schema
stringlengths 29
5.42k
| question
stringlengths 0
752
| rejected
stringlengths 2
4.44k
| chosen
stringlengths 4
8.94k
| weight
float64 0
8.73
|
---|---|---|---|---|
CREATE TABLE table_name_66 (future_stem VARCHAR2, imperfect_stem VARCHAR2)
| What is the future stem for the word that has an imperfect stem of hartzen? | SELECT future_stem FROM table_name_66 WHERE imperfect_stem = "hartzen" | SELECT "future_stem" FROM "table_name_66" WHERE "hartzen" = "imperfect_stem" | 0.074219 |
CREATE TABLE table_name_2 (series VARCHAR2, game NUMBER)
| What was the series standing for games over 4? | SELECT series FROM table_name_2 WHERE game > 4 | SELECT "series" FROM "table_name_2" WHERE "game" > 4 | 0.050781 |
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 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 microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
| how many patient have died after they were diagnosed with hematological effect of infection - leukocytosis during the same hospital encounter until 2 years ago? | SELECT COUNT(DISTINCT t2.uniquepid) FROM (SELECT t1.uniquepid, t1.diagnosistime, t1.patienthealthsystemstayid FROM (SELECT patient.uniquepid, diagnosis.diagnosistime, patient.patienthealthsystemstayid FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'hematological effect of infection - leukocytosis') AS t1 GROUP BY t1.uniquepid HAVING MIN(t1.diagnosistime) = t1.diagnosistime AND DATETIME(t1.diagnosistime) <= DATETIME(CURRENT_TIME(), '-2 year')) AS t2 JOIN (SELECT patient.uniquepid, patient.patienthealthsystemstayid, patient.hospitaldischargetime FROM patient WHERE patient.hospitaldischargestatus = 'expired') AS t3 ON t2.uniquepid = t3.uniquepid WHERE t2.patienthealthsystemstayid = t3.patienthealthsystemstayid | WITH "t2" AS (SELECT "patient"."uniquepid", "patient"."patienthealthsystemstayid" FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" WHERE "diagnosis"."diagnosisname" = 'hematological effect of infection - leukocytosis' GROUP BY "patient"."uniquepid" HAVING "diagnosis"."diagnosistime" = MIN("diagnosis"."diagnosistime") AND DATETIME("diagnosis"."diagnosistime") <= DATETIME(CURRENT_TIME(), '-2 year')) SELECT COUNT(DISTINCT "t2"."uniquepid") FROM "t2" "t2" JOIN "patient" ON "patient"."hospitaldischargestatus" = 'expired' AND "patient"."patienthealthsystemstayid" = "t2"."patienthealthsystemstayid" AND "patient"."uniquepid" = "t2"."uniquepid" | 0.676758 |
CREATE TABLE county (County_Id NUMBER, County_name CLOB, Population FLOAT, Zip_code CLOB)
CREATE TABLE party (Party_ID NUMBER, Year FLOAT, Party CLOB, Governor CLOB, Lieutenant_Governor CLOB, Comptroller CLOB, Attorney_General CLOB, US_Senate CLOB)
CREATE TABLE election (Election_ID NUMBER, Counties_Represented CLOB, District NUMBER, Delegate CLOB, Party NUMBER, First_Elected FLOAT, Committee CLOB)
| For each party, return the name of the party and the number of delegates from that party. Plot them as bar chart. | SELECT T2.Party, SUM(COUNT(*)) FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID GROUP BY T2.Party | SELECT "T2"."Party", SUM(COUNT(*)) FROM "election" "T1" JOIN "party" "T2" ON "T1"."Party" = "T2"."Party_ID" GROUP BY "T2"."Party" | 0.125977 |
CREATE TABLE table_17120964_5 (man_of_the_match VARCHAR2, date VARCHAR2)
| Name the man of the match for 24th | SELECT man_of_the_match FROM table_17120964_5 WHERE date = "24th" | SELECT "man_of_the_match" FROM "table_17120964_5" WHERE "24th" = "date" | 0.069336 |
CREATE TABLE table_13274 ("School" CLOB, "Location" CLOB, "Mascot" CLOB, "IHSAA Class" CLOB, "County" CLOB, "Year Joined" CLOB, "Year Left" CLOB, "Conference Joined" CLOB)
| What conference includes the Indians? | SELECT "Conference Joined" FROM table_13274 WHERE "Mascot" = 'indians' | SELECT "Conference Joined" FROM "table_13274" WHERE "Mascot" = 'indians' | 0.070313 |
CREATE TABLE table_36515 ("Result" CLOB, "Opponent" CLOB, "Method" CLOB, "Event" CLOB, "Date" CLOB, "Round" CLOB, "Time" CLOB, "Location" CLOB, "Rules" CLOB)
| Which rule has The Event of n/a, The Result of loss, and The Location of winsford england? | SELECT "Rules" FROM table_36515 WHERE "Event" = 'n/a' AND "Result" = 'loss' AND "Location" = 'winsford england' | SELECT "Rules" FROM "table_36515" WHERE "Event" = 'n/a' AND "Location" = 'winsford england' AND "Result" = 'loss' | 0.110352 |
CREATE TABLE table_15026994_3 (episode VARCHAR2, viewing_figure VARCHAR2)
| Which episode has been viewed 6.34 million times? | SELECT episode FROM table_15026994_3 WHERE viewing_figure = "6.34 million" | SELECT "episode" FROM "table_15026994_3" WHERE "6.34 million" = "viewing_figure" | 0.078125 |
CREATE TABLE table_name_46 (wednesday VARCHAR2, monday VARCHAR2)
| Which Wednesday has a Monday of getsuy bi? | SELECT wednesday FROM table_name_46 WHERE monday = "月曜日 getsuyōbi" | SELECT "wednesday" FROM "table_name_46" WHERE "monday" = "月曜日 getsuyōbi" | 0.070313 |
CREATE TABLE table_name_38 (overall NUMBER, name VARCHAR2, pick__number VARCHAR2)
| What is the average overall of John Ayres, who had a pick # greater than 4? | SELECT AVG(overall) FROM table_name_38 WHERE name = "john ayres" AND pick__number > 4 | SELECT AVG("overall") FROM "table_name_38" WHERE "john ayres" = "name" AND "pick__number" > 4 | 0.09082 |
CREATE TABLE table_name_30 (time NUMBER, rank VARCHAR2, name VARCHAR2)
| what is the highest time when the rank is less than 5 and the name is eamon sullivan? | SELECT MAX(time) FROM table_name_30 WHERE rank < 5 AND name = "eamon sullivan" | SELECT MAX("time") FROM "table_name_30" WHERE "eamon sullivan" = "name" AND "rank" < 5 | 0.083984 |
CREATE TABLE table_name_31 (rank VARCHAR2, notes VARCHAR2, country VARCHAR2)
| What is the rank of the new zealand team that had fb listed under notes? | SELECT rank FROM table_name_31 WHERE notes = "fb" AND country = "new zealand" | SELECT "rank" FROM "table_name_31" WHERE "country" = "new zealand" AND "fb" = "notes" | 0.083008 |
CREATE TABLE invoices (invoice_number NUMBER, order_id NUMBER, invoice_date TIME)
CREATE TABLE product_categories (production_type_code CLOB, product_type_description CLOB, vat_rating NUMBER)
CREATE TABLE invoice_line_items (order_item_id NUMBER, invoice_number NUMBER, product_id NUMBER, product_title CLOB, product_quantity CLOB, product_price NUMBER, derived_product_cost NUMBER, derived_vat_payable NUMBER, derived_total_cost NUMBER)
CREATE TABLE customers (customer_id NUMBER, customer_first_name CLOB, customer_middle_initial CLOB, customer_last_name CLOB, gender CLOB, email_address CLOB, login_name CLOB, login_password CLOB, phone_number CLOB, town_city CLOB, state_county_province CLOB, country CLOB)
CREATE TABLE orders (order_id NUMBER, customer_id NUMBER, date_order_placed TIME, order_details CLOB)
CREATE TABLE products (product_id NUMBER, parent_product_id NUMBER, production_type_code CLOB, unit_price NUMBER, product_name CLOB, product_color CLOB, product_size CLOB)
