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CREATE TABLE catalog_structure (catalog_level_number DECIMAL, catalog_id DECIMAL, catalog_level_name TEXT)
CREATE TABLE catalog_contents_additional_attributes (catalog_entry_id DECIMAL, catalog_level_number DECIMAL, attribute_id DECIMAL, attribute_value TEXT)
CREATE TABLE attribute_definitions (attribute_id DECIMAL, attribute_name TEXT, attribute_data_type TEXT)
CREATE TABLE catalogs (catalog_id DECIMAL, catalog_name TEXT, catalog_publisher TEXT, date_of_publication TIME, date_of_latest_revision TIME)
CREATE TABLE catalog_contents (catalog_entry_id DECIMAL, catalog_level_number DECIMAL, parent_entry_id DECIMAL, previous_entry_id DECIMAL, next_entry_id DECIMAL, catalog_entry_name TEXT, product_stock_number TEXT, price_in_dollars DECIMAL, price_in_euros DECIMAL, price_in_pounds DECIMAL, capacity TEXT, length TEXT, height TEXT, width TEXT)
| Which catalog publisher has published the most catalogs? | SELECT catalog_publisher FROM catalogs GROUP BY catalog_publisher ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "catalog_publisher" FROM "catalogs" GROUP BY "catalog_publisher" ORDER BY COUNT(*) DESC NULLS LAST LIMIT 1 | 0.110352 |
CREATE TABLE table_32056 ("Begin Date" TEXT, "Representative" TEXT, "Date of birth" TEXT, "House term" TEXT, "State served" TEXT, "Party" TEXT, "Age ( years , days ) " TEXT)
| What was the date of birth of a republican member of the United States House of Representatives who held the term of 1863-1865? | SELECT "Date of birth" FROM table_32056 WHERE "Party" = 'republican' AND "House term" = '1863-1865' | SELECT "Date of birth" FROM "table_32056" WHERE "House term" = '1863-1865' AND "Party" = 'republican' | 0.098633 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| give me the short title of procedure and the type of drug prescribed to patient with patient id 10317. | SELECT procedures.short_title, prescriptions.drug_type FROM procedures INNER JOIN prescriptions ON procedures.hadm_id = prescriptions.hadm_id WHERE procedures.subject_id = "10317" | SELECT "procedures"."short_title", "prescriptions"."drug_type" FROM "procedures" JOIN "prescriptions" ON "prescriptions"."hadm_id" = "procedures"."hadm_id" WHERE "10317" = "procedures"."subject_id" | 0.192383 |
CREATE TABLE table_25519 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT)
| David James Elliott directed which episode number within the series? | SELECT "No. in series" FROM table_25519 WHERE "Directed by" = 'David James Elliott' | SELECT "No. in series" FROM "table_25519" WHERE "Directed by" = 'David James Elliott' | 0.083008 |
CREATE TABLE club (club_id DECIMAL, name TEXT, region TEXT, start_year TEXT)
CREATE TABLE competition (competition_id DECIMAL, year DECIMAL, competition_type TEXT, country TEXT)
CREATE TABLE player (player_id DECIMAL, name TEXT, position TEXT, club_id DECIMAL, apps DECIMAL, tries DECIMAL, goals TEXT, points DECIMAL)
CREATE TABLE club_rank (rank DECIMAL, club_id DECIMAL, gold DECIMAL, silver DECIMAL, bronze DECIMAL, total DECIMAL)
CREATE TABLE competition_result (competition_id DECIMAL, club_id_1 DECIMAL, club_id_2 DECIMAL, score TEXT)
| What are the names of the clubs that have players in the position of 'Right Wing'? | SELECT T1.name FROM club AS T1 JOIN player AS T2 ON T1.club_id = T2.club_id WHERE T2.position = "Right Wing" | SELECT "T1"."name" FROM "club" AS "T1" JOIN "player" AS "T2" ON "Right Wing" = "T2"."position" AND "T1"."club_id" = "T2"."club_id" | 0.126953 |
CREATE TABLE table_name_43 (score VARCHAR, championship VARCHAR, surface VARCHAR, outcome VARCHAR)
| what is the score when the surface is carpet (i) outcome is winner and the championship is rotterdam, netherlands? | SELECT score FROM table_name_43 WHERE surface = "carpet (i)" AND outcome = "winner" AND championship = "rotterdam, netherlands" | SELECT "score" FROM "table_name_43" WHERE "carpet (i)" = "surface" AND "championship" = "rotterdam, netherlands" AND "outcome" = "winner" | 0.133789 |
CREATE TABLE table_name_59 (to_par INT, finish VARCHAR)
| What is the sum of To par when the Finish is t11? | SELECT SUM(to_par) FROM table_name_59 WHERE finish = "t11" | SELECT SUM("to_par") FROM "table_name_59" WHERE "finish" = "t11" | 0.0625 |
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
| For all employees who have the letters D or S in their first name, show me the trend about employee_id over hire_date with a line chart, and list in desc by the x axis please. | SELECT HIRE_DATE, EMPLOYEE_ID FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY HIRE_DATE DESC | SELECT "HIRE_DATE", "EMPLOYEE_ID" FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' ORDER BY "HIRE_DATE" DESC NULLS LAST | 0.140625 |
CREATE TABLE table_name_97 (tournament VARCHAR)
| What is the 1981 value at the Tournament of Wimbledon? | SELECT 1981 FROM table_name_97 WHERE tournament = "wimbledon" | SELECT 1981 FROM "table_name_97" WHERE "tournament" = "wimbledon" | 0.063477 |
CREATE TABLE table_68762 ("Outcome" TEXT, "Date" TEXT, "Tournament" TEXT, "Surface" TEXT, "Opponent" TEXT, "Score" TEXT)
| Which Tournament has a Score of 6 4, 6 4? | SELECT "Tournament" FROM table_68762 WHERE "Score" = '6–4, 6–4' | SELECT "Tournament" FROM "table_68762" WHERE "Score" = '6–4, 6–4' | 0.063477 |
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)
| Visualize the relationship between School_ID and All_Games_Percent , and group by attribute ACC_Home. | SELECT School_ID, All_Games_Percent FROM basketball_match GROUP BY ACC_Home | SELECT "School_ID", "All_Games_Percent" FROM "basketball_match" GROUP BY "ACC_Home" | 0.081055 |
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 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 allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
| what medication was first prescribed to patient 021-250695 via oral rinse route until 11/2105? | SELECT medication.drugname FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '021-250695')) AND medication.routeadmin = 'oral rinse' AND STRFTIME('%y-%m', medication.drugstarttime) <= '2105-11' ORDER BY medication.drugstarttime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '021-250695' 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 "medication"."drugname" FROM "medication" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "medication"."patientunitstayid" WHERE "medication"."routeadmin" = 'oral rinse' AND NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m', "medication"."drugstarttime") <= '2105-11' ORDER BY "medication"."drugstarttime" NULLS FIRST LIMIT 1 | 0.662109 |
