RAQS-SQL
Collection
6 items • Updated
Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 478 new columns ({'2-15123149-2', '1-15652027-1', '2-15740666-6', '2-1636806-2', '2-13012165-2', '2-11772511-8', '1-11734041-2', '2-16832887-1', '1-17265535-6', '2-16198456-2', '2-16215078-1', '2-15715109-1', '2-14323142-16', '1-1449169-1', '2-18566436-1', '2-16079809-1', '2-14176339-3', '2-1750185-2', '2-17206737-3', '2-18951015-2', '2-1054502-1', '1-1682026-2', '2-14176339-2', 'course_teach', '2-1198472-1', '1-10733530-3', '1-20549371-3', 'student_transcripts_tracking', '2-14177667-3', '1-224672-2', '2-15525566-1', '2-15097334-5', '2-15715109-12', '2-18814912-4', '1-1449176-1', 'european_football_2', '1-1341604-11', '1-16381914-1', '1-11602885-1', '2-18802185-4', '2-12005739-2', '1-1342370-39', '1-1342233-5', '2-11241317-2', '2-18942405-11', 'california_schools', '1-254776-1', '2-17440650-2', '2-18395166-2', '1-22962745-12', '1-16729063-1', '1-13762472-4', '2-16792781-1', '2-18624773-3', '1-157826-1', '2-10721054-4', '2-14423756-3', '1-12547903-3', '2-15322952-2', '1-2523809-1', '1-14345690-4', '2-10538989-2', '2-17357560-1', '2-10581768-2', '1-28730873-2', '2-17304621-5', '1-16275828-4', '2-10780927-1', '1-1708050-1', '2-1543845-2', '2-11786147-5', '2-13071896-2', '1-24565004-15', '2-10882501-8', '1-2308381-2', '1-19753079-35', '1-10798421-1', '1-22496344-1', '2-16234974-1', '2-17577144-2', '1-2231241-1', '1-14342367-13', '2-18259953-4', '1-13833770-3', '1-16796625-1', '2-14415326-2', '2-10560886-3', '2-10600564-2', '2-10648431-3', 'superhero', '2-1780045-1', '2-1126723-3', '2-14010415-1',
...
17239112-7', '1-1342359-39', '2-12791809-1', '1-2840500-6', '1-1714685-1', '2-13986492-14', '1-1342359-5', '2-15715109-40', '1-14946657-3', '2-10777895-2', '1-2562572-11', '1-21907770-4', '1-1342249-5', 'student_club', '1-1211545-2', 'flight_2', '2-18632367-4', '1-2679061-6', '1-1014206-2', '2-17029703-3', '2-11565999-3', '1-2387790-2', '2-14509824-5', '2-1364210-1', '2-13554889-6', '2-16275828-7', '1-13677808-1', '1-1963459-2', 'debit_card_specializing', '1-14342592-8', 'thrombosis_prediction', '2-14687922-2', '1-225102-4', '2-17371250-13', '2-16271198-1', '2-14302613-17', '2-156618-3', '1-1341672-14', '2-14639905-3', '2-1137707-2', '2-15503252-3', '1-10712301-5', '1-140297-1', '2-14027795-2', '1-1342218-17', '2-17093870-5', '2-10325248-2', '2-11099297-12', '2-163231-4', '2-1014206-2', '1-28885977-1', '1-224837-4', '1-1506950-4', '2-11803648-12', '1-1341453-15', '2-14305653-31', '2-15362194-1', '2-11771022-3', '1-2076463-2', '2-1473124-1', '1-18183850-12', '2-13910113-4', '1-12094609-1', '2-15550233-3', '2-17034845-3', '2-18073616-2', '2-17524651-3', '1-11677691-1', '2-16785053-2', '2-12592245-1', '2-17387421-1', '2-18965848-4', 'financial', '1-1473672-8', '2-16250642-1', '2-13909437-6', '2-1028380-5', '1-1220125-4', '1-2668416-7', '2-10122032-1', '1-11609814-1', '1-1857216-1', '2-16772687-18', '2-1055707-1', '1-1341604-10', '2-11763491-1', '2-18579281-5', '2-18807607-2', '1-29202276-2', '1-1206583-2', '1-10601843-2', '1-20925393-3', '1-20823568-2', 'singer', '2-18982988-2'}) and 7 missing columns ({'schema_text_with_content', 'ori_query', 'question', 'evidence', 'db_id', 'schema_text_wo_content', 'amb_query'}).
This happened while the json dataset builder was generating data using
hf://datasets/griffith-bigdata/ambival/dbschema_test.json (at revision 352cc953aeef3d7c49ab2706e49dfbde0b792eb9)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
car_1: struct<continents: list<item: string>, countries: list<item: string>, car_makers: list<item: string>, model_list: list<item: string>, car_names: list<item: string>, cars_data: list<item: string>>
child 0, continents: list<item: string>
child 0, item: string
child 1, countries: list<item: string>
child 0, item: string
child 2, car_makers: list<item: string>
child 0, item: string
child 3, model_list: list<item: string>
child 0, item: string
child 4, car_names: list<item: string>
child 0, item: string
child 5, cars_data: list<item: string>
child 0, item: string
2-18868206-3: struct<2-18868206-3: list<item: string>>
child 0, 2-18868206-3: list<item: string>
child 0, item: string
2-17077948-1: struct<2-17077948-1: list<item: string>>
child 0, 2-17077948-1: list<item: string>
child 0, item: string
1-14850099-18: struct<1-14850099-18: list<item: string>>
child 0, 1-14850099-18: list<item: string>
child 0, item: string
1-1963459-2: struct<1-1963459-2: list<item: string>>
child 0, 1-1963459-2: list<item: string>
child 0, item: string
flight_2: struct<airlines: list<item: string>, airports: list<item: string>, flights: list<item: string>>
child 0, airlines: list<item: string>
child 0, item: string
child 1, airports: list<item: string>
child 0, item: string
child 2, flights: list<item: string>
child 0, item: string
cre_Doc_Template_Mgt: struct<ref_template_types: list<item: str
...
t<2-15313481-14: list<item: string>>
child 0, 2-15313481-14: list<item: string>
child 0, item: string
2-1332289-1: struct<2-1332289-1: list<item: string>>
child 0, 2-1332289-1: list<item: string>
child 0, item: string
1-12078626-1: struct<1-12078626-1: list<item: string>>
child 0, 1-12078626-1: list<item: string>
child 0, item: string
1-17822401-1: struct<1-17822401-1: list<item: string>>
child 0, 1-17822401-1: list<item: string>
child 0, item: string
1-22357065-1: struct<1-22357065-1: list<item: string>>
child 0, 1-22357065-1: list<item: string>
child 0, item: string
1-24302700-2: struct<1-24302700-2: list<item: string>>
child 0, 1-24302700-2: list<item: string>
child 0, item: string
1-2679061-6: struct<1-2679061-6: list<item: string>>
child 0, 1-2679061-6: list<item: string>
child 0, item: string
1-29483673-1: struct<1-29483673-1: list<item: string>>
child 0, 1-29483673-1: list<item: string>
child 0, item: string
2-13555999-1: struct<2-13555999-1: list<item: string>>
child 0, 2-13555999-1: list<item: string>
child 0, item: string
2-16181798-1: struct<2-16181798-1: list<item: string>>
child 0, 2-16181798-1: list<item: string>
child 0, item: string
2-16250642-1: struct<2-16250642-1: list<item: string>>
child 0, 2-16250642-1: list<item: string>
child 0, item: string
2-17577144-2: struct<2-17577144-2: list<item: string>>
child 0, 2-17577144-2: list<item: string>
child 0, item: string
to
{'db_id': Value('string'), 'question': Value('string'), 'evidence': Value('string'), 'schema_text_wo_content': Value('string'), 'schema_text_with_content': Value('string'), 'ori_query': Value('string'), 'amb_query': Value('string')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1451, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 994, in stream_convert_to_parquet
builder._prepare_split(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1833, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 478 new columns ({'2-15123149-2', '1-15652027-1', '2-15740666-6', '2-1636806-2', '2-13012165-2', '2-11772511-8', '1-11734041-2', '2-16832887-1', '1-17265535-6', '2-16198456-2', '2-16215078-1', '2-15715109-1', '2-14323142-16', '1-1449169-1', '2-18566436-1', '2-16079809-1', '2-14176339-3', '2-1750185-2', '2-17206737-3', '2-18951015-2', '2-1054502-1', '1-1682026-2', '2-14176339-2', 'course_teach', '2-1198472-1', '1-10733530-3', '1-20549371-3', 'student_transcripts_tracking', '2-14177667-3', '1-224672-2', '2-15525566-1', '2-15097334-5', '2-15715109-12', '2-18814912-4', '1-1449176-1', 'european_football_2', '1-1341604-11', '1-16381914-1', '1-11602885-1', '2-18802185-4', '2-12005739-2', '1-1342370-39', '1-1342233-5', '2-11241317-2', '2-18942405-11', 'california_schools', '1-254776-1', '2-17440650-2', '2-18395166-2', '1-22962745-12', '1-16729063-1', '1-13762472-4', '2-16792781-1', '2-18624773-3', '1-157826-1', '2-10721054-4', '2-14423756-3', '1-12547903-3', '2-15322952-2', '1-2523809-1', '1-14345690-4', '2-10538989-2', '2-17357560-1', '2-10581768-2', '1-28730873-2', '2-17304621-5', '1-16275828-4', '2-10780927-1', '1-1708050-1', '2-1543845-2', '2-11786147-5', '2-13071896-2', '1-24565004-15', '2-10882501-8', '1-2308381-2', '1-19753079-35', '1-10798421-1', '1-22496344-1', '2-16234974-1', '2-17577144-2', '1-2231241-1', '1-14342367-13', '2-18259953-4', '1-13833770-3', '1-16796625-1', '2-14415326-2', '2-10560886-3', '2-10600564-2', '2-10648431-3', 'superhero', '2-1780045-1', '2-1126723-3', '2-14010415-1',
...
