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 volume (Issue_Date VARCHAR, Weeks_on_Top VARCHAR)
| What is the issue date of the volume with the minimum weeks on top? | SELECT Issue_Date FROM volume ORDER BY Weeks_on_Top LIMIT 1 | SELECT "Issue_Date" FROM "volume" ORDER BY "Weeks_on_Top" NULLS FIRST LIMIT 1 | 0.075195 |
CREATE TABLE table_71755 ("Rider" TEXT, "Matches" FLOAT, "Rides" FLOAT, "Bonus Pts" FLOAT, "Total Points" FLOAT)
| How many total matches involving dennis gavros had total points less than 167? | SELECT COUNT("Matches") FROM table_71755 WHERE "Rider" = 'dennis gavros' AND "Total Points" < '167' | SELECT COUNT("Matches") FROM "table_71755" WHERE "Rider" = 'dennis gavros' AND "Total Points" < '167' | 0.098633 |
CREATE TABLE table_1176371_1 (fc_matches INT)
| What is the maximum fc matches? | SELECT MAX(fc_matches) FROM table_1176371_1 | SELECT MAX("fc_matches") FROM "table_1176371_1" | 0.045898 |
CREATE TABLE table_204_906 (id DECIMAL, "#" DECIMAL, "title" TEXT, "songwriters" TEXT, "producer ( s ) " TEXT, "performer" TEXT)
| what was the opening song on his album ? | SELECT "title" FROM table_204_906 WHERE "#" = 1 | SELECT "title" FROM "table_204_906" WHERE "#" = 1 | 0.047852 |
CREATE TABLE table_12752 ("Season" FLOAT, "Winners" TEXT, "Total wins" FLOAT, "Runners-up" TEXT, "Third-place" TEXT, "Number of clubs" FLOAT)
| What is the sum of the number of clubs in seasons before 1992 with more than 3 total wins? | SELECT SUM("Number of clubs") FROM table_12752 WHERE "Season" < '1992' AND "Total wins" > '3' | SELECT SUM("Number of clubs") FROM "table_12752" WHERE "Season" < '1992' AND "Total wins" > '3' | 0.092773 |
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
C... | count the number of people who were diagnosed with ocl vrtb art w infrct until 2102. | SELECT COUNT(DISTINCT admissions.subject_id) FROM admissions WHERE admissions.hadm_id IN (SELECT diagnoses_icd.hadm_id FROM diagnoses_icd WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'ocl vrtb art w infrct') AND STRFTIME('%y', diagnoses_icd.c... | WITH "_u_1" AS (SELECT "diagnoses_icd"."hadm_id" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'ocl vrtb art w infrct' WHERE STRFTIME('%y', "diagnoses_icd"."charttime") <= '2102' GROUP BY "hadm_id") SELECT COUNT(DISTINCT ... | 0.446289 |
CREATE TABLE table_name_41 (location VARCHAR, opponent VARCHAR, loss VARCHAR)
| What is the Location when the opponent shows vs. ole miss, and a Loss of mckean (4-1)? | SELECT location FROM table_name_41 WHERE opponent = "vs. ole miss" AND loss = "mckean (4-1)" | SELECT "location" FROM "table_name_41" WHERE "loss" = "mckean (4-1)" AND "opponent" = "vs. ole miss" | 0.097656 |
CREATE TABLE table_1473672_4 (college_junior_club_team VARCHAR, pick__number VARCHAR)
| Name the college/junior club team for pick number 63 | SELECT college_junior_club_team FROM table_1473672_4 WHERE pick__number = 63 | SELECT "college_junior_club_team" FROM "table_1473672_4" WHERE "pick__number" = 63 | 0.080078 |
CREATE TABLE table_name_11 (turnout__percentage VARCHAR, ngilu VARCHAR)
| What's listed for the Turnout % with a Ngilu of 3,429? | SELECT turnout__percentage FROM table_name_11 WHERE ngilu = "3,429" | SELECT "turnout__percentage" FROM "table_name_11" WHERE "3,429" = "ngilu" | 0.071289 |
CREATE TABLE table_24225 ("Place" FLOAT, "Athlete" TEXT, "Long jump" FLOAT, "Javelin" FLOAT, "200 m" FLOAT, "Discus" FLOAT, "1500 m" FLOAT, "Total" FLOAT)
| Name the least total for 1500m for 2 | SELECT MIN("Total") FROM table_24225 WHERE "1500 m" = '2' | SELECT MIN("Total") FROM "table_24225" WHERE "1500 m" = '2' | 0.057617 |
CREATE TABLE table_11654169_1 (population_in_1000__1931_ VARCHAR, voivodeship_separate_city VARCHAR)
| What is the population in the city of Pomorskie? | SELECT population_in_1000__1931_ FROM table_11654169_1 WHERE voivodeship_separate_city = "pomorskie" | SELECT "population_in_1000__1931_" FROM "table_11654169_1" WHERE "pomorskie" = "voivodeship_separate_city" | 0.103516 |
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIM... | Negative scored questions percentage per year. | SELECT SUM(CASE WHEN Score < 0 THEN 1 ELSE 0 END) * 100 / COUNT(*) AS percentage, COUNT(*) AS total, SUM(CASE WHEN Score < 0 THEN 1 ELSE 0 END) AS negatice_count FROM Posts WHERE YEAR(CreationDate) = @year AND PostTypeId = 1 | SELECT SUM(CASE WHEN "Score" < 0 THEN 1 ELSE 0 END) * 100 / NULLIF(COUNT(*), 0) AS "percentage", COUNT(*) AS "total", SUM(CASE WHEN "Score" < 0 THEN 1 ELSE 0 END) AS "negatice_count" FROM "Posts" WHERE "PostTypeId" = 1 AND $year = YEAR("CreationDate") | 0.245117 |
CREATE TABLE table_19426 ("State/UT Code" FLOAT, "India/State/UT" TEXT, "Literate Persons ( % ) " TEXT, "Males ( % ) " TEXT, "Females ( % ) " TEXT)
| What is the percentage of all the literate people where females are 73.17? | SELECT "Literate Persons (%)" FROM table_19426 WHERE "Females (%)" = '73.17' | SELECT "Literate Persons (%)" FROM "table_19426" WHERE "Females (%)" = '73.17' | 0.076172 |
CREATE TABLE table_18633 ("District" TEXT, "Incumbent" TEXT, "Party" TEXT, "First elected" FLOAT, "Result" TEXT, "Candidates" TEXT)
| what's the incumbent with candidates being sam hobbs (d) 88.2% c. w. mckay (r) 11.8% | SELECT "Incumbent" FROM table_18633 WHERE "Candidates" = 'Sam Hobbs (D) 88.2% C. W. McKay (R) 11.8%' | SELECT "Incumbent" FROM "table_18633" WHERE "Candidates" = 'Sam Hobbs (D) 88.2% C. W. McKay (R) 11.8%' | 0.099609 |
