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CREATE TABLE table_43512 ("Season" CLOB, "Competition" CLOB, "Round" CLOB, "Opponent" CLOB, "Home" CLOB, "Away" CLOB)
| Who was the home when the opponent was slovan liberec? | SELECT "Home" FROM table_43512 WHERE "Opponent" = 'slovan liberec' | SELECT "Home" FROM "table_43512" WHERE "Opponent" = 'slovan liberec' | 0.066406 |
CREATE TABLE table_18598175_2 (eliminated_by VARCHAR2, method_of_elimination VARCHAR2)
| Who won the match when the winner used the Pedigree attack? | SELECT eliminated_by FROM table_18598175_2 WHERE method_of_elimination = "Pedigree" | SELECT "eliminated_by" FROM "table_18598175_2" WHERE "Pedigree" = "method_of_elimination" | 0.086914 |
CREATE TABLE table_name_35 (occupation VARCHAR2, candidate VARCHAR2)
| What occupation does Mary Louise Lorefice have? | SELECT occupation FROM table_name_35 WHERE candidate = "mary louise lorefice" | SELECT "occupation" FROM "table_name_35" WHERE "candidate" = "mary louise lorefice" | 0.081055 |
CREATE TABLE table_15474 ("Heat" FLOAT, "Lane" FLOAT, "Name" CLOB, "Nationality" CLOB, "Time" CLOB)
| What was the time for Jean Luc Razakarivony with less than 3 heat and more than 2 lanes? | SELECT "Time" FROM table_15474 WHERE "Heat" < '3' AND "Lane" > '2' AND "Name" = 'jean luc razakarivony' | SELECT "Time" FROM "table_15474" WHERE "Heat" < '3' AND "Lane" > '2' AND "Name" = 'jean luc razakarivony' | 0.102539 |
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
| how much is the cost of the cholelith w ac cholecyst diagnosing? | SELECT DISTINCT cost.cost FROM cost WHERE cost.event_type = 'diagnoses_icd' AND cost.event_id IN (SELECT diagnoses_icd.row_id FROM diagnoses_icd WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'cholelith w ac cholecyst')) | WITH "_u_1" AS (SELECT "diagnoses_icd"."row_id" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'cholelith w ac cholecyst' GROUP BY "row_id") SELECT DISTINCT "cost"."cost" FROM "cost" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "cost"."event_id" WHERE "cost"."event_type" = 'diagnoses_icd' AND NOT "_u_1"."" IS NULL | 0.397461 |
CREATE TABLE table_25799 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| Who scored the highest points and how much against the raptors? | SELECT "High points" FROM table_25799 WHERE "Team" = 'Raptors' | SELECT "High points" FROM "table_25799" WHERE "Team" = 'Raptors' | 0.0625 |
CREATE TABLE table_73881 ("Round" FLOAT, "Circuit" CLOB, "Date" CLOB, "Pole Position" CLOB, "Fastest Lap" CLOB, "Winning driver" CLOB, "Winning team" CLOB)
| What is every date of Mark Taylor as winning driver? | SELECT "Date" FROM table_73881 WHERE "Winning driver" = 'Mark Taylor' | SELECT "Date" FROM "table_73881" WHERE "Winning driver" = 'Mark Taylor' | 0.069336 |
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
| calculate the number of patients diagnosed in 2105 with mult mye w/o achv rmson. | SELECT COUNT(DISTINCT admissions.subject_id) FROM admissions WHERE admissions.hadm_id IN (SELECT diagnoses_icd.hadm_id FROM diagnoses_icd WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'mult mye w/o achv rmson') AND STRFTIME('%y', diagnoses_icd.charttime) = '2105') | WITH "_u_1" AS (SELECT "diagnoses_icd"."hadm_id" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'mult mye w/o achv rmson' WHERE STRFTIME('%y', "diagnoses_icd"."charttime") = '2105' GROUP BY "hadm_id") SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "admissions" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "admissions"."hadm_id" WHERE NOT "_u_1"."" IS NULL | 0.444336 |
CREATE TABLE table_name_90 (gold NUMBER, total NUMBER)
| What is the largest gold with a Total larger than 16? | SELECT MAX(gold) FROM table_name_90 WHERE total > 16 | SELECT MAX("gold") FROM "table_name_90" WHERE "total" > 16 | 0.056641 |
CREATE TABLE table_name_18 (crowd VARCHAR2, venue VARCHAR2)
| What was the crowd size at Victoria Park? | SELECT crowd FROM table_name_18 WHERE venue = "victoria park" | SELECT "crowd" FROM "table_name_18" WHERE "venue" = "victoria park" | 0.06543 |
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
| when was patient 18757 prescribed medication via ih route, for the last time until 02/2105? | SELECT prescriptions.startdate FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 18757) AND prescriptions.route = 'ih' AND STRFTIME('%y-%m', prescriptions.startdate) <= '2105-02' ORDER BY prescriptions.startdate DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 18757 GROUP BY "hadm_id") SELECT "prescriptions"."startdate" FROM "prescriptions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE "prescriptions"."route" = 'ih' AND NOT "_u_0"."" IS NULL AND STRFTIME('%y-%m', "prescriptions"."startdate") <= '2105-02' ORDER BY "prescriptions"."startdate" DESC FETCH FIRST 1 ROWS ONLY | 0.426758 |
CREATE TABLE Minor_in (StuID NUMBER, DNO NUMBER)
CREATE TABLE Student (StuID NUMBER, LName VARCHAR2, Fname VARCHAR2, Age NUMBER, Sex VARCHAR2, Major NUMBER, Advisor NUMBER, city_code VARCHAR2)
CREATE TABLE Course (CID VARCHAR2, CName VARCHAR2, Credits NUMBER, Instructor NUMBER, Days VARCHAR2, Hours VARCHAR2, DNO NUMBER)
CREATE TABLE Gradeconversion (lettergrade VARCHAR2, gradepoint FLOAT)
CREATE TABLE Enrolled_in (StuID NUMBER, CID VARCHAR2, Grade VARCHAR2)
CREATE TABLE Faculty (FacID NUMBER, Lname VARCHAR2, Fname VARCHAR2, Rank VARCHAR2, Sex VARCHAR2, Phone NUMBER, Room VARCHAR2, Building VARCHAR2)
CREATE TABLE Department (DNO NUMBER, Division VARCHAR2, DName VARCHAR2, Room VARCHAR2, Building VARCHAR2, DPhone NUMBER)
CREATE TABLE Member_of (FacID NUMBER, DNO NUMBER, Appt_Type VARCHAR2)
| Draw a bar chart about the distribution of Days and the sum of Instructor , and group by attribute Days. | SELECT Days, SUM(Instructor) FROM Course GROUP BY Days ORDER BY Credits | SELECT "Days", SUM("Instructor") FROM "Course" GROUP BY "Days" ORDER BY "Credits" | 0.079102 |
CREATE TABLE table_name_91 (venue VARCHAR2, home_team VARCHAR2)
| What was the venue of the Melbourne team? | SELECT venue FROM table_name_91 WHERE home_team = "melbourne" | SELECT "venue" FROM "table_name_91" WHERE "home_team" = "melbourne" | 0.06543 |
CREATE TABLE table_72035 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Loss" CLOB, "Record" CLOB)
| What was the score of the game when the record was 22 46? | SELECT "Score" FROM table_72035 WHERE "Record" = '22–46' | SELECT "Score" FROM "table_72035" WHERE "Record" = '22–46' | 0.056641 |
CREATE TABLE table_name_62 (club VARCHAR2, played VARCHAR2, try_bonus VARCHAR2)
| What is the name of the club when the played number is 22, and the try bonus was 0? | SELECT club FROM table_name_62 WHERE played = "22" AND try_bonus = "0" | SELECT "club" FROM "table_name_62" WHERE "0" = "try_bonus" AND "22" = "played" | 0.076172 |
