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[INST] Here is a database schema: department : Department_ID [ INT ] primary_key Name [ TEXT ] Creation [ TEXT ] Ranking [ INT ] Budget_in_Billions [ INT ] Num_Employees [ INT ] head : head_ID [ INT ] primary_key name [ TEXT ] born_state [ TEXT ] age [ INT ] management : department_ID [ INT ] primary_key management.d...
SELECT count(*) FROM head WHERE age > 56;
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[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 311, 8076, 584, 13, 8498, 442, 358, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 1170, 518, 323, 12194, 4514, 13, 9832, 362, 518, 323, 12194, 4514, 13, 29934, 804,...
[INST] Here is a database schema: department : Department_ID [ INT ] primary_key Name [ TEXT ] Creation [ TEXT ] Ranking [ INT ] Budget_in_Billions [ INT ] Num_Employees [ INT ] head : head_ID [ INT ] primary_key name [ TEXT ] born_state [ TEXT ] age [ INT ] management : department_ID [ INT ] primary_key management.d...
SELECT name , born_state , age FROM head ORDER BY age;
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[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 311, 8076, 584, 13, 8498, 442, 358, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 1170, 518, 323, 12194, 4514, 13, 9832, 362, 518, 323, 12194, 4514, 13, 29934, 804,...
[INST] Here is a database schema: department : Department_ID [ INT ] primary_key Name [ TEXT ] Creation [ TEXT ] Ranking [ INT ] Budget_in_Billions [ INT ] Num_Employees [ INT ] head : head_ID [ INT ] primary_key name [ TEXT ] born_state [ TEXT ] age [ INT ] management : department_ID [ INT ] primary_key management.d...
SELECT creation , name , budget_in_billions FROM department;
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[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 311, 8076, 584, 13, 8498, 442, 358, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 1170, 518, 323, 12194, 4514, 13, 9832, 362, 518, 323, 12194, 4514, 13, 29934, 804,...
[INST] Here is a database schema: department : Department_ID [ INT ] primary_key Name [ TEXT ] Creation [ TEXT ] Ranking [ INT ] Budget_in_Billions [ INT ] Num_Employees [ INT ] head : head_ID [ INT ] primary_key name [ TEXT ] born_state [ TEXT ] age [ INT ] management : department_ID [ INT ] primary_key management.d...
SELECT max(budget_in_billions) , min(budget_in_billions) FROM department;
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[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 311, 8076, 584, 13, 8498, 442, 358, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 1170, 518, 323, 12194, 4514, 13, 9832, 362, 518, 323, 12194, 4514, 13, 29934, 804,...
[INST] Here is a database schema: department : Department_ID [ INT ] primary_key Name [ TEXT ] Creation [ TEXT ] Ranking [ INT ] Budget_in_Billions [ INT ] Num_Employees [ INT ] head : head_ID [ INT ] primary_key name [ TEXT ] born_state [ TEXT ] age [ INT ] management : department_ID [ INT ] primary_key management.d...
SELECT avg(num_employees) FROM department WHERE ranking BETWEEN 10 AND 15;
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[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 311, 8076, 584, 13, 8498, 442, 358, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 1170, 518, 323, 12194, 4514, 13, 9832, 362, 518, 323, 12194, 4514, 13, 29934, 804,...
[INST] Here is a database schema: department : Department_ID [ INT ] primary_key Name [ TEXT ] Creation [ TEXT ] Ranking [ INT ] Budget_in_Billions [ INT ] Num_Employees [ INT ] head : head_ID [ INT ] primary_key name [ TEXT ] born_state [ TEXT ] age [ INT ] management : department_ID [ INT ] primary_key management.d...
SELECT name FROM head WHERE born_state != 'California';
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[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 311, 8076, 584, 13, 8498, 442, 358, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 1170, 518, 323, 12194, 4514, 13, 9832, 362, 518, 323, 12194, 4514, 13, 29934, 804,...
[INST] Here is a database schema: department : Department_ID [ INT ] primary_key Name [ TEXT ] Creation [ TEXT ] Ranking [ INT ] Budget_in_Billions [ INT ] Num_Employees [ INT ] head : head_ID [ INT ] primary_key name [ TEXT ] born_state [ TEXT ] age [ INT ] management : department_ID [ INT ] primary_key management.d...
