instruction
stringlengths 151
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CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
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,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how many current patients are of age 50s?
|
SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE patient.hospitaldischargetime IS NULL AND patient.age BETWEEN 50 AND 59
|
eicu
|
CREATE TABLE table_53478 (
"Grid" real,
"Driver" text,
"Constructor" text,
"Qual" real,
"Rank" real,
"Laps" real,
"Time/Retired" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many laps did Chuck Stevenson have with a grid of less than 11?
|
SELECT COUNT("Laps") FROM table_53478 WHERE "Driver" = 'chuck stevenson' AND "Grid" < '11'
|
wikisql
|
CREATE TABLE table_name_6 (
away_team VARCHAR,
attendance VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who was the away team at the game attended by 81?
|
SELECT away_team FROM table_name_6 WHERE attendance = "81"
|
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 text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- provide the number of patients whose primary disease is st-segment elevation myocardial infarction\cardiac cath and year of death is less than or equal to 2115?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "ST-SEGMENT ELEVATION MYOCARDIAL INFARCTION\CARDIAC CATH" AND demographic.dod_year <= "2115.0"
|
mimicsql_data
|
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,
FLX_MED_ORG_ID text,
ILL_PAY number,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
LAS_OVE_PAY number,
MED_AMOUT number,
MED_CLINIC_ID text,
MED_SAFE_PAY_ID text,
MED_TYPE number,
OLDC_FUND_PAY number,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_ADD_PAY number,
OVE_PAY number,
PERSON_ID text,
PER_ACC_PAY number,
PER_EXP number,
PER_SOL number,
RECEIVER_DEAL_ID text,
RECEIVER_OFFSET_ID text,
RECEIVER_REVOKE_ID text,
RECIPE_BILL_ID text,
REF_SLT_FLG number,
REIMBURS_FLG number,
SENDER_DEAL_ID text,
SENDER_OFFSET_ID text,
SENDER_REVOKE_ID text,
SPE_FUND_PAY number,
SUP_ADD_PAY number,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE t_kc21_t_kc22 (
MED_CLINIC_ID text,
MED_EXP_DET_ID number
)
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,
INSU_TYPE text,
IN_DIAG_DIS_CD text,
IN_DIAG_DIS_NM text,
IN_HOSP_DATE time,
IN_HOSP_DAYS number,
MAIN_COND_DES text,
MED_AMOUT number,
MED_CLINIC_ID text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
MED_SER_ORG_NO text,
MED_TYPE number,
OUT_DIAG_DIS_CD text,
OUT_DIAG_DIS_NM text,
OUT_DIAG_DOC_CD text,
OUT_DIAG_DOC_NM text,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
PERSON_AGE number,
PERSON_ID text,
PERSON_NM text,
PERSON_SEX number,
REIMBURSEMENT_FLG number,
REMOTE_SETTLE_FLG text,
SERVANT_FLG text,
SOC_SRT_CARD text,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE t_kc22 (
AMOUNT number,
CHA_ITEM_LEV number,
DATA_ID text,
DIRE_TYPE number,
DOSE_FORM text,
DOSE_UNIT text,
EACH_DOSAGE text,
EXP_OCC_DATE time,
FLX_MED_ORG_ID text,
FXBZ number,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
MED_DIRE_CD text,
MED_DIRE_NM text,
MED_EXP_BILL_ID text,
MED_EXP_DET_ID text,
MED_INV_ITEM_TYPE text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_SELF_AMO number,
PRESCRIPTION_CODE text,
PRESCRIPTION_ID text,
QTY number,
RECIPE_BILL_ID text,
REF_STA_FLG number,
REIMBURS_TYPE number,
REMOTE_SETTLE_FLG text,
RER_SOL number,
SELF_PAY_AMO number,
SELF_PAY_PRO number,
SOC_SRT_DIRE_CD text,
SOC_SRT_DIRE_NM text,
SPEC text,
STA_DATE time,
STA_FLG number,
SYNC_TIME time,
TRADE_TYPE number,
UNIVALENT number,
UP_LIMIT_AMO number,
USE_FRE text,
VAL_UNIT text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 编号54296151099的医疗就诊开出的抗病毒口服液的剂型和规格是什么
|
SELECT t_kc22.DOSE_FORM, t_kc22.SPEC 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 = '54296151099' AND t_kc22.SOC_SRT_DIRE_NM = '抗病毒口服液'
|
css
|
CREATE TABLE table_name_14 (
winning_score VARCHAR,
championship VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the winning score in the PGA Championship?
|
SELECT winning_score FROM table_name_14 WHERE championship = "pga championship"
|
sql_create_context
|
CREATE TABLE table_11677100_11 (
hometown VARCHAR,
school VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- WHAT TOWN IS WEST BROOK SENIOR HIGH SCHOOL FROM?
|
SELECT hometown FROM table_11677100_11 WHERE school = "West Brook Senior High school"
|
sql_create_context
|
CREATE TABLE class (
class_code text,
crs_code text,
class_section text,
class_time text,
class_room text,
prof_num number
)
CREATE TABLE course (
crs_code text,
dept_code text,
crs_description text,
crs_credit number
)
CREATE TABLE student (
stu_num number,
stu_lname text,
stu_fname text,
stu_init text,
stu_dob time,
stu_hrs number,
stu_class text,
stu_gpa number,
stu_transfer number,
dept_code text,
stu_phone text,
prof_num number
)
CREATE TABLE employee (
emp_num number,
emp_lname text,
emp_fname text,
emp_initial text,
emp_jobcode text,
emp_hiredate time,
emp_dob time
)
CREATE TABLE professor (
emp_num number,
dept_code text,
prof_office text,
prof_extension text,
prof_high_degree text
)
CREATE TABLE department (
dept_code text,
dept_name text,
school_code text,
emp_num number,
dept_address text,
dept_extension text
)
CREATE TABLE enroll (
class_code text,
stu_num number,
enroll_grade text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the department name of the students with lowest gpa belongs to?
|
SELECT T2.dept_name FROM student AS T1 JOIN department AS T2 ON T1.dept_code = T2.dept_code ORDER BY stu_gpa LIMIT 1
|
spider
|
CREATE TABLE table_47164 (
"Round" real,
"Pick" text,
"Player" text,
"Position" text,
"School/Club Team" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Round has a Player of sammy okpro?
|
SELECT AVG("Round") FROM table_47164 WHERE "Player" = 'sammy okpro'
|
wikisql
|
CREATE TABLE equipment_sequence (
aircraft_code_sequence varchar,
aircraft_code varchar
)
CREATE TABLE fare (
fare_id int,
from_airport varchar,
to_airport varchar,
fare_basis_code text,
fare_airline text,
restriction_code text,
one_direction_cost int,
round_trip_cost int,
round_trip_required varchar
)
CREATE TABLE ground_service (
city_code text,
airport_code text,
transport_type text,
ground_fare int
)
CREATE TABLE dual_carrier (
main_airline varchar,
low_flight_number int,
high_flight_number int,
dual_airline varchar,
service_name text
)
CREATE TABLE time_zone (
time_zone_code text,
time_zone_name text,
hours_from_gmt int
)
CREATE TABLE aircraft (
aircraft_code varchar,
aircraft_description varchar,
manufacturer varchar,
basic_type varchar,
engines int,
propulsion varchar,
wide_body varchar,
wing_span int,
length int,
weight int,
capacity int,
pay_load int,
cruising_speed int,
range_miles int,
pressurized varchar
)
CREATE TABLE airline (
airline_code varchar,
airline_name text,
note text
)
CREATE TABLE time_interval (
period text,
begin_time int,
end_time int
)
CREATE TABLE state (
state_code text,
state_name text,
country_name text
)
CREATE TABLE code_description (
code varchar,
description text
)
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 compartment_class (
compartment varchar,
class_type varchar
)
CREATE TABLE city (
city_code varchar,
city_name varchar,
state_code varchar,
country_name varchar,
time_zone_code varchar
)
CREATE TABLE flight_leg (
flight_id int,
leg_number int,
leg_flight int
)
CREATE TABLE airport (
airport_code varchar,
airport_name text,
airport_location text,
state_code varchar,
country_name varchar,
time_zone_code varchar,
minimum_connect_time int
)
CREATE TABLE fare_basis (
fare_basis_code text,
booking_class text,
class_type text,
premium text,
economy text,
discounted text,
night text,
season text,
basis_days text
)
CREATE TABLE flight_stop (
flight_id int,
stop_number int,
stop_days text,
stop_airport text,
arrival_time int,
arrival_airline text,
arrival_flight_number int,
departure_time int,
departure_airline text,
departure_flight_number int,
stop_time int
)
CREATE TABLE airport_service (
city_code varchar,
airport_code varchar,
miles_distant int,
direction varchar,
minutes_distant int
)
CREATE TABLE flight_fare (
flight_id int,
fare_id int
)
CREATE TABLE days (
days_code varchar,
day_name varchar
)
CREATE TABLE month (
month_number int,
month_name text
)
CREATE TABLE date_day (
month_number int,
day_number int,
year int,
day_name varchar
)
CREATE TABLE class_of_service (
booking_class varchar,
rank int,
class_description text
)
CREATE TABLE flight (
aircraft_code_sequence text,
airline_code varchar,
airline_flight text,
arrival_time int,
connections int,
departure_time int,
dual_carrier text,
flight_days text,
flight_id int,
flight_number int,
from_airport varchar,
meal_code text,
stops int,
time_elapsed int,
to_airport varchar
)
CREATE TABLE food_service (
meal_code text,
meal_number int,
compartment text,
meal_description varchar
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- list the flights arriving in BALTIMORE from PITTSBURGH on 8 3
|
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, date_day, days, flight, state WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BALTIMORE' AND date_day.day_number = 2 AND date_day.month_number = 8 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'PITTSBURGH' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND state.state_code = CITY_0.state_code AND state.state_name = 'state_name0'
|
atis
|
CREATE TABLE table_name_70 (
democratic_ticket VARCHAR,
office VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who was on the Democratic ticket for the Office of Attorney General?
