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department_management
How many heads of the departments are older than 56 ?
SELECT count(*) FROM head WHERE age > 56
department: Department_ID (number), Name (text), Creation (text), Ranking (number), Budget_in_Billions (number), Num_Employees (number) | head: head_ID (number), name (text), born_state (text), age (number) | management: department_ID (number), head_ID (number), temporary_acting (text)
[ "How", "many", "heads", "of", "the", "departments", "are", "older", "than", "56", "?" ]
department_management
List the name, born state and age of the heads of departments ordered by age.
SELECT name , born_state , age FROM head ORDER BY age
department: Department_ID (number), Name (text), Creation (text), Ranking (number), Budget_in_Billions (number), Num_Employees (number) | head: head_ID (number), name (text), born_state (text), age (number) | management: department_ID (number), head_ID (number), temporary_acting (text)
[ "List", "the", "name", ",", "born", "state", "and", "age", "of", "the", "heads", "of", "departments", "ordered", "by", "age", "." ]
department_management
List the creation year, name and budget of each department.
SELECT creation , name , budget_in_billions FROM department
department: Department_ID (number), Name (text), Creation (text), Ranking (number), Budget_in_Billions (number), Num_Employees (number) | head: head_ID (number), name (text), born_state (text), age (number) | management: department_ID (number), head_ID (number), temporary_acting (text)
[ "List", "the", "creation", "year", ",", "name", "and", "budget", "of", "each", "department", "." ]
department_management
What are the maximum and minimum budget of the departments?
SELECT max(budget_in_billions) , min(budget_in_billions) FROM department
department: Department_ID (number), Name (text), Creation (text), Ranking (number), Budget_in_Billions (number), Num_Employees (number) | head: head_ID (number), name (text), born_state (text), age (number) | management: department_ID (number), head_ID (number), temporary_acting (text)
[ "What", "are", "the", "maximum", "and", "minimum", "budget", "of", "the", "departments", "?" ]
department_management
What is the average number of employees of the departments whose rank is between 10 and 15?
SELECT avg(num_employees) FROM department WHERE ranking BETWEEN 10 AND 15
department: Department_ID (number), Name (text), Creation (text), Ranking (number), Budget_in_Billions (number), Num_Employees (number) | head: head_ID (number), name (text), born_state (text), age (number) | management: department_ID (number), head_ID (number), temporary_acting (text)
[ "What", "is", "the", "average", "number", "of", "employees", "of", "the", "departments", "whose", "rank", "is", "between", "10", "and", "15", "?" ]
department_management
What are the names of the heads who are born outside the California state?
SELECT name FROM head WHERE born_state != 'California'
department: Department_ID (number), Name (text), Creation (text), Ranking (number), Budget_in_Billions (number), Num_Employees (number) | head: head_ID (number), name (text), born_state (text), age (number) | management: department_ID (number), head_ID (number), temporary_acting (text)
[ "What", "are", "the", "names", "of", "the", "heads", "who", "are", "born", "outside", "the", "California", "state", "?" ]
department_management
What are the distinct creation years of the departments managed by a secretary born in state 'Alabama'?
SELECT DISTINCT T1.creation FROM department AS T1 JOIN management AS T2 ON T1.department_id = T2.department_id JOIN head AS T3 ON T2.head_id = T3.head_id WHERE T3.born_state = 'Alabama'
department: Department_ID (number), Name (text), Creation (text), Ranking (number), Budget_in_Billions (number), Num_Employees (number) | head: head_ID (number), name (text), born_state (text), age (number) | management: department_ID (number), head_ID (number), temporary_acting (text)
[ "What", "are", "the", "distinct", "creation", "years", "of", "the", "departments", "managed", "by", "a", "secretary", "born", "in", "state", "'Alabama", "'", "?" ]
department_management
What are the names of the states where at least 3 heads were born?
SELECT born_state FROM head GROUP BY born_state HAVING count(*) >= 3
department: Department_ID (number), Name (text), Creation (text), Ranking (number), Budget_in_Billions (number), Num_Employees (number) | head: head_ID (number), name (text), born_state (text), age (number) | management: department_ID (number), head_ID (number), temporary_acting (text)
[ "What", "are", "the", "names", "of", "the", "states", "where", "at", "least", "3", "heads", "were", "born", "?" ]
department_management
In which year were most departments established?
SELECT creation FROM department GROUP BY creation ORDER BY count(*) DESC LIMIT 1
department: Department_ID (number), Name (text), Creation (text), Ranking (number), Budget_in_Billions (number), Num_Employees (number) | head: head_ID (number), name (text), born_state (text), age (number) | management: department_ID (number), head_ID (number), temporary_acting (text)
[ "In", "which", "year", "were", "most", "departments", "established", "?" ]
department_management
Show the name and number of employees for the departments managed by heads whose temporary acting value is 'Yes'?
SELECT T1.name , T1.num_employees FROM department AS T1 JOIN management AS T2 ON T1.department_id = T2.department_id WHERE T2.temporary_acting = 'Yes'
department: Department_ID (number), Name (text), Creation (text), Ranking (number), Budget_in_Billions (number), Num_Employees (number) | head: head_ID (number), name (text), born_state (text), age (number) | management: department_ID (number), head_ID (number), temporary_acting (text)
[ "Show", "the", "name", "and", "number", "of", "employees", "for", "the", "departments", "managed", "by", "heads", "whose", "temporary", "acting", "value", "is", "'Yes", "'", "?" ]
department_management
How many acting statuses are there?
SELECT count(DISTINCT temporary_acting) FROM management
department: Department_ID (number), Name (text), Creation (text), Ranking (number), Budget_in_Billions (number), Num_Employees (number) | head: head_ID (number), name (text), born_state (text), age (number) | management: department_ID (number), head_ID (number), temporary_acting (text)
[ "How", "many", "acting", "statuses", "are", "there", "?" ]
department_management
How many departments are led by heads who are not mentioned?
SELECT count(*) FROM department WHERE department_id NOT IN (SELECT department_id FROM management);
department: Department_ID (number), Name (text), Creation (text), Ranking (number), Budget_in_Billions (number), Num_Employees (number) | head: head_ID (number), name (text), born_state (text), age (number) | management: department_ID (number), head_ID (number), temporary_acting (text)
[ "How", "many", "departments", "are", "led", "by", "heads", "who", "are", "not", "mentioned", "?" ]
department_management
What are the distinct ages of the heads who are acting?
SELECT DISTINCT T1.age FROM management AS T2 JOIN head AS T1 ON T1.head_id = T2.head_id WHERE T2.temporary_acting = 'Yes'
department: Department_ID (number), Name (text), Creation (text), Ranking (number), Budget_in_Billions (number), Num_Employees (number) | head: head_ID (number), name (text), born_state (text), age (number) | management: department_ID (number), head_ID (number), temporary_acting (text)
[ "What", "are", "the", "distinct", "ages", "of", "the", "heads", "who", "are", "acting", "?" ]
department_management
List the states where both the secretary of 'Treasury' department and the secretary of 'Homeland Security' were born.
SELECT T3.born_state FROM department AS T1 JOIN management AS T2 ON T1.department_id = T2.department_id JOIN head AS T3 ON T2.head_id = T3.head_id WHERE T1.name = 'Treasury' INTERSECT SELECT T3.born_state FROM department AS T1 JOIN management AS T2 ON T1.department_id = T2.department_id JOIN head AS T3 ON T2.he...
department: Department_ID (number), Name (text), Creation (text), Ranking (number), Budget_in_Billions (number), Num_Employees (number) | head: head_ID (number), name (text), born_state (text), age (number) | management: department_ID (number), head_ID (number), temporary_acting (text)
[ "List", "the", "states", "where", "both", "the", "secretary", "of", "'Treasury", "'", "department", "and", "the", "secretary", "of", "'Homeland", "Security", "'", "were", "born", "." ]
department_management
Which department has more than 1 head at a time? List the id, name and the number of heads.
SELECT T1.department_id , T1.name , count(*) FROM management AS T2 JOIN department AS T1 ON T1.department_id = T2.department_id GROUP BY T1.department_id HAVING count(*) > 1
