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 countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE V... | For those employees who was hired before 2002-06-21, a bar chart shows the distribution of job_id and the average of manager_id , and group by attribute job_id. | SELECT JOB_ID, AVG(MANAGER_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' GROUP BY JOB_ID | SELECT "JOB_ID", AVG("MANAGER_ID") FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' GROUP BY "JOB_ID" | 0.099609 |
CREATE TABLE table_52537 ("Competition" TEXT, "Played" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Position" TEXT, "Coach" TEXT, "Captain" TEXT, "Main Article" TEXT)
| What Captain has Lost 13? | SELECT "Captain" FROM table_52537 WHERE "Lost" = '13' | SELECT "Captain" FROM "table_52537" WHERE "Lost" = '13' | 0.053711 |
CREATE TABLE table_202_276 (id DECIMAL, "year 1958" TEXT, "title {the rebel" TEXT, "role" TEXT, "notes" TEXT)
| which year is the most episodes he played in shows ? | SELECT "year 1958" FROM table_202_276 ORDER BY "notes" DESC LIMIT 1 | SELECT "year 1958" FROM "table_202_276" ORDER BY "notes" DESC NULLS LAST LIMIT 1 | 0.078125 |
CREATE TABLE table_name_87 (overall INT, round VARCHAR)
| Which Overall is the lowest one that has a Round of 3? | SELECT MIN(overall) FROM table_name_87 WHERE round = 3 | SELECT MIN("overall") FROM "table_name_87" WHERE "round" = 3 | 0.058594 |
CREATE TABLE table_name_65 (date VARCHAR, tournament VARCHAR)
| What is the Date of the Vigo Tournament? | SELECT date FROM table_name_65 WHERE tournament = "vigo" | SELECT "date" FROM "table_name_65" WHERE "tournament" = "vigo" | 0.060547 |
CREATE TABLE tip (tip_id INT, business_id VARCHAR, text TEXT, user_id VARCHAR, likes INT, year INT, month VARCHAR)
CREATE TABLE user (uid INT, user_id VARCHAR, name VARCHAR)
CREATE TABLE business (bid INT, business_id VARCHAR, name VARCHAR, full_address VARCHAR, city VARCHAR, latitude VARCHAR, longitude VARCHAR, review... | list all the reviews by Niloofar | SELECT review.text FROM review, user WHERE user.name = 'Niloofar' AND user.user_id = review.user_id | SELECT "review"."text" FROM "review" JOIN "user" ON "review"."user_id" = "user"."user_id" AND "user"."name" = 'Niloofar' | 0.117188 |
CREATE TABLE table_79782 ("Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Loss" TEXT, "Attendance" FLOAT, "Record" TEXT)
| For record 25-24, what is the sum of attendance? | SELECT COUNT("Attendance") FROM table_79782 WHERE "Record" = '25-24' | SELECT COUNT("Attendance") FROM "table_79782" WHERE "Record" = '25-24' | 0.068359 |
CREATE TABLE table_72926 ("Body style" TEXT, "Wheelbase" TEXT, "Length" TEXT, "Height" TEXT, "Curb weight" TEXT)
| What's the length of the model with Sedan body style? | SELECT "Length" FROM table_72926 WHERE "Body style" = 'Sedan' | SELECT "Length" FROM "table_72926" WHERE "Body style" = 'Sedan' | 0.061523 |
CREATE TABLE table_name_58 (state VARCHAR, royal_house VARCHAR)
| What is the state for the royal house of ying? | SELECT state FROM table_name_58 WHERE royal_house = "ying" | SELECT "state" FROM "table_name_58" WHERE "royal_house" = "ying" | 0.0625 |
CREATE TABLE table_name_3 (game VARCHAR, score VARCHAR, points VARCHAR)
| Which Game has a Score of 4 0 and Points of 44? | SELECT game FROM table_name_3 WHERE score = "4–0" AND points = 44 | SELECT "game" FROM "table_name_3" WHERE "4–0" = "score" AND "points" = 44 | 0.071289 |
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... | show the number of patients who were transferred within this facility and the procedure icd9 code is 8321. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_location = "TRSF WITHIN THIS FACILITY" AND procedures.icd9_code = "8321" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "8321" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "TRSF WITHIN THIS FACILITY" = "demographic"."admission_location" | 0.241211 |
CREATE TABLE railway_manage (Railway_ID INT, Manager_ID INT, From_Year TEXT)
CREATE TABLE railway (Railway_ID INT, Railway TEXT, Builder TEXT, Built TEXT, Wheels TEXT, Location TEXT, ObjectNumber TEXT)
CREATE TABLE manager (Manager_ID INT, Name TEXT, Country TEXT, Working_year_starts TEXT, Age INT, Level INT)
CREATE TA... | Compare the total number of trains in each name by a bar graph, and order by the Name from high to low. | SELECT Name, COUNT(Name) FROM train GROUP BY Name ORDER BY Name DESC | SELECT "Name", COUNT("Name") FROM "train" GROUP BY "Name" ORDER BY "Name" DESC NULLS LAST | 0.086914 |
CREATE TABLE table_1394 ("Television Station" TEXT, "Frequency" TEXT, "Site" TEXT, "Transmitted" TEXT, "Network" TEXT, "Status" TEXT, "Country of Region" TEXT)
| What are the network(s) for tv1? | SELECT "Network" FROM table_1394 WHERE "Television Station" = 'TV1' | SELECT "Network" FROM "table_1394" WHERE "Television Station" = 'TV1' | 0.067383 |
CREATE TABLE table_name_94 (attendance VARCHAR, away_team VARCHAR)
