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stringlengths 151
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CREATE TABLE table_name_59 (
career_with_the_franchise_ VARCHAR,
b_ VARCHAR,
player VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is Career with the franchise [b ], when Player is 'Willie Anderson Category:Articles with hCards'?
| SELECT career_with_the_franchise_ AS "b_" FROM table_name_59 WHERE player = "willie anderson category:articles with hcards" | 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 prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- count the number of inpatient hospital admitted patients who were discharged to skilled nursing facility.
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_location = "TRSF WITHIN THIS FACILITY" AND demographic.discharge_location = "SNF" | mimicsql_data |
CREATE TABLE t_kc24 (
ACCOUNT_DASH_DATE time,
ACCOUNT_DASH_FLG number,
CASH_PAY number,
CIVIL_SUBSIDY number,
CKC102 number,
CLINIC_ID text,
CLINIC_SLT_DATE time,
COMP_ID text,
COM_ACC_PAY number,
COM_PAY number,
DATA_ID text,
ENT_ACC_PAY number,
ENT_PAY number,
FLX_MED_ORG_ID text,
ILL_PAY number,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
LAS_OVE_PAY number,
MED_AMOUT number,
MED_CLINIC_ID text,
MED_SAFE_PAY_ID text,
MED_TYPE number,
OLDC_FUND_PAY number,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_ADD_PAY number,
OVE_PAY number,
PERSON_ID text,
PER_ACC_PAY number,
PER_EXP number,
PER_SOL number,
RECEIVER_DEAL_ID text,
RECEIVER_OFFSET_ID text,
RECEIVER_REVOKE_ID text,
RECIPE_BILL_ID text,
REF_SLT_FLG number,
REIMBURS_FLG number,
SENDER_DEAL_ID text,
SENDER_OFFSET_ID text,
SENDER_REVOKE_ID text,
SPE_FUND_PAY number,
SUP_ADD_PAY number,
SYNC_TIME time,
TRADE_TYPE number,
t_kc21_CLINIC_ID text,
t_kc21_CLINIC_TYPE text,
t_kc21_COMP_ID text,
t_kc21_DATA_ID text,
t_kc21_DIFF_PLACE_FLG number,
t_kc21_FERTILITY_STS number,
t_kc21_FLX_MED_ORG_ID text,
t_kc21_HOSP_LEV number,
t_kc21_HOSP_STS number,
t_kc21_IDENTITY_CARD text,
t_kc21_INPT_AREA_BED text,
t_kc21_INSURED_IDENTITY number,
t_kc21_INSURED_STS text,
t_kc21_INSU_TYPE text,
t_kc21_IN_DIAG_DIS_CD text,
t_kc21_IN_DIAG_DIS_NM text,
t_kc21_IN_HOSP_DATE time,
t_kc21_IN_HOSP_DAYS number,
t_kc21_MAIN_COND_DES text,
t_kc21_MED_AMOUT number,
t_kc21_MED_ORG_DEPT_CD text,
t_kc21_MED_ORG_DEPT_NM text,
t_kc21_MED_SER_ORG_NO text,
t_kc21_MED_TYPE number,
t_kc21_OUT_DIAG_DIS_CD text,
t_kc21_OUT_DIAG_DIS_NM text,
t_kc21_OUT_DIAG_DOC_CD text,
t_kc21_OUT_DIAG_DOC_NM text,
t_kc21_OUT_HOSP_DATE time,
t_kc21_OVERALL_CD_ORG text,
t_kc21_OVERALL_CD_PERSON text,
t_kc21_PERSON_AGE number,
t_kc21_PERSON_ID text,
t_kc21_PERSON_NM text,
t_kc21_PERSON_SEX number,
t_kc21_REIMBURSEMENT_FLG number,
t_kc21_REMOTE_SETTLE_FLG text,
t_kc21_SERVANT_FLG text,
t_kc21_SOC_SRT_CARD text,
t_kc21_SYNC_TIME time,
t_kc21_TRADE_TYPE number
)
CREATE TABLE t_kc22 (
AMOUNT number,
CHA_ITEM_LEV number,
DATA_ID text,
DIRE_TYPE number,
DOSE_FORM text,
DOSE_UNIT text,
EACH_DOSAGE text,
EXP_OCC_DATE time,
FLX_MED_ORG_ID text,
FXBZ number,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
MED_CLINIC_ID text,
MED_DIRE_CD text,
MED_DIRE_NM text,
MED_EXP_BILL_ID text,
MED_EXP_DET_ID text,
MED_INV_ITEM_TYPE text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_SELF_AMO number,
PRESCRIPTION_CODE text,
PRESCRIPTION_ID text,
QTY number,
RECIPE_BILL_ID text,
REF_STA_FLG number,
REIMBURS_TYPE number,
REMOTE_SETTLE_FLG text,
RER_SOL number,
SELF_PAY_AMO number,
SELF_PAY_PRO number,
SOC_SRT_DIRE_CD text,
SOC_SRT_DIRE_NM text,
SPEC text,
STA_DATE time,
STA_FLG number,
SYNC_TIME time,
TRADE_TYPE number,
UNIVALENT number,
UP_LIMIT_AMO number,
USE_FRE text,
VAL_UNIT text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 病人年龄7岁以上的医疗记录的平均医疗费总额有多少
| SELECT AVG(t_kc24.MED_AMOUT) FROM t_kc24 WHERE t_kc24.MED_CLINIC_ID IN (SELECT t_kc24.MED_CLINIC_ID FROM t_kc24 WHERE t_kc24.t_kc21_PERSON_AGE > 7) | css |
CREATE TABLE table_name_87 (
competition VARCHAR,
date VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Tell me the competition of 20 august 2008
| SELECT competition FROM table_name_87 WHERE date = "20 august 2008" | sql_create_context |
CREATE TABLE table_19363 (
"Application" text,
"Version" text,
"Cmdlets" text,
"Provider" text,
"Management GUI" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many of the cmdlets are the 2008 version?
| SELECT COUNT("Cmdlets") FROM table_19363 WHERE "Version" = '2008' | wikisql |
CREATE TABLE table_name_30 (
d_45_o VARCHAR,
d_46_o VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the D 45 O that has D 46 O of d 26
| SELECT d_45_o FROM table_name_30 WHERE d_46_o = "d 26" | sql_create_context |
CREATE TABLE table_61329 (
"Outcome" text,
"Date" real,
"Tournament" text,
"Surface" text,
"Partner" text,
"Opponents in the final" text,
"Score in the final" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the date of Tournament of paris indoor , france?
| SELECT SUM("Date") FROM table_61329 WHERE "Tournament" = 'paris indoor , france' | wikisql |
CREATE TABLE Candidate_Assessments (
candidate_id INTEGER,
qualification CHAR(15),
assessment_date DATETIME,
asessment_outcome_code CHAR(15)
)
CREATE TABLE Student_Course_Registrations (
student_id INTEGER,
course_id INTEGER,
registration_date DATETIME
)
CREATE TABLE Student_Course_Attendance (
student_id INTEGER,
course_id INTEGER,
date_of_attendance DATETIME
)
CREATE TABLE Candidates (
candidate_id INTEGER,
candidate_details VARCHAR(255)
)
CREATE TABLE Students (
student_id INTEGER,
student_details VARCHAR(255)
)
CREATE TABLE People (
person_id INTEGER,
first_name VARCHAR(255),
middle_name VARCHAR(255),
last_name VARCHAR(255),
cell_mobile_number VARCHAR(40),
email_address VARCHAR(40),
login_name VARCHAR(40),
password VARCHAR(40)
)
CREATE TABLE Courses (
course_id VARCHAR(100),
course_name VARCHAR(120),
course_description VARCHAR(255),
other_details VARCHAR(255)
)
CREATE TABLE Addresses (
address_id INTEGER,
line_1 VARCHAR(80),
line_2 VARCHAR(80),
city VARCHAR(50),
zip_postcode CHAR(20),
state_province_county VARCHAR(50),
country VARCHAR(50)
)
CREATE TABLE People_Addresses (
person_address_id INTEGER,
person_id INTEGER,
address_id INTEGER,
date_from DATETIME,
date_to DATETIME
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the total number of last names of all candidates?
| SELECT last_name, COUNT(last_name) FROM People GROUP BY last_name | nvbench |
CREATE TABLE t_kc22 (
AMOUNT number,
CHA_ITEM_LEV number,
DATA_ID text,
DIRE_TYPE number,
DOSE_FORM text,
DOSE_UNIT text,
EACH_DOSAGE text,
EXP_OCC_DATE time,
FLX_MED_ORG_ID text,
FXBZ number,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
MED_CLINIC_ID text,
MED_DIRE_CD text,
MED_DIRE_NM text,
MED_EXP_BILL_ID text,
MED_EXP_DET_ID text,
MED_INV_ITEM_TYPE text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_SELF_AMO number,
PRESCRIPTION_CODE text,
PRESCRIPTION_ID text,
QTY number,
RECIPE_BILL_ID text,
REF_STA_FLG number,
REIMBURS_TYPE number,
REMOTE_SETTLE_FLG text,
RER_SOL number,
SELF_PAY_AMO number,
SELF_PAY_PRO number,
SOC_SRT_DIRE_CD text,
SOC_SRT_DIRE_NM text,
SPEC text,
STA_DATE time,
STA_FLG number,
SYNC_TIME time,
TRADE_TYPE number,
UNIVALENT number,
UP_LIMIT_AMO number,
USE_FRE text,
VAL_UNIT text
)
CREATE TABLE t_kc24 (
ACCOUNT_DASH_DATE time,
ACCOUNT_DASH_FLG number,
CASH_PAY number,
CIVIL_SUBSIDY number,
CKC102 number,
CLINIC_ID text,
CLINIC_SLT_DATE time,
COMP_ID text,
COM_ACC_PAY number,
COM_PAY number,
DATA_ID text,
ENT_ACC_PAY number,
ENT_PAY number,
FLX_MED_ORG_ID text,
ILL_PAY number,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
LAS_OVE_PAY number,
MED_AMOUT number,
MED_CLINIC_ID text,
MED_SAFE_PAY_ID text,
MED_TYPE number,
OLDC_FUND_PAY number,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_ADD_PAY number,
OVE_PAY number,
PERSON_ID text,
PER_ACC_PAY number,
PER_EXP number,
PER_SOL number,
RECEIVER_DEAL_ID text,
RECEIVER_OFFSET_ID text,
RECEIVER_REVOKE_ID text,
RECIPE_BILL_ID text,
REF_SLT_FLG number,
REIMBURS_FLG number,
SENDER_DEAL_ID text,
SENDER_OFFSET_ID text,
SENDER_REVOKE_ID text,
SPE_FUND_PAY number,
SUP_ADD_PAY number,
SYNC_TIME time,
TRADE_TYPE number,
t_kc21_CLINIC_ID text,
t_kc21_CLINIC_TYPE text,
t_kc21_COMP_ID text,
t_kc21_DATA_ID text,
t_kc21_DIFF_PLACE_FLG number,
t_kc21_FERTILITY_STS number,
t_kc21_FLX_MED_ORG_ID text,
t_kc21_HOSP_LEV number,
t_kc21_HOSP_STS number,
t_kc21_IDENTITY_CARD text,
t_kc21_INPT_AREA_BED text,
t_kc21_INSURED_IDENTITY number,
t_kc21_INSURED_STS text,
t_kc21_INSU_TYPE text,
t_kc21_IN_DIAG_DIS_CD text,
t_kc21_IN_DIAG_DIS_NM text,
t_kc21_IN_HOSP_DATE time,
t_kc21_IN_HOSP_DAYS number,
t_kc21_MAIN_COND_DES text,
t_kc21_MED_AMOUT number,
t_kc21_MED_ORG_DEPT_CD text,
t_kc21_MED_ORG_DEPT_NM text,
t_kc21_MED_SER_ORG_NO text,
t_kc21_MED_TYPE number,
t_kc21_OUT_DIAG_DIS_CD text,
t_kc21_OUT_DIAG_DIS_NM text,
t_kc21_OUT_DIAG_DOC_CD text,
t_kc21_OUT_DIAG_DOC_NM text,
t_kc21_OUT_HOSP_DATE time,
t_kc21_OVERALL_CD_ORG text,
t_kc21_OVERALL_CD_PERSON text,
t_kc21_PERSON_AGE number,
t_kc21_PERSON_ID text,
t_kc21_PERSON_NM text,
t_kc21_PERSON_SEX number,
t_kc21_REIMBURSEMENT_FLG number,
t_kc21_REMOTE_SETTLE_FLG text,
t_kc21_SERVANT_FLG text,
t_kc21_SOC_SRT_CARD text,
t_kc21_SYNC_TIME time,
t_kc21_TRADE_TYPE number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 患者马曼丽的医保金额被花了多少，时间是从11年3月22日到19年4月16日
| SELECT SUM(t_kc24.PER_ACC_PAY) FROM t_kc24 WHERE t_kc24.t_kc21_PERSON_NM = '马曼丽' AND t_kc24.CLINIC_SLT_DATE BETWEEN '2011-03-22' AND '2019-04-16' | css |
CREATE TABLE table_27879 (
"Settlement" text,
"Cyrillic Name Other Names" text,
"Type" text,
"Population (2011)" real,
"Largest ethnic group (2002)" text,
"Dominant religion (2002)" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the largest ethnic group in in the settlement with the cyrillic name ?
