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[
{
"query": "SELECT count(*) FROM head WHERE age > 56",
"question": "How many heads of the departments are older than 56 ?",
"db_id": "department_management",
"db_path": "./data\\downloads\\extracted\\323647ed3d8dd114ddf0733fdee3a02fbef29e7fca19c84e240aadf94634bc7e/spider/database",
"db_table_names": [
"department",
"head",
"management"
],
"db_column_names": {
"table_id": [
-1,
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1,
2,
2,
2
],
"column_name": [
"*",
"Department_ID",
"Name",
"Creation",
"Ranking",
"Budget_in_Billions",
"Num_Employees",
"head_ID",
"name",
"born_state",
"age",
"department_ID",
"head_ID",
"temporary_acting"
]
},
"db_column_types": [
"text",
"number",
"text",
"text",
"number",
"number",
"number",
"number",
"text",
"text",
"number",
"number",
"number",
"text"
],
"db_primary_keys": {
"column_id": [
1,
7,
11
]
},
"db_foreign_keys": {
"column_id": [
12,
11
],
"other_column_id": [
7,
1
]
},
"serialized_schema": " | department_management | department : department_id , name , creation , ranking , budget_in_billions , num_employees | head : head_id , name , born_state , age | management : department_id , head_id , temporary_acting",
"struct_in": "| department_management | department : department_id , name , creation , ranking , budget_in_billions , num_employees | head : head_id , name , born_state , age | management : department_id , head_id , temporary_acting",
"text_in": "How many heads of the departments are older than 56 ?",
"seq_out": "select count(*) from head where age > 56"
},
{
"query": "SELECT name , born_state , age FROM head ORDER BY age",
"question": "List the name, born state and age of the heads of departments ordered by age.",
"db_id": "department_management",
"db_path": "./data\\downloads\\extracted\\323647ed3d8dd114ddf0733fdee3a02fbef29e7fca19c84e240aadf94634bc7e/spider/database",
"db_table_names": [
"department",
"head",
"management"
],
"db_column_names": {
"table_id": [
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2
],
"column_name": [
"*",
"Department_ID",
"Name",
"Creation",
"Ranking",
"Budget_in_Billions",
"Num_Employees",
"head_ID",
"name",
"born_state",
"age",
"department_ID",
"head_ID",
"temporary_acting"
]
},
"db_column_types": [
"text",
"number",
"text",
"text",
"number",
"number",
"number",
"number",
"text",
"text",
"number",
"number",
"number",
"text"
],
"db_primary_keys": {
"column_id": [
1,
7,
11
]
},
"db_foreign_keys": {
"column_id": [
12,
11
],
"other_column_id": [
7,
1
]
},
"serialized_schema": " | department_management | department : department_id , name ( State ) , creation , ranking , budget_in_billions , num_employees | head : head_id , name , born_state , age | management : department_id , head_id , temporary_acting",
"struct_in": "| department_management | department : department_id , name ( State ) , creation , ranking , budget_in_billions , num_employees | head : head_id , name , born_state , age | management : department_id , head_id , temporary_acting",
"text_in": "List the name, born state and age of the heads of departments ordered by age.",
"seq_out": "select name, born_state, age from head order by age"
},
{
"query": "SELECT creation , name , budget_in_billions FROM department",
"question": "List the creation year, name and budget of each department.",
"db_id": "department_management",
"db_path": "./data\\downloads\\extracted\\323647ed3d8dd114ddf0733fdee3a02fbef29e7fca19c84e240aadf94634bc7e/spider/database",
"db_table_names": [
"department",
"head",
"management"
],
"db_column_names": {
"table_id": [
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0,
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0,
0,
0,
0,
1,
1,
1,
1,
2,
2,
2
],
"column_name": [
"*",
"Department_ID",
"Name",
"Creation",
"Ranking",
"Budget_in_Billions",
"Num_Employees",
"head_ID",
"name",
"born_state",
"age",
"department_ID",
"head_ID",
"temporary_acting"
]
},
"db_column_types": [
"text",
"number",
"text",
"text",
"number",
"number",
"number",
"number",