| What is the Attendance at the Hereford United Away game? | SELECT attendance FROM table_name_94 WHERE away_team = "hereford united" | SELECT "attendance" FROM "table_name_94" WHERE "away_team" = "hereford united" | 0.076172 |
CREATE TABLE table_35159 ("Position" FLOAT, "Team" TEXT, "Points" FLOAT, "Played" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Against" FLOAT, "Difference" TEXT)
| How many games against for team guarani with under 3 draws? | SELECT SUM("Against") FROM table_35159 WHERE "Team" = 'guarani' AND "Drawn" < '3' | SELECT SUM("Against") FROM "table_35159" WHERE "Drawn" < '3' AND "Team" = 'guarani' | 0.081055 |
CREATE TABLE table_name_90 (position INT, points VARCHAR, draws VARCHAR, goals_against VARCHAR, goals_for VARCHAR)
| Which Position has Goals against smaller than 59, and Goals for larger than 32, and Draws larger than 9, and Points larger than 35? | SELECT AVG(position) FROM table_name_90 WHERE goals_against < 59 AND goals_for > 32 AND draws > 9 AND points > 35 | SELECT AVG("position") FROM "table_name_90" WHERE "draws" > 9 AND "goals_against" < 59 AND "goals_for" > 32 AND "points" > 35 | 0.12207 |
CREATE TABLE table_name_33 (lost VARCHAR)
| Which Lost has a Club of club? | SELECT lost FROM table_name_33 WHERE "club" = "club" | SELECT "lost" FROM "table_name_33" WHERE "club" = "club" | 0.054688 |
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, i... | how many patients' primary disease is hypertension but not coronary artery disease/cardiac cath and their year of death is in or before 2115? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "HYPERTENSION;RULE OUT CORONARY ARTERY DISEASE\CARDIAC CATH" AND demographic.dod_year <= "2115.0" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2115.0" >= "demographic"."dod_year" AND "HYPERTENSION;RULE OUT CORONARY ARTERY DISEASE\CARDIAC CATH" = "demographic"."diagnosis" | 0.199219 |
CREATE TABLE table_name_65 (school VARCHAR, year VARCHAR, event VARCHAR)
| What is School, when Year is less than 2013, and when Event is '100 Breaststroke'? | SELECT school FROM table_name_65 WHERE year < 2013 AND event = "100 breaststroke" | SELECT "school" FROM "table_name_65" WHERE "100 breaststroke" = "event" AND "year" < 2013 | 0.086914 |
CREATE TABLE table_name_7 (home_team VARCHAR, venue VARCHAR)
| What is the home team score when they played at Victoria Park? | SELECT home_team AS score FROM table_name_7 WHERE venue = "victoria park" | SELECT "home_team" AS "score" FROM "table_name_7" WHERE "venue" = "victoria park" | 0.079102 |
CREATE TABLE table_203_179 (id DECIMAL, "goal" DECIMAL, "date" TEXT, "venue" TEXT, "opponent" TEXT, "score" TEXT, "result" TEXT, "competition" TEXT)
| how many competitions were something other than a friendly match ? | SELECT COUNT(*) FROM table_203_179 WHERE "competition" <> 'friendly match' | SELECT COUNT(*) FROM "table_203_179" WHERE "competition" <> 'friendly match' | 0.074219 |
CREATE TABLE table_name_28 (ends INT, name VARCHAR)
| Name the average ends for weston | SELECT AVG(ends) FROM table_name_28 WHERE name = "weston" | SELECT AVG("ends") FROM "table_name_28" WHERE "name" = "weston" | 0.061523 |
CREATE TABLE table_44271 ("Position" FLOAT, "Team" TEXT, "Played" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Goals For" FLOAT, "Goals Against" FLOAT, "Goal Difference" TEXT, "Points 1" TEXT)
| What was the Goal Difference for Postion 22? | SELECT "Goal Difference" FROM table_44271 WHERE "Position" = '22' | SELECT "Goal Difference" FROM "table_44271" WHERE "Position" = '22' | 0.06543 |
CREATE TABLE table_14752049_2 (international_tourist_arrivals__2010_ VARCHAR, change__2010_to_2011_ VARCHAR)
| What are the international tourist arrivals in 2010 where change from 2010 to 2011 is +11.2% ? | SELECT international_tourist_arrivals__2010_ FROM table_14752049_2 WHERE change__2010_to_2011_ = "+11.2%" | SELECT "international_tourist_arrivals__2010_" FROM "table_14752049_2" WHERE "+11.2%" = "change__2010_to_2011_" | 0.108398 |
CREATE TABLE table_33333 ("Player" TEXT, "Nationality" TEXT, "Position" TEXT, "From" TEXT, "School/Country" TEXT)
| What position does the player from arkansas play? | SELECT "Position" FROM table_33333 WHERE "School/Country" = 'arkansas' | SELECT "Position" FROM "table_33333" WHERE "School/Country" = 'arkansas' | 0.070313 |
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_fl... | let 's look at BALTIMORE to PHILADELPHIA again | 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, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BALTIMORE' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'PHIL... | 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" = 'BALTIMORE' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" AS "AIRPORT_SER... | 0.500977 |
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, n... | count the number of patients whose age is less than 67 and lab test fluid is joint fluid? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "67" AND lab.fluid = "Joint Fluid" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Joint Fluid" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "67" > "demographic"."age" | 0.186523 |
