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CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| what is the admission type and date of death of patient id 2560? | SELECT demographic.admission_type, demographic.dod FROM demographic WHERE demographic.subject_id = "2560" | SELECT "demographic"."admission_type", "demographic"."dod" FROM "demographic" WHERE "2560" = "demographic"."subject_id" | 0.116211 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
| what number of patients had procedure under procedure icd9 code 4341? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE 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" | 0.171875 |
CREATE TABLE table_24384861_1 (video_out VARCHAR, version VARCHAR)
| how many video out connections does the sounddock portable have? | SELECT COUNT(video_out) FROM table_24384861_1 WHERE version = "SoundDock Portable" | SELECT COUNT("video_out") FROM "table_24384861_1" WHERE "SoundDock Portable" = "version" | 0.085938 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| how many patients with bradycardia were unmarried? | SELECT AVG(demographic.age) FROM demographic WHERE demographic.marital_status = "SINGLE" AND demographic.diagnosis = "BRADYCARDIA" | SELECT AVG("demographic"."age") FROM "demographic" WHERE "BRADYCARDIA" = "demographic"."diagnosis" AND "SINGLE" = "demographic"."marital_status" | 0.140625 |
CREATE TABLE table_37703 ("Team" TEXT, "Location" TEXT, "Venue" TEXT, "Capacity" FLOAT, "Position in 1992" TEXT)
| what is the lowest capacity in grodno | SELECT MIN("Capacity") FROM table_37703 WHERE "Location" = 'grodno' | SELECT MIN("Capacity") FROM "table_37703" WHERE "Location" = 'grodno' | 0.067383 |
CREATE TABLE buildings (id INT, name TEXT, City TEXT, Height INT, Stories INT, Status TEXT)
CREATE TABLE Office_locations (building_id INT, company_id INT, move_in_year INT)
CREATE TABLE Companies (id INT, name TEXT, Headquarters TEXT, Industry TEXT, Sales_billion FLOAT, Profits_billion FLOAT, Assets_billion FLOAT, Market_Value_billion TEXT)
| List the number of each company whose office is in the building in a bar chart, list by the x-axis in asc. | SELECT T3.name, COUNT(T3.name) FROM Office_locations AS T1 JOIN buildings AS T2 ON T1.building_id = T2.id JOIN Companies AS T3 ON T1.company_id = T3.id GROUP BY T3.name ORDER BY T3.name | SELECT "T3"."name", COUNT("T3"."name") FROM "Office_locations" AS "T1" JOIN "buildings" AS "T2" ON "T1"."building_id" = "T2"."id" JOIN "Companies" AS "T3" ON "T1"."company_id" = "T3"."id" GROUP BY "T3"."name" ORDER BY "T3"."name" NULLS FIRST | 0.235352 |
CREATE TABLE table_19193 ("s Car plate ( starting 1937 ) " TEXT, "Voivodeship or city" TEXT, "Capital" TEXT, "Area ( 1930 ) in 1 , 000skm 2" TEXT, "Population ( 1931 ) in 1 , 000s" TEXT)
| Name the s car starting 1937 when area 1930 is 16.5 | SELECT "s Car plate (starting 1937)" FROM table_19193 WHERE "Area (1930) in 1,000skm 2" = '16.5' | SELECT "s Car plate (starting 1937)" FROM "table_19193" WHERE "Area (1930) in 1,000skm 2" = '16.5' | 0.095703 |
CREATE TABLE table_69454 ("Number" FLOAT, "Name" TEXT, "Titles" TEXT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT)
| Who was the opponent of the match on 2006-04-08? | SELECT "Opponent" FROM table_69454 WHERE "Date" = '2006-04-08' | SELECT "Opponent" FROM "table_69454" WHERE "Date" = '2006-04-08' | 0.0625 |
CREATE TABLE table_6483 ("Date" TEXT, "Visitor" TEXT, "Score" TEXT, "Home" TEXT, "Record" TEXT)
| Which home game has a date of January 7? | SELECT "Home" FROM table_6483 WHERE "Date" = 'january 7' | SELECT "Home" FROM "table_6483" WHERE "Date" = 'january 7' | 0.056641 |
CREATE TABLE table_name_24 (venue VARCHAR, home VARCHAR)
| In what venue did FK Crvena Stijena play at home? | SELECT venue FROM table_name_24 WHERE home = "fk crvena stijena" | SELECT "venue" FROM "table_name_24" WHERE "fk crvena stijena" = "home" | 0.068359 |
CREATE TABLE table_204_136 (id DECIMAL, "year" DECIMAL, "final" TEXT, "semi" TEXT)
| which country is listed for the most finals ? | SELECT "final" FROM table_204_136 GROUP BY "final" ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "final" FROM "table_204_136" GROUP BY "final" ORDER BY COUNT(*) DESC NULLS LAST LIMIT 1 | 0.091797 |
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
| what is the new medicine prescribed for patient 99647 today compared to the drug yesterday? | SELECT prescriptions.drug FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 99647) AND DATETIME(prescriptions.startdate, 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-0 day') EXCEPT SELECT prescriptions.drug FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 99647) AND DATETIME(prescriptions.startdate, 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-1 day') | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 99647 GROUP BY "hadm_id") SELECT "prescriptions"."drug" FROM "prescriptions" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE DATETIME("prescriptions"."startdate", 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-0 day') AND NOT "_u_0"."" IS NULL EXCEPT SELECT "prescriptions"."drug" FROM "prescriptions" LEFT JOIN "_u_0" AS "_u_1" ON "_u_1"."" = "prescriptions"."hadm_id" WHERE DATETIME("prescriptions"."startdate", 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-1 day') AND NOT "_u_1"."" IS NULL | 0.630859 |
CREATE TABLE table_name_72 (start_source VARCHAR, ended VARCHAR)
| What was the start source that ended on 4 May? | SELECT start_source FROM table_name_72 WHERE ended = "4 may" | SELECT "start_source" FROM "table_name_72" WHERE "4 may" = "ended" | 0.064453 |
CREATE TABLE table_name_88 (event VARCHAR, round INT)
| Which event has a Round larger than 2? | SELECT event FROM table_name_88 WHERE round > 2 | SELECT "event" FROM "table_name_88" WHERE "round" > 2 | 0.051758 |
CREATE TABLE table_name_73 (airport VARCHAR, city VARCHAR, icao VARCHAR)