CREATE TABLE table_24540893_6 (school VARCHAR, position VARCHAR)
| What school did the rb drafted attend? | SELECT school FROM table_24540893_6 WHERE position = "RB" | SELECT "school" FROM "table_24540893_6" WHERE "RB" = "position" | 0.061523 |
CREATE TABLE table_63618 ("School" TEXT, "Location" TEXT, "Mascot" TEXT, "# / County" TEXT, "Year Joined" FLOAT, "Previous Conference" TEXT, "Year Left" FLOAT, "Conference Joined" TEXT)
| Which Location has a Year Joined of 1966, and a Previous Conference of noble county, and a School of wawaka? | SELECT "Location" FROM table_63618 WHERE "Year Joined" = '1966' AND "Previous Conference" = 'noble county' AND "School" = 'wawaka' | SELECT "Location" FROM "table_63618" WHERE "Previous Conference" = 'noble county' AND "School" = 'wawaka' AND "Year Joined" = '1966' | 0.128906 |
CREATE TABLE table_27887723_1 (location VARCHAR, team VARCHAR)
| what location has team trek-livestrong? | SELECT location FROM table_27887723_1 WHERE team = "Trek-Livestrong" | SELECT "location" FROM "table_27887723_1" WHERE "Trek-Livestrong" = "team" | 0.072266 |
CREATE TABLE table_203_545 (id DECIMAL, "single/ep" TEXT, "release date" TEXT, "label" TEXT, "format ( s ) " TEXT, "uk singles chart position" DECIMAL, "notes" TEXT)
| what are the number of times jive records is listed as the label ? | SELECT COUNT(*) FROM table_203_545 WHERE "label" = 'jive records' | SELECT COUNT(*) FROM "table_203_545" WHERE "label" = 'jive records' | 0.06543 |
CREATE TABLE table_26293 ("Bowl Game" TEXT, "Date" TEXT, "Stadium" TEXT, "City" TEXT, "Television" TEXT, "Matchup/Results" TEXT, "Attendance" FLOAT, "Payout ( US$ ) " TEXT)
| How many different items appear in he attendance column at Sun Devil Stadium? | SELECT COUNT("Attendance") FROM table_26293 WHERE "Stadium" = 'Sun Devil Stadium' | SELECT COUNT("Attendance") FROM "table_26293" WHERE "Stadium" = 'Sun Devil Stadium' | 0.081055 |
CREATE TABLE table_204_700 (id DECIMAL, "name" TEXT, "developer" TEXT, "release" TEXT, "type" TEXT, "game flow" TEXT, "setting" TEXT)
| who was the developer of castle of heroes ? | SELECT "developer" FROM table_204_700 WHERE "name" = 'castle of heroes' | SELECT "developer" FROM "table_204_700" WHERE "name" = 'castle of heroes' | 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... | what is gender and insurance of subject id 81923? | SELECT demographic.gender, demographic.insurance FROM demographic WHERE demographic.subject_id = "81923" | SELECT "demographic"."gender", "demographic"."insurance" FROM "demographic" WHERE "81923" = "demographic"."subject_id" | 0.115234 |
CREATE TABLE table_name_53 (Id VARCHAR)
| What is the 2007 value with a 2r in 2012 and 1r in 2002? | SELECT 2007 FROM table_name_53 WHERE 2012 = "2r" AND 2002 = "1r" | SELECT 2007 FROM "table_name_53" WHERE "1r" = 2002 AND "2r" = 2012 | 0.064453 |
CREATE TABLE table_26140 ("Year" FLOAT, "Driver" TEXT, "Constructor" TEXT, "Location" TEXT, "Formula" TEXT, "Report" TEXT)
| What type of formula did Stirling Moss drive? | SELECT "Formula" FROM table_26140 WHERE "Driver" = 'Stirling Moss' | SELECT "Formula" FROM "table_26140" WHERE "Driver" = 'Stirling Moss' | 0.066406 |
CREATE TABLE table_36045 ("State" TEXT, "Name" TEXT, "Hometown" TEXT, "Age 1" FLOAT, "Talent" TEXT)
| Whose talent was ballet en pointe? | SELECT "Name" FROM table_36045 WHERE "Talent" = 'ballet en pointe' | SELECT "Name" FROM "table_36045" WHERE "Talent" = 'ballet en pointe' | 0.066406 |
CREATE TABLE table_name_19 (_percentage_gdp VARCHAR, surplus_deficit_ VARCHAR, income VARCHAR, year VARCHAR, expenditure VARCHAR)
| Which % GDP has a Year smaller than 2011, and an Expenditure larger than 41.3, and an Income smaller than 48, and a Surplus(Deficit) of (24.6)? | SELECT _percentage_gdp FROM table_name_19 WHERE year < 2011 AND expenditure > 41.3 AND income < 48 AND surplus_deficit_ = "(24.6)" | SELECT "_percentage_gdp" FROM "table_name_19" WHERE "(24.6)" = "surplus_deficit_" AND "expenditure" > 41.3 AND "income" < 48 AND "year" < 2011 | 0.138672 |
CREATE TABLE table_69872 ("Year" TEXT, "Team" TEXT, "Number" TEXT, "BB +HBP" FLOAT, "BA ( Place ) " TEXT)
| The year that has a BB + HBP of 51 is listed as? | SELECT "Year" FROM table_69872 WHERE "BB +HBP" = '51' | SELECT "Year" FROM "table_69872" WHERE "BB +HBP" = '51' | 0.053711 |
CREATE TABLE people (people_id DECIMAL, name TEXT, country TEXT, is_male TEXT, age DECIMAL)
CREATE TABLE church (church_id DECIMAL, name TEXT, organized_by TEXT, open_date DECIMAL, continuation_of TEXT)
CREATE TABLE wedding (church_id DECIMAL, male_id DECIMAL, female_id DECIMAL, year DECIMAL)
| Show all church names that have hosted least two weddings. | SELECT T1.name FROM church AS T1 JOIN wedding AS T2 ON T1.church_id = T2.church_id GROUP BY T1.church_id HAVING COUNT(*) >= 2 | SELECT "T1"."name" FROM "church" AS "T1" JOIN "wedding" AS "T2" ON "T1"."church_id" = "T2"."church_id" GROUP BY "T1"."church_id" HAVING COUNT(*) >= 2 | 0.145508 |
CREATE TABLE table_name_95 (attendance VARCHAR, runner_up VARCHAR)
| How many people were watching when Livingston was the runner-up? | SELECT attendance FROM table_name_95 WHERE runner_up = "livingston" | SELECT "attendance" FROM "table_name_95" WHERE "livingston" = "runner_up" | 0.071289 |