|
SELECT democratic_ticket FROM table_name_70 WHERE office = "attorney general"
|
sql_create_context
|
CREATE TABLE Documents_to_be_destroyed (
Destroyed_by_Employee_ID VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Show the ids of all employees who have destroyed a document.
|
SELECT DISTINCT Destroyed_by_Employee_ID FROM Documents_to_be_destroyed
|
sql_create_context
|
CREATE TABLE table_79572 (
"School" text,
"Location" text,
"Mascot" text,
"Enrollment 08-09" real,
"IHSAA Class" text,
"IHSAA Class Football" text,
"County" text,
"Year Joined" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What school is in 36 Jackson?
|
SELECT "School" FROM table_79572 WHERE "County" = '36 jackson'
|
wikisql
|
CREATE TABLE table_2094 (
"Season" text,
"Final Venue" text,
"Champion" text,
"Result" text,
"Finalist" text,
"MVP" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who was the finalist when the final venue was Varese?
|
SELECT "Finalist" FROM table_2094 WHERE "Final Venue" = 'Varese'
|
wikisql
|
CREATE TABLE Complaints (
complaint_id INTEGER,
product_id INTEGER,
customer_id INTEGER,
complaint_outcome_code VARCHAR(20),
complaint_status_code VARCHAR(20),
complaint_type_code VARCHAR(20),
date_complaint_raised DATETIME,
date_complaint_closed DATETIME,
staff_id INTEGER
)
CREATE TABLE Staff (
staff_id INTEGER,
gender VARCHAR(1),
first_name VARCHAR(80),
last_name VARCHAR(80),
email_address VARCHAR(255),
phone_number VARCHAR(80)
)
CREATE TABLE Customers (
customer_id INTEGER,
customer_type_code VARCHAR(20),
address_line_1 VARCHAR(80),
address_line_2 VARCHAR(80),
town_city VARCHAR(80),
state VARCHAR(80),
email_address VARCHAR(255),
phone_number VARCHAR(80)
)
CREATE TABLE Products (
product_id INTEGER,
parent_product_id INTEGER,
product_category_code VARCHAR(20),
date_product_first_available DATETIME,
date_product_discontinued DATETIME,
product_name VARCHAR(80),
product_description VARCHAR(255),
product_price DECIMAL(19,4)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the average price of the products for each category, and sort bars in descending order.
|
SELECT product_category_code, AVG(product_price) FROM Products GROUP BY product_category_code ORDER BY product_category_code DESC
|
nvbench
|
CREATE TABLE table_203_877 (
id number,
"year" number,
"single" text,
"us cashbox" number,
"us hot 100" number,
"uk singles" number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what are the total number of singles in 1974 ?
|
SELECT COUNT("single") FROM table_203_877 WHERE "year" = 1974
|
squall
|
CREATE TABLE table_2668401_17 (
first_elected VARCHAR,
result VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- When was the incumbent first elected in the district where the result was a democratic-republican gain?
|
SELECT first_elected FROM table_2668401_17 WHERE result = "Democratic-Republican gain"
|
sql_create_context
|
CREATE TABLE table_name_19 (
publisher VARCHAR,
name VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which publisher is responsible for spec ops: stealth patrol?
|
SELECT publisher FROM table_name_19 WHERE name = "spec ops: stealth patrol"
|
sql_create_context
|
CREATE TABLE table_name_41 (
drawn INTEGER,
points_difference VARCHAR,
lost VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many games drawn with a Points difference of 31 - 33, and under 4 games lost?
|
SELECT SUM(drawn) FROM table_name_41 WHERE points_difference = "31 - 33" AND lost < 4
|
sql_create_context
|
CREATE TABLE table_74500 (
"Aircraft" text,
"Origin" text,
"Type" text,
"Versions" text,
"In service" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Tell me the aircraft for pzl-104
|
SELECT "Aircraft" FROM table_74500 WHERE "Versions" = 'pzl-104'
|
wikisql
|
CREATE TABLE Customers (
customer_id INTEGER,
customer_address_id INTEGER,
customer_status_code VARCHAR(15),
date_became_customer DATETIME,
date_of_birth DATETIME,
first_name VARCHAR(80),
last_name VARCHAR(80),
amount_outstanding DOUBLE,
email_address VARCHAR(250),
phone_number VARCHAR(255),
cell_mobile_phone_number VARCHAR(255)
)
CREATE TABLE Addresses (
address_id INTEGER,
line_1_number_building VARCHAR(80),
city VARCHAR(50),
zip_postcode VARCHAR(20),
state_province_county VARCHAR(50),
country VARCHAR(50)
)
CREATE TABLE Lessons (
lesson_id INTEGER,
customer_id INTEGER,
lesson_status_code VARCHAR(15),
staff_id INTEGER,
vehicle_id INTEGER,
lesson_date DATETIME,
lesson_time VARCHAR(10),
price DOUBLE
)
CREATE TABLE Staff (
staff_id INTEGER,
staff_address_id INTEGER,
nickname VARCHAR(80),
first_name VARCHAR(80),
middle_name VARCHAR(80),
last_name VARCHAR(80),
date_of_birth DATETIME,
date_joined_staff DATETIME,
date_left_staff DATETIME
)
CREATE TABLE Customer_Payments (
customer_id INTEGER,
datetime_payment DATETIME,
payment_method_code VARCHAR(10),
amount_payment DOUBLE
)
CREATE TABLE Vehicles (
vehicle_id INTEGER,
vehicle_details VARCHAR(255)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- List all payment methods and number of payments using each payment methods by a bar chart, rank from low to high by the y axis.
|
SELECT payment_method_code, COUNT(*) FROM Customer_Payments GROUP BY payment_method_code ORDER BY COUNT(*)
|
nvbench
|
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,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the minimum age of patients who are diagnosed with primary disease overdose and who stayed in hospital for 11 days?
|
SELECT MIN(demographic.age) FROM demographic WHERE demographic.diagnosis = "OVERDOSE" AND demographic.days_stay = "11"
|
mimicsql_data
|
CREATE TABLE ref_incident_type (
incident_type_code text,
incident_type_description text
)
CREATE TABLE teachers (
teacher_id number,
address_id number,
first_name text,
middle_name text,
last_name text,
gender text,
cell_mobile_number text,
email_address text,
other_details text
)
CREATE TABLE behavior_incident (
incident_id number,
incident_type_code text,
student_id number,
date_incident_start time,
date_incident_end time,
incident_summary text,
recommendations text,
other_details text
)
CREATE TABLE student_addresses (
student_id number,
address_id number,
date_address_from time,
date_address_to time,
monthly_rental number,
other_details text
)
CREATE TABLE students_in_detention (
student_id number,
detention_id number,
incident_id number
)
CREATE TABLE assessment_notes (
notes_id number,
student_id number,
teacher_id number,
date_of_notes time,
text_of_notes text,
other_details text
)
CREATE TABLE detention (
detention_id number,
detention_type_code text,
teacher_id number,
datetime_detention_start time,
datetime_detention_end time,
detention_summary text,
other_details text
)
CREATE TABLE students (
student_id number,
address_id number,
first_name text,
middle_name text,
last_name text,
cell_mobile_number text,
email_address text,
date_first_rental time,
date_left_university time,
other_student_details text
)
CREATE TABLE ref_detention_type (
detention_type_code text,
detention_type_description text
)
CREATE TABLE ref_address_types (
address_type_code text,
address_type_description text
)
CREATE TABLE addresses (
address_id number,
line_1 text,
line_2 text,
line_3 text,
city text,
zip_postcode text,
state_province_county text,
country text,
other_address_details text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Find the id and last name of the teacher that has the most detentions with detention type code 'AFTER'?
|
SELECT T1.teacher_id, T2.last_name FROM detention AS T1 JOIN teachers AS T2 ON T1.teacher_id = T2.teacher_id WHERE T1.detention_type_code = "AFTER" GROUP BY T1.teacher_id ORDER BY COUNT(*) DESC LIMIT 1
|
spider
|
CREATE TABLE table_name_35 (
nominating_festival VARCHAR,
country VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What Nominating Festival took place in Germany?
|
SELECT nominating_festival FROM table_name_35 WHERE country = "germany"
|
sql_create_context
|
CREATE TABLE table_26825349_1 (
no_in_season VARCHAR,
production_code VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the episode number of the episode with a production code of 4aky14?
|
SELECT no_in_season FROM table_26825349_1 WHERE production_code = "4AKY14"
|
sql_create_context
|
CREATE TABLE table_20643 (
"Year (Ceremony)" text,
"Film title used in nomination" text,
"Language(s)" text,
"Director" text,
"Result" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the result for the 2009 (82nd) awards?
