instruction stringlengths 151 7.46k | output stringlengths 2 4.44k | source stringclasses 26
values |
|---|---|---|
CREATE TABLE table_38543 (
"Island's Name" text,
"Area (sq mi)" real,
"Area (km 2 )" real,
"Location" text,
"Population (2000)" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the area located in Rhode Island with more than 38 sq mi area?
| SELECT AVG("Area (km 2 )") FROM table_38543 WHERE "Location" = 'rhode island' AND "Area (sq mi)" > '38' | wikisql |
CREATE TABLE hz_info_zyjzjlb (
JZLSH number,
YLJGDM number,
zyjzjlb_id number
)
CREATE TABLE jyjgzbb (
BGDH text,
BGRQ time,
CKZFWDX text,
CKZFWSX number,
CKZFWXX number,
JCFF text,
JCRGH text,
JCRXM text,
JCXMMC text,
JCZBDM text,
JCZBJGDL number,
JCZBJGDW t... | SELECT jybgb.BGDH FROM hz_info JOIN mzjzjlb JOIN jybgb ON hz_info.YLJGDM = mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX AND mzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND mzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB WHERE hz_info.RYBH = '03485032' AND NOT jybgb.BGDH IN (SELECT jyjgzbb.BGDH FROM jyjgzbb WH... | css |
CREATE TABLE table_8016 (
"Game" real,
"Date" text,
"Team" text,
"Score" text,
"High points" text,
"High rebounds" text,
"High assists" text,
"Location Attendance" text,
"Series" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who had... | SELECT "High points" FROM table_8016 WHERE "Series" = '4-2' | wikisql |
CREATE TABLE table_204_756 (
id number,
"year" number,
"team" text,
"games" number,
"combined tackles" number,
"tackles" number,
"assisted tackles" number,
"sacks" number,
"forced fumbles" number,
"fumble recoveries" number,
"fumble return yards" number,
"interceptions" n... | SELECT SUM("sacks") FROM table_204_756 | squall |
CREATE TABLE table_name_88 (
class_from_1928 VARCHAR,
class_to_1928 VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which class from 1928 had a class to 1928 of BDi-21?
| SELECT class_from_1928 FROM table_name_88 WHERE class_to_1928 = "bdi-21" | sql_create_context |
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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.days_stay > "9" AND prescriptions.drug = "Ibuprofen Suspension" | mimicsql_data |
CREATE TABLE table_name_94 (
player VARCHAR,
score INTEGER
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What player has a score larger than 67?
| SELECT player FROM table_name_94 WHERE score > 67 | sql_create_context |
CREATE TABLE table_name_28 (
played INTEGER,
points VARCHAR,
position VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Played has a Points of 2, and a Position smaller than 8?
| SELECT AVG(played) FROM table_name_28 WHERE points = 2 AND position < 8 | sql_create_context |
CREATE TABLE table_name_87 (
country VARCHAR,
content VARCHAR,
television_service VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the Country when the Content was general television, and a Television service of rai 1?
| SELECT country FROM table_name_87 WHERE content = "general television" AND television_service = "rai 1" | sql_create_context |
CREATE TABLE manufacturers (
revenue INTEGER
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What are the average, maximum and total revenues of all companies?
| SELECT AVG(revenue), MAX(revenue), SUM(revenue) FROM manufacturers | sql_create_context |
CREATE TABLE table_31253 (
"Rank by average" real,
"Place" real,
"Couple" text,
"Total points" text,
"Number of dances" real,
"Average" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many times is the couple kerry & daniel?
| SELECT COUNT("Place") FROM table_31253 WHERE "Couple" = 'Kerry & Daniel' | wikisql |
CREATE TABLE table_name_6 (
att INTEGER,
date VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the attendance on June 27?