CREATE TABLE table_name_11 (score VARCHAR, decision VARCHAR, record VARCHAR)
| What was the score when the record was 18 14 4 with a toivonen decision? | SELECT score FROM table_name_11 WHERE decision = "toivonen" AND record = "18–14–4" | SELECT "score" FROM "table_name_11" WHERE "18–14–4" = "record" AND "decision" = "toivonen" | 0.087891 |
CREATE TABLE table_18323 ("District" TEXT, "Incumbent" TEXT, "Party" TEXT, "First elected" FLOAT, "Result" TEXT, "Candidates" TEXT)
| When was the first elected for district missouri 7? | SELECT MIN("First elected") FROM table_18323 WHERE "District" = 'Missouri 7' | SELECT MIN("First elected") FROM "table_18323" WHERE "District" = 'Missouri 7' | 0.076172 |
CREATE TABLE table_9509 ("Year" FLOAT, "Class" TEXT, "Team" TEXT, "Points" FLOAT, "Wins" FLOAT)
| What is the sum of Wins, when Year is 1959? | SELECT SUM("Wins") FROM table_9509 WHERE "Year" = '1959' | SELECT SUM("Wins") FROM "table_9509" WHERE "Year" = '1959' | 0.056641 |
CREATE TABLE table_35463 ("Series" TEXT, "Date" TEXT, "Entrants" FLOAT, "Winner" TEXT, "First Prize" TEXT)
| When was the game that had a first prize of $161,480? | SELECT "Date" FROM table_35463 WHERE "First Prize" = '$161,480' | SELECT "Date" FROM "table_35463" WHERE "First Prize" = '$161,480' | 0.063477 |
CREATE TABLE captain (captain_id DECIMAL, name TEXT, ship_id DECIMAL, age TEXT, class TEXT, rank TEXT)
CREATE TABLE ship (ship_id DECIMAL, name TEXT, type TEXT, built_year DECIMAL, class TEXT, flag TEXT)
| What are the names of ships that are commanded by both captains with the rank of Midshipman and captains with the rank of Lieutenant? | SELECT t1.name FROM ship AS t1 JOIN captain AS t2 ON t1.ship_id = t2.ship_id WHERE t2.rank = 'Midshipman' INTERSECT SELECT t1.name FROM ship AS t1 JOIN captain AS t2 ON t1.ship_id = t2.ship_id WHERE t2.rank = 'Lieutenant' | SELECT "t1"."name" FROM "ship" AS "t1" JOIN "captain" AS "t2" ON "t1"."ship_id" = "t2"."ship_id" AND "t2"."rank" = 'Midshipman' INTERSECT SELECT "t1"."name" FROM "ship" AS "t1" JOIN "captain" AS "t2" ON "t1"."ship_id" = "t2"."ship_id" AND "t2"."rank" = 'Lieutenant' | 0.258789 |
CREATE TABLE table_name_7 (date VARCHAR, opponent VARCHAR, tv_time VARCHAR, game_site VARCHAR)
| Which Date has a TV Time of cbs 1:00pm, and a Game Site of rca dome, and an Opponent of cincinnati bengals? | SELECT date FROM table_name_7 WHERE tv_time = "cbs 1:00pm" AND game_site = "rca dome" AND opponent = "cincinnati bengals" | SELECT "date" FROM "table_name_7" WHERE "cbs 1:00pm" = "tv_time" AND "cincinnati bengals" = "opponent" AND "game_site" = "rca dome" | 0.12793 |
CREATE TABLE table_name_79 (icao VARCHAR, iata VARCHAR)
| What is the ICAO when the IATA is tgg? | SELECT icao FROM table_name_79 WHERE iata = "tgg" | SELECT "icao" FROM "table_name_79" WHERE "iata" = "tgg" | 0.053711 |
CREATE TABLE table_name_40 (grand_finaldate VARCHAR, season VARCHAR)
| I want the Grand Final Date for season 1988 | SELECT grand_finaldate FROM table_name_40 WHERE season = 1988 | SELECT "grand_finaldate" FROM "table_name_40" WHERE "season" = 1988 | 0.06543 |
CREATE TABLE table_54914 ("Tournament" TEXT, "Wins" FLOAT, "Top-5" FLOAT, "Top-25" FLOAT, "Events" FLOAT, "Cuts made" FLOAT)
| Tell me the average top 25 with events of 5 and cuts madde less than 3 | SELECT AVG("Top-25") FROM table_54914 WHERE "Events" = '5' AND "Cuts made" < '3' | SELECT AVG("Top-25") FROM "table_54914" WHERE "Cuts made" < '3' AND "Events" = '5' | 0.080078 |
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 prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_typ... | count the number of private health insurance patients with procedure icd9 code 4523. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Private" AND procedures.icd9_code = "4523" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "4523" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "Private" = "demographic"."insurance" | 0.214844 |
CREATE TABLE table_46862 ("State" TEXT, "Type" TEXT, "Name" TEXT, "Title" TEXT, "Royal house" TEXT, "From" TEXT)
| In which state did Marquis Li rule? | SELECT "State" FROM table_46862 WHERE "Name" = 'li' AND "Title" = 'marquis' | SELECT "State" FROM "table_46862" WHERE "Name" = 'li' AND "Title" = 'marquis' | 0.075195 |
CREATE TABLE table_15635768_1 (date_of_issue VARCHAR, face_value VARCHAR)
| When the face value is 42 , what was the issue's date? | SELECT date_of_issue FROM table_15635768_1 WHERE face_value = "42¢" | SELECT "date_of_issue" FROM "table_15635768_1" WHERE "42¢" = "face_value" | 0.071289 |
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engin... | describe PITTSBURGH airport | SELECT DISTINCT airport.airport_code, airport.airport_location, airport.airport_name, airport.country_name, airport.minimum_connect_time, airport.state_code, airport.time_zone_code FROM airport, airport_service, city WHERE airport.airport_code = airport_service.airport_code AND city.city_code = airport_service.city_cod... | SELECT DISTINCT "airport"."airport_code", "airport"."airport_location", "airport"."airport_name", "airport"."country_name", "airport"."minimum_connect_time", "airport"."state_code", "airport"."time_zone_code" FROM "airport" JOIN "airport_service" ON "airport"."airport_code" = "airport_service"."airport_code" JOIN "city... | 0.40332 |
