instruction
stringlengths 151
7.46k
| output
stringlengths 2
4.44k
| source
stringclasses 26
values |
|---|---|---|
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 the comparison about the sum of School_ID over the ACC_Road , and group by attribute ACC_Road by a bar chart, and I want to show by the Y in ascending.
|
SELECT ACC_Road, SUM(School_ID) FROM basketball_match GROUP BY ACC_Road ORDER BY SUM(School_ID)
|
nvbench
|
CREATE TABLE table_203_52 (
id number,
"pos" text,
"no" number,
"driver" text,
"constructor" text,
"laps" number,
"time/retired" text,
"grid" number,
"points" number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how many cars spun off the track ?
|
SELECT COUNT("driver") FROM table_203_52 WHERE "time/retired" = 'spun off'
|
squall
|
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
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.
-- count the number of patients whose discharge location is disc-tran cancer/chldrn h and procedure short title is ins nondrug elut cor st?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.discharge_location = "DISC-TRAN CANCER/CHLDRN H" AND procedures.short_title = "Ins nondrug elut cor st"
|
mimicsql_data
|
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location 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 lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many of the patients admitted on phys referral/normal deli had a lab test for other body fluid?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admission_location = "PHYS REFERRAL/NORMAL DELI" AND lab.fluid = "Other Body Fluid"
|
mimicsql_data
|
CREATE TABLE table_53755 (
"Goal" real,
"Date" text,
"Score" text,
"Result" text,
"Competition" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the result for uncaf nations cup 2009 and 6 goal
|
SELECT "Result" FROM table_53755 WHERE "Competition" = 'uncaf nations cup 2009' AND "Goal" = '6'
|
wikisql
|
CREATE TABLE people (
Name VARCHAR,
People_ID VARCHAR
)
CREATE TABLE perpetrator (
People_ID VARCHAR,
Year VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- List the names of perpetrators in descending order of the year.
|
SELECT T1.Name FROM people AS T1 JOIN perpetrator AS T2 ON T1.People_ID = T2.People_ID ORDER BY T2.Year DESC
|
sql_create_context
|
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- provide the number of patients whose age is less than 83 and days of hospital stay is greater than 0?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.age < "83" AND demographic.days_stay > "0"
|
mimicsql_data
|
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,
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 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 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_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
)
CREATE TABLE mzjzjlb_jybgb (
YLJGDM_MZJZJLB text,
BGDH number,
YLJGDM number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 请提供云秀美这位病患从17.9.12起，截止到20.12.29期间就诊医生数
|
SELECT COUNT(mzjzjlb.ZZYSGH) FROM person_info JOIN hz_info JOIN mzjzjlb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX WHERE person_info.XM = '云秀美' AND mzjzjlb.JZKSRQ BETWEEN '2017-09-12' AND '2020-12-29'
|
css
|
CREATE TABLE table_name_18 (
opponent VARCHAR,
date VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who was the game played against on October 9, 1966?
|
SELECT opponent FROM table_name_18 WHERE date = "october 9, 1966"
|
sql_create_context
|
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 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,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text,
zyjzjlb_id number
)
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 hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM 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
)
CREATE TABLE hz_info_zyjzjlb (
JZLSH number,
YLJGDM number,
zyjzjlb_id number
)
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.
-- 门诊诊断的患者患有疾病J44.682的籍贯代码是多少以及名称叫什么和相应人数是多少？
|
SELECT person_info.JGDM, person_info.JGMC, COUNT(person_info.RYBH) FROM person_info JOIN hz_info JOIN mzjzjlb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX WHERE mzjzjlb.JZZDBM = 'J44.682' GROUP BY person_info.JGDM
|
css
|
CREATE TABLE table_name_40 (
Id VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is 2011, when 2008 is '2R'?
|
SELECT 2011 FROM table_name_40 WHERE 2008 = "2r"
|
sql_create_context
|
CREATE TABLE table_name_21 (
event VARCHAR,
name VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What event had Xu Zhilin competing?
|
SELECT event FROM table_name_21 WHERE name = "xu zhilin"
|
sql_create_context
|
CREATE TABLE table_name_71 (
home_team VARCHAR,
crowd INTEGER
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who was the home team when the crowd was larger than 13,557?
|
SELECT home_team FROM table_name_71 WHERE crowd > 13 OFFSET 557
|
sql_create_context
|
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 microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
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 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
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- had patient 011-49193 received during this year a laxatives - doss (colace) procedure?
|
SELECT COUNT(*) > 0 FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '011-49193')) AND treatment.treatmentname = 'laxatives - doss (colace)' AND DATETIME(treatment.treatmenttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')
|
eicu
|
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
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 jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
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)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- For those employees who did not have any job in the past, a bar chart shows the distribution of hire_date and the average of department_id bin hire_date by weekday, and show from low to high by the the average of department id.
|
SELECT HIRE_DATE, AVG(DEPARTMENT_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) ORDER BY AVG(DEPARTMENT_ID)
|
nvbench
|
CREATE TABLE table_name_8 (
event VARCHAR,
method VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- In what event was the technical decision (split) method used?
|
SELECT event FROM table_name_8 WHERE method = "technical decision (split)"
|
sql_create_context
|
CREATE TABLE Apartment_Facilities (
apt_id INTEGER,
facility_code CHAR(15)
)
CREATE TABLE Apartments (
apt_id INTEGER,
building_id INTEGER,
apt_type_code CHAR(15),
apt_number CHAR(10),
bathroom_count INTEGER,
bedroom_count INTEGER,
room_count CHAR(5)
)
CREATE TABLE Apartment_Buildings (
building_id INTEGER,
building_short_name CHAR(15),
building_full_name VARCHAR(80),
building_description VARCHAR(255),
building_address VARCHAR(255),
building_manager VARCHAR(50),
building_phone VARCHAR(80)
)
CREATE TABLE Guests (
guest_id INTEGER,
gender_code CHAR(1),
guest_first_name VARCHAR(80),
guest_last_name VARCHAR(80),
date_of_birth DATETIME
)
CREATE TABLE View_Unit_Status (
apt_id INTEGER,
apt_booking_id INTEGER,
status_date DATETIME,
available_yn BIT
)
CREATE TABLE Apartment_Bookings (
apt_booking_id INTEGER,
apt_id INTEGER,
guest_id INTEGER,
booking_status_code CHAR(15),
booking_start_date DATETIME,
booking_end_date DATETIME
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Return the apartment number and the number of rooms for each apartment by a bar chart, and list from high to low by the x-axis.