CREATE TABLE table_34701 ("Date" CLOB, "Tournament" CLOB, "Location" CLOB, "Winner" CLOB, "Score" CLOB, "1st prize ( $ ) " CLOB)
| What is the location of the Sea Pines Heritage Classic tournament? | SELECT "Location" FROM table_34701 WHERE "Tournament" = 'sea pines heritage classic' | SELECT "Location" FROM "table_34701" WHERE "Tournament" = 'sea pines heritage classic' | 0.083984 |
CREATE TABLE table_5614 ("Rank" FLOAT, "Airline" CLOB, "2012" FLOAT, "2011" FLOAT, "2010" FLOAT, "2009" FLOAT)
| The lowest rank with 2011 less than 80.7 and 2012 less than 73.1 is what? | SELECT MIN("Rank") FROM table_5614 WHERE "2011" < '80.7' AND "2012" < '73.1' | SELECT MIN("Rank") FROM "table_5614" WHERE "2011" < '80.7' AND "2012" < '73.1' | 0.076172 |
CREATE TABLE table_23616 ("Divisions" CLOB, "Prize ( EUR ) " CLOB, "Odds of winning ( 1in ) " CLOB, "Number of winning tickets" FLOAT, "In order to win" CLOB)
| How many odd of winning have 6th as the division? | SELECT "Odds of winning (1in)" FROM table_23616 WHERE "Divisions" = '6th' | SELECT "Odds of winning (1in)" FROM "table_23616" WHERE "Divisions" = '6th' | 0.073242 |
CREATE TABLE table_18328569_1 (new_entries_this_round VARCHAR2, winners_from_previous_round VARCHAR2)
| How many new entries started in the round where winners from the previous round is 16? | SELECT new_entries_this_round FROM table_18328569_1 WHERE winners_from_previous_round = "16" | SELECT "new_entries_this_round" FROM "table_18328569_1" WHERE "16" = "winners_from_previous_round" | 0.095703 |
CREATE TABLE table_25580292_13 (aggressive_rider VARCHAR2, winner VARCHAR2)
| Who was the aggressive rider when the winner was luis le n s nchez? | SELECT aggressive_rider FROM table_25580292_13 WHERE winner = "Luis León Sánchez" | SELECT "aggressive_rider" FROM "table_25580292_13" WHERE "Luis León Sánchez" = "winner" | 0.084961 |
CREATE TABLE table_68154 ("Place" CLOB, "Name" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB, "Money ( $ ) " FLOAT)
| What place has a To par of +4 and a score of 74-70-74-74=292? | SELECT "Place" FROM table_68154 WHERE "To par" = '+4' AND "Score" = '74-70-74-74=292' | SELECT "Place" FROM "table_68154" WHERE "Score" = '74-70-74-74=292' AND "To par" = '+4' | 0.084961 |
CREATE TABLE table_37814 ("Player" CLOB, "Touchdowns" FLOAT, "Extra points" FLOAT, "Field goals" FLOAT, "Points" FLOAT)
| Which Points have Touchdowns larger than 0, and an Extra points smaller than 0? | SELECT SUM("Points") FROM table_37814 WHERE "Touchdowns" > '0' AND "Extra points" < '0' | SELECT SUM("Points") FROM "table_37814" WHERE "Extra points" < '0' AND "Touchdowns" > '0' | 0.086914 |
CREATE TABLE table_51892 ("Pick" FLOAT, "Round" CLOB, "Player" CLOB, "Position" CLOB, "School" CLOB)
| What position is todd hammel? | SELECT "Position" FROM table_51892 WHERE "Player" = 'todd hammel' | SELECT "Position" FROM "table_51892" WHERE "Player" = 'todd hammel' | 0.06543 |
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
| for patients who were diagnosed with chr airway obstruct nec until 2104, what are the top four most commonly prescribed drugs that followed afterwards within the same hospital visit to the male patients aged 40s? | SELECT t3.drug FROM (SELECT t2.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, diagnoses_icd.charttime, admissions.hadm_id FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'chr airway obstruct nec') AND STRFTIME('%y', diagnoses_icd.charttime) <= '2104') AS t1 JOIN (SELECT admissions.subject_id, prescriptions.drug, prescriptions.startdate, admissions.hadm_id FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE admissions.subject_id IN (SELECT patients.subject_id FROM patients WHERE patients.gender = 'm') AND admissions.age BETWEEN 40 AND 49 AND STRFTIME('%y', prescriptions.startdate) <= '2104') AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.startdate AND t1.hadm_id = t2.hadm_id GROUP BY t2.drug) AS t3 WHERE t3.c1 <= 4 | WITH "_u_1" AS (SELECT "patients"."subject_id" FROM "patients" WHERE "patients"."gender" = 'm' GROUP BY "subject_id"), "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."drug", "prescriptions"."startdate", "admissions"."hadm_id" FROM "prescriptions" JOIN "admissions" ON "admissions"."age" <= 49 AND "admissions"."age" >= 40 AND "admissions"."hadm_id" = "prescriptions"."hadm_id" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "admissions"."subject_id" WHERE NOT "_u_1"."" IS NULL AND STRFTIME('%y', "prescriptions"."startdate") <= '2104'), "t3" AS (SELECT "t2"."drug", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) 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" = 'chr airway obstruct nec' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" JOIN "t2" "t2" ON "admissions"."hadm_id" = "t2"."hadm_id" AND "admissions"."subject_id" = "t2"."subject_id" AND "diagnoses_icd"."charttime" < "t2"."startdate" WHERE STRFTIME('%y', "diagnoses_icd"."charttime") <= '2104' GROUP BY "t2"."drug") SELECT "t3"."drug" FROM "t3" "t3" WHERE "t3"."c1" <= 4 | 1.132813 |
CREATE TABLE channel (Channel_ID NUMBER, Name CLOB, Owner CLOB, Share_in_percent FLOAT, Rating_in_percent FLOAT)
CREATE TABLE broadcast (Channel_ID NUMBER, Program_ID NUMBER, Time_of_day CLOB)
CREATE TABLE broadcast_share (Channel_ID NUMBER, Program_ID NUMBER, Date CLOB, Share_in_percent FLOAT)
CREATE TABLE program (Program_ID NUMBER, Name CLOB, Origin CLOB, Launch FLOAT, Owner CLOB)
| A bar chart about what is the total rating of channel for each channel owner?, and rank X from high to low order. | SELECT Owner, SUM(Rating_in_percent) FROM channel GROUP BY Owner ORDER BY Owner DESC | SELECT "Owner", SUM("Rating_in_percent") FROM "channel" GROUP BY "Owner" ORDER BY "Owner" DESC | 0.091797 |
CREATE TABLE table_70210 ("Grand Prix" CLOB, "Pole position" CLOB, "Fastest lap" CLOB, "Winning driver" CLOB, "Winning constructor" CLOB, "Report" CLOB)
| Name the winning constructor for abu dhabi grand prix | SELECT "Winning constructor" FROM table_70210 WHERE "Grand Prix" = 'abu dhabi grand prix' | SELECT "Winning constructor" FROM "table_70210" WHERE "Grand Prix" = 'abu dhabi grand prix' | 0.088867 |
CREATE TABLE table_23050383_1 (innovation VARCHAR2, economic_incentive_regime VARCHAR2)
| What is the innovation when the economic incentive grime is 7.14? | SELECT innovation FROM table_23050383_1 WHERE economic_incentive_regime = "7.14" | SELECT "innovation" FROM "table_23050383_1" WHERE "7.14" = "economic_incentive_regime" | 0.083984 |
CREATE TABLE table_49098 ("Year" CLOB, "League Position" CLOB, "League" CLOB, "Domestic Cup" CLOB, "Cup Position" CLOB)
| What year had a league position of 8/12? | SELECT "Year" FROM table_49098 WHERE "League Position" = '8/12' | SELECT "Year" FROM "table_49098" WHERE "League Position" = '8/12' | 0.063477 |
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