CREATE TABLE table_name_18 (round INT, player VARCHAR, pick VARCHAR)
| What is the earliest round that Donald Mason had a pick larger than 114? | SELECT MIN(round) FROM table_name_18 WHERE player = "donald mason" AND pick > 114 | SELECT MIN("round") FROM "table_name_18" WHERE "donald mason" = "player" AND "pick" > 114 | 0.086914 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
| how many patients whose drug code is benz1i? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.formulary_drug_cd = "BENZ1I" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "BENZ1I" = "prescriptions"."formulary_drug_cd" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.19043 |
CREATE TABLE table_name_36 (crowd INT, home_team VARCHAR)
| What was the attendance at the Fitzroy home game? | SELECT SUM(crowd) FROM table_name_36 WHERE home_team = "fitzroy" | SELECT SUM("crowd") FROM "table_name_36" WHERE "fitzroy" = "home_team" | 0.068359 |
CREATE TABLE actor (Actor_ID INT, Name TEXT, Musical_ID INT, Character TEXT, Duration TEXT, age INT)
CREATE TABLE musical (Musical_ID INT, Name TEXT, Year INT, Award TEXT, Category TEXT, Nominee TEXT, Result TEXT)
| Return a histogram on how many actors have appeared in each musical?, sort bar in desc order. | SELECT T2.Name, COUNT(*) FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID GROUP BY T1.Musical_ID ORDER BY T2.Name DESC | SELECT "T2"."Name", COUNT(*) FROM "actor" AS "T1" JOIN "musical" AS "T2" ON "T1"."Musical_ID" = "T2"."Musical_ID" GROUP BY "T1"."Musical_ID" ORDER BY "T2"."Name" DESC NULLS LAST | 0.172852 |
CREATE TABLE table_31958 ("Date" TEXT, "Opponent" TEXT, "Venue" TEXT, "Result" TEXT, "Attendance" FLOAT)
| Name the most attendance for tamworth with home venue | SELECT MAX("Attendance") FROM table_31958 WHERE "Opponent" = 'tamworth' AND "Venue" = 'home' | SELECT MAX("Attendance") FROM "table_31958" WHERE "Opponent" = 'tamworth' AND "Venue" = 'home' | 0.091797 |
CREATE TABLE VOTING_RECORD (CLASS_Senator_VOTE VARCHAR)
CREATE TABLE STUDENT (Fname VARCHAR, StuID VARCHAR)
| Find the distinct first names of the students who have class senator votes. | SELECT DISTINCT T1.Fname FROM STUDENT AS T1 JOIN VOTING_RECORD AS T2 ON T1.StuID = T2.CLASS_Senator_VOTE | SELECT DISTINCT "T1"."Fname" FROM "STUDENT" AS "T1" JOIN "VOTING_RECORD" AS "T2" ON "T1"."StuID" = "T2"."CLASS_Senator_VOTE" | 0.121094 |
CREATE TABLE table_name_75 (runner_s__up VARCHAR, tournament VARCHAR)
| What is Runner(s)-up, when Tournament is MCI Classic? | SELECT runner_s__up FROM table_name_75 WHERE tournament = "mci classic" | SELECT "runner_s__up" FROM "table_name_75" WHERE "mci classic" = "tournament" | 0.075195 |
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 prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses_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 cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures_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)
| what was patient 24547's first arterial catheterization procedure time during a year before? | SELECT procedures_icd.charttime FROM procedures_icd WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'arterial catheterization') AND procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 24547) AND DATETIME(procedures_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') ORDER BY procedures_icd.charttime LIMIT 1 | WITH "_u_1" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 24547 GROUP BY "hadm_id") SELECT "procedures_icd"."charttime" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'arterial catheterization' LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "procedures_icd"."hadm_id" WHERE DATETIME("procedures_icd"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_1"."" IS NULL ORDER BY "procedures_icd"."charttime" NULLS FIRST LIMIT 1 | 0.591797 |
CREATE TABLE table_11559 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
| What was the attendance of the South Melbourne away game? | SELECT COUNT("Crowd") FROM table_11559 WHERE "Away team" = 'south melbourne' | SELECT COUNT("Crowd") FROM "table_11559" WHERE "Away team" = 'south melbourne' | 0.076172 |
CREATE TABLE table_17675 ("Character" TEXT, "Portrayed by" TEXT, "Main cast seasons" TEXT, "Recurring cast seasons" TEXT, "# of episodes" FLOAT)
| Kevin lucas appears in which seasons? | SELECT "Recurring cast seasons" FROM table_17675 WHERE "Character" = 'Kevin Lucas' | SELECT "Recurring cast seasons" FROM "table_17675" WHERE "Character" = 'Kevin Lucas' | 0.082031 |
CREATE TABLE table_name_14 (population__2006_ INT, population__2011_ VARCHAR, area__km_2__ VARCHAR)
| What is the average population in 2006 that has more than 5 people in 2011 and an area 5.84km? | SELECT AVG(population__2006_) FROM table_name_14 WHERE population__2011_ > 5 AND area__km_2__ = 5.84 | SELECT AVG("population__2006_") FROM "table_name_14" WHERE "area__km_2__" = 5.84 AND "population__2011_" > 5 | 0.105469 |
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)
| Return a bar chart about the distribution of ACC_Road and School_ID , and group by attribute ACC_Home, display School_ID in ascending order. | SELECT ACC_Road, School_ID FROM basketball_match GROUP BY ACC_Home, ACC_Road ORDER BY School_ID | SELECT "ACC_Road", "School_ID" FROM "basketball_match" GROUP BY "ACC_Home", "ACC_Road" ORDER BY "School_ID" NULLS FIRST | 0.116211 |
CREATE TABLE table_name_92 (events INT, cuts_made VARCHAR, top_25 VARCHAR)
| Name the most events with cuts made more than 6 and top 25 more than 30 | SELECT MAX(events) FROM table_name_92 WHERE cuts_made > 6 AND top_25 > 30 | SELECT MAX("events") FROM "table_name_92" WHERE "cuts_made" > 6 AND "top_25" > 30 | 0.079102 |
CREATE TABLE Course (CID VARCHAR, CName VARCHAR, Credits INT, Instructor INT, Days VARCHAR, Hours VARCHAR, DNO INT)
CREATE TABLE Department (DNO INT, Division VARCHAR, DName VARCHAR, Room VARCHAR, Building VARCHAR, DPhone INT)
CREATE TABLE Minor_in (StuID INT, DNO INT)
CREATE TABLE Enrolled_in (StuID INT, CID VARCHAR, Grade VARCHAR)
CREATE TABLE Student (StuID INT, LName VARCHAR, Fname VARCHAR, Age INT, Sex VARCHAR, Major INT, Advisor INT, city_code VARCHAR)
CREATE TABLE Faculty (FacID INT, Lname VARCHAR, Fname VARCHAR, Rank VARCHAR, Sex VARCHAR, Phone INT, Room VARCHAR, Building VARCHAR)
CREATE TABLE Member_of (FacID INT, DNO INT, Appt_Type VARCHAR)
CREATE TABLE Gradeconversion (lettergrade VARCHAR, gradepoint FLOAT)
