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CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| what is admission time and procedure icd9 code of subject id 17772? | SELECT demographic.admittime, procedures.icd9_code FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.subject_id = "17772" | SELECT "demographic"."admittime", "procedures"."icd9_code" FROM "demographic" JOIN "procedures" ON "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "17772" = "demographic"."subject_id" | 0.185547 |
CREATE TABLE ref_document_status (document_status_code TEXT, document_status_description TEXT)
CREATE TABLE circulation_history (document_id DECIMAL, draft_number DECIMAL, copy_number DECIMAL, employee_id DECIMAL)
CREATE TABLE documents (document_id DECIMAL, document_status_code TEXT, document_type_code TEXT, shipping_agent_code TEXT, receipt_date TIME, receipt_number TEXT, other_details TEXT)
CREATE TABLE documents_mailed (document_id DECIMAL, mailed_to_address_id DECIMAL, mailing_date TIME)
CREATE TABLE document_drafts (document_id DECIMAL, draft_number DECIMAL, draft_details TEXT)
CREATE TABLE roles (role_code TEXT, role_description TEXT)
CREATE TABLE ref_shipping_agents (shipping_agent_code TEXT, shipping_agent_name TEXT, shipping_agent_description TEXT)
CREATE TABLE ref_document_types (document_type_code TEXT, document_type_description TEXT)
CREATE TABLE addresses (address_id DECIMAL, address_details TEXT)
CREATE TABLE employees (employee_id DECIMAL, role_code TEXT, employee_name TEXT, other_details TEXT)
CREATE TABLE draft_copies (document_id DECIMAL, draft_number DECIMAL, copy_number DECIMAL)
| List roles that have more than one employee. List the role description and number of employees. | SELECT roles.role_description, COUNT(employees.employee_id) FROM roles JOIN employees ON employees.role_code = roles.role_code GROUP BY employees.role_code HAVING COUNT(employees.employee_id) > 1 | SELECT "roles"."role_description", COUNT("employees"."employee_id") FROM "roles" JOIN "employees" ON "employees"."role_code" = "roles"."role_code" GROUP BY "employees"."role_code" HAVING COUNT("employees"."employee_id") > 1 | 0.217773 |
CREATE TABLE shipments (shipment_id DECIMAL, order_id DECIMAL, invoice_number DECIMAL, shipment_tracking_number TEXT, shipment_date TIME, other_shipment_details TEXT)
CREATE TABLE orders (order_id DECIMAL, customer_id DECIMAL, order_status TEXT, date_order_placed TIME, order_details TEXT)
CREATE TABLE customers (customer_id DECIMAL, customer_name TEXT, customer_details TEXT)
CREATE TABLE order_items (order_item_id DECIMAL, product_id DECIMAL, order_id DECIMAL, order_item_status TEXT, order_item_details TEXT)
CREATE TABLE products (product_id DECIMAL, product_name TEXT, product_details TEXT)
CREATE TABLE shipment_items (shipment_id DECIMAL, order_item_id DECIMAL)
CREATE TABLE invoices (invoice_number DECIMAL, invoice_date TIME, invoice_details TEXT)
| Give me the names of customers who have placed orders between 2009-01-01 and 2010-01-01. | SELECT T1.customer_name FROM customers AS T1 JOIN orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.date_order_placed >= "2009-01-01" AND T2.date_order_placed <= "2010-01-01" | SELECT "T1"."customer_name" FROM "customers" AS "T1" JOIN "orders" AS "T2" ON "2009-01-01" <= "T2"."date_order_placed" AND "2010-01-01" >= "T2"."date_order_placed" AND "T1"."customer_id" = "T2"."customer_id" | 0.202148 |
CREATE TABLE table_22977424_8 (season VARCHAR, promoted_from_league VARCHAR)
| Name the season for rotherham titans | SELECT season FROM table_22977424_8 WHERE promoted_from_league = "Rotherham Titans" | SELECT "season" FROM "table_22977424_8" WHERE "Rotherham Titans" = "promoted_from_league" | 0.086914 |
CREATE TABLE table_name_67 (away_team VARCHAR, home_team VARCHAR)
| What away team has tottenham hotspur as the home team? | SELECT away_team FROM table_name_67 WHERE home_team = "tottenham hotspur" | SELECT "away_team" FROM "table_name_67" WHERE "home_team" = "tottenham hotspur" | 0.077148 |
CREATE TABLE table_name_82 (city VARCHAR, date VARCHAR)
| What city has march 30 as the date? | SELECT city FROM table_name_82 WHERE date = "march 30" | SELECT "city" FROM "table_name_82" WHERE "date" = "march 30" | 0.058594 |
CREATE TABLE table_26261072_1 (original_air_date VARCHAR, series__number VARCHAR)
| Name the original air date for series number 15 | SELECT original_air_date FROM table_26261072_1 WHERE series__number = 15 | SELECT "original_air_date" FROM "table_26261072_1" WHERE "series__number" = 15 | 0.076172 |
CREATE TABLE table_10712301_5 (licence_award_date VARCHAR, region VARCHAR)
| What is the license award date for North East England? | SELECT licence_award_date FROM table_10712301_5 WHERE region = "North East England" | SELECT "licence_award_date" FROM "table_10712301_5" WHERE "North East England" = "region" | 0.086914 |
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 lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| what is item id of subject name jerry deberry? | SELECT lab.itemid FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.name = "Jerry Deberry" | SELECT "lab"."itemid" FROM "demographic" JOIN "lab" ON "demographic"."hadm_id" = "lab"."hadm_id" WHERE "Jerry Deberry" = "demographic"."name" | 0.137695 |
CREATE TABLE table_38660 ("District" TEXT, "Incumbent" TEXT, "Party" TEXT, "Elected" FLOAT, "Status" TEXT)
| Who was the incumbent in the 20th district? | SELECT "Incumbent" FROM table_38660 WHERE "District" = '20th' | SELECT "Incumbent" FROM "table_38660" WHERE "District" = '20th' | 0.061523 |
CREATE TABLE paperdataset (paperid INT, datasetid INT)
CREATE TABLE paper (paperid INT, title VARCHAR, venueid INT, year INT, numciting INT, numcitedby INT, journalid INT)
CREATE TABLE paperkeyphrase (paperid INT, keyphraseid INT)
CREATE TABLE author (authorid INT, authorname VARCHAR)
CREATE TABLE keyphrase (keyphraseid INT, keyphrasename VARCHAR)
CREATE TABLE dataset (datasetid INT, datasetname VARCHAR)
CREATE TABLE field (fieldid INT)
CREATE TABLE journal (journalid INT, journalname VARCHAR)
CREATE TABLE paperfield (fieldid INT, paperid INT)
CREATE TABLE cite (citingpaperid INT, citedpaperid INT)
CREATE TABLE venue (venueid INT, venuename VARCHAR)
CREATE TABLE writes (paperid INT, authorid INT)
| papers about query expansion in sigir 2014 | SELECT DISTINCT paper.paperid FROM keyphrase, paper, paperkeyphrase, venue WHERE keyphrase.keyphrasename = 'query expansion' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paper.paperid = paperkeyphrase.paperid AND paper.year = 2014 AND venue.venueid = paper.venueid AND venue.venuename = 'sigir' | SELECT DISTINCT "paper"."paperid" FROM "keyphrase" JOIN "paperkeyphrase" ON "keyphrase"."keyphraseid" = "paperkeyphrase"."keyphraseid" JOIN "paper" ON "paper"."paperid" = "paperkeyphrase"."paperid" AND "paper"."year" = 2014 JOIN "venue" ON "paper"."venueid" = "venue"."venueid" AND "venue"."venuename" = 'sigir' WHERE "keyphrase"."keyphrasename" = 'query expansion' | 0.356445 |
CREATE TABLE table_67439 ("Year" FLOAT, "Entrant" TEXT, "Chassis" TEXT, "Engine" TEXT, "Points" FLOAT)
| What is the latest year for the Tyrrell 018 Chassis that has less than 3 points? | SELECT MAX("Year") FROM table_67439 WHERE "Chassis" = 'tyrrell 018' AND "Points" < '3' | SELECT MAX("Year") FROM "table_67439" WHERE "Chassis" = 'tyrrell 018' AND "Points" < '3' | 0.085938 |