| tell me the top three most common output event last year? | SELECT d_items.label FROM d_items WHERE d_items.itemid IN (SELECT t1.itemid FROM (SELECT outputevents.itemid, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM outputevents WHERE DATETIME(outputevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') GROUP BY outputevents.itemid) AS t1 WHERE t1.c1 <= 3) | WITH "t1" AS (SELECT "outputevents"."itemid", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "outputevents" WHERE DATETIME("outputevents"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') GROUP BY "outputevents"."itemid"), "_u_0" AS (SELECT "t1"."itemid" FROM "t1" "t1" WHERE "t1"."c1" <= 3 GROUP BY "itemid") SELECT "d_items"."label" FROM "d_items" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "d_items"."itemid" WHERE NOT "_u_0"."" IS NULL | 0.467773 |
CREATE TABLE table_22082 ("#" FLOAT, "Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Site/Stadium" CLOB, "Win" CLOB, "Loss" CLOB, "Save" CLOB, "Attendance" FLOAT, "Overall Record" CLOB, "NCAAT Record" CLOB)
| What is the June 21 ncaat baseball record for Fresno State Bulldogs? | SELECT "NCAAT Record" FROM table_22082 WHERE "Date" = 'June 21' | SELECT "NCAAT Record" FROM "table_22082" WHERE "Date" = 'June 21' | 0.063477 |
CREATE TABLE table_2493 ("Season" FLOAT, "Series" CLOB, "Team" CLOB, "Races" FLOAT, "Wins" FLOAT, "Poles" FLOAT, "F/Laps" FLOAT, "Podiums" FLOAT, "Points" FLOAT, "Position" CLOB)
| If the position is 12th, what was the series? | SELECT "Series" FROM table_2493 WHERE "Position" = '12th' | SELECT "Series" FROM "table_2493" WHERE "Position" = '12th' | 0.057617 |
CREATE TABLE table_2798 ("Club" CLOB, "Location" CLOB, "Manager" CLOB, "Stadium" CLOB, "Capacity" FLOAT, "Team captain" CLOB)
| Who's captain of the team whose stadium has a capacity of 17800 people? | SELECT "Team captain" FROM table_2798 WHERE "Capacity" = '17800' | SELECT "Team captain" FROM "table_2798" WHERE "Capacity" = '17800' | 0.064453 |
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
| Trendy tags: 2015 to 2016 growth. | SELECT *, CAST(100.0 * (a.y2016 - a.y2015) / NULLIF(a.y2015, 0) AS FLOAT(18, 2)) AS growth FROM (SELECT t.TagName, COUNT(p.Id) AS postCount, SUM(CASE WHEN YEAR(p.CreationDate) = 2014 THEN 1 ELSE 0 END) AS y2014, SUM(CASE WHEN YEAR(p.CreationDate) = 2015 THEN 1 ELSE 0 END) AS y2015, SUM(CASE WHEN YEAR(p.CreationDate) = 2016 THEN 1 ELSE 0 END) AS y2016 FROM Posts AS p JOIN PostTags AS pTags ON pTags.PostId = p.Id JOIN Tags AS t ON pTags.TagId = t.Id WHERE YEAR(p.CreationDate) IN (2015, 2016, 2014) GROUP BY t.TagName) AS a WHERE a.y2014 >= '##Min2014##' AND 1.0 * a.y2016 >= 1.25 * a.y2015 AND a.postCount > '##MinQuestions##' ORDER BY growth DESC | WITH "a" AS (SELECT "t"."TagName", COUNT("p"."Id") AS "postCount", SUM(CASE WHEN YEAR("p"."CreationDate") = 2014 THEN 1 ELSE 0 END) AS "y2014", SUM(CASE WHEN YEAR("p"."CreationDate") = 2015 THEN 1 ELSE 0 END) AS "y2015", SUM(CASE WHEN YEAR("p"."CreationDate") = 2016 THEN 1 ELSE 0 END) AS "y2016" FROM "Posts" "p" JOIN "PostTags" "pTags" ON "p"."Id" = "pTags"."PostId" JOIN "Tags" "t" ON "pTags"."TagId" = "t"."Id" WHERE YEAR("p"."CreationDate") IN (2015, 2016, 2014) GROUP BY "t"."TagName") SELECT *, CAST(100.0 * ("a"."y2016" - "a"."y2015") / NULLIF(NULLIF("a"."y2015", 0), 0) AS FLOAT(18, 2)) AS "growth" FROM "a" "a" WHERE "a"."postCount" > '##MinQuestions##' AND "a"."y2014" >= '##Min2014##' AND 1.0 * "a"."y2016" >= 1.25 * "a"."y2015" ORDER BY "growth" DESC | 0.745117 |
CREATE TABLE CLASS (CLASS_CODE VARCHAR2, CRS_CODE VARCHAR2, CLASS_SECTION VARCHAR2, CLASS_TIME VARCHAR2, CLASS_ROOM VARCHAR2, PROF_NUM NUMBER)
CREATE TABLE ENROLL (CLASS_CODE VARCHAR2, STU_NUM NUMBER, ENROLL_GRADE VARCHAR2)
CREATE TABLE DEPARTMENT (DEPT_CODE VARCHAR2, DEPT_NAME VARCHAR2, SCHOOL_CODE VARCHAR2, EMP_NUM NUMBER, DEPT_ADDRESS VARCHAR2, DEPT_EXTENSION VARCHAR2)
CREATE TABLE COURSE (CRS_CODE VARCHAR2, DEPT_CODE VARCHAR2, CRS_DESCRIPTION VARCHAR2, CRS_CREDIT FLOAT)
CREATE TABLE EMPLOYEE (EMP_NUM NUMBER, EMP_LNAME VARCHAR2, EMP_FNAME VARCHAR2, EMP_INITIAL VARCHAR2, EMP_JOBCODE VARCHAR2, EMP_HIREDATE DATETIME, EMP_DOB DATETIME)
CREATE TABLE STUDENT (STU_NUM NUMBER, STU_LNAME VARCHAR2, STU_FNAME VARCHAR2, STU_INIT VARCHAR2, STU_DOB DATETIME, STU_HRS NUMBER, STU_CLASS VARCHAR2, STU_GPA FLOAT, STU_TRANSFER NUMBER, DEPT_CODE VARCHAR2, STU_PHONE VARCHAR2, PROF_NUM NUMBER)
CREATE TABLE PROFESSOR (EMP_NUM NUMBER, DEPT_CODE VARCHAR2, PROF_OFFICE VARCHAR2, PROF_EXTENSION VARCHAR2, PROF_HIGH_DEGREE VARCHAR2)
| How many students taking a course who received an A or C? Group by students' first name with a bar chart, and show in desc by the names. | SELECT STU_FNAME, COUNT(STU_FNAME) FROM STUDENT AS T1 JOIN ENROLL AS T2 ON T1.STU_NUM = T2.STU_NUM WHERE T2.ENROLL_GRADE = 'C' OR T2.ENROLL_GRADE = 'A' GROUP BY STU_FNAME ORDER BY STU_FNAME DESC | SELECT "STU_FNAME", COUNT("STU_FNAME") FROM "STUDENT" "T1" JOIN "ENROLL" "T2" ON "T1"."STU_NUM" = "T2"."STU_NUM" AND ("T2"."ENROLL_GRADE" = 'A' OR "T2"."ENROLL_GRADE" = 'C') GROUP BY "STU_FNAME" ORDER BY "STU_FNAME" DESC | 0.214844 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| count the number of patients whose marital status is married and diagnoses short title is dmii hprosmlr uncontrold? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.marital_status = "MARRIED" AND diagnoses.short_title = "DMII hprosmlr uncontrold" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "DMII hprosmlr uncontrold" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "MARRIED" = "demographic"."marital_status" | 0.238281 |
CREATE TABLE table_23294081_11 (no NUMBER)
| What is the highest episode number? | SELECT MAX(no) FROM table_23294081_11 | SELECT MAX("no") FROM "table_23294081_11" | 0.040039 |
CREATE TABLE table_70303 ("Outcome" CLOB, "Date" CLOB, "Tournament" CLOB, "Surface" CLOB, "Partner" CLOB, "Opponents in the final" CLOB, "Score" CLOB)
| What is the score for the game that was played on 29-Jun-2009? | SELECT "Score" FROM table_70303 WHERE "Date" = '29-jun-2009' | SELECT "Score" FROM "table_70303" WHERE "Date" = '29-jun-2009' | 0.060547 |
CREATE TABLE review (i_id VARCHAR2)
CREATE TABLE item (i_id VARCHAR2)
| Find the number of items that did not receive any review. | SELECT COUNT(*) FROM item WHERE NOT i_id IN (SELECT i_id FROM review) | SELECT COUNT(*) FROM "item" WHERE NOT "i_id" IN (SELECT "i_id" FROM "review") | 0.075195 |
CREATE TABLE table_25989 ("Player" CLOB, "Games Played" FLOAT, "Minutes" FLOAT, "Field Goals" FLOAT, "Three Pointers" FLOAT, "Free Throws" FLOAT, "Rebounds" FLOAT, "Assists" FLOAT, "Blocks" FLOAT, "Steals" FLOAT, "Points" FLOAT)
| How many steals did jasmine wynne have? | SELECT "Steals" FROM table_25989 WHERE "Player" = 'Jasmine Wynne' | SELECT "Steals" FROM "table_25989" WHERE "Player" = 'Jasmine Wynne' | 0.06543 |
