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spider_base

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train · 8.66k rows

db_id stringclasses 146 values	question stringlengths 3 224	query stringlengths 18 577	query_format stringlengths 18 577	answer stringlengths 13 874k
student_assessment	What are the ids of the students who either registered or attended a course?	SELECT student_id FROM student_course_registrations UNION SELECT student_id FROM student_course_attendance	SELECT student_id FROM student_course_registrations UNION SELECT student_id FROM student_course_attendance	[{'student_id': 111}, {'student_id': 121}, {'student_id': 131}, {'student_id': 141}, {'student_id': 151}, {'student_id': 161}, {'student_id': 171}]
student_assessment	Find the id of courses which are registered or attended by student whose id is 121?	SELECT course_id FROM student_course_registrations WHERE student_id = 121 UNION SELECT course_id FROM student_course_attendance WHERE student_id = 121	SELECT course_id FROM student_course_registrations WHERE student_id = 121 UNION SELECT course_id FROM student_course_attendance WHERE student_id = 121	[{'course_id': 301}, {'course_id': 303}]
student_assessment	What are the ids of the courses that are registered or attended by the student whose id is 121?	SELECT course_id FROM student_course_registrations WHERE student_id = 121 UNION SELECT course_id FROM student_course_attendance WHERE student_id = 121	SELECT course_id FROM student_course_registrations WHERE student_id = 121 UNION SELECT course_id FROM student_course_attendance WHERE student_id = 121	[{'course_id': 301}, {'course_id': 303}]
student_assessment	What are all info of students who registered courses but not attended courses?	SELECT * FROM student_course_registrations WHERE student_id NOT IN (SELECT student_id FROM student_course_attendance)	SELECT * FROM student_course_registrations WHERE student_id NOT IN (SELECT student_id FROM student_course_attendance)	[{'student_id': 131, 'course_id': 303, 'registration_date': '2008-11-05 10:35:13'}]
student_assessment	What are all details of the students who registered but did not attend any course?	SELECT * FROM student_course_registrations WHERE student_id NOT IN (SELECT student_id FROM student_course_attendance)	SELECT * FROM student_course_registrations WHERE student_id NOT IN (SELECT student_id FROM student_course_attendance)	[{'student_id': 131, 'course_id': 303, 'registration_date': '2008-11-05 10:35:13'}]
student_assessment	List the id of students who registered course statistics in the order of registration date.	SELECT T2.student_id FROM courses AS T1 JOIN student_course_registrations AS T2 ON T1.course_id = T2.course_id WHERE T1.course_name = "statistics" ORDER BY T2.registration_date	SELECT T2.student_id FROM courses AS T1 JOIN student_course_registrations AS T2 ON T1.course_id = T2.course_id WHERE T1.course_name = "statistics" ORDER BY T2.registration_date	[{'student_id': 121}, {'student_id': 111}, {'student_id': 171}, {'student_id': 141}]
