jtjt520j/cspider_for_chinese_llama2_1.3b huggingface dataset:
Schema: CREATE TABLE student_course_registrations (course_id VARCHAR, student_id VARCHAR), CREATE TABLE student_course_attendance (course_id VARCHAR, student_id VARCHAR)
user: ID是121的学生所注册或参加的课程的ID是什么？

assistant: SELECT course_id FROM student_course_registrations WHERE student_id = 121 UNION SELECT course_id FROM student_course_attendance WHERE student_id = 121
Schema: CREATE TABLE student_course_registrations (student_id VARCHAR), CREATE TABLE student_course_attendance (student_id VARCHAR)
user: 注册课程但不参加课程的学生都有哪些信息？

assistant: SELECT * FROM student_course_registrations WHERE student_id NOT IN (SELECT student_id FROM student_course_attendance)
Schema: CREATE TABLE student_course_registrations (student_id VARCHAR), CREATE TABLE student_course_attendance (student_id VARCHAR)
user: 注册但没有参加任何课程的学生的详细情况是什么？

assistant: SELECT * FROM student_course_registrations WHERE student_id NOT IN (SELECT student_id FROM student_course_attendance)
Schema: CREATE TABLE courses (course_id VARCHAR, course_name VARCHAR), CREATE TABLE student_course_registrations (course_id VARCHAR, student_id VARCHAR, registration_date VARCHAR)
user: 按照注册日期的顺序列出注册“统计学”课程的学生的ID。

assistant: 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 = "统计学" ORDER BY T2.registration_date
Schema: CREATE TABLE courses (course_id VARCHAR, course_name VARCHAR), CREATE TABLE student_course_registrations (course_id VARCHAR, student_id VARCHAR, registration_date VARCHAR)
user: 按注册日期顺序排序，注册“统计学”课程的学生的ID是什么？

assistant: 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 = "统计学" ORDER BY T2.registration_date
Schema: CREATE TABLE courses (course_id VARCHAR, course_name VARCHAR), CREATE TABLE student_course_attendance (course_id VARCHAR, student_id VARCHAR, date_of_attendance VARCHAR)
user: 按照出勤日期的顺序列出参加“统计学”课程的学生的ID。

assistant: 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 = "统计学" ORDER BY T2.date_of_attendance
Schema: CREATE TABLE courses (course_id VARCHAR, course_name VARCHAR), CREATE TABLE student_course_attendance (course_id VARCHAR, student_id VARCHAR, date_of_attendance VARCHAR)
user: 按照出勤日期的顺序，上“统计学”学院课程的学生的ID是什么？

assistant: 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 = "统计学" ORDER BY T2.date_of_attendance
Schema: CREATE TABLE weather (max_temperature_f INTEGER, date VARCHAR)
user: 给我最高温度高于85的日期。

assistant: SELECT date FROM weather WHERE max_temperature_f  >  85
Schema: CREATE TABLE weather (max_temperature_f INTEGER, date VARCHAR)
user: 最高温度高于85的日期是什么？

assistant: SELECT date FROM weather WHERE max_temperature_f  >  85
Schema: CREATE TABLE station (name VARCHAR, lat INTEGER)
user: 纬度低于37.5的车站名称是什么？

assistant: SELECT name FROM station WHERE lat  <  37.5
Schema: CREATE TABLE station (name VARCHAR, lat INTEGER)
user: 纬度小于37.5的所有车站的名称是什么？

assistant: SELECT name FROM station WHERE lat  <  37.5
Schema: CREATE TABLE station (city VARCHAR, lat INTEGER)
user: 对于每一个城市，返回所有车站的最高纬度。

assistant: SELECT city ,  max(lat) FROM station GROUP BY city
Schema: CREATE TABLE station (city VARCHAR, lat INTEGER)
user: 对于每一个城市来说，其车站的最高纬度是什么？

