target-benchmark/spider-queries · Datasets at Hugging Face

query_id int64 0 7k	database_id stringclasses 140 values	table_id listlengths 1 5	query stringlengths 16 224	answer stringlengths 18 577	difficulty stringclasses 4 values
100	student_assessment	[ "student_course_registrations", "student_course_attendance" ]	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	hard
101	student_assessment	[ "student_course_registrations", "student_course_attendance" ]	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	hard
102	student_assessment	[ "student_course_registrations", "student_course_attendance" ]	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	hard
103	student_assessment	[ "student_course_attendance", "student_course_registrations" ]	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)	hard
104	student_assessment	[ "student_course_attendance", "student_course_registrations" ]	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)	hard
105	student_assessment	[ "student_course_registrations", "courses" ]	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	hard
106	student_assessment	[ "student_course_registrations", "courses" ]	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	hard
107	student_assessment	[ "student_course_attendance", "courses" ]	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	hard
108	student_assessment	[ "student_course_attendance", "courses" ]	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	hard
109	bike_1	[ "weather" ]	Give me the dates when the max temperature was higher than 85.	SELECT date FROM weather WHERE max_temperature_f > 85	easy
110	bike_1	[ "weather" ]	What are the dates with a maximum temperature higher than 85?	SELECT date FROM weather WHERE max_temperature_f > 85	easy
111	bike_1	[ "station" ]	What are the names of stations that have latitude lower than 37.5?	SELECT name FROM station WHERE lat < 37.5	easy
112	bike_1	[ "station" ]	What are the names of all stations with a latitude smaller than 37.5?	SELECT name FROM station WHERE lat < 37.5	easy
113	bike_1	[ "station" ]	For each city, return the highest latitude among its stations.	SELECT city , max(lat) FROM station GROUP BY city	medium
114	bike_1	[ "station" ]	For each city, what is the highest latitude for its stations?	SELECT city , max(lat) FROM station GROUP BY city	medium
115	bike_1	[ "trip" ]	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	medium
116	bike_1	[ "trip" ]	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	medium
117	bike_1	[ "station" ]	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"	medium
118	bike_1	[ "station" ]	What is the average latitude and longitude in San Jose?	SELECT avg(lat) , avg(long) FROM station WHERE city = "San Jose"	medium
119	bike_1	[ "trip" ]	What is the id of the trip that has the shortest duration?	SELECT id FROM trip ORDER BY duration LIMIT 1	medium
120	bike_1	[ "trip" ]	What is the id of the shortest trip?	SELECT id FROM trip ORDER BY duration LIMIT 1	medium
121	bike_1	[ "trip" ]	What is the total and maximum duration of trips with bike id 636?	SELECT sum(duration) , max(duration) FROM trip WHERE bike_id = 636	medium
122	bike_1	[ "trip" ]	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	medium
123	bike_1	[ "weather" ]	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	hard
124	bike_1	[ "weather" ]	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	hard
125	bike_1	[ "trip" ]	From the trip record, find the number of unique bikes.	SELECT count(DISTINCT bike_id) FROM trip	easy
126	bike_1	[ "trip" ]	How many different bike ids are there?	SELECT count(DISTINCT bike_id) FROM trip	easy
127	bike_1	[ "station" ]	What is the number of distinct cities the stations are located at?	SELECT count(DISTINCT city) FROM station	easy
128	bike_1	[ "station" ]	How many different cities have these stations?	SELECT count(DISTINCT city) FROM station	easy
129	bike_1	[ "station" ]	How many stations does Mountain View city has?	SELECT COUNT(*) FROM station WHERE city = "Mountain View"	easy
130	bike_1	[ "station" ]	How many stations are in Mountain View?	SELECT COUNT(*) FROM station WHERE city = "Mountain View"	easy
131	bike_1	[ "status", "station" ]	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	medium
132	bike_1	[ "status", "station" ]	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	medium
133	bike_1	[ "trip" ]	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	extra
134	bike_1	[ "trip" ]	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	extra
135	bike_1	[ "trip" ]	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	extra
136	bike_1	[ "trip" ]	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	extra