student_assessment	What are the ids of the students who registered course statistics by order of registration date?	SELECT T2.student_id FROM courses AS T1 JOIN student_course_registrations AS T2 ON T1.course_id = T2.course_id WHERE T1.course_name = "statistics" ORDER BY T2.registration_date	SELECT T2.student_id FROM courses AS T1 JOIN student_course_registrations AS T2 ON T1.course_id = T2.course_id WHERE T1.course_name = "statistics" ORDER BY T2.registration_date	[{'student_id': 121}, {'student_id': 111}, {'student_id': 171}, {'student_id': 141}]
student_assessment	List the id of students who attended statistics courses in the order of attendance date.	SELECT T2.student_id FROM courses AS T1 JOIN student_course_attendance AS T2 ON T1.course_id = T2.course_id WHERE T1.course_name = "statistics" ORDER BY T2.date_of_attendance	SELECT T2.student_id FROM courses AS T1 JOIN student_course_attendance AS T2 ON T1.course_id = T2.course_id WHERE T1.course_name = "statistics" ORDER BY T2.date_of_attendance	[{'student_id': 111}, {'student_id': 121}, {'student_id': 141}, {'student_id': 171}]
student_assessment	What are the ids of the students who attended courses in the statistics department in order of attendance date.	SELECT T2.student_id FROM courses AS T1 JOIN student_course_attendance AS T2 ON T1.course_id = T2.course_id WHERE T1.course_name = "statistics" ORDER BY T2.date_of_attendance	SELECT T2.student_id FROM courses AS T1 JOIN student_course_attendance AS T2 ON T1.course_id = T2.course_id WHERE T1.course_name = "statistics" ORDER BY T2.date_of_attendance	[{'student_id': 111}, {'student_id': 121}, {'student_id': 141}, {'student_id': 171}]
bike_1	Give me the dates when the max temperature was higher than 85.	SELECT date FROM weather WHERE max_temperature_f > 85	SELECT date FROM weather WHERE max_temperature_f > 85	[{'date': '9/7/2013'}, {'date': '8/30/2013'}, {'date': '9/6/2013'}, {'date': '9/7/2013'}, {'date': '9/9/2013'}, {'date': '9/19/2013'}, {'date': '9/6/2013'}, {'date': '9/7/2013'}, {'date': '8/30/2013'}, {'date': '9/6/2013'}, {'date': '9/7/2013'}, {'date': '9/19/2013'}, {'date': '8/30/2013'}, {'date': '9/6/2013'}, {'date': '9/7/2013'}, {'date': '9/8/2013'}, {'date': '9/9/2013'}, {'date': '9/19/2013'}, {'date': '4/30/2014'}, {'date': '5/13/2014'}, {'date': '5/14/2014'}, {'date': '6/8/2014'}, {'date': '7/25/2014'}, {'date': '4/29/2014'}, {'date': '4/30/2014'}, {'date': '5/1/2014'}, {'date': '5/12/2014'}, {'date': '5/13/2014'}, {'date': '5/14/2014'}, {'date': '5/15/2014'}, {'date': '6/8/2014'}, {'date': '6/9/2014'}, {'date': '6/18/2014'}, {'date': '6/29/2014'}, {'date': '6/30/2014'}, {'date': '7/24/2014'}, {'date': '7/25/2014'}, {'date': '4/29/2014'}, {'date': '4/30/2014'}, {'date': '5/1/2014'}, {'date': '5/12/2014'}, {'date': '5/13/2014'}, {'date': '5/14/2014'}, {'date': '5/15/2014'}, {'date': '6/8/2014'}, {'date': '6/12/2014'}, {'date': '6/18/2014'}, {'date': '6/30/2014'}, {'date': '7/24/2014'}, {'date': '7/25/2014'}, {'date': '4/29/2014'}, {'date': '4/30/2014'}, {'date': '5/1/2014'}, {'date': '5/12/2014'}, {'date': '5/13/2014'}, {'date': '5/14/2014'}, {'date': '5/15/2014'}, {'date': '6/8/2014'}, {'date': '6/14/2014'}, {'date': '6/18/2014'}, {'date': '6/30/2014'}, {'date': '7/25/2014'}, {'date': '4/8/2014'}, {'date': '4/29/2014'}, {'date': '4/30/2014'}, {'date': '5/1/2014'}, {'date': '5/12/2014'}, {'date': '5/13/2014'}, {'date': '5/14/2014'}, {'date': '5/15/2014'}, {'date': '6/8/2014'}, {'date': '6/9/2014'}, {'date': '6/14/2014