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16.1k
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2,789
|
vehicle_driver
|
bird:test.json:191
|
How many drivers have not driven any cars?
|
SELECT count(*) FROM driver WHERE driver_id NOT IN ( SELECT driver_id FROM vehicle_driver )
|
[
"How",
"many",
"drivers",
"have",
"not",
"driven",
"any",
"cars",
"?"
] |
[
{
"id": 2,
"type": "table",
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{
"id": 1,
"type": "column",
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{
"id": 0,
"type": "table",
"value": "driver"
}
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[
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O"
] |
2,790
|
movie_platform
|
bird:train.json:62
|
What's the description of user 85981819's movie list with the most followers?
|
SELECT T1.list_description FROM lists AS T1 INNER JOIN lists_users AS T2 ON T1.list_id = T2.list_id AND T1.user_id = T2.user_id WHERE T1.user_id = 85981819 ORDER BY T1.list_followers DESC LIMIT 1
|
[
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"description",
"of",
"user",
"85981819",
"'s",
"movie",
"list",
"with",
"the",
"most",
"followers",
"?"
] |
[
{
"id": 0,
"type": "column",
"value": "list_description"
},
{
"id": 5,
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"value": "list_followers"
},
{
"id": 2,
"type": "table",
"value": "lists_users"
},
{
"id": 4,
"type": "value",
"value": "85981819"
},
{
"id": 3,
"type": "column",
"value": "user_id"
},
{
"id": 6,
"type": "column",
"value": "list_id"
},
{
"id": 1,
"type": "table",
"value": "lists"
}
] |
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"O",
"O",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"B-VALUE",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O"
] |
2,791
|
toxicology
|
bird:dev.json:253
|
List the elements of all the triple bonds.
|
SELECT DISTINCT T3.element FROM bond AS T1 INNER JOIN connected AS T2 ON T1.bond_id = T2.bond_id INNER JOIN atom AS T3 ON T2.atom_id = T3.atom_id WHERE T1.bond_type = '#'
|
[
"List",
"the",
"elements",
"of",
"all",
"the",
"triple",
"bonds",
"."
] |
[
{
"id": 2,
"type": "column",
"value": "bond_type"
},
{
"id": 5,
"type": "table",
"value": "connected"
},
{
"id": 0,
"type": "column",
"value": "element"
},
{
"id": 6,
"type": "column",
"value": "atom_id"
},
{
"id": 7,
"type": "column",
"value": "bond_id"
},
{
"id": 1,
"type": "table",
"value": "atom"
},
{
"id": 4,
"type": "table",
"value": "bond"
},
{
"id": 3,
"type": "value",
"value": "#"
}
] |
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{
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"token_idxs": []
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{
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[
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
2,792
|
formula_1
|
bird:dev.json:985
|
Among the drivers who participated in the French Grand Prix, who has the slowest time in the 3rd lap.
|
SELECT T1.driverId FROM lapTimes AS T1 INNER JOIN races AS T2 on T1.raceId = T2.raceId WHERE T2.name = 'French Grand Prix' AND T1.lap = 3 ORDER BY T1.time DESC LIMIT 1
|
[
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"who",
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"in",
"the",
"French",
"Grand",
"Prix",
",",
"who",
"has",
"the",
"slowest",
"time",
"in",
"the",
"3rd",
"lap",
"."
] |
[
{
"id": 6,
"type": "value",
"value": "French Grand Prix"
},
{
"id": 0,
"type": "column",
"value": "driverid"
},
{
"id": 1,
"type": "table",
"value": "laptimes"
},
{
"id": 4,
"type": "column",
"value": "raceid"
},
{
"id": 2,
"type": "table",
"value": "races"
},
{
"id": 3,
"type": "column",
"value": "time"
},
{
"id": 5,
"type": "column",
"value": "name"
},
{
"id": 7,
"type": "column",
"value": "lap"
},
{
"id": 8,
"type": "value",
"value": "3"
}
] |
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{
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] |
[
"O",
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"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-COLUMN",
"O"
] |
2,793
|
public_review_platform
|
bird:train.json:4096
|
How many user's compliment in photo has medium in number?
|
SELECT COUNT(T2.user_id) FROM Compliments AS T1 INNER JOIN Users_Compliments AS T2 ON T1.compliment_id = T2.compliment_id WHERE T1.compliment_type = 'photos' AND T2.number_of_compliments = 'Medium'
|
[
"How",
"many",
"user",
"'s",
"compliment",
"in",
"photo",
"has",
"medium",
"in",
"number",
"?"
] |
[
{
"id": 6,
"type": "column",
"value": "number_of_compliments"
},
{
"id": 1,
"type": "table",
"value": "users_compliments"
},
{
"id": 4,
"type": "column",
"value": "compliment_type"
},
{
"id": 3,
"type": "column",
"value": "compliment_id"
},
{
"id": 0,
"type": "table",
"value": "compliments"
},
{
"id": 2,
"type": "column",
"value": "user_id"
},
{
"id": 5,
"type": "value",
"value": "photos"
},
{
"id": 7,
"type": "value",
"value": "Medium"
}
] |
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{
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] |
[
"O",
"O",
"B-COLUMN",
"B-TABLE",
"B-TABLE",
"O",
"B-VALUE",
"O",
"B-VALUE",
"O",
"O",
"O"
] |
2,794
|
retail_world
|
bird:train.json:6459
|
Is (206) 555-1189 the home phone number for Laura Callahan?
|
SELECT CASE WHEN HomePhone = '(206) 555-1189' THEN 'YES' ELSE 'NO' END FROM Employees WHERE FirstName = 'Laura' AND LastName = 'Callahan'
|
[
"Is",
"(",
"206",
")",
"555",
"-",
"1189",
"the",
"home",
"phone",
"number",
"for",
"Laura",
"Callahan",
"?"
] |
[
{
"id": 8,
"type": "value",
"value": "(206) 555-1189"
},
{
"id": 0,
"type": "table",
"value": "employees"
},
{
"id": 2,
"type": "column",
"value": "firstname"
},
{
"id": 7,
"type": "column",
"value": "homephone"
},
{
"id": 4,
"type": "column",
"value": "lastname"
},
{
"id": 5,
"type": "value",
"value": "Callahan"
},
{
"id": 3,
"type": "value",
"value": "Laura"
},
{
"id": 6,
"type": "value",
"value": "YES"
},
{
"id": 1,
"type": "value",
"value": "NO"
}
] |
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{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
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"I-VALUE",
"I-VALUE",
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"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"B-VALUE",
"B-VALUE",
"O"
] |
2,795
|
world_development_indicators
|
bird:train.json:2213
|
How many countries are having their country's footnotes described as "unspecified"? Please provide the full names of any three of those countries.
|
SELECT COUNT(DISTINCT T1.CountryCode) FROM Country AS T1 INNER JOIN Footnotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T2.Description = 'Unspecified' OR T2.Description = 'Not specified' UNION SELECT T1.LongName FROM Country AS T1 INNER JOIN Footnotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T2.Description = 'Unspecified' OR T2.Description = 'Not specified' LIMIT 4
|
[
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"having",
"their",
"country",
"'s",
"footnotes",
"described",
"as",
"\"",
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"Please",
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"full",
"names",
"of",
"any",
"three",
"of",
"those",
"countries",
"."
] |
[
{
"id": 6,
"type": "value",
"value": "Not specified"
},
{
"id": 3,
"type": "column",
"value": "countrycode"
},
{
"id": 4,
"type": "column",
"value": "description"
},
{
"id": 5,
"type": "value",
"value": "Unspecified"
},
{
"id": 1,
"type": "table",
"value": "footnotes"
},
{
"id": 2,
"type": "column",
"value": "longname"
},
{
"id": 0,
"type": "table",
"value": "country"
}
] |
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19
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{
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9
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{
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{
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{
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"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"O",
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"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
2,796
|
works_cycles
|
bird:train.json:7303
|
Please list the products that are out of stock and purchased in house.
|
SELECT T2.Name FROM ProductVendor AS T1 INNER JOIN Product AS T2 ON T1.ProductID = T2.ProductID WHERE T2.MakeFlag = 0 AND (T1.OnOrderQty IS NULL OR T1.OnOrderQty = 0)
|
[
"Please",
"list",
"the",
"products",
"that",
"are",
"out",
"of",
"stock",
"and",
"purchased",
"in",
"house",
"."
] |
[
{
"id": 1,
"type": "table",
"value": "productvendor"
},
{
"id": 6,
"type": "column",
"value": "onorderqty"
},
{
"id": 3,
"type": "column",
"value": "productid"
},
{
"id": 4,
"type": "column",
"value": "makeflag"
},
{
"id": 2,
"type": "table",
"value": "product"
},
{
"id": 0,
"type": "column",
"value": "name"
},
{
"id": 5,
"type": "value",
"value": "0"
}
] |
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3
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{
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{
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{
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},
{
"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",
"O",
"O"
] |
2,797
|
perpetrator
|
spider:train_spider.json:2305
|
List the number of people injured by perpetrators in ascending order.
|
SELECT Injured FROM perpetrator ORDER BY Injured ASC
|
[
"List",
"the",
"number",
"of",
"people",
"injured",
"by",
"perpetrators",
"in",
"ascending",
"order",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "perpetrator"
},
{
"id": 1,
"type": "column",
"value": "injured"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
7
]
},
{
"entity_id": 1,
"token_idxs": [
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",
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"O",
"O",
"O"
] |
2,798
|
video_games
|
bird:train.json:3336
|
How many more sports games than simulation games?
|
SELECT COUNT(CASE WHEN T1.genre_name = 'Sports' THEN T2.id ELSE NULL END) - COUNT(CASE WHEN T1.genre_name = 'Simulation' THEN T2.id ELSE NULL END) FROM genre AS T1 INNER JOIN game AS T2 ON T1.id = T2.genre_id
|
[
"How",
"many",
"more",
"sports",
"games",
"than",
"simulation",
"games",
"?"
