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CREATE TABLE table_name_13 (away_team VARCHAR, venue VARCHAR)
| What team played away at vfl park? | SELECT away_team FROM table_name_13 WHERE venue = "vfl park" | SELECT "away_team" FROM "table_name_13" WHERE "venue" = "vfl park" | 0.064453 |
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
| what is the maximum cost to the hospital which involves comp-oth vasc dev/graft in this year. | SELECT MAX(t1.c1) FROM (SELECT SUM(cost.cost) AS c1 FROM cost WHERE cost.hadm_id IN (SELECT diagnoses_icd.hadm_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 = 'comp-oth vasc dev/graft')) AND DATETIME(cost.chargetime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') GROUP BY cost.hadm_id) AS t1 | WITH "_u_1" AS (SELECT "diagnoses_icd"."hadm_id" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'comp-oth vasc dev/graft' GROUP BY "hadm_id"), "t1" AS (SELECT SUM("cost"."cost") AS "c1" FROM "cost" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "cost"."hadm_id" WHERE DATETIME("cost"."chargetime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "_u_1"."" IS NULL GROUP BY "cost"."hadm_id") SELECT MAX("t1"."c1") FROM "t1" AS "t1" | 0.541992 |
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
| calculate the number of patients who have had a sodium, stool test in the previous year. | SELECT COUNT(DISTINCT admissions.subject_id) FROM admissions WHERE admissions.hadm_id IN (SELECT labevents.hadm_id FROM labevents WHERE labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'sodium, stool') AND DATETIME(labevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) | WITH "_u_0" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'sodium, stool' GROUP BY "itemid"), "_u_1" AS (SELECT "labevents"."hadm_id" FROM "labevents" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "labevents"."itemid" WHERE DATETIME("labevents"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_0"."" IS NULL GROUP BY "hadm_id") SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "admissions" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "admissions"."hadm_id" WHERE NOT "_u_1"."" IS NULL | 0.551758 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| provide the number of patients whose procedure long title is non-invasive mechanical ventilation and lab test fluid is blood? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE procedures.long_title = "Non-invasive mechanical ventilation" AND lab.fluid = "Blood" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Blood" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" JOIN "procedures" ON "Non-invasive mechanical ventilation" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" | 0.285156 |
CREATE TABLE table_name_36 (spanish_voice_actor VARCHAR, french_voice_actor VARCHAR)
| Which Spanish voice actor does the same character as French voice actor V ronique Desmadryl? | SELECT spanish_voice_actor FROM table_name_36 WHERE french_voice_actor = "véronique desmadryl" | SELECT "spanish_voice_actor" FROM "table_name_36" WHERE "french_voice_actor" = "véronique desmadryl" | 0.097656 |
CREATE TABLE table_name_26 (gold VARCHAR, silver VARCHAR, rank VARCHAR, total VARCHAR)
| How many golds for nations ranked below 4, over 5 medals, and under 6 silvers? | SELECT COUNT(gold) FROM table_name_26 WHERE rank > 4 AND total > 5 AND silver < 6 | SELECT COUNT("gold") FROM "table_name_26" WHERE "rank" > 4 AND "silver" < 6 AND "total" > 5 | 0.088867 |
CREATE TABLE table_22028 ("Home ( 1st leg ) " TEXT, "Home ( 2nd leg ) " TEXT, "1st Leg" TEXT, "2nd leg" TEXT, "Aggregate" TEXT)
| What is the aggregate when the second leg is 1-3? | SELECT "Aggregate" FROM table_22028 WHERE "2nd leg" = '1-3' | SELECT "Aggregate" FROM "table_22028" WHERE "2nd leg" = '1-3' | 0.05957 |
CREATE TABLE organization (continent VARCHAR, homepage VARCHAR, name VARCHAR, oid INT)
CREATE TABLE journal (homepage VARCHAR, jid INT, name VARCHAR)
CREATE TABLE conference (cid INT, homepage VARCHAR, name VARCHAR)
CREATE TABLE cite (cited INT, citing INT)
CREATE TABLE publication_keyword (kid INT, pid INT)
CREATE TABLE domain (did INT, name VARCHAR)
CREATE TABLE domain_keyword (did INT, kid INT)
CREATE TABLE domain_publication (did INT, pid INT)
CREATE TABLE domain_conference (cid INT, did INT)
CREATE TABLE writes (aid INT, pid INT)
CREATE TABLE domain_author (aid INT, did INT)
CREATE TABLE domain_journal (did INT, jid INT)
CREATE TABLE publication (abstract VARCHAR, cid INT, citation_num INT, jid INT, pid INT, reference_num INT, title VARCHAR, year INT)
CREATE TABLE author (aid INT, homepage VARCHAR, name VARCHAR, oid INT)
CREATE TABLE keyword (keyword VARCHAR, kid INT)
| return me the number of papers in ' University of Michigan ' . | SELECT COUNT(DISTINCT (publication.title)) FROM author, organization, publication, writes WHERE organization.name = 'University of Michigan' AND organization.oid = author.oid AND writes.aid = author.aid AND writes.pid = publication.pid | SELECT COUNT(DISTINCT "publication"."title") FROM "author" JOIN "organization" ON "author"."oid" = "organization"."oid" AND "organization"."name" = 'University of Michigan' JOIN "writes" ON "author"."aid" = "writes"."aid" JOIN "publication" ON "publication"."pid" = "writes"."pid" | 0.273438 |
CREATE TABLE table_name_97 (week INT, date VARCHAR)
| What is the lowest week number that had a game on December 3, 1967? | SELECT MIN(week) FROM table_name_97 WHERE date = "december 3, 1967" | SELECT MIN("week") FROM "table_name_97" WHERE "date" = "december 3, 1967" | 0.071289 |
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