| Which airport is in Tokyo and has an ICAO of rjtt? | SELECT airport FROM table_name_73 WHERE city = "tokyo" AND icao = "rjtt" | SELECT "airport" FROM "table_name_73" WHERE "city" = "tokyo" AND "icao" = "rjtt" | 0.078125 |
CREATE TABLE table_name_52 (school VARCHAR, enrollment VARCHAR, county VARCHAR)
| Which School has an Enrollment larger than 264, and a County of 46 la porte? | SELECT school FROM table_name_52 WHERE enrollment > 264 AND county = "46 la porte" | SELECT "school" FROM "table_name_52" WHERE "46 la porte" = "county" AND "enrollment" > 264 | 0.087891 |
CREATE TABLE table_41711 ("Team 1" TEXT, "Agg." TEXT, "Team 2" TEXT, "1st leg" TEXT, "2nd leg" TEXT)
| What is the first leg score when team 2 is Wagad Mogadishu? | SELECT "1st leg" FROM table_41711 WHERE "Team 2" = 'wagad mogadishu' | SELECT "1st leg" FROM "table_41711" WHERE "Team 2" = 'wagad mogadishu' | 0.068359 |
CREATE TABLE table_10412 ("Class" TEXT, "Type" TEXT, "Quantity" FLOAT, "Date" TEXT, "LNER Class" TEXT, "1946 LNER nos." TEXT)
| Which class has less in quantity than 174 between the years 1921 23? | SELECT "Class" FROM table_10412 WHERE "Quantity" < '174' AND "Date" = '1921–23' | SELECT "Class" FROM "table_10412" WHERE "Date" = '1921–23' AND "Quantity" < '174' | 0.079102 |
CREATE TABLE university (School_ID INT, School TEXT, Location TEXT, Founded FLOAT, Affiliation TEXT, Enrollment FLOAT, Nickname TEXT, Primary_conference TEXT)
CREATE TABLE basketball_match (Team_ID INT, School_ID INT, Team_Name TEXT, ACC_Regular_Season TEXT, ACC_Percent TEXT, ACC_Home TEXT, ACC_Road TEXT, All_Games TEXT, All_Games_Percent INT, All_Home TEXT, All_Road TEXT, All_Neutral TEXT)
| A bar chart shows the distribution of All_Games and Team_ID , could you display by the x-axis in desc? | SELECT All_Games, Team_ID FROM basketball_match ORDER BY All_Games DESC | SELECT "All_Games", "Team_ID" FROM "basketball_match" ORDER BY "All_Games" DESC NULLS LAST | 0.087891 |
CREATE TABLE table_25046 ("Asian rank" FLOAT, "World rank" FLOAT, "Country" TEXT, "GDP per capita" TEXT, "GDP world rank" TEXT)
| Name the gdp per capita for world rank being 131 | SELECT "GDP per capita" FROM table_25046 WHERE "GDP world rank" = '131' | SELECT "GDP per capita" FROM "table_25046" WHERE "GDP world rank" = '131' | 0.071289 |
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
| since 4 years ago, what were the four most frequent drugs prescribed within 2 months to the female patients aged 50s after they had been diagnosed with alcoh dep nec/nos-contin? | SELECT t3.drug FROM (SELECT t2.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, diagnoses_icd.charttime 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 = 'alcoh dep nec/nos-contin') AND DATETIME(diagnoses_icd.charttime) >= DATETIME(CURRENT_TIME(), '-4 year')) AS t1 JOIN (SELECT admissions.subject_id, prescriptions.drug, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE admissions.subject_id IN (SELECT patients.subject_id FROM patients WHERE patients.gender = 'f') AND admissions.age BETWEEN 50 AND 59 AND DATETIME(prescriptions.startdate) >= DATETIME(CURRENT_TIME(), '-4 year')) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.startdate AND DATETIME(t2.startdate) BETWEEN DATETIME(t1.charttime) AND DATETIME(t1.charttime, '+2 month') GROUP BY t2.drug) AS t3 WHERE t3.c1 <= 4 | WITH "_u_1" AS (SELECT "patients"."subject_id" FROM "patients" WHERE "patients"."gender" = 'f' GROUP BY "subject_id"), "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."drug", "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."age" <= 59 AND "admissions"."age" >= 50 AND "admissions"."hadm_id" = "prescriptions"."hadm_id" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "admissions"."subject_id" WHERE DATETIME("prescriptions"."startdate") >= DATETIME(CURRENT_TIME(), '-4 year') AND NOT "_u_1"."" IS NULL), "t3" AS (SELECT "t2"."drug", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) 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" = 'alcoh dep nec/nos-contin' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" JOIN "t2" AS "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND "diagnoses_icd"."charttime" < "t2"."startdate" AND DATETIME("diagnoses_icd"."charttime") <= DATETIME("t2"."startdate") AND DATETIME("diagnoses_icd"."charttime", '+2 month') >= DATETIME("t2"."startdate") WHERE DATETIME("diagnoses_icd"."charttime") >= DATETIME(CURRENT_TIME(), '-4 year') GROUP BY "t2"."drug") SELECT "t3"."drug" FROM "t3" AS "t3" WHERE "t3"."c1" <= 4 | 1.28418 |
CREATE TABLE table_1302886_1 (county VARCHAR, kerry_number VARCHAR)
| What is the county where kerry# is 59740? | SELECT county FROM table_1302886_1 WHERE kerry_number = 59740 | SELECT "county" FROM "table_1302886_1" WHERE "kerry_number" = 59740 | 0.06543 |
CREATE TABLE Rooms (RoomId TEXT, roomName TEXT, beds INT, bedType TEXT, maxOccupancy INT, basePrice INT, decor TEXT)
CREATE TABLE Reservations (Code INT, Room TEXT, CheckIn TEXT, CheckOut TEXT, Rate FLOAT, LastName TEXT, FirstName TEXT, Adults INT, Kids INT)
| Show the minimum of the rooms in different decor using a bar chart, and display by the X-axis from low to high please. | SELECT decor, MIN(basePrice) FROM Rooms GROUP BY decor ORDER BY decor | SELECT "decor", MIN("basePrice") FROM "Rooms" GROUP BY "decor" ORDER BY "decor" NULLS FIRST | 0.088867 |
CREATE TABLE table_name_34 (opponent VARCHAR, game VARCHAR, record VARCHAR)
| Who was the opponent for game number less than 47 and a record of 24-13-4? | SELECT opponent FROM table_name_34 WHERE game < 47 AND record = "24-13-4" | SELECT "opponent" FROM "table_name_34" WHERE "24-13-4" = "record" AND "game" < 47 | 0.079102 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| count the number of patients whose ethnicity is asian and admission year is less than 2165? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "ASIAN" AND demographic.admityear < "2165" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2165" > "demographic"."admityear" AND "ASIAN" = "demographic"."ethnicity" | 0.145508 |