department: Department_ID (number), Name (text), Creation (text), Ranking (number), Budget_in_Billions (number), Num_Employees (number) | head: head_ID (number), name (text), born_state (text), age (number) | management: department_ID (number), head_ID (number), temporary_acting (text)
[ "Which", "department", "has", "more", "than", "1", "head", "at", "a", "time", "?", "List", "the", "id", ",", "name", "and", "the", "number", "of", "heads", "." ]
department_management
Which head's name has the substring 'Ha'? List the id and name.
SELECT head_id , name FROM head WHERE name LIKE '%Ha%'
department: Department_ID (number), Name (text), Creation (text), Ranking (number), Budget_in_Billions (number), Num_Employees (number) | head: head_ID (number), name (text), born_state (text), age (number) | management: department_ID (number), head_ID (number), temporary_acting (text)
[ "Which", "head", "'s", "name", "has", "the", "substring", "'Ha", "'", "?", "List", "the", "id", "and", "name", "." ]
farm
How many farms are there?
SELECT count(*) FROM farm
city: City_ID (number), Official_Name (text), Status (text), Area_km_2 (number), Population (number), Census_Ranking (text) | farm: Farm_ID (number), Year (number), Total_Horses (number), Working_Horses (number), Total_Cattle (number), Oxen (number), Bulls (number), Cows (number), Pigs (number), Sheep_and_Goats (number...
[ "How", "many", "farms", "are", "there", "?" ]
farm
Count the number of farms.
SELECT count(*) FROM farm
city: City_ID (number), Official_Name (text), Status (text), Area_km_2 (number), Population (number), Census_Ranking (text) | farm: Farm_ID (number), Year (number), Total_Horses (number), Working_Horses (number), Total_Cattle (number), Oxen (number), Bulls (number), Cows (number), Pigs (number), Sheep_and_Goats (number...
[ "Count", "the", "number", "of", "farms", "." ]
farm
List the total number of horses on farms in ascending order.
SELECT Total_Horses FROM farm ORDER BY Total_Horses ASC
city: City_ID (number), Official_Name (text), Status (text), Area_km_2 (number), Population (number), Census_Ranking (text) | farm: Farm_ID (number), Year (number), Total_Horses (number), Working_Horses (number), Total_Cattle (number), Oxen (number), Bulls (number), Cows (number), Pigs (number), Sheep_and_Goats (number...
[ "List", "the", "total", "number", "of", "horses", "on", "farms", "in", "ascending", "order", "." ]
farm
What is the total horses record for each farm, sorted ascending?
SELECT Total_Horses FROM farm ORDER BY Total_Horses ASC
city: City_ID (number), Official_Name (text), Status (text), Area_km_2 (number), Population (number), Census_Ranking (text) | farm: Farm_ID (number), Year (number), Total_Horses (number), Working_Horses (number), Total_Cattle (number), Oxen (number), Bulls (number), Cows (number), Pigs (number), Sheep_and_Goats (number...
[ "What", "is", "the", "total", "horses", "record", "for", "each", "farm", ",", "sorted", "ascending", "?" ]
farm
What are the hosts of competitions whose theme is not "Aliens"?
SELECT Hosts FROM farm_competition WHERE Theme != 'Aliens'
city: City_ID (number), Official_Name (text), Status (text), Area_km_2 (number), Population (number), Census_Ranking (text) | farm: Farm_ID (number), Year (number), Total_Horses (number), Working_Horses (number), Total_Cattle (number), Oxen (number), Bulls (number), Cows (number), Pigs (number), Sheep_and_Goats (number...
[ "What", "are", "the", "hosts", "of", "competitions", "whose", "theme", "is", "not", "``", "Aliens", "''", "?" ]
farm
Return the hosts of competitions for which the theme is not Aliens?
SELECT Hosts FROM farm_competition WHERE Theme != 'Aliens'
city: City_ID (number), Official_Name (text), Status (text), Area_km_2 (number), Population (number), Census_Ranking (text) | farm: Farm_ID (number), Year (number), Total_Horses (number), Working_Horses (number), Total_Cattle (number), Oxen (number), Bulls (number), Cows (number), Pigs (number), Sheep_and_Goats (number...
[ "Return", "the", "hosts", "of", "competitions", "for", "which", "the", "theme", "is", "not", "Aliens", "?" ]
farm
What are the themes of farm competitions sorted by year in ascending order?
SELECT Theme FROM farm_competition ORDER BY YEAR ASC
city: City_ID (number), Official_Name (text), Status (text), Area_km_2 (number), Population (number), Census_Ranking (text) | farm: Farm_ID (number), Year (number), Total_Horses (number), Working_Horses (number), Total_Cattle (number), Oxen (number), Bulls (number), Cows (number), Pigs (number), Sheep_and_Goats (number...
[ "What", "are", "the", "themes", "of", "farm", "competitions", "sorted", "by", "year", "in", "ascending", "order", "?" ]
farm
Return the themes of farm competitions, sorted by year ascending.
SELECT Theme FROM farm_competition ORDER BY YEAR ASC
city: City_ID (number), Official_Name (text), Status (text), Area_km_2 (number), Population (number), Census_Ranking (text) | farm: Farm_ID (number), Year (number), Total_Horses (number), Working_Horses (number), Total_Cattle (number), Oxen (number), Bulls (number), Cows (number), Pigs (number), Sheep_and_Goats (number...
[ "Return", "the", "themes", "of", "farm", "competitions", ",", "sorted", "by", "year", "ascending", "." ]
farm
What is the average number of working horses of farms with more than 5000 total number of horses?
SELECT avg(Working_Horses) FROM farm WHERE Total_Horses > 5000
city: City_ID (number), Official_Name (text), Status (text), Area_km_2 (number), Population (number), Census_Ranking (text) | farm: Farm_ID (number), Year (number), Total_Horses (number), Working_Horses (number), Total_Cattle (number), Oxen (number), Bulls (number), Cows (number), Pigs (number), Sheep_and_Goats (number...
[ "What", "is", "the", "average", "number", "of", "working", "horses", "of", "farms", "with", "more", "than", "5000", "total", "number", "of", "horses", "?" ]
farm
Give the average number of working horses on farms with more than 5000 total horses.
SELECT avg(Working_Horses) FROM farm WHERE Total_Horses > 5000
city: City_ID (number), Official_Name (text), Status (text), Area_km_2 (number), Population (number), Census_Ranking (text) | farm: Farm_ID (number), Year (number), Total_Horses (number), Working_Horses (number), Total_Cattle (number), Oxen (number), Bulls (number), Cows (number), Pigs (number), Sheep_and_Goats (number...
[ "Give", "the", "average", "number", "of", "working", "horses", "on", "farms", "with", "more", "than", "5000", "total", "horses", "." ]
farm
What are the maximum and minimum number of cows across all farms.
SELECT max(Cows) , min(Cows) FROM farm
city: City_ID (number), Official_Name (text), Status (text), Area_km_2 (number), Population (number), Census_Ranking (text) | farm: Farm_ID (number), Year (number), Total_Horses (number), Working_Horses (number), Total_Cattle (number), Oxen (number), Bulls (number), Cows (number), Pigs (number), Sheep_and_Goats (number...
[ "What", "are", "the", "maximum", "and", "minimum", "number", "of", "cows", "across", "all", "farms", "." ]
farm
Return the maximum and minimum number of cows across all farms.
SELECT max(Cows) , min(Cows) FROM farm
city: City_ID (number), Official_Name (text), Status (text), Area_km_2 (number), Population (number), Census_Ranking (text) | farm: Farm_ID (number), Year (number), Total_Horses (number), Working_Horses (number), Total_Cattle (number), Oxen (number), Bulls (number), Cows (number), Pigs (number), Sheep_and_Goats (number...
[ "Return", "the", "maximum", "and", "minimum", "number", "of", "cows", "across", "all", "farms", "." ]
farm
How many different statuses do cities have?
SELECT count(DISTINCT Status) FROM city
city: City_ID (number), Official_Name (text), Status (text), Area_km_2 (number), Population (number), Census_Ranking (text) | farm: Farm_ID (number), Year (number), Total_Horses (number), Working_Horses (number), Total_Cattle (number), Oxen (number), Bulls (number), Cows (number), Pigs (number), Sheep_and_Goats (number...
[ "How", "many", "different", "statuses", "do", "cities", "have", "?" ]
farm
Count the number of different statuses.
SELECT count(DISTINCT Status) FROM city
city: City_ID (number), Official_Name (text), Status (text), Area_km_2 (number), Population (number), Census_Ranking (text) | farm: Farm_ID (number), Year (number), Total_Horses (number), Working_Horses (number), Total_Cattle (number), Oxen (number), Bulls (number), Cows (number), Pigs (number), Sheep_and_Goats (number...
[ "Count", "the", "number", "of", "different", "statuses", "." ]
farm
List official names of cities in descending order of population.
SELECT Official_Name FROM city ORDER BY Population DESC
