jtjt520j/cspider_for_chinese_llama2_1.3b huggingface dataset:
Schema: CREATE TABLE ship (ship_id VARCHAR, name VARCHAR), CREATE TABLE captain (ship_id VARCHAR, rank VARCHAR)
user: 既由“少尉”级别的船长也由“中尉”级别的船长驾驶的船名是什么？

assistant: SELECT t1.name FROM ship AS t1 JOIN captain AS t2 ON t1.ship_id  =  t2.ship_id WHERE t2.rank  =  "少尉" INTERSECT SELECT t1.name FROM ship AS t1 JOIN captain AS t2 ON t1.ship_id  =  t2.ship_id WHERE t2.rank  =  "中尉"
Schema: CREATE TABLE hosting_city (host_city VARCHAR, YEAR VARCHAR)
user: 最近一年举办活动的城市的ID是什么？

assistant: SELECT host_city FROM hosting_city ORDER BY YEAR DESC LIMIT 1
Schema: CREATE TABLE hosting_city (host_city VARCHAR, YEAR VARCHAR)
user: 找出最近几年举办过一些活动的城市。这个城市的ID是什么？

assistant: SELECT host_city FROM hosting_city ORDER BY YEAR DESC LIMIT 1
Schema: CREATE TABLE MATCH (match_id VARCHAR, competition VARCHAR)
user: 找出举办“1994年世界杯资格赛”的城市比赛ID。

assistant: SELECT match_id FROM MATCH WHERE competition = "1994年世界杯资格赛"
Schema: CREATE TABLE MATCH (match_id VARCHAR, competition VARCHAR)
user: “1994年世界杯资格赛”的比赛ID是什么？

assistant: SELECT match_id FROM MATCH WHERE competition = "1994年世界杯资格赛"
Schema: CREATE TABLE city (city_id VARCHAR, city VARCHAR), CREATE TABLE hosting_city (host_city VARCHAR, year INTEGER)
user: 找出在2010后曾经是主办城市的城市。

assistant: SELECT T1.city FROM city AS T1 JOIN hosting_city AS T2 ON T1.city_id = T2.host_city WHERE T2.year  >  2010
Schema: CREATE TABLE city (city_id VARCHAR, city VARCHAR), CREATE TABLE hosting_city (host_city VARCHAR, year INTEGER)
user: 哪些城市在2010后成为主办城市？

assistant: SELECT T1.city FROM city AS T1 JOIN hosting_city AS T2 ON T1.city_id = T2.host_city WHERE T2.year  >  2010
Schema: CREATE TABLE city (city_id VARCHAR, city VARCHAR), CREATE TABLE hosting_city (host_city VARCHAR)
user: 哪个城市举办过最多的活动？

assistant: SELECT T1.city FROM city AS T1 JOIN hosting_city AS T2 ON T1.city_id  =  T2.host_city GROUP BY T2.host_city ORDER BY count(*) DESC LIMIT 1
Schema: CREATE TABLE city (city_id VARCHAR, city VARCHAR), CREATE TABLE hosting_city (host_city VARCHAR)
user: 找出主办最多活动的城市。

assistant: SELECT T1.city FROM city AS T1 JOIN hosting_city AS T2 ON T1.city_id  =  T2.host_city GROUP BY T2.host_city ORDER BY count(*) DESC LIMIT 1
Schema: CREATE TABLE city (city_id VARCHAR, city VARCHAR), CREATE TABLE hosting_city (host_city VARCHAR, match_id VARCHAR), CREATE TABLE MATCH (match_id VARCHAR, competition VARCHAR, venue VARCHAR)
user: “南京 (江苏)”主办的“1994年世界杯资格赛”的比赛地点是什么？

assistant: SELECT T3.venue FROM city AS T1 JOIN hosting_city AS T2 ON T1.city_id = T2.host_city JOIN MATCH AS T3 ON T2.match_id = T3.match_id WHERE T1.city = "南京 (江苏)" AND T3.competition = "1994年世界杯资格赛"
Schema: CREATE TABLE city (city_id VARCHAR, city VARCHAR), CREATE TABLE hosting_city (host_city VARCHAR, match_id VARCHAR), CREATE TABLE MATCH (match_id VARCHAR, competition VARCHAR, venue VARCHAR)
user: 寻出由“南京 (江苏)”主办的“1994年世界杯资格赛”的比赛地点。