CREATE TABLE table_204_473 (id DECIMAL, "pos" TEXT, "no" DECIMAL, "driver" TEXT, "constructor" TEXT, "laps" DECIMAL, "time/retired" TEXT, "grid" DECIMAL, "points" DECIMAL)
| how many drivers scored at least 4 or more points ? | SELECT COUNT("driver") FROM table_204_473 WHERE "points" >= 4 | SELECT COUNT("driver") FROM "table_204_473" WHERE "points" >= 4 | 0.061523 |
CREATE TABLE table_1601792_4 (transmitted VARCHAR, frequency VARCHAR)
| How many stations are transmitted on frequency 7 uhf? | SELECT COUNT(transmitted) FROM table_1601792_4 WHERE frequency = "7 UHF" | SELECT COUNT("transmitted") FROM "table_1601792_4" WHERE "7 UHF" = "frequency" | 0.076172 |
CREATE TABLE table_72773 ("#" TEXT, "Shipyard" TEXT, "Name" TEXT, "Laid down" TEXT, "Launched" TEXT, "Commissioned" TEXT, "Fleet" TEXT, "Status" TEXT)
| What is the status of vessel number K-223? | SELECT "Status" FROM table_72773 WHERE "#" = 'K-223' | SELECT "Status" FROM "table_72773" WHERE "#" = 'K-223' | 0.052734 |
CREATE TABLE table_name_39 (score INT, place VARCHAR, player VARCHAR)
| What is the average score of player lee trevino, who has a t8 place? | SELECT AVG(score) FROM table_name_39 WHERE place = "t8" AND player = "lee trevino" | SELECT AVG("score") FROM "table_name_39" WHERE "lee trevino" = "player" AND "place" = "t8" | 0.087891 |
CREATE TABLE table_14099 ("Club" TEXT, "League/Division" TEXT, "Home Ground" TEXT, "Location" TEXT, "Position in 2012-13" TEXT)
| What location has a home ground of n/a, and position in 2012-13 of 13th, third division? | SELECT "Location" FROM table_14099 WHERE "Home Ground" = 'n/a' AND "Position in 2012-13" = '13th, third division' | SELECT "Location" FROM "table_14099" WHERE "Home Ground" = 'n/a' AND "Position in 2012-13" = '13th, third division' | 0.112305 |
CREATE TABLE pitstops (driverid VARCHAR, STOP VARCHAR, duration INT, raceid VARCHAR)
| Find the distinct driver id of all drivers that have a longer stop duration than some drivers in the race whose id is 841? | SELECT DISTINCT driverid, STOP FROM pitstops WHERE duration > (SELECT MIN(duration) FROM pitstops WHERE raceid = 841) | SELECT DISTINCT "driverid", "STOP" FROM "pitstops" WHERE "duration" > (SELECT MIN("duration") FROM "pitstops" WHERE "raceid" = 841) | 0.12793 |
CREATE TABLE table_39336 ("Rank" FLOAT, "Country/Territory" TEXT, "Miss World" FLOAT, "1st Runner-up" FLOAT, "2nd Runner-up" FLOAT, "3rd Runner-up" FLOAT, "4th Runner-up" FLOAT, "5th Runner-up" FLOAT, "6th Runner-up" FLOAT, "Semifinalists" FLOAT, "Total" FLOAT)
| Rank larger than 3, and a 6th Runner-up larger than 0, and a 5th Runner-up smaller than 1 has which lowest 1st Runner-up? | SELECT MIN("1st Runner-up") FROM table_39336 WHERE "Rank" > '3' AND "6th Runner-up" > '0' AND "5th Runner-up" < '1' | SELECT MIN("1st Runner-up") FROM "table_39336" WHERE "5th Runner-up" < '1' AND "6th Runner-up" > '0' AND "Rank" > '3' | 0.114258 |
CREATE TABLE table_name_33 (total VARCHAR, professors VARCHAR, associate_professors VARCHAR, lecturers VARCHAR)
| What is the total in the case when there are more than 4 associate professors, 5 lecturers and fewer professors than 40? | SELECT COUNT(total) FROM table_name_33 WHERE associate_professors > 4 AND lecturers = 5 AND professors < 40 | SELECT COUNT("total") FROM "table_name_33" WHERE "associate_professors" > 4 AND "lecturers" = 5 AND "professors" < 40 | 0.114258 |
CREATE TABLE table_72301 ("Election" FLOAT, "# of candidates nominated" FLOAT, "# of seats won" FLOAT, "# of total votes" FLOAT, "% of popular vote" TEXT)
| How many times was the # of total votes 2582322? | SELECT COUNT("# of seats won") FROM table_72301 WHERE "# of total votes" = '2582322' | SELECT COUNT("# of seats won") FROM "table_72301" WHERE "# of total votes" = '2582322' | 0.083984 |
CREATE TABLE table_name_92 (round VARCHAR, event VARCHAR)
| What round did the match go to when the event was Bars - Moscow vs St. Petersburg? | SELECT round FROM table_name_92 WHERE event = "bars - moscow vs st. petersburg" | SELECT "round" FROM "table_name_92" WHERE "bars - moscow vs st. petersburg" = "event" | 0.083008 |
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
| how many days have passed since the last time in which patient 007-15837 was prescribed phenylephrine hcl during the current hospital visit? | SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', medication.drugstarttime)) FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '007-15837') AND patient.hospitaldischargetime IS NULL) AND medication.drugname = 'phenylephrine hcl' ORDER BY medication.drugstarttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '007-15837' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE "patient"."hospitaldischargetime" IS NULL AND NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "medication"."drugstarttime")) FROM "medication" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "medication"."patientunitstayid" WHERE "medication"."drugname" = 'phenylephrine hcl' AND NOT "_u_1"."" IS NULL ORDER BY "medication"."drugstarttime" DESC NULLS LAST LIMIT 1 | 0.709961 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
| find out the age and religion of patient jerry deberry. | SELECT demographic.age, demographic.religion FROM demographic WHERE demographic.name = "Jerry Deberry" | SELECT "demographic"."age", "demographic"."religion" FROM "demographic" WHERE "Jerry Deberry" = "demographic"."name" | 0.113281 |
CREATE TABLE table_name_25 (winning_driver VARCHAR, second_driver VARCHAR)
| Which Winning Driver has a Second Driver of jimmy bryan? | SELECT winning_driver FROM table_name_25 WHERE second_driver = "jimmy bryan" | SELECT "winning_driver" FROM "table_name_25" WHERE "jimmy bryan" = "second_driver" | 0.080078 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
| find the drug code and drug route of neutra-phos. | SELECT prescriptions.formulary_drug_cd, prescriptions.route FROM prescriptions WHERE prescriptions.drug = "Neutra-Phos" | SELECT "prescriptions"."formulary_drug_cd", "prescriptions"."route" FROM "prescriptions" WHERE "Neutra-Phos" = "prescriptions"."drug" | 0.129883 |