city: City_ID (number), Official_Name (text), Status (text), Area_km_2 (number), Population (number), Census_Ranking (text) | farm: Farm_ID (number), Year (number), Total_Horses (number), Working_Horses (number), Total_Cattle (number), Oxen (number), Bulls (number), Cows (number), Pigs (number), Sheep_and_Goats (number...
[ "List", "official", "names", "of", "cities", "in", "descending", "order", "of", "population", "." ]
farm
What are the official names of cities, ordered descending by population?
SELECT Official_Name FROM city ORDER BY Population DESC
city: City_ID (number), Official_Name (text), Status (text), Area_km_2 (number), Population (number), Census_Ranking (text) | farm: Farm_ID (number), Year (number), Total_Horses (number), Working_Horses (number), Total_Cattle (number), Oxen (number), Bulls (number), Cows (number), Pigs (number), Sheep_and_Goats (number...
[ "What", "are", "the", "official", "names", "of", "cities", ",", "ordered", "descending", "by", "population", "?" ]
farm
List the official name and status of the city with the largest population.
SELECT Official_Name , Status FROM city ORDER BY Population DESC LIMIT 1
city: City_ID (number), Official_Name (text), Status (text), Area_km_2 (number), Population (number), Census_Ranking (text) | farm: Farm_ID (number), Year (number), Total_Horses (number), Working_Horses (number), Total_Cattle (number), Oxen (number), Bulls (number), Cows (number), Pigs (number), Sheep_and_Goats (number...
[ "List", "the", "official", "name", "and", "status", "of", "the", "city", "with", "the", "largest", "population", "." ]
farm
What is the official name and status of the city with the most residents?
SELECT Official_Name , Status FROM city ORDER BY Population DESC LIMIT 1
city: City_ID (number), Official_Name (text), Status (text), Area_km_2 (number), Population (number), Census_Ranking (text) | farm: Farm_ID (number), Year (number), Total_Horses (number), Working_Horses (number), Total_Cattle (number), Oxen (number), Bulls (number), Cows (number), Pigs (number), Sheep_and_Goats (number...
[ "What", "is", "the", "official", "name", "and", "status", "of", "the", "city", "with", "the", "most", "residents", "?" ]
farm
Show the years and the official names of the host cities of competitions.
SELECT T2.Year , T1.Official_Name FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID
city: City_ID (number), Official_Name (text), Status (text), Area_km_2 (number), Population (number), Census_Ranking (text) | farm: Farm_ID (number), Year (number), Total_Horses (number), Working_Horses (number), Total_Cattle (number), Oxen (number), Bulls (number), Cows (number), Pigs (number), Sheep_and_Goats (number...
[ "Show", "the", "years", "and", "the", "official", "names", "of", "the", "host", "cities", "of", "competitions", "." ]
farm
Give the years and official names of the cities of each competition.
SELECT T2.Year , T1.Official_Name FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID
city: City_ID (number), Official_Name (text), Status (text), Area_km_2 (number), Population (number), Census_Ranking (text) | farm: Farm_ID (number), Year (number), Total_Horses (number), Working_Horses (number), Total_Cattle (number), Oxen (number), Bulls (number), Cows (number), Pigs (number), Sheep_and_Goats (number...
[ "Give", "the", "years", "and", "official", "names", "of", "the", "cities", "of", "each", "competition", "." ]
farm
Show the official names of the cities that have hosted more than one competition.
SELECT T1.Official_Name FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID GROUP BY T2.Host_city_ID HAVING COUNT(*) > 1
city: City_ID (number), Official_Name (text), Status (text), Area_km_2 (number), Population (number), Census_Ranking (text) | farm: Farm_ID (number), Year (number), Total_Horses (number), Working_Horses (number), Total_Cattle (number), Oxen (number), Bulls (number), Cows (number), Pigs (number), Sheep_and_Goats (number...
[ "Show", "the", "official", "names", "of", "the", "cities", "that", "have", "hosted", "more", "than", "one", "competition", "." ]
farm
What are the official names of cities that have hosted more than one competition?
SELECT T1.Official_Name FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID GROUP BY T2.Host_city_ID HAVING COUNT(*) > 1
city: City_ID (number), Official_Name (text), Status (text), Area_km_2 (number), Population (number), Census_Ranking (text) | farm: Farm_ID (number), Year (number), Total_Horses (number), Working_Horses (number), Total_Cattle (number), Oxen (number), Bulls (number), Cows (number), Pigs (number), Sheep_and_Goats (number...
[ "What", "are", "the", "official", "names", "of", "cities", "that", "have", "hosted", "more", "than", "one", "competition", "?" ]
farm
Show the status of the city that has hosted the greatest number of competitions.
SELECT T1.Status FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID GROUP BY T2.Host_city_ID ORDER BY COUNT(*) DESC LIMIT 1
city: City_ID (number), Official_Name (text), Status (text), Area_km_2 (number), Population (number), Census_Ranking (text) | farm: Farm_ID (number), Year (number), Total_Horses (number), Working_Horses (number), Total_Cattle (number), Oxen (number), Bulls (number), Cows (number), Pigs (number), Sheep_and_Goats (number...
[ "Show", "the", "status", "of", "the", "city", "that", "has", "hosted", "the", "greatest", "number", "of", "competitions", "." ]
farm
What is the status of the city that has hosted the most competitions?
SELECT T1.Status FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID GROUP BY T2.Host_city_ID ORDER BY COUNT(*) DESC LIMIT 1
city: City_ID (number), Official_Name (text), Status (text), Area_km_2 (number), Population (number), Census_Ranking (text) | farm: Farm_ID (number), Year (number), Total_Horses (number), Working_Horses (number), Total_Cattle (number), Oxen (number), Bulls (number), Cows (number), Pigs (number), Sheep_and_Goats (number...
[ "What", "is", "the", "status", "of", "the", "city", "that", "has", "hosted", "the", "most", "competitions", "?" ]
farm
Please show the themes of competitions with host cities having populations larger than 1000.
SELECT T2.Theme FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID WHERE T1.Population > 1000
city: City_ID (number), Official_Name (text), Status (text), Area_km_2 (number), Population (number), Census_Ranking (text) | farm: Farm_ID (number), Year (number), Total_Horses (number), Working_Horses (number), Total_Cattle (number), Oxen (number), Bulls (number), Cows (number), Pigs (number), Sheep_and_Goats (number...
[ "Please", "show", "the", "themes", "of", "competitions", "with", "host", "cities", "having", "populations", "larger", "than", "1000", "." ]
farm
What are the themes of competitions that have corresponding host cities with more than 1000 residents?
SELECT T2.Theme FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID WHERE T1.Population > 1000
city: City_ID (number), Official_Name (text), Status (text), Area_km_2 (number), Population (number), Census_Ranking (text) | farm: Farm_ID (number), Year (number), Total_Horses (number), Working_Horses (number), Total_Cattle (number), Oxen (number), Bulls (number), Cows (number), Pigs (number), Sheep_and_Goats (number...
[ "What", "are", "the", "themes", "of", "competitions", "that", "have", "corresponding", "host", "cities", "with", "more", "than", "1000", "residents", "?" ]
farm
Please show the different statuses of cities and the average population of cities with each status.
SELECT Status , avg(Population) FROM city GROUP BY Status
city: City_ID (number), Official_Name (text), Status (text), Area_km_2 (number), Population (number), Census_Ranking (text) | farm: Farm_ID (number), Year (number), Total_Horses (number), Working_Horses (number), Total_Cattle (number), Oxen (number), Bulls (number), Cows (number), Pigs (number), Sheep_and_Goats (number...
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farm
What are the statuses and average populations of each city?
SELECT Status , avg(Population) FROM city GROUP BY Status
city: City_ID (number), Official_Name (text), Status (text), Area_km_2 (number), Population (number), Census_Ranking (text) | farm: Farm_ID (number), Year (number), Total_Horses (number), Working_Horses (number), Total_Cattle (number), Oxen (number), Bulls (number), Cows (number), Pigs (number), Sheep_and_Goats (number...
[ "What", "are", "the", "statuses", "and", "average", "populations", "of", "each", "city", "?" ]
farm
Please show the different statuses, ordered by the number of cities that have each.
SELECT Status FROM city GROUP BY Status ORDER BY COUNT(*) ASC
city: City_ID (number), Official_Name (text), Status (text), Area_km_2 (number), Population (number), Census_Ranking (text) | farm: Farm_ID (number), Year (number), Total_Horses (number), Working_Horses (number), Total_Cattle (number), Oxen (number), Bulls (number), Cows (number), Pigs (number), Sheep_and_Goats (number...