137	bike_1	[ "weather" ]	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	medium
138	bike_1	[ "weather" ]	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	medium
139	bike_1	[ "trip", "station" ]	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	hard
140	bike_1	[ "trip", "station" ]	What is the latitude, longitude, and city of the station from which the trip with smallest duration 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	hard
141	bike_1	[ "status", "station" ]	What are the ids of stations that are located in San Francisco and have average bike availability above 10.	SELECT id FROM station WHERE city = "San Francisco" INTERSECT SELECT station_id FROM status GROUP BY station_id HAVING avg(bikes_available) > 10	hard
142	bike_1	[ "status", "station" ]	What are the ids of the stations in San Francisco that normally have more than 10 bikes available?	SELECT id FROM station WHERE city = "San Francisco" INTERSECT SELECT station_id FROM status GROUP BY station_id HAVING avg(bikes_available) > 10	hard
143	bike_1	[ "status", "station" ]	What are the names and ids of stations that had more than 14 bikes available on average or were installed in December?	SELECT T1.name , T1.id FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id GROUP BY T2.station_id HAVING avg(T2.bikes_available) > 14 UNION SELECT name , id FROM station WHERE installation_date LIKE "12/%"	extra
144	bike_1	[ "status", "station" ]	What are the names and ids of all stations that have more than 14 bikes available on average or had bikes installed in December?	SELECT T1.name , T1.id FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id GROUP BY T2.station_id HAVING avg(T2.bikes_available) > 14 UNION SELECT name , id FROM station WHERE installation_date LIKE "12/%"	extra
145	bike_1	[ "weather" ]	What is the 3 most common cloud cover rates in the region of zip code 94107?	SELECT cloud_cover FROM weather WHERE zip_code = 94107 GROUP BY cloud_cover ORDER BY COUNT (*) DESC LIMIT 3	extra
146	bike_1	[ "weather" ]	What are the 3 most common cloud covers in the zip code of 94107?	SELECT cloud_cover FROM weather WHERE zip_code = 94107 GROUP BY cloud_cover ORDER BY COUNT (*) DESC LIMIT 3	extra
147	bike_1	[ "weather" ]	What is the zip code in which the average mean sea level pressure is the lowest?	SELECT zip_code FROM weather GROUP BY zip_code ORDER BY avg(mean_sea_level_pressure_inches) LIMIT 1	hard
148	bike_1	[ "weather" ]	What is the zip code that has the lowest average mean sea level pressure?	SELECT zip_code FROM weather GROUP BY zip_code ORDER BY avg(mean_sea_level_pressure_inches) LIMIT 1	hard
149	bike_1	[ "status", "station" ]	What is the average bike availability in stations that are not located in Palo Alto?	SELECT avg(bikes_available) FROM status WHERE station_id NOT IN (SELECT id FROM station WHERE city = "Palo Alto")	extra
150	bike_1	[ "status", "station" ]	What is the average bike availablility for stations not in Palo Alto?	SELECT avg(bikes_available) FROM status WHERE station_id NOT IN (SELECT id FROM station WHERE city = "Palo Alto")	extra
151	bike_1	[ "status", "station" ]	What is the average longitude of stations that never had bike availability more than 10?	SELECT avg(long) FROM station WHERE id NOT IN (SELECT station_id FROM status GROUP BY station_id HAVING max(bikes_available) > 10)	extra
152	bike_1	[ "status", "station" ]	What is the mean longitude for all stations that have never had more than 10 bikes available?	SELECT avg(long) FROM station WHERE id NOT IN (SELECT station_id FROM status GROUP BY station_id HAVING max(bikes_available) > 10)	extra
153	bike_1	[ "weather" ]	When and in what zip code did max temperature reach 80?	SELECT date , zip_code FROM weather WHERE max_temperature_f >= 80	medium
154	bike_1	[ "weather" ]	What zip codes have a station with a max temperature greater than or equal to 80 and when did it reach that temperature?	SELECT date , zip_code FROM weather WHERE max_temperature_f >= 80	medium
155	bike_1	[ "trip", "weather" ]	Give me ids for all the trip that took place in a zip code area with average mean temperature above 60.	SELECT T1.id FROM trip AS T1 JOIN weather AS T2 ON T1.zip_code = T2.zip_code GROUP BY T2.zip_code HAVING avg(T2.mean_temperature_f) > 60	medium
156	bike_1	[ "trip", "weather" ]	For each zip code, find the ids of all trips that have a higher average mean temperature above 60?	SELECT T1.id FROM trip AS T1 JOIN weather AS T2 ON T1.zip_code = T2.zip_code GROUP BY T2.zip_code HAVING avg(T2.mean_temperature_f) > 60	medium
157	bike_1	[ "weather" ]	For each zip code, return how many times max wind speed reached 25?	SELECT zip_code , count(*) FROM weather WHERE max_wind_Speed_mph >= 25 GROUP BY zip_code	medium