assistant: SELECT city ,  max(lat) FROM station GROUP BY city
Schema: CREATE TABLE trip (start_station_name VARCHAR, id VARCHAR, end_station_name VARCHAR)
user: 给我三个ID最老的路线的起始站和结束站。

assistant: SELECT start_station_name ,  end_station_name FROM trip ORDER BY id LIMIT 3
Schema: CREATE TABLE trip (start_station_name VARCHAR, id VARCHAR, end_station_name VARCHAR)
user: 三个最小ID的路线的起始站和终点站是什么？

assistant: SELECT start_station_name ,  end_station_name FROM trip ORDER BY id LIMIT 3
Schema: CREATE TABLE station (city VARCHAR, long INTEGER, lat INTEGER)
user: “长沙”市车站平均纬度和经度是多少？

assistant: SELECT avg(lat) ,  avg(long) FROM station WHERE city  =  "长沙"
Schema: CREATE TABLE station (city VARCHAR, long INTEGER, lat INTEGER)
user: “长沙”市的平均纬度和经度是多少？

assistant: SELECT avg(lat) ,  avg(long) FROM station WHERE city  =  "长沙"
Schema: CREATE TABLE trip (duration VARCHAR, id VARCHAR)
user: 长度最短的路线的ID是什么？

assistant: SELECT id FROM trip ORDER BY duration LIMIT 1
Schema: CREATE TABLE trip (duration VARCHAR, id VARCHAR)
user: 最短路线的ID是什么？

assistant: SELECT id FROM trip ORDER BY duration LIMIT 1
Schema: CREATE TABLE trip (bike_id VARCHAR, duration INTEGER)
user: ID为636的自行车的路线的总时间和最大持续时间是多少？

assistant: SELECT sum(duration) ,  max(duration) FROM trip WHERE bike_id  =  636
Schema: CREATE TABLE trip (bike_id VARCHAR, duration INTEGER)
user: ID为636自行车的所有路线的总时间和最大持续时间是多少？

assistant: SELECT sum(duration) ,  max(duration) FROM trip WHERE bike_id  =  636
Schema: CREATE TABLE weather (mean_temperature_f INTEGER, zip_code VARCHAR, date VARCHAR)
user: 对于每个邮编，返回那里8月的平均温度。

assistant: SELECT zip_code  ,  avg(mean_temperature_f) FROM weather WHERE date LIKE "八月" GROUP BY zip_code
Schema: CREATE TABLE weather (mean_temperature_f INTEGER, zip_code VARCHAR, date VARCHAR)
user: 对于每个邮政编码，以“8”开头的所有日期的平均温度是多少？

assistant: SELECT zip_code  ,  avg(mean_temperature_f) FROM weather WHERE date LIKE "八月" GROUP BY zip_code
Schema: CREATE TABLE trip (bike_id VARCHAR)
user: 从路线记录，找出不同的自行车的数量。

assistant: SELECT count(DISTINCT bike_id) FROM trip
Schema: CREATE TABLE trip (bike_id VARCHAR)
user: 有多少个不同的自行车ID？

assistant: SELECT count(DISTINCT bike_id) FROM trip
Schema: CREATE TABLE station (city VARCHAR)
user: 车站所处的不同城市的数量是多少？

assistant: SELECT count(DISTINCT city) FROM station
Schema: CREATE TABLE station (city VARCHAR)
user: 这些车站在多少个不同的城市？

assistant: SELECT count(DISTINCT city) FROM station
Schema: CREATE TABLE station (city VARCHAR)
user: “重庆”城有多少个车站？

assistant: SELECT COUNT(*) FROM station WHERE city  =  "重庆"
Schema: CREATE TABLE station (city VARCHAR)
user: “重庆”有多少车站？

assistant: SELECT COUNT(*) FROM station WHERE city  =  "重庆"
Schema: CREATE TABLE station (id VARCHAR, name VARCHAR), CREATE TABLE status (bikes_available VARCHAR, station_id VARCHAR)
user: 返回曾经有7辆可用自行车的车站的唯一名称。

