jtjt520j/cspider_for_chinese_llama2_1.3b huggingface dataset:
Schema: CREATE TABLE company (Headquarters VARCHAR)
user: 总部设在“中国”的公司有多少？

assistant: SELECT count(*) FROM company WHERE Headquarters  =  '中国'
Schema: CREATE TABLE company (Sales_in_Billion VARCHAR, Name VARCHAR)
user: 通过销售数量的升序列出公司的名称。

assistant: SELECT Name FROM company ORDER BY Sales_in_Billion ASC
Schema: CREATE TABLE company (Industry VARCHAR, Headquarters VARCHAR)
user: 所有公司的总部和产业是什么？

assistant: SELECT Headquarters ,  Industry FROM company
Schema: CREATE TABLE company (Industry VARCHAR, Name VARCHAR)
user: 显示“银行”或“零售”的公司名称。

assistant: SELECT Name FROM company WHERE Industry  =  "银行业" OR Industry  =  "零售"
Schema: CREATE TABLE company (Market_Value_in_Billion INTEGER)
user: 公司的最大市值和最低市值是多少？

assistant: SELECT max(Market_Value_in_Billion) ,  min(Market_Value_in_Billion) FROM company
Schema: CREATE TABLE company (Sales_in_Billion VARCHAR, Headquarters VARCHAR)
user: 公司销售额最大的公司总部是什么？

assistant: SELECT Headquarters FROM company ORDER BY Sales_in_Billion DESC LIMIT 1
Schema: CREATE TABLE company (Headquarters VARCHAR)
user: 显示不同的总部及每个总部公司的数量。

assistant: SELECT Headquarters ,  COUNT(*) FROM company GROUP BY Headquarters
Schema: CREATE TABLE company (Headquarters VARCHAR)
user: 显示公司最常见的总部。

assistant: SELECT Headquarters FROM company GROUP BY Headquarters ORDER BY COUNT(*) DESC LIMIT 1
Schema: CREATE TABLE company (Headquarters VARCHAR)
user: 显示至少有两家公司的总部。

assistant: SELECT Headquarters FROM company GROUP BY Headquarters HAVING COUNT(*)  >=  2
Schema: CREATE TABLE company (Industry VARCHAR, Headquarters VARCHAR)
user: 显示既有“银行”的公司也有“天然气”行业的公司的总部。

assistant: SELECT Headquarters FROM company WHERE Industry  =  "银行业" INTERSECT SELECT Headquarters FROM company WHERE Industry  =  "天然气"
Schema: CREATE TABLE employment (People_ID VARCHAR, Company_ID VARCHAR), CREATE TABLE people (People_ID VARCHAR, Name VARCHAR), CREATE TABLE company (Company_ID VARCHAR, Name VARCHAR)
user: 显示公司名称和员工姓名。

assistant: SELECT T3.Name ,  T2.Name FROM employment AS T1 JOIN people AS T2 ON T1.People_ID  =  T2.People_ID JOIN company AS T3 ON T1.Company_ID  =  T3.Company_ID
Schema: CREATE TABLE employment (People_ID VARCHAR, Year_working VARCHAR, Company_ID VARCHAR), CREATE TABLE people (People_ID VARCHAR, Name VARCHAR), CREATE TABLE company (Company_ID VARCHAR, Name VARCHAR)
user: 按照员工工作的年限的降序显示公司和员工的姓名。

assistant: SELECT T3.Name ,  T2.Name FROM employment AS T1 JOIN people AS T2 ON T1.People_ID  =  T2.People_ID JOIN company AS T3 ON T1.Company_ID  =  T3.Company_ID ORDER BY T1.Year_working
Schema: CREATE TABLE employment (People_ID VARCHAR, Company_ID VARCHAR), CREATE TABLE people (People_ID VARCHAR, Name VARCHAR), CREATE TABLE company (Company_ID VARCHAR, Sales_in_Billion INTEGER)
user: 展示那些销售超过200的公司的员工的名字。

assistant: SELECT T2.Name FROM employment AS T1 JOIN people AS T2 ON T1.People_ID  =  T2.People_ID JOIN company AS T3 ON T1.Company_ID  =  T3.Company_ID WHERE T3.Sales_in_Billion  >  200
Schema: CREATE TABLE employment (People_ID VARCHAR, Company_ID VARCHAR), CREATE TABLE people (People_ID VARCHAR), CREATE TABLE company (Company_ID VARCHAR, Name VARCHAR)
user: 显示公司名称和该公司员工人数