| SELECT "Largest ethnic group (2002)" FROM table_27879 WHERE "Cyrillic Name Other Names" = 'Банатски Карловац' | wikisql |
CREATE TABLE table_29202 (
"Rank" real,
"Rider" text,
"Sat 21 Aug" text,
"Mon 23 Aug" text,
"Tues 24 Aug" text,
"Wed 25 Aug" text,
"Thurs 26 Aug" text,
"Fri 27 Aug" text,
"Sat 28 Aug" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the Weds 25 Aug time for the driver whose Aug 27 time was 22' 23.97 101.065mph?
| SELECT "Wed 25 Aug" FROM table_29202 WHERE "Fri 27 Aug" = '22'' 23.97 101.065mph' | wikisql |
CREATE TABLE table_204_557 (
id number,
"#" number,
"date" text,
"visitor" text,
"score" text,
"home" text,
"record" text,
"pts" number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- which month had the most games ?
| SELECT "date" FROM table_204_557 GROUP BY "date" ORDER BY COUNT(*) DESC LIMIT 1 | squall |
CREATE TABLE program (
program_id number,
name text,
origin text,
launch number,
owner text
)
CREATE TABLE broadcast (
channel_id number,
program_id number,
time_of_day text
)
CREATE TABLE broadcast_share (
channel_id number,
program_id number,
date text,
share_in_percent number
)
CREATE TABLE channel (
channel_id number,
name text,
owner text,
share_in_percent number,
rating_in_percent number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Show me the owner of the channel with the highest rating.
| SELECT owner FROM channel ORDER BY rating_in_percent DESC LIMIT 1 | spider |
CREATE TABLE table_49473 (
"Tongan" text,
"Niuean" text,
"S\u0101moan" text,
"Takuu" text,
"Tahitian" text,
"Rarotongan" text,
"M\u0101ori" text,
"North Marquesan" text,
"South Marquesan" text,
"Hawai'ian" text,
"Mangarevan" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What kind of North Marquesan has a Takuu of / ani/?
| SELECT "North Marquesan" FROM table_49473 WHERE "Takuu" = '/ɾani/' | wikisql |
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 jybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH text,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
JYKSBM text,
JYKSMC text,
JYLX number,
JYRQ time,
JYSQJGMC text,
JYXMDM text,
JYXMMC text,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM text,
YLJGDM_MZJZJLB text,
YLJGDM_ZYJZJLB text
)
CREATE TABLE person_info (
CSD text,
CSRQ time,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
MZDM text,
MZMC text,
RYBH text,
XBDM number,
XBMC text,
XLDM text,
XLMC text,
XM text,
ZYLBDM text,
ZYMC text
)
CREATE TABLE 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 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 zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
YLJGDM text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 以前69072554这个患者是在哪就真的
| SELECT wdmzjzjlb.YLJGDM FROM hz_info JOIN wdmzjzjlb ON hz_info.YLJGDM = wdmzjzjlb.YLJGDM AND hz_info.KH = wdmzjzjlb.KH AND hz_info.KLX = wdmzjzjlb.KLX WHERE hz_info.RYBH = '69072554' UNION SELECT bdmzjzjlb.YLJGDM FROM hz_info JOIN bdmzjzjlb ON hz_info.YLJGDM = bdmzjzjlb.YLJGDM AND hz_info.KH = bdmzjzjlb.KH AND hz_info.KLX = bdmzjzjlb.KLX WHERE hz_info.RYBH = '69072554' UNION SELECT zyjzjlb.YLJGDM FROM hz_info JOIN zyjzjlb ON hz_info.YLJGDM = zyjzjlb.YLJGDM AND hz_info.KH = zyjzjlb.KH AND hz_info.KLX = zyjzjlb.KLX WHERE hz_info.RYBH = '69072554' | css |
CREATE TABLE state (
state_code text,
state_name text,
country_name text
)
CREATE TABLE aircraft (
aircraft_code varchar,
aircraft_description varchar,
manufacturer varchar,
basic_type varchar,
engines int,
propulsion varchar,
wide_body varchar,
wing_span int,
length int,
weight int,
capacity int,
pay_load int,
cruising_speed int,
range_miles int,
pressurized varchar
)
CREATE TABLE flight (
aircraft_code_sequence text,
airline_code varchar,
airline_flight text,
arrival_time int,
connections int,
departure_time int,
dual_carrier text,
flight_days text,
flight_id int,
flight_number int,
from_airport varchar,
meal_code text,
stops int,
time_elapsed int,
to_airport varchar
)
CREATE TABLE month (
month_number int,
month_name text
)
CREATE TABLE fare_basis (
fare_basis_code text,
booking_class text,
class_type text,
premium text,
economy text,
discounted text,
night text,
season text,
basis_days text
)
CREATE TABLE date_day (
month_number int,
day_number int,
year int,
day_name varchar
)
CREATE TABLE class_of_service (
booking_class varchar,
rank int,
class_description text
)
CREATE TABLE restriction (
restriction_code text,
advance_purchase int,
stopovers text,
saturday_stay_required text,
minimum_stay int,
maximum_stay int,
application text,
no_discounts text
)
CREATE TABLE days (
days_code varchar,
day_name varchar
)
CREATE TABLE code_description (
code varchar,
description text
)
CREATE TABLE airport_service (
city_code varchar,
airport_code varchar,
miles_distant int,
direction varchar,
minutes_distant int
)
CREATE TABLE flight_leg (
flight_id int,
leg_number int,
leg_flight int
)
CREATE TABLE fare (
fare_id int,
from_airport varchar,
to_airport varchar,
fare_basis_code text,
fare_airline text,
restriction_code text,
one_direction_cost int,
round_trip_cost int,
round_trip_required varchar
)
CREATE TABLE flight_stop (
flight_id int,
stop_number int,
stop_days text,
stop_airport text,
arrival_time int,
arrival_airline text,
arrival_flight_number int,
departure_time int,
departure_airline text,
departure_flight_number int,
stop_time int
)
CREATE TABLE food_service (
meal_code text,
meal_number int,
compartment text,
meal_description varchar
)
CREATE TABLE airport (
airport_code varchar,
airport_name text,
airport_location text,
state_code varchar,
country_name varchar,
time_zone_code varchar,
minimum_connect_time int
)
CREATE TABLE city (
city_code varchar,
city_name varchar,
state_code varchar,
country_name varchar,
time_zone_code varchar
)
CREATE TABLE equipment_sequence (
aircraft_code_sequence varchar,
aircraft_code varchar
)
CREATE TABLE time_interval (
period text,
begin_time int,
end_time int
)
CREATE TABLE flight_fare (
flight_id int,
fare_id int
)
CREATE TABLE airline (
airline_code varchar,
airline_name text,
note text
)
CREATE TABLE dual_carrier (
main_airline varchar,
low_flight_number int,
high_flight_number int,
dual_airline varchar,
service_name text
)
CREATE TABLE time_zone (
time_zone_code text,
time_zone_name text,
hours_from_gmt int
)
CREATE TABLE ground_service (
city_code text,
airport_code text,
transport_type text,
ground_fare int
)
CREATE TABLE compartment_class (
compartment varchar,
class_type varchar
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- give me the earliest flight on AA tomorrow from ST. PETERSBURG to MILWAUKEE
| SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day, days, flight WHERE (((CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'MILWAUKEE' AND date_day.day_number = 20 AND date_day.month_number = 1 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'ST. PETERSBURG' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND flight.airline_code = 'AA') AND flight.departure_time = (SELECT MIN(FLIGHTalias1.departure_time) FROM airport_service AS AIRPORT_SERVICEalias2, airport_service AS AIRPORT_SERVICEalias3, city AS CITYalias2, city AS CITYalias3, date_day AS DATE_DAYalias1, days AS DAYSalias1, flight AS FLIGHTalias1 WHERE ((CITYalias3.city_code = AIRPORT_SERVICEalias3.city_code AND CITYalias3.city_name = 'MILWAUKEE' AND DATE_DAYalias1.day_number = 20 AND DATE_DAYalias1.month_number = 1 AND DATE_DAYalias1.year = 1991 AND DAYSalias1.day_name = DATE_DAYalias1.day_name AND FLIGHTalias1.flight_days = DAYSalias1.days_code AND FLIGHTalias1.to_airport = AIRPORT_SERVICEalias3.airport_code) AND CITYalias2.city_code = AIRPORT_SERVICEalias2.city_code AND CITYalias2.city_name = 'ST. PETERSBURG' AND FLIGHTalias1.from_airport = AIRPORT_SERVICEalias2.airport_code) AND FLIGHTalias1.airline_code = 'AA') | atis |
CREATE TABLE transfers (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
eventtype text,
careunit text,
wardid number,
intime time,
outtime time
)
CREATE TABLE d_items (
row_id number,
itemid number,
label text,
linksto text
)
CREATE TABLE diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
CREATE TABLE procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
CREATE TABLE labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label text
)
CREATE TABLE chartevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE d_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
CREATE TABLE admissions (
row_id number,
subject_id number,
hadm_id number,
admittime time,
dischtime time,
admission_type text,
admission_location text,
discharge_location text,
insurance text,
language text,
marital_status text,
ethnicity text,
age number
)
CREATE TABLE patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
CREATE TABLE outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value number
)
CREATE TABLE prescriptions (
row_id number,
subject_id number,
hadm_id number,
startdate time,
enddate time,
drug text,
dose_val_rx text,
dose_unit_rx text,
route text
)
CREATE TABLE icustays (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
first_careunit text,
last_careunit text,
first_wardid number,
last_wardid number,
intime time,
outtime time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- tell me the cost for a circumcision?
