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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 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 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 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)
| is the value of hgb of patient 029-27704 last measured on the last hospital visit greater than first measured on the last hospital visit? | SELECT (SELECT lab.labresult FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '029-27704' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime DESC LIMIT 1)) AND lab.labname = 'hgb' ORDER BY lab.labresulttime DESC LIMIT 1) > (SELECT lab.labresult FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '029-27704' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime DESC LIMIT 1)) AND lab.labname = 'hgb' ORDER BY lab.labresulttime LIMIT 1) | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '029-27704' AND NOT "patient"."hospitaldischargetime" IS NULL GROUP BY "patienthealthsystemstayid" ORDER BY "patient"."hospitaladmittime" DESC FETCH FIRST 1 ROWS ONLY), "_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"), "_u_4" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_3" ON "_u_3"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_3"."" IS NULL GROUP BY "patientunitstayid") SELECT (SELECT "lab"."labresult" FROM "lab" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = 'hgb' AND NOT "_u_1"."" IS NULL ORDER BY "lab"."labresulttime" DESC FETCH FIRST 1 ROWS ONLY) > (SELECT "lab"."labresult" FROM "lab" LEFT JOIN "_u_4" "_u_4" ON "_u_4"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = 'hgb' AND NOT "_u_4"."" IS NULL ORDER BY "lab"."labresulttime" FETCH FIRST 1 ROWS ONLY) | 1.086914 |
CREATE TABLE table_71797 ("Manager" CLOB, "Years" CLOB, "Games" FLOAT, "Wins" FLOAT, "Losses" FLOAT)
| What was the sum of Richie Hebner winning games that were smaller 34? | SELECT SUM("Games") FROM table_71797 WHERE "Manager" = 'richie hebner' AND "Wins" < '34' | SELECT SUM("Games") FROM "table_71797" WHERE "Manager" = 'richie hebner' AND "Wins" < '34' | 0.087891 |
CREATE TABLE table_11734041_9 (player VARCHAR2, years_for_rockets VARCHAR2)
| Which player who played for the Rockets for the years 1986-92? | SELECT player FROM table_11734041_9 WHERE years_for_rockets = "1986-92" | SELECT "player" FROM "table_11734041_9" WHERE "1986-92" = "years_for_rockets" | 0.075195 |
CREATE TABLE table_66961 ("Region" CLOB, "Date" CLOB, "Label" CLOB, "Format" CLOB, "Catalog" CLOB)
| Which region had a label of Central Station? | SELECT "Region" FROM table_66961 WHERE "Label" = 'central station' | SELECT "Region" FROM "table_66961" WHERE "Label" = 'central station' | 0.066406 |
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)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| provide the number of patients whose discharge location is dead/expired and diagnoses icd9 code is 4254? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.discharge_location = "DEAD/EXPIRED" AND diagnoses.icd9_code = "4254" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "4254" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "DEAD/EXPIRED" = "demographic"."discharge_location" | 0.225586 |
CREATE TABLE table_name_60 (sponsor_s_ VARCHAR2, rounds VARCHAR2, driver_s_ VARCHAR2)
| Who sponsors Josele Garza in all rounds? | SELECT sponsor_s_ FROM table_name_60 WHERE rounds = "all" AND driver_s_ = "josele garza" | SELECT "sponsor_s_" FROM "table_name_60" WHERE "all" = "rounds" AND "driver_s_" = "josele garza" | 0.09375 |
CREATE TABLE table_train_264 ("id" NUMBER, "stroke" BOOLEAN, "hematocrit_hct" FLOAT, "serum_psa" FLOAT, "coronary_artery_disease_cad" BOOLEAN, "international_prostate_symptom_score_ipss" NUMBER, "hypertension" BOOLEAN, "NOUSE" FLOAT)
| serum psa of 4 ng / ml | SELECT * FROM table_train_264 WHERE serum_psa = 4 | SELECT * FROM "table_train_264" WHERE "serum_psa" = 4 | 0.051758 |
CREATE TABLE table_name_33 (region VARCHAR2, date VARCHAR2)
| Name the region for december 7, 2004 | SELECT region FROM table_name_33 WHERE date = "december 7, 2004" | SELECT "region" FROM "table_name_33" WHERE "date" = "december 7, 2004" | 0.068359 |
CREATE TABLE table_61332 ("Res." CLOB, "Record" CLOB, "Opponent" CLOB, "Method" CLOB, "Event" CLOB, "Round" FLOAT, "Time" CLOB, "Location" CLOB)
| Which Res has a Time of 11:58? | SELECT "Res." FROM table_61332 WHERE "Time" = '11:58' | SELECT "Res." FROM "table_61332" WHERE "Time" = '11:58' | 0.053711 |
CREATE TABLE table_65922 ("Rank" FLOAT, "Lane" FLOAT, "Athlete" CLOB, "Nationality" CLOB, "Time" FLOAT, "React" FLOAT)
| Which Lane has a Rank larger than 3, and a Time larger than 45.63, and a Reaction smaller than 0.28800000000000003, and an Athlete of geiner mosquera? | SELECT MAX("Lane") FROM table_65922 WHERE "Rank" > '3' AND "Time" > '45.63' AND "React" < '0.28800000000000003' AND "Athlete" = 'geiner mosquera' | SELECT MAX("Lane") FROM "table_65922" WHERE "Athlete" = 'geiner mosquera' AND "Rank" > '3' AND "React" < '0.28800000000000003' AND "Time" > '45.63' | 0.143555 |
CREATE TABLE table_24224647_2 (year_premiered VARCHAR2, main_presenter VARCHAR2)
| How many years premiered have Sa Beining as main presenter? | SELECT COUNT(year_premiered) FROM table_24224647_2 WHERE main_presenter = "Sa Beining" | SELECT COUNT("year_premiered") FROM "table_24224647_2" WHERE "Sa Beining" = "main_presenter" | 0.089844 |
CREATE TABLE table_name_42 (date VARCHAR2, works_number VARCHAR2, number VARCHAR2)
| Name the date with works number less than 1673 and number less than 3 | SELECT date FROM table_name_42 WHERE works_number < 1673 AND number < 3 | SELECT "date" FROM "table_name_42" WHERE "number" < 3 AND "works_number" < 1673 | 0.077148 |
CREATE TABLE table_52765 ("Name" CLOB, "Pennant" CLOB, "Builder" CLOB, "Laid Down" CLOB, "Launched" CLOB, "Commissioned" CLOB)
| when was the destroyer launched when it was laid down on 14 august 1942? | SELECT "Launched" FROM table_52765 WHERE "Laid Down" = '14 august 1942' | SELECT "Launched" FROM "table_52765" WHERE "Laid Down" = '14 august 1942' | 0.071289 |
CREATE TABLE table_name_54 (against VARCHAR2, played NUMBER)
| How many Against have Played smaller than 18? | SELECT COUNT(against) FROM table_name_54 WHERE played < 18 | SELECT COUNT("against") FROM "table_name_54" WHERE "played" < 18 | 0.0625 |
CREATE TABLE table_204_191 (id NUMBER, "title" CLOB, "artist" CLOB, "year" CLOB, "location/gps coordinates" CLOB, "material" CLOB, "dimensions" CLOB, "owner" CLOB)