CREATE TABLE table_name_65 (Id VARCHAR)
| What is the value in 1971 when 30 is the value for 1969? | SELECT 1971 FROM table_name_65 WHERE 1969 = "30" | SELECT 1971 FROM "table_name_65" WHERE "30" = 1969 | 0.048828 |
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, ... | give me the amount of output until 12/21/2105 for patient 012-29464. | SELECT SUM(intakeoutput.cellvaluenumeric) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '012-29464')) AND intakeoutput.cellpath LIKE '%ou... | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '012-29464' 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"."" ... | 0.634766 |
CREATE TABLE table_name_89 (country VARCHAR, score VARCHAR, player VARCHAR)
| What Country has a 67 score by Phil Mickelson? | SELECT country FROM table_name_89 WHERE score = 67 AND player = "phil mickelson" | SELECT "country" FROM "table_name_89" WHERE "phil mickelson" = "player" AND "score" = 67 | 0.085938 |
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 prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_typ... | count the number of patients whose discharge location is short term hospital and procedure icd9 code is 17? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.discharge_location = "SHORT TERM HOSPITAL" AND procedures.icd9_code = "17" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "17" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "SHORT TERM HOSPITAL" = "demographic"."discharge_location" | 0.233398 |
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDat... | SebasSBM's custom filter (test phase). | SELECT Id FROM Posts WHERE ViewCount = 9999 | SELECT "Id" FROM "Posts" WHERE "ViewCount" = 9999 | 0.047852 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title 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... | Give me the number of patients less than 81 years who had an insertion of endotracheal tube procedure. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.age < "81" AND procedures.long_title = "Insertion of endotracheal tube" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Insertion of endotracheal tube" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "81" > "demographic"."age" | 0.230469 |
CREATE TABLE table_27332 ("Episode No." TEXT, "Prod No." FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original airdate UK" TEXT)
| What is the production number of 3-04? | SELECT MAX("Prod No.") FROM table_27332 WHERE "Episode No." = '3-04' | SELECT MAX("Prod No.") FROM "table_27332" WHERE "Episode No." = '3-04' | 0.068359 |
CREATE TABLE table_204_320 (id DECIMAL, "rank" DECIMAL, "nation" TEXT, "gold" DECIMAL, "silver" DECIMAL, "bronze" DECIMAL, "total" DECIMAL)
| which country received the least bronze medals ? | SELECT "nation" FROM table_204_320 ORDER BY "bronze" LIMIT 1 | SELECT "nation" FROM "table_204_320" ORDER BY "bronze" NULLS FIRST LIMIT 1 | 0.072266 |
CREATE TABLE table_26016 ("#" FLOAT, "Title" TEXT, "Original airdate" TEXT, "Timeslot" TEXT, "Viewers ( millions ) " TEXT, "Nightly rank" FLOAT, "Weekly rank" FLOAT)
| What date did Episode 22 originally air? | SELECT COUNT("Original airdate") FROM table_26016 WHERE "#" = '22' | SELECT COUNT("Original airdate") FROM "table_26016" WHERE "#" = '22' | 0.066406 |
CREATE TABLE table_46982 ("Position" FLOAT, "Pilot" TEXT, "Glider" TEXT, "Speed" TEXT, "Distance" TEXT)
| What is the average Position, when Speed is '143.5km/h'? | SELECT AVG("Position") FROM table_46982 WHERE "Speed" = '143.5km/h' | SELECT AVG("Position") FROM "table_46982" WHERE "Speed" = '143.5km/h' | 0.067383 |
CREATE TABLE table_25716399_1 (no_in_season INT, directed_by VARCHAR)
| What season was an episode directed by wendey stanzler? | SELECT MAX(no_in_season) FROM table_25716399_1 WHERE directed_by = "Wendey Stanzler" | SELECT MAX("no_in_season") FROM "table_25716399_1" WHERE "Wendey Stanzler" = "directed_by" | 0.087891 |
CREATE TABLE table_56236 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
| Which venue did the home team score 14.23 (107)? | SELECT "Venue" FROM table_56236 WHERE "Home team score" = '14.23 (107)' | SELECT "Venue" FROM "table_56236" WHERE "Home team score" = '14.23 (107)' | 0.071289 |
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, i... | how many patients were diagnosed with a congenital heart anomaly nos and an abnormal lab test? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.short_title = "Cong heart anomaly NOS" AND lab.flag = "abnormal" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Cong heart anomaly NOS" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "abnormal" = "lab"."flag" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.272461 |