] |
[
{
"id": 4,
"type": "column",
"value": "genre_name"
},
{
"id": 6,
"type": "value",
"value": "Simulation"
},
{
"id": 3,
"type": "column",
"value": "genre_id"
},
{
"id": 5,
"type": "value",
"value": "Sports"
},
{
"id": 0,
"type": "table",
"value": "genre"
},
{
"id": 1,
"type": "table",
"value": "game"
},
{
"id": 2,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"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": [
3
]
},
{
"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",
"O",
"B-VALUE",
"B-TABLE",
"O",
"B-VALUE",
"O",
"O"
] |
2,799
|
works_cycles
|
bird:train.json:7087
|
Lists all companies by BusinessEntityID that increased their current year sales by more than 60% over last year's sales and have a bonus greater than 3,000.
|
SELECT BusinessEntityID FROM SalesPerson WHERE SalesYTD > SalesLastYear + SalesLastyear * 0.6 AND Bonus > 3000
|
[
"Lists",
"all",
"companies",
"by",
"BusinessEntityID",
"that",
"increased",
"their",
"current",
"year",
"sales",
"by",
"more",
"than",
"60",
"%",
"over",
"last",
"year",
"'s",
"sales",
"and",
"have",
"a",
"bonus",
"greater",
"than",
"3,000",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "businessentityid"
},
{
"id": 5,
"type": "column",
"value": "saleslastyear"
},
{
"id": 0,
"type": "table",
"value": "salesperson"
},
{
"id": 2,
"type": "column",
"value": "salesytd"
},
{
"id": 3,
"type": "column",
"value": "bonus"
},
{
"id": 4,
"type": "value",
"value": "3000"
},
{
"id": 6,
"type": "value",
"value": "0.6"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
4
]
},
{
"entity_id": 2,
"token_idxs": [
20
]
},
{
"entity_id": 3,
"token_idxs": [
24
]
},
{
"entity_id": 4,
"token_idxs": [
27
]
},
{
"entity_id": 5,
"token_idxs": [
17,
18
]
},
{
"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",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-VALUE",
"O"
] |
2,800
|
allergy_1
|
spider:train_spider.json:527
|
List the first and last name of the students who do not have any food type allergy.
|
SELECT fname , lname FROM Student WHERE StuID NOT IN (SELECT T1.StuID FROM Has_allergy AS T1 JOIN Allergy_Type AS T2 ON T1.Allergy = T2.Allergy WHERE T2.allergytype = "food")
|
[
"List",
"the",
"first",
"and",
"last",
"name",
"of",
"the",
"students",
"who",
"do",
"not",
"have",
"any",
"food",
"type",
"allergy",
"."
] |
[
{
"id": 5,
"type": "table",
"value": "allergy_type"
},
{
"id": 4,
"type": "table",
"value": "has_allergy"
},
{
"id": 6,
"type": "column",
"value": "allergytype"
},
{
"id": 0,
"type": "table",
"value": "student"
},
{
"id": 8,
"type": "column",
"value": "allergy"
},
{
"id": 1,
"type": "column",
"value": "fname"
},
{
"id": 2,
"type": "column",
"value": "lname"
},
{
"id": 3,
"type": "column",
"value": "stuid"
},
{
"id": 7,
"type": "column",
"value": "food"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
5
]
},
{
"entity_id": 3,
"token_idxs": [
8
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": [
14
]
},
{
"entity_id": 8,
"token_idxs": [
16
]
},
{
"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-COLUMN",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"O"
] |
2,801
|
superstore
|
bird:train.json:2348
|
How many orders has Aimee Bixby made?
|
SELECT COUNT(DISTINCT T2.`Order ID`) FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.`Customer Name` = 'Aimee Bixby'
|
[
"How",
"many",
"orders",
"has",
"Aimee",
"Bixby",
"made",
"?"
] |
[
{
"id": 1,
"type": "table",
"value": "central_superstore"
},
{
"id": 2,
"type": "column",
"value": "Customer Name"
},
{
"id": 3,
"type": "value",
"value": "Aimee Bixby"
},
{
"id": 5,
"type": "column",
"value": "Customer ID"
},
{
"id": 4,
"type": "column",
"value": "Order ID"
},
{
"id": 0,
"type": "table",
"value": "people"
}
] |
[
{
"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"
] |
2,802
|
student_assessment
|
spider:train_spider.json:104
|
What are all details of the students who registered but did not attend any course?
|
SELECT * FROM student_course_registrations WHERE student_id NOT IN (SELECT student_id FROM student_course_attendance)
|
[
"What",
"are",
"all",
"details",
"of",
"the",
"students",
"who",
"registered",
"but",
"did",
"not",
"attend",
"any",
"course",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "student_course_registrations"
},
{
"id": 2,
"type": "table",
"value": "student_course_attendance"
},
{
"id": 1,
"type": "column",
"value": "student_id"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
7,
8
]
},
{
"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",
"B-TABLE",
"I-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
2,804
|
department_store
|
spider:train_spider.json:4767
|
Return the ids of all products that were ordered more than three times or supplied more than 80000.
|
SELECT product_id FROM Order_Items GROUP BY product_id HAVING count(*) > 3 UNION SELECT product_id FROM Product_Suppliers GROUP BY product_id HAVING sum(total_amount_purchased) > 80000
|
[
"Return",
"the",
"ids",
"of",
"all",
"products",
"that",
"were",
"ordered",
"more",
"than",
"three",
"times",
"or",
"supplied",
"more",
"than",
"80000",
"."
] |
[
{
"id": 5,
"type": "column",
"value": "total_amount_purchased"
},
{
"id": 2,
"type": "table",
"value": "product_suppliers"
},
{
"id": 0,
"type": "table",
"value": "order_items"
},
{
"id": 1,
"type": "column",
"value": "product_id"
},
{
"id": 4,
"type": "value",
"value": "80000"
},
{
"id": 3,
"type": "value",
"value": "3"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
8
]
},
{
"entity_id": 1,
"token_idxs": [
5
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
17
]
},
{
"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-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"O"
] |
2,805
|
pilot_1
|
bird:test.json:1177
|
Find the number of all pilots whose age is older than some pilot who has plane Piper Cub.
|
SELECT count(pilot_name) FROM pilotskills WHERE age > (SELECT min(age) FROM pilotskills WHERE plane_name = 'Piper Cub')
|
[
"Find",
"the",
"number",
"of",
"all",
"pilots",
"whose",
"age",
"is",
"older",
"than",
"some",
"pilot",
"who",
"has",
"plane",
"Piper",
"Cub",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "pilotskills"
},
{
"id": 2,
"type": "column",
"value": "pilot_name"
},
{
"id": 3,
"type": "column",
"value": "plane_name"
},
{
"id": 4,
"type": "value",
"value": "Piper Cub"
},
{
"id": 1,
"type": "column",
"value": "age"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
5
]
},
{
"entity_id": 1,
"token_idxs": [
7
]
},
{
"entity_id": 2,
"token_idxs": [
12
]
},
{
"entity_id": 3,
"token_idxs": [
15
]
},
{
"entity_id": 4,
"token_idxs": [
16,
17
]
},
{
"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",
"B-COLUMN",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"B-VALUE",
"I-VALUE",
"O"
] |
2,806
|
decoration_competition
|
spider:train_spider.json:4490
|
Which countries have more than two members?
|
SELECT Country FROM member GROUP BY Country HAVING COUNT(*) > 2
|
[
"Which",
"countries",
"have",
"more",
"than",
"two",
"members",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "country"
},
{
"id": 0,
"type": "table",
"value": "member"
},
{
"id": 2,
"type": "value",
"value": "2"
}
] |
[
{
"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"
] |
2,807
|
address
|
bird:train.json:5146
|
How many zip codes are under Barre, VT?
|
SELECT COUNT(T2.zip_code) FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T1.CBSA_name = 'Barre, VT'
|
[
"How",
"many",
"zip",
"codes",
"are",
"under",
"Barre",
",",
"VT",
"?"
] |
[
{
"id": 2,
"type": "column",
"value": "cbsa_name"
},
{
"id": 3,
"type": "value",
"value": "Barre, VT"
},
{
"id": 1,
"type": "table",
"value": "zip_data"
},
{
"id": 4,
"type": "column",
"value": "zip_code"
},
{
"id": 0,
"type": "table",
"value": "cbsa"
},
{
"id": 5,
"type": "column",
"value": "cbsa"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
6,
7,
8
]
},
{
"entity_id": 4,
"token_idxs": [
2,
3
]
},
{
"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",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"O"
] |
2,808
|
cre_Doc_and_collections
|
bird:test.json:669
|
List document id of all documents.
|
SELECT Document_Object_ID FROM Document_Objects;
|
[
"List",
"document",
"i",
"d",
"of",
"all",
"documents",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "document_object_id"
},
{
"id": 0,
"type": "table",
"value": "document_objects"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
6
]
},
{
"entity_id": 1,
"token_idxs": [
1,
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-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O",
"O",
"B-TABLE",
"O"
] |
2,809
|
cre_Drama_Workshop_Groups
|
spider:train_spider.json:5158
|
Show all cities where at least one customer lives in but no performer lives in.
|
SELECT T1.City_Town FROM Addresses AS T1 JOIN Customers AS T2 ON T1.Address_ID = T2.Address_ID EXCEPT SELECT T1.City_Town FROM Addresses AS T1 JOIN Performers AS T2 ON T1.Address_ID = T2.Address_ID
|
[
"Show",
"all",
"cities",
"where",
"at",
"least",
"one",
"customer",
"lives",
"in",
"but",
"no",
"performer",
"lives",
"in",
"."
] |
[
{
"id": 3,
"type": "table",
"value": "performers"
},
{
"id": 4,
"type": "column",
"value": "address_id"
},
{
"id": 0,
"type": "column",
"value": "city_town"
},
{
"id": 1,
"type": "table",
"value": "addresses"
},
{
"id": 2,
"type": "table",
"value": "customers"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
7
]
},
{
"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",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O"
] |
2,810
|
cre_Drama_Workshop_Groups
|
spider:train_spider.json:5099
|
Find the phone number and email address of customer "Harold".
|
SELECT Customer_Phone , Customer_Email_Address FROM CUSTOMERS WHERE Customer_Name = "Harold"
|
[
"Find",
"the",
"phone",
"number",
"and",
"email",
"address",
"of",
"customer",
"\"",
"Harold",
"\"",
"."