| which artist is listed next after charles grafly ? | SELECT "artist" FROM table_204_191 WHERE id = (SELECT id FROM table_204_191 WHERE "artist" = 'charles grafly') + 1 | SELECT "artist" FROM "table_204_191" WHERE "id" = (SELECT "id" FROM "table_204_191" WHERE "artist" = 'charles grafly') + 1 | 0.119141 |
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 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 treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime 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 lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
| how much is patient 029-19659's weight for the last time in 04/last year? | SELECT patient.admissionweight FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '029-19659') AND NOT patient.admissionweight IS NULL AND DATETIME(patient.unitadmittime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m', patient.unitadmittime) = '04' ORDER BY patient.unitadmittime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '029-19659' GROUP BY "patienthealthsystemstayid") SELECT "patient"."admissionweight" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE DATETIME("patient"."unitadmittime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_0"."" IS NULL AND NOT "patient"."admissionweight" IS NULL AND STRFTIME('%m', "patient"."unitadmittime") = '04' ORDER BY "patient"."unitadmittime" DESC FETCH FIRST 1 ROWS ONLY | 0.569336 |
CREATE TABLE table_77983 ("Player" CLOB, "Position" CLOB, "Round" FLOAT, "Pick" FLOAT, "NFL Club" CLOB)
| During which round was a Hawkeyes player selected for the defensive back position? | SELECT "Round" FROM table_77983 WHERE "Position" = 'defensive back' | SELECT "Round" FROM "table_77983" WHERE "Position" = 'defensive back' | 0.067383 |
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 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 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)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
| what was the price of patient 002-17412's hospital stay since 5 years ago? | SELECT SUM(cost.cost) FROM cost WHERE cost.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '002-17412') AND DATETIME(cost.chargetime) >= DATETIME(CURRENT_TIME(), '-5 year') | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '002-17412' GROUP BY "patienthealthsystemstayid") SELECT SUM("cost"."cost") FROM "cost" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "cost"."patienthealthsystemstayid" WHERE DATETIME("cost"."chargetime") >= DATETIME(CURRENT_TIME(), '-5 year') AND NOT "_u_0"."" IS NULL | 0.359375 |
CREATE TABLE table_78951 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
| What was Momoko Ueda's place? | SELECT "Place" FROM table_78951 WHERE "Player" = 'momoko ueda' | SELECT "Place" FROM "table_78951" WHERE "Player" = 'momoko ueda' | 0.0625 |
CREATE TABLE table_49753 ("City" CLOB, "Country" CLOB, "IATA" CLOB, "ICAO" CLOB, "Airport" CLOB)
| What is the airport when the iata is tbj? | SELECT "Airport" FROM table_49753 WHERE "IATA" = 'tbj' | SELECT "Airport" FROM "table_49753" WHERE "IATA" = 'tbj' | 0.054688 |
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 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)
| count the number of patients whose age is less than 55 and diagnoses long title is closed fracture of base of skull with subarachnoid, subdural, and extradural hemorrhage, with loss of consciousness of unspecified duration? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.age < "55" AND diagnoses.long_title = "Closed fracture of base of skull with subarachnoid, subdural, and extradural hemorrhage, with loss of consciousness of unspecified duration" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Closed fracture of base of skull with subarachnoid, subdural, and extradural hemorrhage, with loss of consciousness of unspecified duration" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "55" > "demographic"."age" | 0.333984 |
CREATE TABLE table_2723 ("Age ( before ) " CLOB, "America" CLOB, "Atlantic Europe" CLOB, "Maghreb" CLOB, "Mediterranean Europe" CLOB, "Central Europe" CLOB)
| What is every entry for Atlantic Europe when Central Europe is Wisconsin stage? | SELECT "Atlantic Europe" FROM table_2723 WHERE "Central Europe" = 'Wisconsin Stage' | SELECT "Atlantic Europe" FROM "table_2723" WHERE "Central Europe" = 'Wisconsin Stage' | 0.083008 |
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 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)
| count the number of patients with coronary artery primary disease who have stayed more than 3 days in hospital. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "CORONARY ARTERY DISEASE" AND demographic.days_stay > "3" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "3" < "demographic"."days_stay" AND "CORONARY ARTERY DISEASE" = "demographic"."diagnosis" | 0.160156 |
CREATE TABLE table_3572 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "Production code" FLOAT, "U.S. viewers ( millions ) " CLOB)
| What was the title of the episode with a production code of 2010? | SELECT "Title" FROM table_3572 WHERE "Production code" = '2010' | SELECT "Title" FROM "table_3572" WHERE "Production code" = '2010' | 0.063477 |
CREATE TABLE table_53734 ("Outcome" CLOB, "Date" FLOAT, "Tournament" CLOB, "Partner" CLOB, "Opponents in the final" CLOB, "Score in the final" CLOB)
| What is the Partner with Opponents in the final with roy emerson rod laver, with Date smaller than 1975? | SELECT "Partner" FROM table_53734 WHERE "Opponents in the final" = 'roy emerson rod laver' AND "Date" < '1975' | SELECT "Partner" FROM "table_53734" WHERE "Date" < '1975' AND "Opponents in the final" = 'roy emerson rod laver' | 0.109375 |
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)
| Group by all acc road, show the team id and acc percent in a scatter plot. | SELECT Team_ID, ACC_Percent FROM basketball_match GROUP BY ACC_Road | SELECT "Team_ID", "ACC_Percent" FROM "basketball_match" GROUP BY "ACC_Road" | 0.073242 |
CREATE TABLE table_name_94 (score VARCHAR2, tournament VARCHAR2)
| What is the Score of the Pingguo Tournament? | SELECT score FROM table_name_94 WHERE tournament = "pingguo" | SELECT "score" FROM "table_name_94" WHERE "pingguo" = "tournament" | 0.064453 |
CREATE TABLE table_name_75 (week NUMBER, winning_team VARCHAR2, event VARCHAR2)
| How many weeks have a Winning team of yellow team, and an Event of foos it or lose it? | SELECT SUM(week) FROM table_name_75 WHERE winning_team = "yellow team" AND event = "foos it or lose it" | SELECT SUM("week") FROM "table_name_75" WHERE "event" = "foos it or lose it" AND "winning_team" = "yellow team" | 0.108398 |
CREATE TABLE table_name_66 (record VARCHAR2, date VARCHAR2)