17239112-7', '1-1342359-39', '2-12791809-1', '1-2840500-6', '1-1714685-1', '2-13986492-14', '1-1342359-5', '2-15715109-40', '1-14946657-3', '2-10777895-2', '1-2562572-11', '1-21907770-4', '1-1342249-5', 'student_club', '1-1211545-2', 'flight_2', '2-18632367-4', '1-2679061-6', '1-1014206-2', '2-17029703-3', '2-11565999-3', '1-2387790-2', '2-14509824-5', '2-1364210-1', '2-13554889-6', '2-16275828-7', '1-13677808-1', '1-1963459-2', 'debit_card_specializing', '1-14342592-8', 'thrombosis_prediction', '2-14687922-2', '1-225102-4', '2-17371250-13', '2-16271198-1', '2-14302613-17', '2-156618-3', '1-1341672-14', '2-14639905-3', '2-1137707-2', '2-15503252-3', '1-10712301-5', '1-140297-1', '2-14027795-2', '1-1342218-17', '2-17093870-5', '2-10325248-2', '2-11099297-12', '2-163231-4', '2-1014206-2', '1-28885977-1', '1-224837-4', '1-1506950-4', '2-11803648-12', '1-1341453-15', '2-14305653-31', '2-15362194-1', '2-11771022-3', '1-2076463-2', '2-1473124-1', '1-18183850-12', '2-13910113-4', '1-12094609-1', '2-15550233-3', '2-17034845-3', '2-18073616-2', '2-17524651-3', '1-11677691-1', '2-16785053-2', '2-12592245-1', '2-17387421-1', '2-18965848-4', 'financial', '1-1473672-8', '2-16250642-1', '2-13909437-6', '2-1028380-5', '1-1220125-4', '1-2668416-7', '2-10122032-1', '1-11609814-1', '1-1857216-1', '2-16772687-18', '2-1055707-1', '1-1341604-10', '2-11763491-1', '2-18579281-5', '2-18807607-2', '1-29202276-2', '1-1206583-2', '1-10601843-2', '1-20925393-3', '1-20823568-2', 'singer', '2-18982988-2'}) and 7 missing columns ({'schema_text_with_content', 'ori_query', 'question', 'evidence', 'db_id', 'schema_text_wo_content', 'amb_query'}).
This happened while the json dataset builder was generating data using
hf://datasets/griffith-bigdata/ambival/dbschema_test.json (at revision 352cc953aeef3d7c49ab2706e49dfbde0b792eb9)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
db_id string | question string | evidence string | schema_text_wo_content string | schema_text_with_content string | ori_query string | amb_query string |
|---|---|---|---|---|---|---|
department_management | What are the names of the heads who are born outside the California state? |
Table department, columns = [`department_id` (department id), `name` (name), `creation` (creation), `ranking` (ranking), `budget_in_billions` (budget in billions), `num_employees` (num employees)]
Table head, columns = [`head_id` (head id), `name` (name), `born_state` (born state), `age` (age)]
Table management, colum... |
Table department, columns = [`department_id` (department id. Example values: [1, 2, 3]), `name` (name. Example values: [State, Treasury, Defense]), `creation` (creation. Example values: [1789, 1947, 1870]), `ranking` (ranking. Example values: [1, 2, 3]), `budget_in_billions` (budget in billions. Example values: [9.96,... | SELECT name FROM head WHERE born_state != 'California' | SELECT name FROM head WHERE NOT born_state IN ('California', 'Golden State') | |
department_management | What are the distinct creation years of the departments managed by a secretary born in state 'Alabama'? |
Table department, columns = [`department_id` (department id), `name` (name), `creation` (creation), `ranking` (ranking), `budget_in_billions` (budget in billions), `num_employees` (num employees)]
Table head, columns = [`head_id` (head id), `name` (name), `born_state` (born state), `age` (age)]
Table management, colum... |
Table department, columns = [`department_id` (department id. Example values: [1, 2, 3]), `name` (name. Example values: [State, Treasury, Defense]), `creation` (creation. Example values: [1789, 1947, 1870]), `ranking` (ranking. Example values: [1, 2, 3]), `budget_in_billions` (budget in billions. Example values: [9.96,... | SELECT DISTINCT T1.creation FROM department AS T1 JOIN management AS T2 ON T1.department_id = T2.department_id JOIN head AS T3 ON T2.head_id = T3.head_id WHERE T3.born_state = 'Alabama' | SELECT DISTINCT T1.creation FROM department AS T1 JOIN management AS T2 ON T1.department_id = T2.department_id JOIN head AS T3 ON T2.head_id = T3.head_id WHERE T3.born_state = 'Alabama' | |
department_management | Show the name and number of employees for the departments managed by heads whose temporary acting value is 'Yes'? |
Table department, columns = [`department_id` (department id), `name` (name), `creation` (creation), `ranking` (ranking), `budget_in_billions` (budget in billions), `num_employees` (num employees)]
Table head, columns = [`head_id` (head id), `name` (name), `born_state` (born state), `age` (age)]
Table management, colum... |
Table department, columns = [`department_id` (department id. Example values: [1, 2, 3]), `name` (name. Example values: [State, Treasury, Defense]), `creation` (creation. Example values: [1789, 1947, 1870]), `ranking` (ranking. Example values: [1, 2, 3]), `budget_in_billions` (budget in billions. Example values: [9.96,... | SELECT T1.name , T1.num_employees FROM department AS T1 JOIN management AS T2 ON T1.department_id = T2.department_id WHERE T2.temporary_acting = 'Yes' | SELECT T1.name, T1.num_employees FROM department AS T1 JOIN management AS T2 ON T1.department_id = T2.department_id WHERE T2.temporary_acting IN ('Yes', 'Affirmative') | |
shipping | Among all the shipments to Maryland, what is the percentage of the shipment to Davis? | "Florida" is the state; "Jacksonville" is city_name; |
Table city, columns = [`city_id` (city id), `city_name` (city name), `state` (state), `population` (population), `area` (area)]
Table customer, columns = [`cust_id` (customer id), `cust_name` (customer name), `annual_revenue` (annual revenue), `cust_type` (customer type), `address` (address), `city` (city), `state` (s... |
Table city, columns = [`city_id` (city id. Example values: [100, 101, 102]), `city_name` (city name. Example values: [Union City, Huntington Park, Passaic]), `state` (state. Example values: [State of New Jersey, California, New Jersey, USA]), `population` (population. Example values: [67088, 61348, 67861]), `area` (ar... | SELECT CAST(SUM(CASE WHEN T2.city_name = 'Davis' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id WHERE T2.state = 'Maryland' | SELECT CAST(SUM(CASE WHEN T2.city_name IN ('City of Davis', 'Davis') THEN 1 ELSE 0 END) AS FLOAT) * 100 / COUNT(*) FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id WHERE T2.state IN ('Maryland state', 'Maryland, USA', 'Maryland') |
shipping | Among all the shipments to Kentucky, what is the percentage of the shipment to Gardena? | "Florida" is the state; "Jacksonville" is city_name; |
Table city, columns = [`city_id` (city id), `city_name` (city name), `state` (state), `population` (population), `area` (area)]
Table customer, columns = [`cust_id` (customer id), `cust_name` (customer name), `annual_revenue` (annual revenue), `cust_type` (customer type), `address` (address), `city` (city), `state` (s... |
Table city, columns = [`city_id` (city id. Example values: [100, 101, 102]), `city_name` (city name. Example values: [Union City, Huntington Park, Passaic]), `state` (state. Example values: [State of New Jersey, California, New Jersey, USA]), `population` (population. Example values: [67088, 61348, 67861]), `area` (ar... | SELECT CAST(SUM(CASE WHEN T2.city_name = 'Gardena' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id WHERE T2.state = 'Kentucky' | SELECT CAST(SUM(CASE WHEN T2.city_name = 'Gardena' THEN 1 ELSE 0 END) AS FLOAT) * 100 / COUNT(*) FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id WHERE T2.state = 'Kentucky' |
shipping | Among the shipments shipped to Bristol, DC, how many shipments weighed between 9,000 to 15,000? | "Cicero" is the city; 'Illinois' is the state |