CREATE TABLE table_test_24 ("id" INT, "history_of_bleeding_diathesis" BOOLEAN, "bleeding" INT, "systolic_blood_pressure_sbp" INT, "hemoglobin_a1c_hba1c" FLOAT, "blood_draw" BOOLEAN, "renal_disease" BOOLEAN, "allergy_to_aspirin" BOOLEAN, "allergy_to_clopidogrel" BOOLEAN, "cardiogenic_shock" BOOLEAN, "allergy_to_prasugre... | severe renal failure | SELECT * FROM table_test_24 WHERE renal_disease = 1 | SELECT * FROM "table_test_24" WHERE "renal_disease" = 1 | 0.053711 |
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cos... | what were the five most frequently prescribed medications to patients who were previously treated with venous cath nec during the same month, during this year? | SELECT t3.drug FROM (SELECT t2.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, procedures_icd.charttime FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures ... | WITH "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."drug", "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" WHERE DATETIME("prescriptions"."startdate", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')), "t3" AS (... | 1.041016 |
CREATE TABLE table_53930 ("8:00" TEXT, "8:30" TEXT, "9:00" TEXT, "9:30" TEXT, "10:00" TEXT)
| What is at 8:30 when at 9:30 it is rules of engagement (reruns)? | SELECT "8:30" FROM table_53930 WHERE "9:30" = 'rules of engagement (reruns)' | SELECT "8:30" FROM "table_53930" WHERE "9:30" = 'rules of engagement (reruns)' | 0.076172 |
CREATE TABLE table_12720275_1 (rank__csa_ VARCHAR)
| What is the 2007 estimate when the rank (csa) is 4 | SELECT 2007 AS _estimate FROM table_12720275_1 WHERE rank__csa_ = "4" | SELECT 2007 AS "_estimate" FROM "table_12720275_1" WHERE "4" = "rank__csa_" | 0.073242 |
CREATE TABLE table_203_346 (id DECIMAL, "date" TEXT, "location" TEXT, "venue" TEXT, "opening act" TEXT, "supporting" TEXT)
| who was the next opening act after the cadillac tramps ? | SELECT "opening act" FROM table_203_346 WHERE NOT "opening act" IS NULL AND "date" > (SELECT "date" FROM table_203_346 WHERE "opening act" = 'cadillac tramps' ORDER BY "date" DESC LIMIT 1) ORDER BY "date" LIMIT 1 | SELECT "opening act" FROM "table_203_346" WHERE "date" > (SELECT "date" FROM "table_203_346" WHERE "opening act" = 'cadillac tramps' ORDER BY "date" DESC NULLS LAST LIMIT 1) AND NOT "opening act" IS NULL ORDER BY "date" NULLS FIRST LIMIT 1 | 0.233398 |
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DEC... | until 2104, how many patients with patent ductus arteriosus were diagnosed within 2 months after being diagnosed with lack of coordination? | SELECT COUNT(DISTINCT t1.subject_id) FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'patent ductus arte... | WITH "t2" AS (SELECT "admissions"."subject_id", "diagnoses_icd"."charttime" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'lack of coordination' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" WHER... | 0.979492 |
CREATE TABLE table_name_92 (rating INT, rank__timeslot_ VARCHAR, rank__night_ VARCHAR)
| what is the rating when the rank (timeslot) is less than 3 and the rank (night) is less than 8? | SELECT SUM(rating) FROM table_name_92 WHERE rank__timeslot_ < 3 AND rank__night_ < 8 | SELECT SUM("rating") FROM "table_name_92" WHERE "rank__night_" < 8 AND "rank__timeslot_" < 3 | 0.089844 |
CREATE TABLE table_42928 ("Rank" TEXT, "Nation" TEXT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What is the least amount of silver medals won by Total with more than 1 bronze and more than 18 total medals won? | SELECT MIN("Silver") FROM table_42928 WHERE "Bronze" > '1' AND "Nation" = 'total' AND "Total" > '18' | SELECT MIN("Silver") FROM "table_42928" WHERE "Bronze" > '1' AND "Nation" = 'total' AND "Total" > '18' | 0.099609 |
CREATE TABLE table_name_29 (jianshu INT, athlete VARCHAR)
| What is the lowest Jianshu number for Liu Yang ( hkg )? | SELECT MIN(jianshu) FROM table_name_29 WHERE athlete = "liu yang ( hkg )" | SELECT MIN("jianshu") FROM "table_name_29" WHERE "athlete" = "liu yang ( hkg )" | 0.077148 |
CREATE TABLE table_60073 ("Players" TEXT, "Position" TEXT, "Year" TEXT, "Ht/Wt" TEXT, "Bats/Throws" TEXT, "Hometown ( Last School ) " TEXT)
| What side does Clayton Allison Bat/Throw from? | SELECT "Bats/Throws" FROM table_60073 WHERE "Players" = 'clayton allison' | SELECT "Bats/Throws" FROM "table_60073" WHERE "Players" = 'clayton allison' | 0.073242 |
CREATE TABLE table_56105 ("Week" TEXT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Kickoff [a ]" TEXT, "Game site" TEXT, "Attendance" TEXT, "Record" TEXT)
| Which week has a result showing L 24-10? | SELECT "Week" FROM table_56105 WHERE "Result" = 'l 24-10' | SELECT "Week" FROM "table_56105" WHERE "Result" = 'l 24-10' | 0.057617 |
CREATE TABLE Suppliers (supplier_id INT, supplier_name VARCHAR, supplier_phone VARCHAR)
CREATE TABLE Department_Stores (dept_store_id INT, dept_store_chain_id INT, store_name VARCHAR, store_address VARCHAR, store_phone VARCHAR, store_email VARCHAR)
CREATE TABLE Staff (staff_id INT, staff_gender VARCHAR, staff_name VARC... | Bar graph to show mean product price from different product type code, and I want to sort in asc by the y-axis. | SELECT product_type_code, AVG(product_price) FROM Products GROUP BY product_type_code ORDER BY AVG(product_price) | SELECT "product_type_code", AVG("product_price") FROM "Products" GROUP BY "product_type_code" ORDER BY AVG("product_price") NULLS FIRST | 0.131836 |