|
SELECT "Result" FROM table_20643 WHERE "Year (Ceremony)" = '2009 (82nd)'
|
wikisql
|
CREATE TABLE table_11116 (
"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 team was the away team when Footscray was the home team?
|
SELECT "Away team" FROM table_11116 WHERE "Home team" = 'footscray'
|
wikisql
|
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,
FLX_MED_ORG_ID text,
ILL_PAY number,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
LAS_OVE_PAY number,
MED_AMOUT number,
MED_CLINIC_ID text,
MED_SAFE_PAY_ID text,
MED_TYPE number,
OLDC_FUND_PAY number,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_ADD_PAY number,
OVE_PAY number,
PERSON_ID text,
PER_ACC_PAY number,
PER_EXP number,
PER_SOL number,
RECEIVER_DEAL_ID text,
RECEIVER_OFFSET_ID text,
RECEIVER_REVOKE_ID text,
RECIPE_BILL_ID text,
REF_SLT_FLG number,
REIMBURS_FLG number,
SENDER_DEAL_ID text,
SENDER_OFFSET_ID text,
SENDER_REVOKE_ID text,
SPE_FUND_PAY number,
SUP_ADD_PAY number,
SYNC_TIME time,
TRADE_TYPE number
)
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,
INSU_TYPE text,
IN_DIAG_DIS_CD text,
IN_DIAG_DIS_NM text,
IN_HOSP_DATE time,
IN_HOSP_DAYS number,
MAIN_COND_DES text,
MED_AMOUT number,
MED_CLINIC_ID text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
MED_SER_ORG_NO text,
MED_TYPE number,
OUT_DIAG_DIS_CD text,
OUT_DIAG_DIS_NM text,
OUT_DIAG_DOC_CD text,
OUT_DIAG_DOC_NM text,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
PERSON_AGE number,
PERSON_ID text,
PERSON_NM text,
PERSON_SEX number,
REIMBURSEMENT_FLG number,
REMOTE_SETTLE_FLG text,
SERVANT_FLG text,
SOC_SRT_CARD text,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE t_kc22 (
AMOUNT number,
CHA_ITEM_LEV number,
DATA_ID text,
DIRE_TYPE number,
DOSE_FORM text,
DOSE_UNIT text,
EACH_DOSAGE text,
EXP_OCC_DATE time,
FLX_MED_ORG_ID text,
FXBZ number,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
MED_DIRE_CD text,
MED_DIRE_NM text,
MED_EXP_BILL_ID text,
MED_EXP_DET_ID text,
MED_INV_ITEM_TYPE text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_SELF_AMO number,
PRESCRIPTION_CODE text,
PRESCRIPTION_ID text,
QTY number,
RECIPE_BILL_ID text,
REF_STA_FLG number,
REIMBURS_TYPE number,
REMOTE_SETTLE_FLG text,
RER_SOL number,
SELF_PAY_AMO number,
SELF_PAY_PRO number,
SOC_SRT_DIRE_CD text,
SOC_SRT_DIRE_NM text,
SPEC text,
STA_DATE time,
STA_FLG number,
SYNC_TIME time,
TRADE_TYPE number,
UNIVALENT number,
UP_LIMIT_AMO number,
USE_FRE text,
VAL_UNIT text
)
CREATE TABLE t_kc21_t_kc22 (
MED_CLINIC_ID text,
MED_EXP_DET_ID number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 哪些编号及姓名的医师对病患48469045在医疗就诊99601428429中进行医疗项目的开具
|
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 = '99601428429'
|
css
|
CREATE TABLE table_name_54 (
content VARCHAR,
sign VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the content for sign of g e
|
SELECT content FROM table_name_54 WHERE sign = "g e"
|
sql_create_context
|
CREATE TABLE table_1923 (
"Township" text,
"County" text,
"Pop. (2010)" real,
"Land ( sqmi )" text,
"Water (sqmi)" text,
"Latitude" text,
"Longitude" text,
"GEO ID" real,
"ANSI code" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- If the longitude is -97.473110, what is the minimum geo id?
|
SELECT MIN("GEO ID") FROM table_1923 WHERE "Longitude" = '-97.473110'
|
wikisql
|
CREATE TABLE table_61078 (
"Tie no" text,
"Home team" text,
"Score" text,
"Away team" text,
"Date" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the Date of Tie no 9?
|
SELECT "Date" FROM table_61078 WHERE "Tie no" = '9'
|
wikisql
|
CREATE TABLE table_49838 (
"Rank" real,
"Player" text,
"Country" text,
"Events" real,
"Prize money( $ )" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the rank for the player with events greater than 23 and prize money in excess of $823,783?
|
SELECT COUNT("Rank") FROM table_49838 WHERE "Events" > '23' AND "Prize money( $ )" > '823,783'
|
wikisql
|
CREATE TABLE table_name_19 (
opponents VARCHAR,
tournament VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the name of the opponent for the Sutton tournament?
|
SELECT opponents FROM table_name_19 WHERE tournament = "sutton"
|
sql_create_context
|
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
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 countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- For all employees who have the letters D or S in their first name, show me about the distribution of hire_date and the amount of hire_date bin hire_date by weekday in a bar chart, order how many hire date from low to high order please.
|
SELECT HIRE_DATE, COUNT(HIRE_DATE) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY COUNT(HIRE_DATE)
|
nvbench
|
CREATE TABLE txmzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH number,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
KH text,
KLX number,
MJZH text,
ML number,
MZZYZDZZBM text,
MZZYZDZZMC text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TZ number,
WDBZ number,
XL number,
YLJGDM number,
ZSEBZ number,
ZZBZ number,
ZZYSGH text
)
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,
JCZBJGDX text,
JCZBMC text,
JLDW text,
JYRQ time,
JYZBLSH text,
SBBM text,
SHRGH text,
SHRXM text,
YLJGDM text,
YQBH text,
YQMC text
)
CREATE TABLE jybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH text,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
JYKSBM text,
JYKSMC text,
JYLX number,
JYRQ time,
JYSQJGMC text,
JYXMDM text,
JYXMMC text,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM text,
YLJGDM_MZJZJLB text,
YLJGDM_ZYJZJLB text
)
CREATE TABLE person_info (
CSD text,
CSRQ time,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
MZDM text,
MZMC text,
RYBH text,
XBDM number,
XBMC text,
XLDM text,
XLMC text,
XM text,
ZYLBDM text,
ZYMC text
)
CREATE TABLE ftxmzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH number,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
KH text,
KLX number,
MJZH text,
ML number,
MZZYZDZZBM text,
MZZYZDZZMC text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TZ number,
WDBZ number,
XL number,
YLJGDM number,
ZSEBZ number,
ZZBZ number,
ZZYSGH 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,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
YLJGDM text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 有多少检验报告单是病人48698459在00年9月24日到2010年6月21日内开出其科室编码以及名称都是什么？
|
SELECT jybgb.KSBM, jybgb.KSMC FROM hz_info JOIN txmzjzjlb JOIN jybgb ON hz_info.YLJGDM = txmzjzjlb.YLJGDM AND hz_info.KH = txmzjzjlb.KH AND hz_info.KLX = txmzjzjlb.KLX AND txmzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND txmzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB WHERE hz_info.RYBH = '48698459' AND jybgb.BGRQ BETWEEN '2000-09-24' AND '2010-06-21' UNION SELECT jybgb.KSBM, jybgb.KSMC FROM hz_info JOIN ftxmzjzjlb JOIN jybgb ON hz_info.YLJGDM = ftxmzjzjlb.YLJGDM AND hz_info.KH = ftxmzjzjlb.KH AND hz_info.KLX = ftxmzjzjlb.KLX AND ftxmzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND ftxmzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB WHERE hz_info.RYBH = '48698459' AND jybgb.BGRQ BETWEEN '2000-09-24' AND '2010-06-21' UNION SELECT jybgb.KSBM, jybgb.KSMC FROM hz_info JOIN zyjzjlb JOIN jybgb ON hz_info.YLJGDM = zyjzjlb.YLJGDM AND hz_info.KH = zyjzjlb.KH AND hz_info.KLX = zyjzjlb.KLX AND zyjzjlb.YLJGDM = jybgb.YLJGDM_ZYJZJLB AND zyjzjlb.JZLSH = jybgb.JZLSH_ZYJZJLB WHERE hz_info.RYBH = '48698459' AND jybgb.BGRQ BETWEEN '2000-09-24' AND '2010-06-21'
|
css
|
CREATE TABLE membership_register_branch (
Member_ID int,
Branch_ID text,
Register_Year text
)
CREATE TABLE purchase (
Member_ID int,
Branch_ID text,
Year text,
Total_pounds real
)
CREATE TABLE member (
Member_ID int,
Card_Number text,
Name text,
Hometown text,
Level int
)
CREATE TABLE branch (
Branch_ID int,
Name text,
Open_year text,
Address_road text,
City text,
membership_amount text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Visualize a bar chart, grouping by city attribute, and compute the total number in each group.
|
SELECT City, COUNT(City) FROM branch GROUP BY City ORDER BY Open_year
|
nvbench
|
CREATE TABLE table_71070 (
"Year" real,
"Country" text,
"Nominated work" text,
"Award" text,
"Result" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the result for song of the year award in 1994?