'}, {'date': '6/18/2014'}, {'date': '6/29/2014'}, {'date': '6/30/2014'}, {'date': '7/14/2014'}, {'date': '7/25/2014'}, {'date': '7/26/2014'}, {'date': '7/27/2014'}, {'date': '8/30/2014'}, {'date': '10/2/2014'}, {'date': '10/3/2014'}, {'date': '10/4/2014'}, {'date': '10/5/2014'}, {'date': '10/12/2014'}, {'date': '6/8/2015'}, {'date': '7/19/2015'}, {'date': '7/28/2015'}, {'date': '8/15/2015'}, {'date': '8/16/2015'}, {'date': '8/28/2015'}, {'date': '9/1/2014'}, {'date': '10/2/2014'}, {'date': '10/3/2014'}, {'date': '10/4/2014'}, {'date': '10/5/2014'}, {'date': '10/12/2014'}, {'date': '4/30/2015'}, {'date': '6/8/2015'}, {'date': '6/30/2015'}, {'date': '7/19/2015'}, {'date': '7/20/2015'}, {'date': '7/27/2015'}, {'date': '7/28/2015'}, {'date': '8/15/2015'}, {'date': '8/16/2015'}, {'date': '8/17/2015'}, {'date': '8/27/2015'}, {'date': '8/28/2015'}, {'date': '9/1/2014'}, {'date': '10/1/2014'}, {'date': '10/2/2014'}, {'date': '10/3/2014'}, {'date': '10/4/2014'}, {'date': '10/5/2014'}, {'date': '10/12/2014'}, {'date': '10/18/2014'}, {'date': '1/27/2015'}, {'date': '2/27/2015'}, {'date': '4/27/2015'}, {'date': '4/30/2015'}, {'date': '6/8/2015'}, {'date': '6/30/2015'}, {'date': '7/27/2015'}, {'date': '7/28/2015'}, {'date': '8/8/2015'}, {'date': '8/13/2015'}, {'date': '8/15/2015'}, {'date': '8/27/2015'}, {'date': '9/10/2014'}, {'date': '10/1/2014'}, {'date': '10/2/2014'}, {'date': '10/3/2014'}, {'date': '10/4/2014'}, {'date': '10/5/2014'}, {'date': '10/12/2014'}, {'date': '4/30/2015'}, {'date': '5/1/2015'}, {'date': '5/2/2015'}, {'date': '5/3/2015'}, {'date': '6/8/2015'}, {'date': '6/25/2015'}, {'date': '6/30/2015'}, {'date': '7/19/2015'}, {'date': '7/20/2015'}, {'date': '7/28/2015'}, {'date': '8/15/2015'}, {'date': '8/16/2015'}, {'date': '8/27/2015'}, {'date': '8/28/2015'}, {'date': '9/1/2014'}, {'date': '9/10/2014'}, {'date': '9/11/2014'}, {'date': '10/2/2014'}, {'date': '10/3/2014'}, {'date': '10/4/2014'}, {'date': '10/5/2014'}, {'date': '10/6/2014'}, {'date': '10/12/2014'}, {'date': '10/13/2014'}, {'date': '3/14/2015'}, {'date': '4/30/2015'}, {'date': '6/8/2015'}, {'date': '6/12/2015'}, {'date': '6/25/2015'}, {'date': '6/30/2015'}, {'date': '7/1/2015'}, {'date': '7/19/2015'}, {'date': '7/20/2015'}, {'date': '7/27/2015'}, {'date': '7/28/2015'}, {'date': '7/29/2015'}, {'date': '8/15/2015'}, {'date': '8/16/2015'}, {'date': '8/17/2015'}, {'date': '8/26/2015'}, {'date': '8/27/2015'}, {'date': '8/28/2015'}]
bike_1	What are the dates with a maximum temperature higher than 85?	SELECT date FROM weather WHERE max_temperature_f > 85	SELECT date FROM weather WHERE max_temperature_f > 85	[{'date': '9/7/2013'}, {'date': '8/30/2013'}, {'date': '9/6/2013'}, {'date': '9/7/2013'}, {'date': '9/9/2013'}, {'date': '9/19/2013'}, {'date': '9/6/2013'}, {'date': '9/7/2013'}, {'date': '8/30/2013'}, {'date': '9/6/2013'}, {'date': '9/7/2013'}, {'date': '9/19/2013'}, {'date': '8/30/2013'}, {'date': '9/6/2013'}, {'date': '9/7/2013'}, {'date': '9/8/2013'}, {'date': '9/9/2013'}, {'date': '9/19/2013'}, {'date': '4/30/2014'}, {'date': '5/13/2014'}, {'date': '5/14/2014'}, {'date': '6/8/2014'}, {'date': '7/25/2014'}, {'date': '4/29/2014'}, {'date': '4/30/2014'}, {'date': '5/1/2014'}, {'date': '5/12/2014'}, {'date': '5/13/2014'}, {'date': '5/14/2014'}