assistant: SELECT T3.venue FROM city AS T1 JOIN hosting_city AS T2 ON T1.city_id = T2.host_city JOIN MATCH AS T3 ON T2.match_id = T3.match_id WHERE T1.city = "南京 (江苏)" AND T3.competition = "1994年世界杯资格赛"
Schema: CREATE TABLE city (city_id VARCHAR, city VARCHAR), CREATE TABLE temperature (Jan VARCHAR, city_id VARCHAR)
user: 请告诉我一月“上海”的天气。

assistant: SELECT T2.Jan FROM city AS T1 JOIN temperature AS T2 ON T1.city_id = T2.city_id WHERE T1.city = "上海"
Schema: CREATE TABLE city (city_id VARCHAR, city VARCHAR), CREATE TABLE temperature (Jan VARCHAR, city_id VARCHAR)
user: 一月“上海”城市的气温是多少？

assistant: SELECT T2.Jan FROM city AS T1 JOIN temperature AS T2 ON T1.city_id = T2.city_id WHERE T1.city = "上海"
Schema: CREATE TABLE city (city_id VARCHAR, city VARCHAR), CREATE TABLE hosting_city (year VARCHAR, host_city VARCHAR)
user: “台州 (浙江)”作为主办城市的年份是什么？

assistant: SELECT T2.year FROM city AS T1 JOIN hosting_city AS T2 ON T1.city_id  =  T2.host_city WHERE T1.city  =  "台州 (浙江)"
Schema: CREATE TABLE city (city_id VARCHAR, city VARCHAR), CREATE TABLE hosting_city (year VARCHAR, host_city VARCHAR)
user: 城市“台州 (浙江)”在哪一年担任主办城市？

assistant: SELECT T2.year FROM city AS T1 JOIN hosting_city AS T2 ON T1.city_id  =  T2.host_city WHERE T1.city  =  "台州 (浙江)"
Schema: CREATE TABLE city (regional_population VARCHAR, city VARCHAR)
user: 哪三个城市地区人口最多？

assistant: SELECT city FROM city ORDER BY regional_population DESC LIMIT 3
Schema: CREATE TABLE city (regional_population VARCHAR, city VARCHAR)
user: 地区人口的三个城市城市是什么？

assistant: SELECT city FROM city ORDER BY regional_population DESC LIMIT 3
Schema: CREATE TABLE city (GDP VARCHAR, city VARCHAR)
user: 哪个城市的GDP最低？请列出城市名称及其GDP 。

assistant: SELECT city ,  GDP FROM city ORDER BY GDP LIMIT 1
Schema: CREATE TABLE city (GDP VARCHAR, city VARCHAR)
user: GDP最小的城市是什么？返回城市及其GDP 。

assistant: SELECT city ,  GDP FROM city ORDER BY GDP LIMIT 1
Schema: CREATE TABLE city (city_id VARCHAR, city VARCHAR), CREATE TABLE temperature (city_id VARCHAR, Feb VARCHAR)
user: 二月哪个城市的气温最高？

assistant: SELECT T1.city FROM city AS T1 JOIN temperature AS T2 ON T1.city_id  =  T2.city_id ORDER BY T2.Feb DESC LIMIT 1
Schema: CREATE TABLE city (city_id VARCHAR, city VARCHAR), CREATE TABLE temperature (city_id VARCHAR, Feb VARCHAR)
user: 在二月，哪个城市的气温最高？

assistant: SELECT T1.city FROM city AS T1 JOIN temperature AS T2 ON T1.city_id  =  T2.city_id ORDER BY T2.Feb DESC LIMIT 1
Schema: CREATE TABLE city (city_id VARCHAR, city VARCHAR), CREATE TABLE temperature (Mar INTEGER, Jul INTEGER, city_id VARCHAR, Oct INTEGER)
user: 给我一张3月份气温低于7月份或高于10月份的城市名单。