|
SELECT apt_number, room_count FROM Apartments ORDER BY apt_number DESC
|
nvbench
|
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
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 job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
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 countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, find job_id and the average of employee_id , and group by attribute job_id, and visualize them by a bar chart.
|
SELECT JOB_ID, AVG(EMPLOYEE_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 GROUP BY JOB_ID
|
nvbench
|
CREATE TABLE comment_instructor (
instructor_id int,
student_id int,
score int,
comment_text varchar
)
CREATE TABLE instructor (
instructor_id int,
name varchar,
uniqname varchar
)
CREATE TABLE gsi (
course_offering_id int,
student_id int
)
CREATE TABLE ta (
campus_job_id int,
student_id int,
location 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 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 jobs (
job_id int,
job_title varchar,
description varchar,
requirement varchar,
city varchar,
state varchar,
country varchar,
zip int
)
CREATE TABLE program_requirement (
program_id int,
category varchar,
min_credit int,
additional_req varchar
)
CREATE TABLE offering_instructor (
offering_instructor_id int,
offering_id int,
instructor_id int
)
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_course (
program_id int,
course_id int,
workload int,
category varchar
)
CREATE TABLE requirement (
requirement_id int,
requirement varchar,
college varchar
)
CREATE TABLE area (
course_id int,
area varchar
)
CREATE TABLE program (
program_id int,
name varchar,
college varchar,
introduction varchar
)
CREATE TABLE course_prerequisite (
pre_course_id int,
course_id int
)
CREATE TABLE 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 semester (
semester_id int,
semester varchar,
year int
)
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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Each week , how many lectures does SURVMETH 742 have ?
|
SELECT (SELECT SUM(CASE WHEN DERIVED_TABLEalias0.FRIDAY = 'Y' THEN 1 ELSE 0 END) + SUM(CASE WHEN DERIVED_TABLEalias0.MONDAY = 'Y' THEN 1 ELSE 0 END) + SUM(CASE WHEN DERIVED_TABLEalias0.SATURDAY = 'Y' THEN 1 ELSE 0 END) + SUM(CASE WHEN DERIVED_TABLEalias0.SUNDAY = 'Y' THEN 1 ELSE 0 END) + SUM(CASE WHEN DERIVED_TABLEalias0.THURSDAY = 'Y' THEN 1 ELSE 0 END) + SUM(CASE WHEN DERIVED_TABLEalias0.TUESDAY = 'Y' THEN 1 ELSE 0 END) + DERIVED_FIELDalias6 FROM (SELECT SUM(CASE WHEN DERIVED_TABLEalias0.FRIDAY = 'Y' THEN 1 ELSE 0 END), SUM(CASE WHEN DERIVED_TABLEalias0.MONDAY = 'Y' THEN 1 ELSE 0 END), SUM(CASE WHEN DERIVED_TABLEalias0.SATURDAY = 'Y' THEN 1 ELSE 0 END), SUM(CASE WHEN DERIVED_TABLEalias0.SUNDAY = 'Y' THEN 1 ELSE 0 END), SUM(CASE WHEN DERIVED_TABLEalias0.THURSDAY = 'Y' THEN 1 ELSE 0 END), SUM(CASE WHEN DERIVED_TABLEalias0.TUESDAY = 'Y' THEN 1 ELSE 0 END), SUM(CASE WHEN DERIVED_TABLEalias0.WEDNESDAY = 'Y' THEN 1 ELSE 0 END), COURSE_OFFERING, SEMESTER WHERE COURSEalias0.COURSE_ID = COURSE_OFFERING.COURSE_ID AND COURSEalias0.DEPARTMENT = 'SURVMETH' AND COURSEalias0.NUMBER = 742 AND SEMESTER.SEMESTER = 'WN' AND SEMESTER.SEMESTER_ID = COURSE_OFFERING.SEMESTER AND SEMESTER.YEAR = 2016 LIMIT 1) AS DERIVED_TABLEalias0) AS DERIVED_TABLEalias1
|
advising
|
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 ta (
campus_job_id int,
student_id int,
location varchar
)
CREATE TABLE gsi (
course_offering_id int,
student_id int
)
CREATE TABLE requirement (
requirement_id int,
requirement varchar,
college varchar
)
CREATE TABLE area (
course_id int,
area 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 course_prerequisite (
pre_course_id int,
course_id int
)
CREATE TABLE program_course (
program_id int,
course_id int,
workload int,
category 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 program_requirement (
program_id int,
category varchar,
min_credit int,
additional_req varchar
)
CREATE TABLE jobs (
job_id int,
job_title varchar,
description varchar,
requirement varchar,
city varchar,
state varchar,
country varchar,
zip int
)
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 offering_instructor (
offering_instructor_id int,
offering_id int,
instructor_id int
)
CREATE TABLE comment_instructor (
instructor_id int,
student_id int,
score int,
comment_text varchar
)
CREATE TABLE instructor (
instructor_id int,
name varchar,
uniqname 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 semester (
semester_id int,
semester varchar,
year int
)
CREATE TABLE program (
program_id int,
name varchar,
college varchar,
introduction varchar
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What classes do I have to take before I can take WOMENSTD 486 ?
|
SELECT DISTINCT COURSE_0.department, COURSE_0.name, COURSE_0.number FROM course AS COURSE_0, course AS COURSE_1, course_prerequisite WHERE COURSE_0.course_id = course_prerequisite.pre_course_id AND NOT COURSE_0.course_id IN (SELECT STUDENT_RECORDalias0.course_id FROM student_record AS STUDENT_RECORDalias0 WHERE STUDENT_RECORDalias0.student_id = 1) AND COURSE_1.course_id = course_prerequisite.course_id AND COURSE_1.department = 'WOMENSTD' AND COURSE_1.number = 486
|
advising
|
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 cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
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 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 icustays (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
first_careunit text,
last_careunit text,
first_wardid number,
last_wardid number,
intime time,
outtime time
)
CREATE TABLE chartevents (
row_id number,
subject_id number,
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 labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom 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 diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
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 procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label text
)
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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- when was first time the respiratory rate of patient 26799 was less than 18.0 on 09/20/last year?
|
SELECT chartevents.charttime FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 26799)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'respiratory rate' AND d_items.linksto = 'chartevents') AND chartevents.valuenum < 18.0 AND DATETIME(chartevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m-%d', chartevents.charttime) = '09-20' ORDER BY chartevents.charttime LIMIT 1
|
mimic_iii
|
CREATE TABLE table_5270 (
"Position" text,
"Race Number" real,
"Driver" text,
"Country" text,
"Laps" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what country is john nielsen from
|
SELECT "Country" FROM table_5270 WHERE "Driver" = 'john nielsen'
|
wikisql
|
CREATE TABLE table_23835213_2 (
undisclosed VARCHAR,
wycombe_wanderers VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the undisclosed when Aldertown is Aldershot Town and Wycombe Wanderers is Oxford United?