| SELECT MIN(att) FROM table_name_6 WHERE date = "june 27" | sql_create_context |
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code tex... | SELECT lab.labname FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '022-142620')) AND STRFTIME('%y-%m', lab.labresulttime) <= '2105-11' ORDER BY lab.labresul... | eicu |
CREATE TABLE table_37339 (
"Track" text,
"City" text,
"State" text,
"Opened" text,
"Major Series" text,
"Turns" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What shows for opened for the Nascar Major Series?
| SELECT "Opened" FROM table_37339 WHERE "Major Series" = 'nascar' | wikisql |
CREATE TABLE airline (
airline_code varchar,
airline_name text,
note text
)
CREATE TABLE flight_fare (
flight_id int,
fare_id int
)
CREATE TABLE class_of_service (
booking_class varchar,
rank int,
class_description text
)
CREATE TABLE fare (
fare_id int,
from_airport varchar,
... | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE (CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'ATLANTA' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DALLA... | atis |
CREATE TABLE table_16441561_5 (
pick__number INTEGER,
position VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who was the lowest picked LB
| SELECT MIN(pick__number) FROM table_16441561_5 WHERE position = "LB" | sql_create_context |
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.gender = "F" AND prescriptions.formulary_drug_cd = "ADVA250IH" | mimicsql_data |
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE lab.label = "CD3 Cells, Percent" | mimicsql_data |
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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.expire_flag = "1" AND prescriptions.drug = "Metolazone" | mimicsql_data |
CREATE TABLE table_70697 (
"Name" text,
"Years" text,
"Gender" text,
"Area" text,
"Authority" text,
"Decile" real,
"Roll" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What School is in the kio kio area?
| SELECT "Name" FROM table_70697 WHERE "Area" = 'kio kio' | wikisql |
CREATE TABLE TagSynonyms (
Id number,
SourceTagName text,
TargetTagName text,
CreationDate time,
OwnerUserId number,
AutoRenameCount number,
LastAutoRename time,
Score number,
ApprovedByUserId number,
ApprovalDate time
)
CREATE TABLE PostHistory (
Id number,
PostHistoryT... | SELECT p.Id AS post_id, COUNT(c.Id) AS comments_count FROM Posts AS p JOIN Comments AS c ON p.Id = c.PostId GROUP BY p.Id ORDER BY 2 DESC LIMIT 1 | sede |
CREATE TABLE time_zone (
time_zone_code text,
time_zone_name text,
hours_from_gmt int
)
CREATE TABLE date_day (
month_number int,
day_number int,
year int,
day_name varchar
)
CREATE TABLE state (
state_code text,
state_name text,
country_name text
)
CREATE TABLE airport (
... | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DALLAS FORT WORTH' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name... | atis |
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
)
-- Using valid SQLite, answer the following questions for the... | SELECT Founder, SUM(Price) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Founder ORDER BY Founder | nvbench |
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id t... | SELECT prescriptions.drug_type FROM prescriptions WHERE prescriptions.drug = "Olanzapine (Disintegrating Tablet)" | mimicsql_data |
CREATE TABLE table_41283 (
"Season" text,
"Skip" text,
"Third" text,
"Second" text,
"Lead" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the Season when the Lead was don bartlett, and the third was don walchuk, and a Second of carter rycrof... | SELECT "Season" FROM table_41283 WHERE "Lead" = 'don bartlett' AND "Third" = 'don walchuk' AND "Second" = 'carter rycroft' | wikisql |
CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId nu... | SELECT u.DisplayName, SUM(p.Score) AS total_score FROM Posts AS p JOIN Posts AS q ON q.Id = p.ParentId AND q.Tags LIKE '%<##tag##>%' JOIN Users AS u ON u.Id = p.OwnerUserId GROUP BY u.DisplayName HAVING SUM(p.Score) > 1000 ORDER BY SUM(p.Score) DESC | sede |
CREATE TABLE table_name_90 (
publication_date VARCHAR,
person_s_ VARCHAR,
reported_price VARCHAR,
publisher_s_ VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the publication date of the photos of Sean Preston Federline that cost $500,000 and... | SELECT publication_date FROM table_name_90 WHERE reported_price = "$500,000" AND publisher_s_ = "people" AND person_s_ = "sean preston federline" | sql_create_context |
CREATE TABLE table_name_37 (
car INTEGER,
yards INTEGER
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the lowest car with more than 122 yards?