CREATE TABLE Apartments (apt_id INT, building_id INT, apt_type_code CHAR, apt_number CHAR, bathroom_count INT, bedroom_count INT, room_count CHAR)
CREATE TABLE Apartment_Buildings (building_id INT, building_short_name CHAR, building_full_name VARCHAR, building_description VARCHAR, building_address VARCHAR, building_manager VARCHAR, building_phone VARCHAR)
CREATE TABLE Apartment_Bookings (apt_booking_id INT, apt_id INT, guest_id INT, booking_status_code CHAR, booking_start_date DATETIME, booking_end_date DATETIME)
CREATE TABLE View_Unit_Status (apt_id INT, apt_booking_id INT, status_date DATETIME, available_yn BIT)
CREATE TABLE Guests (guest_id INT, gender_code CHAR, guest_first_name VARCHAR, guest_last_name VARCHAR, date_of_birth DATETIME)
CREATE TABLE Apartment_Facilities (apt_id INT, facility_code CHAR)
| How many apartment bookings for each year? Draw a bar chart binning booking start date by year interval. | SELECT booking_start_date, COUNT(booking_start_date) FROM Apartment_Bookings AS T1 JOIN Guests AS T2 ON T1.guest_id = T2.guest_id | SELECT "booking_start_date", COUNT("booking_start_date") FROM "Apartment_Bookings" AS "T1" JOIN "Guests" AS "T2" ON "T1"."guest_id" = "T2"."guest_id" | 0.145508 |
CREATE TABLE table_74102 ("Status" TEXT, "2001 number ( , 000 ) " FLOAT, "2001 %" TEXT, "2011 number ( , 000 ) " FLOAT, "2011 %" TEXT)
| How many 2011 % is 7.9? | SELECT COUNT("2001 number (,000)") FROM table_74102 WHERE "2011 %" = '7.9' | SELECT COUNT("2001 number (,000)") FROM "table_74102" WHERE "2011 %" = '7.9' | 0.074219 |
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
| Question-score to answer-score ratio vs tags. | SELECT TagName, SUM(A.Score) AS AnswerScore, SUM(Q.Score) AS QuestionScore, CAST(CAST(SUM(A.Score) AS FLOAT) / CAST(SUM(Q.Score) AS FLOAT) AS FLOAT(10, 2)) AS AQRatio FROM Tags INNER JOIN PostTags ON PostTags.TagId = Tags.Id INNER JOIN Posts AS A ON A.ParentId = PostTags.PostId INNER JOIN Posts AS Q ON Q.Id = A.ParentId WHERE A.CommunityOwnedDate IS NULL AND A.OwnerUserId = @user AND Q.Score > 0 GROUP BY TagName ORDER BY AQRatio DESC LIMIT 20 | SELECT "TagName", SUM("A"."Score") AS "AnswerScore", SUM("Q"."Score") AS "QuestionScore", CAST(SUM("A"."Score") AS FLOAT) / NULLIF(CAST(SUM("Q"."Score") AS FLOAT), 0) AS "AQRatio" FROM "Tags" JOIN "PostTags" ON "PostTags"."TagId" = "Tags"."Id" JOIN "Posts" AS "A" ON "A"."CommunityOwnedDate" IS NULL AND "A"."OwnerUserId" = $user AND "A"."ParentId" = "PostTags"."PostId" JOIN "Posts" AS "Q" ON "A"."ParentId" = "Q"."Id" AND "Q"."Score" > 0 GROUP BY "TagName" ORDER BY "AQRatio" DESC NULLS LAST LIMIT 20 | 0.490234 |
CREATE TABLE injury_accident (game_id INT, id INT, Player TEXT, Injury TEXT, Number_of_matches TEXT, Source TEXT)
CREATE TABLE game (stadium_id INT, id INT, Season INT, Date TEXT, Home_team TEXT, Away_team TEXT, Score TEXT, Competition TEXT)
CREATE TABLE stadium (id INT, name TEXT, Home_Games INT, Average_Attendance FLOAT, Total_Attendance FLOAT, Capacity_Percentage FLOAT)
| Show the number of games for each home team in a bar chart, sort by the y-axis in desc please. | SELECT Home_team, COUNT(Home_team) FROM game GROUP BY Home_team ORDER BY COUNT(Home_team) DESC | SELECT "Home_team", COUNT("Home_team") FROM "game" GROUP BY "Home_team" ORDER BY COUNT("Home_team") DESC NULLS LAST | 0.112305 |
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
| For those records from the products and each product's manufacturer, give me the comparison about code over the name , and group by attribute name by a bar chart. | SELECT T1.Name, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T1.Name, T1.Name | SELECT "T1"."Name", "T1"."Code" FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T1"."Name", "T1"."Name" | 0.151367 |
CREATE TABLE table_name_65 (worldwide_gross VARCHAR, director VARCHAR)
| What was the worldwide gross for the film directed by joe pytka? | SELECT worldwide_gross FROM table_name_65 WHERE director = "joe pytka" | SELECT "worldwide_gross" FROM "table_name_65" WHERE "director" = "joe pytka" | 0.074219 |
CREATE TABLE table_2406 ("Episode No." FLOAT, "Series No." FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Viewers ( millions ) " TEXT, "Original airdate" TEXT)
| What was the title of the episode written by Keith Temple? | SELECT "Title" FROM table_2406 WHERE "Written by" = 'Keith Temple' | SELECT "Title" FROM "table_2406" WHERE "Written by" = 'Keith Temple' | 0.066406 |
CREATE TABLE table_52987 ("Driver" TEXT, "Constructor" TEXT, "Laps" FLOAT, "Time/Retired" TEXT, "Grid" FLOAT)
| What was Riccardo Patrese's time/retired? | SELECT "Time/Retired" FROM table_52987 WHERE "Driver" = 'riccardo patrese' | SELECT "Time/Retired" FROM "table_52987" WHERE "Driver" = 'riccardo patrese' | 0.074219 |
CREATE TABLE table_204_44 (id DECIMAL, "face value" DECIMAL, "\\u20ac0.01" DECIMAL, "\\u20ac0.02" DECIMAL, "\\u20ac0.05" DECIMAL, "\\u20ac0.10" DECIMAL, "\\u20ac0.20" DECIMAL, "\\u20ac0.50" DECIMAL, "\\u20ac1.00" DECIMAL, "\\u20ac2.00" DECIMAL)
| how many years was 0.01 valied at 6,000 ? | SELECT COUNT("face value") FROM table_204_44 WHERE "\u20ac0.01" = 6000 | SELECT COUNT("face value") FROM "table_204_44" WHERE "\u20ac0.01" = 6000 | 0.070313 |
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
| how many hours has it been since the last time carvedilol 6.25 mg po tabs was prescribed to patient 010-16572 in the current hospital encounter? | SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', medication.drugstarttime)) FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '010-16572') AND patient.hospitaldischargetime IS NULL) AND medication.drugname = 'carvedilol 6.25 mg po tabs' ORDER BY medication.drugstarttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '010-16572' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE "patient"."hospitaldischargetime" IS NULL AND NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "medication"."drugstarttime")) FROM "medication" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "medication"."patientunitstayid" WHERE "medication"."drugname" = 'carvedilol 6.25 mg po tabs' AND NOT "_u_1"."" IS NULL ORDER BY "medication"."drugstarttime" DESC NULLS LAST LIMIT 1 | 0.719727 |
