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CREATE TABLE table_42102 ("Ecozone" CLOB, "Area ( km\\u00b2 ) Territorial waters" FLOAT, "Area ( km\\u00b2 ) Exclusive Economic Zone" FLOAT, "Percentage of total area ( forEEZ ) " FLOAT, "Percentage of marine area ( forEEZ ) " FLOAT)
| What is the smallest area of territorial waters with an exclusive economic zone area more than 704,849 and a percentage of total area greater than 6.8? | SELECT MIN("Area (km\u00b2) Territorial waters") FROM table_42102 WHERE "Area (km\u00b2) Exclusive Economic Zone" > '704,849' AND "Percentage of total area (forEEZ)" > '6.8' | SELECT MIN("Area (km\u00b2) Territorial waters") FROM "table_42102" WHERE "Area (km\u00b2) Exclusive Economic Zone" > '704,849' AND "Percentage of total area (forEEZ)" > '6.8' | 0.170898 |
CREATE TABLE table_15277629_1 (original_title VARCHAR2, director VARCHAR2)
| Name the original title of the Suzana Amaral film | SELECT original_title FROM table_15277629_1 WHERE director = "Suzana Amaral" | SELECT "original_title" FROM "table_15277629_1" WHERE "Suzana Amaral" = "director" | 0.080078 |
CREATE TABLE table_5019 ("Season" CLOB, "Series" CLOB, "Team" CLOB, "Races" CLOB, "Wins" CLOB, "Poles" CLOB, "F/Laps" CLOB, "Podiums" CLOB, "Points" CLOB, "Position" CLOB)
| How many wins did the team with 5 podiums have? | SELECT "Wins" FROM table_5019 WHERE "Podiums" = '5' | SELECT "Wins" FROM "table_5019" WHERE "Podiums" = '5' | 0.051758 |
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)
| give me the number of patients whose religion is catholic and item id is 51067? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.religion = "CATHOLIC" AND lab.itemid = "51067" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "51067" = "lab"."itemid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "CATHOLIC" = "demographic"."religion" | 0.192383 |
CREATE TABLE table_name_48 (revised VARCHAR2, mccune_reischauer VARCHAR2)
| Tell me the revised of mccune reischauer of y n (s) ry n (n) | SELECT revised FROM table_name_48 WHERE mccune_reischauer = "yŏn (s) ryŏn (n)" | SELECT "revised" FROM "table_name_48" WHERE "mccune_reischauer" = "yŏn (s) ryŏn (n)" | 0.082031 |
CREATE TABLE table_62807 ("Rank" FLOAT, "Athletes" CLOB, "Country" CLOB, "Time" CLOB, "Notes" CLOB)
| When france had a rank larger than 2, what was their time? | SELECT "Time" FROM table_62807 WHERE "Rank" > '2' AND "Country" = 'france' | SELECT "Time" FROM "table_62807" WHERE "Country" = 'france' AND "Rank" > '2' | 0.074219 |
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_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 d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE 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 diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE 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)
| when did patient 95057 get the anion gap lab test for the last time during their current hospital encounter? | SELECT labevents.charttime FROM labevents WHERE labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'anion gap') AND labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 95057 AND admissions.dischtime IS NULL) ORDER BY labevents.charttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'anion gap' GROUP BY "itemid"), "_u_1" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."dischtime" IS NULL AND "admissions"."subject_id" = 95057 GROUP BY "hadm_id") SELECT "labevents"."charttime" FROM "labevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "labevents"."itemid" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "labevents"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND NOT "_u_1"."" IS NULL ORDER BY "labevents"."charttime" DESC FETCH FIRST 1 ROWS ONLY | 0.550781 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| how many patients with government insurance had the procedure icd9 code as 3727? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Government" AND procedures.icd9_code = "3727" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "3727" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "Government" = "demographic"."insurance" | 0.217773 |
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE 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 procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_diagnoses (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 chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE 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 prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
| what was the drug prescribed for patient 25696 for the last time in 05/2105? | SELECT prescriptions.drug FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 25696) AND STRFTIME('%y-%m', prescriptions.startdate) = '2105-05' ORDER BY prescriptions.startdate DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 25696 GROUP BY "hadm_id") SELECT "prescriptions"."drug" FROM "prescriptions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND STRFTIME('%y-%m', "prescriptions"."startdate") = '2105-05' ORDER BY "prescriptions"."startdate" DESC FETCH FIRST 1 ROWS ONLY | 0.386719 |
CREATE TABLE table_name_95 (laps NUMBER, rider VARCHAR2, grid VARCHAR2)
| What is the average Laps that have gregorio lavilla as the rider, with a grid greater than 13? | SELECT AVG(laps) FROM table_name_95 WHERE rider = "gregorio lavilla" AND grid > 13 | SELECT AVG("laps") FROM "table_name_95" WHERE "gregorio lavilla" = "rider" AND "grid" > 13 | 0.087891 |
CREATE TABLE table_11066073_1 (colour VARCHAR2, registration_no VARCHAR2)
| What is the number of colour with the regisration number of mg-509? | SELECT COUNT(colour) FROM table_11066073_1 WHERE registration_no = "MG-509" | SELECT COUNT("colour") FROM "table_11066073_1" WHERE "MG-509" = "registration_no" | 0.079102 |
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)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| count the number of patients whose ethnicity is american indian/alaska native and age is less than 63? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "AMERICAN INDIAN/ALASKA NATIVE" AND demographic.age < "63" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "63" > "demographic"."age" AND "AMERICAN INDIAN/ALASKA NATIVE" = "demographic"."ethnicity" | 0.161133 |
CREATE TABLE table_train_260 ("id" NUMBER, "leukocyte_deficiencies" BOOLEAN, "bleeding" NUMBER, "hemoglobin_a1c_hba1c" FLOAT, "leukocyte_dysfunction" BOOLEAN, "renal_disease" BOOLEAN, "hba1c" FLOAT, "serum_creatinine" FLOAT, "NOUSE" FLOAT)
| glycated hemoglobin a1c ( hba1c ) levels of at least 8 % up to and including 12 % as reported within 4 weeks of implant placement | SELECT * FROM table_train_260 WHERE hba1c >= 8 AND hemoglobin_a1c_hba1c <= 12 | SELECT * FROM "table_train_260" WHERE "hba1c" >= 8 AND "hemoglobin_a1c_hba1c" <= 12 | 0.081055 |