Table city, columns = [`city_id` (city id), `city_name` (city name), `state` (state), `population` (population), `area` (area)]
Table customer, columns = [`cust_id` (customer id), `cust_name` (customer name), `annual_revenue` (annual revenue), `cust_type` (customer type), `address` (address), `city` (city), `state` (s... |
Table city, columns = [`city_id` (city id. Example values: [100, 101, 102]), `city_name` (city name. Example values: [Union City, Huntington Park, Passaic]), `state` (state. Example values: [State of New Jersey, California, New Jersey, USA]), `population` (population. Example values: [67088, 61348, 67861]), `area` (ar... | SELECT COUNT(*) FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id WHERE T2.city_name = 'Bristol' AND T2.state = 'DC' AND T1.weight BETWEEN 9000 AND 15000 | SELECT COUNT(*) FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id WHERE T2.city_name IN ('Bristol', 'Bristol city') AND T2.state = 'DC' AND T1.weight BETWEEN 9000 AND 15000 |
shipping | How many cities are in South Carolina? | "Connecticut" is the state |
Table city, columns = [`city_id` (city id), `city_name` (city name), `state` (state), `population` (population), `area` (area)]
Table customer, columns = [`cust_id` (customer id), `cust_name` (customer name), `annual_revenue` (annual revenue), `cust_type` (customer type), `address` (address), `city` (city), `state` (s... |
Table city, columns = [`city_id` (city id. Example values: [100, 101, 102]), `city_name` (city name. Example values: [Union City, Huntington Park, Passaic]), `state` (state. Example values: [State of New Jersey, California, New Jersey, USA]), `population` (population. Example values: [67088, 61348, 67861]), `area` (ar... | SELECT COUNT(*) FROM city WHERE state = 'South Carolina' | SELECT COUNT(*) FROM city WHERE state = 'South Carolina' |
shipping | How many cities are in Wisconsin? | "Connecticut" is the state |
Table city, columns = [`city_id` (city id), `city_name` (city name), `state` (state), `population` (population), `area` (area)]
Table customer, columns = [`cust_id` (customer id), `cust_name` (customer name), `annual_revenue` (annual revenue), `cust_type` (customer type), `address` (address), `city` (city), `state` (s... |
Table city, columns = [`city_id` (city id. Example values: [100, 101, 102]), `city_name` (city name. Example values: [Union City, Huntington Park, Passaic]), `state` (state. Example values: [State of New Jersey, California, New Jersey, USA]), `population` (population. Example values: [67088, 61348, 67861]), `area` (ar... | SELECT COUNT(*) FROM city WHERE state = 'Wisconsin' | SELECT COUNT(*) FROM city WHERE state IN ('State of Wisconsin', 'Wisconsin') |
shipping | How many cities are in Idaho? | "Connecticut" is the state |
Table city, columns = [`city_id` (city id), `city_name` (city name), `state` (state), `population` (population), `area` (area)]
Table customer, columns = [`cust_id` (customer id), `cust_name` (customer name), `annual_revenue` (annual revenue), `cust_type` (customer type), `address` (address), `city` (city), `state` (s... |
Table city, columns = [`city_id` (city id. Example values: [100, 101, 102]), `city_name` (city name. Example values: [Union City, Huntington Park, Passaic]), `state` (state. Example values: [State of New Jersey, California, New Jersey, USA]), `population` (population. Example values: [67088, 61348, 67861]), `area` (ar... | SELECT COUNT(*) FROM city WHERE state = 'Idaho' | SELECT COUNT(*) FROM city WHERE state IN ('Idaho', 'Idaho state') |
shipping | What is the most populated city in Michigan? | in California refers to state = 'CA'; most populated city refers to Max(population) |
Table city, columns = [`city_id` (city id), `city_name` (city name), `state` (state), `population` (population), `area` (area)]
Table customer, columns = [`cust_id` (customer id), `cust_name` (customer name), `annual_revenue` (annual revenue), `cust_type` (customer type), `address` (address), `city` (city), `state` (s... |
Table city, columns = [`city_id` (city id. Example values: [100, 101, 102]), `city_name` (city name. Example values: [Union City, Huntington Park, Passaic]), `state` (state. Example values: [State of New Jersey, California, New Jersey, USA]), `population` (population. Example values: [67088, 61348, 67861]), `area` (ar... | SELECT city_name FROM city WHERE state = 'Michigan' AND population = ( SELECT MAX(population) FROM city WHERE state = 'Michigan' ) | SELECT city_name FROM city WHERE state IN ('MI, USA', 'State of Michigan', 'Michigan state', 'Michigan region', 'Michigan') AND population = (SELECT MAX(population) FROM city WHERE state IN ('MI, USA', 'State of Michigan', 'Michigan state', 'Michigan region', 'Michigan')) |
shipping | What is the most populated city in Louisiana? | in California refers to state = 'CA'; most populated city refers to Max(population) |
Table city, columns = [`city_id` (city id), `city_name` (city name), `state` (state), `population` (population), `area` (area)]
Table customer, columns = [`cust_id` (customer id), `cust_name` (customer name), `annual_revenue` (annual revenue), `cust_type` (customer type), `address` (address), `city` (city), `state` (s... |
Table city, columns = [`city_id` (city id. Example values: [100, 101, 102]), `city_name` (city name. Example values: [Union City, Huntington Park, Passaic]), `state` (state. Example values: [State of New Jersey, California, New Jersey, USA]), `population` (population. Example values: [67088, 61348, 67861]), `area` (ar... | SELECT city_name FROM city WHERE state = 'Louisiana' AND population = ( SELECT MAX(population) FROM city WHERE state = 'Louisiana' ) | SELECT city_name FROM city WHERE state IN ('Louisiana', 'Louisiana state') AND population = (SELECT MAX(population) FROM city WHERE state IN ('Louisiana', 'Louisiana state')) |
shipping | How many shipments were shipped to the least populated city in Missouri? | "California" is the state; least populated city refers to Min(population) |
Table city, columns = [`city_id` (city id), `city_name` (city name), `state` (state), `population` (population), `area` (area)]
Table customer, columns = [`cust_id` (customer id), `cust_name` (customer name), `annual_revenue` (annual revenue), `cust_type` (customer type), `address` (address), `city` (city), `state` (s... |
Table city, columns = [`city_id` (city id. Example values: [100, 101, 102]), `city_name` (city name. Example values: [Union City, Huntington Park, Passaic]), `state` (state. Example values: [State of New Jersey, California, New Jersey, USA]), `population` (population. Example values: [67088, 61348, 67861]), `area` (ar... | SELECT COUNT(T3.city_name) FROM customer AS T1 INNER JOIN shipment AS T2 ON T1.cust_id = T2.cust_id INNER JOIN city AS T3 ON T3.city_id = T2.city_id WHERE T3.state = 'Missouri' ORDER BY T3.population ASC LIMIT 1 | SELECT COUNT(T3.city_name) FROM customer AS T1 INNER JOIN shipment AS T2 ON T1.cust_id = T2.cust_id INNER JOIN city AS T3 ON T3.city_id = T2.city_id WHERE T3.state IN ('Missouri', 'Missouri state', 'Missouri region') ORDER BY T3.population ASC LIMIT 1 |
shipping | How many shipments were shipped to the least populated city in North Dakota? | "California" is the state; least populated city refers to Min(population) |
Table city, columns = [`city_id` (city id), `city_name` (city name), `state` (state), `population` (population), `area` (area)]
Table customer, columns = [`cust_id` (customer id), `cust_name` (customer name), `annual_revenue` (annual revenue), `cust_type` (customer type), `address` (address), `city` (city), `state` (s... |