] |
[
{
"id": 2,
"type": "column",
"value": "customer_email_address"
},
{
"id": 1,
"type": "column",
"value": "customer_phone"
},
{
"id": 3,
"type": "column",
"value": "customer_name"
},
{
"id": 0,
"type": "table",
"value": "customers"
},
{
"id": 4,
"type": "column",
"value": "Harold"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
8
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
3,
4,
5,
6
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
10
]
},
{
"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",
"I-COLUMN",
"I-COLUMN",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"O",
"O"
] |
2,811
|
college_1
|
spider:train_spider.json:3234
|
How many courses does the department of Computer Information Systmes offer?
|
SELECT count(*) FROM department AS T1 JOIN course AS T2 ON T1.dept_code = T2.dept_code WHERE dept_name = "Computer Info. Systems"
|
[
"How",
"many",
"courses",
"does",
"the",
"department",
"of",
"Computer",
"Information",
"Systmes",
"offer",
"?"
] |
[
{
"id": 3,
"type": "column",
"value": "Computer Info. Systems"
},
{
"id": 0,
"type": "table",
"value": "department"
},
{
"id": 2,
"type": "column",
"value": "dept_name"
},
{
"id": 4,
"type": "column",
"value": "dept_code"
},
{
"id": 1,
"type": "table",
"value": "course"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
2
]
},
{
"entity_id": 2,
"token_idxs": [
5
]
},
{
"entity_id": 3,
"token_idxs": [
7,
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": []
},
{
"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",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O",
"O"
] |
2,812
|
human_resources
|
bird:train.json:8985
|
Among the employees with poor performance, provide the managers' full names, location city, address and its zip code.
|
SELECT T1.firstname, T1.lastname, T2.locationcity, T2.address, T2.zipcode FROM employee AS T1 INNER JOIN location AS T2 ON T1.locationID = T2.locationID INNER JOIN position AS T3 ON T3.positionID = T1.positionID WHERE T3.positiontitle = 'Manager' AND T1.performance = 'Poor'
|
[
"Among",
"the",
"employees",
"with",
"poor",
"performance",
",",
"provide",
"the",
"managers",
"'",
"full",
"names",
",",
"location",
"city",
",",
"address",
"and",
"its",
"zip",
"code",
"."
] |
[
{
"id": 9,
"type": "column",
"value": "positiontitle"
},
{
"id": 2,
"type": "column",
"value": "locationcity"
},
{
"id": 11,
"type": "column",
"value": "performance"
},
{
"id": 8,
"type": "column",
"value": "positionid"
},
{
"id": 13,
"type": "column",
"value": "locationid"
},
{
"id": 0,
"type": "column",
"value": "firstname"
},
{
"id": 1,
"type": "column",
"value": "lastname"
},
{
"id": 5,
"type": "table",
"value": "position"
},
{
"id": 6,
"type": "table",
"value": "employee"
},
{
"id": 7,
"type": "table",
"value": "location"
},
{
"id": 3,
"type": "column",
"value": "address"
},
{
"id": 4,
"type": "column",
"value": "zipcode"
},
{
"id": 10,
"type": "value",
"value": "Manager"
},
{
"id": 12,
"type": "value",
"value": "Poor"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
12
]
},
{
"entity_id": 2,
"token_idxs": [
15
]
},
{
"entity_id": 3,
"token_idxs": [
17
]
},
{
"entity_id": 4,
"token_idxs": [
20,
21
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": [
2
]
},
{
"entity_id": 7,
"token_idxs": [
14
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": [
9
]
},
{
"entity_id": 11,
"token_idxs": [
5
]
},
{
"entity_id": 12,
"token_idxs": [
4
]
},
{
"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",
"B-COLUMN",
"O",
"O",
"O",
"B-VALUE",
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O"
] |
2,813
|
climbing
|
spider:train_spider.json:1139
|
How many climbers are from each country?
|
SELECT Country , COUNT(*) FROM climber GROUP BY Country
|
[
"How",
"many",
"climbers",
"are",
"from",
"each",
"country",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "climber"
},
{
"id": 1,
"type": "column",
"value": "country"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"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",
"B-TABLE",
"O",
"O",
"O",
"B-COLUMN",
"O"
] |
2,814
|
retails
|
bird:train.json:6871
|
What is the name of the supplier that provides the part "hot spring dodger dim light" with the lowest supply cost?
|
SELECT T2.s_name FROM partsupp AS T1 INNER JOIN supplier AS T2 ON T1.ps_suppkey = T2.s_suppkey INNER JOIN part AS T3 ON T1.ps_partkey = T3.p_partkey WHERE T3.p_name = 'hot spring dodger dim light' ORDER BY T1.ps_supplycost LIMIT 1
|
[
"What",
"is",
"the",
"name",
"of",
"the",
"supplier",
"that",
"provides",
"the",
"part",
"\"",
"hot",
"spring",
"dodger",
"dim",
"light",
"\"",
"with",
"the",
"lowest",
"supply",
"cost",
"?"
] |
[
{
"id": 3,
"type": "value",
"value": "hot spring dodger dim light"
},
{
"id": 4,
"type": "column",
"value": "ps_supplycost"
},
{
"id": 7,
"type": "column",
"value": "ps_partkey"
},
{
"id": 9,
"type": "column",
"value": "ps_suppkey"
},
{
"id": 8,
"type": "column",
"value": "p_partkey"
},
{
"id": 10,
"type": "column",
"value": "s_suppkey"
},
{
"id": 5,
"type": "table",
"value": "partsupp"
},
{
"id": 6,
"type": "table",
"value": "supplier"
},
{
"id": 0,
"type": "column",
"value": "s_name"
},
{
"id": 2,
"type": "column",
"value": "p_name"
},
{
"id": 1,
"type": "table",
"value": "part"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
10
]
},
{
"entity_id": 2,
"token_idxs": [
3
]
},
{
"entity_id": 3,
"token_idxs": [
12,
13,
14,
15,
16
]
},
{
"entity_id": 4,
"token_idxs": [
22
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": [
6
]
},
{
"entity_id": 7,
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},
{
"entity_id": 8,
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},
{
"entity_id": 9,
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},
{
"entity_id": 10,
"token_idxs": [
21
]
},
{
"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",
"O",
"B-TABLE",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"O",
"O",
"O",
"O",
"B-COLUMN",
"B-COLUMN",
"O"
] |
2,815
|
party_people
|
spider:train_spider.json:2074
|
What are the names of members who are not in charge of any events?
|
SELECT member_name FROM member EXCEPT SELECT T1.member_name FROM member AS T1 JOIN party_events AS T2 ON T1.member_id = T2.member_in_charge_id
|
[
"What",
"are",
"the",
"names",
"of",
"members",
"who",
"are",
"not",
"in",
"charge",
"of",
"any",
"events",
"?"
] |
[
{
"id": 4,
"type": "column",
"value": "member_in_charge_id"
},
{
"id": 2,
"type": "table",
"value": "party_events"
},
{
"id": 1,
"type": "column",
"value": "member_name"
},
{
"id": 3,
"type": "column",
"value": "member_id"
},
{
"id": 0,
"type": "table",
"value": "member"
}
] |
[
{
"entity_id": 0,
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5
]
},
{
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},
{
"entity_id": 2,
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12,
13
]
},
{
"entity_id": 3,
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},
{
"entity_id": 4,
"token_idxs": [
6,
7
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
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},
{
"entity_id": 8,
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},
{
"entity_id": 9,
"token_idxs": []
},
{
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},
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},
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},
{
"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-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"O",
"B-TABLE",
"I-TABLE",
"O"
] |
2,816
|
network_2
|
spider:train_spider.json:4483
|
What are the names of all of Alice's friends of friends?
|
SELECT DISTINCT T4.name FROM PersonFriend AS T1 JOIN Person AS T2 ON T1.name = T2.name JOIN PersonFriend AS T3 ON T1.friend = T3.name JOIN PersonFriend AS T4 ON T3.friend = T4.name WHERE T2.name = 'Alice' AND T4.name != 'Alice'
|
[
"What",
"are",
"the",
"names",
"of",
"all",
"of",
"Alice",
"'s",
"friends",
"of",
"friends",
"?"
] |
[
{
"id": 1,
"type": "table",
"value": "personfriend"
},
{
"id": 2,
"type": "column",
"value": "friend"
},
{
"id": 4,
"type": "table",
"value": "person"
},
{
"id": 3,
"type": "value",
"value": "Alice"
},
{
"id": 0,
"type": "column",
"value": "name"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": [
8
]
},
{
"entity_id": 2,
"token_idxs": [
9
]
},
{
"entity_id": 3,
"token_idxs": [
7
]
},
{
"entity_id": 4,
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},
{
"entity_id": 5,
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},
{
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},
{
"entity_id": 7,
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},
{
"entity_id": 8,
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},
{
"entity_id": 9,
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},
{
"entity_id": 10,
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},
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},
{
"entity_id": 12,
"token_idxs": []
},
{
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"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-VALUE",
"B-TABLE",
"B-COLUMN",
"O",
"O",
"O"
] |
2,817
|
european_football_2
|
bird:dev.json:1026
|
Which home team had lost the fewest matches in the 2016 season?
|
SELECT teamDetails.team_long_name FROM Match AS matchData INNER JOIN Team AS teamDetails ON matchData.home_team_api_id = teamDetails.team_api_id WHERE matchData.season = '2015/2016' AND matchData.home_team_goal - matchData.away_team_goal < 0 GROUP BY matchData.home_team_api_id ORDER BY COUNT(*) ASC LIMIT 1
|
[
"Which",
"home",
"team",
"had",
"lost",
"the",
"fewest",
"matches",
"in",
"the",
"2016",
"season",
"?"
