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CREATE TABLE table_name_99 (location VARCHAR2, team VARCHAR2)
| What is the Location for Belshina? | SELECT location FROM table_name_99 WHERE team = "belshina" | SELECT "location" FROM "table_name_99" WHERE "belshina" = "team" | 0.0625 |
CREATE TABLE procedures_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 chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom 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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost 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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value 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 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 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 patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_icd_procedures (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 diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
| in a month before has loperamide, phenylephrine hcl or fentanyl patch been prescribed to patient 73713? | SELECT COUNT(*) > 0 FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 73713) AND prescriptions.drug IN ('loperamide', 'phenylephrine hcl', 'fentanyl patch') AND DATETIME(prescriptions.startdate, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 73713 GROUP BY "hadm_id") SELECT COUNT(*) > 0 FROM "prescriptions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE "prescriptions"."drug" IN ('loperamide', 'phenylephrine hcl', 'fentanyl patch') AND DATETIME("prescriptions"."startdate", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') AND NOT "_u_0"."" IS NULL | 0.447266 |
CREATE TABLE table_name_85 (institution VARCHAR2, enrollment NUMBER)
| Which college's enrollment is less than 1,000? | SELECT institution FROM table_name_85 WHERE enrollment < 1 OFFSET 000 | SELECT "institution" FROM "table_name_85" WHERE "enrollment" < 1 OFFSET 000 ROWS | 0.078125 |
CREATE TABLE table_204_795 (id NUMBER, "date" CLOB, "opponent" CLOB, "score" CLOB, "result" CLOB, "location" CLOB, "attendance" NUMBER)
| were more points scored against butler or purdue ? | SELECT "opponent" FROM table_204_795 WHERE "opponent" IN ('butler', 'purdue') ORDER BY "score" + "score" DESC LIMIT 1 | SELECT "opponent" FROM "table_204_795" WHERE "opponent" IN ('butler', 'purdue') ORDER BY "score" + "score" DESC FETCH FIRST 1 ROWS ONLY | 0.131836 |
CREATE TABLE table_203_799 (id NUMBER, "year" NUMBER, "date" CLOB, "title" CLOB, "format ( s ) " CLOB, "award description ( s ) " CLOB, "result ( s ) " CLOB)
| how many awards did whitney houston win for singles on her album whitney ? | SELECT COUNT("award description(s)") FROM table_203_799 WHERE "format(s)" = 'single' | SELECT COUNT("award description(s)") FROM "table_203_799" WHERE "format(s)" = 'single' | 0.083984 |
CREATE TABLE table_44305 ("Rank" FLOAT, "Country" CLOB, "Miss United Continent" FLOAT, "Virreina" FLOAT, "1st RU" FLOAT, "2nd RU" FLOAT, "3rd RU" FLOAT, "4th RU" FLOAT, "Semifinalists" FLOAT, "Total" FLOAT)
| How many semifinalists had a total less than 2, 1st RU greater than 0, 2nd RU was 0 and Miss United Continent of 0? | SELECT COUNT("Semifinalists") FROM table_44305 WHERE "Miss United Continent" = '0' AND "2nd RU" = '0' AND "1st RU" > '0' AND "Total" < '2' | SELECT COUNT("Semifinalists") FROM "table_44305" WHERE "1st RU" > '0' AND "2nd RU" = '0' AND "Miss United Continent" = '0' AND "Total" < '2' | 0.136719 |
CREATE TABLE table_12792876_3 (won VARCHAR2, points_for VARCHAR2)
| What was the won when the points for was 496? | SELECT won FROM table_12792876_3 WHERE points_for = "496" | SELECT "won" FROM "table_12792876_3" WHERE "496" = "points_for" | 0.061523 |
CREATE TABLE table_72164 ("Character" CLOB, "Fate" CLOB, "Actor" CLOB, "First Episode" CLOB, "Final Episode" CLOB, "Duration" CLOB, "Final Episode Count" FLOAT)
| what's the first epbeingode with final epbeingode being 'rio | SELECT "First Episode" FROM table_72164 WHERE "Final Episode" = 'Rio' | SELECT "First Episode" FROM "table_72164" WHERE "Final Episode" = 'Rio' | 0.069336 |
CREATE TABLE table_64467 ("Season" FLOAT, "Level" CLOB, "Division" CLOB, "Administration" CLOB, "Position" CLOB)
| What Adminstration has a Season of 2000? | SELECT "Administration" FROM table_64467 WHERE "Season" = '2000' | SELECT "Administration" FROM "table_64467" WHERE "Season" = '2000' | 0.064453 |
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 medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime 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 microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime 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 treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
| what did patient 021-93953 first have as an output on the last intensive care unit visit? | SELECT intakeoutput.celllabel FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '021-93953') AND NOT patient.unitdischargetime IS NULL ORDER BY patient.unitadmittime DESC LIMIT 1) AND intakeoutput.cellpath LIKE '%output%' ORDER BY intakeoutput.intakeoutputtime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '021-93953' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL AND NOT "patient"."unitdischargetime" IS NULL GROUP BY "patientunitstayid" ORDER BY "patient"."unitadmittime" DESC FETCH FIRST 1 ROWS ONLY) SELECT "intakeoutput"."celllabel" FROM "intakeoutput" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."cellpath" LIKE '%output%' AND NOT "_u_1"."" IS NULL ORDER BY "intakeoutput"."intakeoutputtime" FETCH FIRST 1 ROWS ONLY | 0.71582 |
CREATE TABLE university (School_ID NUMBER, School CLOB, Location CLOB, Founded FLOAT, Affiliation CLOB, Enrollment FLOAT, Nickname CLOB, Primary_conference CLOB)
CREATE TABLE basketball_match (Team_ID NUMBER, School_ID NUMBER, Team_Name CLOB, ACC_Regular_Season CLOB, ACC_Percent CLOB, ACC_Home CLOB, ACC_Road CLOB, All_Games CLOB, All_Games_Percent NUMBER, All_Home CLOB, All_Road CLOB, All_Neutral CLOB)
| Return a scatter chart about the correlation between ACC_Percent and All_Games_Percent , and group by attribute All_Neutral. | SELECT ACC_Percent, All_Games_Percent FROM basketball_match GROUP BY All_Neutral | SELECT "ACC_Percent", "All_Games_Percent" FROM "basketball_match" GROUP BY "All_Neutral" | 0.085938 |
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
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 microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime 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 diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
| count how many times patient 006-103228 went to the hospital since 3 years ago. | SELECT COUNT(DISTINCT patient.patienthealthsystemstayid) FROM patient WHERE patient.uniquepid = '006-103228' AND DATETIME(patient.hospitaladmittime) >= DATETIME(CURRENT_TIME(), '-3 year') | SELECT COUNT(DISTINCT "patient"."patienthealthsystemstayid") FROM "patient" WHERE "patient"."uniquepid" = '006-103228' AND DATETIME("patient"."hospitaladmittime") >= DATETIME(CURRENT_TIME(), '-3 year') | 0.196289 |
CREATE TABLE Faculty (FacID NUMBER, Lname VARCHAR2, Fname VARCHAR2, Rank VARCHAR2, Sex VARCHAR2, Phone NUMBER, Room VARCHAR2, Building VARCHAR2)
CREATE TABLE Activity (actid NUMBER, activity_name VARCHAR2)
CREATE TABLE Student (StuID NUMBER, LName VARCHAR2, Fname VARCHAR2, Age NUMBER, Sex VARCHAR2, Major NUMBER, Advisor NUMBER, city_code VARCHAR2)
CREATE TABLE Faculty_Participates_in (FacID NUMBER, actid NUMBER)
CREATE TABLE Participates_in (stuid NUMBER, actid NUMBER)