assistant: SELECT T1.city FROM city AS T1 JOIN temperature AS T2 ON T1.city_id  =  T2.city_id WHERE T2.Mar  <  T2.Jul OR T2.Mar  >  T2.Oct
Schema: CREATE TABLE city (city_id VARCHAR, city VARCHAR), CREATE TABLE temperature (Mar INTEGER, Jul INTEGER, city_id VARCHAR, Oct INTEGER)
user: 3月份哪些城市的气温低于7月份或高于10月份？

assistant: SELECT T1.city FROM city AS T1 JOIN temperature AS T2 ON T1.city_id  =  T2.city_id WHERE T2.Mar  <  T2.Jul OR T2.Mar  >  T2.Oct
Schema: CREATE TABLE city (city_id VARCHAR, city VARCHAR), CREATE TABLE temperature (Mar INTEGER, Jul INTEGER, city_id VARCHAR), CREATE TABLE hosting_city (host_city VARCHAR)
user: 给我一张3月份气温低于7月份且也曾作为主办城市的城市名单。

assistant: SELECT T1.city FROM city AS T1 JOIN temperature AS T2 ON T1.city_id  =  T2.city_id WHERE T2.Mar  <  T2.Jul INTERSECT SELECT T3.city FROM city AS T3 JOIN hosting_city AS T4 ON T3.city_id  =  T4.host_city
Schema: CREATE TABLE city (city_id VARCHAR, city VARCHAR), CREATE TABLE temperature (Mar INTEGER, Jul INTEGER, city_id VARCHAR), CREATE TABLE hosting_city (host_city VARCHAR)
user: 哪些城市3月份的温度比7月份低，并且曾经是主办城市？

assistant: SELECT T1.city FROM city AS T1 JOIN temperature AS T2 ON T1.city_id  =  T2.city_id WHERE T2.Mar  <  T2.Jul INTERSECT SELECT T3.city FROM city AS T3 JOIN hosting_city AS T4 ON T3.city_id  =  T4.host_city
Schema: CREATE TABLE city (city_id VARCHAR, city VARCHAR), CREATE TABLE temperature (Mar INTEGER, city_id VARCHAR, Dec INTEGER), CREATE TABLE hosting_city (host_city VARCHAR)
user: 给我一张3月份气温低于12月份并且从未成为主办城市的城市名单。

assistant: SELECT T1.city FROM city AS T1 JOIN temperature AS T2 ON T1.city_id  =  T2.city_id WHERE T2.Mar  <  T2.Dec EXCEPT SELECT T3.city FROM city AS T3 JOIN hosting_city AS T4 ON T3.city_id  =  T4.host_city
Schema: CREATE TABLE city (city_id VARCHAR, city VARCHAR), CREATE TABLE temperature (Mar INTEGER, city_id VARCHAR, Dec INTEGER), CREATE TABLE hosting_city (host_city VARCHAR)
user: 哪些城市3月份的温度比12月份低，且从未作为主办城市？

assistant: SELECT T1.city FROM city AS T1 JOIN temperature AS T2 ON T1.city_id  =  T2.city_id WHERE T2.Mar  <  T2.Dec EXCEPT SELECT T3.city FROM city AS T3 JOIN hosting_city AS T4 ON T3.city_id  =  T4.host_city
Schema: CREATE TABLE city (city_id VARCHAR, city VARCHAR), CREATE TABLE temperature (Feb INTEGER, city_id VARCHAR, Jun INTEGER), CREATE TABLE hosting_city (host_city VARCHAR)
user: 给我一张2月份气温高于6月份的城市名单或曾经是主办城市的城市名单。

assistant: SELECT T1.city FROM city AS T1 JOIN temperature AS T2 ON T1.city_id  =  T2.city_id WHERE T2.Feb  >  T2.Jun UNION SELECT T3.city FROM city AS T3 JOIN hosting_city AS T4 ON T3.city_id  =  T4.host_city
Schema: CREATE TABLE city (city_id VARCHAR, city VARCHAR), CREATE TABLE temperature (Feb INTEGER, city_id VARCHAR, Jun INTEGER), CREATE TABLE hosting_city (host_city VARCHAR)
user: 哪些城市2月份的温度比6月份高，或者曾经是主办城市？