| What is the record on March 16? | SELECT record FROM table_name_66 WHERE date = "march 16" | SELECT "record" FROM "table_name_66" WHERE "date" = "march 16" | 0.060547 |
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 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 diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| provide the number of patients whose admission type is emergency and age is less than 70? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "EMERGENCY" AND demographic.age < "70" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "70" > "demographic"."age" AND "EMERGENCY" = "demographic"."admission_type" | 0.146484 |
CREATE TABLE table_25437 ("Edition" CLOB, "Round" CLOB, "Date" CLOB, "Against" CLOB, "Surface" CLOB, "Opponent" CLOB, "W\\u2013L" CLOB, "Result" CLOB)
| Name the opponent for 3 6, 4 6, 6 1, 6 7 (7 9) | SELECT "Opponent" FROM table_25437 WHERE "Result" = '3–6, 4–6, 6–1, 6–7 (7–9)' | SELECT "Opponent" FROM "table_25437" WHERE "Result" = '3–6, 4–6, 6–1, 6–7 (7–9)' | 0.078125 |
CREATE TABLE table_39101 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Game site" CLOB, "Attendance" FLOAT)
| What's the Lowest Attendance with a Game site of Riverfront Stadium? | SELECT MIN("Attendance") FROM table_39101 WHERE "Game site" = 'riverfront stadium' | SELECT MIN("Attendance") FROM "table_39101" WHERE "Game site" = 'riverfront stadium' | 0.082031 |
CREATE TABLE Part_Faults (part_fault_id NUMBER, part_id NUMBER, fault_short_name VARCHAR2, fault_description VARCHAR2, other_fault_details 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 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 Maintenance_Engineers (engineer_id NUMBER, company_id NUMBER, first_name VARCHAR2, last_name VARCHAR2, other_details VARCHAR2)
CREATE TABLE Parts (part_id NUMBER, part_name VARCHAR2, chargeable_yn VARCHAR2, chargeable_amount VARCHAR2, other_part_details 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 Asset_Parts (asset_id NUMBER, part_id NUMBER)
CREATE TABLE Engineer_Skills (engineer_id NUMBER, skill_id NUMBER)
CREATE TABLE Staff (staff_id NUMBER, staff_name VARCHAR2, gender VARCHAR2, other_staff_details VARCHAR2)
CREATE TABLE Skills_Required_To_Fix (part_fault_id NUMBER, skill_id NUMBER)
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 Skills (skill_id NUMBER, skill_code VARCHAR2, skill_description VARCHAR2)
CREATE TABLE Fault_Log_Parts (fault_log_entry_id NUMBER, part_fault_id NUMBER, fault_status VARCHAR2)
| How many engineers did each staff contact? List both the contact staff name and number of engineers contacted Plot them as bar chart, I want to order in desc by the y axis. | 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 COUNT(*) DESC | 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 COUNT(*) DESC | 0.166016 |
CREATE TABLE table_18421 ("District" CLOB, "Incumbent" CLOB, "Party" CLOB, "First elected" FLOAT, "Result" CLOB, "Candidates" CLOB)
| What candidates were in the election when a republican was re-elected? | SELECT "Candidates" FROM table_18421 WHERE "Result" = 'Re-elected' AND "Party" = 'Republican' | SELECT "Candidates" FROM "table_18421" WHERE "Party" = 'Republican' AND "Result" = 'Re-elected' | 0.092773 |
CREATE TABLE table_72899 ("Position" FLOAT, "Team" CLOB, "Played" FLOAT, "Won" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Goals For" FLOAT, "Goals Against" FLOAT, "Goal Average 1" CLOB, "Points 2" FLOAT)
| List all losses with average goals of 1.21. | SELECT "Lost" FROM table_72899 WHERE "Goal Average 1" = '1.21' | SELECT "Lost" FROM "table_72899" WHERE "Goal Average 1" = '1.21' | 0.0625 |
CREATE TABLE table_76793 ("Year" FLOAT, "Tournament" CLOB, "Surface" CLOB, "Round" CLOB, "Winner" CLOB, "Score" CLOB, "Length ( H:MM ) " CLOB, "Sets" CLOB, "Federer" FLOAT, "Nadal" FLOAT)
| What tournament did Nadal win and had a nadal of 16? | SELECT "Tournament" FROM table_76793 WHERE "Winner" = 'nadal' AND "Nadal" = '16' | SELECT "Tournament" FROM "table_76793" WHERE "Nadal" = '16' AND "Winner" = 'nadal' | 0.080078 |
CREATE TABLE table_11658094_3 (nickname VARCHAR2, enrollment VARCHAR2)
| What is the nickname of the school with an enrollment of 2386? | SELECT nickname FROM table_11658094_3 WHERE enrollment = 2386 | SELECT "nickname" FROM "table_11658094_3" WHERE "enrollment" = 2386 | 0.06543 |
CREATE TABLE table_name_7 (date VARCHAR2, opponent VARCHAR2)
| When was varvara lepchenko the opponent? | SELECT date FROM table_name_7 WHERE opponent = "varvara lepchenko" | SELECT "date" FROM "table_name_7" WHERE "opponent" = "varvara lepchenko" | 0.070313 |
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
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 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 microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime 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 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)
| when was the first time patient 022-158213 has been diagnosed with diabetes mellitus the last year? | SELECT diagnosis.diagnosistime FROM diagnosis WHERE diagnosis.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '022-158213')) AND diagnosis.diagnosisname = 'diabetes mellitus' AND DATETIME(diagnosis.diagnosistime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') ORDER BY diagnosis.diagnosistime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '022-158213' 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 "diagnosis"."diagnosistime" FROM "diagnosis" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "diagnosis"."patientunitstayid" WHERE "diagnosis"."diagnosisname" = 'diabetes mellitus' AND DATETIME("diagnosis"."diagnosistime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_1"."" IS NULL ORDER BY "diagnosis"."diagnosistime" FETCH FIRST 1 ROWS ONLY | 0.717773 |
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 regions (REGION_ID NUMBER, REGION_NAME 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 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 whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, show me about the distribution of job_id and the average of salary , and group by attribute job_id in a bar chart, display in ascending by the Y. | SELECT JOB_ID, AVG(SALARY) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 GROUP BY JOB_ID ORDER BY AVG(SALARY) | SELECT "JOB_ID", AVG("SALARY") FROM "employees" WHERE ("COMMISSION_PCT" <> "null" OR "DEPARTMENT_ID" <> 40) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" <= 12000) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" >= 8000) GROUP BY "JOB_ID" ORDER BY AVG("SALARY") | 0.239258 |
