context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28 values |
|---|---|---|---|
CREATE TABLE table_6685 (
"Round" real,
"Pick #" real,
"Overall" real,
"Name" text,
"Position" text,
"College" text
) | What is the average pick # of the player from round 11? | SELECT AVG("Pick #") FROM table_6685 WHERE "Round" = '11' | wikisql |
CREATE TABLE table_2970978_1 (
ave_attendance INTEGER,
___ave_on_prev_season VARCHAR
) | What is the least value for average attendance when average on previous season is +644? | SELECT MIN(ave_attendance) FROM table_2970978_1 WHERE ___ave_on_prev_season = "+644" | sql_create_context |
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 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 procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
) | give me the number of patients with diagnoses icd9 code 28522 who were discharged dead/expired. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.discharge_location = "DEAD/EXPIRED" AND diagnoses.icd9_code = "28522" | mimicsql_data |
CREATE TABLE table_26460435_8 (
monarch VARCHAR,
heir VARCHAR
) | Who is the monarch with the heir thado minsaw? | SELECT monarch FROM table_26460435_8 WHERE heir = "Thado Minsaw" | sql_create_context |
CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
CREATE TABLE patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
CREATE TABLE diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
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 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 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 d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount 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 d_labitems (
row_id number,
itemid number,
label 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 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_items (
row_id number,
itemid number,
label text,
linksto text
) | what were the four most frequent output events until 2101? | SELECT d_items.label FROM d_items WHERE d_items.itemid IN (SELECT t1.itemid FROM (SELECT outputevents.itemid, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM outputevents WHERE STRFTIME('%y', outputevents.charttime) <= '2101' GROUP BY outputevents.itemid) AS t1 WHERE t1.c1 <= 4) | mimic_iii |
CREATE TABLE table_26375386_23 (
result VARCHAR,
total VARCHAR
) | What was the result for the total of 12? | SELECT result FROM table_26375386_23 WHERE total = 12 | sql_create_context |
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
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
) | how many patients whose ethnicity is hispanic/latino - puerto rican and diagnoses long title is orthostatic hypotension? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.ethnicity = "HISPANIC/LATINO - PUERTO RICAN" AND diagnoses.long_title = "Orthostatic hypotension" | mimicsql_data |
CREATE TABLE table_name_49 (
class VARCHAR,
frequency_mhz INTEGER
) | What class is assigned to frequencies lower than 90.5? | SELECT class FROM table_name_49 WHERE frequency_mhz < 90.5 | sql_create_context |
CREATE TABLE table_7237 (
"Name" text,
"Japanese" text,
"Population ( 2012 )" real,
"Date of designation" text,
"Region" text,
"Prefecture" text
) | What Japanese prefecture has Ibaraki, Tsukuba? | SELECT "Japanese" FROM table_7237 WHERE "Prefecture" = 'ibaraki' AND "Name" = 'tsukuba' | wikisql |
CREATE TABLE Assessment_Notes (
notes_id INTEGER,
student_id INTEGER,
teacher_id INTEGER,
date_of_notes DATETIME,
text_of_notes VARCHAR(255),
other_details VARCHAR(255)
)
CREATE TABLE Ref_Incident_Type (
incident_type_code VARCHAR(10),
incident_type_description VARCHAR(80)
)
CREATE TABLE Students (
student_id INTEGER,
address_id INTEGER,
first_name VARCHAR(80),
middle_name VARCHAR(40),
last_name VARCHAR(40),
cell_mobile_number VARCHAR(40),
email_address VARCHAR(40),
date_first_rental DATETIME,
date_left_university DATETIME,
other_student_details VARCHAR(255)
)
CREATE TABLE Behavior_Incident (
incident_id INTEGER,
incident_type_code VARCHAR(10),
student_id INTEGER,
date_incident_start DATETIME,
date_incident_end DATETIME,
incident_summary VARCHAR(255),
recommendations VARCHAR(255),
other_details VARCHAR(255)
)
CREATE TABLE Detention (
detention_id INTEGER,
detention_type_code VARCHAR(10),
teacher_id INTEGER,
datetime_detention_start DATETIME,
datetime_detention_end DATETIME,
detention_summary VARCHAR(255),
other_details VARCHAR(255)
)
CREATE TABLE Students_in_Detention (
student_id INTEGER,
detention_id INTEGER,
incident_id INTEGER
)
CREATE TABLE Student_Addresses (
student_id INTEGER,
address_id INTEGER,
date_address_from DATETIME,
date_address_to DATETIME,
monthly_rental DECIMAL(19,4),
other_details VARCHAR(255)
)
CREATE TABLE Ref_Detention_Type (
detention_type_code VARCHAR(10),
detention_type_description VARCHAR(80)
)
CREATE TABLE Teachers (
teacher_id INTEGER,
address_id INTEGER,
first_name VARCHAR(80),
middle_name VARCHAR(80),
last_name VARCHAR(80),
gender VARCHAR(1),
cell_mobile_number VARCHAR(40),
email_address VARCHAR(40),
other_details VARCHAR(255)
)
CREATE TABLE Ref_Address_Types (
address_type_code VARCHAR(15),
address_type_description VARCHAR(80)
)
CREATE TABLE Addresses (
address_id INTEGER,
line_1 VARCHAR(120),
line_2 VARCHAR(120),
line_3 VARCHAR(120),
city VARCHAR(80),
zip_postcode VARCHAR(20),
state_province_county VARCHAR(50),
country VARCHAR(50),
other_address_details VARCHAR(255)
) | Show me about the distribution of date_address_to and the sum of monthly_rental bin date_address_to by weekday in a bar chart. | SELECT date_address_to, SUM(monthly_rental) FROM Student_Addresses ORDER BY monthly_rental DESC | nvbench |
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 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 procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
) | what is primary disease of subject name hector blair? | SELECT demographic.diagnosis FROM demographic WHERE demographic.name = "Hector Blair" | mimicsql_data |
CREATE TABLE table_name_95 (
round INTEGER,
record VARCHAR
) | What is the smallest round to have a record of 4-0? | SELECT MIN(round) FROM table_name_95 WHERE record = "4-0" | sql_create_context |
CREATE TABLE table_name_1 (
coach VARCHAR,
captain VARCHAR
) | Which coach works with Robert Harvey? | SELECT coach FROM table_name_1 WHERE captain = "robert harvey" | sql_create_context |
CREATE TABLE table_203_35 (
id number,
"pos" text,
"rider" text,
"manufacturer" text,
"time/retired" text,
"points" number
) | how many riders were faster than massimo ottobre ? | SELECT COUNT("rider") FROM table_203_35 WHERE "points" > (SELECT "points" FROM table_203_35 WHERE "rider" = 'massimo ottobre') | squall |
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,
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JCZBJGDX text,
JCZBMC text,
JLDW text,
JYRQ time,
JYZBLSH text,
SBBM text,
SHRGH text,
SHRXM text,
YLJGDM text,
YQBH text,
YQMC text
)
CREATE TABLE mzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH text,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
