NATURAL_LANG stringlengths 0 446 | SCHEMA stringlengths 27 2.21k | SQL stringlengths 18 453 | input_ids list | attention_mask list | labels list |
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Which music led to a safe result and was choreographed by Jason Gilkison? | CREATE TABLE table_name_57 (
music VARCHAR,
results VARCHAR,
choreographer_s_ VARCHAR
) | SELECT music FROM table_name_57 WHERE results = "safe" AND choreographer_s_ = "jason gilkison" | [
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Which Games have Years at club of 1974 1975, and Goals of 4? | CREATE TABLE table_66242 (
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"Player" text,
"Games" real,
"Goals" real,
"Years at club" text
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what is the branding when the call sign is ckua-fm-3? | CREATE TABLE table_name_33 (
branding VARCHAR,
call_sign VARCHAR
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What was the average Points of the season driver Fernando Alonso had a percentage of possible points of 53.05%? | CREATE TABLE table_name_15 (points INTEGER, driver VARCHAR, percentage_of_possible_points VARCHAR) | SELECT AVG(points) FROM table_name_15 WHERE driver = "fernando alonso" AND percentage_of_possible_points = "53.05%" | [
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Which Tournament has Opponents in the final of maria lindström maria strandlund? | CREATE TABLE table_name_17 (tournament VARCHAR, opponents_in_the_final VARCHAR) | SELECT tournament FROM table_name_17 WHERE opponents_in_the_final = "maria lindström maria strandlund" | [
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What is the lowest founded that has bizerte athletic f.c. as the club? | CREATE TABLE table_name_42 (
founded INTEGER,
club VARCHAR
) | SELECT MIN(founded) FROM table_name_42 WHERE club = "bizerte athletic f.c." | [
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When was 11-8 the record? | CREATE TABLE table_name_43 (date VARCHAR, record VARCHAR) | SELECT date FROM table_name_43 WHERE record = "11-8" | [
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What are the distinct types of mills that are built by American or Canadian architects? | CREATE TABLE mill (
type VARCHAR,
architect_id VARCHAR
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Id VARCHAR
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in this hospital visit, was there a microbiological test of patient 031-3355's blood, venipuncture? | CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
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what is the number of patients whose year of birth is less than 2090 and drug route is inhalation? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
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... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.dob_year < "2090" AND prescriptions.route = "INHALATION" | [
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What is the highest number of byes where the losses were 9 and the draws were less than 0? | CREATE TABLE table_name_93 (byes INTEGER, losses VARCHAR, draws VARCHAR) | SELECT MAX(byes) FROM table_name_93 WHERE losses = 9 AND draws < 0 | [
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How many Goals against have Goals for smaller than 33, and Points smaller than 16? | CREATE TABLE table_59040 (
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"Played" real,
"Points" real,
"Wins" real,
"Draws" real,
"Losses" real,
"Goals for" real,
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What is the ratings for the original air date may 25, 2010 22.00 - 22.54? | CREATE TABLE table_26591434_1 (ratings__kansai_ VARCHAR, original_airdate VARCHAR) | SELECT ratings__kansai_ FROM table_26591434_1 WHERE original_airdate = "May 25, 2010 22.00 - 22.54" | [
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what lane was new zealand in? | CREATE TABLE table_69065 (
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"Lane" real,
"Name" text,
"Nationality" text,
"Time" text
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What is the M60A3 when the M1A1 is T (Short Tons)? | CREATE TABLE table_name_17 (m60a3_patton VARCHAR, m1a1_abrams VARCHAR) | SELECT m60a3_patton FROM table_name_17 WHERE m1a1_abrams = "t (short tons)" | [
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When was the race that set the record for the Izod Indycar Series? | CREATE TABLE table_name_47 (date VARCHAR, record VARCHAR) | SELECT date FROM table_name_47 WHERE record = "izod indycar series" | [
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What is the RECNet belonging to Class A with a Power of 3,000 watts? | CREATE TABLE table_name_75 (recnet VARCHAR, class VARCHAR, power VARCHAR) | SELECT recnet FROM table_name_75 WHERE class = "a" AND power = "3,000 watts" | [
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Which position in the table is the team watford? | CREATE TABLE table_18784280_3 (position_in_table VARCHAR, team VARCHAR) | SELECT position_in_table FROM table_18784280_3 WHERE team = "Watford" | [
