schema stringlengths 28 5.65k | question stringlengths 0 990 | rejected stringlengths 2 4.44k | chosen stringlengths 4 9.17k | weight float64 0 8.95 |
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CREATE TABLE table_22815259_1 (record VARCHAR, cowboys_points VARCHAR)
| Name the number of record for 12 cowboys points | SELECT COUNT(record) FROM table_22815259_1 WHERE cowboys_points = 12 | SELECT COUNT("record") FROM "table_22815259_1" WHERE "cowboys_points" = 12 | 0.072266 |
CREATE TABLE table_41779 ("Date" TEXT, "Score" TEXT, "Set 1" TEXT, "Set 2" TEXT, "Set 3" TEXT, "Set 4" TEXT, "Set 5" TEXT, "Total" TEXT)
| What is Score, when Set 3 is 17-25? | SELECT "Score" FROM table_41779 WHERE "Set 3" = '17-25' | SELECT "Score" FROM "table_41779" WHERE "Set 3" = '17-25' | 0.055664 |
CREATE TABLE table_13763 ("Rank" FLOAT, "Name" TEXT, "1st run" TEXT, "2nd run" TEXT, "3rd run" TEXT, "Total" FLOAT)
| What average total has 41.241 (3) as the 1st run? | SELECT AVG("Total") FROM table_13763 WHERE "1st run" = '41.241 (3)' | SELECT AVG("Total") FROM "table_13763" WHERE "1st run" = '41.241 (3)' | 0.067383 |
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)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title ... | Provide the number of patients who were admitted before the year 2123 and had a lab test nonsquamous epithelial cell. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2123" AND lab.label = "NonSquamous Epithelial Cell" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "NonSquamous Epithelial Cell" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2123" > "demographic"."admityear" | 0.209961 |
CREATE TABLE table_50250 ("Institution" TEXT, "Location" TEXT, "Nickname" TEXT, "Enrollment" FLOAT, "Established" FLOAT)
| What is the average Enrollment of Dickinson College? | SELECT AVG("Enrollment") FROM table_50250 WHERE "Institution" = 'dickinson college' | SELECT AVG("Enrollment") FROM "table_50250" WHERE "Institution" = 'dickinson college' | 0.083008 |
CREATE TABLE table_53131 ("Driver" TEXT, "Constructor" TEXT, "Laps" TEXT, "Time/Retired" TEXT, "Grid" TEXT)
| Which time/retired has a grid of 9? | SELECT "Time/Retired" FROM table_53131 WHERE "Grid" = '9' | SELECT "Time/Retired" FROM "table_53131" WHERE "Grid" = '9' | 0.057617 |
CREATE TABLE table_43143 ("Date" TEXT, "Time" TEXT, "Home" TEXT, "Away" TEXT, "Score" TEXT, "Ground" TEXT)
| What was the date for the 130-56 game? | SELECT "Date" FROM table_43143 WHERE "Score" = '130-56' | SELECT "Date" FROM "table_43143" WHERE "Score" = '130-56' | 0.055664 |
CREATE TABLE table_203_687 (id DECIMAL, "#" DECIMAL, "title" TEXT, "time" TEXT, "performer ( s ) " TEXT, "songwriters" TEXT, "producer ( s ) " TEXT, "samples and notes" TEXT)
| what number of titles have talib kweli greene as a sole songwriter ? | SELECT COUNT("title") FROM table_203_687 WHERE "songwriters" = 'talib kweli greene' AND "songwriters" = 1 | SELECT COUNT("title") FROM "table_203_687" WHERE "songwriters" = 'talib kweli greene' AND "songwriters" = 1 | 0.104492 |
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
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 IN... | return from MIAMI to NEW YORK on FF on SATURDAY | 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, days, flight WHERE ((CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'MIAMI' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = '... | 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" = 'MIAMI' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "flight"."airline_code" = 'FF' JOIN "a... | 0.619141 |
CREATE TABLE table_13812785_8 (high_points VARCHAR, high_rebounds VARCHAR)
| Who had the most high points and rebounds than charles oakley (9)? | SELECT high_points FROM table_13812785_8 WHERE high_rebounds = "Charles Oakley (9)" | SELECT "high_points" FROM "table_13812785_8" WHERE "Charles Oakley (9)" = "high_rebounds" | 0.086914 |
CREATE TABLE table_name_77 (first_elected VARCHAR, incumbent VARCHAR)
| What year was Barclay Henley first elected? | SELECT COUNT(first_elected) FROM table_name_77 WHERE incumbent = "barclay henley" | SELECT COUNT("first_elected") FROM "table_name_77" WHERE "barclay henley" = "incumbent" | 0.084961 |
CREATE TABLE table_name_15 (pick INT, round VARCHAR, overall VARCHAR)
| What is the lowest pick with fewer than 3 rounds and more than 4 overall? | SELECT MIN(pick) FROM table_name_15 WHERE round < 3 AND overall > 4 | SELECT MIN("pick") FROM "table_name_15" WHERE "overall" > 4 AND "round" < 3 | 0.073242 |
CREATE TABLE table_1329532_2 (date_of_election VARCHAR, appointed_successor VARCHAR)
| What was the election date for H. Brent Coles? | SELECT date_of_election FROM table_1329532_2 WHERE appointed_successor = "H. Brent Coles" | SELECT "date_of_election" FROM "table_1329532_2" WHERE "H. Brent Coles" = "appointed_successor" | 0.092773 |
CREATE TABLE table_name_92 (ends_won VARCHAR, province VARCHAR, stolen_ends VARCHAR)
| What is the total number of Ends Won, when Province is 'Saskatchewan', and when Stolen Ends is less than 6? | SELECT COUNT(ends_won) FROM table_name_92 WHERE province = "saskatchewan" AND stolen_ends < 6 | SELECT COUNT("ends_won") FROM "table_name_92" WHERE "province" = "saskatchewan" AND "stolen_ends" < 6 | 0.098633 |
CREATE TABLE table_26920192_5 (fastest_lap VARCHAR, circuit VARCHAR)
| Who had the fastest lap for the circuit magione? | SELECT fastest_lap FROM table_26920192_5 WHERE circuit = "Magione" | SELECT "fastest_lap" FROM "table_26920192_5" WHERE "Magione" = "circuit" | 0.070313 |