CREATE TABLE table_2296 ("#" TEXT, "Date" TEXT, "at/vs." TEXT, "Opponent" TEXT, "Score" TEXT, "Attendance" FLOAT, "Record" TEXT)
| What was the score on February 8, 1992? | SELECT "Score" FROM table_2296 WHERE "Date" = 'February 8, 1992' | SELECT "Score" FROM "table_2296" WHERE "Date" = 'February 8, 1992' | 0.064453 |
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
| on 04/28/2100 what was the maximum value of sao2 of patient 010-19726? | SELECT MAX(vitalperiodic.sao2) FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '010-19726')) AND NOT vitalperiodic.sao2 IS NULL AND STRFTIME('%y-%m-%d', vitalperiodic.observationtime) = '2100-04-28' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '010-19726' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT MAX("vitalperiodic"."sao2") FROM "vitalperiodic" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "vitalperiodic"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL AND NOT "vitalperiodic"."sao2" IS NULL AND STRFTIME('%y-%m-%d', "vitalperiodic"."observationtime") = '2100-04-28' | 0.618164 |
CREATE TABLE table_23470 ("Language" TEXT, "Concepci\\u00f3n Municipality ( % ) " FLOAT, "San Javier Municipality ( % ) " FLOAT, "San Ram\\u00f3n Municipality ( % ) " FLOAT, "San Juli\\u00e1n Municipality ( % ) " FLOAT, "San Antonio de Lomer\\u00edo Municipality ( % ) " TEXT, "Cuatro Ca\\u00f1adas Municipality ( % ) " TEXT)
| What is the municipality percentage for San Antonio de Lomerio is San Javier municipality percentage is 31? | SELECT "San Antonio de Lomer\u00edo Municipality (%)" FROM table_23470 WHERE "San Javier Municipality (%)" = '31' | SELECT "San Antonio de Lomer\u00edo Municipality (%)" FROM "table_23470" WHERE "San Javier Municipality (%)" = '31' | 0.112305 |
CREATE TABLE table_24628683_2 (method_of_elimination VARCHAR, wrestler VARCHAR)
| What was the method of elimination for Kofi Kingston/ | SELECT method_of_elimination FROM table_24628683_2 WHERE wrestler = "Kofi Kingston" | SELECT "method_of_elimination" FROM "table_24628683_2" WHERE "Kofi Kingston" = "wrestler" | 0.086914 |
CREATE TABLE table_1025 ("Player" TEXT, "Position" TEXT, "Games started" TEXT, "Hometown" TEXT, "Height" TEXT, "Weight" FLOAT, "Class" TEXT, "Previous experience" TEXT)
| What was the class of the player who played right tackle? | SELECT "Class" FROM table_1025 WHERE "Position" = 'Right tackle' | SELECT "Class" FROM "table_1025" WHERE "Position" = 'Right tackle' | 0.064453 |
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
| Comparing all of the courses I have taken what was the hardest one ? | SELECT DISTINCT course.department, course.name, course.number, program_course.workload FROM course INNER JOIN student_record ON student_record.course_id = course.course_id INNER JOIN program_course ON program_course.course_id = course.course_id WHERE program_course.workload = (SELECT MAX(PROGRAM_COURSEalias1.workload) FROM program_course AS PROGRAM_COURSEalias1 INNER JOIN student_record AS STUDENT_RECORDalias1 ON STUDENT_RECORDalias1.course_id = PROGRAM_COURSEalias1.course_id WHERE STUDENT_RECORDalias1.student_id = 1) AND student_record.student_id = 1 | WITH "_u_0" AS (SELECT MAX("PROGRAM_COURSEalias1"."workload") FROM "program_course" AS "PROGRAM_COURSEalias1" JOIN "student_record" AS "STUDENT_RECORDalias1" ON "PROGRAM_COURSEalias1"."course_id" = "STUDENT_RECORDalias1"."course_id" AND "STUDENT_RECORDalias1"."student_id" = 1) SELECT DISTINCT "course"."department", "course"."name", "course"."number", "program_course"."workload" FROM "course" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" JOIN "student_record" ON "course"."course_id" = "student_record"."course_id" AND "student_record"."student_id" = 1 JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "program_course"."workload" | 0.635742 |
CREATE TABLE table_41493 ("Tournament" TEXT, "Wins" FLOAT, "Top-5" FLOAT, "Top-10" FLOAT, "Top-25" FLOAT, "Events" FLOAT, "Cuts made" FLOAT)
| What is the sum of Top-5, when Tournament is Totals, and when Events is greater than 86? | SELECT SUM("Top-5") FROM table_41493 WHERE "Tournament" = 'totals' AND "Events" > '86' | SELECT SUM("Top-5") FROM "table_41493" WHERE "Events" > '86' AND "Tournament" = 'totals' | 0.085938 |
CREATE TABLE table_70020 ("Season" FLOAT, "Host" TEXT, "Winners" TEXT, "Score" TEXT, "Runners-up" TEXT, "Third place" TEXT)
| What is the latest season where Al Ahly is the runners-up? | SELECT MAX("Season") FROM table_70020 WHERE "Runners-up" = 'al ahly' | SELECT MAX("Season") FROM "table_70020" WHERE "Runners-up" = 'al ahly' | 0.068359 |
CREATE TABLE table_204_612 (id DECIMAL, "draft order\ round" DECIMAL, "draft order\ choice" DECIMAL, "player" TEXT, "position" TEXT, "height" TEXT, "weight" TEXT, "college" TEXT)
| which are the only players under six feet tall ? | SELECT "player" FROM table_204_612 WHERE "height" < 6 | SELECT "player" FROM "table_204_612" WHERE "height" < 6 | 0.053711 |
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
| After 10 A.M. , how many sections of MO 314 are there ? | SELECT COUNT(*) FROM course, course_offering, semester WHERE course_offering.start_time > '10:00:00' AND course.course_id = course_offering.course_id AND course.department = 'MO' AND course.number = 314 AND semester.semester = 'WN' AND semester.semester_id = course_offering.semester AND semester.year = 2016 | SELECT COUNT(*) FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" AND "course_offering"."start_time" > '10:00:00' JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'WN' AND "semester"."year" = 2016 WHERE "course"."department" = 'MO' AND "course"."number" = 314 | 0.347656 |
CREATE TABLE table_name_61 (position VARCHAR, country VARCHAR, pick VARCHAR)