| Visualize a bar chart for how many male and female assistant professors do we have?, and order by the bars in descending. | SELECT Sex, COUNT(*) FROM Faculty WHERE Rank = "AsstProf" GROUP BY Sex ORDER BY Sex DESC | SELECT "Sex", COUNT(*) FROM "Faculty" WHERE "AsstProf" = "Rank" GROUP BY "Sex" ORDER BY "Sex" DESC | 0.095703 |
CREATE TABLE table_44151 ("Position" FLOAT, "Team" CLOB, "Played" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Goals For" FLOAT, "Goals Against" FLOAT, "Goal Average 1" FLOAT, "Points 2" FLOAT)
| What is the sum of Altrincham's Points 2 when they had more than 52 Goals For? | SELECT SUM("Points 2") FROM table_44151 WHERE "Goals For" > '52' AND "Team" = 'altrincham' | SELECT SUM("Points 2") FROM "table_44151" WHERE "Goals For" > '52' AND "Team" = 'altrincham' | 0.089844 |
CREATE TABLE table_204_328 (id NUMBER, "no." NUMBER, "date" CLOB, "tournament" CLOB, "winning score" CLOB, "margin of\ victory" CLOB, "runner ( s ) -up" CLOB)
| what is the number of tournaments listed on the chart ? | SELECT COUNT("tournament") FROM table_204_328 | SELECT COUNT("tournament") FROM "table_204_328" | 0.045898 |
CREATE TABLE table_30207 ("#" FLOAT, "Date" CLOB, "Opponent" CLOB, "Site/Stadium" CLOB, "Score" CLOB, "Win" CLOB, "Loss" CLOB, "Save" CLOB, "Attendance" FLOAT, "Overall Record" CLOB, "NCAAT Record" CLOB)
| What was the NCAA Tournament record after the June 26 game? | SELECT "NCAAT Record" FROM table_30207 WHERE "Date" = 'June 26' | SELECT "NCAAT Record" FROM "table_30207" WHERE "Date" = 'June 26' | 0.063477 |
CREATE TABLE table_name_9 (class VARCHAR2, year VARCHAR2, road_number VARCHAR2)
| Which class starts after 1939 and has a road number smaller than 3508? | SELECT class FROM table_name_9 WHERE year > 1939 AND road_number < 3508 | SELECT "class" FROM "table_name_9" WHERE "road_number" < 3508 AND "year" > 1939 | 0.077148 |
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 lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid 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 diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| give me the number of patients taking drug via dialys route and are younger than 41 years. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "41" AND prescriptions.route = "DIALYS" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "DIALYS" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "41" > "demographic"."age" | 0.210938 |
CREATE TABLE table_23790 ("shareholder name" CLOB, "A shares" FLOAT, "B shares" FLOAT, "% of capital" CLOB, "% of votes" CLOB)
| How many different shareholders have 2.39 % of capital? | SELECT COUNT("shareholder name") FROM table_23790 WHERE "% of capital" = '2.39' | SELECT COUNT("shareholder name") FROM "table_23790" WHERE "% of capital" = '2.39' | 0.079102 |
CREATE TABLE table_69594 ("Name" CLOB, "Circuit" CLOB, "Date" CLOB, "Winning drivers" CLOB, "Winning constructor" CLOB, "Report" CLOB)
| What was the name for the race in the Miramas circuit? | SELECT "Name" FROM table_69594 WHERE "Circuit" = 'miramas' | SELECT "Name" FROM "table_69594" WHERE "Circuit" = 'miramas' | 0.058594 |
CREATE TABLE table_202_63 (id NUMBER, "year" NUMBER, "position ( after finals ) " CLOB, "coach" CLOB, "captain" CLOB, "best & fairest" CLOB, "leading goalkicker ( goals ) " CLOB)
| who was the highest leading goalkicker from the year 1997-2014 ? | SELECT "leading goalkicker (goals)" FROM table_202_63 ORDER BY "leading goalkicker (goals)" DESC LIMIT 1 | SELECT "leading goalkicker (goals)" FROM "table_202_63" ORDER BY "leading goalkicker (goals)" DESC FETCH FIRST 1 ROWS ONLY | 0.119141 |
CREATE TABLE diagnoses (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 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 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 of the male patients are less than 74 years old? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "M" AND demographic.age < "74" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "74" > "demographic"."age" AND "M" = "demographic"."gender" | 0.130859 |
CREATE TABLE table_55500 ("Ship's name" CLOB, "Entered service" CLOB, "Ended service" CLOB, "Gross Tonnage" FLOAT, "Type of Vessel" CLOB)
| Tell me the average gross tonnage for april 1919 entered service | SELECT AVG("Gross Tonnage") FROM table_55500 WHERE "Entered service" = 'april 1919' | SELECT AVG("Gross Tonnage") FROM "table_55500" WHERE "Entered service" = 'april 1919' | 0.083008 |
CREATE TABLE table_32491 ("Name" CLOB, "Team" CLOB, "Laps" FLOAT, "Time/Retired" CLOB, "Grid" FLOAT)
| What is the average grid number for paul cruickshank racing with less than 27 laps? | SELECT AVG("Grid") FROM table_32491 WHERE "Team" = 'paul cruickshank racing' AND "Laps" < '27' | SELECT AVG("Grid") FROM "table_32491" WHERE "Laps" < '27' AND "Team" = 'paul cruickshank racing' | 0.09375 |
CREATE TABLE table_name_38 (population NUMBER, region VARCHAR2, regional_county_municipality VARCHAR2, name VARCHAR2)
| Cowansville has less than 16 regions and is a Brome-Missisquoi Municipality, what is their population? | SELECT MIN(population) FROM table_name_38 WHERE regional_county_municipality = "brome-missisquoi" AND name = "cowansville" AND region < 16 | SELECT MIN("population") FROM "table_name_38" WHERE "brome-missisquoi" = "regional_county_municipality" AND "cowansville" = "name" AND "region" < 16 | 0.144531 |
CREATE TABLE table_40825 ("AIRLINE" CLOB, "ICAO" CLOB, "IATA" CLOB, "CALLSIGN" CLOB, "COMMENCED OPERATIONS" CLOB)
| What is the commenced operation where the ICAO is KAL? | SELECT "COMMENCED OPERATIONS" FROM table_40825 WHERE "ICAO" = 'kal' | SELECT "COMMENCED OPERATIONS" FROM "table_40825" WHERE "ICAO" = 'kal' | 0.067383 |
CREATE TABLE university (School_ID NUMBER, School CLOB, Location CLOB, Founded FLOAT, Affiliation CLOB, Enrollment FLOAT, Nickname CLOB, Primary_conference CLOB)
CREATE TABLE basketball_match (Team_ID NUMBER, School_ID NUMBER, Team_Name CLOB, ACC_Regular_Season CLOB, ACC_Percent CLOB, ACC_Home CLOB, ACC_Road CLOB, All_Games CLOB, All_Games_Percent NUMBER, All_Home CLOB, All_Road CLOB, All_Neutral CLOB)
| Show me about the distribution of ACC_Regular_Season and All_Games_Percent in a bar chart, and could you order in desc by the names please? | SELECT ACC_Regular_Season, All_Games_Percent FROM basketball_match ORDER BY ACC_Regular_Season DESC | SELECT "ACC_Regular_Season", "All_Games_Percent" FROM "basketball_match" ORDER BY "ACC_Regular_Season" DESC | 0.104492 |
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_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 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 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 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 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 patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value 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 diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE procedures_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_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
| how much does it cost to get checked for fall from ladder? | 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 = 'fall from ladder')) | 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" = 'fall from ladder' 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 | 0.389648 |
CREATE TABLE table_36459 ("Name" CLOB, "GP-GS" FLOAT, "Gain" FLOAT, "Loss" FLOAT, "Long" FLOAT, "Avg/G" FLOAT)
| What is the lowest Avg/G with a Long less than 0? | SELECT MIN("Avg/G") FROM table_36459 WHERE "Long" < '0' | SELECT MIN("Avg/G") FROM "table_36459" WHERE "Long" < '0' | 0.055664 |