"text",
"text",
"number",
"number",
"number",
"text"
],
"db_primary_keys": {
"column_id": [
1,
7,
11
]
},
"db_foreign_keys": {
"column_id": [
12,
11
],
"other_column_id": [
7,
1
]
},
"serialized_schema": " | department_management | department : department_id , name , creation , ranking , budget_in_billions , num_employees | head : head_id , name , born_state , age | management : department_id , head_id , temporary_acting",
"struct_in": "| department_management | department : department_id , name , creation , ranking , budget_in_billions , num_employees | head : head_id , name , born_state , age | management : department_id , head_id , temporary_acting",
"text_in": "List the creation year, name and budget of each department.",
"seq_out": "select creation, name, budget_in_billions from department"
},
{
"query": "SELECT max(budget_in_billions) , min(budget_in_billions) FROM department",
"question": "What are the maximum and minimum budget of the departments?",
"db_id": "department_management",
"db_path": "./data\\downloads\\extracted\\323647ed3d8dd114ddf0733fdee3a02fbef29e7fca19c84e240aadf94634bc7e/spider/database",
"db_table_names": [
"department",
"head",
"management"
],
"db_column_names": {
"table_id": [
-1,
0,
0,
0,
0,
0,
0,
1,
1,
1,
1,
2,
2,
2
],
"column_name": [
"*",
"Department_ID",
"Name",
"Creation",
"Ranking",
"Budget_in_Billions",
"Num_Employees",
"head_ID",
"name",
"born_state",
"age",
"department_ID",
"head_ID",
"temporary_acting"
]
},
"db_column_types": [
"text",
"number",
"text",
"text",
"number",
"number",
"number",
"number",
"text",
"text",
"number",
"number",
"number",
"text"
],
"db_primary_keys": {
"column_id": [
1,
7,
11
]
},
"db_foreign_keys": {
"column_id": [
12,
11
],
"other_column_id": [
7,
1
]
},
"serialized_schema": " | department_management | department : department_id , name , creation , ranking , budget_in_billions , num_employees | head : head_id , name , born_state , age | management : department_id , head_id , temporary_acting",
"struct_in": "| department_management | department : department_id , name , creation , ranking , budget_in_billions , num_employees | head : head_id , name , born_state , age | management : department_id , head_id , temporary_acting",
"text_in": "What are the maximum and minimum budget of the departments?",
"seq_out": "select max(budget_in_billions), min(budget_in_billions) from department"
},
{
"query": "SELECT avg(num_employees) FROM department WHERE ranking BETWEEN 10 AND 15",
"question": "What is the average number of employees of the departments whose rank is between 10 and 15?",
"db_id": "department_management",
"db_path": "./data\\downloads\\extracted\\323647ed3d8dd114ddf0733fdee3a02fbef29e7fca19c84e240aadf94634bc7e/spider/database",
"db_table_names": [
"department",
"head",
"management"
],
"db_column_names": {
"table_id": [
-1,
0,
0,
0,
0,
0,
0,
1,
1,
1,
1,
2,
2,
2
],
"column_name": [
"*",
"Department_ID",
"Name",
"Creation",
"Ranking",
"Budget_in_Billions",
"Num_Employees",
"head_ID",
"name",
"born_state",
"age",
"department_ID",
"head_ID",
"temporary_acting"
]
},
"db_column_types": [
"text",
"number",
"text",
"text",
"number",
"number",
"number",
"number",
"text",
"text",
"number",
"number",
"number",
"text"
],
"db_primary_keys": {
"column_id": [
1,
7,
11
]
},
"db_foreign_keys": {
"column_id": [
12,
11
],
"other_column_id": [
7,
1
]
},
"serialized_schema": " | department_management | department : department_id , name , creation , ranking , budget_in_billions , num_employees | head : head_id , name , born_state , age | management : department_id , head_id , temporary_acting",
"struct_in": "| department_management | department : department_id , name , creation , ranking , budget_in_billions , num_employees | head : head_id , name , born_state , age | management : department_id , head_id , temporary_acting",
"text_in": "What is the average number of employees of the departments whose rank is between 10 and 15?",
"seq_out": "select avg(num_employees) from department where ranking between 10 and 15"
}
]