] |
[
{
"id": 0,
"type": "column",
"value": "home_team_api_id"
},
{
"id": 1,
"type": "column",
"value": "team_long_name"
},
{
"id": 8,
"type": "column",
"value": "home_team_goal"
},
{
"id": 9,
"type": "column",
"value": "away_team_goal"
},
{
"id": 4,
"type": "column",
"value": "team_api_id"
},
{
"id": 6,
"type": "value",
"value": "2015/2016"
},
{
"id": 5,
"type": "column",
"value": "season"
},
{
"id": 2,
"type": "table",
"value": "match"
},
{
"id": 3,
"type": "table",
"value": "team"
},
{
"id": 7,
"type": "value",
"value": "0"
}
] |
[
{
"entity_id": 0,
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},
{
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},
{
"entity_id": 2,
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7
]
},
{
"entity_id": 3,
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2
]
},
{
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3
]
},
{
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11
]
},
{
"entity_id": 6,
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10
]
},
{
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},
{
"entity_id": 8,
"token_idxs": [
1
]
},
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"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",
"B-TABLE",
"B-COLUMN",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-VALUE",
"B-COLUMN",
"O"
] |
2,818
|
food_inspection
|
bird:train.json:8810
|
In 2016, which city has the highest number of establishments with the highest health and safety hazards?
|
SELECT T2.city FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE STRFTIME('%Y', T1.`date`) = '2016' AND T1.risk_category = 'High Risk' GROUP BY T2.city ORDER BY COUNT(T2.city) DESC LIMIT 1
|
[
"In",
"2016",
",",
"which",
"city",
"has",
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"highest",
"number",
"of",
"establishments",
"with",
"the",
"highest",
"health",
"and",
"safety",
"hazards",
"?"
] |
[
{
"id": 5,
"type": "column",
"value": "risk_category"
},
{
"id": 3,
"type": "column",
"value": "business_id"
},
{
"id": 1,
"type": "table",
"value": "violations"
},
{
"id": 2,
"type": "table",
"value": "businesses"
},
{
"id": 6,
"type": "value",
"value": "High Risk"
},
{
"id": 0,
"type": "column",
"value": "city"
},
{
"id": 4,
"type": "value",
"value": "2016"
},
{
"id": 8,
"type": "column",
"value": "date"
},
{
"id": 7,
"type": "value",
"value": "%Y"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
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},
{
"entity_id": 2,
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},
{
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{
"entity_id": 4,
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1
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},
{
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{
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7
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},
{
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},
{
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},
{
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{
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},
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"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
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{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
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{
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},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-VALUE",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
2,819
|
flight_1
|
spider:train_spider.json:360
|
What are the names of all aircrafts that can cover more distances than average?
|
SELECT name FROM Aircraft WHERE distance > (SELECT avg(distance) FROM Aircraft)
|
[
"What",
"are",
"the",
"names",
"of",
"all",
"aircrafts",
"that",
"can",
"cover",
"more",
"distances",
"than",
"average",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "aircraft"
},
{
"id": 2,
"type": "column",
"value": "distance"
},
{
"id": 1,
"type": "column",
"value": "name"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
6
]
},
{
"entity_id": 1,
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3
]
},
{
"entity_id": 2,
"token_idxs": [
11
]
},
{
"entity_id": 3,
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},
{
"entity_id": 4,
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},
{
"entity_id": 5,
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},
{
"entity_id": 6,
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},
{
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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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},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
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},
{
"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",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O"
] |
2,820
|
hr_1
|
spider:train_spider.json:3481
|
get the details of employees who manage a department.
|
SELECT DISTINCT * FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id WHERE T1.employee_id = T2.manager_id
|
[
"get",
"the",
"details",
"of",
"employees",
"who",
"manage",
"a",
"department",
"."
] |
[
{
"id": 4,
"type": "column",
"value": "department_id"
},
{
"id": 1,
"type": "table",
"value": "departments"
},
{
"id": 2,
"type": "column",
"value": "employee_id"
},
{
"id": 3,
"type": "column",
"value": "manager_id"
},
{
"id": 0,
"type": "table",
"value": "employees"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
"token_idxs": [
8
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
6
]
},
{
"entity_id": 4,
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},
{
"entity_id": 5,
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},
{
"entity_id": 6,
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},
{
"entity_id": 7,
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},
{
"entity_id": 8,
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},
{
"entity_id": 9,
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},
{
"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",
"B-COLUMN",
"O",
"B-TABLE",
"O"
] |
2,821
|
regional_sales
|
bird:train.json:2683
|
List all the cities where Shawn Torres sells Audio products.
|
SELECT T FROM ( SELECT DISTINCT CASE WHEN T4.`Product Name` = 'Audio' AND T3.`Sales Team` = 'Shawn Torres' THEN T1.`City Name` ELSE NULL END AS T FROM `Store Locations` T1 INNER JOIN `Sales Orders` T2 ON T2._StoreID = T1.StoreID INNER JOIN `Sales Team` T3 ON T3.SalesTeamID = T2._SalesTeamID INNER JOIN Products T4 ON T4.ProductID = T2._ProductID ) WHERE T IS NOT NULL
|
[
"List",
"all",
"the",
"cities",
"where",
"Shawn",
"Torres",
"sells",
"Audio",
"products",
"."
] |
[
{
"id": 6,
"type": "table",
"value": "Store Locations"
},
{
"id": 7,
"type": "table",
"value": "Sales Orders"
},
{
"id": 9,
"type": "column",
"value": "_salesteamid"
},
{
"id": 12,
"type": "column",
"value": "Product Name"
},
{
"id": 15,
"type": "value",
"value": "Shawn Torres"
},
{
"id": 8,
"type": "column",
"value": "salesteamid"
},
{
"id": 2,
"type": "table",
"value": "Sales Team"
},
{
"id": 4,
"type": "column",
"value": "_productid"
},
{
"id": 14,
"type": "column",
"value": "Sales Team"
},
{
"id": 3,
"type": "column",
"value": "productid"
},
{
"id": 5,
"type": "column",
"value": "City Name"
},
{
"id": 1,
"type": "table",
"value": "products"
},
{
"id": 10,
"type": "column",
"value": "_storeid"
},
{
"id": 11,
"type": "column",
"value": "storeid"
},
{
"id": 13,
"type": "value",
"value": "Audio"
},
{
"id": 0,
"type": "column",
"value": "t"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
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9
]
},
{
"entity_id": 2,
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},
{
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{
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{
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6
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{
"entity_id": 12,
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},
{
"entity_id": 13,
"token_idxs": [
8
]
},
{
"entity_id": 14,
"token_idxs": [
1,
2
]
},
{
"entity_id": 15,
"token_idxs": [
5
]
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"B-VALUE",
"B-COLUMN",
"O",
"B-VALUE",
"B-TABLE",
"O"
] |
2,822
|
mondial_geo
|
bird:train.json:8306
|
Among the countries with a GDP of over 1000000, how many of them have mountains higher than 1000?
|
SELECT COUNT(DISTINCT T1.Name) FROM country AS T1 INNER JOIN geo_mountain AS T2 ON T1.Code = T2.Country INNER JOIN economy AS T3 ON T3.Country = T1.Code INNER JOIN mountain AS T4 ON T4.Name = T2.Mountain WHERE T3.GDP > 1000000 AND T4.Height > 1000
|
[
"Among",
"the",
"countries",
"with",
"a",
"GDP",
"of",
"over",
"1000000",
",",
"how",
"many",
"of",
"them",
"have",
"mountains",
"higher",
"than",
"1000",
"?"
] |
[
{
"id": 9,
"type": "table",
"value": "geo_mountain"
},
{
"id": 0,
"type": "table",
"value": "mountain"
},
{
"id": 3,
"type": "column",
"value": "mountain"
},
{
"id": 2,
"type": "table",
"value": "economy"
},
{
"id": 5,
"type": "value",
"value": "1000000"
},
{
"id": 8,
"type": "table",
"value": "country"
},
{
"id": 10,
"type": "column",
"value": "country"
},
{
"id": 6,
"type": "column",
"value": "height"
},
{
"id": 1,
"type": "column",
"value": "name"
},
{
"id": 7,
"type": "value",
"value": "1000"
},
{
"id": 11,
"type": "column",
"value": "code"
},
{
"id": 4,
"type": "column",
"value": "gdp"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
15
]
},
{
"entity_id": 4,
"token_idxs": [
5
]
},
{
"entity_id": 5,
"token_idxs": [
8
]
},
{
"entity_id": 6,
"token_idxs": [
16
]
},
{
"entity_id": 7,
"token_idxs": [
18
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": [
2
]
},
{
"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",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"B-COLUMN",
"O",
"B-VALUE",
"O"
] |
2,823
|
local_govt_and_lot
|
spider:train_spider.json:4858
|
How many customers did not have any event?
|
SELECT count(*) FROM customers WHERE customer_id NOT IN ( SELECT customer_id FROM customer_events )
|
[
"How",
"many",
"customers",
"did",
"not",
"have",
"any",
"event",
"?"
] |
[
{
"id": 2,
"type": "table",
"value": "customer_events"
},
{
"id": 1,
"type": "column",
"value": "customer_id"
},
{
"id": 0,
"type": "table",
"value": "customers"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"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",
"B-TABLE",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O"
] |
2,824
|
entrepreneur
|
spider:train_spider.json:2290
|
Return the investor who have invested in the greatest number of entrepreneurs.
|
SELECT Investor FROM entrepreneur GROUP BY Investor ORDER BY COUNT(*) DESC LIMIT 1
|
[
"Return",
"the",
"investor",
"who",
"have",
"invested",
"in",
"the",
"greatest",
"number",
"of",
"entrepreneurs",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "entrepreneur"
},
{
"id": 1,
"type": "column",
"value": "investor"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
11
]
},
{
"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",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
2,825
|
music_platform_2
|
bird:train.json:7922
|
Name all the categories for podcast titled 'I Heart My Life Show'.
|
SELECT T1.category FROM categories AS T1 INNER JOIN podcasts AS T2 ON T2.podcast_id = T1.podcast_id WHERE T2.title = 'I Heart My Life Show'
|
[
"Name",
"all",
"the",
"categories",
"for",
"podcast",
"titled",
"'",
"I",
"Heart",
"My",
"Life",
"Show",
"'",
"."
