aherntech/sparc huggingface dataset:
Database: body_builder
Question sequence:
What are the weights of the body builders?
With those weights, keep the ones whose snatch score is higher 180.
What about higher than 140 or the height is greater than 200?
SQL query sequence:
SELECT T2.weight FROM body_builder AS T1 JOIN people AS T2 ON T1.people_id  =  T2.people_id
SELECT T2.weight FROM body_builder AS T1 JOIN people AS T2 ON T1.people_id  =  T2.people_id WHERE T1.snatch  >  180
SELECT T2.weight FROM body_builder AS T1 JOIN people AS T2 ON T1.people_id  =  T2.people_id WHERE T1.snatch  >  140 OR T2.height  >  200;
Final question: List the weight of the body builders who have snatch score higher than 140 or have the height greater than 200.
Final SQL: SELECT T2.weight FROM body_builder AS T1 JOIN people AS T2 ON T1.people_id  =  T2.people_id WHERE T1.snatch  >  140 OR T2.height  >  200;
Database: body_builder
Question sequence:
What are the total scores of the body builders
Among those, show the one who was born in May.
What about born in January?
SQL query sequence:
SELECT total FROM body_builder
SELECT T1.total FROM body_builder AS T1 JOIN people AS T2 ON T1.people_id  =  T2.people_id WHERE T2.Birth_Date LIKE "%May%";
SELECT T1.total FROM body_builder AS T1 JOIN people AS T2 ON T1.people_id  =  T2.people_id WHERE T2.Birth_Date LIKE "%January%";
Final question: What are the total scores of the body builders whose birthday contains the string "January" ?
Final SQL: SELECT T1.total FROM body_builder AS T1 JOIN people AS T2 ON T1.people_id  =  T2.people_id WHERE T2.Birth_Date LIKE "%January%";
Database: pilot_record
Question sequence:
List all the pilots.
How many are there?
SQL query sequence:
SELECT * FROM pilot
SELECT count(*) FROM pilot
Final question: How many pilots are there?
Final SQL: SELECT count(*) FROM pilot
Database: pilot_record
Question sequence:
Show all the pilot names
How many in total?
Order them in ascending order of the rank.
SQL query sequence:
SELECT Pilot_name FROM pilot
SELECT count(Pilot_name) FROM pilot
SELECT Pilot_name FROM pilot ORDER BY Rank ASC
Final question: List the names of pilots in ascending order of rank.
Final SQL: SELECT Pilot_name FROM pilot ORDER BY Rank ASC
Database: pilot_record
Question sequence:
Show all the pilot names and positions.
What about the pilot names and their teams?
SQL query sequence:
SELECT Pilot_name, POSITION FROM pilot
SELECT POSITION ,  Team FROM pilot
Final question: What are the positions and teams of pilots?
Final SQL: SELECT POSITION ,  Team FROM pilot
Database: pilot_record
Question sequence:
Show all the pilot names and positions
Show all the names and their age?
Keep those who are 37 years old.
Show the distinct positions of pilots older than 30.
SQL query sequence:
SELECT Pilot_name, POSITION FROM pilot
SELECT Pilot_name, Age FROM pilot
SELECT Pilot_name, Age FROM pilot WHERE Age = 37
SELECT DISTINCT POSITION FROM pilot WHERE Age  >  30
Final question: List the distinct positions of pilots older than 30.
Final SQL: SELECT DISTINCT POSITION FROM pilot WHERE Age  >  30
Database: pilot_record
Question sequence:
List all pilot names with there team name.
Among those, which are from the Team "Bradley"?
What about "Eau Claire High School"?
What about "Bradley" or "Fordham"?
SQL query sequence:
SELECT Pilot_name, Team FROM pilot
SELECT Pilot_name FROM pilot WHERE Team  =  "Bradley"
SELECT Pilot_name FROM pilot WHERE Team  =  "Eau Claire High School"
SELECT Pilot_name FROM pilot WHERE Team  =  "Bradley" OR Team  =  "Fordham"
Final question: Show the names of pilots from team "Bradley" or "Fordham".
Final SQL: SELECT Pilot_name FROM pilot WHERE Team  =  "Bradley" OR Team  =  "Fordham"
Database: pilot_record
Question sequence:
Show all the pilot names and the join years.
How many unique years are there?
List the years by the pilot rank in ascending order.
In which join year, the pilot has the highest rank?