|
SELECT undisclosed FROM table_23835213_2 WHERE "aldershot_town" = "aldershot_town" AND wycombe_wanderers = "Oxford United"
|
sql_create_context
|
CREATE TABLE table_11677760_1 (
college VARCHAR,
player VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the college for the player damon bailey?
|
SELECT college FROM table_11677760_1 WHERE player = "Damon Bailey"
|
sql_create_context
|
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_jyjgzbb (
JYZBLSH number,
YLJGDM text,
jyjgzbb_id 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 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,
YQBH text,
YQMC text,
jyjgzbb_id number
)
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 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 列出检验报告单31259533225的所有检验指标的结果定性、代码、名称、结果定量、结果定量单位、参考值范围下限与上限分别是？
|
SELECT jyjgzbb.JCZBDM, jyjgzbb.JCZBMC, jyjgzbb.JCZBJGDX, jyjgzbb.JCZBJGDL, jyjgzbb.JCZBJGDW, jyjgzbb.CKZFWXX, jyjgzbb.CKZFWSX FROM jyjgzbb WHERE jyjgzbb.BGDH = '31259533225'
|
css
|
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 jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE 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)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
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)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- For those employees who do not work in departments with managers that have ids between 100 and 200, visualize a bar chart about the distribution of hire_date and the average of salary bin hire_date by weekday.
|
SELECT HIRE_DATE, AVG(SALARY) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200)
|
nvbench
|
CREATE TABLE table_name_42 (
attendance INTEGER,
opponent VARCHAR,
record VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the attendance of the game that has the opponent of The Nationals with a record of 68-51?
|
SELECT SUM(attendance) FROM table_name_42 WHERE opponent = "nationals" AND record = "68-51"
|
sql_create_context
|
CREATE TABLE table_name_86 (
laps INTEGER,
grid VARCHAR,
time VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- With a Grid less than 15, and a Time of +52.833, what is the highest number of Laps?
|
SELECT MAX(laps) FROM table_name_86 WHERE grid < 15 AND time = "+52.833"
|
sql_create_context
|
CREATE TABLE table_name_25 (
wins INTEGER,
country VARCHAR,
last_title VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Wins has a Country of new zealand and a Last title larger than 1968?
|
SELECT MIN(wins) FROM table_name_25 WHERE country = "new zealand" AND last_title > 1968
|
sql_create_context
|
CREATE TABLE table_name_50 (
wins INTEGER,
played VARCHAR,
goals_for VARCHAR,
losses VARCHAR,
goal_difference VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the lowest Wins, when Losses is less than 10, when Goal Difference is less than 46, when Goals is less than 63, and when Played is less than 30?
|
SELECT MIN(wins) FROM table_name_50 WHERE losses < 10 AND goal_difference < 46 AND goals_for < 63 AND played < 30
|
sql_create_context
|
CREATE TABLE table_77891 (
"Vehicle Numbers" text,
"Vehicle Types" text,
"Livery" text,
"Location" text,
"Status" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what status is the vehicle numbers of adb977554?
|
SELECT "Status" FROM table_77891 WHERE "Vehicle Numbers" = 'adb977554'
|
wikisql
|
CREATE TABLE table_204_477 (
id number,
"pos" number,
"no" number,
"driver" text,
"team" text,
"laps" number,
"time/retired" text,
"grid" number,
"points" number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how many drivers had at least 10 points ?
|
SELECT COUNT("driver") FROM table_204_477 WHERE "points" >= 10
|
squall
|
CREATE TABLE table_203_52 (
id number,
"pos" text,
"no" number,
"driver" text,
"constructor" text,
"laps" number,
"time/retired" text,
"grid" number,
"points" number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- who had the fastest lap time ?
|
SELECT "driver" FROM table_203_52 ORDER BY "time/retired" LIMIT 1
|
squall
|
CREATE TABLE table_name_15 (
bike VARCHAR,
laps VARCHAR,
grid VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which bike had fewer than 23 laps and a grid number of 4?
|
SELECT bike FROM table_name_15 WHERE laps < 23 AND grid = 4
|
sql_create_context
|
CREATE TABLE table_train_69 (
"id" int,
"systolic_blood_pressure_sbp" int,
"language" string,
"valvular_dysfunction" bool,
"heart_disease" bool,
"temperature" float,
"sepsis" bool,
"heart_rate" int,
"lipid_metabolism" bool,
"organ_failure" bool,
"NOUSE" float
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- lack of basic language skills in either english or kiswahili
|
SELECT * FROM table_train_69 WHERE language <> 'english' OR language <> 'kiswahili'
|
criteria2sql
|
CREATE TABLE table_1678 (
"Position" real,
"Team" text,
"Played" real,
"Won" real,
"Drawn" real,
"Lost" real,
"Goals For" real,
"Goals Against" real,
"Goal Average 1" text,
"Points 2" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the lowest value of Points 2 when the goal average is 1.50?
|
SELECT MIN("Points 2") FROM table_1678 WHERE "Goal Average 1" = '1.50'
|
wikisql
|
CREATE TABLE table_203_600 (
id number,
"rank" text,
"country" text,
"winners" number,
"runners-up" number,
"finals total" number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what country has the least finals totals ?
|
SELECT "country" FROM table_203_600 WHERE "finals total" = (SELECT MIN("finals total") FROM table_203_600)
|
squall
|
CREATE TABLE table_11419 (
"Name" text,
"Bodyweight" real,
"Snatch" real,
"Clean & jerk" real,
"Total (kg)" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which bodyweight has a Total (kg) of 145.0?
|
SELECT "Bodyweight" FROM table_11419 WHERE "Total (kg)" = '145.0'
|
wikisql
|
CREATE TABLE table_name_24 (
opponent VARCHAR,
record VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who was the opponent when the Washington Nationals had a record of 8-4?
|
SELECT opponent FROM table_name_24 WHERE record = "8-4"
|
sql_create_context
|
CREATE TABLE table_name_46 (
date__from_ VARCHAR,
name_of_system VARCHAR,
traction_type VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- On what date did the event begin that had a steam traction type and used the system named HSM (1883 1910) GT (1915 1922)?
|
SELECT date__from_ FROM table_name_46 WHERE name_of_system = "hsm (1883–1910) gt (1915–1922)" AND traction_type = "steam"
|
sql_create_context
|
CREATE TABLE table_name_34 (
date VARCHAR,
result VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What date was the game that resulted in L 30-27?
