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CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE 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 treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
| what is the percentile of the alt (sgpt) value of 874.0 among patient 015-21757's of the same age as the patient during the last hospital encounter? | SELECT DISTINCT t1.c1 FROM (SELECT lab.labresult, PERCENT_RANK() OVER (ORDER BY lab.labresult) AS c1 FROM lab WHERE lab.labname = 'alt (sgpt)' AND lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.age = (SELECT patient.age FROM patient WHERE patient.uniquepid = '015-21757' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime DESC LIMIT 1))) AS t1 WHERE t1.labresult = 874.0 | WITH "_u_0" AS (SELECT "patient"."age" FROM "patient" WHERE "patient"."uniquepid" = '015-21757' AND NOT "patient"."hospitaldischargetime" IS NULL ORDER BY "patient"."hospitaladmittime" DESC FETCH FIRST 1 ROWS ONLY), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" JOIN "_u_0" "_u_0" ON "_u_0"."age" = "patient"."age" GROUP BY "patientunitstayid") SELECT DISTINCT PERCENT_RANK() OVER (ORDER BY "lab"."labresult") FROM "lab" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = 'alt (sgpt)' AND "lab"."labresult" = 874.0 AND NOT "_u_1"."" IS NULL | 0.581055 |
CREATE TABLE table_55049 ("Name" CLOB, "Model" CLOB, "Park" CLOB, "Opened" CLOB, "Status" CLOB)
| What is the name of the coaster that opened in 2011 and is a euro-fighter model? | SELECT "Name" FROM table_55049 WHERE "Model" = 'euro-fighter' AND "Opened" = '2011' | SELECT "Name" FROM "table_55049" WHERE "Model" = 'euro-fighter' AND "Opened" = '2011' | 0.083008 |
CREATE TABLE table_4103 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" CLOB, "Director" CLOB, "Writer ( s ) " CLOB, "Original air date" CLOB, "Production code" CLOB, "U.S. Viewers ( million ) " CLOB)
| Who directed episode 11 of the season? | SELECT "Director" FROM table_4103 WHERE "No. in season" = '11' | SELECT "Director" FROM "table_4103" WHERE "No. in season" = '11' | 0.0625 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| find the number of medicare health insurance patients who have body mass index less than 19, adult diagnoses. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.insurance = "Medicare" AND diagnoses.long_title = "Body Mass Index less than 19, adult" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Body Mass Index less than 19, adult" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "Medicare" = "demographic"."insurance" | 0.244141 |
CREATE TABLE table_18299148_1 (Missions VARCHAR2, notability VARCHAR2)
| How many missions countries have notability with president of burundi? | SELECT COUNT(Missions) AS country FROM table_18299148_1 WHERE notability = "President of Burundi" | SELECT COUNT("Missions") AS "country" FROM "table_18299148_1" WHERE "President of Burundi" = "notability" | 0.102539 |
CREATE TABLE Bookings (Booking_ID NUMBER, Customer_ID NUMBER, Workshop_Group_ID VARCHAR2, Status_Code CHAR, Store_ID NUMBER, Order_Date DATETIME, Planned_Delivery_Date DATETIME, Actual_Delivery_Date DATETIME, Other_Order_Details VARCHAR2)
CREATE TABLE Invoices (Invoice_ID NUMBER, Order_ID NUMBER, payment_method_code CHAR, Product_ID NUMBER, Order_Quantity VARCHAR2, Other_Item_Details VARCHAR2, Order_Item_ID NUMBER)
CREATE TABLE Performers_in_Bookings (Order_ID NUMBER, Performer_ID NUMBER)
CREATE TABLE Clients (Client_ID NUMBER, Address_ID NUMBER, Customer_Email_Address VARCHAR2, Customer_Name VARCHAR2, Customer_Phone VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Customer_Orders (Order_ID NUMBER, Customer_ID NUMBER, Store_ID NUMBER, Order_Date DATETIME, Planned_Delivery_Date DATETIME, Actual_Delivery_Date DATETIME, Other_Order_Details VARCHAR2)
CREATE TABLE Ref_Payment_Methods (payment_method_code CHAR, payment_method_description VARCHAR2)
CREATE TABLE Stores (Store_ID VARCHAR2, Address_ID NUMBER, Marketing_Region_Code CHAR, Store_Name VARCHAR2, Store_Phone VARCHAR2, Store_Email_Address VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Services (Service_ID NUMBER, Service_Type_Code CHAR, Workshop_Group_ID NUMBER, Product_Description VARCHAR2, Product_Name VARCHAR2, Product_Price NUMBER, Other_Product_Service_Details VARCHAR2)
CREATE TABLE Marketing_Regions (Marketing_Region_Code CHAR, Marketing_Region_Name VARCHAR2, Marketing_Region_Descriptrion VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Invoice_Items (Invoice_Item_ID NUMBER, Invoice_ID NUMBER, Order_ID NUMBER, Order_Item_ID NUMBER, Product_ID NUMBER, Order_Quantity NUMBER, Other_Item_Details VARCHAR2)
CREATE TABLE Addresses (Address_ID VARCHAR2, Line_1 VARCHAR2, Line_2 VARCHAR2, City_Town VARCHAR2, State_County VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Customers (Customer_ID VARCHAR2, Address_ID NUMBER, Customer_Name VARCHAR2, Customer_Phone VARCHAR2, Customer_Email_Address VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Products (Product_ID VARCHAR2, Product_Name VARCHAR2, Product_Price NUMBER, Product_Description VARCHAR2, Other_Product_Service_Details VARCHAR2)
CREATE TABLE Bookings_Services (Order_ID NUMBER, Product_ID NUMBER)
CREATE TABLE Ref_Service_Types (Service_Type_Code CHAR, Parent_Service_Type_Code CHAR, Service_Type_Description VARCHAR2)
CREATE TABLE Order_Items (Order_Item_ID NUMBER, Order_ID NUMBER, Product_ID NUMBER, Order_Quantity VARCHAR2, Other_Item_Details VARCHAR2)
CREATE TABLE Performers (Performer_ID NUMBER, Address_ID NUMBER, Customer_Name VARCHAR2, Customer_Phone VARCHAR2, Customer_Email_Address VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Drama_Workshop_Groups (Workshop_Group_ID NUMBER, Address_ID NUMBER, Currency_Code CHAR, Marketing_Region_Code CHAR, Store_Name VARCHAR2, Store_Phone VARCHAR2, Store_Email_Address VARCHAR2, Other_Details VARCHAR2)
| Show all payment method codes and the number of orders for each code Show bar chart, display in ascending by the names. | SELECT payment_method_code, COUNT(*) FROM Invoices GROUP BY payment_method_code ORDER BY payment_method_code | SELECT "payment_method_code", COUNT(*) FROM "Invoices" GROUP BY "payment_method_code" ORDER BY "payment_method_code" | 0.113281 |
CREATE TABLE table_49233 ("Tournament" CLOB, "Surface" CLOB, "Week" CLOB, "Winner and score" CLOB, "Finalist" CLOB, "Semifinalists" CLOB)