| what is the cheapest COACH fare from DALLAS to DENVER round trip | SELECT DISTINCT fare.fare_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, fare_basis, flight, flight_fare WHERE (CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DALLAS' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DENVER' AND fare_basis.class_type = 'COACH' AND fare.fare_basis_code = fare_basis.fare_basis_code AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND fare.round_trip_cost = (SELECT MIN(FAREalias1.round_trip_cost) FROM airport_service AS AIRPORT_SERVICEalias2, airport_service AS AIRPORT_SERVICEalias3, city AS CITYalias2, city AS CITYalias3, fare AS FAREalias1, fare_basis AS FARE_BASISalias1, flight AS FLIGHTalias1, flight_fare AS FLIGHT_FAREalias1 WHERE CITYalias2.city_code = AIRPORT_SERVICEalias2.city_code AND CITYalias2.city_name = 'DALLAS' AND CITYalias3.city_code = AIRPORT_SERVICEalias3.city_code AND CITYalias3.city_name = 'DENVER' AND FARE_BASISalias1.class_type = 'COACH' AND FAREalias1.fare_basis_code = FARE_BASISalias1.fare_basis_code AND FLIGHT_FAREalias1.fare_id = FAREalias1.fare_id AND FLIGHTalias1.flight_id = FLIGHT_FAREalias1.flight_id AND FLIGHTalias1.from_airport = AIRPORT_SERVICEalias2.airport_code AND FLIGHTalias1.to_airport = AIRPORT_SERVICEalias3.airport_code) | WITH "_u_0" AS (SELECT MIN("FAREalias1"."round_trip_cost") FROM "airport_service" AS "AIRPORT_SERVICEalias2" JOIN "city" AS "CITYalias2" ON "AIRPORT_SERVICEalias2"."city_code" = "CITYalias2"."city_code" AND "CITYalias2"."city_name" = 'DALLAS' JOIN "flight" AS "FLIGHTalias1" ON "AIRPORT_SERVICEalias2"."airport_code" = "FLIGHTalias1"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICEalias3" ON "AIRPORT_SERVICEalias3"."airport_code" = "FLIGHTalias1"."to_airport" JOIN "flight_fare" AS "FLIGHT_FAREalias1" ON "FLIGHT_FAREalias1"."flight_id" = "FLIGHTalias1"."flight_id" JOIN "city" AS "CITYalias3" ON "AIRPORT_SERVICEalias3"."city_code" = "CITYalias3"."city_code" AND "CITYalias3"."city_name" = 'DENVER' JOIN "fare" AS "FAREalias1" ON "FAREalias1"."fare_id" = "FLIGHT_FAREalias1"."fare_id" JOIN "fare_basis" AS "FARE_BASISalias1" ON "FARE_BASISalias1"."class_type" = 'COACH' AND "FARE_BASISalias1"."fare_basis_code" = "FAREalias1"."fare_basis_code") SELECT DISTINCT "fare"."fare_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'DALLAS' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'DENVER' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "fare"."round_trip_cost" JOIN "fare_basis" ON "fare"."fare_basis_code" = "fare_basis"."fare_basis_code" AND "fare_basis"."class_type" = 'COACH' | 1.725586 |
CREATE TABLE table_name_30 (top_5 INT, wins INT)
| What is the lowest top 5 winners with less than 0? | SELECT MIN(top_5) FROM table_name_30 WHERE wins < 0 | SELECT MIN("top_5") FROM "table_name_30" WHERE "wins" < 0 | 0.055664 |
CREATE TABLE table_35473 ("Week" FLOAT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Game site" TEXT, "Attendance" FLOAT)
| on week 16, what was the lowest attendance? | SELECT MIN("Attendance") FROM table_35473 WHERE "Week" = '16' | SELECT MIN("Attendance") FROM "table_35473" WHERE "Week" = '16' | 0.061523 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| out of total number of patients admitted to emergency, how many of them had icd9 code 3512? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND procedures.icd9_code = "3512" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "3512" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "EMERGENCY" = "demographic"."admission_type" | 0.22168 |
CREATE TABLE table_22041 ("Home ( 1st leg ) " TEXT, "Home ( 2nd leg ) " TEXT, "1st Leg" TEXT, "2nd leg" TEXT, "Aggregate" TEXT)
| If the aggregate is 3-4, what is the first leg? | SELECT "Home (1st leg)" FROM table_22041 WHERE "Aggregate" = '3-4' | SELECT "Home (1st leg)" FROM "table_22041" WHERE "Aggregate" = '3-4' | 0.066406 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| what number of patients with abdominal abscess had drug type as main? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.diagnosis = "ABDOMINAL ABSCESS" AND prescriptions.drug_type = "MAIN" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "MAIN" = "prescriptions"."drug_type" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "ABDOMINAL ABSCESS" = "demographic"."diagnosis" | 0.233398 |
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
| how many days has passed since patient 006-76924 stayed for the first time in ward 384 on this hospital visit? | SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', patient.unitadmittime)) FROM patient WHERE patient.uniquepid = '006-76924' AND patient.wardid = 384 AND patient.hospitaldischargetime IS NULL ORDER BY patient.unitadmittime LIMIT 1 | SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "patient"."unitadmittime")) FROM "patient" WHERE "patient"."hospitaldischargetime" IS NULL AND "patient"."uniquepid" = '006-76924' AND "patient"."wardid" = 384 ORDER BY "patient"."unitadmittime" NULLS FIRST LIMIT 1 | 0.267578 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| how many patients whose diagnoses short title is thrombocytopenia nos and lab test abnormal status is abnormal? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.short_title = "Thrombocytopenia NOS" AND lab.flag = "abnormal" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Thrombocytopenia NOS" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "abnormal" = "lab"."flag" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.270508 |
CREATE TABLE table_6463 ("District" TEXT, "2010 Population ( 000 ) " FLOAT, "2008 GDP ( USD bn ) a" FLOAT, "2008 GDP per capita ( USD ) a" FLOAT, "Agri culture b" FLOAT, "Mining b" FLOAT, "Manufac turing b" FLOAT, "Services & cons truction b" FLOAT, "Exports ( USD mn ) 2011" TEXT, "Median mo. salary ( USD ) a e" FLOAT, "Vehicles ( per 1000 ) d" FLOAT, "Income poverty f" FLOAT, "Structural poverty g" FLOAT)
| Income poverty f smaller than 13.6, and a Mining b of 1, and a Structural poverty g smaller than 7.8, so what is the total number of agriculture? | SELECT COUNT("Agri culture b") FROM table_6463 WHERE "Income poverty f" < '13.6' AND "Mining b" = '1' AND "Structural poverty g" < '7.8' | SELECT COUNT("Agri culture b") FROM "table_6463" WHERE "Income poverty f" < '13.6' AND "Mining b" = '1' AND "Structural poverty g" < '7.8' | 0.134766 |
CREATE TABLE Participants_in_Events (Event_ID INT, Participant_ID INT)
CREATE TABLE Services (Service_ID INT, Service_Type_Code CHAR)
CREATE TABLE Participants (Participant_ID INT, Participant_Type_Code CHAR, Participant_Details VARCHAR)
CREATE TABLE Events (Event_ID INT, Service_ID INT, Event_Details VARCHAR)
| Compare how many events by different event details using a bar chart, and list by the Y-axis in desc. | SELECT Event_Details, COUNT(Event_Details) FROM Events GROUP BY Event_Details ORDER BY COUNT(Event_Details) DESC | SELECT "Event_Details", COUNT("Event_Details") FROM "Events" GROUP BY "Event_Details" ORDER BY COUNT("Event_Details") DESC NULLS LAST | 0.129883 |