assistant: SELECT T3.Name ,  COUNT(*) FROM employment AS T1 JOIN people AS T2 ON T1.People_ID  =  T2.People_ID JOIN company AS T3 ON T1.Company_ID  =  T3.Company_ID GROUP BY T3.Name
Schema: CREATE TABLE people (People_ID VARCHAR, Name VARCHAR), CREATE TABLE employment (People_ID VARCHAR, Name VARCHAR)
user: 列出未被任何公司雇用的人的姓名

assistant: SELECT Name FROM people WHERE People_ID NOT IN (SELECT People_ID FROM employment)
Schema: CREATE TABLE company (Profits_in_Billion VARCHAR, name VARCHAR, Sales_in_Billion INTEGER)
user: 按销售额和利润的降序列出销售量超过200的公司的名称。

assistant: SELECT name FROM company WHERE Sales_in_Billion  >  200 ORDER BY Sales_in_Billion ,  Profits_in_Billion DESC
Schema: CREATE TABLE film (Id VARCHAR)
user: 有多少部电影？

assistant: SELECT count(*) FROM film
Schema: CREATE TABLE film (Id VARCHAR)
user: 计算电影的数量。

assistant: SELECT count(*) FROM film
Schema: CREATE TABLE film (Director VARCHAR)
user: 列出所有电影的不同导演。

assistant: SELECT DISTINCT Director FROM film
Schema: CREATE TABLE film (Director VARCHAR)
user: 不同的电影导演有哪些？

assistant: SELECT DISTINCT Director FROM film
Schema: CREATE TABLE film (Gross_in_dollar INTEGER)
user: 电影票房的平均销售总额是多少？

assistant: SELECT avg(Gross_in_dollar) FROM film
Schema: CREATE TABLE film (Gross_in_dollar INTEGER)
user: 返回所有电影的平均总销售额。

assistant: SELECT avg(Gross_in_dollar) FROM film
Schema: CREATE TABLE film_market_estimation (Low_Estimate VARCHAR, High_Estimate VARCHAR)
user: 电影市场的高估计和低估计是什么？

assistant: SELECT Low_Estimate ,  High_Estimate FROM film_market_estimation
Schema: CREATE TABLE film_market_estimation (Low_Estimate VARCHAR, High_Estimate VARCHAR)
user: 返回为所有电影市场估计的低值和高值。

assistant: SELECT Low_Estimate ,  High_Estimate FROM film_market_estimation
Schema: CREATE TABLE film_market_estimation (TYPE VARCHAR, YEAR VARCHAR)
user: 1995年度电影市场估计的类型是什么？

assistant: SELECT TYPE FROM film_market_estimation WHERE YEAR  =  1995
Schema: CREATE TABLE film_market_estimation (TYPE VARCHAR, YEAR VARCHAR)
user: 返回1995年电影市场的估计类型。

assistant: SELECT TYPE FROM film_market_estimation WHERE YEAR  =  1995
Schema: CREATE TABLE market (Number_cities INTEGER)
user: 在所有市场中，城市的最大和最小数量是多少？

assistant: SELECT max(Number_cities) ,  min(Number_cities) FROM market
Schema: CREATE TABLE market (Number_cities INTEGER)
user: 返回所有市场中城市的最大和最小数量。

assistant: SELECT max(Number_cities) ,  min(Number_cities) FROM market
Schema: CREATE TABLE market (Number_cities INTEGER)
user: 有多少市场中的城市数量少于300？

assistant: SELECT count(*) FROM market WHERE Number_cities  <  300
Schema: CREATE TABLE market (Number_cities INTEGER)
user: 统计城市数量少于300的市场数量。

assistant: SELECT count(*) FROM market WHERE Number_cities  <  300
Schema: CREATE TABLE market (Country VARCHAR)
user: 按字母顺序排列所有国家的市场。

assistant: SELECT Country FROM market ORDER BY Country ASC
Schema: CREATE TABLE market (Country VARCHAR)
user: 按字母顺序排列的每个市场的国家是什么？