Table city, columns = [`city_id` (city id. Example values: [100, 101, 102]), `city_name` (city name. Example values: [Union City, Huntington Park, Passaic]), `state` (state. Example values: [State of New Jersey, California, New Jersey, USA]), `population` (population. Example values: [67088, 61348, 67861]), `area` (ar... | SELECT COUNT(T3.city_name) FROM customer AS T1 INNER JOIN shipment AS T2 ON T1.cust_id = T2.cust_id INNER JOIN city AS T3 ON T3.city_id = T2.city_id WHERE T3.state = 'North Dakota' ORDER BY T3.population ASC LIMIT 1 | SELECT COUNT(T3.city_name) FROM customer AS T1 INNER JOIN shipment AS T2 ON T1.cust_id = T2.cust_id INNER JOIN city AS T3 ON T3.city_id = T2.city_id WHERE T3.state IN ('North Dakota state', 'North Dakota') ORDER BY T3.population ASC LIMIT 1 |
shipping | Among the shipments in 2017, how many of them have the destination in Indiana? | in 2017 refers to Cast(ship_date AS DATE) = 2017; 'New Jersey' is the state |
Table city, columns = [`city_id` (city id), `city_name` (city name), `state` (state), `population` (population), `area` (area)]
Table customer, columns = [`cust_id` (customer id), `cust_name` (customer name), `annual_revenue` (annual revenue), `cust_type` (customer type), `address` (address), `city` (city), `state` (s... |
Table city, columns = [`city_id` (city id. Example values: [100, 101, 102]), `city_name` (city name. Example values: [Union City, Huntington Park, Passaic]), `state` (state. Example values: [State of New Jersey, California, New Jersey, USA]), `population` (population. Example values: [67088, 61348, 67861]), `area` (ar... | SELECT COUNT(*) FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id WHERE STRFTIME('%Y', T1.ship_date) = '2017' AND T2.state = 'Indiana' | SELECT COUNT(*) FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id WHERE STRFTIME('%Y', T1.ship_date) = '2017' AND T2.state IN ('Indiana', 'Indiana territory') |
shipping | Among the shipments in 2017, how many of them have the destination in Nebraska? | in 2017 refers to Cast(ship_date AS DATE) = 2017; 'New Jersey' is the state |
Table city, columns = [`city_id` (city id), `city_name` (city name), `state` (state), `population` (population), `area` (area)]
Table customer, columns = [`cust_id` (customer id), `cust_name` (customer name), `annual_revenue` (annual revenue), `cust_type` (customer type), `address` (address), `city` (city), `state` (s... |
Table city, columns = [`city_id` (city id. Example values: [100, 101, 102]), `city_name` (city name. Example values: [Union City, Huntington Park, Passaic]), `state` (state. Example values: [State of New Jersey, California, New Jersey, USA]), `population` (population. Example values: [67088, 61348, 67861]), `area` (ar... | SELECT COUNT(*) FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id WHERE STRFTIME('%Y', T1.ship_date) = '2017' AND T2.state = 'Nebraska' | SELECT COUNT(*) FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id WHERE STRFTIME('%Y', T1.ship_date) = '2017' AND T2.state = 'Nebraska' |
shipping | How many cities which belong to Ohio have transported weight greater than 20000? | "New Jersey" is the state; transported weight greater than 20000 refers to Sum(weight) > 20000 |
Table city, columns = [`city_id` (city id), `city_name` (city name), `state` (state), `population` (population), `area` (area)]
Table customer, columns = [`cust_id` (customer id), `cust_name` (customer name), `annual_revenue` (annual revenue), `cust_type` (customer type), `address` (address), `city` (city), `state` (s... |
Table city, columns = [`city_id` (city id. Example values: [100, 101, 102]), `city_name` (city name. Example values: [Union City, Huntington Park, Passaic]), `state` (state. Example values: [State of New Jersey, California, New Jersey, USA]), `population` (population. Example values: [67088, 61348, 67861]), `area` (ar... | SELECT COUNT(*) FROM ( SELECT T2.city_id AS CITYID FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id WHERE T2.state = 'Ohio' GROUP BY T2.city_id HAVING SUM(T1.weight) > 20000 ) | SELECT COUNT(*) FROM (SELECT T2.city_id AS CITYID FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id WHERE T2.state = 'Ohio' GROUP BY T2.city_id HAVING SUM(T1.weight) > 20000) |
shipping | How many cities which belong to Oregon have transported weight greater than 20000? | "New Jersey" is the state; transported weight greater than 20000 refers to Sum(weight) > 20000 |
Table city, columns = [`city_id` (city id), `city_name` (city name), `state` (state), `population` (population), `area` (area)]
Table customer, columns = [`cust_id` (customer id), `cust_name` (customer name), `annual_revenue` (annual revenue), `cust_type` (customer type), `address` (address), `city` (city), `state` (s... |
Table city, columns = [`city_id` (city id. Example values: [100, 101, 102]), `city_name` (city name. Example values: [Union City, Huntington Park, Passaic]), `state` (state. Example values: [State of New Jersey, California, New Jersey, USA]), `population` (population. Example values: [67088, 61348, 67861]), `area` (ar... | SELECT COUNT(*) FROM ( SELECT T2.city_id AS CITYID FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id WHERE T2.state = 'Oregon' GROUP BY T2.city_id HAVING SUM(T1.weight) > 20000 ) | SELECT COUNT(*) FROM (SELECT T2.city_id AS CITYID FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id WHERE T2.state IN ('Oregon state', 'US-OR state', 'Oregon, USA', 'Oregon') GROUP BY T2.city_id HAVING SUM(T1.weight) > 20000) |
shipping | How many cities are in Connecticut? | "Connecticut" is the state |
Table city, columns = [`city_id` (city id), `city_name` (city name), `state` (state), `population` (population), `area` (area)]
Table customer, columns = [`cust_id` (customer id), `cust_name` (customer name), `annual_revenue` (annual revenue), `cust_type` (customer type), `address` (address), `city` (city), `state` (s... |
Table city, columns = [`city_id` (city id. Example values: [100, 101, 102]), `city_name` (city name. Example values: [Union City, Huntington Park, Passaic]), `state` (state. Example values: [State of New Jersey, California, New Jersey, USA]), `population` (population. Example values: [67088, 61348, 67861]), `area` (ar... | SELECT COUNT(*) FROM city WHERE state = 'Connecticut' | SELECT COUNT(*) FROM city WHERE state IN ('Connecticut', 'Connecticut, USA') |
shipping | Among all the shipments to Florida, what is the percentage of the shipment to Jacksonville? | "Florida" is the state; "Jacksonville" is city_name; |
Table city, columns = [`city_id` (city id), `city_name` (city name), `state` (state), `population` (population), `area` (area)]
Table customer, columns = [`cust_id` (customer id), `cust_name` (customer name), `annual_revenue` (annual revenue), `cust_type` (customer type), `address` (address), `city` (city), `state` (s... |
Table city, columns = [`city_id` (city id. Example values: [100, 101, 102]), `city_name` (city name. Example values: [Union City, Huntington Park, Passaic]), `state` (state. Example values: [State of New Jersey, California, New Jersey, USA]), `population` (population. Example values: [67088, 61348, 67861]), `area` (ar... | SELECT CAST(SUM(CASE WHEN T2.city_name = 'Jacksonville' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id WHERE T2.state = 'Florida' | SELECT CAST(SUM(CASE WHEN T2.city_name = 'Jacksonville' THEN 1 ELSE 0 END) AS FLOAT) * 100 / COUNT(*) FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id WHERE T2.state IN ('State of Florida', 'Florida', 'Florida, USA', 'FL state') |
shipping | Among the shipments shipped to Cicero, Illinois, how many shipments weighed between 9,000 to 15,000? | "Cicero" is the city; 'Illinois' is the state |
