instruction
stringlengths 151
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|---|---|---|
CREATE TABLE table_60529 (
"Year" real,
"Round" real,
"Pick" real,
"Player" text,
"NBA Club" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the sum for the pick of the year 2009, and a round smaller than 2 and an NBA Club Denver Nuggets?
|
SELECT SUM("Pick") FROM table_60529 WHERE "Year" = '2009' AND "Round" < '2' AND "NBA Club" = 'denver nuggets'
|
wikisql
|
CREATE TABLE table_name_11 (
pci_express VARCHAR,
memory VARCHAR,
sound VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which PCI-Express has a DDR 266/333/400 Registered/ECC memory and Enhanced AC'97 2.3 sound?
|
SELECT pci_express FROM table_name_11 WHERE memory = "ddr 266/333/400 registered/ecc" AND sound = "enhanced ac'97 2.3"
|
sql_create_context
|
CREATE TABLE tags (
index number,
id number,
tag text
)
CREATE TABLE torrents (
groupname text,
totalsnatched number,
artist text,
groupyear number,
releasetype text,
groupid number,
id number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what release types are captured in this data set?
|
SELECT DISTINCT releasetype FROM torrents
|
whatcdhiphop
|
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
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 medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime 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 allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- provide me with the top three most common intake since 2100?
|
SELECT t1.celllabel FROM (SELECT intakeoutput.celllabel, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM intakeoutput WHERE intakeoutput.cellpath LIKE '%intake%' AND STRFTIME('%y', intakeoutput.intakeoutputtime) >= '2100' GROUP BY intakeoutput.celllabel) AS t1 WHERE t1.c1 <= 3
|
eicu
|
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- count the number of patients who have been diagnosed with stroke and have not been back to the hospital within 2 months until 2103.
|
SELECT (SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'stroke' AND STRFTIME('%y', diagnosis.diagnosistime) <= '2103') AS t1) - (SELECT COUNT(DISTINCT t2.uniquepid) FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'stroke' AND STRFTIME('%y', diagnosis.diagnosistime) <= '2103') AS t2 JOIN patient ON t2.uniquepid = patient.uniquepid WHERE t2.diagnosistime < patient.hospitaladmittime AND STRFTIME('%y', patient.hospitaladmittime) <= '2103' AND DATETIME(patient.hospitaladmittime) BETWEEN DATETIME(t2.diagnosistime) AND DATETIME(t2.diagnosistime, '+2 month'))
|
eicu
|
CREATE TABLE table_33996 (
"Round" real,
"Pick #" real,
"Overall" real,
"Name" text,
"Position" text,
"College" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which player was picked in round 15 with a pick smaller than 13?
|
SELECT "Name" FROM table_33996 WHERE "Pick #" < '13' AND "Round" = '15'
|
wikisql
|
CREATE TABLE table_name_20 (
operator VARCHAR,
rank VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which operator has a rank of 7?
|
SELECT operator FROM table_name_20 WHERE rank = 7
|
sql_create_context
|
CREATE TABLE table_13801 (
"Model number" text,
"sSpec number" text,
"Cores" text,
"Frequency" text,
"Turbo" text,
"L2 cache" text,
"L3 cache" text,
"GPU model" text,
"GPU frequency" text,
"Socket" text,
"I/O bus" text,
"Release date" text,
"Part number(s)" text,
"Release price ( USD )" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Release price (USD ) has a GPU frequency of 650 1150 mhz and a sSpec number of sr0pq(e1)?
|
SELECT "Release price ( USD )" FROM table_13801 WHERE "GPU frequency" = '650–1150 mhz' AND "sSpec number" = 'sr0pq(e1)'
|
wikisql
|
CREATE TABLE table_name_53 (
original_title VARCHAR,
year VARCHAR,
author VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the original title for years before 1977 and author of lagercrantz olof lagercrantz
|
SELECT original_title FROM table_name_53 WHERE year < 1977 AND author = "lagercrantz olof lagercrantz"
|
sql_create_context
|
CREATE TABLE table_name_85 (
laps INTEGER,
points VARCHAR,
team VARCHAR,
time_retired VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the fewest number of laps for a Dale Coyne Racing team with a mechanical time/retired and fewer than 5 points?
|
SELECT MIN(laps) FROM table_name_85 WHERE team = "dale coyne racing" AND time_retired = "mechanical" AND points < 5
|
sql_create_context
|
CREATE TABLE table_50604 (
"Oklahoma vs." text,
"Overall Record" text,
"at Norman" text,
"at Opponent's Venue" text,
"at Neutral Site" text,
"Last 5 Meetings" text,
"Last 10 Meetings" text,
"Current Streak" text,
"Since Beginning of Big 12" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the Last 10 Meetings when Norman is ou, 18-6?
|
SELECT "Last 10 Meetings" FROM table_50604 WHERE "at Norman" = 'ou, 18-6'
|
wikisql
|
CREATE TABLE table_name_7 (
brigade VARCHAR,
name VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the brigade when Al-Bira is the name?
|
SELECT brigade FROM table_name_7 WHERE name = "al-bira"
|
sql_create_context
|
CREATE TABLE table_203_182 (
id number,
"no. in\nseries" number,
"no. in\nseason" number,
"title" text,
"directed by" text,
"written by" text,
"original air date" text,
"production\ncode" number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what episode came after i , done -lrb- part 1 -rrb- ?
|
SELECT "title" FROM table_203_182 WHERE "no. in\nseries" = (SELECT "no. in\nseries" FROM table_203_182 WHERE "title" = '"i, done" (part 1)') + 1
|
squall
|
CREATE TABLE event (
ID int,
Name text,
Stadium_ID int,
Year text
)
CREATE TABLE stadium (
ID int,
name text,
Capacity int,
City text,
Country text,
Opening_year int
)
CREATE TABLE 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 record (
ID int,
Result text,
Swimmer_ID int,
Event_ID int
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- A bar chart shows the distribution of meter_200 and the average of ID , and group by attribute meter_200, and rank in ascending by the bar.
|
SELECT meter_200, AVG(ID) FROM swimmer GROUP BY meter_200 ORDER BY meter_200
|
nvbench
|
CREATE TABLE table_70559 (
"Year" real,
"Division" real,
"League" text,
"Regular Season" text,
"Playoffs" text,
"Open Cup" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the highest Division when the playoffs were the quarter finals, with a Regular Season of 5th?
|
SELECT MAX("Division") FROM table_70559 WHERE "Playoffs" = 'quarter finals' AND "Regular Season" = '5th'
|
wikisql
|
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 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 employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- For those employees who did not have any job in the past, find hire_date and the average of employee_id bin hire_date by time, and visualize them by a bar chart, and rank Y-axis in descending order.