assistant: SELECT DISTINCT T1.name FROM station AS T1 JOIN status AS T2 ON T1.id  =  T2.station_id WHERE T2.bikes_available  =  7
Schema: CREATE TABLE station (id VARCHAR, name VARCHAR), CREATE TABLE status (bikes_available VARCHAR, station_id VARCHAR)
user: 每个曾经有7辆可用自行车的车站都有哪些不同的名字？

assistant: SELECT DISTINCT T1.name FROM station AS T1 JOIN status AS T2 ON T1.id  =  T2.station_id WHERE T2.bikes_available  =  7
Schema: CREATE TABLE trip (start_station_id VARCHAR, start_date VARCHAR, start_station_name VARCHAR)
user: 哪一个起点站从8月份开始的路线最多？请告诉我车站的名字和ID。

assistant: SELECT start_station_name ,  start_station_id FROM trip WHERE start_date LIKE "八月" GROUP BY start_station_name ORDER BY COUNT(*) DESC LIMIT 1
Schema: CREATE TABLE trip (start_station_id VARCHAR, start_date VARCHAR, start_station_name VARCHAR)
user: 八月份出发次数最多的那个出发站的名称和ID是什么？

assistant: SELECT start_station_name ,  start_station_id FROM trip WHERE start_date LIKE "八月" GROUP BY start_station_name ORDER BY COUNT(*) DESC LIMIT 1
Schema: CREATE TABLE trip (bike_id VARCHAR, zip_code VARCHAR)
user: 哪辆自行车路线在邮政编码94002的地区旅行最多？

assistant: SELECT bike_id FROM trip WHERE zip_code  =  94002 GROUP BY bike_id ORDER BY COUNT(*) DESC LIMIT 1
Schema: CREATE TABLE trip (bike_id VARCHAR, zip_code VARCHAR)
user: 在邮政编码94002的地区中的旅行最多的自行车的ID是多少？

assistant: SELECT bike_id FROM trip WHERE zip_code  =  94002 GROUP BY bike_id ORDER BY COUNT(*) DESC LIMIT 1
Schema: CREATE TABLE weather (mean_humidity INTEGER, mean_visibility_miles INTEGER)
user: 有多少天平均湿度在50以上，平均能见度在8以上？

assistant: SELECT COUNT(*) FROM weather WHERE mean_humidity  >  50 AND mean_visibility_miles  >  8
Schema: CREATE TABLE weather (mean_humidity INTEGER, mean_visibility_miles INTEGER)
user: 平均湿度超过50，平均能见度超过8天的天数是多少？

assistant: SELECT COUNT(*) FROM weather WHERE mean_humidity  >  50 AND mean_visibility_miles  >  8
Schema: CREATE TABLE station (long VARCHAR, lat VARCHAR, city VARCHAR, id VARCHAR), CREATE TABLE trip (duration VARCHAR, start_station_id VARCHAR)
user: 最短的路线开始的车站是的纬度、经度、城市是什么？

assistant: 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
Schema: CREATE TABLE station (long VARCHAR, lat VARCHAR, city VARCHAR, id VARCHAR), CREATE TABLE trip (duration VARCHAR, start_station_id VARCHAR)
user: 从什么纬度、经度和城市的车站开始的路线最短？

assistant: 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
Schema: CREATE TABLE station (city VARCHAR, station_id VARCHAR, id VARCHAR, bikes_available INTEGER), CREATE TABLE status (city VARCHAR, station_id VARCHAR, id VARCHAR, bikes_available INTEGER)
user: 平均自行车可用数在10以上的“厦门”的站台ID是什么？

