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CREATE TABLE table_204_299 (id DECIMAL, "name of place" TEXT, "number of counties" DECIMAL, "principal county" TEXT, "lower zip code" DECIMAL)
| how many total towns on the list are in montgomery county ? | SELECT COUNT(*) FROM table_204_299 WHERE "principal county" = 'montgomery county' | SELECT COUNT(*) FROM "table_204_299" WHERE "principal county" = 'montgomery county' | 0.081055 |
CREATE TABLE table_46375 ("Tournament" TEXT, "Surface" TEXT, "Week" TEXT, "Winner" TEXT, "Finalist" TEXT, "Semifinalists" TEXT)
| What is the Semifinalists that has a Tournament of Cincinnati? | SELECT "Semifinalists" FROM table_46375 WHERE "Tournament" = 'cincinnati' | SELECT "Semifinalists" FROM "table_46375" WHERE "Tournament" = 'cincinnati' | 0.073242 |
CREATE TABLE table_40124 ("University" TEXT, "Men's" FLOAT, "Women's" FLOAT, "Runner-up" FLOAT, "Total Championships" FLOAT)
| How many runner-ups does the university with more than 0 men's and less than 4 total championships have? | SELECT "Runner-up" FROM table_40124 WHERE "Men's" > '0' AND "Total Championships" < '4' | SELECT "Runner-up" FROM "table_40124" WHERE "Men's" > '0' AND "Total Championships" < '4' | 0.086914 |
CREATE TABLE table_2345558_1 (_number INT, us_viewers__millions_ VARCHAR)
| What is the number of the episode seen by 1.370 million people in the US? | SELECT MAX(_number) FROM table_2345558_1 WHERE us_viewers__millions_ = "1.370" | SELECT MAX("_number") FROM "table_2345558_1" WHERE "1.370" = "us_viewers__millions_" | 0.082031 |
CREATE TABLE table_47546 ("Game" FLOAT, "Date" FLOAT, "Opponent" TEXT, "Score" TEXT, "Decision" TEXT, "Location/Attendance" TEXT, "Record" TEXT)
| Who was the opponent for a game over 31 and a date over 30? | SELECT "Opponent" FROM table_47546 WHERE "Game" > '31' AND "Date" > '30' | SELECT "Opponent" FROM "table_47546" WHERE "Date" > '30' AND "Game" > '31' | 0.072266 |
CREATE TABLE Manufacturers (code VARCHAR)
CREATE TABLE products (manufacturer VARCHAR)
| Select all the data from the products and each product's manufacturer. | SELECT * FROM products AS T1 JOIN Manufacturers AS T2 ON T1.manufacturer = T2.code | SELECT * FROM "products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."manufacturer" = "T2"."code" | 0.095703 |
CREATE TABLE table_name_54 (Id VARCHAR)
| What is 2007, when 2003 is 1R? | SELECT 2007 FROM table_name_54 WHERE 2003 = "1r" | SELECT 2007 FROM "table_name_54" WHERE "1r" = 2003 | 0.048828 |
CREATE TABLE table_79548 ("Rank" FLOAT, "Rider" TEXT, "Team" TEXT, "Speed" TEXT, "Time" TEXT)
| What was the speed for the rider with a time of 1:14.15.64? | SELECT "Speed" FROM table_79548 WHERE "Time" = '1:14.15.64' | SELECT "Speed" FROM "table_79548" WHERE "Time" = '1:14.15.64' | 0.05957 |
CREATE TABLE table_79243 ("Year" FLOAT, "Winners" TEXT, "Runner-up" TEXT, "Third place" TEXT, "Fourth place" TEXT, "Best goalkeeper" TEXT, "Top goal scorer ( s ) " TEXT)
| Who were the winners in 1998? | SELECT "Winners" FROM table_79243 WHERE "Year" = '1998' | SELECT "Winners" FROM "table_79243" WHERE "Year" = '1998' | 0.055664 |
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod 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 outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE 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 cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost 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 d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE d_icd_procedures (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 microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
| how many patients had docusate sodium (liquid) prescriptions in the same hospital visit after being diagnosed with chf nos, the previous year? | SELECT COUNT(DISTINCT t1.subject_id) FROM (SELECT admissions.subject_id, diagnoses_icd.charttime, admissions.hadm_id FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = '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.startdate, admissions.hadm_id FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE prescriptions.drug = 'docusate sodium (liquid)' 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 t1.hadm_id = t2.hadm_id | WITH "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."startdate", "admissions"."hadm_id" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" WHERE "prescriptions"."drug" = 'docusate sodium (liquid)' AND DATETIME("prescriptions"."startdate", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) SELECT COUNT(DISTINCT "admissions"."subject_id") 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"."hadm_id" = "t2"."hadm_id" AND "admissions"."subject_id" = "t2"."subject_id" AND "diagnoses_icd"."charttime" < "t2"."startdate" WHERE DATETIME("diagnoses_icd"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') | 0.897461 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
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)
| How many patients with primary disease as rash, died in or before 2186? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "RASH" AND demographic.dod_year <= "2186.0" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2186.0" >= "demographic"."dod_year" AND "RASH" = "demographic"."diagnosis" | 0.146484 |
CREATE TABLE table_1342315_17 (district VARCHAR, incumbent VARCHAR)
| How many districts does riley joseph wilson? | SELECT COUNT(district) FROM table_1342315_17 WHERE incumbent = "Riley Joseph Wilson" | SELECT COUNT("district") FROM "table_1342315_17" WHERE "Riley Joseph Wilson" = "incumbent" | 0.087891 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
| how many of the patients had a lab test for bands? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE lab.label = "Bands" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Bands" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.148438 |
CREATE TABLE table_2560677_1 (writer VARCHAR, episode__number VARCHAR)
| How many writers where there for episode # 06? | SELECT COUNT(writer) FROM table_2560677_1 WHERE episode__number = "06" | SELECT COUNT("writer") FROM "table_2560677_1" WHERE "06" = "episode__number" | 0.074219 |
CREATE TABLE table_65789 ("Rank" FLOAT, "Summit" TEXT, "Country" TEXT, "Island" TEXT, "Col ( m ) " FLOAT)
| What's the lowest Col ranked less than 6 with an Island of Moloka i? | SELECT MIN("Col (m)") FROM table_65789 WHERE "Island" = 'island of molokaʻi' AND "Rank" < '6' | SELECT MIN("Col (m)") FROM "table_65789" WHERE "Island" = 'island of molokaʻi' AND "Rank" < '6' | 0.092773 |
CREATE TABLE table_name_99 (winter VARCHAR, year VARCHAR)
| What is the Winter in 1906? | SELECT winter FROM table_name_99 WHERE year = 1906 | SELECT "winter" FROM "table_name_99" WHERE "year" = 1906 | 0.054688 |