|
SELECT "Result" FROM table_71070 WHERE "Year" = '1994' AND "Award" = 'song of the year'
|
wikisql
|
CREATE TABLE table_name_67 (
apparent_magnitude INTEGER,
declination___j2000__ VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the Apparent magnitude of a Declination (J2000) of 39 45 ?
|
SELECT MIN(apparent_magnitude) FROM table_name_67 WHERE declination___j2000__ = "°39′45″"
|
sql_create_context
|
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
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,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- when was the first time patient 025-10988's heartrate was greater than 97.0 since 4 days ago.
|
SELECT vitalperiodic.observationtime FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '025-10988')) AND vitalperiodic.heartrate > 97.0 AND NOT vitalperiodic.heartrate IS NULL AND DATETIME(vitalperiodic.observationtime) >= DATETIME(CURRENT_TIME(), '-4 day') ORDER BY vitalperiodic.observationtime LIMIT 1
|
eicu
|
CREATE TABLE table_23855 (
"No. in series" real,
"No. in season" real,
"Title" text,
"Directedby" text,
"Writtenby" text,
"Originalairdate" text,
"Production code" text,
"U.S.viewers (million)" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the production code for the episode with 3.38 million viewers?
|
SELECT "Production code" FROM table_23855 WHERE "U.S.viewers (million)" = '3.38'
|
wikisql
|
CREATE TABLE table_name_10 (
grid INTEGER,
laps VARCHAR,
driver VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is Oriol Servia's average Grid on races with more than 43 laps?
|
SELECT AVG(grid) FROM table_name_10 WHERE laps > 43 AND driver = "oriol servia"
|
sql_create_context
|
CREATE TABLE artist (
artist_name varchar2(50),
country varchar2(20),
gender varchar2(20),
preferred_genre varchar2(50)
)
CREATE TABLE song (
song_name varchar2(50),
artist_name varchar2(50),
country varchar2(20),
f_id number(10),
genre_is varchar2(20),
rating number(10),
languages varchar2(20),
releasedate Date,
resolution number(10)
)
CREATE TABLE files (
f_id number(10),
artist_name varchar2(50),
file_size varchar2(20),
duration varchar2(20),
formats varchar2(20)
)
CREATE TABLE genre (
g_name varchar2(20),
rating varchar2(10),
most_popular_in varchar2(50)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how many songs were released for each format?
|
SELECT formats, COUNT(*) FROM files GROUP BY formats
|
nvbench
|
CREATE TABLE table_22050544_1 (
winner VARCHAR,
dateca VARCHAR,
event__number VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who is the winner of event # 1h and dateca is Apr 2?
|
SELECT winner FROM table_22050544_1 WHERE dateca = "Apr 2" AND event__number = "1H"
|
sql_create_context
|
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- give me the number of patients whose gender is f and procedure short title is drug detoxification?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.gender = "F" AND procedures.short_title = "Drug detoxification"
|
mimicsql_data
|
CREATE TABLE code_description (
code varchar,
description text
)
CREATE TABLE airline (
airline_code varchar,
airline_name text,
note text
)
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 fare_basis (
fare_basis_code text,
booking_class text,
class_type text,
premium text,
economy text,
discounted text,
night text,
season text,
basis_days text
)
CREATE TABLE flight_leg (
flight_id int,
leg_number int,
leg_flight int
)
CREATE TABLE food_service (
meal_code text,
meal_number int,
compartment text,
meal_description varchar
)
CREATE TABLE flight_stop (
flight_id int,
stop_number int,
stop_days text,
stop_airport text,
arrival_time int,
arrival_airline text,
arrival_flight_number int,
departure_time int,
departure_airline text,
departure_flight_number int,
stop_time int
)
CREATE TABLE time_zone (
time_zone_code text,
time_zone_name text,
hours_from_gmt int
)
CREATE TABLE flight_fare (
flight_id int,
fare_id int
)
CREATE TABLE dual_carrier (
main_airline varchar,
low_flight_number int,
high_flight_number int,
dual_airline varchar,
service_name text
)
CREATE TABLE fare (
fare_id int,
from_airport varchar,
to_airport varchar,
fare_basis_code text,
fare_airline text,
restriction_code text,
one_direction_cost int,
round_trip_cost int,
round_trip_required varchar
)
CREATE TABLE flight (
aircraft_code_sequence text,
airline_code varchar,
airline_flight text,
arrival_time int,
connections int,
departure_time int,
dual_carrier text,
flight_days text,
flight_id int,
flight_number int,
from_airport varchar,
meal_code text,
stops int,
time_elapsed int,
to_airport varchar
)
CREATE TABLE compartment_class (
compartment varchar,
class_type varchar
)
CREATE TABLE month (
month_number int,
month_name text
)
CREATE TABLE airport (
airport_code varchar,
airport_name text,
airport_location text,
state_code varchar,
country_name varchar,
time_zone_code varchar,
minimum_connect_time int
)
CREATE TABLE airport_service (
city_code varchar,
airport_code varchar,
miles_distant int,
direction varchar,
minutes_distant int
)
CREATE TABLE days (
days_code varchar,
day_name varchar
)
CREATE TABLE state (
state_code text,
state_name text,
country_name text
)
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,
length int,
weight int,
capacity int,
pay_load int,
cruising_speed int,
range_miles int,
pressurized varchar
)
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 date_day (
month_number int,
day_number int,
year int,
day_name varchar
)
CREATE TABLE time_interval (
period text,
begin_time int,
end_time int
)
CREATE TABLE equipment_sequence (
aircraft_code_sequence varchar,
aircraft_code varchar
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what does code QW mean
|
SELECT DISTINCT fare_basis_code FROM fare_basis WHERE fare_basis_code = 'QW'
|
atis
|
CREATE TABLE Ref_Transaction_Types (
transaction_type_code VARCHAR(10),
transaction_type_description VARCHAR(80)
)
CREATE TABLE Purchases (
purchase_transaction_id INTEGER,
purchase_details VARCHAR(255)
)
CREATE TABLE Investors (
investor_id INTEGER,
Investor_details VARCHAR(255)
)
CREATE TABLE Sales (
sales_transaction_id INTEGER,
sales_details VARCHAR(255)
)
CREATE TABLE Transactions_Lots (
transaction_id INTEGER,
lot_id INTEGER
)
CREATE TABLE Transactions (
transaction_id INTEGER,
investor_id INTEGER,
transaction_type_code VARCHAR(10),
date_of_transaction DATETIME,
amount_of_transaction DECIMAL(19,4),
share_count VARCHAR(40),
other_details VARCHAR(255)
)
CREATE TABLE Lots (
lot_id INTEGER,
investor_id INTEGER,
lot_details VARCHAR(255)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Bar graph to show sum share count from different date of transaction, and rank total number in descending order please.
|
SELECT date_of_transaction, SUM(share_count) FROM Transactions ORDER BY SUM(share_count) DESC
|
nvbench
|
CREATE TABLE outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value number
)
CREATE TABLE patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label text
)
CREATE TABLE chartevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
CREATE TABLE procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
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 TABLE d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
)
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 transfers (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
eventtype text,
careunit text,
wardid number,
intime time,
outtime time
)
CREATE TABLE inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
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
)
CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
CREATE TABLE d_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE d_items (
row_id number,
itemid number,
label text,
linksto text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- count the number of people who were discharged this year from the hospital.
|
SELECT COUNT(DISTINCT admissions.subject_id) FROM admissions WHERE NOT admissions.dischtime IS NULL AND DATETIME(admissions.dischtime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')
|
mimic_iii
|
CREATE TABLE table_train_132 (
"id" int,
"loss_of_consciousness" bool,
"deep_venous_thrombosis" bool,
"unstable_angina" bool,
"thromboembolic_vascular_disease" bool,
"head_injury" bool,
"stroke" bool,
"cerebrovascular_disease" bool,
"mental_retardation" bool,
"psychiatric_disease" bool,
"modified_hachinski_ischemia_scale" int,
"systemic_illness" bool,
"mental_illness" bool,
"hydrocephalus" bool,
"mri" bool,
"psychotic_disorder" bool,
"pulmonary_embolus" bool,
"arrythmias" bool,
"lacunar_infarcts" bool,
"bipolar_disorder" bool,
"cva" bool,
"cardiac_disease" bool,
"brain_damage" bool,
"neurological_disease" bool,
"seizure_disorder" bool,
"vascular_dementia" bool,
"organ_failure" bool,
"parkinson_disease" bool,
"lewy_body_disease" bool,
"hypertension" bool,
"NOUSE" float
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- history of mental illness within one year or history of significant untreated cardiac or thromboembolic vascular disease ( arrythmias, unstable angina, cva, deep venous thrombosis, or pulmonary embolus ) .
|
SELECT * FROM table_train_132 WHERE mental_illness = 1 OR cardiac_disease = 1 OR thromboembolic_vascular_disease = 1 OR (arrythmias = 1 OR unstable_angina = 1 OR cva = 1 OR deep_venous_thrombosis = 1 OR pulmonary_embolus = 1)
|
criteria2sql
|
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 departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- For all employees who have the letters D or S in their first name, return a line chart about the change of employee_id over hire_date .