|
SELECT date FROM table_name_34 WHERE result = "l 30-27"
|
sql_create_context
|
CREATE TABLE table_name_23 (
tournament VARCHAR,
date VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What tournament took place on October 11, 2013?
|
SELECT tournament FROM table_name_23 WHERE date = "october 11, 2013"
|
sql_create_context
|
CREATE TABLE hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,
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 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 bdmzjzjlb (
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,
TXBZ number,
TZ number,
XL number,
YLJGDM number,
ZSEBZ number,
ZZBZ number,
ZZYSGH text
)
CREATE TABLE wdmzjzjlb (
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,
TXBZ number,
TZ number,
XL number,
YLJGDM number,
ZSEBZ number,
ZZBZ number,
ZZYSGH text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 18416093这个病人的检验报告结果指标均正常的有哪些？检验报告单号是什么
|
SELECT jybgb.BGDH FROM hz_info JOIN wdmzjzjlb JOIN jybgb ON hz_info.YLJGDM = wdmzjzjlb.YLJGDM AND hz_info.KH = wdmzjzjlb.KH AND hz_info.KLX = wdmzjzjlb.KLX AND wdmzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND wdmzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB WHERE hz_info.RYBH = '18416093' AND NOT jybgb.BGDH IN (SELECT jyjgzbb.BGDH FROM jyjgzbb WHERE jyjgzbb.JCZBJGDL < jyjgzbb.CKZFWXX OR jyjgzbb.JCZBJGDL > jyjgzbb.CKZFWSX) UNION SELECT jybgb.BGDH FROM hz_info JOIN bdmzjzjlb JOIN jybgb ON hz_info.YLJGDM = bdmzjzjlb.YLJGDM AND hz_info.KH = bdmzjzjlb.KH AND hz_info.KLX = bdmzjzjlb.KLX AND bdmzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND bdmzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB WHERE hz_info.RYBH = '18416093' AND NOT jybgb.BGDH IN (SELECT jyjgzbb.BGDH FROM jyjgzbb WHERE jyjgzbb.JCZBJGDL < jyjgzbb.CKZFWXX OR jyjgzbb.JCZBJGDL > jyjgzbb.CKZFWSX) UNION SELECT jybgb.BGDH 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 = '18416093' AND NOT jybgb.BGDH IN (SELECT jyjgzbb.BGDH FROM jyjgzbb WHERE jyjgzbb.JCZBJGDL < jyjgzbb.CKZFWXX OR jyjgzbb.JCZBJGDL > jyjgzbb.CKZFWSX)
|
css
|
CREATE TABLE table_58067 (
"Tournament" text,
"Winner" text,
"Runner-up" text,
"Score" text,
"Third Place" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the score for the tournament in Budapest?
|
SELECT "Score" FROM table_58067 WHERE "Tournament" = 'budapest'
|
wikisql
|
CREATE TABLE table_38687 (
"Type" text,
"Actual Exponent" text,
"Exp (biased)" text,
"Exponent field" text,
"Significand (fraction field)" text,
"Value" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What's the type of 0.0 value?
|
SELECT "Type" FROM table_38687 WHERE "Value" = '0.0'
|
wikisql
|
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
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 VoteTypes (
Id number,
Name text
)
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 PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId 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 PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE ReviewTaskResultTypes (
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 PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId 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 PostHistory (
Id number,
PostHistoryTypeId number,
PostId number,
RevisionGUID other,
CreationDate time,
UserId number,
UserDisplayName text,
Comment text,
Text text,
ContentLicense text
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE ReviewTaskStates (
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 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 PostTypes (
Id number,
Name text
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
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 Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Posts by a given user by displayname.
|
SELECT Posts.Id, Posts.Id AS "post_link" FROM Posts WHERE OwnerDisplayName = '##DisplayName##' AND PostTypeId = '##PostType##' ORDER BY Posts.CreationDate DESC
|
sede
|
CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE PostTypes (
Id number,
Name text
)
CREATE TABLE ReviewTaskTypes (
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 PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
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 CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId 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 Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId 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 FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostHistoryTypes (
Id number,
Name 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 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 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 PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId 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 ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
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 PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Usuarios con poder de voto a favor.
|
SELECT COUNT(*) AS Votantes FROM Users WHERE Reputation >= 15
|
sede
|
CREATE TABLE table_25906 (
"Episode" text,
"First broadcast" text,
"Seans team" text,
"Jons team" text,
"Scores" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the episode that had Jack Dee and Stacey Solomon on Sean's team?
|
SELECT "Episode" FROM table_25906 WHERE "Seans team" = 'Jack Dee and Stacey Solomon'
|
wikisql
|
CREATE TABLE table_42817 (
"Date" text,
"Home captain" text,
"Away captain" text,
"Venue" text,
"Result" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who was the Away captain that played on 12,13,14 Jun 1902 which resulted in a draw?
|
SELECT "Away captain" FROM table_42817 WHERE "Result" = 'draw' AND "Date" = '12,13,14 jun 1902'
|
wikisql
|
CREATE TABLE climber (
Climber_ID int,
Name text,
Country text,
Time text,
Points real,
Mountain_ID int
)
CREATE TABLE mountain (
Mountain_ID int,
Name text,
Height real,
Prominence real,
Range text,
Country text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- A bar chart for what are the number of the countries of mountains with height bigger than 5000?, order by the Y-axis in asc.
|
SELECT Country, COUNT(Country) FROM mountain WHERE Height > 5000 GROUP BY Country ORDER BY COUNT(Country)
|
nvbench
|
CREATE TABLE stadium (
ID int,
name text,
Capacity int,
City text,
Country text,
Opening_year int
)
CREATE TABLE record (
ID int,
Result text,
Swimmer_ID int,
Event_ID int
)
CREATE TABLE swimmer (
ID int,
name text,
Nationality text,
meter_100 real,
meter_200 text,
meter_300 text,
meter_400 text,
meter_500 text,
meter_600 text,
meter_700 text,
Time text
)
CREATE TABLE event (
ID int,
Name text,
Stadium_ID int,
Year text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Return a bar chart about the distribution of Nationality and the sum of ID , and group by attribute Nationality.
|
SELECT Nationality, SUM(ID) FROM swimmer GROUP BY Nationality
|
nvbench
|
CREATE TABLE table_name_44 (
country VARCHAR,
to_par VARCHAR,
player VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What country has to par E with Mark O'Meara?
|
SELECT country FROM table_name_44 WHERE to_par = "e" AND player = "mark o'meara"
|
sql_create_context
|
CREATE TABLE hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
CREATE TABLE mzjzjlb_jybgb (
YLJGDM_MZJZJLB text,
BGDH number,
YLJGDM number
)
CREATE TABLE jyjgzbb (
BGDH text,
BGRQ time,
CKZFWDX text,
CKZFWSX number,
CKZFWXX number,
JCFF text,
JCRGH text,
JCRXM text,
JCXMMC text,
JCZBDM text,
JCZBJGDL number,
JCZBJGDW 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 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 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 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_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.