assistant: SELECT Country FROM market ORDER BY Country ASC
Schema: CREATE TABLE market (Country VARCHAR, Number_cities VARCHAR)
user: 以城市数量递减的顺序列出所有市场国家。

assistant: SELECT Country FROM market ORDER BY Number_cities DESC
Schema: CREATE TABLE market (Country VARCHAR, Number_cities VARCHAR)
user: 按城市数量递减排列的每个市场的国家有哪些？

assistant: SELECT Country FROM market ORDER BY Number_cities DESC
Schema: CREATE TABLE film (Film_ID VARCHAR, Title VARCHAR), CREATE TABLE film_market_estimation (Type VARCHAR, Film_ID VARCHAR)
user: 请展示电影的名称和市场估计的类型。

assistant: SELECT T1.Title ,  T2.Type FROM film AS T1 JOIN film_market_estimation AS T2 ON T1.Film_ID  =  T2.Film_ID
Schema: CREATE TABLE film (Film_ID VARCHAR, Title VARCHAR), CREATE TABLE film_market_estimation (Type VARCHAR, Film_ID VARCHAR)
user: 电影的标题和市场估计的相应类型是什么？

assistant: SELECT T1.Title ,  T2.Type FROM film AS T1 JOIN film_market_estimation AS T2 ON T1.Film_ID  =  T2.Film_ID
Schema: CREATE TABLE film (Director VARCHAR, Film_ID VARCHAR), CREATE TABLE film_market_estimation (Year VARCHAR, Film_ID VARCHAR)
user: 显示1995年度不同市场预估的电影导演。

assistant: SELECT DISTINCT T1.Director FROM film AS T1 JOIN film_market_estimation AS T2 ON T1.Film_ID  =  T2.Film_ID WHERE T2.Year  =  1995
Schema: CREATE TABLE film (Director VARCHAR, Film_ID VARCHAR), CREATE TABLE film_market_estimation (Year VARCHAR, Film_ID VARCHAR)
user: 1995年度不同市场预估的电影导演是谁？

assistant: SELECT DISTINCT T1.Director FROM film AS T1 JOIN film_market_estimation AS T2 ON T1.Film_ID  =  T2.Film_ID WHERE T2.Year  =  1995
Schema: CREATE TABLE film_market_estimation (Low_Estimate INTEGER, Market_ID VARCHAR), CREATE TABLE market (Market_ID VARCHAR, Number_cities INTEGER)
user: 电影市场低估值高于10000的平均城市数量是多少？

assistant: SELECT avg(T2.Number_cities) FROM film_market_estimation AS T1 JOIN market AS T2 ON T1.Market_ID  =  T2.Market_ID WHERE T1.Low_Estimate  >  10000
Schema: CREATE TABLE film_market_estimation (Low_Estimate INTEGER, Market_ID VARCHAR), CREATE TABLE market (Market_ID VARCHAR, Number_cities INTEGER)
user: 给出电影市场低估值高于10000的平均城市数量。

assistant: SELECT avg(T2.Number_cities) FROM film_market_estimation AS T1 JOIN market AS T2 ON T1.Market_ID  =  T2.Market_ID WHERE T1.Low_Estimate  >  10000
Schema: CREATE TABLE film_market_estimation (Market_ID VARCHAR, Year VARCHAR), CREATE TABLE market (Country VARCHAR, Market_ID VARCHAR)
user: 请列出电影市场估计的国家和年份。

assistant: SELECT T2.Country ,  T1.Year FROM film_market_estimation AS T1 JOIN market AS T2 ON T1.Market_ID  =  T2.Market_ID
Schema: CREATE TABLE film_market_estimation (Market_ID VARCHAR, Year VARCHAR), CREATE TABLE market (Country VARCHAR, Market_ID VARCHAR)
user: 什么是市场相关的国家及其相应的市场估计年？

assistant: SELECT T2.Country ,  T1.Year FROM film_market_estimation AS T1 JOIN market AS T2 ON T1.Market_ID  =  T2.Market_ID
Schema: CREATE TABLE film_market_estimation (Market_ID VARCHAR, Year VARCHAR), CREATE TABLE market (Country VARCHAR, Market_ID VARCHAR)
user: 请按年份降序列出国家名为“日本”的电影市场估计的年份。