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... | Find out the short title of the procedure for procedure icd9 code 3613. | SELECT procedures.short_title FROM procedures WHERE procedures.icd9_code = "3613" | SELECT "procedures"."short_title" FROM "procedures" WHERE "3613" = "procedures"."icd9_code" | 0.088867 |
CREATE TABLE table_203_218 (id DECIMAL, "pos" DECIMAL, "class" TEXT, "no" DECIMAL, "team" TEXT, "drivers" TEXT, "chassis" TEXT, "engine" TEXT, "laps" DECIMAL)
| which team had the most number of laps ? | SELECT "team" FROM table_203_218 ORDER BY "laps" DESC LIMIT 1 | SELECT "team" FROM "table_203_218" ORDER BY "laps" DESC NULLS LAST LIMIT 1 | 0.072266 |
CREATE TABLE management (department_ID INT, head_ID INT, temporary_acting TEXT)
CREATE TABLE department (Department_ID INT, Name TEXT, Creation TEXT, Ranking INT, Budget_in_Billions FLOAT, Num_Employees FLOAT)
CREATE TABLE head (head_ID INT, name TEXT, born_state TEXT, age FLOAT)
| Show me a line chart of how the number of creation change over the creation, sort by the Creation in descending. | SELECT Creation, COUNT(Creation) FROM department ORDER BY Creation DESC | SELECT "Creation", COUNT("Creation") FROM "department" ORDER BY "Creation" DESC NULLS LAST | 0.087891 |
CREATE TABLE table_13320 ("Rank" FLOAT, "Lane" FLOAT, "Name" TEXT, "Nationality" TEXT, "Time" TEXT)
| What is Meagen Nay's rank with a lane greater than 5? | SELECT SUM("Rank") FROM table_13320 WHERE "Name" = 'meagen nay' AND "Lane" > '5' | SELECT SUM("Rank") FROM "table_13320" WHERE "Lane" > '5' AND "Name" = 'meagen nay' | 0.080078 |
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
... | until 2102 what were the four most common lab tests? | SELECT d_labitems.label FROM d_labitems WHERE d_labitems.itemid IN (SELECT t1.itemid FROM (SELECT labevents.itemid, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM labevents WHERE STRFTIME('%y', labevents.charttime) <= '2102' GROUP BY labevents.itemid) AS t1 WHERE t1.c1 <= 4) | WITH "t1" AS (SELECT "labevents"."itemid", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "labevents" WHERE STRFTIME('%y', "labevents"."charttime") <= '2102' GROUP BY "labevents"."itemid"), "_u_0" AS (SELECT "t1"."itemid" FROM "t1" AS "t1" WHERE "t1"."c1" <= 4 GROUP BY "itemid") SELECT "d_labitems".... | 0.426758 |
CREATE TABLE table_21406 ("Province" TEXT, "South Asians 2001" FLOAT, "% 2001" TEXT, "South Asians 2011" FLOAT, "% 2011" TEXT)
| How many figures are given for total number of South Asians in 2001 for the area where they were 4.4% of population in 2011? | SELECT COUNT("South Asians 2001") FROM table_21406 WHERE "% 2011" = '4.4%' | SELECT COUNT("South Asians 2001") FROM "table_21406" WHERE "% 2011" = '4.4%' | 0.074219 |
CREATE TABLE table_name_80 (speed VARCHAR, location VARCHAR)
| What is the Speed at Lake Mead? | SELECT speed FROM table_name_80 WHERE location = "lake mead" | SELECT "speed" FROM "table_name_80" WHERE "lake mead" = "location" | 0.064453 |
CREATE TABLE table_name_87 (name_v_t_e VARCHAR, club VARCHAR)
| What is the name of the player from club pro recco? | SELECT name_v_t_e FROM table_name_87 WHERE club = "pro recco" | SELECT "name_v_t_e" FROM "table_name_87" WHERE "club" = "pro recco" | 0.06543 |
CREATE TABLE table_name_18 (play VARCHAR, country VARCHAR)
| What play is from the country Belgium? | SELECT play FROM table_name_18 WHERE country = "belgium" | SELECT "play" FROM "table_name_18" WHERE "belgium" = "country" | 0.060547 |
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE days (days_code VARCHAR, day_name VAR... | show me all the flights from BURBANK to DENVER | 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 = 'BURBANK' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DENVER... | 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" = 'BURBANK' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVI... | 0.493164 |
CREATE TABLE table_name_66 (week_2 VARCHAR, week_1 VARCHAR)
| What Week 2 has a Week 1 of crystal beddows? | SELECT week_2 FROM table_name_66 WHERE week_1 = "crystal beddows" | SELECT "week_2" FROM "table_name_66" WHERE "crystal beddows" = "week_1" | 0.069336 |
CREATE TABLE table_203_621 (id DECIMAL, "player" TEXT, "games played" DECIMAL, "minutes played" DECIMAL, "minutes played per game" DECIMAL, "rebounds" DECIMAL, "rebounds per game" DECIMAL, "assists" DECIMAL, "assists per game" DECIMAL, "field goal %" DECIMAL, "free throw %" DECIMAL, "3-point %" DECIMAL, "points" DECIMA... | give the number of players covered by the table . | SELECT COUNT("player") FROM table_203_621 | SELECT COUNT("player") FROM "table_203_621" | 0.041992 |
CREATE TABLE table_3009 ("District" TEXT, "Vacator" TEXT, "Reason for change" TEXT, "Successor" TEXT, "Date successor seated" TEXT)
| Name the reason for change when George W. Greene (D) was the vacator. | SELECT "Reason for change" FROM table_3009 WHERE "Vacator" = 'George W. Greene (D)' | SELECT "Reason for change" FROM "table_3009" WHERE "Vacator" = 'George W. Greene (D)' | 0.083008 |
CREATE TABLE table_41008 ("Year" TEXT, "Matches" FLOAT, "Wins" FLOAT, "Losses" FLOAT, "No Result" FLOAT, "Success Rate" TEXT, "Away Wins" FLOAT, "Away Losses" FLOAT)
| What is the sum of Wins with a result of 0, and the away wins of 1, and the losses are less than 5? | SELECT SUM("Wins") FROM table_41008 WHERE "No Result" = '0' AND "Away Wins" = '1' AND "Losses" < '5' | SELECT SUM("Wins") FROM "table_41008" WHERE "Away Wins" = '1' AND "Losses" < '5' AND "No Result" = '0' | 0.099609 |