CREATE TABLE accounts (account_id NUMBER, customer_id NUMBER, date_account_opened TIME, account_name CLOB, other_account_details CLOB)
CREATE TABLE financial_transactions (transaction_id NUMBER, account_id NUMBER, invoice_number NUMBER, transaction_type CLOB, transaction_date TIME, transaction_amount NUMBER, transaction_comment CLOB, other_transaction_details CLOB)
CREATE TABLE order_items (order_item_id NUMBER, order_id NUMBER, product_id NUMBER, product_quantity CLOB, other_order_item_details CLOB)
| Show order ids and the number of products in each order. | SELECT order_id, COUNT(DISTINCT product_id) FROM order_items GROUP BY order_id | SELECT "order_id", COUNT(DISTINCT "product_id") FROM "order_items" GROUP BY "order_id" | 0.083984 |
CREATE TABLE table_name_88 (years VARCHAR2, rank NUMBER)
| Which years have a rank less than 2? | SELECT years FROM table_name_88 WHERE rank < 2 | SELECT "years" FROM "table_name_88" WHERE "rank" < 2 | 0.050781 |
CREATE TABLE table_203_247 (id NUMBER, "district" CLOB, "counties represented" CLOB, "delegate" CLOB, "party" CLOB, "first elected" NUMBER, "committee" CLOB)
| how many delegates represented allegany ? | SELECT COUNT("delegate") FROM table_203_247 WHERE "counties represented" = 'allegany' | SELECT COUNT("delegate") FROM "table_203_247" WHERE "counties represented" = 'allegany' | 0.084961 |
CREATE TABLE table_name_2 (week VARCHAR2, date VARCHAR2)
| What week was October 29, 2000? | SELECT COUNT(week) FROM table_name_2 WHERE date = "october 29, 2000" | SELECT COUNT("week") FROM "table_name_2" WHERE "date" = "october 29, 2000" | 0.072266 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| how many patients whose diagnoses short title is thrombocytopenia nos and lab test abnormal status is abnormal? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.short_title = "Thrombocytopenia NOS" AND lab.flag = "abnormal" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Thrombocytopenia NOS" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "abnormal" = "lab"."flag" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.270508 |
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE 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 locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
| 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, return a line chart about the change of salary over hire_date , and list by the X-axis in descending. | SELECT HIRE_DATE, SALARY FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 ORDER BY HIRE_DATE DESC | SELECT "HIRE_DATE", "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) ORDER BY "HIRE_DATE" DESC | 0.222656 |
CREATE TABLE table_name_60 (drawn VARCHAR2, lost VARCHAR2)
| Can you name the drawn with a Lost of 1? | SELECT drawn FROM table_name_60 WHERE lost = "1" | SELECT "drawn" FROM "table_name_60" WHERE "1" = "lost" | 0.052734 |
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE 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 procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
| what is the last value of urea nitrogen laboratory test of patient 75762 on their first hospital encounter? | SELECT labevents.valuenum FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 75762 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime LIMIT 1) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'urea nitrogen') ORDER BY labevents.charttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 75762 AND NOT "admissions"."dischtime" IS NULL GROUP BY "hadm_id" ORDER BY "admissions"."admittime" FETCH FIRST 1 ROWS ONLY), "_u_1" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'urea nitrogen' GROUP BY "itemid") SELECT "labevents"."valuenum" FROM "labevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "labevents"."hadm_id" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "labevents"."itemid" WHERE NOT "_u_0"."" IS NULL AND NOT "_u_1"."" IS NULL ORDER BY "labevents"."charttime" DESC FETCH FIRST 1 ROWS ONLY | 0.614258 |
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 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 microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
| what's the number of patients who were hospitalized since 1 year ago? | SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE DATETIME(patient.hospitaladmittime) >= DATETIME(CURRENT_TIME(), '-1 year') | SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "patient" WHERE DATETIME("patient"."hospitaladmittime") >= DATETIME(CURRENT_TIME(), '-1 year') | 0.140625 |
CREATE TABLE stock (Shop_ID NUMBER, Device_ID NUMBER, Quantity NUMBER)
CREATE TABLE device (Device_ID NUMBER, Device CLOB, Carrier CLOB, Package_Version CLOB, Applications CLOB, Software_Platform CLOB)
CREATE TABLE shop (Shop_ID NUMBER, Shop_Name CLOB, Location CLOB, Open_Date CLOB, Open_Year NUMBER)
| Show how many carrriers for each shops in a bar chart. | SELECT Shop_Name, COUNT(Shop_Name) FROM stock AS T1 JOIN device AS T2 ON T1.Device_ID = T2.Device_ID JOIN shop AS T3 ON T1.Shop_ID = T3.Shop_ID GROUP BY Shop_Name | SELECT "Shop_Name", COUNT("Shop_Name") FROM "stock" "T1" JOIN "device" "T2" ON "T1"."Device_ID" = "T2"."Device_ID" JOIN "shop" "T3" ON "T1"."Shop_ID" = "T3"."Shop_ID" GROUP BY "Shop_Name" | 0.182617 |
CREATE TABLE table_name_43 (nfl_club VARCHAR2, player VARCHAR2, pick VARCHAR2)
| Which NFL Club has a Player of sam tidmore, and a Pick of 81? | SELECT nfl_club FROM table_name_43 WHERE player = "sam tidmore" AND pick = 81 | SELECT "nfl_club" FROM "table_name_43" WHERE "pick" = 81 AND "player" = "sam tidmore" | 0.083008 |
CREATE TABLE table_204_106 (id NUMBER, "year" NUMBER, "title" CLOB, "image" CLOB, "dimensions" CLOB, "collection" CLOB, "comments" CLOB)
| what was the title of terence cuneo 's first work ? | SELECT "title" FROM table_204_106 ORDER BY "year" LIMIT 1 | SELECT "title" FROM "table_204_106" ORDER BY "year" FETCH FIRST 1 ROWS ONLY | 0.073242 |
CREATE TABLE table_11467 ("Year" FLOAT, "Artist" CLOB, "Single" CLOB, "Other featured guests" CLOB, "Format" CLOB)
| What artist had a single called Alien Rock b/w Combat, The Remix on 12 inch Vinyl format? | SELECT "Artist" FROM table_11467 WHERE "Format" = '12 inch vinyl' AND "Single" = 'alien rock b/w combat, the remix' | SELECT "Artist" FROM "table_11467" WHERE "Format" = '12 inch vinyl' AND "Single" = 'alien rock b/w combat, the remix' | 0.114258 |
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)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
| For those employees who do not work in departments with managers that have ids between 100 and 200, draw a bar chart about the distribution of last_name and department_id . | SELECT LAST_NAME, DEPARTMENT_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) | SELECT "LAST_NAME", "DEPARTMENT_ID" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) | 0.170898 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| How many patients admitted before the year 2135 had urinary incontinence (unspecified)? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admityear < "2135" AND diagnoses.long_title = "Urinary incontinence, unspecified" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Urinary incontinence, unspecified" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "2135" > "demographic"."admityear" | 0.238281 |