[ "Please", "show", "the", "different", "statuses", ",", "ordered", "by", "the", "number", "of", "cities", "that", "have", "each", "." ]
farm
Return the different statuses of cities, ascending by frequency.
SELECT Status FROM city GROUP BY Status ORDER BY COUNT(*) ASC
city: City_ID (number), Official_Name (text), Status (text), Area_km_2 (number), Population (number), Census_Ranking (text) | farm: Farm_ID (number), Year (number), Total_Horses (number), Working_Horses (number), Total_Cattle (number), Oxen (number), Bulls (number), Cows (number), Pigs (number), Sheep_and_Goats (number...
[ "Return", "the", "different", "statuses", "of", "cities", ",", "ascending", "by", "frequency", "." ]
farm
List the most common type of Status across cities.
SELECT Status FROM city GROUP BY Status ORDER BY COUNT(*) DESC LIMIT 1
city: City_ID (number), Official_Name (text), Status (text), Area_km_2 (number), Population (number), Census_Ranking (text) | farm: Farm_ID (number), Year (number), Total_Horses (number), Working_Horses (number), Total_Cattle (number), Oxen (number), Bulls (number), Cows (number), Pigs (number), Sheep_and_Goats (number...
[ "List", "the", "most", "common", "type", "of", "Status", "across", "cities", "." ]
farm
What is the most common status across all cities?
SELECT Status FROM city GROUP BY Status ORDER BY COUNT(*) DESC LIMIT 1
city: City_ID (number), Official_Name (text), Status (text), Area_km_2 (number), Population (number), Census_Ranking (text) | farm: Farm_ID (number), Year (number), Total_Horses (number), Working_Horses (number), Total_Cattle (number), Oxen (number), Bulls (number), Cows (number), Pigs (number), Sheep_and_Goats (number...
[ "What", "is", "the", "most", "common", "status", "across", "all", "cities", "?" ]
farm
List the official names of cities that have not held any competition.
SELECT Official_Name FROM city WHERE City_ID NOT IN (SELECT Host_city_ID FROM farm_competition)
city: City_ID (number), Official_Name (text), Status (text), Area_km_2 (number), Population (number), Census_Ranking (text) | farm: Farm_ID (number), Year (number), Total_Horses (number), Working_Horses (number), Total_Cattle (number), Oxen (number), Bulls (number), Cows (number), Pigs (number), Sheep_and_Goats (number...
[ "List", "the", "official", "names", "of", "cities", "that", "have", "not", "held", "any", "competition", "." ]
farm
What are the official names of cities that have not hosted a farm competition?
SELECT Official_Name FROM city WHERE City_ID NOT IN (SELECT Host_city_ID FROM farm_competition)
city: City_ID (number), Official_Name (text), Status (text), Area_km_2 (number), Population (number), Census_Ranking (text) | farm: Farm_ID (number), Year (number), Total_Horses (number), Working_Horses (number), Total_Cattle (number), Oxen (number), Bulls (number), Cows (number), Pigs (number), Sheep_and_Goats (number...
[ "What", "are", "the", "official", "names", "of", "cities", "that", "have", "not", "hosted", "a", "farm", "competition", "?" ]
farm
Show the status shared by cities with population bigger than 1500 and smaller than 500.
SELECT Status FROM city WHERE Population > 1500 INTERSECT SELECT Status FROM city WHERE Population < 500
city: City_ID (number), Official_Name (text), Status (text), Area_km_2 (number), Population (number), Census_Ranking (text) | farm: Farm_ID (number), Year (number), Total_Horses (number), Working_Horses (number), Total_Cattle (number), Oxen (number), Bulls (number), Cows (number), Pigs (number), Sheep_and_Goats (number...
[ "Show", "the", "status", "shared", "by", "cities", "with", "population", "bigger", "than", "1500", "and", "smaller", "than", "500", "." ]
farm
Which statuses correspond to both cities that have a population over 1500 and cities that have a population lower than 500?
SELECT Status FROM city WHERE Population > 1500 INTERSECT SELECT Status FROM city WHERE Population < 500
city: City_ID (number), Official_Name (text), Status (text), Area_km_2 (number), Population (number), Census_Ranking (text) | farm: Farm_ID (number), Year (number), Total_Horses (number), Working_Horses (number), Total_Cattle (number), Oxen (number), Bulls (number), Cows (number), Pigs (number), Sheep_and_Goats (number...
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farm
Find the official names of cities with population bigger than 1500 or smaller than 500.
SELECT Official_Name FROM city WHERE Population > 1500 OR Population < 500
city: City_ID (number), Official_Name (text), Status (text), Area_km_2 (number), Population (number), Census_Ranking (text) | farm: Farm_ID (number), Year (number), Total_Horses (number), Working_Horses (number), Total_Cattle (number), Oxen (number), Bulls (number), Cows (number), Pigs (number), Sheep_and_Goats (number...
[ "Find", "the", "official", "names", "of", "cities", "with", "population", "bigger", "than", "1500", "or", "smaller", "than", "500", "." ]
farm
What are the official names of cities that have population over 1500 or less than 500?
SELECT Official_Name FROM city WHERE Population > 1500 OR Population < 500
city: City_ID (number), Official_Name (text), Status (text), Area_km_2 (number), Population (number), Census_Ranking (text) | farm: Farm_ID (number), Year (number), Total_Horses (number), Working_Horses (number), Total_Cattle (number), Oxen (number), Bulls (number), Cows (number), Pigs (number), Sheep_and_Goats (number...
[ "What", "are", "the", "official", "names", "of", "cities", "that", "have", "population", "over", "1500", "or", "less", "than", "500", "?" ]
farm
Show the census ranking of cities whose status are not "Village".
SELECT Census_Ranking FROM city WHERE Status != "Village"
city: City_ID (number), Official_Name (text), Status (text), Area_km_2 (number), Population (number), Census_Ranking (text) | farm: Farm_ID (number), Year (number), Total_Horses (number), Working_Horses (number), Total_Cattle (number), Oxen (number), Bulls (number), Cows (number), Pigs (number), Sheep_and_Goats (number...
[ "Show", "the", "census", "ranking", "of", "cities", "whose", "status", "are", "not", "``", "Village", "''", "." ]
farm
What are the census rankings of cities that do not have the status "Village"?
SELECT Census_Ranking FROM city WHERE Status != "Village"
city: City_ID (number), Official_Name (text), Status (text), Area_km_2 (number), Population (number), Census_Ranking (text) | farm: Farm_ID (number), Year (number), Total_Horses (number), Working_Horses (number), Total_Cattle (number), Oxen (number), Bulls (number), Cows (number), Pigs (number), Sheep_and_Goats (number...
[ "What", "are", "the", "census", "rankings", "of", "cities", "that", "do", "not", "have", "the", "status", "``", "Village", "''", "?" ]
student_assessment
which course has most number of registered students?
SELECT T1.course_name FROM courses AS T1 JOIN student_course_registrations AS T2 ON T1.course_id = T2.course_Id GROUP BY T1.course_id ORDER BY count(*) DESC LIMIT 1
Addresses: address_id (number), line_1 (text), line_2 (text), city (text), zip_postcode (text), state_province_county (text), country (text) | People: person_id (number), first_name (text), middle_name (text), last_name (text), cell_mobile_number (text), email_address (text), login_name (text), password (text) | Studen...
[ "which", "course", "has", "most", "number", "of", "registered", "students", "?" ]
student_assessment
What is the name of the course with the most registered students?
SELECT T1.course_name FROM courses AS T1 JOIN student_course_registrations AS T2 ON T1.course_id = T2.course_Id GROUP BY T1.course_id ORDER BY count(*) DESC LIMIT 1
Addresses: address_id (number), line_1 (text), line_2 (text), city (text), zip_postcode (text), state_province_county (text), country (text) | People: person_id (number), first_name (text), middle_name (text), last_name (text), cell_mobile_number (text), email_address (text), login_name (text), password (text) | Studen...
[ "What", "is", "the", "name", "of", "the", "course", "with", "the", "most", "registered", "students", "?" ]
student_assessment
what is id of students who registered some courses but the least number of courses in these students?
SELECT student_id FROM student_course_registrations GROUP BY student_id ORDER BY count(*) LIMIT 1
Addresses: address_id (number), line_1 (text), line_2 (text), city (text), zip_postcode (text), state_province_county (text), country (text) | People: person_id (number), first_name (text), middle_name (text), last_name (text), cell_mobile_number (text), email_address (text), login_name (text), password (text) | Studen...
[ "what", "is", "id", "of", "students", "who", "registered", "some", "courses", "but", "the", "least", "number", "of", "courses", "in", "these", "students", "?" ]