| SELECT MIN(car) FROM table_name_37 WHERE yards > 122 | sql_create_context |
CREATE TABLE table_78743 (
"Name" text,
"Bodyweight" real,
"Snatch" real,
"Clean & Jerk" real,
"Total (kg)" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Total (kg) has a Clean & Jerk smaller than 153, and a Snatch smaller than 100?
| SELECT MIN("Total (kg)") FROM table_78743 WHERE "Clean & Jerk" < '153' AND "Snatch" < '100' | wikisql |
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostTypes (
Id number,
Name text
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE SuggestedEdits (
Id number,
PostId number,
CreationDate time,
ApprovalDate time,
... | SELECT (SELECT COUNT(Posts.Id) FROM Posts INNER JOIN Posts AS Ans ON Ans.Id = Posts.AcceptedAnswerId WHERE DATEDIFF_BIG(minute, Posts.CreationDate, Ans.CreationDate) < 30), (SELECT COUNT(Posts.Id) FROM Posts INNER JOIN Posts AS Ans ON Ans.Id = Posts.AcceptedAnswerId WHERE DATEDIFF_BIG(minute, Posts.CreationDate, Ans.Cr... | sede |
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.admission_location = "CLINIC REFERRAL/PREMATURE" AND demographic.admityear < "2114" | mimicsql_data |
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
... | SELECT PHONE_NUMBER, SALARY FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY PHONE_NUMBER | nvbench |
CREATE TABLE table_20282 (
"Name" text,
"Overs Bowled" text,
"Maidens" real,
"Runs Conceded" real,
"Wickets" real,
"Extras" real,
"E.R." text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the ER average for the player that conceded 368 ... | SELECT "E.R." FROM table_20282 WHERE "Runs Conceded" = '368' | wikisql |
CREATE TABLE table_name_28 (
reg_gp INTEGER,
player VARCHAR,
pick__number VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the sum of every REG GP that Peter Andersson played as a pick# less than 143?
| SELECT SUM(reg_gp) FROM table_name_28 WHERE player = "peter andersson" AND pick__number < 143 | sql_create_context |
CREATE TABLE t_kc21 (
CLINIC_ID text,
CLINIC_TYPE text,
COMP_ID text,
DATA_ID text,
DIFF_PLACE_FLG number,
FERTILITY_STS number,
FLX_MED_ORG_ID text,
HOSP_LEV number,
HOSP_STS number,
IDENTITY_CARD text,
INPT_AREA_BED text,
INSURED_IDENTITY number,
INSURED_STS text,
... | SELECT t_kc22.HOSP_DOC_CD, t_kc22.HOSP_DOC_NM FROM t_kc22 JOIN t_kc21_t_kc22 JOIN t_kc21 ON t_kc21_t_kc22.MED_EXP_DET_ID = t_kc22.MED_EXP_DET_ID AND t_kc21_t_kc22.MED_CLINIC_ID = t_kc21.MED_CLINIC_ID WHERE t_kc21.MED_CLINIC_ID = '43987098526' | css |
CREATE TABLE table_name_69 (
points INTEGER,
difference VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the largest points number where the difference is 12?
| SELECT MAX(points) FROM table_name_69 WHERE difference = "12" | sql_create_context |
CREATE TABLE table_44709 (
"Name" text,
"Team" text,
"Qual 1" text,
"Qual 2" text,
"Best" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which team had a second qualifying time of 58.539?