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE 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_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
| when was the first time in which patient 19412 had the maximum arterial bp [diastolic] today? | SELECT chartevents.charttime FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 19412)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp [diastolic]' AND d_items.linksto = 'chartevents') AND DATETIME(chartevents.charttime, 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-0 day') ORDER BY chartevents.valuenum DESC, chartevents.charttime LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 19412 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'arterial bp [diastolic]' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT "chartevents"."charttime" FROM "chartevents" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE DATETIME("chartevents"."charttime", 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-0 day') AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL ORDER BY "chartevents"."valuenum" DESC, "chartevents"."charttime" FETCH FIRST 1 ROWS ONLY | 0.869141 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
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)
| count the number of patients whose primary disease is rash and year of death is less than or equal to 2155? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "RASH" AND demographic.dod_year <= "2155.0" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2155.0" >= "demographic"."dod_year" AND "RASH" = "demographic"."diagnosis" | 0.146484 |
CREATE TABLE table_203_22 (id NUMBER, "draw" NUMBER, "artist" CLOB, "song" CLOB, "points" NUMBER, "place" CLOB)
| who was the last draw ? | SELECT "artist" FROM table_203_22 ORDER BY "draw" DESC LIMIT 1 | SELECT "artist" FROM "table_203_22" ORDER BY "draw" DESC FETCH FIRST 1 ROWS ONLY | 0.078125 |
CREATE TABLE table_1847523_2 (owned_since VARCHAR2, station VARCHAR2)
| How many stations have been owned since wfts-tv? | SELECT owned_since FROM table_1847523_2 WHERE station = "WFTS-TV" | SELECT "owned_since" FROM "table_1847523_2" WHERE "WFTS-TV" = "station" | 0.069336 |
CREATE TABLE Grants (grant_id NUMBER, organisation_id NUMBER, grant_amount NUMBER, grant_start_date DATETIME, grant_end_date DATETIME, other_details VARCHAR2)
CREATE TABLE Organisation_Types (organisation_type VARCHAR2, organisation_type_description VARCHAR2)
CREATE TABLE Staff_Roles (role_code VARCHAR2, role_description VARCHAR2)
CREATE TABLE Tasks (task_id NUMBER, project_id NUMBER, task_details VARCHAR2, "eg Agree Objectives" VARCHAR2)
CREATE TABLE Documents (document_id NUMBER, document_type_code VARCHAR2, grant_id NUMBER, sent_date DATETIME, response_received_date DATETIME, other_details VARCHAR2)
CREATE TABLE Projects (project_id NUMBER, organisation_id NUMBER, project_details VARCHAR2)
CREATE TABLE Research_Outcomes (outcome_code VARCHAR2, outcome_description VARCHAR2)
CREATE TABLE Organisations (organisation_id NUMBER, organisation_type VARCHAR2, organisation_details VARCHAR2)
CREATE TABLE Document_Types (document_type_code VARCHAR2, document_description VARCHAR2)
CREATE TABLE Research_Staff (staff_id NUMBER, employer_organisation_id NUMBER, staff_details VARCHAR2)
CREATE TABLE Project_Staff (staff_id DOUBLE PRECISION, project_id NUMBER, role_code VARCHAR2, date_from DATETIME, date_to DATETIME, other_details VARCHAR2)
CREATE TABLE Project_Outcomes (project_id NUMBER, outcome_code VARCHAR2, outcome_details VARCHAR2)
| Find the organisation ids and details of the organisations which are involved i. Plot them as bar chart. | SELECT T2.organisation_details, T1.organisation_id FROM Grants AS T1 JOIN Organisations AS T2 ON T1.organisation_id = T2.organisation_id GROUP BY T2.organisation_details | SELECT "T2"."organisation_details", "T1"."organisation_id" FROM "Grants" "T1" JOIN "Organisations" "T2" ON "T1"."organisation_id" = "T2"."organisation_id" GROUP BY "T2"."organisation_details" | 0.186523 |
CREATE TABLE table_43286 ("Ship" CLOB, "Hull No." CLOB, "Commissioned" CLOB, "Builder" CLOB, "Home Port" CLOB, "NVR Page" CLOB)
| What is the Commissioned date of the ship in NVR Page MCM02? | SELECT "Commissioned" FROM table_43286 WHERE "NVR Page" = 'mcm02' | SELECT "Commissioned" FROM "table_43286" WHERE "NVR Page" = 'mcm02' | 0.06543 |
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
| For those employees who do not work in departments with managers that have ids between 100 and 200, show me about the distribution of phone_number and employee_id in a bar chart, could you rank in descending by the Y-axis please? | SELECT PHONE_NUMBER, EMPLOYEE_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY EMPLOYEE_ID DESC | SELECT "PHONE_NUMBER", "EMPLOYEE_ID" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY "EMPLOYEE_ID" DESC | 0.199219 |
CREATE TABLE store_district (store_id NUMBER, district_id NUMBER)
CREATE TABLE product (product_id NUMBER, product CLOB, dimensions CLOB, dpi NUMBER, pages_per_minute_color NUMBER, max_page_size CLOB, interface CLOB)
CREATE TABLE store (store_id NUMBER, store_name CLOB, type CLOB, area_size NUMBER, number_of_product_category NUMBER, ranking NUMBER)
CREATE TABLE store_product (store_id NUMBER, product_id NUMBER)
CREATE TABLE district (district_id NUMBER, district_name CLOB, headquartered_city CLOB, city_population NUMBER, city_area NUMBER)
| What are the names of the districts that have both mall and village store style shops? | SELECT t3.district_name FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id WHERE t1.type = "City Mall" INTERSECT SELECT t3.district_name FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id WHERE t1.type = "Village Store" | SELECT "t3"."district_name" FROM "store" "t1" JOIN "store_district" "t2" ON "t1"."store_id" = "t2"."store_id" JOIN "district" "t3" ON "t2"."district_id" = "t3"."district_id" WHERE "City Mall" = "t1"."type" INTERSECT SELECT "t3"."district_name" FROM "store" "t1" JOIN "store_district" "t2" ON "t1"."store_id" = "t2"."store_id" JOIN "district" "t3" ON "t2"."district_id" = "t3"."district_id" WHERE "Village Store" = "t1"."type" | 0.415039 |
CREATE TABLE table_204_298 (id NUMBER, "year" NUMBER, "competition" CLOB, "venue" CLOB, "position" CLOB, "event" CLOB, "notes" NUMBER)
| how many first place victories did the runner have ? | SELECT COUNT(*) FROM table_204_298 WHERE "position" = 1 | SELECT COUNT(*) FROM "table_204_298" WHERE "position" = 1 | 0.055664 |
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE 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 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 vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
