instruction stringlengths 0 1.06k | input stringlengths 33 7.14k | response stringlengths 2 4.44k | source stringclasses 25
values | prompt listlengths 1 1 | input_ids listlengths 1 1 | label_ids listlengths 1 1 |
|---|---|---|---|---|---|---|
Questions per month in specific tags. How many questions per month does each tag in group has | CREATE TABLE SuggestedEdits (
Id number,
PostId number,
CreationDate time,
ApprovalDate time,
RejectionDate time,
OwnerUserId number,
Comment text,
Text text,
Title text,
Tags text,
RevisionGUID other
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnon... | SELECT COUNT(Id) FROM Posts WHERE Tags LIKE '%<php>%' AND CreationDate > '2012-06-01' AND CreationDate < '2012-06-03' | sede | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Who scored the lowest with 8 gold medals and less than 4 silver medals? | CREATE TABLE table_name_40 (
total INTEGER,
gold VARCHAR,
silver VARCHAR
) | SELECT MIN(total) FROM table_name_40 WHERE gold = 8 AND silver < 4 | sql_create_context | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What's the score on December 1 when Philadelphia visited? | CREATE TABLE table_name_41 (
score VARCHAR,
visitor VARCHAR,
date VARCHAR
) | SELECT score FROM table_name_41 WHERE visitor = "philadelphia" AND date = "december 1" | sql_create_context | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
How many were in Attendance on December 11, 1954? | CREATE TABLE table_name_14 (
attendance VARCHAR,
date VARCHAR
) | SELECT COUNT(attendance) FROM table_name_14 WHERE date = "december 11, 1954" | sql_create_context | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the broadcast date with 7.0 million viewers? | CREATE TABLE table_name_46 (
broadcast_date VARCHAR,
viewers__in_millions_ VARCHAR
) | SELECT broadcast_date FROM table_name_46 WHERE viewers__in_millions_ = "7.0" | sql_create_context | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
How many annual interchanges in the millions occurred in 2011-12 when the number of annual entry/exits was 36.609 million? | CREATE TABLE table_18118221_1 (
annual_interchanges__millions__2011_12 VARCHAR,
annual_entry_exit__millions__2011_12 VARCHAR
) | SELECT annual_interchanges__millions__2011_12 FROM table_18118221_1 WHERE annual_entry_exit__millions__2011_12 = "36.609" | sql_create_context | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
has patient 004-7984 actually visited the hospital until 2102? | CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
... | SELECT COUNT(*) > 0 FROM patient WHERE patient.uniquepid = '004-7984' AND STRFTIME('%y', patient.hospitaladmittime) <= '2102' | eicu | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
at which world indoor championships did peter widen achieve a higher position : 1989 or 1991 ? | CREATE TABLE table_204_445 (
id number,
"year" number,
"competition" text,
"venue" text,
"position" text,
"notes" text
) | SELECT "year" FROM table_204_445 WHERE "year" IN (1989, 1991) ORDER BY "position" LIMIT 1 | squall | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What are the last names of staff with email addressed containing the substring 'wrau'? | CREATE TABLE staff (
staff_id number,
gender text,
first_name text,
last_name text,
email_address text,
phone_number text
)
CREATE TABLE products (
product_id number,
parent_product_id number,
product_category_code text,
date_product_first_available time,
date_product_discon... | SELECT last_name FROM staff WHERE email_address LIKE "%wrau%" | spider | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What was the away score when they played at Brunswick Street Oval? | CREATE TABLE table_55950 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
) | SELECT "Away team score" FROM table_55950 WHERE "Venue" = 'brunswick street oval' | wikisql | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
During which years did Jim Farmer play for Jazz? | CREATE TABLE table_11545282_6 (
years_for_jazz VARCHAR,
player VARCHAR
) | SELECT years_for_jazz FROM table_11545282_6 WHERE player = "Jim Farmer" | sql_create_context | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the average and maximum damage in millions for storms that had a max speed over 1000? | CREATE TABLE storm (
storm_id number,
name text,
dates_active text,
max_speed number,
damage_millions_usd number,
number_deaths number
)
CREATE TABLE region (
region_id number,
region_code text,
region_name text
)
CREATE TABLE affected_region (
region_id number,
storm_id nu... | SELECT AVG(damage_millions_usd), MAX(damage_millions_usd) FROM storm WHERE max_speed > 1000 | spider | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What was the Purse ($) total for Iowa? | CREATE TABLE table_39859 (
"Date" text,
"Tournament" text,
"Location" text,
"Purse( $ )" real,
"Winner" text,
"Score" text,
"1st Prize( $ )" text