CREATE TABLE university (Enrollment INT)
| What is the maximum enrollment across all schools? | SELECT MAX(Enrollment) FROM university | SELECT MAX("Enrollment") FROM "university" | 0.041016 |
CREATE TABLE table_76828 ("Game" TEXT, "Date" TEXT, "Home Team" TEXT, "Result" TEXT, "Road Team" TEXT)
| WHAT IS THE HOME TEAM, RESULT 99-112? | SELECT "Home Team" FROM table_76828 WHERE "Result" = '99-112' | SELECT "Home Team" FROM "table_76828" WHERE "Result" = '99-112' | 0.061523 |
CREATE TABLE table_53018 ("Player" TEXT, "Rec." FLOAT, "Yards" FLOAT, "Avg." FLOAT, "TD's" FLOAT, "Long" FLOAT)
| How many receptions does Chris Watton with yards of less than 1? | SELECT COUNT("Rec.") FROM table_53018 WHERE "Player" = 'chris watton' AND "Yards" < '1' | SELECT COUNT("Rec.") FROM "table_53018" WHERE "Player" = 'chris watton' AND "Yards" < '1' | 0.086914 |
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label 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 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 procedures_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 d_icd_diagnoses (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 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 inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE 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)
| how many times has patient 55360 been at the intensive care unit on this hospital encounter? | SELECT COUNT(DISTINCT icustays.icustay_id) FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 55360 AND admissions.dischtime IS NULL) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."dischtime" IS NULL AND "admissions"."subject_id" = 55360 GROUP BY "hadm_id") SELECT COUNT(DISTINCT "icustays"."icustay_id") FROM "icustays" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL | 0.306641 |
CREATE TABLE table_47876 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Series" TEXT)
| What team played at the Boston Garden when the series was 1-0? | SELECT "Team" FROM table_47876 WHERE "Location Attendance" = 'boston garden' AND "Series" = '1-0' | SELECT "Team" FROM "table_47876" WHERE "Location Attendance" = 'boston garden' AND "Series" = '1-0' | 0.09668 |
CREATE TABLE table_33340 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
| What was the crowd size at Collingwood's match? | SELECT "Crowd" FROM table_33340 WHERE "Home team" = 'collingwood' | SELECT "Crowd" FROM "table_33340" WHERE "Home team" = 'collingwood' | 0.06543 |
CREATE TABLE table_name_50 (cuts_made INT, tournament VARCHAR, top_5 VARCHAR)
| What is the lowest Cuts made that has a Tournament of PGA Championship, and has a Top-5 that is smaller than 2? | SELECT MIN(cuts_made) FROM table_name_50 WHERE tournament = "pga championship" AND top_5 < 2 | SELECT MIN("cuts_made") FROM "table_name_50" WHERE "pga championship" = "tournament" AND "top_5" < 2 | 0.097656 |
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value 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 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 transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE 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)
| during this year what was the four most commonly ordered procedure for patients with 40s? | SELECT d_icd_procedures.short_title FROM d_icd_procedures WHERE d_icd_procedures.icd9_code IN (SELECT t1.icd9_code FROM (SELECT procedures_icd.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM procedures_icd WHERE procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.age BETWEEN 40 AND 49) AND DATETIME(procedures_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') GROUP BY procedures_icd.icd9_code) AS t1 WHERE t1.c1 <= 4) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."age" <= 49 AND "admissions"."age" >= 40 GROUP BY "hadm_id"), "t1" AS (SELECT "procedures_icd"."icd9_code", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "procedures_icd" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "procedures_icd"."hadm_id" WHERE DATETIME("procedures_icd"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "_u_0"."" IS NULL GROUP BY "procedures_icd"."icd9_code"), "_u_1" AS (SELECT "t1"."icd9_code" FROM "t1" AS "t1" WHERE "t1"."c1" <= 4 GROUP BY "icd9_code") SELECT "d_icd_procedures"."short_title" FROM "d_icd_procedures" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "d_icd_procedures"."icd9_code" WHERE NOT "_u_1"."" IS NULL | 0.768555 |
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 microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
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 intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
| what are the genders of patient 002-56853? | SELECT DISTINCT patient.gender FROM patient WHERE patient.uniquepid = '002-56853' | SELECT DISTINCT "patient"."gender" FROM "patient" WHERE "patient"."uniquepid" = '002-56853' | 0.088867 |
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
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 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 employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
| For those employees who do not work in departments with managers that have ids between 100 and 200, draw a bar chart about the distribution of phone_number and department_id , I want to show y-axis in descending order please. | SELECT PHONE_NUMBER, DEPARTMENT_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY DEPARTMENT_ID DESC | SELECT "PHONE_NUMBER", "DEPARTMENT_ID" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY "DEPARTMENT_ID" DESC NULLS LAST | 0.213867 |
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE FlagTypes (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 CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE 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 Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostTypes (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 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 ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE 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 PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
| TOP 50 Posts - Spring - pt-br. | SELECT Posts.Id AS "post_link", CreationDate, ViewCount, Score FROM Posts INNER JOIN PostTags ON Posts.Id = PostTags.PostId INNER JOIN Tags ON Tags.Id = PostTags.TagId WHERE LOWER(Tags) LIKE '%eclipse%' AND LOWER(Tags.TagName) LIKE '%eclipse%' ORDER BY ViewCount DESC LIMIT 50 | SELECT "Posts"."Id" AS "post_link", "CreationDate", "ViewCount", "Score" FROM "Posts" JOIN "PostTags" ON "PostTags"."PostId" = "Posts"."Id" JOIN "Tags" ON "PostTags"."TagId" = "Tags"."Id" AND LOWER("Tags"."TagName") LIKE '%eclipse%' WHERE LOWER("Tags") LIKE '%eclipse%' ORDER BY "ViewCount" DESC NULLS LAST LIMIT 50 | 0.307617 |