| calculate the total amount of patient 007-10615's continuous infusion meds intake on the first intensive care unit visit. | SELECT SUM(intakeoutput.cellvaluenumeric) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '007-10615') AND NOT patient.unitdischargetime IS NULL ORDER BY patient.unitadmittime LIMIT 1) AND intakeoutput.celllabel = 'continuous infusion meds' AND intakeoutput.cellpath LIKE '%intake%' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '007-10615' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL AND NOT "patient"."unitdischargetime" IS NULL GROUP BY "patientunitstayid" ORDER BY "patient"."unitadmittime" FETCH FIRST 1 ROWS ONLY) SELECT SUM("intakeoutput"."cellvaluenumeric") FROM "intakeoutput" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."celllabel" = 'continuous infusion meds' AND "intakeoutput"."cellpath" LIKE '%intake%' AND NOT "_u_1"."" IS NULL | 0.71582 |
CREATE TABLE table_39506 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
| what country hosted david toms | SELECT "Country" FROM table_39506 WHERE "Player" = 'david toms' | SELECT "Country" FROM "table_39506" WHERE "Player" = 'david toms' | 0.063477 |
CREATE TABLE table_name_85 (team__number1 VARCHAR2, position VARCHAR2)
| What is the team #1 with an 11th place position? | SELECT team__number1 FROM table_name_85 WHERE position = "11th place" | SELECT "team__number1" FROM "table_name_85" WHERE "11th place" = "position" | 0.073242 |
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description 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 date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
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 code_description (code VARCHAR2, description 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 dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt 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 flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
| give me the cheapest round trip flight from DALLAS to BALTIMORE | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, flight, flight_fare WHERE (CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DALLAS' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BALTIMORE' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND fare.round_trip_cost = (SELECT MIN(FAREalias1.round_trip_cost) FROM airport_service AS AIRPORT_SERVICEalias2, airport_service AS AIRPORT_SERVICEalias3, city AS CITYalias2, city AS CITYalias3, fare AS FAREalias1, flight AS FLIGHTalias1, flight_fare AS FLIGHT_FAREalias1 WHERE CITYalias2.city_code = AIRPORT_SERVICEalias2.city_code AND CITYalias2.city_name = 'DALLAS' AND CITYalias3.city_code = AIRPORT_SERVICEalias3.city_code AND CITYalias3.city_name = 'BALTIMORE' AND FLIGHT_FAREalias1.fare_id = FAREalias1.fare_id AND FLIGHTalias1.flight_id = FLIGHT_FAREalias1.flight_id AND FLIGHTalias1.from_airport = AIRPORT_SERVICEalias2.airport_code AND FLIGHTalias1.to_airport = AIRPORT_SERVICEalias3.airport_code) AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id | WITH "_u_0" AS (SELECT MIN("FAREalias1"."round_trip_cost") FROM "airport_service" "AIRPORT_SERVICEalias2" JOIN "city" "CITYalias2" ON "AIRPORT_SERVICEalias2"."city_code" = "CITYalias2"."city_code" AND "CITYalias2"."city_name" = 'DALLAS' JOIN "flight" "FLIGHTalias1" ON "AIRPORT_SERVICEalias2"."airport_code" = "FLIGHTalias1"."from_airport" JOIN "airport_service" "AIRPORT_SERVICEalias3" ON "AIRPORT_SERVICEalias3"."airport_code" = "FLIGHTalias1"."to_airport" JOIN "flight_fare" "FLIGHT_FAREalias1" ON "FLIGHT_FAREalias1"."flight_id" = "FLIGHTalias1"."flight_id" JOIN "city" "CITYalias3" ON "AIRPORT_SERVICEalias3"."city_code" = "CITYalias3"."city_code" AND "CITYalias3"."city_name" = 'BALTIMORE' JOIN "fare" "FAREalias1" ON "FAREalias1"."fare_id" = "FLIGHT_FAREalias1"."fare_id") SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'DALLAS' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "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" = 'BALTIMORE' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" JOIN "_u_0" "_u_0" ON "_u_0"."" = "fare"."round_trip_cost" | 1.428711 |
CREATE TABLE table_55498 ("Round" FLOAT, "Overall" FLOAT, "Player" CLOB, "Nationality" CLOB, "Club team" CLOB)
| What Club team has an average of 8, plays kaj linna, and has an overall larger than 131? | SELECT "Club team" FROM table_55498 WHERE "Overall" > '131' AND "Round" = '8' AND "Player" = 'kaj linna' | SELECT "Club team" FROM "table_55498" WHERE "Overall" > '131' AND "Player" = 'kaj linna' AND "Round" = '8' | 0.103516 |
CREATE TABLE table_13032 ("Rank" FLOAT, "Name" CLOB, "Country" CLOB, "Birth" FLOAT, "Death" CLOB)
| What year is the death for a birth of 1873 and higher than rank 28? | SELECT "Death" FROM table_13032 WHERE "Birth" = '1873' AND "Rank" > '28' | SELECT "Death" FROM "table_13032" WHERE "Birth" = '1873' AND "Rank" > '28' | 0.072266 |
CREATE TABLE table_name_86 (round NUMBER, pick__number VARCHAR2, position VARCHAR2)
| Which is the lowest round to have a pick of 12 and position of linebacker? | SELECT MIN(round) FROM table_name_86 WHERE pick__number = 12 AND position = "linebacker" | SELECT MIN("round") FROM "table_name_86" WHERE "linebacker" = "position" AND "pick__number" = 12 | 0.09375 |
CREATE TABLE table_name_80 (airport VARCHAR2, iata VARCHAR2)
| VIE is the IATA for which city? | SELECT airport FROM table_name_80 WHERE iata = "vie" | SELECT "airport" FROM "table_name_80" WHERE "iata" = "vie" | 0.056641 |
CREATE TABLE table_43358 ("Outcome" CLOB, "Date" CLOB, "Championship" CLOB, "Surface" CLOB, "Opponent" CLOB, "Score" CLOB)
| What is the Opponent when Todd Woodbridge was the runner-up, and a Date of 26 august 1996? | SELECT "Opponent" FROM table_43358 WHERE "Outcome" = 'runner-up' AND "Date" = '26 august 1996' | SELECT "Opponent" FROM "table_43358" WHERE "Date" = '26 august 1996' AND "Outcome" = 'runner-up' | 0.09375 |
CREATE TABLE problem_status_codes (problem_status_code CLOB, problem_status_description CLOB)
CREATE TABLE problem_category_codes (problem_category_code CLOB, problem_category_description CLOB)
CREATE TABLE product (product_id NUMBER, product_name CLOB, product_details CLOB)
CREATE TABLE problems (problem_id NUMBER, product_id NUMBER, closure_authorised_by_staff_id NUMBER, reported_by_staff_id NUMBER, date_problem_reported TIME, date_problem_closed TIME, problem_description CLOB, other_problem_details CLOB)
CREATE TABLE staff (staff_id NUMBER, staff_first_name CLOB, staff_last_name CLOB, other_staff_details CLOB)
CREATE TABLE problem_log (problem_log_id NUMBER, assigned_to_staff_id NUMBER, problem_id NUMBER, problem_category_code CLOB, problem_status_code CLOB, log_entry_date TIME, log_entry_description CLOB, log_entry_fix CLOB, other_log_details CLOB)