assistant: SELECT id FROM station WHERE city  =  "厦门" INTERSECT SELECT station_id FROM status GROUP BY station_id HAVING avg(bikes_available)  >  10
Schema: CREATE TABLE station (city VARCHAR, station_id VARCHAR, id VARCHAR, bikes_available INTEGER), CREATE TABLE status (city VARCHAR, station_id VARCHAR, id VARCHAR, bikes_available INTEGER)
user: “厦门”通常有超过10辆可用自行车的车站ID有哪些？

assistant: SELECT id FROM station WHERE city  =  "厦门" INTERSECT SELECT station_id FROM status GROUP BY station_id HAVING avg(bikes_available)  >  10
Schema: CREATE TABLE station (id VARCHAR, name VARCHAR, installation_date VARCHAR), CREATE TABLE status (station_id VARCHAR, bikes_available INTEGER)
user: 平均有14辆以上可用自行车或在12月份安装自行车的车站的名称和ID是什么？

assistant: 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 "十二月"
Schema: CREATE TABLE station (id VARCHAR, name VARCHAR, installation_date VARCHAR), CREATE TABLE status (station_id VARCHAR, bikes_available INTEGER)
user: 平均有14辆以上可用自行车或在12月安装自行车的所有车站的名称和ID是什么？

assistant: 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 "十二月"
Schema: CREATE TABLE weather (cloud_cover VARCHAR, zip_code VARCHAR)
user: 在邮政编码94107的地区，3种最常见的云覆盖率是多少？

assistant: SELECT cloud_cover FROM weather WHERE zip_code  =  94107 GROUP BY cloud_cover ORDER BY COUNT (*) DESC LIMIT 3
Schema: CREATE TABLE weather (cloud_cover VARCHAR, zip_code VARCHAR)
user: 94107邮政编码地区中最常见的3种云覆盖是什么？

assistant: SELECT cloud_cover FROM weather WHERE zip_code  =  94107 GROUP BY cloud_cover ORDER BY COUNT (*) DESC LIMIT 3
Schema: CREATE TABLE weather (mean_sea_level_pressure_inches INTEGER, zip_code VARCHAR)
user: 平均海平面气压最低的地区的邮编是多少？

assistant: SELECT zip_code FROM weather GROUP BY zip_code ORDER BY avg(mean_sea_level_pressure_inches) LIMIT 1
Schema: CREATE TABLE weather (mean_sea_level_pressure_inches INTEGER, zip_code VARCHAR)
user: 平均海平面气压最低的地区邮编是什么？

assistant: SELECT zip_code FROM weather GROUP BY zip_code ORDER BY avg(mean_sea_level_pressure_inches) LIMIT 1
Schema: CREATE TABLE status (city VARCHAR, station_id VARCHAR, bikes_available INTEGER, id VARCHAR), CREATE TABLE station (city VARCHAR, station_id VARCHAR, bikes_available INTEGER, id VARCHAR)
user: 不是位于“西安”市的车站里，自行车的平均可用数是多少？

assistant: SELECT avg(bikes_available) FROM status WHERE station_id NOT IN (SELECT id FROM station WHERE city  =  "西安")
Schema: CREATE TABLE status (city VARCHAR, station_id VARCHAR, bikes_available INTEGER, id VARCHAR), CREATE TABLE station (city VARCHAR, station_id VARCHAR, bikes_available INTEGER, id VARCHAR)
user: 不在“西安”市的车站的平均自行车可用率是多少？

assistant: SELECT avg(bikes_available) FROM status WHERE station_id NOT IN (SELECT id FROM station WHERE city  =  "西安")
Schema: CREATE TABLE station (bikes_available INTEGER, station_id VARCHAR, id VARCHAR, long INTEGER), CREATE TABLE status (bikes_available INTEGER, station_id VARCHAR, id VARCHAR, long INTEGER)
user: 从来没有超过10辆可用自行车的车站的平均经度是多少？