CREATE TABLE table_58948 ("Binary" FLOAT, "Octal" FLOAT, "Decimal" FLOAT, "Hexadecimal" FLOAT, "Glyph" FLOAT)
| What is the average hexadecimal with a decimal greater than 57? | SELECT AVG("Hexadecimal") FROM table_58948 WHERE "Decimal" > '57' | SELECT AVG("Hexadecimal") FROM "table_58948" WHERE "Decimal" > '57' | 0.06543 |
CREATE TABLE table_31051 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT, "Production code" TEXT)
| What season number is the episode 'The Gang Cracks The Liberty Bell'? | SELECT MIN("No. in season") FROM table_31051 WHERE "Title" = 'The Gang Cracks the Liberty Bell' | SELECT MIN("No. in season") FROM "table_31051" WHERE "Title" = 'The Gang Cracks the Liberty Bell' | 0.094727 |
CREATE TABLE table_name_45 (losses INT, goal_difference INT)
| What is the losses when the goal difference is larger than 26? | SELECT MAX(losses) FROM table_name_45 WHERE goal_difference > 26 | SELECT MAX("losses") FROM "table_name_45" WHERE "goal_difference" > 26 | 0.068359 |
CREATE TABLE table_train_24 ("id" INT, "systolic_blood_pressure_sbp" INT, "do_not_resuscitate_dnr" BOOLEAN, "temperature" FLOAT, "hypotension" BOOLEAN, "cardiac_arrest" BOOLEAN, "age" FLOAT, "NOUSE" FLOAT)
| post cardiac arrest | SELECT * FROM table_train_24 WHERE cardiac_arrest = 1 | SELECT * FROM "table_train_24" WHERE "cardiac_arrest" = 1 | 0.055664 |
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
| My Close Votes for Tag X. | SELECT p.Id AS "post_link", c.CreationDate, Tags FROM Comments AS c JOIN Posts AS p ON c.PostId = p.Id WHERE c.Text LIKE '%voting to close%' AND (Tags LIKE '%<email>%' OR Tags LIKE '%<spam>%') AND c.UserId = '##UserId##' | SELECT "p"."Id" AS "post_link", "c"."CreationDate", "Tags" FROM "Comments" AS "c" JOIN "Posts" AS "p" ON "c"."PostId" = "p"."Id" WHERE ("Tags" LIKE '%<email>%' OR "Tags" LIKE '%<spam>%') AND "c"."Text" LIKE '%voting to close%' AND "c"."UserId" = '##UserId##' | 0.251953 |
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
| Which upper level classes do not require 519 as a prerequisite ? | SELECT DISTINCT COURSE_0.department, COURSE_0.name, COURSE_0.number FROM course AS COURSE_0, course AS COURSE_1, course_prerequisite, program_course WHERE NOT COURSE_1.course_id IN (SELECT course_prerequisite.pre_course_id FROM course AS COURSE_0, course_prerequisite WHERE COURSE_0.course_id = course_prerequisite.course_id) AND COURSE_1.department = 'department0' AND COURSE_1.number = 519 AND PROGRAM_COURSE_0.category LIKE '%ULCS%' AND PROGRAM_COURSE_0.course_id = COURSE_0.course_id | WITH "_u_0" AS (SELECT "course_prerequisite"."pre_course_id" FROM "course" AS "COURSE_0" JOIN "course_prerequisite" ON "COURSE_0"."course_id" = "course_prerequisite"."course_id" GROUP BY "pre_course_id") SELECT DISTINCT "COURSE_0"."department", "COURSE_0"."name", "COURSE_0"."number" FROM "course" AS "COURSE_0" JOIN "course" AS "COURSE_1" ON "COURSE_1"."department" = 'department0' AND "COURSE_1"."number" = 519 CROSS JOIN "course_prerequisite" CROSS JOIN "program_course" LEFT JOIN "_u_0" AS "_u_0" ON "COURSE_1"."course_id" = "_u_0"."" WHERE "COURSE_0"."course_id" = "PROGRAM_COURSE_0"."course_id" AND "PROGRAM_COURSE_0"."category" LIKE '%ULCS%' AND "_u_0"."" IS NULL | 0.654297 |
CREATE TABLE table_1399994_5 (location VARCHAR, opponents VARCHAR)
| How many locations hosted Claudia Kohde-Kilsch Eva Pfaff? | SELECT COUNT(location) FROM table_1399994_5 WHERE opponents = "Claudia Kohde-Kilsch Eva Pfaff" | SELECT COUNT("location") FROM "table_1399994_5" WHERE "Claudia Kohde-Kilsch Eva Pfaff" = "opponents" | 0.097656 |
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
| count the numbers of patients who died after having been diagnosed with septic shock during the same month since 4 years ago. | SELECT COUNT(DISTINCT t2.uniquepid) FROM (SELECT t1.uniquepid, t1.diagnosistime FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'septic shock') AS t1 GROUP BY t1.uniquepid HAVING MIN(t1.diagnosistime) = t1.diagnosistime AND DATETIME(t1.diagnosistime) >= DATETIME(CURRENT_TIME(), '-4 year')) AS t2 JOIN (SELECT patient.uniquepid, patient.patienthealthsystemstayid, patient.hospitaldischargetime FROM patient WHERE patient.hospitaldischargestatus = 'expired') AS t3 ON t2.uniquepid = t3.uniquepid WHERE DATETIME(t2.diagnosistime, 'start of month') = DATETIME(t3.hospitaldischargetime, 'start of month') | WITH "t2" AS (SELECT "patient"."uniquepid", "diagnosis"."diagnosistime" FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" WHERE "diagnosis"."diagnosisname" = 'septic shock' GROUP BY "patient"."uniquepid" HAVING "diagnosis"."diagnosistime" = MIN("diagnosis"."diagnosistime") AND DATETIME("diagnosis"."diagnosistime") >= DATETIME(CURRENT_TIME(), '-4 year')) SELECT COUNT(DISTINCT "t2"."uniquepid") FROM "t2" AS "t2" JOIN "patient" ON "patient"."hospitaldischargestatus" = 'expired' AND "patient"."uniquepid" = "t2"."uniquepid" AND DATETIME("patient"."hospitaldischargetime", 'start of month') = DATETIME("t2"."diagnosistime", 'start of month') | 0.673828 |
CREATE TABLE table_16099880_5 (pole_position VARCHAR, race VARCHAR)
| Who was on the pole at Chicagoland? | SELECT pole_position FROM table_16099880_5 WHERE race = "Chicagoland" | SELECT "pole_position" FROM "table_16099880_5" WHERE "Chicagoland" = "race" | 0.073242 |
CREATE TABLE Flight (aid VARCHAR)
CREATE TABLE Aircraft (name VARCHAR, aid VARCHAR)
| Show aircraft names and number of flights for each aircraft. | SELECT T2.name, COUNT(*) FROM Flight AS T1 JOIN Aircraft AS T2 ON T1.aid = T2.aid GROUP BY T1.aid | SELECT "T2"."name", COUNT(*) FROM "Flight" AS "T1" JOIN "Aircraft" AS "T2" ON "T1"."aid" = "T2"."aid" GROUP BY "T1"."aid" | 0.118164 |
CREATE TABLE table_name_64 (attendance INT, week VARCHAR)
| What was the highest attendance week 12? | SELECT MAX(attendance) FROM table_name_64 WHERE week = 12 | SELECT MAX("attendance") FROM "table_name_64" WHERE "week" = 12 | 0.061523 |
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
| For those records from the products and each product's manufacturer, give me the comparison about price over the name , and group by attribute headquarter by a bar chart. | SELECT T1.Name, T1.Price FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Headquarter, T1.Name | SELECT "T1"."Name", "T1"."Price" FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Headquarter", "T1"."Name" | 0.154297 |