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 prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_typ... | calculate the maximum age of unmarried patients who have unknown/not specified ethnic background. | SELECT MAX(demographic.age) FROM demographic WHERE demographic.marital_status = "SINGLE" AND demographic.ethnicity = "UNKNOWN/NOT SPECIFIED" | SELECT MAX("demographic"."age") FROM "demographic" WHERE "SINGLE" = "demographic"."marital_status" AND "UNKNOWN/NOT SPECIFIED" = "demographic"."ethnicity" | 0.150391 |
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 admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, ... | get count of the number of hospital visits of patient 5658 in 2103. | SELECT COUNT(DISTINCT admissions.hadm_id) FROM admissions WHERE admissions.subject_id = 5658 AND STRFTIME('%y', admissions.admittime) = '2103' | SELECT COUNT(DISTINCT "admissions"."hadm_id") FROM "admissions" WHERE "admissions"."subject_id" = 5658 AND STRFTIME('%y', "admissions"."admittime") = '2103' | 0.152344 |
CREATE TABLE table_68455 ("Date" TEXT, "Tournament" TEXT, "Surface" TEXT, "Opponent" TEXT, "Score" TEXT)
| Which tournament had a hard surface? | SELECT "Tournament" FROM table_68455 WHERE "Surface" = 'hard' | SELECT "Tournament" FROM "table_68455" WHERE "Surface" = 'hard' | 0.061523 |
CREATE TABLE table_name_5 (theatre VARCHAR, author VARCHAR, year VARCHAR)
| Author of stanis aw wyspia ski, and a Year of 1969 happened in what theatre? | SELECT theatre FROM table_name_5 WHERE author = "stanisław wyspiański" AND year = 1969 | SELECT "theatre" FROM "table_name_5" WHERE "author" = "stanisław wyspiański" AND "year" = 1969 | 0.091797 |
CREATE TABLE table_name_8 (callsign VARCHAR, area_served VARCHAR, frequency VARCHAR)
| What is the Callsign with an Area of tamworth and frequency of 0 88.9? | SELECT callsign FROM table_name_8 WHERE area_served = "tamworth" AND frequency = "0 88.9" | SELECT "callsign" FROM "table_name_8" WHERE "0 88.9" = "frequency" AND "area_served" = "tamworth" | 0.094727 |
CREATE TABLE table_train_174 ("id" INT, "fasting_plasma_glucose_fpg" FLOAT, "hemoglobin_a1c_hba1c" FLOAT, "substance_dependence" BOOLEAN, "estimated_glomerular_filtration_rate_egfr" INT, "allergy_to_insulin_lispro" BOOLEAN, "urine_albumin_to_creatinine_ratio_uacr" INT, "smoking" BOOLEAN, "NOUSE" FLOAT)
| have known allergies or history of hypersensitivity to insulin lispro | SELECT * FROM table_train_174 WHERE allergy_to_insulin_lispro = 1 | SELECT * FROM "table_train_174" WHERE "allergy_to_insulin_lispro" = 1 | 0.067383 |
CREATE TABLE table_23132 ("Pick #" FLOAT, "Player" TEXT, "Position" TEXT, "Nationality" TEXT, "NHL team" TEXT, "College/junior/club team" TEXT)
| When michigan technological university (ncaa) is the college, junior, or club team what is the nationality? | SELECT "Nationality" FROM table_23132 WHERE "College/junior/club team" = 'Michigan Technological University (NCAA)' | SELECT "Nationality" FROM "table_23132" WHERE "College/junior/club team" = 'Michigan Technological University (NCAA)' | 0.114258 |
CREATE TABLE table_name_24 (name VARCHAR, ties VARCHAR)
| Who has ties of 5? | SELECT name FROM table_name_24 WHERE ties = 5 | SELECT "name" FROM "table_name_24" WHERE "ties" = 5 | 0.049805 |
CREATE TABLE table_23633 ("Date" TEXT, "Venue" TEXT, "Home Team" TEXT, "Score" TEXT, "Away Team" TEXT, "Competition" TEXT, "Winner" TEXT, "Head to Head" TEXT)
| Name the competition for australia 13, new zealand 40, drawn 3 | SELECT "Competition" FROM table_23633 WHERE "Head to Head" = 'Australia 13, New Zealand 40, Drawn 3' | SELECT "Competition" FROM "table_23633" WHERE "Head to Head" = 'Australia 13, New Zealand 40, Drawn 3' | 0.099609 |
CREATE TABLE table_204_151 (id DECIMAL, "game" DECIMAL, "day" TEXT, "date" TEXT, "kickoff" TEXT, "opponent" TEXT, "results\ score" TEXT, "results\ record" TEXT, "location" TEXT, "attendance" DECIMAL)
| how many games did the harrisburg heat win in which they scored eight or more goals ? | SELECT COUNT(*) FROM table_204_151 WHERE "results\nscore" = 'w' AND "results\nscore" >= 8 | SELECT COUNT(*) FROM "table_204_151" WHERE "results\nscore" = 'w' AND "results\nscore" >= 8 | 0.088867 |
CREATE TABLE table_14253123_1 (area_sq_mi__km_2____rank_ VARCHAR, county_seat VARCHAR)
| When Vincennes is the county seat what is the area sq mi (km 2 ) (rank) ? | SELECT area_sq_mi__km_2____rank_ FROM table_14253123_1 WHERE county_seat = "Vincennes" | SELECT "area_sq_mi__km_2____rank_" FROM "table_14253123_1" WHERE "Vincennes" = "county_seat" | 0.089844 |
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitsta... | when did patient 027-106613 first take a tv lab test in 04/2103? | SELECT lab.labresulttime FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '027-106613')) AND lab.labname = 'tv' AND STRFTIME('%y-%m', lab.labresulttime) = '21... | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '027-106613' 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".""... | 0.614258 |
CREATE TABLE player_college (player_id TEXT, college_id TEXT, year DECIMAL)