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';
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[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 311, 8076, 584, 13, 8498, 442, 358, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 1170, 518, 323, 12194, 4514, 13, 9832, 362, 518, 323, 12194, 4514, 13, 29934, 804,...
[INST] Here is a database schema: department : Department_ID [ INT ] primary_key Name [ TEXT ] Creation [ TEXT ] Ranking [ INT ] Budget_in_Billions [ INT ] Num_Employees [ INT ] head : head_ID [ INT ] primary_key name [ TEXT ] born_state [ TEXT ] age [ INT ] management : department_ID [ INT ] primary_key management.d...
SELECT born_state FROM head GROUP BY born_state HAVING count(*) >= 3;
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[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 311, 8076, 584, 13, 8498, 442, 358, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 1170, 518, 323, 12194, 4514, 13, 9832, 362, 518, 323, 12194, 4514, 13, 29934, 804,...
[INST] Here is a database schema: department : Department_ID [ INT ] primary_key Name [ TEXT ] Creation [ TEXT ] Ranking [ INT ] Budget_in_Billions [ INT ] Num_Employees [ INT ] head : head_ID [ INT ] primary_key name [ TEXT ] born_state [ TEXT ] age [ INT ] management : department_ID [ INT ] primary_key management.d...
SELECT creation FROM department GROUP BY creation ORDER BY count(*) DESC LIMIT 1;
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 311, 8076, 584, 13, 8498, 442, 358, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 1170, 518, 323, 12194, 4514, 13, 9832, 362, 518, 323, 12194, 4514, 13, 29934, 804,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 311, 8076, 584, 13, 8498, 442, 358, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 1170, 518, 323, 12194, 4514, 13, 9832, 362, 518, 323, 12194, 4514, 13, 29934, 804,...
[INST] Here is a database schema: department : Department_ID [ INT ] primary_key Name [ TEXT ] Creation [ TEXT ] Ranking [ INT ] Budget_in_Billions [ INT ] Num_Employees [ INT ] head : head_ID [ INT ] primary_key name [ TEXT ] born_state [ TEXT ] age [ INT ] management : department_ID [ INT ] primary_key management.d...
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';
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[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 311, 8076, 584, 13, 8498, 442, 358, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 1170, 518, 323, 12194, 4514, 13, 9832, 362, 518, 323, 12194, 4514, 13, 29934, 804,...
[INST] Here is a database schema: department : Department_ID [ INT ] primary_key Name [ TEXT ] Creation [ TEXT ] Ranking [ INT ] Budget_in_Billions [ INT ] Num_Employees [ INT ] head : head_ID [ INT ] primary_key name [ TEXT ] born_state [ TEXT ] age [ INT ] management : department_ID [ INT ] primary_key management.d...
SELECT count(DISTINCT temporary_acting) FROM management;
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[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 311, 8076, 584, 13, 8498, 442, 358, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 1170, 518, 323, 12194, 4514, 13, 9832, 362, 518, 323, 12194, 4514, 13, 29934, 804,...
[INST] Here is a database schema: department : Department_ID [ INT ] primary_key Name [ TEXT ] Creation [ TEXT ] Ranking [ INT ] Budget_in_Billions [ INT ] Num_Employees [ INT ] head : head_ID [ INT ] primary_key name [ TEXT ] born_state [ TEXT ] age [ INT ] management : department_ID [ INT ] primary_key management.d...
SELECT count(*) FROM department WHERE department_id NOT IN (SELECT department_id FROM management);
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 311, 8076, 584, 13, 8498, 442, 358, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 1170, 518, 323, 12194, 4514, 13, 9832, 362, 518, 323, 12194, 4514, 13, 29934, 804,...
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[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 311, 8076, 584, 13, 8498, 442, 358, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 1170, 518, 323, 12194, 4514, 13, 9832, 362, 518, 323, 12194, 4514, 13, 29934, 804,...
[INST] Here is a database schema: department : Department_ID [ INT ] primary_key Name [ TEXT ] Creation [ TEXT ] Ranking [ INT ] Budget_in_Billions [ INT ] Num_Employees [ INT ] head : head_ID [ INT ] primary_key name [ TEXT ] born_state [ TEXT ] age [ INT ] management : department_ID [ INT ] primary_key management.d...