CREATE TABLE table_name_5 (topic_of_the_show VARCHAR, date VARCHAR)
| What was the topic of the show on March 15, 2008? | SELECT topic_of_the_show FROM table_name_5 WHERE date = "march 15, 2008" | SELECT "topic_of_the_show" FROM "table_name_5" WHERE "date" = "march 15, 2008" | 0.076172 |
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugna... | in 2104 what were the five most frequent medications prescribed in the same month to the bladder ca female patients of age 60 or above after having been diagnosed with bladder ca? | SELECT t3.drugname FROM (SELECT t2.drugname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'bladder ca' AND STRFTIME('%y', diagnosis.diagnosis... | WITH "t2" AS (SELECT "patient"."uniquepid", "medication"."drugname", "medication"."drugstarttime" FROM "medication" JOIN "patient" ON "medication"."patientunitstayid" = "patient"."patientunitstayid" AND "patient"."age" >= 60 AND "patient"."gender" = 'female' WHERE STRFTIME('%y', "medication"."drugstarttime") = '2104'),... | 0.914063 |
CREATE TABLE table_203_510 (id DECIMAL, "township" TEXT, "fips" DECIMAL, "population\ center" TEXT, "population" DECIMAL, "population\ density\ ( /mi2 ) " DECIMAL, "population\ density\ ( /km2 ) " DECIMAL, "land area\ ( mi2 ) " DECIMAL, "land area\ ( km2 ) " DECIMAL, "water area\ ( mi2 ) " DECIMAL, "water area\ ( km2 )... | how much greater is the population of clark township than freeman township ? | SELECT (SELECT "population" FROM table_203_510 WHERE "township" = 'clark') - (SELECT "population" FROM table_203_510 WHERE "township" = 'freeman') | SELECT (SELECT "population" FROM "table_203_510" WHERE "township" = 'clark') - (SELECT "population" FROM "table_203_510" WHERE "township" = 'freeman') | 0.146484 |
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DEC... | when was first the respiration of patient 017-83061 measured since 02/10/2103? | SELECT vitalperiodic.observationtime FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '017-83061')) AND NOT vitalperiodic.respiration IS N... | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '017-83061' 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"."" ... | 0.693359 |
CREATE TABLE table_name_10 (soap_opera VARCHAR, years VARCHAR)
| what is the soap opera when the years are 2000 2004, 2005 ? | SELECT soap_opera FROM table_name_10 WHERE years = "2000–2004, 2005—" | SELECT "soap_opera" FROM "table_name_10" WHERE "2000–2004, 2005—" = "years" | 0.073242 |
CREATE TABLE Reviewer (rID INT, name TEXT)
CREATE TABLE Movie (mID INT, title TEXT, year INT, director TEXT)
CREATE TABLE Rating (rID INT, mID INT, stars INT, ratingDate DATE)
| Visualize the title and their total smallest ratings of the movie using a bar chart, order y axis from low to high order. | SELECT T2.title, SUM(MIN(T1.stars)) FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID GROUP BY T2.title ORDER BY SUM(MIN(T1.stars)) | SELECT "T2"."title", SUM(MIN("T1"."stars")) FROM "Rating" AS "T1" JOIN "Movie" AS "T2" ON "T1"."mID" = "T2"."mID" GROUP BY "T2"."title" ORDER BY SUM(MIN("T1"."stars")) NULLS FIRST | 0.174805 |
CREATE TABLE jobs (job_id TEXT, job_title TEXT, min_salary DECIMAL, max_salary DECIMAL)
CREATE TABLE regions (region_id DECIMAL, region_name TEXT)
CREATE TABLE locations (location_id DECIMAL, street_address TEXT, postal_code TEXT, city TEXT, state_province TEXT, country_id TEXT)
CREATE TABLE employees (employee_id DECI... | display job title and average salary of employees. | SELECT job_title, AVG(salary) FROM employees AS T1 JOIN jobs AS T2 ON T1.job_id = T2.job_id GROUP BY T2.job_title | SELECT "job_title", AVG("salary") FROM "employees" AS "T1" JOIN "jobs" AS "T2" ON "T1"."job_id" = "T2"."job_id" GROUP BY "T2"."job_title" | 0.133789 |
CREATE TABLE table_73835 ("meas. num" FLOAT, "passed" TEXT, "YES votes" FLOAT, "NO votes" FLOAT, "% YES" TEXT, "Const. Amd.?" TEXT, "type" TEXT, "description" TEXT)
| what is the measure number for the init type? | SELECT "meas. num" FROM table_73835 WHERE "type" = 'Init' | SELECT "meas. num" FROM "table_73835" WHERE "type" = 'Init' | 0.057617 |
CREATE TABLE table_name_67 (bronze INT, gold VARCHAR, silver VARCHAR)
| What is the total amount of bronze medals a team with 1 gold and more than 3 silver medals has? | SELECT SUM(bronze) FROM table_name_67 WHERE gold = 1 AND silver > 3 | SELECT SUM("bronze") FROM "table_name_67" WHERE "gold" = 1 AND "silver" > 3 | 0.073242 |
CREATE TABLE ship (Ship_ID INT, Name TEXT, Type TEXT, Nationality TEXT, Tonnage INT)
CREATE TABLE mission (Mission_ID INT, Ship_ID INT, Code TEXT, Launched_Year INT, Location TEXT, Speed_knots INT, Fate TEXT)
| What is the total number of different nationalities of all ships? Give me a bar graph, list X-axis in desc order. | SELECT Nationality, COUNT(Nationality) FROM ship GROUP BY Nationality ORDER BY Nationality DESC | SELECT "Nationality", COUNT("Nationality") FROM "ship" GROUP BY "Nationality" ORDER BY "Nationality" DESC NULLS LAST | 0.113281 |
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 medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugna... | what is the monthly average dose of 3 percent nacl_c that patient 025-53970 has taken? | SELECT AVG(intakeoutput.cellvaluenumeric) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '025-53970')) AND intakeoutput.celllabel = '3 per... | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '025-53970' 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"."" ... | 0.671875 |