SQL query sequence:
SELECT Pilot_name, Join_Year FROM pilot
SELECT count(Join_Year) FROM pilot
SELECT Join_Year FROM pilot ORDER BY Rank ASC
SELECT Join_Year FROM pilot ORDER BY Rank ASC LIMIT 1
Final question: What is the joined year of the pilot of the highest rank?
Final SQL: SELECT Join_Year FROM pilot ORDER BY Rank ASC LIMIT 1
Database: pilot_record
Question sequence:
Show the pilot names and their nationalities.
Which nationalities have the pilots whose position is "Center Team"?
Show the nationalities and the number of pilots for each.
SQL query sequence:
SELECT Pilot_name, Nationality FROM pilot
SELECT Nationality FROM pilot WHERE Position = "Center Team"
SELECT Nationality, count(*) FROM pilot GROUP BY Nationality
Final question: What are the different nationalities of pilots? Show each nationality and the number of pilots of each nationality.
Final SQL: SELECT Nationality ,  COUNT(*) FROM pilot GROUP BY Nationality
Database: pilot_record
Question sequence:
Show the pilot names and their nationalities.
Which nationalities have the pilots who is younger than 34?
Show each one and the number of pilots.
Among those, which one is the most popular one?
SQL query sequence:
SELECT Pilot_name, Nationality FROM pilot
SELECT Nationality FROM pilot WHERE Age < 34
SELECT Nationality, count(*) FROM pilot GROUP BY Nationality
SELECT Nationality FROM pilot GROUP BY Nationality ORDER BY COUNT(*) DESC LIMIT 1
Final question: Show the most common nationality of pilots.
Final SQL: SELECT Nationality FROM pilot GROUP BY Nationality ORDER BY COUNT(*) DESC LIMIT 1
Database: pilot_record
Question sequence:
List all the  pilot positions.
Keep the ones whose age is younger than 35
What about the join year is early than 2000?
What about in the range of year f2000 and 2005?
SQL query sequence:
SELECT POSITION FROM pilot
SELECT POSITION FROM pilot WHERE Age <  35
SELECT POSITION FROM pilot WHERE Join_Year	 <  2000
SELECT POSITION FROM pilot WHERE Join_Year	 <  2000 INTERSECT SELECT POSITION FROM pilot WHERE Join_Year	 >  2005
Final question: Show the pilot positions that have both pilots joining after year 2005 and pilots joining before 2000.
Final SQL: SELECT POSITION FROM pilot WHERE Join_Year	 <  2000 INTERSECT SELECT POSITION FROM pilot WHERE Join_Year	 >  2005
Database: pilot_record
Question sequence:
What are all the information about the pilots?
What about the fleet series?
How about the aircraft models?
Show all the flying records with the pilot names and the aircraft's models.
SQL query sequence:
SELECT * FROM pilot
SELECT Fleet_Series FROM aircraft
SELECT Model FROM aircraft
SELECT T3.Pilot_name ,  T2.Model FROM pilot_record AS T1 JOIN aircraft AS T2 ON T1.Aircraft_ID  =  T2.Aircraft_ID JOIN pilot AS T3 ON T1.Pilot_ID  =  T3.Pilot_ID
Final question: Show the names of pilots and models of aircrafts they have flied with.
Final SQL: SELECT T3.Pilot_name ,  T2.Model FROM pilot_record AS T1 JOIN aircraft AS T2 ON T1.Aircraft_ID  =  T2.Aircraft_ID JOIN pilot AS T3 ON T1.Pilot_ID  =  T3.Pilot_ID
Database: pilot_record
Question sequence:
What are all the information about the pilots?
What about the fleet series?
Show all the flying records with the pilot names and the aircraft's sleet series.
Now show those results in ascending order of the pilot age.
What about in ascending order of the pilot rank?