| What is the number of each course name that have at least five enrollments? Show me a bar chart, show y axis from high to low order. | SELECT T1.CName, COUNT(T1.CName) FROM Course AS T1 JOIN Enrolled_in AS T2 ON T1.CID = T2.CID GROUP BY T1.CName, T2.CID HAVING COUNT(*) >= 5 ORDER BY COUNT(T1.CName) DESC | SELECT "T1"."CName", COUNT("T1"."CName") FROM "Course" AS "T1" JOIN "Enrolled_in" AS "T2" ON "T1"."CID" = "T2"."CID" GROUP BY "T1"."CName", "T2"."CID" HAVING COUNT(*) >= 5 ORDER BY COUNT("T1"."CName") DESC NULLS LAST | 0.210938 |
CREATE TABLE View_Unit_Status (apt_id INT, apt_booking_id INT, status_date DATETIME, available_yn BIT)
CREATE TABLE Apartment_Facilities (apt_id INT, facility_code CHAR)
CREATE TABLE Guests (guest_id INT, gender_code CHAR, guest_first_name VARCHAR, guest_last_name VARCHAR, date_of_birth DATETIME)
CREATE TABLE Apartments (apt_id INT, building_id INT, apt_type_code CHAR, apt_number CHAR, bathroom_count INT, bedroom_count INT, room_count CHAR)
CREATE TABLE Apartment_Buildings (building_id INT, building_short_name CHAR, building_full_name VARCHAR, building_description VARCHAR, building_address VARCHAR, building_manager VARCHAR, building_phone VARCHAR)
CREATE TABLE Apartment_Bookings (apt_booking_id INT, apt_id INT, guest_id INT, booking_status_code CHAR, booking_start_date DATETIME, booking_end_date DATETIME)
| Give me a bar chart for room_count of each apt number, and order from low to high by the apt_number. | SELECT apt_number, room_count FROM Apartments ORDER BY apt_number | SELECT "apt_number", "room_count" FROM "Apartments" ORDER BY "apt_number" NULLS FIRST | 0.083008 |
CREATE TABLE table_204_693 (id DECIMAL, "place" TEXT, "total" DECIMAL, "men" DECIMAL, "women" DECIMAL, "children" DECIMAL, "elderly" DECIMAL, "serbs" DECIMAL, "jews" DECIMAL, "romani" DECIMAL, "rusyns" DECIMAL, "hungarians" DECIMAL, "russians" DECIMAL)
| what was the average number of victims for all places ? | SELECT AVG("total") FROM table_204_693 | SELECT AVG("total") FROM "table_204_693" | 0.039063 |
CREATE TABLE table_name_72 (runner_up VARCHAR, season VARCHAR)
| Which Runner-up played in the Season of 2000 01? | SELECT runner_up FROM table_name_72 WHERE season = "2000–01" | SELECT "runner_up" FROM "table_name_72" WHERE "2000–01" = "season" | 0.064453 |
CREATE TABLE Faculty (FacID INT, Lname VARCHAR, Fname VARCHAR, Rank VARCHAR, Sex VARCHAR, Phone INT, Room VARCHAR, Building VARCHAR)
CREATE TABLE Activity (actid INT, activity_name VARCHAR)
CREATE TABLE Student (StuID INT, LName VARCHAR, Fname VARCHAR, Age INT, Sex VARCHAR, Major INT, Advisor INT, city_code VARCHAR)
CREATE TABLE Faculty_Participates_in (FacID INT, actid INT)
CREATE TABLE Participates_in (stuid INT, actid INT)
| Return a bar chart on how many faculty members does each building have? List the result with the name of the building, order from high to low by the x axis. | SELECT Building, COUNT(*) FROM Faculty GROUP BY Building ORDER BY Building DESC | SELECT "Building", COUNT(*) FROM "Faculty" GROUP BY "Building" ORDER BY "Building" DESC NULLS LAST | 0.095703 |
CREATE TABLE table_name_13 (gold INT, total VARCHAR, bronze VARCHAR, nation VARCHAR)
| What's the largest number of Gold medals won when bronze won are 2 and total won are over 7 by Hungary? | SELECT MAX(gold) FROM table_name_13 WHERE bronze = 2 AND nation = "hungary" AND total > 7 | SELECT MAX("gold") FROM "table_name_13" WHERE "bronze" = 2 AND "hungary" = "nation" AND "total" > 7 | 0.09668 |
CREATE TABLE table_1108394_6 (staten_island VARCHAR, brooklyn VARCHAR)
| What was Staten Island when Brooklyn was 940? | SELECT staten_island FROM table_1108394_6 WHERE brooklyn = "940" | SELECT "staten_island" FROM "table_1108394_6" WHERE "940" = "brooklyn" | 0.068359 |
CREATE TABLE table_33985 ("Tournament" TEXT, "2006" TEXT, "2007" TEXT, "2008-12" TEXT, "2013" TEXT)
| Which 2008-12 has a 2007 of A, and a Tournament of us open? | SELECT "2008-12" FROM table_33985 WHERE "2007" = 'a' AND "Tournament" = 'us open' | SELECT "2008-12" FROM "table_33985" WHERE "2007" = 'a' AND "Tournament" = 'us open' | 0.081055 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE 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)
| how many patients tested with abnormal lab test status delta had the lab test named thyroxine (t4), free? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE lab.flag = "delta" AND lab.label = "Thyroxine (T4), Free" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Thyroxine (T4), Free" = "lab"."label" AND "delta" = "lab"."flag" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.189453 |
CREATE TABLE table_24865763_2 (gt2_winning_team VARCHAR, lmp1_winning_team VARCHAR)
| Who was the GT2 Winning Team if Greg Mansell Leo Mansell was the LMP1 Winning Team? | SELECT gt2_winning_team FROM table_24865763_2 WHERE lmp1_winning_team = "Greg Mansell Leo Mansell" | SELECT "gt2_winning_team" FROM "table_24865763_2" WHERE "Greg Mansell Leo Mansell" = "lmp1_winning_team" | 0.101563 |
CREATE TABLE table_32918 ("Res." TEXT, "Record" TEXT, "Opponent" TEXT, "Method" TEXT, "Round" FLOAT, "Time" TEXT, "Location" TEXT)
| What was the average round when he had a 3-0 record? | SELECT AVG("Round") FROM table_32918 WHERE "Record" = '3-0' | SELECT AVG("Round") FROM "table_32918" WHERE "Record" = '3-0' | 0.05957 |
CREATE TABLE table_name_92 (outcome VARCHAR, opponent VARCHAR)
| The match against Paul-Henri Mathieu had what outcome? | SELECT outcome FROM table_name_92 WHERE opponent = "paul-henri mathieu" | SELECT "outcome" FROM "table_name_92" WHERE "opponent" = "paul-henri mathieu" | 0.075195 |
CREATE TABLE table_34925 ("Team" TEXT, "Driver" TEXT, "Laps" FLOAT, "Time" TEXT, "Grid" FLOAT)
| What is the total number of Laps when collision shows for time for Switzerland and less than 11 for grid? | SELECT COUNT("Laps") FROM table_34925 WHERE "Time" = 'collision' AND "Team" = 'switzerland' AND "Grid" < '11' | SELECT COUNT("Laps") FROM "table_34925" WHERE "Grid" < '11' AND "Team" = 'switzerland' AND "Time" = 'collision' | 0.108398 |
CREATE TABLE table_name_98 (opponent VARCHAR, attendance VARCHAR)
| Who was the opponent with an attendance of 628? | SELECT opponent FROM table_name_98 WHERE attendance = "628" | SELECT "opponent" FROM "table_name_98" WHERE "628" = "attendance" | 0.063477 |
CREATE TABLE table_204_798 (id DECIMAL, "year" DECIMAL, "competition" TEXT, "venue" TEXT, "position" TEXT, "notes" TEXT)
| in which years did fumio finish 3rd and 2nd ? | SELECT "year" FROM table_204_798 WHERE "position" IN (3, 2) | SELECT "year" FROM "table_204_798" WHERE "position" IN (3, 2) | 0.05957 |
CREATE TABLE table_63847 ("Year" FLOAT, "Game" TEXT, "Genre" TEXT, "Platform ( s ) " TEXT, "Developer ( s ) " TEXT)