|
SELECT HIRE_DATE, AVG(EMPLOYEE_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) ORDER BY AVG(EMPLOYEE_ID) DESC
|
nvbench
|
CREATE TABLE table_50906 (
"Acharya Number" real,
"Name of Acharya" text,
"Born on" text,
"Became Acharya on" text,
"Death" text,
"Term" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the term of acharya shree vasudevprasadji maharaj?
|
SELECT "Term" FROM table_50906 WHERE "Name of Acharya" = 'acharya shree vasudevprasadji maharaj'
|
wikisql
|
CREATE TABLE table_name_35 (
against INTEGER,
losses VARCHAR,
draws VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- WHAT IS THE HIGHEST AGAINST WITH LOSSES SMALLER THAN 17, DRAWS LARGER THAN 1?
|
SELECT MAX(against) FROM table_name_35 WHERE losses < 17 AND draws > 1
|
sql_create_context
|
CREATE TABLE table_name_66 (
bronze VARCHAR,
rank VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which bronze has a Rank of 37?
|
SELECT bronze FROM table_name_66 WHERE rank = "37"
|
sql_create_context
|
CREATE TABLE table_66703 (
"Year" text,
"Births (000s)" real,
"Deaths" real,
"Natural Growth" real,
"Total Fertility Rate" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the average birth rate that has a total fertility rate of na, and a natural growth smaller than 2.5?
|
SELECT AVG("Births (000s)") FROM table_66703 WHERE "Total Fertility Rate" = 'na' AND "Natural Growth" < '2.5'
|
wikisql
|
CREATE TABLE table_21071 (
"Team #1" text,
"Points" text,
"Team #2" text,
"1st leg" text,
"2nd leg" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- If team two is Lan s, what was the total number of points?
|
SELECT COUNT("Points") FROM table_21071 WHERE "Team #2" = 'Lanús'
|
wikisql
|
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 demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- provide the number of patients whose language is span and religion is unobtainable.
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.language = "SPAN" AND demographic.religion = "UNOBTAINABLE"
|
mimicsql_data
|
CREATE TABLE zyjzjlb (
YLJGDM text,
JZLSH text,
MZJZLSH text,
KH text,
KLX number,
HZXM text,
WDBZ number,
RYDJSJ time,
RYTJDM number,
RYTJMC text,
JZKSDM text,
JZKSMC text,
RZBQDM text,
RZBQMC text,
RYCWH text,
CYKSDM text,
CYKSMC text,
CYBQDM text,
CYBQMC text,
CYCWH text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text,
MZBMLX number,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYSJ time,
CYSJ time,
CYZTDM number
)
CREATE TABLE mzjzjlb (
YLJGDM text,
JZLSH text,
KH text,
KLX number,
MJZH text,
HZXM text,
NLS number,
NLY number,
ZSEBZ number,
JZZTDM number,
JZZTMC text,
JZJSSJ time,
TXBZ number,
ZZBZ number,
WDBZ number,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
ZZYSGH text,
QTJZYSGH text,
JZZDBM text,
JZZDSM text,
MZZYZDZZBM text,
MZZYZDZZMC text,
SG number,
TZ number,
TW number,
SSY number,
SZY number,
XL number,
HXPLC number,
ML number,
JLSJ time
)
CREATE TABLE jybgb (
YLJGDM text,
YLJGDM_MZJZJLB text,
YLJGDM_ZYJZJLB text,
BGDH text,
BGRQ time,
JYLX number,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SQRGH text,
SQRXM text,
BGRGH text,
BGRXM text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
JYKSBM text,
JYKSMC text,
BGJGDM text,
BGJGMC text,
SQRQ time,
CJRQ time,
JYRQ time,
BGSJ time,
BBDM text,
BBMC text,
JYBBH text,
BBZT number,
BBCJBW text,
JSBBSJ time,
JYXMMC text,
JYXMDM text,
JYSQJGMC text,
JYJGMC text,
JSBBRQSJ time,
JYJSQM text,
JYJSGH text
)
CREATE TABLE person_info (
RYBH text,
XBDM number,
XBMC text,
XM text,
CSRQ time,
CSD text,
MZDM text,
MZMC text,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
XLDM text,
XLMC text,
ZYLBDM text,
ZYMC text
)
CREATE TABLE hz_info (
KH text,
KLX number,
YLJGDM text,
RYBH text
)
CREATE TABLE jyjgzbb (
JYZBLSH text,
YLJGDM text,
BGDH text,
BGRQ time,
JYRQ time,
JCRGH text,
JCRXM text,
SHRGH text,
SHRXM text,
JCXMMC text,
JCZBDM text,
JCFF text,
JCZBMC text,
JCZBJGDX text,
JCZBJGDL number,
JCZBJGDW text,
SBBM text,
YQBH text,
YQMC text,
CKZFWDX text,
CKZFWXX number,
CKZFWSX number,
JLDW text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 检验报告单63924236375的状态如何，这份报告单的标本代码和名称是什么
|
SELECT BBDM, BBMC, BBZT FROM jybgb WHERE BGDH = '63924236375'
|
css
|
CREATE TABLE table_49833 (
"Round" real,
"Player" text,
"Position" text,
"Nationality" text,
"College/junior/club team (league)" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the name of the team with round less than 2, and the nationality is the United States?
|
SELECT "College/junior/club team (league)" FROM table_49833 WHERE "Round" < '2' AND "Nationality" = 'united states'
|
wikisql
|
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE 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.
-- how much does diagnosis of myxoma cost.
|
SELECT DISTINCT cost.cost FROM cost WHERE cost.eventtype = 'diagnosis' AND cost.eventid IN (SELECT diagnosis.diagnosisid FROM diagnosis WHERE diagnosis.diagnosisname = 'myxoma')
|
eicu
|
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 hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM 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
)
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.
-- 门诊就诊21018594065是在哪一年的几月几日
|
SELECT wdmzjzjlb.JZKSRQ FROM wdmzjzjlb WHERE wdmzjzjlb.JZLSH = '21018594065' UNION SELECT bdmzjzjlb.JZKSRQ FROM bdmzjzjlb WHERE bdmzjzjlb.JZLSH = '21018594065'
|
css
|
CREATE TABLE Person (
name varchar(20),
age INTEGER,
city TEXT,
gender TEXT,
job TEXT
)
CREATE TABLE PersonFriend (
name varchar(20),
friend varchar(20),
year INTEGER
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Visualize a pie chart with how old is each gender, on average?
|
SELECT gender, AVG(age) FROM Person GROUP BY gender
|
nvbench
|
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
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.
-- Count the male patients with a black/cape verdean ethnic background.