assistant: SELECT avg(long) FROM station WHERE id NOT IN (SELECT station_id FROM status GROUP BY station_id HAVING max(bikes_available)  >  10)
Schema: CREATE TABLE station (bikes_available INTEGER, station_id VARCHAR, id VARCHAR, long INTEGER), CREATE TABLE status (bikes_available INTEGER, station_id VARCHAR, id VARCHAR, long INTEGER)
user: 对于从来没有超过10辆可用自行车的所有车站，它们的平均经度是多少？

assistant: SELECT avg(long) FROM station WHERE id NOT IN (SELECT station_id FROM status GROUP BY station_id HAVING max(bikes_available)  >  10)
Schema: CREATE TABLE weather (zip_code VARCHAR, max_temperature_f INTEGER, date VARCHAR)
user: 什么时候，在什么邮政编码地区最大温度达到80？

assistant: SELECT date ,  zip_code FROM weather WHERE max_temperature_f  >=  80
Schema: CREATE TABLE weather (zip_code VARCHAR, max_temperature_f INTEGER, date VARCHAR)
user: 什么邮政编码地区有一个最高温度大于或等于80的车站，什么时候达到这个温度？

assistant: SELECT date ,  zip_code FROM weather WHERE max_temperature_f  >=  80
Schema: CREATE TABLE trip (zip_code VARCHAR, id VARCHAR), CREATE TABLE weather (mean_temperature_f INTEGER, zip_code VARCHAR)
user: 请给出平均温度高于60度的邮政编码区进行的所有路线的ID。

assistant: 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
Schema: CREATE TABLE trip (zip_code VARCHAR, id VARCHAR), CREATE TABLE weather (mean_temperature_f INTEGER, zip_code VARCHAR)
user: 对于每个邮政编码地区，找到所有具有平均温度在60以上的路线的ID？

assistant: 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
Schema: CREATE TABLE weather (zip_code VARCHAR, max_wind_Speed_mph INTEGER)
user: 对于每个邮编地区，返回最大风速达到25的次数？

assistant: SELECT zip_code , count(*) FROM weather WHERE max_wind_Speed_mph  >=  25 GROUP BY zip_code
Schema: CREATE TABLE weather (zip_code VARCHAR, max_wind_Speed_mph INTEGER)
user: 对于每一个邮政编码地区，多少次最大风速达到25英里每小时？

assistant: SELECT zip_code , count(*) FROM weather WHERE max_wind_Speed_mph  >=  25 GROUP BY zip_code
Schema: CREATE TABLE weather (zip_code VARCHAR, min_dew_point_f INTEGER, date VARCHAR)
user: 哪一天哪个地区的最小露点低于邮编94107地区中任何一天，这些地区的邮编是什么？

assistant: SELECT date ,  zip_code FROM weather WHERE min_dew_point_f  <  (SELECT min(min_dew_point_f) FROM weather WHERE zip_code  =  94107)
Schema: CREATE TABLE weather (zip_code VARCHAR, min_dew_point_f INTEGER, date VARCHAR)
user: 哪些天的最低露点比邮政编码94107中的任何一天都要小，在哪个邮政编码地区中进行测量的？

assistant: SELECT date ,  zip_code FROM weather WHERE min_dew_point_f  <  (SELECT min(min_dew_point_f) FROM weather WHERE zip_code  =  94107)
Schema: CREATE TABLE trip (end_station_id VARCHAR, id VARCHAR), CREATE TABLE station (id VARCHAR, installation_date VARCHAR)
user: 针对每个路线，返回其终点站的安装日期。

assistant: SELECT T1.id ,  T2.installation_date FROM trip AS T1 JOIN station AS T2 ON T1.end_station_id  =  T2.id
Schema: CREATE TABLE trip (end_station_id VARCHAR, id VARCHAR), CREATE TABLE station (id VARCHAR, installation_date VARCHAR)
user: 每个旅程的终点站的安装日期是多少？

assistant: SELECT T1.id ,  T2.installation_date FROM trip AS T1 JOIN station AS T2 ON T1.end_station_id  =  T2.id
Schema: CREATE TABLE trip (start_station_id VARCHAR, id VARCHAR), CREATE TABLE station (id VARCHAR, dock_count VARCHAR)
user: 哪一次旅行从码头数最多的车站开始？把旅行id给我。