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Name the explanation for alben w. barkley | CREATE TABLE table_23636 (
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"Order in office" real,
"Vice President" text,
"Length of term in days" real,
"Explanation" text
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provide the number of patients whose year of birth is less than 2126 and lab test abnormal status is abnormal? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
C... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dob_year < "2126" AND lab.flag = "abnormal" | [
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What is the latest week with an attendance of 74,162? | CREATE TABLE table_78564 (
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"Result" text,
"Attendance" text
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What is the average edispl of the cars of model volvo? | CREATE TABLE CARS_DATA (edispl INTEGER, Id VARCHAR); CREATE TABLE CAR_NAMES (MakeId VARCHAR, Model VARCHAR) | SELECT AVG(T2.edispl) FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId = T2.Id WHERE T1.Model = 'volvo' | [
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What is the highest Against for a game against Bristol City? | CREATE TABLE table_64410 (
"Opposing Team" text,
"Against" real,
"Date" text,
"Venue" text,
"Round" text
) | SELECT MAX("Against") FROM table_64410 WHERE "Opposing Team" = 'bristol city' | [
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What is the mass of the element with a nuclide that is 169 tm? | CREATE TABLE table_15366768_1 (isotopic_mass___u__ VARCHAR, nuclide VARCHAR) | SELECT isotopic_mass___u__ FROM table_15366768_1 WHERE nuclide = "169 Tm" | [
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provide the number of patients whose age is less than 85 and procedure long title is ureteral catheterization? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.age < "85" AND procedures.long_title = "Ureteral catheterization" | [
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Kaimganj has what reserved for (SC / ST /None)? | CREATE TABLE table_62520 (
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"Name" text,
"Reserved for ( SC / ST /None)" text,
"District" text,
"Number of electorates (2009)" real
) | SELECT "Reserved for ( SC / ST /None)" FROM table_62520 WHERE "Name" = 'kaimganj' | [
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When was the premiere of the show that had a rank of #7? | CREATE TABLE table_name_30 (premiere VARCHAR, rank VARCHAR) | SELECT premiere FROM table_name_30 WHERE rank = "#7" | [
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What nation has a total more than 3, with more than 5 for bronze, and less than 4 for the silver? | CREATE TABLE table_34035 (
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"Nation" text,
"Gold" real,
"Silver" real,
"Bronze" real,
"Total" real
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For employees without the letter M in their first name, give me a line chart to show the salary change over their hire date using a line chart, and sort by the HIRE_DATE in asc. | CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE regions (
REGION_... | SELECT HIRE_DATE, SALARY FROM employees WHERE NOT FIRST_NAME LIKE '%M%' ORDER BY HIRE_DATE | [
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What venue had footscray play at it? | CREATE TABLE table_name_87 (venue VARCHAR, away_team VARCHAR) | SELECT venue FROM table_name_87 WHERE away_team = "footscray" | [
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What is the largest roll with Years 1–8, a Name of dorie school, and a Decile larger than 9? | CREATE TABLE table_name_49 (roll INTEGER, decile VARCHAR, years VARCHAR, name VARCHAR) | SELECT MAX(roll) FROM table_name_49 WHERE years = "1–8" AND name = "dorie school" AND decile > 9 | [
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Which venues were closed because they were replaced? | CREATE TABLE table_name_5 (location VARCHAR, reason VARCHAR) | SELECT location FROM table_name_5 WHERE reason = "replaced" | [
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Which player is a tight end with a round higher than 3? | CREATE TABLE table_name_4 (
name VARCHAR,
position VARCHAR,
round VARCHAR
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Who is the Winner on June 2, 2007? | CREATE TABLE table_name_44 (
winner VARCHAR,
date VARCHAR
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How many picks on average did Jay Bruchak have before round 6? | CREATE TABLE table_name_7 (
pick INTEGER,
player VARCHAR,
round VARCHAR
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What Time/Retired has a Laps of 86 and the Team of HVM Racing? | CREATE TABLE table_name_73 (
time_retired VARCHAR,
laps VARCHAR,
team VARCHAR
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there are no landline prefixes for what 4 companies ? | CREATE TABLE table_203_202 (
id number,
"network" text,
"company" text,
"mobile prefixes" text,