KH text,
KLX number,
MJZH text,
ML number,
MZZYZDZZBM text,
MZZYZDZZMC text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TXBZ number,
TZ number,
WDBZ number,
XL number,
YLJGDM text,
ZSEBZ number,
ZZBZ number,
ZZYSGH text
)
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
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CREATE TABLE mzjybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH number,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
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JYJGMC text,
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JYRQ time,
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JZLSH text,
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SQRGH text,
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YLJGDM number,
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CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
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ZYBMLX number,
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ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
CREATE TABLE hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
CREATE TABLE zyjybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH number,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
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BGSJ time,
CJRQ time,
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SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM number,
YLJGDM_MZJZJLB text,
YLJGDM_ZYJZJLB text
) | 在检验报告单70540908797的上面都有哪些检验项目，它们的名称还有代码都是什么？ | SELECT zyjybgb.JYXMDM, zyjybgb.JYXMMC FROM zyjybgb WHERE zyjybgb.BGDH = '70540908797' UNION SELECT mzjybgb.JYXMDM, mzjybgb.JYXMMC FROM mzjybgb WHERE mzjybgb.BGDH = '70540908797' | css |
CREATE TABLE table_name_16 (
opponent VARCHAR,
surface VARCHAR,
date VARCHAR
) | Who played on clay on 3 march 2012? | SELECT opponent FROM table_name_16 WHERE surface = "clay" AND date = "3 march 2012" | sql_create_context |
CREATE TABLE table_19753 (
"Result" text,
"Date" text,
"Race" text,
"Venue" text,
"Group" text,
"Distance" text,
"Weight (kg)" text,
"Jockey" text,
"Winner/2nd" text
) | How many different jockeys ran on 17 Feb 2007? | SELECT COUNT("Jockey") FROM table_19753 WHERE "Date" = '17 Feb 2007' | wikisql |
CREATE TABLE assignedto (
scientist number,
project text
)
CREATE TABLE scientists (
ssn number,
name text
)
CREATE TABLE projects (
code text,
name text,
hours number
) | What is the name of the project with the most hours? | SELECT name FROM projects ORDER BY hours DESC LIMIT 1 | spider |
CREATE TABLE table_4898 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
) | How many people watch an away team score 6.9 (45)? | SELECT AVG("Crowd") FROM table_4898 WHERE "Away team score" = '6.9 (45)' | wikisql |
CREATE TABLE table_2649597_1 (
finish VARCHAR,
start VARCHAR
) | Where did he finish when he started at 21.6? | SELECT COUNT(finish) FROM table_2649597_1 WHERE start = "21.6" | sql_create_context |
CREATE TABLE Fault_Log_Parts (
fault_log_entry_id INTEGER,
part_fault_id INTEGER,
fault_status VARCHAR(10)
)
CREATE TABLE Assets (
asset_id INTEGER,
maintenance_contract_id INTEGER,
supplier_company_id INTEGER,
asset_details VARCHAR(255),
asset_make VARCHAR(20),
asset_model VARCHAR(20),
asset_acquired_date DATETIME,
asset_disposed_date DATETIME,
other_asset_details VARCHAR(255)
)
CREATE TABLE Asset_Parts (
asset_id INTEGER,
part_id INTEGER
)
CREATE TABLE Engineer_Skills (
engineer_id INTEGER,
skill_id INTEGER
)
CREATE TABLE Part_Faults (
part_fault_id INTEGER,
part_id INTEGER,
fault_short_name VARCHAR(20),
fault_description VARCHAR(255),
other_fault_details VARCHAR(255)
)
CREATE TABLE Maintenance_Engineers (
engineer_id INTEGER,
company_id INTEGER,
first_name VARCHAR(50),
last_name VARCHAR(50),
other_details VARCHAR(255)
)
CREATE TABLE Skills (
skill_id INTEGER,
skill_code VARCHAR(20),
skill_description VARCHAR(255)
)
CREATE TABLE Engineer_Visits (
engineer_visit_id INTEGER,
contact_staff_id INTEGER,
engineer_id INTEGER,
fault_log_entry_id INTEGER,
fault_status VARCHAR(10),
visit_start_datetime DATETIME,
visit_end_datetime DATETIME,
other_visit_details VARCHAR(255)
)
CREATE TABLE Staff (
staff_id INTEGER,
staff_name VARCHAR(255),
gender VARCHAR(1),
other_staff_details VARCHAR(255)
)
CREATE TABLE Third_Party_Companies (
company_id INTEGER,
company_type VARCHAR(5),
company_name VARCHAR(255),
company_address VARCHAR(255),
other_company_details VARCHAR(255)
)
CREATE TABLE Skills_Required_To_Fix (
part_fault_id INTEGER,
skill_id INTEGER
)
CREATE TABLE Fault_Log (
fault_log_entry_id INTEGER,
asset_id INTEGER,
recorded_by_staff_id INTEGER,
fault_log_entry_datetime DATETIME,
fault_description VARCHAR(255),
other_fault_details VARCHAR(255)
)
CREATE TABLE Maintenance_Contracts (
maintenance_contract_id INTEGER,
maintenance_contract_company_id INTEGER,
contract_start_date DATETIME,
contract_end_date DATETIME,
other_contract_details VARCHAR(255)
)
CREATE TABLE Parts (
part_id INTEGER,
part_name VARCHAR(255),
chargeable_yn VARCHAR(1),
chargeable_amount VARCHAR(20),
other_part_details VARCHAR(255)
) | List the number of engineers and group by other details in a pie chart. | SELECT other_details, COUNT(other_details) FROM Maintenance_Engineers AS T1 JOIN Engineer_Skills AS T2 ON T1.engineer_id = T2.engineer_id JOIN Skills AS T3 ON T2.skill_id = T3.skill_id GROUP BY other_details | nvbench |
CREATE TABLE hz_info (
KH text,
KLX number,
YLJGDM text,
RYBH text
)
CREATE TABLE person_info (
RYBH text,
XBDM number,
XBMC text,
XM text,
CSRQ time,
CSD text,
MZDM text,
MZMC text,
GJDM text,
GJMC text,
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JGMC text,
XLDM text,
XLMC text,
ZYLBDM text,
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CREATE TABLE jybgb (
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JYXMDM text,
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JYJGMC text,
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CREATE TABLE zyjzjlb (
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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
) | 从08年5月22日起到08年11月21日患者54662739的所有检验结果指标记录中的检测方法可以提供一下吗？ | (SELECT jyjgzbb.JCFF 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 hz_info.RYBH = '54662739' AND jyjgzbb.JYRQ BETWEEN '2008-05-22' AND '2008-11-21') UNION (SELECT jyjgzbb.JCFF 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 hz_info.RYBH = '54662739' AND jyjgzbb.JYRQ BETWEEN '2008-05-22' AND '2008-11-21') | css |
CREATE TABLE LOCATIONS (
Address VARCHAR,
Location_Name VARCHAR
) | What is the address of the location 'UK Gallery'? | SELECT Address FROM LOCATIONS WHERE Location_Name = "UK Gallery" | sql_create_context |
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
) | For those employees who was hired before 2002-06-21, give me the comparison about the average of salary over the hire_date bin hire_date by time. | SELECT HIRE_DATE, AVG(SALARY) FROM employees WHERE HIRE_DATE < '2002-06-21' | nvbench |
CREATE TABLE table_49779 (