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 procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_icd_procedures (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 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 chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE 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 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)
| when was the first time that patient 12885 was given a other phototherapy procedure during the previous year? | SELECT procedures_icd.charttime FROM procedures_icd WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'other phototherapy') AND procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 12885) AND DATETIME(procedures_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') ORDER BY procedures_icd.charttime LIMIT 1 | WITH "_u_1" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 12885 GROUP BY "hadm_id") SELECT "procedures_icd"."charttime" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'other phototherapy' LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "procedures_icd"."hadm_id" WHERE DATETIME("procedures_icd"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_1"."" IS NULL ORDER BY "procedures_icd"."charttime" NULLS FIRST LIMIT 1 | 0.585938 |
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
| What is the total revenue of companies started by founder Plot them as bar chart, sort by the X-axis in ascending. | SELECT Founder, SUM(Revenue) FROM Manufacturers GROUP BY Founder ORDER BY Founder | SELECT "Founder", SUM("Revenue") FROM "Manufacturers" GROUP BY "Founder" ORDER BY "Founder" NULLS FIRST | 0.100586 |
CREATE TABLE table_10897 ("Name" TEXT, "Years" TEXT, "Gender" TEXT, "Area" TEXT, "Authority" TEXT, "Decile" FLOAT, "Roll" FLOAT)
| What is the average decile of the school with a state authority and a roll number of 888? | SELECT AVG("Decile") FROM table_10897 WHERE "Authority" = 'state' AND "Roll" = '888' | SELECT AVG("Decile") FROM "table_10897" WHERE "Authority" = 'state' AND "Roll" = '888' | 0.083984 |
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 microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime 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 cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE 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 vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
| has patient 017-20711 been prescribed norco 5 mg-325 mg, thiamine hcl 100 mg po tabs, or sodium chloride 0.9% 500 ml bag since 6 months ago? | 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 = '017-20711')) AND medication.drugname IN ('thiamine hcl 100 mg po tabs', 'norco 5 mg-325 mg', 'sodium chloride 0.9% 500 ml bag') AND DATETIME(medication.drugstarttime) >= DATETIME(CURRENT_TIME(), '-6 month') | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '017-20711' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" 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" IN ('thiamine hcl 100 mg po tabs', 'norco 5 mg-325 mg', 'sodium chloride 0.9% 500 ml bag') AND DATETIME("medication"."drugstarttime") >= DATETIME(CURRENT_TIME(), '-6 month') AND NOT "_u_1"."" IS NULL | 0.683594 |
CREATE TABLE table_2288 ("Type" TEXT, "Beam height ( mm ) " FLOAT, "Flange width ( mm ) " FLOAT, "Web thickness ( mm ) " TEXT, "Flange thickness ( mm ) " TEXT, "Weight ( kg/m ) " TEXT, "Cross-section area ( cm 2 ) " TEXT, "Moment of inertia in torsion ( J ) ( cm 4 ) " TEXT)
| If the cross-section area is 21.2, what is the weight? | SELECT "Weight (kg/m)" FROM table_2288 WHERE "Cross-section area (cm 2 )" = '21.2' | SELECT "Weight (kg/m)" FROM "table_2288" WHERE "Cross-section area (cm 2 )" = '21.2' | 0.082031 |
CREATE TABLE table_14229 ("School" TEXT, "Location" TEXT, "Mascot" TEXT, "Enrollment 12-13" FLOAT, "IHSAA Class" TEXT, "IHSAA Class Football" TEXT, "County" TEXT, "Year Joined" FLOAT, "Previous Conference" TEXT)
| Which ISHAA school joined in 2012 and has a mascot of the panthers? | SELECT "IHSAA Class" FROM table_14229 WHERE "Year Joined" < '2012' AND "Mascot" = 'panthers' | SELECT "IHSAA Class" FROM "table_14229" WHERE "Mascot" = 'panthers' AND "Year Joined" < '2012' | 0.091797 |
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)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime 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 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 treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime 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)
| what were the five most frequently prescribed medications for the peptic ulcer disease female patients of the 30s during the same hospital encounter after they had been diagnosed with peptic ulcer disease? | SELECT t3.drugname FROM (SELECT t2.drugname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, diagnosis.diagnosistime, patient.patienthealthsystemstayid FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'peptic ulcer disease') AS t1 JOIN (SELECT patient.uniquepid, medication.drugname, medication.drugstarttime, patient.patienthealthsystemstayid FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE patient.gender = 'female' AND patient.age BETWEEN 30 AND 39) AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.diagnosistime < t2.drugstarttime AND t1.patienthealthsystemstayid = t2.patienthealthsystemstayid GROUP BY t2.drugname) AS t3 WHERE t3.c1 <= 5 | WITH "t2" AS (SELECT "patient"."uniquepid", "medication"."drugname", "medication"."drugstarttime", "patient"."patienthealthsystemstayid" FROM "medication" JOIN "patient" ON "medication"."patientunitstayid" = "patient"."patientunitstayid" AND "patient"."age" <= 39 AND "patient"."age" >= 30 AND "patient"."gender" = 'female'), "t3" AS (SELECT "t2"."drugname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" JOIN "t2" AS "t2" ON "diagnosis"."diagnosistime" < "t2"."drugstarttime" AND "patient"."patienthealthsystemstayid" = "t2"."patienthealthsystemstayid" AND "patient"."uniquepid" = "t2"."uniquepid" WHERE "diagnosis"."diagnosisname" = 'peptic ulcer disease' GROUP BY "t2"."drugname") SELECT "t3"."drugname" FROM "t3" AS "t3" WHERE "t3"."c1" <= 5 | 0.839844 |
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label 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 chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_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 d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
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)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
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_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 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)