| Who were the developers for Portal? | SELECT "Developer(s)" FROM table_63847 WHERE "Game" = 'portal' | SELECT "Developer(s)" FROM "table_63847" WHERE "Game" = 'portal' | 0.0625 |
CREATE TABLE table_15618241_1 (purse___us INT, year VARCHAR)
| Name the least purse for 2011 | SELECT MIN(purse___us) AS $__ FROM table_15618241_1 WHERE year = 2011 | SELECT MIN("purse___us") AS $__ FROM "table_15618241_1" WHERE "year" = 2011 | 0.073242 |
CREATE TABLE table_69666 ("Round" FLOAT, "Date" TEXT, "Grand Prix" TEXT, "Circuit" TEXT, "125cc winner" TEXT, "250cc winner" TEXT, "MotoGP winner" TEXT, "Report" TEXT)
| Name the grand prix for casey stoner and circuit of losail | SELECT "Grand Prix" FROM table_69666 WHERE "MotoGP winner" = 'casey stoner' AND "Circuit" = 'losail' | SELECT "Grand Prix" FROM "table_69666" WHERE "Circuit" = 'losail' AND "MotoGP winner" = 'casey stoner' | 0.099609 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| Find the drug code and drug type of Lopinavir-Ritonavir. | SELECT prescriptions.drug_type, prescriptions.formulary_drug_cd FROM prescriptions WHERE prescriptions.drug = "Lopinavir-Ritonavir" | SELECT "prescriptions"."drug_type", "prescriptions"."formulary_drug_cd" FROM "prescriptions" WHERE "Lopinavir-Ritonavir" = "prescriptions"."drug" | 0.141602 |
CREATE TABLE guests (guest_id DECIMAL, gender_code TEXT, guest_first_name TEXT, guest_last_name TEXT, date_of_birth TIME)
CREATE TABLE apartment_facilities (apt_id DECIMAL, facility_code TEXT)
CREATE TABLE apartment_buildings (building_id DECIMAL, building_short_name TEXT, building_full_name TEXT, building_description TEXT, building_address TEXT, building_manager TEXT, building_phone TEXT)
CREATE TABLE apartment_bookings (apt_booking_id DECIMAL, apt_id DECIMAL, guest_id DECIMAL, booking_status_code TEXT, booking_start_date TIME, booking_end_date TIME)
CREATE TABLE apartments (apt_id DECIMAL, building_id DECIMAL, apt_type_code TEXT, apt_number TEXT, bathroom_count DECIMAL, bedroom_count DECIMAL, room_count TEXT)
CREATE TABLE view_unit_status (apt_id DECIMAL, apt_booking_id DECIMAL, status_date TIME, available_yn others)
| Which apartments have bookings with both status codes 'Provisional' and 'Confirmed'? Give me the apartment numbers. | SELECT T2.apt_number FROM apartment_bookings AS T1 JOIN apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T1.booking_status_code = "Confirmed" INTERSECT SELECT T2.apt_number FROM apartment_bookings AS T1 JOIN apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T1.booking_status_code = "Provisional" | SELECT "T2"."apt_number" FROM "apartment_bookings" AS "T1" JOIN "apartments" AS "T2" ON "T1"."apt_id" = "T2"."apt_id" WHERE "Confirmed" = "T1"."booking_status_code" INTERSECT SELECT "T2"."apt_number" FROM "apartment_bookings" AS "T1" JOIN "apartments" AS "T2" ON "T1"."apt_id" = "T2"."apt_id" WHERE "Provisional" = "T1"."booking_status_code" | 0.333008 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
| tell me the number of patients diagnosed with subarachnoid hemorrhage who have iv bolus route of drug administration. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Subarachnoid hemorrhage" AND prescriptions.route = "IV BOLUS" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Subarachnoid hemorrhage" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "IV BOLUS" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.303711 |
CREATE TABLE table_204_862 (id DECIMAL, "rank" DECIMAL, "bib" DECIMAL, "athlete" TEXT, "country" TEXT, "run 1" TEXT, "run 2" TEXT, "total" TEXT, "behind" DECIMAL)
| who finished before samuel edney ? | SELECT "athlete" FROM table_204_862 WHERE "rank" = (SELECT "rank" FROM table_204_862 WHERE "athlete" = 'samuel edney') - 1 | SELECT "athlete" FROM "table_204_862" WHERE "rank" = (SELECT "rank" FROM "table_204_862" WHERE "athlete" = 'samuel edney') - 1 | 0.123047 |
CREATE TABLE table_67063 ("Year" TEXT, "Start" TEXT, "Qual" TEXT, "Rank" TEXT, "Finish" TEXT, "Laps" FLOAT)
| What was Johnnie Parsons rank when he completed over 200 laps? | SELECT "Rank" FROM table_67063 WHERE "Laps" > '200' | SELECT "Rank" FROM "table_67063" WHERE "Laps" > '200' | 0.051758 |
CREATE TABLE table_train_251 ("id" INT, "gender" TEXT, "left_ventricular_ejection_fraction_lvef" INT, "allergy_to_rabbit_proteins" BOOLEAN, "recurring_alcohol_related_legal_problem" BOOLEAN, "hyperlipidemia" BOOLEAN, "fasting_ldl_cholesterol" INT, "baseline_hemoglobin_hgb" FLOAT, "NOUSE" FLOAT)
| recurring alcohol _ related legal problem | SELECT * FROM table_train_251 WHERE recurring_alcohol_related_legal_problem = 1 | SELECT * FROM "table_train_251" WHERE "recurring_alcohol_related_legal_problem" = 1 | 0.081055 |
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)
| A bar chart about what are the different affiliations, and what is the total enrollment of schools founded after 1850 for each enrollment type? | SELECT Affiliation, SUM(Enrollment) FROM university WHERE Founded > 1850 GROUP BY Affiliation | SELECT "Affiliation", SUM("Enrollment") FROM "university" WHERE "Founded" > 1850 GROUP BY "Affiliation" | 0.100586 |
CREATE TABLE table_name_63 (attendance VARCHAR, game_site VARCHAR, opponent VARCHAR)
| What was the attendance at the Meadowlands against the New England Patriots? | SELECT attendance FROM table_name_63 WHERE game_site = "the meadowlands" AND opponent = "new england patriots" | SELECT "attendance" FROM "table_name_63" WHERE "game_site" = "the meadowlands" AND "new england patriots" = "opponent" | 0.115234 |
CREATE TABLE table_name_31 (position VARCHAR, wins VARCHAR, season VARCHAR)
| Which position has 2 wins in 1992? | SELECT position FROM table_name_31 WHERE wins = "2" AND season = 1992 | SELECT "position" FROM "table_name_31" WHERE "2" = "wins" AND "season" = 1992 | 0.075195 |
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE 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 patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE 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 outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
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 chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