158	bike_1	[ "weather" ]	For each zip code, how many times has the maximum wind speed reached 25 mph?	SELECT zip_code , count(*) FROM weather WHERE max_wind_Speed_mph >= 25 GROUP BY zip_code	medium
159	bike_1	[ "weather" ]	On which day and in which zip code was the min dew point lower than any day in zip code 94107?	SELECT date , zip_code FROM weather WHERE min_dew_point_f < (SELECT min(min_dew_point_f) FROM weather WHERE zip_code = 94107)	extra
160	bike_1	[ "weather" ]	Which days had a minimum dew point smaller than any day in zip code 94107, and in which zip codes were those measurements taken?	SELECT date , zip_code FROM weather WHERE min_dew_point_f < (SELECT min(min_dew_point_f) FROM weather WHERE zip_code = 94107)	extra
161	bike_1	[ "trip", "station" ]	For each trip, return its ending station's installation date.	SELECT T1.id , T2.installation_date FROM trip AS T1 JOIN station AS T2 ON T1.end_station_id = T2.id	medium
162	bike_1	[ "trip", "station" ]	What is the installation date for each ending station on all the trips?	SELECT T1.id , T2.installation_date FROM trip AS T1 JOIN station AS T2 ON T1.end_station_id = T2.id	medium
163	bike_1	[ "trip", "station" ]	Which trip started from the station with the largest dock count? Give me the trip id.	SELECT T1.id FROM trip AS T1 JOIN station AS T2 ON T1.start_station_id = T2.id ORDER BY T2.dock_count DESC LIMIT 1	hard
164	bike_1	[ "trip", "station" ]	What is the id of the trip that started from the station with the highest dock count?	SELECT T1.id FROM trip AS T1 JOIN station AS T2 ON T1.start_station_id = T2.id ORDER BY T2.dock_count DESC LIMIT 1	hard
165	bike_1	[ "trip", "station" ]	Count the number of trips that did not end in San Francisco city.	SELECT count(*) FROM trip AS T1 JOIN station AS T2 ON T1.end_station_id = T2.id WHERE T2.city != "San Francisco"	medium
166	bike_1	[ "trip", "station" ]	How many trips did not end in San Francisco?	SELECT count(*) FROM trip AS T1 JOIN station AS T2 ON T1.end_station_id = T2.id WHERE T2.city != "San Francisco"	medium
167	bike_1	[ "weather" ]	In zip code 94107, on which day neither Fog nor Rain was not observed?	SELECT date FROM weather WHERE zip_code = 94107 AND EVENTS != "Fog" AND EVENTS != "Rain"	medium
168	bike_1	[ "weather" ]	On which day has it neither been foggy nor rained in the zip code of 94107?	SELECT date FROM weather WHERE zip_code = 94107 AND EVENTS != "Fog" AND EVENTS != "Rain"	medium
169	bike_1	[ "status", "station" ]	What are the ids of stations that have latitude above 37.4 and never had bike availability below 7?	SELECT id FROM station WHERE lat > 37.4 EXCEPT SELECT station_id FROM status GROUP BY station_id HAVING min(bikes_available) < 7	hard
170	bike_1	[ "status", "station" ]	What are the ids of all stations that have a latitude above 37.4 and have never had less than 7 bikes available?	SELECT id FROM station WHERE lat > 37.4 EXCEPT SELECT station_id FROM status GROUP BY station_id HAVING min(bikes_available) < 7	hard
171	bike_1	[ "status", "station" ]	What are names of stations that have average bike availability above 10 and are not located in San Jose city?	SELECT T1.name FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id GROUP BY T2.station_id HAVING avg(bikes_available) > 10 EXCEPT SELECT name FROM station WHERE city = "San Jose"	extra
172	bike_1	[ "status", "station" ]	What are the names of all stations that have more than 10 bikes available and are not located in San Jose?	SELECT T1.name FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id GROUP BY T2.station_id HAVING avg(bikes_available) > 10 EXCEPT SELECT name FROM station WHERE city = "San Jose"	extra
173	bike_1	[ "station" ]	What are the name, latitude, and city of the station with the lowest latitude?	SELECT name , lat , city FROM station ORDER BY lat LIMIT 1	medium
174	bike_1	[ "station" ]	What is the name, latitude, and city of the station that is located the furthest South?	SELECT name , lat , city FROM station ORDER BY lat LIMIT 1	medium
175	bike_1	[ "weather" ]	What are the date, mean temperature and mean humidity for the top 3 days with the largest max gust speeds?	SELECT date , mean_temperature_f , mean_humidity FROM weather ORDER BY max_gust_speed_mph DESC LIMIT 3	medium
176	bike_1	[ "weather" ]	What is the date, average temperature and mean humidity for the days with the 3 largest maximum gust speeds?	SELECT date , mean_temperature_f , mean_humidity FROM weather ORDER BY max_gust_speed_mph DESC LIMIT 3	medium
177	bike_1	[ "station" ]	List the name and the number of stations for all the cities that have at least 15 stations.	SELECT city , COUNT() FROM station GROUP BY city HAVING COUNT() >= 15	medium