assistant: SELECT T1.Year FROM film_market_estimation AS T1 JOIN market AS T2 ON T1.Market_ID  =  T2.Market_ID WHERE T2.Country  =  "日本" ORDER BY T1.Year DESC
Schema: CREATE TABLE film_market_estimation (Market_ID VARCHAR, Year VARCHAR), CREATE TABLE market (Country VARCHAR, Market_ID VARCHAR)
user: 按年份降序的“日本”的电影市场估计年份是多少？

assistant: SELECT T1.Year FROM film_market_estimation AS T1 JOIN market AS T2 ON T1.Market_ID  =  T2.Market_ID WHERE T2.Country  =  "日本" ORDER BY T1.Year DESC
Schema: CREATE TABLE film (Studio VARCHAR)
user: 列出每一部电影的制片厂和该电影制片厂制作的电影数量。

assistant: SELECT Studio ,  COUNT(*) FROM film GROUP BY Studio
Schema: CREATE TABLE film (Studio VARCHAR)
user: 每个工作室如何制作电影？

assistant: SELECT Studio ,  COUNT(*) FROM film GROUP BY Studio
Schema: CREATE TABLE film (Studio VARCHAR)
user: 列出制作电影数量最多的电影制片厂的名字。

assistant: SELECT Studio FROM film GROUP BY Studio ORDER BY COUNT(*) DESC LIMIT 1
Schema: CREATE TABLE film (Studio VARCHAR)
user: 制作最多电影的工作室的名字是什么？

assistant: SELECT Studio FROM film GROUP BY Studio ORDER BY COUNT(*) DESC LIMIT 1
Schema: CREATE TABLE film (Studio VARCHAR)
user: 列出至少有两部电影的工作室名称。

assistant: SELECT Studio FROM film GROUP BY Studio HAVING COUNT(*)  >=  2
Schema: CREATE TABLE film (Studio VARCHAR)
user: 制作两部或更多部电影的工作室名称是什么？

assistant: SELECT Studio FROM film GROUP BY Studio HAVING COUNT(*)  >=  2
Schema: CREATE TABLE film (Film_ID VARCHAR, Title VARCHAR), CREATE TABLE film_market_estimation (Film_ID VARCHAR, Title VARCHAR)
user: 列出没有任何市场估计的电影的标题。

assistant: SELECT Title FROM film WHERE Film_ID NOT IN (SELECT Film_ID FROM film_market_estimation)
Schema: CREATE TABLE film (Film_ID VARCHAR, Title VARCHAR), CREATE TABLE film_market_estimation (Film_ID VARCHAR, Title VARCHAR)
user: 没有电影市场估计的电影的片名是什么？

assistant: SELECT Title FROM film WHERE Film_ID NOT IN (SELECT Film_ID FROM film_market_estimation)
Schema: CREATE TABLE film (Director VARCHAR, Studio VARCHAR)
user: 显示与导演“姜文”和“李安”一起制作电影的制片厂。

assistant: SELECT Studio FROM film WHERE Director  =  "姜文" INTERSECT SELECT Studio FROM film WHERE Director  =  "李安"
Schema: CREATE TABLE film (Director VARCHAR, Studio VARCHAR)
user: 与“姜文”和“李安”合作拍摄电影的工作室叫什么名字？

assistant: SELECT Studio FROM film WHERE Director  =  "姜文" INTERSECT SELECT Studio FROM film WHERE Director  =  "李安"
Schema: CREATE TABLE film (title VARCHAR, Studio VARCHAR)
user: 找一些包含“华谊”这个词的电影制片厂制作的电影的片名和制片厂。

assistant: SELECT title ,  Studio FROM film WHERE Studio LIKE "华谊"
Schema: CREATE TABLE film (title VARCHAR, Studio VARCHAR)
user: 由名字包含“华谊”的电影制片厂制作的电影的片名和制片厂是什么？

assistant: SELECT title ,  Studio FROM film WHERE Studio LIKE "华谊"
Schema: CREATE TABLE film (Director VARCHAR, Studio VARCHAR)
user: 展示没有导演“李安”导演的电影制片厂。

assistant: SELECT Studio FROM film EXCEPT SELECT Studio FROM film WHERE Director  =  "李安"
Schema: CREATE TABLE film (Director VARCHAR, Studio VARCHAR)
user: 哪些工作室从未与导演“李安”合作过？