| For the week of August 6, who is the finalist? | SELECT "Finalist" FROM table_49233 WHERE "Week" = 'august 6' | SELECT "Finalist" FROM "table_49233" WHERE "Week" = 'august 6' | 0.060547 |
CREATE TABLE table_32436 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| On what date was there both a crowd larger than 16,570 and the away team was Footscray? | SELECT "Date" FROM table_32436 WHERE "Crowd" > '16,570' AND "Away team" = 'footscray' | SELECT "Date" FROM "table_32436" WHERE "Away team" = 'footscray' AND "Crowd" > '16,570' | 0.084961 |
CREATE TABLE county_public_safety (County_ID NUMBER, Name CLOB, Population NUMBER, Police_officers NUMBER, Residents_per_officer NUMBER, Case_burden NUMBER, Crime_rate FLOAT, Police_force CLOB, Location CLOB)
CREATE TABLE city (City_ID NUMBER, County_ID NUMBER, Name CLOB, White FLOAT, Black FLOAT, Amerindian FLOAT, Asian FLOAT, Multiracial FLOAT, Hispanic FLOAT)
| Create a bar chart showing the total number across police force, order by the Y in descending. | SELECT Police_force, COUNT(*) FROM county_public_safety GROUP BY Police_force ORDER BY COUNT(*) DESC | SELECT "Police_force", COUNT(*) FROM "county_public_safety" GROUP BY "Police_force" ORDER BY COUNT(*) DESC | 0.103516 |
CREATE TABLE table_60238 ("Commercial balance" CLOB, "2003" FLOAT, "2004" FLOAT, "2005" FLOAT, "2006" FLOAT)
| Which 2005 has a 2003 of -13,25, and a 2004 smaller than -8,37? | SELECT MIN("2005") FROM table_60238 WHERE "2003" = '-13,25' AND "2004" < '-8,37' | SELECT MIN("2005") FROM "table_60238" WHERE "2003" = '-13,25' AND "2004" < '-8,37' | 0.080078 |
CREATE TABLE transactions (transaction_id NUMBER, investor_id NUMBER, transaction_type_code CLOB, date_of_transaction TIME, amount_of_transaction NUMBER, share_count CLOB, other_details CLOB)
CREATE TABLE purchases (purchase_transaction_id NUMBER, purchase_details CLOB)
CREATE TABLE lots (lot_id NUMBER, investor_id NUMBER, lot_details CLOB)
CREATE TABLE transactions_lots (transaction_id NUMBER, lot_id NUMBER)
CREATE TABLE ref_transaction_types (transaction_type_code CLOB, transaction_type_description CLOB)
CREATE TABLE sales (sales_transaction_id NUMBER, sales_details CLOB)
CREATE TABLE investors (investor_id NUMBER, investor_details CLOB)
| Show the average share count of transactions each each investor, ordered by average share count. | SELECT investor_id, AVG(share_count) FROM transactions GROUP BY investor_id ORDER BY AVG(share_count) | SELECT "investor_id", AVG("share_count") FROM "transactions" GROUP BY "investor_id" ORDER BY AVG("share_count") | 0.108398 |
CREATE TABLE table_13689 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Attendance" CLOB)
| What is the date when the result was l 37-3? | SELECT "Date" FROM table_13689 WHERE "Result" = 'l 37-3' | SELECT "Date" FROM "table_13689" WHERE "Result" = 'l 37-3' | 0.056641 |
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
| has there been any organism found in the last sputum, tracheal specimen microbiological test of patient 031-17834 in 2105? | SELECT COUNT(*) > 0 FROM microlab WHERE microlab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '031-17834')) AND microlab.culturesite = 'sputum, tracheal specimen' AND STRFTIME('%y', microlab.culturetakentime) = '2105' ORDER BY microlab.culturetakentime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '031-17834' 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 "microlab" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "microlab"."patientunitstayid" WHERE "microlab"."culturesite" = 'sputum, tracheal specimen' AND NOT "_u_1"."" IS NULL AND STRFTIME('%y', "microlab"."culturetakentime") = '2105' ORDER BY "microlab"."culturetakentime" DESC FETCH FIRST 1 ROWS ONLY | 0.658203 |
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)
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)
| Find the patients aged less than 64 years old with procedure icd9 code 4311. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.age < "64" AND procedures.icd9_code = "4311" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "4311" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "64" > "demographic"."age" | 0.204102 |
CREATE TABLE table_45164 ("Game" FLOAT, "March" FLOAT, "Opponent" CLOB, "Score" CLOB, "Record" CLOB)
| When was the earliest game date in March where the match ended with a record of 25-29-10? | SELECT MIN("March") FROM table_45164 WHERE "Record" = '25-29-10' | SELECT MIN("March") FROM "table_45164" WHERE "Record" = '25-29-10' | 0.064453 |
CREATE TABLE table_15995 ("Position" FLOAT, "Driver" CLOB, "Points" FLOAT, "Winnings" CLOB, "Series" CLOB)
| what's the points with driver mark martin | SELECT "Points" FROM table_15995 WHERE "Driver" = 'Mark Martin' | SELECT "Points" FROM "table_15995" WHERE "Driver" = 'Mark Martin' | 0.063477 |
CREATE TABLE table_name_64 (name VARCHAR2, time VARCHAR2, nationality VARCHAR2, heat VARCHAR2, rank VARCHAR2)
| what is the name when the heat is less than 3, the rank is less than 18, the nationality is east germany and the time is 2:35.31? | SELECT name FROM table_name_64 WHERE heat < 3 AND rank < 18 AND nationality = "east germany" AND time = "2:35.31" | SELECT "name" FROM "table_name_64" WHERE "2:35.31" = "time" AND "east germany" = "nationality" AND "heat" < 3 AND "rank" < 18 | 0.12207 |
CREATE TABLE table_name_79 (attendance VARCHAR2, opponent VARCHAR2)
| How many people attended in the game against morton? | SELECT attendance FROM table_name_79 WHERE opponent = "morton" | SELECT "attendance" FROM "table_name_79" WHERE "morton" = "opponent" | 0.066406 |
CREATE TABLE table_9674 ("Date" CLOB, "Opponents" CLOB, "H / A" CLOB, "Result F \\u2013 A" CLOB, "Attendance" FLOAT, "League position" CLOB)
| What date was Notts County the opponent and the league position was 1st? | SELECT "Date" FROM table_9674 WHERE "Opponents" = 'notts county' AND "League position" = '1st' | SELECT "Date" FROM "table_9674" WHERE "League position" = '1st' AND "Opponents" = 'notts county' | 0.09375 |
CREATE TABLE table_80056 ("Designation" CLOB, "USAAF Serial" CLOB, "PoAF Serial" FLOAT, "Delivery" CLOB, "Retired" FLOAT, "In Service" CLOB)
| What is the earliest year retired delivered in 1965 with an in service in November 1971 for the PoAF Serial less than 7103? | SELECT MIN("Retired") FROM table_80056 WHERE "Delivery" = '1965' AND "In Service" = 'november 1971' AND "PoAF Serial" < '7103' | SELECT MIN("Retired") FROM "table_80056" WHERE "Delivery" = '1965' AND "In Service" = 'november 1971' AND "PoAF Serial" < '7103' | 0.125 |