Table city, columns = [`city_id` (city id), `city_name` (city name), `state` (state), `population` (population), `area` (area)]
Table customer, columns = [`cust_id` (customer id), `cust_name` (customer name), `annual_revenue` (annual revenue), `cust_type` (customer type), `address` (address), `city` (city), `state` (s... |
Table city, columns = [`city_id` (city id. Example values: [100, 101, 102]), `city_name` (city name. Example values: [Union City, Huntington Park, Passaic]), `state` (state. Example values: [State of New Jersey, California, New Jersey, USA]), `population` (population. Example values: [67088, 61348, 67861]), `area` (ar... | SELECT COUNT(*) FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id WHERE T2.city_name = 'Cicero' AND T2.state = 'Illinois' AND T1.weight BETWEEN 9000 AND 15000 | SELECT COUNT(*) FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id WHERE T2.city_name = 'Cicero' AND T2.state = 'Illinois' AND T1.weight BETWEEN 9000 AND 15000 |
shipping | What is the most populated city in California? | in California refers to state = 'CA'; most populated city refers to Max(population) |
Table city, columns = [`city_id` (city id), `city_name` (city name), `state` (state), `population` (population), `area` (area)]
Table customer, columns = [`cust_id` (customer id), `cust_name` (customer name), `annual_revenue` (annual revenue), `cust_type` (customer type), `address` (address), `city` (city), `state` (s... |
Table city, columns = [`city_id` (city id. Example values: [100, 101, 102]), `city_name` (city name. Example values: [Union City, Huntington Park, Passaic]), `state` (state. Example values: [State of New Jersey, California, New Jersey, USA]), `population` (population. Example values: [67088, 61348, 67861]), `area` (ar... | SELECT city_name FROM city WHERE state = 'California' AND population = ( SELECT MAX(population) FROM city WHERE state = 'California' ) | SELECT city_name FROM city WHERE state = 'California' AND population = (SELECT MAX(population) FROM city WHERE state = 'California') |
shipping | How many shipments were shipped to the least populated city in California? | "California" is the state; least populated city refers to Min(population) |
Table city, columns = [`city_id` (city id), `city_name` (city name), `state` (state), `population` (population), `area` (area)]
Table customer, columns = [`cust_id` (customer id), `cust_name` (customer name), `annual_revenue` (annual revenue), `cust_type` (customer type), `address` (address), `city` (city), `state` (s... |
Table city, columns = [`city_id` (city id. Example values: [100, 101, 102]), `city_name` (city name. Example values: [Union City, Huntington Park, Passaic]), `state` (state. Example values: [State of New Jersey, California, New Jersey, USA]), `population` (population. Example values: [67088, 61348, 67861]), `area` (ar... | SELECT COUNT(T3.city_name) FROM customer AS T1 INNER JOIN shipment AS T2 ON T1.cust_id = T2.cust_id INNER JOIN city AS T3 ON T3.city_id = T2.city_id WHERE T3.state = 'California' ORDER BY T3.population ASC LIMIT 1 | SELECT COUNT(T3.city_name) FROM customer AS T1 INNER JOIN shipment AS T2 ON T1.cust_id = T2.cust_id INNER JOIN city AS T3 ON T3.city_id = T2.city_id WHERE T3.state = 'California' ORDER BY T3.population ASC LIMIT 1 |
shipping | Among the shipments in 2017, how many of them have the destination in New Jersey? | in 2017 refers to Cast(ship_date AS DATE) = 2017; 'New Jersey' is the state |
Table city, columns = [`city_id` (city id), `city_name` (city name), `state` (state), `population` (population), `area` (area)]
Table customer, columns = [`cust_id` (customer id), `cust_name` (customer name), `annual_revenue` (annual revenue), `cust_type` (customer type), `address` (address), `city` (city), `state` (s... |
Table city, columns = [`city_id` (city id. Example values: [100, 101, 102]), `city_name` (city name. Example values: [Union City, Huntington Park, Passaic]), `state` (state. Example values: [State of New Jersey, California, New Jersey, USA]), `population` (population. Example values: [67088, 61348, 67861]), `area` (ar... | SELECT COUNT(*) FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id WHERE STRFTIME('%Y', T1.ship_date) = '2017' AND T2.state = 'New Jersey' | SELECT COUNT(*) FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id WHERE STRFTIME('%Y', T1.ship_date) = '2017' AND T2.state IN ('New Jersey, USA', 'State of New Jersey', 'New Jersey') |
shipping | How many cities which belong to New Jersey have transported weight greater than 20000? | "New Jersey" is the state; transported weight greater than 20000 refers to Sum(weight) > 20000 |
Table city, columns = [`city_id` (city id), `city_name` (city name), `state` (state), `population` (population), `area` (area)]
Table customer, columns = [`cust_id` (customer id), `cust_name` (customer name), `annual_revenue` (annual revenue), `cust_type` (customer type), `address` (address), `city` (city), `state` (s... |
Table city, columns = [`city_id` (city id. Example values: [100, 101, 102]), `city_name` (city name. Example values: [Union City, Huntington Park, Passaic]), `state` (state. Example values: [State of New Jersey, California, New Jersey, USA]), `population` (population. Example values: [67088, 61348, 67861]), `area` (ar... | SELECT COUNT(*) FROM ( SELECT T2.city_id AS CITYID FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id WHERE T2.state = 'New Jersey' GROUP BY T2.city_id HAVING SUM(T1.weight) > 20000 ) | SELECT COUNT(*) FROM (SELECT T2.city_id AS CITYID FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id WHERE T2.state IN ('New Jersey, USA', 'State of New Jersey', 'New Jersey') GROUP BY T2.city_id HAVING SUM(T1.weight) > 20000) |
shipping | Among the shipments for Laguna Niguel, how many shipments were shipped to California in 2016? | "Downey" is the city_name; 'California' is the state, whose abbreviation is CA; in 2016 refers to year(ship_date) = 2016, |
Table city, columns = [`city_id` (city id), `city_name` (city name), `state` (state), `population` (population), `area` (area)]
Table customer, columns = [`cust_id` (customer id), `cust_name` (customer name), `annual_revenue` (annual revenue), `cust_type` (customer type), `address` (address), `city` (city), `state` (s... |
Table city, columns = [`city_id` (city id. Example values: [100, 101, 102]), `city_name` (city name. Example values: [Union City, Huntington Park, Passaic]), `state` (state. Example values: [State of New Jersey, California, New Jersey, USA]), `population` (population. Example values: [67088, 61348, 67861]), `area` (ar... | SELECT COUNT(*) FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id INNER JOIN customer AS T3 ON T3.cust_id = T1.cust_id WHERE T2.city_name = 'Laguna Niguel' AND STRFTIME('%Y', T1.ship_date) = '2016' AND T3.state = 'CA' | SELECT COUNT(*) FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id INNER JOIN customer AS T3 ON T3.cust_id = T1.cust_id WHERE T2.city_name = 'Laguna Niguel' AND STRFTIME('%Y', T1.ship_date) = '2016' AND T3.state IN ('CA', 'Golden State') |
shipping | Among the shipments for Ann Arbor, how many shipments were shipped to California in 2016? | "Downey" is the city_name; 'California' is the state, whose abbreviation is CA; in 2016 refers to year(ship_date) = 2016, |
Table city, columns = [`city_id` (city id), `city_name` (city name), `state` (state), `population` (population), `area` (area)]
Table customer, columns = [`cust_id` (customer id), `cust_name` (customer name), `annual_revenue` (annual revenue), `cust_type` (customer type), `address` (address), `city` (city), `state` (s... |