SQL query sequence:
SELECT * FROM pilot
SELECT Fleet_Series FROM aircraft
SELECT T3.Pilot_name ,  T2.Fleet_Series FROM pilot_record AS T1 JOIN aircraft AS T2 ON T1.Aircraft_ID  =  T2.Aircraft_ID JOIN pilot AS T3 ON T1.Pilot_ID  =  T3.Pilot_ID
SELECT T3.Pilot_name ,  T2.Fleet_Series FROM pilot_record AS T1 JOIN aircraft AS T2 ON T1.Aircraft_ID  =  T2.Aircraft_ID JOIN pilot AS T3 ON T1.Pilot_ID  =  T3.Pilot_ID ORDER BY T3.Age
SELECT T3.Pilot_name ,  T2.Fleet_Series FROM pilot_record AS T1 JOIN aircraft AS T2 ON T1.Aircraft_ID  =  T2.Aircraft_ID JOIN pilot AS T3 ON T1.Pilot_ID  =  T3.Pilot_ID ORDER BY T3.Rank
Final question: Show the names of pilots and fleet series of the aircrafts they have flied with in ascending order of the rank of the pilot.
Final SQL: SELECT T3.Pilot_name ,  T2.Fleet_Series FROM pilot_record AS T1 JOIN aircraft AS T2 ON T1.Aircraft_ID  =  T2.Aircraft_ID JOIN pilot AS T3 ON T1.Pilot_ID  =  T3.Pilot_ID ORDER BY T3.Rank
Database: pilot_record
Question sequence:
Show all the fleet series?
Which aircrafts have been flied by pilot whose name is "Charles Oakley"?
What about the ones that have been flied by pilots younger than 34
SQL query sequence:
SELECT Fleet_Series FROM aircraft
SELECT T2.Fleet_Series FROM pilot_record AS T1 JOIN aircraft AS T2 ON T1.Aircraft_ID  =  T2.Aircraft_ID JOIN pilot AS T3 ON T1.Pilot_ID  =  T3.Pilot_ID WHERE T3.Pilot_name = "Charles Oakley"
SELECT T2.Fleet_Series FROM pilot_record AS T1 JOIN aircraft AS T2 ON T1.Aircraft_ID  =  T2.Aircraft_ID JOIN pilot AS T3 ON T1.Pilot_ID  =  T3.Pilot_ID WHERE T3.Age  <  34
Final question: Show the fleet series of the aircrafts flied by pilots younger than 34
Final SQL: SELECT T2.Fleet_Series FROM pilot_record AS T1 JOIN aircraft AS T2 ON T1.Aircraft_ID  =  T2.Aircraft_ID JOIN pilot AS T3 ON T1.Pilot_ID  =  T3.Pilot_ID WHERE T3.Age  <  34
Database: pilot_record
Question sequence:
How many records in total?
Show the pilot names where there is at lease one record.
Show the names and the corresponding number of records.
SQL query sequence:
SELECT COUNT(*) FROM pilot_record
SELECT T2.Pilot_name FROM pilot_record AS T1 JOIN pilot AS T2 ON T1.pilot_ID  =  T2.pilot_ID GROUP BY T2.Pilot_name
SELECT T2.Pilot_name ,  COUNT(*) FROM pilot_record AS T1 JOIN pilot AS T2 ON T1.pilot_ID  =  T2.pilot_ID GROUP BY T2.Pilot_name
Final question: Show the names of pilots and the number of records they have.
Final SQL: SELECT T2.Pilot_name ,  COUNT(*) FROM pilot_record AS T1 JOIN pilot AS T2 ON T1.pilot_ID  =  T2.pilot_ID GROUP BY T2.Pilot_name
Database: pilot_record
Question sequence:
How many records are there?
Show the pilot names where there is at lease one record.
Which pilot has only one record?
What about the ones who have more than one record?
SQL query sequence:
SELECT COUNT(*) FROM pilot_record
SELECT T2.Pilot_name FROM pilot_record AS T1 JOIN pilot AS T2 ON T1.pilot_ID  =  T2.pilot_ID GROUP BY T2.Pilot_name
SELECT T2.Pilot_name ,  COUNT(*) FROM pilot_record AS T1 JOIN pilot AS T2 ON T1.pilot_ID  =  T2.pilot_ID GROUP BY T2.Pilot_name HAVING COUNT(*)  =  1
SELECT T2.Pilot_name ,  COUNT(*) FROM pilot_record AS T1 JOIN pilot AS T2 ON T1.pilot_ID  =  T2.pilot_ID GROUP BY T2.Pilot_name HAVING COUNT(*)  >  1
Final question: Show names of pilots that have more than one record.
Final SQL: SELECT T2.Pilot_name ,  COUNT(*) FROM pilot_record AS T1 JOIN pilot AS T2 ON T1.pilot_ID  =  T2.pilot_ID GROUP BY T2.Pilot_name HAVING COUNT(*)  >  1
Database: bike_1
Question sequence:
Which trips have the oldest ids? Limit it to 3.