CREATE TABLE table_name_27 (tournament VARCHAR2, runner_s__up VARCHAR2)
| In which tournament was Ian Baker-Finch the runner-up? | SELECT tournament FROM table_name_27 WHERE runner_s__up = "ian baker-finch" | SELECT "tournament" FROM "table_name_27" WHERE "ian baker-finch" = "runner_s__up" | 0.079102 |
CREATE TABLE table_name_61 (opponent_team VARCHAR2, result VARCHAR2)
| What opponent was in the match that resulted in 1-2? | SELECT opponent_team FROM table_name_61 WHERE result = "1-2" | SELECT "opponent_team" FROM "table_name_61" WHERE "1-2" = "result" | 0.064453 |
CREATE TABLE customers (customer_id NUMBER, payment_method CLOB, customer_name CLOB, date_became_customer TIME, other_customer_details CLOB)
CREATE TABLE customer_orders (order_id NUMBER, customer_id NUMBER, order_status CLOB, order_date TIME, order_details CLOB)
CREATE TABLE addresses (address_id NUMBER, address_content CLOB, city CLOB, zip_postcode CLOB, state_province_county CLOB, country CLOB, other_address_details CLOB)
CREATE TABLE customer_contact_channels (customer_id NUMBER, channel_code CLOB, active_from_date TIME, active_to_date TIME, contact_number CLOB)
CREATE TABLE order_items (order_id NUMBER, product_id NUMBER, order_quantity CLOB)
CREATE TABLE customer_addresses (customer_id NUMBER, address_id NUMBER, date_address_from TIME, address_type CLOB, date_address_to TIME)
CREATE TABLE products (product_id NUMBER, product_details CLOB)
| What are the names of customers who never made an order. | SELECT customer_name FROM customers EXCEPT SELECT t1.customer_name FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id | SELECT "customer_name" FROM "customers" EXCEPT SELECT "t1"."customer_name" FROM "customers" "t1" JOIN "customer_orders" "t2" ON "t1"."customer_id" = "t2"."customer_id" | 0.163086 |
CREATE TABLE table_46710 ("Name of System" CLOB, "Location" CLOB, "Traction Type" CLOB, "Date ( From ) " CLOB, "Date ( To ) " CLOB)
| what is the date for traction type electric with calgary location? | SELECT "Date (From)" FROM table_46710 WHERE "Traction Type" = 'electric' AND "Location" = 'calgary' | SELECT "Date (From)" FROM "table_46710" WHERE "Location" = 'calgary' AND "Traction Type" = 'electric' | 0.098633 |
CREATE TABLE table_9949 ("Year" CLOB, "Kansas" CLOB, "Nebraska" CLOB, "North Dakota" CLOB, "Oklahoma" CLOB, "South Dakota" CLOB, "Texas" CLOB)
| What is the oklahoma has Bush from Nebraska in year 2004? | SELECT "Oklahoma" FROM table_9949 WHERE "Nebraska" = 'bush' AND "Year" = '2004' | SELECT "Oklahoma" FROM "table_9949" WHERE "Nebraska" = 'bush' AND "Year" = '2004' | 0.079102 |
CREATE TABLE table_13271 ("Name" CLOB, "Position" CLOB, "League Apps" CLOB, "League Goals" FLOAT, "FA Cup Apps" CLOB, "FA Cup Goals" FLOAT, "League Cup Apps" CLOB, "League Cup Goals" FLOAT, "Total Apps" CLOB, "Total Goals" FLOAT)
| Which Total Goals have Total Apps of 42 (3), and League Goals smaller than 1? | SELECT MAX("Total Goals") FROM table_13271 WHERE "Total Apps" = '42 (3)' AND "League Goals" < '1' | SELECT MAX("Total Goals") FROM "table_13271" WHERE "League Goals" < '1' AND "Total Apps" = '42 (3)' | 0.09668 |
CREATE TABLE region (region_id NUMBER, region_name CLOB, date CLOB, label CLOB, format CLOB, catalogue CLOB)
CREATE TABLE party_events (event_id NUMBER, event_name CLOB, party_id NUMBER, member_in_charge_id NUMBER)
CREATE TABLE member (member_id NUMBER, member_name CLOB, party_id CLOB, in_office CLOB)
CREATE TABLE party (party_id NUMBER, minister CLOB, took_office CLOB, left_office CLOB, region_id NUMBER, party_name CLOB)
| What is the name of party with most number of members? | SELECT T2.party_name FROM member AS T1 JOIN party AS T2 ON T1.party_id = T2.party_id GROUP BY T1.party_id ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "T2"."party_name" FROM "member" "T1" JOIN "party" "T2" ON "T1"."party_id" = "T2"."party_id" GROUP BY "T1"."party_id" ORDER BY COUNT(*) DESC FETCH FIRST 1 ROWS ONLY | 0.166016 |
CREATE TABLE table_15412381_5 (lms_nos VARCHAR2, builder VARCHAR2)
| What is the LMS number of the trains built by G&SWR Kilmarnock? | SELECT lms_nos FROM table_15412381_5 WHERE builder = "G&SWR Kilmarnock" | SELECT "lms_nos" FROM "table_15412381_5" WHERE "G&SWR Kilmarnock" = "builder" | 0.075195 |
CREATE TABLE table_1761 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Game site" CLOB, "Record" CLOB, "Attendance" FLOAT)
| How many attended game(s) against the boston patriots? | SELECT "Attendance" FROM table_1761 WHERE "Opponent" = 'Boston Patriots' | SELECT "Attendance" FROM "table_1761" WHERE "Opponent" = 'Boston Patriots' | 0.072266 |
CREATE TABLE table_21091145_1 (black_knights_points VARCHAR2, game VARCHAR2)
| Name the number of black knights points for 3 game | SELECT COUNT(black_knights_points) FROM table_21091145_1 WHERE game = 3 | SELECT COUNT("black_knights_points") FROM "table_21091145_1" WHERE "game" = 3 | 0.075195 |
CREATE TABLE table_name_86 (points VARCHAR2, chassis VARCHAR2, entrant VARCHAR2, year VARCHAR2)
| Name the total number of points for beta team march 1975 and chassis of march 751 | SELECT COUNT(points) FROM table_name_86 WHERE entrant = "beta team march" AND year = 1975 AND chassis = "march 751" | SELECT COUNT("points") FROM "table_name_86" WHERE "beta team march" = "entrant" AND "chassis" = "march 751" AND "year" = 1975 | 0.12207 |
CREATE TABLE table_72926 ("Body style" CLOB, "Wheelbase" CLOB, "Length" CLOB, "Height" CLOB, "Curb weight" CLOB)
| What's the length of the model with Sedan body style? | SELECT "Length" FROM table_72926 WHERE "Body style" = 'Sedan' | SELECT "Length" FROM "table_72926" WHERE "Body style" = 'Sedan' | 0.061523 |
CREATE TABLE table_29800 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "Production code" FLOAT, "U.S. viewers ( millions ) " CLOB)
| What episode number in the series is 'the one where everybody finds out'? | SELECT MAX("No. in series") FROM table_29800 WHERE "Title" = 'The One Where Everybody Finds Out' | SELECT MAX("No. in series") FROM "table_29800" WHERE "Title" = 'The One Where Everybody Finds Out' | 0.095703 |
CREATE TABLE table_name_38 (podiums VARCHAR2, f_laps VARCHAR2, points VARCHAR2)