, {'date': '5/15/2014'}, {'date': '6/8/2014'}, {'date': '6/9/2014'}, {'date': '6/18/2014'}, {'date': '6/29/2014'}, {'date': '6/30/2014'}, {'date': '7/24/2014'}, {'date': '7/25/2014'}, {'date': '4/29/2014'}, {'date': '4/30/2014'}, {'date': '5/1/2014'}, {'date': '5/12/2014'}, {'date': '5/13/2014'}, {'date': '5/14/2014'}, {'date': '5/15/2014'}, {'date': '6/8/2014'}, {'date': '6/12/2014'}, {'date': '6/18/2014'}, {'date': '6/30/2014'}, {'date': '7/24/2014'}, {'date': '7/25/2014'}, {'date': '4/29/2014'}, {'date': '4/30/2014'}, {'date': '5/1/2014'}, {'date': '5/12/2014'}, {'date': '5/13/2014'}, {'date': '5/14/2014'}, {'date': '5/15/2014'}, {'date': '6/8/2014'}, {'date': '6/14/2014'}, {'date': '6/18/2014'}, {'date': '6/30/2014'}, {'date': '7/25/2014'}, {'date': '4/8/2014'}, {'date': '4/29/2014'}, {'date': '4/30/2014'}, {'date': '5/1/2014'}, {'date': '5/12/2014'}, {'date': '5/13/2014'}, {'date': '5/14/2014'}, {'date': '5/15/2014'}, {'date': '6/8/2014'}, {'date': '6/9/2014'}, {'date': '6/14/2014'}, {'date': '6/18/2014'}, {'date': '6/29/2014'}, {'date': '6/30/2014'}, {'date': '7/14/2014'}, {'date': '7/25/2014'}, {'date': '7/26/2014'}, {'date': '7/27/2014'}, {'date': '8/30/2014'}, {'date': '10/2/2014'}, {'date': '10/3/2014'}, {'date': '10/4/2014'}, {'date': '10/5/2014'}, {'date': '10/12/2014'}, {'date': '6/8/2015'}, {'date': '7/19/2015'}, {'date': '7/28/2015'}, {'date': '8/15/2015'}, {'date': '8/16/2015'}, {'date': '8/28/2015'}, {'date': '9/1/2014'}, {'date': '10/2/2014'}, {'date': '10/3/2014'}, {'date': '10/4/2014'}, {'date': '10/5/2014'}, {'date': '10/12/2014'}, {'date': '4/30/2015'}, {'date': '6/8/2015'}, {'date': '6/30/2015'}, {'date': '7/19/2015'}, {'date': '7/20/2015'}, {'date': '7/27/2015'}, {'date': '7/28/2015'}, {'date': '8/15/2015'}, {'date': '8/16/2015'}, {'date': '8/17/2015'}, {'date': '8/27/2015'}, {'date': '8/28/2015'}, {'date': '9/1/2014'}, {'date': '10/1/2014'}, {'date': '10/2/2014'}, {'date': '10/3/2014'}, {'date': '10/4/2014'}, {'date': '10/5/2014'}, {'date': '10/12/2014'}, {'date': '10/18/2014'}, {'date': '1/27/2015'}, {'date': '2/27/2015'}, {'date': '4/27/2015'}, {'date': '4/30/2015'}, {'date': '6/8/2015'}, {'date': '6/30/2015'}, {'date': '7/27/2015'}, {'date': '7/28/2015'}, {'date': '8/8/2015'}, {'date': '8/13/2015'}, {'date': '8/15/2015'}, {'date': '8/27/2015'}, {'date': '9/10/2014'}, {'date': '10/1/2014'}, {'date': '10/2/2014'}, {'date': '10/3/2014'}, {'date': '10/4/2014'}, {'date': '10/5/2014'}, {'date': '10/12/2014'}, {'date': '4/30/2015'}, {'date': '5/1/2015'}, {'date': '5/2/2015'}, {'date': '5/3/2015'}, {'date': '6/8/2015'}, {'date': '6/25/2015'}, {'date': '6/30/2015'}, {'date': '7/19/2015'}, {'date': '7/20/2015'}, {'date': '7/28/2015'}, {'date': '8/15/2015'}, {'date': '8/16/2015'}, {'date': '8/27/2015'}, {'date': '8/28/2015'}, {'date': '9/1/2014'}, {'date': '9/10/2014'}, {'date': '9/11/2014'}, {'date': '10/2/2014'}, {'date': '10/3/2014'}, {'date': '10/4/2014'}, {'date': '10/5/2014'}, {'date': '10/6/2014'}, {'date': '10/12/2014'}, {'date': '10/13/2014'}, {'date': '3/14/2015'}, {'date': '4/30/2015'}, {'date': '6/8/2015'}, {'date': '6/12/2015'}, {'date': '6/25/2015'}, {'date': '6/30/2015'}, {'date': '7/1/2015'}, {'date': '7/19/2015'}, {'date': '7/20/2015'}, {'date': '7/27/2015'}, {'date': '7/28/2015'}, {'date': '7/29/2015'}, {'date': '8/15/2015'}, {'date': '8/16/2015'}, {'date': '8/17/2015'}, {'date': '8/26/2015'}, {'date': '8/27/2015'}, {'date': '8/28/2015'}]
