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14,232
|
student_club
|
bird:dev.json:1365
|
What are the expenses of the budget with the lowest remaining?
|
SELECT T2.expense_description FROM budget AS T1 INNER JOIN expense AS T2 ON T1.budget_id = T2.link_to_budget ORDER BY T1.remaining LIMIT 1
|
[
"What",
"are",
"the",
"expenses",
"of",
"the",
"budget",
"with",
"the",
"lowest",
"remaining",
"?"
] |
[
{
"id": 0,
"type": "column",
"value": "expense_description"
},
{
"id": 5,
"type": "column",
"value": "link_to_budget"
},
{
"id": 3,
"type": "column",
"value": "remaining"
},
{
"id": 4,
"type": "column",
"value": "budget_id"
},
{
"id": 2,
"type": "table",
"value": "expense"
},
{
"id": 1,
"type": "table",
"value": "budget"
}
] |
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"O",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-COLUMN",
"O"
] |
14,233
|
talkingdata
|
bird:train.json:1125
|
Give the number of "game-Fishing" apps.
|
SELECT COUNT(T2.app_id) FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T1.category = 'game-Fishing'
|
[
"Give",
"the",
"number",
"of",
"\"",
"game",
"-",
"Fishing",
"\"",
"apps",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "label_categories"
},
{
"id": 3,
"type": "value",
"value": "game-Fishing"
},
{
"id": 1,
"type": "table",
"value": "app_labels"
},
{
"id": 2,
"type": "column",
"value": "category"
},
{
"id": 5,
"type": "column",
"value": "label_id"
},
{
"id": 4,
"type": "column",
"value": "app_id"
}
] |
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"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"O",
"B-COLUMN",
"O"
] |
14,234
|
driving_school
|
spider:train_spider.json:6663
|
What are the phone numbers and email addresses of all customers who have an outstanding balance of more than 2000?
|
SELECT phone_number , email_address FROM Customers WHERE amount_outstanding > 2000;
|
[
"What",
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"and",
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"who",
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"an",
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"balance",
"of",
"more",
"than",
"2000",
"?"
] |
[
{
"id": 3,
"type": "column",
"value": "amount_outstanding"
},
{
"id": 2,
"type": "column",
"value": "email_address"
},
{
"id": 1,
"type": "column",
"value": "phone_number"
},
{
"id": 0,
"type": "table",
"value": "customers"
},
{
"id": 4,
"type": "value",
"value": "2000"
}
] |
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{
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{
"entity_id": 19,
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}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"O",
"B-VALUE",
"O"
] |
14,235
|
planet_1
|
bird:test.json:1898
|
What are the ids of all shipments on the planet Mars that are managed by Turanga Leela?
|
SELECT T1.ShipmentID FROM Shipment AS T1 JOIN Planet AS T2 ON T1.Planet = T2.PlanetID JOIN Employee AS T3 ON T3.EmployeeID = T1.Manager WHERE T2.Name = "Mars" AND T3.Name = "Turanga Leela";
|
[
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"of",
"all",
"shipments",
"on",
"the",
"planet",
"Mars",
"that",
"are",
"managed",
"by",
"Turanga",
"Leela",
"?"
] |
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{
"id": 8,
"type": "column",
"value": "Turanga Leela"
},
{
"id": 0,
"type": "column",
"value": "shipmentid"
},
{
"id": 4,
"type": "column",
"value": "employeeid"
},
{
"id": 1,
"type": "table",
"value": "employee"
},
{
"id": 2,
"type": "table",
"value": "shipment"
},
{
"id": 10,
"type": "column",
"value": "planetid"
},
{
"id": 5,
"type": "column",
"value": "manager"
},
{
"id": 3,
"type": "table",
"value": "planet"
},
{
"id": 9,
"type": "column",
"value": "planet"
},
{
"id": 6,
"type": "column",
"value": "name"
},
{
"id": 7,
"type": "column",
"value": "Mars"
}
] |
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] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"I-COLUMN",
"O"
] |
14,236
|
store_1
|
spider:train_spider.json:581
|
What country does Roberto Almeida live?
|
SELECT country FROM customers WHERE first_name = "Roberto" AND last_name = "Almeida";
|
[
"What",
"country",
"does",
"Roberto",
"Almeida",
"live",
"?"
] |
[
{
"id": 2,
"type": "column",
"value": "first_name"
},
{
"id": 0,
"type": "table",
"value": "customers"
},
{
"id": 4,
"type": "column",
"value": "last_name"
},
{
"id": 1,
"type": "column",
"value": "country"
},
{
"id": 3,
"type": "column",
"value": "Roberto"
},
{
"id": 5,
"type": "column",
"value": "Almeida"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
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"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"B-COLUMN",
"O",
"O"
] |
14,237
|
simpson_episodes
|
bird:train.json:4358
|
List the episode ID and title of episode where casting was credited to Bonita Pietila.
|
SELECT T1.episode_id, T1.title FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T2.credited = 'true' AND T2.person = 'Bonita Pietila' AND T2.role = 'casting';
|
[
"List",
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"ID",
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"title",
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"episode",
"where",
"casting",
"was",
"credited",
"to",
"Bonita",
"Pietila",
"."
] |
[
{
"id": 7,
"type": "value",
"value": "Bonita Pietila"
},
{
"id": 0,
"type": "column",
"value": "episode_id"
},
{
"id": 4,
"type": "column",
"value": "credited"
},
{
"id": 2,
"type": "table",
"value": "episode"
},
{
"id": 9,
"type": "value",
"value": "casting"
},
{
"id": 3,
"type": "table",
"value": "credit"
},
{
"id": 6,
"type": "column",
"value": "person"
},
{
"id": 1,
"type": "column",
"value": "title"
},
{
"id": 5,
"type": "value",
"value": "true"
},
{
"id": 8,
"type": "column",
"value": "role"
}
] |
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{
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},
{
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}
] |
[
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-VALUE",
"O",
"B-TABLE",
"O",
"B-VALUE",
"I-VALUE",
"O"
] |
14,238
|
assets_maintenance
|
spider:train_spider.json:3152
|
Which company started the earliest the maintenance contract? Show the company name.
|
SELECT T1.company_name FROM Third_Party_Companies AS T1 JOIN Maintenance_Contracts AS T2 ON T1.company_id = T2.maintenance_contract_company_id ORDER BY T2.contract_start_date ASC LIMIT 1
|
[
"Which",
"company",
"started",
"the",
"earliest",
"the",
"maintenance",
"contract",
"?",
"Show",
"the",
"company",
"name",
"."
] |
[
{
"id": 5,
"type": "column",
"value": "maintenance_contract_company_id"
},
{
"id": 1,
"type": "table",
"value": "third_party_companies"
},
{
"id": 2,
"type": "table",
"value": "maintenance_contracts"
},
{
"id": 3,
"type": "column",
"value": "contract_start_date"
},
{
"id": 0,
"type": "column",
"value": "company_name"
},
{
"id": 4,
"type": "column",
"value": "company_id"
}
] |
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"token_idxs": []
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"entity_id": 16,
"token_idxs": []
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"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
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{
"entity_id": 19,
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}
] |
[
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O"
] |
14,239
|
activity_1
|
spider:train_spider.json:6765
|
What activities do we have?
|
SELECT activity_name FROM Activity
|
[
"What",
"activities",
"do",
"we",
"have",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "activity_name"
},
{
"id": 0,
"type": "table",
"value": "activity"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
1
]
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{
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},
{
"entity_id": 2,
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},
{
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{
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{
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{
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"token_idxs": []
},
{
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},
{
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{
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{
"entity_id": 10,
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},
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},
{
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"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-TABLE",
"O",
"O",
"O",
"O"
] |
14,240
|
advertising_agencies
|
bird:test.json:2133
|
Show the staff id and the number of meetings attended by the staff who attended some meeting but had the lowest attendance.
|
SELECT staff_id , count(*) FROM Staff_in_meetings GROUP BY staff_id ORDER BY count(*) ASC LIMIT 1;
|
[
"Show",
"the",
"staff",
"i",
"d",
"and",
"the",
"number",
"of",
"meetings",
"attended",
"by",
"the",
"staff",
"who",
"attended",
"some",
"meeting",
"but",
"had",
"the",
"lowest",
"attendance",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "staff_in_meetings"
},
{
"id": 1,
"type": "column",
"value": "staff_id"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
8,
9
]
},
{
"entity_id": 1,
"token_idxs": [
2,
3,
4
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"B-TABLE",
"I-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
14,241
|
works_cycles
|
bird:train.json:7421
|
Please list the credit card numbers of all the employees who have left the Finance Department.
|
SELECT T3.CardNumber FROM EmployeeDepartmentHistory AS T1 INNER JOIN Department AS T2 ON T1.DepartmentID = T2.DepartmentID INNER JOIN CreditCard AS T3 ON T1.ModifiedDate = T3.ModifiedDate INNER JOIN PersonCreditCard AS T4 ON T3.CreditCardID = T4.CreditCardID WHERE T2.Name = 'Finance' AND T1.EndDate IS NOT NULL
|
[
"Please",
"list",
"the",
"credit",
"card",
"numbers",
"of",
"all",
"the",
"employees",
"who",
"have",
"left",
"the",
"Finance",
"Department",
"."
] |
[
{
"id": 7,
"type": "table",
"value": "employeedepartmenthistory"
},
{
"id": 1,
"type": "table",
"value": "personcreditcard"
},
{
"id": 3,
"type": "column",
"value": "creditcardid"
},
{
"id": 9,
"type": "column",
"value": "modifieddate"
},
{
"id": 10,
"type": "column",
"value": "departmentid"
},
{
"id": 0,
"type": "column",
"value": "cardnumber"
},
{
"id": 2,
"type": "table",
"value": "creditcard"
},
{
"id": 8,
"type": "table",
"value": "department"
},
{
"id": 5,
"type": "value",
"value": "Finance"
},
{
"id": 6,
"type": "column",
"value": "enddate"
},
{
"id": 4,
"type": "column",
"value": "name"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
5
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
3,
4
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
14
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": [
15
]
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-TABLE",
"I-TABLE",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"B-TABLE",
"O"
] |
14,243
|
wine_1
|
spider:train_spider.json:6522
|
What are the names of all wines produced in 2008?
|
SELECT Name FROM WINE WHERE YEAR = "2008"
|
[
"What",
"are",
"the",
"names",
"of",
"all",
"wines",
"produced",
"in",
"2008",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "wine"
},
{
"id": 1,
"type": "column",
"value": "name"
},
{
"id": 2,
"type": "column",
"value": "year"
},
{
"id": 3,
"type": "column",
"value": "2008"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
6
]
},
{
"entity_id": 1,
"token_idxs": [
3
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
9
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"O"
] |
14,244
|
movie_3
|
bird:train.json:9160
|
How many addresses are there in Woodridge city?
|
SELECT COUNT(T1.address_id) FROM address AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id WHERE T2.city = 'Woodridge'
|
[
"How",
"many",
"addresses",
"are",
"there",
"in",
"Woodridge",
"city",
"?"