| What listing for Podiums has 0 F/laps and 39 points? | SELECT podiums FROM table_name_38 WHERE f_laps = "0" AND points = "39" | SELECT "podiums" FROM "table_name_38" WHERE "0" = "f_laps" AND "39" = "points" | 0.076172 |
CREATE TABLE table_17598822_11 (challenge_cup NUMBER, player VARCHAR2)
| Name the most challenge cup for damon gray | SELECT MAX(challenge_cup) FROM table_17598822_11 WHERE player = "Damon Gray" | SELECT MAX("challenge_cup") FROM "table_17598822_11" WHERE "Damon Gray" = "player" | 0.080078 |
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 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 Participates_in (stuid NUMBER, actid NUMBER)
| Show all the activity names and the number of faculty involved in each activity Show bar chart, and could you order in ascending by the the total number ? | SELECT activity_name, COUNT(*) FROM Activity AS T1 JOIN Faculty_Participates_in AS T2 ON T1.actid = T2.actid GROUP BY T1.actid ORDER BY COUNT(*) | SELECT "activity_name", COUNT(*) FROM "Activity" "T1" JOIN "Faculty_Participates_in" "T2" ON "T1"."actid" = "T2"."actid" GROUP BY "T1"."actid" ORDER BY COUNT(*) | 0.15625 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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)
| provide the number of patients whose discharge location is home health care and procedure short title is open incis hern-grft nec? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.discharge_location = "HOME HEALTH CARE" AND procedures.short_title = "Open incis hern-grft NEC" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Open incis hern-grft NEC" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "HOME HEALTH CARE" = "demographic"."discharge_location" | 0.253906 |
CREATE TABLE table_27000 ("Name of Village" CLOB, "Name in Syriac" CLOB, "Number of Believers" FLOAT, "Number of Priests" FLOAT, "Number of Churches" FLOAT)
| Name the most number of believers for | SELECT MAX("Number of Believers") FROM table_27000 WHERE "Name in Syriac" = 'ܓܘܝܠܢ' | SELECT MAX("Number of Believers") FROM "table_27000" WHERE "Name in Syriac" = 'ܓܘܝܠܢ' | 0.083008 |
CREATE TABLE table_7145 ("Season" FLOAT, "Overall" FLOAT, "Slalom" CLOB, "Super G" FLOAT, "Downhill" CLOB, "Combined" CLOB)
| What is the combined of the 14 Super G? | SELECT "Combined" FROM table_7145 WHERE "Super G" = '14' | SELECT "Combined" FROM "table_7145" WHERE "Super G" = '14' | 0.056641 |
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 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 patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
| let's count the number of times on the first hospital encounter patient 006-200601 has had a output amt-chest tube c output. | SELECT COUNT(*) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-200601' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime LIMIT 1)) AND intakeoutput.cellpath LIKE '%output%' AND intakeoutput.celllabel = 'output amt-chest tube c' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '006-200601' AND NOT "patient"."hospitaldischargetime" IS NULL GROUP BY "patienthealthsystemstayid" ORDER BY "patient"."hospitaladmittime" FETCH FIRST 1 ROWS ONLY), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT COUNT(*) FROM "intakeoutput" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."celllabel" = 'output amt-chest tube c' AND "intakeoutput"."cellpath" LIKE '%output%' AND NOT "_u_1"."" IS NULL | 0.694336 |
CREATE TABLE table_61074 ("Player" CLOB, "Country" CLOB, "Year ( s ) won" CLOB, "Total" FLOAT, "To par" FLOAT)
| How many strokes off par was the player who scored 157? | SELECT COUNT("To par") FROM table_61074 WHERE "Total" = '157' | SELECT COUNT("To par") FROM "table_61074" WHERE "Total" = '157' | 0.061523 |
CREATE TABLE table_name_68 (bronze NUMBER, gold NUMBER)
| What is the lowest number of bronze medals received by a nation with fewer than 0 gold medals? | SELECT MIN(bronze) FROM table_name_68 WHERE gold < 0 | SELECT MIN("bronze") FROM "table_name_68" WHERE "gold" < 0 | 0.056641 |
CREATE TABLE table_46416 ("Name" CLOB, "Height" CLOB, "Year" CLOB, "Hometown" CLOB, "Club" CLOB)
| What hometown was FR Year, and ha Brown's Gymnastics club? | SELECT "Hometown" FROM table_46416 WHERE "Year" = 'fr' AND "Club" = 'brown''s gymnastics' | SELECT "Hometown" FROM "table_46416" WHERE "Club" = 'brown''s gymnastics' AND "Year" = 'fr' | 0.088867 |
CREATE TABLE table_1670921_2 (batting_partners VARCHAR2, season VARCHAR2)
| What batting partners were the most successful in 2004? | SELECT batting_partners FROM table_1670921_2 WHERE season = "2004" | SELECT "batting_partners" FROM "table_1670921_2" WHERE "2004" = "season" | 0.070313 |
CREATE TABLE table_name_18 (owner_s_ VARCHAR2, date VARCHAR2, description VARCHAR2)
| Which owner has a description of Mark 1 pos and is dated 1956? | SELECT owner_s_ FROM table_name_18 WHERE date = 1956 AND description = "mark 1 pos" | SELECT "owner_s_" FROM "table_name_18" WHERE "date" = 1956 AND "description" = "mark 1 pos" | 0.088867 |
CREATE TABLE table_name_77 (score VARCHAR2, record VARCHAR2)
| The game that had a record of 39-25, what was the score? | SELECT score FROM table_name_77 WHERE record = "39-25" | SELECT "score" FROM "table_name_77" WHERE "39-25" = "record" | 0.058594 |
CREATE TABLE table_52175 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Date" CLOB)
| What was the away team when the home team was South Melbourne? | SELECT "Away team" FROM table_52175 WHERE "Home team" = 'south melbourne' | SELECT "Away team" FROM "table_52175" WHERE "Home team" = 'south melbourne' | 0.073242 |
CREATE TABLE table_203_352 (id NUMBER, "position" NUMBER, "swara" CLOB, "short name" CLOB, "notation" CLOB, "mnemonic" CLOB)
| what is the total number of positions listed ? | SELECT COUNT("position") FROM table_203_352 | SELECT COUNT("position") FROM "table_203_352" | 0.043945 |
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
| whats the last height of patient 005-80291 until 10/2105? | SELECT patient.admissionheight FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '005-80291') AND NOT patient.admissionheight IS NULL AND STRFTIME('%y-%m', patient.unitadmittime) <= '2105-10' ORDER BY patient.unitadmittime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '005-80291' GROUP BY "patienthealthsystemstayid") SELECT "patient"."admissionheight" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL AND NOT "patient"."admissionheight" IS NULL AND STRFTIME('%y-%m', "patient"."unitadmittime") <= '2105-10' ORDER BY "patient"."unitadmittime" DESC FETCH FIRST 1 ROWS ONLY | 0.46875 |