| SELECT "Team" FROM table_44709 WHERE "Qual 2" = '58.539' | wikisql |
CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM... | SELECT jyjgzbb.JCZBJGDL, jyjgzbb.JCZBJGDW FROM hz_info JOIN mzjzjlb JOIN jyjgzbb ON hz_info.YLJGDM = mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX AND mzjzjlb.YLJGDM = jyjgzbb.jybgb_YLJGDM_MZJZJLB AND mzjzjlb.JZLSH = jyjgzbb.jybgb_JZLSH_MZJZJLB WHERE mzjzjlb.JZZDSM = '由于使用阿片类药引起的精神病性障碍' AND h... | css |
CREATE TABLE table_78498 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the average crowd attendance for Colling... | SELECT AVG("Crowd") FROM table_78498 WHERE "Home team" = 'collingwood' | wikisql |
CREATE TABLE table_name_28 (
tournament VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What did the Tournament of Australian Championships, with an A in 1969, get in 1954?
| SELECT 1954 FROM table_name_28 WHERE 1969 = "a" AND tournament = "australian championships" | sql_create_context |
CREATE TABLE table_51401 (
"Year" text,
"Start" text,
"Qual" text,
"Rank" text,
"Finish" text,
"Laps" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What's the lowest amount of laps with a start of 21?
| SELECT MIN("Laps") FROM table_51401 WHERE "Start" = '21' | wikisql |
CREATE TABLE table_32811 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was Melbourne's score as the home team?
| SELECT "Home team score" FROM table_32811 WHERE "Home team" = 'melbourne' | wikisql |
CREATE TABLE table_33751 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many games is collingwood the home side?
| SELECT COUNT("Crowd") FROM table_33751 WHERE "Home team" = 'collingwood' | wikisql |
CREATE TABLE table_55726 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- If the Home team was north melbourne and the Cro... | SELECT "Home team score" FROM table_55726 WHERE "Crowd" > '10,000' AND "Home team" = 'north melbourne' | wikisql |
CREATE TABLE table_23449363_1 (
leagues_entering_at_this_round VARCHAR,
winners_from_previous_round VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which leagues entered in rounds where there were 16 winners from the previous round?
| SELECT leagues_entering_at_this_round FROM table_23449363_1 WHERE winners_from_previous_round = "16" | sql_create_context |
CREATE TABLE table_name_71 (
year_s__won VARCHAR,
total VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Year(s) won has a Total of 289?
| SELECT year_s__won FROM table_name_71 WHERE total = 289 | sql_create_context |
CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE CloseAsOffTopicReasonTypes (
Id number,
IsUniversa... | SELECT Id AS "user_link", Location, Reputation FROM Users WHERE UPPER(LEFT(Location, 5)) = 'INDIA' AND Reputation >= '##minimumReputation##' ORDER BY Location | sede |
CREATE TABLE table_name_79 (
lost INTEGER,
name VARCHAR,
played VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Lost is the lowest one that has a Name of esc holzkirchen, and Played smaller than 14?
| SELECT MIN(lost) FROM table_name_79 WHERE name = "esc holzkirchen" AND played < 14 | sql_create_context |
CREATE TABLE table_name_87 (
japanese_voice_actor VARCHAR,
battle_of_the_planets VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who is the Japanese voice actor of the Battle of the Planets of Keyop?