assistant: SELECT T1.city FROM city AS T1 JOIN temperature AS T2 ON T1.city_id  =  T2.city_id WHERE T2.Feb  >  T2.Jun UNION SELECT T3.city FROM city AS T3 JOIN hosting_city AS T4 ON T3.city_id  =  T4.host_city
Schema: CREATE TABLE city (city VARCHAR, regional_population INTEGER)
user: 请给我一份地区人口超过10000000的城市名单。

assistant: SELECT city FROM city WHERE regional_population  >  10000000
Schema: CREATE TABLE city (city VARCHAR, regional_population INTEGER)
user: 哪些城市的人口超过10000000？

assistant: SELECT city FROM city WHERE regional_population  >  10000000
Schema: CREATE TABLE city (city VARCHAR, regional_population INTEGER)
user: 请给我一张地区人口超过80万或低于50万的城市名单。

assistant: SELECT city FROM city WHERE regional_population  >  10000000 UNION SELECT city FROM city WHERE regional_population  <  5000000
Schema: CREATE TABLE city (city VARCHAR, regional_population INTEGER)
user: 哪些城市的人口超过8000000或低于5000000？

assistant: SELECT city FROM city WHERE regional_population  >  10000000 UNION SELECT city FROM city WHERE regional_population  <  5000000
Schema: CREATE TABLE MATCH (Competition VARCHAR)
user: 找出在不同的比赛中比赛的数量。

assistant: SELECT count(*) ,  Competition FROM MATCH GROUP BY Competition
Schema: CREATE TABLE MATCH (Competition VARCHAR)
user: 对于每一场比赛，计算比赛的数量。

assistant: SELECT count(*) ,  Competition FROM MATCH GROUP BY Competition
Schema: CREATE TABLE MATCH (date VARCHAR, venue VARCHAR)
user: 从最近的比赛开始，按照比赛日期的顺序列出所有比赛的场地。

assistant: SELECT venue FROM MATCH ORDER BY date DESC
Schema: CREATE TABLE MATCH (date VARCHAR, venue VARCHAR)
user: 所有比赛的场地是什么？按匹配日期的降序对它们排序。

assistant: SELECT venue FROM MATCH ORDER BY date DESC
Schema: CREATE TABLE city (Regional_Population VARCHAR, gdp VARCHAR)
user: 人口最多的城市的GDP是多少？

assistant: SELECT gdp FROM city ORDER BY Regional_Population DESC LIMIT 1
Schema: CREATE TABLE city (Regional_Population VARCHAR, gdp VARCHAR)
user: 找出人口最多的城市的GDP。

assistant: SELECT gdp FROM city ORDER BY Regional_Population DESC LIMIT 1
Schema: CREATE TABLE city (city_id VARCHAR), CREATE TABLE hosting_city (host_city VARCHAR)
user: 不止一次作为主办城市的GDP和人口数是多少？

assistant: SELECT t1.gdp ,  t1.Regional_Population FROM city AS T1 JOIN hosting_city AS T2 ON T1.city_id  =  T2.host_city GROUP BY t2.Host_City HAVING count(*)  >  1
Schema: CREATE TABLE city (city_id VARCHAR), CREATE TABLE hosting_city (host_city VARCHAR)
user: 哪些城市曾经不止一次作为主办城市？返回其GDP和人口。

assistant: SELECT t1.gdp ,  t1.Regional_Population FROM city AS T1 JOIN hosting_city AS T2 ON T1.city_id  =  T2.host_city GROUP BY t2.Host_City HAVING count(*)  >  1
Schema: CREATE TABLE individuals (individual_middle_name VARCHAR, individual_first_name VARCHAR, individual_last_name VARCHAR)
user: 按姓氏的字母顺序列出每个人的名字、中间名和姓氏。

assistant: SELECT individual_first_name ,  individual_middle_name ,  individual_last_name FROM individuals ORDER BY individual_last_name
Schema: CREATE TABLE individuals (individual_middle_name VARCHAR, individual_first_name VARCHAR, individual_last_name VARCHAR)
user: 按姓氏排序的所有人的名字、中间名和姓氏是什么？

assistant: SELECT individual_first_name ,  individual_middle_name ,  individual_last_name FROM individuals ORDER BY individual_last_name
Schema: CREATE TABLE forms (form_type_code VARCHAR)
user: 列出所有类型的表单。