CREATE TABLE table_204_184 (id DECIMAL, "#" DECIMAL, "title" TEXT, "producer ( s ) " TEXT, "featured guest ( s ) " TEXT, "length" TEXT)
| which track plays before felonies ? | SELECT "title" FROM table_204_184 WHERE "#" = (SELECT "#" FROM table_204_184 WHERE "title" = '"felonies"') - 1 | SELECT "title" FROM "table_204_184" WHERE "#" = (SELECT "#" FROM "table_204_184" WHERE "title" = '"felonies"') - 1 | 0.111328 |
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, st... | list LOS ANGELES | SELECT DISTINCT city_code FROM city WHERE city_name = 'LOS ANGELES' | SELECT DISTINCT "city_code" FROM "city" WHERE "city_name" = 'LOS ANGELES' | 0.071289 |
CREATE TABLE table_name_75 (ties INT, years VARCHAR, pct VARCHAR)
| How many Ties have Years of 1919 1925, and a Pct larger than 0.734? | SELECT SUM(ties) FROM table_name_75 WHERE years = "1919–1925" AND pct > 0.734 | SELECT SUM("ties") FROM "table_name_75" WHERE "1919–1925" = "years" AND "pct" > 0.734 | 0.083008 |
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DE... | Users with the highest average question score. | SELECT MAX(U.DisplayName), COUNT(P.Id) AS NumPosts, AVG(P.Score) AS AvgScore FROM Users AS U INNER JOIN Posts AS P ON P.OwnerUserId = U.Id WHERE P.PostTypeId = 1 GROUP BY U.Id ORDER BY AvgScore DESC | SELECT MAX("U"."DisplayName"), COUNT("P"."Id") AS "NumPosts", AVG("P"."Score") AS "AvgScore" FROM "Users" AS "U" JOIN "Posts" AS "P" ON "P"."OwnerUserId" = "U"."Id" AND "P"."PostTypeId" = 1 GROUP BY "U"."Id" ORDER BY "AvgScore" DESC NULLS LAST | 0.237305 |
CREATE TABLE table_15197 ("Name" TEXT, "Hair Color:" TEXT, "Eye Color:" TEXT, "Release Date" TEXT, "Retired?" TEXT)
| What is the release date for gold hair color? | SELECT "Release Date" FROM table_15197 WHERE "Hair Color:" = 'gold' | SELECT "Release Date" FROM "table_15197" WHERE "Hair Color:" = 'gold' | 0.067383 |
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 lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, l... | what is the insurance and drug code for the patient id 24425? | SELECT demographic.insurance, prescriptions.formulary_drug_cd FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.subject_id = "24425" | SELECT "demographic"."insurance", "prescriptions"."formulary_drug_cd" FROM "demographic" JOIN "prescriptions" ON "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "24425" = "demographic"."subject_id" | 0.202148 |
CREATE TABLE table_name_8 (gold VARCHAR, bronze VARCHAR, total VARCHAR)
| How many golds were there in a game that has 17 bronze and a total of 31? | SELECT gold FROM table_name_8 WHERE bronze = "17" AND total = "31" | SELECT "gold" FROM "table_name_8" WHERE "17" = "bronze" AND "31" = "total" | 0.072266 |
CREATE TABLE table_204_673 (id DECIMAL, "name" TEXT, "egot completed" TEXT, "emmy" DECIMAL, "grammy" DECIMAL, "oscar" DECIMAL, "tony" DECIMAL)
| who completed egot the earliest year ? | SELECT "name" FROM table_204_673 ORDER BY "egot completed" LIMIT 1 | SELECT "name" FROM "table_204_673" ORDER BY "egot completed" NULLS FIRST LIMIT 1 | 0.078125 |
CREATE TABLE table_34714 ("Year" TEXT, "National Champion" TEXT, "Runner-Up" TEXT, "Location" TEXT, "Host" TEXT)
| At what Location did Robert Morris University (Illinois) Host the Lindenwood National Chamption? | SELECT "Location" FROM table_34714 WHERE "Host" = 'robert morris university (illinois)' AND "National Champion" = 'lindenwood' | SELECT "Location" FROM "table_34714" WHERE "Host" = 'robert morris university (illinois)' AND "National Champion" = 'lindenwood' | 0.125 |
CREATE TABLE CLASS (CLASS_CODE VARCHAR, CRS_CODE VARCHAR, CLASS_SECTION VARCHAR, CLASS_TIME VARCHAR, CLASS_ROOM VARCHAR, PROF_NUM INT)
CREATE TABLE EMPLOYEE (EMP_NUM INT, EMP_LNAME VARCHAR, EMP_FNAME VARCHAR, EMP_INITIAL VARCHAR, EMP_JOBCODE VARCHAR, EMP_HIREDATE DATETIME, EMP_DOB DATETIME)
CREATE TABLE COURSE (CRS_COD... | Show the number of courses each instructor taught with a bar chart grouping by course code, could you display by the bars from high to low please? | SELECT CRS_CODE, COUNT(CRS_CODE) FROM CLASS AS T1 JOIN EMPLOYEE AS T2 ON T1.PROF_NUM = T2.EMP_NUM GROUP BY CRS_CODE ORDER BY CRS_CODE DESC | SELECT "CRS_CODE", COUNT("CRS_CODE") FROM "CLASS" AS "T1" JOIN "EMPLOYEE" AS "T2" ON "T1"."PROF_NUM" = "T2"."EMP_NUM" GROUP BY "CRS_CODE" ORDER BY "CRS_CODE" DESC NULLS LAST | 0.168945 |
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE microbiologyevents (ro... | has patient 18866 received during this hospital visit a laboratory test? | SELECT COUNT(*) > 0 FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 18866 AND admissions.dischtime IS NULL) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."dischtime" IS NULL AND "admissions"."subject_id" = 18866 GROUP BY "hadm_id") SELECT COUNT(*) > 0 FROM "labevents" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "labevents"."hadm_id" WHERE NOT "_u_0"."" IS NULL | 0.282227 |
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE time_i... | i would like to leave thursday morning from INDIANAPOLIS to TORONTO | SELECT DISTINCT flight_id FROM flight WHERE (((flight_days IN (SELECT DAYSalias0.days_code FROM days AS DAYSalias0 WHERE DAYSalias0.day_name IN (SELECT DATE_DAYalias0.day_name FROM date_day AS DATE_DAYalias0 WHERE DATE_DAYalias0.day_number = 24 AND DATE_DAYalias0.month_number = 5 AND DATE_DAYalias0.year = 1991)) AND to... | WITH "_u_0" AS (SELECT "DATE_DAYalias0"."day_name" FROM "date_day" AS "DATE_DAYalias0" WHERE "DATE_DAYalias0"."day_number" = 24 AND "DATE_DAYalias0"."month_number" = 5 AND "DATE_DAYalias0"."year" = 1991 GROUP BY "day_name"), "_u_1" AS (SELECT "DAYSalias0"."days_code" FROM "days" AS "DAYSalias0" LEFT JOIN "_u_0" AS "_u_... | 1.477539 |