| SELECT japanese_voice_actor FROM table_name_87 WHERE battle_of_the_planets = "keyop" | sql_create_context |
CREATE TABLE table_name_64 (
finish VARCHAR,
record VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the finish for a 39-31 record
| SELECT finish FROM table_name_64 WHERE record = "39-31" | sql_create_context |
CREATE TABLE hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
CREATE TABLE jyjgzbb (
BGDH text,
BGRQ time,
CKZFWDX text,
CKZFWSX number,
CKZFWXX number,
JCFF text,
JCRGH text,
JCRXM text,
JCXMMC text,
JCZBDM text,
JCZBJGDL number,
JCZBJGDW text,
... | SELECT AVG(jyjgzbb.JCZBJGDL), MIN(jyjgzbb.JCZBJGDL), MAX(jyjgzbb.JCZBJGDL) FROM wdmzjzjlb JOIN jybgb JOIN jyjgzbb ON wdmzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND wdmzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH WHERE wdmzjzjlb.JZZDSM = '慢性胃溃疡' AND jyjgzbb.JCZBMC = '抗环... | css |
CREATE TABLE Asset_Parts (
asset_id INTEGER,
part_id INTEGER
)
CREATE TABLE Parts (
part_id INTEGER,
part_name VARCHAR(255),
chargeable_yn VARCHAR(1),
chargeable_amount VARCHAR(20),
other_part_details VARCHAR(255)
)
CREATE TABLE Maintenance_Engineers (
engineer_id INTEGER,
company_... | SELECT skill_description, COUNT(skill_description) FROM Part_Faults AS T1 JOIN Skills_Required_To_Fix AS T2 ON T1.part_fault_id = T2.part_fault_id JOIN Skills AS T3 ON T2.skill_id = T3.skill_id GROUP BY fault_short_name, skill_description ORDER BY skill_description DESC | nvbench |
CREATE TABLE table_18629 (
"District" text,
"Incumbent" text,
"Party" text,
"First elected" real,
"Result" text,
"Candidates" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What district is incumbent robert l. mouton from?
| SELECT "District" FROM table_18629 WHERE "Incumbent" = 'Robert L. Mouton' | wikisql |
CREATE TABLE table_23292220_17 (
jons_team VARCHAR,
episode VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the number of jons team for 15x10
| SELECT COUNT(jons_team) FROM table_23292220_17 WHERE episode = "15x10" | sql_create_context |
CREATE TABLE restriction (
restriction_code text,
advance_purchase int,
stopovers text,
saturday_stay_required text,
minimum_stay int,
maximum_stay int,
application text,
no_discounts text
)
CREATE TABLE state (
state_code text,
state_name text,
country_name text
)
CREATE T... | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, days, flight WHERE (((days.day_name = 'TUESDAY' AND flight.flight_days = days.days_code AND flight.flight_number = 281) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND... | atis |
CREATE TABLE table_44704 (
"Date" text,
"Home team" text,
"Score" text,
"Away team" text,
"Venue" text,
"Box Score" text,
"Report" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What away team scored 107-104?
| SELECT "Away team" FROM table_44704 WHERE "Score" = '107-104' | wikisql |
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
C... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE procedures.long_title = "Drug detoxification" | mimicsql_data |
CREATE TABLE class_of_service (
booking_class varchar,
rank int,
class_description text
)
CREATE TABLE aircraft (
aircraft_code varchar,
aircraft_description varchar,
manufacturer varchar,
basic_type varchar,
engines int,
propulsion varchar,
wide_body varchar,
wing_span int,... | SELECT DISTINCT fare.fare_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, flight, flight_fare WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'SAN FRANCISCO' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_... | atis |
CREATE TABLE table_204_282 (
id number,
"date" text,
"venue" text,
"opponent" text,
"score" text,
"result" text,
"competition" text,
"#" number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- where was the last game of the season held ?
| SELECT "venue" FROM table_204_282 ORDER BY "date" DESC LIMIT 1 | squall |
CREATE TABLE table_1982739_2 (
pinyin VARCHAR,
english_name VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the Pinyin name for Dingyuan County?
| SELECT pinyin FROM table_1982739_2 WHERE english_name = "Dingyuan County" | sql_create_context |
CREATE TABLE table_61053 (
"Phoen. value" text,
"Phoen. name" text,
"Hebrew" text,
"Greek" text,
"Latin" text,
"Cyrillic" text,
"Arabic" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the Latin term for the Greek symbol ?