| For which product was there a problem reported by Christop Berge, with closure authorised by Ashley Medhurst? Return the product ids. | SELECT product_id FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE T2.staff_first_name = "Christop" AND T2.staff_last_name = "Berge" INTERSECT SELECT product_id FROM problems AS T1 JOIN staff AS T2 ON T1.closure_authorised_by_staff_id = T2.staff_id WHERE T2.staff_first_name = "Ashley" AND T2.staff_last_name = "Medhurst" | SELECT "product_id" FROM "problems" "T1" JOIN "staff" "T2" ON "Berge" = "T2"."staff_last_name" AND "Christop" = "T2"."staff_first_name" AND "T1"."reported_by_staff_id" = "T2"."staff_id" INTERSECT SELECT "product_id" FROM "problems" "T1" JOIN "staff" "T2" ON "Ashley" = "T2"."staff_first_name" AND "Medhurst" = "T2"."staff_last_name" AND "T1"."closure_authorised_by_staff_id" = "T2"."staff_id" | 0.382813 |
CREATE TABLE table_64812 ("Class" CLOB, "Railway number ( s ) " CLOB, "DRG number ( s ) " CLOB, "Quantity" FLOAT, "Year ( s ) of manufacture" CLOB, "Axle arrangement ( UIC ) Bauart" CLOB)
| Which quantity has Axle arrangement (UIC)bauart of c n2t, and DRG number 99 093? | SELECT "Quantity" FROM table_64812 WHERE "Axle arrangement ( UIC ) Bauart" = 'c n2t' AND "DRG number(s)" = '99 093' | SELECT "Quantity" FROM "table_64812" WHERE "Axle arrangement ( UIC ) Bauart" = 'c n2t' AND "DRG number(s)" = '99 093' | 0.114258 |
CREATE TABLE table_name_62 (played NUMBER, drawn NUMBER)
| What is the largest played when the drawn is less than 1? | SELECT MAX(played) FROM table_name_62 WHERE drawn < 1 | SELECT MAX("played") FROM "table_name_62" WHERE "drawn" < 1 | 0.057617 |
CREATE TABLE table_8122 ("Date" CLOB, "Tournament" CLOB, "Winning score" CLOB, "Margin of victory" CLOB, "Runner ( s ) -up" CLOB)
| Which Margin of victory has a Runner(s)-up of betty burfeindt, and a Tournament of pompano beach classic? | SELECT "Margin of victory" FROM table_8122 WHERE "Runner(s)-up" = 'betty burfeindt' AND "Tournament" = 'pompano beach classic' | SELECT "Margin of victory" FROM "table_8122" WHERE "Runner(s)-up" = 'betty burfeindt' AND "Tournament" = 'pompano beach classic' | 0.125 |
CREATE TABLE table_72276 ("Name" CLOB, "Location" CLOB, "Light vehicle" CLOB, "Heavy vehicle ( 2 axles ) " CLOB, "Heavy vehicle ( 3/4 axles ) " CLOB, "Heavy vehicle ( 5+ axles ) " CLOB)
| What is the toll for light vehicles at the plaza where the toll for heavy vehicles with 2 axles is r87.00? | SELECT "Light vehicle" FROM table_72276 WHERE "Heavy vehicle (2 axles)" = 'R87.00' | SELECT "Light vehicle" FROM "table_72276" WHERE "Heavy vehicle (2 axles)" = 'R87.00' | 0.082031 |
CREATE TABLE prereq (course_id VARCHAR2, prereq_id VARCHAR2)
CREATE TABLE student (ID VARCHAR2, name VARCHAR2, dept_name VARCHAR2, tot_cred NUMBER)
CREATE TABLE teaches (ID VARCHAR2, course_id VARCHAR2, sec_id VARCHAR2, semester VARCHAR2, year NUMBER)
CREATE TABLE time_slot (time_slot_id VARCHAR2, day VARCHAR2, start_hr NUMBER, start_min NUMBER, end_hr NUMBER, end_min NUMBER)
CREATE TABLE instructor (ID VARCHAR2, name VARCHAR2, dept_name VARCHAR2, salary NUMBER)
CREATE TABLE section (course_id VARCHAR2, sec_id VARCHAR2, semester VARCHAR2, year NUMBER, building VARCHAR2, room_number VARCHAR2, time_slot_id VARCHAR2)
CREATE TABLE department (dept_name VARCHAR2, building VARCHAR2, budget NUMBER)
CREATE TABLE takes (ID VARCHAR2, course_id VARCHAR2, sec_id VARCHAR2, semester VARCHAR2, year NUMBER, grade VARCHAR2)
CREATE TABLE course (course_id VARCHAR2, title VARCHAR2, dept_name VARCHAR2, credits NUMBER)
CREATE TABLE advisor (s_ID VARCHAR2, i_ID VARCHAR2)
CREATE TABLE classroom (building VARCHAR2, room_number VARCHAR2, capacity NUMBER)
| Show how many courses in 2008 for every instructor with a bar chart, display from high to low by the x axis. | SELECT name, COUNT(name) FROM course AS T1 JOIN teaches AS T2 ON T1.course_id = T2.course_id JOIN instructor AS T3 ON T2.ID = T3.ID WHERE year = 2008 GROUP BY name ORDER BY name DESC | SELECT "name", COUNT("name") FROM "course" "T1" JOIN "teaches" "T2" ON "T1"."course_id" = "T2"."course_id" JOIN "instructor" "T3" ON "T2"."ID" = "T3"."ID" WHERE "year" = 2008 GROUP BY "name" ORDER BY "name" DESC | 0.206055 |
CREATE TABLE table_15187735_5 (segment_a VARCHAR2, segment_c VARCHAR2)
| When cardboard boxes is segment c what is segment a? | SELECT segment_a FROM table_15187735_5 WHERE segment_c = "Cardboard Boxes" | SELECT "segment_a" FROM "table_15187735_5" WHERE "Cardboard Boxes" = "segment_c" | 0.078125 |
CREATE TABLE table_80341 ("Region" CLOB, "Date" CLOB, "Label" CLOB, "Format" CLOB, "Catalog" CLOB)
| What was the region of the release from May 27, 2009? | SELECT "Region" FROM table_80341 WHERE "Date" = 'may 27, 2009' | SELECT "Region" FROM "table_80341" WHERE "Date" = 'may 27, 2009' | 0.0625 |
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
| count the number of people who were diagnosed with chr osteomyelit nec in 2105. | SELECT COUNT(DISTINCT admissions.subject_id) FROM admissions WHERE admissions.hadm_id IN (SELECT diagnoses_icd.hadm_id FROM diagnoses_icd WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'chr osteomyelit nec') AND STRFTIME('%y', diagnoses_icd.charttime) = '2105') | WITH "_u_1" AS (SELECT "diagnoses_icd"."hadm_id" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'chr osteomyelit nec' WHERE STRFTIME('%y', "diagnoses_icd"."charttime") = '2105' GROUP BY "hadm_id") SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "admissions" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "admissions"."hadm_id" WHERE NOT "_u_1"."" IS NULL | 0.44043 |
CREATE TABLE table_12394 ("English" CLOB, "Crimean Gothic" CLOB, "Bible Gothic" CLOB, "German" CLOB, "Dutch" CLOB, "Icelandic" CLOB, "Swedish" CLOB)
| What's the Dutch word for Apel? | SELECT "Dutch" FROM table_12394 WHERE "Crimean Gothic" = 'apel' | SELECT "Dutch" FROM "table_12394" WHERE "Crimean Gothic" = 'apel' | 0.063477 |
CREATE TABLE table_45941 ("Rank" CLOB, "Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What is the sum of Silver, when Total is less than 1? | SELECT SUM("Silver") FROM table_45941 WHERE "Total" < '1' | SELECT SUM("Silver") FROM "table_45941" WHERE "Total" < '1' | 0.057617 |
CREATE TABLE table_name_34 (team_2 VARCHAR2)
| What was the first leg score for the match that had AS Police as team 2? | SELECT 1 AS st_leg FROM table_name_34 WHERE team_2 = "as police" | SELECT 1 AS "st_leg" FROM "table_name_34" WHERE "as police" = "team_2" | 0.068359 |
CREATE TABLE table_name_34 (gold NUMBER, bronze VARCHAR2, silver VARCHAR2, nation VARCHAR2)
| What is the lowest gold that has a silver less than 2, Zimbabwe as the nation, and a bronze less than 1? | SELECT MIN(gold) FROM table_name_34 WHERE silver < 2 AND nation = "zimbabwe" AND bronze < 1 | SELECT MIN("gold") FROM "table_name_34" WHERE "bronze" < 1 AND "nation" = "zimbabwe" AND "silver" < 2 | 0.098633 |
CREATE TABLE table_41443 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| What is the High assists with a Date that is march 31? | SELECT "High assists" FROM table_41443 WHERE "Date" = 'march 31' | SELECT "High assists" FROM "table_41443" WHERE "Date" = 'march 31' | 0.064453 |