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 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 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 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 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 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 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 inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
| what's patient 6536's minimum value of atypical lymphocytes since 02/2103? | SELECT MIN(labevents.valuenum) FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 6536) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'atypical lymphocytes') AND STRFTIME('%y-%m', labevents.charttime) >= '2103-02' | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 6536 GROUP BY "hadm_id"), "_u_1" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'atypical lymphocytes' GROUP BY "itemid") SELECT MIN("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 AND STRFTIME('%y-%m', "labevents"."charttime") >= '2103-02' | 0.526367 |
CREATE TABLE table_name_77 (pick__number NUMBER, round VARCHAR2, overall VARCHAR2)
| What is the sum of the pick numbers where the player was picked in round 5 and overall pick number was greater than 159? | SELECT SUM(pick__number) FROM table_name_77 WHERE round = 5 AND overall > 159 | SELECT SUM("pick__number") FROM "table_name_77" WHERE "overall" > 159 AND "round" = 5 | 0.083008 |
CREATE TABLE table_70523 ("Year" CLOB, "Start" CLOB, "Qual" CLOB, "Rank" CLOB, "Finish" CLOB, "Laps" FLOAT)
| Name the qual for rank of 9 | SELECT "Qual" FROM table_70523 WHERE "Rank" = '9' | SELECT "Qual" FROM "table_70523" WHERE "Rank" = '9' | 0.049805 |
CREATE TABLE table_name_91 (gymnast VARCHAR2, vault VARCHAR2, floor_exercise VARCHAR2, balance_beam VARCHAR2, total VARCHAR2)
| Which gymnast had a balance beam larger than 8.687, had a total less than 38.049, had a floor exercise less than 9.462, and a vault less than 9.275? | SELECT gymnast FROM table_name_91 WHERE balance_beam > 8.687 AND total < 38.049 AND floor_exercise < 9.462 AND vault < 9.275 | SELECT "gymnast" FROM "table_name_91" WHERE "balance_beam" > 8.687 AND "floor_exercise" < 9.462 AND "total" < 38.049 AND "vault" < 9.275 | 0.132813 |
CREATE TABLE Invoice_Line_Items (order_item_id NUMBER, invoice_number NUMBER, product_id NUMBER, product_title VARCHAR2, product_quantity VARCHAR2, product_price NUMBER, derived_product_cost NUMBER, derived_vat_payable NUMBER, derived_total_cost NUMBER)
CREATE TABLE Orders (order_id NUMBER, customer_id NUMBER, date_order_placed DATETIME, order_details VARCHAR2)
CREATE TABLE Products (product_id NUMBER, parent_product_id NUMBER, production_type_code VARCHAR2, unit_price NUMBER, product_name VARCHAR2, product_color VARCHAR2, product_size VARCHAR2)
CREATE TABLE Financial_Transactions (transaction_id NUMBER, account_id NUMBER, invoice_number NUMBER, transaction_type VARCHAR2, transaction_date DATETIME, transaction_amount NUMBER, transaction_comment VARCHAR2, other_transaction_details VARCHAR2)
CREATE TABLE Customers (customer_id NUMBER, customer_first_name VARCHAR2, customer_middle_initial VARCHAR2, customer_last_name VARCHAR2, gender VARCHAR2, email_address VARCHAR2, login_name VARCHAR2, login_password VARCHAR2, phone_number VARCHAR2, town_city VARCHAR2, state_county_province VARCHAR2, country VARCHAR2)
CREATE TABLE Accounts (account_id NUMBER, customer_id NUMBER, date_account_opened DATETIME, account_name VARCHAR2, other_account_details VARCHAR2)
CREATE TABLE Product_Categories (production_type_code VARCHAR2, product_type_description VARCHAR2, vat_rating NUMBER)
CREATE TABLE Order_Items (order_item_id NUMBER, order_id NUMBER, product_id NUMBER, product_quantity VARCHAR2, other_order_item_details VARCHAR2)
CREATE TABLE Invoices (invoice_number NUMBER, order_id NUMBER, invoice_date DATETIME)
| Show the transaction types and the total amount of transactions with a pie chart. | SELECT transaction_type, SUM(transaction_amount) FROM Financial_Transactions GROUP BY transaction_type | SELECT "transaction_type", SUM("transaction_amount") FROM "Financial_Transactions" GROUP BY "transaction_type" | 0.107422 |
CREATE TABLE table_53793 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| Name the team on february 12 | SELECT "Team" FROM table_53793 WHERE "Date" = 'february 12' | SELECT "Team" FROM "table_53793" WHERE "Date" = 'february 12' | 0.05957 |
CREATE TABLE table_204_330 (id NUMBER, "finished" CLOB, "horse" CLOB, "jockey" CLOB, "trainer" CLOB, "owner" CLOB, "time / behind" CLOB)
| who came in first ? | SELECT "horse" FROM table_204_330 WHERE "finished" = 1 | SELECT "horse" FROM "table_204_330" WHERE "finished" = 1 | 0.054688 |
CREATE TABLE table_name_69 (song VARCHAR2, artist VARCHAR2)
| What is the Song by Artist Robert Cogoi? | SELECT song FROM table_name_69 WHERE artist = "robert cogoi" | SELECT "song" FROM "table_name_69" WHERE "artist" = "robert cogoi" | 0.064453 |
CREATE TABLE table_35184 ("Game" FLOAT, "March" FLOAT, "Opponent" CLOB, "Score" CLOB, "Record" CLOB)
| March of 29 involves what highest scoring game? | SELECT MAX("Game") FROM table_35184 WHERE "March" = '29' | SELECT MAX("Game") FROM "table_35184" WHERE "March" = '29' | 0.056641 |
CREATE TABLE table_name_23 (conference_titles VARCHAR2, win__percentage VARCHAR2)
| What is Conference Titles, when Win % is .667? | SELECT conference_titles FROM table_name_23 WHERE win__percentage = ".667" | SELECT "conference_titles" FROM "table_name_23" WHERE ".667" = "win__percentage" | 0.078125 |
CREATE TABLE table_test_3 ("id" NUMBER, "gender" CLOB, "pregnancy_or_lactation" BOOLEAN, "severe_hemodynamic_instability" BOOLEAN, "consent" BOOLEAN, "hemoglobin_a1c_hba1c" FLOAT, "metallic_implants" BOOLEAN, "allergy_to_aspirin" BOOLEAN, "creatinine_clearance_cl" FLOAT, "post_menopausal" BOOLEAN, "clinical_evidence_of_active_bleeding" BOOLEAN, "cardiogenic_shock" BOOLEAN, "platelet_count" FLOAT, "contraindication_for_nmr" BOOLEAN, "kidney_disease" BOOLEAN, "claustrophobia" BOOLEAN, "hypertension" BOOLEAN, "age" FLOAT, "NOUSE" FLOAT)
| > 18 years of age, male or female , capable of giving an informed consent. | SELECT * FROM table_test_3 WHERE age > 18 AND (gender = 'male' OR gender = 'female') AND consent = 1 | SELECT * FROM "table_test_3" WHERE "age" > 18 AND "consent" = 1 AND ("gender" = 'female' OR "gender" = 'male') | 0.107422 |
CREATE TABLE table_name_69 (latitude VARCHAR2, water__sqmi_ NUMBER)
| How much Latitude has a Water (sqmi) smaller than 0? | SELECT COUNT(latitude) FROM table_name_69 WHERE water__sqmi_ < 0 | SELECT COUNT("latitude") FROM "table_name_69" WHERE "water__sqmi_" < 0 | 0.068359 |
CREATE TABLE table_40617 ("Outcome" CLOB, "Date" CLOB, "Tournament" CLOB, "Surface" CLOB, "Opponent" CLOB, "Score" CLOB)
| What is the Score with an Opponent that is flavia pennetta? | SELECT "Score" FROM table_40617 WHERE "Opponent" = 'flavia pennetta' | SELECT "Score" FROM "table_40617" WHERE "Opponent" = 'flavia pennetta' | 0.068359 |