] |
[
{
"id": 4,
"type": "value",
"value": "I Heart My Life Show"
},
{
"id": 1,
"type": "table",
"value": "categories"
},
{
"id": 5,
"type": "column",
"value": "podcast_id"
},
{
"id": 0,
"type": "column",
"value": "category"
},
{
"id": 2,
"type": "table",
"value": "podcasts"
},
{
"id": 3,
"type": "column",
"value": "title"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
5
]
},
{
"entity_id": 3,
"token_idxs": [
6
]
},
{
"entity_id": 4,
"token_idxs": [
8,
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",
"B-COLUMN",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"O",
"O"
] |
2,826
|
student_loan
|
bird:train.json:4422
|
Which organization does student 313 belong to?
|
SELECT organ FROM enlist WHERE name = 'studenT113'
|
[
"Which",
"organization",
"does",
"student",
"313",
"belong",
"to",
"?"
] |
[
{
"id": 3,
"type": "value",
"value": "studenT113"
},
{
"id": 0,
"type": "table",
"value": "enlist"
},
{
"id": 1,
"type": "column",
"value": "organ"
},
{
"id": 2,
"type": "column",
"value": "name"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
1
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
3,
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-COLUMN",
"O",
"B-VALUE",
"I-VALUE",
"O",
"O",
"O"
] |
2,827
|
toxicology
|
bird:dev.json:230
|
What are the elements of the toxicology and label of molecule TR060?
|
SELECT DISTINCT T1.element, T2.label FROM atom AS T1 INNER JOIN molecule AS T2 ON T1.molecule_id = T2.molecule_id WHERE T2.molecule_id = 'TR060'
|
[
"What",
"are",
"the",
"elements",
"of",
"the",
"toxicology",
"and",
"label",
"of",
"molecule",
"TR060",
"?"
] |
[
{
"id": 4,
"type": "column",
"value": "molecule_id"
},
{
"id": 3,
"type": "table",
"value": "molecule"
},
{
"id": 0,
"type": "column",
"value": "element"
},
{
"id": 1,
"type": "column",
"value": "label"
},
{
"id": 5,
"type": "value",
"value": "TR060"
},
{
"id": 2,
"type": "table",
"value": "atom"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": [
8
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
10
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
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",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"B-VALUE",
"O"
] |
2,828
|
regional_sales
|
bird:train.json:2679
|
What are the top 10 products with the highest net profit?
|
SELECT T2.`Product Name` FROM `Sales Orders` AS T1 INNER JOIN Products AS T2 ON T2.ProductID = T1._ProductID GROUP BY T1._ProductID ORDER BY SUM(REPLACE(T1.`Unit Price`, ',', '') - REPLACE(T1.`Unit Cost`, ',', '')) DESC LIMIT 10
|
[
"What",
"are",
"the",
"top",
"10",
"products",
"with",
"the",
"highest",
"net",
"profit",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "Product Name"
},
{
"id": 2,
"type": "table",
"value": "Sales Orders"
},
{
"id": 0,
"type": "column",
"value": "_productid"
},
{
"id": 5,
"type": "column",
"value": "Unit Price"
},
{
"id": 4,
"type": "column",
"value": "productid"
},
{
"id": 7,
"type": "column",
"value": "Unit Cost"
},
{
"id": 3,
"type": "table",
"value": "products"
},
{
"id": 6,
"type": "value",
"value": ","
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
5
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
9,
10
]
},
{
"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-COLUMN",
"I-COLUMN",
"O"
] |
2,829
|
game_1
|
spider:train_spider.json:5980
|
What type of game is Call of Destiny?
|
SELECT gtype FROM Video_games WHERE gname = "Call of Destiny"
|
[
"What",
"type",
"of",
"game",
"is",
"Call",
"of",
"Destiny",
"?"
] |
[
{
"id": 3,
"type": "column",
"value": "Call of Destiny"
},
{
"id": 0,
"type": "table",
"value": "video_games"
},
{
"id": 1,
"type": "column",
"value": "gtype"
},
{
"id": 2,
"type": "column",
"value": "gname"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
1
]
},
{
"entity_id": 2,
"token_idxs": [
3
]
},
{
"entity_id": 3,
"token_idxs": [
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",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O"
] |
2,830
|
voter_2
|
spider:train_spider.json:5477
|
What are the distinct ages of students who have secretary votes in the fall election cycle?
|
SELECT DISTINCT T1.Age FROM STUDENT AS T1 JOIN VOTING_RECORD AS T2 ON T1.StuID = T2.Secretary_Vote WHERE T2.Election_Cycle = "Fall"
|
[
"What",
"are",
"the",
"distinct",
"ages",
"of",
"students",
"who",
"have",
"secretary",
"votes",
"in",
"the",
"fall",
"election",
"cycle",
"?"
] |
[
{
"id": 3,
"type": "column",
"value": "election_cycle"
},
{
"id": 6,
"type": "column",
"value": "secretary_vote"
},
{
"id": 2,
"type": "table",
"value": "voting_record"
},
{
"id": 1,
"type": "table",
"value": "student"
},
{
"id": 5,
"type": "column",
"value": "stuid"
},
{
"id": 4,
"type": "column",
"value": "Fall"
},
{
"id": 0,
"type": "column",
"value": "age"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
14,
15
]
},
{
"entity_id": 4,
"token_idxs": [
13
]
},
{
"entity_id": 5,
"token_idxs": [
6
]
},
{
"entity_id": 6,
"token_idxs": [
9,
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",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"B-COLUMN",
"B-COLUMN",
"I-COLUMN",
"O"
] |
2,831
|
vehicle_driver
|
bird:test.json:162
|
Return the top speed and power of the vehicle that was built in the year 1996.
|
SELECT top_speed , power FROM vehicle WHERE build_year = 1996
|
[
"Return",
"the",
"top",
"speed",
"and",
"power",
"of",
"the",
"vehicle",
"that",
"was",
"built",
"in",
"the",
"year",
"1996",
"."
] |
[
{
"id": 3,
"type": "column",
"value": "build_year"
},
{
"id": 1,
"type": "column",
"value": "top_speed"
},
{
"id": 0,
"type": "table",
"value": "vehicle"
},
{
"id": 2,
"type": "column",
"value": "power"
},
{
"id": 4,
"type": "value",
"value": "1996"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
8
]
},
{
"entity_id": 1,
"token_idxs": [
2,
3
]
},
{
"entity_id": 2,
"token_idxs": [
5
]
},
{
"entity_id": 3,
"token_idxs": [
11,
12,
13,
14
]
},
{
"entity_id": 4,
"token_idxs": [
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",
"B-COLUMN",
"I-COLUMN",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"I-COLUMN",
"B-VALUE",
"O"
] |
2,832
|
planet_1
|
bird:test.json:1876
|
What are the package contents of all those sent by John Zoidfarb?
|
SELECT T1.Contents FROM PACKAGE AS T1 JOIN Client AS T2 ON T1.Sender = T2.AccountNumber WHERE T2.Name = "John Zoidfarb";
|
[
"What",
"are",
"the",
"package",
"contents",
"of",
"all",
"those",
"sent",
"by",
"John",
"Zoidfarb",
"?"
] |
[
{
"id": 4,
"type": "column",
"value": "John Zoidfarb"
},
{
"id": 6,
"type": "column",
"value": "accountnumber"
},
{
"id": 0,
"type": "column",
"value": "contents"
},
{
"id": 1,
"type": "table",
"value": "package"
},
{
"id": 2,
"type": "table",
"value": "client"
},
{
"id": 5,
"type": "column",
"value": "sender"
},
{
"id": 3,
"type": "column",
"value": "name"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
"token_idxs": [
3
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
10,
11
]
},
{
"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",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"I-COLUMN",
"O"
] |
2,833
|
synthea
|
bird:train.json:1521
|
How many white patients whose birth year is 1935 have a stroke?
|
SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.patient WHERE strftime('%Y', T1.birthdate) = '1935' AND T1.race = 'white' AND T2.DESCRIPTION = 'Stroke'
|
[
"How",
"many",
"white",
"patients",
"whose",
"birth",
"year",
"is",
"1935",
"have",
"a",
"stroke",
"?"
] |
[
{
"id": 6,
"type": "column",
"value": "description"
},
{
"id": 1,
"type": "table",
"value": "conditions"
},
{
"id": 9,
"type": "column",
"value": "birthdate"
},
{
"id": 0,
"type": "table",
"value": "patients"
},
{
"id": 2,
"type": "column",
"value": "patient"
},
{
"id": 7,
"type": "value",
"value": "Stroke"
},
{
"id": 5,
"type": "value",
"value": "white"
},
{
"id": 3,
"type": "value",
"value": "1935"
},
{
"id": 4,
"type": "column",
"value": "race"
},
{
"id": 8,
"type": "value",
"value": "%Y"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
3
]
},
{
"entity_id": 3,
"token_idxs": [
8
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
2
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": [
11
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": [
5
]
},
{
"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",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"O",
"B-VALUE",
"O",
"O",
"B-VALUE",
"O"
] |
2,834
|
hockey
|
bird:train.json:7691
|
For the coach who co-coached with Dave Lewis in 1998, where was his birth place?
|
SELECT T1.birthCountry FROM Master AS T1 INNER JOIN Coaches AS T2 ON T1.coachID = T2.coachID WHERE T2.year = 1998 AND T2.notes = 'co-coach with Dave Lewis'
|
[
"For",
"the",
"coach",
"who",
"co",
"-",
"coached",
"with",
"Dave",
"Lewis",
"in",
"1998",
",",
"where",
"was",
"his",
"birth",
"place",
"?"
] |
[
{
"id": 7,
"type": "value",
"value": "co-coach with Dave Lewis"
},
{
"id": 0,
"type": "column",
"value": "birthcountry"
},
{
"id": 2,
"type": "table",
"value": "coaches"
},
{
"id": 3,
"type": "column",
"value": "coachid"
},
{
"id": 1,
"type": "table",
"value": "master"
},
{
"id": 6,
"type": "column",
"value": "notes"
},
{
"id": 4,
"type": "column",
"value": "year"
},
{
"id": 5,
"type": "value",
"value": "1998"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
16
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
6
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
11
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": [
4,
5,
7,
8,
9
]
},
{
"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",
"I-VALUE",
"I-VALUE",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O"
] |
2,835
|
world
|
bird:train.json:7900
|
What are the official languages used in Greece?
|
SELECT T1.Language FROM CountryLanguage AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code WHERE T1.IsOfficial = 'T' AND T2.name = 'Greece'
|
[
"What",
"are",
"the",
"official",
"languages",
"used",
"in",
"Greece",
"?"