178	bike_1	[ "station" ]	What is the name of every city that has at least 15 stations and how many stations does it have?	SELECT city , COUNT() FROM station GROUP BY city HAVING COUNT() >= 15	medium
179	bike_1	[ "trip" ]	Find the ids and names of stations from which at least 200 trips started.	SELECT start_station_id , start_station_name FROM trip GROUP BY start_station_name HAVING COUNT(*) >= 200	medium
180	bike_1	[ "trip" ]	What are the ids and names of all start stations that were the beginning of at least 200 trips?	SELECT start_station_id , start_station_name FROM trip GROUP BY start_station_name HAVING COUNT(*) >= 200	medium
181	bike_1	[ "weather" ]	Find the zip code in which the average mean visibility is lower than 10.	SELECT zip_code FROM weather GROUP BY zip_code HAVING avg(mean_visibility_miles) < 10	easy
182	bike_1	[ "weather" ]	For each zip code, select all those that have an average mean visiblity below 10.	SELECT zip_code FROM weather GROUP BY zip_code HAVING avg(mean_visibility_miles) < 10	easy
183	bike_1	[ "station" ]	List all the cities in a decreasing order of each city's stations' highest latitude.	SELECT city FROM station GROUP BY city ORDER BY max(lat) DESC	medium
184	bike_1	[ "station" ]	For each city, list their names in decreasing order by their highest station latitude.	SELECT city FROM station GROUP BY city ORDER BY max(lat) DESC	medium
185	bike_1	[ "weather" ]	What are the dates that had the top 5 cloud cover rates? Also tell me the cloud cover rate.	SELECT date , cloud_cover FROM weather ORDER BY cloud_cover DESC LIMIT 5	medium
186	bike_1	[ "weather" ]	What are the dates that have the 5 highest cloud cover rates and what are the rates?	SELECT date , cloud_cover FROM weather ORDER BY cloud_cover DESC LIMIT 5	medium
187	bike_1	[ "trip" ]	What are the ids and durations of the trips with the top 3 durations?	SELECT id , duration FROM trip ORDER BY duration DESC LIMIT 3	medium
188	bike_1	[ "trip" ]	What are the ids of the trips that lasted the longest and how long did they last?	SELECT id , duration FROM trip ORDER BY duration DESC LIMIT 3	medium
189	bike_1	[ "trip", "station" ]	For each station, return its longitude and the average duration of trips that started from the station.	SELECT T1.name , T1.long , avg(T2.duration) FROM station AS T1 JOIN trip AS T2 ON T1.id = T2.start_station_id GROUP BY T2.start_station_id	medium
190	bike_1	[ "trip", "station" ]	For each start station id, what is its name, longitude and average duration of trips started there?	SELECT T1.name , T1.long , avg(T2.duration) FROM station AS T1 JOIN trip AS T2 ON T1.id = T2.start_station_id GROUP BY T2.start_station_id	medium
191	bike_1	[ "trip", "station" ]	For each station, find its latitude and the minimum duration of trips that ended at the station.	SELECT T1.name , T1.lat , min(T2.duration) FROM station AS T1 JOIN trip AS T2 ON T1.id = T2.end_station_id GROUP BY T2.end_station_id	medium
192	bike_1	[ "trip", "station" ]	For each end station id, what is its name, latitude, and minimum duration for trips ended there?	SELECT T1.name , T1.lat , min(T2.duration) FROM station AS T1 JOIN trip AS T2 ON T1.id = T2.end_station_id GROUP BY T2.end_station_id	medium
193	bike_1	[ "trip" ]	List all the distinct stations from which a trip of duration below 100 started.	SELECT DISTINCT start_station_name FROM trip WHERE duration < 100	easy
194	bike_1	[ "trip" ]	What are all the different start station names for a trip that lasted less than 100?	SELECT DISTINCT start_station_name FROM trip WHERE duration < 100	easy
195	bike_1	[ "weather" ]	Find all the zip codes in which the max dew point have never reached 70.	SELECT DISTINCT zip_code FROM weather EXCEPT SELECT DISTINCT zip_code FROM weather WHERE max_dew_point_f >= 70	hard
196	bike_1	[ "weather" ]	What are all the different zip codes that have a maximum dew point that was always below 70?	SELECT DISTINCT zip_code FROM weather EXCEPT SELECT DISTINCT zip_code FROM weather WHERE max_dew_point_f >= 70	hard
197	bike_1	[ "trip" ]	Find the id for the trips that lasted at least as long as the average duration of trips in zip code 94103.	SELECT id FROM trip WHERE duration >= (SELECT avg(duration) FROM trip WHERE zip_code = 94103)	hard
198	bike_1	[ "trip" ]	What are the ids of all trips that had a duration as long as the average trip duration in the zip code 94103?	SELECT id FROM trip WHERE duration >= (SELECT avg(duration) FROM trip WHERE zip_code = 94103)	hard
199	bike_1	[ "weather" ]	What are the dates in which the mean sea level pressure was between 30.3 and 31?	SELECT date FROM weather WHERE mean_sea_level_pressure_inches BETWEEN 30.3 AND 31	easy