| SELECT DISTINCT cost.cost FROM cost WHERE cost.event_type = 'procedures_icd' AND cost.event_id IN (SELECT procedures_icd.row_id FROM procedures_icd WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'circumcision')) | mimic_iii |
CREATE TABLE table_name_31 (
ht VARCHAR,
venue VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the HT for the game at Stadio Luigi Ferraris?
| SELECT ht FROM table_name_31 WHERE venue = "stadio luigi ferraris" | sql_create_context |
CREATE TABLE table_23281862_6 (
score VARCHAR,
high_rebounds VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What's the end score of the game where Shane Battier (8) did the high rebounds?
| SELECT score FROM table_23281862_6 WHERE high_rebounds = "Shane Battier (8)" | sql_create_context |
CREATE TABLE inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
CREATE TABLE labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE d_items (
row_id number,
itemid number,
label text,
linksto text
)
CREATE TABLE procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE d_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label text
)
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
CREATE TABLE patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
CREATE TABLE chartevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE prescriptions (
row_id number,
subject_id number,
hadm_id number,
startdate time,
enddate time,
drug text,
dose_val_rx text,
dose_unit_rx text,
route text
)
CREATE TABLE diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value number
)
CREATE TABLE admissions (
row_id number,
subject_id number,
hadm_id number,
admittime time,
dischtime time,
admission_type text,
admission_location text,
discharge_location text,
insurance text,
language text,
marital_status text,
ethnicity text,
age number
)
CREATE TABLE icustays (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
first_careunit text,
last_careunit text,
first_wardid number,
last_wardid number,
intime time,
outtime time
)
CREATE TABLE transfers (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
eventtype text,
careunit text,
wardid number,
intime time,
outtime time
)
CREATE TABLE d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- has patient 12797 received a procedure until 2102.
| SELECT COUNT(*) > 0 FROM procedures_icd WHERE procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 12797) AND STRFTIME('%y', procedures_icd.charttime) <= '2102' | mimic_iii |
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 wdmzjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH number,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
YLJGDM number,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
CREATE TABLE 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 mzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH text,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
KH text,
KLX number,
MJZH text,
ML number,
MZZYZDZZBM text,
MZZYZDZZMC text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TXBZ number,
TZ number,
WDBZ number,
XL number,
YLJGDM text,
ZSEBZ number,
ZZBZ number,
ZZYSGH text
)
CREATE TABLE bdmzjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH number,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
YLJGDM number,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 就诊的病患33852265号其检验报告单上对应的检查结果指标均不正常的单号是多少？
| SELECT jybgb.BGDH FROM hz_info JOIN mzjzjlb JOIN jybgb ON hz_info.YLJGDM = mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX AND mzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND mzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB WHERE hz_info.RYBH = '33852265' AND NOT jybgb.BGDH IN (SELECT jyjgzbb.BGDH FROM jyjgzbb WHERE jyjgzbb.JCZBJGDL >= jyjgzbb.CKZFWXX AND jyjgzbb.JCZBJGDL <= jyjgzbb.CKZFWSX) UNION SELECT jybgb.BGDH FROM hz_info JOIN wdmzjzjlb JOIN jybgb ON hz_info.YLJGDM = wdmzjzjlb.YLJGDM AND hz_info.KH = wdmzjzjlb.KH AND hz_info.KLX = wdmzjzjlb.KLX AND wdmzjzjlb.YLJGDM = jybgb.YLJGDM_ZYJZJLB AND wdmzjzjlb.JZLSH = jybgb.JZLSH_ZYJZJLB WHERE hz_info.RYBH = '33852265' AND NOT jybgb.BGDH IN (SELECT jyjgzbb.BGDH FROM jyjgzbb WHERE jyjgzbb.JCZBJGDL >= jyjgzbb.CKZFWXX AND jyjgzbb.JCZBJGDL <= jyjgzbb.CKZFWSX) UNION SELECT jybgb.BGDH FROM hz_info JOIN bdmzjzjlb JOIN jybgb ON hz_info.YLJGDM = bdmzjzjlb.YLJGDM AND hz_info.KH = bdmzjzjlb.KH AND hz_info.KLX = bdmzjzjlb.KLX AND bdmzjzjlb.YLJGDM = jybgb.YLJGDM_ZYJZJLB AND bdmzjzjlb.JZLSH = jybgb.JZLSH_ZYJZJLB WHERE hz_info.RYBH = '33852265' AND NOT jybgb.BGDH IN (SELECT jyjgzbb.BGDH FROM jyjgzbb WHERE jyjgzbb.JCZBJGDL >= jyjgzbb.CKZFWXX AND jyjgzbb.JCZBJGDL <= jyjgzbb.CKZFWSX) | css |
CREATE TABLE table_name_47 (
year INTEGER,
saar VARCHAR,
hessen VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the average year for a Saar of FK Pirmasens and Hessen of Wormatia Worms?
| SELECT AVG(year) FROM table_name_47 WHERE saar = "fk pirmasens" AND hessen = "wormatia worms" | sql_create_context |
CREATE TABLE student_record (
student_id int,
course_id int,
semester int,
grade varchar,
how varchar,
transfer_source varchar,
earn_credit varchar,
repeat_term varchar,
test_id varchar
)
CREATE TABLE offering_instructor (
offering_instructor_id int,
offering_id int,
instructor_id int
)
CREATE TABLE course (
course_id int,
name varchar,
department varchar,
number varchar,
credits varchar,
advisory_requirement varchar,
enforced_requirement varchar,
description varchar,
num_semesters int,
num_enrolled int,
has_discussion varchar,
has_lab varchar,
has_projects varchar,
has_exams varchar,
num_reviews int,
clarity_score int,
easiness_score int,
helpfulness_score int
)
CREATE TABLE instructor (
instructor_id int,
name varchar,
uniqname varchar
)
CREATE TABLE course_tags_count (
course_id int,
clear_grading int,
pop_quiz int,
group_projects int,
inspirational int,
long_lectures int,
extra_credit int,
few_tests int,
good_feedback int,
tough_tests int,
heavy_papers int,
cares_for_students int,
heavy_assignments int,
respected int,
participation int,
heavy_reading int,
tough_grader int,
hilarious int,
would_take_again int,
good_lecture int,
no_skip int
)
CREATE TABLE ta (
campus_job_id int,
student_id int,
location varchar
)
CREATE TABLE requirement (
requirement_id int,
requirement varchar,
college varchar
)
CREATE TABLE program (
program_id int,
name varchar,
college varchar,
introduction varchar
)
CREATE TABLE program_course (
program_id int,
course_id int,
workload int,
category varchar
)
CREATE TABLE program_requirement (
program_id int,
category varchar,
min_credit int,
additional_req varchar
)
CREATE TABLE gsi (
course_offering_id int,
student_id int
)
CREATE TABLE comment_instructor (
instructor_id int,
student_id int,
score int,
comment_text varchar
)
CREATE TABLE semester (
semester_id int,
semester varchar,
year int
)
CREATE TABLE area (
course_id int,
area varchar
)
CREATE TABLE student (
student_id int,
lastname varchar,
firstname varchar,
program_id int,
declare_major varchar,
total_credit int,
total_gpa float,
entered_as varchar,
admit_term int,
predicted_graduation_semester int,
degree varchar,
minor varchar,
internship varchar
)
CREATE TABLE jobs (
job_id int,
job_title varchar,
description varchar,
requirement varchar,
city varchar,
state varchar,
country varchar,
zip int
)
CREATE TABLE course_prerequisite (
pre_course_id int,
course_id int
)
CREATE TABLE course_offering (
offering_id int,
course_id int,
semester int,
section_number int,
start_time time,
end_time time,
monday varchar,
tuesday varchar,
wednesday varchar,
thursday varchar,
friday varchar,
saturday varchar,
sunday varchar,
has_final_project varchar,
has_final_exam varchar,
textbook varchar,
class_address varchar,
allow_audit varchar
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What courses are offered this Fall ?
| SELECT DISTINCT course.department, course.name, course.number FROM course, course_offering, semester WHERE course.course_id = course_offering.course_id AND course.department = 'EECS' AND semester.semester = 'Fall' AND semester.semester_id = course_offering.semester AND semester.year = 2016 | advising |
CREATE TABLE table_74601 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the away team's score when Fitzroy's score was 16.27 (123) on May 13, 1950.
| SELECT "Away team score" FROM table_74601 WHERE "Home team score" = '16.27 (123)' | wikisql |
CREATE TABLE table_25458 (
"#" real,
"Date" text,
"Visitor" text,
"Score" text,
"Arena Attendance" text,
"High Points" text,
"High Rebounds" text,
"High Assists" text,
"Record" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the high rebounds for td garden 18,624
| SELECT "High Rebounds" FROM table_25458 WHERE "Arena Attendance" = 'TD Garden 18,624' | wikisql |
CREATE TABLE table_name_49 (
minimum_height VARCHAR,
name_of_the_tunnel VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the minimum Height of the Little Switzerland Tunnel?
| SELECT minimum_height FROM table_name_49 WHERE name_of_the_tunnel = "little switzerland tunnel" | sql_create_context |
CREATE TABLE medicine_enzyme_interaction (
enzyme_id int,
medicine_id int,
interaction_type text
)
CREATE TABLE medicine (
id int,
name text,
Trade_Name text,
FDA_approved text
)
CREATE TABLE enzyme (
id int,
name text,
Location text,
Product text,
Chromosome text,
OMIM int,
Porphyria text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Return a pie chart on what are the ids and trade names of the medicine that can interact with at least 3 enzymes?