CREATE TABLE table_15206 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Loss" CLOB, "Record" CLOB)
| Who was the opponent at the game that had a loss of Bell (6 9)? | SELECT "Opponent" FROM table_15206 WHERE "Loss" = 'bell (6–9)' | SELECT "Opponent" FROM "table_15206" WHERE "Loss" = 'bell (6–9)' | 0.0625 |
CREATE TABLE files (f_id NUMBER, artist_name VARCHAR2, file_size VARCHAR2, duration VARCHAR2, formats VARCHAR2)
CREATE TABLE genre (g_name VARCHAR2, rating VARCHAR2, most_popular_in VARCHAR2)
CREATE TABLE song (song_name VARCHAR2, artist_name VARCHAR2, country VARCHAR2, f_id NUMBER, genre_is VARCHAR2, rating NUMBER, languages VARCHAR2, releasedate DATE, resolution NUMBER)
CREATE TABLE artist (artist_name VARCHAR2, country VARCHAR2, gender VARCHAR2, preferred_genre VARCHAR2)
| A bar chart about how many songs were released for each format?, and could you rank by the x axis from high to low? | SELECT formats, COUNT(*) FROM files GROUP BY formats ORDER BY formats DESC | SELECT "formats", COUNT(*) FROM "files" GROUP BY "formats" ORDER BY "formats" DESC | 0.080078 |
CREATE TABLE table_1939367_1 (arabs_2011 VARCHAR2, province VARCHAR2)
| If the province is Nunavut, what is the Arabs 2011 amount? | SELECT arabs_2011 FROM table_1939367_1 WHERE province = "Nunavut" | SELECT "arabs_2011" FROM "table_1939367_1" WHERE "Nunavut" = "province" | 0.069336 |
CREATE TABLE table_73785 ("Series #" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "Viewers ( in millions ) " CLOB)
| When did the episode 'you gonna do that the rest of your life?' air? | SELECT "Original air date" FROM table_73785 WHERE "Title" = 'You Gonna Do That the Rest of Your Life?' | SELECT "Original air date" FROM "table_73785" WHERE "Title" = 'You Gonna Do That the Rest of Your Life?' | 0.101563 |
CREATE TABLE table_name_81 (team_1 VARCHAR2, team_2 VARCHAR2)
| Which was the team 1 that had a team 2 which was avigliano (basilicata)? | SELECT team_1 FROM table_name_81 WHERE team_2 = "avigliano (basilicata)" | SELECT "team_1" FROM "table_name_81" WHERE "avigliano (basilicata)" = "team_2" | 0.076172 |
CREATE TABLE table_204_996 (id NUMBER, "no." CLOB, "air date" CLOB, "network" CLOB, "household\ rating" NUMBER, "viewers\ ( millions ) " CLOB)
| how many times has nbc hosted the awards ? | SELECT COUNT(*) FROM table_204_996 WHERE "network" = 'nbc' | SELECT COUNT(*) FROM "table_204_996" WHERE "network" = 'nbc' | 0.058594 |
CREATE TABLE table_20726262_4 (writtenby VARCHAR2, production_code VARCHAR2)
| what is the written by and production code is 3wab03? | SELECT writtenby FROM table_20726262_4 WHERE production_code = "3WAB03" | SELECT "writtenby" FROM "table_20726262_4" WHERE "3WAB03" = "production_code" | 0.075195 |
CREATE TABLE table_name_52 (points VARCHAR2, score VARCHAR2, record VARCHAR2)
| What is the points when the score was 3 1, and record was 25 19 11? | SELECT points FROM table_name_52 WHERE score = "3–1" AND record = "25–19–11" | SELECT "points" FROM "table_name_52" WHERE "25–19–11" = "record" AND "3–1" = "score" | 0.082031 |
CREATE TABLE table_54841 ("Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Decision" CLOB, "Attendance" FLOAT, "Record" CLOB)
| Atlanta was a visitor on December 8, what was their record? | SELECT "Record" FROM table_54841 WHERE "Visitor" = 'atlanta' | SELECT "Record" FROM "table_54841" WHERE "Visitor" = 'atlanta' | 0.060547 |
CREATE TABLE table_203_704 (id NUMBER, "rnd" NUMBER, "date" CLOB, "location" CLOB, "laps" NUMBER, "distance" CLOB, "time" CLOB, "speed\ ( km/h ) " NUMBER, "winner" CLOB, "pole position" CLOB, "most leading laps" CLOB, "fastest race lap" CLOB)
| which racer won the most races ? | SELECT "winner" FROM table_203_704 GROUP BY "winner" ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "winner" FROM "table_203_704" GROUP BY "winner" ORDER BY COUNT(*) DESC FETCH FIRST 1 ROWS ONLY | 0.098633 |
CREATE TABLE table_1952057_5 (super_bowl_championships NUMBER, team VARCHAR2)
| If the team in the New England Patriots, what is the super bowl championship minimum number? | SELECT MIN(super_bowl_championships) FROM table_1952057_5 WHERE team = "New England Patriots" | SELECT MIN("super_bowl_championships") FROM "table_1952057_5" WHERE "New England Patriots" = "team" | 0.09668 |
CREATE TABLE table_19922 ("Series Ep." CLOB, "Episode" FLOAT, "Segment A" CLOB, "Segment B" CLOB, "Segment C" CLOB, "Segment D" CLOB)
| What is the segment B of episode 242? | SELECT "Segment B" FROM table_19922 WHERE "Episode" = '242' | SELECT "Segment B" FROM "table_19922" WHERE "Episode" = '242' | 0.05957 |
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE 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 ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE CloseReasonTypes (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 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 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 PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId 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 FlagTypes (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 PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
| All Java (with or without other tags) tagged questions for a week in January 2018. | SELECT Q.Id, Q.CreationDate, Q.Title AS "Question Title", Q.Body AS "Question Body", A.Body AS "Answer Body" FROM Posts AS Q INNER JOIN Posts AS A ON Q.AcceptedAnswerId = A.Id INNER JOIN PostTags AS PT ON PT.PostId = Q.Id WHERE PT.TagId = 17 AND Q.CreationDate BETWEEN '2018-01-01' AND '2018-01-03' AND Q.Score >= 0 ORDER BY Q.Id | SELECT "Q"."Id", "Q"."CreationDate", "Q"."Title" AS "Question Title", "Q"."Body" AS "Question Body", "A"."Body" AS "Answer Body" FROM "Posts" "Q" JOIN "Posts" "A" ON "A"."Id" = "Q"."AcceptedAnswerId" JOIN "PostTags" "PT" ON "PT"."PostId" = "Q"."Id" AND "PT"."TagId" = 17 WHERE "Q"."CreationDate" <= '2018-01-03' AND "Q"."CreationDate" >= '2018-01-01' AND "Q"."Score" >= 0 ORDER BY "Q"."Id" | 0.379883 |
CREATE TABLE fires (fire_year NUMBER, discovery_date NUMBER, discovery_doy NUMBER, discovery_time CLOB, stat_cause_code NUMBER, stat_cause_descr CLOB, cont_date CLOB, cont_doy CLOB, cont_time CLOB, fire_size NUMBER, fire_size_class CLOB, latitude NUMBER, longitude NUMBER, owner_code NUMBER, owner_descr CLOB, state CLOB, county CLOB, fips_code CLOB, fips_name CLOB)