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid... | did patient 015-910 undergone a external fixation device procedure in 2105? | SELECT COUNT(*) > 0 FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '015-910')) AND treatment.treatmentname = 'external fixation device' AND STRF... | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '015-910' 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... | 0.597656 |
CREATE TABLE tourist_attractions (tourist_attraction_id DECIMAL, attraction_type_code TEXT, location_id DECIMAL, how_to_get_there TEXT, name TEXT, description TEXT, opening_hours TEXT, other_details TEXT)
CREATE TABLE photos (photo_id DECIMAL, tourist_attraction_id DECIMAL, name TEXT, description TEXT, filename TEXT, o... | Tell me the name of the staff in charge of the attraction called 'US museum'. | SELECT T1.name FROM staff AS T1 JOIN tourist_attractions AS T2 ON T1.tourist_attraction_id = T2.tourist_attraction_id WHERE T2.name = "US museum" | SELECT "T1"."name" FROM "staff" AS "T1" JOIN "tourist_attractions" AS "T2" ON "T1"."tourist_attraction_id" = "T2"."tourist_attraction_id" AND "T2"."name" = "US museum" | 0.163086 |
CREATE TABLE table_32195 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
| On what date did Brunswick Street Oval see more than 19,500 people? | SELECT "Date" FROM table_32195 WHERE "Crowd" > '19,500' AND "Venue" = 'brunswick street oval' | SELECT "Date" FROM "table_32195" WHERE "Crowd" > '19,500' AND "Venue" = 'brunswick street oval' | 0.092773 |
CREATE TABLE table_34021 ("Rank" TEXT, "City" TEXT, "Population" FLOAT, "Area ( km 2 ) " FLOAT, "Density ( inhabitants/km 2 ) " FLOAT, "Altitude ( mslm ) " FLOAT)
| What is the average area of the city that has a density less than than 206.2 and an altitude of less than 85? | SELECT AVG("Area (km 2 )") FROM table_34021 WHERE "Density (inhabitants/km 2 )" < '206.2' AND "Altitude (mslm)" < '85' | SELECT AVG("Area (km 2 )") FROM "table_34021" WHERE "Altitude (mslm)" < '85' AND "Density (inhabitants/km 2 )" < '206.2' | 0.117188 |
CREATE TABLE table_55484 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
| What is Fitzroy's smallest crowd size? | SELECT MIN("Crowd") FROM table_55484 WHERE "Home team" = 'fitzroy' | SELECT MIN("Crowd") FROM "table_55484" WHERE "Home team" = 'fitzroy' | 0.066406 |
CREATE TABLE table_15018 ("Country" TEXT, "Film title used in nomination" TEXT, "Language" TEXT, "Original name" TEXT, "Director" TEXT)
| What is the real name of the movie about love? | SELECT "Original name" FROM table_15018 WHERE "Film title used in nomination" = 'love' | SELECT "Original name" FROM "table_15018" WHERE "Film title used in nomination" = 'love' | 0.085938 |
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport T... | show me all flights from PHILADELPHIA to DENVER on sunday which leave PHILADELPHIA after 1200 | 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, date_day, days, flight WHERE ((date_day.day_number = 27 AND date_day.month_number = 8 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.departure_time... | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 27 AND "date_day"."month_number" = 8 AND "date_day"."year" = 1991 JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'PHILADELPHIA' JO... | 0.745117 |
CREATE TABLE table_12305325_4 (safe VARCHAR, eliminated VARCHAR)
| Who is safe if John and Nicole are eliminated? | SELECT safe FROM table_12305325_4 WHERE eliminated = "John and Nicole" | SELECT "safe" FROM "table_12305325_4" WHERE "John and Nicole" = "eliminated" | 0.074219 |
CREATE TABLE table_73970 ("No." FLOAT, "#" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Patient Portrayer" TEXT, "Original air date" TEXT, "Production code" FLOAT)
| How many episodes are numbered 4 in the season? | SELECT COUNT("Patient Portrayer") FROM table_73970 WHERE "#" = '4' | SELECT COUNT("Patient Portrayer") FROM "table_73970" WHERE "#" = '4' | 0.066406 |
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL... | Migration notes in schema at Data.SE. http://meta.stackexchange.com/questions/280576/migration-notes-in-schema-at-data-se | SELECT PostId AS "post_link", CreationDate, PostHistoryTypeId AS "type", CASE WHEN PostHistoryTypeId = 35 THEN 'Away' WHEN PostHistoryTypeId = 36 THEN 'Here' END AS migrated, Comment FROM PostHistory WHERE PostId = '##postid:int?36025884##' | SELECT "PostId" AS "post_link", "CreationDate", "PostHistoryTypeId" AS "type", CASE WHEN "PostHistoryTypeId" = 35 THEN 'Away' WHEN "PostHistoryTypeId" = 36 THEN 'Here' END AS "migrated", "Comment" FROM "PostHistory" WHERE "PostId" = '##postid:int?36025884##' | 0.251953 |
CREATE TABLE table_22491 ("Township" TEXT, "County" TEXT, "Pop. ( 2010 ) " FLOAT, "Land ( sqmi ) " TEXT, "Water ( sqmi ) " TEXT, "Latitude" TEXT, "Longitude" TEXT, "GEO ID" FLOAT, "ANSI code" FLOAT)
| Name the number of county for 90 population | SELECT COUNT("County") FROM table_22491 WHERE "Pop. (2010)" = '90' | SELECT COUNT("County") FROM "table_22491" WHERE "Pop. (2010)" = '90' | 0.066406 |
CREATE TABLE status (station_id INT, bikes_available INT, docks_available INT, time TEXT)
CREATE TABLE station (id INT, name TEXT, lat DECIMAL, long DECIMAL, dock_count INT, city TEXT, installation_date TEXT)
