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xlangai
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spider

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student_assessment
SELECT student_id FROM student_course_registrations UNION SELECT student_id FROM student_course_attendance
What are the ids of the students who either registered or attended a course?
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[ "What", "are", "the", "ids", "of", "the", "students", "who", "either", "registered", "or", "attended", "a", "course", "?" ]
student_assessment
SELECT course_id FROM student_course_registrations WHERE student_id = 121 UNION SELECT course_id FROM student_course_attendance WHERE student_id = 121
Find the id of courses which are registered or attended by student whose id is 121?
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[ "Find", "the", "id", "of", "courses", "which", "are", "registered", "or", "attended", "by", "student", "whose", "id", "is", "121", "?" ]
student_assessment
SELECT course_id FROM student_course_registrations WHERE student_id = 121 UNION SELECT course_id FROM student_course_attendance WHERE student_id = 121
What are the ids of the courses that are registered or attended by the student whose id is 121?
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student_assessment
SELECT * FROM student_course_registrations WHERE student_id NOT IN (SELECT student_id FROM student_course_attendance)
What are all info of students who registered courses but not attended courses?
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[ "What", "are", "all", "info", "of", "students", "who", "registered", "courses", "but", "not", "attended", "courses", "?" ]
student_assessment
SELECT * FROM student_course_registrations WHERE student_id NOT IN (SELECT student_id FROM student_course_attendance)
What are all details of the students who registered but did not attend any course?
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student_assessment
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
List the id of students who registered course statistics in the order of registration date.
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student_assessment
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
What are the ids of the students who registered course statistics by order of registration date?
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student_assessment
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
List the id of students who attended statistics courses in the order of attendance date.
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student_assessment
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
What are the ids of the students who attended courses in the statistics department in order of attendance date.
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bike_1
SELECT date FROM weather WHERE max_temperature_f > 85
Give me the dates when the max temperature was higher than 85.
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bike_1
SELECT date FROM weather WHERE max_temperature_f > 85
What are the dates with a maximum temperature higher than 85?
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bike_1
SELECT name FROM station WHERE lat < 37.5
What are the names of stations that have latitude lower than 37.5?
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bike_1
SELECT name FROM station WHERE lat < 37.5
What are the names of all stations with a latitude smaller than 37.5?
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bike_1
SELECT city , max(lat) FROM station GROUP BY city
For each city, return the highest latitude among its stations.
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bike_1
SELECT city , max(lat) FROM station GROUP BY city
For each city, what is the highest latitude for its stations?
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bike_1
SELECT start_station_name , end_station_name FROM trip ORDER BY id LIMIT 3
Give me the start station and end station for the trips with the three oldest id.
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bike_1
SELECT start_station_name , end_station_name FROM trip ORDER BY id LIMIT 3
What is the station station and end station for the trips with the three smallest ids?
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bike_1
SELECT avg(lat) , avg(long) FROM station WHERE city = "San Jose"
What is the average latitude and longitude of stations located in San Jose city?
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bike_1
SELECT avg(lat) , avg(long) FROM station WHERE city = "San Jose"
What is the average latitude and longitude in San Jose?
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bike_1
SELECT id FROM trip ORDER BY duration LIMIT 1
What is the id of the trip that has the shortest duration?
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bike_1
SELECT id FROM trip ORDER BY duration LIMIT 1
What is the id of the shortest trip?
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bike_1
SELECT sum(duration) , max(duration) FROM trip WHERE bike_id = 636
What is the total and maximum duration of trips with bike id 636?
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bike_1
SELECT sum(duration) , max(duration) FROM trip WHERE bike_id = 636
What is the total and maximum duration for all trips with the bike id 636?
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bike_1
SELECT zip_code , avg(mean_temperature_f) FROM weather WHERE date LIKE "8/%" GROUP BY zip_code
For each zip code, return the average mean temperature of August there.
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bike_1
SELECT zip_code , avg(mean_temperature_f) FROM weather WHERE date LIKE "8/%" GROUP BY zip_code
For each zip code, what is the average mean temperature for all dates that start with '8'?