Table city, columns = [`city_id` (city id. Example values: [100, 101, 102]), `city_name` (city name. Example values: [Union City, Huntington Park, Passaic]), `state` (state. Example values: [State of New Jersey, California, New Jersey, USA]), `population` (population. Example values: [67088, 61348, 67861]), `area` (ar... | SELECT COUNT(*) FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id INNER JOIN customer AS T3 ON T3.cust_id = T1.cust_id WHERE T2.city_name = 'Ann Arbor' AND STRFTIME('%Y', T1.ship_date) = '2016' AND T3.state = 'CO' | SELECT COUNT(*) FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id INNER JOIN customer AS T3 ON T3.cust_id = T1.cust_id WHERE T2.city_name = 'Ann Arbor' AND STRFTIME('%Y', T1.ship_date) = '2016' AND T3.state IN ('CO', 'Colorado, USA') |
shipping | Among the shipments for Las Cruces, how many shipments were shipped to California in 2016? | "Downey" is the city_name; 'California' is the state, whose abbreviation is CA; in 2016 refers to year(ship_date) = 2016, |
Table city, columns = [`city_id` (city id), `city_name` (city name), `state` (state), `population` (population), `area` (area)]
Table customer, columns = [`cust_id` (customer id), `cust_name` (customer name), `annual_revenue` (annual revenue), `cust_type` (customer type), `address` (address), `city` (city), `state` (s... |
Table city, columns = [`city_id` (city id. Example values: [100, 101, 102]), `city_name` (city name. Example values: [Union City, Huntington Park, Passaic]), `state` (state. Example values: [State of New Jersey, California, New Jersey, USA]), `population` (population. Example values: [67088, 61348, 67861]), `area` (ar... | SELECT COUNT(*) FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id INNER JOIN customer AS T3 ON T3.cust_id = T1.cust_id WHERE T2.city_name = 'Las Cruces' AND STRFTIME('%Y', T1.ship_date) = '2016' AND T3.state = 'IA' | SELECT COUNT(*) FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id INNER JOIN customer AS T3 ON T3.cust_id = T1.cust_id WHERE T2.city_name = 'Las Cruces' AND STRFTIME('%Y', T1.ship_date) = '2016' AND T3.state = 'IA' |
shipping | Among the shipments for Downey, how many shipments were shipped to California in 2016? | "Downey" is the city_name; 'California' is the state, whose abbreviation is CA; in 2016 refers to year(ship_date) = 2016, |
Table city, columns = [`city_id` (city id), `city_name` (city name), `state` (state), `population` (population), `area` (area)]
Table customer, columns = [`cust_id` (customer id), `cust_name` (customer name), `annual_revenue` (annual revenue), `cust_type` (customer type), `address` (address), `city` (city), `state` (s... |
Table city, columns = [`city_id` (city id. Example values: [100, 101, 102]), `city_name` (city name. Example values: [Union City, Huntington Park, Passaic]), `state` (state. Example values: [State of New Jersey, California, New Jersey, USA]), `population` (population. Example values: [67088, 61348, 67861]), `area` (ar... | SELECT COUNT(*) FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id INNER JOIN customer AS T3 ON T3.cust_id = T1.cust_id WHERE T2.city_name = 'Downey' AND STRFTIME('%Y', T1.ship_date) = '2016' AND T3.state = 'CA' | SELECT COUNT(*) FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id INNER JOIN customer AS T3 ON T3.cust_id = T1.cust_id WHERE T2.city_name IN ('Downey, CA', 'Downey') AND STRFTIME('%Y', T1.ship_date) = '2016' AND T3.state IN ('CA', 'Golden State') |
shipping | What is the address of the driver that delivers the shipment for the customer lives at 7052 Carroll Road, Detroit, California? | "7052 Carroll Road" is the address of customer; 'San Diego' is the city; 'California' is the state |
Table city, columns = [`city_id` (city id), `city_name` (city name), `state` (state), `population` (population), `area` (area)]
Table customer, columns = [`cust_id` (customer id), `cust_name` (customer name), `annual_revenue` (annual revenue), `cust_type` (customer type), `address` (address), `city` (city), `state` (s... |
Table city, columns = [`city_id` (city id. Example values: [100, 101, 102]), `city_name` (city name. Example values: [Union City, Huntington Park, Passaic]), `state` (state. Example values: [State of New Jersey, California, New Jersey, USA]), `population` (population. Example values: [67088, 61348, 67861]), `area` (ar... | SELECT T3.address FROM shipment AS T1 INNER JOIN customer AS T2 ON T1.cust_id = T2.cust_id INNER JOIN driver AS T3 ON T3.driver_id = T1.driver_id WHERE T2.address = '7052 Carroll Road' AND T2.city = 'Detroit' AND T2.state = 'AZ' | SELECT T3.address FROM shipment AS T1 INNER JOIN customer AS T2 ON T1.cust_id = T2.cust_id INNER JOIN driver AS T3 ON T3.driver_id = T1.driver_id WHERE T2.address = '7052 Carroll Road' AND T2.city = 'Detroit' AND T2.state IN ('AZ', 'AZ, United States') |
shipping | What is the address of the driver that delivers the shipment for the customer lives at 7052 Carroll Road, Sunnyvale, California? | "7052 Carroll Road" is the address of customer; 'San Diego' is the city; 'California' is the state |
Table city, columns = [`city_id` (city id), `city_name` (city name), `state` (state), `population` (population), `area` (area)]
Table customer, columns = [`cust_id` (customer id), `cust_name` (customer name), `annual_revenue` (annual revenue), `cust_type` (customer type), `address` (address), `city` (city), `state` (s... |
Table city, columns = [`city_id` (city id. Example values: [100, 101, 102]), `city_name` (city name. Example values: [Union City, Huntington Park, Passaic]), `state` (state. Example values: [State of New Jersey, California, New Jersey, USA]), `population` (population. Example values: [67088, 61348, 67861]), `area` (ar... | SELECT T3.address FROM shipment AS T1 INNER JOIN customer AS T2 ON T1.cust_id = T2.cust_id INNER JOIN driver AS T3 ON T3.driver_id = T1.driver_id WHERE T2.address = '7052 Carroll Road' AND T2.city = 'Sunnyvale' AND T2.state = 'IL' | SELECT T3.address FROM shipment AS T1 INNER JOIN customer AS T2 ON T1.cust_id = T2.cust_id INNER JOIN driver AS T3 ON T3.driver_id = T1.driver_id WHERE T2.address = '7052 Carroll Road' AND T2.city = 'Sunnyvale' AND T2.state IN ('IL', 'Illinois, USA') |
shipping | How many customers who live in California that are retailers? | "retailer" is the cust_type; live in California refers to state = 'CA' |
Table city, columns = [`city_id` (city id), `city_name` (city name), `state` (state), `population` (population), `area` (area)]
Table customer, columns = [`cust_id` (customer id), `cust_name` (customer name), `annual_revenue` (annual revenue), `cust_type` (customer type), `address` (address), `city` (city), `state` (s... |
Table city, columns = [`city_id` (city id. Example values: [100, 101, 102]), `city_name` (city name. Example values: [Union City, Huntington Park, Passaic]), `state` (state. Example values: [State of New Jersey, California, New Jersey, USA]), `population` (population. Example values: [67088, 61348, 67861]), `area` (ar... | SELECT COUNT(*) FROM customer WHERE cust_type = 'retailer' AND state = 'CA' | SELECT COUNT(*) FROM customer WHERE cust_type IN ('retailer', 'retail company', 'retail seller') AND state IN ('CA', 'Golden State') |
shipping | How many shipments were shipped to customers living in California in year 2016? | living in California refers to state = 'CA'; in year 2016 refers to CAST(ship_date AS DATE) = 2016 |
Table city, columns = [`city_id` (city id), `city_name` (city name), `state` (state), `population` (population), `area` (area)]