| what were the top three most frequent diagnoses that patients were given within 2 months after being diagnosed with hiccough until 2 years ago? | SELECT d_icd_diagnoses.short_title FROM d_icd_diagnoses WHERE d_icd_diagnoses.icd9_code IN (SELECT t3.icd9_code FROM (SELECT t2.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'hiccough') AND DATETIME(diagnoses_icd.charttime) <= DATETIME(CURRENT_TIME(), '-2 year')) AS t1 JOIN (SELECT admissions.subject_id, diagnoses_icd.icd9_code, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE DATETIME(diagnoses_icd.charttime) <= DATETIME(CURRENT_TIME(), '-2 year')) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.charttime AND DATETIME(t2.charttime) BETWEEN DATETIME(t1.charttime) AND DATETIME(t1.charttime, '+2 month') GROUP BY t2.icd9_code) AS t3 WHERE t3.c1 <= 3) | WITH "t2" AS (SELECT "admissions"."subject_id", "diagnoses_icd"."icd9_code", "diagnoses_icd"."charttime" FROM "diagnoses_icd" JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" WHERE DATETIME("diagnoses_icd"."charttime") <= DATETIME(CURRENT_TIME(), '-2 year')), "t3" AS (SELECT "t2"."icd9_code", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'hiccough' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" JOIN "t2" AS "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND "diagnoses_icd"."charttime" < "t2"."charttime" AND DATETIME("diagnoses_icd"."charttime") <= DATETIME("t2"."charttime") AND DATETIME("diagnoses_icd"."charttime", '+2 month') >= DATETIME("t2"."charttime") WHERE DATETIME("diagnoses_icd"."charttime") <= DATETIME(CURRENT_TIME(), '-2 year') GROUP BY "t2"."icd9_code"), "_u_1" AS (SELECT "t3"."icd9_code" FROM "t3" AS "t3" WHERE "t3"."c1" <= 3 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 | 1.219727 |
CREATE TABLE table_name_36 (high_points VARCHAR, date VARCHAR)
| What were the high points on june 20? | SELECT high_points FROM table_name_36 WHERE date = "june 20" | SELECT "high_points" FROM "table_name_36" WHERE "date" = "june 20" | 0.064453 |
CREATE TABLE table_35269 ("Outcome" TEXT, "Date" TEXT, "Tournament" TEXT, "Surface" TEXT, "Partner" TEXT, "Opponents in the final" TEXT, "Score" TEXT)
| What is the Outcome of the jounieh tournament? | SELECT "Outcome" FROM table_35269 WHERE "Tournament" = 'jounieh' | SELECT "Outcome" FROM "table_35269" WHERE "Tournament" = 'jounieh' | 0.064453 |
CREATE TABLE table_4269 ("Route Number" FLOAT, "Origin" TEXT, "Intermediate stops" TEXT, "Destination" TEXT, "Provider" TEXT)
| Who are all providers with destination of Liverpool? | SELECT "Provider" FROM table_4269 WHERE "Destination" = 'Liverpool' | SELECT "Provider" FROM "table_4269" WHERE "Destination" = 'Liverpool' | 0.067383 |
CREATE TABLE table_1837 ("P" FLOAT, "Player" TEXT, "Position" TEXT, "SPL" FLOAT, "League Cup" FLOAT, "Scottish Cup" FLOAT, "UEFA Champions League" FLOAT, "Total" FLOAT)
| When koki mizuno is the player how man positions are there? | SELECT COUNT("Position") FROM table_1837 WHERE "Player" = 'Koki Mizuno' | SELECT COUNT("Position") FROM "table_1837" WHERE "Player" = 'Koki Mizuno' | 0.071289 |
CREATE TABLE table_49748 ("Months in Malayalam Era" TEXT, "In Malayalam" TEXT, "Gregorian Calendar" TEXT, "Tamil calendar" TEXT, "Saka era" TEXT, "Sign of Zodiac" TEXT)
| WHAT IS THE SAKA ERA WITH MONTHS IN MEDAM? | SELECT "Saka era" FROM table_49748 WHERE "Months in Malayalam Era" = 'medam' | SELECT "Saka era" FROM "table_49748" WHERE "Months in Malayalam Era" = 'medam' | 0.076172 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| how many patients whose age is less than 74 and drug type is base? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "74" AND prescriptions.drug_type = "BASE" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "BASE" = "prescriptions"."drug_type" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "74" > "demographic"."age" | 0.212891 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| what is procedure icd9 code and procedure long title of subject id 813? | SELECT procedures.icd9_code, procedures.long_title FROM procedures WHERE procedures.subject_id = "813" | SELECT "procedures"."icd9_code", "procedures"."long_title" FROM "procedures" WHERE "813" = "procedures"."subject_id" | 0.113281 |
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount 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 microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_icd_procedures (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 procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost 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 patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod 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)
| what was the total amount of promote w/fiber intake that patient 11914 had? | SELECT SUM(inputevents_cv.amount) FROM inputevents_cv WHERE inputevents_cv.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 11914)) AND inputevents_cv.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'promote w/fiber' AND d_items.linksto = 'inputevents_cv') | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 11914 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'promote w/fiber' AND "d_items"."linksto" = 'inputevents_cv' GROUP BY "itemid") SELECT SUM("inputevents_cv"."amount") FROM "inputevents_cv" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "inputevents_cv"."icustay_id" LEFT JOIN "_u_2" AS "_u_2" ON "_u_2"."" = "inputevents_cv"."itemid" WHERE NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL | 0.692383 |
CREATE TABLE table_name_37 (platform VARCHAR, publisher VARCHAR)
| For what platform does Mindark publish? | SELECT platform FROM table_name_37 WHERE publisher = "mindark" | SELECT "platform" FROM "table_name_37" WHERE "mindark" = "publisher" | 0.066406 |
CREATE TABLE table_1984 ("Name" TEXT, "Home or representative town or province" TEXT, "Age" FLOAT, "Season" TEXT, "Total days in PBB House" FLOAT, "Duration" TEXT, "Status" TEXT)
| When day 8-36 is the duration what is the season? | SELECT "Season" FROM table_1984 WHERE "Duration" = 'Day 8-36' | SELECT "Season" FROM "table_1984" WHERE "Duration" = 'Day 8-36' | 0.061523 |
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID 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 jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
| For those employees who was hired before 2002-06-21, find hire_date and the average of salary bin hire_date by time, and visualize them by a bar chart. | SELECT HIRE_DATE, AVG(SALARY) FROM employees WHERE HIRE_DATE < '2002-06-21' | SELECT "HIRE_DATE", AVG("SALARY") FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' | 0.081055 |
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 CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment 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 ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE 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 ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