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bike_1
SELECT count(DISTINCT bike_id) FROM trip
From the trip record, find the number of unique bikes.
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bike_1
SELECT count(DISTINCT bike_id) FROM trip
How many different bike ids are there?
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[ "select", "count", "(", "distinct", "bike_id", ")", "from", "trip" ]
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bike_1
SELECT count(DISTINCT city) FROM station
What is the number of distinct cities the stations are located at?
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[ "select", "count", "(", "distinct", "city", ")", "from", "station" ]
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bike_1
SELECT count(DISTINCT city) FROM station
How many different cities have these stations?
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bike_1
SELECT COUNT(*) FROM station WHERE city = "Mountain View"
How many stations does Mountain View city has?
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bike_1
SELECT COUNT(*) FROM station WHERE city = "Mountain View"
How many stations are in Mountain View?
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bike_1
SELECT DISTINCT T1.name FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id WHERE T2.bikes_available = 7
Return the unique name for stations that have ever had 7 bikes available.
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bike_1
SELECT DISTINCT T1.name FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id WHERE T2.bikes_available = 7
What are the different names for each station that has ever had 7 bikes available?
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[ "What", "are", "the", "different", "names", "for", "each", "station", "that", "has", "ever", "had", "7", "bikes", "available", "?" ]
bike_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
Which start station had the most trips starting from August? Give me the name and id of the station.
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bike_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
What are the start station's name and id for the one that had the most start trips in August?
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bike_1
SELECT bike_id FROM trip WHERE zip_code = 94002 GROUP BY bike_id ORDER BY COUNT(*) DESC LIMIT 1
Which bike traveled the most often in zip code 94002?
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[ "Which", "bike", "traveled", "the", "most", "often", "in", "zip", "code", "94002", "?" ]
bike_1
SELECT bike_id FROM trip WHERE zip_code = 94002 GROUP BY bike_id ORDER BY COUNT(*) DESC LIMIT 1
What is the id of the bike that traveled the most in 94002?
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bike_1
SELECT COUNT(*) FROM weather WHERE mean_humidity > 50 AND mean_visibility_miles > 8
How many days had both mean humidity above 50 and mean visibility above 8?
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[ "How", "many", "days", "had", "both", "mean", "humidity", "above", "50", "and", "mean", "visibility", "above", "8", "?" ]
bike_1
SELECT COUNT(*) FROM weather WHERE mean_humidity > 50 AND mean_visibility_miles > 8
What is the number of days that had an average humity above 50 and an average visibility above 8?
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bike_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
What is the latitude, longitude, city of the station from which the shortest trip started?
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bike_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
What is the latitude, longitude, and city of the station from which the trip with smallest duration started?
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bike_1
SELECT id FROM station WHERE city = "San Francisco" INTERSECT SELECT station_id FROM status GROUP BY station_id HAVING avg(bikes_available) > 10
What are the ids of stations that are located in San Francisco and have average bike availability above 10.
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[ "What", "are", "the", "ids", "of", "stations", "that", "are", "located", "in", "San", "Francisco", "and", "have", "average", "bike", "availability", "above", "10", "." ]
bike_1
SELECT id FROM station WHERE city = "San Francisco" INTERSECT SELECT station_id FROM status GROUP BY station_id HAVING avg(bikes_available) > 10
What are the ids of the stations in San Francisco that normally have more than 10 bikes available?
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[ "select", "id", "from", "station", "where", "city", "=", "value", "intersect", "select", "station_id", "from", "status", "group", "by", "station_id", "having", "avg", "(", "bikes_available", ")", ">", "value" ]
[ "What", "are", "the", "ids", "of", "the", "stations", "in", "San", "Francisco", "that", "normally", "have", "more", "than", "10", "bikes", "available", "?" ]
bike_1
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/%"
What are the names and ids of stations that had more than 14 bikes available on average or were installed in December?
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bike_1
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/%"
What are the names and ids of all stations that have more than 14 bikes available on average or had bikes installed in December?
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bike_1
SELECT cloud_cover FROM weather WHERE zip_code = 94107 GROUP BY cloud_cover ORDER BY COUNT (*) DESC LIMIT 3
What is the 3 most common cloud cover rates in the region of zip code 94107?
