Datasets:
SALT-NLP
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spider_VALUE

Dataset card Viewer Files Community
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student_assessment
SELECT student_id FROM student_course_registrations UNION SELECT student_id FROM student_course_attendance
What-all are the ids of the either register or attended a course students?
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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 imight would of courses which are registered them or attended by student whose-all imight would is 121?
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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-all are the ids of the courses that are registered them or attended by the student whose-all imight would 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-all are all infos of students which register courses but not attended no courses?
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student_assessment
SELECT * FROM student_course_registrations WHERE student_id NOT IN (SELECT student_id FROM student_course_attendance)
What-all are all details of the students register but did not attend no 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 imight would of students had 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-all are the ids of the students which register 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 imight would of students who attend 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-all are the ids of the students as attend 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 us the dates when the max temperature had been higher than 85.
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bike_1
SELECT date FROM weather WHERE max_temperature_f > 85
What-all are the dates with a maximum more higher 85 temperature?
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bike_1
SELECT name FROM station WHERE lat < 37.5
What-all are the names of stations have latitude lower than 37.5?
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bike_1
SELECT name FROM station WHERE lat < 37.5
What-all 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, are returning the most highest latitude among itsn 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 itsn stations?
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bike_1
SELECT start_station_name , end_station_name FROM trip ORDER BY id LIMIT 3
Are Giving 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-all is the station station and end station for the trips with the three smallest id?
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bike_1
SELECT avg(lat) , avg(long) FROM station WHERE city = "San Jose"
What-all 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-all 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-all is the imight would of the trip that has the shortest duration?
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bike_1
SELECT id FROM trip ORDER BY duration LIMIT 1
What-all is the imight would of the shortest trip?
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bike_1
SELECT sum(duration) , max(duration) FROM trip WHERE bike_id = 636
What-all is the total and maximum duration of trips with bike imight would 636?
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bike_1
SELECT sum(duration) , max(duration) FROM trip WHERE bike_id = 636
What-all is the total and maximum duration for all the bike trips 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, are finding 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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bike_1
SELECT count(DISTINCT city) FROM station
What-all is the number of distinct cities the stations are located at?
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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 It is that 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
Are Returning the unique name for stations done ever a-had 7 bike 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-all are the different names for each that ever had 7 bikes station available?
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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
Which start station had the most trips starting from August? Give me the name and imight would 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-all are the start station's name and imight would for the one 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 travel the most often in zip code 94002?
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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
What-all is the imight would of the bike that travel 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 are meaning visibilitys above 8?
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bike_1
SELECT COUNT(*) FROM weather WHERE mean_humidity > 50 AND mean_visibility_miles > 8
What-all is the number of days had 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-all is the latitude, longitude, city of the station from which the shortest had started?
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[ "What-all", "is", "the", "latitude,", "longitude,", "city", "of", "the", "station", "from", "which", "the", "shortest", "had", "started?" ]
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-all is the latitude, longitude, and city of the station from which the with smallest duration start?
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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-all are the ids of stations that are located in San Francisco and have average bike availability above 10.
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[ "What-all", "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-all are the ids of the stations in San Francisco normally have more than 10 bikes available?
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[ "What-all", "are", "the", "ids", "of", "the", "stations", "in", "San", "Francisco", "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-all are the names and ids of stations had more than 14 bikes available on average or was a-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-all are the names and ids of all stations that have more than 14 bike available on average or had bikes a-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-all is the 3 commonest cloud cover rates in the region of zip codes 94107?
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[ "What-all", "is", "the", "3", "commonest", "cloud", "cover", "rates", "in", "the", "region", "of", "zip", "codes", "94107?" ]
bike_1
SELECT cloud_cover FROM weather WHERE zip_code = 94107 GROUP BY cloud_cover ORDER BY COUNT (*) DESC LIMIT 3
What-all are the 3 most common cloud covers in the zip code of 94107?
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[ "What-all", "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-all is the zip codes in which the average mean sea level pressure is the lowest?
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[ "What-all", "is", "the", "zip", "codes", "in", "which", "the", "average", "mean", "sea", "level", "pressure", "is", "the", "lowest?" ]
bike_1
SELECT zip_code FROM weather GROUP BY zip_code ORDER BY avg(mean_sea_level_pressure_inches) LIMIT 1
What-all is the zip code has the lowest average mean sea level pressure?
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[ "What-all", "is", "the", "zip", "code", "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-all is the average bike availability in that ain't a-located Palo Alto stations?
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[ "What-all", "is", "the", "average", "bike", "availability", "in", "that", "ain't", "a-located", "Palo", "Alto", "stations?" ]
bike_1
SELECT avg(bikes_available) FROM status WHERE station_id NOT IN (SELECT id FROM station WHERE city = "Palo Alto")
What-all is the average bike availablility for not Palo Alto stations?
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[ "What-all", "is", "the", "average", "bike", "availablility", "for", "not", "Palo", "Alto", "stations?" ]
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-all is the average longitude of stations that ain't bike no availability more than 10?
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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-all is the mean longitude for all stations never had more than 10 bike available?
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[ "What-all", "is", "the", "mean", "longitude", "for", "all", "stations", "never", "had", "more", "than", "10", "bike", "available?" ]
bike_1
SELECT date , zip_code FROM weather WHERE max_temperature_f >= 80
When and in what zip code had done max temperature is reaching 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 as or equal to 80 and so when is it reaching that there 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
Are Giving me ids for all the trip take 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, are finding the ids of all trips 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 , are returning how many times are maxing wind speed reach 25 code?