assistant: SELECT DISTINCT form_type_code FROM forms
Schema: CREATE TABLE forms (form_type_code VARCHAR)
user: 有什么不同形式的表单？

assistant: SELECT DISTINCT form_type_code FROM forms
Schema: CREATE TABLE forms (form_name VARCHAR, form_id VARCHAR), CREATE TABLE party_forms (form_id VARCHAR)
user: 找出最流行的组织形式的名称。

assistant: SELECT t1.form_name FROM forms AS t1 JOIN party_forms AS t2 ON t1.form_id  =  t2.form_id GROUP BY t2.form_id ORDER BY count(*) DESC LIMIT 1
Schema: CREATE TABLE forms (form_name VARCHAR, form_id VARCHAR), CREATE TABLE party_forms (form_id VARCHAR)
user: 最常见组织形式的名称是什么？

assistant: SELECT t1.form_name FROM forms AS t1 JOIN party_forms AS t2 ON t1.form_id  =  t2.form_id GROUP BY t2.form_id ORDER BY count(*) DESC LIMIT 1
Schema: CREATE TABLE parties (party_email VARCHAR, payment_method_code VARCHAR, party_phone VARCHAR)
user: 通过电子邮件“enrico09@example.com”查找对方的支付方式和组织电话。

assistant: SELECT payment_method_code ,  party_phone FROM parties WHERE party_email  =  "enrico09@example.com"
Schema: CREATE TABLE parties (party_email VARCHAR, payment_method_code VARCHAR, party_phone VARCHAR)
user: 电子邮件“enrico09@example.com”的支付方式码和组织电话是什么？

assistant: SELECT payment_method_code ,  party_phone FROM parties WHERE party_email  =  "enrico09@example.com"
Schema: CREATE TABLE parties (party_email VARCHAR, party_id VARCHAR), CREATE TABLE party_forms (form_id VARCHAR)
user: 找处最流行的组织形式的组织电子邮件。

assistant: SELECT t1.party_email FROM parties AS t1 JOIN party_forms AS t2 ON t1.party_id  =  t2.party_id WHERE t2.form_id  =  (SELECT form_id FROM party_forms GROUP BY form_id ORDER BY count(*) DESC LIMIT 1)
Schema: CREATE TABLE parties (party_email VARCHAR, party_id VARCHAR), CREATE TABLE party_forms (form_id VARCHAR)
user: 使用最常用的组织形式的聚会电子邮件是什么？

assistant: SELECT t1.party_email FROM parties AS t1 JOIN party_forms AS t2 ON t1.party_id  =  t2.party_id WHERE t2.form_id  =  (SELECT form_id FROM party_forms GROUP BY form_id ORDER BY count(*) DESC LIMIT 1)
Schema: CREATE TABLE organizations (organization_name VARCHAR, date_formed VARCHAR)
user: 列出根据建立日期顺序的所有组织名称。

assistant: SELECT organization_name FROM organizations ORDER BY date_formed ASC
Schema: CREATE TABLE organizations (organization_name VARCHAR, date_formed VARCHAR)
user: 根据建立日期升序的所有组织名称是什么？

assistant: SELECT organization_name FROM organizations ORDER BY date_formed ASC
Schema: CREATE TABLE organizations (organization_name VARCHAR, date_formed VARCHAR)
user: 找出最年轻的组织的名字。

assistant: SELECT organization_name FROM organizations ORDER BY date_formed DESC LIMIT 1
Schema: CREATE TABLE organizations (organization_name VARCHAR, date_formed VARCHAR)
user: 最近成立的组织的名称是什么？

assistant: SELECT organization_name FROM organizations ORDER BY date_formed DESC LIMIT 1
Schema: CREATE TABLE organizations (organization_name VARCHAR, organization_id VARCHAR), CREATE TABLE organization_contact_individuals (organization_id VARCHAR, individual_id VARCHAR, date_contact_to VARCHAR), CREATE TABLE individuals (individual_id VARCHAR, individual_last_name VARCHAR)
user: 找出“民进党”组织最新联系人的姓氏。