] |
[
{
"id": 1,
"type": "table",
"value": "countrylanguage"
},
{
"id": 3,
"type": "column",
"value": "countrycode"
},
{
"id": 5,
"type": "column",
"value": "isofficial"
},
{
"id": 0,
"type": "column",
"value": "language"
},
{
"id": 2,
"type": "table",
"value": "country"
},
{
"id": 8,
"type": "value",
"value": "Greece"
},
{
"id": 4,
"type": "column",
"value": "code"
},
{
"id": 7,
"type": "column",
"value": "name"
},
{
"id": 6,
"type": "value",
"value": "T"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"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": []
},
{
"entity_id": 8,
"token_idxs": [
7
]
},
{
"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",
"B-VALUE",
"O"
] |
2,836
|
olympics
|
bird:train.json:5030
|
Who is the youngest competitor that participated in 2014 Winter?
|
SELECT T3.full_name FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.games_name = '2014 Winter' ORDER BY T2.age LIMIT 1
|
[
"Who",
"is",
"the",
"youngest",
"competitor",
"that",
"participated",
"in",
"2014",
"Winter",
"?"
] |
[
{
"id": 6,
"type": "table",
"value": "games_competitor"
},
{
"id": 3,
"type": "value",
"value": "2014 Winter"
},
{
"id": 2,
"type": "column",
"value": "games_name"
},
{
"id": 0,
"type": "column",
"value": "full_name"
},
{
"id": 7,
"type": "column",
"value": "person_id"
},
{
"id": 9,
"type": "column",
"value": "games_id"
},
{
"id": 1,
"type": "table",
"value": "person"
},
{
"id": 5,
"type": "table",
"value": "games"
},
{
"id": 4,
"type": "column",
"value": "age"
},
{
"id": 8,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"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": [
4
]
},
{
"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",
"I-VALUE",
"O"
] |
2,837
|
products_for_hire
|
spider:train_spider.json:1970
|
What is the average amount due for all the payments?
|
SELECT avg(amount_due) FROM payments
|
[
"What",
"is",
"the",
"average",
"amount",
"due",
"for",
"all",
"the",
"payments",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "amount_due"
},
{
"id": 0,
"type": "table",
"value": "payments"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
9
]
},
{
"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",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
2,838
|
products_gen_characteristics
|
spider:train_spider.json:5533
|
Count the number of products in the category 'Seeds'.
|
SELECT count(*) FROM products WHERE product_category_code = "Seeds"
|
[
"Count",
"the",
"number",
"of",
"products",
"in",
"the",
"category",
"'",
"Seeds",
"'",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "product_category_code"
},
{
"id": 0,
"type": "table",
"value": "products"
},
{
"id": 2,
"type": "column",
"value": "Seeds"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
"token_idxs": [
5,
6,
7
]
},
{
"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": []
},
{
"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",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O",
"B-COLUMN",
"O",
"O"
] |
2,839
|
student_club
|
bird:dev.json:1399
|
Did Maya Mclean attend the 'Women's Soccer' event?
|
SELECT CASE WHEN T3.event_name = 'Women''s Soccer' THEN 'YES' END AS result FROM member AS T1 INNER JOIN attendance AS T2 ON T1.member_id = T2.link_to_member INNER JOIN event AS T3 ON T2.link_to_event = T3.event_id WHERE T1.first_name = 'Maya' AND T1.last_name = 'Mclean'
|
[
"Did",
"Maya",
"Mclean",
"attend",
"the",
"'",
"Women",
"'s",
"Soccer",
"'",
"event",
"?"
] |
[
{
"id": 11,
"type": "column",
"value": "link_to_member"
},
{
"id": 13,
"type": "value",
"value": "Women's Soccer"
},
{
"id": 3,
"type": "column",
"value": "link_to_event"
},
{
"id": 2,
"type": "table",
"value": "attendance"
},
{
"id": 5,
"type": "column",
"value": "first_name"
},
{
"id": 12,
"type": "column",
"value": "event_name"
},
{
"id": 7,
"type": "column",
"value": "last_name"
},
{
"id": 10,
"type": "column",
"value": "member_id"
},
{
"id": 4,
"type": "column",
"value": "event_id"
},
{
"id": 1,
"type": "table",
"value": "member"
},
{
"id": 8,
"type": "value",
"value": "Mclean"
},
{
"id": 0,
"type": "table",
"value": "event"
},
{
"id": 6,
"type": "value",
"value": "Maya"
},
{
"id": 9,
"type": "value",
"value": "YES"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
10
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
3
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": [
1
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": [
2
]
},
{
"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": [
6,
7,
8
]
},
{
"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",
"B-VALUE",
"B-TABLE",
"O",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"O",
"B-TABLE",
"O"
] |
2,840
|
app_store
|
bird:train.json:2527
|
Which apps have not been updated since year 2015 and what kind of sentiment users hold on it?
|
SELECT DISTINCT App, Sentiment FROM user_reviews WHERE App IN ( SELECT App FROM playstore WHERE CAST(SUBSTR('Last Updated', -4, 4) AS INTEGER) < 2015 )
|
[
"Which",
"apps",
"have",
"not",
"been",
"updated",
"since",
"year",
"2015",
"and",
"what",
"kind",
"of",
"sentiment",
"users",
"hold",
"on",
"it",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "user_reviews"
},
{
"id": 5,
"type": "value",
"value": "Last Updated"
},
{
"id": 2,
"type": "column",
"value": "sentiment"
},
{
"id": 3,
"type": "table",
"value": "playstore"
},
{
"id": 4,
"type": "value",
"value": "2015"
},
{
"id": 1,
"type": "column",
"value": "app"
},
{
"id": 6,
"type": "value",
"value": "-4"
},
{
"id": 7,
"type": "value",
"value": "4"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
14
]
},
{
"entity_id": 1,
"token_idxs": [
1
]
},
{
"entity_id": 2,
"token_idxs": [
13
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
8
]
},
{
"entity_id": 5,
"token_idxs": [
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",
"B-COLUMN",
"O",
"O",
"O",
"B-VALUE",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"B-COLUMN",
"B-TABLE",
"O",
"O",
"O",
"O"
] |
2,841
|
sales_in_weather
|
bird:train.json:8178
|
How many stores are in weather station 12?
|
SELECT SUM(store_nbr) FROM relation WHERE station_nbr = 12
|
[
"How",
"many",
"stores",
"are",
"in",
"weather",
"station",
"12",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "station_nbr"
},
{
"id": 3,
"type": "column",
"value": "store_nbr"
},
{
"id": 0,
"type": "table",
"value": "relation"
},
{
"id": 2,
"type": "value",
"value": "12"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
6
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
7
]
},
{
"entity_id": 3,
"token_idxs": [
2
]
},
{
"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",
"O",
"B-TABLE",
"B-VALUE",
"O"
] |
2,842
|
authors
|
bird:train.json:3591
|
Please list the titles of any two papers that Jundu has written.
|
SELECT T1.Title FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T2.Name LIKE 'Jun du%' LIMIT 2
|
[
"Please",
"list",
"the",
"titles",
"of",
"any",
"two",
"papers",
"that",
"Jundu",
"has",
"written",
"."
] |
[
{
"id": 2,
"type": "table",
"value": "paperauthor"
},
{
"id": 4,
"type": "value",
"value": "Jun du%"
},
{
"id": 6,
"type": "column",
"value": "paperid"
},
{
"id": 0,
"type": "column",
"value": "title"
},
{
"id": 1,
"type": "table",
"value": "paper"
},
{
"id": 3,
"type": "column",
"value": "name"
},
{
"id": 5,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": [
7
]
},
{
"entity_id": 2,
"token_idxs": [
8
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
9
]
},
{
"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",
"B-TABLE",
"B-VALUE",
"O",
"O",
"O"
] |
2,843
|
university
|
bird:train.json:8030
|
What is the university ID with the most students in 2011?
|
SELECT university_id FROM university_year WHERE year = 2011 ORDER BY num_students DESC LIMIT 1
|
[
"What",
"is",
"the",
"university",
"ID",
"with",
"the",
"most",
"students",
"in",
"2011",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "university_year"
},
{
"id": 1,
"type": "column",
"value": "university_id"
},
{
"id": 4,
"type": "column",
"value": "num_students"
},
{
"id": 2,
"type": "column",
"value": "year"
},
{
"id": 3,
"type": "value",
"value": "2011"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
3,
4
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
10
]
},
{
"entity_id": 4,
"token_idxs": [
8
]
},
{
"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",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"O"
] |
2,844
|
music_1
|
spider:train_spider.json:3548
|
How many Bangladeshi artists are listed?
|
SELECT count(*) FROM artist WHERE country = "Bangladesh"
|
[
"How",
"many",
"Bangladeshi",
"artists",
"are",
"listed",
"?"
] |
[
{
"id": 2,
"type": "column",
"value": "Bangladesh"
},
{
"id": 1,
"type": "column",
"value": "country"
},
{
"id": 0,
"type": "table",
"value": "artist"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
2
]
},
{
"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",
"B-TABLE",
"O",
"O",
"O"
] |
2,845
|
public_review_platform
|
bird:train.json:3905
|
Which business in fashion category has the most review?
|
SELECT T3.business_id FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id INNER JOIN Reviews AS T4 ON T3.business_id = T4.business_id WHERE T1.category_name LIKE 'Fashion' AND T1.category_id = 7 GROUP BY T3.business_id ORDER BY COUNT(T4.user_id) DESC LIMIT 1
|
[
"Which",
"business",
"in",
"fashion",
"category",
"has",
"the",
"most",
"review",
"?"