|
SELECT HIRE_DATE, EMPLOYEE_ID FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%'
|
nvbench
|
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,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_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,
label text,
fluid text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- count the number of patients whose year of death is less than or equal to 2131 and drug code is cepacol1?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.dod_year <= "2131.0" AND prescriptions.formulary_drug_cd = "CEPACOL1"
|
mimicsql_data
|
CREATE TABLE table_name_39 (
crowd INTEGER,
away_team VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the size of the crowd for the game where the away team South Melbourne played?
|
SELECT AVG(crowd) FROM table_name_39 WHERE away_team = "south melbourne"
|
sql_create_context
|
CREATE TABLE procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
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
)
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 TABLE d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
CREATE TABLE d_items (
row_id number,
itemid number,
label text,
linksto text
)
CREATE TABLE chartevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label text
)
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 diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
CREATE TABLE transfers (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
eventtype text,
careunit text,
wardid number,
intime time,
outtime time
)
CREATE TABLE patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
CREATE TABLE labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what was the name of the lab test that patient 3125 first recieved on this hospital visit?
|
SELECT d_labitems.label FROM d_labitems WHERE d_labitems.itemid IN (SELECT labevents.itemid FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 3125 AND admissions.dischtime IS NULL) ORDER BY labevents.charttime LIMIT 1)
|
mimic_iii
|
CREATE TABLE table_13523 (
"School" text,
"Location" text,
"Mascot" text,
"Enrollment" real,
"IHSAA Class" text,
"# / County" text,
"Year Joined" real,
"Previous Conference" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What's the school that has an enrollment more than 441 with chargers as their mascot?
|
SELECT "School" FROM table_13523 WHERE "Enrollment" > '441' AND "Mascot" = 'chargers'
|
wikisql
|
CREATE TABLE table_name_93 (
opened_in INTEGER,
ride_name VARCHAR,
manufacture VARCHAR,
type VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the latest year a ride opened that was manufactured by Zamperla, was a convoy ride, and had a name of Tiny Truckers?
|
SELECT MAX(opened_in) FROM table_name_93 WHERE manufacture = "zamperla" AND type = "convoy ride" AND ride_name = "tiny truckers"
|
sql_create_context
|
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
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 ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
CREATE TABLE PostsWithDeleted (
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,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
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
)
CREATE TABLE Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE PostTypes (
Id number,
Name text
)
CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
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 ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE PostHistory (
Id number,
PostHistoryTypeId number,
PostId number,
RevisionGUID other,
CreationDate time,
UserId number,
UserDisplayName text,
Comment text,
Text text,
ContentLicense text
)
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
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,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE CloseAsOffTopicReasonTypes (
Id number,
IsUniversal boolean,
InputTitle text,
MarkdownInputGuidance text,
MarkdownPostOwnerGuidance text,
MarkdownPrivilegedUserGuidance text,
MarkdownConcensusDescription text,
CreationDate time,
CreationModeratorId number,
ApprovalDate time,
ApprovalModeratorId number,
DeactivationDate time,
DeactivationModeratorId number
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who downvoted me? The Sherlock Holmes approach.
|
SELECT p.Id, p.Body, a.* FROM Posts AS p INNER JOIN Posts AS a ON p.Id = a.ParentId WHERE p.Id = 30439064
|
sede
|
CREATE TABLE table_55509 (
"Stations" text,
"Place" text,
"Managed By" text,
"Platforms" real,
"Zone" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What would be the highest Platforms for the Centrale Tram Stop Stations?
|
SELECT MAX("Platforms") FROM table_55509 WHERE "Stations" = 'centrale tram stop'
|
wikisql
|
CREATE TABLE Addresses (
address_id INTEGER,
line_1_number_building VARCHAR(80),
city VARCHAR(50),
zip_postcode VARCHAR(20),
state_province_county VARCHAR(50),
country VARCHAR(50)
)
CREATE TABLE Customer_Orders (
order_id INTEGER,
customer_id INTEGER,
order_date DATETIME,
order_status_code VARCHAR(15)
)
CREATE TABLE Customers (
customer_id INTEGER,
payment_method_code VARCHAR(15),
customer_number VARCHAR(20),
customer_name VARCHAR(80),
customer_address VARCHAR(255),
customer_phone VARCHAR(80),
customer_email VARCHAR(80)
)
CREATE TABLE Customer_Address_History (
customer_id INTEGER,
address_id INTEGER,
date_from DATETIME,
date_to DATETIME
)
CREATE TABLE Products (
product_id INTEGER,
product_type_code VARCHAR(15),
product_name VARCHAR(80),
product_price DOUBLE
)
CREATE TABLE Order_Items (
order_item_id INTEGER,
order_id INTEGER,
product_id INTEGER,
order_quantity VARCHAR(80)
)
CREATE TABLE Contacts (
contact_id INTEGER,
customer_id INTEGER,
gender VARCHAR(1),
first_name VARCHAR(80),
last_name VARCHAR(50),
contact_phone VARCHAR(80)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Show the number of products with price higher than 1000 or lower than 500 for each product type code in a bar chart, rank x axis in descending order.
|
SELECT product_type_code, COUNT(product_type_code) FROM Products WHERE product_price > 1000 OR product_price < 500 GROUP BY product_type_code ORDER BY product_type_code DESC
|
nvbench
|
CREATE TABLE university (
School_ID int,
School text,
Location text,
Founded real,
Affiliation text,
Enrollment real,
Nickname text,
Primary_conference text
)
CREATE TABLE basketball_match (
Team_ID int,
School_ID int,
Team_Name text,
ACC_Regular_Season text,
ACC_Percent text,
ACC_Home text,
ACC_Road text,
All_Games text,
All_Games_Percent int,
All_Home text,
All_Road text,
All_Neutral text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Give me a bar chart for mean team id of each all home, and I want to display total number in asc order.
|
SELECT All_Home, AVG(Team_ID) FROM basketball_match GROUP BY All_Home ORDER BY AVG(Team_ID)
|
nvbench
|
CREATE TABLE directed_by (
id int,
msid int,
did int
)
CREATE TABLE company (
id int,
name text,
country_code varchar
)
CREATE TABLE movie (
mid int,
title text,
release_year int,
title_aka text,
budget text
)
CREATE TABLE classification (
id int,
msid int,
gid int
)
CREATE TABLE copyright (
id int,
msid int,
cid int
)
CREATE TABLE tv_series (
sid int,
title text,
release_year int,
num_of_seasons int,
num_of_episodes int,
title_aka text,
budget text
)
CREATE TABLE producer (
pid int,
gender text,
name text,
nationality text,
birth_city text,
birth_year int
)
CREATE TABLE written_by (
id int,
msid int,
wid int
)
CREATE TABLE writer (
wid int,
gender text,
name text,
nationality text,
birth_city text,
birth_year int
)
CREATE TABLE tags (
id int,
msid int,
kid int
)
CREATE TABLE genre (
gid int,
genre text
)
CREATE TABLE actor (
aid int,
gender text,
name text,
nationality text,
birth_city text,
birth_year int
)
CREATE TABLE cast (
id int,
msid int,
aid int,
role text
)
CREATE TABLE made_by (
id int,
msid int,
pid int
)
CREATE TABLE keyword (
id int,
keyword text
)
CREATE TABLE director (
did int,
gender text,
name text,
nationality text,
birth_city text,
birth_year int
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many companies participated in producing ' Camp X-Ray
|
SELECT COUNT(DISTINCT (company.name)) FROM company, copyright, movie WHERE copyright.cid = company.id AND movie.mid = copyright.msid AND movie.title = 'Camp X-Ray'
|
imdb
|
CREATE TABLE table_16010376_1 (
bullet_weight VARCHAR,
source VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the weight of the bullet used in a Remington?
|
SELECT bullet_weight FROM table_16010376_1 WHERE source = "Remington"
|
sql_create_context
|
CREATE TABLE table_test_23 (
"id" int,
"previous_mi" bool,
"anemia" bool,
"left_ventricular_ejection_fraction_lvef" int,
"tolerate_gadolinium_contrast_media" bool,
"renal_disease" bool,
"creatinine_clearance_cl" float,
"estimated_glomerular_filtration_rate_egfr" int,
"tolerate_magnetic_resonance_imaging" bool,
"chronic_inflammatory_disease" bool,
"platelet_count" float,
"thrombocytopenia" float,
"liver_disease" bool,
"evidence_of_hepatobiliary_disease" bool,
"kidney_disease" bool,
"hb" float,
"body_mass_index_bmi" float,
"age" float,
"NOUSE" float
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- severe renal failure ( creatinine > 250 mmol / l )
|
SELECT * FROM table_test_23 WHERE renal_disease = 1 OR creatinine_clearance_cl > 250
|
criteria2sql
|
CREATE TABLE table_57244 (
"NGC number" real,
"Object type" text,
"Constellation" text,
"Right ascension ( J2000 )" text,
"Declination ( J2000 )" text,
"Apparent magnitude" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Tell me the right ascensuon for object type of globular cluster and apparent magnitude of 8.5 and NGC number of 6273
|
SELECT "Right ascension ( J2000 )" FROM table_57244 WHERE "Object type" = 'globular cluster' AND "Apparent magnitude" = '8.5' AND "NGC number" = '6273'
|
wikisql
|
CREATE TABLE table_name_38 (
score VARCHAR,
date VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the score of the game on June 1?