CREATE TABLE table_test_29 ("id" NUMBER, "bleeding" NUMBER, "left_ventricular_ejection_fraction_lvef" NUMBER, "systolic_blood_pressure_sbp" NUMBER, "hemoglobin_a1c_hba1c" FLOAT, "heart_disease" BOOLEAN, "trauma" BOOLEAN, "renal_disease" BOOLEAN, "creatinine_clearance_cl" FLOAT, "hemorrhagic_stroke" BOOLEAN, "platelet_count" FLOAT, "surgery" BOOLEAN, "thrombocytopenia" FLOAT, "liver_disease" BOOLEAN, "oral_anticoagulant_therapy" BOOLEAN, "heart_rate" NUMBER, "kidney_disease" BOOLEAN, "inr" FLOAT, "hypertension" BOOLEAN, "NOUSE" FLOAT)
| history of hemorrhagic stroke. | SELECT * FROM table_test_29 WHERE hemorrhagic_stroke = 1 | SELECT * FROM "table_test_29" WHERE "hemorrhagic_stroke" = 1 | 0.058594 |
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 treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime 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 cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
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 medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
| what was the yearly average amount of urine given to patient 027-82318 since 12/2105? | SELECT AVG(intakeoutput.cellvaluenumeric) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '027-82318')) AND intakeoutput.celllabel = 'urine' AND intakeoutput.cellpath LIKE '%output%' AND STRFTIME('%y-%m', intakeoutput.intakeoutputtime) >= '2105-12' GROUP BY STRFTIME('%y', intakeoutput.intakeoutputtime) | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '027-82318' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT AVG("intakeoutput"."cellvaluenumeric") FROM "intakeoutput" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."celllabel" = 'urine' AND "intakeoutput"."cellpath" LIKE '%output%' AND NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m', "intakeoutput"."intakeoutputtime") >= '2105-12' GROUP BY STRFTIME('%y', "intakeoutput"."intakeoutputtime") | 0.720703 |
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 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 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 were admitted before the year 2167 with a lab test name reticulocyte count, automated? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2167" AND lab.label = "Reticulocyte Count, Automated" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Reticulocyte Count, Automated" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2167" > "demographic"."admityear" | 0.211914 |
CREATE TABLE table_168274_1 (index_weighting___percentage__at_17_january_2013 VARCHAR2, company VARCHAR2)
| Name the total number of index weighting % at 17 january 2013 for bouygues | SELECT COUNT(index_weighting___percentage__at_17_january_2013) FROM table_168274_1 WHERE company = "Bouygues" | SELECT COUNT("index_weighting___percentage__at_17_january_2013") FROM "table_168274_1" WHERE "Bouygues" = "company" | 0.112305 |
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 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 instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
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 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 requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
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 area (course_id NUMBER, area VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
| What classes will help me be better prepared for taking MODGREEK 202 ? | SELECT DISTINCT advisory_requirement FROM course WHERE department = 'MODGREEK' AND number = 202 | SELECT DISTINCT "advisory_requirement" FROM "course" WHERE "department" = 'MODGREEK' AND "number" = 202 | 0.100586 |
CREATE TABLE table_14668 ("Team" CLOB, "Manager" CLOB, "Captain" CLOB, "Kit manufacturer" CLOB, "Shirt sponsor" CLOB)
| Which team is the kit manufacturer Umbro, and the captain Gary Mabbutt? | SELECT "Team" FROM table_14668 WHERE "Kit manufacturer" = 'umbro' AND "Captain" = 'gary mabbutt' | SELECT "Team" FROM "table_14668" WHERE "Captain" = 'gary mabbutt' AND "Kit manufacturer" = 'umbro' | 0.095703 |
CREATE TABLE table_31543 ("Pick" CLOB, "Player" CLOB, "Position" CLOB, "Nationality" CLOB, "NHL team" CLOB, "College/junior/club team" CLOB)
| Tell me the position for pick of 47 | SELECT "Position" FROM table_31543 WHERE "Pick" = '47' | SELECT "Position" FROM "table_31543" WHERE "Pick" = '47' | 0.054688 |
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 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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value 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 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 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 diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime 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 d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name 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_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto 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 labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
| tell me the total amount of foley patient 4368 produced on 06/02/this year. | SELECT SUM(outputevents.value) FROM outputevents WHERE outputevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 4368)) AND outputevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'foley' AND d_items.linksto = 'outputevents') AND DATETIME(outputevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND STRFTIME('%m-%d', outputevents.charttime) = '06-02' | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 4368 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'foley' AND "d_items"."linksto" = 'outputevents' GROUP BY "itemid") SELECT SUM("outputevents"."value") FROM "outputevents" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "outputevents"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "outputevents"."itemid" WHERE DATETIME("outputevents"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL AND STRFTIME('%m-%d', "outputevents"."charttime") = '06-02' | 0.831055 |
CREATE TABLE table_name_69 (nominating_festival VARCHAR2, film VARCHAR2)
| What Nominating festival was party of the adjustment film? | SELECT nominating_festival FROM table_name_69 WHERE film = "adjustment" | SELECT "nominating_festival" FROM "table_name_69" WHERE "adjustment" = "film" | 0.075195 |
CREATE TABLE host (Host_ID NUMBER, Name CLOB, Nationality CLOB, Age CLOB)
CREATE TABLE party (Party_ID NUMBER, Party_Theme CLOB, Location CLOB, First_year CLOB, Last_year CLOB, Number_of_hosts NUMBER)
CREATE TABLE party_host (Party_ID NUMBER, Host_ID NUMBER, Is_Main_in_Charge BOOLEAN)
| Give me a bar chart, that group by location and count them, show by the Location in descending. | SELECT Location, COUNT(Location) FROM party GROUP BY Location ORDER BY Location DESC | SELECT "Location", COUNT("Location") FROM "party" GROUP BY "Location" ORDER BY "Location" DESC | 0.091797 |
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange 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 PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
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 ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId 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 Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
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 ReviewTaskTypes (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 FlagTypes (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 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 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 PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