CREATE TABLE event (ID NUMBER, Name CLOB, Stadium_ID NUMBER, Year CLOB)
CREATE TABLE stadium (ID NUMBER, name CLOB, Capacity NUMBER, City CLOB, Country CLOB, Opening_year NUMBER)
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 record (ID NUMBER, Result CLOB, Swimmer_ID NUMBER, Event_ID NUMBER)
| Show total number of id from each meter 200, I want to sort in ascending by the Y. | SELECT meter_200, SUM(ID) FROM swimmer GROUP BY meter_200 ORDER BY SUM(ID) | SELECT "meter_200", SUM("ID") FROM "swimmer" GROUP BY "meter_200" ORDER BY SUM("ID") | 0.082031 |
CREATE TABLE table_55299 ("NGC number" FLOAT, "Object type" CLOB, "Constellation" CLOB, "Right ascension ( J2000 ) " CLOB, "Declination ( J2000 ) " CLOB, "Apparent magnitude" FLOAT)
| I want the sum of NGC number for spiral galaxy and right acension of 08h14m40.4s | SELECT SUM("NGC number") FROM table_55299 WHERE "Object type" = 'spiral galaxy' AND "Right ascension ( J2000 )" = '08h14m40.4s' | SELECT SUM("NGC number") FROM "table_55299" WHERE "Object type" = 'spiral galaxy' AND "Right ascension ( J2000 )" = '08h14m40.4s' | 0.125977 |
CREATE TABLE table_name_4 (away_team VARCHAR2, home_team VARCHAR2)
| What was the score for the away team when geelong was the home team? | SELECT away_team AS score FROM table_name_4 WHERE home_team = "geelong" | SELECT "away_team" AS "score" FROM "table_name_4" WHERE "geelong" = "home_team" | 0.077148 |
CREATE TABLE table_name_53 (away_team VARCHAR2, venue VARCHAR2)
| What was the score of the away team while playing at the arden street oval? | SELECT away_team AS score FROM table_name_53 WHERE venue = "arden street oval" | SELECT "away_team" AS "score" FROM "table_name_53" WHERE "arden street oval" = "venue" | 0.083984 |
CREATE TABLE table_26160007_1 (country VARCHAR2, exports VARCHAR2)
| In which country are there 1,278.13 exports? | SELECT country FROM table_26160007_1 WHERE exports = "1,278.13" | SELECT "country" FROM "table_26160007_1" WHERE "1,278.13" = "exports" | 0.067383 |
CREATE TABLE table_204_449 (id NUMBER, "no" NUMBER, "episode" CLOB, "title" CLOB, "original airdate" CLOB, "viewers" NUMBER, "nightly\ rank" NUMBER)
| how many viewers watched the episode together we are one ? | SELECT "viewers" FROM table_204_449 WHERE "title" = '"together we are one"' | SELECT "viewers" FROM "table_204_449" WHERE "title" = '"together we are one"' | 0.075195 |
CREATE TABLE table_204_985 (id NUMBER, "season" CLOB, "competition" CLOB, "round" CLOB, "club" CLOB, "home" CLOB, "away" CLOB, "aggregate" CLOB)
| fc schalke 04 and what other club beat them ? | SELECT "club" FROM table_204_985 WHERE "club" <> 'fc schalke 04' AND "aggregate" < "aggregate" | SELECT "club" FROM "table_204_985" WHERE "aggregate" < "aggregate" AND "club" <> 'fc schalke 04' | 0.09375 |
CREATE TABLE table_19476 ("Date Released" CLOB, "Polling institute" CLOB, "Socialist" CLOB, "Social Democratic" CLOB, "Peoples Party" CLOB, "Green-Communist" CLOB, "Left Bloc" CLOB, "Lead" CLOB)
| How many socialists correspond to a 7.5% People's Party? | SELECT COUNT("Socialist") FROM table_19476 WHERE "Peoples Party" = '7.5%' | SELECT COUNT("Socialist") FROM "table_19476" WHERE "Peoples Party" = '7.5%' | 0.073242 |
CREATE TABLE Reservations (Code NUMBER, Room CLOB, CheckIn CLOB, CheckOut CLOB, Rate FLOAT, LastName CLOB, FirstName CLOB, Adults NUMBER, Kids NUMBER)
CREATE TABLE Rooms (RoomId CLOB, roomName CLOB, beds NUMBER, bedType CLOB, maxOccupancy NUMBER, basePrice NUMBER, decor CLOB)
| Find the name of rooms booked by some customers whose first name contains ROY, and count them by a bar chart, sort x-axis from high to low order. | SELECT roomName, COUNT(roomName) FROM Reservations AS T1 JOIN Rooms AS T2 ON T1.Room = T2.RoomId WHERE FirstName LIKE '%ROY%' GROUP BY roomName ORDER BY roomName DESC | SELECT "roomName", COUNT("roomName") FROM "Reservations" "T1" JOIN "Rooms" "T2" ON "T1"."Room" = "T2"."RoomId" WHERE "FirstName" LIKE '%ROY%' GROUP BY "roomName" ORDER BY "roomName" DESC | 0.181641 |
CREATE TABLE STUDENT (STU_NUM NUMBER, STU_LNAME VARCHAR2, STU_FNAME VARCHAR2, STU_INIT VARCHAR2, STU_DOB DATETIME, STU_HRS NUMBER, STU_CLASS VARCHAR2, STU_GPA FLOAT, STU_TRANSFER NUMBER, DEPT_CODE VARCHAR2, STU_PHONE VARCHAR2, PROF_NUM NUMBER)
CREATE TABLE ENROLL (CLASS_CODE VARCHAR2, STU_NUM NUMBER, ENROLL_GRADE VARCHAR2)
CREATE TABLE PROFESSOR (EMP_NUM NUMBER, DEPT_CODE VARCHAR2, PROF_OFFICE VARCHAR2, PROF_EXTENSION VARCHAR2, PROF_HIGH_DEGREE VARCHAR2)
CREATE TABLE COURSE (CRS_CODE VARCHAR2, DEPT_CODE VARCHAR2, CRS_DESCRIPTION VARCHAR2, CRS_CREDIT FLOAT)
CREATE TABLE DEPARTMENT (DEPT_CODE VARCHAR2, DEPT_NAME VARCHAR2, SCHOOL_CODE VARCHAR2, EMP_NUM NUMBER, DEPT_ADDRESS VARCHAR2, DEPT_EXTENSION VARCHAR2)
CREATE TABLE CLASS (CLASS_CODE VARCHAR2, CRS_CODE VARCHAR2, CLASS_SECTION VARCHAR2, CLASS_TIME VARCHAR2, CLASS_ROOM VARCHAR2, PROF_NUM NUMBER)
CREATE TABLE EMPLOYEE (EMP_NUM NUMBER, EMP_LNAME VARCHAR2, EMP_FNAME VARCHAR2, EMP_INITIAL VARCHAR2, EMP_JOBCODE VARCHAR2, EMP_HIREDATE DATETIME, EMP_DOB DATETIME)
| Return a bar chart on what is the number of professors for different school?, and show by the names from high to low. | SELECT SCHOOL_CODE, COUNT(*) FROM DEPARTMENT AS T1 JOIN PROFESSOR AS T2 ON T1.DEPT_CODE = T2.DEPT_CODE GROUP BY T1.SCHOOL_CODE ORDER BY SCHOOL_CODE DESC | SELECT "SCHOOL_CODE", COUNT(*) FROM "DEPARTMENT" "T1" JOIN "PROFESSOR" "T2" ON "T1"."DEPT_CODE" = "T2"."DEPT_CODE" GROUP BY "T1"."SCHOOL_CODE" ORDER BY "SCHOOL_CODE" DESC | 0.166016 |
CREATE TABLE table_name_32 (bullet_diameter VARCHAR2, neck_diameter VARCHAR2)
| Which Bullet diameter has a Neck diameter of 12.17 (.479)? | SELECT bullet_diameter FROM table_name_32 WHERE neck_diameter = "12.17 (.479)" | SELECT "bullet_diameter" FROM "table_name_32" WHERE "12.17 (.479)" = "neck_diameter" | 0.082031 |
CREATE TABLE table_79739 ("Player" CLOB, "Country" CLOB, "Year ( s ) won" CLOB, "Total" FLOAT, "To par" CLOB, "Finish" CLOB)
| What is the to par number of the person who won in 2003? | SELECT "To par" FROM table_79739 WHERE "Year(s) won" = '2003' | SELECT "To par" FROM "table_79739" WHERE "Year(s) won" = '2003' | 0.061523 |
CREATE TABLE table_name_35 (outcome VARCHAR2, surface VARCHAR2)
| What is the Outcome of the Doubles played on Carpet? | SELECT outcome FROM table_name_35 WHERE surface = "carpet" | SELECT "outcome" FROM "table_name_35" WHERE "carpet" = "surface" | 0.0625 |
CREATE TABLE Apartment_Buildings (building_id NUMBER, building_short_name CHAR, building_full_name VARCHAR2, building_description VARCHAR2, building_address VARCHAR2, building_manager VARCHAR2, building_phone VARCHAR2)