| what are the five most frequently prescribed medications within the same month to the patients aged 30s after they have been diagnosed with chf nos during the last year? | SELECT t3.drug FROM (SELECT t2.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 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 = 'chf nos') AND DATETIME(diagnoses_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) AS t1 JOIN (SELECT admissions.subject_id, prescriptions.drug, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE admissions.age BETWEEN 30 AND 39 AND DATETIME(prescriptions.startdate, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.startdate AND DATETIME(t1.charttime, 'start of month') = DATETIME(t2.startdate, 'start of month') GROUP BY t2.drug) AS t3 WHERE t3.c1 <= 5 | WITH "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."drug", "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."age" <= 39 AND "admissions"."age" >= 30 AND "admissions"."hadm_id" = "prescriptions"."hadm_id" WHERE DATETIME("prescriptions"."startdate", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')), "t3" AS (SELECT "t2"."drug", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'chf nos' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" JOIN "t2" AS "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND "diagnoses_icd"."charttime" < "t2"."startdate" AND DATETIME("diagnoses_icd"."charttime", 'start of month') = DATETIME("t2"."startdate", 'start of month') WHERE DATETIME("diagnoses_icd"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') GROUP BY "t2"."drug") SELECT "t3"."drug" FROM "t3" AS "t3" WHERE "t3"."c1" <= 5 | 1.081055 |
CREATE TABLE table_name_61 (sample_size VARCHAR, poll_source VARCHAR, date_s__administered VARCHAR)
| How many people participated in the Rasmussen Reports poll on October 13, 2010? | SELECT sample_size FROM table_name_61 WHERE poll_source = "rasmussen reports" AND date_s__administered = "october 13, 2010" | SELECT "sample_size" FROM "table_name_61" WHERE "date_s__administered" = "october 13, 2010" AND "poll_source" = "rasmussen reports" | 0.12793 |
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange 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 ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
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 PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense 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 ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description 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 ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE 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 PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description 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 PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
| Days with at least one comment by MathOverflow moderators. | SELECT DATE(c.CreationDate) FROM Users AS u INNER JOIN Comments AS c ON c.UserId = u.Id WHERE u.Id IN (2, 3, 66, 121, 1409, 2000, 2926) GROUP BY DATE(c.CreationDate) ORDER BY DATE(c.CreationDate) DESC | SELECT CAST("c"."CreationDate" AS DATE) FROM "Users" AS "u" JOIN "Comments" AS "c" ON "c"."UserId" = "u"."Id" WHERE "u"."Id" IN (2, 3, 66, 121, 1409, 2000, 2926) GROUP BY CAST("c"."CreationDate" AS DATE) ORDER BY CAST("c"."CreationDate" AS DATE) DESC NULLS LAST | 0.254883 |
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
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 gsi (course_offering_id INT, student_id 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 program_course (program_id INT, course_id INT, workload INT, category 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 comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
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 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 offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college 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 semester (semester_id INT, semester VARCHAR, year INT)
| Are there certain courses that are useful before taking ORALHEAL 811 ? | SELECT DISTINCT advisory_requirement FROM course WHERE department = 'ORALHEAL' AND number = 811 | SELECT DISTINCT "advisory_requirement" FROM "course" WHERE "department" = 'ORALHEAL' AND "number" = 811 | 0.100586 |
CREATE TABLE table_33887 ("Game" FLOAT, "Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Series" TEXT)
| What score has may 9 as the date? | SELECT "Score" FROM table_33887 WHERE "Date" = 'may 9' | SELECT "Score" FROM "table_33887" WHERE "Date" = 'may 9' | 0.054688 |
CREATE TABLE table_name_31 (crowd INT, home_team VARCHAR)
| What is the average crowd when the home team is north melbourne? | SELECT AVG(crowd) FROM table_name_31 WHERE home_team = "north melbourne" | SELECT AVG("crowd") FROM "table_name_31" WHERE "home_team" = "north melbourne" | 0.076172 |
CREATE TABLE table_name_78 (actor_in_london VARCHAR, _2002 VARCHAR, shipwreck VARCHAR)
| Who was the actor in London in 2002 with the shipwreck of Leonty Ibayev? | SELECT actor_in_london, _2002 FROM table_name_78 WHERE shipwreck = "leonty ibayev" | SELECT "actor_in_london", "_2002" FROM "table_name_78" WHERE "leonty ibayev" = "shipwreck" | 0.087891 |
CREATE TABLE table_203_798 (id DECIMAL, "party" TEXT, "votes" TEXT, "%" DECIMAL, "swing" DECIMAL, "seats" DECIMAL, "change" DECIMAL)
| did the australian labor part get more votes than the independent party ? | SELECT (SELECT "%" FROM table_203_798 WHERE "party" = 'australian labor party') > (SELECT "%" FROM table_203_798 WHERE "party" = 'independent') | SELECT (SELECT "%" FROM "table_203_798" WHERE "party" = 'australian labor party') > (SELECT "%" FROM "table_203_798" WHERE "party" = 'independent') | 0.143555 |
CREATE TABLE table_name_59 (engine VARCHAR, entrant VARCHAR)
| Name the engine with entrant of larrousse f1 | SELECT engine FROM table_name_59 WHERE entrant = "larrousse f1" | SELECT "engine" FROM "table_name_59" WHERE "entrant" = "larrousse f1" | 0.067383 |
CREATE TABLE table_name_60 (ground VARCHAR, date VARCHAR)
| On what ground was the game on 31 Jul 2007? | SELECT ground FROM table_name_60 WHERE date = "31 jul 2007" | SELECT "ground" FROM "table_name_60" WHERE "31 jul 2007" = "date" | 0.063477 |
CREATE TABLE table_9932 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Ground" TEXT, "Crowd" FLOAT, "Date" TEXT)
| Who was the away team that scored 12.10 (82)? | SELECT "Away team" FROM table_9932 WHERE "Away team score" = '12.10 (82)' | SELECT "Away team" FROM "table_9932" WHERE "Away team score" = '12.10 (82)' | 0.073242 |
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_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE 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 outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE 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 labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom 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 d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
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 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 d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
| what were the five drugs that were ordered the most frequently until 2 years ago? | SELECT t1.drug FROM (SELECT prescriptions.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM prescriptions WHERE DATETIME(prescriptions.startdate) <= DATETIME(CURRENT_TIME(), '-2 year') GROUP BY prescriptions.drug) AS t1 WHERE t1.c1 <= 5 | WITH "t1" AS (SELECT "prescriptions"."drug", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "prescriptions" WHERE DATETIME("prescriptions"."startdate") <= DATETIME(CURRENT_TIME(), '-2 year') GROUP BY "prescriptions"."drug") SELECT "t1"."drug" FROM "t1" AS "t1" WHERE "t1"."c1" <= 5 | 0.293945 |