100

student_assessment

[ "student_course_registrations", "student_course_attendance" ]

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

hard

101

student_assessment

[ "student_course_registrations", "student_course_attendance" ]

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

hard

102

student_assessment

[ "student_course_registrations", "student_course_attendance" ]

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

hard

103

student_assessment

[ "student_course_attendance", "student_course_registrations" ]

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)

hard

104

student_assessment

[ "student_course_attendance", "student_course_registrations" ]

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)

hard

105

student_assessment

[ "student_course_registrations", "courses" ]

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

hard

106

student_assessment

[ "student_course_registrations", "courses" ]

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

hard

107

student_assessment

[ "student_course_attendance", "courses" ]

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

hard

108

student_assessment

[ "student_course_attendance", "courses" ]

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

hard

109

bike_1

[ "weather" ]

Give me the dates when the max temperature was higher than 85.

SELECT date FROM weather WHERE max_temperature_f > 85

easy

110

bike_1

[ "weather" ]

What are the dates with a maximum temperature higher than 85?

SELECT date FROM weather WHERE max_temperature_f > 85

easy

111

bike_1

[ "station" ]

What are the names of stations that have latitude lower than 37.5?

SELECT name FROM station WHERE lat < 37.5

easy

112

bike_1

[ "station" ]

What are the names of all stations with a latitude smaller than 37.5?

SELECT name FROM station WHERE lat < 37.5

easy

113

bike_1

[ "station" ]

For each city, return the highest latitude among its stations.

SELECT city , max(lat) FROM station GROUP BY city

medium

114

bike_1

[ "station" ]

For each city, what is the highest latitude for its stations?

SELECT city , max(lat) FROM station GROUP BY city

medium

115

bike_1

[ "trip" ]

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

medium

116

bike_1

[ "trip" ]

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

medium

117

bike_1

[ "station" ]

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"

medium

118

bike_1

[ "station" ]

What is the average latitude and longitude in San Jose?

SELECT avg(lat) , avg(long) FROM station WHERE city = "San Jose"

medium

119

bike_1

[ "trip" ]

What is the id of the trip that has the shortest duration?

SELECT id FROM trip ORDER BY duration LIMIT 1

medium

120

bike_1

[ "trip" ]

What is the id of the shortest trip?

SELECT id FROM trip ORDER BY duration LIMIT 1

medium

121

bike_1

[ "trip" ]

What is the total and maximum duration of trips with bike id 636?

SELECT sum(duration) , max(duration) FROM trip WHERE bike_id = 636

medium

122

bike_1

[ "trip" ]

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

medium

123

bike_1

[ "weather" ]

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

hard

124

bike_1

[ "weather" ]

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

hard

125

bike_1

[ "trip" ]

From the trip record, find the number of unique bikes.

SELECT count(DISTINCT bike_id) FROM trip

easy

126

bike_1

[ "trip" ]

How many different bike ids are there?

SELECT count(DISTINCT bike_id) FROM trip

easy

127

bike_1

[ "station" ]

What is the number of distinct cities the stations are located at?

SELECT count(DISTINCT city) FROM station

easy

128

bike_1

[ "station" ]

How many different cities have these stations?

SELECT count(DISTINCT city) FROM station

easy

129

bike_1

[ "station" ]

How many stations does Mountain View city has?

SELECT COUNT(*) FROM station WHERE city = "Mountain View"

easy

130

bike_1

[ "station" ]

How many stations are in Mountain View?

SELECT COUNT(*) FROM station WHERE city = "Mountain View"

easy

131

bike_1

[ "status", "station" ]

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

medium

132

bike_1

[ "status", "station" ]

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

medium

133

bike_1

[ "trip" ]

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

extra

134

bike_1

[ "trip" ]

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

extra

135

bike_1

[ "trip" ]

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

extra

136

bike_1

[ "trip" ]

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

extra

137

bike_1

[ "weather" ]

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

medium

138

bike_1

[ "weather" ]

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

medium

139

bike_1

[ "trip", "station" ]

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

hard

140

bike_1

[ "trip", "station" ]

What is the latitude, longitude, and city of the station from which the trip with smallest duration 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

hard

141

bike_1

[ "status", "station" ]

What are the ids of stations that are located in San Francisco and have average bike availability above 10.

SELECT id FROM station WHERE city = "San Francisco" INTERSECT SELECT station_id FROM status GROUP BY station_id HAVING avg(bikes_available) > 10

hard

142

bike_1

[ "status", "station" ]

What are the ids of the stations in San Francisco that normally have more than 10 bikes available?