|
SELECT score FROM table_name_38 WHERE date = "june 1"
|
sql_create_context
|
CREATE TABLE table_name_67 (
matches INTEGER,
overs VARCHAR,
economy_rate VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many matches were played that resulted in less than 59.1 overs and a 6.78 Economy rate?
|
SELECT SUM(matches) FROM table_name_67 WHERE overs < 59.1 AND economy_rate > 6.78
|
sql_create_context
|
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 text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
YLJGDM text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC 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,
JCZBJGDX text,
JCZBMC text,
JLDW text,
JYRQ time,
JYZBLSH text,
SBBM text,
SHRGH text,
SHRXM text,
YLJGDM text,
YQBH text,
YQMC text
)
CREATE TABLE hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
CREATE TABLE person_info (
CSD text,
CSRQ time,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
MZDM text,
MZMC text,
RYBH text,
XBDM number,
XBMC text,
XLDM text,
XLMC text,
XM text,
ZYLBDM text,
ZYMC text
)
CREATE TABLE zyjybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH number,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
JYKSBM text,
JYKSMC text,
JYLX number,
JYRQ time,
JYSQJGMC text,
JYXMDM text,
JYXMMC text,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM number,
YLJGDM_MZJZJLB text,
YLJGDM_ZYJZJLB text
)
CREATE TABLE mzjybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH number,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
JYKSBM text,
JYKSMC text,
JYLX number,
JYRQ time,
JYSQJGMC text,
JYXMDM text,
JYXMMC text,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM number,
YLJGDM_MZJZJLB text,
YLJGDM_ZYJZJLB text
)
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 text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TXBZ number,
TZ number,
WDBZ number,
XL number,
YLJGDM text,
ZSEBZ number,
ZZBZ number,
ZZYSGH text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 对应的检验报告单46227016809的就诊流水号是什么？
|
SELECT zyjybgb.JZLSH FROM zyjybgb WHERE zyjybgb.BGDH = '46227016809' UNION SELECT mzjybgb.JZLSH FROM mzjybgb WHERE mzjybgb.BGDH = '46227016809'
|
css
|
CREATE TABLE table_name_53 (
opponent VARCHAR,
date VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who did the Jays play on August 30?
|
SELECT opponent FROM table_name_53 WHERE date = "august 30"
|
sql_create_context
|
CREATE TABLE table_1601792_4 (
network VARCHAR,
television_station VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What are the network(s) for tv1?
|
SELECT network FROM table_1601792_4 WHERE television_station = "TV1"
|
sql_create_context
|
CREATE TABLE table_203_425 (
id number,
"season" number,
"driver" text,
"equipment" text,
"position" number,
"points" number,
"races" number,
"wins" number,
"second" number,
"third" number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- between 2009 and 2010 , which driver had the larger amount of points ?
|
SELECT "driver" FROM table_203_425 WHERE "season" IN (2009, 2010) ORDER BY "points" DESC LIMIT 1
|
squall
|
CREATE TABLE table_name_39 (
attendance INTEGER,
away_team VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the highest Attendance when the away team was Wrexham?
|
SELECT MAX(attendance) FROM table_name_39 WHERE away_team = "wrexham"
|
sql_create_context
|
CREATE TABLE PostsWithDeleted (
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,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
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,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
CREATE TABLE Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostHistory (
Id number,
PostHistoryTypeId number,
PostId number,
RevisionGUID other,
CreationDate time,
UserId number,
UserDisplayName text,
Comment text,
Text text,
ContentLicense text
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE CloseAsOffTopicReasonTypes (
Id number,
IsUniversal boolean,
InputTitle text,
MarkdownInputGuidance text,
MarkdownPostOwnerGuidance text,
MarkdownPrivilegedUserGuidance text,
MarkdownConcensusDescription text,
CreationDate time,
CreationModeratorId number,
ApprovalDate time,
ApprovalModeratorId number,
DeactivationDate time,
DeactivationModeratorId number
)
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 CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostTypes (
Id number,
Name text
)
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 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
)
CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Attempt at getting dupe/original combinations.
|
SELECT RelatedPostId AS "Original", q.Id AS "Dupe" FROM PostLinks JOIN Posts AS q ON q.Id = RelatedPostId WHERE LinkTypeId = 3
|
sede
|
CREATE TABLE table_27956_3 (
percentage_change_yoy VARCHAR,
institution VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the percentage change yoy for presbyterian college
|
SELECT percentage_change_yoy FROM table_27956_3 WHERE institution = "Presbyterian College"
|
sql_create_context
|
CREATE TABLE table_train_158 (
"id" int,
"systolic_blood_pressure_sbp" int,
"hemoglobin_a1c_hba1c" float,
"moca_score" int,
"diastolic_blood_pressure_dbp" int,
"body_mass_index_bmi" float,
"age" float,
"NOUSE" float
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- untreated systolic blood pressure > 150 mmhg and diastolic blood pressure > 90 mmhg
|
SELECT * FROM table_train_158 WHERE systolic_blood_pressure_sbp > 150 AND diastolic_blood_pressure_dbp > 90
|
criteria2sql
|
CREATE TABLE table_204_207 (
id number,
"week" number,
"date" text,
"opponent" text,
"result" text,
"attendance" number,
"bye" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- opponent for highest attended home game
|
SELECT "opponent" FROM table_204_207 WHERE "opponent" = 'home' ORDER BY "attendance" DESC LIMIT 1
|
squall
|
CREATE TABLE table_48540 (
"Gatchaman" text,
"Eagle Riders" text,
"Rank" text,
"Bird Uniform" text,
"Weapon" text,
"Mecha" text,
"Japanese voice actor" text,
"Voice actor (Eagle Riders)" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the weapon for the mecha of motorcycle?
|
SELECT "Weapon" FROM table_48540 WHERE "Mecha" = 'motorcycle'
|
wikisql
|
CREATE TABLE table_46701 (
"Class" text,
"Leading bits" real,
"Size of network number bit field" text,
"Size of rest bit field" text,
"Number of networks" text,
"Addresses per network" text,
"Start address" text,
"End address" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the size of the rest bit field when the leading bits are more than 110 and the start address is 224.0.0.0?
|
SELECT "Size of rest bit field" FROM table_46701 WHERE "Leading bits" > '110' AND "Start address" = '224.0.0.0'
|
wikisql
|
CREATE TABLE table_name_94 (
state VARCHAR,
major_city_served VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the greatest 2010 for Miami, Fl?
|
SELECT MAX(2010) FROM table_name_94 WHERE state = "fl" AND major_city_served = "miami"
|
sql_create_context
|
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE PostTypes (
Id number,
Name text
)
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
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 PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
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,
UserId number,
UserDisplayName text,
Comment text,
Text text,
ContentLicense text
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
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,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE CloseAsOffTopicReasonTypes (
Id number,
IsUniversal boolean,
InputTitle text,
MarkdownInputGuidance text,
MarkdownPostOwnerGuidance text,
MarkdownPrivilegedUserGuidance text,
MarkdownConcensusDescription text,
CreationDate time,
CreationModeratorId number,
ApprovalDate time,
ApprovalModeratorId number,
DeactivationDate time,
DeactivationModeratorId number
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
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
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE PostsWithDeleted (
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,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
CREATE TABLE Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
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 VoteTypes (
Id number,
Name text
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Count: New Users per Month.
|
SELECT MONTH(CreationDate), COUNT(Id) FROM Users WHERE YEAR(CreationDate) = '##Year##' GROUP BY MONTH(CreationDate) ORDER BY MONTH(CreationDate)
|
sede
|
CREATE TABLE table_25015 (
"English name" text,
"Georgian name" text,
"Transliteration" text,
"Date" text,
"Author" text,
"Period covered" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- who is the auther when the transliteration is lasha-giorgis droindeli matiane?
|
SELECT "Author" FROM table_25015 WHERE "Transliteration" = 'lasha-giorgis droindeli matiane'
|
wikisql
|
CREATE TABLE table_15621965_16 (
years_in_orlando VARCHAR,
school_club_team VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What years did the player who's school is Clemson spend in Orlando?
|
SELECT years_in_orlando FROM table_15621965_16 WHERE school_club_team = "Clemson"
|
sql_create_context
|
CREATE TABLE table_53723 (
"Year" real,
"Theme" text,
"Face Values" text,
"Artist" text,
"Issue Price" text,
"Mintage" real,
"Finish" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- In the Endangered Wildlife Series from the Royal Canadian Mint numismatic coins printed in the 2000s, what theme had a mintage of 700?
|
SELECT "Theme" FROM table_53723 WHERE "Mintage" = '700'
|
wikisql
|
CREATE TABLE table_203_425 (
id number,
"season" number,
"driver" text,
"equipment" text,
"position" number,
"points" number,
"races" number,
"wins" number,
"second" number,
"third" number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- did willemsen or stelle finish with the most points in the 2001-2013 driving season ?