) | SELECT COUNT("Purse( $ )") FROM table_39859 WHERE "Location" = 'iowa' | wikisql | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What was the date of appointment for Christos Kassianos who belonged to AEK? | CREATE TABLE table_name_38 (
date_of_appointment VARCHAR,
team VARCHAR,
replaced_by VARCHAR
) | SELECT date_of_appointment FROM table_name_38 WHERE team = "aek" AND replaced_by = "christos kassianos" | sql_create_context | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
show flights and fare information from PITTSBURGH connecting through DENVER to OAKLAND | CREATE TABLE city (
city_code varchar,
city_name varchar,
state_code varchar,
country_name varchar,
time_zone_code varchar
)
CREATE TABLE ground_service (
city_code text,
airport_code text,
transport_type text,
ground_fare int
)
CREATE TABLE dual_carrier (
main_airline varchar,... | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, airport_service AS AIRPORT_SERVICE_2, city AS CITY_0, city AS CITY_1, city AS CITY_2, fare, flight, flight_fare, flight_stop WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'OAK... | atis | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
since 2104, has any urine, voided specimen microbiology test been carried out on patient 025-19271? | CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartr... | SELECT COUNT(*) FROM microlab WHERE microlab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '025-19271')) AND microlab.culturesite = 'urine, voided specimen' AND STRFTIME('%y'... | eicu | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Return a bar chart on what are the countries of perpetrators? Show each country and the corresponding number of perpetrators there, and list in descending by the y axis please. | CREATE TABLE perpetrator (
Perpetrator_ID int,
People_ID int,
Date text,
Year real,
Location text,
Country text,
Killed int,
Injured int
)
CREATE TABLE people (
People_ID int,
Name text,
Height real,
Weight real,
"Home Town" text
) | SELECT Country, COUNT(*) FROM perpetrator GROUP BY Country ORDER BY COUNT(*) DESC | nvbench | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Who was the home team at the Nuggets game that had a score of 116 105? | CREATE TABLE table_name_24 (
home VARCHAR,
score VARCHAR
) | SELECT home FROM table_name_24 WHERE score = "116–105" | sql_create_context | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the highest Losses, when Wins is '1', and when Matches is less than 2? | CREATE TABLE table_12691 (
"Matches" real,
"Wins" real,
"Draw" real,
"Losses" real,
"Against" real
) | SELECT MAX("Losses") FROM table_12691 WHERE "Wins" = '1' AND "Matches" < '2' | wikisql | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the total for 1984 for the team with 100 points total and more than 3 seasons? | CREATE TABLE table_79049 (
"Team" text,
"1982" text,
"1983" text,
"1984" real,
"Total points" real,
"Seasons" real,
"Points average" real
) | SELECT SUM("1984") FROM table_79049 WHERE "Total points" = '100' AND "Seasons" > '3' | wikisql | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
since 10/2105, was there any microbiology test result for the other of patient 031-3355? | CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemics... | SELECT COUNT(*) FROM microlab WHERE microlab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '031-3355')) AND microlab.culturesite = 'other' AND STRFTIME('%y-%m', microlab.cult... | eicu | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What Constellation has a 20h56m40s Right Ascension (J2000)? | CREATE TABLE table_11440 (
"NGC number" real,
"Object type" text,
"Constellation" text,
"Right ascension ( J2000 )" text,
"Declination ( J2000 )" text
) | SELECT "Constellation" FROM table_11440 WHERE "Right ascension ( J2000 )" = '20h56m40s' | wikisql | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which Opponent has a Record of 38 20 12 2? | CREATE TABLE table_75246 (
"Game" real,
"March" real,
"Opponent" text,
"Score" text,
"Record" text,
"Points" real
) | SELECT "Opponent" FROM table_75246 WHERE "Record" = '38–20–12–2' | wikisql | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
what is the english translation when the artist is ann christine? | CREATE TABLE table_name_10 (
english_translation VARCHAR,
artist VARCHAR
) | SELECT english_translation FROM table_name_10 WHERE artist = "ann christine" | sql_create_context | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the molecular target listed under the compounded name of hemiasterlin (e7974) | CREATE TABLE table_12715053_1 (
molecular_target VARCHAR,
compound_name VARCHAR
) | SELECT molecular_target FROM table_12715053_1 WHERE compound_name = "Hemiasterlin (E7974)" | sql_create_context | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which production had Rex Robbins as Herbie? | CREATE TABLE table_name_96 (
productions VARCHAR,
herbie VARCHAR