] |
[
{
"id": 4,
"type": "column",
"value": "address_id"
},
{
"id": 3,
"type": "value",
"value": "Woodridge"
},
{
"id": 0,
"type": "table",
"value": "address"
},
{
"id": 5,
"type": "column",
"value": "city_id"
},
{
"id": 1,
"type": "table",
"value": "city"
},
{
"id": 2,
"type": "column",
"value": "city"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
7
]
},
{
"entity_id": 3,
"token_idxs": [
6
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-VALUE",
"B-COLUMN",
"O"
] |
14,245
|
hockey
|
bird:train.json:7622
|
List all goalies from year 2000 to 2010 for team COL. State their given name, height, weight and age of today.
|
SELECT T1.nameGiven, T1.height , T1.weight, STRFTIME('%Y', CURRENT_TIMESTAMP) - birthYear FROM Master AS T1 INNER JOIN Goalies AS T2 ON T1.playerID = T2.playerID WHERE T2.tmID = 'COL' AND T2.year >= 2000 AND T2.year <= 2010 GROUP BY T1.playerID
|
[
"List",
"all",
"goalies",
"from",
"year",
"2000",
"to",
"2010",
"for",
"team",
"COL",
".",
"State",
"their",
"given",
"name",
",",
"height",
",",
"weight",
"and",
"age",
"of",
"today",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "namegiven"
},
{
"id": 6,
"type": "column",
"value": "birthyear"
},
{
"id": 0,
"type": "column",
"value": "playerid"
},
{
"id": 5,
"type": "table",
"value": "goalies"
},
{
"id": 2,
"type": "column",
"value": "height"
},
{
"id": 3,
"type": "column",
"value": "weight"
},
{
"id": 4,
"type": "table",
"value": "master"
},
{
"id": 7,
"type": "column",
"value": "tmid"
},
{
"id": 9,
"type": "column",
"value": "year"
},
{
"id": 10,
"type": "value",
"value": "2000"
},
{
"id": 11,
"type": "value",
"value": "2010"
},
{
"id": 8,
"type": "value",
"value": "COL"
},
{
"id": 12,
"type": "value",
"value": "%Y"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
14
]
},
{
"entity_id": 2,
"token_idxs": [
17
]
},
{
"entity_id": 3,
"token_idxs": [
19
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
2
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": [
10
]
},
{
"entity_id": 9,
"token_idxs": [
4
]
},
{
"entity_id": 10,
"token_idxs": [
5
]
},
{
"entity_id": 11,
"token_idxs": [
7
]
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"B-VALUE",
"O",
"B-VALUE",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O"
] |
14,246
|
computer_student
|
bird:train.json:987
|
Please list the IDs of the teachers who have advised more than 4 others to teach.
|
SELECT p_id_dummy FROM advisedBy GROUP BY p_id_dummy HAVING COUNT(p_id_dummy) > 4
|
[
"Please",
"list",
"the",
"IDs",
"of",
"the",
"teachers",
"who",
"have",
"advised",
"more",
"than",
"4",
"others",
"to",
"teach",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "p_id_dummy"
},
{
"id": 0,
"type": "table",
"value": "advisedby"
},
{
"id": 2,
"type": "value",
"value": "4"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
9
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
12
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"O"
] |
14,247
|
device
|
spider:train_spider.json:5052
|
List the carriers of devices in ascending alphabetical order.
|
SELECT Carrier FROM device ORDER BY Carrier ASC
|
[
"List",
"the",
"carriers",
"of",
"devices",
"in",
"ascending",
"alphabetical",
"order",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "carrier"
},
{
"id": 0,
"type": "table",
"value": "device"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
"token_idxs": [
2
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O"
] |
14,248
|
professional_basketball
|
bird:train.json:2852
|
From 1950 to 1970, what is the maximum point of players whose teams were ranked 1?
|
SELECT MAX(T2.points) FROM teams AS T1 INNER JOIN players_teams AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year WHERE T1.year BETWEEN 1950 AND 1970 AND T1.rank = 1
|
[
"From",
"1950",
"to",
"1970",
",",
"what",
"is",
"the",
"maximum",
"point",
"of",
"players",
"whose",
"teams",
"were",
"ranked",
"1",
"?"
] |
[
{
"id": 1,
"type": "table",
"value": "players_teams"
},
{
"id": 2,
"type": "column",
"value": "points"
},
{
"id": 0,
"type": "table",
"value": "teams"
},
{
"id": 3,
"type": "column",
"value": "year"
},
{
"id": 4,
"type": "value",
"value": "1950"
},
{
"id": 5,
"type": "value",
"value": "1970"
},
{
"id": 6,
"type": "column",
"value": "rank"
},
{
"id": 8,
"type": "column",
"value": "tmid"
},
{
"id": 7,
"type": "value",
"value": "1"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
13
]
},
{
"entity_id": 1,
"token_idxs": [
11,
12
]
},
{
"entity_id": 2,
"token_idxs": [
9
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
1
]
},
{
"entity_id": 5,
"token_idxs": [
3
]
},
{
"entity_id": 6,
"token_idxs": [
15
]
},
{
"entity_id": 7,
"token_idxs": [
16
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-VALUE",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"I-TABLE",
"B-TABLE",
"O",
"B-COLUMN",
"B-VALUE",
"O"
] |
14,249
|
customers_card_transactions
|
spider:train_spider.json:733
|
Show all transaction types.
|
SELECT DISTINCT transaction_type FROM Financial_Transactions
|
[
"Show",
"all",
"transaction",
"types",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "financial_transactions"
},
{
"id": 1,
"type": "column",
"value": "transaction_type"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
1
]
},
{
"entity_id": 1,
"token_idxs": [
2,
3
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-TABLE",
"B-COLUMN",
"I-COLUMN",
"O"
] |
14,250
|
food_inspection
|
bird:train.json:8853
|
Among the violations in 2016, how many of them have unscheduled inspections?
|
SELECT COUNT(T2.business_id) FROM violations AS T1 INNER JOIN inspections AS T2 ON T1.business_id = T2.business_id WHERE STRFTIME('%Y', T1.`date`) = '2016' AND T2.type = 'Routine - Unscheduled'
|
[
"Among",
"the",
"violations",
"in",
"2016",
",",
"how",
"many",
"of",
"them",
"have",
"unscheduled",
"inspections",
"?"
] |
[
{
"id": 5,
"type": "value",
"value": "Routine - Unscheduled"
},
{
"id": 1,
"type": "table",
"value": "inspections"
},
{
"id": 2,
"type": "column",
"value": "business_id"
},
{
"id": 0,
"type": "table",
"value": "violations"
},
{
"id": 3,
"type": "value",
"value": "2016"
},
{
"id": 4,
"type": "column",
"value": "type"
},
{
"id": 7,
"type": "column",
"value": "date"
},
{
"id": 6,
"type": "value",
"value": "%Y"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": [
12
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
4
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
8,
9,
10,
11
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"B-VALUE",
"O",
"O",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"B-TABLE",
"O"
] |
14,251
|
tracking_software_problems
|
spider:train_spider.json:5374
|
What are the ids of the problems which are reported before 1978-06-26?
|
SELECT problem_id FROM problems WHERE date_problem_reported < "1978-06-26"
|
[
"What",
"are",
"the",
"ids",
"of",
"the",
"problems",
"which",
"are",
"reported",
"before",
"1978",
"-",
"06",
"-",
"26",
"?"
] |
[
{
"id": 2,
"type": "column",
"value": "date_problem_reported"
},
{
"id": 1,
"type": "column",
"value": "problem_id"
},
{
"id": 3,
"type": "column",
"value": "1978-06-26"
},
{
"id": 0,
"type": "table",
"value": "problems"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
6
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
8,
9
]
},
{
"entity_id": 3,
"token_idxs": [
11,
12,
13,
14,
15
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O"
] |
14,252
|
student_1
|
spider:train_spider.json:4034
|
What are the first names of students studying in room 107?
|
SELECT DISTINCT firstname FROM list WHERE classroom = 107
|
[
"What",
"are",
"the",
"first",
"names",
"of",
"students",
"studying",
"in",
"room",
"107",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "firstname"
},
{
"id": 2,
"type": "column",
"value": "classroom"
},
{
"id": 0,
"type": "table",
"value": "list"
},
{
"id": 3,
"type": "value",
"value": "107"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": [
4
]
},
{
"entity_id": 2,
"token_idxs": [
9
]
},
{
"entity_id": 3,
"token_idxs": [
10
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"O",
"O",
"O",
"B-COLUMN",
"B-VALUE",
"O"
] |
14,253
|
game_1
|
spider:train_spider.json:6052
|
What are the first names and ages of all students who are playing both Football and Lacrosse?
|
SELECT fname , age FROM Student WHERE StuID IN (SELECT StuID FROM Sportsinfo WHERE SportName = "Football" INTERSECT SELECT StuID FROM Sportsinfo WHERE SportName = "Lacrosse")
|
[
"What",
"are",
"the",
"first",
"names",
"and",
"ages",
"of",
"all",
"students",
"who",
"are",
"playing",
"both",
"Football",
"and",
"Lacrosse",
"?"
] |
[
{
"id": 4,
"type": "table",
"value": "sportsinfo"
},
{
"id": 5,
"type": "column",
"value": "sportname"
},
{
"id": 6,
"type": "column",
"value": "Football"
},
{
"id": 7,
"type": "column",
"value": "Lacrosse"
},
{
"id": 0,
"type": "table",
"value": "student"
},
{
"id": 1,
"type": "column",
"value": "fname"
},
{
"id": 3,
"type": "column",
"value": "stuid"
},
{
"id": 2,
"type": "column",
"value": "age"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
4
]
},
{
"entity_id": 2,
"token_idxs": [
6
]
},
{
"entity_id": 3,
"token_idxs": [
9
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
3
]
},
{
"entity_id": 6,
"token_idxs": [
14
]
},
{
"entity_id": 7,
"token_idxs": [
16
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"O"
] |
14,254
|
driving_school
|
spider:train_spider.json:6671
|
How many customers are there?
|
SELECT count(*) FROM Customers;
|
[
"How",
"many",
"customers",
"are",
"there",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "customers"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"O",
"O"
] |
14,255
|
cre_Theme_park
|
spider:train_spider.json:5904
|
Find all the locations whose names contain the word "film".
|
SELECT Location_Name FROM LOCATIONS WHERE Location_Name LIKE "%film%"
|
[
"Find",
"all",
"the",
"locations",
"whose",
"names",
"contain",
"the",
"word",
"\"",
"film",
"\"",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "location_name"
},
{
"id": 0,
"type": "table",
"value": "locations"
},
{
"id": 2,
"type": "column",
"value": "%film%"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
10
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O"
] |
14,256
|
toxicology
|
bird:dev.json:226
|
What is the percentage of double bonds in the molecule TR008? Please provide your answer as a percentage with five decimal places.
|
SELECT ROUND(CAST(COUNT(CASE WHEN T.bond_type = '=' THEN T.bond_id ELSE NULL END) AS REAL) * 100 / COUNT(T.bond_id),5) FROM bond AS T WHERE T.molecule_id = 'TR008'
|
[
"What",
"is",
"the",
"percentage",
"of",
"double",
"bonds",
"in",
"the",
"molecule",
"TR008",
"?",
"Please",
"provide",
"your",
"answer",
"as",
"a",
"percentage",
"with",
"five",
"decimal",
"places",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "molecule_id"
},
{
"id": 6,
"type": "column",
"value": "bond_type"
},
{
"id": 5,
"type": "column",
"value": "bond_id"
},
{
"id": 2,
"type": "value",
"value": "TR008"
},
{
"id": 0,
"type": "table",
"value": "bond"
},
{
"id": 4,
"type": "value",
"value": "100"
},
{
"id": 3,
"type": "value",
"value": "5"
},
{
"id": 7,
"type": "value",
"value": "="
}
] |
[
{
"entity_id": 0,
"token_idxs": [
6
]
},
{
"entity_id": 1,
"token_idxs": [
9
]
},
{
"entity_id": 2,
"token_idxs": [
10
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
7
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"B-COLUMN",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
14,257
|
shakespeare
|
bird:train.json:3040
|
What are the character names in paragraph 3?
|
SELECT DISTINCT T1.CharName FROM characters AS T1 INNER JOIN paragraphs AS T2 ON T1.id = T2.character_id WHERE T2.ParagraphNum = 3
|
[
"What",
"are",
"the",
"character",
"names",
"in",
"paragraph",
"3",
"?"
] |
[
{
"id": 3,
"type": "column",
"value": "paragraphnum"
},
{
"id": 6,
"type": "column",
"value": "character_id"
},
{
"id": 1,
"type": "table",
"value": "characters"
},
{
"id": 2,
"type": "table",
"value": "paragraphs"
},
{
"id": 0,
"type": "column",
"value": "charname"
},
{
"id": 5,
"type": "column",
"value": "id"
},
{
"id": 4,
"type": "value",
"value": "3"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
6
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
7
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"B-VALUE",
"O"
] |
14,258
|
device
|
spider:train_spider.json:5073
|
What is the name of the shop that has the most different kinds of devices in stock?
|
SELECT T2.Shop_Name FROM stock AS T1 JOIN shop AS T2 ON T1.Shop_ID = T2.Shop_ID GROUP BY T1.Shop_ID ORDER BY COUNT(*) DESC LIMIT 1
|
[
"What",
"is",
"the",
"name",
"of",
"the",
"shop",
"that",
"has",
"the",
"most",
"different",
"kinds",
"of",
"devices",
"in",
"stock",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "shop_name"
},
{
"id": 0,
"type": "column",
"value": "shop_id"
},
{
"id": 2,
"type": "table",
"value": "stock"
},
{
"id": 3,
"type": "table",
"value": "shop"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
16
]
},
{
"entity_id": 3,
"token_idxs": [
6
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
14,259
|
olympics
|
bird:train.json:5010
|
How many games has Prithipal Singh participated in?
|
SELECT COUNT(T2.games_id) FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id WHERE T1.full_name = 'Prithipal Singh'
|
[
"How",
"many",
"games",
"has",
"Prithipal",
"Singh",
"participated",
"in",
"?"