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
| Number of users who were last seen in a given month (only users with 10 or more posts). | WITH counts_cte AS (SELECT OwnerUserId AS uid, COUNT(Id) AS num FROM Posts GROUP BY OwnerUserId) SELECT LAST_DATE_OF_MONTH(LastAccessDate), COUNT(u.Id) FROM Users AS u JOIN counts_cte AS c ON u.Id = c.uid WHERE c.num >= '##min?10##' GROUP BY LAST_DATE_OF_MONTH(LastAccessDate) ORDER BY LAST_DATE_OF_MONTH(LastAccessDate) | WITH "counts_cte" AS (SELECT "OwnerUserId" AS "uid", COUNT("Id") AS "num" FROM "Posts" GROUP BY "OwnerUserId") SELECT LAST_DATE_OF_MONTH("LastAccessDate"), COUNT("u"."Id") FROM "Users" AS "u" JOIN "counts_cte" AS "c" ON "c"."num" >= '##min?10##' AND "c"."uid" = "u"."Id" GROUP BY LAST_DATE_OF_MONTH("LastAccessDate") ORDER BY LAST_DATE_OF_MONTH("LastAccessDate") NULLS FIRST | 0.365234 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
| count the number of patients whose primary disease is coronary artery disease\coronary artery bypass graft with mvr; ? maze and days of hospital stay is greater than 16? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "CORONARY ARTERY DISEASE\CORONARY ARTERY BYPASS GRAFT WITH MVR; ? MAZE" AND demographic.days_stay > "16" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "16" < "demographic"."days_stay" AND "CORONARY ARTERY DISEASE\CORONARY ARTERY BYPASS GRAFT WITH MVR; ? MAZE" = "demographic"."diagnosis" | 0.206055 |
CREATE TABLE table_7602 ("Publication" TEXT, "Country" TEXT, "Accolade" TEXT, "Year" FLOAT, "Rank" FLOAT)
| What is Accolade, when Year is less than 2009, and when Country is Germany? | SELECT "Accolade" FROM table_7602 WHERE "Year" < '2009' AND "Country" = 'germany' | SELECT "Accolade" FROM "table_7602" WHERE "Country" = 'germany' AND "Year" < '2009' | 0.081055 |
CREATE TABLE table_24190 ("Season" FLOAT, "Season premiere" TEXT, "Season finale" TEXT, "TV Season" TEXT, "Rank" TEXT, "Viewers ( in millions ) " TEXT)
| Name the rank that premiered september 25, 2001 | SELECT "Rank" FROM table_24190 WHERE "Season premiere" = 'September 25, 2001' | SELECT "Rank" FROM "table_24190" WHERE "Season premiere" = 'September 25, 2001' | 0.077148 |
CREATE TABLE table_name_5 (date__opening_ VARCHAR, year VARCHAR, date__closing_ VARCHAR)
| What is Date (Opening), when Year is less than 2010, and when Date (Closing) is 'September 28'? | SELECT date__opening_ FROM table_name_5 WHERE year < 2010 AND date__closing_ = "september 28" | SELECT "date__opening_" FROM "table_name_5" WHERE "date__closing_" = "september 28" AND "year" < 2010 | 0.098633 |
CREATE TABLE table_name_89 (winning_score VARCHAR, date VARCHAR)
| What was the winning score on Aug 28, 1983? | SELECT winning_score FROM table_name_89 WHERE date = "aug 28, 1983" | SELECT "winning_score" FROM "table_name_89" WHERE "aug 28, 1983" = "date" | 0.071289 |
CREATE TABLE table_68255 ("Player" TEXT, "Country" TEXT, "Year ( s ) won" TEXT, "Total" FLOAT, "To par" TEXT, "Finish" TEXT)
| Name the average total for years won of 1975 | SELECT AVG("Total") FROM table_68255 WHERE "Year(s) won" = '1975' | SELECT AVG("Total") FROM "table_68255" WHERE "Year(s) won" = '1975' | 0.06543 |
CREATE TABLE table_77882 ("Race" TEXT, "Circuit" TEXT, "Date" TEXT, "Pole position" TEXT, "Fastest lap" TEXT, "Winning driver" TEXT, "Constructor" TEXT, "Tyre" TEXT, "Report" TEXT)
| What day did Emerson Fittipaldi win the Spanish Grand Prix? | SELECT "Date" FROM table_77882 WHERE "Winning driver" = 'emerson fittipaldi' AND "Race" = 'spanish grand prix' | SELECT "Date" FROM "table_77882" WHERE "Race" = 'spanish grand prix' AND "Winning driver" = 'emerson fittipaldi' | 0.109375 |
CREATE TABLE table_77864 ("Year" TEXT, "Men's singles" TEXT, "Women's singles" TEXT, "Men's doubles" TEXT, "Women's doubles" TEXT, "Mixed doubles" TEXT)
| Who were the men's doubles champions when the men's singles champion was muljadi? | SELECT "Men's doubles" FROM table_77864 WHERE "Men's singles" = 'muljadi' | SELECT "Men's doubles" FROM "table_77864" WHERE "Men's singles" = 'muljadi' | 0.073242 |
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
| For those employees who do not work in departments with managers that have ids between 100 and 200, find last_name and commission_pct , and visualize them by a bar chart, and sort y axis from high to low order. | SELECT LAST_NAME, COMMISSION_PCT FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY COMMISSION_PCT DESC | SELECT "LAST_NAME", "COMMISSION_PCT" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY "COMMISSION_PCT" DESC NULLS LAST | 0.212891 |
CREATE TABLE table_55911 ("Date" TEXT, "Name" TEXT, "Flag" TEXT, "Tonnage ( GRT ) " FLOAT, "Sunk by" TEXT)
| What is the date for Zouave? | SELECT "Date" FROM table_55911 WHERE "Name" = 'zouave' | SELECT "Date" FROM "table_55911" WHERE "Name" = 'zouave' | 0.054688 |
CREATE TABLE table_33428 ("State" TEXT, "Born/Died" TEXT, "Active service" TEXT, "Chief Judge" TEXT, "Senior status" TEXT, "Appointed by" TEXT, "Reason for termination" TEXT)
| What were the birth and death years when active service was 1972 1995? | SELECT "Born/Died" FROM table_33428 WHERE "Active service" = '1972–1995' | SELECT "Born/Died" FROM "table_33428" WHERE "Active service" = '1972–1995' | 0.072266 |
CREATE TABLE table_name_99 (attendance INT, date VARCHAR)
| What is the total audience on may 28? | SELECT SUM(attendance) FROM table_name_99 WHERE date = "may 28" | SELECT SUM("attendance") FROM "table_name_99" WHERE "date" = "may 28" | 0.067383 |
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
| tell me whether patient 004-66442 got 30 ml cup : alum & mag hydroxide-simeth 200-200-20 mg/5ml po susp until 03/2102? | SELECT COUNT(*) > 0 FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '004-66442')) AND medication.drugname = '30 ml cup : alum & mag hydroxide-simeth 200-200-20 mg/5ml po susp' AND STRFTIME('%y-%m', medication.drugstarttime) <= '2102-03' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '004-66442' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT COUNT(*) > 0 FROM "medication" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "medication"."patientunitstayid" WHERE "medication"."drugname" = '30 ml cup : alum & mag hydroxide-simeth 200-200-20 mg/5ml po susp' AND NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m', "medication"."drugstarttime") <= '2102-03' | 0.645508 |