assistant: SELECT Studio FROM film EXCEPT SELECT Studio FROM film WHERE Director  =  "李安"
Schema: CREATE TABLE film (Gross_in_dollar INTEGER, Studio VARCHAR)
user: 列出平均票房收益在450万以上的工作室。

assistant: SELECT Studio FROM film GROUP BY Studio HAVING avg(Gross_in_dollar)  >=  4500000
Schema: CREATE TABLE film (Gross_in_dollar INTEGER, Studio VARCHAR)
user: 哪家电影公司的平均票房总收益超过450万？

assistant: SELECT Studio FROM film GROUP BY Studio HAVING avg(Gross_in_dollar)  >=  4500000
Schema: CREATE TABLE film (Film_ID VARCHAR), CREATE TABLE film_market_estimation (Film_ID VARCHAR)
user: 有最高市场估计的电影的标题是什么。

assistant: SELECT t1.title FROM film AS T1 JOIN film_market_estimation AS T2  ON T1.Film_ID  =  T2.Film_ID ORDER BY high_estimate DESC LIMIT 1
Schema: CREATE TABLE film (Film_ID VARCHAR), CREATE TABLE film_market_estimation (Film_ID VARCHAR)
user: 返回有最高市场估计的电影的标题.

assistant: SELECT t1.title FROM film AS T1 JOIN film_market_estimation AS T2  ON T1.Film_ID  =  T2.Film_ID ORDER BY high_estimate DESC LIMIT 1
Schema: CREATE TABLE film (title VARCHAR, country VARCHAR, director VARCHAR, film_id VARCHAR), CREATE TABLE film_market_estimation (market_id VARCHAR), CREATE TABLE market (Market_ID VARCHAR)
user: 从未在“中国”上映过的电影的名字和导演的名字是什么？

assistant: SELECT title ,  director FROM film WHERE film_id NOT IN (SELECT film_id FROM film_market_estimation AS T1 JOIN market AS T2 ON T1.market_id  =  T2.Market_ID WHERE country  =  '中国')
Schema: CREATE TABLE film (title VARCHAR, country VARCHAR, director VARCHAR, film_id VARCHAR), CREATE TABLE film_market_estimation (market_id VARCHAR), CREATE TABLE market (Market_ID VARCHAR)
user: 从未在“中国”上映过的电影的名字和导演的名字。

assistant: SELECT title ,  director FROM film WHERE film_id NOT IN (SELECT film_id FROM film_market_estimation AS T1 JOIN market AS T2 ON T1.market_id  =  T2.Market_ID WHERE country  =  '中国')
Schema: CREATE TABLE Ref_calendar (Id VARCHAR)
user: 我们有多少日历项目？

assistant: SELECT count(*) FROM Ref_calendar
Schema: CREATE TABLE Ref_calendar (Id VARCHAR)
user: 计算所有日历条目的数量。

assistant: SELECT count(*) FROM Ref_calendar
Schema: CREATE TABLE Ref_calendar (day_Number VARCHAR, calendar_date VARCHAR)
user: 显示所有日历日期和日期号码。

assistant: SELECT calendar_date ,  day_Number FROM Ref_calendar
Schema: CREATE TABLE Ref_calendar (day_Number VARCHAR, calendar_date VARCHAR)
user: 所有日历日期和日期号码是什么？

assistant: SELECT calendar_date ,  day_Number FROM Ref_calendar
Schema: CREATE TABLE Ref_document_types (Id VARCHAR)
user: 显示文档类型的数量。

assistant: SELECT count(*) FROM Ref_document_types
Schema: CREATE TABLE Ref_document_types (Id VARCHAR)
user: 有多少种文档类型？

assistant: SELECT count(*) FROM Ref_document_types
Schema: CREATE TABLE Ref_document_types (document_type_code VARCHAR, document_type_name VARCHAR)
user: 列出所有的文档类型代码和文档类型名称。

assistant: SELECT document_type_code ,  document_type_name FROM Ref_document_types
Schema: CREATE TABLE Ref_document_types (document_type_code VARCHAR, document_type_name VARCHAR)
user: 所有的文档类型代码和文档类型名称是什么？