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "M" AND demographic.ethnicity = "BLACK/CAPE VERDEAN"
|
mimicsql_data
|
CREATE TABLE trip (
id INTEGER,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE station (
id INTEGER,
name TEXT,
lat NUMERIC,
long NUMERIC,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE status (
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE weather (
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches NUMERIC,
mean_sea_level_pressure_inches NUMERIC,
min_sea_level_pressure_inches NUMERIC,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches INTEGER,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code INTEGER
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- For those dates with a max temperature greater than or equal to 80, I would like a line chart to show the tendency, display by the X in asc.
|
SELECT date, COUNT(date) FROM weather WHERE max_temperature_f >= 80 GROUP BY date ORDER BY date
|
nvbench
|
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- find the lab test category of patient kelly gallardo.
|
SELECT lab."CATEGORY" FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.name = "Kelly Gallardo"
|
mimicsql_data
|
CREATE TABLE table_2047 (
"Province" text,
"Latin Americans 2001" real,
"% 2001" text,
"Latin Americans 2011" real,
"% 2011" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What's the percentage in 2001 in Manitoba where the percentage in 2011 is 0.8%?
|
SELECT "% 2001" FROM table_2047 WHERE "% 2011" = '0.8%' AND "Province" = 'Manitoba'
|
wikisql
|
CREATE TABLE table_16570286_2 (
team VARCHAR,
highest_score VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many teams were there with a high score of 143?
|
SELECT COUNT(team) FROM table_16570286_2 WHERE highest_score = "143"
|
sql_create_context
|
CREATE TABLE table_name_20 (
rank INTEGER,
games_played INTEGER
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the rank of the person with more than 5 games played?
|
SELECT SUM(rank) FROM table_name_20 WHERE games_played > 5
|
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 hz_info_mzjzjlb (
JZLSH number,
YLJGDM number,
mzjzjlb_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 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 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 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,
ZSEBZ number,
ZZBZ number,
ZZYSGH text,
mzjzjlb_id number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 医生21581460的门诊量在2002年10月1日到2016年7月5日内总共有多少人？
|
SELECT COUNT(*) FROM mzjzjlb WHERE mzjzjlb.ZZYSGH = '21581460' AND mzjzjlb.JZKSRQ BETWEEN '2002-10-01' AND '2016-07-05'
|
css
|
CREATE TABLE table_61854 (
"Tie no" real,
"Home team" text,
"Score" text,
"Away team" text,
"Attendance" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the score when the attendance is less than 83 and Raunds Town is the away team?
|
SELECT "Score" FROM table_61854 WHERE "Attendance" < '83' AND "Away team" = 'raunds town'
|
wikisql
|
CREATE TABLE table_22713796_14 (
stage INTEGER,
winner VARCHAR,
general_classification VARCHAR,
team_classification VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the most stage for alejandro valverde and astana greg henderson
|
SELECT MAX(stage) FROM table_22713796_14 WHERE general_classification = "Alejandro Valverde" AND team_classification = "Astana" AND winner = "Greg Henderson"
|
sql_create_context
|
CREATE TABLE table_2112766_1 (
broadcast_date VARCHAR,
viewers__in_millions_ VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is all the broadcast date when viewers were 8.4 millions
|
SELECT COUNT(broadcast_date) FROM table_2112766_1 WHERE viewers__in_millions_ = "8.4"
|
sql_create_context
|
CREATE TABLE table_24216 (
"Competition" text,
"Round" text,
"Opponent" text,
"Result" text,
"Score" text,
"Home/Away" text,
"Venue" text,
"Attendance" real,
"Date" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what's the score against crusaders
|
SELECT "Score" FROM table_24216 WHERE "Opponent" = 'Crusaders'
|
wikisql
|
CREATE TABLE orders (
order_id number,
customer_id number,
date_order_placed time,
order_details text
)
CREATE TABLE invoice_line_items (
order_item_id number,
invoice_number number,
product_id number,
product_title text,
product_quantity text,
product_price number,
derived_product_cost number,
derived_vat_payable number,
derived_total_cost number
)
CREATE TABLE invoices (
invoice_number number,
order_id number,
invoice_date time
)
CREATE TABLE customers (
customer_id number,
customer_first_name text,
customer_middle_initial text,
customer_last_name text,
gender text,
email_address text,
login_name text,
login_password text,
phone_number text,
town_city text,
state_county_province text,
country text
)
CREATE TABLE product_categories (
production_type_code text,
product_type_description text,
vat_rating number
)
CREATE TABLE financial_transactions (
transaction_id number,
account_id number,
invoice_number number,
transaction_type text,
transaction_date time,
transaction_amount number,
transaction_comment text,
other_transaction_details text
)
CREATE TABLE order_items (
order_item_id number,
order_id number,
product_id number,
product_quantity text,
other_order_item_details text
)
CREATE TABLE accounts (
account_id number,
customer_id number,
date_account_opened time,
account_name text,
other_account_details text
)
CREATE TABLE products (
product_id number,
parent_product_id number,
production_type_code text,
unit_price number,
product_name text,
product_color text,
product_size text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the customer id, first and last name with most number of accounts.
|
SELECT T1.customer_id, T2.customer_first_name, T2.customer_last_name FROM accounts AS T1 JOIN customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id ORDER BY COUNT(*) DESC LIMIT 1
|
spider
|
CREATE TABLE Student (
StuID VARCHAR
)
CREATE TABLE Has_allergy (
StuID VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What are the student ids of students who don't have any allergies?
|
SELECT StuID FROM Student EXCEPT SELECT StuID FROM Has_allergy
|
sql_create_context
|
CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE PostTypes (
Id number,
Name text
)
CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE 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 PostTags (
PostId number,
TagId number
)
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId 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 CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId 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 SuggestedEdits (
Id number,
PostId number,
CreationDate time,
ApprovalDate time,
RejectionDate time,
OwnerUserId number,
Comment text,
Text text,
Title text,
Tags text,
RevisionGUID other
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE 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 ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE ReviewTaskStates (
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 Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount 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 PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Question Score Frequency (whole site).
|
SELECT Score, COUNT(Score) AS "count" FROM Posts WHERE NOT AnswerCount IS NULL GROUP BY Score ORDER BY Score DESC
|
sede
|
CREATE TABLE table_name_3 (
sliding_tackle VARCHAR,
dump_tackle VARCHAR,
shoulder_charge VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which sliding tackle has no dump tackle and a restricted shoulder charge?