CREATE TABLE table_11062 ("Name" CLOB, "Bodyweight" FLOAT, "Snatch" FLOAT, "Clean & jerk" FLOAT, "Total ( kg ) " FLOAT)
| What is the biggest clean and jerk number when snatch was less than 150 and the bodyweight was bigger than 93.13? | SELECT MAX("Clean & jerk") FROM table_11062 WHERE "Snatch" < '150' AND "Bodyweight" > '93.13' | SELECT MAX("Clean & jerk") FROM "table_11062" WHERE "Bodyweight" > '93.13' AND "Snatch" < '150' | 0.092773 |
CREATE TABLE table_37005 ("Player" CLOB, "Sacks" FLOAT, "INT'S" FLOAT, "Yards" FLOAT, "Average" FLOAT, "Long" CLOB)
| What is the lowest value of INT's with an average more than 25? | SELECT MIN("INT'S") FROM table_37005 WHERE "Average" > '25' | SELECT MIN("INT'S") FROM "table_37005" WHERE "Average" > '25' | 0.05957 |
CREATE TABLE table_15309 ("Club" CLOB, "Played" CLOB, "Drawn" CLOB, "Lost" CLOB, "Points for" CLOB, "Points against" CLOB, "Tries for" CLOB, "Tries against" CLOB, "Try bonus" CLOB)
| what is the club that as 100 tries? | SELECT "Club" FROM table_15309 WHERE "Tries for" = '100' | SELECT "Club" FROM "table_15309" WHERE "Tries for" = '100' | 0.056641 |
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 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 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 of the male patients were treated with fluc100? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.gender = "M" AND prescriptions.formulary_drug_cd = "FLUC100" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "FLUC100" = "prescriptions"."formulary_drug_cd" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "M" = "demographic"."gender" | 0.225586 |
CREATE TABLE table_1974482_1 (type VARCHAR2, institution VARCHAR2)
| Name the type for hobart college | SELECT type FROM table_1974482_1 WHERE institution = "Hobart College" | SELECT "type" FROM "table_1974482_1" WHERE "Hobart College" = "institution" | 0.073242 |
CREATE TABLE table_78903 ("Name" CLOB, "Pos." CLOB, "Height" CLOB, "Weight" CLOB, "Date of Birth" CLOB, "Club" CLOB)
| What is the name of the player from club Circolo Nautico Posillipo and a position of D? | SELECT "Name" FROM table_78903 WHERE "Pos." = 'd' AND "Club" = 'circolo nautico posillipo' | SELECT "Name" FROM "table_78903" WHERE "Club" = 'circolo nautico posillipo' AND "Pos." = 'd' | 0.089844 |
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)
| give me the number of patients whose admission year is less than 2139 and item id is 50911? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2139" AND lab.itemid = "50911" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "50911" = "lab"."itemid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2139" > "demographic"."admityear" | 0.189453 |
CREATE TABLE table_27616663_1 (result VARCHAR2, original_artist VARCHAR2)
| What was the result of the performance of the song by Caetano Veloso? | SELECT result FROM table_27616663_1 WHERE original_artist = "Caetano Veloso" | SELECT "result" FROM "table_27616663_1" WHERE "Caetano Veloso" = "original_artist" | 0.080078 |
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE 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 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 treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime 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)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
| when did patient 006-2586 have the maximum amount of mchc for the last time? | SELECT lab.labresulttime FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-2586')) AND lab.labname = 'mchc' ORDER BY lab.labresult DESC, lab.labresulttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '006-2586' 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"."labresulttime" FROM "lab" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = 'mchc' AND NOT "_u_1"."" IS NULL ORDER BY "lab"."labresult" DESC, "lab"."labresulttime" DESC FETCH FIRST 1 ROWS ONLY | 0.584961 |
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 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 medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
| how many hours has elapsed since the first time that patient 016-18575 took a volume (ml) fentanyl intake on the current icu visit? | SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', intakeoutput.intakeoutputtime)) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '016-18575') AND patient.unitdischargetime IS NULL) AND intakeoutput.celllabel = 'volume (ml) fentanyl' AND intakeoutput.cellpath LIKE '%intake%' ORDER BY intakeoutput.intakeoutputtime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '016-18575' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE "patient"."unitdischargetime" IS NULL AND NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "intakeoutput"."intakeoutputtime")) FROM "intakeoutput" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."celllabel" = 'volume (ml) fentanyl' AND "intakeoutput"."cellpath" LIKE '%intake%' AND NOT "_u_1"."" IS NULL ORDER BY "intakeoutput"."intakeoutputtime" FETCH FIRST 1 ROWS ONLY | 0.765625 |
CREATE TABLE table_11703 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| How many points did the home team score in the game that had the away team with a score of 13.18 (96)? | SELECT "Home team score" FROM table_11703 WHERE "Away team score" = '13.18 (96)' | SELECT "Home team score" FROM "table_11703" WHERE "Away team score" = '13.18 (96)' | 0.080078 |
CREATE TABLE table_9364 ("Date" CLOB, "Series" CLOB, "Circuit" CLOB, "City / State" CLOB, "Winner" CLOB, "Team" CLOB)
| What is Date, when Series is Amscar Round 3? | SELECT "Date" FROM table_9364 WHERE "Series" = 'amscar round 3' | SELECT "Date" FROM "table_9364" WHERE "Series" = 'amscar round 3' | 0.063477 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
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)
| provide the number of patients whose discharge location is short term hospital and age is less than 72? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.discharge_location = "SHORT TERM HOSPITAL" AND demographic.age < "72" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "72" > "demographic"."age" AND "SHORT TERM HOSPITAL" = "demographic"."discharge_location" | 0.160156 |
CREATE TABLE table_name_78 (elevated VARCHAR2, order VARCHAR2)
| What's listed for the Elevated category that has an Order of Cardinal-Bishop? | SELECT elevated FROM table_name_78 WHERE order = "cardinal-bishop" | SELECT "elevated" FROM "table_name_78" WHERE "cardinal-bishop" = "order" | 0.070313 |
CREATE TABLE table_23528223_2 (no_in_series VARCHAR2, directed_by VARCHAR2)
| What's the series number of the episode directed by Skipp Sudduth? | SELECT no_in_series FROM table_23528223_2 WHERE directed_by = "Skipp Sudduth" | SELECT "no_in_series" FROM "table_23528223_2" WHERE "Skipp Sudduth" = "directed_by" | 0.081055 |