|
SELECT "driver" FROM table_203_425 WHERE "driver" IN ('daniel willemsen', 'modris stelle') GROUP BY "driver" ORDER BY SUM("points") DESC LIMIT 1
|
squall
|
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
)
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 (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- give me the number of patients whose admission year is less than 2180 and diagnoses long title is other alteration of consciousness?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admityear < "2180" AND diagnoses.long_title = "Other alteration of consciousness"
|
mimicsql_data
|
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 TABLE d_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label text
)
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name 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 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 patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
CREATE TABLE chartevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE d_items (
row_id number,
itemid number,
label text,
linksto text
)
CREATE TABLE transfers (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
eventtype text,
careunit text,
wardid number,
intime time,
outtime time
)
CREATE TABLE diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value number
)
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
)
CREATE TABLE procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the maximum total cost of hospitals that include comp-oth vasc dev/graft since 1 year ago?
|
SELECT MAX(t1.c1) FROM (SELECT SUM(cost.cost) AS c1 FROM cost WHERE cost.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 = 'comp-oth vasc dev/graft')) AND DATETIME(cost.chargetime) >= DATETIME(CURRENT_TIME(), '-1 year') GROUP BY cost.hadm_id) AS t1
|
mimic_iii
|
CREATE TABLE table_name_77 (
hindu VARCHAR,
us__1912_ VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- In 1912 when the U.S used sapphire, what was the Hindu birthstone?
|
SELECT hindu FROM table_name_77 WHERE us__1912_ = "sapphire"
|
sql_create_context
|
CREATE TABLE table_26782 (
"Railroad" text,
"Game Cost" text,
"Real-Life Years of Operation" text,
"Real-Life Eventual Outcome" text,
"Currently\u00b9 Part Of..." text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the game coast for chicago and north western
|
SELECT "Game Cost" FROM table_26782 WHERE "Railroad" = 'Chicago and North Western'
|
wikisql
|
CREATE TABLE table_name_81 (
stadium VARCHAR,
team VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the stadium for akovec?
|
SELECT stadium FROM table_name_81 WHERE team = "čakovec"
|
sql_create_context
|
CREATE TABLE comment_instructor (
instructor_id int,
student_id int,
score int,
comment_text 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,
predicted_graduation_semester int,
degree varchar,
minor varchar,
internship varchar
)
CREATE TABLE student_record (
student_id int,
course_id int,
semester int,
grade varchar,
how varchar,
transfer_source varchar,
earn_credit varchar,
repeat_term varchar,
test_id varchar
)
CREATE TABLE course_tags_count (
course_id int,
clear_grading int,
pop_quiz int,
group_projects int,
inspirational int,
long_lectures int,
extra_credit int,
few_tests int,
good_feedback int,
tough_tests int,
heavy_papers int,
cares_for_students int,
heavy_assignments int,
respected int,
participation int,
heavy_reading int,
tough_grader int,
hilarious int,
would_take_again int,
good_lecture int,
no_skip int
)
CREATE TABLE program_requirement (
program_id int,
category varchar,
min_credit int,
additional_req varchar
)
CREATE TABLE course (
course_id int,
name varchar,
department varchar,
number varchar,
credits varchar,
advisory_requirement varchar,
enforced_requirement varchar,
description varchar,
num_semesters int,
num_enrolled int,
has_discussion varchar,
has_lab varchar,
has_projects varchar,
has_exams varchar,
num_reviews int,
clarity_score int,
easiness_score int,
helpfulness_score int
)
CREATE TABLE requirement (
requirement_id int,
requirement varchar,
college varchar
)
CREATE TABLE semester (
semester_id int,
semester varchar,
year int
)
CREATE TABLE gsi (
course_offering_id int,
student_id int
)
CREATE TABLE jobs (
job_id int,
job_title varchar,
description varchar,
requirement varchar,
city varchar,
state varchar,
country varchar,
zip int
)
CREATE TABLE course_prerequisite (
pre_course_id int,
course_id int
)
CREATE TABLE ta (
campus_job_id int,
student_id int,
location varchar
)
CREATE TABLE course_offering (
offering_id int,
course_id int,
semester int,
section_number int,
start_time time,
end_time time,
monday varchar,
tuesday varchar,
wednesday varchar,
thursday varchar,
friday varchar,
saturday varchar,
sunday varchar,
has_final_project varchar,
has_final_exam varchar,
textbook varchar,
class_address varchar,
allow_audit varchar
)
CREATE TABLE program (
program_id int,
name varchar,
college varchar,
introduction varchar
)
CREATE TABLE offering_instructor (
offering_instructor_id int,
offering_id int,
instructor_id int
)
CREATE TABLE area (
course_id int,
area varchar
)
CREATE TABLE instructor (
instructor_id int,
name varchar,
uniqname varchar
)
CREATE TABLE program_course (
program_id int,
course_id int,
workload int,
category varchar
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who is the instructor for HBEHED 600 next semester ?
|
SELECT DISTINCT instructor.name FROM instructor INNER JOIN offering_instructor ON offering_instructor.instructor_id = instructor.instructor_id INNER JOIN course_offering ON offering_instructor.offering_id = course_offering.offering_id INNER JOIN course ON course.course_id = course_offering.course_id INNER JOIN semester ON semester.semester_id = course_offering.semester WHERE course.department = 'HBEHED' AND course.number = 600 AND semester.semester = 'FA' AND semester.year = 2016
|
advising
|
CREATE TABLE station (
name VARCHAR,
total_passengers VARCHAR,
LOCATION VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Show the names and total passengers for all train stations not in London.
|
SELECT name, total_passengers FROM station WHERE LOCATION <> 'London'
|
sql_create_context
|
CREATE TABLE university (
School_ID int,
School text,
Location text,
Founded real,
Affiliation text,
Enrollment real,
Nickname text,
Primary_conference text
)
CREATE TABLE basketball_match (
Team_ID int,
School_ID int,
Team_Name text,
ACC_Regular_Season text,
ACC_Percent text,
ACC_Home text,
ACC_Road text,
All_Games text,
All_Games_Percent int,
All_Home text,
All_Road text,
All_Neutral text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Draw a scatter chart about the correlation between ACC_Percent and All_Games_Percent , and group by attribute ACC_Regular_Season.
|
SELECT ACC_Percent, All_Games_Percent FROM basketball_match GROUP BY ACC_Regular_Season
|
nvbench
|
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
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,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
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,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- when did patient 033-22108 have the vascular 3 flush amount (ml) intake on the current intensive care unit visit for the last time?
|
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 = '033-22108') AND patient.unitdischargetime IS NULL) AND intakeoutput.cellpath LIKE '%intake%' AND intakeoutput.celllabel = 'vascular 3 flush amount (ml)' ORDER BY intakeoutput.intakeoutputtime DESC LIMIT 1
|
eicu
|
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 tables provided above.
-- Give me a histogram for what are the names and total prices of all products in the store?, could you order in ascending by the x axis?
|
SELECT Name, SUM(Price) FROM Products GROUP BY Name ORDER BY Name
|
nvbench
|
CREATE TABLE faculty (
campus number,
year number,
faculty number
)
CREATE TABLE campuses (
id number,
campus text,
location text,
county text,
year number
)
CREATE TABLE enrollments (
campus number,
year number,
totalenrollment_ay number,
fte_ay number
)
CREATE TABLE degrees (
year number,
campus number,
degrees number
)
CREATE TABLE csu_fees (
campus number,
year number,
campusfee number
)
CREATE TABLE discipline_enrollments (
campus number,
discipline number,
year number,
undergraduate number,
graduate number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the average fee for a CSU campus in the year of 2005?
|
SELECT AVG(campusfee) FROM csu_fees WHERE year = 2005
|
spider
|
CREATE TABLE table_name_93 (
total VARCHAR,
player VARCHAR,
to_par VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the total number that Tom Watson parred larger than 10?