student_assessment
What are the ids of the students who registered for some courses but had the least number of courses for all students?
SELECT student_id FROM student_course_registrations GROUP BY student_id ORDER BY count(*) LIMIT 1
Addresses: address_id (number), line_1 (text), line_2 (text), city (text), zip_postcode (text), state_province_county (text), country (text) | People: person_id (number), first_name (text), middle_name (text), last_name (text), cell_mobile_number (text), email_address (text), login_name (text), password (text) | Studen...
[ "What", "are", "the", "ids", "of", "the", "students", "who", "registered", "for", "some", "courses", "but", "had", "the", "least", "number", "of", "courses", "for", "all", "students", "?" ]
student_assessment
what are the first name and last name of all candidates?
SELECT T2.first_name , T2.last_name FROM candidates AS T1 JOIN people AS T2 ON T1.candidate_id = T2.person_id
Addresses: address_id (number), line_1 (text), line_2 (text), city (text), zip_postcode (text), state_province_county (text), country (text) | People: person_id (number), first_name (text), middle_name (text), last_name (text), cell_mobile_number (text), email_address (text), login_name (text), password (text) | Studen...
[ "what", "are", "the", "first", "name", "and", "last", "name", "of", "all", "candidates", "?" ]
student_assessment
What are the first and last names of all the candidates?
SELECT T2.first_name , T2.last_name FROM candidates AS T1 JOIN people AS T2 ON T1.candidate_id = T2.person_id
Addresses: address_id (number), line_1 (text), line_2 (text), city (text), zip_postcode (text), state_province_county (text), country (text) | People: person_id (number), first_name (text), middle_name (text), last_name (text), cell_mobile_number (text), email_address (text), login_name (text), password (text) | Studen...
[ "What", "are", "the", "first", "and", "last", "names", "of", "all", "the", "candidates", "?" ]
student_assessment
List the id of students who never attends courses?
SELECT student_id FROM students WHERE student_id NOT IN (SELECT student_id FROM student_course_attendance)
Addresses: address_id (number), line_1 (text), line_2 (text), city (text), zip_postcode (text), state_province_county (text), country (text) | People: person_id (number), first_name (text), middle_name (text), last_name (text), cell_mobile_number (text), email_address (text), login_name (text), password (text) | Studen...
[ "List", "the", "id", "of", "students", "who", "never", "attends", "courses", "?" ]
student_assessment
What are the ids of every student who has never attended a course?
SELECT student_id FROM students WHERE student_id NOT IN (SELECT student_id FROM student_course_attendance)
Addresses: address_id (number), line_1 (text), line_2 (text), city (text), zip_postcode (text), state_province_county (text), country (text) | People: person_id (number), first_name (text), middle_name (text), last_name (text), cell_mobile_number (text), email_address (text), login_name (text), password (text) | Studen...
[ "What", "are", "the", "ids", "of", "every", "student", "who", "has", "never", "attended", "a", "course", "?" ]
student_assessment
List the id of students who attended some courses?
SELECT student_id FROM student_course_attendance
Addresses: address_id (number), line_1 (text), line_2 (text), city (text), zip_postcode (text), state_province_county (text), country (text) | People: person_id (number), first_name (text), middle_name (text), last_name (text), cell_mobile_number (text), email_address (text), login_name (text), password (text) | Studen...
[ "List", "the", "id", "of", "students", "who", "attended", "some", "courses", "?" ]
student_assessment
What are the ids of all students who have attended at least one course?
SELECT student_id FROM student_course_attendance
Addresses: address_id (number), line_1 (text), line_2 (text), city (text), zip_postcode (text), state_province_county (text), country (text) | People: person_id (number), first_name (text), middle_name (text), last_name (text), cell_mobile_number (text), email_address (text), login_name (text), password (text) | Studen...
[ "What", "are", "the", "ids", "of", "all", "students", "who", "have", "attended", "at", "least", "one", "course", "?" ]
student_assessment
What are the ids of all students for courses and what are the names of those courses?
SELECT T1.student_id , T2.course_name FROM student_course_registrations AS T1 JOIN courses AS T2 ON T1.course_id = T2.course_id
Addresses: address_id (number), line_1 (text), line_2 (text), city (text), zip_postcode (text), state_province_county (text), country (text) | People: person_id (number), first_name (text), middle_name (text), last_name (text), cell_mobile_number (text), email_address (text), login_name (text), password (text) | Studen...
[ "What", "are", "the", "ids", "of", "all", "students", "for", "courses", "and", "what", "are", "the", "names", "of", "those", "courses", "?" ]
student_assessment
What is detail of the student who most recently registered course?
SELECT T2.student_details FROM student_course_registrations AS T1 JOIN students AS T2 ON T1.student_id = T2.student_id ORDER BY T1.registration_date DESC LIMIT 1
Addresses: address_id (number), line_1 (text), line_2 (text), city (text), zip_postcode (text), state_province_county (text), country (text) | People: person_id (number), first_name (text), middle_name (text), last_name (text), cell_mobile_number (text), email_address (text), login_name (text), password (text) | Studen...
[ "What", "is", "detail", "of", "the", "student", "who", "most", "recently", "registered", "course", "?" ]
student_assessment
What details do we have on the students who registered for courses most recently?
SELECT T2.student_details FROM student_course_registrations AS T1 JOIN students AS T2 ON T1.student_id = T2.student_id ORDER BY T1.registration_date DESC LIMIT 1
Addresses: address_id (number), line_1 (text), line_2 (text), city (text), zip_postcode (text), state_province_county (text), country (text) | People: person_id (number), first_name (text), middle_name (text), last_name (text), cell_mobile_number (text), email_address (text), login_name (text), password (text) | Studen...
[ "What", "details", "do", "we", "have", "on", "the", "students", "who", "registered", "for", "courses", "most", "recently", "?" ]
student_assessment
How many students attend course English?
SELECT count(*) FROM courses AS T1 JOIN student_course_attendance AS T2 ON T1.course_id = T2.course_id WHERE T1.course_name = "English"
Addresses: address_id (number), line_1 (text), line_2 (text), city (text), zip_postcode (text), state_province_county (text), country (text) | People: person_id (number), first_name (text), middle_name (text), last_name (text), cell_mobile_number (text), email_address (text), login_name (text), password (text) | Studen...
[ "How", "many", "students", "attend", "course", "English", "?" ]
student_assessment
How many students are attending English courses?
SELECT count(*) FROM courses AS T1 JOIN student_course_attendance AS T2 ON T1.course_id = T2.course_id WHERE T1.course_name = "English"
Addresses: address_id (number), line_1 (text), line_2 (text), city (text), zip_postcode (text), state_province_county (text), country (text) | People: person_id (number), first_name (text), middle_name (text), last_name (text), cell_mobile_number (text), email_address (text), login_name (text), password (text) | Studen...
[ "How", "many", "students", "are", "attending", "English", "courses", "?" ]
student_assessment
How many courses do the student whose id is 171 attend?
SELECT count(*) FROM courses AS T1 JOIN student_course_attendance AS T2 ON T1.course_id = T2.course_id WHERE T2.student_id = 171
Addresses: address_id (number), line_1 (text), line_2 (text), city (text), zip_postcode (text), state_province_county (text), country (text) | People: person_id (number), first_name (text), middle_name (text), last_name (text), cell_mobile_number (text), email_address (text), login_name (text), password (text) | Studen...
[ "How", "many", "courses", "do", "the", "student", "whose", "id", "is", "171", "attend", "?" ]
student_assessment
How many courses does the student with id 171 actually attend?
SELECT count(*) FROM courses AS T1 JOIN student_course_attendance AS T2 ON T1.course_id = T2.course_id WHERE T2.student_id = 171
Addresses: address_id (number), line_1 (text), line_2 (text), city (text), zip_postcode (text), state_province_county (text), country (text) | People: person_id (number), first_name (text), middle_name (text), last_name (text), cell_mobile_number (text), email_address (text), login_name (text), password (text) | Studen...
[ "How", "many", "courses", "does", "the", "student", "with", "id", "171", "actually", "attend", "?" ]