CREATE TABLE weather (date TEXT, max_temperature_f INT, mean_temperature_f INT, min_temperature_f INT, max_dew_... | Show the number of stations installed change over the installation date of in station table using a line chart, order by the x-axis from high to low. | SELECT installation_date, COUNT(installation_date) FROM station GROUP BY installation_date ORDER BY installation_date DESC | SELECT "installation_date", COUNT("installation_date") FROM "station" GROUP BY "installation_date" ORDER BY "installation_date" DESC NULLS LAST | 0.139648 |
CREATE TABLE table_204_613 (id DECIMAL, "title" TEXT, "year" DECIMAL, "peak chart positions\ us" DECIMAL, "peak chart positions\ us\ r&b" DECIMAL, "peak chart positions\ us\ rap" DECIMAL, "album" TEXT)
| how many singles were released in 2011 ? | SELECT COUNT("title") FROM table_204_613 WHERE "year" = 2011 | SELECT COUNT("title") FROM "table_204_613" WHERE "year" = 2011 | 0.060547 |
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, ... | most reputation with no views in a site. | EXEC(@sql) | EXEC($sql) | 0.009766 |
CREATE TABLE table_13943239_1 (location VARCHAR, episode VARCHAR)
| Where was held the ceremony for the 12th Pride of Britain Awards? | SELECT location FROM table_13943239_1 WHERE episode = "12th Pride of Britain Awards" | SELECT "location" FROM "table_13943239_1" WHERE "12th Pride of Britain Awards" = "episode" | 0.087891 |
CREATE TABLE table_52534 ("Number & name" TEXT, "Description" TEXT, "Current status" TEXT, "Livery" TEXT, "Date" FLOAT)
| What description does Livery of ews have? | SELECT "Description" FROM table_52534 WHERE "Livery" = 'ews' | SELECT "Description" FROM "table_52534" WHERE "Livery" = 'ews' | 0.060547 |
CREATE TABLE table_name_43 (date VARCHAR, away VARCHAR)
| What is Date, when Away is High Park Demons? | SELECT date FROM table_name_43 WHERE away = "high park demons" | SELECT "date" FROM "table_name_43" WHERE "away" = "high park demons" | 0.066406 |
CREATE TABLE table_name_30 (league_a VARCHAR, years VARCHAR)
| What is the League a for 1908 1928? | SELECT league_a FROM table_name_30 WHERE years = "1908–1928" | SELECT "league_a" FROM "table_name_30" WHERE "1908–1928" = "years" | 0.064453 |
CREATE TABLE table_2538117_12 (letters VARCHAR, founding_date VARCHAR)
| How many letters were given to the organization with a founding date of 1997-12-12? | SELECT COUNT(letters) FROM table_2538117_12 WHERE founding_date = "1997-12-12" | SELECT COUNT("letters") FROM "table_2538117_12" WHERE "1997-12-12" = "founding_date" | 0.082031 |
CREATE TABLE table_name_15 (opponents_in_final VARCHAR, date VARCHAR, outcome VARCHAR, surface VARCHAR)
| Which Opponents in Final has an Outcome of winner, and a Surface of hard, and a Date of april 17, 1994? | SELECT opponents_in_final FROM table_name_15 WHERE outcome = "winner" AND surface = "hard" AND date = "april 17, 1994" | SELECT "opponents_in_final" FROM "table_name_15" WHERE "april 17, 1994" = "date" AND "hard" = "surface" AND "outcome" = "winner" | 0.125 |
CREATE TABLE swimmer (ID INT, name TEXT, Nationality TEXT, meter_100 FLOAT, meter_200 TEXT, meter_300 TEXT, meter_400 TEXT, meter_500 TEXT, meter_600 TEXT, meter_700 TEXT, Time TEXT)
CREATE TABLE stadium (ID INT, name TEXT, Capacity INT, City TEXT, Country TEXT, Opening_year INT)
CREATE TABLE event (ID INT, Name TEXT, ... | Show me the total number by country in a histogram, could you order in desc by the names? | SELECT Country, COUNT(*) FROM stadium GROUP BY Country ORDER BY Country DESC | SELECT "Country", COUNT(*) FROM "stadium" GROUP BY "Country" ORDER BY "Country" DESC NULLS LAST | 0.092773 |
CREATE TABLE table_1805191_36 (results VARCHAR, incumbent VARCHAR)
| What are the results of those elections for which Marcy Kaptur is the incumbent? | SELECT results FROM table_1805191_36 WHERE incumbent = "Marcy Kaptur" | SELECT "results" FROM "table_1805191_36" WHERE "Marcy Kaptur" = "incumbent" | 0.073242 |
CREATE TABLE table_75448 ("Celebrity" TEXT, "Famous for" TEXT, "Entered" TEXT, "Exited" TEXT, "Finished" TEXT)
| What celebrity is famous for being an actor? | SELECT "Celebrity" FROM table_75448 WHERE "Famous for" = 'actor' | SELECT "Celebrity" FROM "table_75448" WHERE "Famous for" = 'actor' | 0.064453 |
CREATE TABLE table_train_253 ("id" INT, "pregnancy_or_lactation" BOOLEAN, "pre_eclampsia" BOOLEAN, "acute_ischemia" BOOLEAN, "pre_gestational_hypertension" BOOLEAN, "diabetic" TEXT, "smoking" BOOLEAN, "coronary_artery_disease_cad" BOOLEAN, "NOUSE" FLOAT)
| pregnant female with pre _ eclampsia during current pregnancy. | SELECT * FROM table_train_253 WHERE pregnancy_or_lactation = 1 AND pre_eclampsia = 1 | SELECT * FROM "table_train_253" WHERE "pre_eclampsia" = 1 AND "pregnancy_or_lactation" = 1 | 0.087891 |
CREATE TABLE table_47026 ("Branding" TEXT, "Callsign" TEXT, "Frequency" TEXT, "Power ( kW ) " TEXT, "Location" TEXT)
| What is the frequency for the station with the branding of 94dot3 home radio Palawan? | SELECT "Frequency" FROM table_47026 WHERE "Branding" = '94dot3 home radio palawan' | SELECT "Frequency" FROM "table_47026" WHERE "Branding" = '94dot3 home radio palawan' | 0.082031 |
CREATE TABLE table_46594 ("Res." TEXT, "Record" TEXT, "Opponent" TEXT, "Method" TEXT, "Event" TEXT, "Round" FLOAT, "Time" TEXT, "Location" TEXT)
| What is the record for the Ko (head kick) method? | SELECT "Record" FROM table_46594 WHERE "Method" = 'ko (head kick)' | SELECT "Record" FROM "table_46594" WHERE "Method" = 'ko (head kick)' | 0.066406 |