-- 名叫李向彤的病人所有检验结果指标记录中的检测方法在11年12月4日到21年12月17日内都有哪些？
|
SELECT jyjgzbb.JCFF FROM person_info JOIN hz_info JOIN mzjzjlb JOIN jybgb JOIN jyjgzbb JOIN mzjzjlb_jybgb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX AND mzjzjlb.YLJGDM = mzjzjlb_jybgb.YLJGDM_MZJZJLB AND mzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH AND mzjzjlb_jybgb.YLJGDM = jybgb.YLJGDM AND mzjzjlb_jybgb.BGDH = jybgb.BGDH AND mzjzjlb_jybgb.YLJGDM = jybgb.YLJGDM AND mzjzjlb_jybgb.BGDH = jybgb.BGDH WHERE person_info.XM = '李向彤' AND jyjgzbb.JYRQ BETWEEN '2011-12-04' AND '2021-12-17' UNION SELECT jyjgzbb.JCFF FROM person_info JOIN hz_info JOIN zyjzjlb JOIN jybgb JOIN jyjgzbb ON person_info.RYBH = hz_info.RYBH AND 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 AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH WHERE person_info.XM = '李向彤' AND jyjgzbb.JYRQ BETWEEN '2011-12-04' AND '2021-12-17'
|
css
|
CREATE TABLE table_name_32 (
premiere VARCHAR,
the_biggest_loser VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the premiere date of the season won by Matt Hoover?
|
SELECT premiere FROM table_name_32 WHERE the_biggest_loser = "matt hoover"
|
sql_create_context
|
CREATE TABLE city (
city_code varchar,
city_name varchar,
state_code varchar,
country_name varchar,
time_zone_code varchar
)
CREATE TABLE month (
month_number int,
month_name text
)
CREATE TABLE equipment_sequence (
aircraft_code_sequence varchar,
aircraft_code varchar
)
CREATE TABLE compartment_class (
compartment varchar,
class_type varchar
)
CREATE TABLE state (
state_code text,
state_name text,
country_name text
)
CREATE TABLE date_day (
month_number int,
day_number int,
year int,
day_name varchar
)
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 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_fare (
flight_id int,
fare_id int
)
CREATE TABLE code_description (
code varchar,
description 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 dual_carrier (
main_airline varchar,
low_flight_number int,
high_flight_number int,
dual_airline varchar,
service_name text
)
CREATE TABLE days (
days_code varchar,
day_name varchar
)
CREATE TABLE class_of_service (
booking_class varchar,
rank int,
class_description 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 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 flight_leg (
flight_id int,
leg_number int,
leg_flight int
)
CREATE TABLE time_zone (
time_zone_code text,
time_zone_name text,
hours_from_gmt 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 airport_service (
city_code varchar,
airport_code varchar,
miles_distant int,
direction varchar,
minutes_distant int
)
CREATE TABLE ground_service (
city_code text,
airport_code text,
transport_type text,
ground_fare int
)
CREATE TABLE food_service (
meal_code text,
meal_number int,
compartment text,
meal_description varchar
)
CREATE TABLE time_interval (
period text,
begin_time int,
end_time int
)
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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- are there any AA flights flying into PITTSBURGH between 1200 and 1600 in the afternoon
|
SELECT DISTINCT flight.flight_id FROM airport_service, city, flight WHERE ((flight.arrival_time <= 1600 AND flight.arrival_time >= 1200) AND city.city_code = airport_service.city_code AND city.city_name = 'PITTSBURGH' AND flight.to_airport = airport_service.airport_code) AND flight.airline_code = 'AA'
|
atis
|
CREATE TABLE table_10526 (
"Rank" real,
"Nation" text,
"Gold" real,
"Silver" real,
"Bronze" real,
"Total" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the rank for the total less than 1?
|
SELECT AVG("Rank") FROM table_10526 WHERE "Total" < '1'
|
wikisql
|
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location 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 procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- find the number of patients diagnosed with ulcer of other part of foot who are on base type drug prescription.
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.long_title = "Ulcer of other part of foot" AND prescriptions.drug_type = "BASE"
|
mimicsql_data
|
CREATE TABLE table_name_79 (
crowd INTEGER,
home_team VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the lowest crowd with home team richmond?
|
SELECT MIN(crowd) FROM table_name_79 WHERE home_team = "richmond"
|
sql_create_context
|
CREATE TABLE table_49006 (
"Rank" text,
"Team" text,
"Run 1" text,
"Run 2" text,
"Run 3" text,
"Run 4" text,
"Final" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is Run 2, when Run 1 is 2:09.09?
|
SELECT "Run 2" FROM table_49006 WHERE "Run 1" = '2:09.09'
|
wikisql
|
CREATE TABLE phone_market (
Market_ID int,
Phone_ID text,
Num_of_stock int
)
CREATE TABLE market (
Market_ID int,
District text,
Num_of_employees int,
Num_of_shops real,
Ranking int
)
CREATE TABLE phone (
Name text,
Phone_ID int,
Memory_in_G int,
Carrier text,
Price real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- For each phone, show its names and total number of stocks Visualize by bar chart, and rank num of stock in descending order.
|
SELECT Name, SUM(T1.Num_of_stock) FROM phone_market AS T1 JOIN phone AS T2 ON T1.Phone_ID = T2.Phone_ID GROUP BY T2.Name ORDER BY SUM(T1.Num_of_stock) DESC
|
nvbench
|
CREATE TABLE table_26902 (
"Items" text,
"2008 - Q1" text,
"2008-Q2" text,
"2008-Q3" text,
"extrapol. 08" text,
"year 2007" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the year 2007 for 668 being 2008-q1
|
SELECT "year 2007" FROM table_26902 WHERE "2008 - Q1" = '668'
|
wikisql
|
CREATE TABLE table_1026 (
"Player" text,
"Position" text,
"Games started" text,
"Hometown" text,
"Height" text,
"Weight" real,
"Class" text,
"Previous experience" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many players are from Sioux City, Iowa?