|
SELECT sliding_tackle FROM table_name_3 WHERE dump_tackle = "no" AND shoulder_charge = "restricted"
|
sql_create_context
|
CREATE TABLE jyjgzbb (
JYZBLSH text,
YLJGDM text,
BGDH text,
BGRQ time,
JYRQ time,
JCRGH text,
JCRXM text,
SHRGH text,
SHRXM text,
JCXMMC text,
JCZBDM text,
JCFF text,
JCZBMC text,
JCZBJGDX text,
JCZBJGDL number,
JCZBJGDW text,
SBBM text,
YQBH text,
YQMC text,
CKZFWDX text,
CKZFWXX number,
CKZFWSX number,
JLDW text
)
CREATE TABLE hz_info (
KH text,
KLX number,
YLJGDM text,
RYBH text
)
CREATE TABLE mzjzjlb (
YLJGDM text,
JZLSH text,
KH text,
KLX number,
MJZH text,
HZXM text,
NLS number,
NLY number,
ZSEBZ number,
JZZTDM number,
JZZTMC text,
JZJSSJ time,
TXBZ number,
ZZBZ number,
WDBZ number,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
ZZYSGH text,
QTJZYSGH text,
JZZDBM text,
JZZDSM text,
MZZYZDZZBM text,
MZZYZDZZMC text,
SG number,
TZ number,
TW number,
SSY number,
SZY number,
XL number,
HXPLC number,
ML number,
JLSJ time
)
CREATE TABLE jybgb (
YLJGDM text,
YLJGDM_MZJZJLB text,
YLJGDM_ZYJZJLB text,
BGDH text,
BGRQ time,
JYLX number,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SQRGH text,
SQRXM text,
BGRGH text,
BGRXM text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
JYKSBM text,
JYKSMC text,
BGJGDM text,
BGJGMC text,
SQRQ time,
CJRQ time,
JYRQ time,
BGSJ time,
BBDM text,
BBMC text,
JYBBH text,
BBZT number,
BBCJBW text,
JSBBSJ time,
JYXMMC text,
JYXMDM text,
JYSQJGMC text,
JYJGMC text,
JSBBRQSJ time,
JYJSQM text,
JYJSGH text
)
CREATE TABLE person_info (
RYBH text,
XBDM number,
XBMC text,
XM text,
CSRQ time,
CSD text,
MZDM text,
MZMC text,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
XLDM text,
XLMC text,
ZYLBDM text,
ZYMC text
)
CREATE TABLE zyjzjlb (
YLJGDM text,
JZLSH text,
MZJZLSH text,
KH text,
KLX number,
HZXM text,
WDBZ number,
RYDJSJ time,
RYTJDM number,
RYTJMC text,
JZKSDM text,
JZKSMC text,
RZBQDM text,
RZBQMC text,
RYCWH text,
CYKSDM text,
CYKSMC text,
CYBQDM text,
CYBQMC text,
CYCWH text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text,
MZBMLX number,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYSJ time,
CYSJ time,
CYZTDM number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 号码为77162330250的门诊就诊的诊断编码和名称分别是什么？
|
SELECT JZZDBM, JZZDSM FROM mzjzjlb WHERE JZLSH = '77162330250'
|
css
|
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- calculate patient 005-87465's total input on this month/17.
|
SELECT SUM(intakeoutput.cellvaluenumeric) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '005-87465')) AND intakeoutput.cellpath LIKE '%intake%' AND DATETIME(intakeoutput.intakeoutputtime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') AND STRFTIME('%d', intakeoutput.intakeoutputtime) = '17'
|
eicu
|
CREATE TABLE table_31330 (
"Manufacturer" text,
"Model" text,
"Intro Date" text,
"Interface" text,
"OS" text,
"Price (USD)" real,
"Price" text,
"Throughput" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the intro date for the interface that equals pci?
|
SELECT "Intro Date" FROM table_31330 WHERE "Interface" = 'PCI'
|
wikisql
|
CREATE TABLE table_76925 (
"Taper" text,
"Large end" real,
"Small end" real,
"Length" real,
"Taper/ ft" real,
"Taper/ in" real,
"Angle from center/\u00b0" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Large end has a Taper/ft smaller than 0.6000000000000001?
|
SELECT COUNT("Large end") FROM table_76925 WHERE "Taper/ ft" < '0.6000000000000001'
|
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 procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id 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.
-- how many patients whose days of hospital stay is greater than 1 and diagnoses long title is diseases of tricuspid valve?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.days_stay > "1" AND diagnoses.long_title = "Diseases of tricuspid valve"
|
mimicsql_data
|
CREATE TABLE train (
id int,
train_number int,
name text,
origin text,
destination text,
time text,
interval text
)
CREATE TABLE route (
train_id int,
station_id int
)
CREATE TABLE weekly_weather (
station_id int,
day_of_week text,
high_temperature int,
low_temperature int,
precipitation real,
wind_speed_mph int
)
CREATE TABLE station (
id int,
network_name text,
services text,
local_authority text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Compare the number of services by services with a bar graph, sort by the y axis from high to low.
|
SELECT services, COUNT(services) FROM station GROUP BY services ORDER BY COUNT(services) DESC
|
nvbench
|
CREATE TABLE table_name_46 (
modern_title_of_house VARCHAR,
translation VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which modern house title translates to prison?
|
SELECT modern_title_of_house FROM table_name_46 WHERE translation = "prison"
|
sql_create_context
|
CREATE TABLE table_name_92 (
attendance INTEGER,
record VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the average attendance for a Kings game when they had a record of 1 5 0?
|
SELECT AVG(attendance) FROM table_name_92 WHERE record = "1–5–0"
|
sql_create_context
|
CREATE TABLE order_items (
item_id number,
order_item_status_code text,
order_id number,
product_id number,
item_status_code text,
item_delivered_datetime time,
item_order_quantity text
)
CREATE TABLE mailshot_customers (
mailshot_id number,
customer_id number,
outcome_code text,
mailshot_customer_date time
)
CREATE TABLE mailshot_campaigns (
mailshot_id number,
product_category text,
mailshot_name text,
mailshot_start_date time,
mailshot_end_date time
)
CREATE TABLE customer_orders (
order_id number,
customer_id number,
order_status_code text,
shipping_method_code text,
order_placed_datetime time,
order_delivered_datetime time,
order_shipping_charges text
)
CREATE TABLE products (
product_id number,
product_category text,
product_name text
)
CREATE TABLE premises (
premise_id number,
premises_type text,
premise_details text
)
CREATE TABLE customer_addresses (
customer_id number,
premise_id number,
date_address_from time,
address_type_code text,
date_address_to time
)
CREATE TABLE customers (
customer_id number,
payment_method text,
customer_name text,
customer_phone text,
customer_email text,
customer_address text,
customer_login text,
customer_password text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Show the name and phone for customers with a mailshot with outcome code 'No Response'.