CREATE TABLE table_name_33 (game INT, date VARCHAR)
| What is the lowest game number on 20 July 2008? | SELECT MIN(game) FROM table_name_33 WHERE date = "20 july 2008" | SELECT MIN("game") FROM "table_name_33" WHERE "20 july 2008" = "date" | 0.067383 |
CREATE TABLE table_57631 ("Name of horse" TEXT, "Year inducted" FLOAT, "Year foaled" TEXT, "Sire" TEXT, "Broodmare sire" TEXT, "Discipline" TEXT)
| What horse was induced in 2011 with a sire of cowboy p-12? | SELECT "Name of horse" FROM table_57631 WHERE "Year inducted" = '2011' AND "Broodmare sire" = 'cowboy p-12' | SELECT "Name of horse" FROM "table_57631" WHERE "Broodmare sire" = 'cowboy p-12' AND "Year inducted" = '2011' | 0.106445 |
CREATE TABLE table_5499 ("Name" TEXT, "Hanzi" TEXT, "Origin" TEXT, "Launch" FLOAT, "Owner" TEXT)
| What is the earliest launch that was from Beijing? | SELECT MIN("Launch") FROM table_5499 WHERE "Origin" = 'beijing' | SELECT MIN("Launch") FROM "table_5499" WHERE "Origin" = 'beijing' | 0.063477 |
CREATE TABLE table_17567 ("Stage" TEXT, "Winner" TEXT, "General classification" TEXT, "Points classification" TEXT, "Mountains classification" TEXT, "Young rider classification" TEXT, "Trofeo Fast Team" TEXT)
| Name the trofeo fast team of stage 2 | SELECT "Trofeo Fast Team" FROM table_17567 WHERE "Stage" = '2' | SELECT "Trofeo Fast Team" FROM "table_17567" WHERE "Stage" = '2' | 0.0625 |
CREATE TABLE Apartment_Bookings (apt_booking_id INT, apt_id INT, guest_id INT, booking_status_code CHAR, booking_start_date DATETIME, booking_end_date DATETIME)
CREATE TABLE View_Unit_Status (apt_id INT, apt_booking_id INT, status_date DATETIME, available_yn BIT)
CREATE TABLE Apartment_Facilities (apt_id INT, facility_code CHAR)
CREATE TABLE Guests (guest_id INT, gender_code CHAR, guest_first_name VARCHAR, guest_last_name VARCHAR, date_of_birth DATETIME)
CREATE TABLE Apartments (apt_id INT, building_id INT, apt_type_code CHAR, apt_number CHAR, bathroom_count INT, bedroom_count INT, room_count CHAR)
CREATE TABLE Apartment_Buildings (building_id INT, building_short_name CHAR, building_full_name VARCHAR, building_description VARCHAR, building_address VARCHAR, building_manager VARCHAR, building_phone VARCHAR)
| Bar chart x axis booking end date y axis the number of booking end date, and could you sort by the total number in asc? | SELECT booking_end_date, COUNT(booking_end_date) FROM Apartment_Bookings ORDER BY COUNT(booking_end_date) | SELECT "booking_end_date", COUNT("booking_end_date") FROM "Apartment_Bookings" ORDER BY COUNT("booking_end_date") NULLS FIRST | 0.12207 |
CREATE TABLE table_65201 ("Rank" FLOAT, "Heat" FLOAT, "Lane" FLOAT, "Name" TEXT, "Nationality" TEXT, "Time" TEXT)
| What is the Nationality of the swimmer with a Time of 1:08.80? | SELECT "Nationality" FROM table_65201 WHERE "Time" = '1:08.80' | SELECT "Nationality" FROM "table_65201" WHERE "Time" = '1:08.80' | 0.0625 |
CREATE TABLE table_11538 ("State" TEXT, "Interview" FLOAT, "Swimsuit" FLOAT, "Evening Gown" FLOAT, "Average" FLOAT)
| What is the total for the state of new york and a swimsuit less than 9.394? | SELECT SUM("Interview") FROM table_11538 WHERE "State" = 'new york' AND "Swimsuit" < '9.394' | SELECT SUM("Interview") FROM "table_11538" WHERE "State" = 'new york' AND "Swimsuit" < '9.394' | 0.091797 |
CREATE TABLE table_name_29 (Id VARCHAR)
| What is the 2005 figure when 2002 is A and 2010 is 3R? | SELECT 2005 FROM table_name_29 WHERE 2002 = "a" AND 2010 = "3r" | SELECT 2005 FROM "table_name_29" WHERE "3r" = 2010 AND "a" = 2002 | 0.063477 |
CREATE TABLE table_1108394_47 (party VARCHAR, manhattan VARCHAR)
| How many parties received 29.9% of the vote in Manhattan? | SELECT COUNT(party) FROM table_1108394_47 WHERE manhattan = "29.9_percentage" | SELECT COUNT("party") FROM "table_1108394_47" WHERE "29.9_percentage" = "manhattan" | 0.081055 |
CREATE TABLE table_name_93 (country VARCHAR, notes VARCHAR, release_title VARCHAR)
| Which country had a release of 1 VCD titled Martial Law: Substitutes? | SELECT country FROM table_name_93 WHERE notes = "1 vcd" AND release_title = "martial law: substitutes" | SELECT "country" FROM "table_name_93" WHERE "1 vcd" = "notes" AND "martial law: substitutes" = "release_title" | 0.107422 |
CREATE TABLE table_38453 ("Line" TEXT, "Speed" TEXT, "Length" TEXT, "Construction begun" TEXT, "Expected start of revenue services" FLOAT)
| What is the Speed when Construction begun in 2010, and an Expected start of revenue services of 2015? | SELECT "Speed" FROM table_38453 WHERE "Construction begun" = '2010' AND "Expected start of revenue services" = '2015' | SELECT "Speed" FROM "table_38453" WHERE "Construction begun" = '2010' AND "Expected start of revenue services" = '2015' | 0.116211 |
CREATE TABLE table_56020 ("Name" TEXT, "Bodyweight" FLOAT, "Snatch" FLOAT, "Clean & jerk" FLOAT, "Total ( kg ) " FLOAT)
| What is the sum Total (kg) associated with a Snatch less than 110, and a Clean & jerk larger than 120? | SELECT SUM("Total (kg)") FROM table_56020 WHERE "Snatch" < '110' AND "Clean & jerk" > '120' | SELECT SUM("Total (kg)") FROM "table_56020" WHERE "Clean & jerk" > '120' AND "Snatch" < '110' | 0.09082 |
CREATE TABLE table_55727 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
| How many people were in the Crowd when the Home team scored 10.7 (67)? | SELECT COUNT("Crowd") FROM table_55727 WHERE "Home team score" = '10.7 (67)' | SELECT COUNT("Crowd") FROM "table_55727" WHERE "Home team score" = '10.7 (67)' | 0.076172 |
CREATE TABLE table_30120560_1 (civil_parish VARCHAR, area__acres__ VARCHAR)
| which cilvil parishes have areas of 405? | SELECT civil_parish FROM table_30120560_1 WHERE area__acres__ = 405 | SELECT "civil_parish" FROM "table_30120560_1" WHERE "area__acres__" = 405 | 0.071289 |
CREATE TABLE table_24915874_1 (jockey VARCHAR, weight__kg_ VARCHAR)
| For which jockey was the weight in kg 53.5? | SELECT jockey FROM table_24915874_1 WHERE weight__kg_ = "53.5" | SELECT "jockey" FROM "table_24915874_1" WHERE "53.5" = "weight__kg_" | 0.066406 |
CREATE TABLE table_name_85 (goals_for INT, wins VARCHAR, goals_against VARCHAR)
| What is the smallest number of 'goals for' out of the clubs where there were 18 wins and fewer than 38 'goals against'? | SELECT MIN(goals_for) FROM table_name_85 WHERE wins = 18 AND goals_against < 38 | SELECT MIN("goals_for") FROM "table_name_85" WHERE "goals_against" < 38 AND "wins" = 18 | 0.084961 |