CREATE TABLE table_2660 ("Performance comparison" CLOB, "78 Fury" CLOB, "78 Monaco" CLOB, "79 St. Regis" CLOB, "80 St. Regis" CLOB, "81 St. Regis" CLOB)
| What is every performance comparison if the value of 81 St. Regis is 114.7? | SELECT "Performance comparison" FROM table_2660 WHERE "81 St. Regis" = '114.7' | SELECT "Performance comparison" FROM "table_2660" WHERE "81 St. Regis" = '114.7' | 0.078125 |
CREATE TABLE table_name_91 (length_fuel VARCHAR2, floor_styling VARCHAR2, year_built VARCHAR2)
| What is the Length/Fuel of the bus built between 2000-2003 with a high Floor Styling? | SELECT length_fuel FROM table_name_91 WHERE floor_styling = "high" AND year_built = "2000-2003" | SELECT "length_fuel" FROM "table_name_91" WHERE "2000-2003" = "year_built" AND "floor_styling" = "high" | 0.100586 |
CREATE TABLE Timed_Locations_of_Things (thing_id NUMBER, Date_and_Time DATETIME, Location_Code CHAR)
CREATE TABLE Customer_Events (Customer_Event_ID NUMBER, customer_id NUMBER, date_moved_in DATETIME, property_id NUMBER, resident_id NUMBER, thing_id NUMBER)
CREATE TABLE Residents (resident_id NUMBER, property_id NUMBER, date_moved_in DATETIME, date_moved_out DATETIME, other_details VARCHAR2)
CREATE TABLE Organizations (organization_id NUMBER, parent_organization_id NUMBER, organization_details VARCHAR2)
CREATE TABLE Residents_Services (resident_id NUMBER, service_id NUMBER, date_moved_in DATETIME, property_id NUMBER, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR2)
CREATE TABLE Customer_Event_Notes (Customer_Event_Note_ID NUMBER, Customer_Event_ID NUMBER, service_type_code CHAR, resident_id NUMBER, property_id NUMBER, date_moved_in DATETIME)
CREATE TABLE Things (thing_id NUMBER, organization_id NUMBER, Type_of_Thing_Code CHAR, service_type_code CHAR, service_details VARCHAR2)
CREATE TABLE Services (service_id NUMBER, organization_id NUMBER, service_type_code CHAR, service_details VARCHAR2)
CREATE TABLE Properties (property_id NUMBER, property_type_code CHAR, property_address VARCHAR2, other_details VARCHAR2)
CREATE TABLE Customers (customer_id NUMBER, customer_details VARCHAR2)
CREATE TABLE Timed_Status_of_Things (thing_id NUMBER, Date_and_Date DATETIME, Status_of_Thing_Code CHAR)
| Bar chart x axis date moved in y axis how many date moved in, list in ascending by the y axis please. | SELECT date_moved_in, COUNT(date_moved_in) FROM Customer_Events ORDER BY COUNT(date_moved_in) | SELECT "date_moved_in", COUNT("date_moved_in") FROM "Customer_Events" ORDER BY COUNT("date_moved_in") | 0.098633 |
CREATE TABLE table_204_961 (id NUMBER, "title" CLOB, "director" CLOB, "production" CLOB, "music" CLOB, "cast" CLOB, "release date" CLOB)
| what film was released before devakanya ? | SELECT "title" FROM table_204_961 WHERE id = (SELECT id FROM table_204_961 WHERE "title" = 'devakanya') - 1 | SELECT "title" FROM "table_204_961" WHERE "id" = (SELECT "id" FROM "table_204_961" WHERE "title" = 'devakanya') - 1 | 0.112305 |
CREATE TABLE table_49878 ("Tie no" FLOAT, "Home team" CLOB, "Score" CLOB, "Away team" CLOB, "Date" CLOB)
| Who was the away team when the home team was Sunderland? | SELECT "Away team" FROM table_49878 WHERE "Home team" = 'sunderland' | SELECT "Away team" FROM "table_49878" WHERE "Home team" = 'sunderland' | 0.068359 |
CREATE TABLE table_28059992_5 (pick__number VARCHAR2, cfl_team VARCHAR2)
| What pick number was the player that was picked by Edmonton? | SELECT pick__number FROM table_28059992_5 WHERE cfl_team = "Edmonton" | SELECT "pick__number" FROM "table_28059992_5" WHERE "Edmonton" = "cfl_team" | 0.073242 |
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 PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
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 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 PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
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 TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense 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)
| High Reputation Users Who are Also Tenacious. | WITH total_users AS (SELECT tu_count = COUNT(*) FROM Users), users_rep_x AS (SELECT ru_count = COUNT(*) FROM Users AS u WHERE u.Reputation > 1000) SELECT DISTINCT (SELECT tu_count FROM total_users) AS "total_users", (SELECT ru_count FROM users_rep_x) AS "users_rep_>_x", CAST((CAST((SELECT ru_count FROM users_rep_x) AS FLOAT(10, 5)) / CAST(((SELECT tu_count FROM total_users) / 100) AS FLOAT(10, 5))) AS FLOAT(10, 5)) AS "repu_of_totu_in_%" FROM Users AS u WHERE u.Reputation > 2500 | WITH "total_users" AS (SELECT MAX(1) AS "_" FROM "Users"), "users_rep_x" AS (SELECT MAX(1) AS "_" FROM "Users" "u" WHERE "u"."Reputation" > 1000) SELECT DISTINCT (SELECT "tu_count" FROM "total_users") AS "total_users", (SELECT "ru_count" FROM "users_rep_x") AS "users_rep_>_x", CAST((SELECT "ru_count" FROM "users_rep_x") AS FLOAT(10, 5)) / NULLIF(CAST(((SELECT "tu_count" FROM "total_users") / NULLIF(100, 0)) AS FLOAT(10, 5)), 0) AS "repu_of_totu_in_%" FROM "Users" "u" WHERE "u"."Reputation" > 2500 | 0.489258 |
CREATE TABLE table_27601 ("#" FLOAT, "Name" CLOB, "Position" CLOB, "Height" CLOB, "Weight" FLOAT, "Year" CLOB, "Home Town" CLOB, "Last School" CLOB)
| Name the total number of height for number 32 | SELECT COUNT("Height") FROM table_27601 WHERE "#" = '32' | SELECT COUNT("Height") FROM "table_27601" WHERE "#" = '32' | 0.056641 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE 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)
| what is the minimum days of hospital stay of patients who were born after year 2064. | SELECT MIN(demographic.days_stay) FROM demographic WHERE demographic.dob_year > "2064" | SELECT MIN("demographic"."days_stay") FROM "demographic" WHERE "2064" < "demographic"."dob_year" | 0.09375 |
CREATE TABLE Organisations (organisation_id NUMBER, organisation_type VARCHAR2, organisation_details VARCHAR2)
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 Staff_Roles (role_code VARCHAR2, role_description VARCHAR2)
CREATE TABLE Projects (project_id NUMBER, organisation_id NUMBER, project_details VARCHAR2)
CREATE TABLE Project_Outcomes (project_id NUMBER, outcome_code VARCHAR2, outcome_details VARCHAR2)
CREATE TABLE Organisation_Types (organisation_type VARCHAR2, organisation_type_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 Research_Outcomes (outcome_code VARCHAR2, outcome_description 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 Document_Types (document_type_code VARCHAR2, document_description VARCHAR2)
CREATE TABLE Tasks (task_id NUMBER, project_id NUMBER, task_details VARCHAR2, "eg Agree Objectives" VARCHAR2)
| Display a pie chart for what are the ids and details for all organizations that have grants of more than 6000 dollars? | 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 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 cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