SELECT DISTINCT T1.age FROM management AS T2 JOIN head AS T1 ON T1.head_id = T2.head_id WHERE T2.temporary_acting = 'Yes';
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 311, 8076, 584, 13, 8498, 442, 358, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 1170, 518, 323, 12194, 4514, 13, 9832, 362, 518, 323, 12194, 4514, 13, 29934, 804,...
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[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 311, 8076, 584, 13, 8498, 442, 358, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 1170, 518, 323, 12194, 4514, 13, 9832, 362, 518, 323, 12194, 4514, 13, 29934, 804,...
[INST] Here is a database schema: department : Department_ID [ INT ] primary_key Name [ TEXT ] Creation [ TEXT ] Ranking [ INT ] Budget_in_Billions [ INT ] Num_Employees [ INT ] head : head_ID [ INT ] primary_key name [ TEXT ] born_state [ TEXT ] age [ INT ] management : department_ID [ INT ] primary_key management.d...
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...
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 311, 8076, 584, 13, 8498, 442, 358, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 1170, 518, 323, 12194, 4514, 13, 9832, 362, 518, 323, 12194, 4514, 13, 29934, 804,...
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[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 311, 8076, 584, 13, 8498, 442, 358, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 1170, 518, 323, 12194, 4514, 13, 9832, 362, 518, 323, 12194, 4514, 13, 29934, 804,...
[INST] Here is a database schema: department : Department_ID [ INT ] primary_key Name [ TEXT ] Creation [ TEXT ] Ranking [ INT ] Budget_in_Billions [ INT ] Num_Employees [ INT ] head : head_ID [ INT ] primary_key name [ TEXT ] born_state [ TEXT ] age [ INT ] management : department_ID [ INT ] primary_key management.d...
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;
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[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 311, 8076, 584, 13, 8498, 442, 358, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 1170, 518, 323, 12194, 4514, 13, 9832, 362, 518, 323, 12194, 4514, 13, 29934, 804,...
[INST] Here is a database schema: department : Department_ID [ INT ] primary_key Name [ TEXT ] Creation [ TEXT ] Ranking [ INT ] Budget_in_Billions [ INT ] Num_Employees [ INT ] head : head_ID [ INT ] primary_key name [ TEXT ] born_state [ TEXT ] age [ INT ] management : department_ID [ INT ] primary_key management.d...
SELECT head_id , name FROM head WHERE name LIKE '%Ha%';
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[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 311, 8076, 584, 13, 8498, 442, 358, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 1170, 518, 323, 12194, 4514, 13, 9832, 362, 518, 323, 12194, 4514, 13, 29934, 804,...
[INST] Here is a database schema: city : City_ID [ INT ] primary_key Official_Name [ TEXT ] Status [ TEXT ] Area_km_2 [ INT ] Population [ INT ] Census_Ranking [ TEXT ] farm : Farm_ID [ INT ] primary_key Year [ INT ] Total_Horses [ INT ] Working_Horses [ INT ] Total_Cattle [ INT ] Oxen [ INT ] Bulls [ INT ] Cows [ INT...
SELECT count(*) FROM farm;
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
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[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[INST] Here is a database schema: city : City_ID [ INT ] primary_key Official_Name [ TEXT ] Status [ TEXT ] Area_km_2 [ INT ] Population [ INT ] Census_Ranking [ TEXT ] farm : Farm_ID [ INT ] primary_key Year [ INT ] Total_Horses [ INT ] Working_Horses [ INT ] Total_Cattle [ INT ] Oxen [ INT ] Bulls [ INT ] Cows [ INT...
SELECT count(*) FROM farm;
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[INST] Here is a database schema: city : City_ID [ INT ] primary_key Official_Name [ TEXT ] Status [ TEXT ] Area_km_2 [ INT ] Population [ INT ] Census_Ranking [ TEXT ] farm : Farm_ID [ INT ] primary_key Year [ INT ] Total_Horses [ INT ] Working_Horses [ INT ] Total_Cattle [ INT ] Oxen [ INT ] Bulls [ INT ] Cows [ INT...