"Year" real,
"Series" text,
"Make" text,
"Driver" text,
"Team" text,
"Schedule" text,
"Role" text
) | what is the team when the make is dodge and the year is after 2008? | SELECT "Team" FROM table_49779 WHERE "Make" = 'dodge' AND "Year" > '2008' | wikisql |
CREATE TABLE submission (
Submission_ID int,
Scores real,
Author text,
College text
)
CREATE TABLE Acceptance (
Submission_ID int,
Workshop_ID int,
Result text
)
CREATE TABLE workshop (
Workshop_ID int,
Date text,
Venue text,
Name text
) | Group by the result and count them by a bar chart, rank from low to high by the Y. | SELECT Result, COUNT(Result) FROM Acceptance GROUP BY Result ORDER BY COUNT(Result) | nvbench |
CREATE TABLE table_name_41 (
weight VARCHAR,
denomination VARCHAR
) | What is the weight with a denomination that is three paise? | SELECT weight FROM table_name_41 WHERE denomination = "three paise" | sql_create_context |
CREATE TABLE table_26693 (
"Team" text,
"Outgoing manager" text,
"Manner of departure" text,
"Date of vacancy" text,
"Replaced by" text,
"Date of appointment" text,
"Position in table" text
) | How many times was the date of vacancy 14 february 2011? | SELECT COUNT("Position in table") FROM table_26693 WHERE "Date of vacancy" = '14 February 2011' | wikisql |
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 fgwyjzb (
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 number,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
MED_SER_ORG_NO text,
MED_TYPE number,
OUT_DIAG_DIS_CD text,
OUT_DIAG_DIS_NM text,
OUT_DIAG_DOC_CD text,
OUT_DIAG_DOC_NM text,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
PERSON_AGE number,
PERSON_ID text,
PERSON_NM text,
PERSON_SEX number,
REIMBURSEMENT_FLG number,
REMOTE_SETTLE_FLG text,
SOC_SRT_CARD text,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE gwyjzb (
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 number,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
MED_SER_ORG_NO text,
MED_TYPE number,
OUT_DIAG_DIS_CD text,
OUT_DIAG_DIS_NM text,
OUT_DIAG_DOC_CD text,
OUT_DIAG_DOC_NM text,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
PERSON_AGE number,
PERSON_ID text,
PERSON_NM text,
PERSON_SEX number,
REIMBURSEMENT_FLG number,
REMOTE_SETTLE_FLG text,
SOC_SRT_CARD text,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE t_kc24 (
ACCOUNT_DASH_DATE time,
ACCOUNT_DASH_FLG number,
CASH_PAY number,
CIVIL_SUBSIDY number,
CKC102 number,
CLINIC_ID text,
CLINIC_SLT_DATE time,
COMP_ID text,
COM_ACC_PAY number,
COM_PAY number,
DATA_ID text,
ENT_ACC_PAY number,
ENT_PAY number,
FLX_MED_ORG_ID text,
ILL_PAY number,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
LAS_OVE_PAY number,
MED_AMOUT number,
MED_CLINIC_ID text,
MED_SAFE_PAY_ID text,
MED_TYPE number,
OLDC_FUND_PAY number,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_ADD_PAY number,
OVE_PAY number,
PERSON_ID text,
PER_ACC_PAY number,
PER_EXP number,
PER_SOL number,
RECEIVER_DEAL_ID text,
RECEIVER_OFFSET_ID text,
RECEIVER_REVOKE_ID text,
RECIPE_BILL_ID text,
REF_SLT_FLG number,
REIMBURS_FLG number,
SENDER_DEAL_ID text,
SENDER_OFFSET_ID text,
SENDER_REVOKE_ID text,
SPE_FUND_PAY number,
SUP_ADD_PAY number,
SYNC_TIME time,
TRADE_TYPE number
) | 序列号31931776的参保人住院整数金额次数有多少次？ | SELECT COUNT(*) FROM gwyjzb WHERE gwyjzb.PERSON_ID = '31931776' AND gwyjzb.CLINIC_TYPE = '住院' AND MOD(gwyjzb.MED_AMOUT, 1) = 0 UNION SELECT COUNT(*) FROM fgwyjzb WHERE fgwyjzb.PERSON_ID = '31931776' AND fgwyjzb.CLINIC_TYPE = '住院' AND MOD(fgwyjzb.MED_AMOUT, 1) = 0 | css |
CREATE TABLE table_6021 (
"Rank" real,
"Rider" text,
"Manufacturer" text,
"Points" real,
"Wins" real
) | Points larger than 108, and a Wins of 0, and a Rank smaller than 8, and a Manufacturer of honda is what rider? | SELECT "Rider" FROM table_6021 WHERE "Points" > '108' AND "Wins" = '0' AND "Rank" < '8' AND "Manufacturer" = 'honda' | wikisql |
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE 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
) | How many female patients are with lab test name creatinine kinase (ck)? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.gender = "F" AND lab.label = "Creatine Kinase (CK)" | mimicsql_data |
CREATE TABLE table_204_639 (
id number,
"poll company" text,
"source" text,
"publication date" text,
"psuv" number,
"opposition" number,
"undecided" number
) | what is the total number of polls published by the company gis xxi ? | SELECT COUNT(*) FROM table_204_639 WHERE "poll company" = 'gis xxi' | squall |
CREATE TABLE Staff (
staff_id INTEGER,
staff_first_name VARCHAR(80),
staff_last_name VARCHAR(80),
other_staff_details VARCHAR(255)
)
CREATE TABLE Problems (
problem_id INTEGER,
product_id INTEGER,
closure_authorised_by_staff_id INTEGER,
reported_by_staff_id INTEGER,
date_problem_reported DATETIME,
date_problem_closed DATETIME,
problem_description VARCHAR(255),
other_problem_details VARCHAR(255)
)
CREATE TABLE Product (
product_id INTEGER,
product_name VARCHAR(80),
product_details VARCHAR(255)
)
CREATE TABLE Problem_Status_Codes (
problem_status_code VARCHAR(20),
problem_status_description VARCHAR(80)
)
CREATE TABLE Problem_Category_Codes (
problem_category_code VARCHAR(20),
problem_category_description VARCHAR(80)
)
CREATE TABLE Problem_Log (
problem_log_id INTEGER,
assigned_to_staff_id INTEGER,
problem_id INTEGER,
problem_category_code VARCHAR(20),
problem_status_code VARCHAR(20),
log_entry_date DATETIME,
log_entry_description VARCHAR(255),
log_entry_fix VARCHAR(255),
other_log_details VARCHAR(255)
) | Find all dates of the logs for the problem whose id is 10, show me a bar chart that bins the dates into the weekday interval, and counts the dates, and I want to show from high to low by the y axis. | SELECT log_entry_date, COUNT(log_entry_date) FROM Problem_Log WHERE problem_id = 10 ORDER BY COUNT(log_entry_date) DESC | nvbench |
CREATE TABLE table_49279 (
"Game" real,
"Date" text,
"Opponent" text,
"Score" text,
"Location/Attendance" text,
"Record" text
) | What is the score of the game on December 22? | SELECT "Score" FROM table_49279 WHERE "Date" = 'december 22' | wikisql |
CREATE TABLE table_dev_14 (
"id" int,
"anemia" bool,
"pulmonary_disease" bool,
"c_peptide_level" float,
"hemoglobin_a1c_hba1c" float,
"renal_disease" bool,
"cardiovascular_disease" bool,
"estimated_glomerular_filtration_rate_egfr" int,
"fasting_c_peptide" float,
"organ_failure" bool,
"body_mass_index_bmi" float,
"hypertension" bool,
"NOUSE" float
) | significant organ system dysfunction ( e.g., clinically significant pulmonary or cardiovascular disease, anemia [hemoglobin < 10 g / dl], known hemoglobinopathies, and renal dysfunction [egfr < 60 ml / min] ) ; | SELECT * FROM table_dev_14 WHERE organ_failure = 1 OR pulmonary_disease = 1 OR cardiovascular_disease = 1 OR anemia = 1 OR hemoglobin_a1c_hba1c < 10 OR renal_disease = 1 OR estimated_glomerular_filtration_rate_egfr < 60 | criteria2sql |
CREATE TABLE table_name_57 (
time VARCHAR,
nation VARCHAR,
race VARCHAR