Just show information on the start station and end station for those.
SQL query sequence:
SELECT * FROM trip ORDER BY id LIMIT 3
SELECT start_station_name ,  end_station_name FROM trip ORDER BY id LIMIT 3
Final question: Give me the start station and end station for the trips with the three oldest ids.
Final SQL: SELECT start_station_name ,  end_station_name FROM trip ORDER BY id LIMIT 3
Database: bike_1
Question sequence:
Which stations are located in San Jose City?
For those, which are their latitude and longitude?
Take averages.
SQL query sequence:
SELECT name from station where city = "San Jose"
SELECT lat, long FROM station WHERE city  =  "San Jose"
SELECT avg(lat) ,  avg(long) FROM station WHERE city  =  "San Jose"
Final question: What is the average latitude and longitude of stations located in San Jose city?
Final SQL: SELECT avg(lat) ,  avg(long) FROM station WHERE city  =  "San Jose"
Database: bike_1
Question sequence:
Order the trips by duration, ascending.
Limit it to the ids.
Limit it to the shortest duration.
SQL query sequence:
SELECT * FROM trip ORDER BY duration
SELECT id FROM trip ORDER BY duration
SELECT id FROM trip ORDER BY duration LIMIT 1
Final question: What is the id of the trip that has the shortest duration?
Final SQL: SELECT id FROM trip ORDER BY duration LIMIT 1
Database: bike_1
Question sequence:
Show records of trips with bike id 636.
just show the durations.
Take a sum and max.
SQL query sequence:
SELECT * FROM trip WHERE bike_id  =  636
SELECT duration FROM trip WHERE bike_id  =  636
SELECT sum(duration) ,  max(duration) FROM trip WHERE bike_id  =  636
Final question: What is the total and maximum duration of trips with bike id 636?
Final SQL: SELECT sum(duration) ,  max(duration) FROM trip WHERE bike_id  =  636
Database: bike_1
Question sequence:
Show weather records from August.
Just show the mean temperature in those records.
Group by zipcode and average those records.
SQL query sequence:
SELECT * FROM weather WHERE date LIKE "8/%"
SELECT mean_temperature_f FROM weather WHERE date LIKE "8/%"
SELECT zip_code  ,  avg(mean_temperature_f) FROM weather WHERE date LIKE "8/%" GROUP BY zip_code
Final question: For each zip code, return the average mean temperature of August there.
Final SQL: SELECT zip_code  ,  avg(mean_temperature_f) FROM weather WHERE date LIKE "8/%" GROUP BY zip_code
Database: bike_1
Question sequence:
Which station ids ever had 7 bikes available?
Give the names for those stations.
SQL query sequence:
SELECT DISTINCT station_id from status WHERE bikes_available = 7
SELECT DISTINCT T1.name FROM station AS T1 JOIN status AS T2 ON T1.id  =  T2.station_id WHERE T2.bikes_available  =  7
Final question: Return the unique name for stations that have ever had 7 bikes available.
Final SQL: SELECT DISTINCT T1.name FROM station AS T1 JOIN status AS T2 ON T1.id  =  T2.station_id WHERE T2.bikes_available  =  7
Database: bike_1
Question sequence:
Show trip records from August.
Limit that to the start station name and id.
Which start station had the most trips starting from August? Give me the name and id of the station.
SQL query sequence:
SELECT * from trip WHERE start_date LIKE "8/%"
SELECT start_station_name ,  start_station_id FROM trip WHERE start_date LIKE "8/%"
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
Final question: Which start station had the most trips starting from August? Give me the name and id of the station.
Final SQL: 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
Database: bike_1
Question sequence:
Show bike ids that traveled in zip code 94002.
Which traveled there most often?
SQL query sequence:
SELECT DISTINCT bike_id FROM trip WHERE zip_code  =  94002
SELECT bike_id FROM trip WHERE zip_code  =  94002 GROUP BY bike_id ORDER BY COUNT(*) DESC LIMIT 1
Final question: Which bike traveled the most often in zip code 94002?
Final SQL: SELECT bike_id FROM trip WHERE zip_code  =  94002 GROUP BY bike_id ORDER BY COUNT(*) DESC LIMIT 1
Database: bike_1
Question sequence:
Show the records of weather events with both mean humidity above 50 and mean visibility above 8.