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[ "What", "is", "the", "3", "most", "common", "cloud", "cover", "rates", "in", "the", "region", "of", "zip", "code", "94107", "?" ]
bike_1
SELECT cloud_cover FROM weather WHERE zip_code = 94107 GROUP BY cloud_cover ORDER BY COUNT (*) DESC LIMIT 3
What are the 3 most common cloud covers in the zip code of 94107?
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[ "What", "are", "the", "3", "most", "common", "cloud", "covers", "in", "the", "zip", "code", "of", "94107", "?" ]
bike_1
SELECT zip_code FROM weather GROUP BY zip_code ORDER BY avg(mean_sea_level_pressure_inches) LIMIT 1
What is the zip code in which the average mean sea level pressure is the lowest?
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bike_1
SELECT zip_code FROM weather GROUP BY zip_code ORDER BY avg(mean_sea_level_pressure_inches) LIMIT 1
What is the zip code that has the lowest average mean sea level pressure?
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[ "What", "is", "the", "zip", "code", "that", "has", "the", "lowest", "average", "mean", "sea", "level", "pressure", "?" ]
bike_1
SELECT avg(bikes_available) FROM status WHERE station_id NOT IN (SELECT id FROM station WHERE city = "Palo Alto")
What is the average bike availability in stations that are not located in Palo Alto?
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[ "What", "is", "the", "average", "bike", "availability", "in", "stations", "that", "are", "not", "located", "in", "Palo", "Alto", "?" ]
bike_1
SELECT avg(bikes_available) FROM status WHERE station_id NOT IN (SELECT id FROM station WHERE city = "Palo Alto")
What is the average bike availablility for stations not in Palo Alto?
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[ "What", "is", "the", "average", "bike", "availablility", "for", "stations", "not", "in", "Palo", "Alto", "?" ]
bike_1
SELECT avg(long) FROM station WHERE id NOT IN (SELECT station_id FROM status GROUP BY station_id HAVING max(bikes_available) > 10)
What is the average longitude of stations that never had bike availability more than 10?
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[ "What", "is", "the", "average", "longitude", "of", "stations", "that", "never", "had", "bike", "availability", "more", "than", "10", "?" ]
bike_1
SELECT avg(long) FROM station WHERE id NOT IN (SELECT station_id FROM status GROUP BY station_id HAVING max(bikes_available) > 10)
What is the mean longitude for all stations that have never had more than 10 bikes available?
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[ "What", "is", "the", "mean", "longitude", "for", "all", "stations", "that", "have", "never", "had", "more", "than", "10", "bikes", "available", "?" ]
bike_1
SELECT date , zip_code FROM weather WHERE max_temperature_f >= 80
When and in what zip code did max temperature reach 80?
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bike_1
SELECT date , zip_code FROM weather WHERE max_temperature_f >= 80
What zip codes have a station with a max temperature greater than or equal to 80 and when did it reach that temperature?
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bike_1
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
Give me ids for all the trip that took place in a zip code area with average mean temperature above 60.
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bike_1
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
For each zip code, find the ids of all trips that have a higher average mean temperature above 60?
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bike_1
SELECT zip_code , count(*) FROM weather WHERE max_wind_Speed_mph >= 25 GROUP BY zip_code
For each zip code, return how many times max wind speed reached 25?
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bike_1
SELECT zip_code , count(*) FROM weather WHERE max_wind_Speed_mph >= 25 GROUP BY zip_code
For each zip code, how many times has the maximum wind speed reached 25 mph?
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bike_1
SELECT date , zip_code FROM weather WHERE min_dew_point_f < (SELECT min(min_dew_point_f) FROM weather WHERE zip_code = 94107)
On which day and in which zip code was the min dew point lower than any day in zip code 94107?
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bike_1
SELECT date , zip_code FROM weather WHERE min_dew_point_f < (SELECT min(min_dew_point_f) FROM weather WHERE zip_code = 94107)
Which days had a minimum dew point smaller than any day in zip code 94107, and in which zip codes were those measurements taken?