] |
[
{
"id": 1,
"type": "table",
"value": "games_competitor"
},
{
"id": 3,
"type": "value",
"value": "Prithipal Singh"
},
{
"id": 2,
"type": "column",
"value": "full_name"
},
{
"id": 6,
"type": "column",
"value": "person_id"
},
{
"id": 4,
"type": "column",
"value": "games_id"
},
{
"id": 0,
"type": "table",
"value": "person"
},
{
"id": 5,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
4,
5
]
},
{
"entity_id": 4,
"token_idxs": [
2
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"I-VALUE",
"O",
"O",
"O"
] |
14,260
|
boat_1
|
bird:test.json:891
|
What are the average rating and max age of all sailors?
|
SELECT AVG(rating) , MAX(age) FROM Sailors
|
[
"What",
"are",
"the",
"average",
"rating",
"and",
"max",
"age",
"of",
"all",
"sailors",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "sailors"
},
{
"id": 1,
"type": "column",
"value": "rating"
},
{
"id": 2,
"type": "column",
"value": "age"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
10
]
},
{
"entity_id": 1,
"token_idxs": [
4
]
},
{
"entity_id": 2,
"token_idxs": [
7
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O"
] |
14,261
|
donor
|
bird:train.json:3273
|
In which cities are Los Angeles County Suburban Metro Schools located?
|
SELECT school_city FROM projects WHERE school_metro = 'suburban' AND school_county = 'Los Angeles'
|
[
"In",
"which",
"cities",
"are",
"Los",
"Angeles",
"County",
"Suburban",
"Metro",
"Schools",
"located",
"?"
] |
[
{
"id": 4,
"type": "column",
"value": "school_county"
},
{
"id": 2,
"type": "column",
"value": "school_metro"
},
{
"id": 1,
"type": "column",
"value": "school_city"
},
{
"id": 5,
"type": "value",
"value": "Los Angeles"
},
{
"id": 0,
"type": "table",
"value": "projects"
},
{
"id": 3,
"type": "value",
"value": "suburban"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
9
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
7
]
},
{
"entity_id": 4,
"token_idxs": [
6
]
},
{
"entity_id": 5,
"token_idxs": [
4,
5
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-VALUE",
"I-VALUE",
"B-COLUMN",
"B-VALUE",
"O",
"B-COLUMN",
"O",
"O"
] |
14,263
|
college_completion
|
bird:train.json:3683
|
State the name and website of the institutes from the state with 209 graduate cohort in 2011.
|
SELECT T1.chronname, T1.site FROM institution_details AS T1 INNER JOIN state_sector_grads AS T2 ON T1.state = T2.state WHERE T2.year = 2011 AND T2.grad_cohort = 209
|
[
"State",
"the",
"name",
"and",
"website",
"of",
"the",
"institutes",
"from",
"the",
"state",
"with",
"209",
"graduate",
"cohort",
"in",
"2011",
"."
] |
[
{
"id": 2,
"type": "table",
"value": "institution_details"
},
{
"id": 3,
"type": "table",
"value": "state_sector_grads"
},
{
"id": 7,
"type": "column",
"value": "grad_cohort"
},
{
"id": 0,
"type": "column",
"value": "chronname"
},
{
"id": 4,
"type": "column",
"value": "state"
},
{
"id": 1,
"type": "column",
"value": "site"
},
{
"id": 5,
"type": "column",
"value": "year"
},
{
"id": 6,
"type": "value",
"value": "2011"
},
{
"id": 8,
"type": "value",
"value": "209"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": [
4
]
},
{
"entity_id": 2,
"token_idxs": [
7
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
10
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": [
16
]
},
{
"entity_id": 7,
"token_idxs": [
13,
14
]
},
{
"entity_id": 8,
"token_idxs": [
12
]
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"B-COLUMN",
"I-COLUMN",
"O",
"B-VALUE",
"O"
] |
14,264
|
retails
|
bird:train.json:6807
|
What is the difference between the number of returned items and not returned items with the full price of under 16947.7?
|
SELECT SUM(IIF(l_returnflag = 'A', 1, 0)) - SUM(IIF(l_returnflag = 'N', 1, 0)) AS diff FROM lineitem WHERE l_extendedprice < 16947.7
|
[
"What",
"is",
"the",
"difference",
"between",
"the",
"number",
"of",
"returned",
"items",
"and",
"not",
"returned",
"items",
"with",
"the",
"full",
"price",
"of",
"under",
"16947.7",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "l_extendedprice"
},
{
"id": 5,
"type": "column",
"value": "l_returnflag"
},
{
"id": 0,
"type": "table",
"value": "lineitem"
},
{
"id": 2,
"type": "value",
"value": "16947.7"
},
{
"id": 3,
"type": "value",
"value": "1"
},
{
"id": 4,
"type": "value",
"value": "0"
},
{
"id": 6,
"type": "value",
"value": "A"
},
{
"id": 7,
"type": "value",
"value": "N"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
9
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
20
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
12
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"O"
] |
14,265
|
college_2
|
spider:train_spider.json:1375
|
Given the titles of all courses, in order of titles and credits.
|
SELECT title FROM course ORDER BY title , credits
|
[
"Given",
"the",
"titles",
"of",
"all",
"courses",
",",
"in",
"order",
"of",
"titles",
"and",
"credits",
"."
] |
[
{
"id": 2,
"type": "column",
"value": "credits"
},
{
"id": 0,
"type": "table",
"value": "course"
},
{
"id": 1,
"type": "column",
"value": "title"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
5
]
},
{
"entity_id": 1,
"token_idxs": [
2
]
},
{
"entity_id": 2,
"token_idxs": [
12
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O"
] |
14,266
|
law_episode
|
bird:train.json:1316
|
What percentage of people have worked on the True North episode as additional crew?
|
SELECT CAST(SUM(CASE WHEN T2.role = 'Additional Crew' THEN 1 ELSE 0 END) AS REAL ) * 100 / COUNT(T1.episode_id) FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'True North'
|
[
"What",
"percentage",
"of",
"people",
"have",
"worked",
"on",
"the",
"True",
"North",
"episode",
"as",
"additional",
"crew",
"?"
] |
[
{
"id": 9,
"type": "value",
"value": "Additional Crew"
},
{
"id": 3,
"type": "value",
"value": "True North"
},
{
"id": 4,
"type": "column",
"value": "episode_id"
},
{
"id": 0,
"type": "table",
"value": "episode"
},
{
"id": 1,
"type": "table",
"value": "credit"
},
{
"id": 2,
"type": "column",
"value": "title"
},
{
"id": 8,
"type": "column",
"value": "role"
},
{
"id": 5,
"type": "value",
"value": "100"
},
{
"id": 6,
"type": "value",
"value": "0"
},
{
"id": 7,
"type": "value",
"value": "1"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
10
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
8,
9
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": [
3
]
},
{
"entity_id": 9,
"token_idxs": [
12,
13
]
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"B-VALUE",
"I-VALUE",
"B-TABLE",
"O",
"B-VALUE",
"I-VALUE",
"O"
] |
14,267
|
donor
|
bird:train.json:3225
|
Among the projects whose donators are teachers, what is the percentage of projects that affected more than 30 students?
|
SELECT CAST(SUM(CASE WHEN T1.students_reached > 30 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.projectid) FROM projects AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T2.is_teacher_acct = 't'
|
[
"Among",
"the",
"projects",
"whose",
"donators",
"are",
"teachers",
",",
"what",
"is",
"the",
"percentage",
"of",
"projects",
"that",
"affected",
"more",
"than",
"30",
"students",
"?"
] |
[
{
"id": 8,
"type": "column",
"value": "students_reached"
},
{
"id": 2,
"type": "column",
"value": "is_teacher_acct"
},
{
"id": 1,
"type": "table",
"value": "donations"
},
{
"id": 4,
"type": "column",
"value": "projectid"
},
{
"id": 0,
"type": "table",
"value": "projects"
},
{
"id": 5,
"type": "value",
"value": "100"
},
{
"id": 9,
"type": "value",
"value": "30"
},
{
"id": 3,
"type": "value",
"value": "t"
},
{
"id": 6,
"type": "value",
"value": "0"
},
{
"id": 7,
"type": "value",
"value": "1"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": [
4
]
},
{
"entity_id": 2,
"token_idxs": [
6,
7,
8
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
13
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": [
18
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": [
19
]
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"B-VALUE",
"B-COLUMN",
"O"
] |
14,268
|
scientist_1
|
spider:train_spider.json:6494
|
What are the names of all the scientists in alphabetical order?
|
SELECT name FROM scientists ORDER BY name
|
[
"What",
"are",
"the",
"names",
"of",
"all",
"the",
"scientists",
"in",
"alphabetical",
"order",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "scientists"
},
{
"id": 1,
"type": "column",
"value": "name"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
7
]
},
{
"entity_id": 1,
"token_idxs": [
3
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O"
] |
14,269
|
book_1
|
bird:test.json:573
|
What are sale prices of books written by Plato?
|
SELECT saleprice FROM Book AS T1 JOIN Author_book AS T2 ON T1.isbn = T2.isbn JOIN Author AS T3 ON T2.Author = T3.idAuthor WHERE T3.name = "Plato"
|
[
"What",
"are",
"sale",
"prices",
"of",
"books",
"written",
"by",
"Plato",
"?"
] |
[
{
"id": 5,
"type": "table",
"value": "author_book"
},
{
"id": 0,
"type": "column",
"value": "saleprice"
},
{
"id": 7,
"type": "column",
"value": "idauthor"
},
{
"id": 1,
"type": "table",
"value": "author"
},
{
"id": 6,
"type": "column",
"value": "author"
},
{
"id": 3,
"type": "column",
"value": "Plato"
},
{
"id": 2,
"type": "column",
"value": "name"
},
{
"id": 4,
"type": "table",
"value": "book"
},
{
"id": 8,
"type": "column",
"value": "isbn"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2,
3
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
8
]
},
{
"entity_id": 4,
"token_idxs": [
5
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"O"
] |
14,270
|
card_games
|
bird:dev.json:424
|
What proportion of cards do not have a text box with a normal layout?
|
SELECT CAST(SUM(CASE WHEN isTextless = 1 AND layout = 'normal' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM cards
|
[
"What",
"proportion",
"of",
"cards",
"do",
"not",
"have",
"a",
"text",
"box",
"with",
"a",
"normal",
"layout",
"?"
] |
[
{
"id": 4,
"type": "column",
"value": "istextless"
},
{
"id": 5,
"type": "column",
"value": "layout"
},
{
"id": 6,
"type": "value",
"value": "normal"
},
{
"id": 0,
"type": "table",
"value": "cards"
},
{
"id": 1,
"type": "value",
"value": "100"
},
{
"id": 2,
"type": "value",
"value": "0"
},
{
"id": 3,
"type": "value",
"value": "1"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
13
]
},
{
"entity_id": 6,
"token_idxs": [
12
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"B-COLUMN",
"O"
] |
14,271
|
language_corpus
|
bird:train.json:5752
|
What is the percentage of the words that have been repeated under 180 times in the Catalan language?
|
SELECT CAST(COUNT(CASE WHEN T2.occurrences < 180 THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T1.lid) FROM langs AS T1 INNER JOIN langs_words AS T2 ON T1.lid = T2.lid WHERE T1.lang = 'ca'
|
[
"What",
"is",
"the",
"percentage",
"of",
"the",
"words",
"that",
"have",
"been",
"repeated",
"under",
"180",
"times",
"in",
"the",
"Catalan",
"language",
"?"
] |
[
{
"id": 1,
"type": "table",
"value": "langs_words"
},
{
"id": 7,
"type": "column",
"value": "occurrences"
},
{
"id": 0,
"type": "table",
"value": "langs"
},
{
"id": 2,
"type": "column",
"value": "lang"
},
{
"id": 4,
"type": "column",
"value": "lid"
},
{
"id": 5,
"type": "value",
"value": "100"
},
{
"id": 8,
"type": "value",
"value": "180"
},
{
"id": 3,
"type": "value",
"value": "ca"
},
{
"id": 6,
"type": "value",
"value": "1"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
6
]
},
{
"entity_id": 2,
"token_idxs": [
17
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": [
12
]
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O"
] |
14,272
|
thrombosis_prediction
|
bird:dev.json:1189
|
What number of patients with a degree of thrombosis level 2 and ANA pattern of only S, have a level of anti-Cardiolip in antibody (IgM) 20% higher than average?
|
SELECT COUNT(*) FROM Examination WHERE Thrombosis = 2 AND `ANA Pattern` = 'S' AND `aCL IgM` > (SELECT AVG(`aCL IgM`) * 1.2 FROM Examination WHERE Thrombosis = 2 AND `ANA Pattern` = 'S')
|
[
"What",
"number",
"of",
"patients",
"with",
"a",
"degree",
"of",
"thrombosis",
"level",
"2",
"and",
"ANA",
"pattern",
"of",
"only",
"S",
",",
"have",
"a",
"level",
"of",
"anti",
"-",
"Cardiolip",
"in",
"antibody",
"(",
"IgM",
")",
"20",
"%",
"higher",
"than",
"average",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "examination"
},
{
"id": 3,
"type": "column",
"value": "ANA Pattern"
},
{
"id": 1,
"type": "column",
"value": "thrombosis"
},
{
"id": 5,
"type": "column",
"value": "aCL IgM"
},
{
"id": 6,
"type": "value",
"value": "1.2"
},
{
"id": 2,
"type": "value",
"value": "2"
},
{
"id": 4,
"type": "value",
"value": "S"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
8
]
},
{
"entity_id": 2,
"token_idxs": [
10
]
},
{
"entity_id": 3,
"token_idxs": [
12,
13
]
},
{
"entity_id": 4,
"token_idxs": [
16
]
},
{
"entity_id": 5,
"token_idxs": [
28
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
14,273
|
shop_membership
|
spider:train_spider.json:5431
|
What are the member names and hometowns of those who registered at a branch in 2016?
|
SELECT T2.name , T2.hometown FROM membership_register_branch AS T1 JOIN member AS T2 ON T1.member_id = T2.member_id WHERE T1.register_year = 2016
|
[
"What",
"are",
"the",
"member",
"names",
"and",
"hometowns",
"of",
"those",
"who",
"registered",
"at",
"a",
"branch",
"in",
"2016",
"?"