CREATE TABLE table_name_24 (constructor VARCHAR, driver VARCHAR)
| Tell me the constructor for clay regazzoni | SELECT constructor FROM table_name_24 WHERE driver = "clay regazzoni" | SELECT "constructor" FROM "table_name_24" WHERE "clay regazzoni" = "driver" | 0.073242 |
CREATE TABLE table_20783 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT, "Production code" TEXT)
| what is the latest episode in season 2 directed by jamie babbit? | SELECT MAX("No. in season") FROM table_20783 WHERE "Directed by" = 'Jamie Babbit' | SELECT MAX("No. in season") FROM "table_20783" WHERE "Directed by" = 'Jamie Babbit' | 0.081055 |
CREATE TABLE table_name_85 (score VARCHAR, surface VARCHAR, opponent_in_the_final VARCHAR)
| What was the score of the match that was a played on a hard surface against Peter Gojowczyk? | SELECT score FROM table_name_85 WHERE surface = "hard" AND opponent_in_the_final = "peter gojowczyk" | SELECT "score" FROM "table_name_85" WHERE "hard" = "surface" AND "opponent_in_the_final" = "peter gojowczyk" | 0.105469 |
CREATE TABLE table_name_6 (wrestler VARCHAR, elimination VARCHAR)
| Who's the wrestler with an elimination of 1? | SELECT wrestler FROM table_name_6 WHERE elimination = "1" | SELECT "wrestler" FROM "table_name_6" WHERE "1" = "elimination" | 0.061523 |
CREATE TABLE table_4466 ("Round" FLOAT, "Track" TEXT, "Date" TEXT, "Pole Position" TEXT, "Fastest Lap" TEXT, "Winner" TEXT, "Team" TEXT)
| Before round 9, when Takashi Kogure held pole position, who was the team? | SELECT "Team" FROM table_4466 WHERE "Round" < '9' AND "Pole Position" = 'takashi kogure' | SELECT "Team" FROM "table_4466" WHERE "Pole Position" = 'takashi kogure' AND "Round" < '9' | 0.087891 |
CREATE TABLE table_name_39 (score VARCHAR, date VARCHAR)
| What was the score on 14 march 2004? | SELECT score FROM table_name_39 WHERE date = "14 march 2004" | SELECT "score" FROM "table_name_39" WHERE "14 march 2004" = "date" | 0.064453 |
CREATE TABLE table_19915 ("Series Ep." TEXT, "Episode" FLOAT, "Netflix" TEXT, "Segment A" TEXT, "Segment B" TEXT, "Segment C" TEXT, "Segment D" TEXT)
| Whats the name of segment D in the episode where segment A is tequila | SELECT "Segment D" FROM table_19915 WHERE "Segment A" = 'Tequila' | SELECT "Segment D" FROM "table_19915" WHERE "Segment A" = 'Tequila' | 0.06543 |
CREATE TABLE table_27622417_1 (written_by VARCHAR, prod_code VARCHAR)
| who were the writers in the episode whose production code was 411? | SELECT written_by FROM table_27622417_1 WHERE prod_code = "411" | SELECT "written_by" FROM "table_27622417_1" WHERE "411" = "prod_code" | 0.067383 |
CREATE TABLE status (station_id DECIMAL, bikes_available DECIMAL, docks_available DECIMAL, time TEXT)
CREATE TABLE station (id DECIMAL, name TEXT, lat DECIMAL, long DECIMAL, dock_count DECIMAL, city TEXT, installation_date TEXT)
CREATE TABLE trip (id DECIMAL, duration DECIMAL, start_date TEXT, start_station_name TEXT, start_station_id DECIMAL, end_date TEXT, end_station_name TEXT, end_station_id DECIMAL, bike_id DECIMAL, subscription_type TEXT, zip_code DECIMAL)
CREATE TABLE weather (date TEXT, max_temperature_f DECIMAL, mean_temperature_f DECIMAL, min_temperature_f DECIMAL, max_dew_point_f DECIMAL, mean_dew_point_f DECIMAL, min_dew_point_f DECIMAL, max_humidity DECIMAL, mean_humidity DECIMAL, min_humidity DECIMAL, max_sea_level_pressure_inches DECIMAL, mean_sea_level_pressure_inches DECIMAL, min_sea_level_pressure_inches DECIMAL, max_visibility_miles DECIMAL, mean_visibility_miles DECIMAL, min_visibility_miles DECIMAL, max_wind_speed_mph DECIMAL, mean_wind_speed_mph DECIMAL, max_gust_speed_mph DECIMAL, precipitation_inches DECIMAL, cloud_cover DECIMAL, events TEXT, wind_dir_degrees DECIMAL, zip_code DECIMAL)
| Give me the start station and end station for the trips with the three oldest id. | SELECT start_station_name, end_station_name FROM trip ORDER BY id LIMIT 3 | SELECT "start_station_name", "end_station_name" FROM "trip" ORDER BY "id" NULLS FIRST LIMIT 3 | 0.09082 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE 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)
| give me the number of patients whose language is engl and diagnoses long title is chronic total occlusion of coronary artery? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.language = "ENGL" AND diagnoses.long_title = "Chronic total occlusion of coronary artery" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Chronic total occlusion of coronary artery" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "ENGL" = "demographic"."language" | 0.246094 |
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
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 month (month_number INT, month_name TEXT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant 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 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 time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
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 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 ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare 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 date_day (month_number INT, day_number INT, year INT, day_name 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 city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_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 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)
| what is the latest flight from SAN FRANCISCO to WASHINGTON | 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 = 'SAN FRANCISCO' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'WASHINGTON' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND flight.departure_time = (SELECT MAX(FLIGHTalias1.departure_time) FROM airport_service AS AIRPORT_SERVICEalias2, airport_service AS AIRPORT_SERVICEalias3, city AS CITYalias2, city AS CITYalias3, flight AS FLIGHTalias1 WHERE CITYalias2.city_code = AIRPORT_SERVICEalias2.city_code AND CITYalias2.city_name = 'SAN FRANCISCO' AND CITYalias3.city_code = AIRPORT_SERVICEalias3.city_code AND CITYalias3.city_name = 'WASHINGTON' AND FLIGHTalias1.from_airport = AIRPORT_SERVICEalias2.airport_code AND FLIGHTalias1.to_airport = AIRPORT_SERVICEalias3.airport_code) | WITH "_u_0" AS (SELECT MAX("FLIGHTalias1"."departure_time") FROM "airport_service" AS "AIRPORT_SERVICEalias2" JOIN "city" AS "CITYalias2" ON "AIRPORT_SERVICEalias2"."city_code" = "CITYalias2"."city_code" AND "CITYalias2"."city_name" = 'SAN FRANCISCO' 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 "city" AS "CITYalias3" ON "AIRPORT_SERVICEalias3"."city_code" = "CITYalias3"."city_code" AND "CITYalias3"."city_name" = 'WASHINGTON') 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" = 'SAN FRANCISCO' 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 "_u_0" AS "_u_0" ON "_u_0"."" = "flight"."departure_time" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'WASHINGTON' | 1.167969 |
CREATE TABLE table_48952 ("Date" TEXT, "Venue" TEXT, "Opponents" TEXT, "Score" TEXT, "Round" TEXT, "Djurg\\u00e5rden scorers" TEXT, "Attendance" TEXT)