assistant: 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
Schema: CREATE TABLE trip (start_station_id VARCHAR, id VARCHAR), CREATE TABLE station (id VARCHAR, dock_count VARCHAR)
user: 从码头数最高的车站出发的旅行ID是什么？

assistant: 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
Schema: CREATE TABLE trip (end_station_id VARCHAR), CREATE TABLE station (city VARCHAR, id VARCHAR)
user: 统计不是结束在“厦门”市的旅行的次数。

assistant: SELECT count(*) FROM trip AS T1 JOIN station AS T2 ON T1.end_station_id  =  T2.id WHERE T2.city !=  "厦门"
Schema: CREATE TABLE trip (end_station_id VARCHAR), CREATE TABLE station (city VARCHAR, id VARCHAR)
user: 有多少次旅行没有结束在“厦门”？

assistant: SELECT count(*) FROM trip AS T1 JOIN station AS T2 ON T1.end_station_id  =  T2.id WHERE T2.city != "厦门"
Schema: CREATE TABLE weather (zip_code VARCHAR, EVENTS VARCHAR, date VARCHAR)
user: 在邮政编码94107，在哪一天既没有“大雨”也没有观察到“大雾”？

assistant: SELECT date FROM weather WHERE zip_code  =  94107 AND EVENTS != "大雾" AND EVENTS != "大雨"
Schema: CREATE TABLE weather (zip_code VARCHAR, EVENTS VARCHAR, date VARCHAR)
user: 在94107的邮政编码哪一天既没有“大雨”也没有“大雾”？

assistant: SELECT date FROM weather WHERE zip_code  =  94107 AND EVENTS != "大雾" AND EVENTS != "大雨"
Schema: CREATE TABLE station (bikes_available INTEGER, station_id VARCHAR, id VARCHAR, lat INTEGER), CREATE TABLE status (bikes_available INTEGER, station_id VARCHAR, id VARCHAR, lat INTEGER)
user: 那些纬度在37.4以上、自行车可用率从来在7以下的车站的ID是多少？

assistant: SELECT id FROM station WHERE lat  >  37.4 EXCEPT SELECT station_id FROM status GROUP BY station_id HAVING min(bikes_available)  <  7
Schema: CREATE TABLE station (bikes_available INTEGER, station_id VARCHAR, id VARCHAR, lat INTEGER), CREATE TABLE status (bikes_available INTEGER, station_id VARCHAR, id VARCHAR, lat INTEGER)
user: 所有纬度在37.4以上、从来没有少于7辆可用自行车的车站的ID是什么？

assistant: SELECT id FROM station WHERE lat  >  37.4 EXCEPT SELECT station_id FROM status GROUP BY station_id HAVING min(bikes_available)  <  7
Schema: CREATE TABLE station (city VARCHAR, name VARCHAR, bikes_available INTEGER), CREATE TABLE status (station_id VARCHAR)
user: 哪些车站的平均自行车供应量超过10而且不位于'“长沙”‘市？

assistant: 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  =  "长沙"
Schema: CREATE TABLE station (city VARCHAR, name VARCHAR, bikes_available INTEGER), CREATE TABLE status (station_id VARCHAR)
user: 有超过十辆自行车，而且不在'“长沙”‘的所有车站都叫什么名字？

assistant: 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  =  "长沙"
Schema: CREATE TABLE station (city VARCHAR, lat VARCHAR, name VARCHAR)
user: 最低纬度的车站的名称、纬度和城市是什么？

assistant: SELECT name ,  lat ,  city FROM station ORDER BY lat LIMIT 1
Schema: CREATE TABLE station (city VARCHAR, lat VARCHAR, name VARCHAR)
user: 位于最南边的火车站的名称、纬度和城市是什么？