) | What is the time of the peachtree road race in kenya? | SELECT time FROM table_name_57 WHERE nation = "kenya" AND race = "peachtree road race" | sql_create_context |
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE 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
) | provide the number of patients whose year of birth is less than 2175 and procedure icd9 code is 9915? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.dob_year < "2175" AND procedures.icd9_code = "9915" | mimicsql_data |
CREATE TABLE table_50602 (
"Oklahoma vs." text,
"Overall Record" text,
"at Norman" text,
"at Opponent's Venue" text,
"at Neutral Site" text,
"Last 5 Meetings" text,
"Last 10 Meetings" text,
"Current Streak" text,
"Since Beginning of Big 12" text
) | What is Oklahoma vs. when Current Streak is l 1, and Neutral Site is osu, 7-6? | SELECT "Oklahoma vs." FROM table_50602 WHERE "Current Streak" = 'l 1' AND "at Neutral Site" = 'osu, 7-6' | wikisql |
CREATE TABLE table_name_42 (
pick INTEGER,
player VARCHAR
) | Which pick was MIchael Holper? | SELECT MIN(pick) FROM table_name_42 WHERE player = "michael holper" | sql_create_context |
CREATE TABLE table_name_46 (
player VARCHAR,
total VARCHAR
) | What player has a total of 290 points? | SELECT player FROM table_name_46 WHERE total = 290 | sql_create_context |
CREATE TABLE table_46121 (
"Round" real,
"Pick" real,
"Overall" real,
"Name" text,
"Position" text,
"College" text
) | Lowest pick for mike flater? | SELECT MIN("Pick") FROM table_46121 WHERE "Name" = 'mike flater' | wikisql |
CREATE TABLE table_name_20 (
film_title_used_in_nomination VARCHAR,
original_title VARCHAR
) | What title was used in the nomination of Una Giornata Particolare? | SELECT film_title_used_in_nomination FROM table_name_20 WHERE original_title = "una giornata particolare" | sql_create_context |
CREATE TABLE table_2117 (
"Institution" text,
"Location" text,
"Founded" real,
"Type" text,
"Enrollment" real,
"Nickname" text,
"Joined" real,
"Left" real,
"Current Conference" text
) | Which conference has the nickname Chargers? | SELECT "Current Conference" FROM table_2117 WHERE "Nickname" = 'Chargers' | wikisql |
CREATE TABLE table_name_65 (
margin_of_victory VARCHAR,
tournament VARCHAR
) | What was the margin of victory at the LPGA Championship? | SELECT margin_of_victory FROM table_name_65 WHERE tournament = "lpga championship" | sql_create_context |
CREATE TABLE table_43276 (
"element" text,
"group" real,
"period" real,
"reaction" text,
"potential" text
) | Which highest period's element is platinum? | SELECT MAX("period") FROM table_43276 WHERE "element" = 'platinum' | wikisql |
CREATE TABLE table_28941 (
"District" text,
"Incumbent" text,
"Party" text,
"First elected" text,
"Result" text,
"Candidates" text
) | Name the district for john randolph (dr) | SELECT "District" FROM table_28941 WHERE "Candidates" = 'John Randolph (DR)' | wikisql |
CREATE TABLE zyjzjlb_jybgb (
YLJGDM_ZYJZJLB text,
BGDH number,
YLJGDM number
)
CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
YLJGDM text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
CREATE TABLE mzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH text,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
KH text,
KLX number,
MJZH text,
ML number,
MZZYZDZZBM text,
MZZYZDZZMC text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TXBZ number,
TZ number,
WDBZ number,
XL number,
YLJGDM text,
ZSEBZ number,
ZZBZ number,
ZZYSGH text
)
CREATE TABLE hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
CREATE TABLE jyjgzbb (
BGDH text,
BGRQ time,
CKZFWDX text,
CKZFWSX number,
CKZFWXX number,
JCFF text,
JCRGH text,
JCRXM text,
JCXMMC text,
JCZBDM text,
JCZBJGDL number,
JCZBJGDW text,
JCZBJGDX text,
JCZBMC text,
JLDW text,
JYRQ time,
JYZBLSH text,
SBBM text,
SHRGH text,
SHRXM text,
YLJGDM text,
YQBH text,
YQMC text
)
CREATE TABLE person_info (
CSD text,
CSRQ time,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
MZDM text,
MZMC text,
RYBH text,
XBDM number,
XBMC text,
XLDM text,
XLMC text,
XM text,
ZYLBDM text,
ZYMC text
)
CREATE TABLE jybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH text,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
JYKSBM text,
JYKSMC text,
JYLX number,
JYRQ time,
JYSQJGMC text,
JYXMDM text,
JYXMMC text,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM text,
YLJGDM_MZJZJLB text
) | 列出患者42321223入院科室名称包含与的有哪些住院就诊记录在医院7925513中？ | 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 = '42321223' AND hz_info.YLJGDM = '7925513' AND zyjzjlb.JZKSMC LIKE '%与%' | css |
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 chartevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
itemid number,
charttime time,
valuenum number,
valueuom 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 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 outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value number
)
CREATE TABLE inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
CREATE TABLE diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime 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 microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
CREATE TABLE d_items (
row_id number,
itemid number,
label text,
linksto text
)
CREATE TABLE d_icd_diagnoses (
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 labevents (
row_id number,
subject_id number,
hadm_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
) | tell me the variation in weight of patient 22449 second measured on the last hospital visit compared to the value first measured on the last hospital visit? | SELECT (SELECT chartevents.valuenum FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 22449 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime DESC LIMIT 1)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'admit wt' AND d_items.linksto = 'chartevents') ORDER BY chartevents.charttime LIMIT 1 OFFSET 1) - (SELECT chartevents.valuenum FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 22449 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime DESC LIMIT 1)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'admit wt' AND d_items.linksto = 'chartevents') ORDER BY chartevents.charttime LIMIT 1) | mimic_iii |
CREATE TABLE Activity (
actid INTEGER,
activity_name varchar(25)
)
CREATE TABLE Faculty_Participates_in (
FacID INTEGER,
actid INTEGER
)
CREATE TABLE Faculty (
FacID INTEGER,
Lname VARCHAR(15),
Fname VARCHAR(15),
Rank VARCHAR(15),
Sex VARCHAR(1),
Phone INTEGER,
Room VARCHAR(5),
Building VARCHAR(13)
)
CREATE TABLE Participates_in (
stuid INTEGER,
actid INTEGER
)
CREATE TABLE Student (
StuID INTEGER,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
) | Show me a bar chart for how many faculty members does each building have? List the result with the name of the building, show from high to low by the x-axis. | SELECT Building, COUNT(*) FROM Faculty GROUP BY Building ORDER BY Building DESC | nvbench |
CREATE TABLE table_10566855_1 (
runner_up VARCHAR,
premier VARCHAR
) | who are all the runner-up for premier in richmond | SELECT runner_up FROM table_10566855_1 WHERE premier = "Richmond" | sql_create_context |