bike_1	What are the names of stations that have latitude lower than 37.5?	SELECT name FROM station WHERE lat < 37.5	SELECT name FROM station WHERE lat < 37.5	[{'name': 'San Jose Diridon Caltrain Station'}, {'name': 'San Jose Civic Center'}, {'name': 'Santa Clara at Almaden'}, {'name': 'Adobe on Almaden'}, {'name': 'San Pedro Square'}, {'name': 'Paseo de San Antonio'}, {'name': 'San Salvador at 1st'}, {'name': 'Japantown'}, {'name': 'San Jose City Hall'}, {'name': 'MLK Library'}, {'name': 'SJSU 4th at San Carlos'}, {'name': 'St James Park'}, {'name': 'Arena Green / SAP Center'}, {'name': 'SJSU - San Salvador at 9th'}, {'name': 'Franklin at Maple'}, {'name': 'Redwood City Caltrain Station'}, {'name': 'San Mateo County Center'}, {'name': 'Redwood City Public Library'}, {'name': 'Stanford in Redwood City'}, {'name': 'Redwood City Medical Center'}, {'name': 'Mountain View City Hall'}, {'name': 'Mountain View Caltrain Station'}, {'name': 'San Antonio Caltrain Station'}, {'name': 'Evelyn Park and Ride'}, {'name': 'San Antonio Shopping Center'}, {'name': 'Castro Street and El Camino Real'}, {'name': 'Rengstorff Avenue / California Street'}, {'name': 'Palo Alto Caltrain Station'}, {'name': 'University and Emerson'}, {'name': 'California Ave Caltrain Station'}, {'name': 'Cowper at University'}, {'name': 'Park at Olive'}, {'name': 'Santa Clara County Civic Center'}, {'name': 'Mezes Park'}, {'name': 'Ryland Park'}]
bike_1	What are the names of all stations with a latitude smaller than 37.5?	SELECT name FROM station WHERE lat < 37.5	SELECT name FROM station WHERE lat < 37.5	[{'name': 'San Jose Diridon Caltrain Station'}, {'name': 'San Jose Civic Center'}, {'name': 'Santa Clara at Almaden'}, {'name': 'Adobe on Almaden'}, {'name': 'San Pedro Square'}, {'name': 'Paseo de San Antonio'}, {'name': 'San Salvador at 1st'}, {'name': 'Japantown'}, {'name': 'San Jose City Hall'}, {'name': 'MLK Library'}, {'name': 'SJSU 4th at San Carlos'}, {'name': 'St James Park'}, {'name': 'Arena Green / SAP Center'}, {'name': 'SJSU - San Salvador at 9th'}, {'name': 'Franklin at Maple'}, {'name': 'Redwood City Caltrain Station'}, {'name': 'San Mateo County Center'}, {'name': 'Redwood City Public Library'}, {'name': 'Stanford in Redwood City'}, {'name': 'Redwood City Medical Center'}, {'name': 'Mountain View City Hall'}, {'name': 'Mountain View Caltrain Station'}, {'name': 'San Antonio Caltrain Station'}, {'name': 'Evelyn Park and Ride'}, {'name': 'San Antonio Shopping Center'}, {'name': 'Castro Street and El Camino Real'}, {'name': 'Rengstorff Avenue / California Street'}, {'name': 'Palo Alto Caltrain Station'}, {'name': 'University and Emerson'}, {'name': 'California Ave Caltrain Station'}, {'name': 'Cowper at University'}, {'name': 'Park at Olive'}, {'name': 'Santa Clara County Civic Center'}, {'name': 'Mezes Park'}, {'name': 'Ryland Park'}]
bike_1	For each city, return the highest latitude among its stations.	SELECT city , max(lat) FROM station GROUP BY city	SELECT city , max(lat) FROM station GROUP BY city	[{'city': 'Mountain View', 'max(lat)': 37.406940000000006}, {'city': 'Palo Alto', 'max(lat)': 37.448598}, {'city': 'Redwood City', 'max(lat)': 37.491269}, {'city': 'San Francisco', 'max(lat)': 37.80477}, {'city': 'San Jose', 'max(lat)': 37.352601}]