| What is the total area that has been burned until now? | SELECT SUM(fire_size) FROM fires | SELECT SUM("fire_size") FROM "fires" | 0.035156 |
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, 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 regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
| For those employees who do not work in departments with managers that have ids between 100 and 200, find hire_date and the sum of salary bin hire_date by time, and visualize them by a bar chart. | SELECT HIRE_DATE, SUM(SALARY) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) | SELECT "HIRE_DATE", SUM("SALARY") FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) | 0.168945 |
CREATE TABLE table_name_22 (political_party VARCHAR2, name VARCHAR2)
| Which Political Party has a Name of rexhep bej mitrovica? | SELECT political_party FROM table_name_22 WHERE name = "rexhep bej mitrovica" | SELECT "political_party" FROM "table_name_22" WHERE "name" = "rexhep bej mitrovica" | 0.081055 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE 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)
| what is the number of patients whose marital status is married and lab test name is calculated tbg? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.marital_status = "MARRIED" AND lab.label = "Calculated TBG" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Calculated TBG" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "MARRIED" = "demographic"."marital_status" | 0.205078 |
CREATE TABLE table_name_66 (low_estimate NUMBER, date VARCHAR2)
| What is the sum of low estimate(s) that is listed for the date of 1978? | SELECT SUM(low_estimate) FROM table_name_66 WHERE date = "1978" | SELECT SUM("low_estimate") FROM "table_name_66" WHERE "1978" = "date" | 0.067383 |
CREATE TABLE table_13657749_2 (to_winning_team VARCHAR2, gtu_winning_team VARCHAR2)
| Who is GTU Winning Team's #27 Don Lindley's TO Winning Team? | SELECT to_winning_team FROM table_13657749_2 WHERE gtu_winning_team = "#27 Don Lindley" | SELECT "to_winning_team" FROM "table_13657749_2" WHERE "#27 Don Lindley" = "gtu_winning_team" | 0.09082 |
CREATE TABLE table_name_87 (nationality VARCHAR2, player VARCHAR2)
| What is Graham Gooch's nationality? | SELECT nationality FROM table_name_87 WHERE player = "graham gooch" | SELECT "nationality" FROM "table_name_87" WHERE "graham gooch" = "player" | 0.071289 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
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)
| find the number of patients diagnosed for enthesopathy of hip whose lab test fluid is joint fluid. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.short_title = "Enthesopathy of hip" AND lab.fluid = "Joint Fluid" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Enthesopathy of hip" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "Joint Fluid" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.273438 |
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 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)
| provide the number of patients whose gender is m and primary disease is hyperglycemia;hyponatremia? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "M" AND demographic.diagnosis = "HYPERGLYCEMIA;HYPONATREMIA" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "HYPERGLYCEMIA;HYPONATREMIA" = "demographic"."diagnosis" AND "M" = "demographic"."gender" | 0.160156 |
CREATE TABLE table_25042332_26 (region VARCHAR2, none VARCHAR2)
| Which region has 0.6% none? | SELECT region FROM table_25042332_26 WHERE none = "0.6%" | SELECT "region" FROM "table_25042332_26" WHERE "0.6%" = "none" | 0.060547 |
CREATE TABLE table_name_53 (score VARCHAR2, runner_up VARCHAR2, tournament VARCHAR2)
| what was the score when goran ivani evi was runner up and the tournament was in algarve? | SELECT score FROM table_name_53 WHERE runner_up = "goran ivanišević" AND tournament = "algarve" | SELECT "score" FROM "table_name_53" WHERE "algarve" = "tournament" AND "goran ivanišević" = "runner_up" | 0.100586 |
CREATE TABLE table_name_13 (outgoing_manager VARCHAR2, date_of_vacancy VARCHAR2)
| Tell me the outgoing manager for 22 november date of vacancy | SELECT outgoing_manager FROM table_name_13 WHERE date_of_vacancy = "22 november" | SELECT "outgoing_manager" FROM "table_name_13" WHERE "22 november" = "date_of_vacancy" | 0.083984 |
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE 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 Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostTypes (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)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
| Popularity of Python-R & Scala. | SELECT *, COUNT(*) AS count FROM (SELECT DATEADD(MONTH, DATEDIFF(MONTH, 0, CreationDate), 0) AS "month", t.TagName AS "tag" FROM Posts AS p JOIN PostTags AS pt ON pt.PostId = p.Id JOIN Tags AS t ON t.Id = pt.TagId WHERE t.TagName IN ('python', 'r', 'scala')) AS X GROUP BY 'tag', month ORDER BY 'tag', month | WITH "X" AS (SELECT DATEADD("MONTH", DATEDIFF(CAST("MONTH" AS DATETIME), CAST(0 AS DATETIME), CREATIONDATE), 0) AS "month", "t"."TagName" AS "tag" FROM "Posts" "p" JOIN "PostTags" "pt" ON "p"."Id" = "pt"."PostId" JOIN "Tags" "t" ON "pt"."TagId" = "t"."Id" AND "t"."TagName" IN ('python', 'r', 'scala')) SELECT *, COUNT(*) AS "count" FROM "X" "X" GROUP BY 'tag', "month" ORDER BY 'tag', "month" | 0.383789 |
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)
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 insurance is government and diagnoses long title is tietze's disease? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.insurance = "Government" AND diagnoses.long_title = "Tietze's disease" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Tietze's disease" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "Government" = "demographic"."insurance" | 0.227539 |
CREATE TABLE event (ID NUMBER, Name CLOB, Stadium_ID NUMBER, Year CLOB)
CREATE TABLE record (ID NUMBER, Result CLOB, Swimmer_ID NUMBER, Event_ID NUMBER)
CREATE TABLE stadium (ID NUMBER, name CLOB, Capacity NUMBER, City CLOB, Country CLOB, Opening_year NUMBER)
CREATE TABLE swimmer (ID NUMBER, name CLOB, Nationality CLOB, meter_100 FLOAT, meter_200 CLOB, meter_300 CLOB, meter_400 CLOB, meter_500 CLOB, meter_600 CLOB, meter_700 CLOB, Time CLOB)