assistant: SELECT document_type_code ,  document_type_name FROM Ref_document_types
Schema: CREATE TABLE Ref_document_types (document_type_description VARCHAR, document_type_code VARCHAR, document_type_name VARCHAR)
user: 文档类型代码是“RV”的文档名称和描述是什么？

assistant: SELECT document_type_name ,  document_type_description FROM Ref_document_types WHERE document_type_code  =  "RV"
Schema: CREATE TABLE Ref_document_types (document_type_description VARCHAR, document_type_code VARCHAR, document_type_name VARCHAR)
user: 给我文档类型代码是“RV”的文档名称和描述。

assistant: SELECT document_type_name ,  document_type_description FROM Ref_document_types WHERE document_type_code  =  "RV"
Schema: CREATE TABLE Ref_document_types (document_type_code VARCHAR, document_type_name VARCHAR)
user: 文档类型是“论文”的文档类型代码是什么？

assistant: SELECT document_type_code FROM Ref_document_types WHERE document_type_name  =  "论文"
Schema: CREATE TABLE Ref_document_types (document_type_code VARCHAR, document_type_name VARCHAR)
user: 查找文档类型是“论文”的文档类型代码。

assistant: SELECT document_type_code FROM Ref_document_types WHERE document_type_name  =  "论文"
Schema: CREATE TABLE All_documents (document_type_code VARCHAR)
user: 显示文档类型代码是“简历”或“通知”的文档数量。

assistant: SELECT count(*) FROM All_documents WHERE document_type_code  =  "简历" OR document_type_code  =  "通知"
Schema: CREATE TABLE All_documents (document_type_code VARCHAR)
user: 文档类型代码是“简历”或“通知”的文档数量有多少？

assistant: SELECT count(*) FROM All_documents WHERE document_type_code  =  "简历" OR document_type_code  =  "通知"
Schema: CREATE TABLE All_documents (date_stored VARCHAR, Document_name VARCHAR)
user: “马丽的简历”被保存的日期是什么时候？

assistant: SELECT date_stored FROM All_documents WHERE Document_name  =  "马丽的简历"
Schema: CREATE TABLE All_documents (date_stored VARCHAR, Document_name VARCHAR)
user: 什么时候保存的文件“马丽的简历”？返回保存的日期。

assistant: SELECT date_stored FROM All_documents WHERE Document_name  =  "马丽的简历"
Schema: CREATE TABLE All_documents (date_stored VARCHAR, Date_Stored VARCHAR), CREATE TABLE Ref_calendar (day_Number VARCHAR, calendar_date VARCHAR)
user: 所有的天数和文件的日期是什么？

assistant: SELECT T2.day_Number ,  T1.Date_Stored FROM All_documents AS T1 JOIN Ref_calendar AS T2 ON T1.date_stored  =  T2.calendar_date
Schema: CREATE TABLE All_documents (date_stored VARCHAR, Date_Stored VARCHAR), CREATE TABLE Ref_calendar (day_Number VARCHAR, calendar_date VARCHAR)
user: 返回所有文件的的天数和存储日期。

assistant: SELECT T2.day_Number ,  T1.Date_Stored FROM All_documents AS T1 JOIN Ref_calendar AS T2 ON T1.date_stored  =  T2.calendar_date
Schema: CREATE TABLE All_documents (document_name VARCHAR, document_type_code VARCHAR), CREATE TABLE Ref_document_types (document_type_code VARCHAR, document_type_name VARCHAR)
user: 文件名为“怎样阅读一本书”的文档类型名称是什么？

assistant: SELECT T2.document_type_name FROM All_documents AS T1 JOIN Ref_document_types AS T2 ON T1.document_type_code  =  T2.document_type_code WHERE T1.document_name  =  "怎样阅读一本书"
Schema: CREATE TABLE All_documents (document_name VARCHAR, document_type_code VARCHAR), CREATE TABLE Ref_document_types (document_type_code VARCHAR, document_type_name VARCHAR)
user: 查找名为“怎样阅读一本书”的文档类型名称。

assistant: SELECT T2.document_type_name FROM All_documents AS T1 JOIN Ref_document_types AS T2 ON T1.document_type_code  =  T2.document_type_code WHERE T1.document_name  =  "怎样阅读一本书"
Schema: CREATE TABLE Ref_locations (Id VARCHAR)
user: 显示位置的数目。