|
SELECT COUNT("Player") FROM table_1026 WHERE "Hometown" = 'Sioux City, Iowa'
|
wikisql
|
CREATE TABLE table_name_42 (
team VARCHAR,
races VARCHAR,
position VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which teams had the 1st position and entered 1 race?
|
SELECT team FROM table_name_42 WHERE races = "1" AND position = "1st"
|
sql_create_context
|
CREATE TABLE table_204_427 (
id number,
"creature (other planes)" text,
"page" text,
"other appearances" text,
"variants" text,
"description" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the first creature -lrb- other planes -rrb- after page 40 ?
|
SELECT "creature (other planes)" FROM table_204_427 WHERE "page" > 40 ORDER BY id LIMIT 1
|
squall
|
CREATE TABLE table_59572 (
"Manufacturer" text,
"Model" text,
"Kit/Factory" text,
"Wing" text,
"Seats" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What Kit/Factory has a J250 model made by Jabiru?
|
SELECT "Kit/Factory" FROM table_59572 WHERE "Manufacturer" = 'jabiru' AND "Model" = 'j250'
|
wikisql
|
CREATE TABLE table_name_29 (
mwehl_team VARCHAR,
player VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which MWEHL team has player Ben Johnson?
|
SELECT mwehl_team FROM table_name_29 WHERE player = "ben johnson"
|
sql_create_context
|
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 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 instructor (
instructor_id int,
name varchar,
uniqname varchar
)
CREATE TABLE ta (
campus_job_id int,
student_id int,
location 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 semester (
semester_id int,
semester varchar,
year int
)
CREATE TABLE area (
course_id int,
area 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 offering_instructor (
offering_instructor_id int,
offering_id int,
instructor_id int
)
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 course_prerequisite (
pre_course_id int,
course_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 requirement (
requirement_id int,
requirement varchar,
college varchar
)
CREATE TABLE comment_instructor (
instructor_id int,
student_id int,
score int,
comment_text varchar
)
CREATE TABLE program_course (
program_id int,
course_id int,
workload int,
category varchar
)
CREATE TABLE program_requirement (
program_id int,
category varchar,
min_credit int,
additional_req varchar
)
CREATE TABLE gsi (
course_offering_id int,
student_id int
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which courses are worth 14 credits ?
|
SELECT DISTINCT name, number FROM course WHERE credits = 14 AND department = 'EECS'
|
advising
|
CREATE TABLE table_70399 (
"Year" real,
"Division" text,
"League" text,
"Reg. Season" text,
"Playoffs" text,
"Open Cup" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What league did they play in 2001?
|
SELECT "League" FROM table_70399 WHERE "Year" = '2001'
|
wikisql
|
CREATE TABLE semester (
semester_id int,
semester varchar,
year int
)
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 requirement (
requirement_id int,
requirement varchar,
college varchar
)
CREATE TABLE area (
course_id int,
area 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 offering_instructor (
offering_instructor_id int,
offering_id int,
instructor_id int
)
CREATE TABLE instructor (
instructor_id int,
name varchar,
uniqname varchar
)
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 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 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 comment_instructor (
instructor_id int,
student_id int,
score int,
comment_text varchar
)
CREATE TABLE program_requirement (
program_id int,
category varchar,
min_credit int,
additional_req varchar
)
CREATE TABLE gsi (
course_offering_id int,
student_id int
)
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 ta (
campus_job_id int,
student_id int,
location varchar
)
CREATE TABLE program_course (
program_id int,
course_id int,
workload int,
category varchar
)
CREATE TABLE program (
program_id int,
name varchar,
college varchar,
introduction varchar
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which 300 -level classes will be offered next semester ?
|
SELECT DISTINCT course.department, course.name, course.number FROM course, course_offering, semester WHERE course.course_id = course_offering.course_id AND course.department = 'EECS' AND course.number BETWEEN 300 AND 300 + 100 AND semester.semester = 'FA' AND semester.semester_id = course_offering.semester AND semester.year = 2016
|
advising
|
CREATE TABLE table_name_82 (
wins INTEGER,
losses VARCHAR,
against VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many wins have 16 losses and an Against smaller than 3213?
|
SELECT SUM(wins) FROM table_name_82 WHERE losses = 16 AND against < 3213
|
sql_create_context
|
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE PostTags (
PostId number,
TagId 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 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 FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostTypes (
Id number,
Name text
)
CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
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 PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
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 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 PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
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 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 TagSynonyms (
Id number,
SourceTagName text,
TargetTagName text,
CreationDate time,
OwnerUserId number,
AutoRenameCount number,
LastAutoRename time,
Score number,
ApprovedByUserId number,
ApprovalDate time
)
CREATE TABLE ReviewTaskTypes (
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 Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Get tag wikis under a certain length. Search for tags without a proper wiki.
|
SELECT tag.TagName, wiki.Body, wiki.LastEditDate FROM Tags AS tag LEFT JOIN Posts AS excerpt ON tag.ExcerptPostId = excerpt.Id LEFT JOIN Posts AS wiki ON tag.WikiPostId = wiki.Id WHERE LENGTH(wiki.Body) > 100 ORDER BY wiki.LastEditDate DESC LIMIT 1000
|
sede
|
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 hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
CREATE TABLE wdmzjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH number,
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,
YLJGDM number,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC 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
)
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 bdmzjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH number,
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,
YLJGDM number,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 韩霞飞患者以前都有过哪些异常情况吗？
|
SELECT * FROM person_info JOIN hz_info JOIN mzjzjlb JOIN jybgb JOIN jyjgzbb ON person_info.RYBH = 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 WHERE person_info.XM = '韩霞飞' AND jyjgzbb.JCZBJGDL < jyjgzbb.CKZFWXX OR jyjgzbb.JCZBJGDL > jyjgzbb.CKZFWSX UNION SELECT * FROM person_info JOIN hz_info JOIN wdmzjzjlb JOIN jybgb JOIN jyjgzbb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = wdmzjzjlb.YLJGDM AND hz_info.KH = wdmzjzjlb.KH AND hz_info.KLX = wdmzjzjlb.KLX AND wdmzjzjlb.YLJGDM = jybgb.YLJGDM_ZYJZJLB AND wdmzjzjlb.JZLSH = jybgb.JZLSH_ZYJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH WHERE person_info.XM = '韩霞飞' AND jyjgzbb.JCZBJGDL < jyjgzbb.CKZFWXX OR jyjgzbb.JCZBJGDL > jyjgzbb.CKZFWSX UNION SELECT * FROM person_info JOIN hz_info JOIN bdmzjzjlb JOIN jybgb JOIN jyjgzbb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = bdmzjzjlb.YLJGDM AND hz_info.KH = bdmzjzjlb.KH AND hz_info.KLX = bdmzjzjlb.KLX AND bdmzjzjlb.YLJGDM = jybgb.YLJGDM_ZYJZJLB AND bdmzjzjlb.JZLSH = jybgb.JZLSH_ZYJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH WHERE person_info.XM = '韩霞飞' AND jyjgzbb.JCZBJGDL < jyjgzbb.CKZFWXX OR jyjgzbb.JCZBJGDL > jyjgzbb.CKZFWSX
|
css
|
CREATE TABLE table_63047 (
"Year" real,
"Song Title" text,
"Film" text,
"Co - Singer" text,
"Music - Director" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the film from 2013 with a song title of 'neetho edo' with a solo co-singer?