| SELECT "Latin" FROM table_61053 WHERE "Greek" = 'μ' | wikisql |
CREATE TABLE table_56554 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Crowd has a Home team score of 15.20 (110)... | SELECT MIN("Crowd") FROM table_56554 WHERE "Home team score" = '15.20 (110)' AND "Home team" = 'carlton' | wikisql |
CREATE TABLE requirement (
requirement_id int,
requirement varchar,
college varchar
)
CREATE TABLE student (
student_id int,
lastname varchar,
firstname varchar,
program_id int,
declare_major varchar,
total_credit int,
total_gpa float,
entered_as varchar,
admit_term int,... | SELECT DISTINCT course.name, course.number, program_course.workload FROM course, program_course WHERE course.department = 'EECS' AND course.number BETWEEN 300 AND 300 + 100 AND program_course.course_id = course.course_id AND program_course.workload < 3 ORDER BY program_course.workload | advising |
CREATE TABLE d_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value number
)
CREATE TABLE d_icd_diagnoses (
... | SELECT DISTINCT prescriptions.route FROM prescriptions WHERE prescriptions.drug = 'heparin flush crrt (5000 units/ml)' | mimic_iii |
CREATE TABLE mzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH text,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
KH text,
KLX number,
MJZH text,
ML number,
MZZYZDZZBM text,
MZZYZDZZMC ... | SELECT AVG(jyjgzbb.JCZBJGDL), MIN(jyjgzbb.JCZBJGDL), MAX(jyjgzbb.JCZBJGDL) FROM mzjzjlb JOIN jybgb JOIN jyjgzbb JOIN hz_info_mzjzjlb ON hz_info_mzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND mzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH AND hz_info_mzjzjlb.JZLSH = mzjzjl... | css |
CREATE TABLE table_30120619_1 (
townland VARCHAR,
civil_parish VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- In which townlands is the civil parish Monkstown?
| SELECT townland FROM table_30120619_1 WHERE civil_parish = "Monkstown" | sql_create_context |
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.insurance = "Self Pay" AND demographic.days_stay > "27" | mimicsql_data |
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_type = "ELECTIVE" AND procedures.short_title = "Ureteral catheterization" | mimicsql_data |
CREATE TABLE table_7628 (
"Rank" real,
"Name" text,
"Team" text,
"Games" real,
"Points" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the lowest number of games with a rank less than 1?
| SELECT MIN("Games") FROM table_7628 WHERE "Rank" < '1' | wikisql |
CREATE TABLE event (
ID int,
Name text,
Stadium_ID int,
Year text
)
CREATE TABLE stadium (
ID int,
name text,
Capacity int,
City text,
Country text,
Opening_year int
)
CREATE TABLE record (
ID int,
Result text,
Swimmer_ID int,
Event_ID int
)
CREATE TABLE swimme... | SELECT Nationality, COUNT(Nationality) FROM swimmer GROUP BY Nationality ORDER BY COUNT(Nationality) DESC | nvbench |
CREATE TABLE table_name_64 (
fcc_info VARCHAR,
frequency_mhz VARCHAR,
call_sign VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the FCC info of the w214ba call sign with a frequency below 96.3?
| SELECT fcc_info FROM table_name_64 WHERE frequency_mhz < 96.3 AND call_sign = "w214ba" | sql_create_context |
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 demographic.dob, demographic.expire_flag FROM demographic WHERE demographic.name = "Dominga Garvin" | mimicsql_data |
CREATE TABLE patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
CREATE TABLE prescriptions (
row_id number,
subject_id number,
hadm_id number,
startdate time,
enddate time,
drug text,
dose_val_rx text,
dose_unit_rx text,
route text
)
... | SELECT AVG(labevents.valuenum) FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 58932) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'rdw') | mimic_iii |
CREATE TABLE Manufacturers (
Code INTEGER,
Name VARCHAR(255),
Headquarter VARCHAR(255),
Founder VARCHAR(255),
Revenue REAL
)
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255),
Price DECIMAL,
Manufacturer INTEGER
)
-- Using valid SQLite, answer the following questions for the... | SELECT Code, Manufacturer FROM Products WHERE Price BETWEEN 60 AND 120 | nvbench |
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id... | SELECT MAX(demographic.age) FROM demographic WHERE demographic.marital_status = "WIDOWED" AND demographic.insurance = "Medicare" | mimicsql_data |
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND diagnoses.long_title = "Major depressive affective disorder, recurrent episode, severe, specified as with psychotic behavior" | mimicsql_data |
CREATE TABLE table_203_43 (
id number,
"polling firm" text,
"month" text,
"link" text,
"favor" number,
"oppose" number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- which was the only polling firm to show more than 50 percent in favor of same sex ma... | SELECT "polling firm" FROM table_203_43 WHERE "favor" > 50 AND "month" = 2006 | squall |
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.icd9_code = "78820" AND lab.flag = "delta" | mimicsql_data |
CREATE TABLE table_54659 (
"Name" text,
"Scotland career" text,
"Caps" real,
"Goals" real,
"Average" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the goal top with caps of 38 and an average less than 0.579?