| Show me about the distribution of meter_600 and ID in a bar chart, and order by the ID from high to low. | SELECT meter_600, ID FROM swimmer ORDER BY ID DESC | SELECT "meter_600", "ID" FROM "swimmer" ORDER BY "ID" DESC | 0.056641 |
CREATE TABLE table_11578 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| Tell me the high assists for orlando | SELECT "High assists" FROM table_11578 WHERE "Team" = 'orlando' | SELECT "High assists" FROM "table_11578" WHERE "Team" = 'orlando' | 0.063477 |
CREATE TABLE table_name_38 (bike__40km_ VARCHAR2, swim__15km_ VARCHAR2)
| What is the time for the bike (40km) when the swim (1.5km) is 19:56? | SELECT bike__40km_ FROM table_name_38 WHERE swim__15km_ = "19:56" | SELECT "bike__40km_" FROM "table_name_38" WHERE "19:56" = "swim__15km_" | 0.069336 |
CREATE TABLE table_name_67 (rank NUMBER, name VARCHAR2)
| What is the lowest rank of Citigroup? | SELECT MIN(rank) FROM table_name_67 WHERE name = "citigroup" | SELECT MIN("rank") FROM "table_name_67" WHERE "citigroup" = "name" | 0.064453 |
CREATE TABLE table_19680 ("Year" FLOAT, "Mens singles" CLOB, "Womens singles" CLOB, "Mens doubles" CLOB, "Womens doubles" CLOB, "Mixed doubles" CLOB)
| What was the last year rni r hallgr msson dr fa har ard ttir won mixed doubles | SELECT MAX("Year") FROM table_19680 WHERE "Mixed doubles" = 'Árni Þór Hallgrímsson Drífa Harðardóttir' | SELECT MAX("Year") FROM "table_19680" WHERE "Mixed doubles" = 'Árni Þór Hallgrímsson Drífa Harðardóttir' | 0.101563 |
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req 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 semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
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 area (course_id NUMBER, area VARCHAR2)
| Is LHSP 229 applicable for ULCS ? | SELECT COUNT(*) > 0 FROM course INNER JOIN program_course ON program_course.course_id = course.course_id WHERE course.department = 'LHSP' AND course.number = 229 AND program_course.category LIKE '%ULCS%' | SELECT COUNT(*) > 0 FROM "course" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%ULCS%' WHERE "course"."department" = 'LHSP' AND "course"."number" = 229 | 0.21582 |
CREATE TABLE table_204_507 (id NUMBER, "bridge name" CLOB, "location" CLOB, "year completed" NUMBER, "total length" CLOB, "carries" CLOB)
| how many bridges are 400 feet long at most ? | SELECT COUNT("bridge name") FROM table_204_507 WHERE "total length" <= 400 | SELECT COUNT("bridge name") FROM "table_204_507" WHERE "total length" <= 400 | 0.074219 |
CREATE TABLE table_3984 ("Series #" FLOAT, "Season #" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "Production code" CLOB)
| Who wrote episode with production code 1.01? | SELECT "Written by" FROM table_3984 WHERE "Production code" = '1.01' | SELECT "Written by" FROM "table_3984" WHERE "Production code" = '1.01' | 0.068359 |
CREATE TABLE table_35256 ("Rank" FLOAT, "Airport" CLOB, "Location" CLOB, "Code ( IATA ) " CLOB, "Total Cargo ( Metric Tonnes ) " CLOB, "2003 Rank" CLOB, "% Change" CLOB)
| What is the IATA code of the airport that has a Total Cargo of 1,838,894 Metric Tonnes? | SELECT "Code (IATA)" FROM table_35256 WHERE "Total Cargo (Metric Tonnes)" = '1,838,894' | SELECT "Code (IATA)" FROM "table_35256" WHERE "Total Cargo (Metric Tonnes)" = '1,838,894' | 0.086914 |
CREATE TABLE table_7331 ("Rank" FLOAT, "Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| How many gold medals were awarded to teams ranked higher than 19? | SELECT COUNT("Gold") FROM table_7331 WHERE "Rank" > '19' | SELECT COUNT("Gold") FROM "table_7331" WHERE "Rank" > '19' | 0.056641 |
CREATE TABLE table_70659 ("Rank" CLOB, "Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What is the value for Gold, when the value for Bronze is less than 0? | SELECT COUNT("Gold") FROM table_70659 WHERE "Bronze" < '0' | SELECT COUNT("Gold") FROM "table_70659" WHERE "Bronze" < '0' | 0.058594 |
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 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 patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title 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 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 chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
| list the id's of the patients diagnosed with candidias urogenital nec. | SELECT admissions.subject_id FROM admissions WHERE admissions.hadm_id IN (SELECT diagnoses_icd.hadm_id FROM diagnoses_icd WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'candidias urogenital nec')) | WITH "_u_1" AS (SELECT "diagnoses_icd"."hadm_id" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'candidias urogenital nec' GROUP BY "hadm_id") SELECT "admissions"."subject_id" FROM "admissions" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "admissions"."hadm_id" WHERE NOT "_u_1"."" IS NULL | 0.37207 |
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 admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE 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 inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE 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 prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
| during this year what are the top four most frequent procedures that patients have received during the same hospital visit after diagnosis of dmii renl nt st uncntrld? | SELECT d_icd_procedures.short_title FROM d_icd_procedures WHERE d_icd_procedures.icd9_code IN (SELECT t3.icd9_code FROM (SELECT t2.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, diagnoses_icd.charttime, admissions.hadm_id FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'dmii renl nt st uncntrld') AND DATETIME(diagnoses_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')) AS t1 JOIN (SELECT admissions.subject_id, procedures_icd.icd9_code, procedures_icd.charttime, admissions.hadm_id FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE DATETIME(procedures_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.charttime AND t1.hadm_id = t2.hadm_id GROUP BY t2.icd9_code) AS t3 WHERE t3.c1 <= 4) | WITH "t2" AS (SELECT "admissions"."subject_id", "procedures_icd"."icd9_code", "procedures_icd"."charttime", "admissions"."hadm_id" FROM "procedures_icd" JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id" WHERE DATETIME("procedures_icd"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')), "t3" AS (SELECT "t2"."icd9_code", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'dmii renl nt st uncntrld' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" JOIN "t2" "t2" ON "admissions"."hadm_id" = "t2"."hadm_id" AND "admissions"."subject_id" = "t2"."subject_id" AND "diagnoses_icd"."charttime" < "t2"."charttime" WHERE DATETIME("diagnoses_icd"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') GROUP BY "t2"."icd9_code"), "_u_1" AS (SELECT "t3"."icd9_code" FROM "t3" "t3" WHERE "t3"."c1" <= 4 GROUP BY "icd9_code") SELECT "d_icd_procedures"."short_title" FROM "d_icd_procedures" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "d_icd_procedures"."icd9_code" WHERE NOT "_u_1"."" IS NULL | 1.202148 |