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 CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
| how many times have I said 'pivot table'?. | SELECT 'Pivot Table comments' AS pType, UserId AS "user_link", COUNT(Id) AS numMentions FROM Comments WHERE UserId IN ('##UserID##') AND Text LIKE '%pivot table%' COLLATE SQL_Latin1_General_CP1_CI_AS GROUP BY UserId UNION SELECT 'Pivot Table posts' AS pType, OwnerUserId AS "user_link", COUNT(Id) AS numMentions FROM Posts WHERE OwnerUserId IN ('##UserID##') AND Body LIKE '%pivot table%' COLLATE SQL_Latin1_General_CP1_CI_AS GROUP BY OwnerUserId | SELECT 'Pivot Table comments' AS "pType", "UserId" AS "user_link", COUNT("Id") AS "numMentions" FROM "Comments" WHERE "Text" LIKE '%pivot table%' COLLATE "SQL_Latin1_General_CP1_CI_AS" AND "UserId" IN ('##UserID##') GROUP BY "UserId" UNION SELECT 'Pivot Table posts' AS "pType", "OwnerUserId" AS "user_link", COUNT("Id") AS "numMentions" FROM "Posts" WHERE "Body" LIKE '%pivot table%' COLLATE "SQL_Latin1_General_CP1_CI_AS" AND "OwnerUserId" IN ('##UserID##') GROUP BY "OwnerUserId" | 0.470703 |
CREATE TABLE table_43634 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Attendance" CLOB)
| On what Date was the Opponent the Tennessee Titans? | SELECT "Date" FROM table_43634 WHERE "Opponent" = 'tennessee titans' | SELECT "Date" FROM "table_43634" WHERE "Opponent" = 'tennessee titans' | 0.068359 |
CREATE TABLE swimmer (ID NUMBER, name CLOB, Nationality CLOB, meter_100 FLOAT, meter_200 CLOB, meter_300 CLOB, meter_400 CLOB, meter_500 CLOB, meter_600 CLOB, meter_700 CLOB, Time CLOB)
CREATE TABLE stadium (ID NUMBER, name CLOB, Capacity NUMBER, City CLOB, Country CLOB, Opening_year NUMBER)
CREATE TABLE record (ID NUMBER, Result CLOB, Swimmer_ID NUMBER, Event_ID NUMBER)
CREATE TABLE event (ID NUMBER, Name CLOB, Stadium_ID NUMBER, Year CLOB)
| Show id from each meter 300, and rank from low to high by the names. | SELECT meter_300, ID FROM swimmer ORDER BY meter_300 | SELECT "meter_300", "ID" FROM "swimmer" ORDER BY "meter_300" | 0.058594 |
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 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)
| Provide the number of white ethnic background patients for whom a total protein body fluid lab test has been ordered. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.ethnicity = "WHITE" AND lab.label = "Total Protein, Body Fluid" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Total Protein, Body Fluid" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "WHITE" = "demographic"."ethnicity" | 0.208984 |
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 diagnoses (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)
| what is average age of patients whose admission type is newborn and insurance is self pay? | SELECT AVG(demographic.age) FROM demographic WHERE demographic.admission_type = "NEWBORN" AND demographic.insurance = "Self Pay" | SELECT AVG("demographic"."age") FROM "demographic" WHERE "NEWBORN" = "demographic"."admission_type" AND "Self Pay" = "demographic"."insurance" | 0.138672 |
CREATE TABLE table_41440 ("Season" CLOB, "Conference" CLOB, "Division" CLOB, "Finish" CLOB, "Wins" FLOAT, "Losses" FLOAT, "Win%" FLOAT)
| Which finish had a win percentage that was more than 0.598 and also had less than 53 wins? | SELECT "Finish" FROM table_41440 WHERE "Win%" > '0.598' AND "Wins" < '53' | SELECT "Finish" FROM "table_41440" WHERE "Win%" > '0.598' AND "Wins" < '53' | 0.073242 |
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE area (course_id NUMBER, area 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 comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id 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 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 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 gsi (course_offering_id NUMBER, student_id 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 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 course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
| For her classes , does Prof. Jason Harris set an exam ? | SELECT COUNT(*) = 0 FROM course INNER JOIN course_offering ON course.course_id = course_offering.course_id INNER JOIN offering_instructor ON offering_instructor.offering_id = course_offering.offering_id INNER JOIN instructor ON offering_instructor.instructor_id = instructor.instructor_id WHERE course.has_exams = 'N' AND instructor.name LIKE '%Jason Harris%' | SELECT COUNT(*) = 0 FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "offering_instructor" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" AND "instructor"."name" LIKE '%Jason Harris%' WHERE "course"."has_exams" = 'N' | 0.37207 |
CREATE TABLE Staff (staff_id NUMBER, staff_address_id NUMBER, nickname VARCHAR2, first_name VARCHAR2, middle_name VARCHAR2, last_name VARCHAR2, date_of_birth DATETIME, date_joined_staff DATETIME, date_left_staff DATETIME)
CREATE TABLE Customers (customer_id NUMBER, customer_address_id NUMBER, customer_status_code VARCHAR2, date_became_customer DATETIME, date_of_birth DATETIME, first_name VARCHAR2, last_name VARCHAR2, amount_outstanding DOUBLE PRECISION, email_address VARCHAR2, phone_number VARCHAR2, cell_mobile_phone_number VARCHAR2)
CREATE TABLE Lessons (lesson_id NUMBER, customer_id NUMBER, lesson_status_code VARCHAR2, staff_id NUMBER, vehicle_id NUMBER, lesson_date DATETIME, lesson_time VARCHAR2, price DOUBLE PRECISION)
CREATE TABLE Vehicles (vehicle_id NUMBER, vehicle_details VARCHAR2)
CREATE TABLE Customer_Payments (customer_id NUMBER, datetime_payment DATETIME, payment_method_code VARCHAR2, amount_payment DOUBLE PRECISION)
CREATE TABLE Addresses (address_id NUMBER, line_1_number_building VARCHAR2, city VARCHAR2, zip_postcode VARCHAR2, state_province_county VARCHAR2, country VARCHAR2)
| List all payment methods and number of payments using each payment methods by a bar chart, show in desc by the bar. | SELECT payment_method_code, COUNT(*) FROM Customer_Payments GROUP BY payment_method_code ORDER BY payment_method_code DESC | SELECT "payment_method_code", COUNT(*) FROM "Customer_Payments" GROUP BY "payment_method_code" ORDER BY "payment_method_code" DESC | 0.126953 |
CREATE TABLE table_name_42 (chief_judge VARCHAR2, appointed_by VARCHAR2)
| Which Chief Judge has Appointed by of reagan category:articles with hcards? | SELECT chief_judge FROM table_name_42 WHERE appointed_by = "reagan category:articles with hcards" | SELECT "chief_judge" FROM "table_name_42" WHERE "appointed_by" = "reagan category:articles with hcards" | 0.100586 |
CREATE TABLE Staff (staff_id NUMBER, staff_name VARCHAR2, gender VARCHAR2, other_staff_details VARCHAR2)
CREATE TABLE Maintenance_Contracts (maintenance_contract_id NUMBER, maintenance_contract_company_id NUMBER, contract_start_date DATETIME, contract_end_date DATETIME, other_contract_details VARCHAR2)
CREATE TABLE Engineer_Visits (engineer_visit_id NUMBER, contact_staff_id NUMBER, engineer_id NUMBER, fault_log_entry_id NUMBER, fault_status VARCHAR2, visit_start_datetime DATETIME, visit_end_datetime DATETIME, other_visit_details VARCHAR2)
CREATE TABLE Third_Party_Companies (company_id NUMBER, company_type VARCHAR2, company_name VARCHAR2, company_address VARCHAR2, other_company_details VARCHAR2)
CREATE TABLE Maintenance_Engineers (engineer_id NUMBER, company_id NUMBER, first_name VARCHAR2, last_name VARCHAR2, other_details VARCHAR2)
CREATE TABLE Skills_Required_To_Fix (part_fault_id NUMBER, skill_id NUMBER)