CREATE TABLE table_12699 ("Res." TEXT, "Record" TEXT, "Opponent" TEXT, "Method" TEXT, "Event" TEXT, "Round" FLOAT, "Time" TEXT, "Location" TEXT)
| What is Res., when Round is greater than 2, and when Event is 'Midwest Cage Championships 25: Inferno'? | SELECT "Res." FROM table_12699 WHERE "Round" > '2' AND "Event" = 'midwest cage championships 25: inferno' | SELECT "Res." FROM "table_12699" WHERE "Event" = 'midwest cage championships 25: inferno' AND "Round" > '2' | 0.104492 |
CREATE TABLE table_10489 ("Retail name" TEXT, "Chipset based on" TEXT, "Digital/analog signal" TEXT, "AVIVO" TEXT, "Available interface" TEXT)
| What is the Digital/analog signal with an Available interface with pci express, with Retail name with all-in-wonder x600 pro? | SELECT "Digital/analog signal" FROM table_10489 WHERE "Available interface" = 'pci express' AND "Retail name" = 'all-in-wonder x600 pro' | SELECT "Digital/analog signal" FROM "table_10489" WHERE "Available interface" = 'pci express' AND "Retail name" = 'all-in-wonder x600 pro' | 0.134766 |
CREATE TABLE table_66829 ("Club" TEXT, "Played" TEXT, "Drawn" TEXT, "Lost" TEXT, "Points for" TEXT, "Points against" TEXT, "Tries for" TEXT, "Tries against" TEXT, "Try bonus" TEXT, "Losing bonus" TEXT, "Points" TEXT)
| How many matches were drawn by a team with 447 points? | SELECT "Drawn" FROM table_66829 WHERE "Points for" = '447' | SELECT "Drawn" FROM "table_66829" WHERE "Points for" = '447' | 0.058594 |
CREATE TABLE table_72835 ("Country" TEXT, "Skip" TEXT, "W" FLOAT, "L" FLOAT, "PF" FLOAT, "PA" FLOAT, "Ends Won" FLOAT, "Ends Lost" FLOAT, "Blank Ends" FLOAT, "Stolen Ends" FLOAT, "Shot %" FLOAT)
| When the country was Scotland, how many ends were won? | SELECT COUNT("Ends Won") FROM table_72835 WHERE "Country" = 'Scotland' | SELECT COUNT("Ends Won") FROM "table_72835" WHERE "Country" = 'Scotland' | 0.070313 |
CREATE TABLE table_name_21 (average INT, state VARCHAR, interview VARCHAR)
| What is the Average for South Carolina with an Interview less than 9.626? | SELECT SUM(average) FROM table_name_21 WHERE state = "south carolina" AND interview < 9.626 | SELECT SUM("average") FROM "table_name_21" WHERE "interview" < 9.626 AND "south carolina" = "state" | 0.09668 |
CREATE TABLE instructor (id TEXT, name TEXT, dept_name TEXT, salary DECIMAL)
CREATE TABLE advisor (s_id TEXT, i_id TEXT)
CREATE TABLE teaches (id TEXT, course_id TEXT, sec_id TEXT, semester TEXT, year DECIMAL)
CREATE TABLE time_slot (time_slot_id TEXT, day TEXT, start_hr DECIMAL, start_min DECIMAL, end_hr DECIMAL, end_... | Which department has the lowest budget? | SELECT dept_name FROM department ORDER BY budget LIMIT 1 | SELECT "dept_name" FROM "department" ORDER BY "budget" NULLS FIRST LIMIT 1 | 0.072266 |
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 patient (uniquepid TEXT, patienthealthsystems... | what is the total number of patients who had received a immunosuppressives - mycophenolate procedure two times since 6 years ago? | SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, COUNT(*) AS c1 FROM patient WHERE patient.patientunitstayid = (SELECT treatment.patientunitstayid FROM treatment WHERE treatment.treatmentname = 'immunosuppressives - mycophenolate' AND DATETIME(treatment.treatmenttime) >= DATETIME(CURRENT_TIME(), '-6 ... | WITH "t1" AS (SELECT "patient"."uniquepid", COUNT(*) AS "c1" FROM "patient" JOIN "treatment" ON "patient"."patientunitstayid" = "treatment"."patientunitstayid" AND "treatment"."treatmentname" = 'immunosuppressives - mycophenolate' AND DATETIME("treatment"."treatmenttime") >= DATETIME(CURRENT_TIME(), '-6 year') GROUP BY... | 0.411133 |
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 admission location is emergency room admit and lab test name is troponin t? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admission_location = "EMERGENCY ROOM ADMIT" AND lab.label = "Troponin T" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Troponin T" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "EMERGENCY ROOM ADMIT" = "demographic"."admission_location" | 0.217773 |
CREATE TABLE table_24499 ("District" TEXT, "Vacator" TEXT, "Reason for change" TEXT, "Successor" TEXT, "Date successor seated" TEXT)
| Who was the successor for the reason for change being 'died January 16, 1944? | SELECT "Successor" FROM table_24499 WHERE "Reason for change" = 'Died January 16, 1944' | SELECT "Successor" FROM "table_24499" WHERE "Reason for change" = 'Died January 16, 1944' | 0.086914 |
CREATE TABLE table_name_54 (category VARCHAR, result VARCHAR, nominee VARCHAR)
| Which category was Gene Barry nominated in? | SELECT category FROM table_name_54 WHERE result = "nominated" AND nominee = "gene barry" | SELECT "category" FROM "table_name_54" WHERE "gene barry" = "nominee" AND "nominated" = "result" | 0.09375 |