CREATE TABLE Apartments (apt_id NUMBER, building_id NUMBER, apt_type_code CHAR, apt_number CHAR, bathroom_count NUMBER, bedroom_count NUMBER, room_count CHAR)
CREATE TABLE Apartment_Bookings (apt_booking_id NUMBER, apt_id NUMBER, guest_id NUMBER, booking_status_code CHAR, booking_start_date DATETIME, booking_end_date DATETIME)
CREATE TABLE Apartment_Facilities (apt_id NUMBER, facility_code CHAR)
CREATE TABLE View_Unit_Status (apt_id NUMBER, apt_booking_id NUMBER, status_date DATETIME, available_yn BIT)
CREATE TABLE Guests (guest_id NUMBER, gender_code CHAR, guest_first_name VARCHAR2, guest_last_name VARCHAR2, date_of_birth DATETIME)
| Return a bar chart about the number bookings for each apartment number, and rank from high to low by the x-axis. | SELECT apt_number, COUNT(apt_number) FROM Apartment_Bookings AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id GROUP BY apt_number ORDER BY apt_number DESC | SELECT "apt_number", COUNT("apt_number") FROM "Apartment_Bookings" "T1" JOIN "Apartments" "T2" ON "T1"."apt_id" = "T2"."apt_id" GROUP BY "apt_number" ORDER BY "apt_number" DESC | 0.171875 |
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId 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 FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId 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 Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate 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 ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTaskResultTypes (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 VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId 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 CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
| Duplicate Questions Count for User Reputation Range. | SELECT COUNT(*) FROM (SELECT (d.Id) AS id FROM Posts AS d LEFT JOIN PostHistory AS ph ON ph.PostId = d.Id LEFT JOIN PostLinks AS pl ON pl.PostId = d.Id LEFT JOIN Posts AS o ON o.Id = pl.RelatedPostId LEFT JOIN Users AS u ON u.Id = d.OwnerUserId WHERE d.PostTypeId = 1 AND pl.LinkTypeId = 3 AND ph.PostHistoryTypeId = 10 AND u.Reputation > 999 AND u.Reputation < 10000) AS t1 | SELECT COUNT(*) FROM "Posts" "d" LEFT JOIN "PostHistory" "ph" ON "d"."Id" = "ph"."PostId" LEFT JOIN "PostLinks" "pl" ON "d"."Id" = "pl"."PostId" LEFT JOIN "Users" "u" ON "d"."OwnerUserId" = "u"."Id" LEFT JOIN "Posts" "o" ON "o"."Id" = "pl"."RelatedPostId" WHERE "d"."PostTypeId" = 1 AND "ph"."PostHistoryTypeId" = 10 AND "pl"."LinkTypeId" = 3 AND "u"."Reputation" < 10000 AND "u"."Reputation" > 999 | 0.388672 |
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 medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
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 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 diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
| have acetaminophen (tylenol) tab 650 mg ever been prescribed to patient 030-28944 in their last hospital encounter? | SELECT COUNT(*) > 0 FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '030-28944' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime DESC LIMIT 1)) AND medication.drugname = 'acetaminophen (tylenol) tab 650 mg' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '030-28944' AND NOT "patient"."hospitaldischargetime" IS NULL GROUP BY "patienthealthsystemstayid" ORDER BY "patient"."hospitaladmittime" DESC FETCH FIRST 1 ROWS ONLY), "_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 COUNT(*) > 0 FROM "medication" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "medication"."patientunitstayid" WHERE "medication"."drugname" = 'acetaminophen (tylenol) tab 650 mg' AND NOT "_u_1"."" IS NULL | 0.661133 |
CREATE TABLE table_60462 ("Golden Rivers" CLOB, "Wins" FLOAT, "Byes" FLOAT, "Losses" FLOAT, "Draws" FLOAT, "Against" FLOAT)
| What is the lowest amount of losses when the goldne rivers is quambatook, wins are smaller than 15 and draws larger than 0? | SELECT MIN("Losses") FROM table_60462 WHERE "Wins" < '15' AND "Golden Rivers" = 'quambatook' AND "Draws" > '0' | SELECT MIN("Losses") FROM "table_60462" WHERE "Draws" > '0' AND "Golden Rivers" = 'quambatook' AND "Wins" < '15' | 0.109375 |
CREATE TABLE table_2012187_3 (wins NUMBER, position VARCHAR2)
| How many wins in the 4th position? | SELECT MIN(wins) FROM table_2012187_3 WHERE position = "4th" | SELECT MIN("wins") FROM "table_2012187_3" WHERE "4th" = "position" | 0.064453 |
CREATE TABLE table_name_84 (total NUMBER, nation VARCHAR2, gold VARCHAR2)
| What was Austria's lowest total when the gold was more than 3? | SELECT MIN(total) FROM table_name_84 WHERE nation = "austria" AND gold > 3 | SELECT MIN("total") FROM "table_name_84" WHERE "austria" = "nation" AND "gold" > 3 | 0.080078 |
CREATE TABLE table_39190 ("Round" CLOB, "Date" CLOB, "Opponent" CLOB, "Venue" CLOB, "Result" CLOB, "Attendance" FLOAT)
| When did woking compete? | SELECT "Date" FROM table_39190 WHERE "Opponent" = 'woking' | SELECT "Date" FROM "table_39190" WHERE "Opponent" = 'woking' | 0.058594 |
CREATE TABLE table_69150 ("Rank" FLOAT, "Lane" FLOAT, "Name" CLOB, "Nationality" CLOB, "Time" FLOAT)
| for the rank more than 1 and nationality of netherlands, what is the lane? | SELECT AVG("Lane") FROM table_69150 WHERE "Nationality" = 'netherlands' AND "Rank" > '1' | SELECT AVG("Lane") FROM "table_69150" WHERE "Nationality" = 'netherlands' AND "Rank" > '1' | 0.087891 |
CREATE TABLE table_name_93 (format VARCHAR2, region VARCHAR2)
| Which Format is listed that has a Region of China? | SELECT format FROM table_name_93 WHERE region = "china" | SELECT "format" FROM "table_name_93" WHERE "china" = "region" | 0.05957 |
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
| Give me a histogram for what are all the employee ids and the names of the countries in which they work?, and list total number in asc order. | SELECT COUNTRY_NAME, SUM(EMPLOYEE_ID) FROM employees AS T1 JOIN departments AS T2 ON T1.DEPARTMENT_ID = T2.DEPARTMENT_ID JOIN locations AS T3 ON T2.LOCATION_ID = T3.LOCATION_ID JOIN countries AS T4 ON T3.COUNTRY_ID = T4.COUNTRY_ID GROUP BY COUNTRY_NAME ORDER BY SUM(EMPLOYEE_ID) | SELECT "COUNTRY_NAME", SUM("EMPLOYEE_ID") FROM "employees" "T1" JOIN "departments" "T2" ON "T1"."DEPARTMENT_ID" = "T2"."DEPARTMENT_ID" JOIN "locations" "T3" ON "T2"."LOCATION_ID" = "T3"."LOCATION_ID" JOIN "countries" "T4" ON "T3"."COUNTRY_ID" = "T4"."COUNTRY_ID" GROUP BY "COUNTRY_NAME" ORDER BY SUM("EMPLOYEE_ID") | 0.306641 |
CREATE TABLE table_name_34 (date VARCHAR2, result VARCHAR2)
| What date was the game that resulted in L 30-27? | SELECT date FROM table_name_34 WHERE result = "l 30-27" | SELECT "date" FROM "table_name_34" WHERE "l 30-27" = "result" | 0.05957 |