CREATE TABLE Asset_Parts (asset_id NUMBER, part_id NUMBER)
CREATE TABLE Parts (part_id NUMBER, part_name VARCHAR2, chargeable_yn VARCHAR2, chargeable_amount VARCHAR2, other_part_details VARCHAR2)
CREATE TABLE Part_Faults (part_fault_id NUMBER, part_id NUMBER, fault_short_name VARCHAR2, fault_description VARCHAR2, other_fault_details VARCHAR2)
CREATE TABLE Fault_Log_Parts (fault_log_entry_id NUMBER, part_fault_id NUMBER, fault_status VARCHAR2)
CREATE TABLE Fault_Log (fault_log_entry_id NUMBER, asset_id NUMBER, recorded_by_staff_id NUMBER, fault_log_entry_datetime DATETIME, fault_description VARCHAR2, other_fault_details VARCHAR2)
CREATE TABLE Skills (skill_id NUMBER, skill_code VARCHAR2, skill_description VARCHAR2)
CREATE TABLE Assets (asset_id NUMBER, maintenance_contract_id NUMBER, supplier_company_id NUMBER, asset_details VARCHAR2, asset_make VARCHAR2, asset_model VARCHAR2, asset_acquired_date DATETIME, asset_disposed_date DATETIME, other_asset_details VARCHAR2)
CREATE TABLE Engineer_Skills (engineer_id NUMBER, skill_id NUMBER)
| Give me a histogram for how many engineers did each staff contact? List both the contact staff name and number of engineers contacted, and I want to order from low to high by the bars. | SELECT staff_name, COUNT(*) FROM Staff AS T1 JOIN Engineer_Visits AS T2 ON T1.staff_id = T2.contact_staff_id GROUP BY T1.staff_name ORDER BY staff_name | SELECT "staff_name", COUNT(*) FROM "Staff" "T1" JOIN "Engineer_Visits" "T2" ON "T1"."staff_id" = "T2"."contact_staff_id" GROUP BY "T1"."staff_name" ORDER BY "staff_name" | 0.165039 |
CREATE TABLE table_17257687_1 (episode_number VARCHAR2, event_4 VARCHAR2, event_1 VARCHAR2)
| On which episode number is event 4 The Wall and event 1 the Pendulum? | SELECT COUNT(episode_number) FROM table_17257687_1 WHERE event_4 = "The Wall" AND event_1 = "Pendulum" | SELECT COUNT("episode_number") FROM "table_17257687_1" WHERE "Pendulum" = "event_1" AND "The Wall" = "event_4" | 0.107422 |
CREATE TABLE table_204_484 (id NUMBER, "song" CLOB, "artists" CLOB, "release" CLOB, "year" NUMBER, "notes" CLOB)
| which collaboration featuring plan b is ranked alphabetically above broken wings -lrb- 2005 -rrb- ? | SELECT "song" FROM table_204_484 WHERE "song" < '"broken wings"' ORDER BY "song" DESC LIMIT 1 | SELECT "song" FROM "table_204_484" WHERE "song" < '"broken wings"' ORDER BY "song" DESC FETCH FIRST 1 ROWS ONLY | 0.108398 |
CREATE TABLE table_12890 ("Game" FLOAT, "Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Location/Attendance" CLOB, "Record" CLOB, "Streak" CLOB)
| Which Record has an Opponent of milwaukee bucks? | SELECT "Record" FROM table_12890 WHERE "Opponent" = 'milwaukee bucks' | SELECT "Record" FROM "table_12890" WHERE "Opponent" = 'milwaukee bucks' | 0.069336 |
CREATE TABLE table_44131 ("Continent" CLOB, "Structure" CLOB, "Height" CLOB, "Year" FLOAT, "Country" CLOB)
| What is the Continent that also has the United States listed as a country? | SELECT "Continent" FROM table_44131 WHERE "Country" = 'united states' | SELECT "Continent" FROM "table_44131" WHERE "Country" = 'united states' | 0.069336 |
CREATE TABLE table_31153 ("Name/ designation" CLOB, "Year of intro" FLOAT, "Country of origin" CLOB, "Primary cartridge" CLOB, "Major users" CLOB)
| Who are all the major users of the Saturn Machine Pistol? | SELECT "Major users" FROM table_31153 WHERE "Name/ designation" = 'Saturn machine pistol' | SELECT "Major users" FROM "table_31153" WHERE "Name/ designation" = 'Saturn machine pistol' | 0.088867 |
CREATE TABLE table_name_84 (class VARCHAR2, quantity VARCHAR2, number_s_ VARCHAR2)
| Which class has fewer than 10 and number(s) names? | SELECT class FROM table_name_84 WHERE quantity < 10 AND number_s_ = "names" | SELECT "class" FROM "table_name_84" WHERE "names" = "number_s_" AND "quantity" < 10 | 0.081055 |
CREATE TABLE table_69424 ("Year" FLOAT, "Entrant" CLOB, "Chassis" CLOB, "Engine" CLOB, "Points" FLOAT)
| How many points did he average in 1964? | SELECT AVG("Points") FROM table_69424 WHERE "Year" = '1964' | SELECT AVG("Points") FROM "table_69424" WHERE "Year" = '1964' | 0.05957 |
CREATE TABLE diagnoses (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 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 prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| count the number of patients whose admission year is less than 2123 and lab test category is chemistry? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2123" AND lab."CATEGORY" = "Chemistry" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Chemistry" = "lab"."CATEGORY" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2123" > "demographic"."admityear" | 0.195313 |
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code 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 microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime 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 allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
| what were the hospital admission times of patient 002-8586 since 2104? | SELECT patient.hospitaladmittime FROM patient WHERE patient.uniquepid = '002-8586' AND STRFTIME('%y', patient.hospitaladmittime) >= '2104' | SELECT "patient"."hospitaladmittime" FROM "patient" WHERE "patient"."uniquepid" = '002-8586' AND STRFTIME('%y', "patient"."hospitaladmittime") >= '2104' | 0.148438 |
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 Lives_in (stuid NUMBER, dormid NUMBER, room_number NUMBER)
CREATE TABLE Has_amenity (dormid NUMBER, amenid NUMBER)
CREATE TABLE Dorm (dormid NUMBER, dorm_name VARCHAR2, student_capacity NUMBER, gender VARCHAR2)
| Find the number of students living in each city with a bar chart. | SELECT city_code, COUNT(*) FROM Student GROUP BY city_code | SELECT "city_code", COUNT(*) FROM "Student" GROUP BY "city_code" | 0.0625 |
CREATE TABLE table_name_42 (bronze NUMBER, gold VARCHAR2, silver VARCHAR2)
| What was the average bronze when gold was larger than 1 and silver was larger than 2? | SELECT AVG(bronze) FROM table_name_42 WHERE gold > 1 AND silver > 2 | SELECT AVG("bronze") FROM "table_name_42" WHERE "gold" > 1 AND "silver" > 2 | 0.073242 |
CREATE TABLE basketball_match (Team_ID NUMBER, School_ID NUMBER, Team_Name CLOB, ACC_Regular_Season CLOB, ACC_Percent CLOB, ACC_Home CLOB, ACC_Road CLOB, All_Games CLOB, All_Games_Percent NUMBER, All_Home CLOB, All_Road CLOB, All_Neutral CLOB)
CREATE TABLE university (School_ID NUMBER, School CLOB, Location CLOB, Founded FLOAT, Affiliation CLOB, Enrollment FLOAT, Nickname CLOB, Primary_conference CLOB)
| Give me the comparison about All_Games_Percent over the All_Neutral by a bar chart, and rank total number in ascending order. | SELECT All_Neutral, All_Games_Percent FROM basketball_match ORDER BY All_Games_Percent | SELECT "All_Neutral", "All_Games_Percent" FROM "basketball_match" ORDER BY "All_Games_Percent" | 0.091797 |
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_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 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 those employees who was hired before 2002-06-21, what is the relationship between manager_id and department_id ? | SELECT MANAGER_ID, DEPARTMENT_ID FROM employees WHERE HIRE_DATE < '2002-06-21' | SELECT "MANAGER_ID", "DEPARTMENT_ID" FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' | 0.083984 |
CREATE TABLE Nurse (EmployeeID NUMBER, Name VARCHAR2, Position VARCHAR2, Registered BOOLEAN, SSN NUMBER)
CREATE TABLE Medication (Code NUMBER, Name VARCHAR2, Brand VARCHAR2, Description VARCHAR2)
CREATE TABLE Affiliated_With (Physician NUMBER, Department NUMBER, PrimaryAffiliation BOOLEAN)