|
SELECT "Film" FROM table_63047 WHERE "Year" = '2013' AND "Co - Singer" = 'solo' AND "Song Title" = 'neetho edo'
|
wikisql
|
CREATE TABLE schedule (
Cinema_ID int,
Film_ID int,
Date text,
Show_times_per_day int,
Price float
)
CREATE TABLE cinema (
Cinema_ID int,
Name text,
Openning_year int,
Capacity int,
Location text
)
CREATE TABLE film (
Film_ID int,
Rank_in_series int,
Number_in_season int,
Title text,
Directed_by text,
Original_air_date text,
Production_code text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Show each location and the number of cinemas there by a bar chart, and sort bars in desc order.
|
SELECT Location, COUNT(*) FROM cinema GROUP BY Location ORDER BY Location DESC
|
nvbench
|
CREATE TABLE table_7132 (
"Res." text,
"Record" text,
"Opponent" text,
"Method" text,
"Event" text,
"Round" real,
"Time" text,
"Location" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the location of the fight when Sara McMann's record was 1-0?
|
SELECT "Location" FROM table_7132 WHERE "Record" = '1-0'
|
wikisql
|
CREATE TABLE program_course (
program_id int,
course_id int,
workload int,
category varchar
)
CREATE TABLE offering_instructor (
offering_instructor_id int,
offering_id int,
instructor_id int
)
CREATE TABLE program_requirement (
program_id int,
category varchar,
min_credit int,
additional_req varchar
)
CREATE TABLE requirement (
requirement_id int,
requirement varchar,
college varchar
)
CREATE TABLE jobs (
job_id int,
job_title varchar,
description varchar,
requirement varchar,
city varchar,
state varchar,
country varchar,
zip int
)
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 gsi (
course_offering_id int,
student_id int
)
CREATE TABLE semester (
semester_id int,
semester varchar,
year int
)
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 program (
program_id int,
name varchar,
college varchar,
introduction varchar
)
CREATE TABLE course_prerequisite (
pre_course_id int,
course_id int
)
CREATE TABLE area (
course_id int,
area 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_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 comment_instructor (
instructor_id int,
student_id int,
score int,
comment_text varchar
)
CREATE TABLE ta (
campus_job_id int,
student_id int,
location varchar
)
CREATE TABLE instructor (
instructor_id int,
name varchar,
uniqname 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which section of ASIAN 574 is available after 20:00 P.M. ?
|
SELECT DISTINCT course_offering.end_time, course_offering.section_number, course_offering.start_time FROM course, course_offering, semester WHERE course_offering.start_time > '20:00' AND course.course_id = course_offering.course_id AND course.department = 'ASIAN' AND course.number = 574 AND semester.semester = 'WN' AND semester.semester_id = course_offering.semester AND semester.year = 2016
|
advising
|
CREATE TABLE table_35815 (
"District" text,
"Incumbent" text,
"Party" text,
"First elected" text,
"Result" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the result for james o'h. patterson when first elected in 1904?
|
SELECT "Result" FROM table_35815 WHERE "First elected" = '1904' AND "Incumbent" = 'james o''h. patterson'
|
wikisql
|
CREATE TABLE table_name_82 (
game VARCHAR,
record VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the number of the game when the record was 11-12?
|
SELECT game FROM table_name_82 WHERE record = "11-12"
|
sql_create_context
|
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 ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
CREATE TABLE VoteTypes (
Id number,
Name 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 PostTags (
PostId number,
TagId number
)
CREATE TABLE FlagTypes (
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 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 PostTypes (
Id number,
Name text
)
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
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 PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate 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 CloseReasonTypes (
Id number,
Name text,
Description 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 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 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 PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
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 TagSynonyms (
Id number,
SourceTagName text,
TargetTagName text,
CreationDate time,
OwnerUserId number,
AutoRenameCount number,
LastAutoRename time,
Score number,
ApprovedByUserId number,
ApprovalDate time
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Top Answerers by Accepted Percentage.
|
SELECT A.OwnerUserId AS "user_link", (CAST(COUNT(A.Id) AS FLOAT) / (SELECT COUNT(*) FROM Posts WHERE OwnerUserId = A.OwnerUserId AND PostTypeId = 2) * 100) AS AcceptedPercent FROM Posts AS A INNER JOIN Posts AS Q ON Q.AcceptedAnswerId = A.Id WHERE A.PostTypeId = 2 AND (SELECT COUNT(*) FROM Posts WHERE PostTypeId = 2 AND OwnerUserId = A.OwnerUserId) > 100 GROUP BY A.OwnerUserId ORDER BY 'acceptedpercent' DESC LIMIT @N
|
sede
|
CREATE TABLE table_16909 (
"Model number" text,
"sSpec number" text,
"Frequency" text,
"L2 cache" text,
"FSB" text,
"Mult." text,
"Voltage" text,
"TDP" text,
"Socket" text,
"Release date" text,
"Part number(s)" text,
"Release price ( USD )" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the socket for the pentium dual-core t2410?
|
SELECT "Socket" FROM table_16909 WHERE "Model number" = 'Pentium Dual-Core T2410'
|
wikisql
|
CREATE TABLE table_39953 (
"Wins" real,
"Byes" real,
"Losses" real,
"Draws" real,
"Against" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the highest score with 0 wins and more than 2 Byes?
|
SELECT MAX("Against") FROM table_39953 WHERE "Wins" = '0' AND "Byes" > '2'
|
wikisql
|
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 lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- provide the number of patients whose admission type is elective and procedure long title is transfusion of other serum?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_type = "ELECTIVE" AND procedures.long_title = "Transfusion of other serum"
|
mimicsql_data
|
CREATE TABLE table_71486 (
"Team 1" text,
"Agg." text,
"Team 2" text,
"1st leg" text,
"2nd leg" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who was the Team 1 for a 2nd leg of 1-4?
|
SELECT "Team 1" FROM table_71486 WHERE "2nd leg" = '1-4'
|
wikisql
|
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid 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 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 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.