Count those days.
SQL query sequence:
SELECT * FROM weather WHERE mean_humidity  >  50 AND mean_visibility_miles  >  8
SELECT COUNT(*) FROM weather WHERE mean_humidity  >  50 AND mean_visibility_miles  >  8
Final question: How many days had both mean humidity above 50 and mean visibility above 8?
Final SQL: SELECT COUNT(*) FROM weather WHERE mean_humidity  >  50 AND mean_visibility_miles  >  8
Database: bike_1
Question sequence:
Give records on the lengths of trips.
Give records on the shortest trip.
From which station id did it originate?
For that start station id, give latitude, longitude, and city.
SQL query sequence:
SELECT duration from trip
SELECT * from trip ORDER by duration limit 1
SELECT start_station_id from trip ORDER by duration limit 1
SELECT T1.lat ,  T1.long ,  T1.city FROM station AS T1 JOIN trip AS T2 ON T1.id  =  T2.start_station_id ORDER BY T2.duration LIMIT 1
Final question: What is the latitude, longitude, city of the station from which the shortest trip started?
Final SQL: 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
Database: bike_1
Question sequence:
Which station ids have average availability above 10?
And which are located in San Francisco?
Which pass both conditions?
SQL query sequence:
SELECT DISTINCT station_id FROM status GROUP BY station_id HAVING avg(bikes_available)  >  10
SELECT DISTINCT id FROM station WHERE city  =  "San Francisco"
SELECT id FROM station WHERE city  =  "San Francisco" INTERSECT SELECT station_id FROM status GROUP BY station_id HAVING avg(bikes_available)  >  10
Final question: What are the ids of stations that are located in San Francisco and have average bike availability above 10.
Final SQL: SELECT id FROM station WHERE city  =  "San Francisco" INTERSECT SELECT station_id FROM status GROUP BY station_id HAVING avg(bikes_available)  >  10
Database: bike_1
Question sequence:
Show records (name and id) of stations installed in December.
Which had more than 14 bikes available?
Union those two.
SQL query sequence:
SELECT name ,  id FROM station WHERE installation_date LIKE "12/%"
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
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/%"
Final question: What are the names and ids of stations that had more than 14 bikes available on average or were installed in December?
Final SQL: 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/%"
Database: bike_1
Question sequence:
Show records on cloud cover?
Just for the zip code 94107.
What is the 3 most common cloud cover rates in the region of zip code 94107?
SQL query sequence:
SELECT cloud_cover FROM weather
SELECT cloud_cover FROM weather WHERE zip_code = 94107
SELECT cloud_cover FROM weather WHERE zip_code  =  94107 GROUP BY cloud_cover ORDER BY COUNT (*) DESC LIMIT 3
Final question: What is the 3 most common cloud cover rates in the region of zip code 94107?
Final SQL: SELECT cloud_cover FROM weather WHERE zip_code  =  94107 GROUP BY cloud_cover ORDER BY COUNT (*) DESC LIMIT 3
Database: bike_1
Question sequence:
Show the records on mean sea level pressure by zip code.
Now group by zip code and average over the pressure.
Which zip code has the lowest of those?
SQL query sequence:
SELECT zip_code, mean_sea_level_pressure_inches FROM weather GROUP BY zip_code
SELECT zip_code, avg(mean_sea_level_pressure_inches) FROM weather GROUP BY zip_code
SELECT zip_code FROM weather GROUP BY zip_code ORDER BY avg(mean_sea_level_pressure_inches) LIMIT 1
Final question: What is the zip code in which the average mean sea level pressure is the lowest?
Final SQL: SELECT zip_code FROM weather GROUP BY zip_code ORDER BY avg(mean_sea_level_pressure_inches) LIMIT 1
Database: bike_1
Question sequence:
Which stations are located in "Palo Alto"?
What is the average bike availability in stations that are not located in Palo Alto?
SQL query sequence:
SELECT id FROM station WHERE city  =  "Palo Alto"
SELECT avg(bikes_available) FROM status WHERE station_id NOT IN (SELECT id FROM station WHERE city  =  "Palo Alto")
Final question: What is the average bike availability in stations that are not located in Palo Alto?
Final SQL: SELECT avg(bikes_available) FROM status WHERE station_id NOT IN (SELECT id FROM station WHERE city  =  "Palo Alto")
Database: bike_1
Question sequence:
Which station ids ever had bike availability more than 10?