SELECT Total_Horses FROM farm ORDER BY Total_Horses ASC;
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[INST] Here is a database schema: city : City_ID [ INT ] primary_key Official_Name [ TEXT ] Status [ TEXT ] Area_km_2 [ INT ] Population [ INT ] Census_Ranking [ TEXT ] farm : Farm_ID [ INT ] primary_key Year [ INT ] Total_Horses [ INT ] Working_Horses [ INT ] Total_Cattle [ INT ] Oxen [ INT ] Bulls [ INT ] Cows [ INT...
SELECT Total_Horses FROM farm ORDER BY Total_Horses ASC;
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[INST] Here is a database schema: city : City_ID [ INT ] primary_key Official_Name [ TEXT ] Status [ TEXT ] Area_km_2 [ INT ] Population [ INT ] Census_Ranking [ TEXT ] farm : Farm_ID [ INT ] primary_key Year [ INT ] Total_Horses [ INT ] Working_Horses [ INT ] Total_Cattle [ INT ] Oxen [ INT ] Bulls [ INT ] Cows [ INT...
SELECT Hosts FROM farm_competition WHERE Theme != 'Aliens';
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[INST] Here is a database schema: city : City_ID [ INT ] primary_key Official_Name [ TEXT ] Status [ TEXT ] Area_km_2 [ INT ] Population [ INT ] Census_Ranking [ TEXT ] farm : Farm_ID [ INT ] primary_key Year [ INT ] Total_Horses [ INT ] Working_Horses [ INT ] Total_Cattle [ INT ] Oxen [ INT ] Bulls [ INT ] Cows [ INT...
SELECT Hosts FROM farm_competition WHERE Theme != 'Aliens';
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[INST] Here is a database schema: city : City_ID [ INT ] primary_key Official_Name [ TEXT ] Status [ TEXT ] Area_km_2 [ INT ] Population [ INT ] Census_Ranking [ TEXT ] farm : Farm_ID [ INT ] primary_key Year [ INT ] Total_Horses [ INT ] Working_Horses [ INT ] Total_Cattle [ INT ] Oxen [ INT ] Bulls [ INT ] Cows [ INT...
SELECT Theme FROM farm_competition ORDER BY YEAR ASC;
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[INST] Here is a database schema: city : City_ID [ INT ] primary_key Official_Name [ TEXT ] Status [ TEXT ] Area_km_2 [ INT ] Population [ INT ] Census_Ranking [ TEXT ] farm : Farm_ID [ INT ] primary_key Year [ INT ] Total_Horses [ INT ] Working_Horses [ INT ] Total_Cattle [ INT ] Oxen [ INT ] Bulls [ INT ] Cows [ INT...
SELECT Theme FROM farm_competition ORDER BY YEAR ASC;
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[INST] Here is a database schema: city : City_ID [ INT ] primary_key Official_Name [ TEXT ] Status [ TEXT ] Area_km_2 [ INT ] Population [ INT ] Census_Ranking [ TEXT ] farm : Farm_ID [ INT ] primary_key Year [ INT ] Total_Horses [ INT ] Working_Horses [ INT ] Total_Cattle [ INT ] Oxen [ INT ] Bulls [ INT ] Cows [ INT...
SELECT avg(Working_Horses) FROM farm WHERE Total_Horses > 5000;
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[INST] Here is a database schema: city : City_ID [ INT ] primary_key Official_Name [ TEXT ] Status [ TEXT ] Area_km_2 [ INT ] Population [ INT ] Census_Ranking [ TEXT ] farm : Farm_ID [ INT ] primary_key Year [ INT ] Total_Horses [ INT ] Working_Horses [ INT ] Total_Cattle [ INT ] Oxen [ INT ] Bulls [ INT ] Cows [ INT...
SELECT avg(Working_Horses) FROM farm WHERE Total_Horses > 5000;
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[INST] Here is a database schema: city : City_ID [ INT ] primary_key Official_Name [ TEXT ] Status [ TEXT ] Area_km_2 [ INT ] Population [ INT ] Census_Ranking [ TEXT ] farm : Farm_ID [ INT ] primary_key Year [ INT ] Total_Horses [ INT ] Working_Horses [ INT ] Total_Cattle [ INT ] Oxen [ INT ] Bulls [ INT ] Cows [ INT...