bike_1	For each city, what is the highest latitude for its stations?	SELECT city , max(lat) FROM station GROUP BY city	SELECT city , max(lat) FROM station GROUP BY city	[{'city': 'Mountain View', 'max(lat)': 37.406940000000006}, {'city': 'Palo Alto', 'max(lat)': 37.448598}, {'city': 'Redwood City', 'max(lat)': 37.491269}, {'city': 'San Francisco', 'max(lat)': 37.80477}, {'city': 'San Jose', 'max(lat)': 37.352601}]
bike_1	Give me the start station and end station for the trips with the three oldest id.	SELECT start_station_name , end_station_name FROM trip ORDER BY id LIMIT 3	SELECT start_station_name , end_station_name FROM trip ORDER BY id LIMIT 3	[{'start_station_name': 'Howard at 2nd', 'end_station_name': 'San Francisco Caltrain 2 (330 Townsend)'}, {'start_station_name': 'South Van Ness at Market', 'end_station_name': 'San Francisco Caltrain 2 (330 Townsend)'}, {'start_station_name': 'Market at Sansome', 'end_station_name': 'Harry Bridges Plaza (Ferry Building)'}]
bike_1	What is the station station and end station for the trips with the three smallest ids?	SELECT start_station_name , end_station_name FROM trip ORDER BY id LIMIT 3	SELECT start_station_name , end_station_name FROM trip ORDER BY id LIMIT 3	[{'start_station_name': 'Howard at 2nd', 'end_station_name': 'San Francisco Caltrain 2 (330 Townsend)'}, {'start_station_name': 'South Van Ness at Market', 'end_station_name': 'San Francisco Caltrain 2 (330 Townsend)'}, {'start_station_name': 'Market at Sansome', 'end_station_name': 'Harry Bridges Plaza (Ferry Building)'}]
bike_1	What is the average latitude and longitude of stations located in San Jose city?	SELECT avg(lat) , avg(long) FROM station WHERE city = "San Jose"	SELECT avg(lat) , avg(long) FROM station WHERE city = "San Jose"	[{'avg(lat)': 37.3364135625, 'avg(long)': -121.89160575}]
bike_1	What is the average latitude and longitude in San Jose?	SELECT avg(lat) , avg(long) FROM station WHERE city = "San Jose"	SELECT avg(lat) , avg(long) FROM station WHERE city = "San Jose"	[{'avg(lat)': 37.3364135625, 'avg(long)': -121.89160575}]
bike_1	What is the id of the trip that has the shortest duration?	SELECT id FROM trip ORDER BY duration LIMIT 1	SELECT id FROM trip ORDER BY duration LIMIT 1	[{'id': 906210}]
bike_1	What is the id of the shortest trip?	SELECT id FROM trip ORDER BY duration LIMIT 1	SELECT id FROM trip ORDER BY duration LIMIT 1	[{'id': 906210}]
bike_1	What is the total and maximum duration of trips with bike id 636?	SELECT sum(duration) , max(duration) FROM trip WHERE bike_id = 636	SELECT sum(duration) , max(duration) FROM trip WHERE bike_id = 636	[{'sum(duration)': 21897, 'max(duration)': 1299}]
bike_1	What is the total and maximum duration for all trips with the bike id 636?	SELECT sum(duration) , max(duration) FROM trip WHERE bike_id = 636	SELECT sum(duration) , max(duration) FROM trip WHERE bike_id = 636	[{'sum(duration)': 21897, 'max(duration)': 1299}]