) | SELECT productions FROM table_name_96 WHERE herbie = "rex robbins" | sql_create_context | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Kevin lucas appears in which seasons? | CREATE TABLE table_17675 (
"Character" text,
"Portrayed by" text,
"Main cast seasons" text,
"Recurring cast seasons" text,
"# of episodes" real
) | SELECT "Recurring cast seasons" FROM table_17675 WHERE "Character" = 'Kevin Lucas' | wikisql | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
since 1 year ago, what was the minimum monthly number of patients diagnosed with pressure ulcer,stage nos? | CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
CREATE TABLE chartevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
itemid number,
charttime time,
v... | SELECT MIN(t1.c1) FROM (SELECT COUNT(DISTINCT diagnoses_icd.hadm_id) AS c1 FROM diagnoses_icd WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'pressure ulcer,stage nos') AND DATETIME(diagnoses_icd.charttime) >= DATETIME(CURRENT_TIME(), '-1 year'... | mimic_iii | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
provide me the number of patients with a diagnoses icd9 code 2809 who are younger than 31 years of age. | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob te... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.age < "31" AND diagnoses.icd9_code = "2809" | mimicsql_data | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
How many Total that has a FA Trophy of 0 and a Player of charlie butler? | CREATE TABLE table_name_99 (
total VARCHAR,
fa_trophy VARCHAR,
player VARCHAR
) | SELECT COUNT(total) FROM table_name_99 WHERE fa_trophy = 0 AND player = "charlie butler" | sql_create_context | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
How much is the crowd attending at colonial stadium where Hawthorn plays? | CREATE TABLE table_48035 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Ground" text,
"Crowd" real,
"Date" text
) | SELECT "Crowd" FROM table_48035 WHERE "Ground" = 'colonial stadium' AND "Home team" = 'hawthorn' | wikisql | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What was the away score at VFL Park? | CREATE TABLE table_name_78 (
away_team VARCHAR,
venue VARCHAR
) | SELECT away_team AS score FROM table_name_78 WHERE venue = "vfl park" | sql_create_context | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
when was last time patient 3273 was measured with a greater arterial bp mean than 76.0 on 10/11/last year? | CREATE TABLE admissions (
row_id number,
subject_id number,
hadm_id number,
admittime time,
dischtime time,
admission_type text,
admission_location text,
discharge_location text,
insurance text,
language text,
marital_status text,
ethnicity text,
age number
)
CREATE ... | SELECT chartevents.charttime FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 3273)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial ... | mimic_iii | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
The KTRH.com website includes which type of webcast? | CREATE TABLE table_36235 (
"Frequency" real,
"Callsign" text,
"Brand" text,
"City of License" text,
"Website" text,
"Webcast" text
) | SELECT "Webcast" FROM table_36235 WHERE "Website" = 'ktrh.com' | wikisql | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Is 662 offered in Spring 2019 in the afternoon ? | CREATE TABLE area (
course_id int,
area varchar
)
CREATE TABLE program (
program_id int,
name varchar,
college varchar,
introduction varchar
)
CREATE TABLE course_prerequisite (
pre_course_id int,
course_id int
)
CREATE TABLE course_offering (
offering_id int,
course_id int,
... | SELECT COUNT(*) > 0 FROM course, course_offering, semester WHERE course_offering.start_time >= '12:00:00' AND course.course_id = course_offering.course_id AND course.department = 'EECS' AND course.number = 662 AND semester.semester = 'Spring' AND semester.semester_id = course_offering.semester AND semester.year = 2019 | advising | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What 2011 has 12.7% as the 2010? | CREATE TABLE table_65708 (
"Score" text,
"2007" text,
"2008" text,
"2009" text,
"2010" text,
"2011" text,
"2012" text
) | SELECT "2011" FROM table_65708 WHERE "2010" = '12.7%' | wikisql | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Give me a histogram for what are the names and average salaries for departments with average salary higher than 42000?, and list in ascending by the y axis. | CREATE TABLE classroom (
building varchar(15),
room_number varchar(7),
capacity numeric(4,0)
)
CREATE TABLE advisor (
s_ID varchar(5),
i_ID varchar(5)
)
CREATE TABLE teaches (
ID varchar(5),
course_id varchar(8),
sec_id varchar(8),
semester varchar(6),
year numeric(4,0)
)
CREA... | SELECT dept_name, AVG(salary) FROM instructor GROUP BY dept_name ORDER BY AVG(salary) | nvbench | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