SELECT max(Cows) , min(Cows) FROM farm;
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[INST] Here is a database schema: city : City_ID [ INT ] primary_key Official_Name [ TEXT ] Status [ TEXT ] Area_km_2 [ INT ] Population [ INT ] Census_Ranking [ TEXT ] farm : Farm_ID [ INT ] primary_key Year [ INT ] Total_Horses [ INT ] Working_Horses [ INT ] Total_Cattle [ INT ] Oxen [ INT ] Bulls [ INT ] Cows [ INT...
SELECT max(Cows) , min(Cows) FROM farm;
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[INST] Here is a database schema: city : City_ID [ INT ] primary_key Official_Name [ TEXT ] Status [ TEXT ] Area_km_2 [ INT ] Population [ INT ] Census_Ranking [ TEXT ] farm : Farm_ID [ INT ] primary_key Year [ INT ] Total_Horses [ INT ] Working_Horses [ INT ] Total_Cattle [ INT ] Oxen [ INT ] Bulls [ INT ] Cows [ INT...
SELECT count(DISTINCT Status) FROM city;
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[INST] Here is a database schema: city : City_ID [ INT ] primary_key Official_Name [ TEXT ] Status [ TEXT ] Area_km_2 [ INT ] Population [ INT ] Census_Ranking [ TEXT ] farm : Farm_ID [ INT ] primary_key Year [ INT ] Total_Horses [ INT ] Working_Horses [ INT ] Total_Cattle [ INT ] Oxen [ INT ] Bulls [ INT ] Cows [ INT...
SELECT count(DISTINCT Status) FROM city;
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[INST] Here is a database schema: city : City_ID [ INT ] primary_key Official_Name [ TEXT ] Status [ TEXT ] Area_km_2 [ INT ] Population [ INT ] Census_Ranking [ TEXT ] farm : Farm_ID [ INT ] primary_key Year [ INT ] Total_Horses [ INT ] Working_Horses [ INT ] Total_Cattle [ INT ] Oxen [ INT ] Bulls [ INT ] Cows [ INT...
SELECT Official_Name FROM city ORDER BY Population DESC;
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[INST] Here is a database schema: city : City_ID [ INT ] primary_key Official_Name [ TEXT ] Status [ TEXT ] Area_km_2 [ INT ] Population [ INT ] Census_Ranking [ TEXT ] farm : Farm_ID [ INT ] primary_key Year [ INT ] Total_Horses [ INT ] Working_Horses [ INT ] Total_Cattle [ INT ] Oxen [ INT ] Bulls [ INT ] Cows [ INT...
SELECT Official_Name FROM city ORDER BY Population DESC;
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[INST] Here is a database schema: city : City_ID [ INT ] primary_key Official_Name [ TEXT ] Status [ TEXT ] Area_km_2 [ INT ] Population [ INT ] Census_Ranking [ TEXT ] farm : Farm_ID [ INT ] primary_key Year [ INT ] Total_Horses [ INT ] Working_Horses [ INT ] Total_Cattle [ INT ] Oxen [ INT ] Bulls [ INT ] Cows [ INT...
SELECT Official_Name , Status FROM city ORDER BY Population DESC LIMIT 1;
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[INST] Here is a database schema: city : City_ID [ INT ] primary_key Official_Name [ TEXT ] Status [ TEXT ] Area_km_2 [ INT ] Population [ INT ] Census_Ranking [ TEXT ] farm : Farm_ID [ INT ] primary_key Year [ INT ] Total_Horses [ INT ] Working_Horses [ INT ] Total_Cattle [ INT ] Oxen [ INT ] Bulls [ INT ] Cows [ INT...
SELECT Official_Name , Status FROM city ORDER BY Population DESC LIMIT 1;
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
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[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[INST] Here is a database schema: city : City_ID [ INT ] primary_key Official_Name [ TEXT ] Status [ TEXT ] Area_km_2 [ INT ] Population [ INT ] Census_Ranking [ TEXT ] farm : Farm_ID [ INT ] primary_key Year [ INT ] Total_Horses [ INT ] Working_Horses [ INT ] Total_Cattle [ INT ] Oxen [ INT ] Bulls [ INT ] Cows [ INT...