CREATE TABLE table_7185 ("Date" TEXT, "Opponent" TEXT, "Venue" TEXT, "Result" TEXT, "Attendance" FLOAT)
| What is the Venue with an Attendance that is larger than 6,938? | SELECT "Venue" FROM table_7185 WHERE "Attendance" > '6,938' | SELECT "Venue" FROM "table_7185" WHERE "Attendance" > '6,938' | 0.05957 |
CREATE TABLE table_64892 ("Size" TEXT, "Density" TEXT, "Tracks" FLOAT, "Coercivity" TEXT, "Unformatted capacity per side" TEXT)
| How many tracks have an unformatted capacity per side of 2000kb? | SELECT COUNT("Tracks") FROM table_64892 WHERE "Unformatted capacity per side" = '2000kb' | SELECT COUNT("Tracks") FROM "table_64892" WHERE "Unformatted capacity per side" = '2000kb' | 0.087891 |
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id 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... | Are there any courses that are worth 6 credits ? | SELECT DISTINCT name, number FROM course WHERE credits = 6 AND department = 'EECS' | SELECT DISTINCT "name", "number" FROM "course" WHERE "credits" = 6 AND "department" = 'EECS' | 0.089844 |
CREATE TABLE table_name_35 (total INT, nation VARCHAR, silver VARCHAR)
| What is the total that wehn Lithuania is the nation, and Silver is more than 0? | SELECT MIN(total) FROM table_name_35 WHERE nation = "lithuania" AND silver > 0 | SELECT MIN("total") FROM "table_name_35" WHERE "lithuania" = "nation" AND "silver" > 0 | 0.083984 |
CREATE TABLE table_8090 ("Season" TEXT, "President" TEXT, "General Sec" TEXT, "Treasurer" TEXT, "Fixtures Sec" TEXT, "Social Sec Bradford" TEXT, "Social Sec Leeds" TEXT, "Media Officer" TEXT)
| Name the Fixtures Sec which has a Season of 2009 2010 | SELECT "Fixtures Sec" FROM table_8090 WHERE "Season" = '2009–2010' | SELECT "Fixtures Sec" FROM "table_8090" WHERE "Season" = '2009–2010' | 0.066406 |
CREATE TABLE bridge (LOCATION VARCHAR, name VARCHAR)
| What is the location of the bridge named 'Kolob Arch' or 'Rainbow Bridge'? | SELECT LOCATION FROM bridge WHERE name = 'Kolob Arch' OR name = 'Rainbow Bridge' | SELECT "LOCATION" FROM "bridge" WHERE "name" = 'Kolob Arch' OR "name" = 'Rainbow Bridge' | 0.085938 |
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DE... | For those employees who did not have any job in the past, give me the comparison about the average of department_id over the job_id , and group by attribute job_id by a bar chart. | SELECT JOB_ID, AVG(DEPARTMENT_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) GROUP BY JOB_ID | SELECT "JOB_ID", AVG("DEPARTMENT_ID") FROM "employees" WHERE NOT "EMPLOYEE_ID" IN (SELECT "EMPLOYEE_ID" FROM "job_history") GROUP BY "JOB_ID" | 0.137695 |
CREATE TABLE table_50988 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "Location Attendance" TEXT, "Record" TEXT)
| What is the loaction attendance that has a game greater than 35, with January 30 as the date? | SELECT "Location Attendance" FROM table_50988 WHERE "Game" > '35' AND "Date" = 'january 30' | SELECT "Location Attendance" FROM "table_50988" WHERE "Date" = 'january 30' AND "Game" > '35' | 0.09082 |
CREATE TABLE table_52225 ("Tournament" TEXT, "Wins" FLOAT, "Top-5" FLOAT, "Top-10" FLOAT, "Top-25" FLOAT, "Events" FLOAT, "Cuts made" FLOAT)
| Name the highest cuts made when top 5 is less than 3 and top ten is more than 4 | SELECT MAX("Cuts made") FROM table_52225 WHERE "Top-5" < '3' AND "Top-10" > '4' | SELECT MAX("Cuts made") FROM "table_52225" WHERE "Top-10" > '4' AND "Top-5" < '3' | 0.079102 |
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TE... | 500 Longest questions with score and poster rep since 2013-01-01. | SELECT Id AS "post_link", LENGTH(Body) AS Length, Score, UserRep = (SELECT Reputation FROM Users WHERE Id = OwnerUserId) FROM Posts WHERE PostTypeId = 1 AND CreationDate > 2013 - 01 - 01 ORDER BY LENGTH(Body) DESC LIMIT 500 | SELECT "Id" AS "post_link", LENGTH("Body") AS "Length", "Score", "UserRep" = (SELECT "Reputation" FROM "Users" WHERE "Id" = "OwnerUserId") FROM "Posts" WHERE "CreationDate" > 2011 AND "PostTypeId" = 1 ORDER BY LENGTH("Body") DESC NULLS LAST LIMIT 500 | 0.244141 |
CREATE TABLE table_25695027_1 (class VARCHAR, years_built VARCHAR)
| What was the engine class that was built on 1906-08? | SELECT class FROM table_25695027_1 WHERE years_built = "1906-08" | SELECT "class" FROM "table_25695027_1" WHERE "1906-08" = "years_built" | 0.068359 |
CREATE TABLE table_3314 ("Position" FLOAT, "Sail number" TEXT, "Yacht" TEXT, "State/country" TEXT, "Yacht type" TEXT, "LOA ( Metres ) " TEXT, "Skipper" TEXT, "Corrected time d:hh:mm:ss" TEXT)
| How many LOA metres were there when the skipper is lou abrahams? | SELECT "LOA (Metres)" FROM table_3314 WHERE "Skipper" = 'Lou Abrahams' | SELECT "LOA (Metres)" FROM "table_3314" WHERE "Skipper" = 'Lou Abrahams' | 0.070313 |
CREATE TABLE table_34137 ("Year" TEXT, "Title" TEXT, "Director" TEXT, "Distributor ( s ) " TEXT, "Box office" TEXT)
| What movie earned $1,659,542 at the box office? | SELECT "Title" FROM table_34137 WHERE "Box office" = '$1,659,542' | SELECT "Title" FROM "table_34137" WHERE "Box office" = '$1,659,542' | 0.06543 |
CREATE TABLE table_58908 ("Name" TEXT, "Pos." TEXT, "Height" TEXT, "Weight" TEXT, "Date of Birth" TEXT, "Club" TEXT)
| What is the Weight of the Player with a Date of Birth of 1979-09-26? | SELECT "Weight" FROM table_58908 WHERE "Date of Birth" = '1979-09-26' | SELECT "Weight" FROM "table_58908" WHERE "Date of Birth" = '1979-09-26' | 0.069336 |
CREATE TABLE table_15928 ("County" TEXT, "English name" TEXT, "Irish name" TEXT, "Population" FLOAT, "Irish speakers" TEXT)