Table customer, columns = [`cust_id` (customer id), `cust_name` (customer name), `annual_revenue` (annual revenue), `cust_type` (customer type), `address` (address), `city` (city), `state` (s... |
Table city, columns = [`city_id` (city id. Example values: [100, 101, 102]), `city_name` (city name. Example values: [Union City, Huntington Park, Passaic]), `state` (state. Example values: [State of New Jersey, California, New Jersey, USA]), `population` (population. Example values: [67088, 61348, 67861]), `area` (ar... | SELECT COUNT(*) AS per FROM customer AS T1 INNER JOIN shipment AS T2 ON T1.cust_id = T2.cust_id WHERE STRFTIME('%Y', T2.ship_date) = '2016' AND T1.state = 'CA' | SELECT COUNT(*) AS per FROM customer AS T1 INNER JOIN shipment AS T2 ON T1.cust_id = T2.cust_id WHERE STRFTIME('%Y', T2.ship_date) = '2016' AND T1.state IN ('CA', 'Golden State') |
shipping | What is the address of the driver that delivers the shipment for the customer lives at 7052 Carroll Road, San Diego, California? | "7052 Carroll Road" is the address of customer; 'San Diego' is the city; 'California' is the state |
Table city, columns = [`city_id` (city id), `city_name` (city name), `state` (state), `population` (population), `area` (area)]
Table customer, columns = [`cust_id` (customer id), `cust_name` (customer name), `annual_revenue` (annual revenue), `cust_type` (customer type), `address` (address), `city` (city), `state` (s... |
Table city, columns = [`city_id` (city id. Example values: [100, 101, 102]), `city_name` (city name. Example values: [Union City, Huntington Park, Passaic]), `state` (state. Example values: [State of New Jersey, California, New Jersey, USA]), `population` (population. Example values: [67088, 61348, 67861]), `area` (ar... | SELECT T3.address FROM shipment AS T1 INNER JOIN customer AS T2 ON T1.cust_id = T2.cust_id INNER JOIN driver AS T3 ON T3.driver_id = T1.driver_id WHERE T2.address = '7052 Carroll Road' AND T2.city = 'San Diego' AND T2.state = 'CA' | SELECT T3.address FROM shipment AS T1 INNER JOIN customer AS T2 ON T1.cust_id = T2.cust_id INNER JOIN driver AS T3 ON T3.driver_id = T1.driver_id WHERE T2.address = '7052 Carroll Road' AND T2.city = 'San Diego' AND T2.state IN ('CA', 'Golden State') |
shipping | How many shipments were delivered to a customer from New York? | "New York" refers to state = 'NY' |
Table city, columns = [`city_id` (city id), `city_name` (city name), `state` (state), `population` (population), `area` (area)]
Table customer, columns = [`cust_id` (customer id), `cust_name` (customer name), `annual_revenue` (annual revenue), `cust_type` (customer type), `address` (address), `city` (city), `state` (s... |
Table city, columns = [`city_id` (city id. Example values: [100, 101, 102]), `city_name` (city name. Example values: [Union City, Huntington Park, Passaic]), `state` (state. Example values: [State of New Jersey, California, New Jersey, USA]), `population` (population. Example values: [67088, 61348, 67861]), `area` (ar... | SELECT COUNT(*) FROM shipment AS T1 INNER JOIN customer AS T2 ON T1.cust_id = T2.cust_id WHERE T2.state = 'NY' | SELECT COUNT(*) FROM shipment AS T1 INNER JOIN customer AS T2 ON T1.cust_id = T2.cust_id WHERE T2.state IN ('New York', 'NY') |
shipping | Provide the ship date of the first shipment to customers in South Carolina. | "South Carolina" refers to state = 'SC'; first shipment refers to Min(ship_date) |
Table city, columns = [`city_id` (city id), `city_name` (city name), `state` (state), `population` (population), `area` (area)]
Table customer, columns = [`cust_id` (customer id), `cust_name` (customer name), `annual_revenue` (annual revenue), `cust_type` (customer type), `address` (address), `city` (city), `state` (s... |
Table city, columns = [`city_id` (city id. Example values: [100, 101, 102]), `city_name` (city name. Example values: [Union City, Huntington Park, Passaic]), `state` (state. Example values: [State of New Jersey, California, New Jersey, USA]), `population` (population. Example values: [67088, 61348, 67861]), `area` (ar... | SELECT MIN(T1.ship_date) FROM shipment AS T1 INNER JOIN customer AS T2 ON T1.cust_id = T2.cust_id WHERE T2.state = 'SC' | SELECT MIN(T1.ship_date) FROM shipment AS T1 INNER JOIN customer AS T2 ON T1.cust_id = T2.cust_id WHERE T2.state = 'SC' |
shipping | How many shipments were ordered by a customer in Florida? | customer in Florida refers to state = 'FL' |
Table city, columns = [`city_id` (city id), `city_name` (city name), `state` (state), `population` (population), `area` (area)]
Table customer, columns = [`cust_id` (customer id), `cust_name` (customer name), `annual_revenue` (annual revenue), `cust_type` (customer type), `address` (address), `city` (city), `state` (s... |
Table city, columns = [`city_id` (city id. Example values: [100, 101, 102]), `city_name` (city name. Example values: [Union City, Huntington Park, Passaic]), `state` (state. Example values: [State of New Jersey, California, New Jersey, USA]), `population` (population. Example values: [67088, 61348, 67861]), `area` (ar... | SELECT COUNT(T1.cust_id) FROM customer AS T1 INNER JOIN shipment AS T2 ON T1.cust_id = T2.cust_id WHERE T1.state = 'FL' | SELECT COUNT(T1.cust_id) FROM customer AS T1 INNER JOIN shipment AS T2 ON T1.cust_id = T2.cust_id WHERE T1.state IN ('FL state', 'FL', 'Florida, USA') |
shipping | Determine the percentage of manufacturers who are from Texas among all of Lorenzo's customers. | "Texas" refers to state = 'TX'; 'manufacturer' is the cust_type; percentage = Divide (Count(cust_id where state = 'TX'), Count(cust_id)) * 100 |
Table city, columns = [`city_id` (city id), `city_name` (city name), `state` (state), `population` (population), `area` (area)]
Table customer, columns = [`cust_id` (customer id), `cust_name` (customer name), `annual_revenue` (annual revenue), `cust_type` (customer type), `address` (address), `city` (city), `state` (s... |
Table city, columns = [`city_id` (city id. Example values: [100, 101, 102]), `city_name` (city name. Example values: [Union City, Huntington Park, Passaic]), `state` (state. Example values: [State of New Jersey, California, New Jersey, USA]), `population` (population. Example values: [67088, 61348, 67861]), `area` (ar... | SELECT CAST(SUM(CASE WHEN cust_type = 'manufacturer' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM customer WHERE state = 'TX' | SELECT CAST(SUM(CASE WHEN cust_type IN ('manufacturing company', 'manufacturer type', 'maker', 'manufacturer') THEN 1 ELSE 0 END) AS FLOAT) * 100 / COUNT(*) FROM customer WHERE state IN ('TX state', 'Texas, USA', 'Lone Star State', 'TX') |
shipping | Among the shipments to a customer from Texas, what percentage of the shipments shipped in 2017? | "Texas" refers to state = 'TX'; shipped in 2017 refers to CAST(ship_date AS DATE) = 2017; percentage = Divide (Count (ship_id where CAST(ship_date AS DATE) = 2017), Count (ship_id)) * 100 |
Table city, columns = [`city_id` (city id), `city_name` (city name), `state` (state), `population` (population), `area` (area)]
Table customer, columns = [`cust_id` (customer id), `cust_name` (customer name), `annual_revenue` (annual revenue), `cust_type` (customer type), `address` (address), `city` (city), `state` (s... |
Table city, columns = [`city_id` (city id. Example values: [100, 101, 102]), `city_name` (city name. Example values: [Union City, Huntington Park, Passaic]), `state` (state. Example values: [State of New Jersey, California, New Jersey, USA]), `population` (population. Example values: [67088, 61348, 67861]), `area` (ar... | SELECT CAST(SUM(CASE WHEN STRFTIME('%Y', T1.ship_date) = '2017' THEN 1 ELSE 0 END) AS REAL ) * 100 / COUNT(*) FROM shipment AS T1 INNER JOIN customer AS T2 ON T1.cust_id = T2.cust_id WHERE T2.state = 'TX' | SELECT CAST(SUM(CASE WHEN STRFTIME('%Y', T1.ship_date) = '2017' THEN 1 ELSE 0 END) AS FLOAT) * 100 / COUNT(*) FROM shipment AS T1 INNER JOIN customer AS T2 ON T1.cust_id = T2.cust_id WHERE T2.state IN ('TX state', 'Texas, USA', 'Lone Star State', 'TX') |