CREATE TABLE table_76284 ("Game" FLOAT, "Date" CLOB, "Opponent" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location/Attendance" CLOB, "Record" CLOB)
| what is the location/attendance when the record is 9-2? | SELECT "Location/Attendance" FROM table_76284 WHERE "Record" = '9-2' | SELECT "Location/Attendance" FROM "table_76284" WHERE "Record" = '9-2' | 0.068359 |
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
| For all employees who have the letters D or S in their first name, give me the comparison about the average of salary over the job_id , and group by attribute job_id by a bar chart, could you sort by the x axis in asc? | SELECT JOB_ID, AVG(SALARY) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID ORDER BY JOB_ID | SELECT "JOB_ID", AVG("SALARY") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' GROUP BY "JOB_ID" ORDER BY "JOB_ID" | 0.136719 |
CREATE TABLE Financial_Transactions (transaction_id NUMBER, previous_transaction_id NUMBER, account_id NUMBER, card_id NUMBER, transaction_type VARCHAR2, transaction_date DATETIME, transaction_amount DOUBLE PRECISION, transaction_comment VARCHAR2, other_transaction_details VARCHAR2)
CREATE TABLE Customers_Cards (card_id NUMBER, customer_id NUMBER, card_type_code VARCHAR2, card_number VARCHAR2, date_valid_from DATETIME, date_valid_to DATETIME, other_card_details VARCHAR2)
CREATE TABLE Accounts (account_id NUMBER, customer_id NUMBER, account_name VARCHAR2, other_account_details VARCHAR2)
CREATE TABLE Customers (customer_id NUMBER, customer_first_name VARCHAR2, customer_last_name VARCHAR2, customer_address VARCHAR2, customer_phone VARCHAR2, customer_email VARCHAR2, other_customer_details VARCHAR2)
| Bar chart x axis customer last name y axis how many customer last name, and could you order the number of customer last name from low to high order? | SELECT customer_last_name, COUNT(customer_last_name) FROM Customers GROUP BY customer_last_name ORDER BY COUNT(customer_last_name) | SELECT "customer_last_name", COUNT("customer_last_name") FROM "Customers" GROUP BY "customer_last_name" ORDER BY COUNT("customer_last_name") | 0.136719 |
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
| Can I see the difficulty for all of the CS-LSA courses ? | SELECT DISTINCT course.department, course.name, course.number, program_course.workload FROM course, program, program_course WHERE program_course.course_id = course.course_id AND program.name LIKE 'CS-LSA' AND program.program_id = program_course.program_id | SELECT DISTINCT "course"."department", "course"."name", "course"."number", "program_course"."workload" FROM "course" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" JOIN "program" ON "program"."name" LIKE 'CS-LSA' AND "program"."program_id" = "program_course"."program_id" | 0.293945 |
CREATE TABLE table_12584173_1 (population__glengallan_ NUMBER)
| What is the maximum population size in the town of Glengallen? | SELECT MAX(population__glengallan_) FROM table_12584173_1 | SELECT MAX("population__glengallan_") FROM "table_12584173_1" | 0.05957 |
CREATE TABLE table_52532 ("Round" FLOAT, "Overall" FLOAT, "Player" CLOB, "Nationality" CLOB, "Club team" CLOB)
| What is the name of the player with an Overall larger than 227? | SELECT "Player" FROM table_52532 WHERE "Overall" > '227' | SELECT "Player" FROM "table_52532" WHERE "Overall" > '227' | 0.056641 |
CREATE TABLE table_48211 ("Winner" CLOB, "Country" CLOB, "Winter Olympics" FLOAT, "FIS Nordic World Ski Championships" CLOB, "Holmenkollen" CLOB)
| what is the earliest winter olympics when the fis nordic world ski championships is 1976? | SELECT MIN("Winter Olympics") FROM table_48211 WHERE "FIS Nordic World Ski Championships" = '1976' | SELECT MIN("Winter Olympics") FROM "table_48211" WHERE "FIS Nordic World Ski Championships" = '1976' | 0.097656 |
CREATE TABLE table_name_55 (score VARCHAR2, opponent VARCHAR2)
| What was the score of the game against Minnesota? | SELECT score FROM table_name_55 WHERE opponent = "minnesota" | SELECT "score" FROM "table_name_55" WHERE "minnesota" = "opponent" | 0.064453 |
CREATE TABLE table_22514845_5 (race_caller VARCHAR2, s_host VARCHAR2, reporters VARCHAR2)
| Name the race caller for jim mckay and howard cosell | SELECT race_caller FROM table_22514845_5 WHERE s_host = "Jim McKay" AND reporters = "Howard Cosell" | SELECT "race_caller" FROM "table_22514845_5" WHERE "Howard Cosell" = "reporters" AND "Jim McKay" = "s_host" | 0.104492 |
CREATE TABLE table_3801 ("Stage" FLOAT, "Winner" CLOB, "General classification" CLOB, "Mountains Classification" CLOB, "Points classification" CLOB, "Sprints Classification" CLOB, "Team Classification" CLOB)
| If the stage is smaller than 5.0, and the points classification is by Marco Marcato, who is the General classification by? | SELECT "General classification" FROM table_3801 WHERE "Points classification" = 'Marco Marcato' AND "Stage" < '5.0' | SELECT "General classification" FROM "table_3801" WHERE "Points classification" = 'Marco Marcato' AND "Stage" < '5.0' | 0.114258 |
CREATE TABLE table_56446 ("Rank" FLOAT, "Movie" CLOB, "Year" FLOAT, "Studio ( s ) " CLOB, "Opening Day Net Gross" FLOAT, "Day of Week" CLOB)
| What is the studio of ra.one? | SELECT "Studio(s)" FROM table_56446 WHERE "Movie" = 'ra.one' | SELECT "Studio(s)" FROM "table_56446" WHERE "Movie" = 'ra.one' | 0.060547 |
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
| what was the first dose of pantoprazole until 15 months ago, prescribed to patient 31169? | SELECT prescriptions.dose_val_rx FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 31169) AND prescriptions.drug = 'pantoprazole' AND DATETIME(prescriptions.startdate) <= DATETIME(CURRENT_TIME(), '-15 month') ORDER BY prescriptions.startdate LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 31169 GROUP BY "hadm_id") SELECT "prescriptions"."dose_val_rx" FROM "prescriptions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE "prescriptions"."drug" = 'pantoprazole' AND DATETIME("prescriptions"."startdate") <= DATETIME(CURRENT_TIME(), '-15 month') AND NOT "_u_0"."" IS NULL ORDER BY "prescriptions"."startdate" FETCH FIRST 1 ROWS ONLY | 0.451172 |
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
| For all employees who have the letters D or S in their first name, give me the comparison about the sum of department_id over the hire_date bin hire_date by time by a bar chart, and order in desc by the y axis. | SELECT HIRE_DATE, SUM(DEPARTMENT_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY SUM(DEPARTMENT_ID) DESC | SELECT "HIRE_DATE", SUM("DEPARTMENT_ID") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' ORDER BY SUM("DEPARTMENT_ID") DESC | 0.145508 |
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