| SELECT Trade_Name, id FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id | nvbench |
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
CREATE TABLE admissions (
row_id number,
subject_id number,
hadm_id number,
admittime time,
dischtime time,
admission_type text,
admission_location text,
discharge_location text,
insurance text,
language text,
marital_status text,
ethnicity text,
age number
)
CREATE TABLE procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label text
)
CREATE TABLE outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value number
)
CREATE TABLE d_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
CREATE TABLE prescriptions (
row_id number,
subject_id number,
hadm_id number,
startdate time,
enddate time,
drug text,
dose_val_rx text,
dose_unit_rx text,
route text
)
CREATE TABLE transfers (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
eventtype text,
careunit text,
wardid number,
intime time,
outtime time
)
CREATE TABLE icustays (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
first_careunit text,
last_careunit text,
first_wardid number,
last_wardid number,
intime time,
outtime time
)
CREATE TABLE diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
CREATE TABLE d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE chartevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE d_items (
row_id number,
itemid number,
label text,
linksto text
)
CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
CREATE TABLE labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what are the four most frequent procedures among the patients 50s since 2 years ago?
| SELECT d_icd_procedures.short_title FROM d_icd_procedures WHERE d_icd_procedures.icd9_code IN (SELECT t1.icd9_code FROM (SELECT procedures_icd.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM procedures_icd WHERE procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.age BETWEEN 50 AND 59) AND DATETIME(procedures_icd.charttime) >= DATETIME(CURRENT_TIME(), '-2 year') GROUP BY procedures_icd.icd9_code) AS t1 WHERE t1.c1 <= 4) | mimic_iii |
CREATE TABLE station (
Station_ID int,
Name text,
Annual_entry_exit real,
Annual_interchanges real,
Total_Passengers real,
Location text,
Main_Services text,
Number_of_Platforms int
)
CREATE TABLE train_station (
Train_ID int,
Station_ID int
)
CREATE TABLE train (
Train_ID int,
Name text,
Time text,
Service text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Plot the number of name by grouped by name as a bar graph, could you list Y in ascending order?
| SELECT Name, COUNT(Name) FROM train GROUP BY Name ORDER BY COUNT(Name) | nvbench |
CREATE TABLE table_15873547_1 (
mascot VARCHAR,
colors VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the mascot with the colors green and navy?
| SELECT mascot FROM table_15873547_1 WHERE colors = "Green and Navy" | sql_create_context |
CREATE TABLE code_description (
code varchar,
description text
)
CREATE TABLE flight (
aircraft_code_sequence text,
airline_code varchar,
airline_flight text,
arrival_time int,
connections int,
departure_time int,
dual_carrier text,
flight_days text,
flight_id int,
flight_number int,
from_airport varchar,
meal_code text,
stops int,
time_elapsed int,
to_airport varchar
)
CREATE TABLE days (
days_code varchar,
day_name varchar
)
CREATE TABLE date_day (
month_number int,
day_number int,
year int,
day_name varchar
)
CREATE TABLE flight_fare (
flight_id int,
fare_id int
)
CREATE TABLE flight_leg (
flight_id int,
leg_number int,
leg_flight int
)
CREATE TABLE compartment_class (
compartment varchar,
class_type varchar
)
CREATE TABLE restriction (
restriction_code text,
advance_purchase int,
stopovers text,
saturday_stay_required text,
minimum_stay int,
maximum_stay int,
application text,
no_discounts text
)
CREATE TABLE fare_basis (
fare_basis_code text,
booking_class text,
class_type text,
premium text,
economy text,
discounted text,
night text,
season text,
basis_days text
)
CREATE TABLE month (
month_number int,
month_name text
)
CREATE TABLE equipment_sequence (
aircraft_code_sequence varchar,
aircraft_code varchar
)
CREATE TABLE city (
city_code varchar,
city_name varchar,
state_code varchar,
country_name varchar,
time_zone_code varchar
)
CREATE TABLE class_of_service (
booking_class varchar,
rank int,
class_description text
)
CREATE TABLE aircraft (
aircraft_code varchar,
aircraft_description varchar,
manufacturer varchar,
basic_type varchar,
engines int,
propulsion varchar,
wide_body varchar,
wing_span int,
length int,
weight int,
capacity int,
pay_load int,
cruising_speed int,
range_miles int,
pressurized varchar
)
CREATE TABLE airport_service (
city_code varchar,
airport_code varchar,
miles_distant int,
direction varchar,
minutes_distant int
)
CREATE TABLE fare (
fare_id int,
from_airport varchar,
to_airport varchar,
fare_basis_code text,
fare_airline text,
restriction_code text,
one_direction_cost int,
round_trip_cost int,
round_trip_required varchar
)
CREATE TABLE flight_stop (
flight_id int,
stop_number int,
stop_days text,
stop_airport text,
arrival_time int,
arrival_airline text,
arrival_flight_number int,
departure_time int,
departure_airline text,
departure_flight_number int,
stop_time int
)
CREATE TABLE time_zone (
time_zone_code text,
time_zone_name text,
hours_from_gmt int
)
CREATE TABLE ground_service (
city_code text,
airport_code text,
transport_type text,
ground_fare int
)
CREATE TABLE dual_carrier (
main_airline varchar,
low_flight_number int,
high_flight_number int,
dual_airline varchar,
service_name text
)
CREATE TABLE food_service (
meal_code text,
meal_number int,
compartment text,
meal_description varchar
)
CREATE TABLE airline (
airline_code varchar,
airline_name text,
note text
)
CREATE TABLE state (
state_code text,
state_name text,
country_name text
)
CREATE TABLE airport (
airport_code varchar,
airport_name text,
airport_location text,
state_code varchar,
country_name varchar,
time_zone_code varchar,
minimum_connect_time int
)
CREATE TABLE time_interval (
period text,
begin_time int,
end_time int
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what flights are available from DENVER to SAN FRANCISCO
| SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DENVER' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code | atis |
CREATE TABLE diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
CREATE TABLE admissions (
row_id number,
subject_id number,
hadm_id number,
admittime time,
dischtime time,
admission_type text,
admission_location text,
discharge_location text,
insurance text,
language text,
marital_status text,
ethnicity text,
age number
)
CREATE TABLE d_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label text
)
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
CREATE TABLE chartevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE d_items (
row_id number,
itemid number,
label text,
linksto text
)
CREATE TABLE labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE transfers (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
eventtype text,
careunit text,
wardid number,
intime time,
outtime time
)
CREATE TABLE patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
CREATE TABLE inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
CREATE TABLE icustays (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
first_careunit text,
last_careunit text,
first_wardid number,
last_wardid number,
intime time,
outtime time
)
CREATE TABLE prescriptions (
row_id number,
subject_id number,
hadm_id number,
startdate time,
enddate time,
drug text,
dose_val_rx text,
dose_unit_rx text,
route text
)
CREATE TABLE outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- when did patient 84346 depart hospital since 5 years ago for the first time?
| SELECT admissions.dischtime FROM admissions WHERE admissions.subject_id = 84346 AND DATETIME(admissions.dischtime) >= DATETIME(CURRENT_TIME(), '-5 year') ORDER BY admissions.dischtime LIMIT 1 | mimic_iii |
CREATE TABLE table_70468 (
"Date" text,
"Tournament" text,
"Winning score" text,
"Margin of victory" text,
"Runner(s)-up" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the tournament that resulted in a winning score of 4 (71-72-72-69=284)?
| SELECT "Tournament" FROM table_70468 WHERE "Winning score" = '–4 (71-72-72-69=284)' | wikisql |
CREATE TABLE table_204_193 (
id number,
"year" number,
"artist" text,
"album" text,
"chart position" text,
"role" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what comes before donny hathaway
| SELECT "artist" FROM table_204_193 WHERE id = (SELECT id FROM table_204_193 WHERE "artist" = 'donny hathaway') - 1 | squall |
CREATE TABLE table_35947 (
"Nation" text,
"Skip" text,
"Third" text,
"Second" text,
"Lead" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who was the second when Ilian Kirilov was the lead?
| SELECT "Second" FROM table_35947 WHERE "Lead" = 'ilian kirilov' | wikisql |
CREATE TABLE table_10966926_2 (
height VARCHAR,
weight VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the height of the person that weighs 320 pounds?
| SELECT height FROM table_10966926_2 WHERE weight = 320 | sql_create_context |
CREATE TABLE table_54191 (
"Season" text,
"Competition" text,
"Round" text,
"Opponent" text,
"Result" text,
"Venue" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which opponent has a Season of 2011/12?
| SELECT "Opponent" FROM table_54191 WHERE "Season" = '2011/12' | wikisql |
CREATE TABLE table_75926 (
"Player" text,
"Nationality" text,
"Position" text,
"Years in Orlando" text,
"School/Club Team" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What School/Club did Dominique Wilkins play for?
| SELECT "School/Club Team" FROM table_75926 WHERE "Player" = 'dominique wilkins' | wikisql |
CREATE TABLE table_46163 (
"Name" text,
"GP-GS" text,
"Gain" real,
"Loss" real,
"Long" real,
"Avg/G" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- WHAT IS THE LOSS WITH AN AVERAGE OF 89.9?
| SELECT SUM("Loss") FROM table_46163 WHERE "Avg/G" = '89.9' | wikisql |
CREATE TABLE table_16729930_18 (
socket VARCHAR,
frequency VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the socket for microprocessors with a frequency of 1.3 ghz?
| SELECT socket FROM table_16729930_18 WHERE frequency = "1.3 GHz" | sql_create_context |
CREATE TABLE table_78549 (
"District" real,
"County(s) Represented" text,
"Member Senator" text,
"Party" text,
"First Elected" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What district for ulysses currie?