CREATE TABLE table_203_547 (id DECIMAL, "ship" TEXT, "built" DECIMAL, "in service for cunard" TEXT, "type" TEXT, "tonnage" TEXT, "notes" TEXT)
| how many express ships ? | SELECT COUNT("ship") FROM table_203_547 WHERE "type" = 'express' | SELECT COUNT("ship") FROM "table_203_547" WHERE "type" = 'express' | 0.064453 |
CREATE TABLE table_16052 ("Year ( Ceremony ) " TEXT, "Film title used in nomination" TEXT, "Original title" TEXT, "Director" TEXT, "Result" TEXT)
| What year was a movie with the original title La Leggenda del Santo Bevitore submitted? | SELECT "Year (Ceremony)" FROM table_16052 WHERE "Original title" = 'La leggenda del santo bevitore' | SELECT "Year (Ceremony)" FROM "table_16052" WHERE "Original title" = 'La leggenda del santo bevitore' | 0.098633 |
CREATE TABLE table_1342292_42 (candidates VARCHAR, incumbent VARCHAR)
| Who are all the candidates when Sam Rayburn was incumbent? | SELECT candidates FROM table_1342292_42 WHERE incumbent = "Sam Rayburn" | SELECT "candidates" FROM "table_1342292_42" WHERE "Sam Rayburn" = "incumbent" | 0.075195 |
CREATE TABLE table_27002 ("Name of Village" TEXT, "Name in Syriac" TEXT, "Number of Believers" FLOAT, "Number of Priests" FLOAT, "Number of Churches" FLOAT)
| Name the number of believers for patavur | SELECT COUNT("Number of Believers") FROM table_27002 WHERE "Name of Village" = 'Patavur' | SELECT COUNT("Number of Believers") FROM "table_27002" WHERE "Name of Village" = 'Patavur' | 0.087891 |
CREATE TABLE table_name_52 (manufacturer VARCHAR, year_withdrawn VARCHAR)
| Who manufactured the vehicle that was withdrawn in 1927? | SELECT manufacturer FROM table_name_52 WHERE year_withdrawn = 1927 | SELECT "manufacturer" FROM "table_name_52" WHERE "year_withdrawn" = 1927 | 0.070313 |
CREATE TABLE table_name_56 (aggregate VARCHAR, opponents VARCHAR)
| What is the Aggregate of Bayer Leverkusen opponents? | SELECT aggregate FROM table_name_56 WHERE opponents = "bayer leverkusen" | SELECT "aggregate" FROM "table_name_56" WHERE "bayer leverkusen" = "opponents" | 0.076172 |
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime 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 medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
| how many times is antiarrhythmics - class iii antiarrhythmic ordered the previous year? | SELECT COUNT(*) FROM treatment WHERE treatment.treatmentname = 'antiarrhythmics - class iii antiarrhythmic' AND DATETIME(treatment.treatmenttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') | SELECT COUNT(*) FROM "treatment" WHERE "treatment"."treatmentname" = 'antiarrhythmics - class iii antiarrhythmic' AND DATETIME("treatment"."treatmenttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') | 0.22168 |
CREATE TABLE table_34774 ("Nation" TEXT, "Skip" TEXT, "Third" TEXT, "Second" TEXT, "Lead" TEXT, "Alternate" TEXT)
| Who is the alternate for the team for which Monika Wagner is the third? | SELECT "Alternate" FROM table_34774 WHERE "Third" = 'monika wagner' | SELECT "Alternate" FROM "table_34774" WHERE "Third" = 'monika wagner' | 0.067383 |
CREATE TABLE table_14127 ("Date" TEXT, "Venue" TEXT, "Score" TEXT, "Result" TEXT, "Competition" TEXT)
| The game played at Sultan Qaboos Sports Complex, Muscat had what score? | SELECT "Score" FROM table_14127 WHERE "Venue" = 'sultan qaboos sports complex, muscat' | SELECT "Score" FROM "table_14127" WHERE "Venue" = 'sultan qaboos sports complex, muscat' | 0.085938 |
CREATE TABLE table_train_29 ("id" INT, "organ_transplantation" BOOLEAN, "white_blood_cell_count_wbc" INT, "leukopenia" INT, "immune_suppression" BOOLEAN, "active_infection" BOOLEAN, "treatment_with_immunoglobulins" BOOLEAN, "temperature" FLOAT, "heart_rate" INT, "aisa" BOOLEAN, "paco2" FLOAT, "immature_form" INT, "cardiopulmonary_bypass" BOOLEAN, "respiratory_rate" INT, "NOUSE" FLOAT)
| suspected or confirmed infection | SELECT * FROM table_train_29 WHERE active_infection = 1 | SELECT * FROM "table_train_29" WHERE "active_infection" = 1 | 0.057617 |
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
| For those employees who did not have any job in the past, show me about the distribution of job_id and the sum of department_id , and group by attribute job_id in a bar chart, and list in desc by the x-axis. | SELECT JOB_ID, SUM(DEPARTMENT_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) GROUP BY JOB_ID ORDER BY JOB_ID DESC | SELECT "JOB_ID", SUM("DEPARTMENT_ID") FROM "employees" WHERE NOT "EMPLOYEE_ID" IN (SELECT "EMPLOYEE_ID" FROM "job_history") GROUP BY "JOB_ID" ORDER BY "JOB_ID" DESC NULLS LAST | 0.170898 |
CREATE TABLE table_6363 ("Rank" FLOAT, "Nation" TEXT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| Which Rank is the lowest one that has a Nation of switzerland, and a Bronze smaller than 0? | SELECT MIN("Rank") FROM table_6363 WHERE "Nation" = 'switzerland' AND "Bronze" < '0' | SELECT MIN("Rank") FROM "table_6363" WHERE "Bronze" < '0' AND "Nation" = 'switzerland' | 0.083984 |
CREATE TABLE products (product_name VARCHAR, product_category_code VARCHAR, color_code VARCHAR)
CREATE TABLE ref_colors (color_code VARCHAR, color_description VARCHAR)
CREATE TABLE ref_product_categories (product_category_code VARCHAR, unit_of_measure VARCHAR)
| Find the product names that are colored 'white' but do not have unit of measurement 'Handful'. | SELECT t1.product_name FROM products AS t1 JOIN ref_product_categories AS t2 ON t1.product_category_code = t2.product_category_code JOIN ref_colors AS t3 ON t1.color_code = t3.color_code WHERE t3.color_description = "white" AND t2.unit_of_measure <> "Handful" | SELECT "t1"."product_name" FROM "products" AS "t1" JOIN "ref_product_categories" AS "t2" ON "Handful" <> "t2"."unit_of_measure" AND "t1"."product_category_code" = "t2"."product_category_code" JOIN "ref_colors" AS "t3" ON "t1"."color_code" = "t3"."color_code" AND "t3"."color_description" = "white" | 0.290039 |
CREATE TABLE advisor (s_ID VARCHAR, i_ID VARCHAR)
CREATE TABLE student (ID VARCHAR, name VARCHAR, dept_name VARCHAR, tot_cred DECIMAL)
CREATE TABLE section (course_id VARCHAR, sec_id VARCHAR, semester VARCHAR, year DECIMAL, building VARCHAR, room_number VARCHAR, time_slot_id VARCHAR)
CREATE TABLE department (dept_name VARCHAR, building VARCHAR, budget DECIMAL)
CREATE TABLE prereq (course_id VARCHAR, prereq_id VARCHAR)
CREATE TABLE instructor (ID VARCHAR, name VARCHAR, dept_name VARCHAR, salary DECIMAL)
CREATE TABLE takes (ID VARCHAR, course_id VARCHAR, sec_id VARCHAR, semester VARCHAR, year DECIMAL, grade VARCHAR)
CREATE TABLE time_slot (time_slot_id VARCHAR, day VARCHAR, start_hr DECIMAL, start_min DECIMAL, end_hr DECIMAL, end_min DECIMAL)
CREATE TABLE classroom (building VARCHAR, room_number VARCHAR, capacity DECIMAL)