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
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 diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code 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 vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
) | what was the medication that patient 035-2057 was prescribed for the first time through the iv push route in 09/this year? | SELECT medication.drugname FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '035-2057')) AND medication.routeadmin = 'iv push' AND DATETIME(medication.drugstarttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND STRFTIME('%m', medication.drugstarttime) = '09' ORDER BY medication.drugstarttime LIMIT 1 | eicu |
CREATE TABLE table_18912 (
"Cost" text,
"2400 kWh/kWp\u2022y" text,
"2200 kWh/kWp\u2022y" text,
"2000 kWh/kWp\u2022y" text,
"1800 kWh/kWp\u2022y" text,
"1600 kWh/kWp\u2022y" text,
"1400 kWh/kWp\u2022y" text,
"1200 kWh/kWp\u2022y" text,
"1000 kWh/kWp\u2022y" text,
"800 kWh/kWp\u2022y" text
) | At the rate where 1000 kwh/kwp y is 26.0, what is the value of 1600 kwh/kwp y? | SELECT "1600 kWh/kWp\u2022y" FROM table_18912 WHERE "1000 kWh/kWp\u2022y" = '26.0' | wikisql |
CREATE TABLE table_46612 (
"Class" text,
"Part 1" text,
"Part 2" text,
"Part 3" text,
"Part 4" text,
"Verb meaning" text
) | What is the Part 3 when the Verb meaning is to gather? | SELECT "Part 3" FROM table_46612 WHERE "Verb meaning" = 'to gather' | wikisql |
CREATE TABLE table_name_62 (
american VARCHAR,
british VARCHAR
) | Which American has British of m? | SELECT american FROM table_name_62 WHERE british = "ɛm" | sql_create_context |
CREATE TABLE table_1137718_2 (
winning_driver VARCHAR,
date VARCHAR
) | Who was the winning driver on 13 August? | SELECT winning_driver FROM table_1137718_2 WHERE date = "13 August" | sql_create_context |
CREATE TABLE hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
YLJGDM text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
CREATE TABLE 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 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 jybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH text,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
JYKSBM text,
JYKSMC text,
JYLX number,
JYRQ time,
JYSQJGMC text,
JYXMDM text,
JYXMMC text,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM text,
YLJGDM_ZYJZJLB text
)
CREATE TABLE mzjzjlb_jybgb (
YLJGDM_MZJZJLB text,
BGDH number,
YLJGDM number
) | 有哪些人审核超过13份检验报告单在医疗就诊71249027132中？列出这些审核人工号和姓名分别是？ | SELECT jybgb.SHRGH, jybgb.SHRXM FROM jybgb WHERE jybgb.JZLSH = '71249027132' GROUP BY jybgb.SHRGH HAVING COUNT(*) > 13 | css |
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime 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 treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
) | what are the five most frequently given lab tests for patients who had previously received systemic antibiotics - metronidazole within the same hospital visit? | SELECT t3.labname FROM (SELECT t2.labname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, treatment.treatmenttime, patient.patienthealthsystemstayid FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE treatment.treatmentname = 'systemic antibiotics - metronidazole') AS t1 JOIN (SELECT patient.uniquepid, lab.labname, lab.labresulttime, patient.patienthealthsystemstayid FROM lab JOIN patient ON lab.patientunitstayid = patient.patientunitstayid) AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.treatmenttime < t2.labresulttime AND t1.patienthealthsystemstayid = t2.patienthealthsystemstayid GROUP BY t2.labname) AS t3 WHERE t3.c1 <= 5 | eicu |
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE 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 prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
) | provide the number of patients whose marital status is married and procedure long title is percutaneous (endoscopic) jejunostomy [pej]? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.marital_status = "MARRIED" AND procedures.long_title = "Percutaneous (endoscopic) jejunostomy [PEJ]" | mimicsql_data |
CREATE TABLE date_day (
month_number int,
day_number int,
year int,
day_name varchar
)
CREATE TABLE airport_service (
city_code varchar,
airport_code varchar,
miles_distant int,
direction varchar,
minutes_distant int
)
CREATE TABLE days (
days_code varchar,
day_name varchar
)
CREATE TABLE dual_carrier (
main_airline varchar,
low_flight_number int,
high_flight_number int,
dual_airline varchar,
service_name text
)
CREATE TABLE state (
state_code text,
state_name text,
country_name text
)
CREATE TABLE city (
city_code varchar,
city_name varchar,
state_code varchar,
country_name varchar,
time_zone_code varchar
)
CREATE TABLE ground_service (
city_code text,
airport_code text,
transport_type text,
ground_fare int
)
CREATE TABLE 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 class_of_service (
booking_class varchar,
rank int,
class_description 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 airline (
airline_code varchar,
airline_name text,
note text
)
CREATE TABLE restriction (
restriction_code text,
advance_purchase int,
stopovers text,
saturday_stay_required text,
minimum_stay int,
maximum_stay int,
application text,
no_discounts text
)
CREATE TABLE 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_fare (
flight_id int,
fare_id int
)
CREATE TABLE food_service (
meal_code text,
meal_number int,
compartment text,
meal_description 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
)
CREATE TABLE equipment_sequence (
aircraft_code_sequence varchar,
aircraft_code varchar
)
CREATE TABLE time_zone (
time_zone_code text,
time_zone_name text,
hours_from_gmt int
)
CREATE TABLE time_interval (
period text,
begin_time int,
end_time int
)
CREATE TABLE code_description (
code varchar,
description text
)
CREATE TABLE fare (
fare_id int,
from_airport varchar,
to_airport varchar,
fare_basis_code text,
fare_airline text,
restriction_code text,
one_direction_cost int,
round_trip_cost int,
round_trip_required varchar
)
CREATE TABLE flight (
aircraft_code_sequence text,
airline_code varchar,
airline_flight text,
arrival_time int,
connections int,
departure_time int,
dual_carrier text,
flight_days text,
flight_id int,
flight_number int,
from_airport varchar,
meal_code text,
stops int,
time_elapsed int,
to_airport varchar
)
CREATE TABLE flight_leg (
flight_id int,
leg_number int,
leg_flight int
)
CREATE TABLE month (
month_number int,
month_name text
) | what nonstop flights are available from OAKLAND to PITTSBURGH | 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 = 'OAKLAND' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'PITTSBURGH' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND flight.stops = 0 | atis |
CREATE TABLE table_17260 (
"Year" real,
"Theme" text,
"Artist" text,
"Mintage (Proof)" text,
"Issue Price (Proof)" text,
"Mintage (BU)[ clarification needed ]" text,
"Issue Price (BU)[ clarification needed ]" text