CREATE TABLE Stay (StayID NUMBER, Patient NUMBER, Room NUMBER, StayStart DATETIME, StayEnd DATETIME)
CREATE TABLE Trained_In (Physician NUMBER, Treatment NUMBER, CertificationDate DATETIME, CertificationExpires DATETIME)
CREATE TABLE Appointment (AppointmentID NUMBER, Patient NUMBER, PrepNurse NUMBER, Physician NUMBER, Start DATETIME, End DATETIME, ExaminationRoom CLOB)
CREATE TABLE Procedures (Code NUMBER, Name VARCHAR2, Cost FLOAT)
CREATE TABLE Block (BlockFloor NUMBER, BlockCode NUMBER)
CREATE TABLE On_Call (Nurse NUMBER, BlockFloor NUMBER, BlockCode NUMBER, OnCallStart DATETIME, OnCallEnd DATETIME)
CREATE TABLE Physician (EmployeeID NUMBER, Name VARCHAR2, Position VARCHAR2, SSN NUMBER)
CREATE TABLE Undergoes (Patient NUMBER, Procedures NUMBER, Stay NUMBER, DateUndergoes DATETIME, Physician NUMBER, AssistingNurse NUMBER)
CREATE TABLE Department (DepartmentID NUMBER, Name VARCHAR2, Head NUMBER)
CREATE TABLE Room (RoomNumber NUMBER, RoomType VARCHAR2, BlockFloor NUMBER, BlockCode NUMBER, Unavailable BOOLEAN)
CREATE TABLE Prescribes (Physician NUMBER, Patient NUMBER, Medication NUMBER, Date DATETIME, Appointment NUMBER, Dose VARCHAR2)
CREATE TABLE Patient (SSN NUMBER, Name VARCHAR2, Address VARCHAR2, Phone VARCHAR2, InsuranceID NUMBER, PCP NUMBER)
| A bar chart for listing the number of the names of patients who have made appointments. | SELECT Name, COUNT(Name) FROM Appointment AS T1 JOIN Patient AS T2 ON T1.Patient = T2.SSN GROUP BY Name | SELECT "Name", COUNT("Name") FROM "Appointment" "T1" JOIN "Patient" "T2" ON "T1"."Patient" = "T2"."SSN" GROUP BY "Name" | 0.116211 |
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
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 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)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime 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 allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
| since 2100 what are the five most frequently ordered lab tests for patients 40s? | SELECT t1.labname FROM (SELECT lab.labname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.age BETWEEN 40 AND 49) AND STRFTIME('%y', lab.labresulttime) >= '2100' GROUP BY lab.labname) AS t1 WHERE t1.c1 <= 5 | WITH "_u_0" AS (SELECT "patient"."patientunitstayid" FROM "patient" WHERE "patient"."age" <= 49 AND "patient"."age" >= 40 GROUP BY "patientunitstayid"), "t1" AS (SELECT "lab"."labname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "lab" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "lab"."patientunitstayid" WHERE NOT "_u_0"."" IS NULL AND STRFTIME('%y', "lab"."labresulttime") >= '2100' GROUP BY "lab"."labname") SELECT "t1"."labname" FROM "t1" "t1" WHERE "t1"."c1" <= 5 | 0.464844 |
CREATE TABLE table_name_39 (laps NUMBER, time VARCHAR2, grid VARCHAR2)
| What is the lowest number of Laps that have a Time of +24.440, and a Grid higher than 18? | SELECT MIN(laps) FROM table_name_39 WHERE time = "+24.440" AND grid > 18 | SELECT MIN("laps") FROM "table_name_39" WHERE "+24.440" = "time" AND "grid" > 18 | 0.078125 |
CREATE TABLE table_name_21 (opponent VARCHAR2, game_site VARCHAR2)
| Who was the Opponent at the Game Site Indianapolis Hoosierdome? | SELECT opponent FROM table_name_21 WHERE game_site = "indianapolis hoosierdome" | SELECT "opponent" FROM "table_name_21" WHERE "game_site" = "indianapolis hoosierdome" | 0.083008 |
CREATE TABLE table_name_99 (against NUMBER, points VARCHAR2, lost VARCHAR2, drawn VARCHAR2)
| What is the average against score of all teams with less than 7 losses, more than 6 draws, and 25 points? | SELECT AVG(against) FROM table_name_99 WHERE lost < 7 AND drawn > 6 AND points = 25 | SELECT AVG("against") FROM "table_name_99" WHERE "drawn" > 6 AND "lost" < 7 AND "points" = 25 | 0.09082 |
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 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 of white russian ethnicity are admitted before the year 2148? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "WHITE - RUSSIAN" AND demographic.admityear < "2148" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2148" > "demographic"."admityear" AND "WHITE - RUSSIAN" = "demographic"."ethnicity" | 0.155273 |
CREATE TABLE people (People_ID NUMBER, Name CLOB, Country CLOB, Is_Male CLOB, Age NUMBER)
CREATE TABLE church (Church_ID NUMBER, Name CLOB, Organized_by CLOB, Open_Date NUMBER, Continuation_of CLOB)
CREATE TABLE wedding (Church_ID NUMBER, Male_ID NUMBER, Female_ID NUMBER, Year NUMBER)
| A bar chart about the number of countries for all people whose age is smaller than the average, and display by the total number in descending. | SELECT Country, COUNT(Country) FROM people WHERE Age < (SELECT AVG(Age) FROM people) GROUP BY Country ORDER BY COUNT(Country) DESC | SELECT "Country", COUNT("Country") FROM "people" WHERE "Age" < (SELECT AVG("Age") FROM "people") GROUP BY "Country" ORDER BY COUNT("Country") DESC | 0.142578 |
CREATE TABLE table_100518_1 (direction VARCHAR2, mantra VARCHAR2)
| Where the mantra is 'o ya v yuve nama ', what is the direction of the guardian? | SELECT direction FROM table_100518_1 WHERE mantra = "Oṃ Yaṃ Vāyuve Namaḥ" | SELECT "direction" FROM "table_100518_1" WHERE "Oṃ Yaṃ Vāyuve Namaḥ" = "mantra" | 0.077148 |
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 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 d_icd_diagnoses (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 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 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 patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title 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 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 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 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)
| when was the last mchc test that patient 14203 received until 05/2101? | SELECT labevents.charttime FROM labevents WHERE labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'mchc') AND labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 14203) AND STRFTIME('%y-%m', labevents.charttime) <= '2101-05' ORDER BY labevents.charttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'mchc' GROUP BY "itemid"), "_u_1" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 14203 GROUP BY "hadm_id") SELECT "labevents"."charttime" FROM "labevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "labevents"."itemid" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "labevents"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m', "labevents"."charttime") <= '2101-05' ORDER BY "labevents"."charttime" DESC FETCH FIRST 1 ROWS ONLY | 0.568359 |
CREATE TABLE table_17223 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "Production code" CLOB, "U.S. viewers ( millions ) " CLOB)
| Who directed the episode that was viewed by 2.57 million people in the U.S.? | SELECT "Directed by" FROM table_17223 WHERE "U.S. viewers (millions)" = '2.57' | SELECT "Directed by" FROM "table_17223" WHERE "U.S. viewers (millions)" = '2.57' | 0.078125 |
CREATE TABLE table_name_26 (date VARCHAR2, partner VARCHAR2)
| What date was the match where Daniel Gimeno-Traver's partner was pere riba? | SELECT date FROM table_name_26 WHERE partner = "pere riba" | SELECT "date" FROM "table_name_26" WHERE "partner" = "pere riba" | 0.0625 |
CREATE TABLE table_2335 ("School" CLOB, "Location ( s ) " CLOB, "Control" CLOB, "Type" CLOB, "Enrollment ( 2005 ) " CLOB, "Founded" FLOAT)