student_assessment
Find id of the candidate whose email is stanley.monahan@example.org?
SELECT T2.candidate_id FROM people AS T1 JOIN candidates AS T2 ON T1.person_id = T2.candidate_id WHERE T1.email_address = "stanley.monahan@example.org"
Addresses: address_id (number), line_1 (text), line_2 (text), city (text), zip_postcode (text), state_province_county (text), country (text) | People: person_id (number), first_name (text), middle_name (text), last_name (text), cell_mobile_number (text), email_address (text), login_name (text), password (text) | Studen...
[ "Find", "id", "of", "the", "candidate", "whose", "email", "is", "stanley.monahan", "@", "example.org", "?" ]
student_assessment
What is the id of the candidate whose email is stanley.monahan@example.org?
SELECT T2.candidate_id FROM people AS T1 JOIN candidates AS T2 ON T1.person_id = T2.candidate_id WHERE T1.email_address = "stanley.monahan@example.org"
Addresses: address_id (number), line_1 (text), line_2 (text), city (text), zip_postcode (text), state_province_county (text), country (text) | People: person_id (number), first_name (text), middle_name (text), last_name (text), cell_mobile_number (text), email_address (text), login_name (text), password (text) | Studen...
[ "What", "is", "the", "id", "of", "the", "candidate", "whose", "email", "is", "stanley.monahan", "@", "example.org", "?" ]
student_assessment
Find id of the candidate who most recently accessed the course?
SELECT candidate_id FROM candidate_assessments ORDER BY assessment_date DESC LIMIT 1
Addresses: address_id (number), line_1 (text), line_2 (text), city (text), zip_postcode (text), state_province_county (text), country (text) | People: person_id (number), first_name (text), middle_name (text), last_name (text), cell_mobile_number (text), email_address (text), login_name (text), password (text) | Studen...
[ "Find", "id", "of", "the", "candidate", "who", "most", "recently", "accessed", "the", "course", "?" ]
student_assessment
What is the id of the candidate who most recently accessed the course?
SELECT candidate_id FROM candidate_assessments ORDER BY assessment_date DESC LIMIT 1
Addresses: address_id (number), line_1 (text), line_2 (text), city (text), zip_postcode (text), state_province_county (text), country (text) | People: person_id (number), first_name (text), middle_name (text), last_name (text), cell_mobile_number (text), email_address (text), login_name (text), password (text) | Studen...
[ "What", "is", "the", "id", "of", "the", "candidate", "who", "most", "recently", "accessed", "the", "course", "?" ]
student_assessment
What is detail of the student who registered the most number of courses?
SELECT T1.student_details FROM students AS T1 JOIN student_course_registrations AS T2 ON T1.student_id = T2.student_id GROUP BY T1.student_id ORDER BY count(*) DESC LIMIT 1
Addresses: address_id (number), line_1 (text), line_2 (text), city (text), zip_postcode (text), state_province_county (text), country (text) | People: person_id (number), first_name (text), middle_name (text), last_name (text), cell_mobile_number (text), email_address (text), login_name (text), password (text) | Studen...
[ "What", "is", "detail", "of", "the", "student", "who", "registered", "the", "most", "number", "of", "courses", "?" ]
student_assessment
What are the details of the student who registered for the most number of courses?
SELECT T1.student_details FROM students AS T1 JOIN student_course_registrations AS T2 ON T1.student_id = T2.student_id GROUP BY T1.student_id ORDER BY count(*) DESC LIMIT 1
Addresses: address_id (number), line_1 (text), line_2 (text), city (text), zip_postcode (text), state_province_county (text), country (text) | People: person_id (number), first_name (text), middle_name (text), last_name (text), cell_mobile_number (text), email_address (text), login_name (text), password (text) | Studen...
[ "What", "are", "the", "details", "of", "the", "student", "who", "registered", "for", "the", "most", "number", "of", "courses", "?" ]
student_assessment
List the id of students who registered some courses and the number of their registered courses?
SELECT T1.student_id , count(*) FROM students AS T1 JOIN student_course_registrations AS T2 ON T1.student_id = T2.student_id GROUP BY T1.student_id
Addresses: address_id (number), line_1 (text), line_2 (text), city (text), zip_postcode (text), state_province_county (text), country (text) | People: person_id (number), first_name (text), middle_name (text), last_name (text), cell_mobile_number (text), email_address (text), login_name (text), password (text) | Studen...
[ "List", "the", "id", "of", "students", "who", "registered", "some", "courses", "and", "the", "number", "of", "their", "registered", "courses", "?" ]
student_assessment
For every student who is registered for some course, how many courses are they registered for?
SELECT T1.student_id , count(*) FROM students AS T1 JOIN student_course_registrations AS T2 ON T1.student_id = T2.student_id GROUP BY T1.student_id
Addresses: address_id (number), line_1 (text), line_2 (text), city (text), zip_postcode (text), state_province_county (text), country (text) | People: person_id (number), first_name (text), middle_name (text), last_name (text), cell_mobile_number (text), email_address (text), login_name (text), password (text) | Studen...
[ "For", "every", "student", "who", "is", "registered", "for", "some", "course", ",", "how", "many", "courses", "are", "they", "registered", "for", "?" ]
student_assessment
How many registed students do each course have? List course name and the number of their registered students?
SELECT T3.course_name , count(*) FROM students AS T1 JOIN student_course_registrations AS T2 ON T1.student_id = T2.student_id JOIN courses AS T3 ON T2.course_id = T3.course_id GROUP BY T2.course_id
Addresses: address_id (number), line_1 (text), line_2 (text), city (text), zip_postcode (text), state_province_county (text), country (text) | People: person_id (number), first_name (text), middle_name (text), last_name (text), cell_mobile_number (text), email_address (text), login_name (text), password (text) | Studen...
[ "How", "many", "registed", "students", "do", "each", "course", "have", "?", "List", "course", "name", "and", "the", "number", "of", "their", "registered", "students", "?" ]
student_assessment
For each course id, how many students are registered and what are the course names?
SELECT T3.course_name , count(*) FROM students AS T1 JOIN student_course_registrations AS T2 ON T1.student_id = T2.student_id JOIN courses AS T3 ON T2.course_id = T3.course_id GROUP BY T2.course_id
Addresses: address_id (number), line_1 (text), line_2 (text), city (text), zip_postcode (text), state_province_county (text), country (text) | People: person_id (number), first_name (text), middle_name (text), last_name (text), cell_mobile_number (text), email_address (text), login_name (text), password (text) | Studen...
[ "For", "each", "course", "id", ",", "how", "many", "students", "are", "registered", "and", "what", "are", "the", "course", "names", "?" ]
student_assessment
Find id of candidates whose assessment code is "Pass"?
SELECT candidate_id FROM candidate_assessments WHERE asessment_outcome_code = "Pass"
Addresses: address_id (number), line_1 (text), line_2 (text), city (text), zip_postcode (text), state_province_county (text), country (text) | People: person_id (number), first_name (text), middle_name (text), last_name (text), cell_mobile_number (text), email_address (text), login_name (text), password (text) | Studen...
[ "Find", "id", "of", "candidates", "whose", "assessment", "code", "is", "``", "Pass", "''", "?" ]
student_assessment
What are the ids of the candidates that have an outcome code of Pass?
SELECT candidate_id FROM candidate_assessments WHERE asessment_outcome_code = "Pass"
Addresses: address_id (number), line_1 (text), line_2 (text), city (text), zip_postcode (text), state_province_county (text), country (text) | People: person_id (number), first_name (text), middle_name (text), last_name (text), cell_mobile_number (text), email_address (text), login_name (text), password (text) | Studen...
[ "What", "are", "the", "ids", "of", "the", "candidates", "that", "have", "an", "outcome", "code", "of", "Pass", "?" ]
student_assessment
Find the cell mobile number of the candidates whose assessment code is "Fail"?
SELECT T3.cell_mobile_number FROM candidates AS T1 JOIN candidate_assessments AS T2 ON T1.candidate_id = T2.candidate_id JOIN people AS T3 ON T1.candidate_id = T3.person_id WHERE T2.asessment_outcome_code = "Fail"