] |
[
{
"id": 9,
"type": "table",
"value": "business_categories"
},
{
"id": 3,
"type": "column",
"value": "category_name"
},
{
"id": 0,
"type": "column",
"value": "business_id"
},
{
"id": 5,
"type": "column",
"value": "category_id"
},
{
"id": 8,
"type": "table",
"value": "categories"
},
{
"id": 2,
"type": "table",
"value": "business"
},
{
"id": 1,
"type": "table",
"value": "reviews"
},
{
"id": 4,
"type": "value",
"value": "Fashion"
},
{
"id": 7,
"type": "column",
"value": "user_id"
},
{
"id": 6,
"type": "value",
"value": "7"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
8
]
},
{
"entity_id": 2,
"token_idxs": [
1
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
3
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": [
4
]
},
{
"entity_id": 9,
"token_idxs": [
2
]
},
{
"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-TABLE",
"B-VALUE",
"B-TABLE",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
2,846
|
formula_1
|
spider:train_spider.json:2157
|
Find the names of all races held in 2017.
|
SELECT name FROM races WHERE YEAR = 2017
|
[
"Find",
"the",
"names",
"of",
"all",
"races",
"held",
"in",
"2017",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "races"
},
{
"id": 1,
"type": "column",
"value": "name"
},
{
"id": 2,
"type": "column",
"value": "year"
},
{
"id": 3,
"type": "value",
"value": "2017"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
5
]
},
{
"entity_id": 1,
"token_idxs": [
2
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
8
]
},
{
"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",
"B-VALUE",
"O"
] |
2,847
|
cre_Drama_Workshop_Groups
|
spider:train_spider.json:5112
|
List all product names in ascending order of price.
|
SELECT Product_Name FROM Products ORDER BY Product_Price ASC
|
[
"List",
"all",
"product",
"names",
"in",
"ascending",
"order",
"of",
"price",
"."
] |
[
{
"id": 2,
"type": "column",
"value": "product_price"
},
{
"id": 1,
"type": "column",
"value": "product_name"
},
{
"id": 0,
"type": "table",
"value": "products"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"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",
"B-TABLE",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O"
] |
2,848
|
restaurant
|
bird:train.json:1675
|
List all cities in the Northern California Region.
|
SELECT city FROM geographic WHERE region = 'northern california'
|
[
"List",
"all",
"cities",
"in",
"the",
"Northern",
"California",
"Region",
"."
] |
[
{
"id": 3,
"type": "value",
"value": "northern california"
},
{
"id": 0,
"type": "table",
"value": "geographic"
},
{
"id": 2,
"type": "column",
"value": "region"
},
{
"id": 1,
"type": "column",
"value": "city"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
2
]
},
{
"entity_id": 2,
"token_idxs": [
7
]
},
{
"entity_id": 3,
"token_idxs": [
5,
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-COLUMN",
"O",
"O",
"B-VALUE",
"I-VALUE",
"B-COLUMN",
"O"
] |
2,849
|
medicine_enzyme_interaction
|
spider:train_spider.json:973
|
Which enzyme names have the substring "ALA"?
|
SELECT name FROM enzyme WHERE name LIKE "%ALA%"
|
[
"Which",
"enzyme",
"names",
"have",
"the",
"substring",
"\"",
"ALA",
"\"",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "enzyme"
},
{
"id": 2,
"type": "column",
"value": "%ALA%"
},
{
"id": 1,
"type": "column",
"value": "name"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
1
]
},
{
"entity_id": 1,
"token_idxs": [
2
]
},
{
"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",
"B-TABLE",
"B-COLUMN",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O"
] |
2,850
|
shop_membership
|
spider:train_spider.json:5420
|
Show all member names and registered branch names sorted by register year.
|
SELECT T3.name , T2.name FROM membership_register_branch AS T1 JOIN branch AS T2 ON T1.branch_id = T2.branch_id JOIN member AS T3 ON T1.member_id = T3.member_id ORDER BY T1.register_year
|
[
"Show",
"all",
"member",
"names",
"and",
"registered",
"branch",
"names",
"sorted",
"by",
"register",
"year",
"."
] |
[
{
"id": 3,
"type": "table",
"value": "membership_register_branch"
},
{
"id": 2,
"type": "column",
"value": "register_year"
},
{
"id": 5,
"type": "column",
"value": "member_id"
},
{
"id": 6,
"type": "column",
"value": "branch_id"
},
{
"id": 1,
"type": "table",
"value": "member"
},
{
"id": 4,
"type": "table",
"value": "branch"
},
{
"id": 0,
"type": "column",
"value": "name"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
7
]
},
{
"entity_id": 1,
"token_idxs": [
2
]
},
{
"entity_id": 2,
"token_idxs": [
10,
11
]
},
{
"entity_id": 3,
"token_idxs": [
3,
4,
5
]
},
{
"entity_id": 4,
"token_idxs": [
6
]
},
{
"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",
"B-TABLE",
"I-TABLE",
"I-TABLE",
"B-TABLE",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O"
] |
2,852
|
architecture
|
spider:train_spider.json:6955
|
What are the ids, names and genders of the architects who built two bridges or one mill?
|
SELECT T1.id , T1.name , T1.gender FROM architect AS T1 JOIN bridge AS T2 ON T1.id = T2.architect_id GROUP BY T1.id HAVING count(*) = 2 UNION SELECT T1.id , T1.name , T1.gender FROM architect AS T1 JOIN mill AS T2 ON T1.id = T2.architect_id GROUP BY T1.id HAVING count(*) = 1
|
[
"What",
"are",
"the",
"ids",
",",
"names",
"and",
"genders",
"of",
"the",
"architects",
"who",
"built",
"two",
"bridges",
"or",
"one",
"mill",
"?"
] |
[
{
"id": 8,
"type": "column",
"value": "architect_id"
},
{
"id": 3,
"type": "table",
"value": "architect"
},
{
"id": 2,
"type": "column",
"value": "gender"
},
{
"id": 4,
"type": "table",
"value": "bridge"
},
{
"id": 1,
"type": "column",
"value": "name"
},
{
"id": 6,
"type": "table",
"value": "mill"
},
{
"id": 0,
"type": "column",
"value": "id"
},
{
"id": 5,
"type": "value",
"value": "2"
},
{
"id": 7,
"type": "value",
"value": "1"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": [
5
]
},
{
"entity_id": 2,
"token_idxs": [
7
]
},
{
"entity_id": 3,
"token_idxs": [
10
]
},
{
"entity_id": 4,
"token_idxs": [
14
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": [
17
]
},
{
"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",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-TABLE",
"O"
] |
2,853
|
music_tracker
|
bird:train.json:2056
|
What are the tags of the release "sugarhill gang"?
|
SELECT T2.tag FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T1.groupName = 'sugarhill gang'
|
[
"What",
"are",
"the",
"tags",
"of",
"the",
"release",
"\"",
"sugarhill",
"gang",
"\"",
"?"
] |
[
{
"id": 4,
"type": "value",
"value": "sugarhill gang"
},
{
"id": 3,
"type": "column",
"value": "groupname"
},
{
"id": 1,
"type": "table",
"value": "torrents"
},
{
"id": 2,
"type": "table",
"value": "tags"
},
{
"id": 0,
"type": "column",
"value": "tag"
},
{
"id": 5,
"type": "column",
"value": "id"
}
] |
[
{
"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": [
8,
9
]
},
{
"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-VALUE",
"I-VALUE",
"O",
"O"
] |
2,854
|
store_product
|
spider:train_spider.json:4917
|
What are the names of all the stores located in Khanewal District?
|
SELECT t1.store_name FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id WHERE t3.district_name = "Khanewal District"
|
[
"What",
"are",
"the",
"names",
"of",
"all",
"the",
"stores",
"located",
"in",
"Khanewal",
"District",
"?"
] |
[
{
"id": 3,
"type": "column",
"value": "Khanewal District"
},
{
"id": 5,
"type": "table",
"value": "store_district"
},
{
"id": 2,
"type": "column",
"value": "district_name"
},
{
"id": 6,
"type": "column",
"value": "district_id"
},
{
"id": 0,
"type": "column",
"value": "store_name"
},
{
"id": 1,
"type": "table",
"value": "district"
},
{
"id": 7,
"type": "column",
"value": "store_id"
},
{
"id": 4,
"type": "table",
"value": "store"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2,
3
]
},
{
"entity_id": 1,
"token_idxs": [
11
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
10
]
},
{
"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",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"B-TABLE",
"O"
] |
2,855
|
cre_Doc_Workflow
|
bird:test.json:2046
|
How many documents have a process?
|
SELECT count(DISTINCT document_id) FROM Documents_processes
|
[
"How",
"many",
"documents",
"have",
"a",
"process",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "documents_processes"
},
{
"id": 1,
"type": "column",
"value": "document_id"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3,
4,
5
]
},
{
"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",
"B-TABLE",
"I-TABLE",
"I-TABLE",
"O"
] |
2,856
|
movielens
|
bird:train.json:2304
|
Please list the actor IDs whose movies have the newest published date.
|
SELECT T1.actorid FROM movies2actors AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid WHERE T2.year = 4
|
[
"Please",
"list",
"the",
"actor",
"IDs",
"whose",
"movies",
"have",
"the",
"newest",
"published",
"date",
"."