| Answers per Fiscal Quarter by DisplayName. | SELECT pt.Name, Posts = COUNT(*), Views = SUM(COALESCE(p.ViewCount, parent.ViewCount)), Start = TIME_TO_STR(@startDate, '%B'), Finish = TIME_TO_STR(@endDate, '%B') FROM Posts AS p LEFT JOIN Posts AS parent ON p.ParentId = parent.Id JOIN Users AS u ON p.OwnerUserId = u.Id JOIN PostTypes AS pt ON p.PostTypeId = pt.Id WHERE u.DisplayName = @user AND p.CreationDate BETWEEN @startDate AND @endDate GROUP BY ROLLUP (pt.Name) | SELECT "pt"."Name", "Posts" = COUNT(*), "Views" = SUM(COALESCE("p"."ViewCount", "parent"."ViewCount")), "Start" = TO_CHAR(CAST($startDate AS TIMESTAMPNTZ), 'mmmm'), "Finish" = TO_CHAR(CAST($endDate AS TIMESTAMPNTZ), 'mmmm') FROM "Posts" AS "p" LEFT JOIN "Posts" AS "parent" ON "p"."ParentId" = "parent"."Id" JOIN "PostTypes" AS "pt" ON "p"."PostTypeId" = "pt"."Id" JOIN "Users" AS "u" ON "p"."OwnerUserId" = "u"."Id" AND "u"."DisplayName" = $user WHERE "p"."CreationDate" <= $endDate AND "p"."CreationDate" >= $startDate GROUP BY ROLLUP ("pt"."Name") | 0.537109 |
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE area (course_id INT, area VARCHAR)
| Which professors are teaching the Core courses next Winter ? | SELECT DISTINCT instructor.name FROM course INNER JOIN course_offering ON course.course_id = course_offering.course_id INNER JOIN semester ON semester.semester_id = course_offering.semester INNER JOIN program_course ON program_course.course_id = course_offering.course_id INNER JOIN offering_instructor ON offering_instructor.offering_id = course_offering.offering_id INNER JOIN instructor ON offering_instructor.instructor_id = instructor.instructor_id WHERE program_course.category LIKE '%Core%' AND semester.semester = 'Winter' AND semester.year = 2017 | SELECT DISTINCT "instructor"."name" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "offering_instructor" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "program_course" ON "course_offering"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%Core%' JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'Winter' AND "semester"."year" = 2017 JOIN "instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" | 0.577148 |
CREATE TABLE table_33475 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
| What was the away team's score when home team Carlton scored 15.16 (106)? | SELECT "Away team score" FROM table_33475 WHERE "Home team score" = '15.16 (106)' AND "Home team" = 'carlton' | SELECT "Away team score" FROM "table_33475" WHERE "Home team score" = '15.16 (106)' AND "Home team" = 'carlton' | 0.108398 |
CREATE TABLE table_name_14 (date VARCHAR, record VARCHAR)
| On what date was the record 8 6 3? | SELECT date FROM table_name_14 WHERE record = "8–6–3" | SELECT "date" FROM "table_name_14" WHERE "8–6–3" = "record" | 0.057617 |
CREATE TABLE table_24302 ("Census division" TEXT, "Area ( km\\u00b2 ) " TEXT, "Pop. ( 2011 ) " FLOAT, "Pop. ( 2006 ) " FLOAT, "Pop. ( 2001 ) " FLOAT, "Pop. ( 1996 ) " FLOAT)
| How many people lived in the census division with an area of 15767.99 km2 in 1996? | SELECT "Pop. (1996)" FROM table_24302 WHERE "Area (km\u00b2)" = '15767.99' | SELECT "Pop. (1996)" FROM "table_24302" WHERE "Area (km\u00b2)" = '15767.99' | 0.074219 |
CREATE TABLE workshop (workshop_id DECIMAL, date TEXT, venue TEXT, name TEXT)
CREATE TABLE submission (submission_id DECIMAL, scores DECIMAL, author TEXT, college TEXT)
CREATE TABLE acceptance (submission_id DECIMAL, workshop_id DECIMAL, result TEXT)
| Show the authors who have submissions to more than one workshop. | SELECT T2.author FROM acceptance AS T1 JOIN submission AS T2 ON T1.submission_id = T2.submission_id GROUP BY T2.author HAVING COUNT(DISTINCT T1.workshop_id) > 1 | SELECT "T2"."author" FROM "acceptance" AS "T1" JOIN "submission" AS "T2" ON "T1"."submission_id" = "T2"."submission_id" GROUP BY "T2"."author" HAVING COUNT(DISTINCT "T1"."workshop_id") > 1 | 0.183594 |
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE 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 city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note 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 food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description 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 days (days_code VARCHAR, 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 time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
| i want to travel from BALTIMORE to WASHINGTON on a MONDAY | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, days, flight WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'WASHINGTON' AND days.day_name = 'MONDAY' AND flight.flight_days = days.days_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BALTIMORE' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'BALTIMORE' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "days" ON "days"."day_name" = 'MONDAY' AND "days"."days_code" = "flight"."flight_days" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'WASHINGTON' | 0.588867 |
CREATE TABLE table_204_530 (id DECIMAL, "type" TEXT, "stage" DECIMAL, "cyclist" TEXT, "team" TEXT, "reason" TEXT)
| which stage had the most cyclists withdraw ? | SELECT "stage" FROM table_204_530 GROUP BY "stage" ORDER BY COUNT("cyclist") DESC LIMIT 1 | SELECT "stage" FROM "table_204_530" GROUP BY "stage" ORDER BY COUNT("cyclist") DESC NULLS LAST LIMIT 1 | 0.099609 |
CREATE TABLE table_203_486 (id DECIMAL, "place" DECIMAL, "team" TEXT, "matches" DECIMAL, "won" DECIMAL, "drawn" DECIMAL, "lost" DECIMAL, "difference" TEXT, "points" DECIMAL)
| which team won more matches , finland or norway ? | SELECT "team" FROM table_203_486 WHERE "team" IN ('finland', 'norway') ORDER BY "won" DESC LIMIT 1 | SELECT "team" FROM "table_203_486" WHERE "team" IN ('finland', 'norway') ORDER BY "won" DESC NULLS LAST LIMIT 1 | 0.108398 |
CREATE TABLE table_74184 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Record" TEXT)
| How many games had Robin Lopez (10) for the most rebounds? | SELECT COUNT("Game") FROM table_74184 WHERE "High rebounds" = 'Robin Lopez (10)' | SELECT COUNT("Game") FROM "table_74184" WHERE "High rebounds" = 'Robin Lopez (10)' | 0.080078 |
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
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 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 ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE 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 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 Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE 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 ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskTypes (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 VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