"mobile examples" text,
"landline prefixes" text,
"landline examples" text,
"notes" text
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What are the names of tourist attractions that can be reached by walk or is at address 660 Shea Crescent? | CREATE TABLE Locations (
Location_ID VARCHAR,
Address VARCHAR
)
CREATE TABLE Tourist_Attractions (
Name VARCHAR,
Location_ID VARCHAR,
How_to_Get_There VARCHAR
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what is the number of patients whose drug code is humu100i? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.formulary_drug_cd = "HUMU100I" | [
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What is the ceremony year when Ganito Kami Noon, Paano Kayo Ngayon was the original title? | CREATE TABLE table_78757 (
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What is the assists for the year 1995? | CREATE TABLE table_name_66 (
assists VARCHAR,
year VARCHAR
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What club team is Per Gustafsson play for? | CREATE TABLE table_1013129_11 (college_junior_club_team VARCHAR, player VARCHAR) | SELECT college_junior_club_team FROM table_1013129_11 WHERE player = "Per Gustafsson" | [
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For all employees who have the letters D or S in their first name, show me about the distribution of hire_date and the average of department_id bin hire_date by weekday in a bar chart, and sort from high to low by the y-axis. | CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(... | SELECT HIRE_DATE, AVG(DEPARTMENT_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY AVG(DEPARTMENT_ID) DESC | [
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What is the Apparent magnitude of a Declination (J2000) of 39 45 ? | CREATE TABLE table_58536 (
"NGC number" real,
"Object type" text,
"Constellation" text,
"Right ascension ( J2000 )" text,
"Declination ( J2000 )" text,
"Apparent magnitude" real
) | SELECT MIN("Apparent magnitude") FROM table_58536 WHERE "Declination ( J2000 )" = '°39′45″' | [
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history of congestive heart failure | CREATE TABLE table_train_195 (
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"gender" string,
"pregnancy_or_lactation" bool,
"allergy_to_perflutren" bool,
"heart_disease" bool,
"body_mass_index_bmi" float,
"age" float,
"NOUSE" float
) | SELECT * FROM table_train_195 WHERE heart_disease = 1 | [
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How many years have a final score of 6 3, 6 2? | CREATE TABLE table_22834834_3 (
year VARCHAR,
score_in_the_final VARCHAR
) | SELECT COUNT(year) FROM table_22834834_3 WHERE score_in_the_final = "6–3, 6–2" | [
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What is the lowest number of total race points for the country of Belgium? | CREATE TABLE table_23293785_2 (
race_total_pts_ INTEGER,
country VARCHAR
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Find All_Games and ACC_Percent , and visualize them by a bar chart, and I want to list from high to low by the names. | CREATE TABLE basketball_match (
Team_ID int,
School_ID int,
Team_Name text,
ACC_Regular_Season text,
ACC_Percent text,
ACC_Home text,
ACC_Road text,
All_Games text,
All_Games_Percent int,
All_Home text,
All_Road text,
All_Neutral text
)
CREATE TABLE university (
Scho... | SELECT All_Games, ACC_Percent FROM basketball_match ORDER BY All_Games DESC | [
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Who had an order of 907 and more than 1 game? | CREATE TABLE table_name_67 (
name VARCHAR,
games VARCHAR,
order VARCHAR
) | SELECT name FROM table_name_67 WHERE games > 1 AND order = 907 | [
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Where is the show aired in New Zealand? | CREATE TABLE table_19382 (
"Country" text,
"Local Name" text,
"Host" text,
"Channel" text,
"Year Aired" text,
"Top Prize" text
) | SELECT "Channel" FROM table_19382 WHERE "Country" = 'New Zealand' | [
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What are the sale details and dates of transactions with amount smaller than 3000? | CREATE TABLE transactions (
transaction_id number,
investor_id number,
transaction_type_code text,
date_of_transaction time,
amount_of_transaction number,
share_count text,
other_details text
)
CREATE TABLE investors (
investor_id number,
investor_details text
)
CREATE TABLE sales ... | SELECT T1.sales_details, T2.date_of_transaction FROM sales AS T1 JOIN transactions AS T2 ON T1.sales_transaction_id = T2.transaction_id WHERE T2.amount_of_transaction < 3000 | [
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What try bonus has 19 as the tries against? | CREATE TABLE table_name_17 (
try_bonus VARCHAR,
tries_against VARCHAR
) | SELECT try_bonus FROM table_name_17 WHERE tries_against = "19" | [
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Which player was a running back from San Jose State? | CREATE TABLE table_name_94 (player VARCHAR, position VARCHAR, college VARCHAR) | SELECT player FROM table_name_94 WHERE position = "running back" AND college = "san jose state" | [