| How many students enrolled in 2005 at New Hampshire Institute of Art? | SELECT "Enrollment (2005)" FROM table_2335 WHERE "School" = 'New Hampshire Institute of Art' | SELECT "Enrollment (2005)" FROM "table_2335" WHERE "School" = 'New Hampshire Institute of Art' | 0.091797 |
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 lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime 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 vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
| calculate the number of patients discharged from the hospital. | SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE NOT patient.hospitaldischargetime IS NULL | SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "patient" WHERE NOT "patient"."hospitaldischargetime" IS NULL | 0.108398 |
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 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 procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| provide the number of patients whose language is span and religion is unobtainable. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.language = "SPAN" AND demographic.religion = "UNOBTAINABLE" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "SPAN" = "demographic"."language" AND "UNOBTAINABLE" = "demographic"."religion" | 0.150391 |
CREATE TABLE table_32306 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What was the attendance when VFL played MCG? | SELECT MAX("Crowd") FROM table_32306 WHERE "Venue" = 'mcg' | SELECT MAX("Crowd") FROM "table_32306" WHERE "Venue" = 'mcg' | 0.058594 |
CREATE TABLE table_name_7 (sport VARCHAR2, gold VARCHAR2, silver VARCHAR2)
| What sport has a Gold larger than 0, and a Silver of 2? | SELECT sport FROM table_name_7 WHERE gold > 0 AND silver = 2 | SELECT "sport" FROM "table_name_7" WHERE "gold" > 0 AND "silver" = 2 | 0.066406 |
CREATE TABLE table_11481 ("Year" FLOAT, "Chassis" CLOB, "Engine" CLOB, "Tyres" CLOB, "Points" FLOAT)
| Tell me the average points with tyres of b and chassis of tf109 | SELECT AVG("Points") FROM table_11481 WHERE "Tyres" = 'b' AND "Chassis" = 'tf109' | SELECT AVG("Points") FROM "table_11481" WHERE "Chassis" = 'tf109' AND "Tyres" = 'b' | 0.081055 |
CREATE TABLE table_54700 ("Sail" CLOB, "Yacht" CLOB, "Syndicate" CLOB, "Yacht Club" CLOB, "Nation" CLOB)
| Which Nation has the USA-18 sail? | SELECT "Nation" FROM table_54700 WHERE "Sail" = 'usa-18' | SELECT "Nation" FROM "table_54700" WHERE "Sail" = 'usa-18' | 0.056641 |
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount 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 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 ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (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 Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostHistoryTypes (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 PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
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 PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
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 ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment 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 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 Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
| Typical number of downvotes per vote. | SELECT PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY (DownVotes / (UpVotes + DownVotes))) OVER (PARTITION BY 'a') AS downvotes_per_vote FROM Users WHERE DATEDIFF(day, CreationDate, lastaccessdate) > 60 AND DATEDIFF(day, LastAccessDate, GETDATE()) < 120 AND UpVotes + DownVotes > 50 | SELECT PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY "DownVotes" / NULLIF(("UpVotes" + "DownVotes"), 0)) OVER (PARTITION BY 'a') AS "downvotes_per_vote" FROM "Users" WHERE "UpVotes" + "DownVotes" > 50 AND DATEDIFF(CAST("day" AS DATETIME), CAST("CreationDate" AS DATETIME), LASTACCESSDATE) > 60 AND DATEDIFF(CAST("day" AS DATETIME), CAST("LastAccessDate" AS DATETIME), GETDATE()) < 120 | 0.373047 |
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 lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid 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)
| what is average age of patients whose admission type is urgent and insurance is self pay? | SELECT AVG(demographic.age) FROM demographic WHERE demographic.admission_type = "URGENT" AND demographic.insurance = "Self Pay" | SELECT AVG("demographic"."age") FROM "demographic" WHERE "Self Pay" = "demographic"."insurance" AND "URGENT" = "demographic"."admission_type" | 0.137695 |
CREATE TABLE table_56635 ("Series" FLOAT, "Year" CLOB, "Winner" CLOB, "Runner-up" CLOB, "Third place" CLOB, "Fourth place" CLOB, "Fifth place" CLOB, "Sixth place" CLOB, "Host" CLOB)
| Who was third place when Fran Dieli was fifth place? | SELECT "Third place" FROM table_56635 WHERE "Fifth place" = 'fran dieli' | SELECT "Third place" FROM "table_56635" WHERE "Fifth place" = 'fran dieli' | 0.072266 |
CREATE TABLE table_79590 ("Location" CLOB, "Name of mill" CLOB, "Type" CLOB, "Built" FLOAT, "Notes" CLOB)
| What is the Location of the Moulin Bertrand Mill? | SELECT "Location" FROM table_79590 WHERE "Name of mill" = 'moulin bertrand' | SELECT "Location" FROM "table_79590" WHERE "Name of mill" = 'moulin bertrand' | 0.075195 |
CREATE TABLE table_name_55 (home_team VARCHAR2, away_team VARCHAR2)
| Who was the home team when the away team was Footscray? | SELECT home_team FROM table_name_55 WHERE away_team = "footscray" | SELECT "home_team" FROM "table_name_55" WHERE "away_team" = "footscray" | 0.069336 |
CREATE TABLE table_65912 ("Rank" FLOAT, "Lane" FLOAT, "Athlete" CLOB, "Country" CLOB, "Time" FLOAT, "React" FLOAT)
| Which React has a Lane smaller than 4, and a Rank larger than 4, and a Time larger than 23.22? | SELECT AVG("React") FROM table_65912 WHERE "Lane" < '4' AND "Rank" > '4' AND "Time" > '23.22' | SELECT AVG("React") FROM "table_65912" WHERE "Lane" < '4' AND "Rank" > '4' AND "Time" > '23.22' | 0.092773 |
CREATE TABLE enzyme (id NUMBER, name CLOB, Location CLOB, Product CLOB, Chromosome CLOB, OMIM NUMBER, Porphyria CLOB)
CREATE TABLE medicine (id NUMBER, name CLOB, Trade_Name CLOB, FDA_approved CLOB)
CREATE TABLE medicine_enzyme_interaction (enzyme_id NUMBER, medicine_id NUMBER, interaction_type CLOB)
| Visualize a bar chart for what are the ids and trade names of the medicine that can interact with at least 3 enzymes?, could you sort x-axis in desc order? | SELECT Trade_Name, id FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id ORDER BY Trade_Name DESC | SELECT "Trade_Name", "id" FROM "medicine" "T1" JOIN "medicine_enzyme_interaction" "T2" ON "T1"."id" = "T2"."medicine_id" ORDER BY "Trade_Name" DESC | 0.143555 |
CREATE TABLE table_20444 ("Party" CLOB, "Marplan" CLOB, "Gallup" CLOB, "National Opinion Polls ( NOP ) " CLOB, "Opinion Research Centre ( OPC ) " CLOB, "Harris" CLOB)
| On all other parties the National option polls are at 1.3% where as the opinion research pole is at what percentage? | SELECT "Opinion Research Centre (OPC)" FROM table_20444 WHERE "National Opinion Polls (NOP)" = '1.3%' | SELECT "Opinion Research Centre (OPC)" FROM "table_20444" WHERE "National Opinion Polls (NOP)" = '1.3%' | 0.100586 |
CREATE TABLE table_17013 ("Institution" CLOB, "Location" CLOB, "Founded" FLOAT, "Type" CLOB, "Enrollment" FLOAT, "Nickname" CLOB, "Joined" FLOAT, "Left" FLOAT, "Current Conference" CLOB)
| How many times did anderson university leave? | SELECT COUNT("Left") FROM table_17013 WHERE "Institution" = 'Anderson University' | SELECT COUNT("Left") FROM "table_17013" WHERE "Institution" = 'Anderson University' | 0.081055 |