assistant: SELECT t3.individual_last_name FROM organizations AS t1 JOIN organization_contact_individuals AS t2 ON t1.organization_id  =  t2.organization_id JOIN individuals AS t3 ON t2.individual_id  =  t3.individual_id WHERE t1.organization_name  =  "民进党" ORDER BY t2.date_contact_to DESC LIMIT 1
Schema: CREATE TABLE organizations (organization_name VARCHAR, organization_id VARCHAR), CREATE TABLE organization_contact_individuals (organization_id VARCHAR, individual_id VARCHAR, date_contact_to VARCHAR), CREATE TABLE individuals (individual_id VARCHAR, individual_last_name VARCHAR)
user: “民进党”组织最新联系人的姓氏是什么？

assistant: SELECT t3.individual_last_name FROM organizations AS t1 JOIN organization_contact_individuals AS t2 ON t1.organization_id  =  t2.organization_id JOIN individuals AS t3 ON t2.individual_id  =  t3.individual_id WHERE t1.organization_name  =  "民进党" ORDER BY t2.date_contact_to DESC LIMIT 1
Schema: CREATE TABLE organizations (uk_vat_number INTEGER), CREATE TABLE organization_contact_individuals (organization_id VARCHAR, individual_id VARCHAR, date_contact_to VARCHAR), CREATE TABLE individuals (individual_id VARCHAR, individual_last_name VARCHAR)
user: 找出该组织中具有最高的UK Vat号码的第一联系人的姓氏。

assistant: SELECT t3.individual_last_name FROM organizations AS t1 JOIN organization_contact_individuals AS t2 ON t1.organization_id  =  t2.organization_id JOIN individuals AS t3 ON t2.individual_id  =  t3.individual_id WHERE t1.uk_vat_number  =  (SELECT max(uk_vat_number) FROM organizations) ORDER BY t2.date_contact_to ASC LIMIT 1
Schema: CREATE TABLE organizations (uk_vat_number INTEGER), CREATE TABLE organization_contact_individuals (organization_id VARCHAR, individual_id VARCHAR, date_contact_to VARCHAR), CREATE TABLE individuals (individual_id VARCHAR, individual_last_name VARCHAR)
user: 该组织中具有最高的UK Vat号码的第一联系人的姓氏是什么？

assistant: SELECT t3.individual_last_name FROM organizations AS t1 JOIN organization_contact_individuals AS t2 ON t1.organization_id  =  t2.organization_id JOIN individuals AS t3 ON t2.individual_id  =  t3.individual_id WHERE t1.uk_vat_number  =  (SELECT max(uk_vat_number) FROM organizations) ORDER BY t2.date_contact_to ASC LIMIT 1
Schema: CREATE TABLE services (Id VARCHAR)
user: 那里有多少服务？

assistant: SELECT count(*) FROM services
Schema: CREATE TABLE services (Id VARCHAR)
user: 统计服务的数量。

assistant: SELECT count(*) FROM services
Schema: CREATE TABLE services (service_name VARCHAR, service_id VARCHAR), CREATE TABLE party_services (service_id VARCHAR)
user: 找出从未使用过的服务的名称。

assistant: SELECT service_name FROM services EXCEPT SELECT t1.service_name FROM services AS t1 JOIN party_services AS t2 ON t1.service_id  =  t2.service_id
Schema: CREATE TABLE services (service_name VARCHAR, service_id VARCHAR), CREATE TABLE party_services (service_id VARCHAR)
user: 那些从未使用过的服务的名称是什么？

assistant: SELECT service_name FROM services EXCEPT SELECT t1.service_name FROM services AS t1 JOIN party_services AS t2 ON t1.service_id  =  t2.service_id
Schema: CREATE TABLE addresses (state_province_county VARCHAR, town_city VARCHAR)
user: 找出所有城市和省的名字。

assistant: SELECT town_city FROM addresses UNION SELECT state_province_county FROM addresses
Schema: CREATE TABLE addresses (state_province_county VARCHAR, town_city VARCHAR)
user: 所有的城市和省的名字是什么？

assistant: SELECT town_city FROM addresses UNION SELECT state_province_county FROM addresses
Schema: CREATE TABLE addresses (state_province_county VARCHAR)
user: “河北”省有多少个城市？