SELECT id FROM station WHERE city = "San Francisco" INTERSECT SELECT station_id FROM status GROUP BY station_id HAVING avg(bikes_available) > 10

hard

143

bike_1

[ "status", "station" ]

What are the names and ids of stations that had more than 14 bikes available on average or were installed in December?

SELECT T1.name , T1.id FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id GROUP BY T2.station_id HAVING avg(T2.bikes_available) > 14 UNION SELECT name , id FROM station WHERE installation_date LIKE "12/%"

extra

144

bike_1

[ "status", "station" ]

What are the names and ids of all stations that have more than 14 bikes available on average or had bikes installed in December?

SELECT T1.name , T1.id FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id GROUP BY T2.station_id HAVING avg(T2.bikes_available) > 14 UNION SELECT name , id FROM station WHERE installation_date LIKE "12/%"

extra

145

bike_1

[ "weather" ]

What is the 3 most common cloud cover rates in the region of zip code 94107?

SELECT cloud_cover FROM weather WHERE zip_code = 94107 GROUP BY cloud_cover ORDER BY COUNT (*) DESC LIMIT 3

extra

146

bike_1

[ "weather" ]

What are the 3 most common cloud covers in the zip code of 94107?

SELECT cloud_cover FROM weather WHERE zip_code = 94107 GROUP BY cloud_cover ORDER BY COUNT (*) DESC LIMIT 3

extra

147

bike_1

[ "weather" ]

What is the zip code in which the average mean sea level pressure is the lowest?

SELECT zip_code FROM weather GROUP BY zip_code ORDER BY avg(mean_sea_level_pressure_inches) LIMIT 1

hard

148

bike_1

[ "weather" ]

What is the zip code that has the lowest average mean sea level pressure?

SELECT zip_code FROM weather GROUP BY zip_code ORDER BY avg(mean_sea_level_pressure_inches) LIMIT 1

hard

149

bike_1

[ "status", "station" ]

What is the average bike availability in stations that are not located in Palo Alto?

SELECT avg(bikes_available) FROM status WHERE station_id NOT IN (SELECT id FROM station WHERE city = "Palo Alto")

extra

150

bike_1

[ "status", "station" ]

What is the average bike availablility for stations not in Palo Alto?

SELECT avg(bikes_available) FROM status WHERE station_id NOT IN (SELECT id FROM station WHERE city = "Palo Alto")

extra

151

bike_1

[ "status", "station" ]

What is the average longitude of stations that never had bike availability more than 10?

SELECT avg(long) FROM station WHERE id NOT IN (SELECT station_id FROM status GROUP BY station_id HAVING max(bikes_available) > 10)

extra

152

bike_1

[ "status", "station" ]

What is the mean longitude for all stations that have never had more than 10 bikes available?

SELECT avg(long) FROM station WHERE id NOT IN (SELECT station_id FROM status GROUP BY station_id HAVING max(bikes_available) > 10)

extra

153

bike_1

[ "weather" ]

When and in what zip code did max temperature reach 80?

SELECT date , zip_code FROM weather WHERE max_temperature_f >= 80

medium

154

bike_1

[ "weather" ]

What zip codes have a station with a max temperature greater than or equal to 80 and when did it reach that temperature?

SELECT date , zip_code FROM weather WHERE max_temperature_f >= 80

medium

155

bike_1

[ "trip", "weather" ]

Give me ids for all the trip that took place in a zip code area with average mean temperature above 60.

SELECT T1.id FROM trip AS T1 JOIN weather AS T2 ON T1.zip_code = T2.zip_code GROUP BY T2.zip_code HAVING avg(T2.mean_temperature_f) > 60

medium

156

bike_1

[ "trip", "weather" ]

For each zip code, find the ids of all trips that have a higher average mean temperature above 60?

SELECT T1.id FROM trip AS T1 JOIN weather AS T2 ON T1.zip_code = T2.zip_code GROUP BY T2.zip_code HAVING avg(T2.mean_temperature_f) > 60

medium

157

bike_1

[ "weather" ]

For each zip code, return how many times max wind speed reached 25?

SELECT zip_code , count(*) FROM weather WHERE max_wind_Speed_mph >= 25 GROUP BY zip_code

medium

158

bike_1

[ "weather" ]

For each zip code, how many times has the maximum wind speed reached 25 mph?

SELECT zip_code , count(*) FROM weather WHERE max_wind_Speed_mph >= 25 GROUP BY zip_code

medium

159

bike_1

[ "weather" ]

On which day and in which zip code was the min dew point lower than any day in zip code 94107?

SELECT date , zip_code FROM weather WHERE min_dew_point_f < (SELECT min(min_dew_point_f) FROM weather WHERE zip_code = 94107)

extra

160

bike_1

[ "weather" ]

Which days had a minimum dew point smaller than any day in zip code 94107, and in which zip codes were those measurements taken?