CREATE TABLE table_name_18 (pick NUMBER, school VARCHAR2)
| What is the highest pick from Washington? | SELECT MAX(pick) FROM table_name_18 WHERE school = "washington" | SELECT MAX("pick") FROM "table_name_18" WHERE "school" = "washington" | 0.067383 |
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 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 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 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 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)
| how many days since the first time patient 030-42006 was diagnosed in this hospital encounter with bone fracture(s) - thoracic spine? | SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', diagnosis.diagnosistime)) FROM diagnosis WHERE diagnosis.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '030-42006' AND patient.hospitaldischargetime IS NULL)) AND diagnosis.diagnosisname = 'bone fracture(s) - thoracic spine' ORDER BY diagnosis.diagnosistime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."hospitaldischargetime" IS NULL AND "patient"."uniquepid" = '030-42006' 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 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "diagnosis"."diagnosistime")) FROM "diagnosis" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "diagnosis"."patientunitstayid" WHERE "diagnosis"."diagnosisname" = 'bone fracture(s) - thoracic spine' AND NOT "_u_1"."" IS NULL ORDER BY "diagnosis"."diagnosistime" FETCH FIRST 1 ROWS ONLY | 0.719727 |
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 diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| what is the number of patients whose diagnoses icd9 code is 42843 and drug route is ivpca? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.icd9_code = "42843" AND prescriptions.route = "IVPCA" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "42843" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "IVPCA" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.28125 |
CREATE TABLE table_name_86 (crowd NUMBER, venue VARCHAR2)
| How many attended the game at Arden Street Oval? | SELECT AVG(crowd) FROM table_name_86 WHERE venue = "arden street oval" | SELECT AVG("crowd") FROM "table_name_86" WHERE "arden street oval" = "venue" | 0.074219 |
CREATE TABLE table_56740 ("Player" CLOB, "Overs" CLOB, "Runs" CLOB, "Wkts" CLOB, "Mdns" CLOB, "Econ" CLOB)
| Tell me the wkts for econ of 4.23 | SELECT "Wkts" FROM table_56740 WHERE "Econ" = '4.23' | SELECT "Wkts" FROM "table_56740" WHERE "Econ" = '4.23' | 0.052734 |
CREATE TABLE Settlements (Settlement_ID NUMBER, Claim_ID NUMBER, Date_Claim_Made DATE, Date_Claim_Settled DATE, Amount_Claimed NUMBER, Amount_Settled NUMBER, Customer_Policy_ID NUMBER)
CREATE TABLE Payments (Payment_ID NUMBER, Settlement_ID NUMBER, Payment_Method_Code VARCHAR2, Date_Payment_Made DATE, Amount_Payment NUMBER)
CREATE TABLE Customers (Customer_ID NUMBER, Customer_Details VARCHAR2)
CREATE TABLE Customer_Policies (Policy_ID NUMBER, Customer_ID NUMBER, Policy_Type_Code CHAR, Start_Date DATE, End_Date DATE)
CREATE TABLE Claims (Claim_ID NUMBER, Policy_ID NUMBER, Date_Claim_Made DATE, Date_Claim_Settled DATE, Amount_Claimed NUMBER, Amount_Settled NUMBER)
| For all the claims whose claimed amount is larger than the average, bin the settlement date into the day of week interval and count them for visualizing a bar chart, and order from low to high by the y axis please. | SELECT Date_Claim_Settled, COUNT(Date_Claim_Settled) FROM Claims WHERE Amount_Claimed > (SELECT AVG(Amount_Claimed) FROM Claims) ORDER BY COUNT(Date_Claim_Settled) | SELECT "Date_Claim_Settled", COUNT("Date_Claim_Settled") FROM "Claims" WHERE "Amount_Claimed" > (SELECT AVG("Amount_Claimed") FROM "Claims") ORDER BY COUNT("Date_Claim_Settled") | 0.172852 |
CREATE TABLE Rooms (RoomId CLOB, roomName CLOB, beds NUMBER, bedType CLOB, maxOccupancy NUMBER, basePrice NUMBER, decor CLOB)
CREATE TABLE Reservations (Code NUMBER, Room CLOB, CheckIn CLOB, CheckOut CLOB, Rate FLOAT, LastName CLOB, FirstName CLOB, Adults NUMBER, Kids NUMBER)
| Show me the average of baseprice by bedtype in a histogram, and sort by the bars from high to low. | SELECT bedType, AVG(basePrice) FROM Rooms GROUP BY bedType ORDER BY bedType DESC | SELECT "bedType", AVG("basePrice") FROM "Rooms" GROUP BY "bedType" ORDER BY "bedType" DESC | 0.087891 |
CREATE TABLE table_11318462_5 (open_2nd_viii VARCHAR2, u15_3rd_iv VARCHAR2)
| how many open 2nd viii had u15 3rd iv being gt | SELECT COUNT(open_2nd_viii) FROM table_11318462_5 WHERE u15_3rd_iv = "GT" | SELECT COUNT("open_2nd_viii") FROM "table_11318462_5" WHERE "GT" = "u15_3rd_iv" | 0.077148 |
CREATE TABLE table_name_30 (score VARCHAR2, date VARCHAR2)
| What was the score of the game from July 18? | SELECT score FROM table_name_30 WHERE date = "july 18" | SELECT "score" FROM "table_name_30" WHERE "date" = "july 18" | 0.058594 |
CREATE TABLE table_13146 ("Player" CLOB, "Country" CLOB, "Year ( s ) won" CLOB, "Total" FLOAT, "To par" CLOB, "Finish" CLOB)
| Which Total has a Finish of t59? | SELECT MIN("Total") FROM table_13146 WHERE "Finish" = 't59' | SELECT MIN("Total") FROM "table_13146" WHERE "Finish" = 't59' | 0.05957 |
CREATE TABLE table_32640 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What home team plays at glenferrie oval? | SELECT "Home team" FROM table_32640 WHERE "Venue" = 'glenferrie oval' | SELECT "Home team" FROM "table_32640" WHERE "Venue" = 'glenferrie oval' | 0.069336 |
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
| round trip fares from DENVER to PHILADELPHIA under 1000 dollars | SELECT DISTINCT fare.fare_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, flight, flight_fare WHERE (CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DENVER' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'PHILADELPHIA' AND fare.round_trip_cost < 1000 AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND NOT fare.round_trip_cost IS NULL | SELECT DISTINCT "fare"."fare_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'DENVER' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'PHILADELPHIA' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" AND "fare"."round_trip_cost" < 1000 AND NOT "fare"."round_trip_cost" IS NULL | 0.683594 |
CREATE TABLE table_1342292_45 (party VARCHAR2, first_elected VARCHAR2)
| How many incumbents were first elected in 1930? | SELECT COUNT(party) FROM table_1342292_45 WHERE first_elected = 1930 | SELECT COUNT("party") FROM "table_1342292_45" WHERE "first_elected" = 1930 | 0.072266 |