] |
[
{
"id": 2,
"type": "table",
"value": "membership_register_branch"
},
{
"id": 4,
"type": "column",
"value": "register_year"
},
{
"id": 6,
"type": "column",
"value": "member_id"
},
{
"id": 1,
"type": "column",
"value": "hometown"
},
{
"id": 3,
"type": "table",
"value": "member"
},
{
"id": 0,
"type": "column",
"value": "name"
},
{
"id": 5,
"type": "value",
"value": "2016"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
"token_idxs": [
6
]
},
{
"entity_id": 2,
"token_idxs": [
9,
11,
12,
13
]
},
{
"entity_id": 3,
"token_idxs": [
3
]
},
{
"entity_id": 4,
"token_idxs": [
10
]
},
{
"entity_id": 5,
"token_idxs": [
15
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"B-TABLE",
"I-TABLE",
"I-TABLE",
"O",
"B-VALUE",
"O"
] |
14,274
|
mental_health_survey
|
bird:train.json:4616
|
How many respondents who participated in the survey in 2019 have ever sought treatment for a mental health disorder from a mental health professional?
|
SELECT COUNT(T1.UserID) FROM Answer AS T1 INNER JOIN Question AS T2 ON T1.QuestionID = T2.questionid WHERE T1.QuestionID = 7 AND T1.SurveyID = 2019 AND T1.AnswerText = 1
|
[
"How",
"many",
"respondents",
"who",
"participated",
"in",
"the",
"survey",
"in",
"2019",
"have",
"ever",
"sought",
"treatment",
"for",
"a",
"mental",
"health",
"disorder",
"from",
"a",
"mental",
"health",
"professional",
"?"
] |
[
{
"id": 3,
"type": "column",
"value": "questionid"
},
{
"id": 7,
"type": "column",
"value": "answertext"
},
{
"id": 1,
"type": "table",
"value": "question"
},
{
"id": 5,
"type": "column",
"value": "surveyid"
},
{
"id": 0,
"type": "table",
"value": "answer"
},
{
"id": 2,
"type": "column",
"value": "userid"
},
{
"id": 6,
"type": "value",
"value": "2019"
},
{
"id": 4,
"type": "value",
"value": "7"
},
{
"id": 8,
"type": "value",
"value": "1"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
7
]
},
{
"entity_id": 6,
"token_idxs": [
9
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
14,276
|
law_episode
|
bird:train.json:1300
|
What is the title of the 3 worst rated episodes?
|
SELECT title FROM Episode ORDER BY rating LIMIT 3
|
[
"What",
"is",
"the",
"title",
"of",
"the",
"3",
"worst",
"rated",
"episodes",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "episode"
},
{
"id": 2,
"type": "column",
"value": "rating"
},
{
"id": 1,
"type": "column",
"value": "title"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
9
]
},
{
"entity_id": 1,
"token_idxs": [
3
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
14,277
|
club_1
|
spider:train_spider.json:4260
|
Who are the members of the club named "Hopkins Student Enterprises"? Show the last name.
|
SELECT t3.lname FROM club AS t1 JOIN member_of_club AS t2 ON t1.clubid = t2.clubid JOIN student AS t3 ON t2.stuid = t3.stuid WHERE t1.clubname = "Hopkins Student Enterprises"
|
[
"Who",
"are",
"the",
"members",
"of",
"the",
"club",
"named",
"\"",
"Hopkins",
"Student",
"Enterprises",
"\"",
"?",
"Show",
"the",
"last",
"name",
"."
] |
[
{
"id": 3,
"type": "column",
"value": "Hopkins Student Enterprises"
},
{
"id": 5,
"type": "table",
"value": "member_of_club"
},
{
"id": 2,
"type": "column",
"value": "clubname"
},
{
"id": 1,
"type": "table",
"value": "student"
},
{
"id": 7,
"type": "column",
"value": "clubid"
},
{
"id": 0,
"type": "column",
"value": "lname"
},
{
"id": 6,
"type": "column",
"value": "stuid"
},
{
"id": 4,
"type": "table",
"value": "club"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
17
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
7
]
},
{
"entity_id": 3,
"token_idxs": [
9,
11
]
},
{
"entity_id": 4,
"token_idxs": [
6
]
},
{
"entity_id": 5,
"token_idxs": [
3,
4,
5
]
},
{
"entity_id": 6,
"token_idxs": [
10
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-TABLE",
"I-TABLE",
"I-TABLE",
"B-TABLE",
"B-COLUMN",
"O",
"B-COLUMN",
"B-COLUMN",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O"
] |
14,278
|
institution_sports
|
bird:test.json:1649
|
What are the maximum and minimum enrollment of all institutions?
|
SELECT max(Enrollment) , min(Enrollment) FROM institution
|
[
"What",
"are",
"the",
"maximum",
"and",
"minimum",
"enrollment",
"of",
"all",
"institutions",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "institution"
},
{
"id": 1,
"type": "column",
"value": "enrollment"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
9
]
},
{
"entity_id": 1,
"token_idxs": [
6
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O"
] |
14,279
|
storm_record
|
spider:train_spider.json:2711
|
What are the names of regions that were not affected?
|
SELECT region_name FROM region WHERE region_id NOT IN (SELECT region_id FROM affected_region)
|
[
"What",
"are",
"the",
"names",
"of",
"regions",
"that",
"were",
"not",
"affected",
"?"
] |
[
{
"id": 3,
"type": "table",
"value": "affected_region"
},
{
"id": 1,
"type": "column",
"value": "region_name"
},
{
"id": 2,
"type": "column",
"value": "region_id"
},
{
"id": 0,
"type": "table",
"value": "region"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
5
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
9
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
14,280
|
card_games
|
bird:dev.json:472
|
Among the sets in the block "Ice Age", how many of them have an Italian translation?
|
SELECT COUNT(DISTINCT T1.id) FROM sets AS T1 INNER JOIN set_translations AS T2 ON T2.setCode = T1.code WHERE T1.block = 'Ice Age' AND T2.language = 'Italian' AND T2.translation IS NOT NULL
|
[
"Among",
"the",
"sets",
"in",
"the",
"block",
"\"",
"Ice",
"Age",
"\"",
",",
"how",
"many",
"of",
"them",
"have",
"an",
"Italian",
"translation",
"?"
] |
[
{
"id": 1,
"type": "table",
"value": "set_translations"
},
{
"id": 9,
"type": "column",
"value": "translation"
},
{
"id": 7,
"type": "column",
"value": "language"
},
{
"id": 3,
"type": "column",
"value": "setcode"
},
{
"id": 6,
"type": "value",
"value": "Ice Age"
},
{
"id": 8,
"type": "value",
"value": "Italian"
},
{
"id": 5,
"type": "column",
"value": "block"
},
{
"id": 0,
"type": "table",
"value": "sets"
},
{
"id": 4,
"type": "column",
"value": "code"
},
{
"id": 2,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
5
]
},
{
"entity_id": 6,
"token_idxs": [
7,
8
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": [
17
]
},
{
"entity_id": 9,
"token_idxs": [
18
]
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"I-VALUE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"B-COLUMN",
"O"
] |
14,281
|
menu
|
bird:train.json:5495
|
List the names and menu page IDs of the dishes that first appeared in 1861.
|
SELECT T2.name, T1.dish_id FROM MenuItem AS T1 INNER JOIN Dish AS T2 ON T2.id = T1.dish_id WHERE T2.first_appeared = 1861
|
[
"List",
"the",
"names",
"and",
"menu",
"page",
"IDs",
"of",
"the",
"dishes",
"that",
"first",
"appeared",
"in",
"1861",
"."
] |
[
{
"id": 4,
"type": "column",
"value": "first_appeared"
},
{
"id": 2,
"type": "table",
"value": "menuitem"
},
{
"id": 1,
"type": "column",
"value": "dish_id"
},
{
"id": 0,
"type": "column",
"value": "name"
},
{
"id": 3,
"type": "table",
"value": "dish"
},
{
"id": 5,
"type": "value",
"value": "1861"
},
{
"id": 6,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
4
]
},
{
"entity_id": 3,
"token_idxs": [
9
]
},
{
"entity_id": 4,
"token_idxs": [
11,
12
]
},
{
"entity_id": 5,
"token_idxs": [
14
]
},
{
"entity_id": 6,
"token_idxs": [
6
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"B-VALUE",
"O"
] |
14,282
|
financial
|
bird:dev.json:172
|
How many owner and disponent dispositions are there from account number 1 to account number 10?
|
SELECT SUM(type = 'OWNER') , SUM(type = 'DISPONENT') FROM disp WHERE account_id BETWEEN 1 AND 10
|
[
"How",
"many",
"owner",
"and",
"disponent",
"dispositions",
"are",
"there",
"from",
"account",
"number",
"1",
"to",
"account",
"number",
"10",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "account_id"
},
{
"id": 6,
"type": "value",
"value": "DISPONENT"
},
{
"id": 5,
"type": "value",
"value": "OWNER"
},
{
"id": 0,
"type": "table",
"value": "disp"
},
{
"id": 4,
"type": "column",
"value": "type"
},
{
"id": 3,
"type": "value",
"value": "10"
},
{
"id": 2,
"type": "value",
"value": "1"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
"token_idxs": [
13
]
},
{
"entity_id": 2,
"token_idxs": [
11
]
},
{
"entity_id": 3,
"token_idxs": [
15
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
2
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-VALUE",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"O"
] |
14,283
|
soccer_2016
|
bird:train.json:1798
|
What is the bowling skill used by most players?
|
SELECT T1.Bowling_Skill FROM Bowling_Style AS T1 INNER JOIN Player AS T2 ON T2.Bowling_skill = T1.Bowling_Id GROUP BY T1.Bowling_Skill ORDER BY COUNT(T1.Bowling_Skill) DESC LIMIT 1
|
[
"What",
"is",
"the",
"bowling",
"skill",
"used",
"by",
"most",
"players",
"?"
] |
[
{
"id": 0,
"type": "column",
"value": "bowling_skill"
},
{
"id": 1,
"type": "table",
"value": "bowling_style"
},
{
"id": 3,
"type": "column",
"value": "bowling_id"
},
{
"id": 2,
"type": "table",
"value": "player"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
8
]
},
{
"entity_id": 3,
"token_idxs": [
3
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"B-COLUMN",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
14,284
|
election_representative
|
spider:train_spider.json:1187
|
What are the different parties of representative? Show the party name and the number of representatives in each party.
|
SELECT Party , COUNT(*) FROM representative GROUP BY Party
|
[
"What",
"are",
"the",
"different",
"parties",
"of",
"representative",
"?",
"Show",
"the",
"party",
"name",
"and",
"the",
"number",
"of",
"representatives",
"in",
"each",
"party",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "representative"
},
{
"id": 1,
"type": "column",
"value": "party"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
6
]
},
{
"entity_id": 1,
"token_idxs": [
10
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
14,285
|
toxicology
|
bird:dev.json:239
|
How many connections does the atom 19 have?
|
SELECT COUNT(T.bond_id) FROM connected AS T WHERE SUBSTR(T.atom_id, -2) = '19'
|
[
"How",
"many",
"connections",
"does",
"the",
"atom",
"19",
"have",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "connected"
},
{
"id": 2,
"type": "column",
"value": "bond_id"
},
{
"id": 3,
"type": "column",
"value": "atom_id"
},
{
"id": 1,
"type": "value",
"value": "19"
},
{
"id": 4,
"type": "value",
"value": "-2"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": [
6
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
5
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"B-VALUE",
"O",
"O"
] |
14,286
|
retail_world
|
bird:train.json:6441
|
Which product is the most expensive?
|
SELECT ProductName FROM Products WHERE UnitPrice = ( SELECT MAX(UnitPrice) FROM Products )
|
[
"Which",
"product",
"is",
"the",
"most",
"expensive",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "productname"
},
{
"id": 2,
"type": "column",
"value": "unitprice"
},
{
"id": 0,
"type": "table",
"value": "products"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
1
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O"
] |
14,287
|
chicago_crime
|
bird:train.json:8636
|
What is the legislative district's office address where 010XX W LAKE ST is located?
|
SELECT T1.ward_office_address FROM Ward AS T1 INNER JOIN Crime AS T2 ON T1.ward_no = T2.ward_no WHERE T2.block = '010XX W LAKE ST' GROUP BY T1.ward_office_address
|
[
"What",
"is",
"the",
"legislative",
"district",
"'s",
"office",
"address",
"where",
"010XX",
"W",
"LAKE",
"ST",
"is",
"located",
"?"