| What are the Opponents that have Djurg rden scorers of sj lund (2)? | SELECT "Opponents" FROM table_48952 WHERE "Djurg\u00e5rden scorers" = 'sjölund (2)' | SELECT "Opponents" FROM "table_48952" WHERE "Djurg\u00e5rden scorers" = 'sjölund (2)' | 0.083008 |
CREATE TABLE table_3524 ("Week #" TEXT, "Theme" TEXT, "Song choice" TEXT, "Original artist" TEXT, "Order #" TEXT, "Result" TEXT)
| What song was used resulting in the bottom 3? | SELECT "Song choice" FROM table_3524 WHERE "Result" = 'Bottom 3' | SELECT "Song choice" FROM "table_3524" WHERE "Result" = 'Bottom 3' | 0.064453 |
CREATE TABLE table_64015 ("Rank" FLOAT, "Athlete" TEXT, "Country" TEXT, "Time" TEXT, "Notes" TEXT)
| What time has q as the notes, and Australia as the country? | SELECT "Time" FROM table_64015 WHERE "Notes" = 'q' AND "Country" = 'australia' | SELECT "Time" FROM "table_64015" WHERE "Country" = 'australia' AND "Notes" = 'q' | 0.078125 |
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 record (ID INT, Result TEXT, Swimmer_ID INT, Event_ID 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)
| Bar chart x axis meter 600 y axis id, order by the ID from high to low. | SELECT meter_600, ID FROM swimmer ORDER BY ID DESC | SELECT "meter_600", "ID" FROM "swimmer" ORDER BY "ID" DESC NULLS LAST | 0.067383 |
CREATE TABLE table_name_83 (try_bonus VARCHAR, played VARCHAR, points_for VARCHAR)
| What try bonus has 18 as the played of and 204 as the points? | SELECT try_bonus FROM table_name_83 WHERE played = "18" AND points_for = "204" | SELECT "try_bonus" FROM "table_name_83" WHERE "18" = "played" AND "204" = "points_for" | 0.083984 |
CREATE TABLE table_204_443 (id DECIMAL, "week" DECIMAL, "date" TEXT, "opponent" TEXT, "result" TEXT, "game site" TEXT, "attendance" DECIMAL, "bye" TEXT)
| how many games were played at the meadowlands ? | SELECT COUNT(*) FROM table_204_443 WHERE "game site" = 'the meadowlands' | SELECT COUNT(*) FROM "table_204_443" WHERE "game site" = 'the meadowlands' | 0.072266 |
CREATE TABLE train (Train_ID INT, Name TEXT, Time TEXT, Service TEXT)
CREATE TABLE station (Station_ID INT, Name TEXT, Annual_entry_exit FLOAT, Annual_interchanges FLOAT, Total_Passengers FLOAT, Location TEXT, Main_Services TEXT, Number_of_Platforms INT)
CREATE TABLE train_station (Train_ID INT, Station_ID INT)
| Show the total number of passengers of each location in a bar chart, and display in asc by the x-axis. | SELECT Location, SUM(Total_Passengers) FROM station GROUP BY Location ORDER BY Location | SELECT "Location", SUM("Total_Passengers") FROM "station" GROUP BY "Location" ORDER BY "Location" NULLS FIRST | 0.106445 |
CREATE TABLE table_42101 ("Ecozone" TEXT, "Area ( km\\u00b2 ) Territorial waters" FLOAT, "Area ( km\\u00b2 ) Exclusive Economic Zone" FLOAT, "Percentage of total area ( forEEZ ) " FLOAT, "Percentage of marine area ( forEEZ ) " FLOAT)
| What is the average percentage of total area when the percentage of marine area is more than 39.3 and territorial waters area is less than 2,788,349? | SELECT AVG("Percentage of total area (forEEZ)") FROM table_42101 WHERE "Percentage of marine area (forEEZ)" > '39.3' AND "Area (km\u00b2) Territorial waters" < '2,788,349' | SELECT AVG("Percentage of total area (forEEZ)") FROM "table_42101" WHERE "Area (km\u00b2) Territorial waters" < '2,788,349' AND "Percentage of marine area (forEEZ)" > '39.3' | 0.168945 |
CREATE TABLE table_69821 ("Cyclist" TEXT, "Nation" TEXT, "Team" TEXT, "Time" TEXT, "UCI Points" FLOAT)
| What is the nation of the person who was from the CSC team? | SELECT "Nation" FROM table_69821 WHERE "Team" = 'csc' | SELECT "Nation" FROM "table_69821" WHERE "Team" = 'csc' | 0.053711 |
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)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
| how many female patients were given the drug phenytoin sodium? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.gender = "F" AND prescriptions.drug = "Phenytoin Sodium" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Phenytoin Sodium" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "F" = "demographic"."gender" | 0.22168 |
CREATE TABLE table_name_63 (record VARCHAR, time VARCHAR)
| What is the record with a 3:56 time? | SELECT record FROM table_name_63 WHERE time = "3:56" | SELECT "record" FROM "table_name_63" WHERE "3:56" = "time" | 0.056641 |
CREATE TABLE table_name_45 (rank VARCHAR, third_quarter VARCHAR)
| When the third quarter is China Mobile 195,680.4, what is the rank? | SELECT rank FROM table_name_45 WHERE third_quarter = "china mobile 195,680.4" | SELECT "rank" FROM "table_name_45" WHERE "china mobile 195,680.4" = "third_quarter" | 0.081055 |
CREATE TABLE status (station_id INT, bikes_available INT, docks_available INT, time TEXT)
CREATE TABLE trip (id INT, duration INT, start_date TEXT, start_station_name TEXT, start_station_id INT, end_date TEXT, end_station_name TEXT, end_station_id INT, bike_id INT, subscription_type TEXT, zip_code INT)
CREATE TABLE station (id INT, name TEXT, lat DECIMAL, long DECIMAL, dock_count INT, city TEXT, installation_date TEXT)
CREATE TABLE weather (date TEXT, max_temperature_f INT, mean_temperature_f INT, min_temperature_f INT, max_dew_point_f INT, mean_dew_point_f INT, min_dew_point_f INT, max_humidity INT, mean_humidity INT, min_humidity INT, max_sea_level_pressure_inches DECIMAL, mean_sea_level_pressure_inches DECIMAL, min_sea_level_pressure_inches DECIMAL, max_visibility_miles INT, mean_visibility_miles INT, min_visibility_miles INT, max_wind_Speed_mph INT, mean_wind_speed_mph INT, max_gust_speed_mph INT, precipitation_inches INT, cloud_cover INT, events TEXT, wind_dir_degrees INT, zip_code INT)
| For dates had a minimum dew point smaller than any day in zip code 94107, show the total number of such days for each year using a bar chart, I want to rank Y from high to low order. | SELECT date, COUNT(date) FROM weather WHERE min_dew_point_f < (SELECT MIN(min_dew_point_f) FROM weather WHERE zip_code = 94107) ORDER BY COUNT(date) DESC | SELECT "date", COUNT("date") FROM "weather" WHERE "min_dew_point_f" < (SELECT MIN("min_dew_point_f") FROM "weather" WHERE "zip_code" = 94107) ORDER BY COUNT("date") DESC NULLS LAST | 0.175781 |
CREATE TABLE table_name_17 (finish VARCHAR, year VARCHAR)
| What is the finish in 1956? | SELECT finish FROM table_name_17 WHERE year = "1956" | SELECT "finish" FROM "table_name_17" WHERE "1956" = "year" | 0.056641 |
CREATE TABLE route (train_id INT, station_id INT)
CREATE TABLE station (id INT, network_name TEXT, services TEXT, local_authority TEXT)
CREATE TABLE weekly_weather (station_id INT, day_of_week TEXT, high_temperature INT, low_temperature INT, precipitation FLOAT, wind_speed_mph INT)
CREATE TABLE train (id INT, train_number INT, name TEXT, origin TEXT, destination TEXT, time TEXT, interval TEXT)
| A bar graph listing the services and how many services provided by all stations, list in desc by the x axis. | SELECT services, COUNT(services) FROM station GROUP BY services ORDER BY services DESC | SELECT "services", COUNT("services") FROM "station" GROUP BY "services" ORDER BY "services" DESC NULLS LAST | 0.104492 |
CREATE TABLE table_68228 ("Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Loss" TEXT, "Record" TEXT)
| Which opponent has a Record of 54-38? | SELECT "Opponent" FROM table_68228 WHERE "Record" = '54-38' | SELECT "Opponent" FROM "table_68228" WHERE "Record" = '54-38' | 0.05957 |