CREATE TABLE table_name_48 (votes VARCHAR, rank VARCHAR, candidate VARCHAR)
| How many votes did 3rd ranking candidate Mary Louise Lorefice receive? | SELECT COUNT(votes) FROM table_name_48 WHERE rank = "3rd" AND candidate = "mary louise lorefice" | SELECT COUNT("votes") FROM "table_name_48" WHERE "3rd" = "rank" AND "candidate" = "mary louise lorefice" | 0.101563 |
CREATE TABLE table_24921 ("School" TEXT, "Location" TEXT, "Team Name" TEXT, "Colors" TEXT, "Varsity Teams" FLOAT, "NJCAA Championships" FLOAT)
| What is the minimum possible NJCAA championships? | SELECT MIN("NJCAA Championships") FROM table_24921 | SELECT MIN("NJCAA Championships") FROM "table_24921" | 0.050781 |
CREATE TABLE repair (repair_ID INT, name TEXT, Launch_Date TEXT, Notes TEXT)
CREATE TABLE repair_assignment (technician_id INT, repair_ID INT, Machine_ID INT)
CREATE TABLE machine (Machine_ID INT, Making_Year INT, Class TEXT, Team TEXT, Machine_series TEXT, value_points FLOAT, quality_rank INT)
CREATE TABLE technician (technician_id FLOAT, Name TEXT, Team TEXT, Starting_Year FLOAT, Age INT)
| List the names of technicians in ascending order of age, and count them by a bar chart | SELECT Name, COUNT(Name) FROM technician GROUP BY Name ORDER BY Age | SELECT "Name", COUNT("Name") FROM "technician" GROUP BY "Name" ORDER BY "Age" NULLS FIRST | 0.086914 |
CREATE TABLE table_40143 ("Rider" TEXT, "Manufacturer" TEXT, "Laps" FLOAT, "Time/Retired" TEXT, "Grid" FLOAT)
| Who is the rider when the grid number is 3? | SELECT "Rider" FROM table_40143 WHERE "Grid" = '3' | SELECT "Rider" FROM "table_40143" WHERE "Grid" = '3' | 0.050781 |
CREATE TABLE table_name_70 (agg VARCHAR, team_1 VARCHAR)
| What is the agg when team 1 is Milan? | SELECT agg FROM table_name_70 WHERE team_1 = "milan" | SELECT "agg" FROM "table_name_70" WHERE "milan" = "team_1" | 0.056641 |
CREATE TABLE table_31613 ("Year" TEXT, "Games" FLOAT, "Rushes" FLOAT, "Yards" FLOAT, "Average" FLOAT)
| How many games had 41 rushes and were than 197 yards? | SELECT COUNT("Games") FROM table_31613 WHERE "Rushes" = '41' AND "Yards" < '197' | SELECT COUNT("Games") FROM "table_31613" WHERE "Rushes" = '41' AND "Yards" < '197' | 0.080078 |
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
| Do I need to take EMBA 640 to take EMBA 604 ? | SELECT COUNT(*) > 0 FROM course AS COURSE_0, course AS COURSE_1, course_prerequisite WHERE COURSE_0.course_id = course_prerequisite.pre_course_id AND COURSE_0.department = 'EMBA' AND COURSE_0.number = 640 AND COURSE_1.course_id = course_prerequisite.course_id AND COURSE_1.department = 'EMBA' AND COURSE_1.number = 604 | SELECT COUNT(*) > 0 FROM "course" AS "COURSE_0" JOIN "course_prerequisite" ON "COURSE_0"."course_id" = "course_prerequisite"."pre_course_id" JOIN "course" AS "COURSE_1" ON "COURSE_1"."course_id" = "course_prerequisite"."course_id" AND "COURSE_1"."department" = 'EMBA' AND "COURSE_1"."number" = 604 WHERE "COURSE_0"."department" = 'EMBA' AND "COURSE_0"."number" = 640 | 0.357422 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| how many patients whose year of birth is less than 2197 and procedure icd9 code is 309? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.dob_year < "2197" AND procedures.icd9_code = "309" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "309" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "2197" > "demographic"."dob_year" | 0.209961 |
CREATE TABLE table_name_75 (venue VARCHAR, away_team VARCHAR)
| Where did Geelong play as the away team? | SELECT venue FROM table_name_75 WHERE away_team = "geelong" | SELECT "venue" FROM "table_name_75" WHERE "away_team" = "geelong" | 0.063477 |
CREATE TABLE table_25460 ("#" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "Location Attendance" TEXT, "High Points" TEXT, "High Rebounds" TEXT, "High Assists" TEXT, "Record" TEXT)
| Name the total number for score l 110-112 | SELECT COUNT("#") FROM table_25460 WHERE "Score" = 'L 110-112' | SELECT COUNT("#") FROM "table_25460" WHERE "Score" = 'L 110-112' | 0.0625 |
CREATE TABLE table_13387 ("2002/ 03" TEXT, "2003/ 04" TEXT, "2004/ 05" TEXT, "2005/ 06" TEXT, "2006/ 07" TEXT, "2007/ 08" TEXT, "2008/ 09" TEXT, "2009/ 10" TEXT, "2010/ 11" TEXT, "2011/ 12" TEXT, "2012/ 13" TEXT)
| what is 2007/08 when 2005/06 is not held and 2004/05 is lq? | SELECT "2007/ 08" FROM table_13387 WHERE "2005/ 06" = 'not held' AND "2004/ 05" = 'lq' | SELECT "2007/ 08" FROM "table_13387" WHERE "2004/ 05" = 'lq' AND "2005/ 06" = 'not held' | 0.085938 |
CREATE TABLE photos (id INT, camera_lens_id INT, mountain_id INT, color TEXT, name TEXT)
CREATE TABLE camera_lens (id INT, brand TEXT, name TEXT, focal_length_mm FLOAT, max_aperture FLOAT)
CREATE TABLE mountain (id INT, name TEXT, Height FLOAT, Prominence FLOAT, Range TEXT, Country TEXT)
| Please draw a bar chart to show the total number of different color, rank names in asc order. | SELECT color, COUNT(color) FROM photos GROUP BY color ORDER BY color | SELECT "color", COUNT("color") FROM "photos" GROUP BY "color" ORDER BY "color" NULLS FIRST | 0.087891 |
CREATE TABLE table_67141 ("Year" TEXT, "Start" TEXT, "Qual" TEXT, "Rank" TEXT, "Finish" TEXT, "Laps" FLOAT)
| How many laps have 1 as the start? | SELECT COUNT("Laps") FROM table_67141 WHERE "Start" = '1' | SELECT COUNT("Laps") FROM "table_67141" WHERE "Start" = '1' | 0.057617 |
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
| what's the price of ethanol. | SELECT DISTINCT cost.cost FROM cost WHERE cost.event_type = 'labevents' AND cost.event_id IN (SELECT labevents.row_id FROM labevents WHERE labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'ethanol')) | WITH "_u_0" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'ethanol' GROUP BY "itemid"), "_u_1" AS (SELECT "labevents"."row_id" FROM "labevents" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "labevents"."itemid" WHERE NOT "_u_0"."" IS NULL GROUP BY "row_id") SELECT DISTINCT "cost"."cost" FROM "cost" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "cost"."event_id" WHERE "cost"."event_type" = 'labevents' AND NOT "_u_1"."" IS NULL | 0.444336 |
CREATE TABLE table_name_97 (time VARCHAR, rider VARCHAR)