] |
[
{
"id": 0,
"type": "column",
"value": "ward_office_address"
},
{
"id": 4,
"type": "value",
"value": "010XX W LAKE ST"
},
{
"id": 5,
"type": "column",
"value": "ward_no"
},
{
"id": 2,
"type": "table",
"value": "crime"
},
{
"id": 3,
"type": "column",
"value": "block"
},
{
"id": 1,
"type": "table",
"value": "ward"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
6,
7
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
9,
10,
11,
12
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"O",
"O",
"O"
] |
14,288
|
college_3
|
spider:train_spider.json:4638
|
Count the number of courses with more than 2 credits.
|
SELECT count(*) FROM COURSE WHERE Credits > 2
|
[
"Count",
"the",
"number",
"of",
"courses",
"with",
"more",
"than",
"2",
"credits",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "credits"
},
{
"id": 0,
"type": "table",
"value": "course"
},
{
"id": 2,
"type": "value",
"value": "2"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
"token_idxs": [
9
]
},
{
"entity_id": 2,
"token_idxs": [
8
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-VALUE",
"B-COLUMN",
"O"
] |
14,290
|
works_cycles
|
bird:train.json:7052
|
Please list the job titles of the employees who has a document that has been approved.
|
SELECT DISTINCT T2.BusinessEntityID, T2.JobTitle FROM Document AS T1 INNER JOIN Employee AS T2 ON T1.Owner = T2.BusinessEntityID WHERE T1.Status = 2
|
[
"Please",
"list",
"the",
"job",
"titles",
"of",
"the",
"employees",
"who",
"has",
"a",
"document",
"that",
"has",
"been",
"approved",
"."
] |
[
{
"id": 0,
"type": "column",
"value": "businessentityid"
},
{
"id": 1,
"type": "column",
"value": "jobtitle"
},
{
"id": 2,
"type": "table",
"value": "document"
},
{
"id": 3,
"type": "table",
"value": "employee"
},
{
"id": 4,
"type": "column",
"value": "status"
},
{
"id": 6,
"type": "column",
"value": "owner"
},
{
"id": 5,
"type": "value",
"value": "2"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
3,
4
]
},
{
"entity_id": 2,
"token_idxs": [
11
]
},
{
"entity_id": 3,
"token_idxs": [
7
]
},
{
"entity_id": 4,
"token_idxs": [
12
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"O",
"O",
"O"
] |
14,291
|
soccer_2
|
spider:train_spider.json:4983
|
What are the different names of the colleges involved in the tryout in alphabetical order?
|
SELECT DISTINCT cName FROM tryout ORDER BY cName
|
[
"What",
"are",
"the",
"different",
"names",
"of",
"the",
"colleges",
"involved",
"in",
"the",
"tryout",
"in",
"alphabetical",
"order",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "tryout"
},
{
"id": 1,
"type": "column",
"value": "cname"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
11
]
},
{
"entity_id": 1,
"token_idxs": [
4
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O"
] |
14,292
|
flight_1
|
spider:train_spider.json:409
|
Which destination has least number of flights?
|
SELECT destination FROM Flight GROUP BY destination ORDER BY count(*) LIMIT 1
|
[
"Which",
"destination",
"has",
"least",
"number",
"of",
"flights",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "destination"
},
{
"id": 0,
"type": "table",
"value": "flight"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
6
]
},
{
"entity_id": 1,
"token_idxs": [
1
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
14,294
|
law_episode
|
bird:train.json:1286
|
Who is the narrator of the "Flight" episode?
|
SELECT T3.name FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Person AS T3 ON T3.person_id = T2.person_id WHERE T1.title = 'Flight' AND T2.role = 'Narrator'
|
[
"Who",
"is",
"the",
"narrator",
"of",
"the",
"\"",
"Flight",
"\"",
"episode",
"?"
] |
[
{
"id": 9,
"type": "column",
"value": "episode_id"
},
{
"id": 4,
"type": "column",
"value": "person_id"
},
{
"id": 8,
"type": "value",
"value": "Narrator"
},
{
"id": 2,
"type": "table",
"value": "episode"
},
{
"id": 1,
"type": "table",
"value": "person"
},
{
"id": 3,
"type": "table",
"value": "credit"
},
{
"id": 6,
"type": "value",
"value": "Flight"
},
{
"id": 5,
"type": "column",
"value": "title"
},
{
"id": 0,
"type": "column",
"value": "name"
},
{
"id": 7,
"type": "column",
"value": "role"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
9
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": [
7
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": [
3
]
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"B-VALUE",
"O",
"B-TABLE",
"O"
] |
14,295
|
world_development_indicators
|
bird:train.json:2137
|
From 1960 to 1965, which country had the highest Death rate, crude (per 1,000 people)?
|
SELECT CountryName FROM Indicators WHERE Year BETWEEN 1960 AND 1965 AND IndicatorName = 'Death rate, crude (per 1,000 people)' ORDER BY Value DESC LIMIT 1
|
[
"From",
"1960",
"to",
"1965",
",",
"which",
"country",
"had",
"the",
"highest",
"Death",
"rate",
",",
"crude",
"(",
"per",
"1,000",
"people",
")",
"?"
] |
[
{
"id": 7,
"type": "value",
"value": "Death rate, crude (per 1,000 people)"
},
{
"id": 6,
"type": "column",
"value": "indicatorname"
},
{
"id": 1,
"type": "column",
"value": "countryname"
},
{
"id": 0,
"type": "table",
"value": "indicators"
},
{
"id": 2,
"type": "column",
"value": "value"
},
{
"id": 3,
"type": "column",
"value": "year"
},
{
"id": 4,
"type": "value",
"value": "1960"
},
{
"id": 5,
"type": "value",
"value": "1965"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
6
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
1
]
},
{
"entity_id": 5,
"token_idxs": [
3
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": [
10,
11,
12,
13,
14,
15,
16,
17,
18
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-VALUE",
"O",
"B-VALUE",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"O"
] |
14,296
|
student_club
|
bird:dev.json:1400
|
Among all events hold by the Student_Club in 2019, find the percentage share of events related to 'Community Service'
|
SELECT CAST(SUM(CASE WHEN type = 'Community Service' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(type) FROM event WHERE SUBSTR(event_date, 1, 4) = '2019'
|
[
"Among",
"all",
"events",
"hold",
"by",
"the",
"Student_Club",
"in",
"2019",
",",
"find",
"the",
"percentage",
"share",
"of",
"events",
"related",
"to",
"'",
"Community",
"Service",
"'"
] |
[
{
"id": 8,
"type": "value",
"value": "Community Service"
},
{
"id": 2,
"type": "column",
"value": "event_date"
},
{
"id": 0,
"type": "table",
"value": "event"
},
{
"id": 1,
"type": "value",
"value": "2019"
},
{
"id": 6,
"type": "column",
"value": "type"
},
{
"id": 5,
"type": "value",
"value": "100"
},
{
"id": 3,
"type": "value",
"value": "1"
},
{
"id": 4,
"type": "value",
"value": "4"
},
{
"id": 7,
"type": "value",
"value": "0"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
15
]
},
{
"entity_id": 1,
"token_idxs": [
8
]
},
{
"entity_id": 2,
"token_idxs": [
16
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": [
19,
20
]
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"O",
"B-VALUE",
"I-VALUE",
"O"
] |
14,297
|
apartment_rentals
|
spider:train_spider.json:1246
|
Show the apartment type codes and apartment numbers in the buildings managed by "Kyle".
|
SELECT T2.apt_type_code , T2.apt_number FROM Apartment_Buildings AS T1 JOIN Apartments AS T2 ON T1.building_id = T2.building_id WHERE T1.building_manager = "Kyle"
|
[
"Show",
"the",
"apartment",
"type",
"codes",
"and",
"apartment",
"numbers",
"in",
"the",
"buildings",
"managed",
"by",
"\"",
"Kyle",
"\"",
"."
] |
[
{
"id": 2,
"type": "table",
"value": "apartment_buildings"
},
{
"id": 4,
"type": "column",
"value": "building_manager"
},
{
"id": 0,
"type": "column",
"value": "apt_type_code"
},
{
"id": 6,
"type": "column",
"value": "building_id"
},
{
"id": 1,
"type": "column",
"value": "apt_number"
},
{
"id": 3,
"type": "table",
"value": "apartments"
},
{
"id": 5,
"type": "column",
"value": "Kyle"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3,
4
]
},
{
"entity_id": 1,
"token_idxs": [
7
]
},
{
"entity_id": 2,
"token_idxs": [
9
]
},
{
"entity_id": 3,
"token_idxs": [
6
]
},
{
"entity_id": 4,
"token_idxs": [
11
]
},
{
"entity_id": 5,
"token_idxs": [
14
]
},
{
"entity_id": 6,
"token_idxs": [
10
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"B-TABLE",
"B-COLUMN",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"O",
"O"
] |
14,298
|
college_2
|
spider:train_spider.json:1327
|
Give the name and building of the departments with greater than average budget.
|
SELECT dept_name , building FROM department WHERE budget > (SELECT avg(budget) FROM department)
|
[
"Give",
"the",
"name",
"and",
"building",
"of",
"the",
"departments",
"with",
"greater",
"than",
"average",
"budget",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "department"
},
{
"id": 1,
"type": "column",
"value": "dept_name"
},
{
"id": 2,
"type": "column",
"value": "building"
},
{
"id": 3,
"type": "column",
"value": "budget"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
7
]
},
{
"entity_id": 1,
"token_idxs": [
2
]
},
{
"entity_id": 2,
"token_idxs": [
4
]
},
{
"entity_id": 3,
"token_idxs": [
12
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O"
] |
14,299
|
card_games
|
bird:dev.json:445
|
What is the language and flavor text of the card that has colorpie watermark? List out the type of this card.
|
SELECT DISTINCT T2.language, T2.flavorText FROM cards AS T1 INNER JOIN foreign_data AS T2 ON T2.uuid = T1.uuid WHERE T1.watermark = 'colorpie'
|
[
"What",
"is",
"the",
"language",
"and",
"flavor",
"text",
"of",
"the",
"card",
"that",
"has",
"colorpie",
"watermark",
"?",
"List",
"out",
"the",
"type",
"of",
"this",
"card",
"."
] |
[
{
"id": 3,
"type": "table",
"value": "foreign_data"
},
{
"id": 1,
"type": "column",
"value": "flavortext"
},
{
"id": 4,
"type": "column",
"value": "watermark"
},
{
"id": 0,
"type": "column",
"value": "language"
},
{
"id": 5,
"type": "value",
"value": "colorpie"
},
{
"id": 2,
"type": "table",
"value": "cards"
},
{
"id": 6,
"type": "column",
"value": "uuid"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": [
5,
6
]
},
{
"entity_id": 2,
"token_idxs": [
21
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
13
]
},
{
"entity_id": 5,
"token_idxs": [
12
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
14,300
|
products_gen_characteristics
|
spider:train_spider.json:5527
|
What are the different names of the product characteristics?
|
SELECT DISTINCT characteristic_name FROM CHARACTERISTICS
|
[
"What",
"are",
"the",
"different",
"names",
"of",
"the",
"product",
"characteristics",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "characteristic_name"
},
{
"id": 0,
"type": "table",
"value": "characteristics"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
8
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
14,301
|
movie_1
|
spider:train_spider.json:2505
|
For each reviewer id, what is the title and rating for the movie with the smallest rating?
|
SELECT T2.title , T1.rID , T1.stars , min(T1.stars) FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID GROUP BY T1.rID
|
[
"For",
"each",
"reviewer",
"i",
"d",
",",
"what",
"is",
"the",
"title",
"and",
"rating",
"for",
"the",
"movie",
"with",
"the",
"smallest",
"rating",
"?"