assistant: SELECT count(*) FROM addresses WHERE state_province_county  =  "河北"
Schema: CREATE TABLE addresses (state_province_county VARCHAR)
user: 统计“河北”省的城市数量。

assistant: SELECT count(*) FROM addresses WHERE state_province_county  =  "河北"
Schema: CREATE TABLE parties (payment_method_code VARCHAR)
user: 找出超过3方使用的支付方法代码。

assistant: SELECT payment_method_code FROM parties GROUP BY payment_method_code HAVING count(*)  >  3
Schema: CREATE TABLE parties (payment_method_code VARCHAR)
user: 超过3方使用的支付方法代码是什么？

assistant: SELECT payment_method_code FROM parties GROUP BY payment_method_code HAVING count(*)  >  3
Schema: CREATE TABLE organizations (organization_name VARCHAR)
user: 查找其名称包含“组织”的组织名称。

assistant: SELECT organization_name FROM organizations WHERE organization_name LIKE "%组织%"
Schema: CREATE TABLE organizations (organization_name VARCHAR)
user: 包含“组织”一词的组织名称是什么？

assistant: SELECT organization_name FROM organizations WHERE organization_name LIKE "%组织%"
Schema: CREATE TABLE parties (payment_method_code VARCHAR)
user: 组织使用了多少种不同的支付方式？

assistant: SELECT count(DISTINCT payment_method_code) FROM parties
Schema: CREATE TABLE parties (payment_method_code VARCHAR)
user: 计算组织使用的不同支付方法代码的数量。

assistant: SELECT count(DISTINCT payment_method_code) FROM parties
Schema: CREATE TABLE parties (party_email VARCHAR, party_id VARCHAR), CREATE TABLE party_services (customer_id VARCHAR)
user: 使用服务次数最多的组织的电子邮件是哪一个？

assistant: SELECT t1.party_email FROM parties AS t1 JOIN party_services AS t2 ON t1.party_id  =  t2.customer_id GROUP BY t1.party_email ORDER BY count(*) DESC LIMIT 1
Schema: CREATE TABLE parties (party_email VARCHAR, party_id VARCHAR), CREATE TABLE party_services (customer_id VARCHAR)
user: 返回使用服务次数最多的组织的电子邮件。

assistant: SELECT t1.party_email FROM parties AS t1 JOIN party_services AS t2 ON t1.party_id  =  t2.customer_id GROUP BY t1.party_email ORDER BY count(*) DESC LIMIT 1
Schema: CREATE TABLE addresses (state_province_county VARCHAR, line_1_number_building VARCHAR)
user: 地址“石龙山街18号”可能在哪个省？

assistant: SELECT state_province_county FROM addresses WHERE line_1_number_building LIKE "%石龙山街18号%"
Schema: CREATE TABLE addresses (state_province_county VARCHAR, line_1_number_building VARCHAR)
user: 给出地址“石龙山街18号”的所在省。

assistant: SELECT state_province_county FROM addresses WHERE line_1_number_building LIKE "%石龙山街18号%"
Schema: CREATE TABLE organizations (organization_name VARCHAR, organization_id VARCHAR), CREATE TABLE organization_contact_individuals (organization_id VARCHAR)
user: 联系人数最多的组织的名称是什么？

assistant: SELECT t1.organization_name FROM organizations AS t1 JOIN organization_contact_individuals AS t2 ON t1.organization_id  =  t2.organization_id GROUP BY t1.organization_name ORDER BY count(*) DESC LIMIT 1
Schema: CREATE TABLE organizations (organization_name VARCHAR, organization_id VARCHAR), CREATE TABLE organization_contact_individuals (organization_id VARCHAR)
user: 返回联系人数最多的组织的名称。

assistant: SELECT t1.organization_name FROM organizations AS t1 JOIN organization_contact_individuals AS t2 ON t1.organization_id  =  t2.organization_id GROUP BY t1.organization_name ORDER BY count(*) DESC LIMIT 1
Schema: CREATE TABLE individuals (individual_id VARCHAR, individual_last_name VARCHAR), CREATE TABLE organization_contact_individuals (individual_id VARCHAR)
user: 找出已经与组织进行个人联系的联系人的姓氏。