| SELECT MAX("Goals") FROM table_54659 WHERE "Caps" = '38' AND "Average" < '0.579' | wikisql |
CREATE TABLE table_29142 (
"Team" text,
"Outgoing manager" text,
"Manner of departure" text,
"Date of vacancy" text,
"Incoming manager" text,
"Date of appointment" text,
"Position in Table" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What... | SELECT "Team" FROM table_29142 WHERE "Date of appointment" = '23 March 2011' | wikisql |
CREATE TABLE table_name_4 (
team_2 VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the 2nd leg where the team 2 was budoni (sardinia)?
| SELECT 2 AS nd_leg FROM table_name_4 WHERE team_2 = "budoni (sardinia)" | sql_create_context |
CREATE TABLE t_kc24 (
ACCOUNT_DASH_DATE time,
ACCOUNT_DASH_FLG number,
CASH_PAY number,
CIVIL_SUBSIDY number,
CKC102 number,
CLINIC_ID text,
CLINIC_SLT_DATE time,
COMP_ID text,
COM_ACC_PAY number,
COM_PAY number,
DATA_ID text,
ENT_ACC_PAY number,
ENT_PAY number,
F... | SELECT MIN(t_kc24.MED_AMOUT), MAX(t_kc24.MED_AMOUT) FROM t_kc24 WHERE t_kc24.MED_CLINIC_ID IN (SELECT t_kc24.MED_CLINIC_ID FROM t_kc24 WHERE t_kc24.t_kc21_MED_SER_ORG_NO = '6694892' AND t_kc24.t_kc21_OUT_DIAG_DIS_NM = '腔隙性脑梗死') | css |
CREATE TABLE table_13285 (
"Vessel:" text,
"Type:" text,
"Built:" real,
"Owned since:" real,
"Responsible:" text,
"Status:" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Type has a Responsible of stavangerske?
| SELECT "Type:" FROM table_13285 WHERE "Responsible:" = 'stavangerske' | wikisql |
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
... | SELECT (SELECT vitalperiodic.heartrate FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-2586') AND patient.unitdischargetime IS NULL)... | eicu |
CREATE TABLE table_61880 (
"Tie no" text,
"Home team" text,
"Score 1" text,
"Away team" text,
"Attendance" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the Score 1 of Tie no 6?
| SELECT "Score 1" FROM table_61880 WHERE "Tie no" = '6' | wikisql |
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE locations (
LOCAT... | SELECT HIRE_DATE, MANAGER_ID FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 ORDER BY HIRE_DATE | nvbench |
CREATE TABLE table_62296 (
"Round" real,
"Pick #" real,
"Overall" real,
"Name" text,
"Position" text,
"College" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the Overall of the pick less than 20?
| SELECT "Overall" FROM table_62296 WHERE "Pick #" < '20' | wikisql |
CREATE TABLE table_21373 (
"Official Name" text,
"Status" text,
"Area km 2" text,
"Population" real,
"Census Ranking" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What are that status(es) of saint-jacques?