] |
[
{
"id": 3,
"type": "table",
"value": "rating"
},
{
"id": 1,
"type": "column",
"value": "title"
},
{
"id": 2,
"type": "column",
"value": "stars"
},
{
"id": 4,
"type": "table",
"value": "movie"
},
{
"id": 0,
"type": "column",
"value": "rid"
},
{
"id": 5,
"type": "column",
"value": "mid"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
9
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
18
]
},
{
"entity_id": 4,
"token_idxs": [
14
]
},
{
"entity_id": 5,
"token_idxs": [
3,
4
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
14,302
|
retails
|
bird:train.json:6894
|
What is the profit for part no.98768 in order no.1?
|
SELECT T1.l_extendedprice * (1 - T1.l_discount) - T2.ps_supplycost * T1.l_quantity FROM lineitem AS T1 INNER JOIN partsupp AS T2 ON T1.l_suppkey = T2.ps_suppkey WHERE T1.l_orderkey = 1 AND T1.l_partkey = 98768
|
[
"What",
"is",
"the",
"profit",
"for",
"part",
"no.98768",
"in",
"order",
"no.1",
"?"
] |
[
{
"id": 8,
"type": "column",
"value": "l_extendedprice"
},
{
"id": 9,
"type": "column",
"value": "ps_supplycost"
},
{
"id": 3,
"type": "column",
"value": "ps_suppkey"
},
{
"id": 4,
"type": "column",
"value": "l_orderkey"
},
{
"id": 10,
"type": "column",
"value": "l_quantity"
},
{
"id": 11,
"type": "column",
"value": "l_discount"
},
{
"id": 2,
"type": "column",
"value": "l_suppkey"
},
{
"id": 6,
"type": "column",
"value": "l_partkey"
},
{
"id": 0,
"type": "table",
"value": "lineitem"
},
{
"id": 1,
"type": "table",
"value": "partsupp"
},
{
"id": 7,
"type": "value",
"value": "98768"
},
{
"id": 5,
"type": "value",
"value": "1"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
5
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
8
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": [
6
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"B-VALUE",
"O",
"B-COLUMN",
"O",
"O"
] |
14,303
|
card_games
|
bird:dev.json:456
|
What's the list of all types for the card "Molimo, Maro-Sorcerer"?
|
SELECT DISTINCT subtypes, supertypes FROM cards WHERE name = 'Molimo, Maro-Sorcerer'
|
[
"What",
"'s",
"the",
"list",
"of",
"all",
"types",
"for",
"the",
"card",
"\"",
"Molimo",
",",
"Maro",
"-",
"Sorcerer",
"\"",
"?"
] |
[
{
"id": 4,
"type": "value",
"value": "Molimo, Maro-Sorcerer"
},
{
"id": 2,
"type": "column",
"value": "supertypes"
},
{
"id": 1,
"type": "column",
"value": "subtypes"
},
{
"id": 0,
"type": "table",
"value": "cards"
},
{
"id": 3,
"type": "column",
"value": "name"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
9
]
},
{
"entity_id": 1,
"token_idxs": [
6
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
11,
12,
13,
14,
15
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"O",
"O"
] |
14,304
|
authors
|
bird:train.json:3610
|
How many papers are published under the conference "Mathematics of Program Construction
"?
|
SELECT COUNT(T1.Id) FROM Paper AS T1 INNER JOIN Conference AS T2 ON T1.ConferenceId = T2.Id WHERE T2.FullName = 'Mathematics of Program Construction'
|
[
"How",
"many",
"papers",
"are",
"published",
"under",
"the",
"conference",
"\"",
"Mathematics",
"of",
"Program",
"Construction",
"\n",
"\"",
"?"
] |
[
{
"id": 3,
"type": "value",
"value": "Mathematics of Program Construction"
},
{
"id": 5,
"type": "column",
"value": "conferenceid"
},
{
"id": 1,
"type": "table",
"value": "conference"
},
{
"id": 2,
"type": "column",
"value": "fullname"
},
{
"id": 0,
"type": "table",
"value": "paper"
},
{
"id": 4,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": [
7
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
9,
10,
11,
12
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"O",
"O",
"O"
] |
14,305
|
works_cycles
|
bird:train.json:7151
|
Name cellphone number's Type ID?
|
SELECT PhoneNumberTypeID FROM PhoneNumberType WHERE Name = 'Cell'
|
[
"Name",
"cellphone",
"number",
"'s",
"Type",
"ID",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "phonenumbertypeid"
},
{
"id": 0,
"type": "table",
"value": "phonenumbertype"
},
{
"id": 2,
"type": "column",
"value": "name"
},
{
"id": 3,
"type": "value",
"value": "Cell"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2,
3,
4
]
},
{
"entity_id": 1,
"token_idxs": [
5
]
},
{
"entity_id": 2,
"token_idxs": [
0
]
},
{
"entity_id": 3,
"token_idxs": [
1
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"B-COLUMN",
"B-VALUE",
"B-TABLE",
"I-TABLE",
"I-TABLE",
"B-COLUMN",
"O"
] |
14,306
|
cre_Docs_and_Epenses
|
spider:train_spider.json:6385
|
How many accounts do we have?
|
SELECT count(*) FROM Accounts
|
[
"How",
"many",
"accounts",
"do",
"we",
"have",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "accounts"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O"
] |
14,307
|
books
|
bird:train.json:6012
|
How many customers use a Yahoo! Mail e-mail address?
|
SELECT COUNT(*) FROM customer WHERE email LIKE '%@yahoo.com'
|
[
"How",
"many",
"customers",
"use",
"a",
"Yahoo",
"!",
"Mail",
"e",
"-",
"mail",
"address",
"?"
] |
[
{
"id": 2,
"type": "value",
"value": "%@yahoo.com"
},
{
"id": 0,
"type": "table",
"value": "customer"
},
{
"id": 1,
"type": "column",
"value": "email"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": [
8,
9,
10
]
},
{
"entity_id": 2,
"token_idxs": [
5
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"O",
"B-VALUE",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O",
"O"
] |
14,308
|
party_host
|
spider:train_spider.json:2683
|
Which parties have hosts of age above 50? Give me the party locations.
|
SELECT T3.Location FROM party_host AS T1 JOIN HOST AS T2 ON T1.Host_ID = T2.Host_ID JOIN party AS T3 ON T1.Party_ID = T3.Party_ID WHERE T2.Age > 50
|
[
"Which",
"parties",
"have",
"hosts",
"of",
"age",
"above",
"50",
"?",
"Give",
"me",
"the",
"party",
"locations",
"."
] |
[
{
"id": 4,
"type": "table",
"value": "party_host"
},
{
"id": 0,
"type": "column",
"value": "location"
},
{
"id": 6,
"type": "column",
"value": "party_id"
},
{
"id": 7,
"type": "column",
"value": "host_id"
},
{
"id": 1,
"type": "table",
"value": "party"
},
{
"id": 5,
"type": "table",
"value": "host"
},
{
"id": 2,
"type": "column",
"value": "age"
},
{
"id": 3,
"type": "value",
"value": "50"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
13
]
},
{
"entity_id": 1,
"token_idxs": [
12
]
},
{
"entity_id": 2,
"token_idxs": [
5
]
},
{
"entity_id": 3,
"token_idxs": [
7
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
3
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O"
] |
14,309
|
assets_maintenance
|
spider:train_spider.json:3151
|
Which part has the least chargeable amount? List the part id and amount.
|
SELECT part_id , chargeable_amount FROM Parts ORDER BY chargeable_amount ASC LIMIT 1
|
[
"Which",
"part",
"has",
"the",
"least",
"chargeable",
"amount",
"?",
"List",
"the",
"part",
"i",
"d",
"and",
"amount",
"."
] |
[
{
"id": 2,
"type": "column",
"value": "chargeable_amount"
},
{
"id": 1,
"type": "column",
"value": "part_id"
},
{
"id": 0,
"type": "table",
"value": "parts"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
1
]
},
{
"entity_id": 1,
"token_idxs": [
10,
11,
12
]
},
{
"entity_id": 2,
"token_idxs": [
5,
6
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-TABLE",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O",
"O",
"O"
] |
14,310
|
legislator
|
bird:train.json:4882
|
Who is the Lutheran representative that served in the state of Ohio for 14 years before becoming a senator?
|
SELECT CASE WHEN SUM(CAST(strftime('%Y', T2.end) AS int) - CAST(strftime('%Y', T2.start) AS int)) = 14 THEN official_full_name END FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.religion_bio = 'Lutheran' AND T2.state = 'OH' AND T2.type = 'rep'
|
[
"Who",
"is",
"the",
"Lutheran",
"representative",
"that",
"served",
"in",
"the",
"state",
"of",
"Ohio",
"for",
"14",
"years",
"before",
"becoming",
"a",
"senator",
"?"
] |
[
{
"id": 10,
"type": "column",
"value": "official_full_name"
},
{
"id": 1,
"type": "table",
"value": "current-terms"
},
{
"id": 4,
"type": "column",
"value": "religion_bio"
},
{
"id": 2,
"type": "column",
"value": "bioguide_id"
},
{
"id": 3,
"type": "column",
"value": "bioguide"
},
{
"id": 5,
"type": "value",
"value": "Lutheran"
},
{
"id": 0,
"type": "table",
"value": "current"
},
{
"id": 6,
"type": "column",
"value": "state"
},
{
"id": 14,
"type": "column",
"value": "start"
},
{
"id": 8,
"type": "column",
"value": "type"
},
{
"id": 9,
"type": "value",
"value": "rep"
},
{
"id": 13,
"type": "column",
"value": "end"
},
{
"id": 7,
"type": "value",
"value": "OH"
},
{
"id": 11,
"type": "value",
"value": "14"
},
{
"id": 12,
"type": "value",
"value": "%Y"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
3
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": [
11
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": [
13
]
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": [
9
]
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"O"
] |
14,311
|
products_gen_characteristics
|
spider:train_spider.json:5562
|
List all characteristics of product named "sesame" with type code "Grade".
|
SELECT t3.characteristic_name FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id = t3.characteristic_id WHERE t1.product_name = "sesame" AND t3.characteristic_type_code = "Grade"
|
[
"List",
"all",
"characteristics",
"of",
"product",
"named",
"\"",
"sesame",
"\"",
"with",
"type",
"code",
"\"",
"Grade",
"\"",
"."
] |
[
{
"id": 7,
"type": "column",
"value": "characteristic_type_code"
},
{
"id": 3,
"type": "table",
"value": "product_characteristics"
},
{
"id": 0,
"type": "column",
"value": "characteristic_name"
},
{
"id": 4,
"type": "column",
"value": "characteristic_id"
},
{
"id": 1,
"type": "table",
"value": "characteristics"
},
{
"id": 5,
"type": "column",
"value": "product_name"
},
{
"id": 9,
"type": "column",
"value": "product_id"
},
{
"id": 2,
"type": "table",
"value": "products"
},
{
"id": 6,
"type": "column",
"value": "sesame"
},
{
"id": 8,
"type": "column",
"value": "Grade"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
2
]
},
{
"entity_id": 2,
"token_idxs": [
4
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
5
]
},
{
"entity_id": 6,
"token_idxs": [
7
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": [
13
]
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O"
] |
14,312
|
cre_Doc_Control_Systems
|
spider:train_spider.json:2114
|
List the document ids for any documents with the status code done and the type code paper.
|
SELECT document_id FROM Documents WHERE document_status_code = "done" AND document_type_code = "Paper";
|
[
"List",
"the",
"document",
"ids",
"for",
"any",
"documents",
"with",
"the",
"status",
"code",
"done",
"and",
"the",
"type",
"code",
"paper",
"."
] |
[
{
"id": 2,
"type": "column",
"value": "document_status_code"
},
{
"id": 4,
"type": "column",
"value": "document_type_code"
},
{
"id": 1,
"type": "column",
"value": "document_id"
},
{
"id": 0,
"type": "table",
"value": "documents"
},
{
"id": 5,
"type": "column",
"value": "Paper"
},
{
"id": 3,
"type": "column",
"value": "done"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
6
]
},
{
"entity_id": 1,
"token_idxs": [
2,
3
]
},
{
"entity_id": 2,
"token_idxs": [
7,
8,
9,
10
]
},
{
"entity_id": 3,
"token_idxs": [
11
]
},
{
"entity_id": 4,
"token_idxs": [
12,
13,
14,
15
]
},
{
"entity_id": 5,
"token_idxs": [
16
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"I-COLUMN",
"B-COLUMN",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"I-COLUMN",
"B-COLUMN",
"O"
] |
14,313
|
theme_gallery
|
spider:train_spider.json:1649
|
How many artists do we have?
|
SELECT count(*) FROM artist
|
[
"How",
"many",
"artists",
"do",
"we",
"have",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "artist"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O"
] |
14,314
|
match_season
|
spider:train_spider.json:1084
|
Show the positions of the players from the team with name "Ryley Goldner".
|
SELECT T1.Position FROM match_season AS T1 JOIN team AS T2 ON T1.Team = T2.Team_id WHERE T2.Name = "Ryley Goldner"
|
[
"Show",
"the",
"positions",
"of",
"the",
"players",
"from",
"the",
"team",
"with",
"name",
"\"",
"Ryley",
"Goldner",
"\"",
"."