SELECT date , zip_code FROM weather WHERE min_dew_point_f < (SELECT min(min_dew_point_f) FROM weather WHERE zip_code = 94107)

extra

161

bike_1

[ "trip", "station" ]

For each trip, return its ending station's installation date.

SELECT T1.id , T2.installation_date FROM trip AS T1 JOIN station AS T2 ON T1.end_station_id = T2.id

medium

162

bike_1

[ "trip", "station" ]

What is the installation date for each ending station on all the trips?

SELECT T1.id , T2.installation_date FROM trip AS T1 JOIN station AS T2 ON T1.end_station_id = T2.id

medium

163

bike_1

[ "trip", "station" ]

Which trip started from the station with the largest dock count? Give me the trip id.

SELECT T1.id FROM trip AS T1 JOIN station AS T2 ON T1.start_station_id = T2.id ORDER BY T2.dock_count DESC LIMIT 1

hard

164

bike_1

[ "trip", "station" ]

What is the id of the trip that started from the station with the highest dock count?

SELECT T1.id FROM trip AS T1 JOIN station AS T2 ON T1.start_station_id = T2.id ORDER BY T2.dock_count DESC LIMIT 1

hard

165

bike_1

[ "trip", "station" ]

Count the number of trips that did not end in San Francisco city.

SELECT count(*) FROM trip AS T1 JOIN station AS T2 ON T1.end_station_id = T2.id WHERE T2.city != "San Francisco"

medium

166

bike_1

[ "trip", "station" ]

How many trips did not end in San Francisco?

SELECT count(*) FROM trip AS T1 JOIN station AS T2 ON T1.end_station_id = T2.id WHERE T2.city != "San Francisco"

medium

167

bike_1

[ "weather" ]

In zip code 94107, on which day neither Fog nor Rain was not observed?

SELECT date FROM weather WHERE zip_code = 94107 AND EVENTS != "Fog" AND EVENTS != "Rain"

medium

168

bike_1

[ "weather" ]

On which day has it neither been foggy nor rained in the zip code of 94107?

SELECT date FROM weather WHERE zip_code = 94107 AND EVENTS != "Fog" AND EVENTS != "Rain"

medium

169

bike_1

[ "status", "station" ]

What are the ids of stations that have latitude above 37.4 and never had bike availability below 7?

SELECT id FROM station WHERE lat > 37.4 EXCEPT SELECT station_id FROM status GROUP BY station_id HAVING min(bikes_available) < 7

hard

170

bike_1

[ "status", "station" ]

What are the ids of all stations that have a latitude above 37.4 and have never had less than 7 bikes available?

SELECT id FROM station WHERE lat > 37.4 EXCEPT SELECT station_id FROM status GROUP BY station_id HAVING min(bikes_available) < 7

hard

171

bike_1

[ "status", "station" ]

What are names of stations that have average bike availability above 10 and are not located in San Jose city?

SELECT T1.name FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id GROUP BY T2.station_id HAVING avg(bikes_available) > 10 EXCEPT SELECT name FROM station WHERE city = "San Jose"

extra

172

bike_1

[ "status", "station" ]

What are the names of all stations that have more than 10 bikes available and are not located in San Jose?

SELECT T1.name FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id GROUP BY T2.station_id HAVING avg(bikes_available) > 10 EXCEPT SELECT name FROM station WHERE city = "San Jose"

extra

173

bike_1

[ "station" ]

What are the name, latitude, and city of the station with the lowest latitude?

SELECT name , lat , city FROM station ORDER BY lat LIMIT 1

medium

174

bike_1

[ "station" ]

What is the name, latitude, and city of the station that is located the furthest South?

SELECT name , lat , city FROM station ORDER BY lat LIMIT 1

medium

175

bike_1

[ "weather" ]

What are the date, mean temperature and mean humidity for the top 3 days with the largest max gust speeds?

SELECT date , mean_temperature_f , mean_humidity FROM weather ORDER BY max_gust_speed_mph DESC LIMIT 3

medium

176

bike_1

[ "weather" ]

What is the date, average temperature and mean humidity for the days with the 3 largest maximum gust speeds?

SELECT date , mean_temperature_f , mean_humidity FROM weather ORDER BY max_gust_speed_mph DESC LIMIT 3

medium

177

bike_1

[ "station" ]

List the name and the number of stations for all the cities that have at least 15 stations.

SELECT city , COUNT(*) FROM station GROUP BY city HAVING COUNT(*) >= 15

medium

178

bike_1

[ "station" ]

What is the name of every city that has at least 15 stations and how many stations does it have?

SELECT city , COUNT(*) FROM station GROUP BY city HAVING COUNT(*) >= 15

medium

179

bike_1

[ "trip" ]

Find the ids and names of stations from which at least 200 trips started.