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 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 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)
| how many patients were tested until 2 years ago for sputum, tracheal specimen? | SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE patient.patientunitstayid IN (SELECT microlab.patientunitstayid FROM microlab WHERE microlab.culturesite = 'sputum, tracheal specimen' AND DATETIME(microlab.culturetakentime) <= DATETIME(CURRENT_TIME(), '-2 year')) | WITH "_u_0" AS (SELECT "microlab"."patientunitstayid" FROM "microlab" WHERE "microlab"."culturesite" = 'sputum, tracheal specimen' AND DATETIME("microlab"."culturetakentime") <= DATETIME(CURRENT_TIME(), '-2 year') GROUP BY "patientunitstayid") SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patientunitstayid" WHERE NOT "_u_0"."" IS NULL | 0.390625 |
CREATE TABLE table_26375386_23 (total VARCHAR2, vote_percentage VARCHAR2)
| What was the total number when the vote percentage was 44.8%? | SELECT COUNT(total) FROM table_26375386_23 WHERE vote_percentage = "44.8%" | SELECT COUNT("total") FROM "table_26375386_23" WHERE "44.8%" = "vote_percentage" | 0.078125 |
CREATE TABLE farm (Id VARCHAR2)
| How many farms are there? | SELECT COUNT(*) FROM farm | SELECT COUNT(*) FROM "farm" | 0.026367 |
CREATE TABLE table_name_39 (rank NUMBER, gold VARCHAR2, silver VARCHAR2)
| What is the highest rank for a nation with 26 golds and over 17 silvers? | SELECT MAX(rank) FROM table_name_39 WHERE gold = 26 AND silver > 17 | SELECT MAX("rank") FROM "table_name_39" WHERE "gold" = 26 AND "silver" > 17 | 0.073242 |
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
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 diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE 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 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 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)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
| has patient 23436 ever had any lab test on their current hospital visit? | SELECT COUNT(*) > 0 FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 23436 AND admissions.dischtime IS NULL) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."dischtime" IS NULL AND "admissions"."subject_id" = 23436 GROUP BY "hadm_id") SELECT COUNT(*) > 0 FROM "labevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "labevents"."hadm_id" WHERE NOT "_u_0"."" IS NULL | 0.279297 |
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime 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 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 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)
| when was the last lab test patient 006-168146 has received in 10/last year? | SELECT lab.labresulttime FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-168146')) AND DATETIME(lab.labresulttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m', lab.labresulttime) = '10' ORDER BY lab.labresulttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '006-168146' 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"."labresulttime" FROM "lab" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE 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") = '10' ORDER BY "lab"."labresulttime" DESC FETCH FIRST 1 ROWS ONLY | 0.688477 |
CREATE TABLE table_name_32 (name VARCHAR2, street_address VARCHAR2)
| Street Address of 401 n. wabash avenue involves what name? | SELECT name FROM table_name_32 WHERE street_address = "401 n. wabash avenue" | SELECT "name" FROM "table_name_32" WHERE "401 n. wabash avenue" = "street_address" | 0.080078 |
CREATE TABLE table_2562572_33 (type VARCHAR2, cyrillic_name_other_names VARCHAR2)
| What type of settlement is (hungarian: orom)? | SELECT type FROM table_2562572_33 WHERE cyrillic_name_other_names = "Ором (Hungarian: Orom)" | SELECT "type" FROM "table_2562572_33" WHERE "cyrillic_name_other_names" = "Ором (Hungarian: Orom)" | 0.095703 |
CREATE TABLE table_name_58 (pick VARCHAR2, player VARCHAR2, nfl_club VARCHAR2)
| Which Pick has a Player of chuck bryant, and an NFL Club of san diego chargers? | SELECT pick FROM table_name_58 WHERE player = "chuck bryant" AND nfl_club = "san diego chargers" | SELECT "pick" FROM "table_name_58" WHERE "chuck bryant" = "player" AND "nfl_club" = "san diego chargers" | 0.101563 |
CREATE TABLE table_name_82 (receptions VARCHAR2, avg_g VARCHAR2)
| How many times is avg/g 2? | SELECT COUNT(receptions) FROM table_name_82 WHERE avg_g = 2 | SELECT COUNT("receptions") FROM "table_name_82" WHERE "avg_g" = 2 | 0.063477 |
CREATE TABLE table_name_88 (branding VARCHAR2, frequency VARCHAR2)
| Tell me the branding for frequency of 680 khz | SELECT branding FROM table_name_88 WHERE frequency = "680 khz" | SELECT "branding" FROM "table_name_88" WHERE "680 khz" = "frequency" | 0.066406 |
CREATE TABLE table_56440 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| Where did a home team score 15.14 (104)? | SELECT "Venue" FROM table_56440 WHERE "Home team score" = '15.14 (104)' | SELECT "Venue" FROM "table_56440" WHERE "Home team score" = '15.14 (104)' | 0.071289 |
CREATE TABLE media_types (id VARCHAR2, name VARCHAR2)
CREATE TABLE genres (id VARCHAR2, name VARCHAR2)
CREATE TABLE tracks (name VARCHAR2, genre_id VARCHAR2, media_type_id VARCHAR2)
| List the name of tracks belongs to genre Rock or media type is MPEG audio file. | SELECT T2.name FROM genres AS T1 JOIN tracks AS T2 ON T1.id = T2.genre_id JOIN media_types AS T3 ON T3.id = T2.media_type_id WHERE T1.name = "Rock" OR T3.name = "MPEG audio file" | SELECT "T2"."name" FROM "genres" "T1" JOIN "tracks" "T2" ON "T1"."id" = "T2"."genre_id" JOIN "media_types" "T3" ON ("MPEG audio file" = "T3"."name" OR "Rock" = "T1"."name") AND "T2"."media_type_id" = "T3"."id" | 0.204102 |
CREATE TABLE farm (farm_id NUMBER, year NUMBER, total_horses NUMBER, working_horses NUMBER, total_cattle NUMBER, oxen NUMBER, bulls NUMBER, cows NUMBER, pigs NUMBER, sheep_and_goats NUMBER)
CREATE TABLE city (city_id NUMBER, official_name CLOB, status CLOB, area_km_2 NUMBER, population NUMBER, census_ranking CLOB)
CREATE TABLE competition_record (competition_id NUMBER, farm_id NUMBER, rank NUMBER)
CREATE TABLE farm_competition (competition_id NUMBER, year NUMBER, theme CLOB, host_city_id NUMBER, hosts CLOB)
| List the most common type of Status across cities. | SELECT status FROM city GROUP BY status ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "status" FROM "city" GROUP BY "status" ORDER BY COUNT(*) DESC FETCH FIRST 1 ROWS ONLY | 0.089844 |
CREATE TABLE Dorm (dormid NUMBER, dorm_name VARCHAR2, student_capacity NUMBER, gender VARCHAR2)
CREATE TABLE Dorm_amenity (amenid NUMBER, amenity_name VARCHAR2)
CREATE TABLE Lives_in (stuid NUMBER, dormid NUMBER, room_number NUMBER)