CREATE TABLE teaches (ID VARCHAR, course_id VARCHAR, sec_id VARCHAR, semester VARCHAR, year DECIMAL)
CREATE TABLE course (course_id VARCHAR, title VARCHAR, dept_name VARCHAR, credits DECIMAL)
| Bar chart of total number of credits from each dept name, and show from high to low by the total number of credits. | SELECT dept_name, SUM(credits) FROM course GROUP BY dept_name ORDER BY SUM(credits) DESC | SELECT "dept_name", SUM("credits") FROM "course" GROUP BY "dept_name" ORDER BY SUM("credits") DESC NULLS LAST | 0.106445 |
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
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)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
| For all employees who have the letters D or S in their first name, return a bar chart about the distribution of hire_date and the average of employee_id bin hire_date by time, and sort by the y axis in ascending. | SELECT HIRE_DATE, AVG(EMPLOYEE_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY AVG(EMPLOYEE_ID) | SELECT "HIRE_DATE", AVG("EMPLOYEE_ID") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' ORDER BY AVG("EMPLOYEE_ID") NULLS FIRST | 0.148438 |
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)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| How many white patients were admitted to the hospital before the year 2152? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "WHITE" AND demographic.admityear < "2152" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2152" > "demographic"."admityear" AND "WHITE" = "demographic"."ethnicity" | 0.145508 |
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 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 patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto 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 labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE 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 diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE d_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)
| what's the number of patients who had a nutren pulmonary intake during this year? | SELECT COUNT(DISTINCT admissions.subject_id) FROM admissions WHERE admissions.hadm_id IN (SELECT icustays.hadm_id FROM icustays WHERE icustays.icustay_id IN (SELECT inputevents_cv.icustay_id FROM inputevents_cv WHERE inputevents_cv.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'nutren pulmonary' AND d_items.linksto = 'inputevents_cv') AND DATETIME(inputevents_cv.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year'))) | WITH "_u_0" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'nutren pulmonary' AND "d_items"."linksto" = 'inputevents_cv' GROUP BY "itemid"), "_u_1" AS (SELECT "inputevents_cv"."icustay_id" FROM "inputevents_cv" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "inputevents_cv"."itemid" WHERE DATETIME("inputevents_cv"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "icustays"."hadm_id" FROM "icustays" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "icustays"."icustay_id" WHERE NOT "_u_1"."" IS NULL GROUP BY "hadm_id") SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "admissions" LEFT JOIN "_u_2" AS "_u_2" ON "_u_2"."" = "admissions"."hadm_id" WHERE NOT "_u_2"."" IS NULL | 0.779297 |
CREATE TABLE table_2562572_44 (dominant_religion__2002_ VARCHAR, settlement VARCHAR)
| What was the dominant religion in 2002 in lokve? | SELECT dominant_religion__2002_ FROM table_2562572_44 WHERE settlement = "Lokve" | SELECT "dominant_religion__2002_" FROM "table_2562572_44" WHERE "Lokve" = "settlement" | 0.083984 |
CREATE TABLE table_15138 ("Name" TEXT, "Circuit" TEXT, "Date" TEXT, "Winning driver" TEXT, "Winning constructor" TEXT, "Report" TEXT)
| In the circuit of Madonie, what was the date that had the winning constructor Bugatti? | SELECT "Date" FROM table_15138 WHERE "Circuit" = 'madonie' AND "Winning constructor" = 'bugatti' | SELECT "Date" FROM "table_15138" WHERE "Circuit" = 'madonie' AND "Winning constructor" = 'bugatti' | 0.095703 |
CREATE TABLE table_name_2 (laps INT, rider VARCHAR)
| Which Laps have a Rider of andrea dovizioso? | SELECT MIN(laps) FROM table_name_2 WHERE rider = "andrea dovizioso" | SELECT MIN("laps") FROM "table_name_2" WHERE "andrea dovizioso" = "rider" | 0.071289 |
CREATE TABLE table_54788 ("Type" TEXT, "Sign" FLOAT, "Exponent" FLOAT, "Significand" FLOAT, "Total bits" FLOAT, "Exponent bias" FLOAT, "Bits precision" FLOAT, "Number of decimal digits" TEXT)
| What's the sum of sign with an exponent bias less than 1023, ~3.3 decimal digits, and less than 11 bits precision? | SELECT SUM("Sign") FROM table_54788 WHERE "Exponent bias" < '1023' AND "Number of decimal digits" = '~3.3' AND "Bits precision" < '11' | SELECT SUM("Sign") FROM "table_54788" WHERE "Bits precision" < '11' AND "Exponent bias" < '1023' AND "Number of decimal digits" = '~3.3' | 0.132813 |
CREATE TABLE table_name_5 (leading_scorer VARCHAR, date VARCHAR)
| What is the name of the leading scorer on 2006-11-22? | SELECT leading_scorer FROM table_name_5 WHERE date = "2006-11-22" | SELECT "leading_scorer" FROM "table_name_5" WHERE "2006-11-22" = "date" | 0.069336 |
CREATE TABLE table_62190 ("Tie no" TEXT, "Home team" TEXT, "Score" TEXT, "Away team" TEXT, "Date" TEXT)
| What was the score when the way team was Wrexham? | SELECT "Score" FROM table_62190 WHERE "Away team" = 'wrexham' | SELECT "Score" FROM "table_62190" WHERE "Away team" = 'wrexham' | 0.061523 |
CREATE TABLE table_16553 ("#" FLOAT, "Episode" TEXT, "Air Date" TEXT, "Timeslot" TEXT, "Viewers" TEXT, "Weekly Rank for Living" TEXT)
| The episode 'chapter five: dressed to kill' had a weekly ranking of what? | SELECT "Weekly Rank for Living" FROM table_16553 WHERE "Episode" = 'Chapter Five: Dressed to Kill' | SELECT "Weekly Rank for Living" FROM "table_16553" WHERE "Episode" = 'Chapter Five: Dressed to Kill' | 0.097656 |
CREATE TABLE table_9132 ("Tie no" TEXT, "Home team" TEXT, "Score" TEXT, "Away team" TEXT, "Date" TEXT)
| Who is the away team against the home team Hartlepools United? | SELECT "Away team" FROM table_9132 WHERE "Home team" = 'hartlepools united' | SELECT "Away team" FROM "table_9132" WHERE "Home team" = 'hartlepools united' | 0.075195 |
CREATE TABLE table_37772 ("Week" FLOAT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Attendance" FLOAT)
| What is the average attendance for the game before week 4 that was on october 16, 1955? | SELECT AVG("Attendance") FROM table_37772 WHERE "Date" = 'october 16, 1955' AND "Week" < '4' | SELECT AVG("Attendance") FROM "table_37772" WHERE "Date" = 'october 16, 1955' AND "Week" < '4' | 0.091797 |
CREATE TABLE table_name_72 (hppa VARCHAR, ppc64 VARCHAR, mips VARCHAR, alpha VARCHAR)