| Posts that start with a lower case letter. | SELECT p.CreationDate, CASE WHEN (2 = p.PostTypeId) THEN 'Answer' ELSE 'Question' END AS PostType, p.Score, CASE WHEN (2 = p.PostTypeId) THEN t.Title ELSE p.Title END AS QuestionTitle, p.Body, p.Id AS "post_link" FROM Posts AS p LEFT OUTER JOIN Posts AS t ON (p.ParentId = t.Id) WHERE 1 = 1 AND p.CreationDate >= DATEADD(DAY, -45, GETDATE()) AND 5 <= p.Score AND (((2 = p.PostTypeId) AND SUBSTRING(t.Title, 1, 1) != UPPER(SUBSTRING(t.Title, 1, 1))) OR ((1 = p.PostTypeId) AND SUBSTRING(p.Title, 1, 1) != UPPER(SUBSTRING(p.Title, 1, 1)))) ORDER BY p.Id DESC | SELECT "p"."CreationDate", CASE WHEN "p"."PostTypeId" = 2 THEN 'Answer' ELSE 'Question' END AS "PostType", "p"."Score", CASE WHEN "p"."PostTypeId" = 2 THEN "t"."Title" ELSE "p"."Title" END AS "QuestionTitle", "p"."Body", "p"."Id" AS "post_link" FROM "Posts" "p" LEFT JOIN "Posts" "t" ON "p"."ParentId" = "t"."Id" WHERE "p"."CreationDate" >= DATEADD("DAY", -45, GETDATE()) AND ("p"."PostTypeId" = 1 OR "p"."PostTypeId" = 2) AND ("p"."PostTypeId" = 1 OR SUBSTR("t"."Title", 1, 1) <> UPPER(SUBSTR("t"."Title", 1, 1))) AND ("p"."PostTypeId" = 2 OR SUBSTR("p"."Title", 1, 1) <> UPPER(SUBSTR("p"."Title", 1, 1))) AND "p"."Score" >= 5 AND (SUBSTR("p"."Title", 1, 1) <> UPPER(SUBSTR("p"."Title", 1, 1)) OR SUBSTR("t"."Title", 1, 1) <> UPPER(SUBSTR("t"."Title", 1, 1))) ORDER BY "p"."Id" DESC | 0.764648 |
CREATE TABLE table_36752 ("Position" FLOAT, "Team" CLOB, "Points" FLOAT, "Played" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Against" FLOAT, "Difference" CLOB)
| How many Drawn have a Difference of 3, and Points smaller than 52? | SELECT COUNT("Drawn") FROM table_36752 WHERE "Difference" = '3' AND "Points" < '52' | SELECT COUNT("Drawn") FROM "table_36752" WHERE "Difference" = '3' AND "Points" < '52' | 0.083008 |
CREATE TABLE table_6603 ("Year" FLOAT, "Team" CLOB, "Progress" CLOB, "Score" CLOB, "Opponents" CLOB)
| What was the score in 1997 for the team that has a Progress of no entrants? | SELECT "Score" FROM table_6603 WHERE "Progress" = 'no entrants' AND "Year" = '1997' | SELECT "Score" FROM "table_6603" WHERE "Progress" = 'no entrants' AND "Year" = '1997' | 0.083008 |
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
| For those employees who do not work in departments with managers that have ids between 100 and 200, a bar chart shows the distribution of email and manager_id . | SELECT EMAIL, MANAGER_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) | SELECT "EMAIL", "MANAGER_ID" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) | 0.164063 |
CREATE TABLE paperdataset (paperid NUMBER, datasetid NUMBER)
CREATE TABLE paper (paperid NUMBER, title VARCHAR2, venueid NUMBER, year NUMBER, numciting NUMBER, numcitedby NUMBER, journalid NUMBER)
CREATE TABLE paperkeyphrase (paperid NUMBER, keyphraseid NUMBER)
CREATE TABLE author (authorid NUMBER, authorname VARCHAR2)
CREATE TABLE keyphrase (keyphraseid NUMBER, keyphrasename VARCHAR2)
CREATE TABLE dataset (datasetid NUMBER, datasetname VARCHAR2)
CREATE TABLE field (fieldid NUMBER)
CREATE TABLE journal (journalid NUMBER, journalname VARCHAR2)
CREATE TABLE paperfield (fieldid NUMBER, paperid NUMBER)
CREATE TABLE cite (citingpaperid NUMBER, citedpaperid NUMBER)
CREATE TABLE venue (venueid NUMBER, venuename VARCHAR2)
CREATE TABLE writes (paperid NUMBER, authorid NUMBER)
| keyphrases emina torlak used in papers written last year | SELECT DISTINCT paperkeyphrase.keyphraseid FROM author, paper, paperkeyphrase, writes WHERE author.authorname = 'emina torlak' AND paper.paperid = paperkeyphrase.paperid AND paper.year = 2015 AND writes.authorid = author.authorid AND writes.paperid = paper.paperid | SELECT DISTINCT "paperkeyphrase"."keyphraseid" FROM "author" JOIN "writes" ON "author"."authorid" = "writes"."authorid" JOIN "paper" ON "paper"."paperid" = "writes"."paperid" AND "paper"."year" = 2015 JOIN "paperkeyphrase" ON "paper"."paperid" = "paperkeyphrase"."paperid" WHERE "author"."authorname" = 'emina torlak' | 0.30957 |
CREATE TABLE table_name_86 (grid NUMBER, laps VARCHAR2)
| What is biggest grid when the laps are 65? | SELECT MAX(grid) FROM table_name_86 WHERE laps = 65 | SELECT MAX("grid") FROM "table_name_86" WHERE "laps" = 65 | 0.055664 |
CREATE TABLE table_73954 ("Name" CLOB, "Turbines" CLOB, "Capacity ( MW ) " CLOB, "Power ( MW\\u00b7hr/yr ) " CLOB, "Location ( county ) " CLOB, "Year Operational" FLOAT, "Status" CLOB)
| What all turbines have a capacity of 30 and have a Somerset location? | SELECT "Turbines" FROM table_73954 WHERE "Location (county)" = 'Somerset' AND "Capacity (MW)" = '30' | SELECT "Turbines" FROM "table_73954" WHERE "Capacity (MW)" = '30' AND "Location (county)" = 'Somerset' | 0.099609 |
CREATE TABLE table_25876 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| Name the high points for the staples center 18,997 | SELECT "High points" FROM table_25876 WHERE "Location Attendance" = 'Staples Center 18,997' | SELECT "High points" FROM "table_25876" WHERE "Location Attendance" = 'Staples Center 18,997' | 0.09082 |
CREATE TABLE table_20871 ("Player" CLOB, "No." FLOAT, "Nationality" CLOB, "Position" CLOB, "Years for Grizzlies" CLOB, "School/Club Team" CLOB)
| What players play guard? | SELECT "Player" FROM table_20871 WHERE "Position" = 'Guard' | SELECT "Player" FROM "table_20871" WHERE "Position" = 'Guard' | 0.05957 |
CREATE TABLE table_58823 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB, "Money ( $ ) " FLOAT)
| What score has 3 as the place? | SELECT "Score" FROM table_58823 WHERE "Place" = '3' | SELECT "Score" FROM "table_58823" WHERE "Place" = '3' | 0.051758 |
CREATE TABLE table_name_18 (against NUMBER, lost VARCHAR2, played VARCHAR2)
| What is the maximum number of points against when the team has more than 0 losses and plays fewer than 6 games? | SELECT MAX(against) FROM table_name_18 WHERE lost > 0 AND played < 6 | SELECT MAX("against") FROM "table_name_18" WHERE "lost" > 0 AND "played" < 6 | 0.074219 |
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what was the name of the procedure that in 09/last year patient 86404 has received two or more times? | SELECT d_icd_procedures.short_title FROM d_icd_procedures WHERE d_icd_procedures.icd9_code IN (SELECT t1.icd9_code FROM (SELECT procedures_icd.icd9_code, COUNT(procedures_icd.charttime) AS c1 FROM procedures_icd WHERE procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 86404) AND DATETIME(procedures_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m', procedures_icd.charttime) = '09' GROUP BY procedures_icd.icd9_code) AS t1 WHERE t1.c1 >= 2) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 86404 GROUP BY "hadm_id"), "t1" AS (SELECT "procedures_icd"."icd9_code", COUNT("procedures_icd"."charttime") AS "c1" FROM "procedures_icd" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "procedures_icd"."hadm_id" WHERE DATETIME("procedures_icd"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_0"."" IS NULL AND STRFTIME('%m', "procedures_icd"."charttime") = '09' GROUP BY "procedures_icd"."icd9_code"), "_u_1" AS (SELECT "t1"."icd9_code" FROM "t1" "t1" WHERE "t1"."c1" >= 2 GROUP BY "icd9_code") SELECT "d_icd_procedures"."short_title" FROM "d_icd_procedures" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "d_icd_procedures"."icd9_code" WHERE NOT "_u_1"."" IS NULL | 0.777344 |