when did patient 030-34260 get the enteral water flushes last time in a day before? | CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate n... | SELECT intakeoutput.intakeoutputtime FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '030-34260')) AND intakeoutput.cellpath LIKE '%intake%... | eicu | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
How much Gain has a Long of 29, and an Avg/G smaller than 33.7? | CREATE TABLE table_name_77 (
gain VARCHAR,
long VARCHAR,
avg_g VARCHAR
) | SELECT COUNT(gain) FROM table_name_77 WHERE long = 29 AND avg_g < 33.7 | sql_create_context | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Who is shown for the 2nd (m) of 220.5? | CREATE TABLE table_19328 (
"Rank" real,
"Name" text,
"Nationality" text,
"1st (m)" text,
"2nd (m)" text,
"Points" text,
"Overall WC points (Rank)" text
) | SELECT "Name" FROM table_19328 WHERE "2nd (m)" = '220.5' | wikisql | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Probability of a closed question to get reopened. NowClosed: the questions closed now. ClosedOnce: questions closed at least once. This query does not see the now deleted questions. | CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE Posts (
Id number,
PostTypeId nu... | SELECT COUNT(ClosedDate) AS NowClosed, COUNT(*) AS ClosedOnce FROM Posts WHERE Id IN (SELECT DISTINCT PostId FROM PostHistory WHERE PostHistoryTypeId = 10) | sede | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
data explorer query to find winner of (proposed) new contest. https://photo.meta.stackexchange.com/questions/5899/sql-help-wanted-data-explorer-query-to-find-winner-of-proposed-new-contest/5900#5900 | CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
... | SELECT p.Id, p.CreationDate, DATEADD(ww, -1, GETDATE()), DATEADD(ww, 0, GETDATE()) FROM Posts AS p INNER JOIN PostTags AS pt ON pt.PostId = p.Id INNER JOIN Tags AS t ON t.Id = pt.TagId WHERE t.TagName = 'lens' | sede | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which country is the player that went to Oregon? | CREATE TABLE table_16835 (
"Player" text,
"No." real,
"Nationality" text,
"Position" text,
"Years for Jazz" text,
"School/Club Team" text
) | SELECT "Nationality" FROM table_16835 WHERE "School/Club Team" = 'Oregon' | wikisql | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
what is the unabbreviated version of the necator americanus? | CREATE TABLE d_items (
row_id number,
itemid number,
label text,
linksto text
)
CREATE TABLE inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
CREATE TABLE labevents (
row_id number,
... | SELECT d_icd_diagnoses.long_title FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'necator americanus' UNION SELECT d_icd_procedures.long_title FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'necator americanus' | mimic_iii | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What's the Cardinalatial Title has the Elevated of December 18, 1182, the Place of birth of Lucca, and the Electo rof Pandolfo? | CREATE TABLE table_name_40 (
cardinalatial_title VARCHAR,
elector VARCHAR,
elevated VARCHAR,
place_of_birth VARCHAR
) | SELECT cardinalatial_title FROM table_name_40 WHERE elevated = "december 18, 1182" AND place_of_birth = "lucca" AND elector = "pandolfo" | sql_create_context | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Name the Tag Team with a Time of 03:34? | CREATE TABLE table_name_10 (
tag_team VARCHAR,
time VARCHAR
) | SELECT tag_team FROM table_name_10 WHERE time = "03:34" | sql_create_context | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
has patient 006-195541 had laboratory tests until 104 months ago? | CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospita... | SELECT COUNT(*) > 0 FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-195541')) AND DATETIME(lab.labresulttime) <= DATETIME(CURRENT_TIME(), '-104 month') | eicu | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Posts tagged with only one selected tag, plus the score and number of answers. Finds posts tagged only with the one tag input below. | CREATE TABLE SuggestedEdits (
Id number,
PostId number,
CreationDate time,
ApprovalDate time,
RejectionDate time,
OwnerUserId number,
Comment text,
Text text,
Title text,
Tags text,
RevisionGUID other
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNot... | SELECT Id AS "post_link", Score, AnswerCount FROM Posts WHERE PostTypeId = 1 AND Tags = '<##Tag##>' AND ClosedDate IS NULL ORDER BY CreationDate DESC | sede | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
get the id of the patients who had been diagnosed with prim central sleep apnea until 2104. | CREATE TABLE icustays (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
first_careunit text,
last_careunit text,
first_wardid number,
last_wardid number,
intime time,
outtime time
)
CREATE TABLE chartevents (
row_id number,
subject_id number,
had... | SELECT 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 = 'prim central sleep apnea') AND STRFTIME('%y', diagnoses_icd.charttime) <= ... | mimic_iii | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is on at 1:30pm before One Life to Live at 2:00pm? | CREATE TABLE table_12244 (