CREATE TABLE hall_of_fame (player_id TEXT, yearid DECIMAL, votedby TEXT, ballots DECIMAL, needed DECIMAL, votes DECIMAL, inducted TEXT, category TEXT, needed_note TEXT)
CREATE TABLE college (college_id TEXT, name_full TEXT, city TEXT, state TEX... | Count the number of players who were born in USA and have bats information 'R'. | SELECT COUNT(*) FROM player WHERE birth_country = 'USA' AND bats = 'R' | SELECT COUNT(*) FROM "player" WHERE "bats" = 'R' AND "birth_country" = 'USA' | 0.074219 |
CREATE TABLE table_name_54 (grade VARCHAR, chin_up__reps_ VARCHAR)
| Which grade did the chin-up (reps) 9-10 receive? | SELECT grade FROM table_name_54 WHERE chin_up__reps_ = "9-10" | SELECT "grade" FROM "table_name_54" WHERE "9-10" = "chin_up__reps_" | 0.06543 |
CREATE TABLE table_39603 ("Year" FLOAT, "Championship" TEXT, "54 Holes" TEXT, "Winning Score" TEXT, "Margin" TEXT, "Runner ( s ) -up" TEXT)
| Which championship has a winning score of (77-76-74-73=300)? | SELECT "Championship" FROM table_39603 WHERE "Winning Score" = '(77-76-74-73=300)' | SELECT "Championship" FROM "table_39603" WHERE "Winning Score" = '(77-76-74-73=300)' | 0.082031 |
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... | how many patients are diagnosed with primary disease angioedema and operated with procedure ventricl shunt tube punc? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.diagnosis = "ANGIOEDEMA" AND procedures.short_title = "Ventricl shunt tube punc" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Ventricl shunt tube punc" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "ANGIOEDEMA" = "demographic"."diagnosis" | 0.239258 |
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, draw a bar chart about the distribution of name and revenue , and group by attribute headquarter, and could you show bar in asc order? | SELECT T1.Name, T2.Revenue FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Headquarter, T1.Name ORDER BY T1.Name | SELECT "T1"."Name", "T2"."Revenue" FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Headquarter", "T1"."Name" ORDER BY "T1"."Name" NULLS FIRST | 0.188477 |
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... | how many patients are admitted urgently and are born before 2080? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "URGENT" AND demographic.dob_year < "2080" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2080" > "demographic"."dob_year" AND "URGENT" = "demographic"."admission_type" | 0.150391 |
CREATE TABLE table_79826 ("Nat." TEXT, "Name" TEXT, "Since" TEXT, "Goals" FLOAT, "Transfer fee" TEXT)
| What is the nationality of the player with a transfer fee of 400k? | SELECT "Nat." FROM table_79826 WHERE "Transfer fee" = '£400k' | SELECT "Nat." FROM "table_79826" WHERE "Transfer fee" = '£400k' | 0.061523 |
CREATE TABLE table_25990 ("Player" TEXT, "Games Played" FLOAT, "Minutes" FLOAT, "Field Goals" FLOAT, "Three Pointers" FLOAT, "Free Throws" FLOAT, "Rebounds" FLOAT, "Assists" FLOAT, "Blocks" FLOAT, "Steals" FLOAT, "Points" FLOAT)
| How many games did janae stokes play? | SELECT MAX("Games Played") FROM table_25990 WHERE "Player" = 'Janae Stokes' | SELECT MAX("Games Played") FROM "table_25990" WHERE "Player" = 'Janae Stokes' | 0.075195 |
CREATE TABLE table_55174 ("Driver" TEXT, "Constructor" TEXT, "Laps" FLOAT, "Time/Retired" TEXT, "Grid" FLOAT)
| Which Time/Retired entry has greater than 51 laps and driver Cristiano da Matta? | SELECT "Time/Retired" FROM table_55174 WHERE "Laps" > '51' AND "Driver" = 'cristiano da matta' | SELECT "Time/Retired" FROM "table_55174" WHERE "Driver" = 'cristiano da matta' AND "Laps" > '51' | 0.09375 |
CREATE TABLE table_name_10 (purse VARCHAR, year VARCHAR)
| What is the Purse listed for the Year of 1998? | SELECT purse FROM table_name_10 WHERE year = "1998" | SELECT "purse" FROM "table_name_10" WHERE "1998" = "year" | 0.055664 |
CREATE TABLE table_101336_1 (no_of_cu_o_planes_in_unit_cell VARCHAR, formula VARCHAR)
| How many times is the formula tl 2 ba 2 cuo 6? | SELECT no_of_cu_o_planes_in_unit_cell FROM table_101336_1 WHERE formula = "Tl 2 Ba 2 CuO 6" | SELECT "no_of_cu_o_planes_in_unit_cell" FROM "table_101336_1" WHERE "Tl 2 Ba 2 CuO 6" = "formula" | 0.094727 |
CREATE TABLE table_33310 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
| Who was the away team when the home team scored 10.12 (72)? | SELECT "Away team" FROM table_33310 WHERE "Home team score" = '10.12 (72)' | SELECT "Away team" FROM "table_33310" WHERE "Home team score" = '10.12 (72)' | 0.074219 |
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, e... | what was the name of the drug prescribed for patient 99647 during the same hospital visit after having received a pericardiocentesis procedure since 12/2102? | SELECT t2.drug FROM (SELECT admissions.subject_id, procedures_icd.charttime, admissions.hadm_id FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE admissions.subject_id = 99647 AND procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_proce... | WITH "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."drug", "prescriptions"."startdate", "admissions"."hadm_id" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" AND "admissions"."subject_id" = 99647 WHERE STRFTIME('%y-%m', "prescriptions"."startdate") >= '2102-12'... | 0.832031 |