Addresses: address_id (number), line_1 (text), line_2 (text), city (text), zip_postcode (text), state_province_county (text), country (text) | People: person_id (number), first_name (text), middle_name (text), last_name (text), cell_mobile_number (text), email_address (text), login_name (text), password (text) | Studen...
[ "Find", "the", "cell", "mobile", "number", "of", "the", "candidates", "whose", "assessment", "code", "is", "``", "Fail", "''", "?" ]
student_assessment
What are the cell phone numbers of the candidates that received an assessment code of "Fail"?
SELECT T3.cell_mobile_number FROM candidates AS T1 JOIN candidate_assessments AS T2 ON T1.candidate_id = T2.candidate_id JOIN people AS T3 ON T1.candidate_id = T3.person_id WHERE T2.asessment_outcome_code = "Fail"
Addresses: address_id (number), line_1 (text), line_2 (text), city (text), zip_postcode (text), state_province_county (text), country (text) | People: person_id (number), first_name (text), middle_name (text), last_name (text), cell_mobile_number (text), email_address (text), login_name (text), password (text) | Studen...
[ "What", "are", "the", "cell", "phone", "numbers", "of", "the", "candidates", "that", "received", "an", "assessment", "code", "of", "``", "Fail", "''", "?" ]
student_assessment
What are the id of students who registered course 301?
SELECT student_id FROM student_course_attendance WHERE course_id = 301
Addresses: address_id (number), line_1 (text), line_2 (text), city (text), zip_postcode (text), state_province_county (text), country (text) | People: person_id (number), first_name (text), middle_name (text), last_name (text), cell_mobile_number (text), email_address (text), login_name (text), password (text) | Studen...
[ "What", "are", "the", "id", "of", "students", "who", "registered", "course", "301", "?" ]
student_assessment
What are the ids of the students who registered for course 301?
SELECT student_id FROM student_course_attendance WHERE course_id = 301
Addresses: address_id (number), line_1 (text), line_2 (text), city (text), zip_postcode (text), state_province_county (text), country (text) | People: person_id (number), first_name (text), middle_name (text), last_name (text), cell_mobile_number (text), email_address (text), login_name (text), password (text) | Studen...
[ "What", "are", "the", "ids", "of", "the", "students", "who", "registered", "for", "course", "301", "?" ]
student_assessment
What is the id of the student who most recently registered course 301?
SELECT student_id FROM student_course_attendance WHERE course_id = 301 ORDER BY date_of_attendance DESC LIMIT 1
Addresses: address_id (number), line_1 (text), line_2 (text), city (text), zip_postcode (text), state_province_county (text), country (text) | People: person_id (number), first_name (text), middle_name (text), last_name (text), cell_mobile_number (text), email_address (text), login_name (text), password (text) | Studen...
[ "What", "is", "the", "id", "of", "the", "student", "who", "most", "recently", "registered", "course", "301", "?" ]
student_assessment
What are the ids of the students who registered for course 301 most recently?
SELECT student_id FROM student_course_attendance WHERE course_id = 301 ORDER BY date_of_attendance DESC LIMIT 1
Addresses: address_id (number), line_1 (text), line_2 (text), city (text), zip_postcode (text), state_province_county (text), country (text) | People: person_id (number), first_name (text), middle_name (text), last_name (text), cell_mobile_number (text), email_address (text), login_name (text), password (text) | Studen...
[ "What", "are", "the", "ids", "of", "the", "students", "who", "registered", "for", "course", "301", "most", "recently", "?" ]
student_assessment
Find distinct cities of addresses of people?
SELECT DISTINCT T1.city FROM addresses AS T1 JOIN people_addresses AS T2 ON T1.address_id = T2.address_id
Addresses: address_id (number), line_1 (text), line_2 (text), city (text), zip_postcode (text), state_province_county (text), country (text) | People: person_id (number), first_name (text), middle_name (text), last_name (text), cell_mobile_number (text), email_address (text), login_name (text), password (text) | Studen...
[ "Find", "distinct", "cities", "of", "addresses", "of", "people", "?" ]
student_assessment
What are the different cities where people live?
SELECT DISTINCT T1.city FROM addresses AS T1 JOIN people_addresses AS T2 ON T1.address_id = T2.address_id
Addresses: address_id (number), line_1 (text), line_2 (text), city (text), zip_postcode (text), state_province_county (text), country (text) | People: person_id (number), first_name (text), middle_name (text), last_name (text), cell_mobile_number (text), email_address (text), login_name (text), password (text) | Studen...
[ "What", "are", "the", "different", "cities", "where", "people", "live", "?" ]
student_assessment
Find distinct cities of address of students?
SELECT DISTINCT T1.city FROM addresses AS T1 JOIN people_addresses AS T2 ON T1.address_id = T2.address_id JOIN students AS T3 ON T2.person_id = T3.student_id
Addresses: address_id (number), line_1 (text), line_2 (text), city (text), zip_postcode (text), state_province_county (text), country (text) | People: person_id (number), first_name (text), middle_name (text), last_name (text), cell_mobile_number (text), email_address (text), login_name (text), password (text) | Studen...
[ "Find", "distinct", "cities", "of", "address", "of", "students", "?" ]
student_assessment
What are the different cities where students live?
SELECT DISTINCT T1.city FROM addresses AS T1 JOIN people_addresses AS T2 ON T1.address_id = T2.address_id JOIN students AS T3 ON T2.person_id = T3.student_id
Addresses: address_id (number), line_1 (text), line_2 (text), city (text), zip_postcode (text), state_province_county (text), country (text) | People: person_id (number), first_name (text), middle_name (text), last_name (text), cell_mobile_number (text), email_address (text), login_name (text), password (text) | Studen...
[ "What", "are", "the", "different", "cities", "where", "students", "live", "?" ]
student_assessment
List the names of courses in alphabetical order?
SELECT course_name FROM courses ORDER BY course_name
Addresses: address_id (number), line_1 (text), line_2 (text), city (text), zip_postcode (text), state_province_county (text), country (text) | People: person_id (number), first_name (text), middle_name (text), last_name (text), cell_mobile_number (text), email_address (text), login_name (text), password (text) | Studen...
[ "List", "the", "names", "of", "courses", "in", "alphabetical", "order", "?" ]
student_assessment
What are the names of the courses in alphabetical order?
SELECT course_name FROM courses ORDER BY course_name
Addresses: address_id (number), line_1 (text), line_2 (text), city (text), zip_postcode (text), state_province_county (text), country (text) | People: person_id (number), first_name (text), middle_name (text), last_name (text), cell_mobile_number (text), email_address (text), login_name (text), password (text) | Studen...
[ "What", "are", "the", "names", "of", "the", "courses", "in", "alphabetical", "order", "?" ]
student_assessment
List the first names of people in alphabetical order?
SELECT first_name FROM people ORDER BY first_name
Addresses: address_id (number), line_1 (text), line_2 (text), city (text), zip_postcode (text), state_province_county (text), country (text) | People: person_id (number), first_name (text), middle_name (text), last_name (text), cell_mobile_number (text), email_address (text), login_name (text), password (text) | Studen...
[ "List", "the", "first", "names", "of", "people", "in", "alphabetical", "order", "?" ]
student_assessment
What are the first names of the people in alphabetical order?
SELECT first_name FROM people ORDER BY first_name
Addresses: address_id (number), line_1 (text), line_2 (text), city (text), zip_postcode (text), state_province_county (text), country (text) | People: person_id (number), first_name (text), middle_name (text), last_name (text), cell_mobile_number (text), email_address (text), login_name (text), password (text) | Studen...
[ "What", "are", "the", "first", "names", "of", "the", "people", "in", "alphabetical", "order", "?" ]
student_assessment
What are the id of students who registered courses or attended courses?
SELECT student_id FROM student_course_registrations UNION SELECT student_id FROM student_course_attendance
Addresses: address_id (number), line_1 (text), line_2 (text), city (text), zip_postcode (text), state_province_county (text), country (text) | People: person_id (number), first_name (text), middle_name (text), last_name (text), cell_mobile_number (text), email_address (text), login_name (text), password (text) | Studen...
[ "What", "are", "the", "id", "of", "students", "who", "registered", "courses", "or", "attended", "courses", "?" ]
End of preview. Expand in Data Studio