"7:00 am" text,
"8:00 am" text,
"9:00 am" text,
"11:00 am" text,
"noon" text,
"12:30 pm" text,
"1:00 pm" text,
"1:30 pm" text,
"2:00 pm" text,
"3:00 pm" text,
"3:30 pm" text,
"4:00 pm" text,
"4:30 pm" text,
"5:00 pm" text,
"6:30 pm" ... | SELECT "1:30 pm" FROM table_12244 WHERE "2:00 pm" = 'one life to live' | wikisql | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Who is the opponent with a save of ||33,453||36 27? | CREATE TABLE table_name_39 (
opponent VARCHAR,
save VARCHAR
) | SELECT opponent FROM table_name_39 WHERE save = "||33,453||36–27" | sql_create_context | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
how many patients whose insurance is medicare and diagnoses icd9 code is 3019? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic ... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.insurance = "Medicare" AND diagnoses.icd9_code = "3019" | mimicsql_data | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the player that went to st. benedict's prep? | CREATE TABLE table_51427 (
"Player" text,
"Height" text,
"School" text,
"Hometown" text,
"College" text,
"NBA Draft" text
) | SELECT "Player" FROM table_51427 WHERE "School" = 'st. benedict''s prep' | wikisql | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
How many Pick has a Round smaller than 13, and a Position of fullback? | CREATE TABLE table_name_64 (
pick VARCHAR,
round VARCHAR,
position VARCHAR
) | SELECT COUNT(pick) FROM table_name_64 WHERE round < 13 AND position = "fullback" | sql_create_context | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Name the number of regular judge when host is bernie chan | CREATE TABLE table_20451 (
"Country" text,
"Name" text,
"Host" text,
"Channel" text,
"First Premiere" text,
"Regular Judge" text,
"Seasons" real
) | SELECT COUNT("Regular Judge") FROM table_20451 WHERE "Host" = 'Bernie Chan' | wikisql | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the final standing in 1981 82? | CREATE TABLE table_60911 (
"Season" real,
"Years" text,
"Final Standing" real,
"Points" real,
"Top Goal Scorer" text
) | SELECT "Final Standing" FROM table_60911 WHERE "Years" = '1981–82' | wikisql | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the ground of the tim trophy competition, which had a time of 23:00 cet? | CREATE TABLE table_name_83 (
ground VARCHAR,
competition VARCHAR,
time VARCHAR
) | SELECT ground FROM table_name_83 WHERE competition = "tim trophy" AND time = "23:00 cet" | sql_create_context | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What was the pole position for the belgian grand prix? | CREATE TABLE table_52253 (
"Race" text,
"Date" text,
"Location" text,
"Pole Position" text,
"Fastest Lap" text,
"Race Winner" text,
"Constructor" text,
"Report" text
) | SELECT "Pole Position" FROM table_52253 WHERE "Race" = 'belgian grand prix' | wikisql | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
provide the number of patients whose insurance is medicare and diagnoses short title is neutropenia nos? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.insurance = "Medicare" AND diagnoses.short_title = "Neutropenia NOS" | mimicsql_data | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Tell me the time/retired with Laps of 47 and driver of ren arnoux | CREATE TABLE table_55675 (
"Driver" text,
"Constructor" text,
"Laps" real,
"Time/Retired" text,
"Grid" real
) | SELECT "Time/Retired" FROM table_55675 WHERE "Laps" = '47' AND "Driver" = 'rené arnoux' | wikisql | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What resulted after 4 rounds with Ed Mahone? | CREATE TABLE table_31661 (
"Date" text,
"Result" text,
"Opponent" text,
"Method" text,
"Round" real
) | SELECT "Result" FROM table_31661 WHERE "Round" > '4' AND "Opponent" = 'ed mahone' | wikisql | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
when did patient 025-44495 get its first sputum, expectorated microbiology test this month? | CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE microlab (
microlabid ... | SELECT microlab.culturetakentime FROM microlab WHERE microlab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '025-44495')) AND microlab.culturesite = 'sputum, expectorated' AN... | eicu | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
find the number of urgent hospital admission patients before the year 2194. | 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 WHERE demographic.admission_type = "URGENT" AND demographic.admityear < "2194" | mimicsql_data | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
what's the tuesday time with location being millhopper | CREATE TABLE table_16422 (
"Location" text,
"Monday" text,
"Tuesday" text,
"Wednesday" text,
"Thursday" text,
"Friday" text,
"Saturday" text,
"Sunday" text