|
SELECT COUNT(total) FROM table_name_93 WHERE player = "tom watson" AND to_par > 10
|
sql_create_context
|
CREATE TABLE t_kc22 (
AMOUNT number,
CHA_ITEM_LEV number,
DATA_ID text,
DIRE_TYPE number,
DOSE_FORM text,
DOSE_UNIT text,
EACH_DOSAGE text,
EXP_OCC_DATE time,
FLX_MED_ORG_ID text,
FXBZ number,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
MED_CLINIC_ID text,
MED_DIRE_CD text,
MED_DIRE_NM text,
MED_EXP_BILL_ID text,
MED_EXP_DET_ID text,
MED_INV_ITEM_TYPE text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_SELF_AMO number,
PRESCRIPTION_CODE text,
PRESCRIPTION_ID text,
QTY number,
RECIPE_BILL_ID text,
REF_STA_FLG number,
REIMBURS_TYPE number,
REMOTE_SETTLE_FLG text,
RER_SOL number,
SELF_PAY_AMO number,
SELF_PAY_PRO number,
SOC_SRT_DIRE_CD text,
SOC_SRT_DIRE_NM text,
SPEC text,
STA_DATE time,
STA_FLG number,
SYNC_TIME time,
TRADE_TYPE number,
UNIVALENT number,
UP_LIMIT_AMO number,
USE_FRE text,
VAL_UNIT text
)
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,
FLX_MED_ORG_ID text,
ILL_PAY number,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
LAS_OVE_PAY number,
MED_AMOUT number,
MED_CLINIC_ID text,
MED_SAFE_PAY_ID text,
MED_TYPE number,
OLDC_FUND_PAY number,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_ADD_PAY number,
OVE_PAY number,
PERSON_ID text,
PER_ACC_PAY number,
PER_EXP number,
PER_SOL number,
RECEIVER_DEAL_ID text,
RECEIVER_OFFSET_ID text,
RECEIVER_REVOKE_ID text,
RECIPE_BILL_ID text,
REF_SLT_FLG number,
REIMBURS_FLG number,
SENDER_DEAL_ID text,
SENDER_OFFSET_ID text,
SENDER_REVOKE_ID text,
SPE_FUND_PAY number,
SUP_ADD_PAY number,
SYNC_TIME time,
TRADE_TYPE number,
t_kc21_CLINIC_ID text,
t_kc21_CLINIC_TYPE text,
t_kc21_COMP_ID text,
t_kc21_DATA_ID text,
t_kc21_DIFF_PLACE_FLG number,
t_kc21_FERTILITY_STS number,
t_kc21_FLX_MED_ORG_ID text,
t_kc21_HOSP_LEV number,
t_kc21_HOSP_STS number,
t_kc21_IDENTITY_CARD text,
t_kc21_INPT_AREA_BED text,
t_kc21_INSURED_IDENTITY number,
t_kc21_INSURED_STS text,
t_kc21_INSU_TYPE text,
t_kc21_IN_DIAG_DIS_CD text,
t_kc21_IN_DIAG_DIS_NM text,
t_kc21_IN_HOSP_DATE time,
t_kc21_IN_HOSP_DAYS number,
t_kc21_MAIN_COND_DES text,
t_kc21_MED_AMOUT number,
t_kc21_MED_ORG_DEPT_CD text,
t_kc21_MED_ORG_DEPT_NM text,
t_kc21_MED_SER_ORG_NO text,
t_kc21_MED_TYPE number,
t_kc21_OUT_DIAG_DIS_CD text,
t_kc21_OUT_DIAG_DIS_NM text,
t_kc21_OUT_DIAG_DOC_CD text,
t_kc21_OUT_DIAG_DOC_NM text,
t_kc21_OUT_HOSP_DATE time,
t_kc21_OVERALL_CD_ORG text,
t_kc21_OVERALL_CD_PERSON text,
t_kc21_PERSON_AGE number,
t_kc21_PERSON_ID text,
t_kc21_PERSON_NM text,
t_kc21_PERSON_SEX number,
t_kc21_REIMBURSEMENT_FLG number,
t_kc21_REMOTE_SETTLE_FLG text,
t_kc21_SERVANT_FLG text,
t_kc21_SOC_SRT_CARD text,
t_kc21_SYNC_TIME time,
t_kc21_TRADE_TYPE number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 在09年1月4日至2012年6月1日之中医疗机构2157657的医疗费之和是多少钱？
|
SELECT SUM(t_kc24.MED_AMOUT) FROM t_kc24 WHERE t_kc24.t_kc21_MED_SER_ORG_NO = '2157657' AND t_kc24.CLINIC_SLT_DATE BETWEEN '2009-01-04' AND '2012-06-01'
|
css
|
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 text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
YLJGDM text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
CREATE TABLE person_info (
CSD text,
CSRQ time,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
MZDM text,
MZMC text,
RYBH text,
XBDM number,
XBMC text,
XLDM text,
XLMC text,
XM text,
ZYLBDM text,
ZYMC text
)
CREATE TABLE txmzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH number,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
KH text,
KLX number,
MJZH text,
ML number,
MZZYZDZZBM text,
MZZYZDZZMC text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TZ number,
WDBZ number,
XL number,
YLJGDM number,
ZSEBZ number,
ZZBZ number,
ZZYSGH text
)
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,
JCZBJGDX text,
JCZBMC text,
JLDW text,
JYRQ time,
JYZBLSH text,
SBBM text,
SHRGH text,
SHRXM text,
YLJGDM text,
YQBH text,
YQMC text
)
CREATE TABLE ftxmzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH number,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
KH text,
KLX number,
MJZH text,
ML number,
MZZYZDZZBM text,
MZZYZDZZMC text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TZ number,
WDBZ number,
XL number,
YLJGDM number,
ZSEBZ number,
ZZBZ number,
ZZYSGH text
)
CREATE TABLE jybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH text,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
JYKSBM text,
JYKSMC text,
JYLX number,
JYRQ time,
JYSQJGMC text,
JYXMDM text,
JYXMMC text,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM text,
YLJGDM_MZJZJLB text,
YLJGDM_ZYJZJLB text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 1552619医疗机构在二零零五年四月十七到二零一九年十二月十一期间共有多少转诊门诊的就诊记录
|
SELECT COUNT(*) FROM txmzjzjlb WHERE txmzjzjlb.YLJGDM = '1552619' AND txmzjzjlb.JZKSRQ BETWEEN '2005-04-17' AND '2019-12-11' AND txmzjzjlb.ZZBZ > 0 UNION SELECT COUNT(*) FROM ftxmzjzjlb WHERE ftxmzjzjlb.YLJGDM = '1552619' AND ftxmzjzjlb.JZKSRQ BETWEEN '2005-04-17' AND '2019-12-11' AND ftxmzjzjlb.ZZBZ > 0
|
css
|
CREATE TABLE table_48155 (
"Portfolio" text,
"Minister" text,
"Took office" text,
"Left office" text,
"Party" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which party was Andrea Ronchi from?
|
SELECT "Party" FROM table_48155 WHERE "Minister" = 'andrea ronchi'
|
wikisql
|
CREATE TABLE diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE chartevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
CREATE TABLE d_icd_diagnoses (
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_labitems (
row_id number,
itemid number,
label 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 transfers (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
eventtype text,
careunit text,
wardid number,
intime time,
outtime time
)
CREATE TABLE d_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime 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
)
CREATE TABLE labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE d_items (
row_id number,
itemid number,
label text,
linksto text
)
CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
CREATE TABLE patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
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 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how much labetalol was last prescribed to patient 99205 in 12/2102 dosage?
|
SELECT prescriptions.dose_val_rx FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 99205) AND prescriptions.drug = 'labetalol' AND STRFTIME('%y-%m', prescriptions.startdate) = '2102-12' ORDER BY prescriptions.startdate DESC LIMIT 1
|
mimic_iii
|
CREATE TABLE table_48000 (
"Place" text,
"Player" text,
"Country" text,
"Score" text,
"To par" text,
"Money ( $ )" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which country has a score of 71-72-73-69=285?
|
SELECT "Country" FROM table_48000 WHERE "Score" = '71-72-73-69=285'
|
wikisql
|
CREATE TABLE table_73581 (
"No. in Series" real,
"No. in Season" real,
"Title" text,
"Directed by" text,
"Written by" text,
"Original air date" text,
"U.S. viewers (millions)" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What's the name of the episode seen by 9.63 millions of people in the US, whose director is Laura Innes?
|
SELECT "Title" FROM table_73581 WHERE "Directed by" = 'Laura Innes' AND "U.S. viewers (millions)" = '9.63'
|
wikisql
|
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 text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TXBZ number,
TZ number,
WDBZ number,
XL number,
YLJGDM text,
ZSEBZ number,
ZZBZ number,
ZZYSGH text
)
CREATE TABLE jybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH text,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
JYKSBM text,
JYKSMC text,
JYLX number,
JYRQ time,
JYSQJGMC text,
JYXMDM text,
JYXMMC text,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM text,
YLJGDM_MZJZJLB text,
YLJGDM_ZYJZJLB text
)
CREATE TABLE person_info_hz_info (
RYBH text,
KH number,
KLX number,
YLJGDM number
)
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 text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
YLJGDM text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
CREATE TABLE hz_info (
KH text,
KLX number,
YLJGDM text
)
CREATE TABLE person_info (
CSD text,
CSRQ time,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
MZDM text,
MZMC text,
RYBH text,
XBDM number,
XBMC text,
XLDM text,
XLMC text,
XM text,
ZYLBDM text,
ZYMC 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,
JCZBJGDX text,
JCZBMC text,
JLDW text,
JYRQ time,
JYZBLSH text,
SBBM text,
SHRGH text,
SHRXM text,
YLJGDM text,
YQBH text,
YQMC text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 病人许乐心在门诊诊断为慢性胃溃疡的茶碱的结果定量还有单位分别为什么？
|
SELECT jyjgzbb.JCZBJGDL, jyjgzbb.JCZBJGDW FROM person_info JOIN hz_info JOIN mzjzjlb JOIN jybgb JOIN jyjgzbb JOIN person_info_hz_info ON person_info.RYBH = person_info_hz_info.RYBH AND 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 AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH AND person_info_hz_info.KH = hz_info.KH AND person_info_hz_info.KLX = hz_info.KLX AND person_info_hz_info.YLJGDM = hz_info.YLJGDM AND person_info_hz_info.YLJGDM = hz_info.YLJGDM AND person_info_hz_info.KH = hz_info.KH AND person_info_hz_info.KLX = hz_info.KLX AND person_info_hz_info.YLJGDM = hz_info.YLJGDM AND person_info_hz_info.KH = hz_info.KH AND person_info_hz_info.KLX = hz_info.KLX WHERE mzjzjlb.JZZDSM = '慢性胃溃疡' AND person_info.XM = '许乐心' AND jyjgzbb.JCZBMC = '茶碱'
|
css
|
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