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE intakeoutput (intakeoutputid D... | what were the five most commonly performed lab tests for patients who had previously been diagnosed with pulmonary hemorrhage during the same month, until 2104? | SELECT t3.labname FROM (SELECT t2.labname, 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 = 'pulmonary hemorrhage' AND STRFTIME('%y', diagnosis.d... | WITH "t2" AS (SELECT "patient"."uniquepid", "lab"."labname", "lab"."labresulttime" FROM "lab" JOIN "patient" ON "lab"."patientunitstayid" = "patient"."patientunitstayid" WHERE STRFTIME('%y', "lab"."labresulttime") <= '2104'), "t3" AS (SELECT "t2"."labname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" ... | 0.829102 |
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE... | Anonymous and Registered votes per user. | SELECT COUNT(VoteTypeId) AS Downvotes, Posts.Id AS "post_link" FROM PostFeedback LEFT JOIN Posts ON PostId = Posts.Id WHERE VoteTypeId = 3 GROUP BY Posts.Id ORDER BY Downvotes DESC | SELECT COUNT("VoteTypeId") AS "Downvotes", "Posts"."Id" AS "post_link" FROM "PostFeedback" LEFT JOIN "Posts" ON "PostId" = "Posts"."Id" WHERE "VoteTypeId" = 3 GROUP BY "Posts"."Id" ORDER BY "Downvotes" DESC NULLS LAST | 0.211914 |
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL,... | tell me the total foley cath output of patient 021-111547 on the current icu visit? | 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 = '021-111547') AND patient.unitdischargetime IS NU... | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '021-111547' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE "patient"."un... | 0.647461 |
CREATE TABLE table_31470 ("Event" FLOAT, "Circuit" TEXT, "GT3 Pro Cup Winner" TEXT, "GT3 Pro / Am Cup Winner" TEXT, "GT3 Citation Cup Winner" TEXT, "GT4 Cup Winner" TEXT)
| List all GT4 Cup winners played on the Spa-Francorchamps Report. | SELECT "GT4 Cup Winner" FROM table_31470 WHERE "Circuit" = 'Spa-Francorchamps Report' | SELECT "GT4 Cup Winner" FROM "table_31470" WHERE "Circuit" = 'Spa-Francorchamps Report' | 0.084961 |
CREATE TABLE table_name_20 (points_classification VARCHAR, stage VARCHAR)
| Who had the Points classification for Stage 13? | SELECT points_classification FROM table_name_20 WHERE stage = "13" | SELECT "points_classification" FROM "table_name_20" WHERE "13" = "stage" | 0.070313 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title ... | How many white patients have been diagnosed with single liveborn, born in hospital, and delivered by cesarean section? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.ethnicity = "WHITE" AND diagnoses.long_title = "Single liveborn, born in hospital, delivered by cesarean section" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Single liveborn, born in hospital, delivered by cesarean section" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "WHITE" = "demographic"."ethnicity" | 0.269531 |
CREATE TABLE table_57680 ("Res." TEXT, "Record" TEXT, "Opponent" TEXT, "Method" TEXT, "Event" TEXT, "Round" FLOAT, "Time" TEXT)
| What is shintaro ishiwatari's time? | SELECT "Time" FROM table_57680 WHERE "Opponent" = 'shintaro ishiwatari' | SELECT "Time" FROM "table_57680" WHERE "Opponent" = 'shintaro ishiwatari' | 0.071289 |
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE allergy (allergyid DECI... | what is the name of the drug which patient 004-29334 was allergic to since 03/2104? | SELECT allergy.drugname FROM allergy WHERE allergy.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '004-29334')) AND STRFTIME('%y-%m', allergy.allergytime) >= '2104-03' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '004-29334' 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"."" ... | 0.546875 |
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 age of patients whose primary disease is angioedema and age is greater than or equal to 51? | SELECT AVG(demographic.age) FROM demographic WHERE demographic.diagnosis = "ANGIOEDEMA" AND demographic.age >= "51" | SELECT AVG("demographic"."age") FROM "demographic" WHERE "51" <= "demographic"."age" AND "ANGIOEDEMA" = "demographic"."diagnosis" | 0.125977 |
CREATE TABLE table_name_42 (points VARCHAR, bike VARCHAR, riders VARCHAR)
| How many points does Kohta Nozane have with a Motobi TSR 6? | SELECT points FROM table_name_42 WHERE bike = "motobi tsr 6" AND riders = "kohta nozane" | SELECT "points" FROM "table_name_42" WHERE "bike" = "motobi tsr 6" AND "kohta nozane" = "riders" | 0.09375 |
CREATE TABLE university (School_ID INT, School TEXT, Location TEXT, Founded FLOAT, Affiliation TEXT, Enrollment FLOAT, Nickname TEXT, Primary_conference TEXT)
CREATE TABLE basketball_match (Team_ID INT, School_ID INT, Team_Name TEXT, ACC_Regular_Season TEXT, ACC_Percent TEXT, ACC_Home TEXT, ACC_Road TEXT, All_Games TEX... | A scatter chart shows the correlation between School_ID and All_Games_Percent , and group by attribute ACC_Regular_Season. | SELECT School_ID, All_Games_Percent FROM basketball_match GROUP BY ACC_Regular_Season | SELECT "School_ID", "All_Games_Percent" FROM "basketball_match" GROUP BY "ACC_Regular_Season" | 0.09082 |
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DE... | on the first intensive care unit visit the sao2 of patient 022-151182 was ever greater than 97.0? | SELECT COUNT(*) > 0 FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '022-151182') AND NOT patient.unitdischargetime IS NULL ORDER BY pati... | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '022-151182' GROUP BY "patienthealthsystemstayid") SELECT COUNT(*) > 0 FROM "vitalperiodic" WHERE "vitalperiodic"."patientunitstayid" IN (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_... | 0.564453 |