CREATE TABLE table_485 ("Season #" FLOAT, "Series #" FLOAT, "Title" CLOB, "Canadian airdate" CLOB, "U.S. airdate" CLOB, "Production code" FLOAT)
| What is the total number of title with a u.s. air date of April 17, 2009 | SELECT COUNT("Title") FROM table_485 WHERE "U.S. airdate" = 'April 17, 2009' | SELECT COUNT("Title") FROM "table_485" WHERE "U.S. airdate" = 'April 17, 2009' | 0.076172 |
CREATE TABLE table_22355_68 (rank NUMBER, gold VARCHAR2)
| Name the most rank for 2 gold | SELECT MIN(rank) FROM table_22355_68 WHERE gold = 2 | SELECT MIN("rank") FROM "table_22355_68" WHERE "gold" = 2 | 0.055664 |
CREATE TABLE table_25343 ("Series #" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "Prod. code" FLOAT)
| What is the original air date of the episode titled 'Pilot'? | SELECT "Original air date" FROM table_25343 WHERE "Title" = 'Pilot' | SELECT "Original air date" FROM "table_25343" WHERE "Title" = 'Pilot' | 0.067383 |
CREATE TABLE table_name_83 (against NUMBER, central_murray VARCHAR2, losses VARCHAR2)
| What are the most againsts with more than 11 losses and central murray is Nyah Nyah West Utd? | SELECT MAX(against) FROM table_name_83 WHERE central_murray = "nyah nyah west utd" AND losses > 11 | SELECT MAX("against") FROM "table_name_83" WHERE "central_murray" = "nyah nyah west utd" AND "losses" > 11 | 0.103516 |
CREATE TABLE table_name_98 (region__year_ VARCHAR2, no_2 VARCHAR2, no_10 VARCHAR2)
| In what region and year was Jacob the number 2 name and Ryan the number 10 name? | SELECT region__year_ FROM table_name_98 WHERE no_2 = "jacob" AND no_10 = "ryan" | SELECT "region__year_" FROM "table_name_98" WHERE "jacob" = "no_2" AND "no_10" = "ryan" | 0.084961 |
CREATE TABLE table_235 ("Season" FLOAT, "Season premiere" CLOB, "Season finale" CLOB, "TV season" CLOB, "Ranking" CLOB, "Viewers ( in millions ) " CLOB)
| What tv season had a season finale of august 18, 2004? | SELECT "TV season" FROM table_235 WHERE "Season finale" = 'August 18, 2004' | SELECT "TV season" FROM "table_235" WHERE "Season finale" = 'August 18, 2004' | 0.075195 |
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id 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_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
| Next semester , who teaches INTLSTD 370 ? | SELECT DISTINCT instructor.name FROM instructor INNER JOIN offering_instructor ON offering_instructor.instructor_id = instructor.instructor_id INNER JOIN course_offering ON offering_instructor.offering_id = course_offering.offering_id INNER JOIN course ON course.course_id = course_offering.course_id INNER JOIN semester ON semester.semester_id = course_offering.semester WHERE course.department = 'INTLSTD' AND course.number = 370 AND semester.semester = 'FA' AND semester.year = 2016 | SELECT DISTINCT "instructor"."name" FROM "instructor" JOIN "offering_instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" JOIN "course_offering" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "course" ON "course"."course_id" = "course_offering"."course_id" AND "course"."department" = 'INTLSTD' AND "course"."number" = 370 JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'FA' AND "semester"."year" = 2016 | 0.508789 |
CREATE TABLE table_name_51 (winner VARCHAR2, rally_leader VARCHAR2, name VARCHAR2)
| Name the winner with rally leader of c. atkinson and name of agia sotira 1 | SELECT winner FROM table_name_51 WHERE rally_leader = "c. atkinson" AND name = "agia sotira 1" | SELECT "winner" FROM "table_name_51" WHERE "agia sotira 1" = "name" AND "c. atkinson" = "rally_leader" | 0.099609 |
CREATE TABLE table_24906653_5 (field_goals VARCHAR2, player VARCHAR2)
| How many long range shots did tonya edwards make. | SELECT COUNT(field_goals) FROM table_24906653_5 WHERE player = "Tonya Edwards" | SELECT COUNT("field_goals") FROM "table_24906653_5" WHERE "Tonya Edwards" = "player" | 0.082031 |
CREATE TABLE city (City_ID NUMBER, County_ID NUMBER, Name CLOB, White FLOAT, Black FLOAT, Amerindian FLOAT, Asian FLOAT, Multiracial FLOAT, Hispanic FLOAT)
CREATE TABLE county_public_safety (County_ID NUMBER, Name CLOB, Population NUMBER, Police_officers NUMBER, Residents_per_officer NUMBER, Case_burden NUMBER, Crime_rate FLOAT, Police_force CLOB, Location CLOB)
| Create a bar chart showing the total number across police force, and sort by the X from low to high please. | SELECT Police_force, COUNT(*) FROM county_public_safety GROUP BY Police_force ORDER BY Police_force | SELECT "Police_force", COUNT(*) FROM "county_public_safety" GROUP BY "Police_force" ORDER BY "Police_force" | 0.104492 |
CREATE TABLE table_37050 ("Athlete" CLOB, "Country" CLOB, "Run 1" FLOAT, "Run 2" FLOAT, "Run 3" FLOAT)
| What is the run 3 of the athlete with a run 1 more than 53.75 and a run 2 less than 52.91? | SELECT SUM("Run 3") FROM table_37050 WHERE "Run 1" > '53.75' AND "Run 2" < '52.91' | SELECT SUM("Run 3") FROM "table_37050" WHERE "Run 1" > '53.75' AND "Run 2" < '52.91' | 0.082031 |
CREATE TABLE table_name_40 (driver VARCHAR2, percentage_of_possible_points VARCHAR2, points VARCHAR2, season VARCHAR2)
| Which driver had points over 252 in the season of 2012 with a percentage of possible points at 55.60%? | SELECT driver FROM table_name_40 WHERE points > 252 AND season = "2012" AND percentage_of_possible_points = "55.60%" | SELECT "driver" FROM "table_name_40" WHERE "2012" = "season" AND "55.60%" = "percentage_of_possible_points" AND "points" > 252 | 0.123047 |
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
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 microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
| what was the last value of a ph lab test of patient 006-77873 in 11/last year? | 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 = '006-77873')) AND lab.labname = 'ph' AND DATETIME(lab.labresulttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m', lab.labresulttime) = '11' ORDER BY lab.labresulttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '006-77873' 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 "lab"."labresult" FROM "lab" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = 'ph' AND DATETIME("lab"."labresulttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_1"."" IS NULL AND STRFTIME('%m', "lab"."labresulttime") = '11' ORDER BY "lab"."labresulttime" DESC FETCH FIRST 1 ROWS ONLY | 0.709961 |
CREATE TABLE table_18085 ("Club" CLOB, "Played" CLOB, "Won" CLOB, "Drawn" CLOB, "Lost" CLOB, "Points for" CLOB, "Points against" CLOB, "Tries for" CLOB, "Tries against" CLOB, "Try bonus" CLOB, "Losing bonus" CLOB, "Points" CLOB)
| What amount of points for were there when there was 52 points? | SELECT "Points for" FROM table_18085 WHERE "Points" = '52' | SELECT "Points for" FROM "table_18085" WHERE "Points" = '52' | 0.058594 |