CREATE TABLE table_71305 ("Member countries" CLOB, "Population" CLOB, "Area ( km\\u00b2 ) " CLOB, "GDP ( billion US$ ) " CLOB, "GDP per capita ( US$ ) " CLOB)
| What is the GDP (billion US$) of the country that has a GDP per capita (US$) of 8,861? | SELECT "GDP (billion US$)" FROM table_71305 WHERE "GDP per capita (US$)" = '8,861' | SELECT "GDP (billion US$)" FROM "table_71305" WHERE "GDP per capita (US$)" = '8,861' | 0.082031 |
CREATE TABLE table_76112 ("Model number" CLOB, "Frequency" CLOB, "L2 cache" CLOB, "FPU width" CLOB, "Multi 1" CLOB, "Socket" CLOB, "Release date" CLOB, "Order part number" CLOB)
| What is the L2 cache with a release date on September 10, 2009, a 128-bit FPU width, and a 12x multi 1? | SELECT "L2 cache" FROM table_76112 WHERE "Release date" = 'september 10, 2009' AND "FPU width" = '128-bit' AND "Multi 1" = '12x' | SELECT "L2 cache" FROM "table_76112" WHERE "FPU width" = '128-bit' AND "Multi 1" = '12x' AND "Release date" = 'september 10, 2009' | 0.126953 |
CREATE TABLE table_name_97 (player VARCHAR2, rank VARCHAR2)
| What player has the rank 2011? | SELECT player FROM table_name_97 WHERE rank = 2011 | SELECT "player" FROM "table_name_97" WHERE "rank" = 2011 | 0.054688 |
CREATE TABLE table_name_63 (plant_patent_number VARCHAR2, habit VARCHAR2, mutated_from VARCHAR2)
| What's the patent number when it was mutated from Yakata 7001 and a standard habit? | SELECT plant_patent_number FROM table_name_63 WHERE habit = "standard" AND mutated_from = "yakata 7001" | SELECT "plant_patent_number" FROM "table_name_63" WHERE "habit" = "standard" AND "mutated_from" = "yakata 7001" | 0.108398 |
CREATE TABLE table_42514 ("Year" CLOB, "Title" CLOB, "Genre" CLOB, "Label" CLOB, "Result" CLOB)
| Which label's year was 1990? | SELECT "Label" FROM table_42514 WHERE "Year" = '1990' | SELECT "Label" FROM "table_42514" WHERE "Year" = '1990' | 0.053711 |
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 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 allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime 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 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 is the drug that patient 035-24054 was prescribed for in the same day after being diagnosed with hypovolemic shock - hemorrhagic since 157 months ago? | SELECT t2.drugname FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '035-24054') AND diagnosis.diagnosisname = 'hypovolemic shock - hemorrhagic' AND DATETIME(diagnosis.diagnosistime) >= DATETIME(CURRENT_TIME(), '-157 month')) AS t1 JOIN (SELECT patient.uniquepid, medication.drugname, medication.drugstarttime FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '035-24054') AND DATETIME(medication.drugstarttime) >= DATETIME(CURRENT_TIME(), '-157 month')) AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.diagnosistime < t2.drugstarttime AND DATETIME(t1.diagnosistime, 'start of day') = DATETIME(t2.drugstarttime, 'start of day') | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '035-24054' GROUP BY "patienthealthsystemstayid"), "t2" AS (SELECT "patient"."uniquepid", "medication"."drugname", "medication"."drugstarttime" FROM "medication" JOIN "patient" ON "medication"."patientunitstayid" = "patient"."patientunitstayid" LEFT JOIN "_u_0" "_u_1" ON "_u_1"."" = "patient"."patienthealthsystemstayid" WHERE DATETIME("medication"."drugstarttime") >= DATETIME(CURRENT_TIME(), '-157 month') AND NOT "_u_1"."" IS NULL) SELECT "t2"."drugname" FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" JOIN "t2" "t2" ON "diagnosis"."diagnosistime" < "t2"."drugstarttime" AND "patient"."uniquepid" = "t2"."uniquepid" AND DATETIME("diagnosis"."diagnosistime", 'start of day') = DATETIME("t2"."drugstarttime", 'start of day') WHERE "diagnosis"."diagnosisname" = 'hypovolemic shock - hemorrhagic' AND DATETIME("diagnosis"."diagnosistime") >= DATETIME(CURRENT_TIME(), '-157 month') AND NOT "_u_0"."" IS NULL | 1.114258 |
CREATE TABLE table_61360 ("Outcome" CLOB, "Date" FLOAT, "Championship" CLOB, "Surface" CLOB, "Opponent in the final" CLOB, "Score in the final" CLOB)
| What Championship has an Opponent in the final of aaron krickstein, and a Score in the final of 7 5, 6 2? | SELECT "Championship" FROM table_61360 WHERE "Opponent in the final" = 'aaron krickstein' AND "Score in the final" = '7–5, 6–2' | SELECT "Championship" FROM "table_61360" WHERE "Opponent in the final" = 'aaron krickstein' AND "Score in the final" = '7–5, 6–2' | 0.125977 |
CREATE TABLE table_2140071_7 (episode VARCHAR2)
| What the summary of episode 15? | SELECT episode AS Summary FROM table_2140071_7 WHERE episode = 15 | SELECT "episode" AS "Summary" FROM "table_2140071_7" WHERE "episode" = 15 | 0.071289 |
CREATE TABLE table_31744 ("Nomination" CLOB, "Actor's Name" CLOB, "Film Name" CLOB, "Director" CLOB, "Country" CLOB)
| Tell me the actor from russia for anastasiya slutskaya | SELECT "Actor's Name" FROM table_31744 WHERE "Film Name" = 'anastasiya slutskaya' AND "Country" = 'russia' | SELECT "Actor's Name" FROM "table_31744" WHERE "Country" = 'russia' AND "Film Name" = 'anastasiya slutskaya' | 0.105469 |
CREATE TABLE table_11723 ("Year" FLOAT, "Competition" CLOB, "Venue" CLOB, "Position" CLOB, "Event" CLOB)
| Before 1979, what position was the European Indoor Championships? | SELECT "Position" FROM table_11723 WHERE "Competition" = 'european indoor championships' AND "Year" < '1979' | SELECT "Position" FROM "table_11723" WHERE "Competition" = 'european indoor championships' AND "Year" < '1979' | 0.107422 |
CREATE TABLE table_76305 ("Year" FLOAT, "Title" CLOB, "Billboard Hot 100" CLOB, "Album" CLOB, "Label" CLOB)
| What is the total years for roots and branches? | SELECT SUM("Year") FROM table_76305 WHERE "Album" = 'roots and branches' | SELECT SUM("Year") FROM "table_76305" WHERE "Album" = 'roots and branches' | 0.072266 |
CREATE TABLE table_name_2 (round VARCHAR2, pick VARCHAR2)
| Which Round is pick 112 in? | SELECT round FROM table_name_2 WHERE pick = 112 | SELECT "round" FROM "table_name_2" WHERE "pick" = 112 | 0.051758 |
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
| what is the seating capacity of the type of aircraft M80 | SELECT DISTINCT aircraft_code FROM aircraft WHERE aircraft_code = 'M80' | SELECT DISTINCT "aircraft_code" FROM "aircraft" WHERE "aircraft_code" = 'M80' | 0.075195 |
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_icd_diagnoses (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 icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE 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 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 inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