assistant: SELECT name ,  lat ,  city FROM station ORDER BY lat LIMIT 1
Schema: CREATE TABLE weather (mean_humidity VARCHAR, mean_temperature_f VARCHAR, max_gust_speed_mph VARCHAR, date VARCHAR)
user: 最大阵风速度最高的3天的日期、平均温度和平均湿度是多少？

assistant: SELECT date ,  mean_temperature_f ,  mean_humidity FROM weather ORDER BY max_gust_speed_mph DESC LIMIT 3
Schema: CREATE TABLE weather (mean_humidity VARCHAR, mean_temperature_f VARCHAR, max_gust_speed_mph VARCHAR, date VARCHAR)
user: 三个最大阵风速度的日子的日期、平均温度和平均湿度是多少？

assistant: SELECT date ,  mean_temperature_f ,  mean_humidity FROM weather ORDER BY max_gust_speed_mph DESC LIMIT 3
Schema: CREATE TABLE station (city VARCHAR)
user: 列出所有至少有15个站点的城市的名称和站点数量。

assistant: SELECT city ,  COUNT(*) FROM station GROUP BY city HAVING COUNT(*)  >=  15
Schema: CREATE TABLE station (city VARCHAR)
user: 每个至少有15个车站的城市叫什么名字？有多少个车站？

assistant: SELECT city ,  COUNT(*) FROM station GROUP BY city HAVING COUNT(*)  >=  15
Schema: CREATE TABLE trip (start_station_name VARCHAR, start_station_id VARCHAR)
user: 查找至少有200个路线开始的站的ID和名称。

assistant: SELECT start_station_id ,  start_station_name FROM trip GROUP BY start_station_name HAVING COUNT(*)  >=  200
Schema: CREATE TABLE trip (start_station_name VARCHAR, start_station_id VARCHAR)
user: 至少是200个路线的出发站的车站的ID和名称是什么？

assistant: SELECT start_station_id ,  start_station_name FROM trip GROUP BY start_station_name HAVING COUNT(*)  >=  200
Schema: CREATE TABLE weather (zip_code VARCHAR, mean_visibility_miles INTEGER)
user: 找到平均能见度低于10的地区的邮政编码。

assistant: SELECT zip_code FROM weather GROUP BY zip_code HAVING avg(mean_visibility_miles)  <  10
Schema: CREATE TABLE weather (zip_code VARCHAR, mean_visibility_miles INTEGER)
user: 对于每个邮政编码，选择那些平均可见度低于10的地区的邮政编码。

assistant: SELECT zip_code FROM weather GROUP BY zip_code HAVING avg(mean_visibility_miles)  <  10
Schema: CREATE TABLE station (city VARCHAR, lat INTEGER)
user: 按照每个城市站点的最高纬度的递减顺序列出所有城市。

assistant: SELECT city FROM station GROUP BY city ORDER BY max(lat) DESC
Schema: CREATE TABLE station (city VARCHAR, lat INTEGER)
user: 对于每个城市，按其最高站点纬度降序排列，列出它们的名称。

assistant: SELECT city FROM station GROUP BY city ORDER BY max(lat) DESC
Schema: CREATE TABLE weather (cloud_cover VARCHAR, date VARCHAR)
user: 前5的云覆盖率的日期是什么？并告诉我云的覆盖率。

assistant: SELECT date ,  cloud_cover FROM weather ORDER BY cloud_cover DESC LIMIT 5
Schema: CREATE TABLE weather (cloud_cover VARCHAR, date VARCHAR)
user: 前5高的云覆盖率的日期是什么，覆盖率是多少？

assistant: SELECT date ,  cloud_cover FROM weather ORDER BY cloud_cover DESC LIMIT 5
Schema: CREATE TABLE trip (duration VARCHAR, id VARCHAR)
user: 前3的持续时间的路线的ID和持续时间是什么？