CREATE TABLE table_53978 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| On what date did the home team score 5.8 (38)? | SELECT "Date" FROM table_53978 WHERE "Home team score" = '5.8 (38)' | SELECT "Date" FROM "table_53978" WHERE "Home team score" = '5.8 (38)' | 0.067383 |
CREATE TABLE Subjects (subject_id NUMBER, subject_name VARCHAR2)
CREATE TABLE Students (student_id NUMBER, date_of_registration DATETIME, date_of_latest_logon DATETIME, login_name VARCHAR2, password VARCHAR2, personal_name VARCHAR2, middle_name VARCHAR2, family_name VARCHAR2)
CREATE TABLE Student_Tests_Taken (registration_id NUMBER, date_test_taken DATETIME, test_result VARCHAR2)
CREATE TABLE Course_Authors_and_Tutors (author_id NUMBER, author_tutor_ATB VARCHAR2, login_name VARCHAR2, password VARCHAR2, personal_name VARCHAR2, middle_name VARCHAR2, family_name VARCHAR2, gender_mf VARCHAR2, address_line_1 VARCHAR2)
CREATE TABLE Student_Course_Enrolment (registration_id NUMBER, student_id NUMBER, course_id NUMBER, date_of_enrolment DATETIME, date_of_completion DATETIME)
CREATE TABLE Courses (course_id NUMBER, author_id NUMBER, subject_id NUMBER, course_name VARCHAR2, course_description VARCHAR2)
| Bar chart of how many date of enrolment from each date of enrolment | SELECT date_of_enrolment, COUNT(date_of_enrolment) FROM Student_Course_Enrolment | SELECT "date_of_enrolment", COUNT("date_of_enrolment") FROM "Student_Course_Enrolment" | 0.083984 |
CREATE TABLE entrepreneur (Company VARCHAR2, Investor VARCHAR2)
| List the companies and the investors of entrepreneurs. | SELECT Company, Investor FROM entrepreneur | SELECT "Company", "Investor" FROM "entrepreneur" | 0.046875 |
CREATE TABLE table_name_54 (year_built VARCHAR2, current_status VARCHAR2, boat_builder VARCHAR2)
| What year did J. Jones, trearddur bay build a boat with a current status of tbsc? | SELECT year_built FROM table_name_54 WHERE current_status = "tbsc" AND boat_builder = "j. jones, trearddur bay" | SELECT "year_built" FROM "table_name_54" WHERE "boat_builder" = "j. jones, trearddur bay" AND "current_status" = "tbsc" | 0.116211 |
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
| tell me the first value of the calculated total co2 for patient 13163 when they came to the hospital last time? | SELECT labevents.valuenum FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 13163 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime DESC LIMIT 1) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'calculated total co2') ORDER BY labevents.charttime LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 13163 AND NOT "admissions"."dischtime" IS NULL GROUP BY "hadm_id" ORDER BY "admissions"."admittime" DESC FETCH FIRST 1 ROWS ONLY), "_u_1" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'calculated total co2' GROUP BY "itemid") SELECT "labevents"."valuenum" FROM "labevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "labevents"."hadm_id" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "labevents"."itemid" WHERE NOT "_u_0"."" IS NULL AND NOT "_u_1"."" IS NULL ORDER BY "labevents"."charttime" FETCH FIRST 1 ROWS ONLY | 0.621094 |
CREATE TABLE table_204_902 (id NUMBER, "rank" NUMBER, "name" CLOB, "nationality" CLOB, "time" CLOB, "notes" CLOB)
| who was the top ranked competitor in this race ? | SELECT "name" FROM table_204_902 WHERE "rank" = 1 | SELECT "name" FROM "table_204_902" WHERE "rank" = 1 | 0.049805 |
CREATE TABLE buildings (id NUMBER, name CLOB, city CLOB, height NUMBER, stories NUMBER, status CLOB)
CREATE TABLE office_locations (building_id NUMBER, company_id NUMBER, move_in_year NUMBER)
CREATE TABLE companies (id NUMBER, name CLOB, headquarters CLOB, industry CLOB, sales_billion NUMBER, profits_billion NUMBER, assets_billion NUMBER, market_value_billion CLOB)
| Which building has the largest number of company offices? Give me the building name. | SELECT T2.name FROM office_locations AS T1 JOIN buildings AS T2 ON T1.building_id = T2.id JOIN companies AS T3 ON T1.company_id = T3.id GROUP BY T1.building_id ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "T2"."name" FROM "office_locations" "T1" JOIN "buildings" "T2" ON "T1"."building_id" = "T2"."id" JOIN "companies" "T3" ON "T1"."company_id" = "T3"."id" GROUP BY "T1"."building_id" ORDER BY COUNT(*) DESC FETCH FIRST 1 ROWS ONLY | 0.227539 |
CREATE TABLE table_25983027_1 (rainfall_by_depth__mm_year_ VARCHAR2, land_area__km_2__ VARCHAR2)
| In the Central region, where the land area (km 2) is 8,543.2, what was the rainfall by depth (mm/year)? | SELECT rainfall_by_depth__mm_year_ FROM table_25983027_1 WHERE land_area__km_2__ = "8,543.2" | SELECT "rainfall_by_depth__mm_year_" FROM "table_25983027_1" WHERE "8,543.2" = "land_area__km_2__" | 0.095703 |
CREATE TABLE repair (repair_ID NUMBER, name CLOB, Launch_Date CLOB, Notes CLOB)
CREATE TABLE machine (Machine_ID NUMBER, Making_Year NUMBER, Class CLOB, Team CLOB, Machine_series CLOB, value_points FLOAT, quality_rank NUMBER)
CREATE TABLE technician (technician_id FLOAT, Name CLOB, Team CLOB, Starting_Year FLOAT, Age NUMBER)
CREATE TABLE repair_assignment (technician_id NUMBER, repair_ID NUMBER, Machine_ID NUMBER)
| What is the name of the technician whose team is not 'NYY', and count them by a bar chart | SELECT Name, COUNT(Name) FROM technician WHERE Team <> "NYY" GROUP BY Name | SELECT "Name", COUNT("Name") FROM "technician" WHERE "NYY" <> "Team" GROUP BY "Name" | 0.082031 |
CREATE TABLE table_17103 ("Player" CLOB, "Position" CLOB, "School" CLOB, "Hometown" CLOB, "College" CLOB)
| Which school has the player Thomas Tyner? | SELECT "School" FROM table_17103 WHERE "Player" = 'Thomas Tyner' | SELECT "School" FROM "table_17103" WHERE "Player" = 'Thomas Tyner' | 0.064453 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| provide the number of patients whose primary disease is cerebral aneurysm/sda and admission year is less than 2173? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "CEREBRAL ANEURYSM/SDA" AND demographic.admityear < "2173" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2173" > "demographic"."admityear" AND "CEREBRAL ANEURYSM/SDA" = "demographic"."diagnosis" | 0.161133 |
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
| how many patients until 2 years ago underwent sm bowel endoscopy nec in the same hospital visit after having been diagnosed with anisocoria? | SELECT COUNT(DISTINCT t1.subject_id) FROM (SELECT admissions.subject_id, diagnoses_icd.charttime, admissions.hadm_id FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'anisocoria') AND DATETIME(diagnoses_icd.charttime) <= DATETIME(CURRENT_TIME(), '-2 year')) AS t1 JOIN (SELECT admissions.subject_id, procedures_icd.charttime, admissions.hadm_id FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'sm bowel endoscopy nec') AND DATETIME(procedures_icd.charttime) <= DATETIME(CURRENT_TIME(), '-2 year')) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.charttime AND t1.hadm_id = t2.hadm_id | WITH "t2" AS (SELECT "admissions"."subject_id", "procedures_icd"."charttime", "admissions"."hadm_id" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'sm bowel endoscopy nec' JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id" WHERE DATETIME("procedures_icd"."charttime") <= DATETIME(CURRENT_TIME(), '-2 year')) SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'anisocoria' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" JOIN "t2" "t2" ON "admissions"."hadm_id" = "t2"."hadm_id" AND "admissions"."subject_id" = "t2"."subject_id" AND "diagnoses_icd"."charttime" < "t2"."charttime" WHERE DATETIME("diagnoses_icd"."charttime") <= DATETIME(CURRENT_TIME(), '-2 year') | 0.931641 |