assistant: SELECT count(*) FROM Ref_locations
Schema: CREATE TABLE Ref_locations (Id VARCHAR)
user: 数据库中列出了多少个位置？

assistant: SELECT count(*) FROM Ref_locations
Schema: CREATE TABLE Ref_locations (location_name VARCHAR, location_code VARCHAR)
user: 列出所有的位置代码和位置名称。

assistant: SELECT location_code ,  location_name FROM Ref_locations
Schema: CREATE TABLE Ref_locations (location_name VARCHAR, location_code VARCHAR)
user: 所有的位置代码和位置名称是什么？

assistant: SELECT location_code ,  location_name FROM Ref_locations
Schema: CREATE TABLE Ref_locations (location_code VARCHAR, location_name VARCHAR, location_description VARCHAR)
user: 代码为“粤”的位置名称和描述是什么？

assistant: SELECT location_name ,  location_description FROM Ref_locations WHERE location_code  =  "粤"
Schema: CREATE TABLE Ref_locations (location_code VARCHAR, location_name VARCHAR, location_description VARCHAR)
user: 给出代码为“粤”的位置名称和描述。

assistant: SELECT location_name ,  location_description FROM Ref_locations WHERE location_code  =  "粤"
Schema: CREATE TABLE Ref_locations (location_name VARCHAR, location_code VARCHAR)
user: 国家“加拿大”的位置代码是什么？

assistant: SELECT location_code FROM Ref_locations WHERE location_name  =  "加拿大"
Schema: CREATE TABLE Ref_locations (location_name VARCHAR, location_code VARCHAR)
user: 显示国家“加拿大”的位置代码。

assistant: SELECT location_code FROM Ref_locations WHERE location_name  =  "加拿大"
Schema: CREATE TABLE ROLES (Id VARCHAR)
user: 有多少角色？

assistant: SELECT count(*) FROM ROLES
Schema: CREATE TABLE ROLES (Id VARCHAR)
user: 计算列出的角色总数。

assistant: SELECT count(*) FROM ROLES
Schema: CREATE TABLE ROLES (role_name VARCHAR, role_code VARCHAR, role_description VARCHAR)
user: 列出所有角色代码、角色名和角色描述。

assistant: SELECT role_code ,  role_name ,  role_description FROM ROLES
Schema: CREATE TABLE ROLES (role_name VARCHAR, role_code VARCHAR, role_description VARCHAR)
user: 所有的角色代码、角色名称和角色描述是什么？

assistant: SELECT role_code ,  role_name ,  role_description FROM ROLES
Schema: CREATE TABLE ROLES (role_name VARCHAR, role_code VARCHAR, role_description VARCHAR)
user: 角色代码是“经理”的名称和描述是什么？

assistant: SELECT role_name ,  role_description FROM ROLES WHERE role_code  =  "经理"
Schema: CREATE TABLE ROLES (role_name VARCHAR, role_code VARCHAR, role_description VARCHAR)
user: 找出角色代码是“经理”的名称和描述。

assistant: SELECT role_name ,  role_description FROM ROLES WHERE role_code  =  "经理"
Schema: CREATE TABLE ROLES (role_name VARCHAR, role_description VARCHAR)
user: 显示角色名称是“校对员”的描述。

assistant: SELECT role_description FROM ROLES WHERE role_name  =  "校对员"
Schema: CREATE TABLE ROLES (role_name VARCHAR, role_description VARCHAR)
user: “校对员”角色的描述是什么？

assistant: SELECT role_description FROM ROLES WHERE role_name  =  "校对员"
Schema: CREATE TABLE Employees (Id VARCHAR)
user: 我们有多少员工？

assistant: SELECT count(*) FROM Employees
Schema: CREATE TABLE Employees (Id VARCHAR)
user: 找出我们拥有的员工数量。

assistant: SELECT count(*) FROM Employees
Schema: CREATE TABLE Employees (employee_name VARCHAR, date_of_birth VARCHAR, role_code VARCHAR, employee_Name VARCHAR)
user: 显示名为“琦琦”的雇员的姓名、角色代码和出生日期。