] |
[
{
"id": 4,
"type": "column",
"value": "Ryley Goldner"
},
{
"id": 1,
"type": "table",
"value": "match_season"
},
{
"id": 0,
"type": "column",
"value": "position"
},
{
"id": 6,
"type": "column",
"value": "team_id"
},
{
"id": 2,
"type": "table",
"value": "team"
},
{
"id": 3,
"type": "column",
"value": "name"
},
{
"id": 5,
"type": "column",
"value": "team"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
10
]
},
{
"entity_id": 4,
"token_idxs": [
12,
13
]
},
{
"entity_id": 5,
"token_idxs": [
8
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O"
] |
14,315
|
citeseer
|
bird:train.json:4146
|
List all the paper ID and its class type that cited the word 'word1002'.
|
SELECT T1.paper_id, T1.class_label FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id WHERE T2.word_cited_id = 'word1002'
|
[
"List",
"all",
"the",
"paper",
"ID",
"and",
"its",
"class",
"type",
"that",
"cited",
"the",
"word",
"'",
"word1002",
"'",
"."
] |
[
{
"id": 4,
"type": "column",
"value": "word_cited_id"
},
{
"id": 1,
"type": "column",
"value": "class_label"
},
{
"id": 0,
"type": "column",
"value": "paper_id"
},
{
"id": 5,
"type": "value",
"value": "word1002"
},
{
"id": 3,
"type": "table",
"value": "content"
},
{
"id": 2,
"type": "table",
"value": "paper"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
"token_idxs": [
7
]
},
{
"entity_id": 2,
"token_idxs": [
3
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
14
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"O"
] |
14,316
|
cookbook
|
bird:train.json:8906
|
List the ingredients in Tomato-Cucumber Relish.
|
SELECT T3.name FROM Recipe AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id INNER JOIN Ingredient AS T3 ON T3.ingredient_id = T2.ingredient_id WHERE T1.title = 'Tomato-Cucumber Relish'
|
[
"List",
"the",
"ingredients",
"in",
"Tomato",
"-",
"Cucumber",
"Relish",
"."
] |
[
{
"id": 3,
"type": "value",
"value": "Tomato-Cucumber Relish"
},
{
"id": 6,
"type": "column",
"value": "ingredient_id"
},
{
"id": 1,
"type": "table",
"value": "ingredient"
},
{
"id": 7,
"type": "column",
"value": "recipe_id"
},
{
"id": 5,
"type": "table",
"value": "quantity"
},
{
"id": 4,
"type": "table",
"value": "recipe"
},
{
"id": 2,
"type": "column",
"value": "title"
},
{
"id": 0,
"type": "column",
"value": "name"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
2
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
4,
5,
6,
7
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"O"
] |
14,317
|
retail_world
|
bird:train.json:6542
|
List the full name of employees and titles who have to report to Sales Manager.
|
SELECT FirstName, LastName, Title FROM Employees WHERE ReportsTo = ( SELECT EmployeeID FROM Employees WHERE Title = 'Sales Manager' )
|
[
"List",
"the",
"full",
"name",
"of",
"employees",
"and",
"titles",
"who",
"have",
"to",
"report",
"to",
"Sales",
"Manager",
"."
] |
[
{
"id": 6,
"type": "value",
"value": "Sales Manager"
},
{
"id": 5,
"type": "column",
"value": "employeeid"
},
{
"id": 0,
"type": "table",
"value": "employees"
},
{
"id": 1,
"type": "column",
"value": "firstname"
},
{
"id": 4,
"type": "column",
"value": "reportsto"
},
{
"id": 2,
"type": "column",
"value": "lastname"
},
{
"id": 3,
"type": "column",
"value": "title"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
5
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
3
]
},
{
"entity_id": 3,
"token_idxs": [
7
]
},
{
"entity_id": 4,
"token_idxs": [
11,
12
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": [
13,
14
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"B-VALUE",
"I-VALUE",
"O"
] |
14,318
|
student_loan
|
bird:train.json:4431
|
List out the number of female students who enlisted in the air force.
|
SELECT COUNT(name) FROM enlist WHERE organ = 'air_force' AND name NOT IN ( SELECT name FROM male )
|
[
"List",
"out",
"the",
"number",
"of",
"female",
"students",
"who",
"enlisted",
"in",
"the",
"air",
"force",
"."
] |
[
{
"id": 3,
"type": "value",
"value": "air_force"
},
{
"id": 0,
"type": "table",
"value": "enlist"
},
{
"id": 2,
"type": "column",
"value": "organ"
},
{
"id": 1,
"type": "column",
"value": "name"
},
{
"id": 4,
"type": "table",
"value": "male"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
8
]
},
{
"entity_id": 1,
"token_idxs": [
3
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
11,
12
]
},
{
"entity_id": 4,
"token_idxs": [
5
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-VALUE",
"I-VALUE",
"O"
] |
14,319
|
cre_Doc_and_collections
|
bird:test.json:668
|
What are the details on the document subsets that are named 'Best for 2000'?
|
SELECT Document_Subset_Details FROM Document_Subsets WHERE Document_Subset_Name = "Best for 2000";
|
[
"What",
"are",
"the",
"details",
"on",
"the",
"document",
"subsets",
"that",
"are",
"named",
"'",
"Best",
"for",
"2000",
"'",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "document_subset_details"
},
{
"id": 2,
"type": "column",
"value": "document_subset_name"
},
{
"id": 0,
"type": "table",
"value": "document_subsets"
},
{
"id": 3,
"type": "column",
"value": "Best for 2000"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
6,
7
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
12,
13,
14
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"I-TABLE",
"O",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O",
"O"
] |
14,320
|
retail_complains
|
bird:train.json:406
|
List the product and its issues of the complains of clients with age greater than the 60% of average age of all clients.
|
SELECT DISTINCT T2.Product, T2.Issue FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.age * 100 > ( SELECT AVG(age) * 60 FROM client )
|
[
"List",
"the",
"product",
"and",
"its",
"issues",
"of",
"the",
"complains",
"of",
"clients",
"with",
"age",
"greater",
"than",
"the",
"60",
"%",
"of",
"average",
"age",
"of",
"all",
"clients",
"."
] |
[
{
"id": 4,
"type": "column",
"value": "client_id"
},
{
"id": 0,
"type": "column",
"value": "product"
},
{
"id": 2,
"type": "table",
"value": "client"
},
{
"id": 3,
"type": "table",
"value": "events"
},
{
"id": 1,
"type": "column",
"value": "issue"
},
{
"id": 5,
"type": "column",
"value": "age"
},
{
"id": 6,
"type": "value",
"value": "100"
},
{
"id": 7,
"type": "value",
"value": "60"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": [
5
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
23
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
12
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": [
16
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
14,321
|
cre_Students_Information_Systems
|
bird:test.json:480
|
Which students have 'Suite' as a substring in their details? Give me their biographical information.
|
SELECT bio_data FROM Students WHERE student_details LIKE '%Suite%'
|
[
"Which",
"students",
"have",
"'",
"Suite",
"'",
"as",
"a",
"substring",
"in",
"their",
"details",
"?",
"Give",
"me",
"their",
"biographical",
"information",
"."
] |
[
{
"id": 2,
"type": "column",
"value": "student_details"
},
{
"id": 0,
"type": "table",
"value": "students"
},
{
"id": 1,
"type": "column",
"value": "bio_data"
},
{
"id": 3,
"type": "value",
"value": "%Suite%"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
1
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
4
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-TABLE",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
14,322
|
formula_1
|
spider:train_spider.json:2216
|
What are the ids and locations of all circuits in France or Belgium?
|
SELECT circuitid , LOCATION FROM circuits WHERE country = "France" OR country = "Belgium"
|
[
"What",
"are",
"the",
"ids",
"and",
"locations",
"of",
"all",
"circuits",
"in",
"France",
"or",
"Belgium",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "circuitid"
},
{
"id": 0,
"type": "table",
"value": "circuits"
},
{
"id": 2,
"type": "column",
"value": "location"
},
{
"id": 3,
"type": "column",
"value": "country"
},
{
"id": 5,
"type": "column",
"value": "Belgium"
},
{
"id": 4,
"type": "column",
"value": "France"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
8
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
5
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
10
]
},
{
"entity_id": 5,
"token_idxs": [
12
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"O"
] |
14,323
|
music_2
|
spider:train_spider.json:5211
|
What are the instruments are used in the song "Le Pop"?
|
SELECT instrument FROM instruments AS T1 JOIN songs AS T2 ON T1.songid = T2.songid WHERE title = "Le Pop"
|
[
"What",
"are",
"the",
"instruments",
"are",
"used",
"in",
"the",
"song",
"\"",
"Le",
"Pop",
"\"",
"?"
] |
[
{
"id": 1,
"type": "table",
"value": "instruments"
},
{
"id": 0,
"type": "column",
"value": "instrument"
},
{
"id": 4,
"type": "column",
"value": "Le Pop"
},
{
"id": 5,
"type": "column",
"value": "songid"
},
{
"id": 2,
"type": "table",
"value": "songs"
},
{
"id": 3,
"type": "column",
"value": "title"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
8
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
10,
11
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O"
] |
14,324
|
mondial_geo
|
bird:train.json:8234
|
Calculate the service of GDP for Brazil.
|
SELECT T2.Service * T2.GDP FROM country AS T1 INNER JOIN economy AS T2 ON T1.Code = T2.Country WHERE T1.Name = 'Brazil'
|
[
"Calculate",
"the",
"service",
"of",
"GDP",
"for",
"Brazil",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "country"
},
{
"id": 1,
"type": "table",
"value": "economy"
},
{
"id": 4,
"type": "column",
"value": "service"
},
{
"id": 7,
"type": "column",
"value": "country"
},
{
"id": 3,
"type": "value",
"value": "Brazil"
},
{
"id": 2,
"type": "column",
"value": "name"
},
{
"id": 6,
"type": "column",
"value": "code"
},
{
"id": 5,
"type": "column",
"value": "gdp"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
6
]
},
{
"entity_id": 4,
"token_idxs": [
2
]
},
{
"entity_id": 5,
"token_idxs": [
4
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"O"
] |
14,325
|
student_assessment
|
spider:train_spider.json:60
|
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
|
[
"what",
"are",
"the",
"first",
"name",
"and",
"last",
"name",
"of",
"all",
"candidates",
"?"
] |
[
{
"id": 4,
"type": "column",
"value": "candidate_id"
},
{
"id": 0,
"type": "column",
"value": "first_name"
},
{
"id": 2,
"type": "table",
"value": "candidates"
},
{
"id": 1,
"type": "column",
"value": "last_name"
},
{
"id": 5,
"type": "column",
"value": "person_id"
},
{
"id": 3,
"type": "table",
"value": "people"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3,
4
]
},
{
"entity_id": 1,
"token_idxs": [
6,
7
]
},
{
"entity_id": 2,
"token_idxs": [
10
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"B-TABLE",
"O"
] |
14,326
|
behavior_monitoring
|
spider:train_spider.json:3089
|
How many distinct incident type codes are there?
|
SELECT count(DISTINCT incident_type_code) FROM Behavior_Incident
|
[
"How",
"many",
"distinct",
"incident",
"type",
"codes",
"are",
"there",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "incident_type_code"
},
{
"id": 0,
"type": "table",
"value": "behavior_incident"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": [
4,
5
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"O"
] |
14,328
|
store_1
|
spider:train_spider.json:594
|
What is the full name of the employee who has the most customers?
|
SELECT T1.first_name , T1.last_name FROM employees AS T1 JOIN customers AS T2 ON T1.id = T2.support_rep_id GROUP BY T1.id ORDER BY count(*) DESC LIMIT 1
|
[
"What",
"is",
"the",
"full",
"name",
"of",
"the",
"employee",
"who",
"has",
"the",
"most",
"customers",
"?"