CREATE TABLE Student (StuID NUMBER, LName VARCHAR2, Fname VARCHAR2, Age NUMBER, Sex VARCHAR2, Major NUMBER, Advisor NUMBER, city_code VARCHAR2)
CREATE TABLE Has_amenity (dormid NUMBER, amenid NUMBER)
| Find the average age of students living in each dorm and the name of dorm. Plot them as bar chart. | SELECT dorm_name, AVG(T1.Age) FROM Student AS T1 JOIN Lives_in AS T2 ON T1.stuid = T2.stuid JOIN Dorm AS T3 ON T3.dormid = T2.dormid GROUP BY T3.dorm_name | SELECT "dorm_name", AVG("T1"."Age") FROM "Student" "T1" JOIN "Lives_in" "T2" ON "T1"."stuid" = "T2"."stuid" JOIN "Dorm" "T3" ON "T2"."dormid" = "T3"."dormid" GROUP BY "T3"."dorm_name" | 0.178711 |
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)
| what is the death status and the number of days of hospital stay of the patient named robert clayton? | SELECT demographic.days_stay, demographic.expire_flag FROM demographic WHERE demographic.name = "Robert Clayton" | SELECT "demographic"."days_stay", "demographic"."expire_flag" FROM "demographic" WHERE "Robert Clayton" = "demographic"."name" | 0.123047 |
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 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)
| what is the number of patients with procedure icd9 code 4341 who belong to black/cape verdean ethnic background? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.ethnicity = "BLACK/CAPE VERDEAN" AND procedures.icd9_code = "4341" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "4341" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "BLACK/CAPE VERDEAN" = "demographic"."ethnicity" | 0.225586 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| count the number of patients whose days of hospital stay is greater than 10 and lab test fluid is joint fluid? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.days_stay > "10" AND lab.fluid = "Joint Fluid" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Joint Fluid" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "10" < "demographic"."days_stay" | 0.192383 |
CREATE TABLE table_2064 ("Role" CLOB, "Original Broadway Cast" CLOB, "Current Broadway Cast" CLOB, "Original Toronto Cast" CLOB, "First National Tour Cast" CLOB, "Original Australian Cast" CLOB, "Original West End Cast" CLOB, "Current West End Cast" CLOB, "Second National Tour Cast" CLOB, "Second National Tour Year 2" CLOB)
| Who in the original Toronto cast played the character played by Kate Rockwell in the current Broadway cast? | SELECT "Original Toronto Cast" FROM table_2064 WHERE "Current Broadway Cast" = 'Kate Rockwell' | SELECT "Original Toronto Cast" FROM "table_2064" WHERE "Current Broadway Cast" = 'Kate Rockwell' | 0.09375 |
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE 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 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 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 microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
| what was the medication that patient 021-50282 was prescribed for in the same day after receiving anticonvulsant - phenytoin until 11 months ago? | SELECT t2.drugname FROM (SELECT patient.uniquepid, treatment.treatmenttime FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '021-50282') AND treatment.treatmentname = 'anticonvulsant - phenytoin' AND DATETIME(treatment.treatmenttime) <= DATETIME(CURRENT_TIME(), '-11 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 = '021-50282') AND DATETIME(medication.drugstarttime) <= DATETIME(CURRENT_TIME(), '-11 month')) AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.treatmenttime < t2.drugstarttime AND DATETIME(t1.treatmenttime, 'start of day') = DATETIME(t2.drugstarttime, 'start of day') | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '021-50282' 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(), '-11 month') AND NOT "_u_1"."" IS NULL) SELECT "t2"."drugname" FROM "treatment" JOIN "patient" ON "patient"."patientunitstayid" = "treatment"."patientunitstayid" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" JOIN "t2" "t2" ON "patient"."uniquepid" = "t2"."uniquepid" AND "t2"."drugstarttime" > "treatment"."treatmenttime" AND DATETIME("t2"."drugstarttime", 'start of day') = DATETIME("treatment"."treatmenttime", 'start of day') WHERE "treatment"."treatmentname" = 'anticonvulsant - phenytoin' AND DATETIME("treatment"."treatmenttime") <= DATETIME(CURRENT_TIME(), '-11 month') AND NOT "_u_0"."" IS NULL | 1.107422 |
CREATE TABLE table_13854 ("Date" CLOB, "Label" CLOB, "Format" CLOB, "Country" CLOB, "Catalog" CLOB)
| What format was the release in form the Edsel label, and that was from the EDCD 262 catalog? | SELECT "Format" FROM table_13854 WHERE "Label" = 'edsel' AND "Catalog" = 'edcd 262' | SELECT "Format" FROM "table_13854" WHERE "Catalog" = 'edcd 262' AND "Label" = 'edsel' | 0.083008 |
CREATE TABLE table_22171978_1 (athletic_nickname VARCHAR2, location VARCHAR2)
| For the location of quezon city , metro manila what is the athletic nickname? | SELECT athletic_nickname FROM table_22171978_1 WHERE location = "Quezon City , Metro Manila" | SELECT "athletic_nickname" FROM "table_22171978_1" WHERE "Quezon City , Metro Manila" = "location" | 0.095703 |
CREATE TABLE table_name_2 (date VARCHAR2, away_team VARCHAR2)
| What is Date, when Away Team is 'Gillingham'? | SELECT date FROM table_name_2 WHERE away_team = "gillingham" | SELECT "date" FROM "table_name_2" WHERE "away_team" = "gillingham" | 0.064453 |
CREATE TABLE table_5075 ("Match" FLOAT, "League" CLOB, "Date & Time ( CET ) " CLOB, "Arena" CLOB, "Team and Score" CLOB, "Result" CLOB)
| What was the result at A Arena, the SL league, and a match number over 16? | SELECT "Result" FROM table_5075 WHERE "Arena" = 'a' AND "League" = 'sl' AND "Match" > '16' | SELECT "Result" FROM "table_5075" WHERE "Arena" = 'a' AND "League" = 'sl' AND "Match" > '16' | 0.089844 |
CREATE TABLE table_35896 ("Order" FLOAT, "Episode" CLOB, "Air Date" CLOB, "U.S. Timeslot ( EST ) " CLOB, "18-49" FLOAT, "Viewers" FLOAT)
| What is the total 18-49 for the episode that aired on July 2, 2009 with more than 3.5 viewers? | SELECT COUNT("18-49") FROM table_35896 WHERE "Air Date" = 'july 2, 2009' AND "Viewers" > '3.5' | SELECT COUNT("18-49") FROM "table_35896" WHERE "Air Date" = 'july 2, 2009' AND "Viewers" > '3.5' | 0.09375 |
CREATE TABLE Activity (actid NUMBER, activity_name VARCHAR2)
CREATE TABLE Student (StuID NUMBER, LName VARCHAR2, Fname VARCHAR2, Age NUMBER, Sex VARCHAR2, Major NUMBER, Advisor NUMBER, city_code VARCHAR2)
CREATE TABLE Faculty_Participates_in (FacID NUMBER, actid NUMBER)
CREATE TABLE Faculty (FacID NUMBER, Lname VARCHAR2, Fname VARCHAR2, Rank VARCHAR2, Sex VARCHAR2, Phone NUMBER, Room VARCHAR2, Building VARCHAR2)
CREATE TABLE Participates_in (stuid NUMBER, actid NUMBER)