| SELECT "Status" FROM table_21373 WHERE "Official Name" = 'Saint-Jacques' | wikisql |
CREATE TABLE Users (
Id number,
Reputation number,
CreationDate time,
DisplayName text,
LastAccessDate time,
WebsiteUrl text,
Location text,
AboutMe text,
Views number,
UpVotes number,
DownVotes number,
ProfileImageUrl text,
EmailHash text,
AccountId number
)
CRE... | SELECT Users.Id AS "user_link", UpVotes, CreationDate, LastAccessDate FROM Users WHERE (Reputation < 102) AND (UpVotes > 0) ORDER BY UpVotes DESC | sede |
CREATE TABLE table_75289 (
"Series Ep." text,
"Episode" real,
"Netflix" text,
"Segment A" text,
"Segment B" text,
"Segment C" text,
"Segment D" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the Netflix number having a segment of C o... | SELECT "Netflix" FROM table_75289 WHERE "Segment C" = 'pills' | wikisql |
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.insurance = "Private" AND diagnoses.icd9_code = "58089" | mimicsql_data |
CREATE TABLE table_name_51 (
site VARCHAR,
date VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- I want the site for september 29, 2013
| SELECT site FROM table_name_51 WHERE date = "september 29, 2013" | sql_create_context |
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description ... | SELECT u.Id, u.Reputation, CAST(SUM(CASE b.Class WHEN @GoldClass THEN 1 WHEN @SilverClass THEN 0 WHEN @BronzeClass THEN 0 ELSE 0 END) / CAST(u.Reputation AS FLOAT(10, 2)) AS FLOAT(5, 5)) AS "RATIO", SUM(CASE b.Class WHEN @GoldClass THEN 1 ELSE 0 END) AS "Gold badges" FROM Users AS u INNER JOIN Badges AS b ON u.Id = b.U... | sede |
CREATE TABLE table_70009 (
"Date" text,
"City" text,
"Country" text,
"Venue" text,
"Attendance" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which City has mandalay bay resort
| SELECT "City" FROM table_70009 WHERE "Venue" = 'mandalay bay resort' | wikisql |
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 t3.culturesite FROM (SELECT t2.culturesite, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'hypoxemia' AND DATETIME(diagnosis.diagnosist... | eicu |
CREATE TABLE hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,... | SELECT zyjybgb.BGRGH, zyjybgb.BGRXM FROM zyjybgb WHERE zyjybgb.BGDH = '26254830519' UNION SELECT mzjybgb.BGRGH, mzjybgb.BGRXM FROM mzjybgb WHERE mzjybgb.BGDH = '26254830519' | css |
CREATE TABLE table_64760 (
"Game" text,
"Date" text,
"Opponent" text,
"Score" text,
"Location Attendance" text,
"Record" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which opponent has a 26-12 record?
| SELECT "Opponent" FROM table_64760 WHERE "Record" = '26-12' | wikisql |
CREATE TABLE table_1746 (
"Official Name" text,
"Status" text,
"Area km 2" text,
"Population" real,
"Census Ranking" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the census ranking of the Perth parish?
| SELECT "Census Ranking" FROM table_1746 WHERE "Official Name" = 'Perth' | wikisql |
CREATE TABLE table_16734640_1 (
nickname VARCHAR,
institution VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the total number of nicknames for andrew college
| SELECT COUNT(nickname) FROM table_16734640_1 WHERE institution = "Andrew College" | sql_create_context |
CREATE TABLE qualifying (
qualifyid number,
raceid number,
driverid number,
constructorid number,
number number,
position number,
q1 text,
q2 text,
q3 text
)
CREATE TABLE constructors (
constructorid number,
constructorref text,
name text,
nationality text,
url t... | SELECT T1.driverid, T1.surname FROM drivers AS T1 JOIN laptimes AS T2 ON T1.driverid = T2.driverid ORDER BY T2.milliseconds DESC LIMIT 1 | spider |
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