] |
[
{
"id": 5,
"type": "column",
"value": "support_rep_id"
},
{
"id": 1,
"type": "column",
"value": "first_name"
},
{
"id": 2,
"type": "column",
"value": "last_name"
},
{
"id": 3,
"type": "table",
"value": "employees"
},
{
"id": 4,
"type": "table",
"value": "customers"
},
{
"id": 0,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
4
]
},
{
"entity_id": 3,
"token_idxs": [
7
]
},
{
"entity_id": 4,
"token_idxs": [
12
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
14,329
|
tracking_software_problems
|
spider:train_spider.json:5391
|
Find the ids of the problems reported after the date of any problems reported by the staff Rylan Homenick.
|
SELECT T1.problem_id FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE date_problem_reported > ( SELECT max(date_problem_reported) FROM problems AS T3 JOIN staff AS T4 ON T3.reported_by_staff_id = T4.staff_id WHERE T4.staff_first_name = "Rylan" AND T4.staff_last_name = "Homenick" )
|
[
"Find",
"the",
"ids",
"of",
"the",
"problems",
"reported",
"after",
"the",
"date",
"of",
"any",
"problems",
"reported",
"by",
"the",
"staff",
"Rylan",
"Homenick",
"."
] |
[
{
"id": 3,
"type": "column",
"value": "date_problem_reported"
},
{
"id": 4,
"type": "column",
"value": "reported_by_staff_id"
},
{
"id": 6,
"type": "column",
"value": "staff_first_name"
},
{
"id": 8,
"type": "column",
"value": "staff_last_name"
},
{
"id": 0,
"type": "column",
"value": "problem_id"
},
{
"id": 1,
"type": "table",
"value": "problems"
},
{
"id": 5,
"type": "column",
"value": "staff_id"
},
{
"id": 9,
"type": "column",
"value": "Homenick"
},
{
"id": 2,
"type": "table",
"value": "staff"
},
{
"id": 7,
"type": "column",
"value": "Rylan"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
5
]
},
{
"entity_id": 1,
"token_idxs": [
12
]
},
{
"entity_id": 2,
"token_idxs": [
16
]
},
{
"entity_id": 3,
"token_idxs": [
4,
6
]
},
{
"entity_id": 4,
"token_idxs": [
13,
14,
15
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": [
17
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": [
18
]
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-COLUMN",
"B-COLUMN",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"B-TABLE",
"B-COLUMN",
"B-COLUMN",
"O"
] |
14,330
|
movie_platform
|
bird:train.json:11
|
For all ratings which are rated in year 2020, name the movies which has the rating scored 4 and above.
|
SELECT T2.movie_title FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE CAST(SUBSTR(T1.rating_timestamp_utc, 1, 4) AS INTEGER) = 2020 AND CAST(SUBSTR(T1.rating_timestamp_utc, 6, 2) AS INTEGER) > 4
|
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",",
"name",
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"4",
"and",
"above",
"."
] |
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{
"id": 6,
"type": "column",
"value": "rating_timestamp_utc"
},
{
"id": 0,
"type": "column",
"value": "movie_title"
},
{
"id": 3,
"type": "column",
"value": "movie_id"
},
{
"id": 1,
"type": "table",
"value": "ratings"
},
{
"id": 2,
"type": "table",
"value": "movies"
},
{
"id": 4,
"type": "value",
"value": "2020"
},
{
"id": 5,
"type": "value",
"value": "4"
},
{
"id": 7,
"type": "value",
"value": "1"
},
{
"id": 8,
"type": "value",
"value": "6"
},
{
"id": 9,
"type": "value",
"value": "2"
}
] |
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{
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"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"O",
"O"
] |
14,332
|
talkingdata
|
bird:train.json:1177
|
How many females use ZUK Z1 phones in the age group under 23?
|
SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'F' AND T2.device_model = 'Z1' AND T1.`group` = 'F23-' AND T2.phone_brand = 'ZUK'
|
[
"How",
"many",
"females",
"use",
"ZUK",
"Z1",
"phones",
"in",
"the",
"age",
"group",
"under",
"23",
"?"
] |
[
{
"id": 1,
"type": "table",
"value": "phone_brand_device_model2"
},
{
"id": 5,
"type": "column",
"value": "device_model"
},
{
"id": 9,
"type": "column",
"value": "phone_brand"
},
{
"id": 0,
"type": "table",
"value": "gender_age"
},
{
"id": 2,
"type": "column",
"value": "device_id"
},
{
"id": 3,
"type": "column",
"value": "gender"
},
{
"id": 7,
"type": "column",
"value": "group"
},
{
"id": 8,
"type": "value",
"value": "F23-"
},
{
"id": 10,
"type": "value",
"value": "ZUK"
},
{
"id": 6,
"type": "value",
"value": "Z1"
},
{
"id": 4,
"type": "value",
"value": "F"
}
] |
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"token_idxs": []
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},
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"entity_id": 19,
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}
] |
[
"O",
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"O",
"B-VALUE",
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"B-COLUMN",
"I-COLUMN",
"O",
"O",
"B-COLUMN",
"B-COLUMN",
"B-VALUE",
"O"
] |
14,333
|
thrombosis_prediction
|
bird:dev.json:1265
|
How many patients have a normal level of anti-ribonuclear protein and have been admitted to the hospital?
|
SELECT COUNT(DISTINCT T1.ID) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.RNP = 'negative' OR T2.RNP = '0' AND T1.Admission = '+'
|
[
"How",
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"patients",
"have",
"a",
"normal",
"level",
"of",
"anti",
"-",
"ribonuclear",
"protein",
"and",
"have",
"been",
"admitted",
"to",
"the",
"hospital",
"?"
] |
[
{
"id": 1,
"type": "table",
"value": "laboratory"
},
{
"id": 6,
"type": "column",
"value": "admission"
},
{
"id": 4,
"type": "value",
"value": "negative"
},
{
"id": 0,
"type": "table",
"value": "patient"
},
{
"id": 3,
"type": "column",
"value": "rnp"
},
{
"id": 2,
"type": "column",
"value": "id"
},
{
"id": 5,
"type": "value",
"value": "0"
},
{
"id": 7,
"type": "value",
"value": "+"
}
] |
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},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
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}
] |
[
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
14,334
|
professional_basketball
|
bird:train.json:2863
|
Who is the tallest player in Denver Nuggets since 1980?
|
SELECT T1.firstName, T1.lastName FROM players AS T1 INNER JOIN players_teams AS T2 ON T1.playerID = T2.playerID INNER JOIN teams AS T3 ON T3.tmID = T2.tmID WHERE T3.name = 'Denver Nuggets' AND T2.year > 1980 ORDER BY T1.height DESC LIMIT 1
|
[
"Who",
"is",
"the",
"tallest",
"player",
"in",
"Denver",
"Nuggets",
"since",
"1980",
"?"
] |
[
{
"id": 8,
"type": "value",
"value": "Denver Nuggets"
},
{
"id": 5,
"type": "table",
"value": "players_teams"
},
{
"id": 0,
"type": "column",
"value": "firstname"
},
{
"id": 1,
"type": "column",
"value": "lastname"
},
{
"id": 11,
"type": "column",
"value": "playerid"
},
{
"id": 4,
"type": "table",
"value": "players"
},
{
"id": 3,
"type": "column",
"value": "height"
},
{
"id": 2,
"type": "table",
"value": "teams"
},
{
"id": 6,
"type": "column",
"value": "tmid"
},
{
"id": 7,
"type": "column",
"value": "name"
},
{
"id": 9,
"type": "column",
"value": "year"
},
{
"id": 10,
"type": "value",
"value": "1980"
}
] |
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},
{
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},
{
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] |
[
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"I-VALUE",
"O",
"B-VALUE",
"O"
] |
14,335
|
retail_world
|
bird:train.json:6471
|
List down the company names that have the highest reorder level.
|
SELECT DISTINCT T2.CompanyName FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T1.ReorderLevel = ( SELECT MAX(ReorderLevel) FROM Products )
|
[
"List",
"down",
"the",
"company",
"names",
"that",
"have",
"the",
"highest",
"reorder",
"level",
"."
] |
[
{
"id": 3,
"type": "column",
"value": "reorderlevel"
},
{
"id": 0,
"type": "column",
"value": "companyname"
},
{
"id": 4,
"type": "column",
"value": "supplierid"
},
{
"id": 2,
"type": "table",
"value": "suppliers"
},
{
"id": 1,
"type": "table",
"value": "products"
}
] |
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},
{
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"token_idxs": []
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{
"entity_id": 14,
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{
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{
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},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O"
] |
14,336
|
movie_3
|
bird:train.json:9218
|
Among the films rented by Natalie Meyer, describe the titles and categories of the films which were rented in February 2006.
|
SELECT T3.title, T2.name FROM film_category AS T1 INNER JOIN category AS T2 ON T1.category_id = T2.category_id INNER JOIN film AS T3 ON T1.film_id = T3.film_id INNER JOIN inventory AS T4 ON T3.film_id = T4.film_id INNER JOIN customer AS T5 ON T4.store_id = T5.store_id INNER JOIN rental AS T6 ON T4.inventory_id = T6.inventory_id WHERE T5.first_name = 'Natalie' AND T5.last_name = 'Meyer' AND STRFTIME('%Y',T3.rental_rate) = '2006' AND STRFTIME('%m',T3.rental_rate) = '2'
|
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"."
] |
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"id": 18,
"type": "table",
"value": "film_category"
},
{
"id": 4,
"type": "column",
"value": "inventory_id"
},
{
"id": 14,
"type": "column",
"value": "rental_rate"
},
{
"id": 20,
"type": "column",
"value": "category_id"
},
{
"id": 5,
"type": "column",
"value": "first_name"
},
{
"id": 7,
"type": "column",
"value": "last_name"
},
{
"id": 11,
"type": "table",
"value": "inventory"
},
{
"id": 3,
"type": "table",
"value": "customer"
},
{
"id": 12,
"type": "column",
"value": "store_id"
},
{
"id": 19,
"type": "table",
"value": "category"
},
{
"id": 6,
"type": "value",
"value": "Natalie"
},
{
"id": 17,
"type": "column",
"value": "film_id"
},
{
"id": 2,
"type": "table",
"value": "rental"
},
{
"id": 0,
"type": "column",
"value": "title"
},
{
"id": 8,
"type": "value",
"value": "Meyer"
},
{
"id": 1,
"type": "column",
"value": "name"
},
{
"id": 9,
"type": "value",
"value": "2006"
},
{
"id": 16,
"type": "table",
"value": "film"
},
{
"id": 13,
"type": "value",
"value": "%Y"
},
{
"id": 15,
"type": "value",
"value": "%m"
},
{
"id": 10,
"type": "value",
"value": "2"
}
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{
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{
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[
"O",
"O",
"B-TABLE",
"B-TABLE",
"O",
"B-VALUE",
"B-VALUE",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-VALUE",
"O"
] |
14,337
|
match_season
|
spider:train_spider.json:1078
|
What are the official languages of the countries of players from Maryland or Duke college?
|
SELECT T1.Official_native_language FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country WHERE T2.College = "Maryland" OR T2.College = "Duke"
|
[
"What",
"are",
"the",
"official",
"languages",
"of",
"the",
"countries",
"of",
"players",
"from",
"Maryland",
"or",
"Duke",
"college",
"?"
] |
[
{
"id": 0,
"type": "column",
"value": "official_native_language"
},
{
"id": 2,
"type": "table",
"value": "match_season"
},
{
"id": 3,
"type": "column",
"value": "country_id"
},
{
"id": 6,
"type": "column",
"value": "Maryland"
},
{
"id": 1,
"type": "table",
"value": "country"
},
{
"id": 4,
"type": "column",
"value": "country"
},
{
"id": 5,
"type": "column",
"value": "college"
},
{
"id": 7,
"type": "column",
"value": "Duke"
}
] |
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"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"B-COLUMN",
"O"
] |
14,338
|
shakespeare
|
bird:train.json:2989
|
In the year 1500s, how many tragedies did Shakespeare write?
|
SELECT COUNT(id) FROM works WHERE GenreType = 'Tragedy' AND Date BETWEEN 1500 AND 1599
|
[
"In",
"the",
"year",
"1500s",
",",
"how",
"many",
"tragedies",
"did",
"Shakespeare",
"write",
"?"
] |
[
{
"id": 2,
"type": "column",
"value": "genretype"
},
{
"id": 3,
"type": "value",
"value": "Tragedy"
},
{
"id": 0,
"type": "table",
"value": "works"
},
{
"id": 4,
"type": "column",
"value": "date"
},
{
"id": 5,
"type": "value",
"value": "1500"
},
{
"id": 6,
"type": "value",
"value": "1599"
},
{
"id": 1,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
8
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
7
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
3
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"B-VALUE",
"B-COLUMN",
"O",
"O",
"O"
] |
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