) | SELECT "Tuesday" FROM table_16422 WHERE "Location" = 'Millhopper' | wikisql | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Bar chart x axis lot details y axis the number of lot details, rank in ascending by the total number. | CREATE TABLE Transactions_Lots (
transaction_id INTEGER,
lot_id INTEGER
)
CREATE TABLE Lots (
lot_id INTEGER,
investor_id INTEGER,
lot_details VARCHAR(255)
)
CREATE TABLE Investors (
investor_id INTEGER,
Investor_details VARCHAR(255)
)
CREATE TABLE Ref_Transaction_Types (
transaction_... | SELECT lot_details, COUNT(lot_details) FROM Lots GROUP BY lot_details ORDER BY COUNT(lot_details) | nvbench | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
what is the difference in points between chris amon and jim clark ? | CREATE TABLE table_204_641 (
id number,
"pos" text,
"no" number,
"driver" text,
"constructor" text,
"laps" number,
"time/retired" text,
"grid" number,
"points" number
) | SELECT ABS((SELECT "points" FROM table_204_641 WHERE "driver" = 'chris amon') - (SELECT "points" FROM table_204_641 WHERE "driver" = 'jim clark')) | squall | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
How many patients discharge location is snf and were diagnosed with the primary disease upper gi bleed? | 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,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.discharge_location = "SNF" AND demographic.diagnosis = "UPPER GI BLEED" | mimicsql_data | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which tags had the most bounties offered in past 30 days?. | CREATE TABLE PostTypes (
Id number,
Name text
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
Rejecti... | SELECT COUNT(*) AS Bounty_Num, SUM(Votes.BountyAmount) AS Bounty_Amt, Tags.TagName FROM Tags INNER JOIN PostTags ON PostTags.TagId = Tags.Id INNER JOIN Posts ON Posts.Id = PostTags.PostId AND Posts.PostTypeId = 1 AND Posts.CreationDate >= DATEADD(day, -30, GETDATE()) AND Posts.CreationDate <= GETDATE() INNER JOIN Votes... | sede | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
With a date of 8/3/08, what was the length of the victory margin? | CREATE TABLE table_1500 (
"Finish" text,
"Race" text,
"Distance" text,
"Jockey" text,
"Time" text,
"Victory Margin (in lengths)" text,
"Runner up" text,
"Track" text,
"Surface" text,
"Date" text
) | SELECT COUNT("Victory Margin (in lengths)") FROM table_1500 WHERE "Date" = '8/3/08' | wikisql | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the earliest year with a mp4-17d chassis and less than 142 points. | CREATE TABLE table_name_60 (
year INTEGER,
chassis VARCHAR,
points VARCHAR
) | SELECT MIN(year) FROM table_name_60 WHERE chassis = "mp4-17d" AND points < 142 | sql_create_context | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which Regular Season Champion(s) has a Record of 9 0, and a Tournament Champion of north carolina? | CREATE TABLE table_name_16 (
regular_season_champion_s_ VARCHAR,
record VARCHAR,
tournament_champion VARCHAR
) | SELECT regular_season_champion_s_ FROM table_name_16 WHERE record = "9–0" AND tournament_champion = "north carolina" | sql_create_context | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
How many tickets were sold/available when the gross revenue (2011) was $366,916? | CREATE TABLE table_name_44 (
tickets_sold___available VARCHAR,
gross_revenue__2011_ VARCHAR
) | SELECT tickets_sold___available FROM table_name_44 WHERE gross_revenue__2011_ = "$366,916" | sql_create_context | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
what place has score 66-74-68-73=281 | CREATE TABLE table_name_74 (
place VARCHAR,
score VARCHAR
) | SELECT place FROM table_name_74 WHERE score = 66 - 74 - 68 - 73 = 281 | sql_create_context | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
For those records from the products and each product's manufacturer, show me about the distribution of name and the sum of revenue , and group by attribute name in a bar chart, I want to list by the Name in ascending please. | CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255),
Price DECIMAL,
Manufacturer INTEGER
)
CREATE TABLE Manufacturers (
Code INTEGER,
Name VARCHAR(255),
Headquarter VARCHAR(255),
Founder VARCHAR(255),
Revenue REAL
) | SELECT T2.Name, T2.Revenue FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Name ORDER BY T2.Name | nvbench | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the home team score where the home team is Fremantle? | CREATE TABLE table_16388478_4 (
home_team VARCHAR
) | SELECT home_team AS score FROM table_16388478_4 WHERE home_team = "Fremantle" | sql_create_context | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
what was the top five most frequent diagnoses that patients were given after receiving antihyperlipidemic agent - hmg-coa reductase inhibitor in the same month since 2105? | CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE medication (