bike_1	For each zip code, return the average mean temperature of August there.	SELECT zip_code , avg(mean_temperature_f) FROM weather WHERE date LIKE "8/%" GROUP BY zip_code	SELECT zip_code , avg(mean_temperature_f) FROM weather WHERE date LIKE "8/%" GROUP BY zip_code	[{'zip_code': 94041, 'avg(mean_temperature_f)': 69.92307692307692}, {'zip_code': 94063, 'avg(mean_temperature_f)': 69.15384615384616}, {'zip_code': 94107, 'avg(mean_temperature_f)': 67.8923076923077}, {'zip_code': 94301, 'avg(mean_temperature_f)': 69.03076923076924}, {'zip_code': 95113, 'avg(mean_temperature_f)': 70.73846153846154}]
bike_1	For each zip code, what is the average mean temperature for all dates that start with '8'?	SELECT zip_code , avg(mean_temperature_f) FROM weather WHERE date LIKE "8/%" GROUP BY zip_code	SELECT zip_code , avg(mean_temperature_f) FROM weather WHERE date LIKE "8/%" GROUP BY zip_code	[{'zip_code': 94041, 'avg(mean_temperature_f)': 69.92307692307692}, {'zip_code': 94063, 'avg(mean_temperature_f)': 69.15384615384616}, {'zip_code': 94107, 'avg(mean_temperature_f)': 67.8923076923077}, {'zip_code': 94301, 'avg(mean_temperature_f)': 69.03076923076924}, {'zip_code': 95113, 'avg(mean_temperature_f)': 70.73846153846154}]
bike_1	From the trip record, find the number of unique bikes.	SELECT count(DISTINCT bike_id) FROM trip	SELECT count(DISTINCT bike_id) FROM trip	[{'count(DISTINCT bike_id)': 530}]
bike_1	How many different bike ids are there?	SELECT count(DISTINCT bike_id) FROM trip	SELECT count(DISTINCT bike_id) FROM trip	[{'count(DISTINCT bike_id)': 530}]
bike_1	What is the number of distinct cities the stations are located at?	SELECT count(DISTINCT city) FROM station	SELECT count(DISTINCT city) FROM station	[{'count(DISTINCT city)': 5}]
bike_1	How many different cities have these stations?	SELECT count(DISTINCT city) FROM station	SELECT count(DISTINCT city) FROM station	[{'count(DISTINCT city)': 5}]
bike_1	How many stations does Mountain View city has?	SELECT COUNT(*) FROM station WHERE city = "Mountain View"	SELECT COUNT(*) FROM station WHERE city = "Mountain View"	[{'COUNT(*)': 7}]
bike_1	How many stations are in Mountain View?	SELECT COUNT(*) FROM station WHERE city = "Mountain View"	SELECT COUNT(*) FROM station WHERE city = "Mountain View"	[{'COUNT(*)': 7}]
bike_1	Return the unique name for stations that have ever had 7 bikes available.	SELECT DISTINCT T1.name FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id WHERE T2.bikes_available = 7	SELECT DISTINCT T1.name FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id WHERE T2.bikes_available = 7	[{'name': 'Santa Clara at Almaden'}, {'name': 'San Salvador at 1st'}, {'name': 'St James Park'}, {'name': 'Arena Green / SAP Center'}, {'name': 'California Ave Caltrain Station'}, {'name': 'Powell Street BART'}, {'name': 'Clay at Battery'}, {'name': 'Davis at Jackson'}, {'name': 'Washington at Kearney'}, {'name': 'Post at Kearney'}, {'name': 'Harry Bridges Plaza (Ferry Building)'}, {'name': 'Embarcadero at Bryant'}, {'name': 'Temporary Transbay Terminal (Howard at Beale)'}, {'name': 'San Francisco City Hall'}, {'name': 'Embarcadero at Sansome'}, {'name': '2nd at Townsend'}, {'name': '2nd at South Park'}, {'name': 'Steuart at Market'}]