| tell me the percentile of rdw worth 13.4 for patients of the same age as patient 84346 during the last hospital visit? | SELECT DISTINCT t1.c1 FROM (SELECT labevents.valuenum, PERCENT_RANK() OVER (ORDER BY labevents.valuenum) AS c1 FROM labevents WHERE labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'rdw') AND labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.age = (SELECT admissions.age FROM admissions WHERE admissions.subject_id = 84346 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime DESC LIMIT 1))) AS t1 WHERE t1.valuenum = 13.4 | WITH "_u_0" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'rdw' GROUP BY "itemid"), "_u_1" AS (SELECT "admissions"."age" FROM "admissions" WHERE "admissions"."subject_id" = 84346 AND NOT "admissions"."dischtime" IS NULL ORDER BY "admissions"."admittime" DESC FETCH FIRST 1 ROWS ONLY), "_u_2" AS (SELECT "admissions"."hadm_id" FROM "admissions" JOIN "_u_1" "_u_1" ON "_u_1"."age" = "admissions"."age" GROUP BY "hadm_id") SELECT DISTINCT PERCENT_RANK() OVER (ORDER BY "labevents"."valuenum") FROM "labevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "labevents"."itemid" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "labevents"."hadm_id" WHERE "labevents"."valuenum" = 13.4 AND NOT "_u_0"."" IS NULL AND NOT "_u_2"."" IS NULL | 0.731445 |
CREATE TABLE table_203_442 (id NUMBER, "#" NUMBER, "date" CLOB, "venue" CLOB, "opponent" CLOB, "score" CLOB, "result" CLOB, "competition" CLOB)
| what are the number of times romania is listed as an opponent ? | SELECT COUNT(*) FROM table_203_442 WHERE "opponent" = 'romania' | SELECT COUNT(*) FROM "table_203_442" WHERE "opponent" = 'romania' | 0.063477 |
CREATE TABLE table_name_25 (season VARCHAR2, league VARCHAR2, european_competitions VARCHAR2)
| What is the Season when league shows bundesliga, and a European competition of played korac cup? | SELECT season FROM table_name_25 WHERE league = "bundesliga" AND european_competitions = "played korac cup" | SELECT "season" FROM "table_name_25" WHERE "bundesliga" = "league" AND "european_competitions" = "played korac cup" | 0.112305 |
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_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 offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname 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 comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college 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)
| Are we going to have a lab for Computational Fluid Dynamics of Nuclear Applications this year ? | SELECT COUNT(*) > 0 FROM course, course_offering, semester WHERE (course.description LIKE '%lab%' OR course.name LIKE '%lab%') AND (course.description LIKE '%Computational Fluid Dynamics of Nuclear Applications%' OR course.name LIKE '%Computational Fluid Dynamics of Nuclear Applications%') AND course.course_id = course_offering.course_id AND semester.semester_id = course_offering.semester AND semester.year = 2016 | SELECT COUNT(*) > 0 FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."year" = 2016 WHERE ("course"."description" LIKE '%Computational Fluid Dynamics of Nuclear Applications%' OR "course"."name" LIKE '%Computational Fluid Dynamics of Nuclear Applications%') AND ("course"."description" LIKE '%lab%' OR "course"."name" LIKE '%lab%') | 0.453125 |
CREATE TABLE course (title VARCHAR2, course_id VARCHAR2)
CREATE TABLE prereq (prereq_id VARCHAR2, course_id VARCHAR2)
| What is the course title of the prerequisite of course Mobile Computing? | SELECT title FROM course WHERE course_id IN (SELECT T1.prereq_id FROM prereq AS T1 JOIN course AS T2 ON T1.course_id = T2.course_id WHERE T2.title = 'Mobile Computing') | WITH "_u_0" AS (SELECT "T1"."prereq_id" FROM "prereq" "T1" JOIN "course" "T2" ON "T1"."course_id" = "T2"."course_id" AND "T2"."title" = 'Mobile Computing' GROUP BY "prereq_id") SELECT "title" FROM "course" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "course_id" WHERE NOT "_u_0"."" IS NULL | 0.277344 |
CREATE TABLE table_203_182 (id NUMBER, "no. in\ series" NUMBER, "no. in\ season" NUMBER, "title" CLOB, "directed by" CLOB, "written by" CLOB, "original air date" CLOB, "production\ code" NUMBER)
| which episodes were not directed by shelley jensen ? | SELECT "title" FROM table_203_182 WHERE "directed by" <> 'shelley jensen' | SELECT "title" FROM "table_203_182" WHERE "directed by" <> 'shelley jensen' | 0.073242 |
CREATE TABLE table_3216 ("Season" CLOB, "Winner" CLOB, "Runner-up" CLOB, "Final Score" CLOB, "3rd place" CLOB)
| Who are the runner-ups where the winner is VK Selver Tallinn and 3rd place is Lase-R/Riga? | SELECT "Runner-up" FROM table_3216 WHERE "Winner" = 'VK Selver Tallinn' AND "3rd place" = 'Lase-R/Riga' | SELECT "Runner-up" FROM "table_3216" WHERE "3rd place" = 'Lase-R/Riga' AND "Winner" = 'VK Selver Tallinn' | 0.102539 |
CREATE TABLE loan (loan_id CLOB, loan_type CLOB, cust_id CLOB, branch_id CLOB, amount NUMBER)
CREATE TABLE bank (branch_id NUMBER, bname CLOB, no_of_customers NUMBER, city CLOB, state CLOB)
CREATE TABLE customer (cust_id CLOB, cust_name CLOB, acc_type CLOB, acc_bal NUMBER, no_of_loans NUMBER, credit_score NUMBER, branch_id NUMBER, state CLOB)
| What is the total amount of money loaned by banks in New York state? | SELECT SUM(T2.amount) FROM bank AS T1 JOIN loan AS T2 ON T1.branch_id = T2.branch_id WHERE T1.state = 'New York' | SELECT SUM("T2"."amount") FROM "bank" "T1" JOIN "loan" "T2" ON "T1"."branch_id" = "T2"."branch_id" WHERE "T1"."state" = 'New York' | 0.126953 |
CREATE TABLE table_33566 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What was the score of the away team when the home team was south melbourne? | SELECT "Away team score" FROM table_33566 WHERE "Home team" = 'south melbourne' | SELECT "Away team score" FROM "table_33566" WHERE "Home team" = 'south melbourne' | 0.079102 |
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId 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 ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE VoteTypes (Id NUMBER, Name 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 CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewTaskResultTypes (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 PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE 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 PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
| Favorites of a user, network-wide. | SELECT * FROM Votes WHERE VoteTypeId = 5 LIMIT 100 | SELECT * FROM "Votes" WHERE "VoteTypeId" = 5 FETCH FIRST 100 ROWS ONLY | 0.068359 |
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