-- How many of the patients admitted before 2172 were diagnosed with icd9 code 1504?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admityear < "2172" AND diagnoses.icd9_code = "1504"
|
mimicsql_data
|
CREATE TABLE storm (
Storm_ID int,
Name text,
Dates_active text,
Max_speed int,
Damage_millions_USD real,
Number_Deaths int
)
CREATE TABLE region (
Region_id int,
Region_code text,
Region_name text
)
CREATE TABLE affected_region (
Region_id int,
Storm_ID int,
Number_city_affected real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how many regions were affected by each storm?, I want to order in desc by the y axis.
|
SELECT Name, COUNT(*) FROM storm AS T1 JOIN affected_region AS T2 ON T1.Storm_ID = T2.Storm_ID GROUP BY T1.Storm_ID ORDER BY COUNT(*) DESC
|
nvbench
|
CREATE TABLE table_2668264_22 (
party VARCHAR,
incumbent VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What party does joel r. poinsett represent?
|
SELECT party FROM table_2668264_22 WHERE incumbent = "Joel R. Poinsett"
|
sql_create_context
|
CREATE TABLE table_77676 (
"Year" real,
"Competition" text,
"Date" text,
"Location" text,
"Score" text,
"Result" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the sum of the year for 5 february?
|
SELECT SUM("Year") FROM table_77676 WHERE "Date" = '5 february'
|
wikisql
|
CREATE TABLE t_kc21_t_kc24 (
MED_CLINIC_ID text,
MED_SAFE_PAY_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_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_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_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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 统计一下医疗记录中入院诊断为Q34.984在医院9479649里的最低和最高医疗费总额是多少？
|
SELECT MIN(t_kc24.MED_AMOUT), MAX(t_kc24.MED_AMOUT) FROM t_kc24 WHERE t_kc21_t_kc24.MED_CLINIC_ID IN (SELECT t_kc21.MED_CLINIC_ID FROM t_kc21 WHERE t_kc21.MED_SER_ORG_NO = '9479649' AND t_kc21.IN_DIAG_DIS_CD = 'Q34.984')
|
css
|
CREATE TABLE table_21655290_1 (
film_title_used_in_nomination VARCHAR,
year__ceremony_ VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which film title used in nomination has the year (ceremony) 1990 (63rd)?
|
SELECT film_title_used_in_nomination FROM table_21655290_1 WHERE year__ceremony_ = "1990 (63rd)"
|
sql_create_context
|
CREATE TABLE table_46052 (
"Team" text,
"Tries for" text,
"Tries against" text,
"Try diff" text,
"Points for" text,
"Points against" text,
"Points diff" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is points diff when points against is 123?
|
SELECT "Points diff" FROM table_46052 WHERE "Points against" = '123'
|
wikisql
|
CREATE TABLE table_name_96 (
tournament VARCHAR,
winning_score VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which tournament had a winning score of 67-61-68-67=263?
|
SELECT tournament FROM table_name_96 WHERE winning_score = 67 - 61 - 68 - 67 = 263
|
sql_create_context
|
CREATE TABLE table_name_83 (
faroese VARCHAR,
english VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Faroese has an English of white?
|
SELECT faroese FROM table_name_83 WHERE english = "white"
|
sql_create_context
|
CREATE TABLE table_35664 (
"Tournament" text,
"1998" text,
"1999" text,
"2000" text,
"2001" text,
"2002" text,
"2003" text,
"2004" text,
"2005" text,
"2006" text,
"2007" text,
"2008" text,
"2009" text,
"2010" text,
"2011" text,
"Career W/L" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the 2001 with 2007 of sf
|
SELECT "2001" FROM table_35664 WHERE "2007" = 'sf'
|
wikisql
|
CREATE TABLE table_16695 (
"Rd." real,
"Grand Prix" text,
"Date" text,
"Location" text,
"Pole Position" text,
"Fastest Lap" text,
"Winning Driver" text,
"Constructor" text,
"Report" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What day is the french grand prix
|
SELECT "Date" FROM table_16695 WHERE "Grand Prix" = 'French Grand Prix'
|
wikisql
|
CREATE TABLE table_23391714_1 (
points INTEGER,
pos VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- When the pos equals 18 what is the max amount of points?
|
SELECT MAX(points) FROM table_23391714_1 WHERE pos = 18
|
sql_create_context
|
CREATE TABLE table_25594888_1 (
race_number VARCHAR,
yacht VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many races was Loki in?
|
SELECT COUNT(race_number) FROM table_25594888_1 WHERE yacht = "Loki"
|
sql_create_context
|
CREATE TABLE table_name_53 (
sno INTEGER,
completion_schedule VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- For the 2013 completion schedule, what is the total S.no.?
|
SELECT SUM(sno) FROM table_name_53 WHERE completion_schedule = "2013"
|
sql_create_context
|
CREATE TABLE table_47135 (
"Res." text,
"Record" text,
"Opponent" text,
"Method" text,
"Round" real,
"Time" text,
"Location" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What round was the method submission (punches)?
|
SELECT COUNT("Round") FROM table_47135 WHERE "Method" = 'submission (punches)'
|
wikisql
|
CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM 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 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 hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text,
person_info_CSD text,
person_info_CSRQ time,
person_info_GJDM text,
person_info_GJMC text,
person_info_JGDM text,
person_info_JGMC text,
person_info_MZDM text,
person_info_MZMC text,
person_info_XBDM number,
person_info_XBMC text,
person_info_XLDM text,
person_info_XLMC text,
person_info_XM text,
person_info_ZYLBDM text,
person_info_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
)
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.
-- 对应的患者姓名在门诊就诊中开出的检验报告单99312004581上是什么？
|
SELECT hz_info.person_info_XM FROM hz_info JOIN mzjzjlb JOIN jybgb ON hz_info.YLJGDM = mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX AND mzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND mzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB WHERE jybgb.BGDH = '99312004581'
|
css
|
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 hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
CREATE TABLE zyjzjlb_jybgb (
YLJGDM_ZYJZJLB text,
BGDH 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 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
)
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 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.
-- 列出名称包含老年医学的科室在医疗就诊78415919799中开出的所有检验报告单的编号是什么？
|
SELECT jybgb.BGDH FROM jybgb WHERE jybgb.JZLSH = '78415919799' AND jybgb.KSMC LIKE '%老年医学%'
|
css
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.