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
| what were the four most common diagnoses until 4 years ago? | SELECT t1.diagnosisname FROM (SELECT diagnosis.diagnosisname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM diagnosis WHERE DATETIME(diagnosis.diagnosistime) <= DATETIME(CURRENT_TIME(), '-4 year') GROUP BY diagnosis.diagnosisname) AS t1 WHERE t1.c1 <= 4 | WITH "t1" AS (SELECT "diagnosis"."diagnosisname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "diagnosis" WHERE DATETIME("diagnosis"."diagnosistime") <= DATETIME(CURRENT_TIME(), '-4 year') GROUP BY "diagnosis"."diagnosisname") SELECT "t1"."diagnosisname" FROM "t1" "t1" WHERE "t1"."c1" <= 4 | 0.294922 |
CREATE TABLE table_name_26 (pick VARCHAR2, player VARCHAR2)
| What pick was roger holdinsky? | SELECT pick FROM table_name_26 WHERE player = "roger holdinsky" | SELECT "pick" FROM "table_name_26" WHERE "player" = "roger holdinsky" | 0.067383 |
CREATE TABLE table_name_83 (score VARCHAR2, record VARCHAR2, visitor VARCHAR2, home VARCHAR2)
| Which Score has a Visitor of toronto st. pats, and a Home of montreal canadiens, and a Record of 3 2 0? | SELECT score FROM table_name_83 WHERE visitor = "toronto st. pats" AND home = "montreal canadiens" AND record = "3–2–0" | SELECT "score" FROM "table_name_83" WHERE "3–2–0" = "record" AND "home" = "montreal canadiens" AND "toronto st. pats" = "visitor" | 0.125977 |
CREATE TABLE table_43658 ("Team 1" CLOB, "Agg." CLOB, "Team 2" CLOB, "1st leg" CLOB, "2nd leg" CLOB)
| What is Celta's Agg.? | SELECT "Agg." FROM table_43658 WHERE "Team 1" = 'celta' | SELECT "Agg." FROM "table_43658" WHERE "Team 1" = 'celta' | 0.055664 |
CREATE TABLE table_name_3 (road_team VARCHAR2, date VARCHAR2)
| Who was the road team on May 2? | SELECT road_team FROM table_name_3 WHERE date = "may 2" | SELECT "road_team" FROM "table_name_3" WHERE "date" = "may 2" | 0.05957 |
CREATE TABLE Customer_Event_Notes (Customer_Event_Note_ID NUMBER, Customer_Event_ID NUMBER, service_type_code CHAR, resident_id NUMBER, property_id NUMBER, date_moved_in DATETIME)
CREATE TABLE Properties (property_id NUMBER, property_type_code CHAR, property_address VARCHAR2, other_details VARCHAR2)
CREATE TABLE Customer_Events (Customer_Event_ID NUMBER, customer_id NUMBER, date_moved_in DATETIME, property_id NUMBER, resident_id NUMBER, thing_id NUMBER)
CREATE TABLE Organizations (organization_id NUMBER, parent_organization_id NUMBER, organization_details VARCHAR2)
CREATE TABLE Residents_Services (resident_id NUMBER, service_id NUMBER, date_moved_in DATETIME, property_id NUMBER, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR2)
CREATE TABLE Things (thing_id NUMBER, organization_id NUMBER, Type_of_Thing_Code CHAR, service_type_code CHAR, service_details VARCHAR2)
CREATE TABLE Services (service_id NUMBER, organization_id NUMBER, service_type_code CHAR, service_details VARCHAR2)
CREATE TABLE Timed_Status_of_Things (thing_id NUMBER, Date_and_Date DATETIME, Status_of_Thing_Code CHAR)
CREATE TABLE Timed_Locations_of_Things (thing_id NUMBER, Date_and_Time DATETIME, Location_Code CHAR)
CREATE TABLE Residents (resident_id NUMBER, property_id NUMBER, date_moved_in DATETIME, date_moved_out DATETIME, other_details VARCHAR2)
CREATE TABLE Customers (customer_id NUMBER, customer_details VARCHAR2)
| Please use a bar chart to compare the number of customers of each customer's move in date. | SELECT date_moved_in, COUNT(date_moved_in) FROM Customers AS T1 JOIN Customer_Events AS T2 ON T1.customer_id = T2.customer_id GROUP BY date_moved_in | SELECT "date_moved_in", COUNT("date_moved_in") FROM "Customers" "T1" JOIN "Customer_Events" "T2" ON "T1"."customer_id" = "T2"."customer_id" GROUP BY "date_moved_in" | 0.160156 |
CREATE TABLE table_name_38 (tries_for VARCHAR2, points_against VARCHAR2)
| How many tries for were there while having 479 points against? | SELECT tries_for FROM table_name_38 WHERE points_against = "479" | SELECT "tries_for" FROM "table_name_38" WHERE "479" = "points_against" | 0.068359 |
CREATE TABLE table_28062822_3 (height VARCHAR2, represent VARCHAR2)
| What was the height of representative #6? | SELECT height FROM table_28062822_3 WHERE represent = 6 | SELECT "height" FROM "table_28062822_3" WHERE "represent" = 6 | 0.05957 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| give the drug type and drug route for lidocaine 5% patch. | SELECT prescriptions.drug_type, prescriptions.route FROM prescriptions WHERE prescriptions.drug = "Lidocaine 5% Patch" | SELECT "prescriptions"."drug_type", "prescriptions"."route" FROM "prescriptions" WHERE "Lidocaine 5% Patch" = "prescriptions"."drug" | 0.128906 |
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
| Upvotes for the Cassandra tag 2015. | SELECT Users.DisplayName, COUNT(*) AS UpVotes FROM Tags INNER JOIN PostTags ON PostTags.TagId = Tags.Id INNER JOIN Posts ON Posts.ParentId = PostTags.PostId INNER JOIN Votes ON Votes.PostId = Posts.Id AND VoteTypeId = 2 INNER JOIN Users ON Users.Id = Posts.OwnerUserId WHERE Tags.Id = 34113 AND Posts.CreationDate > '2015-01-01 00:00:00' GROUP BY Users.DisplayName ORDER BY UpVotes DESC | SELECT "Users"."DisplayName", COUNT(*) AS "UpVotes" FROM "Tags" JOIN "PostTags" ON "PostTags"."TagId" = "Tags"."Id" JOIN "Posts" ON "PostTags"."PostId" = "Posts"."ParentId" AND "Posts"."CreationDate" > '2015-01-01 00:00:00' JOIN "Users" ON "Posts"."OwnerUserId" = "Users"."Id" JOIN "Votes" ON "Posts"."Id" = "Votes"."PostId" AND "VoteTypeId" = 2 WHERE "Tags"."Id" = 34113 GROUP BY "Users"."DisplayName" ORDER BY "UpVotes" DESC | 0.416016 |
CREATE TABLE table_name_27 (home_team VARCHAR2, venue VARCHAR2)
| Which Home team has a Venue of victoria park? | SELECT home_team FROM table_name_27 WHERE venue = "victoria park" | SELECT "home_team" FROM "table_name_27" WHERE "venue" = "victoria park" | 0.069336 |
CREATE TABLE table_15621965_7 (player VARCHAR2, school_club_team VARCHAR2)
| How many players belong to Notre Dame? | SELECT COUNT(player) FROM table_15621965_7 WHERE school_club_team = "Notre Dame" | SELECT COUNT("player") FROM "table_15621965_7" WHERE "Notre Dame" = "school_club_team" | 0.083984 |
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
| what flights go from DALLAS to PHOENIX | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DALLAS' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'PHOENIX' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'DALLAS' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'PHOENIX' | 0.481445 |