| Show me a bar chart for how many faculty members does each building have? List the result with the name of the building, list by the X from low to high. | SELECT Building, COUNT(*) FROM Faculty GROUP BY Building ORDER BY Building | SELECT "Building", COUNT(*) FROM "Faculty" GROUP BY "Building" ORDER BY "Building" | 0.080078 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| what is the number of patients whose item id is 51259 and lab test abnormal status is abnormal? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE lab.itemid = "51259" AND lab.flag = "abnormal" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "51259" = "lab"."itemid" AND "abnormal" = "lab"."flag" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.178711 |
CREATE TABLE table_30611 ("Callsign" CLOB, "City of license" CLOB, "Virtual channel" CLOB, "Digital channel" CLOB, "Network" CLOB)
| What city licensed the broadcast on virtual channel 8.2? | SELECT "City of license" FROM table_30611 WHERE "Virtual channel" = '8.2' | SELECT "City of license" FROM "table_30611" WHERE "Virtual channel" = '8.2' | 0.073242 |
CREATE TABLE table_name_68 (opponent VARCHAR2, edition VARCHAR2)
| Who is the opponent for the 1985 World Group i edition? | SELECT opponent FROM table_name_68 WHERE edition = "1985 world group i" | SELECT "opponent" FROM "table_name_68" WHERE "1985 world group i" = "edition" | 0.075195 |
CREATE TABLE table_name_22 (try_bonus VARCHAR2, club VARCHAR2)
| What is the try bonus that has llangefni rfc as the club? | SELECT try_bonus FROM table_name_22 WHERE club = "llangefni rfc" | SELECT "try_bonus" FROM "table_name_22" WHERE "club" = "llangefni rfc" | 0.068359 |
CREATE TABLE table_name_43 (league_goals NUMBER, league_cup_goals VARCHAR2, position VARCHAR2, total_goals VARCHAR2)
| What is the lowest league goals that has fw as the position, total goals greater than 9, with league cup goals greater than 4? | SELECT MIN(league_goals) FROM table_name_43 WHERE position = "fw" AND total_goals > 9 AND league_cup_goals > 4 | SELECT MIN("league_goals") FROM "table_name_43" WHERE "fw" = "position" AND "league_cup_goals" > 4 AND "total_goals" > 9 | 0.117188 |
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)
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)
| How many patients discharged to skilled nursing facility have aortic insufficiency/re-do sternotomy aortic valve replacement as their primary disease? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.discharge_location = "SNF" AND demographic.diagnosis = "AORTIC INSUFFICIENCY\RE-DO STERNOTOMY; AORTIC VALVE REPLACEMENT " | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "AORTIC INSUFFICIENCY\RE-DO STERNOTOMY; AORTIC VALVE REPLACEMENT " = "demographic"."diagnosis" AND "SNF" = "demographic"."discharge_location" | 0.212891 |
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 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 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 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 vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
| during this year has patient 030-34260 received any diagnoses? | SELECT COUNT(*) > 0 FROM diagnosis WHERE diagnosis.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '030-34260')) AND DATETIME(diagnosis.diagnosistime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '030-34260' 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 COUNT(*) > 0 FROM "diagnosis" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "diagnosis"."patientunitstayid" WHERE DATETIME("diagnosis"."diagnosistime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "_u_1"."" IS NULL | 0.589844 |
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)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
| For all employees who have the letters D or S in their first name, give me the comparison about the average of salary over the job_id , and group by attribute job_id by a bar chart, and show y axis in descending order. | SELECT JOB_ID, AVG(SALARY) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID ORDER BY AVG(SALARY) DESC | SELECT "JOB_ID", AVG("SALARY") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' GROUP BY "JOB_ID" ORDER BY AVG("SALARY") DESC | 0.146484 |
CREATE TABLE table_1226250_1 (prothrombin_time VARCHAR2, bleeding_time VARCHAR2, partial_thromboplastin_time VARCHAR2)
| Is prothrombin time long when thromboplastin is prolonged? | SELECT prothrombin_time FROM table_1226250_1 WHERE bleeding_time = "Prolonged" AND partial_thromboplastin_time = "Prolonged" | SELECT "prothrombin_time" FROM "table_1226250_1" WHERE "Prolonged" = "bleeding_time" AND "Prolonged" = "partial_thromboplastin_time" | 0.128906 |
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
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 SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE 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 PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId 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 PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name 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 TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
| rep from bounty for user. | SELECT v.CreationDate, v.BountyAmount FROM Votes AS v RIGHT JOIN Posts AS p ON v.PostId = p.Id WHERE VoteTypeId IN (8, 9) AND OwnerUserId = '##UserID##' | SELECT "v"."CreationDate", "v"."BountyAmount" FROM "Votes" "v" RIGHT JOIN "Posts" "p" ON "p"."Id" = "v"."PostId" WHERE "OwnerUserId" = '##UserID##' AND "VoteTypeId" IN (8, 9) | 0.169922 |
CREATE TABLE student_addresses (student_id NUMBER, address_id NUMBER, date_address_from TIME, date_address_to TIME, monthly_rental NUMBER, other_details CLOB)
CREATE TABLE assessment_notes (notes_id NUMBER, student_id NUMBER, teacher_id NUMBER, date_of_notes TIME, text_of_notes CLOB, other_details CLOB)
CREATE TABLE ref_address_types (address_type_code CLOB, address_type_description CLOB)
CREATE TABLE behavior_incident (incident_id NUMBER, incident_type_code CLOB, student_id NUMBER, date_incident_start TIME, date_incident_end TIME, incident_summary CLOB, recommendations CLOB, other_details CLOB)
CREATE TABLE teachers (teacher_id NUMBER, address_id NUMBER, first_name CLOB, middle_name CLOB, last_name CLOB, gender CLOB, cell_mobile_number CLOB, email_address CLOB, other_details CLOB)
CREATE TABLE ref_incident_type (incident_type_code CLOB, incident_type_description CLOB)
CREATE TABLE addresses (address_id NUMBER, line_1 CLOB, line_2 CLOB, line_3 CLOB, city CLOB, zip_postcode CLOB, state_province_county CLOB, country CLOB, other_address_details CLOB)
CREATE TABLE students (student_id NUMBER, address_id NUMBER, first_name CLOB, middle_name CLOB, last_name CLOB, cell_mobile_number CLOB, email_address CLOB, date_first_rental TIME, date_left_university TIME, other_student_details CLOB)
CREATE TABLE detention (detention_id NUMBER, detention_type_code CLOB, teacher_id NUMBER, datetime_detention_start TIME, datetime_detention_end TIME, detention_summary CLOB, other_details CLOB)
CREATE TABLE ref_detention_type (detention_type_code CLOB, detention_type_description CLOB)