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
| how many days have passed since patient 016-9636 received his first -monos lab test on the current hospital visit? | SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', 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 = '016-9636' AND patient.hospitaldischargetime IS NULL)) AND lab.labname = '-monos' ORDER BY lab.labresulttime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."hospitaldischargetime" IS NULL AND "patient"."uniquepid" = '016-9636' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "lab"."labresulttime")) FROM "lab" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = '-monos' AND NOT "_u_1"."" IS NULL ORDER BY "lab"."labresulttime" FETCH FIRST 1 ROWS ONLY | 0.657227 |
CREATE TABLE table_name_30 (draws NUMBER, central_murray VARCHAR2, byes VARCHAR2)
| What is the average number of draws of the central murray of leitchville gunbower, which has less than 0 byes? | SELECT AVG(draws) FROM table_name_30 WHERE central_murray = "leitchville gunbower" AND byes < 0 | SELECT AVG("draws") FROM "table_name_30" WHERE "byes" < 0 AND "central_murray" = "leitchville gunbower" | 0.100586 |
CREATE TABLE people_addresses (person_address_id NUMBER, person_id NUMBER, address_id NUMBER, date_from TIME, date_to TIME)
CREATE TABLE candidate_assessments (candidate_id NUMBER, qualification CLOB, assessment_date TIME, asessment_outcome_code CLOB)
CREATE TABLE people (person_id NUMBER, first_name CLOB, middle_name CLOB, last_name CLOB, cell_mobile_number CLOB, email_address CLOB, login_name CLOB, password CLOB)
CREATE TABLE students (student_id NUMBER, student_details CLOB)
CREATE TABLE student_course_registrations (student_id NUMBER, course_id NUMBER, registration_date TIME)
CREATE TABLE student_course_attendance (student_id NUMBER, course_id NUMBER, date_of_attendance TIME)
CREATE TABLE candidates (candidate_id NUMBER, candidate_details CLOB)
CREATE TABLE addresses (address_id NUMBER, line_1 CLOB, line_2 CLOB, city CLOB, zip_postcode CLOB, state_province_county CLOB, country CLOB)
CREATE TABLE courses (course_id CLOB, course_name CLOB, course_description CLOB, other_details CLOB)
| What are the ids of the courses that are registered or attended by the student whose id is 121? | SELECT course_id FROM student_course_registrations WHERE student_id = 121 UNION SELECT course_id FROM student_course_attendance WHERE student_id = 121 | SELECT "course_id" FROM "student_course_registrations" WHERE "student_id" = 121 UNION SELECT "course_id" FROM "student_course_attendance" WHERE "student_id" = 121 | 0.158203 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
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 aged less than 45 years speak the language port? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.language = "PORT" AND demographic.age < "45" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "45" > "demographic"."age" AND "PORT" = "demographic"."language" | 0.135742 |
CREATE TABLE table_name_90 (record VARCHAR2, visitor VARCHAR2)
| What was the record when the visitor was Atlanta Hawks? | SELECT record FROM table_name_90 WHERE visitor = "atlanta hawks" | SELECT "record" FROM "table_name_90" WHERE "atlanta hawks" = "visitor" | 0.068359 |
CREATE TABLE table_name_23 (score VARCHAR2, surface VARCHAR2, date VARCHAR2)
| What was the score of the game played on a clay surface on June 6, 2005? | SELECT score FROM table_name_23 WHERE surface = "clay" AND date = "june 6, 2005" | SELECT "score" FROM "table_name_23" WHERE "clay" = "surface" AND "date" = "june 6, 2005" | 0.085938 |
CREATE TABLE table_20842 ("C/W 15+" FLOAT, "Oblast\\\\Age" CLOB, "15 to 17" FLOAT, "18 to 19" CLOB, "20 to 24" FLOAT, "25 to 29" FLOAT, "30 to 34" FLOAT, "35 to 39" FLOAT, "40 to 44" FLOAT, "45 to 49" FLOAT, "50 to 54" FLOAT, "55 to 59" FLOAT, "60 to 64" FLOAT, "65 to 69" FLOAT, "70+" FLOAT)
| When voronezh is the oblast\age what is the lowest result of 65 to 69? | SELECT MIN("65 to 69") FROM table_20842 WHERE "Oblast\\Age" = 'Voronezh' | SELECT MIN("65 to 69") FROM "table_20842" WHERE "Oblast\\Age" = 'Voronezh' | 0.072266 |
CREATE TABLE table_43171 ("Name" CLOB, "Position" CLOB, "Number" CLOB, "School/Club Team" CLOB, "Season" CLOB, "Acquisition via" CLOB)
| What season was School/Club Team perpetual help in the guard position? | SELECT "Season" FROM table_43171 WHERE "Position" = 'guard' AND "School/Club Team" = 'perpetual help' | SELECT "Season" FROM "table_43171" WHERE "Position" = 'guard' AND "School/Club Team" = 'perpetual help' | 0.100586 |
CREATE TABLE table_31662 ("Region" CLOB, "Host" CLOB, "Venue" CLOB, "City" CLOB, "State" CLOB)
| Tell me the region for georgia | SELECT "Region" FROM table_31662 WHERE "State" = 'georgia' | SELECT "Region" FROM "table_31662" WHERE "State" = 'georgia' | 0.058594 |
CREATE TABLE table_name_20 (year VARCHAR2)
| Who came in 3rd place in 1990? | SELECT 3 AS rd_place FROM table_name_20 WHERE year = "1990" | SELECT 3 AS "rd_place" FROM "table_name_20" WHERE "1990" = "year" | 0.063477 |
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 job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
| For those employees who did not have any job in the past, show me about the change of salary over hire_date in a line chart, could you order X in ascending order? | SELECT HIRE_DATE, SALARY FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) ORDER BY HIRE_DATE | SELECT "HIRE_DATE", "SALARY" FROM "employees" WHERE NOT "EMPLOYEE_ID" IN (SELECT "EMPLOYEE_ID" FROM "job_history") ORDER BY "HIRE_DATE" | 0.131836 |
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