| Which hppa contains a ppc64 of yes 3+, no for mips and no for alpha? | SELECT hppa FROM table_name_72 WHERE mips = "no" AND alpha = "no" AND ppc64 = "yes 3+" | SELECT "hppa" FROM "table_name_72" WHERE "alpha" = "no" AND "mips" = "no" AND "ppc64" = "yes 3+" | 0.09375 |
CREATE TABLE table_59448 ("Outcome" TEXT, "Date" TEXT, "Tournament" TEXT, "Surface" TEXT, "Partner" TEXT, "Opponents in the final" TEXT, "Score in the final" TEXT)
| What was the score where Olga Lugina played in the Tournament of poitiers , france itf $25,000? | SELECT "Score in the final" FROM table_59448 WHERE "Partner" = 'olga lugina' AND "Tournament" = 'poitiers , france itf $25,000' | SELECT "Score in the final" FROM "table_59448" WHERE "Partner" = 'olga lugina' AND "Tournament" = 'poitiers , france itf $25,000' | 0.125977 |
CREATE TABLE table_name_45 (production_company VARCHAR, year VARCHAR)
| Which production company has the year of 2005 listed? | SELECT production_company FROM table_name_45 WHERE year = "2005" | SELECT "production_company" FROM "table_name_45" WHERE "2005" = "year" | 0.068359 |
CREATE TABLE student (stuid DECIMAL, lname TEXT, fname TEXT, age DECIMAL, sex TEXT, major DECIMAL, advisor DECIMAL, city_code TEXT)
CREATE TABLE lives_in (stuid DECIMAL, dormid DECIMAL, room_number DECIMAL)
CREATE TABLE dorm_amenity (amenid DECIMAL, amenity_name TEXT)
CREATE TABLE has_amenity (dormid DECIMAL, amenid DECIMAL)
CREATE TABLE dorm (dormid DECIMAL, dorm_name TEXT, student_capacity DECIMAL, gender TEXT)
| Find the numbers of different majors and cities. | SELECT COUNT(DISTINCT major), COUNT(DISTINCT city_code) FROM student | SELECT COUNT(DISTINCT "major"), COUNT(DISTINCT "city_code") FROM "student" | 0.072266 |
CREATE TABLE table_name_73 (ihsaa_class VARCHAR, county VARCHAR, mascot VARCHAR)
| What is the IHSAA class for the school in 10 Clark county with mascot of the Mustangs? | SELECT ihsaa_class FROM table_name_73 WHERE county = "10 clark" AND mascot = "mustangs" | SELECT "ihsaa_class" FROM "table_name_73" WHERE "10 clark" = "county" AND "mascot" = "mustangs" | 0.092773 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
| tell me the number of patients who are less than 74 years of age. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.age < "74" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "74" > "demographic"."age" | 0.098633 |
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 microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime 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 vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
| has patient 021-95970 had any allergies in their current hospital visit? | SELECT COUNT(*) > 0 FROM allergy WHERE allergy.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '021-95970' AND patient.hospitaldischargetime IS NULL)) | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."hospitaldischargetime" IS NULL AND "patient"."uniquepid" = '021-95970' 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 "allergy" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "allergy"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL | 0.525391 |
CREATE TABLE table_name_78 (position VARCHAR, dob VARCHAR)
| Which Position has a D.O.B. of 3 june 1989? | SELECT position FROM table_name_78 WHERE dob = "3 june 1989" | SELECT "position" FROM "table_name_78" WHERE "3 june 1989" = "dob" | 0.064453 |
CREATE TABLE table_name_51 (team VARCHAR, series VARCHAR)
| What team did they play when the series was 1-1? | SELECT team FROM table_name_51 WHERE series = "1-1" | SELECT "team" FROM "table_name_51" WHERE "1-1" = "series" | 0.055664 |
CREATE TABLE table_34834 ("Place" TEXT, "Player" TEXT, "Country" TEXT, "Score" FLOAT, "To par" TEXT)
| What is the lowest score that has alastair forsyth as the player? | SELECT MIN("Score") FROM table_34834 WHERE "Player" = 'alastair forsyth' | SELECT MIN("Score") FROM "table_34834" WHERE "Player" = 'alastair forsyth' | 0.072266 |
CREATE TABLE table_36887 ("Year" FLOAT, "Trim" TEXT, "Engine" TEXT, "Power" TEXT, "Torque" TEXT, "EPA ( 2008 ) City" TEXT)
| What's the Year Average that has a Power of BHP (KW) and Trim of LS/2LT? | SELECT AVG("Year") FROM table_36887 WHERE "Power" = 'bhp (kw)' AND "Trim" = 'ls/2lt' | SELECT AVG("Year") FROM "table_36887" WHERE "Power" = 'bhp (kw)' AND "Trim" = 'ls/2lt' | 0.083984 |
CREATE TABLE table_name_53 (school VARCHAR, city VARCHAR)
| What school is in hillsboro city? | SELECT school FROM table_name_53 WHERE city = "hillsboro" | SELECT "school" FROM "table_name_53" WHERE "city" = "hillsboro" | 0.061523 |
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 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 ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId 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 PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId 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 PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
| Number of image posts without default alt text per owner. | SELECT OwnerUserId AS "user_link", COUNT(*) AS NumPosts FROM Posts WHERE Body LIKE '%<img%' AND NOT Body LIKE '%alt text%' AND NOT Body LIKE '%enter image description here%' GROUP BY OwnerUserId ORDER BY COUNT(*) DESC | SELECT "OwnerUserId" AS "user_link", COUNT(*) AS "NumPosts" FROM "Posts" WHERE "Body" LIKE '%<img%' AND NOT "Body" LIKE '%alt text%' AND NOT "Body" LIKE '%enter image description here%' GROUP BY "OwnerUserId" ORDER BY COUNT(*) DESC NULLS LAST | 0.236328 |
CREATE TABLE table_5884 ("Season" TEXT, "Champion" TEXT, "Runner Up" TEXT, "1st leg" TEXT, "2nd leg" TEXT, "Host City" TEXT)
| what team was the 1st leg champion of sakalai | SELECT "1st leg" FROM table_5884 WHERE "Champion" = 'sakalai' | SELECT "1st leg" FROM "table_5884" WHERE "Champion" = 'sakalai' | 0.061523 |
CREATE TABLE table_203_577 (id DECIMAL, "tenure" TEXT, "coach" TEXT, "years" DECIMAL, "record" TEXT, "pct." DECIMAL)
| which coach had the most years as a coach ? | SELECT "coach" FROM table_203_577 ORDER BY "years" DESC LIMIT 1 | SELECT "coach" FROM "table_203_577" ORDER BY "years" DESC NULLS LAST LIMIT 1 | 0.074219 |
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime 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 diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
| did any 30 ml cup : alum & mag hydroxide-simeth 200-200-20 mg/5ml po susp ever been prescribed to patient 004-66442 until 03/2102? | SELECT COUNT(*) > 0 FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '004-66442')) AND medication.drugname = '30 ml cup : alum & mag hydroxide-simeth 200-200-20 mg/5ml po susp' AND STRFTIME('%y-%m', medication.drugstarttime) <= '2102-03' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '004-66442' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT COUNT(*) > 0 FROM "medication" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "medication"."patientunitstayid" WHERE "medication"."drugname" = '30 ml cup : alum & mag hydroxide-simeth 200-200-20 mg/5ml po susp' AND NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m', "medication"."drugstarttime") <= '2102-03' | 0.645508 |