SELECT start_station_id , start_station_name FROM trip GROUP BY start_station_name HAVING COUNT(*) >= 200

medium

180

bike_1

[ "trip" ]

What are the ids and names of all start stations that were the beginning of at least 200 trips?

SELECT start_station_id , start_station_name FROM trip GROUP BY start_station_name HAVING COUNT(*) >= 200

medium

181

bike_1

[ "weather" ]

Find the zip code in which the average mean visibility is lower than 10.

SELECT zip_code FROM weather GROUP BY zip_code HAVING avg(mean_visibility_miles) < 10

easy

182

bike_1

[ "weather" ]

For each zip code, select all those that have an average mean visiblity below 10.

SELECT zip_code FROM weather GROUP BY zip_code HAVING avg(mean_visibility_miles) < 10

easy

183

bike_1

[ "station" ]

List all the cities in a decreasing order of each city's stations' highest latitude.

SELECT city FROM station GROUP BY city ORDER BY max(lat) DESC

medium

184

bike_1

[ "station" ]

For each city, list their names in decreasing order by their highest station latitude.

SELECT city FROM station GROUP BY city ORDER BY max(lat) DESC

medium

185

bike_1

[ "weather" ]

What are the dates that had the top 5 cloud cover rates? Also tell me the cloud cover rate.

SELECT date , cloud_cover FROM weather ORDER BY cloud_cover DESC LIMIT 5

medium

186

bike_1

[ "weather" ]

What are the dates that have the 5 highest cloud cover rates and what are the rates?

SELECT date , cloud_cover FROM weather ORDER BY cloud_cover DESC LIMIT 5

medium

187

bike_1

[ "trip" ]

What are the ids and durations of the trips with the top 3 durations?

SELECT id , duration FROM trip ORDER BY duration DESC LIMIT 3

medium

188

bike_1

[ "trip" ]

What are the ids of the trips that lasted the longest and how long did they last?

SELECT id , duration FROM trip ORDER BY duration DESC LIMIT 3

medium

189

bike_1

[ "trip", "station" ]

For each station, return its longitude and the average duration of trips that started from the station.

SELECT T1.name , T1.long , avg(T2.duration) FROM station AS T1 JOIN trip AS T2 ON T1.id = T2.start_station_id GROUP BY T2.start_station_id

medium

190

bike_1

[ "trip", "station" ]

For each start station id, what is its name, longitude and average duration of trips started there?

SELECT T1.name , T1.long , avg(T2.duration) FROM station AS T1 JOIN trip AS T2 ON T1.id = T2.start_station_id GROUP BY T2.start_station_id

medium

191

bike_1

[ "trip", "station" ]

For each station, find its latitude and the minimum duration of trips that ended at the station.

SELECT T1.name , T1.lat , min(T2.duration) FROM station AS T1 JOIN trip AS T2 ON T1.id = T2.end_station_id GROUP BY T2.end_station_id

medium

192

bike_1

[ "trip", "station" ]

For each end station id, what is its name, latitude, and minimum duration for trips ended there?

SELECT T1.name , T1.lat , min(T2.duration) FROM station AS T1 JOIN trip AS T2 ON T1.id = T2.end_station_id GROUP BY T2.end_station_id

medium

193

bike_1

[ "trip" ]

List all the distinct stations from which a trip of duration below 100 started.

SELECT DISTINCT start_station_name FROM trip WHERE duration < 100

easy

194

bike_1

[ "trip" ]

What are all the different start station names for a trip that lasted less than 100?

SELECT DISTINCT start_station_name FROM trip WHERE duration < 100

easy

195

bike_1

[ "weather" ]

Find all the zip codes in which the max dew point have never reached 70.

SELECT DISTINCT zip_code FROM weather EXCEPT SELECT DISTINCT zip_code FROM weather WHERE max_dew_point_f >= 70

hard

196

bike_1

[ "weather" ]

What are all the different zip codes that have a maximum dew point that was always below 70?

SELECT DISTINCT zip_code FROM weather EXCEPT SELECT DISTINCT zip_code FROM weather WHERE max_dew_point_f >= 70

hard

197

bike_1

[ "trip" ]

Find the id for the trips that lasted at least as long as the average duration of trips in zip code 94103.

SELECT id FROM trip WHERE duration >= (SELECT avg(duration) FROM trip WHERE zip_code = 94103)

hard

198

bike_1

[ "trip" ]

What are the ids of all trips that had a duration as long as the average trip duration in the zip code 94103?

SELECT id FROM trip WHERE duration >= (SELECT avg(duration) FROM trip WHERE zip_code = 94103)

hard

199

bike_1

[ "weather" ]

What are the dates in which the mean sea level pressure was between 30.3 and 31?

SELECT date FROM weather WHERE mean_sea_level_pressure_inches BETWEEN 30.3 AND 31

easy