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bike_1
SELECT T1.id , T2.installation_date FROM trip AS T1 JOIN station AS T2 ON T1.end_station_id = T2.id
For each trip, return its ending station's installation date.
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bike_1
SELECT T1.id , T2.installation_date FROM trip AS T1 JOIN station AS T2 ON T1.end_station_id = T2.id
What is the installation date for each ending station on all the trips?
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bike_1
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
Which trip started from the station with the largest dock count? Give me the trip id.
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bike_1
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
What is the id of the trip that started from the station with the highest dock count?
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bike_1
SELECT count(*) FROM trip AS T1 JOIN station AS T2 ON T1.end_station_id = T2.id WHERE T2.city != "San Francisco"
Count the number of trips that did not end in San Francisco city.
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bike_1
SELECT count(*) FROM trip AS T1 JOIN station AS T2 ON T1.end_station_id = T2.id WHERE T2.city != "San Francisco"
How many trips did not end in San Francisco?
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bike_1
SELECT date FROM weather WHERE zip_code = 94107 AND EVENTS != "Fog" AND EVENTS != "Rain"
In zip code 94107, on which day neither Fog nor Rain was not observed?
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bike_1
SELECT date FROM weather WHERE zip_code = 94107 AND EVENTS != "Fog" AND EVENTS != "Rain"
On which day has it neither been foggy nor rained in the zip code of 94107?
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bike_1
SELECT id FROM station WHERE lat > 37.4 EXCEPT SELECT station_id FROM status GROUP BY station_id HAVING min(bikes_available) < 7
What are the ids of stations that have latitude above 37.4 and never had bike availability below 7?
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bike_1
SELECT id FROM station WHERE lat > 37.4 EXCEPT SELECT station_id FROM status GROUP BY station_id HAVING min(bikes_available) < 7
What are the ids of all stations that have a latitude above 37.4 and have never had less than 7 bikes available?
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bike_1
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"
What are names of stations that have average bike availability above 10 and are not located in San Jose city?
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bike_1
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"
What are the names of all stations that have more than 10 bikes available and are not located in San Jose?
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bike_1
SELECT name , lat , city FROM station ORDER BY lat LIMIT 1
What are the name, latitude, and city of the station with the lowest latitude?
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bike_1
SELECT name , lat , city FROM station ORDER BY lat LIMIT 1
What is the name, latitude, and city of the station that is located the furthest South?
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bike_1
SELECT date , mean_temperature_f , mean_humidity FROM weather ORDER BY max_gust_speed_mph DESC LIMIT 3
What are the date, mean temperature and mean humidity for the top 3 days with the largest max gust speeds?
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bike_1
SELECT date , mean_temperature_f , mean_humidity FROM weather ORDER BY max_gust_speed_mph DESC LIMIT 3
What is the date, average temperature and mean humidity for the days with the 3 largest maximum gust speeds?
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bike_1
SELECT city , COUNT(*) FROM station GROUP BY city HAVING COUNT(*) >= 15
List the name and the number of stations for all the cities that have at least 15 stations.
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bike_1
SELECT city , COUNT(*) FROM station GROUP BY city HAVING COUNT(*) >= 15
What is the name of every city that has at least 15 stations and how many stations does it have?
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bike_1
SELECT start_station_id , start_station_name FROM trip GROUP BY start_station_name HAVING COUNT(*) >= 200
Find the ids and names of stations from which at least 200 trips started.
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bike_1
SELECT start_station_id , start_station_name FROM trip GROUP BY start_station_name HAVING COUNT(*) >= 200
What are the ids and names of all start stations that were the beginning of at least 200 trips?
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bike_1
SELECT zip_code FROM weather GROUP BY zip_code HAVING avg(mean_visibility_miles) < 10
Find the zip code in which the average mean visibility is lower than 10.
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[ "select", "zip_code", "from", "weather", "group", "by", "zip_code", "having", "avg", "(", "mean_visibility_miles", ")", "<", "value" ]
[ "Find", "the", "zip", "code", "in", "which", "the", "average", "mean", "visibility", "is", "lower", "than", "10", "." ]
bike_1
SELECT zip_code FROM weather GROUP BY zip_code HAVING avg(mean_visibility_miles) < 10
For each zip code, select all those that have an average mean visiblity below 10.