| SELECT "District" FROM table_78549 WHERE "Member Senator" = 'ulysses currie' | wikisql |
CREATE TABLE food_service (
meal_code text,
meal_number int,
compartment text,
meal_description varchar
)
CREATE TABLE airport_service (
city_code varchar,
airport_code varchar,
miles_distant int,
direction varchar,
minutes_distant int
)
CREATE TABLE city (
city_code varchar,
city_name varchar,
state_code varchar,
country_name varchar,
time_zone_code varchar
)
CREATE TABLE days (
days_code varchar,
day_name varchar
)
CREATE TABLE date_day (
month_number int,
day_number int,
year int,
day_name varchar
)
CREATE TABLE equipment_sequence (
aircraft_code_sequence varchar,
aircraft_code varchar
)
CREATE TABLE class_of_service (
booking_class varchar,
rank int,
class_description text
)
CREATE TABLE airline (
airline_code varchar,
airline_name text,
note text
)
CREATE TABLE flight_leg (
flight_id int,
leg_number int,
leg_flight int
)
CREATE TABLE flight_fare (
flight_id int,
fare_id int
)
CREATE TABLE state (
state_code text,
state_name text,
country_name text
)
CREATE TABLE fare_basis (
fare_basis_code text,
booking_class text,
class_type text,
premium text,
economy text,
discounted text,
night text,
season text,
basis_days text
)
CREATE TABLE restriction (
restriction_code text,
advance_purchase int,
stopovers text,
saturday_stay_required text,
minimum_stay int,
maximum_stay int,
application text,
no_discounts text
)
CREATE TABLE code_description (
code varchar,
description text
)
CREATE TABLE time_interval (
period text,
begin_time int,
end_time int
)
CREATE TABLE dual_carrier (
main_airline varchar,
low_flight_number int,
high_flight_number int,
dual_airline varchar,
service_name text
)
CREATE TABLE ground_service (
city_code text,
airport_code text,
transport_type text,
ground_fare int
)
CREATE TABLE month (
month_number int,
month_name text
)
CREATE TABLE flight (
aircraft_code_sequence text,
airline_code varchar,
airline_flight text,
arrival_time int,
connections int,
departure_time int,
dual_carrier text,
flight_days text,
flight_id int,
flight_number int,
from_airport varchar,
meal_code text,
stops int,
time_elapsed int,
to_airport varchar
)
CREATE TABLE airport (
airport_code varchar,
airport_name text,
airport_location text,
state_code varchar,
country_name varchar,
time_zone_code varchar,
minimum_connect_time int
)
CREATE TABLE time_zone (
time_zone_code text,
time_zone_name text,
hours_from_gmt int
)
CREATE TABLE fare (
fare_id int,
from_airport varchar,
to_airport varchar,
fare_basis_code text,
fare_airline text,
restriction_code text,
one_direction_cost int,
round_trip_cost int,
round_trip_required varchar
)
CREATE TABLE aircraft (
aircraft_code varchar,
aircraft_description varchar,
manufacturer varchar,
basic_type varchar,
engines int,
propulsion varchar,
wide_body varchar,
wing_span int,
length int,
weight int,
capacity int,
pay_load int,
cruising_speed int,
range_miles int,
pressurized varchar
)
CREATE TABLE compartment_class (
compartment varchar,
class_type varchar
)
CREATE TABLE flight_stop (
flight_id int,
stop_number int,
stop_days text,
stop_airport text,
arrival_time int,
arrival_airline text,
arrival_flight_number int,
departure_time int,
departure_airline text,
departure_flight_number int,
stop_time int
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what flights are available from BOSTON to DENVER today
| SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day, days, flight WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DENVER' AND date_day.day_number = 1 AND date_day.month_number = 8 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BOSTON' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | atis |
CREATE TABLE t_kc21 (
CLINIC_ID text,
CLINIC_TYPE text,
COMP_ID text,
DATA_ID text,
DIFF_PLACE_FLG number,
FERTILITY_STS number,
FLX_MED_ORG_ID text,
HOSP_LEV number,
HOSP_STS number,
IDENTITY_CARD text,
INPT_AREA_BED text,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
IN_DIAG_DIS_CD text,
IN_DIAG_DIS_NM text,
IN_HOSP_DATE time,
IN_HOSP_DAYS number,
MAIN_COND_DES text,
MED_AMOUT number,
MED_CLINIC_ID text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
MED_SER_ORG_NO text,
MED_TYPE number,
OUT_DIAG_DIS_CD text,
OUT_DIAG_DIS_NM text,
OUT_DIAG_DOC_CD text,
OUT_DIAG_DOC_NM text,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
PERSON_AGE number,
PERSON_ID text,
PERSON_NM text,
PERSON_SEX number,
REIMBURSEMENT_FLG number,
REMOTE_SETTLE_FLG text,
SERVANT_FLG text,
SOC_SRT_CARD text,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE t_kc21_t_kc22 (
MED_CLINIC_ID text,
MED_EXP_DET_ID 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 t_kc22 (
AMOUNT number,
CHA_ITEM_LEV number,
DATA_ID text,
DIRE_TYPE number,
DOSE_FORM text,
DOSE_UNIT text,
EACH_DOSAGE text,
EXP_OCC_DATE time,
FLX_MED_ORG_ID text,
FXBZ number,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
MED_DIRE_CD text,
MED_DIRE_NM text,
MED_EXP_BILL_ID text,
MED_EXP_DET_ID text,
MED_INV_ITEM_TYPE text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_SELF_AMO number,
PRESCRIPTION_CODE text,
PRESCRIPTION_ID text,
QTY number,
RECIPE_BILL_ID text,
REF_STA_FLG number,
REIMBURS_TYPE number,
REMOTE_SETTLE_FLG text,
RER_SOL number,
SELF_PAY_AMO number,
SELF_PAY_PRO number,
SOC_SRT_DIRE_CD text,
SOC_SRT_DIRE_NM text,
SPEC text,
STA_DATE time,
STA_FLG number,
SYNC_TIME time,
TRADE_TYPE number,
UNIVALENT number,
UP_LIMIT_AMO number,
USE_FRE text,
VAL_UNIT text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 零一年一月十九日至二一年三月三日，复合维生素B片在923科室有多少开药量
| SELECT COUNT(*) FROM t_kc22 WHERE t_kc22.MED_ORG_DEPT_CD = '923' AND t_kc22.STA_DATE BETWEEN '2001-01-19' AND '2021-03-03' AND t_kc22.SOC_SRT_DIRE_NM = '复合维生素B片' | css |
CREATE TABLE table_19886463_1 (
round_winner VARCHAR,
circuit VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who is the round winner of the wanneroo park circuit?
| SELECT round_winner FROM table_19886463_1 WHERE circuit = "Wanneroo Park" | sql_create_context |
CREATE TABLE table_name_26 (
result VARCHAR,
game VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the result of game 1?
| SELECT result FROM table_name_26 WHERE game = "game 1" | sql_create_context |
CREATE TABLE country (
id number,
name text
)
CREATE TABLE league (
id number,
country_id number,
name text
)
CREATE TABLE sqlite_sequence (
name text,
seq text
)
CREATE TABLE player (
id number,
player_api_id number,
player_name text,
player_fifa_api_id number,
birthday text,
height number,
weight number
)
CREATE TABLE team (
id number,
team_api_id number,
team_fifa_api_id number,
team_long_name text,
team_short_name text
)
CREATE TABLE team_attributes (
id number,
team_fifa_api_id number,
team_api_id number,
date text,
buildupplayspeed number,
buildupplayspeedclass text,
buildupplaydribbling number,
buildupplaydribblingclass text,
buildupplaypassing number,
buildupplaypassingclass text,
buildupplaypositioningclass text,
chancecreationpassing number,
chancecreationpassingclass text,
chancecreationcrossing number,
chancecreationcrossingclass text,
chancecreationshooting number,
chancecreationshootingclass text,
chancecreationpositioningclass text,
defencepressure number,
defencepressureclass text,
defenceaggression number,
defenceaggressionclass text,
defenceteamwidth number,
defenceteamwidthclass text,
defencedefenderlineclass text
)
CREATE TABLE player_attributes (
id number,
player_fifa_api_id number,
player_api_id number,
date text,
overall_rating number,
potential number,
preferred_foot text,
attacking_work_rate text,
defensive_work_rate text,
crossing number,
finishing number,
heading_accuracy number,
short_passing number,
volleys number,
dribbling number,
curve number,
free_kick_accuracy number,
long_passing number,
ball_control number,
acceleration number,
sprint_speed number,
agility number,
reactions number,
balance number,
shot_power number,
jumping number,
stamina number,
strength number,
long_shots number,
aggression number,
interceptions number,
positioning number,
vision number,
penalties number,
marking number,
standing_tackle number,
sliding_tackle number,
gk_diving number,
gk_handling number,
gk_kicking number,
gk_positioning number,
gk_reflexes number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- List all of the player ids with a height of at least 180cm and an overall rating higher than 85.
| SELECT player_api_id FROM player WHERE height >= 180 INTERSECT SELECT player_api_id FROM player_attributes WHERE overall_rating > 85 | spider |
CREATE TABLE table_37073 (
"Date" text,
"Opponent" text,
"Score" text,
"Loss" text,
"Save" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which opponent has a loss of trout (7-4)?
| SELECT "Opponent" FROM table_37073 WHERE "Loss" = 'trout (7-4)' | wikisql |
CREATE TABLE table_name_61 (
spins__since_1998__source VARCHAR,
ccm_chart VARCHAR,
peak_pos VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many Spins sources have a CCM Chart of CHR with a peak position less than 1?
| SELECT COUNT(spins__since_1998__source) AS :_mediabase FROM table_name_61 WHERE ccm_chart = "chr" AND peak_pos < 1 | sql_create_context |
CREATE TABLE t_kc24 (
ACCOUNT_DASH_DATE time,
ACCOUNT_DASH_FLG number,
CASH_PAY number,
CIVIL_SUBSIDY number,
CKC102 number,
CLINIC_ID text,
CLINIC_SLT_DATE time,
COMP_ID text,
COM_ACC_PAY number,
COM_PAY number,
DATA_ID text,
ENT_ACC_PAY number,
ENT_PAY number,
FLX_MED_ORG_ID text,
ILL_PAY number,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
LAS_OVE_PAY number,
MED_AMOUT number,
MED_CLINIC_ID text,
MED_SAFE_PAY_ID text,
MED_TYPE number,
OLDC_FUND_PAY number,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_ADD_PAY number,
OVE_PAY number,
PERSON_ID text,
PER_ACC_PAY number,
PER_EXP number,
PER_SOL number,
RECEIVER_DEAL_ID text,
RECEIVER_OFFSET_ID text,
RECEIVER_REVOKE_ID text,
RECIPE_BILL_ID text,
REF_SLT_FLG number,
REIMBURS_FLG number,
SENDER_DEAL_ID text,
SENDER_OFFSET_ID text,
SENDER_REVOKE_ID text,
SPE_FUND_PAY number,
SUP_ADD_PAY number,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE t_kc21 (
CLINIC_ID text,
CLINIC_TYPE text,
COMP_ID text,
DATA_ID text,
DIFF_PLACE_FLG number,
FERTILITY_STS number,
FLX_MED_ORG_ID text,
HOSP_LEV number,
HOSP_STS number,
IDENTITY_CARD text,
INPT_AREA_BED text,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
IN_DIAG_DIS_CD text,
IN_DIAG_DIS_NM text,
IN_HOSP_DATE time,
IN_HOSP_DAYS number,
MAIN_COND_DES text,
MED_AMOUT number,
MED_CLINIC_ID text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
MED_SER_ORG_NO text,
MED_TYPE number,
OUT_DIAG_DIS_CD text,
OUT_DIAG_DIS_NM text,
OUT_DIAG_DOC_CD text,
OUT_DIAG_DOC_NM text,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
PERSON_AGE number,
PERSON_ID text,
PERSON_NM text,
PERSON_SEX number,
REIMBURSEMENT_FLG number,
REMOTE_SETTLE_FLG text,
SERVANT_FLG text,
SOC_SRT_CARD text,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE t_kc22 (
AMOUNT number,
CHA_ITEM_LEV number,
DATA_ID text,
DIRE_TYPE number,
DOSE_FORM text,
DOSE_UNIT text,
EACH_DOSAGE text,
EXP_OCC_DATE time,
FLX_MED_ORG_ID text,
FXBZ number,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
MED_DIRE_CD text,
MED_DIRE_NM text,
MED_EXP_BILL_ID text,
MED_EXP_DET_ID text,
MED_INV_ITEM_TYPE text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_SELF_AMO number,
PRESCRIPTION_CODE text,
PRESCRIPTION_ID text,
QTY number,
RECIPE_BILL_ID text,
REF_STA_FLG number,
REIMBURS_TYPE number,
REMOTE_SETTLE_FLG text,
RER_SOL number,
SELF_PAY_AMO number,
SELF_PAY_PRO number,
SOC_SRT_DIRE_CD text,
SOC_SRT_DIRE_NM text,
SPEC text,
STA_DATE time,
STA_FLG number,
SYNC_TIME time,
TRADE_TYPE number,
UNIVALENT number,
UP_LIMIT_AMO number,
USE_FRE text,
VAL_UNIT text
)
CREATE TABLE t_kc21_t_kc22 (
MED_CLINIC_ID text,
MED_EXP_DET_ID number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 编号84294070811的医疗就诊，费用明细项目该走的结算流程都好了没
| SELECT (SELECT SUM(t_kc22.STA_FLG) FROM t_kc22 JOIN t_kc21_t_kc22 JOIN t_kc21 ON t_kc21_t_kc22.MED_EXP_DET_ID = t_kc22.MED_EXP_DET_ID AND t_kc21_t_kc22.MED_CLINIC_ID = t_kc21.MED_CLINIC_ID WHERE t_kc21.MED_CLINIC_ID = '84294070811') = (SELECT COUNT(*) FROM t_kc22 WHERE t_kc21_t_kc22.MED_CLINIC_ID = '84294070811') | css |
CREATE TABLE table_57649 (
"CERCLIS ID" text,
"Name" text,
"County" text,
"Proposed" text,
"Listed" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What name has a listed of 03/31/1989 in spartanburg county?