CREATE TABLE 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, find name and the average of revenue , and group by attribute name, and visualize them by a bar chart, sort the average of revenue from low to high order. | SELECT T2.Name, T2.Revenue FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Name ORDER BY T2.Revenue | SELECT "T2"."Name", "T2"."Revenue" FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T2"."Name" ORDER BY "T2"."Revenue" NULLS FIRST | 0.176758 |
CREATE TABLE keyphrase (keyphraseid INT, keyphrasename VARCHAR)
CREATE TABLE writes (paperid INT, authorid INT)
CREATE TABLE paper (paperid INT, title VARCHAR, venueid INT, year INT, numciting INT, numcitedby INT, journalid INT)
CREATE TABLE author (authorid INT, authorname VARCHAR)
CREATE TABLE paperkeyphrase (paperid INT, keyphraseid INT)
CREATE TABLE field (fieldid INT)
CREATE TABLE journal (journalid INT, journalname VARCHAR)
CREATE TABLE dataset (datasetid INT, datasetname VARCHAR)
CREATE TABLE paperdataset (paperid INT, datasetid INT)
CREATE TABLE paperfield (fieldid INT, paperid INT)
CREATE TABLE venue (venueid INT, venuename VARCHAR)
CREATE TABLE cite (citingpaperid INT, citedpaperid INT)
| has any paper tried Multiuser Receiver for Decision Feedback ? | SELECT DISTINCT paperkeyphrase.paperid FROM keyphrase, paperkeyphrase WHERE keyphrase.keyphrasename IN ('Multiuser Receiver', 'Decision Feedback') GROUP BY paperkeyphrase.paperid HAVING COUNT(DISTINCT keyphrase.keyphraseid) = 1 | SELECT DISTINCT "paperkeyphrase"."paperid" FROM "keyphrase" CROSS JOIN "paperkeyphrase" WHERE "keyphrase"."keyphrasename" IN ('Multiuser Receiver', 'Decision Feedback') GROUP BY "paperkeyphrase"."paperid" HAVING COUNT(DISTINCT "keyphrase"."keyphraseid") = 1 | 0.250977 |
CREATE TABLE table_name_48 (label VARCHAR, catalog VARCHAR)
| Which label had a catalog designation of ch-9196? | SELECT label FROM table_name_48 WHERE catalog = "ch-9196" | SELECT "label" FROM "table_name_48" WHERE "catalog" = "ch-9196" | 0.061523 |
CREATE TABLE table_68617 ("Date" TEXT, "Location" TEXT, "Nature of incident" TEXT, "Circumstances" TEXT, "Casualties" TEXT)
| What happened on 2009-09-05? | SELECT "Circumstances" FROM table_68617 WHERE "Date" = '2009-09-05' | SELECT "Circumstances" FROM "table_68617" WHERE "Date" = '2009-09-05' | 0.067383 |
CREATE TABLE table_40142 ("Rider" TEXT, "Manufacturer" TEXT, "Laps" FLOAT, "Time/Retired" TEXT, "Grid" FLOAT)
| What is the highest number of laps when honda is the manufacturer and the grid number is 12? | SELECT MAX("Laps") FROM table_40142 WHERE "Manufacturer" = 'honda' AND "Grid" = '12' | SELECT MAX("Laps") FROM "table_40142" WHERE "Grid" = '12' AND "Manufacturer" = 'honda' | 0.083984 |
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE d_icd_procedures (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 microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE 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 procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE 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 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 labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
| retrieve patient ids of individuals who have been diagnosed with dmi renl nt st uncntrld since 2105. | SELECT admissions.subject_id FROM admissions WHERE admissions.hadm_id IN (SELECT diagnoses_icd.hadm_id FROM diagnoses_icd WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'dmi renl nt st uncntrld') AND STRFTIME('%y', diagnoses_icd.charttime) >= '2105') | WITH "_u_1" AS (SELECT "diagnoses_icd"."hadm_id" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'dmi renl nt st uncntrld' WHERE STRFTIME('%y', "diagnoses_icd"."charttime") >= '2105' GROUP BY "hadm_id") SELECT "admissions"."subject_id" FROM "admissions" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "admissions"."hadm_id" WHERE NOT "_u_1"."" IS NULL | 0.432617 |
CREATE TABLE table_204_798 (id DECIMAL, "year" DECIMAL, "competition" TEXT, "venue" TEXT, "position" TEXT, "notes" TEXT)
| how many times has this racer finished below 20th position ? | SELECT COUNT(*) FROM table_204_798 WHERE "position" > 20 | SELECT COUNT(*) FROM "table_204_798" WHERE "position" > 20 | 0.056641 |
CREATE TABLE STUDENT (STU_NUM INT, STU_LNAME VARCHAR, STU_FNAME VARCHAR, STU_INIT VARCHAR, STU_DOB DATETIME, STU_HRS INT, STU_CLASS VARCHAR, STU_GPA FLOAT, STU_TRANSFER DECIMAL, DEPT_CODE VARCHAR, STU_PHONE VARCHAR, PROF_NUM INT)
CREATE TABLE EMPLOYEE (EMP_NUM INT, EMP_LNAME VARCHAR, EMP_FNAME VARCHAR, EMP_INITIAL VARCHAR, EMP_JOBCODE VARCHAR, EMP_HIREDATE DATETIME, EMP_DOB DATETIME)
CREATE TABLE COURSE (CRS_CODE VARCHAR, DEPT_CODE VARCHAR, CRS_DESCRIPTION VARCHAR, CRS_CREDIT FLOAT)
CREATE TABLE CLASS (CLASS_CODE VARCHAR, CRS_CODE VARCHAR, CLASS_SECTION VARCHAR, CLASS_TIME VARCHAR, CLASS_ROOM VARCHAR, PROF_NUM INT)
CREATE TABLE DEPARTMENT (DEPT_CODE VARCHAR, DEPT_NAME VARCHAR, SCHOOL_CODE VARCHAR, EMP_NUM INT, DEPT_ADDRESS VARCHAR, DEPT_EXTENSION VARCHAR)
CREATE TABLE PROFESSOR (EMP_NUM INT, DEPT_CODE VARCHAR, PROF_OFFICE VARCHAR, PROF_EXTENSION VARCHAR, PROF_HIGH_DEGREE VARCHAR)
CREATE TABLE ENROLL (CLASS_CODE VARCHAR, STU_NUM INT, ENROLL_GRADE VARCHAR)
| How many courses each teacher taught? Show me a bar chart grouping by instructor's first name, order Y in descending order. | SELECT EMP_FNAME, COUNT(EMP_FNAME) FROM CLASS AS T1 JOIN EMPLOYEE AS T2 ON T1.PROF_NUM = T2.EMP_NUM GROUP BY EMP_FNAME ORDER BY COUNT(EMP_FNAME) DESC | SELECT "EMP_FNAME", COUNT("EMP_FNAME") FROM "CLASS" AS "T1" JOIN "EMPLOYEE" AS "T2" ON "T1"."PROF_NUM" = "T2"."EMP_NUM" GROUP BY "EMP_FNAME" ORDER BY COUNT("EMP_FNAME") DESC NULLS LAST | 0.179688 |
CREATE TABLE table_22823 ("Team #1" TEXT, "Agg. score" TEXT, "Team #2" TEXT, "1st leg" TEXT, "2nd leg" TEXT)
| What's the 1st leg result in the round where team #1 is Iraklis? | SELECT "1st leg" FROM table_22823 WHERE "Team #1" = 'Iraklis' | SELECT "1st leg" FROM "table_22823" WHERE "Team #1" = 'Iraklis' | 0.061523 |
CREATE TABLE table_2921 ("Song 1 title" TEXT, "Artist 1" TEXT, "Song 2 title" TEXT, "Artist 2" TEXT, "Mix artist" TEXT, "Guitar part?" TEXT, "Mix pack" TEXT, "Release date" TEXT)
| If artist 1 is Wolfgang Gartner, what is the release date? | SELECT "Release date" FROM table_2921 WHERE "Artist 1" = 'Wolfgang Gartner' | SELECT "Release date" FROM "table_2921" WHERE "Artist 1" = 'Wolfgang Gartner' | 0.075195 |
CREATE TABLE table_name_28 (location VARCHAR, date VARCHAR)