) | What is the year that the issue price (bu) is $26.95? | SELECT "Year" FROM table_17260 WHERE "Issue Price (BU)[ clarification needed ]" = '$26.95' | wikisql |
CREATE TABLE outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value number
)
CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
CREATE TABLE diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
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 inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
CREATE TABLE d_items (
row_id number,
itemid number,
label text,
linksto 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 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 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 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 d_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE icustays (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
first_careunit text,
last_careunit text,
first_wardid number,
last_wardid number,
intime time,
outtime time
)
CREATE TABLE d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
) | tell me the last test that patient 29806 had received on their first hospital visit? | SELECT d_labitems.label FROM d_labitems WHERE d_labitems.itemid IN (SELECT labevents.itemid FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 29806 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime LIMIT 1) ORDER BY labevents.charttime DESC LIMIT 1) | mimic_iii |
CREATE TABLE table_73554 (
"No. in series" real,
"Title" text,
"Directed by" text,
"Written by" text,
"Original air date" text,
"U.S. viewers (in millions)" text
) | How many directed by have 2.80 as u.s. viewers (in millions)? | SELECT COUNT("Directed by") FROM table_73554 WHERE "U.S. viewers (in millions)" = '2.80' | wikisql |
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_jybgb (
YLJGDM_MZJZJLB text,
BGDH number,
YLJGDM number
)
CREATE TABLE mzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH text,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
KH text,
KLX number,
MJZH text,
ML number,
MZZYZDZZBM text,
MZZYZDZZMC text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TXBZ number,
TZ number,
WDBZ number,
XL number,
YLJGDM text,
ZSEBZ number,
ZZBZ number,
ZZYSGH text
)
CREATE TABLE hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
CREATE TABLE jyjgzbb (
BGDH text,
BGRQ time,
CKZFWDX text,
CKZFWSX number,
CKZFWXX number,
JCFF text,
JCRGH text,
JCRXM text,
JCXMMC text,
JCZBDM text,
JCZBJGDL number,
JCZBJGDW text,
JCZBJGDX text,
JCZBMC text,
JLDW text,
JYRQ time,
JYZBLSH text,
SBBM text,
SHRGH text,
SHRXM text,
YLJGDM text,
YQBH text,
YQMC text
)
CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
YLJGDM text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
CREATE TABLE jybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH text,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
JYKSBM text,
JYKSMC text,
JYLX number,
JYRQ time,
JYSQJGMC text,
JYXMDM text,
JYXMMC text,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM text,
YLJGDM_ZYJZJLB text
) | 看看19年12月9号到20年6月11号9038216这个医疗机构特需门诊的就诊记录 | SELECT COUNT(*) FROM mzjzjlb WHERE mzjzjlb.YLJGDM = '9038216' AND mzjzjlb.JZKSRQ BETWEEN '2019-12-09' AND '2020-06-11' AND mzjzjlb.TXBZ > 0 | 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 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 procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
) | what is age and gender of subject id 31066? | SELECT demographic.age, demographic.gender FROM demographic WHERE demographic.subject_id = "31066" | mimicsql_data |
CREATE TABLE table_15537 (
"Call Sign" text,
"City of License" text,
"Frequency" text,
"age Watt" text,
"Coverage Area" text,
"Founded" text
) | Name the city of license for when founded is october 2010 | SELECT "City of License" FROM table_15537 WHERE "Founded" = 'october 2010' | wikisql |
CREATE TABLE table_name_8 (
iata VARCHAR,
airport VARCHAR
) | What is the IATA of Madrid-Barajas Airport? | SELECT iata FROM table_name_8 WHERE airport = "madrid-barajas airport" | sql_create_context |
CREATE TABLE table_name_51 (
place VARCHAR,
score VARCHAR,
player VARCHAR
) | What place has a score greater than 68, and camilo villegas as the player? | SELECT place FROM table_name_51 WHERE score > 68 AND player = "camilo villegas" | sql_create_context |
CREATE TABLE table_name_8 (
attendance INTEGER,
season VARCHAR,
premiership VARCHAR,
runner_up VARCHAR
) | If the season is before 2000, the runner up was north melbourne, and it's the pre-season cup, what's the sum of attendees? | SELECT SUM(attendance) FROM table_name_8 WHERE premiership = "pre-season cup" AND runner_up = "north melbourne" AND season < 2000 | sql_create_context |
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 inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
CREATE TABLE d_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title 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 d_icd_diagnoses (
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 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 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 labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label text
)
CREATE TABLE admissions (
row_id number,
subject_id number,
hadm_id number,
admittime time,
dischtime time,
admission_type text,
admission_location text,
discharge_location text,
insurance text,
language text,
marital_status text,
ethnicity text,
age number
)
CREATE TABLE d_items (
row_id number,
itemid number,
label text,
linksto text
) | what are the four most commonly given lab tests for patients of age 20s until 2103? | SELECT d_labitems.label FROM d_labitems WHERE d_labitems.itemid IN (SELECT t1.itemid FROM (SELECT labevents.itemid, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.age BETWEEN 20 AND 29) AND STRFTIME('%y', labevents.charttime) <= '2103' GROUP BY labevents.itemid) AS t1 WHERE t1.c1 <= 4) | mimic_iii |
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 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 inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
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 diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE d_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE 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 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 prescriptions (
row_id number,
subject_id number,
hadm_id number,
startdate time,
enddate time,
drug text,
dose_val_rx text,
dose_unit_rx text,
route text
)
CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
CREATE TABLE 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 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
) | when was patient 7375's first discharge until 2100 from the hospital? | SELECT admissions.dischtime FROM admissions WHERE admissions.subject_id = 7375 AND STRFTIME('%y', admissions.dischtime) <= '2100' ORDER BY admissions.dischtime LIMIT 1 | mimic_iii |
CREATE TABLE table_20944 (
"Round" real,
"Circuit" text,
"Date" text,
"Pole Position" text,