medicatio... | SELECT t3.diagnosisname FROM (SELECT t2.diagnosisname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, treatment.treatmenttime FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE treatment.treatmentname = 'antihyperlipidemic agent - hmg-coa reduc... | eicu | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which is the acquisition via that has a school or club team of state? | CREATE TABLE table_name_82 (
acquisition_via VARCHAR,
school_club_team VARCHAR
) | SELECT acquisition_via FROM table_name_82 WHERE school_club_team = "state" | sql_create_context | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the Rank for Viktors Dobrecovs with less than 325 Matches? | CREATE TABLE table_40981 (
"Rank" real,
"Name" text,
"Years" text,
"Matches" real,
"Goals" real
) | SELECT AVG("Rank") FROM table_40981 WHERE "Name" = 'viktors dobrecovs' AND "Matches" < '325' | wikisql | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
The 200 -level classes , are they available in Spring or Summer terms ? | CREATE TABLE ta (
campus_job_id int,
student_id int,
location varchar
)
CREATE TABLE gsi (
course_offering_id int,
student_id int
)
CREATE TABLE student (
student_id int,
lastname varchar,
firstname varchar,
program_id int,
declare_major varchar,
total_credit int,
total... | SELECT DISTINCT course.department, course.name, course.number, semester.semester FROM course, course_offering, semester WHERE course.course_id = course_offering.course_id AND course.department = 'department0' AND course.number BETWEEN 200 AND 200 + 100 AND semester.semester IN ('SP', 'SU', 'SS') AND semester.semester_i... | advising | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the Term Start date of the Progressive Party Prime Minister? | CREATE TABLE table_47383 (
"Name" text,
"Born-Died" text,
"Term start" text,
"Term end" text,
"Political Party" text
) | SELECT "Term start" FROM table_47383 WHERE "Political Party" = 'progressive party' | wikisql | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Find suggested duplicates that haven't led to question closure in a tag. Locate old dupe suggestions where the flag has timed out | CREATE TABLE Posts (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text... | SELECT p.Id AS "post_link", p.CreationDate FROM Comments AS c JOIN Posts AS p ON c.PostId = p.Id JOIN PostTags AS pt ON pt.PostId = p.Id JOIN Tags AS t ON t.Id = pt.TagId WHERE c.Text LIKE '%possible duplicate%' AND p.ClosedDate IS NULL AND p.PostTypeId = 1 AND t.TagName = @Tag ORDER BY p.Id | sede | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What percentage of users were using mobile browsers during the period in which 9.00% were using Chrome? | CREATE TABLE table_66073 (
"Period" text,
"Internet Explorer" text,
"Firefox" text,
"Chrome" text,
"Safari" text,
"Opera" text,
"Other Mozilla" text,
"Mobile" text
) | SELECT "Mobile" FROM table_66073 WHERE "Chrome" = '9.00%' | wikisql | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Who was the opponent with the time 3:59? | CREATE TABLE table_66747 (
"Date" text,
"Opponent" text,
"Score" text,
"Loss" text,
"Time" text,
"Att." real,
"Record" text
) | SELECT "Opponent" FROM table_66747 WHERE "Time" = '3:59' | wikisql | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
When Brett Lancaster won the general classification, who won the team calssification? | CREATE TABLE table_73724 (
"Stage" real,
"Winner" text,
"General Classification" text,
"Youth Classification" text,
"Mountains Classification" text,
"Sprint Classification" text,
"Most Courageous" text,
"Team Classification" text
) | SELECT "Team Classification" FROM table_73724 WHERE "General Classification" = 'Brett Lancaster' | wikisql | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
How many patients aged below 79 years have lab test fluid as urine? | 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.age < "79" AND lab.fluid = "Urine" | mimicsql_data | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the year of the winner from the army school, plays the halfback position, and has a % of points possible of 39.01%? | CREATE TABLE table_42497 (
"Year" real,
"Winner" text,
"School" text,
"Position" text,
"Points" text,
"% of Points Possible" text
) | SELECT SUM("Year") FROM table_42497 WHERE "School" = 'army' AND "Position" = 'halfback' AND "% of Points Possible" = '39.01%' | wikisql | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which romaji title, has Japanese title of 3? | CREATE TABLE table_name_94 (
romaji_title VARCHAR,
japanese_title VARCHAR
) | SELECT romaji_title FROM table_name_94 WHERE japanese_title = "菊次郎とさき 3" | sql_create_context | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which artist was 2003? | CREATE TABLE table_49456 (
"Year" real,
"Album" text,
"Artist" text,
"Song" text,
"Note" text
) | SELECT "Artist" FROM table_49456 WHERE "Year" = '2003' | wikisql | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the language for a journal that has a frequency of 3 times per year and has an ISSN number of 1136-7385? | CREATE TABLE table_36337 (