| Where was the incident of 2009-09-05? | SELECT location FROM table_name_28 WHERE date = "2009-09-05" | SELECT "location" FROM "table_name_28" WHERE "2009-09-05" = "date" | 0.064453 |
CREATE TABLE table_46997 ("Club" TEXT, "Played" TEXT, "Drawn" TEXT, "Lost" TEXT, "Points for" TEXT, "Points against" TEXT, "Tries for" TEXT, "Tries against" TEXT, "Try bonus" TEXT, "Losing bonus" TEXT, "Points" TEXT)
| What is Points, when Played is '20', and when Club is 'Caldicot RFC'? | SELECT "Points" FROM table_46997 WHERE "Played" = '20' AND "Club" = 'caldicot rfc' | SELECT "Points" FROM "table_46997" WHERE "Club" = 'caldicot rfc' AND "Played" = '20' | 0.082031 |
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_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 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_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto 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 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 procedures_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 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 microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
| tell me the top five most common diagnoses in patients in the age of 60 or above this year? | SELECT d_icd_diagnoses.short_title FROM d_icd_diagnoses WHERE d_icd_diagnoses.icd9_code IN (SELECT t1.icd9_code FROM (SELECT diagnoses_icd.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM diagnoses_icd WHERE diagnoses_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.age >= 60) AND DATETIME(diagnoses_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') GROUP BY diagnoses_icd.icd9_code) AS t1 WHERE t1.c1 <= 5) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."age" >= 60 GROUP BY "hadm_id"), "t1" AS (SELECT "diagnoses_icd"."icd9_code", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "diagnoses_icd" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "diagnoses_icd"."hadm_id" WHERE DATETIME("diagnoses_icd"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "_u_0"."" IS NULL GROUP BY "diagnoses_icd"."icd9_code"), "_u_1" AS (SELECT "t1"."icd9_code" FROM "t1" AS "t1" WHERE "t1"."c1" <= 5 GROUP BY "icd9_code") SELECT "d_icd_diagnoses"."short_title" FROM "d_icd_diagnoses" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "d_icd_diagnoses"."icd9_code" WHERE NOT "_u_1"."" IS NULL | 0.732422 |
CREATE TABLE table_name_45 (score VARCHAR, opponents VARCHAR)
| What is the Score with an Opponent that is amanda brown brenda remilton? | SELECT score FROM table_name_45 WHERE opponents = "amanda brown brenda remilton" | SELECT "score" FROM "table_name_45" WHERE "amanda brown brenda remilton" = "opponents" | 0.083984 |
CREATE TABLE table_name_34 (result VARCHAR, location VARCHAR)
| Tell me the result for harrogate | SELECT result FROM table_name_34 WHERE location = "harrogate" | SELECT "result" FROM "table_name_34" WHERE "harrogate" = "location" | 0.06543 |
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_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 procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE 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 chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE 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 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_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE 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 microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
| during the last month was calcium gluconate prescribed to patient 57023? | SELECT COUNT(*) > 0 FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 57023) AND prescriptions.drug = 'calcium gluconate' AND DATETIME(prescriptions.startdate, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 57023 GROUP BY "hadm_id") SELECT COUNT(*) > 0 FROM "prescriptions" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE "prescriptions"."drug" = 'calcium gluconate' AND DATETIME("prescriptions"."startdate", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') AND NOT "_u_0"."" IS NULL | 0.416016 |
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount 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 Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
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 PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
| Count of Tags relevant to Taxonomist. Returns the number of tags that would be eligible for awarding Taxonomist if it could be awarded multiple times | SELECT COUNT(*) AS Tag_Count FROM Tags AS t WHERE t.Count >= 50 | SELECT COUNT(*) AS "Tag_Count" FROM "Tags" AS "t" WHERE "t"."Count" >= 50 | 0.071289 |
CREATE TABLE table_203_538 (id DECIMAL, "flight" TEXT, "date" TEXT, "payload nickname" TEXT, "payload" TEXT, "orbit" TEXT, "result" TEXT)
| in what year did the first h ii flight take place ? | SELECT MIN("date") FROM table_203_538 | SELECT MIN("date") FROM "table_203_538" | 0.038086 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| what is the number of patients whose admission year is less than 2139 and drug route is nu? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admityear < "2139" AND prescriptions.route = "NU" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "NU" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "2139" > "demographic"."admityear" | 0.214844 |
CREATE TABLE table_55156 ("Player" TEXT, "Rec." FLOAT, "Yards" FLOAT, "Avg." FLOAT, "TD's" FLOAT, "Long" FLOAT)
| What is the low TD for 49 longs and 1436 less yards? | SELECT MIN("TD's") FROM table_55156 WHERE "Long" = '49' AND "Yards" < '1436' | SELECT MIN("TD's") FROM "table_55156" WHERE "Long" = '49' AND "Yards" < '1436' | 0.076172 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| provide the number of patients who had procedure icd9 code 12 and are still alive. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.expire_flag = "0" AND procedures.icd9_code = "12" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "12" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "0" = "demographic"."expire_flag" | 0.208984 |
CREATE TABLE table_name_82 (attendance VARCHAR, visitor VARCHAR)
| What is the total attendance of the game with Toronto as the visitor team? | SELECT COUNT(attendance) FROM table_name_82 WHERE visitor = "toronto" | SELECT COUNT("attendance") FROM "table_name_82" WHERE "toronto" = "visitor" | 0.073242 |