"Fastest Lap" text,
"Winning Driver" text,
"Winning Team" text
) | Who was the winning driver at Okayama International Circuit? | SELECT "Winning Driver" FROM table_20944 WHERE "Circuit" = 'Okayama International Circuit' | wikisql |
CREATE TABLE d_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title 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 d_items (
row_id number,
itemid number,
label text,
linksto 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 diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE 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 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 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_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
CREATE TABLE 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 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
) | since 1 year ago what are the four most frequently given procedures for patients 20s? | 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 20 AND 29) AND DATETIME(procedures_icd.charttime) >= DATETIME(CURRENT_TIME(), '-1 year') GROUP BY procedures_icd.icd9_code) AS t1 WHERE t1.c1 <= 4) | mimic_iii |
CREATE TABLE table_name_33 (
away_team VARCHAR,
score VARCHAR,
home_team VARCHAR
) | What is the Away team at the Wolverhampton Wanderers Home game with a Score of 2 0? | SELECT away_team FROM table_name_33 WHERE score = "2–0" AND home_team = "wolverhampton wanderers" | sql_create_context |
CREATE TABLE table_22050544_1 (
winner VARCHAR,
event__number VARCHAR
) | What is the winner in event number 15h? | SELECT winner FROM table_22050544_1 WHERE event__number = "15H" | sql_create_context |
CREATE TABLE staff (
staff_id number,
staff_first_name text,
staff_last_name text,
other_staff_details text
)
CREATE TABLE problem_status_codes (
problem_status_code text,
problem_status_description text
)
CREATE TABLE problems (
problem_id number,
product_id number,
closure_authorised_by_staff_id number,
reported_by_staff_id number,
date_problem_reported time,
date_problem_closed time,
problem_description text,
other_problem_details text
)
CREATE TABLE problem_category_codes (
problem_category_code text,
problem_category_description text
)
CREATE TABLE product (
product_id number,
product_name text,
product_details text
)
CREATE TABLE problem_log (
problem_log_id number,
assigned_to_staff_id number,
problem_id number,
problem_category_code text,
problem_status_code text,
log_entry_date time,
log_entry_description text,
log_entry_fix text,
other_log_details text
) | Which problems were reported by the staff named Dameon Frami or Jolie Weber? Give me the ids of the problems. | SELECT product_id FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE T2.staff_first_name = "Dameon" AND T2.staff_last_name = "Frami" UNION SELECT product_id FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE T2.staff_first_name = "Jolie" AND T2.staff_last_name = "Weber" | spider |
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
) | what number of patients with elective admission type had procedure title (aorto)coronary bypass of three coronary arteries? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_type = "ELECTIVE" AND procedures.long_title = "(Aorto)coronary bypass of three coronary arteries" | mimicsql_data |
CREATE TABLE table_33081 (
"sliding tackle" text,
"spear tackle" text,
"dump tackle" text,
"body tackle" text,
"ankle tap" text,
"diving tackle" text,
"bumping/blocking" text,
"shoulder charge" text,
"steal/intercept ball" text,
"Chicken wing" text
) | Which steal/intercept ball has no for both the sliding tackle and dump tackle? | SELECT "steal/intercept ball" FROM table_33081 WHERE "sliding tackle" = 'no' AND "dump tackle" = 'no' | wikisql |
CREATE TABLE wrestler (
wrestler_id number,
name text,
reign text,
days_held text,
location text,
event text
)
CREATE TABLE elimination (
elimination_id text,
wrestler_id text,
team text,
eliminated_by text,
elimination_move text,
time text
) | List the time of elimination of the wrestlers with largest days held. | SELECT T1.time FROM elimination AS T1 JOIN wrestler AS T2 ON T1.wrestler_id = T2.wrestler_id ORDER BY T2.days_held DESC LIMIT 1 | spider |
CREATE TABLE table_27539272_5 (
points INTEGER
) | what is the maximum number of points? | SELECT MAX(points) FROM table_27539272_5 | sql_create_context |
CREATE TABLE table_30265 (
"Pick #" real,
"CFL Team" text,
"Player" text,
"Position" text,
"College" text
) | What position was the player who was drafted by Edmonton? | SELECT "Position" FROM table_30265 WHERE "CFL Team" = 'Edmonton' | wikisql |
CREATE TABLE table_57805 (
"Annual ridership (2012)" real,
"Rider. per mile" real,
"Opened" real,
"Stations" real,
"Lines" real
) | Which station has 3,871 riders per mile, and an annual ridership in 2012 of larger than 15,399,400? | SELECT MAX("Stations") FROM table_57805 WHERE "Rider. per mile" = '3,871' AND "Annual ridership (2012)" > '15,399,400' | wikisql |
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
) | Calculate the minimum age of patients admitted to emergency who died before 2154? | SELECT MIN(demographic.age) FROM demographic WHERE demographic.admission_type = "EMERGENCY" AND demographic.dod_year < "2154.0" | mimicsql_data |
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
) | what is the organism that was detected in patient 031-23724's first blood, venipuncture microbiology test in 08/2104? | SELECT microlab.organism FROM microlab WHERE microlab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '031-23724')) AND microlab.culturesite = 'blood, venipuncture' AND STRFTIME('%y-%m', microlab.culturetakentime) = '2104-08' ORDER BY microlab.culturetakentime LIMIT 1 | eicu |
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
)
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
) | what is procedure icd9 code and drug type of subject id 18480? | SELECT procedures.icd9_code, prescriptions.drug_type FROM procedures INNER JOIN prescriptions ON procedures.hadm_id = prescriptions.hadm_id WHERE procedures.subject_id = "18480" | mimicsql_data |
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE 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 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 vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
) | how many patients was diagnosed with change in mental status during the same hospital visit after being diagnosed with hematological effect of infection - leukocytosis in this year? | SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, diagnosis.diagnosistime, patient.patienthealthsystemstayid FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'change in mental status' AND DATETIME(diagnosis.diagnosistime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')) AS t1 JOIN (SELECT patient.uniquepid, diagnosis.diagnosistime, patient.patienthealthsystemstayid FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'hematological effect of infection - leukocytosis' AND DATETIME(diagnosis.diagnosistime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')) AS t2 WHERE t1.diagnosistime < t2.diagnosistime AND t1.patienthealthsystemstayid = t2.patienthealthsystemstayid | eicu |