|
SELECT T1.customer_name, T1.customer_phone FROM customers AS T1 JOIN mailshot_customers AS T2 ON T1.customer_id = T2.customer_id WHERE T2.outcome_code = 'No Response'
|
spider
|
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE PostTypes (
Id number,
Name text
)
CREATE TABLE TagSynonyms (
Id number,
SourceTagName text,
TargetTagName text,
CreationDate time,
OwnerUserId number,
AutoRenameCount number,
LastAutoRename time,
Score number,
ApprovedByUserId number,
ApprovalDate time
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description 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 ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress 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 Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE 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 ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment 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 ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description 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 ReviewTaskStates (
Id number,
Name text,
Description text
)
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 PostHistoryTypes (
Id number,
Name 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 CloseReasonTypes (
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 PostTags (
PostId number,
TagId 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Top 10 Non-Null Tags Associated with Posts Created in 2017.
|
SELECT Tags, COUNT(DISTINCT Id) AS post_cnt FROM Posts WHERE YEAR(CreationDate) = '2017' AND NOT Tags IS NULL GROUP BY Tags ORDER BY post_cnt DESC LIMIT 10
|
sede
|
CREATE TABLE table_name_80 (
date_of_appointment VARCHAR,
name VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the date of appointment of nejat biyedi ?
|
SELECT date_of_appointment FROM table_name_80 WHERE name = "nejat biyedić"
|
sql_create_context
|
CREATE TABLE qtb (
CLINIC_ID 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 number,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
MED_SER_ORG_NO text,
MED_TYPE number,
OUT_DIAG_DIS_CD text,
OUT_DIAG_DIS_NM text,
OUT_DIAG_DOC_CD text,
OUT_DIAG_DOC_NM text,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
PERSON_AGE number,
PERSON_ID text,
PERSON_NM text,
PERSON_SEX number,
REIMBURSEMENT_FLG number,
REMOTE_SETTLE_FLG text,
SERVANT_FLG text,
SOC_SRT_CARD text,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE t_kc22 (
AMOUNT number,
CHA_ITEM_LEV number,
DATA_ID text,
DIRE_TYPE number,
DOSE_FORM text,
DOSE_UNIT text,
EACH_DOSAGE text,
EXP_OCC_DATE time,
FLX_MED_ORG_ID text,
FXBZ number,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
MED_CLINIC_ID text,
MED_DIRE_CD text,
MED_DIRE_NM text,
MED_EXP_BILL_ID text,
MED_EXP_DET_ID text,
MED_INV_ITEM_TYPE text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_SELF_AMO number,
PRESCRIPTION_CODE text,
PRESCRIPTION_ID text,
QTY number,
RECIPE_BILL_ID text,
REF_STA_FLG number,
REIMBURS_TYPE number,
REMOTE_SETTLE_FLG text,
RER_SOL number,
SELF_PAY_AMO number,
SELF_PAY_PRO number,
SOC_SRT_DIRE_CD text,
SOC_SRT_DIRE_NM text,
SPEC text,
STA_DATE time,
STA_FLG number,
SYNC_TIME time,
TRADE_TYPE number,
UNIVALENT number,
UP_LIMIT_AMO number,
USE_FRE text,
VAL_UNIT text
)
CREATE TABLE gyb (
CLINIC_ID 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 number,
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_CLINIC_ID text,
MED_SAFE_PAY_ID text,
MED_TYPE number,
OLDC_FUND_PAY number,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_ADD_PAY number,
OVE_PAY number,
PERSON_ID text,
PER_ACC_PAY number,
PER_EXP number,
PER_SOL number,
RECEIVER_DEAL_ID text,
RECEIVER_OFFSET_ID text,
RECEIVER_REVOKE_ID text,
RECIPE_BILL_ID text,
REF_SLT_FLG number,
REIMBURS_FLG number,
SENDER_DEAL_ID text,
SENDER_OFFSET_ID text,
SENDER_REVOKE_ID text,
SPE_FUND_PAY number,
SUP_ADD_PAY number,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE zyb (
CLINIC_ID 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 number,
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 mzb (
CLINIC_ID 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 number,
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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 从0二年十一月十二日到一二年八月九日，患者戚鸿振的医保个人账户总共被刷了多少金额
|
SELECT SUM(t_kc24.PER_ACC_PAY) FROM qtb JOIN t_kc24 ON qtb.MED_CLINIC_ID = t_kc24.MED_CLINIC_ID WHERE qtb.PERSON_NM = '戚鸿振' AND t_kc24.CLINIC_SLT_DATE BETWEEN '2002-11-12' AND '2012-08-09' UNION SELECT SUM(t_kc24.PER_ACC_PAY) FROM gyb JOIN t_kc24 ON gyb.MED_CLINIC_ID = t_kc24.MED_CLINIC_ID WHERE gyb.PERSON_NM = '戚鸿振' AND t_kc24.CLINIC_SLT_DATE BETWEEN '2002-11-12' AND '2012-08-09' UNION SELECT SUM(t_kc24.PER_ACC_PAY) FROM zyb JOIN t_kc24 ON zyb.MED_CLINIC_ID = t_kc24.MED_CLINIC_ID WHERE zyb.PERSON_NM = '戚鸿振' AND t_kc24.CLINIC_SLT_DATE BETWEEN '2002-11-12' AND '2012-08-09' UNION SELECT SUM(t_kc24.PER_ACC_PAY) FROM mzb JOIN t_kc24 ON mzb.MED_CLINIC_ID = t_kc24.MED_CLINIC_ID WHERE mzb.PERSON_NM = '戚鸿振' AND t_kc24.CLINIC_SLT_DATE BETWEEN '2002-11-12' AND '2012-08-09'
|
css
|
CREATE TABLE volume (
Volume_ID int,
Volume_Issue text,
Issue_Date text,
Weeks_on_Top real,
Song text,
Artist_ID int
)
CREATE TABLE artist (
Artist_ID int,
Artist text,
Age int,
Famous_Title text,
Famous_Release_date text
)
CREATE TABLE music_festival (
ID int,
Music_Festival text,
Date_of_ceremony text,
Category text,
Volume int,
Result text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Return the number of music festivals of each category.
|
SELECT Category, COUNT(*) FROM music_festival GROUP BY Category
|
nvbench
|
CREATE TABLE table_name_87 (
year VARCHAR,
points INTEGER
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the total number of years that an entrant had more than 0 points?
|
SELECT COUNT(year) FROM table_name_87 WHERE points > 0
|
sql_create_context
|
CREATE TABLE table_name_8 (
match_points VARCHAR,
points_against VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What match points have 755 as the points against?
|
SELECT match_points FROM table_name_8 WHERE points_against = "755"
|
sql_create_context
|
CREATE TABLE table_204_70 (
id number,
"pick #" number,
"nfl team" text,
"player" text,
"position" text,
"college" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- which position between the quarterback and defensive end has the larger count ?
|
SELECT "position" FROM table_204_70 WHERE "position" IN ('quarterback', 'defensive end') GROUP BY "position" ORDER BY COUNT(*) DESC LIMIT 1
|
squall
|
CREATE TABLE table_name_29 (
choreographer_s_ VARCHAR,
style VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who was the choreographer for the dance style of Jazz?