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, i... | report the number of patients with newborn primary disease who have abnormal lab test status. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.diagnosis = "NEWBORN" AND lab.flag = "abnormal" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "abnormal" = "lab"."flag" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "NEWBORN" = "demographic"."diagnosis" | 0.193359 |
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 Badges (Id DECIMAL, UserId DECIMAL, Name TE... | Question length and score (I don't know SQL...). | WITH Keyed AS (SELECT CAST(Posts.Score AS FLOAT) AS Score, POWER(ROUND(SQRT(LENGTH(Body)), 0), 2) AS PostLength FROM Posts WHERE PostTypeId = 1), Sized AS (SELECT PostLength, AVG(Score) AS MeanScore, COUNT(Score) AS ClusterSize FROM Keyed GROUP BY PostLength) SELECT PostLength, MeanScore, ClusterSize FROM Sized WHERE C... | WITH "Sized" AS (SELECT MAX(1) AS "_" FROM "Keyed" GROUP BY "PostLength"), "_u_0" AS (SELECT 1 AS "_" FROM "Posts" GROUP BY 1) SELECT "PostLength", "MeanScore", "ClusterSize" FROM "Sized" LEFT JOIN "_u_0" AS "_u_0" ON "PostTypeId" = "_u_0"."_" WHERE "ClusterSize" > 100 ORDER BY "PostLength" NULLS FIRST | 0.295898 |
CREATE TABLE table_1974782_1 (type VARCHAR, location VARCHAR)
| What's the type of the school in New London, Connecticut? | SELECT type FROM table_1974782_1 WHERE location = "New London, Connecticut" | SELECT "type" FROM "table_1974782_1" WHERE "New London, Connecticut" = "location" | 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 T... | provide the number of patients whose insurance is government and procedure long title is parenteral infusion of concentrated nutritional substances? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Government" AND procedures.long_title = "Parenteral infusion of concentrated nutritional substances" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Parenteral infusion of concentrated nutritional substances" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "Government" = "demographic"."insurance" | 0.271484 |
CREATE TABLE table_13036 ("Team 1" TEXT, "Score" TEXT, "Team 2" TEXT, "1st round" TEXT, "2nd round" TEXT)
| Which is team 2 when team 1 is ECAC Chaumont (d2)? | SELECT "Team 2" FROM table_13036 WHERE "Team 1" = 'ecac chaumont (d2)' | SELECT "Team 2" FROM "table_13036" WHERE "Team 1" = 'ecac chaumont (d2)' | 0.070313 |
CREATE TABLE table_name_83 (opposing_teams VARCHAR, date VARCHAR)
| Who were the opposing teams on 08/02/1969? | SELECT opposing_teams FROM table_name_83 WHERE date = "08/02/1969" | SELECT "opposing_teams" FROM "table_name_83" WHERE "08/02/1969" = "date" | 0.070313 |
CREATE TABLE table_name_90 (round INT, player VARCHAR)
| what is the highest round when the player is troy creurer (d)? | SELECT MAX(round) FROM table_name_90 WHERE player = "troy creurer (d)" | SELECT MAX("round") FROM "table_name_90" WHERE "player" = "troy creurer (d)" | 0.074219 |
CREATE TABLE Course_Authors_and_Tutors (author_id INT, author_tutor_ATB VARCHAR, login_name VARCHAR, password VARCHAR, personal_name VARCHAR, middle_name VARCHAR, family_name VARCHAR, gender_mf VARCHAR, address_line_1 VARCHAR)
CREATE TABLE Students (student_id INT, date_of_registration DATETIME, date_of_latest_logon DA... | Show me about the distribution of personal_name and author_id in a bar chart. | SELECT personal_name, author_id FROM Course_Authors_and_Tutors ORDER BY personal_name | SELECT "personal_name", "author_id" FROM "Course_Authors_and_Tutors" ORDER BY "personal_name" NULLS FIRST | 0.102539 |
CREATE TABLE Ref_Payment_Methods (payment_method_code CHAR, payment_method_description VARCHAR)
CREATE TABLE Marketing_Regions (Marketing_Region_Code CHAR, Marketing_Region_Name VARCHAR, Marketing_Region_Descriptrion VARCHAR, Other_Details VARCHAR)
CREATE TABLE Invoices (Invoice_ID INT, Order_ID INT, payment_method_cod... | Show all cities along with the number of drama workshop groups in each city. Visualize by bar chart. | SELECT City_Town, COUNT(*) FROM Addresses AS T1 JOIN Drama_Workshop_Groups AS T2 ON T1.Address_ID = T2.Address_ID GROUP BY T1.City_Town | SELECT "City_Town", COUNT(*) FROM "Addresses" AS "T1" JOIN "Drama_Workshop_Groups" AS "T2" ON "T1"."Address_ID" = "T2"."Address_ID" GROUP BY "T1"."City_Town" | 0.15332 |
CREATE TABLE table_54923 ("Date" TEXT, "Visitor" TEXT, "Score" TEXT, "Home" TEXT, "Leading scorer" TEXT, "Attendance" FLOAT, "Record" TEXT)
| How many people attended the game on 8 March 2008? | SELECT SUM("Attendance") FROM table_54923 WHERE "Date" = '8 march 2008' | SELECT SUM("Attendance") FROM "table_54923" WHERE "Date" = '8 march 2008' | 0.071289 |