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Which song was sung by Artist Luther Vandross in the Week Top 20? | CREATE TABLE table_name_17 (song_sung VARCHAR, artist VARCHAR, week VARCHAR) | SELECT song_sung FROM table_name_17 WHERE artist = "luther vandross" AND week = "top 20" | [
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What's the record for October 8, 2000 before week 13? | CREATE TABLE table_name_61 (record VARCHAR, week VARCHAR, date VARCHAR) | SELECT record FROM table_name_61 WHERE week < 13 AND date = "october 8, 2000" | [
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Who acquired tom norton? | CREATE TABLE table_name_1 (acquired VARCHAR, player VARCHAR) | SELECT acquired FROM table_name_1 WHERE player = "tom norton" | [
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What is the score for set 2 when set 3 was 15 6? | CREATE TABLE table_name_61 (
set_2 VARCHAR,
set_3 VARCHAR
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What is the name of the track in Holland? | CREATE TABLE table_name_2 (track VARCHAR, city VARCHAR) | SELECT track FROM table_name_2 WHERE city = "holland" | [
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Who is the away captain for the matches dated 7,8,10,11 feb 1908? | CREATE TABLE table_44917 (
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"Away captain" text,
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"Result" text
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which is the smallest prison on the list ? | CREATE TABLE table_204_414 (
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"location" text,
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"notes" text
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Which opponent was present on April 14? | CREATE TABLE table_37086 (
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"Date" text,
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"Series" text
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"Distribution" text,
"Engine" text,
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"Power hp (kW)" text
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For the film with director listed as 1998, what was the gross in Singapore? | CREATE TABLE table_40913 (
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"Production Cost" text,
"Singapore Gross" text
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What is Rank, when Silver is less than 6, when Bronze is greater than 4, and when Total is 10? | CREATE TABLE table_46938 (
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"Nation" text,
"Gold" real,
"Silver" real,
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"Total" real
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What is the highest number listed under against when there were less than 3 wins and less than 15 losses? | CREATE TABLE table_name_20 (
against INTEGER,
wins VARCHAR,
losses VARCHAR
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Which Scrapped/Sold has a Builder of derby, and a Name as rebuilt of ben madigan? | CREATE TABLE table_name_74 (scrapped_sold VARCHAR, builder VARCHAR, name_as_rebuilt VARCHAR) | SELECT scrapped_sold FROM table_name_74 WHERE builder = "derby" AND name_as_rebuilt = "ben madigan" | [
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What is Score, when Away Team is "Newcastle Benfield"? | CREATE TABLE table_name_18 (score VARCHAR, away_team VARCHAR) | SELECT score FROM table_name_18 WHERE away_team = "newcastle benfield" | [
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what is the preliminary average score when the evening gown score is 8.774 (6)? | CREATE TABLE table_name_58 (preliminary_average VARCHAR, evening_gown VARCHAR) | SELECT preliminary_average FROM table_name_58 WHERE evening_gown = "8.774 (6)" | [
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what is date of birth and admission type of subject name james sloan? | CREATE TABLE diagnoses (
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hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id... | SELECT demographic.dob, demographic.admission_type FROM demographic WHERE demographic.name = "James Sloan" | [
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How many gold medals were awarded to teams ranked higher than 19? | CREATE TABLE table_name_8 (
gold VARCHAR,
rank INTEGER
) | SELECT COUNT(gold) FROM table_name_8 WHERE rank > 19 | [
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What's Georgia5's first elected year? | CREATE TABLE table_18202 (
"District" text,
"Incumbent" text,
"Party" text,
"First elected" real,
"Status" text,
"Opponent" text
) | SELECT MAX("First elected") FROM table_18202 WHERE "District" = 'Georgia5' | [
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Which sport has a time over 49? | CREATE TABLE table_75225 (
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"Nation" text,
"Date" text,
"Time (sec.)" real