CREATE TABLE FlagTypes (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 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)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
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 ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId 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 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 ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress 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 ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId 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 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 PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment 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 ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
| Posts containing a given text (case insensitive, including title). | SELECT Id AS "post_link", OwnerUserId AS "user_link", CreationDate, LastActivityDate, Score, ViewCount, Body FROM Posts WHERE (CONCAT(LOWER(Title), ' ', LOWER(Body)) LIKE '%##text?analisi##%') ORDER BY CreationDate DESC LIMIT 500 | SELECT "Id" AS "post_link", "OwnerUserId" AS "user_link", "CreationDate", "LastActivityDate", "Score", "ViewCount", "Body" FROM "Posts" WHERE CONCAT(LOWER("Title"), ' ', LOWER("Body")) LIKE '%##text?analisi##%' ORDER BY "CreationDate" DESC FETCH FIRST 500 ROWS ONLY | 0.258789 |
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 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)
| Find the insurance of subject id 3284. | SELECT demographic.insurance FROM demographic WHERE demographic.subject_id = "3284" | SELECT "demographic"."insurance" FROM "demographic" WHERE "3284" = "demographic"."subject_id" | 0.09082 |
CREATE TABLE diagnoses (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 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 prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| provide me the number of patients with chest pain primary disease who have procedure icd9 code 3521. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.diagnosis = "CHEST PAIN" AND procedures.icd9_code = "3521" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "3521" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "CHEST PAIN" = "demographic"."diagnosis" | 0.217773 |
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 diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime 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 treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
| tell me patient 027-165214's average systemicmean since 891 days ago? | SELECT AVG(vitalperiodic.systemicmean) FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '027-165214')) AND NOT vitalperiodic.systemicmean IS NULL AND DATETIME(vitalperiodic.observationtime) >= DATETIME(CURRENT_TIME(), '-891 day') | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '027-165214' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT AVG("vitalperiodic"."systemicmean") FROM "vitalperiodic" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "vitalperiodic"."patientunitstayid" WHERE DATETIME("vitalperiodic"."observationtime") >= DATETIME(CURRENT_TIME(), '-891 day') AND NOT "_u_1"."" IS NULL AND NOT "vitalperiodic"."systemicmean" IS NULL | 0.641602 |
CREATE TABLE table_203_190 (id NUMBER, "name" CLOB, "type" CLOB, "circle" CLOB, "bench" CLOB, "formed" NUMBER, "notes" CLOB)
| what is the total number of states formed between 1000 and 1200 ? | SELECT COUNT("name") FROM table_203_190 WHERE "formed" >= 1000 AND "formed" <= 1200 | SELECT COUNT("name") FROM "table_203_190" WHERE "formed" <= 1200 AND "formed" >= 1000 | 0.083008 |
CREATE TABLE table_name_66 (games VARCHAR2, goals NUMBER, name VARCHAR2)
| What is the average Goals/Games for Rummenigge, Karl-Heinz, with Goals less than 162? | SELECT AVG(goals) / games FROM table_name_66 WHERE name = "rummenigge, karl-heinz" AND goals < 162 | SELECT AVG("goals") / NULLIF("games", 0) FROM "table_name_66" WHERE "goals" < 162 AND "name" = "rummenigge, karl-heinz" | 0.116211 |
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 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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value 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 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_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name 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 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 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 transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
| what were the five most frequent diagnoses among the patients 30s? | SELECT d_icd_diagnoses.short_title FROM d_icd_diagnoses WHERE d_icd_diagnoses.icd9_code IN (SELECT t1.icd9_code FROM (SELECT diagnoses_icd.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM diagnoses_icd WHERE diagnoses_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.age BETWEEN 30 AND 39) GROUP BY diagnoses_icd.icd9_code) AS t1 WHERE t1.c1 <= 5) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."age" <= 39 AND "admissions"."age" >= 30 GROUP BY "hadm_id"), "t1" AS (SELECT "diagnoses_icd"."icd9_code", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "diagnoses_icd" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "diagnoses_icd"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "diagnoses_icd"."icd9_code"), "_u_1" AS (SELECT "t1"."icd9_code" FROM "t1" "t1" WHERE "t1"."c1" <= 5 GROUP BY "icd9_code") SELECT "d_icd_diagnoses"."short_title" FROM "d_icd_diagnoses" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "d_icd_diagnoses"."icd9_code" WHERE NOT "_u_1"."" IS NULL | 0.629883 |
CREATE TABLE exhibition_record (exhibition_id NUMBER, date CLOB, attendance NUMBER)
CREATE TABLE artist (artist_id NUMBER, name CLOB, country CLOB, year_join NUMBER, age NUMBER)
CREATE TABLE exhibition (exhibition_id NUMBER, year NUMBER, theme CLOB, artist_id NUMBER, ticket_price NUMBER)
| Show all artist names with an average exhibition attendance over 200. | SELECT T3.name FROM exhibition_record AS T1 JOIN exhibition AS T2 ON T1.exhibition_id = T2.exhibition_id JOIN artist AS T3 ON T3.artist_id = T2.artist_id GROUP BY T3.artist_id HAVING AVG(T1.attendance) > 200 | SELECT "T3"."name" FROM "exhibition_record" "T1" JOIN "exhibition" "T2" ON "T1"."exhibition_id" = "T2"."exhibition_id" JOIN "artist" "T3" ON "T2"."artist_id" = "T3"."artist_id" GROUP BY "T3"."artist_id" HAVING AVG("T1"."attendance") > 200 | 0.232422 |
CREATE TABLE table_name_83 (capacity__thousands_of_metric_tons_ VARCHAR2, operator VARCHAR2)
| What is the capacity of the mine that is operated by Cyprus Amax minerals? | SELECT capacity__thousands_of_metric_tons_ FROM table_name_83 WHERE operator = "cyprus amax minerals" | SELECT "capacity__thousands_of_metric_tons_" FROM "table_name_83" WHERE "cyprus amax minerals" = "operator" | 0.104492 |
CREATE TABLE table_31133 ("Country" CLOB, "Remittances 2008" CLOB, "Remittances 2009" CLOB, "Remittances 2010" CLOB, "Remittances 2011" CLOB)
| how many remittances in 2010 where the remittances is 19.73? | SELECT COUNT("Remittances 2010") FROM table_31133 WHERE "Remittances 2009" = '19.73' | SELECT COUNT("Remittances 2010") FROM "table_31133" WHERE "Remittances 2009" = '19.73' | 0.083984 |
CREATE TABLE table_40149 ("Value" CLOB, "\\u20ac equiv." CLOB, "Diameter" CLOB, "Weight" CLOB, "Composition" CLOB)
| How much does the coin with a 14mm diameter weigh? | SELECT "Weight" FROM table_40149 WHERE "Diameter" = '14mm' | SELECT "Weight" FROM "table_40149" WHERE "Diameter" = '14mm' | 0.058594 |
Subsets and Splits