"ISSN" text,
"Language" text,
"Country" text,
"Frequency" text,
"Publication range" text,
"Status" text,
"Document Type" text
) | SELECT "Language" FROM table_36337 WHERE "Frequency" = '3 times per year' AND "ISSN" = '1136-7385' | wikisql | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
what is the tournament on august 17, 2008? | CREATE TABLE table_name_14 (
tournament VARCHAR,
date VARCHAR
) | SELECT tournament FROM table_name_14 WHERE date = "august 17, 2008" | sql_create_context | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Questions with answers more than 5. | CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE PostHistory (
Id number,
PostHistoryTypeId number,
PostId number,
RevisionGUID other,
CreationDate time,
U... | SELECT Q.Id AS QId, Q.Title AS QTitle, Q.Body AS QBody, G.Id AS GId, G.Body AS GBody, Q.Score AS QScore, G.Score AS GScore, Q.ViewCount AS QViewCount, G.ViewCount AS GViewCount, Q.Tags AS QTags, G.Title AS GTitle FROM Posts AS G, (SELECT * FROM Posts WHERE ParentId IS NULL AND AnswerCount >= 5) AS Q WHERE G.ParentId = ... | sede | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What was the winner share (in $) in the year when Se Ri Pak (2) was the champion? | CREATE TABLE table_25549 (
"Year" real,
"Dates" text,
"Champion" text,
"Country" text,
"Score" text,
"Margin of victory" text,
"Tournament location" text,
"Purse ( $ )" real,
"Winners share ($)" real
) | SELECT MIN("Winners share ($)") FROM table_25549 WHERE "Champion" = 'Se Ri Pak (2)' | wikisql | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the call sign of the MHz Frequency less than 94.9 and an ERP W of 170? | CREATE TABLE table_name_35 (
call_sign VARCHAR,
frequency_mhz VARCHAR,
erp_w VARCHAR
) | SELECT call_sign FROM table_name_35 WHERE frequency_mhz < 94.9 AND erp_w = 170 | sql_create_context | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
How did michelle do in archery? | CREATE TABLE table_name_39 (
michelle INTEGER,
discipline VARCHAR
) | SELECT AVG(michelle) FROM table_name_39 WHERE discipline = "archery" | sql_create_context | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
what is the number of pieces where the person is charley hoffman | CREATE TABLE table_28498999_6 (
reset_points VARCHAR,
player VARCHAR
) | SELECT COUNT(reset_points) FROM table_28498999_6 WHERE player = "Charley Hoffman" | sql_create_context | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
did patient 027-85328 excreted any output (ml)-urethral catheter diana acuna, rn latex;straight-tip 14 fr. since 09/2105? | CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime t... | SELECT COUNT(*) > 0 FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '027-85328')) AND intakeoutput.cellpath LIKE '%output%' AND intakeoutpu... | eicu | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
when was patient 018-20179 first admitted to the hospital through the operating room since 1 year ago? | CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE vitalperiodic (
vitalperio... | SELECT patient.hospitaladmittime FROM patient WHERE patient.uniquepid = '018-20179' AND patient.hospitaladmitsource = 'operating room' AND DATETIME(patient.hospitaladmittime) >= DATETIME(CURRENT_TIME(), '-1 year') ORDER BY patient.hospitaladmittime LIMIT 1 | eicu | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
When the finish was t31 what was the To par? | CREATE TABLE table_name_28 (
to_par VARCHAR,
finish VARCHAR
) | SELECT to_par FROM table_name_28 WHERE finish = "t31" | sql_create_context | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
how many gold and silver medals in total did china receive ? | CREATE TABLE table_204_775 (
id number,
"rank" number,
"nation" text,
"gold" number,
"silver" number,
"bronze" number,
"total" number
) | SELECT "gold" + "silver" FROM table_204_775 WHERE "nation" = 'china' | squall | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which tests have 'Pass' results? Return the dates when the tests were taken, and count them by a line chart, and I want to display by the X-axis in asc. | CREATE TABLE Courses (
course_id INTEGER,
author_id INTEGER,
subject_id INTEGER,
course_name VARCHAR(120),
course_description VARCHAR(255)
)
CREATE TABLE Student_Course_Enrolment (
registration_id INTEGER,
student_id INTEGER,
course_id INTEGER,
date_of_enrolment DATETIME,
date_o... | SELECT date_test_taken, COUNT(date_test_taken) FROM Student_Tests_Taken WHERE test_result = "Pass" ORDER BY date_test_taken | nvbench | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
128000,
128006,
9125,
128007,
271,
38766,
1303,
33025,
2696,
25,
6790,
220,
2366,
18,
198,
15724,
2696,
25,
220,
1721,
4723,
220,
2366,
20,
271,
2675,
527,
264,
7941,
1887,
28175,
304,
... | [
[
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.