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what is the number of patients whose drug code is ris1l and lab test fluid is pleural? | 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 t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE prescriptions.formulary_drug_cd = "RIS1L" AND lab.fluid = "Pleural" | [
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Find the team names of the universities whose enrollments are smaller than the average enrollment size. | CREATE TABLE university (school_id VARCHAR); CREATE TABLE basketball_match (team_name VARCHAR, school_id VARCHAR); CREATE TABLE university (enrollment INTEGER) | SELECT t2.team_name FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id WHERE enrollment < (SELECT AVG(enrollment) FROM university) | [
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What is the largest WNBA game average with 9,290 (4th) is the average, and less than 157,934 is the total for the year? | CREATE TABLE table_62023 (
"Year" real,
"Average" text,
"High" real,
"Sellouts" real,
"Total for year" real,
"WNBA game average" real
) | SELECT MAX("WNBA game average") FROM table_62023 WHERE "Average" = '9,290 (4th)' AND "Total for year" < '157,934' | [
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What the rank of the Virgin Islands athlete with react under 0.168? | CREATE TABLE table_name_44 (
rank VARCHAR,
react VARCHAR,
nationality VARCHAR
) | SELECT rank FROM table_name_44 WHERE react < 0.168 AND nationality = "virgin islands" | [
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What is the country of Craig Stadler? | CREATE TABLE table_name_65 (
country VARCHAR,
player VARCHAR
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find id of the tv channels that from the countries where have more than two tv channels. | CREATE TABLE tv_channel (id VARCHAR, country VARCHAR) | SELECT id FROM tv_channel GROUP BY country HAVING COUNT(*) > 2 | [
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Which Against has a Date of 30/05/1981? | CREATE TABLE table_name_63 (
against VARCHAR,
date VARCHAR
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What is total number of the to par of player john mahaffey, who has a total less than 298? | CREATE TABLE table_name_9 (
to_par VARCHAR,
player VARCHAR,
total VARCHAR
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Give me the title and highest price for each film by a pie chart. | CREATE TABLE cinema (
Cinema_ID int,
Name text,
Openning_year int,
Capacity int,
Location text
)
CREATE TABLE schedule (
Cinema_ID int,
Film_ID int,
Date text,
Show_times_per_day int,
Price float
)
CREATE TABLE film (
Film_ID int,
Rank_in_series int,
Number_in_seaso... | SELECT Title, MAX(T1.Price) FROM schedule AS T1 JOIN film AS T2 ON T1.Film_ID = T2.Film_ID GROUP BY Title | [
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Which Position has a Round larger than 6, and a Player of neil pilon? | CREATE TABLE table_34403 (
"Round" real,
"Player" text,
"Position" text,
"Nationality" text,
"College/Junior/Club Team (League)" text
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When is sample 3763 collected? | CREATE TABLE sampledata15 (
sample_pk number,
state text,
year text,
month text,
day text,
site text,
commod text,
source_id text,
variety text,
origin text,
country text,
disttype text,
commtype text,
claim text,
quantity number,
growst text,
packst t... | SELECT year, month, day FROM sampledata15 WHERE sample_pk = 3763 | [
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What was the match type in Budapest where the opponent was Luxembourg? | CREATE TABLE table_name_64 (match_type VARCHAR, location VARCHAR, opponenent VARCHAR) | SELECT match_type FROM table_name_64 WHERE location = "budapest" AND opponenent = "luxembourg" | [
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For those employees who do not work in departments with managers that have ids between 100 and 200, give me the comparison about employee_id over the job_id , and sort in asc by the bar. | CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
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Name the most game for record 4-0 | CREATE TABLE table_22815259_1 (
game INTEGER,
record VARCHAR
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Which Event is in chandigarh , india? | CREATE TABLE table_50034 (
"Res." text,
"Record" text,
"Opponent" text,
"Method" text,
"Event" text,
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What country does Bobby Nichols play for? | CREATE TABLE table_name_70 (country VARCHAR, player VARCHAR) | SELECT country FROM table_name_70 WHERE player = "bobby nichols" | [
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Give me a bar chart for how many name of each name | CREATE TABLE train (
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From text,
Arrival text,
Railway_ID int
)
CREATE TABLE manager (
Manager_ID int,
Name text,
Country text,
Working_year_starts text,
Age int,
Level int
)
CREATE TABLE railway_manage (
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M... | SELECT Name, COUNT(Name) FROM train GROUP BY Name | [