assistant: SELECT id ,  duration FROM trip ORDER BY duration DESC LIMIT 3
Schema: CREATE TABLE trip (duration VARCHAR, id VARCHAR)
user: 持续时间最长的路线ID是什么？路线时间多长？

assistant: SELECT id ,  duration FROM trip ORDER BY duration DESC LIMIT 3
Schema: CREATE TABLE station (long VARCHAR, id VARCHAR, name VARCHAR), CREATE TABLE trip (start_station_id VARCHAR, duration INTEGER)
user: 对于每个站点，返回其经度和从该站点开始的路线的平均持续时间。

assistant: 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
Schema: CREATE TABLE station (long VARCHAR, id VARCHAR, name VARCHAR), CREATE TABLE trip (start_station_id VARCHAR, duration INTEGER)
user: 对于每个起始站ID，它的名称、经度和在那里开始的路线的平均持续时间是什么？

assistant: 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
Schema: CREATE TABLE station (lat VARCHAR, name VARCHAR, id VARCHAR), CREATE TABLE trip (end_station_id VARCHAR, duration INTEGER)
user: 对于每个车站，找到它的纬度和在这个车站结束的路线的最小持续时间。

assistant: 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
Schema: CREATE TABLE station (lat VARCHAR, name VARCHAR, id VARCHAR), CREATE TABLE trip (end_station_id VARCHAR, duration INTEGER)
user: 对于每个终点站ID，它的名称、纬度和以此为终点站的路线的最短持续时间是什么？

assistant: 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
Schema: CREATE TABLE trip (start_station_name VARCHAR, duration INTEGER)
user: 列出所有持续时间低于100的路线的不同起始车站。

assistant: SELECT DISTINCT start_station_name FROM trip WHERE duration  <  100
Schema: CREATE TABLE trip (start_station_name VARCHAR, duration INTEGER)
user: 对于持续时间不到100的路线，不同的起点站名是什么？

assistant: SELECT DISTINCT start_station_name FROM trip WHERE duration  <  100
Schema: CREATE TABLE weather (zip_code VARCHAR, max_dew_point_f INTEGER)
user: 查找所有最大露点从未达到70的邮政编码。

assistant: SELECT DISTINCT zip_code FROM weather EXCEPT SELECT DISTINCT zip_code FROM weather WHERE max_dew_point_f  >=  70
Schema: CREATE TABLE weather (zip_code VARCHAR, max_dew_point_f INTEGER)
user: 哪些地区的最大露点总是低于70，这些地区的不同邮编是多少？

assistant: SELECT DISTINCT zip_code FROM weather EXCEPT SELECT DISTINCT zip_code FROM weather WHERE max_dew_point_f  >=  70
Schema: CREATE TABLE trip (zip_code VARCHAR, id VARCHAR, duration INTEGER)
user: 在邮政编码94103地区中，查找至少与路线平均持续时间一样长的路线的id。

assistant: SELECT id FROM trip WHERE duration  >=  (SELECT avg(duration) FROM trip WHERE zip_code  =  94103)
Schema: CREATE TABLE trip (zip_code VARCHAR, id VARCHAR, duration INTEGER)
user: 邮政编码94103地区中持续时间和平均旅行持续时间一样长的所有路线的id是什么？

assistant: SELECT id FROM trip WHERE duration  >=  (SELECT avg(duration) FROM trip WHERE zip_code  =  94103)
Schema: CREATE TABLE weather (mean_sea_level_pressure_inches INTEGER, date VARCHAR)
user: 平均海平面气压在30.3到31之间的日期是什么？

assistant: SELECT date FROM weather WHERE mean_sea_level_pressure_inches BETWEEN 30.3 AND 31
Schema: CREATE TABLE weather (mean_sea_level_pressure_inches INTEGER, date VARCHAR)
user: 哪些日子的平均海平面气压在30.3到31之间？

assistant: SELECT date FROM weather WHERE mean_sea_level_pressure_inches BETWEEN 30.3 AND 31