| What position was picked for Canada on Pick 8? | SELECT position FROM table_name_61 WHERE country = "canada" AND pick = "8" | SELECT "position" FROM "table_name_61" WHERE "8" = "pick" AND "canada" = "country" | 0.080078 |
CREATE TABLE table_204_157 (id DECIMAL, "date" TEXT, "opponent#" TEXT, "rank#" TEXT, "site" TEXT, "result" TEXT)
| name one team below rank 2 | SELECT "opponent#" FROM table_204_157 WHERE "rank#" > 2 | SELECT "opponent#" FROM "table_204_157" WHERE "rank#" > 2 | 0.055664 |
CREATE TABLE table_name_12 (time VARCHAR, round VARCHAR, record VARCHAR)
| Which Time has a Round of 3, and a Record of 2 0? | SELECT time FROM table_name_12 WHERE round = 3 AND record = "2–0" | SELECT "time" FROM "table_name_12" WHERE "2–0" = "record" AND "round" = 3 | 0.071289 |
CREATE TABLE table_26218783_7 (points INT, player VARCHAR)
| What is the lowest points won from player victoria azarenka? | SELECT MIN(points) AS won FROM table_26218783_7 WHERE player = "Victoria Azarenka" | SELECT MIN("points") AS "won" FROM "table_26218783_7" WHERE "Victoria Azarenka" = "player" | 0.087891 |
CREATE TABLE table_1587 ("Character" TEXT, "Indianapolis Concerts" TEXT, "Sarasota" TEXT, "Broadway" TEXT, "Brighton Cast" TEXT)
| Name the indanapolis concerts for dr. alexandre manette | SELECT "Indianapolis Concerts" FROM table_1587 WHERE "Character" = 'Dr. Alexandre Manette' | SELECT "Indianapolis Concerts" FROM "table_1587" WHERE "Character" = 'Dr. Alexandre Manette' | 0.089844 |
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
| what ground transportation is available in DENVER | SELECT DISTINCT ground_service.transport_type FROM city, ground_service WHERE city.city_name = 'DENVER' AND ground_service.city_code = city.city_code | SELECT DISTINCT "ground_service"."transport_type" FROM "city" JOIN "ground_service" ON "city"."city_code" = "ground_service"."city_code" WHERE "city"."city_name" = 'DENVER' | 0.167969 |
CREATE TABLE table_2554 ("Team" TEXT, "Outgoing manager ( s ) " TEXT, "Manner of departure" TEXT, "Date of vacancy" TEXT, "Position in table" TEXT, "Replaced by" TEXT, "Date of appointment" TEXT)
| What is the date of vacancy for the person that left because of end of caretaker contract? | SELECT "Date of vacancy" FROM table_2554 WHERE "Manner of departure" = 'End of caretaker contract' | SELECT "Date of vacancy" FROM "table_2554" WHERE "Manner of departure" = 'End of caretaker contract' | 0.097656 |
CREATE TABLE table_54521 ("Species" TEXT, "Strain" TEXT, "Type" TEXT, "Base Pairs" FLOAT, "Genes" FLOAT)
| What is the average number of base pairs with 784 genes? | SELECT AVG("Base Pairs") FROM table_54521 WHERE "Genes" = '784' | SELECT AVG("Base Pairs") FROM "table_54521" WHERE "Genes" = '784' | 0.063477 |
CREATE TABLE table_45918 ("Date" TEXT, "Opponents" TEXT, "Venue" TEXT, "Result" TEXT, "Score F\\u2013A" TEXT)
| What was the Score F-A when the result was D? | SELECT "Score F\u2013A" FROM table_45918 WHERE "Result" = 'd' | SELECT "Score F\u2013A" FROM "table_45918" WHERE "Result" = 'd' | 0.061523 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| Give the number of patients aged below 85 years who have endoscopic insertion of stent (tube) into bile duct as their procedure long title. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.age < "85" AND procedures.long_title = "Endoscopic insertion of stent (tube) into bile duct" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Endoscopic insertion of stent (tube) into bile duct" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "85" > "demographic"."age" | 0.250977 |
CREATE TABLE table_19491 ("Pick #" FLOAT, "NFL Team" TEXT, "Player" TEXT, "Position" TEXT, "College" TEXT)
| What is the highest pick number? | SELECT MAX("Pick #") FROM table_19491 | SELECT MAX("Pick #") FROM "table_19491" | 0.038086 |
CREATE TABLE table_name_58 (total VARCHAR, player VARCHAR, to_par VARCHAR)
| What is the total for a to par bigger than 7 and a player of al geiberger? | SELECT COUNT(total) FROM table_name_58 WHERE player = "al geiberger" AND to_par > 7 | SELECT COUNT("total") FROM "table_name_58" WHERE "al geiberger" = "player" AND "to_par" > 7 | 0.088867 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
| provide the number of patients whose admission location is transfer from hosp/extram and their procedure name is closed biopsy of skin and subcutaneous tissue. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_location = "TRANSFER FROM HOSP/EXTRAM" AND procedures.long_title = "Closed biopsy of skin and subcutaneous tissue" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Closed biopsy of skin and subcutaneous tissue" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "TRANSFER FROM HOSP/EXTRAM" = "demographic"."admission_location" | 0.282227 |
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
| For those records from the products and each product's manufacturer, give me the comparison about the amount of founder over the founder , and group by attribute founder by a bar chart, show y axis in descending order. | SELECT Founder, COUNT(Founder) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Founder ORDER BY COUNT(Founder) DESC | SELECT "Founder", COUNT("Founder") FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Founder" ORDER BY COUNT("Founder") DESC NULLS LAST | 0.180664 |
CREATE TABLE table_4652 ("Res." TEXT, "Record" TEXT, "Opponent" TEXT, "Method" TEXT, "Event" TEXT, "Round" FLOAT, "Location" TEXT)
| Who has a Record of 5-2? | SELECT "Opponent" FROM table_4652 WHERE "Record" = '5-2' | SELECT "Opponent" FROM "table_4652" WHERE "Record" = '5-2' | 0.056641 |
CREATE TABLE table_56470 ("Driver" TEXT, "Constructor" TEXT, "Laps" FLOAT, "Time/retired" TEXT, "Grid" FLOAT)
| How many grids have a Constructor of talbot-lago - talbot, a Laps under 83, and a driver of johnny claes? | SELECT COUNT("Grid") FROM table_56470 WHERE "Constructor" = 'talbot-lago - talbot' AND "Laps" < '83' AND "Driver" = 'johnny claes' | SELECT COUNT("Grid") FROM "table_56470" WHERE "Constructor" = 'talbot-lago - talbot' AND "Driver" = 'johnny claes' AND "Laps" < '83' | 0.128906 |