YAML Metadata Warning:The task_categories "text2text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other

SPIDER Text-to-SQL — Easy Access Version

A clean, HuggingFace-native version of the SPIDER Text-to-SQL benchmark. The original SPIDER dataset requires manually downloading a ZIP file from the Spider website. This version makes it instantly accessible via load_dataset.

What's Included

Each row contains the question, gold SQL, the database identifier, and a pre-parsed compact schema string — everything needed to train or evaluate a Text-to-SQL model without any additional preprocessing.

Column Description
db_id Database identifier (e.g. "concert_singer")
question Natural language question
query Gold standard SQL answer
db_schema Compact schema: `"table: col (type), col (type)
question_toks Tokenized question words (list of strings)

Splits

Split Source file Examples
train train_spider.json 7,000
test train_others.json 1,034

Note: Following standard SPIDER practice, train_others.json is used as the held-out evaluation set. The original SPIDER test set is withheld for the official leaderboard.

Usage

from datasets import load_dataset

dataset = load_dataset("YOUR_USERNAME/spider-text2sql")

train = dataset["train"]
test  = dataset["test"]

# Access fields
example = train[0]
print(example["question"])   # "How many heads of the departments are older than 56?"
print(example["query"])      # "SELECT count(*) FROM head WHERE age > 56"
print(example["db_id"])      # "department_management"
print(example["db_schema"])  # "department: Department_ID (number), ... | head: ..."

Schema Format

The db_schema column uses a compact linear format widely used in the Text-to-SQL literature:

table1: col1 (type), col2 (type), col3 (type) | table2: col4 (type), col5 (type)

This format is:

  • Human-readable and model-friendly
  • Fits within typical 512-token input limits for most seq2seq models
  • Derived directly from the official SPIDER tables.json

Fine-tuning Example (Flan-T5 prompt format)

This dataset pairs naturally with prompt-based fine-tuning:

def build_prompt(example):
    return (
        f"Translate to SQL: {example['question']}\n"
        f"Database schema:\n{example['db_schema']}"
    )

# example["query"] is the target output

Difference from Original SPIDER

Original SPIDER This Dataset
Download method Manual ZIP from website load_dataset(...)
Schema included Separate tables.json ✅ Pre-joined per example
Complex sql dict ✅ Included ❌ Omitted (noisy for most use cases)
query_toks_no_value ✅ Included ❌ Omitted
Ready to train Requires preprocessing ✅ Yes

Source & License

  • Original dataset: SPIDER (Yu et al., 2018)
  • License: Creative Commons Attribution-ShareAlike 4.0 (CC BY-SA 4.0)
  • This derived dataset is released under the same license.

Citation

@inproceedings{yu-etal-2018-spider,
    title     = "{S}pider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-{SQL} Task",
    author    = "Yu, Tao and others",
    booktitle = "Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing",
    year      = "2018",
    url       = "https://aclanthology.org/D18-1425",
}
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