CREATE TABLE table_2140 ("Institution" TEXT, "Location" TEXT, "Nickname" TEXT, "Founded" FLOAT, "Type" TEXT, "Enrollment" FLOAT, "Joined" FLOAT)
| Name the nickname for enrollment being 9000 | SELECT "Nickname" FROM table_2140 WHERE "Enrollment" = '9000' | SELECT "Nickname" FROM "table_2140" WHERE "Enrollment" = '9000' | 0.061523 |
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DEC... | count the number of times patient 035-3496 had had a output y (ml)-chest tube y - a #1 right b #2 mid output since 133 months ago. | SELECT COUNT(*) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '035-3496')) AND intakeoutput.cellpath LIKE '%output%' AND intakeoutput.cel... | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '035-3496' 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"."" I... | 0.700195 |
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valu... | how did patient 75581 enter the hospital for the first time? | SELECT admissions.admission_type FROM admissions WHERE admissions.subject_id = 75581 ORDER BY admissions.admittime LIMIT 1 | SELECT "admissions"."admission_type" FROM "admissions" WHERE "admissions"."subject_id" = 75581 ORDER BY "admissions"."admittime" NULLS FIRST LIMIT 1 | 0.144531 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, na... | How many of the patients on elective admission were born before 2043? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "ELECTIVE" AND demographic.dob_year < "2043" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2043" > "demographic"."dob_year" AND "ELECTIVE" = "demographic"."admission_type" | 0.152344 |
CREATE TABLE table_204_805 (id DECIMAL, "name" TEXT, "club" TEXT, "date of departure" TEXT, "replacement" TEXT, "date of appointment" TEXT)
| hans r. esmer and christophe larrouilh were both replaced in what month in 2009 ? | SELECT "date of departure" FROM table_204_805 WHERE "name" = 'hans r. emser' | SELECT "date of departure" FROM "table_204_805" WHERE "name" = 'hans r. emser' | 0.076172 |
CREATE TABLE field (fieldid INT)
CREATE TABLE writes (paperid INT, authorid INT)
CREATE TABLE paperfield (fieldid INT, paperid INT)
CREATE TABLE keyphrase (keyphraseid INT, keyphrasename VARCHAR)
CREATE TABLE venue (venueid INT, venuename VARCHAR)
CREATE TABLE dataset (datasetid INT, datasetname VARCHAR)
CREATE TABLE a... | What journals has james landay published in ? | SELECT DISTINCT paper.journalid FROM author, paper, writes WHERE author.authorname = 'james landay' AND writes.authorid = author.authorid AND writes.paperid = paper.paperid GROUP BY paper.journalid | SELECT DISTINCT "paper"."journalid" FROM "author" JOIN "writes" ON "author"."authorid" = "writes"."authorid" JOIN "paper" ON "paper"."paperid" = "writes"."paperid" WHERE "author"."authorname" = 'james landay' GROUP BY "paper"."journalid" | 0.231445 |
CREATE TABLE Settlements (Settlement_ID INT, Claim_ID INT, Date_Claim_Made DATE, Date_Claim_Settled DATE, Amount_Claimed INT, Amount_Settled INT, Customer_Policy_ID INT)
CREATE TABLE Claims (Claim_ID INT, Policy_ID INT, Date_Claim_Made DATE, Date_Claim_Settled DATE, Amount_Claimed INT, Amount_Settled INT)
CREATE TABLE ... | Plot the number of payment method code by grouped by payment method code as a bar graph | SELECT Payment_Method_Code, COUNT(Payment_Method_Code) FROM Payments GROUP BY Payment_Method_Code | SELECT "Payment_Method_Code", COUNT("Payment_Method_Code") FROM "Payments" GROUP BY "Payment_Method_Code" | 0.102539 |
CREATE TABLE table_2828 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Record" TEXT)
| What is the score for game 78? | SELECT "Score" FROM table_2828 WHERE "Game" = '78' | SELECT "Score" FROM "table_2828" WHERE "Game" = '78' | 0.050781 |
CREATE TABLE table_name_71 (grid VARCHAR, rider VARCHAR)
| The rider mike di meglio had a total of how many grids? | SELECT COUNT(grid) FROM table_name_71 WHERE rider = "mike di meglio" | SELECT COUNT("grid") FROM "table_name_71" WHERE "mike di meglio" = "rider" | 0.072266 |
CREATE TABLE table_27704187_7 (location_attendance VARCHAR, team VARCHAR)
| Where was the game against Detroit played? | SELECT location_attendance FROM table_27704187_7 WHERE team = "Detroit" | SELECT "location_attendance" FROM "table_27704187_7" WHERE "Detroit" = "team" | 0.075195 |
CREATE TABLE table_name_62 (ofsted_number INT, dcsf_number VARCHAR, intake VARCHAR, type VARCHAR)
| What is the junior type with an intake of 60 and a DCSF number less than 3386 with the smallest Ofsted number? | SELECT MIN(ofsted_number) FROM table_name_62 WHERE intake = 60 AND type = "junior" AND dcsf_number < 3386 | SELECT MIN("ofsted_number") FROM "table_name_62" WHERE "dcsf_number" < 3386 AND "intake" = 60 AND "junior" = "type" | 0.112305 |
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
| For those records from the products and each product's manufacturer, give me the comparison about the average of code over the name , and group by attribute name by a bar chart, and I want to list by the bar from low to high. | SELECT T2.Name, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Name ORDER BY T2.Name | SELECT "T2"."Name", "T1"."Code" FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T2"."Name" ORDER BY "T2"."Name" NULLS FIRST | 0.170898 |
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