| select Id from Posts. | SELECT Id FROM Posts | SELECT "Id" FROM "Posts" | 0.023438 |
CREATE TABLE Office_locations (building_id INT, company_id INT, move_in_year INT)
CREATE TABLE buildings (id INT, name TEXT, City TEXT, Height INT, Stories INT, Status TEXT)
CREATE TABLE Companies (id INT, name TEXT, Headquarters TEXT, Industry TEXT, Sales_billion FLOAT, Profits_billion FLOAT, Assets_billion FLOAT, Market_Value_billion TEXT)
| Return a bar chart showing the number of each company whose office is located in the building, and order in desc by the bar. | SELECT T3.name, COUNT(T3.name) FROM Office_locations AS T1 JOIN buildings AS T2 ON T1.building_id = T2.id JOIN Companies AS T3 ON T1.company_id = T3.id GROUP BY T3.name ORDER BY T3.name DESC | SELECT "T3"."name", COUNT("T3"."name") FROM "Office_locations" AS "T1" JOIN "buildings" AS "T2" ON "T1"."building_id" = "T2"."id" JOIN "Companies" AS "T3" ON "T1"."company_id" = "T3"."id" GROUP BY "T3"."name" ORDER BY "T3"."name" DESC NULLS LAST | 0.239258 |
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 jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY 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)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME 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, a bar chart shows the distribution of job_id and the sum of employee_id , and group by attribute job_id. | SELECT JOB_ID, SUM(EMPLOYEE_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) GROUP BY JOB_ID | SELECT "JOB_ID", SUM("EMPLOYEE_ID") FROM "employees" WHERE NOT "EMPLOYEE_ID" IN (SELECT "EMPLOYEE_ID" FROM "job_history") GROUP BY "JOB_ID" | 0.135742 |
CREATE TABLE table_47918 ("Team" TEXT, "Outgoing manager" TEXT, "Manner of departure" TEXT, "Date of vacancy" TEXT, "Replaced by" TEXT, "Date of appointment" TEXT, "Position in table" TEXT)
| Who is the outgoing manager who was replaced by j rgen klopp? | SELECT "Outgoing manager" FROM table_47918 WHERE "Replaced by" = 'jürgen klopp' | SELECT "Outgoing manager" FROM "table_47918" WHERE "Replaced by" = 'jürgen klopp' | 0.079102 |
CREATE TABLE table_50274 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Record" TEXT)
| Which Location Attendance has a Game larger than 67, and a Team of @ charlotte? | SELECT "Location Attendance" FROM table_50274 WHERE "Game" > '67' AND "Team" = '@ charlotte' | SELECT "Location Attendance" FROM "table_50274" WHERE "Game" > '67' AND "Team" = '@ charlotte' | 0.091797 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| what is the number of patients whose admission type is emergency and drug name is hydrocortisone cream 0.5%? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND prescriptions.drug = "Hydrocortisone Cream 0.5%" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Hydrocortisone Cream 0.5%" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "EMERGENCY" = "demographic"."admission_type" | 0.246094 |
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 treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime 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 diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
| tell me the daily minimum respiration of patient 010-15363 since 62 months ago. | SELECT MIN(vitalperiodic.respiration) FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '010-15363')) AND NOT vitalperiodic.respiration IS NULL AND DATETIME(vitalperiodic.observationtime) >= DATETIME(CURRENT_TIME(), '-62 month') GROUP BY STRFTIME('%y-%m-%d', vitalperiodic.observationtime) | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '010-15363' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT MIN("vitalperiodic"."respiration") FROM "vitalperiodic" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "vitalperiodic"."patientunitstayid" WHERE DATETIME("vitalperiodic"."observationtime") >= DATETIME(CURRENT_TIME(), '-62 month') AND NOT "_u_1"."" IS NULL AND NOT "vitalperiodic"."respiration" IS NULL GROUP BY STRFTIME('%y-%m-%d', "vitalperiodic"."observationtime") | 0.708984 |
CREATE TABLE table_train_187 ("id" INT, "pregnancy_or_lactation" BOOLEAN, "renal_disease" BOOLEAN, "diabetic" TEXT, "liver_disease" BOOLEAN, "NOUSE" FLOAT)
| chronic liver disease | SELECT * FROM table_train_187 WHERE liver_disease = 1 | SELECT * FROM "table_train_187" WHERE "liver_disease" = 1 | 0.055664 |
CREATE TABLE table_21522 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Record" TEXT)
| What was the W-L record when HIgh Points was andre miller (30)? | SELECT "Record" FROM table_21522 WHERE "High points" = 'Andre Miller (30)' | SELECT "Record" FROM "table_21522" WHERE "High points" = 'Andre Miller (30)' | 0.074219 |
CREATE TABLE table_1334 ("Week #" TEXT, "Theme" TEXT, "Song choice" TEXT, "Original artist" TEXT, "Order #" TEXT, "Result" TEXT)
| Who is the original artist for the theme 'Year they were born? | SELECT "Original artist" FROM table_1334 WHERE "Theme" = 'Year They Were Born' | SELECT "Original artist" FROM "table_1334" WHERE "Theme" = 'Year They Were Born' | 0.078125 |
CREATE TABLE table_name_82 (wins INT, conceded VARCHAR, draws VARCHAR, losses VARCHAR)
| What's the sum of WIns with Draws that's larger than 1, Losses that's smaller than 4, and Conceded of 20? | SELECT SUM(wins) FROM table_name_82 WHERE draws > 1 AND losses < 4 AND conceded = 20 | SELECT SUM("wins") FROM "table_name_82" WHERE "conceded" = 20 AND "draws" > 1 AND "losses" < 4 | 0.091797 |
CREATE TABLE table_9796 ("Date" TEXT, "Home captain" TEXT, "Away captain" TEXT, "Venue" TEXT, "Result" TEXT)
| What is the name of the home captain when the result was Aus by 32 runs? | SELECT "Home captain" FROM table_9796 WHERE "Result" = 'aus by 32 runs' | SELECT "Home captain" FROM "table_9796" WHERE "Result" = 'aus by 32 runs' | 0.071289 |
CREATE TABLE table_name_65 (premiership_years VARCHAR, years_in_competition VARCHAR)
| What was the Premiership Years that had in the Competition of 1983-1992? | SELECT premiership_years FROM table_name_65 WHERE years_in_competition = "1983-1992" | SELECT "premiership_years" FROM "table_name_65" WHERE "1983-1992" = "years_in_competition" | 0.087891 |
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
| What number of credits do I get for 425 ? | SELECT DISTINCT credits FROM course WHERE department = 'EECS' AND number = 425 | SELECT DISTINCT "credits" FROM "course" WHERE "department" = 'EECS' AND "number" = 425 | 0.083984 |
CREATE TABLE table_76320 ("Game" FLOAT, "January" FLOAT, "Opponent" TEXT, "Score" TEXT, "Record" TEXT)