| What is the Irish name listed with 62% Irish speakers? | SELECT "Irish name" FROM table_15928 WHERE "Irish speakers" = '62%' | SELECT "Irish name" FROM "table_15928" WHERE "Irish speakers" = '62%' | 0.067383 |
CREATE TABLE film (film_id DECIMAL, rank_in_series DECIMAL, number_in_season DECIMAL, title TEXT, directed_by TEXT, original_air_date TEXT, production_code TEXT)
CREATE TABLE schedule (cinema_id DECIMAL, film_id DECIMAL, date TEXT, show_times_per_day DECIMAL, price DECIMAL)
CREATE TABLE cinema (cinema_id DECIMAL, name ... | What is total number of show times per dat for each cinema? | SELECT T2.name, SUM(T1.show_times_per_day) FROM schedule AS T1 JOIN cinema AS T2 ON T1.cinema_id = T2.cinema_id GROUP BY T1.cinema_id | SELECT "T2"."name", SUM("T1"."show_times_per_day") FROM "schedule" AS "T1" JOIN "cinema" AS "T2" ON "T1"."cinema_id" = "T2"."cinema_id" GROUP BY "T1"."cinema_id" | 0.157227 |
CREATE TABLE table_68048 ("Rank" FLOAT, "Population" FLOAT, "Name" TEXT, "Former Name" TEXT, "Municipality" TEXT)
| Name the former name for 49 rank | SELECT "Former Name" FROM table_68048 WHERE "Rank" = '49' | SELECT "Former Name" FROM "table_68048" WHERE "Rank" = '49' | 0.057617 |
CREATE TABLE table_17620 ("Number in series" FLOAT, "Broadcast Order" TEXT, "Title" TEXT, "Villain/s" TEXT, "U.S. Air Date" TEXT, "Production Code" TEXT)
| What's the number of episodes with a broadcast order s04 e07? | SELECT COUNT("Number in series") FROM table_17620 WHERE "Broadcast Order" = 'S04 E07' | SELECT COUNT("Number in series") FROM "table_17620" WHERE "Broadcast Order" = 'S04 E07' | 0.084961 |
CREATE TABLE table_62752 ("Rank" FLOAT, "Lane" FLOAT, "Name" TEXT, "Nationality" TEXT, "Time" TEXT)
| How many ranks have chen yin as the name, with a lane greater than 8? | SELECT SUM("Rank") FROM table_62752 WHERE "Name" = 'chen yin' AND "Lane" > '8' | SELECT SUM("Rank") FROM "table_62752" WHERE "Lane" > '8' AND "Name" = 'chen yin' | 0.078125 |
CREATE TABLE table_name_20 (rank INT, games_played INT)
| What is the rank of the person with more than 5 games played? | SELECT SUM(rank) FROM table_name_20 WHERE games_played > 5 | SELECT SUM("rank") FROM "table_name_20" WHERE "games_played" > 5 | 0.0625 |
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, T... | My Keystrokes per rep point. | SELECT u.Id AS "user_link", (SUM(COALESCE(DATALENGTH(p.Body), 0)) + SUM(COALESCE(DATALENGTH(p.Title), 0))) AS keystrokes, u.Reputation, (SUM(COALESCE(DATALENGTH(p.Body), 0)) + SUM(COALESCE(DATALENGTH(p.Title), 0))) / u.Reputation AS rate FROM Users AS u INNER JOIN Posts AS p ON p.OwnerUserId = u.Id WHERE u.Id = @UserId... | SELECT "u"."Id" AS "user_link", SUM(COALESCE(DATALENGTH("p"."Body"), 0)) + SUM(COALESCE(DATALENGTH("p"."Title"), 0)) AS "keystrokes", "u"."Reputation", (SUM(COALESCE(DATALENGTH("p"."Body"), 0)) + SUM(COALESCE(DATALENGTH("p"."Title"), 0))) / NULLIF("u"."Reputation", 0) AS "rate" FROM "Users" AS "u" JOIN "Posts" AS "p" O... | 0.428711 |
CREATE TABLE table_1622 ("Official Name" TEXT, "Status" TEXT, "Area km 2" TEXT, "Population" FLOAT, "Census Ranking" TEXT)
| Name the total number of status for eldon | SELECT COUNT("Status") FROM table_1622 WHERE "Official Name" = 'Eldon' | SELECT COUNT("Status") FROM "table_1622" WHERE "Official Name" = 'Eldon' | 0.070313 |
CREATE TABLE table_204_99 (id DECIMAL, "#" DECIMAL, "club" TEXT, "winner" DECIMAL, "last win" DECIMAL, "runner-up" DECIMAL, "last losing final" DECIMAL)
| what club is before saipa ? | SELECT "club" FROM table_204_99 WHERE id = (SELECT id FROM table_204_99 WHERE "club" = 'saipa') - 1 | SELECT "club" FROM "table_204_99" WHERE "id" = (SELECT "id" FROM "table_204_99" WHERE "club" = 'saipa') - 1 | 0.104492 |
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 lab (subject_id TEXT, hadm_id TEXT, itemid TE... | how many patients were admitted on clinic referral/premature? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_location = "CLINIC REFERRAL/PREMATURE" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "CLINIC REFERRAL/PREMATURE" = "demographic"."admission_location" | 0.135742 |
CREATE TABLE table_203_320 (id DECIMAL, "rank in\ 2011" DECIMAL, "name of\ concern" TEXT, "location of\ headquarters" TEXT, "revenue\ ( thou.\ pln ) " DECIMAL, "profit\ ( thou.\ pln ) " DECIMAL, "employees" DECIMAL)
| what is the number of employees who work for pgnig sa ? | SELECT "employees" FROM table_203_320 WHERE "name of\nconcern" = 'pgnig sa' | SELECT "employees" FROM "table_203_320" WHERE "name of\nconcern" = 'pgnig sa' | 0.075195 |
CREATE TABLE table_28223 ("Region" TEXT, "Land area ( km 2 ) " TEXT, "Rainfall by depth ( mm/year ) " FLOAT, "Rainfall by volume ( km 3 /year ) " TEXT, "Surface run off ( km 3 /year ) " TEXT, "Infiltration ( km 3 /year ) " TEXT, "Evapotranspiration ( km 3 /year ) " TEXT)
| In the region where the rainfall by volume (km 3 /year) was 13.2, what was the evapotranspiration (km 3 /year)? | SELECT "Evapotranspiration (km 3 /year)" FROM table_28223 WHERE "Rainfall by volume (km 3 /year)" = '13.2' | SELECT "Evapotranspiration (km 3 /year)" FROM "table_28223" WHERE "Rainfall by volume (km 3 /year)" = '13.2' | 0.105469 |