|
SELECT choreographer_s_ FROM table_name_29 WHERE style = "jazz"
|
sql_create_context
|
CREATE TABLE table_30826 (
"DrumSet Name" text,
"Product Line" text,
"Years Available" text,
"Drum Module" text,
"KickDrum Pad" text,
"Snare Pad" text,
"Tom-Tom Pads" text,
"Hi-HatPad/ Controller" text,
"CrashandRide CymbalPads" text,
"DrumStand (oftenoptional)" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the crashandride cymbalpads for the drumset name td-9k2
|
SELECT "CrashandRide CymbalPads" FROM table_30826 WHERE "DrumSet Name" = 'TD-9K2'
|
wikisql
|
CREATE TABLE table_30932 (
"Series #" real,
"Production Code" real,
"Title" text,
"Directed by" text,
"Written by" text,
"United States Original Airdate" text,
"Canada Original Airdate" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What are the titles of episodes written by Eric Trueheart?
|
SELECT "Title" FROM table_30932 WHERE "Written by" = 'Eric Trueheart'
|
wikisql
|
CREATE TABLE table_26962 (
"Name" text,
"Position" text,
"Period" text,
"Appearances\u00b9" real,
"Goals\u00b9" real,
"Nationality\u00b2" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the highest number of goals scored
|
SELECT MAX("Goals\u00b9") FROM table_26962
|
wikisql
|
CREATE TABLE table_name_3 (
score VARCHAR,
home_team VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the score of the wigan athletic home team?
|
SELECT score FROM table_name_3 WHERE home_team = "wigan athletic"
|
sql_create_context
|
CREATE TABLE table_60471 (
"English name" text,
"Thai name" text,
"Abbr." text,
"Transcription" text,
"Sanskrit word" text,
"Zodiac sign" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the English word that is abbreviated . .?
|
SELECT "English name" FROM table_60471 WHERE "Abbr." = 'พ.ย.'
|
wikisql
|
CREATE TABLE table_23614702_1 (
main_artillery VARCHAR,
warship VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What's Blanco Encalada's main artillery?
|
SELECT main_artillery FROM table_23614702_1 WHERE warship = "Blanco Encalada"
|
sql_create_context
|
CREATE TABLE table_23616 (
"Divisions" text,
"Prize (EUR)" text,
"Odds of winning (1in)" text,
"Number of winning tickets" real,
"In order to win" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many odd of winning have 6th as the division?
|
SELECT "Odds of winning (1in)" FROM table_23616 WHERE "Divisions" = '6th'
|
wikisql
|
CREATE TABLE table_47656 (
"Nat." text,
"Name" text,
"Since" text,
"Goals" real,
"Ends" text,
"Transfer fee" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is Since, when Transfer Fee is ' 12m'?
|
SELECT "Since" FROM table_47656 WHERE "Transfer fee" = '£ 12m'
|
wikisql
|
CREATE TABLE table_55447 (
"Date" text,
"Tournament" text,
"Winning score" text,
"To par" text,
"Margin of victory" text,
"Runner(s)-up" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who was the Runner(s)-up in the race with a winning score of 67-66-65-69=267?
|
SELECT "Runner(s)-up" FROM table_55447 WHERE "Winning score" = '67-66-65-69=267'
|
wikisql
|
CREATE TABLE table_59674 (
"District" text,
"Incumbent" text,
"Party" text,
"First elected" real,
"Results" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What district is Jim Moran the incumbent for.
|
SELECT "District" FROM table_59674 WHERE "Incumbent" = 'jim moran'
|
wikisql
|
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
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 microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what was the top four most frequent diagnosis that patients were diagnosed with in the same hospital visit after receiving a cardiology consultation procedure until 2103?
|
SELECT t3.diagnosisname FROM (SELECT t2.diagnosisname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, treatment.treatmenttime, patient.patienthealthsystemstayid FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE treatment.treatmentname = 'cardiology consultation' AND STRFTIME('%y', treatment.treatmenttime) <= '2103') AS t1 JOIN (SELECT patient.uniquepid, diagnosis.diagnosisname, diagnosis.diagnosistime, patient.patienthealthsystemstayid FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE STRFTIME('%y', diagnosis.diagnosistime) <= '2103') AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.treatmenttime < t2.diagnosistime AND t1.patienthealthsystemstayid = t2.patienthealthsystemstayid GROUP BY t2.diagnosisname) AS t3 WHERE t3.c1 <= 4
|
eicu
|
CREATE TABLE table_48834 (
"Game" text,
"Date" text,
"Score" text,
"Opponent" text,
"Attendance" real,
"Record" text,
"Points" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the Opponent of the game with more than 13,567 in Attendance with more than 5 Points?
|
SELECT "Opponent" FROM table_48834 WHERE "Points" > '5' AND "Attendance" > '13,567'
|
wikisql
|
CREATE TABLE table_name_45 (
Id VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the 2009 when there's 11.8 in 2005 and less than 12.6 in 2006?
|
SELECT MIN(2009) FROM table_name_45 WHERE 2005 = 11.8 AND 2006 < 12.6
|
sql_create_context
|
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE ReviewTaskTypes (
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 PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
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 ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE ReviewTaskStates (
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 ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment 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 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
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description 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 PostHistory (
Id number,
PostHistoryTypeId number,
PostId number,
RevisionGUID other,
CreationDate time,
UserId number,
UserDisplayName text,
Comment text,
Text text,
ContentLicense 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 ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE PostHistoryTypes (
Id number,
Name 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 SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE VoteTypes (
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 PostTypes (
Id number,
Name 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 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.
-- Search for Geocoding posts within the Google Maps API tag that has at least 10 answers.
|
SELECT i.Id, i.CreationDate, i.Title, i.Tags, i.Body, i.Score, i.AnswerCount, i.CommentCount, i.Link FROM (SELECT DISTINCT p.Id, p.CreationDate, p.Title, p.Tags, p.Body, p.Score, p.AnswerCount, p.CommentCount, CONCAT('http://stackoverflow.com/questions/', p.Id) AS Link FROM Posts AS p INNER JOIN PostTags AS pt ON p.Id = pt.PostId INNER JOIN Tags AS t ON pt.TagId = t.Id WHERE t.TagName LIKE '%google-maps%') AS i WHERE (LOWER(i.Body) LIKE '%geoc%' OR LOWER(i.Title) LIKE '%geoc%') AND (i.AnswerCount >= 10)
|
sede
|
CREATE TABLE table_79875 (
"Place" text,
"Player" text,
"Country" text,
"Score" text,
"To par" text,
"Money ( $ )" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the largest money for a t4 place, for Tiger Woods?