| what was valentino rossi's rider time? | SELECT time FROM table_name_97 WHERE rider = "valentino rossi" | SELECT "time" FROM "table_name_97" WHERE "rider" = "valentino rossi" | 0.066406 |
CREATE TABLE table_name_15 (security_forces VARCHAR, civilians VARCHAR)
| Name the security forces with civilians of 67 | SELECT security_forces FROM table_name_15 WHERE civilians = "67" | SELECT "security_forces" FROM "table_name_15" WHERE "67" = "civilians" | 0.068359 |
CREATE TABLE table_train_117 ("id" INT, "mini_mental_state_examination_mmse" INT, "systolic_blood_pressure_sbp" INT, "renal_disease" BOOLEAN, "total_serum_protein" INT, "diastolic_blood_pressure_dbp" INT, "geriatric_depression_scale_gds" INT, "serum_creatinine" FLOAT, "uncontrolled_blood_pressure" BOOLEAN, "NOUSE" FLOAT)
| total serum protein > 9 g / dl | SELECT * FROM table_train_117 WHERE total_serum_protein > 9 | SELECT * FROM "table_train_117" WHERE "total_serum_protein" > 9 | 0.061523 |
CREATE TABLE table_41866 ("Peel" TEXT, "Wins" FLOAT, "Byes" FLOAT, "Losses" FLOAT, "Draws" FLOAT, "Against" FLOAT)
| Which Draws has a Wins of 10, and a Peel of south mandurah, and a Byes larger than 0? | SELECT AVG("Draws") FROM table_41866 WHERE "Wins" = '10' AND "Peel" = 'south mandurah' AND "Byes" > '0' | SELECT AVG("Draws") FROM "table_41866" WHERE "Byes" > '0' AND "Peel" = 'south mandurah' AND "Wins" = '10' | 0.102539 |
CREATE TABLE table_name_35 (incumbent VARCHAR, result VARCHAR)
| Which Incumbent has a Result of retired democratic gain? | SELECT incumbent FROM table_name_35 WHERE result = "retired democratic gain" | SELECT "incumbent" FROM "table_name_35" WHERE "result" = "retired democratic gain" | 0.080078 |
CREATE TABLE table_27539535_4 (points INT)
| What is the highest amount of points? | SELECT MAX(points) FROM table_27539535_4 | SELECT MAX("points") FROM "table_27539535_4" | 0.042969 |
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
| among patients who were prescribed chlorothiazide after having been diagnosed with oth/uns inf-cen ven cath calculate the one year survival rate. | SELECT SUM(CASE WHEN patients.dod IS NULL THEN 1 WHEN STRFTIME('%j', patients.dod) - STRFTIME('%j', t4.charttime) > 1 * 365 THEN 1 ELSE 0 END) * 100 / COUNT(*) FROM (SELECT t2.subject_id, t2.charttime FROM (SELECT t1.subject_id, t1.charttime FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'oth/uns inf-cen ven cath') GROUP BY admissions.subject_id HAVING MIN(diagnoses_icd.charttime) = diagnoses_icd.charttime) AS t1 WHERE STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', t1.charttime) > 1 * 365) AS t2 JOIN (SELECT admissions.subject_id, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE prescriptions.drug = 'chlorothiazide') AS t3 ON t2.subject_id = t3.subject_id WHERE t2.charttime < t3.startdate) AS t4 JOIN patients ON t4.subject_id = patients.subject_id | WITH "t1" AS (SELECT "admissions"."subject_id", "diagnoses_icd"."charttime" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'oth/uns inf-cen ven cath' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" GROUP BY "admissions"."subject_id" HAVING "diagnoses_icd"."charttime" = MIN("diagnoses_icd"."charttime")), "t3" AS (SELECT "admissions"."subject_id", "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" WHERE "prescriptions"."drug" = 'chlorothiazide') SELECT SUM(CASE WHEN "patients"."dod" IS NULL THEN 1 WHEN STRFTIME('%j', "patients"."dod") - STRFTIME('%j', "t1"."charttime") > 365 THEN 1 ELSE 0 END) * 100 / NULLIF(COUNT(*), 0) FROM "t1" AS "t1" JOIN "t3" AS "t3" ON "t1"."charttime" < "t3"."startdate" AND "t1"."subject_id" = "t3"."subject_id" JOIN "patients" ON "patients"."subject_id" = "t1"."subject_id" WHERE STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "t1"."charttime") > 365 | 1.050781 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| what is marital status and days of hospital stay of subject id 6983? | SELECT demographic.marital_status, demographic.days_stay FROM demographic WHERE demographic.subject_id = "6983" | SELECT "demographic"."marital_status", "demographic"."days_stay" FROM "demographic" WHERE "6983" = "demographic"."subject_id" | 0.12207 |
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
| For all employees who have the letters D or S in their first name, give me the trend about employee_id over hire_date , list from high to low by the x-axis. | SELECT HIRE_DATE, EMPLOYEE_ID FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY HIRE_DATE DESC | SELECT "HIRE_DATE", "EMPLOYEE_ID" FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' ORDER BY "HIRE_DATE" DESC NULLS LAST | 0.140625 |
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
| Is it possible to leave for work at 5:00 while taking 866 and 975 ? | SELECT COUNT(*) = 0 FROM course INNER JOIN course_offering ON course.course_id = course_offering.course_id INNER JOIN semester ON semester.semester_id = course_offering.semester WHERE (course.number = 866 OR course.number = 975) AND course_offering.end_time > '17:00:00' AND semester.semester = 'WN' AND semester.year = 2016 | SELECT COUNT(*) = 0 FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" AND "course_offering"."end_time" > '17:00:00' JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'WN' AND "semester"."year" = 2016 WHERE "course"."number" = 866 OR "course"."number" = 975 | 0.34375 |
CREATE TABLE table_name_39 (score VARCHAR, winner VARCHAR, runner_up VARCHAR)
| What is the Score when the winner was sanyo wild knights, and a Runner-up of suntory sungoliath? | SELECT score FROM table_name_39 WHERE winner = "sanyo wild knights" AND runner_up = "suntory sungoliath" | SELECT "score" FROM "table_name_39" WHERE "runner_up" = "suntory sungoliath" AND "sanyo wild knights" = "winner" | 0.109375 |
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
| are there any CO flights between DALLAS and BOSTON | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE (CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BOSTON' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DALLAS' AND flight.to_airport = AIRPORT_SERVICE_0.airport_code AND flight.from_airport = AIRPORT_SERVICE_1.airport_code) AND flight.airline_code = 'CO' | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'BOSTON' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."to_airport" AND "flight"."airline_code" = 'CO' JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."from_airport" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'DALLAS' | 0.526367 |