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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 is pointing 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 have had a minimum dew point smaller as any day in zip code 94107, and in which zip codes have been those there 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 , return itsn ending station's installation date trip.
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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-all is the installation date for each a-ending all the trips station?
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[ "What-all", "is", "the", "installation", "date", "for", "each", "a-ending", "all", "the", "trips", "station?" ]
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 start from the station with the most largest dock count? Are Giving me the trip imight would.
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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-all is the imight would of the trip start 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"
Are Counting the number of trips is not ending in San Francisco no 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 are not ending in San Francisco?
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[ "How", "many", "trips", "are", "not", "ending", "in", "San", "Francisco?" ]
bike_1
SELECT date FROM weather WHERE zip_code = 94107 AND EVENTS != "Fog" AND EVENTS != "Rain"
In zip no code 94107, on which day neither Fog nor Rain have been 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 it neither were foggy nor rained in the zip codes 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-all are the ids of stations have latitude above 37.4 and didn't never have bike no 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-all are the ids of all stations have a latitude above 37.4 and have done ain't less than 7 bike 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-all are names of stations have average bike availability above 10 and ain't a-located in San Jose no 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-all are the names of all stations that have more than 10 bike available and ain't located in San Jose?
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bike_1
SELECT name , lat , city FROM station ORDER BY lat LIMIT 1
What-all are the name, latitude, and city of the station with the lowest latitude?
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[ "What-all", "are", "the", "name,", "latitude,", "and", "city", "of", "the", "station", "with", "the", "lowest", "latitude?" ]
bike_1
SELECT name , lat , city FROM station ORDER BY lat LIMIT 1
What-all is the name, latitude, and city of the station that is a-located the furthest South?
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[ "What-all", "is", "the", "name,", "latitude,", "and", "city", "of", "the", "station", "that", "is", "a-located", "the", "furthest", "South?" ]
bike_1
SELECT date , mean_temperature_f , mean_humidity FROM weather ORDER BY max_gust_speed_mph DESC LIMIT 3
What-all 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-all is the date, average temperature and are meaning humidity for the days with the 3 largest maximum gust speed?
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bike_1
SELECT city , COUNT(*) FROM station GROUP BY city HAVING COUNT(*) >= 15
Are Listing the name and the number of stations for all the cities that have at least 15 station.
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bike_1
SELECT city , COUNT(*) FROM station GROUP BY city HAVING COUNT(*) >= 15
What-all is the name of every city 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
Are Finding the ids and names of stations from which at least 200 trips have 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-all are the ids and names of all start stations had been the beginning of at least 200 trip?
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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 is lower than 10.
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[ "Find", "the", "zip", "code", "in", "which", "the", "average", "mean", "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 them that have an average mean visiblity below 10.
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[ "For", "each", "zip", "code,", "select", "all", "them", "that", "have", "an", "average", "mean", "visiblity", "below", "10." ]
bike_1
SELECT city FROM station GROUP BY city ORDER BY max(lat) DESC
Are Listing all the cities in a 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" ]
[ "Are", "Listing", "all", "the", "cities", "in", "a", "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, are listing theirn names in decreasing order by theirn highest station latitude.
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[ "For", "each", "city,", "are", "listing", "theirn", "names", "in", "decreasing", "order", "by", "theirn", "highest", "station", "latitude." ]
bike_1
SELECT date , cloud_cover FROM weather ORDER BY cloud_cover DESC LIMIT 5
What-all are the dates that had the top 5 cloud cover rates? Also are telling me the cloud cover rate.
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[ "What-all", "are", "the", "dates", "that", "had", "the", "top", "5", "cloud", "cover", "rates?", "Also", "are", "telling", "me", "the", "cloud", "cover", "rate." ]
bike_1
SELECT date , cloud_cover FROM weather ORDER BY cloud_cover DESC LIMIT 5
What-all are the dates that have the 5 highest cloud cover rates and so what-all are the rates?
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bike_1
SELECT id , duration FROM trip ORDER BY duration DESC LIMIT 3
What-all are the ids and durations of the trips with the top 3 duration?
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bike_1
SELECT id , duration FROM trip ORDER BY duration DESC LIMIT 3
What-all are the ids of the last the longest trips 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 itsn longitude and the average duration of trips that start 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 imight would, what is itsn 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, are finding itsn latitude and the minimum duration of trips end 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 imight would, 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 of duration below 100 start.
[ "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", "of", "duration", "below", "100", "start." ]
bike_1
SELECT DISTINCT start_station_name FROM trip WHERE duration < 100
What-all are all the different start station names for a trip last less than 100?
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[ "What-all", "are", "all", "the", "different", "start", "station", "names", "for", "a", "trip", "last", "less", "than", "100?" ]
bike_1
SELECT DISTINCT zip_code FROM weather EXCEPT SELECT DISTINCT zip_code FROM weather WHERE max_dew_point_f >= 70
Are Finding all the zip codes in which the max dew done never reached 70.
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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
What-all are all the different zip codes that have a maximum dew that had been always 70 point?
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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 had lasted at least as long as the average duration of trips in zip codes 94103.
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bike_1
SELECT id FROM trip WHERE duration >= (SELECT avg(duration) FROM trip WHERE zip_code = 94103)
What-all are the ids of all trips that had a duration as long as the average trip duration in the zip codes 94103?
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bike_1
SELECT date FROM weather WHERE mean_sea_level_pressure_inches BETWEEN 30.3 AND 31
What-all are the dates in the mean sea level pressure was 30.3 which and 31?
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