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 DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STAT... | For all employees who have the letters D or S in their first name, draw a bar chart about the distribution of hire_date and the sum of employee_id bin hire_date by time. | SELECT HIRE_DATE, SUM(EMPLOYEE_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' | SELECT "HIRE_DATE", SUM("EMPLOYEE_ID") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' | 0.109375 |
CREATE TABLE table_name_82 (location___state VARCHAR, team VARCHAR, winner VARCHAR)
| Castrol Perkins Motorsport and the winner Russell Ingall was in what location/state? | SELECT location___state FROM table_name_82 WHERE team = "castrol perkins motorsport" AND winner = "russell ingall" | SELECT "location___state" FROM "table_name_82" WHERE "castrol perkins motorsport" = "team" AND "russell ingall" = "winner" | 0.119141 |
CREATE TABLE table_name_28 (diameter VARCHAR, year_of_issue VARCHAR)
| Which Diameter has a Year of Issue of 1977? | SELECT diameter FROM table_name_28 WHERE year_of_issue = 1977 | SELECT "diameter" FROM "table_name_28" WHERE "year_of_issue" = 1977 | 0.06543 |
CREATE TABLE table_name_95 (date VARCHAR, opponent VARCHAR, record VARCHAR)
| Opponent of @mil, and a Record of 45-16 happened on what date? | SELECT date FROM table_name_95 WHERE opponent = "@mil" AND record = "45-16" | SELECT "date" FROM "table_name_95" WHERE "45-16" = "record" AND "@mil" = "opponent" | 0.081055 |
CREATE TABLE table_5973 ("Rank" FLOAT, "Rider" TEXT, "Team" TEXT, "Speed" TEXT, "Time" TEXT)
| Rank larger than 8, and a Rider of chris barrett is what team? | SELECT "Team" FROM table_5973 WHERE "Rank" > '8' AND "Rider" = 'chris barrett' | SELECT "Team" FROM "table_5973" WHERE "Rank" > '8' AND "Rider" = 'chris barrett' | 0.078125 |
CREATE TABLE table_67538 ("Country" TEXT, "2012" FLOAT, "2011" FLOAT, "2010" FLOAT, "2009" FLOAT, "2008" FLOAT, "2007" FLOAT, "2006" FLOAT, "2005" FLOAT, "2004" FLOAT, "2003" FLOAT, "2002" FLOAT, "2001" FLOAT, "2000" FLOAT, "1999" FLOAT, "1998" FLOAT, "1997" FLOAT, "1996" FLOAT, "1995" FLOAT, "1994" FLOAT, "1993" FLOAT... | what is the listing for 1992 when 1999 is more than 1, 2008 is less than 2 and 2003 is less than 2? | SELECT SUM("1992") FROM table_67538 WHERE "1999" > '1' AND "2008" < '2' AND "2003" < '2' | SELECT SUM("1992") FROM "table_67538" WHERE "1999" > '1' AND "2003" < '2' AND "2008" < '2' | 0.087891 |
CREATE TABLE table_name_7 (place_of_birth VARCHAR, elevator VARCHAR, elector VARCHAR)
| What is the place of birth when the elevator is Nicholas IV, and elector is Napoleone Orsini Frangipani? | SELECT place_of_birth FROM table_name_7 WHERE elevator = "nicholas iv" AND elector = "napoleone orsini frangipani" | SELECT "place_of_birth" FROM "table_name_7" WHERE "elector" = "napoleone orsini frangipani" AND "elevator" = "nicholas iv" | 0.119141 |
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE c... | Does Dennis Capozza teach the class ENVIRON 377 ? | SELECT COUNT(*) > 0 FROM course, course_offering, instructor, offering_instructor WHERE course.course_id = course_offering.course_id AND course.department = 'ENVIRON' AND course.number = 377 AND instructor.name LIKE '%Dennis Capozza%' AND offering_instructor.instructor_id = instructor.instructor_id AND offering_instruc... | SELECT COUNT(*) > 0 FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "offering_instructor" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" AND "instructor".... | 0.408203 |
CREATE TABLE table_27914606_1 (title VARCHAR, written_by VARCHAR)
| what is the name of the episode whose writers were jeff astrof & matt goldman? | SELECT title FROM table_27914606_1 WHERE written_by = "Jeff Astrof & Matt Goldman" | SELECT "title" FROM "table_27914606_1" WHERE "Jeff Astrof & Matt Goldman" = "written_by" | 0.085938 |
CREATE TABLE table_13956521_2 (_number INT, original_airdate VARCHAR)
| what is the maximum # with original airdate being march 14, 2001 | SELECT MAX(_number) FROM table_13956521_2 WHERE original_airdate = "March 14, 2001" | SELECT MAX("_number") FROM "table_13956521_2" WHERE "March 14, 2001" = "original_airdate" | 0.086914 |
CREATE TABLE table_18066 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT)
| What's the title of the episode directed by David von Ancken, with a episode number bigger than 16.0? | SELECT "Title" FROM table_18066 WHERE "Directed by" = 'David Von Ancken' AND "No. in series" > '16.0' | SELECT "Title" FROM "table_18066" WHERE "Directed by" = 'David Von Ancken' AND "No. in series" > '16.0' | 0.100586 |
CREATE TABLE playlisttrack (playlistid DECIMAL, trackid DECIMAL)
CREATE TABLE playlist (playlistid DECIMAL, name TEXT)
CREATE TABLE customer (customerid DECIMAL, firstname TEXT, lastname TEXT, company TEXT, address TEXT, city TEXT, state TEXT, country TEXT, postalcode TEXT, phone TEXT, fax TEXT, email TEXT, supportrepi... | What is all the customer information for customers in NY state? | SELECT * FROM customer WHERE state = "NY" | SELECT * FROM "customer" WHERE "NY" = "state" | 0.043945 |
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