| SELECT "Name" FROM table_57649 WHERE "Listed" = '03/31/1989' AND "County" = 'spartanburg' | wikisql |
CREATE TABLE table_49165 (
"Place" text,
"Player" text,
"Country" text,
"Score" text,
"To par" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What's the to par of the United States with the score of 71-71=142?
| SELECT "To par" FROM table_49165 WHERE "Country" = 'united states' AND "Score" = '71-71=142' | wikisql |
CREATE TABLE table_20962 (
"Solution" text,
"Other Name" text,
"[Na + ](mmol/L)" real,
"[Cl - ](mmol/L)" real,
"[Glucose](mmol/L)" real,
"[Glucose](mg/dl)" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the other name where na plus is 77
| SELECT "Other Name" FROM table_20962 WHERE "[Na + ](mmol/L)" = '77' | wikisql |
CREATE TABLE hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text,
person_info_CSD text,
person_info_CSRQ time,
person_info_GJDM text,
person_info_GJMC text,
person_info_JGDM text,
person_info_JGMC text,
person_info_MZDM text,
person_info_MZMC text,
person_info_XBDM number,
person_info_XBMC text,
person_info_XLDM text,
person_info_XLMC text,
person_info_XM text,
person_info_ZYLBDM text,
person_info_ZYMC text
)
CREATE TABLE 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,
YLJGDM text,
ZSEBZ number,
ZZBZ number,
ZZYSGH text
)
CREATE TABLE jyjgzbb (
BGDH text,
BGRQ time,
CKZFWDX text,
CKZFWSX number,
CKZFWXX number,
JCFF text,
JCRGH text,
JCRXM text,
JCXMMC text,
JCZBDM text,
JCZBJGDL number,
JCZBJGDW text,
JCZBJGDX text,
JCZBMC text,
JLDW text,
JYRQ time,
JYZBLSH text,
SBBM text,
SHRGH text,
SHRXM text,
YLJGDM text,
YQBH text,
YQMC text
)
CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
YLJGDM text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 名为秦傲雪的患者有哪些检验报告单的报告日期在一四年九月六日以前？这些报告单所对应的住院就诊的流水号是什么
| SELECT zyjzjlb.JZLSH FROM hz_info JOIN zyjzjlb ON hz_info.YLJGDM = zyjzjlb.YLJGDM AND hz_info.KH = zyjzjlb.KH AND hz_info.KLX = zyjzjlb.KLX WHERE hz_info.person_info_XM = '秦傲雪' AND NOT zyjzjlb.JZLSH IN (SELECT jybgb.JZLSH FROM jybgb WHERE jybgb.BGRQ >= '2014-09-06') | css |
CREATE TABLE table_4163 (
"Province" text,
"Number of Dairy Farms" real,
"Number of Dairy Cows" real,
"Production (hectolitres)" real,
"Dairy Cows per Farm" real,
"Production (hectolitres) per Farm" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the least amount of cattle head
| SELECT MIN("Number of Dairy Cows") FROM table_4163 | wikisql |
CREATE TABLE table_name_22 (
award VARCHAR,
category VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which award show had the category of best supporting actress?
| SELECT award FROM table_name_22 WHERE category = "best supporting actress" | sql_create_context |
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 Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE SuggestedEdits (
Id number,
PostId number,
CreationDate time,
ApprovalDate time,
RejectionDate time,
OwnerUserId number,
Comment text,
Text text,
Title text,
Tags text,
RevisionGUID other
)
CREATE TABLE CloseReasonTypes (
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 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 ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE CloseAsOffTopicReasonTypes (
Id number,
IsUniversal boolean,
InputTitle text,
MarkdownInputGuidance text,
MarkdownPostOwnerGuidance text,
MarkdownPrivilegedUserGuidance text,
MarkdownConcensusDescription text,
CreationDate time,
CreationModeratorId number,
ApprovalDate time,
ApprovalModeratorId number,
DeactivationDate time,
DeactivationModeratorId number
)
CREATE TABLE 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 FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE PostTypes (
Id number,
Name 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 Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense 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 PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE PostTags (
PostId number,
TagId number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- SELECT * WHERE `ClosedDate` is NOT NULL;.
| SELECT * FROM Posts WHERE NOT 'ClosedDate' IS NULL | sede |
CREATE TABLE course_prerequisite (
pre_course_id int,
course_id int
)
CREATE TABLE jobs (
job_id int,
job_title varchar,
description varchar,
requirement varchar,
city varchar,
state varchar,
country varchar,
zip int
)
CREATE TABLE comment_instructor (
instructor_id int,
student_id int,
score int,
comment_text varchar
)
CREATE TABLE ta (
campus_job_id int,
student_id int,
location varchar
)
CREATE TABLE instructor (
instructor_id int,
name varchar,
uniqname varchar
)
CREATE TABLE requirement (
requirement_id int,
requirement varchar,
college varchar
)
CREATE TABLE area (
course_id int,
area varchar
)
CREATE TABLE program (
program_id int,
name varchar,
college varchar,
introduction varchar
)
CREATE TABLE course_tags_count (
course_id int,
clear_grading int,
pop_quiz int,
group_projects int,
inspirational int,
long_lectures int,
extra_credit int,
few_tests int,
good_feedback int,
tough_tests int,
heavy_papers int,
cares_for_students int,
heavy_assignments int,
respected int,
participation int,
heavy_reading int,
tough_grader int,
hilarious int,
would_take_again int,
good_lecture int,
no_skip int
)
CREATE TABLE course_offering (
offering_id int,
course_id int,
semester int,
section_number int,
start_time time,
end_time time,
monday varchar,
tuesday varchar,
wednesday varchar,
thursday varchar,
friday varchar,
saturday varchar,
sunday varchar,
has_final_project varchar,
has_final_exam varchar,
textbook varchar,
class_address varchar,
allow_audit varchar
)
CREATE TABLE gsi (
course_offering_id int,
student_id int
)
CREATE TABLE student (
student_id int,
lastname varchar,
firstname varchar,
program_id int,
declare_major varchar,
total_credit int,
total_gpa float,
entered_as varchar,
admit_term int,
predicted_graduation_semester int,
degree varchar,
minor varchar,
internship varchar
)
CREATE TABLE program_requirement (
program_id int,
category varchar,
min_credit int,
additional_req varchar
)
CREATE TABLE course (
course_id int,
name varchar,
department varchar,
number varchar,
credits varchar,
advisory_requirement varchar,
enforced_requirement varchar,
description varchar,
num_semesters int,
num_enrolled int,
has_discussion varchar,
has_lab varchar,
has_projects varchar,
has_exams varchar,
num_reviews int,
clarity_score int,
easiness_score int,
helpfulness_score int
)
CREATE TABLE semester (
semester_id int,
semester varchar,
year int
)
CREATE TABLE program_course (
program_id int,
course_id int,
workload int,
category varchar
)
CREATE TABLE offering_instructor (
offering_instructor_id int,
offering_id int,
instructor_id int
)
CREATE TABLE student_record (
student_id int,
course_id int,
semester int,
grade varchar,
how varchar,
transfer_source varchar,
earn_credit varchar,
repeat_term varchar,
test_id varchar
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Were I to declare a major in WOMENSTD , which classes would I need to take ?
| SELECT DISTINCT course.department, course.name, course.number FROM course, program_course WHERE course.department LIKE '%WOMENSTD%' AND program_course.category LIKE 'PreMajor' AND program_course.course_id = course.course_id | advising |
CREATE TABLE table_39738 (
"Tournament" text,
"Wins" real,
"Top-5" real,
"Top-10" real,
"Top-25" real,
"Events" real,
"Cuts made" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the lowest Top-25 for the open championship, with a Top-10 larger than 3?