assistant: SELECT employee_name ,  role_code ,  date_of_birth FROM Employees WHERE employee_Name  =  '琦琦'
Schema: CREATE TABLE Employees (employee_name VARCHAR, date_of_birth VARCHAR, role_code VARCHAR, employee_Name VARCHAR)
user: 名为“琦琦”的员工的姓名、职务代码和出生日期是什么？

assistant: SELECT employee_name ,  role_code ,  date_of_birth FROM Employees WHERE employee_Name  =  '琦琦'
Schema: CREATE TABLE Employees (employee_name VARCHAR, employee_ID VARCHAR)
user: 名字叫“琳琳”的员工的id是什么？

assistant: SELECT employee_ID FROM Employees WHERE employee_name  =  "琳琳"
Schema: CREATE TABLE Employees (employee_name VARCHAR, employee_ID VARCHAR)
user: 显示名为“琳琳”的雇员的id。

assistant: SELECT employee_ID FROM Employees WHERE employee_name  =  "琳琳"
Schema: CREATE TABLE Employees (employee_name VARCHAR, role_code VARCHAR)
user: 显示所有角色是“人力资源”的员工的姓名。

assistant: SELECT employee_name FROM Employees WHERE role_code  =  "人力资源"
Schema: CREATE TABLE Employees (employee_name VARCHAR, role_code VARCHAR)
user: 哪些员工的角色代码是“人力资源”？找出他们的名字。

assistant: SELECT employee_name FROM Employees WHERE role_code  =  "人力资源"
Schema: CREATE TABLE Employees (role_code VARCHAR)
user: 显示所有角色代码和每个角色中的雇员数量。

assistant: SELECT role_code ,  count(*) FROM Employees GROUP BY role_code
Schema: CREATE TABLE Employees (role_code VARCHAR)
user: 每个角色的代码及其对应的的员工数量是多少？

assistant: SELECT role_code ,  count(*) FROM Employees GROUP BY role_code
Schema: CREATE TABLE Employees (role_code VARCHAR)
user: 员工人数最多的角色代码是什么？

assistant: SELECT role_code FROM Employees GROUP BY role_code ORDER BY count(*) DESC LIMIT 1
Schema: CREATE TABLE Employees (role_code VARCHAR)
user: 找出具有最多雇员的角色代码。

assistant: SELECT role_code FROM Employees GROUP BY role_code ORDER BY count(*) DESC LIMIT 1
Schema: CREATE TABLE Employees (role_code VARCHAR)
user: 显示至少有3名员工的所有角色代码。

assistant: SELECT role_code FROM Employees GROUP BY role_code HAVING count(*)  >=  3
Schema: CREATE TABLE Employees (role_code VARCHAR)
user: 有三个或更多员工的角色的角色代码是什么？。

assistant: SELECT role_code FROM Employees GROUP BY role_code HAVING count(*)  >=  3
Schema: CREATE TABLE Employees (role_code VARCHAR)
user: 显示最少的雇员的角色代码。

assistant: SELECT role_code FROM Employees GROUP BY role_code ORDER BY count(*) ASC LIMIT 1
Schema: CREATE TABLE Employees (role_code VARCHAR)
user: 员工数最少的角色是什么？找出其角色代码。

assistant: SELECT role_code FROM Employees GROUP BY role_code ORDER BY count(*) ASC LIMIT 1
Schema: CREATE TABLE Employees (employee_name VARCHAR, role_code VARCHAR), CREATE TABLE ROLES (role_name VARCHAR, role_code VARCHAR, role_description VARCHAR)
user: 雇员名为“琳琳”的角色名和角色描述是什么？

assistant: SELECT T2.role_name ,  T2.role_description FROM Employees AS T1 JOIN ROLES AS T2 ON T1.role_code  =  T2.role_code WHERE T1.employee_name  =  "琳琳"
Schema: CREATE TABLE Employees (employee_name VARCHAR, role_code VARCHAR), CREATE TABLE ROLES (role_name VARCHAR, role_code VARCHAR, role_description VARCHAR)
user: 显示名为“琳琳”的雇员的角色名和角色描述。

assistant: SELECT T2.role_name ,  T2.role_description FROM Employees AS T1 JOIN ROLES AS T2 ON T1.role_code  =  T2.role_code WHERE T1.employee_name  =  "琳琳"