SELECT T2.Year , T1.Official_Name FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID;
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
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[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[INST] Here is a database schema: city : City_ID [ INT ] primary_key Official_Name [ TEXT ] Status [ TEXT ] Area_km_2 [ INT ] Population [ INT ] Census_Ranking [ TEXT ] farm : Farm_ID [ INT ] primary_key Year [ INT ] Total_Horses [ INT ] Working_Horses [ INT ] Total_Cattle [ INT ] Oxen [ INT ] Bulls [ INT ] Cows [ INT...
SELECT T2.Year , T1.Official_Name FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID;
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
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[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[INST] Here is a database schema: city : City_ID [ INT ] primary_key Official_Name [ TEXT ] Status [ TEXT ] Area_km_2 [ INT ] Population [ INT ] Census_Ranking [ TEXT ] farm : Farm_ID [ INT ] primary_key Year [ INT ] Total_Horses [ INT ] Working_Horses [ INT ] Total_Cattle [ INT ] Oxen [ INT ] Bulls [ INT ] Cows [ INT...
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;
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[INST] Here is a database schema: city : City_ID [ INT ] primary_key Official_Name [ TEXT ] Status [ TEXT ] Area_km_2 [ INT ] Population [ INT ] Census_Ranking [ TEXT ] farm : Farm_ID [ INT ] primary_key Year [ INT ] Total_Horses [ INT ] Working_Horses [ INT ] Total_Cattle [ INT ] Oxen [ INT ] Bulls [ INT ] Cows [ INT...
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;
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[INST] Here is a database schema: city : City_ID [ INT ] primary_key Official_Name [ TEXT ] Status [ TEXT ] Area_km_2 [ INT ] Population [ INT ] Census_Ranking [ TEXT ] farm : Farm_ID [ INT ] primary_key Year [ INT ] Total_Horses [ INT ] Working_Horses [ INT ] Total_Cattle [ INT ] Oxen [ INT ] Bulls [ INT ] Cows [ INT...
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;
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[INST] Here is a database schema: city : City_ID [ INT ] primary_key Official_Name [ TEXT ] Status [ TEXT ] Area_km_2 [ INT ] Population [ INT ] Census_Ranking [ TEXT ] farm : Farm_ID [ INT ] primary_key Year [ INT ] Total_Horses [ INT ] Working_Horses [ INT ] Total_Cattle [ INT ] Oxen [ INT ] Bulls [ INT ] Cows [ INT...
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;
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[INST] Here is a database schema: city : City_ID [ INT ] primary_key Official_Name [ TEXT ] Status [ TEXT ] Area_km_2 [ INT ] Population [ INT ] Census_Ranking [ TEXT ] farm : Farm_ID [ INT ] primary_key Year [ INT ] Total_Horses [ INT ] Working_Horses [ INT ] Total_Cattle [ INT ] Oxen [ INT ] Bulls [ INT ] Cows [ INT...
SELECT T2.Theme FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID WHERE T1.Population > 1000;
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[INST] Here is a database schema: city : City_ID [ INT ] primary_key Official_Name [ TEXT ] Status [ TEXT ] Area_km_2 [ INT ] Population [ INT ] Census_Ranking [ TEXT ] farm : Farm_ID [ INT ] primary_key Year [ INT ] Total_Horses [ INT ] Working_Horses [ INT ] Total_Cattle [ INT ] Oxen [ INT ] Bulls [ INT ] Cows [ INT...
SELECT T2.Theme FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID WHERE T1.Population > 1000;
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[INST] Here is a database schema: city : City_ID [ INT ] primary_key Official_Name [ TEXT ] Status [ TEXT ] Area_km_2 [ INT ] Population [ INT ] Census_Ranking [ TEXT ] farm : Farm_ID [ INT ] primary_key Year [ INT ] Total_Horses [ INT ] Working_Horses [ INT ] Total_Cattle [ INT ] Oxen [ INT ] Bulls [ INT ] Cows [ INT...
SELECT Status , avg(Population) FROM city GROUP BY Status;
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 1, 518, 25580, 29962, 2266, 338, 263, 2566, 10938, 29901, 13, 12690, 584, 13, 16885, 29918, 1367, 518, 19578, 4514, 7601, 29918, 1989, 13, 29949, 7880, 29918, 1170, 518, 323, 12194, 4514, 13, 5709, 518, 323, 12194, 4514, 13, 13799, 2991...
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