|
SELECT MAX("Money ( $ )") FROM table_79875 WHERE "Place" = 't4' AND "Player" = 'tiger woods'
|
wikisql
|
CREATE TABLE table_16779068_5 (
weightlifter VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the 3 where weightlifter is m. van der goten ( bel )
|
SELECT 3 FROM table_16779068_5 WHERE weightlifter = "M. Van der Goten ( BEL )"
|
sql_create_context
|
CREATE TABLE table_name_15 (
erp_w VARCHAR,
frequency_mhz VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which ERP W has a Frequency MHz of 88.5 FM?
|
SELECT erp_w FROM table_name_15 WHERE frequency_mhz = "88.5 fm"
|
sql_create_context
|
CREATE TABLE table_203_584 (
id number,
"date" text,
"race name" text,
"d(f)" number,
"course" text,
"prize (\u00a3)" number,
"odds" text,
"runners" number,
"place" number,
"margin" number,
"winner/runner-up" text,
"time" text,
"jockey" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- which race in 1880 took the least amount of time to finish ?
|
SELECT "race name" FROM table_203_584 WHERE "date" = 1880 ORDER BY "date" LIMIT 1
|
squall
|
CREATE TABLE table_2668199_2 (
candidates VARCHAR,
party VARCHAR,
result VARCHAR,
first_elected VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who were all the candidates when the results were re-elected, first elected was 1832 and the party was jacksonian?
|
SELECT candidates FROM table_2668199_2 WHERE result = "Re-elected" AND first_elected = "1832" AND party = "Jacksonian"
|
sql_create_context
|
CREATE TABLE table_26375386_20 (
public VARCHAR,
vote_percentage VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the public when the vote percentage is 16.0%
|
SELECT public FROM table_26375386_20 WHERE vote_percentage = "16.0%"
|
sql_create_context
|
CREATE TABLE table_204_711 (
id number,
"dance" text,
"best dancer(s)" text,
"best score" number,
"worst dancer(s)" text,
"worst score" number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how many of the worst dancers scored less than 15 points for their dance ?
|
SELECT COUNT("worst dancer(s)") FROM table_204_711 WHERE "worst score" < 15
|
squall
|
CREATE TABLE table_name_84 (
location VARCHAR,
opponent VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which location has an Opponent of masanori suda?
|
SELECT location FROM table_name_84 WHERE opponent = "masanori suda"
|
sql_create_context
|
CREATE TABLE table_name_86 (
lost INTEGER,
against INTEGER
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the average number lost when the against value is less than 5?
|
SELECT AVG(lost) FROM table_name_86 WHERE against < 5
|
sql_create_context
|
CREATE TABLE table_74537 (
"Name" text,
"Circuit" text,
"Date" text,
"Winning driver" text,
"Winning constructor" text,
"Report" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Tell me the report for 30 july
|
SELECT "Report" FROM table_74537 WHERE "Date" = '30 july'
|
wikisql
|
CREATE TABLE Financial_Transactions (
transaction_id INTEGER,
previous_transaction_id INTEGER,
account_id INTEGER,
card_id INTEGER,
transaction_type VARCHAR(15),
transaction_date DATETIME,
transaction_amount DOUBLE,
transaction_comment VARCHAR(255),
other_transaction_details VARCHAR(255)
)
CREATE TABLE Customers (
customer_id INTEGER,
customer_first_name VARCHAR(20),
customer_last_name VARCHAR(20),
customer_address VARCHAR(255),
customer_phone VARCHAR(255),
customer_email VARCHAR(255),
other_customer_details VARCHAR(255)
)
CREATE TABLE Customers_Cards (
card_id INTEGER,
customer_id INTEGER,
card_type_code VARCHAR(15),
card_number VARCHAR(80),
date_valid_from DATETIME,
date_valid_to DATETIME,
other_card_details VARCHAR(255)
)
CREATE TABLE Accounts (
account_id INTEGER,
customer_id INTEGER,
account_name VARCHAR(50),
other_account_details VARCHAR(255)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Return a bar chart on what are the different card types, and how many transactions have been made with each?, and I want to rank by the x-axis in ascending please.
|
SELECT card_type_code, COUNT(*) FROM Financial_Transactions AS T1 JOIN Customers_Cards AS T2 ON T1.card_id = T2.card_id GROUP BY T2.card_type_code ORDER BY card_type_code
|
nvbench
|
CREATE TABLE zyb (
CLINIC_ID 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 number,
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 gyb (
CLINIC_ID 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 number,
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 qtb (
CLINIC_ID 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 number,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
MED_SER_ORG_NO text,
MED_TYPE number,
OUT_DIAG_DIS_CD text,
OUT_DIAG_DIS_NM text,
OUT_DIAG_DOC_CD text,
OUT_DIAG_DOC_NM text,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
PERSON_AGE number,
PERSON_ID text,
PERSON_NM text,
PERSON_SEX number,
REIMBURSEMENT_FLG number,
REMOTE_SETTLE_FLG text,
SERVANT_FLG text,
SOC_SRT_CARD text,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE t_kc22 (
AMOUNT number,
CHA_ITEM_LEV number,
DATA_ID text,
DIRE_TYPE number,
DOSE_FORM text,
DOSE_UNIT text,
EACH_DOSAGE text,
EXP_OCC_DATE time,
FLX_MED_ORG_ID text,
FXBZ number,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
MED_CLINIC_ID text,
MED_DIRE_CD text,
MED_DIRE_NM text,
MED_EXP_BILL_ID text,
MED_EXP_DET_ID text,
MED_INV_ITEM_TYPE text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_SELF_AMO number,
PRESCRIPTION_CODE text,
PRESCRIPTION_ID text,
QTY number,
RECIPE_BILL_ID text,
REF_STA_FLG number,
REIMBURS_TYPE number,
REMOTE_SETTLE_FLG text,
RER_SOL number,
SELF_PAY_AMO number,
SELF_PAY_PRO number,
SOC_SRT_DIRE_CD text,
SOC_SRT_DIRE_NM text,
SPEC text,
STA_DATE time,
STA_FLG number,
SYNC_TIME time,
TRADE_TYPE number,
UNIVALENT number,
UP_LIMIT_AMO number,
USE_FRE text,
VAL_UNIT text
)
CREATE TABLE t_kc24 (
ACCOUNT_DASH_DATE time,
ACCOUNT_DASH_FLG number,
CASH_PAY number,
CIVIL_SUBSIDY number,
CKC102 number,
CLINIC_ID text,
CLINIC_SLT_DATE time,
COMP_ID text,
COM_ACC_PAY number,
COM_PAY number,
DATA_ID text,
ENT_ACC_PAY number,
ENT_PAY number,
FLX_MED_ORG_ID text,
ILL_PAY number,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
LAS_OVE_PAY number,
MED_AMOUT number,
MED_CLINIC_ID text,
MED_SAFE_PAY_ID text,
MED_TYPE number,
OLDC_FUND_PAY number,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_ADD_PAY number,
OVE_PAY number,
PERSON_ID text,
PER_ACC_PAY number,
PER_EXP number,
PER_SOL number,
RECEIVER_DEAL_ID text,
RECEIVER_OFFSET_ID text,
RECEIVER_REVOKE_ID text,
RECIPE_BILL_ID text,
REF_SLT_FLG number,
REIMBURS_FLG number,
SENDER_DEAL_ID text,
SENDER_OFFSET_ID text,
SENDER_REVOKE_ID text,
SPE_FUND_PAY number,
SUP_ADD_PAY number,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE mzb (
CLINIC_ID 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 number,
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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 有多少门诊手术费是在2005年2月6日到2017年8月25日期间参保人姜舒方交的？
|
SELECT SUM(t_kc22.AMOUNT) FROM t_kc22 JOIN mzb ON mzb.MED_ORG_DEPT_CD = t_kc22.MED_CLINIC_ID WHERE mzb.PERSON_SEX = '姜舒方' AND t_kc22.STA_DATE BETWEEN '2005-02-06' AND '2017-08-25' AND t_kc22.MED_INV_ITEM_TYPE = '手术费'
|
css
|
CREATE TABLE table_5594 (
"Date" text,
"Visitor" text,
"Score" text,
"Home" text,
"Record" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the oilers record for the game on November 27 when the Edmonton oilers were playing at home and the Chicago Blackhawks were the visiting team?