Which did not?
For those, take the average longitude.
SQL query sequence:
SELECT DISTINCT station_id FROM status GROUP BY station_id HAVING max(bikes_available)  >  10
SELECT id FROM station WHERE id NOT IN (SELECT station_id FROM status GROUP BY station_id HAVING max(bikes_available)  >  10)
SELECT avg(long) FROM station WHERE id NOT IN (SELECT station_id FROM status GROUP BY station_id HAVING max(bikes_available)  >  10)
Final question: What is the average longitude of stations that never had bike availability more than 10?
Final SQL: SELECT avg(long) FROM station WHERE id NOT IN (SELECT station_id FROM status GROUP BY station_id HAVING max(bikes_available)  >  10)
Database: bike_1
Question sequence:
Give zip codes from trips.
Which zip codes had an average mean temperature greater than 60?
Give me ids for all the trip that took place in a zip code area with average mean temperature above 60.
SQL query sequence:
SELECT DISTINCT zip_code from trip
SELECT zip_code from weather group by zip_code HAVING avg(mean_temperature_f) > 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
Final question: Give me ids for all the trip that took place in a zip code area with average mean temperature above 60.
Final SQL: 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
Database: bike_1
Question sequence:
Give weather records with max wind speed greater than or equal to 25.
Count the times that event occurred by zip code.
SQL query sequence:
SELECT * FROM weather WHERE max_wind_Speed_mph  >=  25
SELECT zip_code , count(*) FROM weather WHERE max_wind_Speed_mph  >=  25 GROUP BY zip_code
Final question: For each zip code, return how many times max wind speed reached 25?
Final SQL: SELECT zip_code , count(*) FROM weather WHERE max_wind_Speed_mph  >=  25 GROUP BY zip_code
Database: bike_1
Question sequence:
What is the minimum min dew point in zip code 94107?
Give dates and zip codes with lower min dew points than that, even.
SQL query sequence:
SELECT min(min_dew_point_f) FROM weather WHERE 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)
Final question: On which day and in which zip code was the min dew point lower than any day in zip code 94107?
Final SQL: SELECT date ,  zip_code FROM weather WHERE min_dew_point_f  <  (SELECT min(min_dew_point_f) FROM weather WHERE zip_code  =  94107)
Database: bike_1
Question sequence:
Show the dock counts of stations.
Which dock count is largest?
Give the trip id of the trip that started there.
SQL query sequence:
SELECT name, dock_count from station
SELECT name, dock_count from station ORDER by dock_count desc limit 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
Final question: Which trip started from the station with the largest dock count? Give me the trip id.
Final SQL: 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
Database: bike_1
Question sequence:
Which trips ended in San Francisco?
Which did not?
Count them.
SQL query sequence:
SELECT T1.id FROM trip AS T1 JOIN station AS T2 ON T1.end_station_id  =  T2.id WHERE T2.city =  "San Francisco"
SELECT T1.id FROM trip AS T1 JOIN station AS T2 ON T1.end_station_id  =  T2.id WHERE T2.city !=  "San Francisco"
SELECT count(*) FROM trip AS T1 JOIN station AS T2 ON T1.end_station_id  =  T2.id WHERE T2.city !=  "San Francisco"
Final question: Count the number of trips that did not end in San Francisco city.
Final SQL: SELECT count(*) FROM trip AS T1 JOIN station AS T2 ON T1.end_station_id  =  T2.id WHERE T2.city !=  "San Francisco"
Database: bike_1
Question sequence:
Which weather events had Fog or Rain?
Which had neither?
Limit the search to zip code 94107.
Just give the date.
SQL query sequence:
SELECT * FROM weather WHERE EVENTS = "Fog" OR EVENTS = "Rain"
SELECT * FROM weather WHERE EVENTS != "Fog" AND EVENTS != "Rain"
SELECT * FROM weather WHERE zip_code  =  94107 AND EVENTS != "Fog" AND EVENTS != "Rain"
SELECT date FROM weather WHERE zip_code  =  94107 AND EVENTS != "Fog" AND EVENTS != "Rain"
Final question: In zip code 94107, on which day neither Fog nor Rain was observed?
Final SQL: SELECT date FROM weather WHERE zip_code  =  94107 AND EVENTS != "Fog" AND EVENTS != "Rain"