND STRFTIME('%m', "lab"."labresulttime") = '12' | 0.660156 |
CREATE TABLE gas_station (Station_ID NUMBER, Open_Year NUMBER, Location CLOB, Manager_Name CLOB, Vice_Manager_Name CLOB, Representative_Name CLOB)
CREATE TABLE company (Company_ID NUMBER, Rank NUMBER, Company CLOB, Headquarters CLOB, Main_Industry CLOB, Sales_billion FLOAT, Profits_billion FLOAT, Assets_billion FLOAT, Market_Value FLOAT)
CREATE TABLE station_company (Station_ID NUMBER, Company_ID NUMBER, Rank_of_the_Year NUMBER)
| Show the number of companies whose headquarters are not from USA fpr each main industry in a bar chart. | SELECT Main_Industry, COUNT(Main_Industry) FROM company WHERE Headquarters <> 'USA' GROUP BY Main_Industry | SELECT "Main_Industry", COUNT("Main_Industry") FROM "company" WHERE "Headquarters" <> 'USA' GROUP BY "Main_Industry" | 0.113281 |
CREATE TABLE table_29803 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "Production code" FLOAT, "U.S. viewers ( millions ) " CLOB)
| What date did 'the one with all the resolutions' originally air? | SELECT "Original air date" FROM table_29803 WHERE "Title" = 'The One with All the Resolutions' | SELECT "Original air date" FROM "table_29803" WHERE "Title" = 'The One with All the Resolutions' | 0.09375 |
CREATE TABLE table_8512 ("Rank" FLOAT, "Team" CLOB, "Round1" FLOAT, "Round2" FLOAT, "Round3" FLOAT, "Round4" FLOAT, "Round5" FLOAT, "Total Points" FLOAT)
| what is round1 when round3 is less than 51, total points is less than 273, round2 is less than 98 and round5 is less than 24? | SELECT AVG("Round1") FROM table_8512 WHERE "Round3" < '51' AND "Total Points" < '273' AND "Round2" < '98' AND "Round5" < '24' | SELECT AVG("Round1") FROM "table_8512" WHERE "Round2" < '98' AND "Round3" < '51' AND "Round5" < '24' AND "Total Points" < '273' | 0.124023 |
CREATE TABLE table_name_85 (byes NUMBER, wins VARCHAR2, against VARCHAR2)
| What's the number of byes for someone who had 7 wins and an against number greater than 1412? | SELECT SUM(byes) FROM table_name_85 WHERE wins = 7 AND against > 1412 | SELECT SUM("byes") FROM "table_name_85" WHERE "against" > 1412 AND "wins" = 7 | 0.075195 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| how many patient used the drug code diaz5? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.formulary_drug_cd = "DIAZ5" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "DIAZ5" = "prescriptions"."formulary_drug_cd" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.189453 |
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