| SELECT MIN("Top-25") FROM table_39738 WHERE "Tournament" = 'the open championship' AND "Top-10" > '3' | wikisql |
CREATE TABLE t_kc21 (
MED_CLINIC_ID text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
COMP_ID text,
PERSON_ID text,
PERSON_NM text,
IDENTITY_CARD text,
SOC_SRT_CARD text,
PERSON_SEX number,
PERSON_AGE number,
IN_HOSP_DATE time,
OUT_HOSP_DATE time,
DIFF_PLACE_FLG number,
FLX_MED_ORG_ID text,
MED_SER_ORG_NO text,
CLINIC_TYPE text,
MED_TYPE number,
CLINIC_ID text,
IN_DIAG_DIS_CD text,
IN_DIAG_DIS_NM text,
OUT_DIAG_DIS_CD text,
OUT_DIAG_DIS_NM text,
INPT_AREA_BED text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
OUT_DIAG_DOC_CD text,
OUT_DIAG_DOC_NM text,
MAIN_COND_DES text,
INSU_TYPE text,
IN_HOSP_DAYS number,
MED_AMOUT number,
FERTILITY_STS number,
DATA_ID text,
SYNC_TIME time,
REIMBURSEMENT_FLG number,
HOSP_LEV number,
HOSP_STS number,
INSURED_IDENTITY number,
SERVANT_FLG text,
TRADE_TYPE number,
INSURED_STS text,
REMOTE_SETTLE_FLG text
)
CREATE TABLE t_kc22 (
MED_EXP_DET_ID text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
MED_CLINIC_ID text,
MED_EXP_BILL_ID text,
SOC_SRT_DIRE_CD text,
SOC_SRT_DIRE_NM text,
DIRE_TYPE number,
CHA_ITEM_LEV number,
MED_INV_ITEM_TYPE text,
MED_DIRE_CD text,
MED_DIRE_NM text,
VAL_UNIT text,
DOSE_UNIT text,
DOSE_FORM text,
SPEC text,
USE_FRE text,
EACH_DOSAGE text,
QTY number,
UNIVALENT number,
AMOUNT number,
SELF_PAY_PRO number,
RER_SOL number,
SELF_PAY_AMO number,
UP_LIMIT_AMO number,
OVE_SELF_AMO number,
EXP_OCC_DATE time,
RECIPE_BILL_ID text,
FLX_MED_ORG_ID text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
REF_STA_FLG number,
DATA_ID text,
SYNC_TIME time,
PRESCRIPTION_CODE text,
PRESCRIPTION_ID text,
TRADE_TYPE number,
STA_FLG number,
STA_DATE time,
REIMBURS_TYPE number,
FXBZ number,
REMOTE_SETTLE_FLG text
)
CREATE TABLE t_kc24 (
MED_SAFE_PAY_ID text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
MED_CLINIC_ID text,
REF_SLT_FLG number,
CLINIC_SLT_DATE time,
COMP_ID text,
PERSON_ID text,
FLX_MED_ORG_ID text,
INSU_TYPE text,
MED_AMOUT number,
PER_ACC_PAY number,
OVE_PAY number,
ILL_PAY number,
CIVIL_SUBSIDY number,
PER_SOL number,
PER_EXP number,
DATA_ID text,
SYNC_TIME time,
OUT_HOSP_DATE time,
CLINIC_ID text,
MED_TYPE number,
INSURED_STS text,
INSURED_IDENTITY number,
TRADE_TYPE number,
RECIPE_BILL_ID text,
ACCOUNT_DASH_DATE time,
ACCOUNT_DASH_FLG number,
REIMBURS_FLG number,
SENDER_DEAL_ID text,
RECEIVER_DEAL_ID text,
SENDER_REVOKE_ID text,
RECEIVER_REVOKE_ID text,
SENDER_OFFSET_ID text,
RECEIVER_OFFSET_ID text,
LAS_OVE_PAY number,
OVE_ADD_PAY number,
SUP_ADD_PAY number,
CKC102 number,
CASH_PAY number,
COM_ACC_PAY number,
ENT_ACC_PAY number,
ENT_PAY number,
COM_PAY number,
OLDC_FUND_PAY number,
SPE_FUND_PAY number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 患者谢昊昊在二00五年一月二十七日到二0一四年八月十一日期间，最常去的是哪家医院
| SELECT MED_SER_ORG_NO FROM t_kc21 WHERE PERSON_NM = '谢昊昊' AND IN_HOSP_DATE BETWEEN '2005-01-27' AND '2014-08-11' GROUP BY MED_SER_ORG_NO ORDER BY COUNT(*) DESC LIMIT 1 | css |
CREATE TABLE table_18506 (
"District" text,
"Incumbent" text,
"Party" text,
"First elected" real,
"Result" text,
"Candidates" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What candidate was re-elected in the Louisiana 5 district?
| SELECT "Candidates" FROM table_18506 WHERE "Result" = 'Re-elected' AND "District" = 'Louisiana 5' | 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 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 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.
-- how many patients whose diagnoses icd9 code is 27801?
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE diagnoses.icd9_code = "27801" | mimicsql_data |
CREATE TABLE table_44957 (
"Place" text,
"Player" text,
"Country" text,
"Score" text,
"To par" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- WHAT PLACE DOES TOM LEHMAN HAVE?
| SELECT "Place" FROM table_44957 WHERE "Player" = 'tom lehman' | wikisql |
CREATE TABLE table_30159 (
"No. in series" real,
"No. in season" real,
"Title" text,
"Directed by" text,
"Written by" text,
"Original air date" text,
"Production" text,
"U.S. viewers (in millions)" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What are the original air dates for episodes directed by fred toye?
| SELECT "Original air date" FROM table_30159 WHERE "Directed by" = 'Fred Toye' | wikisql |
CREATE TABLE jyjgzbb (
BGDH text,
BGRQ time,
CKZFWDX text,
CKZFWSX number,
CKZFWXX number,
JCFF text,
JCRGH text,
JCRXM text,
JCXMMC text,
JCZBDM text,
JCZBJGDL number,
JCZBJGDW text,
JCZBJGDX text,
JCZBMC text,
JLDW text,
JYRQ time,
JYZBLSH text,
SBBM text,
SHRGH text,
SHRXM text,
YLJGDM text,
YQBH text,
YQMC text
)
CREATE TABLE hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text,
person_info_CSD text,
person_info_CSRQ time,
person_info_GJDM text,
person_info_GJMC text,
person_info_JGDM text,
person_info_JGMC text,
person_info_MZDM text,
person_info_MZMC text,
person_info_XBDM number,
person_info_XBMC text,
person_info_XLDM text,
person_info_XLMC text,
person_info_XM text,
person_info_ZYLBDM text,
person_info_ZYMC text
)
CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
YLJGDM text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
CREATE TABLE jybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH text,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
JYKSBM text,
JYKSMC text,
JYLX number,
JYRQ time,
JYSQJGMC text,
JYXMDM text,
JYXMMC text,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM text,
YLJGDM_MZJZJLB text,
YLJGDM_ZYJZJLB text
)
CREATE TABLE mzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH text,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
KH text,
KLX number,
MJZH text,
ML number,
MZZYZDZZBM text,
MZZYZDZZMC text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TXBZ number,
TZ number,
WDBZ number,
XL number,
YLJGDM text,
ZSEBZ number,
ZZBZ number,
ZZYSGH text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 哪些工号及姓名的医务人员在患者魏乐志就诊过程中为他检测指标977450的，时间是从一二年九月十七日到二一年五月十七日
| SELECT jyjgzbb.JCRGH, jyjgzbb.JCRXM FROM hz_info JOIN mzjzjlb JOIN jybgb JOIN jyjgzbb ON hz_info.YLJGDM = mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX AND mzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND mzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH WHERE jyjgzbb.JYRQ BETWEEN '2012-09-17' AND '2021-05-17' AND hz_info.person_info_XM = '魏乐志' AND jyjgzbb.JCZBDM = '977450' UNION SELECT jyjgzbb.JCRGH, jyjgzbb.JCRXM FROM hz_info JOIN zyjzjlb JOIN jybgb JOIN jyjgzbb ON hz_info.YLJGDM = zyjzjlb.YLJGDM AND hz_info.KH = zyjzjlb.KH AND hz_info.KLX = zyjzjlb.KLX AND zyjzjlb.YLJGDM = jybgb.YLJGDM_ZYJZJLB AND zyjzjlb.JZLSH = jybgb.JZLSH_ZYJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH WHERE jyjgzbb.JYRQ BETWEEN '2012-09-17' AND '2021-05-17' AND hz_info.person_info_XM = '魏乐志' AND jyjgzbb.JCZBDM = '977450' | css |
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- provide the number of patients whose age is less than 45 and procedure long title is open biopsy of liver?
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.age < "45" AND procedures.long_title = "Open biopsy of liver" | mimicsql_data |
CREATE TABLE table_34307 (
"Round" real,
"Player" text,
"Position" text,
"Nationality" text,
"College/Junior/Club Team" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Can you tell me the College/Junior/Club Team that has the Position of defence, and the Nationality of czechoslovakia?
| SELECT "College/Junior/Club Team" FROM table_34307 WHERE "Position" = 'defence' AND "Nationality" = 'czechoslovakia' | wikisql |
CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
CREATE TABLE transfers (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
eventtype text,
careunit text,
wardid number,
intime time,
outtime time
)
CREATE TABLE icustays (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
first_careunit text,
last_careunit text,
first_wardid number,
last_wardid number,
intime time,
outtime time
)
CREATE TABLE chartevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label text
)
CREATE TABLE patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
CREATE TABLE diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE d_items (
row_id number,
itemid number,
label text,
linksto text
)
CREATE TABLE d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE admissions (
row_id number,
subject_id number,
hadm_id number,
admittime time,
dischtime time,
admission_type text,
admission_location text,
discharge_location text,
insurance text,
language text,
marital_status text,
ethnicity text,
age number
)
CREATE TABLE prescriptions (
row_id number,
subject_id number,
hadm_id number,
startdate time,
enddate time,
drug text,
dose_val_rx text,
dose_unit_rx text,
route text
)
CREATE TABLE d_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value number
)
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
CREATE TABLE inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
CREATE TABLE labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what was the last time patient 78086 was prescribed medication?
| SELECT prescriptions.startdate FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 78086) ORDER BY prescriptions.startdate DESC LIMIT 1 | mimic_iii |
CREATE TABLE table_name_48 (
identity VARCHAR,
builder VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the identity of the brighton works built train?
| SELECT identity FROM table_name_48 WHERE builder = "brighton works" | sql_create_context |
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- show me the number of patients who are taking tramadol medication and were admitted in hospital before 2163.
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admityear < "2163" AND prescriptions.drug = "traMADOL" | mimicsql_data |
CREATE TABLE table_202_122 (
id number,
"rank" number,
"title" text,
"studio" text,
"actor/actress" text,
"director" text,
"gross" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how many films star eddie murphy ?
| SELECT COUNT("title") FROM table_202_122 WHERE "actor/actress" = 'eddie murphy' | squall |
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 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
)
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 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 把患者37690817在6843197住院结束出院的时候科室名字里带有换药的住院记录列一下
| SELECT * FROM hz_info JOIN zyjzjlb ON hz_info.YLJGDM = zyjzjlb.YLJGDM AND hz_info.KH = zyjzjlb.KH AND hz_info.KLX = zyjzjlb.KLX WHERE hz_info.RYBH = '37690817' AND hz_info.YLJGDM = '6843197' AND zyjzjlb.CYKSMC LIKE '%换药%' | css |
CREATE TABLE table_26805 (
"School" text,
"Mascot" text,
"Location" text,
"Founded" real,
"Entered ISL" real,
"Grades" text,
"Number of Students" text,
"Varsity Teams" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how many places have 17 varsity teams?
| SELECT COUNT("Location") FROM table_26805 WHERE "Varsity Teams" = '17' | wikisql |
CREATE TABLE table_name_89 (
source VARCHAR,
name VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the source for the person named Cresswell?
| SELECT source FROM table_name_89 WHERE name = "cresswell" | sql_create_context |
CREATE TABLE customers (
customer_id VARCHAR,
customer_name VARCHAR
)
CREATE TABLE customers_policies (
customer_id VARCHAR,
policy_id VARCHAR
)
CREATE TABLE available_policies (
policy_type_code VARCHAR,
policy_id VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What are all the policy types of the customer named 'Dayana Robel'?
| SELECT DISTINCT t3.policy_type_code FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id JOIN available_policies AS t3 ON t2.policy_id = t3.policy_id WHERE t1.customer_name = "Dayana Robel" | sql_create_context |
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 allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE 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 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 cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- has any 30 ml cup : alum & mag hydroxide-simeth 200-200-20 mg/5ml po susp been prescribed to patient 004-66442 until 03/2102?