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bike_1
SELECT city FROM station GROUP BY city ORDER BY max(lat) DESC
List all the cities in a decreasing order of each city's stations' highest latitude.
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[ "select", "city", "from", "station", "group", "by", "city", "order", "by", "max", "(", "lat", ")", "desc" ]
[ "List", "all", "the", "cities", "in", "a", "decreasing", "order", "of", "each", "city", "'s", "stations", "'", "highest", "latitude", "." ]
bike_1
SELECT city FROM station GROUP BY city ORDER BY max(lat) DESC
For each city, list their names in decreasing order by their highest station latitude.
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[ "select", "city", "from", "station", "group", "by", "city", "order", "by", "max", "(", "lat", ")", "desc" ]
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bike_1
SELECT date , cloud_cover FROM weather ORDER BY cloud_cover DESC LIMIT 5
What are the dates that had the top 5 cloud cover rates? Also tell me the cloud cover rate.
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bike_1
SELECT date , cloud_cover FROM weather ORDER BY cloud_cover DESC LIMIT 5
What are the dates that have the 5 highest cloud cover rates and what are the rates?
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bike_1
SELECT id , duration FROM trip ORDER BY duration DESC LIMIT 3
What are the ids and durations of the trips with the top 3 durations?
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bike_1
SELECT id , duration FROM trip ORDER BY duration DESC LIMIT 3
What are the ids of the trips that lasted the longest and how long did they last?
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bike_1
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
For each station, return its longitude and the average duration of trips that started from the station.
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bike_1
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
For each start station id, what is its name, longitude and average duration of trips started there?
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bike_1
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
For each station, find its latitude and the minimum duration of trips that ended at the station.
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bike_1
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
For each end station id, what is its name, latitude, and minimum duration for trips ended there?
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bike_1
SELECT DISTINCT start_station_name FROM trip WHERE duration < 100
List all the distinct stations from which a trip of duration below 100 started.
[ "SELECT", "DISTINCT", "start_station_name", "FROM", "trip", "WHERE", "duration", "<", "100" ]
[ "select", "distinct", "start_station_name", "from", "trip", "where", "duration", "<", "value" ]
[ "List", "all", "the", "distinct", "stations", "from", "which", "a", "trip", "of", "duration", "below", "100", "started", "." ]
bike_1
SELECT DISTINCT start_station_name FROM trip WHERE duration < 100
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" ]
[ "select", "distinct", "start_station_name", "from", "trip", "where", "duration", "<", "value" ]
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bike_1
SELECT DISTINCT zip_code FROM weather EXCEPT SELECT DISTINCT zip_code FROM weather WHERE max_dew_point_f >= 70
Find all the zip codes in which the max dew point have never reached 70.
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[ "select", "distinct", "zip_code", "from", "weather", "except", "select", "distinct", "zip_code", "from", "weather", "where", "max_dew_point_f", ">", "=", "value" ]
[ "Find", "all", "the", "zip", "codes", "in", "which", "the", "max", "dew", "point", "have", "never", "reached", "70", "." ]
bike_1
SELECT DISTINCT zip_code FROM weather EXCEPT SELECT DISTINCT zip_code FROM weather WHERE max_dew_point_f >= 70
What are all the different zip codes that have a maximum dew point that was always below 70?
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bike_1
SELECT id FROM trip WHERE duration >= (SELECT avg(duration) FROM trip WHERE zip_code = 94103)
Find the id for the trips that lasted at least as long as the average duration of trips in zip code 94103.
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bike_1
SELECT id FROM trip WHERE duration >= (SELECT avg(duration) FROM trip WHERE zip_code = 94103)
What are the ids of all trips that had a duration as long as the average trip duration in the zip code 94103?
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bike_1
SELECT date FROM weather WHERE mean_sea_level_pressure_inches BETWEEN 30.3 AND 31
What are the dates in which the mean sea level pressure was between 30.3 and 31?
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