CREATE TABLE table_25778 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Record" TEXT)
| What is every record for the team Boston? | SELECT "Record" FROM table_25778 WHERE "Team" = 'Boston' | SELECT "Record" FROM "table_25778" WHERE "Team" = 'Boston' | 0.056641 |
CREATE TABLE PersonFriend (name VARCHAR, friend VARCHAR, year INT)
CREATE TABLE Person (name VARCHAR, age INT, city TEXT, gender TEXT, job TEXT)
| What is minimum age for different job title, and show in asc by the y-axis please. | SELECT job, MIN(age) FROM Person GROUP BY job ORDER BY MIN(age) | SELECT "job", MIN("age") FROM "Person" GROUP BY "job" ORDER BY MIN("age") NULLS FIRST | 0.083008 |
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 the sum of price over the name , and group by attribute name by a bar chart, and rank by the y axis from low to high. | SELECT T2.Name, T1.Price FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Name ORDER BY T1.Price | SELECT "T2"."Name", "T1"."Price" FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T2"."Name" ORDER BY "T1"."Price" NULLS FIRST | 0.172852 |
CREATE TABLE race (Race_ID INT, Name TEXT, Class TEXT, Date TEXT, Track_ID TEXT)
CREATE TABLE track (Track_ID INT, Name TEXT, Location TEXT, Seating FLOAT, Year_Opened FLOAT)
| Show the name of track and the number of races in each track by a bar chart, and I want to rank by the bars in descending. | SELECT T2.Name, COUNT(*) FROM race AS T1 JOIN track AS T2 ON T1.Track_ID = T2.Track_ID GROUP BY T1.Track_ID ORDER BY T2.Name DESC | SELECT "T2"."Name", COUNT(*) FROM "race" AS "T1" JOIN "track" AS "T2" ON "T1"."Track_ID" = "T2"."Track_ID" GROUP BY "T1"."Track_ID" ORDER BY "T2"."Name" DESC NULLS LAST | 0.164063 |
CREATE TABLE table_36698 ("Game" TEXT, "Date" TEXT, "Home Team" TEXT, "Result" TEXT, "Road Team" TEXT, "TV Time" TEXT)
| Who was the home team on June 9? | SELECT "Home Team" FROM table_36698 WHERE "Date" = 'june 9' | SELECT "Home Team" FROM "table_36698" WHERE "Date" = 'june 9' | 0.05957 |
CREATE TABLE table_name_70 (date VARCHAR, format VARCHAR)
| Which date is in CD format? | SELECT date FROM table_name_70 WHERE format = "cd" | SELECT "date" FROM "table_name_70" WHERE "cd" = "format" | 0.054688 |
CREATE TABLE table_31795 ("Rank" FLOAT, "Nation" TEXT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| How man values for bronze occur when gold is less than 1, rank is greater than 15, and total is greater than 1? | SELECT COUNT("Bronze") FROM table_31795 WHERE "Gold" < '1' AND "Rank" > '15' AND "Total" > '1' | SELECT COUNT("Bronze") FROM "table_31795" WHERE "Gold" < '1' AND "Rank" > '15' AND "Total" > '1' | 0.09375 |
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 lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| how many patients whose ethnicity is black/african american and year of birth is less than 2023? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "BLACK/AFRICAN AMERICAN" AND demographic.dob_year < "2023" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2023" > "demographic"."dob_year" AND "BLACK/AFRICAN AMERICAN" = "demographic"."ethnicity" | 0.161133 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
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 lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
| how many patients whose age is less than 85 and procedure long title is other diagnostic procedures on skin and subcutaneous tissue? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.age < "85" AND procedures.long_title = "Other diagnostic procedures on skin and subcutaneous tissue" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Other diagnostic procedures on skin and subcutaneous tissue" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "85" > "demographic"."age" | 0.258789 |
CREATE TABLE code_description (code VARCHAR, description TEXT)
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 ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare 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 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 equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code 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 state (state_code TEXT, state_name TEXT, country_name TEXT)
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 city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE 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 date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
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 time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
| what flights from ST. PAUL to KANSAS CITY on friday with BREAKFAST served | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day, days, flight, food_service WHERE ((date_day.day_number = 25 AND date_day.month_number = 6 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code AND food_service.meal_code = flight.meal_code AND food_service.meal_description = 'BREAKFAST') AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'KANSAS CITY' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'ST. PAUL' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 25 AND "date_day"."month_number" = 6 AND "date_day"."year" = 1991 JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'ST. PAUL' JOIN "days" ON "date_day"."day_name" = "days"."day_name" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "days"."days_code" = "flight"."flight_days" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "food_service" ON "flight"."meal_code" = "food_service"."meal_code" AND "food_service"."meal_description" = 'BREAKFAST' JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'KANSAS CITY' | 0.832031 |
CREATE TABLE table_name_34 (tie_no VARCHAR, away_team VARCHAR)
| What is the Tie number of when Wigan Athletic was the away team? | SELECT tie_no FROM table_name_34 WHERE away_team = "wigan athletic" | SELECT "tie_no" FROM "table_name_34" WHERE "away_team" = "wigan athletic" | 0.071289 |
CREATE TABLE Student (StuID INT, LName VARCHAR, Fname VARCHAR, Age INT, Sex VARCHAR, Major INT, Advisor INT, city_code VARCHAR)
CREATE TABLE Lives_in (stuid INT, dormid INT, room_number INT)
CREATE TABLE Has_amenity (dormid INT, amenid INT)
CREATE TABLE Dorm_amenity (amenid INT, amenity_name VARCHAR)
CREATE TABLE Dorm (dormid INT, dorm_name VARCHAR, student_capacity INT, gender VARCHAR)
| A bar chart about what is the average age for each city and what are those cities?, and order from high to low by the x axis. | SELECT city_code, AVG(Age) FROM Student GROUP BY city_code ORDER BY city_code DESC | SELECT "city_code", AVG("Age") FROM "Student" GROUP BY "city_code" ORDER BY "city_code" DESC NULLS LAST | 0.100586 |
CREATE TABLE table_204_959 (id DECIMAL, "club" TEXT, "founded" DECIMAL, "nickname" TEXT, "location" TEXT, "home ground" TEXT, "entered competition" DECIMAL, "most recent promotion" DECIMAL)
| who was the first division 1 team to enter competition ? | SELECT "club" FROM table_204_959 WHERE "entered competition" = (SELECT MIN("entered competition") FROM table_204_959) | SELECT "club" FROM "table_204_959" WHERE "entered competition" = (SELECT MIN("entered competition") FROM "table_204_959") | 0.118164 |