CREATE TABLE students_in_detention (student_id NUMBER, detention_id NUMBER, incident_id NUMBER)
| What is the zip code of the address where the teacher with first name 'Lyla' lives? | SELECT T1.zip_postcode FROM addresses AS T1 JOIN teachers AS T2 ON T1.address_id = T2.address_id WHERE T2.first_name = "Lyla" | SELECT "T1"."zip_postcode" FROM "addresses" "T1" JOIN "teachers" "T2" ON "Lyla" = "T2"."first_name" AND "T1"."address_id" = "T2"."address_id" | 0.137695 |
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 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 lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| provide the number of patients whose primary disease is s/p fall and lab test fluid is ascites? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.diagnosis = "S/P FALL" AND lab.fluid = "Ascites" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Ascites" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "S/P FALL" = "demographic"."diagnosis" | 0.194336 |
CREATE TABLE table_name_89 (overall NUMBER, player VARCHAR2, round VARCHAR2)
| Name the most overall for james davis and round more than 5 | SELECT MAX(overall) FROM table_name_89 WHERE player = "james davis" AND round > 5 | SELECT MAX("overall") FROM "table_name_89" WHERE "james davis" = "player" AND "round" > 5 | 0.086914 |
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE 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 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 jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
| Physiology Masters Research Project will be offered at what times ? | SELECT DISTINCT course_offering.end_time, course_offering.friday, course_offering.monday, course_offering.saturday, course_offering.start_time, course_offering.sunday, course_offering.thursday, course_offering.tuesday, course_offering.wednesday FROM semester INNER JOIN course_offering ON semester.semester_id = course_offering.semester INNER JOIN course ON course.course_id = course_offering.course_id WHERE course.name LIKE '%Physiology Masters Research Project%' AND semester.semester = 'FA' AND semester.year = 2016 | SELECT DISTINCT "course_offering"."end_time", "course_offering"."friday", "course_offering"."monday", "course_offering"."saturday", "course_offering"."start_time", "course_offering"."sunday", "course_offering"."thursday", "course_offering"."tuesday", "course_offering"."wednesday" FROM "semester" JOIN "course_offering" ON "course_offering"."semester" = "semester"."semester_id" JOIN "course" ON "course"."course_id" = "course_offering"."course_id" AND "course"."name" LIKE '%Physiology Masters Research Project%' WHERE "semester"."semester" = 'FA' AND "semester"."year" = 2016 | 0.563477 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| how many patients were diagnosed with an unspecified disorder of kidney and ureter and treated with a main drug type? | 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.long_title = "Unspecified disorder of kidney and ureter" AND prescriptions.drug_type = "MAIN" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Unspecified disorder of kidney and ureter" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "MAIN" = "prescriptions"."drug_type" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.320313 |
CREATE TABLE table_72 ("County" CLOB, "Precincts" FLOAT, "Lunsford" FLOAT, "% Lunsford" CLOB, "McConnell" FLOAT, "% McConnell" CLOB, "Total" CLOB)
| When % mcconnell is 44.54% what are the total number of counties? | SELECT COUNT("County") FROM table_72 WHERE "% McConnell" = '44.54%' | SELECT COUNT("County") FROM "table_72" WHERE "% McConnell" = '44.54%' | 0.067383 |
CREATE TABLE table_2857352_3 (digital_channel VARCHAR2, virtual_channel VARCHAR2)
| What digital channel corresponds to virtual channel 5.2? | SELECT digital_channel FROM table_2857352_3 WHERE virtual_channel = "5.2" | SELECT "digital_channel" FROM "table_2857352_3" WHERE "5.2" = "virtual_channel" | 0.077148 |
CREATE TABLE table_15687 ("Kanji" CLOB, "Name" CLOB, "Builder" CLOB, "Laid down" CLOB, "Launched" CLOB, "Completed" CLOB)
| What is the date the Fubuki ship laid down? | SELECT "Laid down" FROM table_15687 WHERE "Name" = 'fubuki' | SELECT "Laid down" FROM "table_15687" WHERE "Name" = 'fubuki' | 0.05957 |
CREATE TABLE table_59864 ("Atomic property" CLOB, "Helium" CLOB, "Neon" CLOB, "Argon" CLOB, "Krypton" CLOB, "Xenon" CLOB, "Radon" CLOB)
| Which Krypton has Neon of 10? | SELECT "Krypton" FROM table_59864 WHERE "Neon" = '10' | SELECT "Krypton" FROM "table_59864" WHERE "Neon" = '10' | 0.053711 |
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE course (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 jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
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 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 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 instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
| Any other teacher teach 504 other than Prof. Nathaniel Marshall ? | SELECT DISTINCT instructor.name FROM course, course_offering, instructor, offering_instructor WHERE course.course_id = course_offering.course_id AND course.department = 'EECS' AND course.number = 504 AND NOT instructor.name LIKE '%Nathaniel Marshall%' AND offering_instructor.instructor_id = instructor.instructor_id AND offering_instructor.offering_id = course_offering.offering_id | SELECT DISTINCT "instructor"."name" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "offering_instructor" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" AND NOT "instructor"."name" LIKE '%Nathaniel Marshall%' WHERE "course"."department" = 'EECS' AND "course"."number" = 504 | 0.428711 |
CREATE TABLE table_name_11 (visitor VARCHAR2, home VARCHAR2, date VARCHAR2)
| Who were the Visitor of the Toronto Maple Leafs Home game on December 22? | SELECT visitor FROM table_name_11 WHERE home = "toronto maple leafs" AND date = "december 22" | SELECT "visitor" FROM "table_name_11" WHERE "date" = "december 22" AND "home" = "toronto maple leafs" | 0.098633 |
CREATE TABLE allergy_type (allergy CLOB, allergytype CLOB)
CREATE TABLE has_allergy (stuid NUMBER, allergy CLOB)
CREATE TABLE student (stuid NUMBER, lname CLOB, fname CLOB, age NUMBER, sex CLOB, major NUMBER, advisor NUMBER, city_code CLOB)
| What are the student ids for students over 20 years old? | SELECT stuid FROM student WHERE age > 20 | SELECT "stuid" FROM "student" WHERE "age" > 20 | 0.044922 |
CREATE TABLE table_47525 ("Name" CLOB, "Born-Died" CLOB, "Term start" CLOB, "Term end" CLOB, "Political Party" CLOB)
| When did Ismail Qemali Bej's term start? | SELECT "Term start" FROM table_47525 WHERE "Name" = 'ismail qemali bej' | SELECT "Term start" FROM "table_47525" WHERE "Name" = 'ismail qemali bej' | 0.071289 |
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