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 s... | what flights are there wednesday morning from ATLANTA to PHILADELPHIA | 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, date_day, days, flight WHERE ((CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'PHILADELPHIA' AND date_day.day_number = 23 AND date_day.month_number = 4... | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 23 AND "date_day"."month_number" = 4 AND "date_day"."year" = 1991 JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'ATLANTA' JOIN "d... | 0.78125 |
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... | what is the number of patients whose days of hospital stay is greater than 7 and lab test name is carboxyhemoglobin? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.days_stay > "7" AND lab.label = "Carboxyhemoglobin" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Carboxyhemoglobin" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "7" < "demographic"."days_stay" | 0.197266 |
CREATE TABLE playlists (id DECIMAL, name TEXT)
CREATE TABLE artists (id DECIMAL, name TEXT)
CREATE TABLE customers (id DECIMAL, first_name TEXT, last_name TEXT, company TEXT, address TEXT, city TEXT, state TEXT, country TEXT, postal_code TEXT, phone TEXT, fax TEXT, email TEXT, support_rep_id DECIMAL)
CREATE TABLE media... | Find the name of tracks which are in Movies playlist but not in music playlist. | SELECT T1.name FROM tracks AS T1 JOIN playlist_tracks AS T2 ON T1.id = T2.track_id JOIN playlists AS T3 ON T2.playlist_id = T3.id WHERE T3.name = 'Movies' EXCEPT SELECT T1.name FROM tracks AS T1 JOIN playlist_tracks AS T2 ON T1.id = T2.track_id JOIN playlists AS T3 ON T2.playlist_id = T3.id WHERE T3.name = 'Music' | SELECT "T1"."name" FROM "tracks" AS "T1" JOIN "playlist_tracks" AS "T2" ON "T1"."id" = "T2"."track_id" JOIN "playlists" AS "T3" ON "T2"."playlist_id" = "T3"."id" AND "T3"."name" = 'Movies' EXCEPT SELECT "T1"."name" FROM "tracks" AS "T1" JOIN "playlist_tracks" AS "T2" ON "T1"."id" = "T2"."track_id" JOIN "playlists" AS "... | 0.374023 |
CREATE TABLE Agreements (Document_ID INT, Event_ID INT)
CREATE TABLE Assets (Asset_ID INT, Other_Details VARCHAR)
CREATE TABLE Events (Event_ID INT, Address_ID INT, Channel_ID INT, Event_Type_Code CHAR, Finance_ID INT, Location_ID INT)
CREATE TABLE Assets_in_Events (Asset_ID INT, Event_ID INT)
CREATE TABLE Locations (L... | A pie chart for listing the number of the names of products that are not in any event. | SELECT Product_Name, COUNT(Product_Name) FROM Products WHERE NOT Product_ID IN (SELECT Product_ID FROM Products_in_Events) GROUP BY Product_Name | SELECT "Product_Name", COUNT("Product_Name") FROM "Products" WHERE NOT "Product_ID" IN (SELECT "Product_ID" FROM "Products_in_Events") GROUP BY "Product_Name" | 0.154297 |
CREATE TABLE aircraft (aid DECIMAL, name TEXT, distance DECIMAL)
CREATE TABLE employee (eid DECIMAL, name TEXT, salary DECIMAL)
CREATE TABLE flight (flno DECIMAL, origin TEXT, destination TEXT, distance DECIMAL, departure_date TIME, arrival_date TIME, price DECIMAL, aid DECIMAL)
CREATE TABLE certificate (eid DECIMAL, a... | What is the name and salary for employee with id 242518965? | SELECT name, salary FROM employee WHERE eid = 242518965 | SELECT "name", "salary" FROM "employee" WHERE "eid" = 242518965 | 0.061523 |
CREATE TABLE AssignedTo (Scientist INT, Project CHAR)
CREATE TABLE Scientists (SSN INT, Name CHAR)
CREATE TABLE Projects (Code CHAR, Name CHAR, Hours INT)
| Find the name of the project for which a scientist whose name contains Smith is assigned to, and count them by a bar chart, and show by the how many name in descending please. | SELECT T2.Name, COUNT(T2.Name) FROM AssignedTo AS T1 JOIN Projects AS T2 ON T1.Project = T2.Code JOIN Scientists AS T3 ON T1.Scientist = T3.SSN WHERE T3.Name LIKE '%Smith%' GROUP BY T2.Name ORDER BY COUNT(T2.Name) DESC | SELECT "T2"."Name", COUNT("T2"."Name") FROM "AssignedTo" AS "T1" JOIN "Projects" AS "T2" ON "T1"."Project" = "T2"."Code" JOIN "Scientists" AS "T3" ON "T1"."Scientist" = "T3"."SSN" AND "T3"."Name" LIKE '%Smith%' GROUP BY "T2"."Name" ORDER BY COUNT("T2"."Name") DESC NULLS LAST | 0.268555 |
CREATE TABLE table_name_15 (player VARCHAR, pick VARCHAR)
| What is the Player with a Pick that is 6? | SELECT player FROM table_name_15 WHERE pick = 6 | SELECT "player" FROM "table_name_15" WHERE "pick" = 6 | 0.051758 |
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE... | when was the last time the heartrate measured in patient 015-92657 on 04/24/last year? | SELECT vitalperiodic.observationtime FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '015-92657')) AND NOT vitalperiodic.heartrate IS NUL... | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '015-92657' 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"."" ... | 0.803711 |
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... | provide the number of patients whose admission type is urgent and drug type is additive? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_type = "URGENT" AND prescriptions.drug_type = "ADDITIVE" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "ADDITIVE" = "prescriptions"."drug_type" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "URGENT" = "demographic"."admission_type" | 0.231445 |
CREATE TABLE table_name_80 (other VARCHAR, atheism VARCHAR)
| What is the value of other religions associated with atheism at 1.86%? | SELECT other FROM table_name_80 WHERE atheism = "1.86%" | SELECT "other" FROM "table_name_80" WHERE "1.86%" = "atheism" | 0.05957 |
CREATE TABLE table_name_22 (date VARCHAR, format VARCHAR, label VARCHAR)