CREATE TABLE table_51632 ("Date" TEXT, "Three" TEXT, "Four" TEXT, "Five" TEXT, "Seven" TEXT)
| Name the four for 6 march 1801 | SELECT "Four" FROM table_51632 WHERE "Date" = '6 march 1801' | SELECT "Four" FROM "table_51632" WHERE "Date" = '6 march 1801' | 0.060547 |
CREATE TABLE table_8242 ("Team" TEXT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Overall" FLOAT)
| what is the least silver when overall is less than 67, team is saami and gold is less than 5? | SELECT MIN("Silver") FROM table_8242 WHERE "Overall" < '67' AND "Team" = 'saami' AND "Gold" < '5' | SELECT MIN("Silver") FROM "table_8242" WHERE "Gold" < '5' AND "Overall" < '67' AND "Team" = 'saami' | 0.09668 |
CREATE TABLE table_22640051_3 (replaced_by VARCHAR, date_of_appointment VARCHAR)
| Name the replaced by for 8 july 2009 | SELECT replaced_by FROM table_22640051_3 WHERE date_of_appointment = "8 July 2009" | SELECT "replaced_by" FROM "table_22640051_3" WHERE "8 July 2009" = "date_of_appointment" | 0.085938 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| how many female patients have been admitted to hospital for more than 5 days? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "F" AND demographic.days_stay > "5" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "5" < "demographic"."days_stay" AND "F" = "demographic"."gender" | 0.135742 |
CREATE TABLE table_name_47 (ship_type VARCHAR, disposition_of_ship VARCHAR, tonnage VARCHAR)
| What is the Ship Type of the Prize Disposition of ship and a tonnage less than 151? | SELECT ship_type FROM table_name_47 WHERE disposition_of_ship = "prize" AND tonnage < 151 | SELECT "ship_type" FROM "table_name_47" WHERE "disposition_of_ship" = "prize" AND "tonnage" < 151 | 0.094727 |
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
| please show me the round trip flights from ST. PETERSBURG to TORONTO | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, flight, flight_fare WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'TORONTO' AND NOT fare.round_trip_cost IS NULL AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'ST. PETERSBURG' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'ST. PETERSBURG' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'TORONTO' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" AND NOT "fare"."round_trip_cost" IS NULL | 0.666992 |
CREATE TABLE table_74952 ("Rank" TEXT, "Nation" TEXT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| Which Nation has a Gold of 0, and a Bronze smaller than 6, and a Rank of 6? | SELECT "Nation" FROM table_74952 WHERE "Gold" = '0' AND "Bronze" < '6' AND "Rank" = '6' | SELECT "Nation" FROM "table_74952" WHERE "Bronze" < '6' AND "Gold" = '0' AND "Rank" = '6' | 0.086914 |
CREATE TABLE table_203_47 (id DECIMAL, "game" DECIMAL, "date" TEXT, "opponent" TEXT, "location" TEXT, "score" TEXT, "ot" TEXT, "attendance" DECIMAL, "record" TEXT)
| who was the opponent for game 2 ? | SELECT "opponent" FROM table_203_47 WHERE "game" = 2 | SELECT "opponent" FROM "table_203_47" WHERE "game" = 2 | 0.052734 |
CREATE TABLE table_23871828_1 (theme VARCHAR, week__number VARCHAR)
| List all themes from the top 9. | SELECT theme FROM table_23871828_1 WHERE week__number = "Top 9" | SELECT "theme" FROM "table_23871828_1" WHERE "Top 9" = "week__number" | 0.067383 |
CREATE TABLE table_19586 ("Number of episode" FLOAT, "Number of season" FLOAT, "Title ( original ) " TEXT, "Title ( English ) " TEXT, "Original air date" TEXT)
| What is the episode number where the English title is Pilot? | SELECT "Number of episode" FROM table_19586 WHERE "Title (English)" = 'Pilot' | SELECT "Number of episode" FROM "table_19586" WHERE "Title (English)" = 'Pilot' | 0.077148 |
CREATE TABLE table_34476 ("Year" FLOAT, "Class" TEXT, "Team name" TEXT, "Bike" TEXT, "Riders" TEXT, "Races" TEXT, "Wins" FLOAT, "Podiums" FLOAT, "Poles" FLOAT, "F.laps" FLOAT, "Points" TEXT, "Pos." TEXT)
| How many Poles have a Bike of honda rc212v, and Podiums smaller than 0? | SELECT COUNT("Poles") FROM table_34476 WHERE "Bike" = 'honda rc212v' AND "Podiums" < '0' | SELECT COUNT("Poles") FROM "table_34476" WHERE "Bike" = 'honda rc212v' AND "Podiums" < '0' | 0.087891 |
CREATE TABLE station_company (Station_ID INT, Company_ID INT, Rank_of_the_Year INT)
CREATE TABLE company (Company_ID INT, Rank INT, Company TEXT, Headquarters TEXT, Main_Industry TEXT, Sales_billion FLOAT, Profits_billion FLOAT, Assets_billion FLOAT, Market_Value FLOAT)
CREATE TABLE gas_station (Station_ID INT, Open_Year INT, Location TEXT, Manager_Name TEXT, Vice_Manager_Name TEXT, Representative_Name TEXT)
| How many companies in each headquarter? Plot a bar chart, I want to order in descending by the Headquarters please. | SELECT Headquarters, COUNT(Headquarters) FROM company GROUP BY Headquarters ORDER BY Headquarters DESC | SELECT "Headquarters", COUNT("Headquarters") FROM "company" GROUP BY "Headquarters" ORDER BY "Headquarters" DESC NULLS LAST | 0.120117 |
CREATE TABLE table_24282 ("Pick #" FLOAT, "CFL Team" TEXT, "Player" TEXT, "Position" TEXT, "College" TEXT)
| How many clf teams have a pick # of 5? | SELECT COUNT("CFL Team") FROM table_24282 WHERE "Pick #" = '5' | SELECT COUNT("CFL Team") FROM "table_24282" WHERE "Pick #" = '5' | 0.0625 |
CREATE TABLE table_20100 ("Club" TEXT, "Played" TEXT, "Won" TEXT, "Drawn" TEXT, "Lost" TEXT, "Points for" TEXT, "Points against" TEXT, "Points difference" TEXT, "Tries For" TEXT, "Tries Against" TEXT, "Try Bonus" TEXT, "Losing Bonus" TEXT, "Points" TEXT)
| How many games won for teams with 49 tries against? | SELECT "Won" FROM table_20100 WHERE "Tries Against" = '49' | SELECT "Won" FROM "table_20100" WHERE "Tries Against" = '49' | 0.058594 |
CREATE TABLE table_17942 ("Year" FLOAT, "Starts" FLOAT, "Wins ( Majors ) " TEXT, "2nd" FLOAT, "3rd" FLOAT, "Earnings ( $ ) " FLOAT, "Money list rank" TEXT, "Scoring average" TEXT)