CREATE TABLE table_27635 ("SlNo" FLOAT, "Name of the City" CLOB, "Address" CLOB, "Contact Person" CLOB, "Telephone No" CLOB, "Facilities Offered" CLOB)
| What was the SlNo no of contact person SDE (P), Thiruppattur? | SELECT "SlNo" FROM table_27635 WHERE "Contact Person" = 'SDE (P), Thiruppattur' | SELECT "SlNo" FROM "table_27635" WHERE "Contact Person" = 'SDE (P), Thiruppattur' | 0.079102 |
CREATE TABLE table_12546 ("Tournament" CLOB, "1973" CLOB, "1974" CLOB, "1975" CLOB, "1976" CLOB, "1977" CLOB, "1978" CLOB, "1979" CLOB, "1983" CLOB, "1984" CLOB, "1985" CLOB, "1986" CLOB)
| What 1983 has a 1975 of career statistics? | SELECT "1983" FROM table_12546 WHERE "1975" = 'career statistics' | SELECT "1983" FROM "table_12546" WHERE "1975" = 'career statistics' | 0.06543 |
CREATE TABLE table_name_82 (loss NUMBER, gain VARCHAR2)
| Can you tell me the sum of Loss that has the Gain of 2646? | SELECT SUM(loss) FROM table_name_82 WHERE gain = 2646 | SELECT SUM("loss") FROM "table_name_82" WHERE "gain" = 2646 | 0.057617 |
CREATE TABLE table_name_12 (result VARCHAR2, opponent VARCHAR2)
| what is the result when the opponent is at dallas cowboys? | SELECT result FROM table_name_12 WHERE opponent = "at dallas cowboys" | SELECT "result" FROM "table_name_12" WHERE "at dallas cowboys" = "opponent" | 0.073242 |
CREATE TABLE table_62342 ("Rank" CLOB, "Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What is the average Silver, when Gold is less than 0? | SELECT AVG("Silver") FROM table_62342 WHERE "Gold" < '0' | SELECT AVG("Silver") FROM "table_62342" WHERE "Gold" < '0' | 0.056641 |
CREATE TABLE table_2668378_13 (district VARCHAR2, incumbent VARCHAR2)
| what was the section where the winner is william hoge | SELECT district FROM table_2668378_13 WHERE incumbent = "William Hoge" | SELECT "district" FROM "table_2668378_13" WHERE "William Hoge" = "incumbent" | 0.074219 |
CREATE TABLE table_10582 ("Name" CLOB, "City" CLOB, "Height feet/m" CLOB, "Year" FLOAT, "Period" CLOB, "Surpassed by" CLOB)
| Tell me the height which has a surpassed by of book tower | SELECT "Height feet/m" FROM table_10582 WHERE "Surpassed by" = 'book tower' | SELECT "Height feet/m" FROM "table_10582" WHERE "Surpassed by" = 'book tower' | 0.075195 |
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
| Statistics for Wikipedia about SO. | SELECT Tags.TagName AS "Top Tags" FROM Tags ORDER BY Tags.Count DESC LIMIT 10 | SELECT "Tags"."TagName" AS "Top Tags" FROM "Tags" ORDER BY "Tags"."Count" DESC FETCH FIRST 10 ROWS ONLY | 0.100586 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| what is the number of patients whose primary disease is newborn and procedure short title is spinal tap? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.diagnosis = "NEWBORN" AND procedures.short_title = "Spinal tap" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Spinal tap" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "NEWBORN" = "demographic"."diagnosis" | 0.222656 |
CREATE TABLE ENROLL (CLASS_CODE VARCHAR2, STU_NUM NUMBER, ENROLL_GRADE VARCHAR2)
CREATE TABLE DEPARTMENT (DEPT_CODE VARCHAR2, DEPT_NAME VARCHAR2, SCHOOL_CODE VARCHAR2, EMP_NUM NUMBER, DEPT_ADDRESS VARCHAR2, DEPT_EXTENSION VARCHAR2)
CREATE TABLE COURSE (CRS_CODE VARCHAR2, DEPT_CODE VARCHAR2, CRS_DESCRIPTION VARCHAR2, CRS_CREDIT FLOAT)
CREATE TABLE EMPLOYEE (EMP_NUM NUMBER, EMP_LNAME VARCHAR2, EMP_FNAME VARCHAR2, EMP_INITIAL VARCHAR2, EMP_JOBCODE VARCHAR2, EMP_HIREDATE DATETIME, EMP_DOB DATETIME)
CREATE TABLE PROFESSOR (EMP_NUM NUMBER, DEPT_CODE VARCHAR2, PROF_OFFICE VARCHAR2, PROF_EXTENSION VARCHAR2, PROF_HIGH_DEGREE VARCHAR2)
CREATE TABLE STUDENT (STU_NUM NUMBER, STU_LNAME VARCHAR2, STU_FNAME VARCHAR2, STU_INIT VARCHAR2, STU_DOB DATETIME, STU_HRS NUMBER, STU_CLASS VARCHAR2, STU_GPA FLOAT, STU_TRANSFER NUMBER, DEPT_CODE VARCHAR2, STU_PHONE VARCHAR2, PROF_NUM NUMBER)
CREATE TABLE CLASS (CLASS_CODE VARCHAR2, CRS_CODE VARCHAR2, CLASS_SECTION VARCHAR2, CLASS_TIME VARCHAR2, CLASS_ROOM VARCHAR2, PROF_NUM NUMBER)
| How many courses each teacher taught? Show me a bar chart. | SELECT EMP_FNAME, COUNT(EMP_FNAME) FROM CLASS AS T1 JOIN EMPLOYEE AS T2 ON T1.PROF_NUM = T2.EMP_NUM JOIN COURSE AS T3 ON T1.CRS_CODE = T3.CRS_CODE GROUP BY EMP_FNAME | SELECT "EMP_FNAME", COUNT("EMP_FNAME") FROM "CLASS" "T1" JOIN "EMPLOYEE" "T2" ON "T1"."PROF_NUM" = "T2"."EMP_NUM" JOIN "COURSE" "T3" ON "T1"."CRS_CODE" = "T3"."CRS_CODE" GROUP BY "EMP_FNAME" | 0.185547 |
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
| Batch Select Questions and Accepted Answer. | SELECT question.Id AS QuestionId, question.Score AS QuestionScore, question.Title AS QuestionTitle, question.Body AS QuestionBody, question.Tags, answer.Id AS AcceptedAnswerId, answer.Score AS AnswerScore, answer.Body AS AnswerBody FROM Posts AS question JOIN Posts AS answer ON question.AcceptedAnswerId = answer.Id INNER JOIN PostTags AS question_tags ON question_tags.PostId = question.Id INNER JOIN Tags ON question_tags.TagId = Tags.Id WHERE question.Id > '##LastFetchedQuestionId##' AND Tags.TagName IN ('##Tag##') ORDER BY question.Id LIMIT 100 | SELECT "question"."Id" AS "QuestionId", "question"."Score" AS "QuestionScore", "question"."Title" AS "QuestionTitle", "question"."Body" AS "QuestionBody", "question"."Tags", "answer"."Id" AS "AcceptedAnswerId", "answer"."Score" AS "AnswerScore", "answer"."Body" AS "AnswerBody" FROM "Posts" "question" JOIN "Posts" "answer" ON "answer"."Id" = "question"."AcceptedAnswerId" JOIN "PostTags" "question_tags" ON "question"."Id" = "question_tags"."PostId" JOIN "Tags" ON "Tags"."Id" = "question_tags"."TagId" AND "Tags"."TagName" IN ('##Tag##') WHERE "question"."Id" > '##LastFetchedQuestionId##' ORDER BY "question"."Id" FETCH FIRST 100 ROWS ONLY | 0.626953 |
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
| what is the maximum number of patients diagnosed with sprain of neck monthly until 2104? | SELECT MAX(t1.c1) FROM (SELECT COUNT(DISTINCT diagnoses_icd.hadm_id) AS c1 FROM diagnoses_icd WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'sprain of neck') AND STRFTIME('%y', diagnoses_icd.charttime) <= '2104' GROUP BY STRFTIME('%y-%m', diagnoses_icd.charttime)) AS t1 | WITH "t1" AS (SELECT COUNT(DISTINCT "diagnoses_icd"."hadm_id") 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" = 'sprain of neck' WHERE STRFTIME('%y', "diagnoses_icd"."charttime") <= '2104' GROUP BY STRFTIME('%y-%m', "diagnoses_icd"."charttime")) SELECT MAX("t1"."c1") FROM "t1" "t1" | 0.376953 |
CREATE TABLE inventory (inventory_id NUMBER, film_id NUMBER, store_id NUMBER, last_update TIME)
CREATE TABLE actor (actor_id NUMBER, first_name CLOB, last_name CLOB, last_update TIME)
CREATE TABLE rental (rental_id NUMBER, rental_date TIME, inventory_id NUMBER, customer_id NUMBER, return_date TIME, staff_id NUMBER, last_update TIME)