CREATE TABLE table_57835 ("Round" FLOAT, "Player" TEXT, "Position" TEXT, "Nationality" TEXT, "College/Junior/Club Team ( League ) " TEXT)
| What is the nationality of the player with a round after 4 and plays right wing? | SELECT "Nationality" FROM table_57835 WHERE "Round" > '4' AND "Position" = 'right wing' | SELECT "Nationality" FROM "table_57835" WHERE "Position" = 'right wing' AND "Round" > '4' | 0.086914 |
CREATE TABLE table_name_34 (in_de_creased_by INT, percentage_in_de_crease VARCHAR, seats_2010 VARCHAR)
| Name the highest In/de-creased which has a Percentage in/de-crease of 100%, and Seats 2010 larger than 8? | SELECT MAX(in_de_creased_by) FROM table_name_34 WHERE percentage_in_de_crease = "100%" AND seats_2010 > 8 | SELECT MAX("in_de_creased_by") FROM "table_name_34" WHERE "100%" = "percentage_in_de_crease" AND "seats_2010" > 8 | 0.110352 |
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE 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 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 date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
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 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 ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare 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 airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE month (month_number INT, month_name TEXT)
| what is fare code FN | SELECT DISTINCT fare_basis_code FROM fare_basis WHERE fare_basis_code = 'FN' | SELECT DISTINCT "fare_basis_code" FROM "fare_basis" WHERE "fare_basis_code" = 'FN' | 0.080078 |
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 d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title 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 d_labitems (row_id DECIMAL, itemid DECIMAL, label 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 diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom 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 inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount 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 prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
| tell me patient 10624's minimum bands value this month? | SELECT MIN(labevents.valuenum) FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 10624) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'bands') AND DATETIME(labevents.charttime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 10624 GROUP BY "hadm_id"), "_u_1" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'bands' GROUP BY "itemid") SELECT MIN("labevents"."valuenum") FROM "labevents" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "labevents"."hadm_id" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "labevents"."itemid" WHERE DATETIME("labevents"."charttime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') AND NOT "_u_0"."" IS NULL AND NOT "_u_1"."" IS NULL | 0.570313 |
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 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 had the lab test item id 51257 and had their lab test status abnormal? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE lab.itemid = "51257" AND lab.flag = "abnormal" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "51257" = "lab"."itemid" AND "abnormal" = "lab"."flag" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.178711 |
CREATE TABLE table_72798 ("Pick #" FLOAT, "CFL Team" TEXT, "Player" TEXT, "Position" TEXT, "College" TEXT)
| How many pick numbers did Michael Giffin have? | SELECT COUNT("Pick #") FROM table_72798 WHERE "Player" = 'Michael Giffin' | SELECT COUNT("Pick #") FROM "table_72798" WHERE "Player" = 'Michael Giffin' | 0.073242 |
CREATE TABLE table_2221374_3 (original_air_date VARCHAR, directed_by VARCHAR, production_code VARCHAR)
| What date was the episode originally aired that was directed by James Widdoes and the production code is 320? | SELECT original_air_date FROM table_2221374_3 WHERE directed_by = "James Widdoes" AND production_code = 320 | SELECT "original_air_date" FROM "table_2221374_3" WHERE "James Widdoes" = "directed_by" AND "production_code" = 320 | 0.112305 |
CREATE TABLE table_20656 ("Year" TEXT, "Total matches" FLOAT, "Total W-L-H" TEXT, "Singles W-L-H" TEXT, "Foursomes W-L-H" TEXT, "Fourballs W-L-H" TEXT, "Points won" TEXT, "Points %" TEXT)
| When the foursome was w-l-h is 1 0 0 won w/ p. creamer 3&2, what was the points %? | SELECT "Points %" FROM table_20656 WHERE "Foursomes W-L-H" = '1–0–0 won w/ P. Creamer 3&2' | SELECT "Points %" FROM "table_20656" WHERE "Foursomes W-L-H" = '1–0–0 won w/ P. Creamer 3&2' | 0.089844 |
CREATE TABLE table_17798093_20 (examples VARCHAR, australian VARCHAR)
| which examples are pronounced et in australian | SELECT examples FROM table_17798093_20 WHERE australian = "et" | SELECT "examples" FROM "table_17798093_20" WHERE "australian" = "et" | 0.066406 |
CREATE TABLE table_name_23 (player_name VARCHAR, matches VARCHAR)
| Name the player name with matches of 51 | SELECT player_name FROM table_name_23 WHERE matches = "51" | SELECT "player_name" FROM "table_name_23" WHERE "51" = "matches" | 0.0625 |
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY 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 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 regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_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, visualize a bar chart about the distribution of job_id and the sum of manager_id , and group by attribute job_id, order by the y-axis from low to high. | SELECT JOB_ID, SUM(MANAGER_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID ORDER BY SUM(MANAGER_ID) | SELECT "JOB_ID", SUM("MANAGER_ID") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' GROUP BY "JOB_ID" ORDER BY SUM("MANAGER_ID") NULLS FIRST | 0.161133 |
CREATE TABLE table_38680 ("Position" TEXT, "Number" FLOAT, "Name" TEXT, "Height" TEXT, "Weight" TEXT, "Class" TEXT, "Hometown" TEXT, "Games\\u2191" FLOAT)
| What is Ashton Cobb's class in Game 2? | SELECT "Class" FROM table_38680 WHERE "Games\u2191" = '2' AND "Name" = 'ashton cobb' | SELECT "Class" FROM "table_38680" WHERE "Games\u2191" = '2' AND "Name" = 'ashton cobb' | 0.083984 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE 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)
| provide the number of patients whose insurance is private and procedure icd9 code is 8852? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Private" AND procedures.icd9_code = "8852" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "8852" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "Private" = "demographic"."insurance" | 0.214844 |
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 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 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)
| get me the type of admission and primary disease for which jonathan wiggins was admitted. | SELECT demographic.admission_type, demographic.diagnosis FROM demographic WHERE demographic.name = "Jonathan Wiggins" | SELECT "demographic"."admission_type", "demographic"."diagnosis" FROM "demographic" WHERE "Jonathan Wiggins" = "demographic"."name" | 0.12793 |
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 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)