| SELECT COUNT(*) > 0 FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '004-66442')) AND medication.drugname = '30 ml cup : alum & mag hydroxide-simeth 200-200-20 mg/5ml po susp' AND STRFTIME('%y-%m', medication.drugstarttime) <= '2102-03' | eicu |
CREATE TABLE table_test_11 (
"id" int,
"left_ventricular_ejection_fraction_lvef" int,
"systolic_blood_pressure_sbp" int,
"tachycardia" int,
"bradycardia" int,
"renal_disease" bool,
"allergy_to_aspirin" bool,
"temperature" float,
"creatinine_clearance_cl" float,
"diastolic_blood_pressure_dbp" int,
"hypotension" bool,
"serum_creatinine" float,
"hypertension" bool,
"NOUSE" float
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- bradycardia _ pulse < 55 ppm
| SELECT * FROM table_test_11 WHERE bradycardia < 55 | criteria2sql |
CREATE TABLE table_69377 (
"Date" text,
"Opponent" text,
"Score" text,
"Loss" text,
"Attendance" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the opponent on August 29?
| SELECT "Opponent" FROM table_69377 WHERE "Date" = 'august 29' | wikisql |
CREATE TABLE table_38319 (
"Round" real,
"Circuit" text,
"State/Territory" text,
"Date" text,
"Winning driver" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the state the winning driver Jamie Whincup from in round 2?
| SELECT "State/Territory" FROM table_38319 WHERE "Winning driver" = 'jamie whincup' AND "Round" = '2' | wikisql |
CREATE TABLE schedule (
Cinema_ID int,
Film_ID int,
Date text,
Show_times_per_day int,
Price float
)
CREATE TABLE cinema (
Cinema_ID int,
Name text,
Openning_year int,
Capacity int,
Location text
)
CREATE TABLE film (
Film_ID int,
Rank_in_series int,
Number_in_season int,
Title text,
Directed_by text,
Original_air_date text,
Production_code text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Give me a bar chart showing the number of films for each director, rank in ascending by the Y-axis.
| SELECT Directed_by, COUNT(Directed_by) FROM film GROUP BY Directed_by ORDER BY COUNT(Directed_by) | nvbench |
CREATE TABLE addresses (
address_id number,
line_1_number_building text,
city text,
zip_postcode text,
state_province_county text,
country text
)
CREATE TABLE lessons (
lesson_id number,
customer_id number,
lesson_status_code text,
staff_id number,
vehicle_id number,
lesson_date time,
lesson_time text,
price number
)
CREATE TABLE vehicles (
vehicle_id number,
vehicle_details text
)
CREATE TABLE staff (
staff_id number,
staff_address_id number,
nickname text,
first_name text,
middle_name text,
last_name text,
date_of_birth time,
date_joined_staff time,
date_left_staff time
)
CREATE TABLE customers (
customer_id number,
customer_address_id number,
customer_status_code text,
date_became_customer time,
date_of_birth time,
first_name text,
last_name text,
amount_outstanding number,
email_address text,
phone_number text,
cell_mobile_phone_number text
)
CREATE TABLE customer_payments (
customer_id number,
datetime_payment time,
payment_method_code text,
amount_payment number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many lessons have been cancelled?
| SELECT COUNT(*) FROM lessons WHERE lesson_status_code = "Cancelled" | spider |
CREATE TABLE basketball_match (
Team_ID int,
School_ID int,
Team_Name text,
ACC_Regular_Season text,
ACC_Percent text,
ACC_Home text,
ACC_Road text,
All_Games text,
All_Games_Percent int,
All_Home text,
All_Road text,
All_Neutral text
)
CREATE TABLE university (
School_ID int,
School text,
Location text,
Founded real,
Affiliation text,
Enrollment real,
Nickname text,
Primary_conference text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- A bar chart shows the distribution of ACC_Road and Team_ID , and group by attribute ACC_Home, and list from high to low by the Team_ID.
| SELECT ACC_Road, Team_ID FROM basketball_match GROUP BY ACC_Home, ACC_Road ORDER BY Team_ID DESC | nvbench |
CREATE TABLE table_9757 (
"Player" text,
"Country" text,
"Year(s) won" text,
"Total" real,
"To par" text,
"Finish" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What year or years did arnold palmer win?
| SELECT "Year(s) won" FROM table_9757 WHERE "Player" = 'arnold palmer' | wikisql |
CREATE TABLE table_51001 (
"Round" real,
"Pick" real,
"Player" text,
"Position" text,
"School/Club Team" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- In what round was a player from Michigan selected?
| SELECT MAX("Round") FROM table_51001 WHERE "School/Club Team" = 'michigan' | wikisql |
CREATE TABLE table_27941 (
"meas. num." real,
"passed" text,
"YES votes" real,
"NO votes" real,
"% YES" text,
"Const. Amd.?" text,
"type" text,
"description" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the description of the measure that got 78.27% yes votes?
| SELECT "description" FROM table_27941 WHERE "% YES" = '78.27%' | wikisql |
CREATE TABLE table_67537 (
"Country" text,
"2012" real,
"2011" real,
"2010" real,
"2009" real,
"2008" real,
"2007" real,
"2006" real,
"2005" real,
"2004" real,
"2003" real,
"2002" real,
"2001" real,
"2000" real,
"1999" real,
"1998" real,
"1997" real,
"1996" real,
"1995" real,
"1994" real,
"1993" real,
"1992" real,
"1991" real,
"1990" real,
"1989" real,
"1988" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the listing for 2012 when 2004 is more than 0, 2008 is more than 1 1994 is 8 and 2005 is less than 11?
| SELECT MIN("2012") FROM table_67537 WHERE "2004" > '0' AND "2008" > '1' AND "1994" = '8' AND "2005" < '11' | wikisql |
CREATE TABLE table_78398 (
"Res." text,
"Record" text,
"Opponent" text,
"Method" text,
"Event" text,
"Round" real,
"Time" text,
"Location" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the method when the time was 1:01?
| SELECT "Method" FROM table_78398 WHERE "Time" = '1:01' | wikisql |
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 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.
-- count the number of patients whose death status is 0 and procedure long title is endoscopic removal of stone(s) from biliary tract?
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.expire_flag = "0" AND procedures.long_title = "Endoscopic removal of stone(s) from biliary tract" | mimicsql_data |
CREATE TABLE table_42482 (
"Volume:Issue" text,
"Issue Date(s)" text,
"Weeks on Top" real,
"Song" text,
"Artist" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the Song with an Issue Date(s) that is 19 june?
| SELECT "Song" FROM table_42482 WHERE "Issue Date(s)" = '19 june' | wikisql |
CREATE TABLE table_29152820_1 (
no_in_season VARCHAR,
no_in_series VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many episodes are 122 in the series?
| SELECT COUNT(no_in_season) FROM table_29152820_1 WHERE no_in_series = 122 | sql_create_context |
CREATE TABLE table_name_24 (
result VARCHAR,
date VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the Result from the Date that is December 8, 1963?
| SELECT result FROM table_name_24 WHERE date = "december 8, 1963" | sql_create_context |
CREATE TABLE table_12070 (
"Year" real,
"Movie title" text,
"Role" text,
"Direction" text,
"Screenplay" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which role did joemon play before 1991?
| SELECT "Role" FROM table_12070 WHERE "Year" < '1991' AND "Direction" = 'joemon' | wikisql |
CREATE TABLE table_name_6 (
laps INTEGER,
driver VARCHAR,
grid VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many laps did Jo Bonnier driver when the grid number was smaller than 11?
| SELECT SUM(laps) FROM table_name_6 WHERE driver = "jo bonnier" AND grid < 11 | sql_create_context |
CREATE TABLE table_name_91 (
points VARCHAR,
chassis VARCHAR,
year VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the Point of Chassis of Lancia d50 in 1954
| SELECT points FROM table_name_91 WHERE chassis = "lancia d50" AND year = 1954 | sql_create_context |
CREATE TABLE Lessons (
lesson_id INTEGER,
customer_id INTEGER,
lesson_status_code VARCHAR(15),
staff_id INTEGER,
vehicle_id INTEGER,
lesson_date DATETIME,
lesson_time VARCHAR(10),
price DOUBLE
)
CREATE TABLE Addresses (
address_id INTEGER,
line_1_number_building VARCHAR(80),
city VARCHAR(50),
zip_postcode VARCHAR(20),
state_province_county VARCHAR(50),
country VARCHAR(50)
)
CREATE TABLE Customers (
customer_id INTEGER,
customer_address_id INTEGER,
customer_status_code VARCHAR(15),
date_became_customer DATETIME,
date_of_birth DATETIME,
first_name VARCHAR(80),
last_name VARCHAR(80),
amount_outstanding DOUBLE,
email_address VARCHAR(250),
phone_number VARCHAR(255),
cell_mobile_phone_number VARCHAR(255)
)
CREATE TABLE Staff (
staff_id INTEGER,
staff_address_id INTEGER,
nickname VARCHAR(80),
first_name VARCHAR(80),
middle_name VARCHAR(80),
last_name VARCHAR(80),
date_of_birth DATETIME,
date_joined_staff DATETIME,
date_left_staff DATETIME
)
CREATE TABLE Vehicles (
vehicle_id INTEGER,
vehicle_details VARCHAR(255)
)
CREATE TABLE Customer_Payments (
customer_id INTEGER,
datetime_payment DATETIME,
payment_method_code VARCHAR(10),
amount_payment DOUBLE
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- For each customer status code, how many customers are classified that way Visualize by bar chart, and display in ascending by the bar.
| SELECT customer_status_code, COUNT(*) FROM Customers GROUP BY customer_status_code ORDER BY customer_status_code | nvbench |
CREATE TABLE table_62305 (
"Team 1" text,
"Agg." text,
"Team 2" text,
"1st leg" text,
"2nd leg" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Team 1, has Team 2, Slovan Liberec?
| SELECT "Team 1" FROM table_62305 WHERE "Team 2" = 'slovan liberec' | wikisql |
CREATE TABLE table_62464 (
"Parish (Prestegjeld)" text,
"Sub-Parish (Sokn)" text,
"Church Name" text,
"Year Built" text,
"Location of the Church" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the name of the church that is located in flor ?
| SELECT "Church Name" FROM table_62464 WHERE "Location of the Church" = 'florø' | wikisql |
CREATE TABLE table_name_99 (
money___ INTEGER,
country VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the highest amount of money a play from Scotland United States has?
| SELECT MAX(money___) AS $__ FROM table_name_99 WHERE country = "scotland united states" | sql_create_context |
CREATE TABLE table_50102 (
"Order" real,
"Name dates" text,
"Princess Royal from (date) to (date)" text,
"Parent" text,
"Date married" text,
"Husband dates" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who was the husband date that was married in 1858?
| SELECT "Husband dates" FROM table_50102 WHERE "Date married" = '1858' | wikisql |
CREATE TABLE table_76066 (
"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.
-- What is the team #2 with Deport as team #1?
| SELECT "Team #2" FROM table_76066 WHERE "Team #1" = 'deport' | 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 demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- calculate the number of patients treated with benz100 and aged below 67.
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "67" AND prescriptions.formulary_drug_cd = "BENZ100" | mimicsql_data |
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