assistant: SELECT DISTINCT t1.individual_last_name FROM individuals AS t1 JOIN organization_contact_individuals AS t2 ON t1.individual_id  =  t2.individual_id
Schema: CREATE TABLE individuals (individual_id VARCHAR, individual_last_name VARCHAR), CREATE TABLE organization_contact_individuals (individual_id VARCHAR)
user: 进行个人联系的联系人的姓氏是什么？

assistant: SELECT DISTINCT t1.individual_last_name FROM individuals AS t1 JOIN organization_contact_individuals AS t2 ON t1.individual_id  =  t2.individual_id
Schema: CREATE TABLE driver (Id VARCHAR)
user: 那儿有多少司机？

assistant: SELECT count(*) FROM driver
Schema: CREATE TABLE driver (age VARCHAR, name VARCHAR, home_city VARCHAR)
user: 显示所有司机的姓名、家乡和年龄。

assistant: SELECT name ,  home_city ,  age FROM driver
Schema: CREATE TABLE driver (party VARCHAR)
user: 显示组织和每个组织的司机数量。

assistant: SELECT party ,  count(*) FROM driver GROUP BY party
Schema: CREATE TABLE driver (age VARCHAR, name VARCHAR)
user: 按年龄递减顺序显示驾驶员姓名。

assistant: SELECT name FROM driver ORDER BY age DESC
Schema: CREATE TABLE driver (home_city VARCHAR)
user: 展示所有不同的家乡城市。

assistant: SELECT DISTINCT home_city FROM driver
Schema: CREATE TABLE driver (home_city VARCHAR)
user: 显示有最多数量司机的家乡城市。

assistant: SELECT home_city FROM driver GROUP BY home_city ORDER BY count(*) DESC LIMIT 1
Schema: CREATE TABLE driver (age INTEGER, party VARCHAR, home_city VARCHAR)
user: 显示40岁以上的来自“苏州”的司机的组织。

assistant: SELECT party FROM driver WHERE home_city  =  "苏州" AND age  >  40
Schema: CREATE TABLE driver (age INTEGER, home_city VARCHAR)
user: 显示至少有两个40岁以上的司机的家乡城市。

assistant: SELECT home_city FROM driver WHERE age  >  40 GROUP BY home_city HAVING count(*)  >=  2
Schema: CREATE TABLE driver (age INTEGER, home_city VARCHAR)
user: 显示除了超过40岁以上的司机的所有家乡城市。

assistant: SELECT home_city FROM driver EXCEPT SELECT home_city FROM driver WHERE age  >  40
Schema: CREATE TABLE driver (name VARCHAR, driver_id VARCHAR), CREATE TABLE school_bus (name VARCHAR, driver_id VARCHAR)
user: 显示没有校车的司机名字。

assistant: SELECT name FROM driver WHERE driver_id NOT IN (SELECT driver_id FROM school_bus)
Schema: CREATE TABLE school (TYPE VARCHAR)
user: 展示有两所学校的学校类型。

assistant: SELECT TYPE FROM school GROUP BY TYPE HAVING count(*)  =  2
Schema: CREATE TABLE school_bus (school_id VARCHAR, driver_id VARCHAR), CREATE TABLE school (school VARCHAR, school_id VARCHAR), CREATE TABLE driver (name VARCHAR, driver_id VARCHAR)
user: 显示所有校车的学校名称和司机姓名。

assistant: SELECT T2.school ,  T3.name FROM school_bus AS T1 JOIN school AS T2 ON T1.school_id  =  T2.school_id JOIN driver AS T3 ON T1.driver_id  =  T3.driver_id
Schema: CREATE TABLE school_bus (years_working INTEGER)
user: 在校车上工作的最大、最小和平均年是多少？

assistant: SELECT max(years_working) ,  min(years_working) ,  avg(years_working) FROM school_bus
Schema: CREATE TABLE school (school VARCHAR, school_id VARCHAR, TYPE VARCHAR), CREATE TABLE school_bus (school VARCHAR, school_id VARCHAR, TYPE VARCHAR)
user: 显示没有校车的学校名称和学校类型。

assistant: SELECT school ,  TYPE FROM school WHERE school_id NOT IN (SELECT school_id FROM school_bus)