CREATE TABLE College (
cName varchar(20),
state varchar(2),
enr numeric(5,0)
)
CREATE TABLE Player (
pID numeric(5,0),
pName varchar(20),
yCard varchar(3),
HS numeric(5,0)
)
CREATE TABLE Tryout (
pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3)
) | How many students are enrolled in colleges that have student accepted during tryouts, and in which states are those colleges Show bar chart, and sort by the Y-axis in desc please. | SELECT state, enr FROM College AS T1 JOIN Tryout AS T2 ON T1.cName = T2.cName WHERE T2.decision = 'yes' ORDER BY enr DESC | nvbench |
CREATE TABLE table_name_74 (
away_team VARCHAR,
home_team VARCHAR
) | I want to see the away team the has a home team of richmond | SELECT away_team FROM table_name_74 WHERE home_team = "richmond" | sql_create_context |
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
) | For those employees who do not work in departments with managers that have ids between 100 and 200, give me the comparison about salary over the email , and display y-axis in ascending order. | SELECT EMAIL, SALARY FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY SALARY | nvbench |
CREATE TABLE table_name_72 (
water_park VARCHAR,
rank VARCHAR
) | what is the water park with the rank 20? | SELECT water_park FROM table_name_72 WHERE rank = 20 | sql_create_context |
CREATE TABLE table_63462 (
"Team" text,
"Location" text,
"County" text,
"Division" text,
"Home ground" text,
"Coach" text,
"Captain" text
) | Which team is located in Leicester? | SELECT "Team" FROM table_63462 WHERE "Location" = 'leicester' | wikisql |
CREATE TABLE table_8634 (
"Place" real,
"Star" text,
"Average" real,
"Best score" real,
"Worst score" real
) | WHAT IS THE HIGHEST PLACE AND BEST SCORE BIGGER THAN 10? | SELECT MAX("Place") FROM table_8634 WHERE "Best score" > '10' | wikisql |
CREATE TABLE table_14219514_2 (
home__2nd_leg_ VARCHAR,
home__1st_leg_ VARCHAR
) | When belgrano is the home (1st leg) what is the home (2nd leg)? | SELECT home__2nd_leg_ FROM table_14219514_2 WHERE home__1st_leg_ = "Belgrano" | sql_create_context |
CREATE TABLE table_23018775_3 (
lap_two VARCHAR,
name VARCHAR
) | How many lap two's did marco andretti do? | SELECT COUNT(lap_two) FROM table_23018775_3 WHERE name = "Marco Andretti" | sql_create_context |
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
) | when was the last hospital admission that patient 035-4428 was admitted to via the floor since 2 years ago? | SELECT patient.hospitaladmittime FROM patient WHERE patient.uniquepid = '035-4428' AND patient.hospitaladmitsource = 'floor' AND DATETIME(patient.hospitaladmittime) >= DATETIME(CURRENT_TIME(), '-2 year') ORDER BY patient.hospitaladmittime DESC LIMIT 1 | eicu |
CREATE TABLE table_54992 (
"Year" real,
"English title" text,
"Korean title" text,
"Romanization" text,
"Role" text,
"Director" text
) | What is the Romanization for my old sweetheart? | SELECT "Romanization" FROM table_54992 WHERE "English title" = 'my old sweetheart' | wikisql |
CREATE TABLE table_name_61 (
opponents_in_the_final VARCHAR,
surface VARCHAR,
tournament VARCHAR
) | What is Opponents In The Final, when Surface is 'Carpet', and when Tournament is 'Milan , Italy'? | SELECT opponents_in_the_final FROM table_name_61 WHERE surface = "carpet" AND tournament = "milan , italy" | 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_SAFE_PAY_ID text,
MED_TYPE number,
OLDC_FUND_PAY number,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_ADD_PAY number,
OVE_PAY number,
PERSON_ID text,
PER_ACC_PAY number,
PER_EXP number,
PER_SOL number,
RECEIVER_DEAL_ID text,
RECEIVER_OFFSET_ID text,
RECEIVER_REVOKE_ID text,
RECIPE_BILL_ID text,
REF_SLT_FLG number,
REIMBURS_FLG number,
SENDER_DEAL_ID text,
SENDER_OFFSET_ID text,
SENDER_REVOKE_ID text,
SPE_FUND_PAY number,
SUP_ADD_PAY number,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE t_kc22 (
AMOUNT number,
CHA_ITEM_LEV number,
DATA_ID text,
DIRE_TYPE number,
DOSE_FORM text,
DOSE_UNIT text,
EACH_DOSAGE text,
EXP_OCC_DATE time,
FLX_MED_ORG_ID text,
FXBZ number,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
MED_CLINIC_ID text,
MED_DIRE_CD text,
MED_DIRE_NM text,
MED_EXP_BILL_ID text,
MED_EXP_DET_ID text,
MED_INV_ITEM_TYPE text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_SELF_AMO number,
PRESCRIPTION_CODE text,
PRESCRIPTION_ID text,
QTY number,
RECIPE_BILL_ID text,
REF_STA_FLG number,
REIMBURS_TYPE number,
REMOTE_SETTLE_FLG text,
RER_SOL number,
SELF_PAY_AMO number,
SELF_PAY_PRO number,
SOC_SRT_DIRE_CD text,
SOC_SRT_DIRE_NM text,
SPEC text,
STA_DATE time,
STA_FLG number,
SYNC_TIME time,
TRADE_TYPE number,
UNIVALENT number,
UP_LIMIT_AMO number,
USE_FRE text,
VAL_UNIT text
)
CREATE TABLE t_kc21_t_kc24 (
MED_CLINIC_ID text,
MED_SAFE_PAY_ID number
)
CREATE TABLE t_kc21 (
CLINIC_ID text,
CLINIC_TYPE text,
COMP_ID text,
DATA_ID text,
DIFF_PLACE_FLG number,
FERTILITY_STS number,
FLX_MED_ORG_ID text,
HOSP_LEV number,
HOSP_STS number,
IDENTITY_CARD text,
INPT_AREA_BED text,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
IN_DIAG_DIS_CD text,
IN_DIAG_DIS_NM text,
IN_HOSP_DATE time,
IN_HOSP_DAYS number,
MAIN_COND_DES text,
MED_AMOUT number,
MED_CLINIC_ID text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
MED_SER_ORG_NO text,
MED_TYPE number,
OUT_DIAG_DIS_CD text,
OUT_DIAG_DIS_NM text,
OUT_DIAG_DOC_CD text,
OUT_DIAG_DOC_NM text,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
PERSON_AGE number,
PERSON_ID text,
PERSON_NM text,
PERSON_SEX number,
REIMBURSEMENT_FLG number,
REMOTE_SETTLE_FLG text,
SERVANT_FLG text,
SOC_SRT_CARD text,
SYNC_TIME time,
TRADE_TYPE number
) | 在01年11月20日到2018年6月28日内，病患戚文栋自费金额高于7007.75元的药品量一共有多少？ | SELECT COUNT(*) FROM t_kc21 JOIN t_kc22 ON t_kc21.MED_CLINIC_ID = t_kc22.MED_CLINIC_ID WHERE t_kc21.PERSON_NM = '戚文栋' AND t_kc22.STA_DATE BETWEEN '2001-11-20' AND '2018-06-28' AND t_kc22.SELF_PAY_AMO > 7007.75 | css |
CREATE TABLE Movie (
mID int,
title text,
year int,
director text
)
CREATE TABLE Rating (
rID int,
mID int,
stars int,
ratingDate date
)
CREATE TABLE Reviewer (
rID int,
name text
) | Show me a scatter plot of mid and mean stars for . | SELECT mID, AVG(stars) FROM Rating GROUP BY mID | nvbench |
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
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
) | how many patients have admitted before the year 2112 with 51026 as their item id? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2112" AND lab.itemid = "51026" | mimicsql_data |
CREATE TABLE table_19101 (
"Club" text,
"Played" text,
"Won" text,
"Drawn" text,
"Lost" text,
"Points for" text,
"Points against" text,
"Tries for" text,
"Tries against" text,
"Try bonus" text,
"Losing bonus" text,
"Points" text
) | How many points were made when the tries for was 83? | SELECT "Points" FROM table_19101 WHERE "Tries for" = '83' | wikisql |
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