| what is the minimum age of male patients who are of american indian/alaska native ethnicity? | SELECT MIN(demographic.age) FROM demographic WHERE demographic.gender = "M" AND demographic.ethnicity = "AMERICAN INDIAN/ALASKA NATIVE" | SELECT MIN("demographic"."age") FROM "demographic" WHERE "AMERICAN INDIAN/ALASKA NATIVE" = "demographic"."ethnicity" AND "M" = "demographic"."gender" | 0.145508 |
CREATE TABLE student_course_registrations (student_id DECIMAL, course_id DECIMAL, registration_date TIME)
CREATE TABLE candidate_assessments (candidate_id DECIMAL, qualification TEXT, assessment_date TIME, asessment_outcome_code TEXT)
CREATE TABLE student_course_attendance (student_id DECIMAL, course_id DECIMAL, date_of_attendance TIME)
CREATE TABLE people (person_id DECIMAL, first_name TEXT, middle_name TEXT, last_name TEXT, cell_mobile_number TEXT, email_address TEXT, login_name TEXT, password TEXT)
CREATE TABLE candidates (candidate_id DECIMAL, candidate_details TEXT)
CREATE TABLE students (student_id DECIMAL, student_details TEXT)
CREATE TABLE addresses (address_id DECIMAL, line_1 TEXT, line_2 TEXT, city TEXT, zip_postcode TEXT, state_province_county TEXT, country TEXT)
CREATE TABLE courses (course_id TEXT, course_name TEXT, course_description TEXT, other_details TEXT)
CREATE TABLE people_addresses (person_address_id DECIMAL, person_id DECIMAL, address_id DECIMAL, date_from TIME, date_to TIME)
| Find id of the candidate whose email is [email protected]? | SELECT T2.candidate_id FROM people AS T1 JOIN candidates AS T2 ON T1.person_id = T2.candidate_id WHERE T1.email_address = "[email protected]" | SELECT "T2"."candidate_id" FROM "people" AS "T1" JOIN "candidates" AS "T2" ON "T1"."person_id" = "T2"."candidate_id" WHERE "T1"."email_address" = "[email protected]" | 0.170898 |
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_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 countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
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 regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
| For all employees who have the letters D or S in their first name, return a bar chart about the distribution of job_id and the sum of salary , and group by attribute job_id, could you list in descending by the JOB_ID? | SELECT JOB_ID, SUM(SALARY) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID ORDER BY JOB_ID DESC | SELECT "JOB_ID", SUM("SALARY") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' GROUP BY "JOB_ID" ORDER BY "JOB_ID" DESC NULLS LAST | 0.152344 |
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)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
| find the age and status of death for patient with patient id 8323. | SELECT demographic.age, demographic.expire_flag FROM demographic WHERE demographic.subject_id = "8323" | SELECT "demographic"."age", "demographic"."expire_flag" FROM "demographic" WHERE "8323" = "demographic"."subject_id" | 0.113281 |
CREATE TABLE table_15999 ("Nomination" TEXT, "Actors Name" TEXT, "Film Name" TEXT, "Director" TEXT, "Country" TEXT)
| What actor was nominted for an award in the film Anastasiya Slutskaya? | SELECT "Actors Name" FROM table_15999 WHERE "Film Name" = 'Anastasiya Slutskaya' | SELECT "Actors Name" FROM "table_15999" WHERE "Film Name" = 'Anastasiya Slutskaya' | 0.080078 |
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)
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 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)
| Let me know the number of patients categorized under a blood gas lab test. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE lab."CATEGORY" = "Blood Gas" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Blood Gas" = "lab"."CATEGORY" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.155273 |
CREATE TABLE table_204_743 (id DECIMAL, "pos" TEXT, "no" DECIMAL, "driver" TEXT, "constructor" TEXT, "laps" DECIMAL, "time/retired" TEXT, "grid" DECIMAL, "points" DECIMAL)
| what driver was last on the list ? | SELECT "driver" FROM table_204_743 ORDER BY id DESC LIMIT 1 | SELECT "driver" FROM "table_204_743" ORDER BY "id" DESC NULLS LAST LIMIT 1 | 0.072266 |
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)
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)
| provide the number of patients aged below 76 years whose language is spanish. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.language = "SPAN" AND demographic.age < "76" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "76" > "demographic"."age" AND "SPAN" = "demographic"."language" | 0.135742 |
CREATE TABLE table_29039942_1 (original_airdate VARCHAR, writer VARCHAR, director VARCHAR)
| What was the original airdate for the episode written by daisuke habara and directed by akimitsu sasaki | SELECT original_airdate FROM table_29039942_1 WHERE writer = "Daisuke Habara" AND director = "Akimitsu Sasaki" | SELECT "original_airdate" FROM "table_29039942_1" WHERE "Akimitsu Sasaki" = "director" AND "Daisuke Habara" = "writer" | 0.115234 |
CREATE TABLE table_name_29 (Id VARCHAR)
| What is 1992, when 1990 is 'Grand Slams'? | SELECT 1992 FROM table_name_29 WHERE 1990 = "grand slams" | SELECT 1992 FROM "table_name_29" WHERE "grand slams" = 1990 | 0.057617 |
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)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| give the number of patients who are black/cape verdean and drug code is csa50i. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.ethnicity = "BLACK/CAPE VERDEAN" AND prescriptions.formulary_drug_cd = "CSA50I" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "CSA50I" = "prescriptions"."formulary_drug_cd" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "BLACK/CAPE VERDEAN" = "demographic"."ethnicity" | 0.244141 |
CREATE TABLE table_7131 ("Television service" TEXT, "Country" TEXT, "Language" TEXT, "Content" TEXT, "HDTV" TEXT, "Package/Option" TEXT)
| What is the Language that has sky tg 24 active as the Television service? | SELECT "Language" FROM table_7131 WHERE "Television service" = 'sky tg 24 active' | SELECT "Language" FROM "table_7131" WHERE "Television service" = 'sky tg 24 active' | 0.081055 |
CREATE TABLE table_52930 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
| When did the home team score 19.17 (131)? | SELECT "Date" FROM table_52930 WHERE "Home team score" = '19.17 (131)' | SELECT "Date" FROM "table_52930" WHERE "Home team score" = '19.17 (131)' | 0.070313 |
CREATE TABLE table_202_232 (id DECIMAL, "institution" TEXT, "location" TEXT, "established" DECIMAL, "gained university status" DECIMAL, "vice-chancellor" TEXT, "total number of students" DECIMAL, "research funding ( \\u00a3 , 000 ) " DECIMAL)
| how many of the institutions are located in london ? | SELECT COUNT("institution") FROM table_202_232 WHERE "location" = 'london' | SELECT COUNT("institution") FROM "table_202_232" WHERE "location" = 'london' | 0.074219 |
CREATE TABLE table_39586 ("Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Loss" TEXT, "Attendance" TEXT, "Record" TEXT)
| For the game with 26,236 attendance, what was the record? | SELECT "Record" FROM table_39586 WHERE "Attendance" = '26,236' | SELECT "Record" FROM "table_39586" WHERE "Attendance" = '26,236' | 0.0625 |
Subsets and Splits