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What was the largest crowd when South Melbourne was the away team? | CREATE TABLE table_name_89 (
crowd INTEGER,
away_team VARCHAR
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What type had a beginning term of December 8, 1980 | CREATE TABLE table_1602620_1 (
type VARCHAR,
term_began VARCHAR
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Name the club for when tries for is 32 | CREATE TABLE table_21840 (
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"Drawn" text,
"Lost" text,
"Points for" text,
"Points against" text,
"Tries for" text,
"Tries against" text,
"Try bonus" text,
"Losing bonus" text,
"Points" text
) | SELECT "Club" FROM table_21840 WHERE "Tries for" = '32' | [
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Name the incumbent for 1954 | CREATE TABLE table_699 (
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"Incumbent" text,
"Party" text,
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"Result" text,
"Candidates" text
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how many times was the qualifying score 60.750? | CREATE TABLE table_17991 (
"Year" real,
"Competition" text,
"Location" text,
"Event" text,
"Final-Rank" text,
"Final-Score" text,
"Qualifying Rank" real,
"Qualifying Score" text
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What is the lowest interview of Texas, with an average larger than 9.531? | CREATE TABLE table_54687 (
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"Interview" real,
"Swimsuit" real,
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"Average" real
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how many patients are diagnosed with bronchoscopy? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescription... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE procedures.short_title = "Other bronchoscopy" | [
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3388,
18206,
3,
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51,
834,
23,
26,
3274,
4293,
5,
8399,
51,
834,
23,
26,
549,
17444,... |
the average silver medal count of the first five ranked nations ? | CREATE TABLE table_203_653 (
id number,
"rank" number,
"nation" text,
"gold" number,
"silver" number,
"bronze" number,
"total" number
) | SELECT AVG("silver") FROM table_203_653 WHERE "rank" <= 5 | [
32100,
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953,
834,
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1,
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1,
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1,
1,
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1... | [
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-100,
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-100,
-100,
-100,
-100,... |
which airline has the highest license # | CREATE TABLE table_203_58 (
id number,
"airline" text,
"airline (in russian)" text,
"licence #" number,
"icao" text,
"iata" text,
"domestic code" text,
"callsign" text,
"photo" text
) | SELECT "airline" FROM table_203_58 ORDER BY "licence #" DESC LIMIT 1 | [
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332,
17098,
953,
834,
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41,
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26,
381,
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41,
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26165,
29,
61,
121,
1499,
6,
96,
2176,
1433,
1713,
121,
381,
6,
96,
26... | [
1,
1,
1,
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1,
1,
1,
1,
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1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
2256,
747,
121,
21680,
953,
834,
23330,
834,
3449,
4674,
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-100,
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-100,
-100,
-100,
-... |
which country was the venue in the most number of times ? | CREATE TABLE table_203_384 (
id number,
"#" number,
"date" text,
"venue" text,
"opponent" text,
"score" text,
"result" text,
"competition" text
) | SELECT "venue" FROM table_203_384 GROUP BY "venue" ORDER BY COUNT(*) DESC LIMIT 1 | [
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15098,
121,
1499,
6,
96,
32,
102,
9977,
121,
1499,
6,
96,
7,
9022,
12... | [
1,
1,
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1,
1,
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1,
1,
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1,
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1,
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1,
1,
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1,
1,
1,
1,
1,
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1,
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1,
1,
1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
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23330,
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350,
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25067,
8729,
12604,
209,
1,
-100,
-100,
-100,
-100,
-100,
-100... |
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