shipping | Please list the IDs of all the shipments made by a retailer customer. | "retailer" is the cust_type; IDs of shipments refers to ship_id |
Table city, columns = [`city_id` (city id), `city_name` (city name), `state` (state), `population` (population), `area` (area)]
Table customer, columns = [`cust_id` (customer id), `cust_name` (customer name), `annual_revenue` (annual revenue), `cust_type` (customer type), `address` (address), `city` (city), `state` (s... |
Table city, columns = [`city_id` (city id. Example values: [100, 101, 102]), `city_name` (city name. Example values: [Union City, Huntington Park, Passaic]), `state` (state. Example values: [State of New Jersey, California, New Jersey, USA]), `population` (population. Example values: [67088, 61348, 67861]), `area` (ar... | SELECT T2.ship_id FROM customer AS T1 INNER JOIN shipment AS T2 ON T1.cust_id = T2.cust_id WHERE T1.cust_type = 'retailer' | SELECT T2.ship_id FROM customer AS T1 INNER JOIN shipment AS T2 ON T1.cust_id = T2.cust_id WHERE T1.cust_type IN ('retailer', 'retail company', 'retail seller') |
shipping | How many customers are manufacturer? | "manufacturer" is the cust_type |
Table city, columns = [`city_id` (city id), `city_name` (city name), `state` (state), `population` (population), `area` (area)]
Table customer, columns = [`cust_id` (customer id), `cust_name` (customer name), `annual_revenue` (annual revenue), `cust_type` (customer type), `address` (address), `city` (city), `state` (s... |
Table city, columns = [`city_id` (city id. Example values: [100, 101, 102]), `city_name` (city name. Example values: [Union City, Huntington Park, Passaic]), `state` (state. Example values: [State of New Jersey, California, New Jersey, USA]), `population` (population. Example values: [67088, 61348, 67861]), `area` (ar... | SELECT COUNT(*) FROM customer WHERE cust_type = 'manufacturer' | SELECT COUNT(*) FROM customer WHERE cust_type IN ('manufacturing company', 'manufacturer type', 'maker', 'manufacturer') |
shipping | What is the percentage of wholesaler customers who have shipment weight of not greater than 70000 pounds? | "wholesaler" is the cust_type; weight of not greater than 70000 pounds refers to weight < 70000; percentage = Divide (Count(cust_id where weight < 70000), Count(cust_id)) * 100 |
Table city, columns = [`city_id` (city id), `city_name` (city name), `state` (state), `population` (population), `area` (area)]
Table customer, columns = [`cust_id` (customer id), `cust_name` (customer name), `annual_revenue` (annual revenue), `cust_type` (customer type), `address` (address), `city` (city), `state` (s... |
Table city, columns = [`city_id` (city id. Example values: [100, 101, 102]), `city_name` (city name. Example values: [Union City, Huntington Park, Passaic]), `state` (state. Example values: [State of New Jersey, California, New Jersey, USA]), `population` (population. Example values: [67088, 61348, 67861]), `area` (ar... | SELECT CAST(SUM(CASE WHEN T2.weight < 70000 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM customer AS T1 INNER JOIN shipment AS T2 ON T1.cust_id = T2.cust_id WHERE T1.cust_type = 'wholesaler' | SELECT CAST(SUM(CASE WHEN T2.weight < 70000 THEN 1 ELSE 0 END) AS FLOAT) * 100 / COUNT(*) FROM customer AS T1 INNER JOIN shipment AS T2 ON T1.cust_id = T2.cust_id WHERE T1.cust_type IN ('wholesaler', 'wholesaler client', 'wholesaler type') |
address | Which district has the largest land area in Delaware? Write the full name of the congress representative and include the postal codes. | "Wisconsin" is the state; largest land area refers to Max(land_area); full name refers to first_name, last_name; postal code refers to zip_code |
Table CBSA, columns = [`cbsa` (cbsa), `cbsa_name` (cbsa name), `cbsa_type` (cbsa type)]
Table state, columns = [`abbreviation` (abbreviation), `name` (name)]
Table congress, columns = [`cognress_rep_id` (congress representative id), `first_name` (first name), `last_name` (last name), `cid` (cid), `party` (party), `sta... |
Table CBSA, columns = [`cbsa` (cbsa. Example values: [10300, 10380, 10420]), `cbsa_name` (cbsa name. Example values: [Adrian, MI, Aguadilla-Isabela, PR, Akron, OH]), `cbsa_type` (cbsa type. Example values: [Micro, Metro])]
Table state, columns = [`abbreviation` (abbreviation. Example values: [AA, AE, AK]), `name` (nam... | SELECT T2.zip_code, T1.first_name, T1.last_name FROM congress AS T1 INNER JOIN zip_congress AS T2 ON T1.cognress_rep_id = T2.district WHERE T1.state = 'Delaware' ORDER BY T1.land_area DESC LIMIT 1 | SELECT T2.zip_code, T1.first_name, T1.last_name FROM congress AS T1 INNER JOIN zip_congress AS T2 ON T1.cognress_rep_id = T2.district WHERE T1.state IN ('Delaware', 'Delaware state', 'Delaware, USA') ORDER BY T1.land_area DESC LIMIT 1 |
address | How many postal points are there under the congress representative in New York? | postal points refer to zip_code; Puerto Rico refers to state = 'Puerto Rico'; |
Table CBSA, columns = [`cbsa` (cbsa), `cbsa_name` (cbsa name), `cbsa_type` (cbsa type)]
Table state, columns = [`abbreviation` (abbreviation), `name` (name)]
Table congress, columns = [`cognress_rep_id` (congress representative id), `first_name` (first name), `last_name` (last name), `cid` (cid), `party` (party), `sta... |
Table CBSA, columns = [`cbsa` (cbsa. Example values: [10300, 10380, 10420]), `cbsa_name` (cbsa name. Example values: [Adrian, MI, Aguadilla-Isabela, PR, Akron, OH]), `cbsa_type` (cbsa type. Example values: [Micro, Metro])]
Table state, columns = [`abbreviation` (abbreviation. Example values: [AA, AE, AK]), `name` (nam... | SELECT COUNT(T2.zip_code) FROM congress AS T1 INNER JOIN zip_congress AS T2 ON T1.cognress_rep_id = T2.district WHERE T1.state = 'New York' | SELECT COUNT(T2.zip_code) FROM congress AS T1 INNER JOIN zip_congress AS T2 ON T1.cognress_rep_id = T2.district WHERE T1.state IN ('New York', 'New York State', 'Queens, New York') |
address | Which district has the largest land area in Missouri? Write the full name of the congress representative and include the postal codes. | "Wisconsin" is the state; largest land area refers to Max(land_area); full name refers to first_name, last_name; postal code refers to zip_code |
Table CBSA, columns = [`cbsa` (cbsa), `cbsa_name` (cbsa name), `cbsa_type` (cbsa type)]
Table state, columns = [`abbreviation` (abbreviation), `name` (name)]
Table congress, columns = [`cognress_rep_id` (congress representative id), `first_name` (first name), `last_name` (last name), `cid` (cid), `party` (party), `sta... |
Table CBSA, columns = [`cbsa` (cbsa. Example values: [10300, 10380, 10420]), `cbsa_name` (cbsa name. Example values: [Adrian, MI, Aguadilla-Isabela, PR, Akron, OH]), `cbsa_type` (cbsa type. Example values: [Micro, Metro])]
Table state, columns = [`abbreviation` (abbreviation. Example values: [AA, AE, AK]), `name` (nam... | SELECT T2.zip_code, T1.first_name, T1.last_name FROM congress AS T1 INNER JOIN zip_congress AS T2 ON T1.cognress_rep_id = T2.district WHERE T1.state = 'Missouri' ORDER BY T1.land_area DESC LIMIT 1 | SELECT T2.zip_code, T1.first_name, T1.last_name FROM congress AS T1 INNER JOIN zip_congress AS T2 ON T1.cognress_rep_id = T2.district WHERE T1.state IN ('Missouri', 'Missouri state') ORDER BY T1.land_area DESC LIMIT 1 |
End of preview.
README.md exists but content is empty.
- Downloads last month
- 56