|
SELECT "Record" FROM table_5594 WHERE "Home" = 'edmonton oilers' AND "Visitor" = 'chicago blackhawks' AND "Date" = 'november 27'
|
wikisql
|
CREATE TABLE Manufacturers (
Code INTEGER,
Name VARCHAR(255),
Headquarter VARCHAR(255),
Founder VARCHAR(255),
Revenue REAL
)
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255),
Price DECIMAL,
Manufacturer INTEGER
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- For those records from the products and each product's manufacturer, visualize a bar chart about the distribution of name and the sum of manufacturer , and group by attribute name, and rank by the bars in desc.
|
SELECT T1.Name, T1.Manufacturer FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T1.Name ORDER BY T1.Name DESC
|
nvbench
|
CREATE TABLE table_26136228_3 (
directed_by VARCHAR,
series_no VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who directed episode 11 in the series?
|
SELECT directed_by FROM table_26136228_3 WHERE series_no = 11
|
sql_create_context
|
CREATE TABLE table_name_14 (
date VARCHAR,
year VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the date in 1986?
|
SELECT date FROM table_name_14 WHERE year = 1986
|
sql_create_context
|
CREATE TABLE table_67834 (
"Sydney" text,
"Melbourne" text,
"Perth" text,
"Adelaide" text,
"Gold Coast" text,
"Auckland" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- yes or no for the adelaide with no for auckland, yes for melbourne, yes for the gold coast?
|
SELECT "Adelaide" FROM table_67834 WHERE "Auckland" = 'no' AND "Melbourne" = 'yes' AND "Gold Coast" = 'yes'
|
wikisql
|
CREATE TABLE table_23284271_11 (
date VARCHAR,
score VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the date for l 89 92 (ot)
|
SELECT date FROM table_23284271_11 WHERE score = "L 89–92 (OT)"
|
sql_create_context
|
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- find the gender of subject name tiffany williams.
|
SELECT demographic.gender FROM demographic WHERE demographic.name = "Tiffany Williams"
|
mimicsql_data
|
CREATE TABLE table_66349 (
"Manufacturer" text,
"Model" text,
"Transmission" text,
"Engine Capacity" text,
"Fuel Type" text,
"L/100km Urban (Cold)" real,
"L/100km Extra-Urban" real,
"L/100km Combined" real,
"mpg-UK Urban (Cold)" real,
"mpg-UK Extra-Urban" real,
"mpg-UK Combined" real,
"mpg-US Urban" real,
"mpg-US Extra-Urban" real,
"mpg-US Combined" real,
"CO 2 g/km" real,
"Green Rating" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Fuel Type that has a mpg-US Extra-Urban larger than 53.5, and a mpg-US Combined larger than 50 from renault?
|
SELECT "Fuel Type" FROM table_66349 WHERE "mpg-US Extra-Urban" > '53.5' AND "mpg-US Combined" > '50' AND "Manufacturer" = 'renault'
|
wikisql
|
CREATE TABLE table_29622 (
"Game" real,
"January" real,
"Opponent" text,
"Score" text,
"Location/Attendance" text,
"Record" text,
"Points" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- On what day in January was the record 15-29-3?
|
SELECT MAX("January") FROM table_29622 WHERE "Record" = '15-29-3'
|
wikisql
|
CREATE TABLE club (
club_id number,
name text,
region text,
start_year text
)
CREATE TABLE player (
player_id number,
name text,
position text,
club_id number,
apps number,
tries number,
goals text,
points number
)
CREATE TABLE club_rank (
rank number,
club_id number,
gold number,
silver number,
bronze number,
total number
)
CREATE TABLE competition_result (
competition_id number,
club_id_1 number,
club_id_2 number,
score text
)
CREATE TABLE competition (
competition_id number,
year number,
competition_type text,
country text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many different position for players are listed?
|
SELECT COUNT(DISTINCT position) FROM player
|
spider
|
CREATE TABLE table_871 (
"Draft Year" real,
"Player" text,
"Position" text,
"Round" real,
"Overall" real,
"NFL Team" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What numer pick in the draft for jerry marion
|
SELECT MAX("Overall") FROM table_871 WHERE "Player" = 'Jerry Marion'
|
wikisql
|
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 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 event (
ID int,
Name text,
Stadium_ID int,
Year text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Give me the comparison about meter_100 over the meter_500 .
|
SELECT meter_500, meter_100 FROM swimmer
|
nvbench
|
CREATE TABLE table_2182562_1 (
year VARCHAR,
winnings VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What year did the winnings equal $281,945?
|
SELECT year FROM table_2182562_1 WHERE winnings = "$281,945"
|
sql_create_context
|
CREATE TABLE table_name_63 (
attendance VARCHAR,
site VARCHAR,
opponent VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the number in attendance at Dowdy-Ficklen stadium Greenville, NC, and the opponent was Ohio?
|
SELECT attendance FROM table_name_63 WHERE site = "dowdy-ficklen stadium • greenville, nc" AND opponent = "ohio"
|
sql_create_context
|
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE 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.
-- let me know both the long title and short title of diagnoses for patient with diagnoses icd9 code 4271.
|
SELECT diagnoses.short_title, diagnoses.long_title FROM diagnoses WHERE diagnoses.icd9_code = "4271"
|
mimicsql_data
|
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