CREATE TABLE table_66517 ("Name" TEXT, "GP-GS" TEXT, "Receptions" FLOAT, "Long" FLOAT, "Avg/G" FLOAT)
| How many times is avg/g 2? | SELECT COUNT("Receptions") FROM table_66517 WHERE "Avg/G" = '2' | SELECT COUNT("Receptions") FROM "table_66517" WHERE "Avg/G" = '2' | 0.063477 |
CREATE TABLE table_name_9 (attendance VARCHAR, week VARCHAR)
| What was the attendance for the week 1 game? | SELECT attendance FROM table_name_9 WHERE week = 1 | SELECT "attendance" FROM "table_name_9" WHERE "week" = 1 | 0.054688 |
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
| For all employees who have the letters D or S in their first name, show me about the distribution of job_id and the average of employee_id , and group by attribute job_id in a bar chart, list JOB_ID from low to high order. | SELECT JOB_ID, AVG(EMPLOYEE_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID ORDER BY JOB_ID | SELECT "JOB_ID", AVG("EMPLOYEE_ID") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' GROUP BY "JOB_ID" ORDER BY "JOB_ID" NULLS FIRST | 0.15332 |
CREATE TABLE table_10872 ("Date" TEXT, "Round" TEXT, "Opponent" TEXT, "Venue" TEXT, "Result" TEXT, "Attendance" FLOAT)
| What is the round of the match at venue A with a result of 1-2 on 7 December 2004? | SELECT "Round" FROM table_10872 WHERE "Venue" = 'a' AND "Result" = '1-2' AND "Date" = '7 december 2004' | SELECT "Round" FROM "table_10872" WHERE "Date" = '7 december 2004' AND "Result" = '1-2' AND "Venue" = 'a' | 0.102539 |
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
| what is the monthly minimum amount of rbc patient 002-41391 has since 2 years ago? | SELECT MIN(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 = '002-41391')) AND lab.labname = 'rbc' AND DATETIME(lab.labresulttime) >= DATETIME(CURRENT_TIME(), '-2 year') GROUP BY STRFTIME('%y-%m', lab.labresulttime) | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '002-41391' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT MIN("lab"."labresult") FROM "lab" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = 'rbc' AND DATETIME("lab"."labresulttime") >= DATETIME(CURRENT_TIME(), '-2 year') AND NOT "_u_1"."" IS NULL GROUP BY STRFTIME('%y-%m', "lab"."labresulttime") | 0.631836 |
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
| Declaring a major in CLLING requires me to take which classes ? | SELECT DISTINCT course.department, course.name, course.number FROM course, program_course WHERE course.department LIKE '%CLLING%' AND program_course.category LIKE 'PreMajor' AND program_course.course_id = course.course_id | SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE 'PreMajor' WHERE "course"."department" LIKE '%CLLING%' | 0.25 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
| what is the number of patients admitted before 2175 diagnosed with diverticulosis of colon with hemorrhage? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admityear < "2175" AND diagnoses.long_title = "Diverticulosis of colon with hemorrhage" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Diverticulosis of colon with hemorrhage" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "2175" > "demographic"."admityear" | 0.244141 |
CREATE TABLE table_45303 ("Place" TEXT, "Player" TEXT, "Country" TEXT, "Score" TEXT, "To par" TEXT, "Money ( $ ) " TEXT)
| What was the To par for bill britton when he placed t7? | SELECT "To par" FROM table_45303 WHERE "Place" = 't7' AND "Player" = 'bill britton' | SELECT "To par" FROM "table_45303" WHERE "Place" = 't7' AND "Player" = 'bill britton' | 0.083008 |
CREATE TABLE table_32140 ("Player" TEXT, "Career" TEXT, "Goals" FLOAT, "Caps" FLOAT, "Average" FLOAT)
| What is the sum of the averages when there are 68 caps and less than 9 goals? | SELECT SUM("Average") FROM table_32140 WHERE "Caps" = '68' AND "Goals" < '9' | SELECT SUM("Average") FROM "table_32140" WHERE "Caps" = '68' AND "Goals" < '9' | 0.076172 |
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
| when was the first time that since 164 months ago patient 95909 was prescribed a medication via pr? | SELECT prescriptions.startdate FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 95909) AND prescriptions.route = 'pr' AND DATETIME(prescriptions.startdate) >= DATETIME(CURRENT_TIME(), '-164 month') ORDER BY prescriptions.startdate LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 95909 GROUP BY "hadm_id") SELECT "prescriptions"."startdate" FROM "prescriptions" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE "prescriptions"."route" = 'pr' AND DATETIME("prescriptions"."startdate") >= DATETIME(CURRENT_TIME(), '-164 month') AND NOT "_u_0"."" IS NULL ORDER BY "prescriptions"."startdate" NULLS FIRST LIMIT 1 | 0.44043 |
CREATE TABLE table_25791 ("Rank" FLOAT, "City/Town" TEXT, "County" TEXT, "Region/Province" TEXT, "Population" FLOAT, "Country" TEXT)
| When 2 is the rank what is the city/town? | SELECT "City/Town" FROM table_25791 WHERE "Rank" = '2' | SELECT "City/Town" FROM "table_25791" WHERE "Rank" = '2' | 0.054688 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| provide the number of patients whose diagnoses long title is anemia, unspecified and lab test fluid is cerebrospinal fluid (csf)? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.long_title = "Anemia, unspecified" AND lab.fluid = "Cerebrospinal Fluid (CSF)" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Anemia, unspecified" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "Cerebrospinal Fluid (CSF)" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.286133 |
CREATE TABLE event (ID INT, Name TEXT, Stadium_ID INT, Year TEXT)
CREATE TABLE stadium (ID INT, name TEXT, Capacity INT, City TEXT, Country TEXT, Opening_year INT)
CREATE TABLE swimmer (ID INT, name TEXT, Nationality TEXT, meter_100 FLOAT, meter_200 TEXT, meter_300 TEXT, meter_400 TEXT, meter_500 TEXT, meter_600 TEXT, meter_700 TEXT, Time TEXT)
CREATE TABLE record (ID INT, Result TEXT, Swimmer_ID INT, Event_ID INT)
| Bar chart x axis meter 700 y axis id, and display by the y axis in ascending please. | SELECT meter_700, ID FROM swimmer ORDER BY ID | SELECT "meter_700", "ID" FROM "swimmer" ORDER BY "ID" NULLS FIRST | 0.063477 |
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