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE flight_fare (flight_id INT, fare_id 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 month (month_number INT, month_name TEXT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight 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 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 days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE compartment_class (compartment VARCHAR, class_type 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 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 code_description (code VARCHAR, description TEXT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
| how many airlines have flights with service class YN | SELECT COUNT(DISTINCT airline.airline_code) FROM airline, fare, flight, flight_fare WHERE fare.fare_basis_code = 'YN' AND flight_fare.fare_id = fare.fare_id AND flight.airline_code = airline.airline_code AND flight.flight_id = flight_fare.flight_id | SELECT COUNT(DISTINCT "airline"."airline_code") FROM "airline" JOIN "flight" ON "airline"."airline_code" = "flight"."airline_code" JOIN "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "fare" ON "fare"."fare_basis_code" = 'YN' AND "fare"."fare_id" = "flight_fare"."fare_id" | 0.288086 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE 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)
| what is subject name and primary disease of subject id 2560? | SELECT demographic.name, demographic.diagnosis FROM demographic WHERE demographic.subject_id = "2560" | SELECT "demographic"."name", "demographic"."diagnosis" FROM "demographic" WHERE "2560" = "demographic"."subject_id" | 0.112305 |
CREATE TABLE basketball_match (Team_ID INT, School_ID INT, Team_Name TEXT, ACC_Regular_Season TEXT, ACC_Percent TEXT, ACC_Home TEXT, ACC_Road TEXT, All_Games TEXT, All_Games_Percent INT, All_Home TEXT, All_Road TEXT, All_Neutral TEXT)
CREATE TABLE university (School_ID INT, School TEXT, Location TEXT, Founded FLOAT, Affiliation TEXT, Enrollment FLOAT, Nickname TEXT, Primary_conference TEXT)
| Show me team_id by all road in a histogram, and rank by the y-axis in ascending. | SELECT All_Road, Team_ID FROM basketball_match ORDER BY Team_ID | SELECT "All_Road", "Team_ID" FROM "basketball_match" ORDER BY "Team_ID" NULLS FIRST | 0.081055 |
CREATE TABLE table_50225 ("Department" TEXT, "Micro ( 10ha ) " FLOAT, "Small ( 100ha ) " FLOAT, "Medium ( 500ha ) " FLOAT, "Big ( >500ha ) " FLOAT, "Total" FLOAT)
| How much Micro (10ha) has a Big (>500ha) larger than 63,454, and a Medium (500ha) larger than 440, and a Small (100ha) smaller than 21,047? | SELECT COUNT("Micro (10ha)") FROM table_50225 WHERE "Big (>500ha)" > '63,454' AND "Medium (500ha)" > '440' AND "Small (100ha)" < '21,047' | SELECT COUNT("Micro (10ha)") FROM "table_50225" WHERE "Big (>500ha)" > '63,454' AND "Medium (500ha)" > '440' AND "Small (100ha)" < '21,047' | 0.135742 |
CREATE TABLE table_44262 ("Stage ( Winner ) " TEXT, "General Classification" TEXT, "Young Classification" TEXT, "Sprint Classification" TEXT, "Aggressive Rider" TEXT, "Team Classification" TEXT)
| Which young classification has an aggressive rider of Tim Johnson? | SELECT "Young Classification" FROM table_44262 WHERE "Aggressive Rider" = 'tim johnson' | SELECT "Young Classification" FROM "table_44262" WHERE "Aggressive Rider" = 'tim johnson' | 0.086914 |
CREATE TABLE table_name_92 (Id VARCHAR)
| What is the 1991 for 2R 1999? | SELECT 1991 FROM table_name_92 WHERE 1999 = "2r" | SELECT 1991 FROM "table_name_92" WHERE "2r" = 1999 | 0.048828 |
CREATE TABLE table_15437 ("Week" TEXT, "Theme" TEXT, "Song choice" TEXT, "Original artist" TEXT, "Result" TEXT)
| Which week had a theme of Heroes? | SELECT "Week" FROM table_15437 WHERE "Theme" = 'heroes' | SELECT "Week" FROM "table_15437" WHERE "Theme" = 'heroes' | 0.055664 |
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
| did patient 022-76925's sao2 since 27 months ago be greater than 85.0? | SELECT COUNT(*) > 0 FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '022-76925')) AND vitalperiodic.sao2 > 85.0 AND NOT vitalperiodic.sao2 IS NULL AND DATETIME(vitalperiodic.observationtime) >= DATETIME(CURRENT_TIME(), '-27 month') | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '022-76925' 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 "vitalperiodic" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "vitalperiodic"."patientunitstayid" WHERE "vitalperiodic"."sao2" > 85.0 AND DATETIME("vitalperiodic"."observationtime") >= DATETIME(CURRENT_TIME(), '-27 month') AND NOT "_u_1"."" IS NULL AND NOT "vitalperiodic"."sao2" IS NULL | 0.650391 |
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 d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE 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 microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE d_icd_procedures (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 procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE 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 outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE 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)
| show me the three year survival rate of patients who have been prescribed dextrose 20% in water (d20w) after having been diagnosed with esophageal reflux? | SELECT SUM(CASE WHEN patients.dod IS NULL THEN 1 WHEN STRFTIME('%j', patients.dod) - STRFTIME('%j', t4.charttime) > 3 * 365 THEN 1 ELSE 0 END) * 100 / COUNT(*) FROM (SELECT t2.subject_id, t2.charttime FROM (SELECT t1.subject_id, t1.charttime FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'esophageal reflux') GROUP BY admissions.subject_id HAVING MIN(diagnoses_icd.charttime) = diagnoses_icd.charttime) AS t1 WHERE STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', t1.charttime) > 3 * 365) AS t2 JOIN (SELECT admissions.subject_id, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE prescriptions.drug = 'dextrose 20% in water (d20w)') AS t3 ON t2.subject_id = t3.subject_id WHERE t2.charttime < t3.startdate) AS t4 JOIN patients ON t4.subject_id = patients.subject_id | WITH "t1" AS (SELECT "admissions"."subject_id", "diagnoses_icd"."charttime" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'esophageal reflux' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" GROUP BY "admissions"."subject_id" HAVING "diagnoses_icd"."charttime" = MIN("diagnoses_icd"."charttime")), "t3" AS (SELECT "admissions"."subject_id", "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" WHERE "prescriptions"."drug" = 'dextrose 20% in water (d20w)') SELECT SUM(CASE WHEN "patients"."dod" IS NULL THEN 1 WHEN STRFTIME('%j', "patients"."dod") - STRFTIME('%j', "t1"."charttime") > 1095 THEN 1 ELSE 0 END) * 100 / NULLIF(COUNT(*), 0) FROM "t1" AS "t1" JOIN "t3" AS "t3" ON "t1"."charttime" < "t3"."startdate" AND "t1"."subject_id" = "t3"."subject_id" JOIN "patients" ON "patients"."subject_id" = "t1"."subject_id" WHERE STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "t1"."charttime") > 1095 | 1.05957 |
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