bike_1	What are the different names for each station that has ever had 7 bikes available?	SELECT DISTINCT T1.name FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id WHERE T2.bikes_available = 7	SELECT DISTINCT T1.name FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id WHERE T2.bikes_available = 7	[{'name': 'Santa Clara at Almaden'}, {'name': 'San Salvador at 1st'}, {'name': 'St James Park'}, {'name': 'Arena Green / SAP Center'}, {'name': 'California Ave Caltrain Station'}, {'name': 'Powell Street BART'}, {'name': 'Clay at Battery'}, {'name': 'Davis at Jackson'}, {'name': 'Washington at Kearney'}, {'name': 'Post at Kearney'}, {'name': 'Harry Bridges Plaza (Ferry Building)'}, {'name': 'Embarcadero at Bryant'}, {'name': 'Temporary Transbay Terminal (Howard at Beale)'}, {'name': 'San Francisco City Hall'}, {'name': 'Embarcadero at Sansome'}, {'name': '2nd at Townsend'}, {'name': '2nd at South Park'}, {'name': 'Steuart at Market'}]
bike_1	Which start station had the most trips starting from August? Give me the name and id of the station.	SELECT start_station_name , start_station_id FROM trip WHERE start_date LIKE "8/%" GROUP BY start_station_name ORDER BY COUNT(*) DESC LIMIT 1	SELECT start_station_name , start_station_id FROM trip WHERE start_date LIKE "8/%" GROUP BY start_station_name ORDER BY COUNT(*) DESC LIMIT 1	[{'start_station_name': 'San Francisco Caltrain 2 (330 Townsend)', 'start_station_id': 69}]
bike_1	What are the start station's name and id for the one that had the most start trips in August?	SELECT start_station_name , start_station_id FROM trip WHERE start_date LIKE "8/%" GROUP BY start_station_name ORDER BY COUNT(*) DESC LIMIT 1	SELECT start_station_name , start_station_id FROM trip WHERE start_date LIKE "8/%" GROUP BY start_station_name ORDER BY COUNT(*) DESC LIMIT 1	[{'start_station_name': 'San Francisco Caltrain 2 (330 Townsend)', 'start_station_id': 69}]
bike_1	Which bike traveled the most often in zip code 94002?	SELECT bike_id FROM trip WHERE zip_code = 94002 GROUP BY bike_id ORDER BY COUNT(*) DESC LIMIT 1	SELECT bike_id FROM trip WHERE zip_code = 94002 GROUP BY bike_id ORDER BY COUNT(*) DESC LIMIT 1	[{'bike_id': 679}]
bike_1	What is the id of the bike that traveled the most in 94002?	SELECT bike_id FROM trip WHERE zip_code = 94002 GROUP BY bike_id ORDER BY COUNT(*) DESC LIMIT 1	SELECT bike_id FROM trip WHERE zip_code = 94002 GROUP BY bike_id ORDER BY COUNT(*) DESC LIMIT 1	[{'bike_id': 679}]
bike_1	How many days had both mean humidity above 50 and mean visibility above 8?	SELECT COUNT(*) FROM weather WHERE mean_humidity > 50 AND mean_visibility_miles > 8	SELECT COUNT(*) FROM weather WHERE mean_humidity > 50 AND mean_visibility_miles > 8	[{'COUNT(*)': 3013}]
bike_1	What is the number of days that had an average humity above 50 and an average visibility above 8?	SELECT COUNT(*) FROM weather WHERE mean_humidity > 50 AND mean_visibility_miles > 8	SELECT COUNT(*) FROM weather WHERE mean_humidity > 50 AND mean_visibility_miles > 8	[{'COUNT(*)': 3013}]
bike_1	What is the latitude, longitude, city of the station from which the shortest trip started?	SELECT T1.lat , T1.long , T1.city FROM station AS T1 JOIN trip AS T2 ON T1.id = T2.start_station_id ORDER BY T2.duration LIMIT 1	SELECT T1.lat , T1.long , T1.city FROM station AS T1 JOIN trip AS T2 ON T1.id = T2.start_station_id ORDER BY T2.duration LIMIT 1	[{'lat': 37.776617, 'long': -122.39526000000001, 'city': 'San Francisco'}]