| Who was the opponent with the record of 15-21-6? | SELECT "Opponent" FROM table_76320 WHERE "Record" = '15-21-6' | SELECT "Opponent" FROM "table_76320" WHERE "Record" = '15-21-6' | 0.061523 |
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_icd_diagnoses (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 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_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto 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 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 inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE 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)
| what is the yearly minimum intake of .9% normal saline that patient 23721 is getting since 109 months ago? | SELECT MIN(inputevents_cv.amount) FROM inputevents_cv WHERE inputevents_cv.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 23721)) AND inputevents_cv.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = '.9% normal saline' AND d_items.linksto = 'inputevents_cv') AND DATETIME(inputevents_cv.charttime) >= DATETIME(CURRENT_TIME(), '-109 month') GROUP BY STRFTIME('%y', inputevents_cv.charttime) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 23721 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = '.9% normal saline' AND "d_items"."linksto" = 'inputevents_cv' GROUP BY "itemid") SELECT MIN("inputevents_cv"."amount") FROM "inputevents_cv" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "inputevents_cv"."icustay_id" LEFT JOIN "_u_2" AS "_u_2" ON "_u_2"."" = "inputevents_cv"."itemid" WHERE DATETIME("inputevents_cv"."charttime") >= DATETIME(CURRENT_TIME(), '-109 month') AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL GROUP BY STRFTIME('%y', "inputevents_cv"."charttime") | 0.830078 |
CREATE TABLE table_18205 ("District" TEXT, "Incumbent" TEXT, "Party" TEXT, "First elected" FLOAT, "Status" TEXT, "Opponent" TEXT)
| What parties are represented in Massachusetts4 district? | SELECT "Party" FROM table_18205 WHERE "District" = 'Massachusetts4' | SELECT "Party" FROM "table_18205" WHERE "District" = 'Massachusetts4' | 0.067383 |
CREATE TABLE table_78733 ("Date" TEXT, "Airline" TEXT, "Aircraft type" TEXT, "Registration" TEXT, "People on board" FLOAT, "Fatalities" FLOAT)
| What is the number of people on board at Iberia Airline, with the aircraft type of lockheed l-1049g? | SELECT AVG("People on board") FROM table_78733 WHERE "Airline" = 'iberia' AND "Aircraft type" = 'lockheed l-1049g' | SELECT AVG("People on board") FROM "table_78733" WHERE "Aircraft type" = 'lockheed l-1049g' AND "Airline" = 'iberia' | 0.113281 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
| count the number of patients whose ethnicity is black/haitian and admission year is less than 2125? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "BLACK/HAITIAN" AND demographic.admityear < "2125" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2125" > "demographic"."admityear" AND "BLACK/HAITIAN" = "demographic"."ethnicity" | 0.15332 |
CREATE TABLE table_1140080_2 (race VARCHAR, constructor VARCHAR)
| what's the race winner with constructor renault | SELECT race AS Winner FROM table_1140080_2 WHERE constructor = "Renault" | SELECT "race" AS "Winner" FROM "table_1140080_2" WHERE "Renault" = "constructor" | 0.078125 |
CREATE TABLE table_63265 ("City of license" TEXT, "Identifier" TEXT, "Frequency" TEXT, "Power" TEXT, "Class" TEXT, "RECNet" TEXT)
| what is the recnet when the city of license is peterborough? | SELECT "RECNet" FROM table_63265 WHERE "City of license" = 'peterborough' | SELECT "RECNet" FROM "table_63265" WHERE "City of license" = 'peterborough' | 0.073242 |
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange 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 SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE 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 PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
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 PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
| Downvoted posts with no comments. | SELECT p.Id AS "post_link", p.CommentCount FROM Posts AS p LEFT JOIN Votes AS v ON v.PostId = p.Id AND v.VoteTypeId = 3 WHERE COALESCE(p.CommentCount, 0) = 0 LIMIT 100 | SELECT "p"."Id" AS "post_link", "p"."CommentCount" FROM "Posts" AS "p" LEFT JOIN "Votes" AS "v" ON "p"."Id" = "v"."PostId" AND "v"."VoteTypeId" = 3 WHERE "p"."CommentCount" = 0 OR "p"."CommentCount" IS NULL LIMIT 100 | 0.210938 |
CREATE TABLE table_204_14 (id DECIMAL, "rank" DECIMAL, "bib" DECIMAL, "athlete" TEXT, "country" TEXT, "time" TEXT, "deficit" TEXT, "note" TEXT)
| who came in first place ? | SELECT "athlete" FROM table_204_14 WHERE "rank" = 1 | SELECT "athlete" FROM "table_204_14" WHERE "rank" = 1 | 0.051758 |
CREATE TABLE table_20112 ("State" TEXT, "Preliminary Average" TEXT, "Interview" TEXT, "Swimsuit" TEXT, "Evening Gown" TEXT, "Semifinal Average" TEXT)
| Name the swimsuit for arizona | SELECT "Swimsuit" FROM table_20112 WHERE "State" = 'Arizona' | SELECT "Swimsuit" FROM "table_20112" WHERE "State" = 'Arizona' | 0.060547 |
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name 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_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_icd_procedures (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 transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
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)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
| what is patient 28966's minimum heart rate, until 169 days ago? | SELECT MIN(chartevents.valuenum) FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 28966)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'heart rate' AND d_items.linksto = 'chartevents') AND DATETIME(chartevents.charttime) <= DATETIME(CURRENT_TIME(), '-169 day') | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 28966 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'heart rate' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT MIN("chartevents"."valuenum") FROM "chartevents" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" AS "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE DATETIME("chartevents"."charttime") <= DATETIME(CURRENT_TIME(), '-169 day') AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL | 0.75293 |
CREATE TABLE table_name_33 (lineup VARCHAR, match VARCHAR)
| What was her place in the lineup on match 2? | SELECT lineup FROM table_name_33 WHERE match = "2" | SELECT "lineup" FROM "table_name_33" WHERE "2" = "match" | 0.054688 |
Subsets and Splits