CREATE TABLE city (city_id NUMBER, city CLOB, country_id NUMBER, last_update TIME)
CREATE TABLE payment (payment_id NUMBER, customer_id NUMBER, staff_id NUMBER, rental_id NUMBER, amount NUMBER, payment_date TIME, last_update TIME)
CREATE TABLE language (language_id NUMBER, name CLOB, last_update TIME)
CREATE TABLE category (category_id NUMBER, name CLOB, last_update TIME)
CREATE TABLE film (film_id NUMBER, title CLOB, description CLOB, release_year TIME, language_id NUMBER, original_language_id NUMBER, rental_duration NUMBER, rental_rate NUMBER, length NUMBER, replacement_cost NUMBER, rating CLOB, special_features CLOB, last_update TIME)
CREATE TABLE customer (customer_id NUMBER, store_id NUMBER, first_name CLOB, last_name CLOB, email CLOB, address_id NUMBER, active BOOLEAN, create_date TIME, last_update TIME)
CREATE TABLE country (country_id NUMBER, country CLOB, last_update TIME)
CREATE TABLE film_text (film_id NUMBER, title CLOB, description CLOB)
CREATE TABLE film_category (film_id NUMBER, category_id NUMBER, last_update TIME)
CREATE TABLE address (address_id NUMBER, address CLOB, address2 CLOB, district CLOB, city_id NUMBER, postal_code CLOB, phone CLOB, last_update TIME)
CREATE TABLE store (store_id NUMBER, manager_staff_id NUMBER, address_id NUMBER, last_update TIME)
CREATE TABLE film_actor (actor_id NUMBER, film_id NUMBER, last_update TIME)
CREATE TABLE staff (staff_id NUMBER, first_name CLOB, last_name CLOB, address_id NUMBER, picture others, email CLOB, store_id NUMBER, active BOOLEAN, username CLOB, password CLOB, last_update TIME)
| What is the genre name of the film HUNGER ROOF? | SELECT T1.name FROM category AS T1 JOIN film_category AS T2 ON T1.category_id = T2.category_id JOIN film AS T3 ON T2.film_id = T3.film_id WHERE T3.title = 'HUNGER ROOF' | SELECT "T1"."name" FROM "category" "T1" JOIN "film_category" "T2" ON "T1"."category_id" = "T2"."category_id" JOIN "film" "T3" ON "T2"."film_id" = "T3"."film_id" AND "T3"."title" = 'HUNGER ROOF' | 0.188477 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| how many patients whose age is less than 47 and lab test fluid is joint fluid? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "47" AND lab.fluid = "Joint Fluid" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Joint Fluid" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "47" > "demographic"."age" | 0.186523 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| calculate the total number of widowed patients aged below 81 | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.marital_status = "WIDOWED" AND demographic.age < "81" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "81" > "demographic"."age" AND "WIDOWED" = "demographic"."marital_status" | 0.144531 |
CREATE TABLE table_31304 ("Season" CLOB, "Ave. Attendance" FLOAT, "+/- ave. on prev. season" CLOB, "Competition" CLOB, "Occupier" CLOB)
| What is every value for average on previous season if the competition is league two? | SELECT "+/- ave. on prev. season" FROM table_31304 WHERE "Competition" = 'League Two' | SELECT "+/- ave. on prev. season" FROM "table_31304" WHERE "Competition" = 'League Two' | 0.084961 |
CREATE TABLE table_19534677_1 (_number VARCHAR2, creators VARCHAR2)
| Name the # for bill finger edmond hamilton dick sprang , et al. | SELECT _number FROM table_19534677_1 WHERE creators = "Bill Finger Edmond Hamilton Dick Sprang , et al." | SELECT "_number" FROM "table_19534677_1" WHERE "Bill Finger Edmond Hamilton Dick Sprang , et al." = "creators" | 0.107422 |
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
| Does LAW 877 have a section between 8:00 and 2:00 ? | SELECT DISTINCT course_offering.end_time, course_offering.section_number, course_offering.start_time FROM course, course_offering, semester WHERE course_offering.end_time <= '2:00' AND course_offering.start_time >= '8:00' AND course.course_id = course_offering.course_id AND course.department = 'LAW' AND course.number = 877 AND semester.semester = 'WN' AND semester.semester_id = course_offering.semester AND semester.year = 2016 | SELECT DISTINCT "course_offering"."end_time", "course_offering"."section_number", "course_offering"."start_time" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" AND "course_offering"."end_time" <= '2:00' AND "course_offering"."start_time" >= '8:00' JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'WN' AND "semester"."year" = 2016 WHERE "course"."department" = 'LAW' AND "course"."number" = 877 | 0.482422 |
CREATE TABLE table_70561 ("Year" FLOAT, "Division" FLOAT, "League" CLOB, "Regular Season" CLOB, "Playoffs" CLOB, "Open Cup" CLOB)
| What shows for Playoffs when the Open Cup shows as did not qualify, and a Regular Season was 3rd, south atlantic? | SELECT "Playoffs" FROM table_70561 WHERE "Open Cup" = 'did not qualify' AND "Regular Season" = '3rd, south atlantic' | SELECT "Playoffs" FROM "table_70561" WHERE "Open Cup" = 'did not qualify' AND "Regular Season" = '3rd, south atlantic' | 0.115234 |
CREATE TABLE table_train_278 ("id" NUMBER, "gender" CLOB, "supine" BOOLEAN, "systolic_blood_pressure_sbp" NUMBER, "hemoglobin_a1c_hba1c" FLOAT, "estimated_glomerular_filtration_rate_egfr" NUMBER, "diastolic_blood_pressure_dbp" NUMBER, "serum_creatinine" FLOAT, "bilirubin" FLOAT, "NOUSE" FLOAT)
| estimated gfr ( by modified diet in renal disease ) < 45 ml / min / 1.73 m2 ( within 2 weeks of planned cmr ) | SELECT * FROM table_train_278 WHERE estimated_glomerular_filtration_rate_egfr < 45 | SELECT * FROM "table_train_278" WHERE "estimated_glomerular_filtration_rate_egfr" < 45 | 0.083984 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| count the number of patients whose days of hospital stay is greater than 4? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.days_stay > "4" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "4" < "demographic"."days_stay" | 0.103516 |
CREATE TABLE Dorm (dormid NUMBER, dorm_name VARCHAR2, student_capacity NUMBER, gender VARCHAR2)
CREATE TABLE Student (StuID NUMBER, LName VARCHAR2, Fname VARCHAR2, Age NUMBER, Sex VARCHAR2, Major NUMBER, Advisor NUMBER, city_code VARCHAR2)
CREATE TABLE Dorm_amenity (amenid NUMBER, amenity_name VARCHAR2)
CREATE TABLE Has_amenity (dormid NUMBER, amenid NUMBER)
CREATE TABLE Lives_in (stuid NUMBER, dormid NUMBER, room_number NUMBER)
| What is the average age for each gender of student? Return a pie chart. | SELECT Sex, AVG(Age) FROM Student GROUP BY Sex | SELECT "Sex", AVG("Age") FROM "Student" GROUP BY "Sex" | 0.052734 |
CREATE TABLE table_15815 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Loss" CLOB, "Attendance" CLOB)
| What Loss had an Attendance of 17,675? | SELECT "Loss" FROM table_15815 WHERE "Attendance" = '17,675' | SELECT "Loss" FROM "table_15815" WHERE "Attendance" = '17,675' | 0.060547 |
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