| When did Avex Entertainment release a CD? | SELECT date FROM table_name_22 WHERE format = "cd" AND label = "avex entertainment" | SELECT "date" FROM "table_name_22" WHERE "avex entertainment" = "label" AND "cd" = "format" | 0.088867 |
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_y... | what is average days of hospital stay of patients whose insurance is self pay? | SELECT AVG(demographic.days_stay) FROM demographic WHERE demographic.insurance = "Self Pay" | SELECT AVG("demographic"."days_stay") FROM "demographic" WHERE "Self Pay" = "demographic"."insurance" | 0.098633 |
CREATE TABLE table_name_45 (date VARCHAR, time VARCHAR)
| What day had a time of 29.816? | SELECT date FROM table_name_45 WHERE time = "29.816" | SELECT "date" FROM "table_name_45" WHERE "29.816" = "time" | 0.056641 |
CREATE TABLE Projects (Project_ID INT, Project_Details VARCHAR)
CREATE TABLE Documents_with_Expenses (Document_ID INT, Budget_Type_Code CHAR, Document_Details VARCHAR)
CREATE TABLE Ref_Document_Types (Document_Type_Code CHAR, Document_Type_Name VARCHAR, Document_Type_Description VARCHAR)
CREATE TABLE Documents (Documen... | Show me a bar chart for what is the project id and detail for the project with at least two documents?, sort in ascending by the X-axis. | SELECT T1.Project_Details, T1.Project_ID FROM Projects AS T1 JOIN Documents AS T2 ON T1.Project_ID = T2.Project_ID ORDER BY T1.Project_Details | SELECT "T1"."Project_Details", "T1"."Project_ID" FROM "Projects" AS "T1" JOIN "Documents" AS "T2" ON "T1"."Project_ID" = "T2"."Project_ID" ORDER BY "T1"."Project_Details" NULLS FIRST | 0.177734 |
CREATE TABLE ship (ship_id DECIMAL, name TEXT, type TEXT, nationality TEXT, tonnage DECIMAL)
CREATE TABLE mission (mission_id DECIMAL, ship_id DECIMAL, code TEXT, launched_year DECIMAL, location TEXT, speed_knots DECIMAL, fate TEXT)
| Show the types of ships that have both ships with tonnage larger than 6000 and ships with tonnage smaller than 4000. | SELECT type FROM ship WHERE tonnage > 6000 INTERSECT SELECT type FROM ship WHERE tonnage < 4000 | SELECT "type" FROM "ship" WHERE "tonnage" > 6000 INTERSECT SELECT "type" FROM "ship" WHERE "tonnage" < 4000 | 0.104492 |
CREATE TABLE table_name_73 (losses INT, geelong_dfl VARCHAR, draws VARCHAR)
| What are the average losses for Geelong DFL of Bell Post Hill where the draws are less than 0? | SELECT AVG(losses) FROM table_name_73 WHERE geelong_dfl = "bell post hill" AND draws < 0 | SELECT AVG("losses") FROM "table_name_73" WHERE "bell post hill" = "geelong_dfl" AND "draws" < 0 | 0.09375 |
CREATE TABLE table_name_56 (try_bonus VARCHAR, points_for VARCHAR)
| What was the try bonus when the points for was 608? | SELECT try_bonus FROM table_name_56 WHERE points_for = "608" | SELECT "try_bonus" FROM "table_name_56" WHERE "608" = "points_for" | 0.064453 |
CREATE TABLE table_203_694 (id DECIMAL, "#" DECIMAL, "name" TEXT, "took office" TEXT, "left office" TEXT, "party" TEXT)
| which party had the most prime ministers ? | SELECT "party" FROM table_203_694 GROUP BY "party" ORDER BY COUNT("name") DESC LIMIT 1 | SELECT "party" FROM "table_203_694" GROUP BY "party" ORDER BY COUNT("name") DESC NULLS LAST LIMIT 1 | 0.09668 |
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 lab (subject_id TEXT, hadm_id TEXT, itemid TE... | find the number of patients who are wheelchair dependent and whose drug type is base. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Wheelchair dependence" AND prescriptions.drug_type = "BASE" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Wheelchair dependence" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "BASE" = "prescriptions"."drug_type" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.301758 |
CREATE TABLE table_name_61 (country VARCHAR, label VARCHAR)
| What is the country for Sony / Sony Bmg? | SELECT country FROM table_name_61 WHERE label = "sony / sony bmg" | SELECT "country" FROM "table_name_61" WHERE "label" = "sony / sony bmg" | 0.069336 |
CREATE TABLE Ref_Document_Types (Document_Type_Code CHAR, Document_Type_Name VARCHAR, Document_Type_Description VARCHAR)
CREATE TABLE Employees (Employee_ID INT, Role_Code CHAR, Employee_Name VARCHAR, Gender_MFU CHAR, Date_of_Birth DATETIME, Other_Details VARCHAR)
CREATE TABLE Document_Locations (Document_ID INT, Locat... | I want to see trend the number of date in locaton to over date in locaton to by Location_Code, order by the X-axis in descending. | SELECT Date_in_Locaton_To, COUNT(Date_in_Locaton_To) FROM Document_Locations GROUP BY Location_Code, Date_in_Locaton_To ORDER BY Date_in_Locaton_To DESC | SELECT "Date_in_Locaton_To", COUNT("Date_in_Locaton_To") FROM "Document_Locations" GROUP BY "Location_Code", "Date_in_Locaton_To" ORDER BY "Date_in_Locaton_To" DESC NULLS LAST | 0.170898 |
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime 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 ... | what is the name of the drug that was prescribed to patient 57050 within 2 days after diagnosis with regional enteritis nos in 12/this year? | SELECT t2.drug FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE admissions.subject_id = 57050 AND diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'region... | WITH "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."drug", "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" AND "admissions"."subject_id" = 57050 WHERE DATETIME("prescriptions"."startdate", 'start of year') = DATETIME(CURRENT_TIME(), '... | 1.117188 |
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