| What is the money list rank for 1966? | SELECT "Money list rank" FROM table_17942 WHERE "Year" = '1966' | SELECT "Money list rank" FROM "table_17942" WHERE "Year" = '1966' | 0.063477 |
CREATE TABLE table_name_86 (goals_for INT, played INT)
| Which Goals For has a Played larger than 34? | SELECT MIN(goals_for) FROM table_name_86 WHERE played > 34 | SELECT MIN("goals_for") FROM "table_name_86" WHERE "played" > 34 | 0.0625 |
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
| how much is the change of patient 018-47575's hct last measured on the first hospital visit compared to the first value measured on the first hospital visit? | SELECT (SELECT lab.labresult FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '018-47575' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime LIMIT 1)) AND lab.labname = 'hct' ORDER BY lab.labresulttime DESC LIMIT 1) - (SELECT lab.labresult FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '018-47575' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime LIMIT 1)) AND lab.labname = 'hct' ORDER BY lab.labresulttime LIMIT 1) | SELECT (SELECT "lab"."labresult" FROM "lab" WHERE "lab"."labname" = 'hct' AND "lab"."patientunitstayid" IN (SELECT "patient"."patientunitstayid" FROM "patient" WHERE "patient"."patienthealthsystemstayid" IN (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '018-47575' AND NOT "patient"."hospitaldischargetime" IS NULL ORDER BY "patient"."hospitaladmittime" NULLS FIRST LIMIT 1)) ORDER BY "lab"."labresulttime" DESC NULLS LAST LIMIT 1) - (SELECT "lab"."labresult" FROM "lab" WHERE "lab"."labname" = 'hct' AND "lab"."patientunitstayid" IN (SELECT "patient"."patientunitstayid" FROM "patient" WHERE "patient"."patienthealthsystemstayid" IN (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '018-47575' AND NOT "patient"."hospitaldischargetime" IS NULL ORDER BY "patient"."hospitaladmittime" NULLS FIRST LIMIT 1)) ORDER BY "lab"."labresulttime" NULLS FIRST LIMIT 1) | 0.921875 |
CREATE TABLE Document_Types (document_type_code VARCHAR, document_description VARCHAR)
CREATE TABLE Grants (grant_id VARCHAR, grant_amount VARCHAR)
CREATE TABLE Documents (response_received_date VARCHAR, document_type_code VARCHAR, grant_id VARCHAR)
| What are the response received dates for the documents described as 'Regular' or granted with more than 100? | SELECT T1.response_received_date FROM Documents AS T1 JOIN Document_Types AS T2 ON T1.document_type_code = T2.document_type_code JOIN Grants AS T3 ON T1.grant_id = T3.grant_id WHERE T2.document_description = 'Regular' OR T3.grant_amount > 100 | SELECT "T1"."response_received_date" FROM "Documents" AS "T1" JOIN "Document_Types" AS "T2" ON "T1"."document_type_code" = "T2"."document_type_code" JOIN "Grants" AS "T3" ON "T1"."grant_id" = "T3"."grant_id" AND ("T2"."document_description" = 'Regular' OR "T3"."grant_amount" > 100) | 0.275391 |
CREATE TABLE table_name_97 (home_team VARCHAR, road_team VARCHAR, result VARCHAR)
| Which Home Team has a Road Team of rochester, and a Result of 71-78? | SELECT home_team FROM table_name_97 WHERE road_team = "rochester" AND result = "71-78" | SELECT "home_team" FROM "table_name_97" WHERE "71-78" = "result" AND "road_team" = "rochester" | 0.091797 |
CREATE TABLE university (School_ID INT, School TEXT, Location TEXT, Founded FLOAT, Affiliation TEXT, Enrollment FLOAT, Nickname TEXT, Primary_conference TEXT)
CREATE TABLE basketball_match (Team_ID INT, School_ID INT, Team_Name TEXT, ACC_Regular_Season TEXT, ACC_Percent TEXT, ACC_Home TEXT, ACC_Road TEXT, All_Games TEXT, All_Games_Percent INT, All_Home TEXT, All_Road TEXT, All_Neutral TEXT)
| Show me about the distribution of All_Neutral and Team_ID in a bar chart, and show bars in descending order please. | SELECT All_Neutral, Team_ID FROM basketball_match ORDER BY All_Neutral DESC | SELECT "All_Neutral", "Team_ID" FROM "basketball_match" ORDER BY "All_Neutral" DESC NULLS LAST | 0.091797 |
CREATE TABLE table_78970 ("Name" TEXT, "Code" TEXT, "Capacity" TEXT, "Configuration" TEXT, "Power" TEXT, "Torque" TEXT, "Top speed" TEXT, "Acceleration 0\\u2013100km/h ( 0\\u201362mph ) " TEXT)
| What is the capacity of code f4r? | SELECT "Capacity" FROM table_78970 WHERE "Code" = 'f4r' | SELECT "Capacity" FROM "table_78970" WHERE "Code" = 'f4r' | 0.055664 |
CREATE TABLE table_63917 ("Rank" FLOAT, "Nation" TEXT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| How many Gold medals did Puerto Rico receive with 1 Silver and a Total of 1 or less? | SELECT COUNT("Gold") FROM table_63917 WHERE "Silver" = '1' AND "Nation" = 'puerto rico' AND "Total" < '1' | SELECT COUNT("Gold") FROM "table_63917" WHERE "Nation" = 'puerto rico' AND "Silver" = '1' AND "Total" < '1' | 0.104492 |
CREATE TABLE table_name_41 (catalog_nr VARCHAR, title VARCHAR, format VARCHAR, label VARCHAR)
| What is the Catalog-Nr of the Epic Label Stereo LP named For Little Ones? | SELECT catalog_nr FROM table_name_41 WHERE format = "stereo lp" AND label = "epic" AND title = "for little ones" | SELECT "catalog_nr" FROM "table_name_41" WHERE "epic" = "label" AND "for little ones" = "title" AND "format" = "stereo lp" | 0.119141 |
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
| For those employees who did not have any job in the past, give me the comparison about the sum of salary over the hire_date bin hire_date by time, and could you rank by the y-axis in asc? | SELECT HIRE_DATE, SUM(SALARY) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) ORDER BY SUM(SALARY) | SELECT "HIRE_DATE", SUM("SALARY") FROM "employees" WHERE NOT "EMPLOYEE_ID" IN (SELECT "EMPLOYEE_ID" FROM "job_history") ORDER BY SUM("SALARY") NULLS FIRST | 0.150391 |
CREATE TABLE table_72366 ("District" TEXT, "Incumbent" TEXT, "Party" TEXT, "First elected" FLOAT, "Results" TEXT, "Candidates" TEXT)
| How many times did incumbent ruben hinojosa get elected? | SELECT COUNT("Results") FROM table_72366 WHERE "Incumbent" = 'Ruben Hinojosa' | SELECT COUNT("Results") FROM "table_72366" WHERE "Incumbent" = 'Ruben Hinojosa' | 0.077148 |
Subsets and Splits