CREATE TABLE table_47065 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| What is the average game that has December 6 as the date? | SELECT AVG("Game") FROM table_47065 WHERE "Date" = 'december 6' | SELECT AVG("Game") FROM "table_47065" WHERE "Date" = 'december 6' | 0.063477 |
CREATE TABLE table_25686 ("Episode Number" CLOB, "Title" CLOB, "Villains" CLOB, "Director" CLOB, "Writer" CLOB, "Original airdate" CLOB)
| Who was the writer of 'Face Off'? | SELECT "Writer" FROM table_25686 WHERE "Title" = 'Face Off' | SELECT "Writer" FROM "table_25686" WHERE "Title" = 'Face Off' | 0.05957 |
CREATE TABLE table_56843 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Time ( ET ) " CLOB, "Result" CLOB, "Game Site" CLOB, "Record" CLOB, "Match Report" CLOB)
| What was the Date of Week 16? | SELECT "Date" FROM table_56843 WHERE "Week" = '16' | SELECT "Date" FROM "table_56843" WHERE "Week" = '16' | 0.050781 |
CREATE TABLE table_13505 ("Year" FLOAT, "Competition" CLOB, "Venue" CLOB, "Position" CLOB, "Event" CLOB)
| In what position did Salina Kosgei finish in the Tokyo Marathon? | SELECT "Position" FROM table_13505 WHERE "Competition" = 'tokyo marathon' | SELECT "Position" FROM "table_13505" WHERE "Competition" = 'tokyo marathon' | 0.073242 |
CREATE TABLE table_name_22 (placings NUMBER, rank VARCHAR2, points VARCHAR2)
| What is the Place of the couple with a Rank smaller than 7 and 514.55 Points? | SELECT SUM(placings) FROM table_name_22 WHERE rank < 7 AND points = 514.55 | SELECT SUM("placings") FROM "table_name_22" WHERE "points" = 514.55 AND "rank" < 7 | 0.080078 |
CREATE TABLE table_57502 ("Rank" FLOAT, "Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| How many bronze medals did west germany win when they had less than 2 silver medals? | SELECT SUM("Bronze") FROM table_57502 WHERE "Nation" = 'west germany' AND "Silver" < '2' | SELECT SUM("Bronze") FROM "table_57502" WHERE "Nation" = 'west germany' AND "Silver" < '2' | 0.087891 |
CREATE TABLE table_name_40 (shooter VARCHAR2, score_points VARCHAR2)
| Which Shooter has Score points of olympic silver medalist? | SELECT shooter FROM table_name_40 WHERE score_points = "olympic silver medalist" | SELECT "shooter" FROM "table_name_40" WHERE "olympic silver medalist" = "score_points" | 0.083984 |
CREATE TABLE table_18901 ("Rnd" FLOAT, "Circuit" CLOB, "GTO Winning Team" CLOB, "GTU Winning Team" CLOB, "TO Winning Team" CLOB, "TU Winning Team" CLOB, "Results" CLOB)
| What round was the gto winning team #48 greenwood racing? | SELECT "Rnd" FROM table_18901 WHERE "GTO Winning Team" = '#48 Greenwood Racing' | SELECT "Rnd" FROM "table_18901" WHERE "GTO Winning Team" = '#48 Greenwood Racing' | 0.079102 |
CREATE TABLE table_name_21 (player VARCHAR2, total VARCHAR2, tally VARCHAR2)
| Which Player has a Total smaller than 11, and a Tally of 0-9? | SELECT player FROM table_name_21 WHERE total < 11 AND tally = "0-9" | SELECT "player" FROM "table_name_21" WHERE "0-9" = "tally" AND "total" < 11 | 0.073242 |
CREATE TABLE table_44537 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
| What is Country, when Score is 70-73=143? | SELECT "Country" FROM table_44537 WHERE "Score" = '70-73=143' | SELECT "Country" FROM "table_44537" WHERE "Score" = '70-73=143' | 0.061523 |
CREATE TABLE table_58967 ("Nat." CLOB, "Name" CLOB, "Moving to" CLOB, "Type" CLOB, "Transfer window" CLOB)
| Who is moving to Triestina? | SELECT "Name" FROM table_58967 WHERE "Moving to" = 'triestina' | SELECT "Name" FROM "table_58967" WHERE "Moving to" = 'triestina' | 0.0625 |
CREATE TABLE faculty (campus NUMBER, year NUMBER, faculty NUMBER)
CREATE TABLE csu_fees (campus NUMBER, year NUMBER, campusfee NUMBER)
CREATE TABLE campuses (id NUMBER, campus CLOB, location CLOB, county CLOB, year NUMBER)
CREATE TABLE degrees (year NUMBER, campus NUMBER, degrees NUMBER)
CREATE TABLE enrollments (campus NUMBER, year NUMBER, totalenrollment_ay NUMBER, fte_ay NUMBER)
CREATE TABLE discipline_enrollments (campus NUMBER, discipline NUMBER, year NUMBER, undergraduate NUMBER, graduate NUMBER)
| What is the number of faculty lines in campus 'Long Beach State University' in 2002? | SELECT faculty FROM faculty AS T1 JOIN campuses AS T2 ON T1.campus = T2.id WHERE T1.year = 2002 AND T2.campus = "Long Beach State University" | SELECT "faculty" FROM "faculty" "T1" JOIN "campuses" "T2" ON "Long Beach State University" = "T2"."campus" AND "T1"."campus" = "T2"."id" WHERE "T1"."year" = 2002 | 0.157227 |
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 regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
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)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
| For those employees who do not work in departments with managers that have ids between 100 and 200, a bar chart shows the distribution of email and manager_id , display X in desc order please. | SELECT EMAIL, MANAGER_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY EMAIL DESC | SELECT "EMAIL", "MANAGER_ID" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY "EMAIL" DESC | 0.185547 |
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 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 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 allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime 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 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)
| when did patient 029-16431 come this year for the last time to the hospital? | SELECT patient.hospitaladmittime FROM patient WHERE patient.uniquepid = '029-16431' AND DATETIME(patient.hospitaladmittime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') ORDER BY patient.hospitaladmittime DESC LIMIT 1 | SELECT "patient"."hospitaladmittime" FROM "patient" WHERE "patient"."uniquepid" = '029-16431' AND DATETIME("patient"."hospitaladmittime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') ORDER BY "patient"."hospitaladmittime" DESC FETCH FIRST 1 ROWS ONLY | 0.270508 |
CREATE TABLE table_204_245 (id NUMBER, "#" NUMBER, "wrestlers" CLOB, "reign" NUMBER, "date" CLOB, "days\ held" NUMBER, "location" CLOB, "event" CLOB, "notes" CLOB)
| how many events were held in 2011 | SELECT COUNT("event") FROM table_204_245 WHERE "date" = 2011 | SELECT COUNT("event") FROM "table_204_245" WHERE "date" = 2011 | 0.060547 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.