] |
[
{
"id": 1,
"type": "table",
"value": "movies2actors"
},
{
"id": 0,
"type": "column",
"value": "actorid"
},
{
"id": 5,
"type": "column",
"value": "movieid"
},
{
"id": 2,
"type": "table",
"value": "movies"
},
{
"id": 3,
"type": "column",
"value": "year"
},
{
"id": 4,
"type": "value",
"value": "4"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3,
4
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
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",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O"
] |
2,857
|
network_2
|
spider:train_spider.json:4408
|
Who is the oldest person?
|
SELECT name FROM Person WHERE age = (SELECT max(age) FROM person)
|
[
"Who",
"is",
"the",
"oldest",
"person",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "person"
},
{
"id": 1,
"type": "column",
"value": "name"
},
{
"id": 2,
"type": "column",
"value": "age"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"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",
"B-TABLE",
"O"
] |
2,858
|
student_loan
|
bird:train.json:4553
|
How many students have never been absent in school?
|
SELECT COUNT(name) FROM longest_absense_from_school WHERE month = 0
|
[
"How",
"many",
"students",
"have",
"never",
"been",
"absent",
"in",
"school",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "longest_absense_from_school"
},
{
"id": 1,
"type": "column",
"value": "month"
},
{
"id": 3,
"type": "column",
"value": "name"
},
{
"id": 2,
"type": "value",
"value": "0"
}
] |
[
{
"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": []
},
{
"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",
"O"
] |
2,859
|
college_2
|
spider:train_spider.json:1479
|
What are the ids for courses that were offered in both Fall of 2009 and Spring of 2010?
|
SELECT course_id FROM SECTION WHERE semester = 'Fall' AND YEAR = 2009 INTERSECT SELECT course_id FROM SECTION WHERE semester = 'Spring' AND YEAR = 2010
|
[
"What",
"are",
"the",
"ids",
"for",
"courses",
"that",
"were",
"offered",
"in",
"both",
"Fall",
"of",
"2009",
"and",
"Spring",
"of",
"2010",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "course_id"
},
{
"id": 2,
"type": "column",
"value": "semester"
},
{
"id": 0,
"type": "table",
"value": "section"
},
{
"id": 6,
"type": "value",
"value": "Spring"
},
{
"id": 3,
"type": "value",
"value": "Fall"
},
{
"id": 4,
"type": "column",
"value": "year"
},
{
"id": 5,
"type": "value",
"value": "2009"
},
{
"id": 7,
"type": "value",
"value": "2010"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
5
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
11
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
13
]
},
{
"entity_id": 6,
"token_idxs": [
15
]
},
{
"entity_id": 7,
"token_idxs": [
17
]
},
{
"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",
"O",
"O",
"O",
"B-VALUE",
"O",
"B-VALUE",
"O",
"B-VALUE",
"O",
"B-VALUE",
"O"
] |
2,860
|
card_games
|
bird:dev.json:447
|
Give the code of sets have expansion commander type?
|
SELECT T2.setCode FROM sets AS T1 INNER JOIN set_translations AS T2 ON T2.setCode = T1.code WHERE T1.type = 'commander'
|
[
"Give",
"the",
"code",
"of",
"sets",
"have",
"expansion",
"commander",
"type",
"?"
] |
[
{
"id": 2,
"type": "table",
"value": "set_translations"
},
{
"id": 4,
"type": "value",
"value": "commander"
},
{
"id": 0,
"type": "column",
"value": "setcode"
},
{
"id": 1,
"type": "table",
"value": "sets"
},
{
"id": 3,
"type": "column",
"value": "type"
},
{
"id": 5,
"type": "column",
"value": "code"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
4
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
8
]
},
{
"entity_id": 4,
"token_idxs": [
7
]
},
{
"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-COLUMN",
"O",
"B-TABLE",
"O",
"O",
"B-VALUE",
"B-COLUMN",
"O"
] |
2,861
|
customers_and_invoices
|
spider:train_spider.json:1581
|
How many transaction does account with name 337 have?
|
SELECT count(*) FROM Financial_transactions AS T1 JOIN Accounts AS T2 ON T1.account_id = T2.account_id WHERE T2.account_name = "337"
|
[
"How",
"many",
"transaction",
"does",
"account",
"with",
"name",
"337",
"have",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "financial_transactions"
},
{
"id": 2,
"type": "column",
"value": "account_name"
},
{
"id": 4,
"type": "column",
"value": "account_id"
},
{
"id": 1,
"type": "table",
"value": "accounts"
},
{
"id": 3,
"type": "column",
"value": "337"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
1,
2
]
},
{
"entity_id": 1,
"token_idxs": [
4
]
},
{
"entity_id": 2,
"token_idxs": [
5,
6
]
},
{
"entity_id": 3,
"token_idxs": [
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",
"B-TABLE",
"I-TABLE",
"O",
"B-TABLE",
"B-COLUMN",
"I-COLUMN",
"B-COLUMN",
"O",
"O"
] |
2,862
|
planet_1
|
bird:test.json:1877
|
What is the heaviest package sent by the clients which 'John' is part of their name? List package number and weight.
|
SELECT T1.PackageNumber , max(T1.Weight) FROM PACKAGE AS T1 JOIN Client AS T2 ON T1.Sender = T2.AccountNumber WHERE T2.Name LIKE "John";
|
[
"What",
"is",
"the",
"heaviest",
"package",
"sent",
"by",
"the",
"clients",
"which",
"'",
"John",
"'",
"is",
"part",
"of",
"their",
"name",
"?",
"List",
"package",
"number",
"and",
"weight",
"."
] |
[
{
"id": 0,
"type": "column",
"value": "packagenumber"
},
{
"id": 7,
"type": "column",
"value": "accountnumber"
},
{
"id": 1,
"type": "table",
"value": "package"
},
{
"id": 2,
"type": "table",
"value": "client"
},
{
"id": 5,
"type": "column",
"value": "weight"
},
{
"id": 6,
"type": "column",
"value": "sender"
},
{
"id": 3,
"type": "column",
"value": "name"
},
{
"id": 4,
"type": "column",
"value": "John"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
20
]
},
{
"entity_id": 1,
"token_idxs": [
4
]
},
{
"entity_id": 2,
"token_idxs": [
8
]
},
{
"entity_id": 3,
"token_idxs": [
17
]
},
{
"entity_id": 4,
"token_idxs": [
11
]
},
{
"entity_id": 5,
"token_idxs": [
23
]
},
{
"entity_id": 6,
"token_idxs": [
5
]
},
{
"entity_id": 7,
"token_idxs": [
21
]
},
{
"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",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"B-COLUMN",
"O",
"B-COLUMN",
"O"
] |
2,863
|
cre_Doc_Tracking_DB
|
spider:train_spider.json:4245
|
What are the ids of all the employees who have destroyed documents?
|
SELECT DISTINCT Destroyed_by_Employee_ID FROM Documents_to_be_destroyed
|
[
"What",
"are",
"the",
"ids",
"of",
"all",
"the",
"employees",
"who",
"have",
"destroyed",
"documents",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "documents_to_be_destroyed"
},
{
"id": 1,
"type": "column",
"value": "destroyed_by_employee_id"
}
] |
[
{
"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": []
},
{
"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",
"O",
"O",
"O",
"O"
] |
2,864
|
bakery_1
|
bird:test.json:1590
|
On what dates did the bakery sell more than 100 dollars worth of goods in total?
|
SELECT T3.date FROM goods AS T1 JOIN items AS T2 ON T1.id = T2.item JOIN receipts AS T3 ON T2.receipt = T3.ReceiptNumber GROUP BY T3.date HAVING sum(T1.price) > 100
|
[
"On",
"what",
"dates",
"did",
"the",
"bakery",
"sell",
"more",
"than",
"100",
"dollars",
"worth",
"of",
"goods",
"in",
"total",
"?"
] |
[
{
"id": 6,
"type": "column",
"value": "receiptnumber"
},
{
"id": 1,
"type": "table",
"value": "receipts"
},
{
"id": 5,
"type": "column",
"value": "receipt"
},
{
"id": 3,
"type": "table",
"value": "goods"
},
{
"id": 4,
"type": "table",
"value": "items"
},
{
"id": 7,
"type": "column",
"value": "price"
},
{
"id": 0,
"type": "column",
"value": "date"
},
{
"id": 9,
"type": "column",
"value": "item"
},
{
"id": 2,
"type": "value",
"value": "100"
},
{
"id": 8,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
9
]
},
{
"entity_id": 3,
"token_idxs": [
13
]
},
{
"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": []
},
{
"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",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O"
] |
2,865
|
district_spokesman
|
bird:test.json:1193
|
Find the names of spokesmen who have served some district before 2004.
|
SELECT t1.name FROM spokesman AS t1 JOIN spokesman_district AS t2 ON t1.Spokesman_ID = t2.Spokesman_ID WHERE t2.start_year < 2004
|
[
"Find",
"the",
"names",
"of",
"spokesmen",
"who",
"have",
"served",
"some",
"district",
"before",
"2004",
"."
] |
[
{
"id": 2,
"type": "table",
"value": "spokesman_district"
},
{
"id": 5,
"type": "column",
"value": "spokesman_id"
},
{
"id": 3,
"type": "column",
"value": "start_year"
},
{
"id": 1,
"type": "table",
"value": "spokesman"
},
{
"id": 0,
"type": "column",
"value": "name"
},
{
"id": 4,
"type": "value",
"value": "2004"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": [
4
]
},
{
"entity_id": 2,
"token_idxs": [
8,
9
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
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",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-TABLE",
"I-TABLE",
"O",
"B-VALUE",
"O"
] |
2,866
|
beer_factory
|
bird:train.json:5346
|
Which of the root beer brand have the lowest purchase?
|
SELECT T2.BrandName FROM rootbeer AS T1 INNER JOIN rootbeerbrand AS T2 ON T1.BrandID = T2.BrandID GROUP BY T2.BrandID ORDER BY COUNT(T1.BrandID) LIMIT 1
|
[
"Which",
"of",
"the",
"root",
"beer",
"brand",
"have",
"the",
"lowest",
"purchase",
"?"
] |
[
{
"id": 3,
"type": "table",
"value": "rootbeerbrand"
},
{
"id": 1,
"type": "column",
"value": "brandname"
},
{
"id": 2,
"type": "table",
"value": "rootbeer"
},
{
"id": 0,
"type": "column",
"value": "brandid"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
5
]
},
{
"entity_id": 1,
"token_idxs": [
6
]
},
{
"entity_id": 2,
"token_idxs": [
3,
4
]
},
{
"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",
"I-TABLE",
"B-COLUMN",
"B-COLUMN",
"O",
"O",
"O",
"O"
] |
2,867
|
candidate_poll
|
spider:train_spider.json:2413
|
What are the average and minimum weights for people of each sex?
|
SELECT avg(weight) , min(weight) , sex FROM people GROUP BY sex
|
[
"What",
"are",
"the",
"average",
"and",
"minimum",
"weights",
"for",
"people",
"of",
"each",
"sex",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "people"
},
{
"id": 2,
"type": "column",
"value": "weight"
},
{
"id": 1,
"type": "column",
"value": "sex"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
8
]
},
{
"entity_id": 1,
"token_idxs": [
11
]
},
{
"entity_id": 2,
"token_idxs": [
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",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"O"
] |
2,868
|
restaurant_bills
|
bird:test.json:621
|
Which customers have nationality "England" or "Australia"? Give me their names.
|
SELECT Name FROM customer WHERE Nationality = "England" OR Nationality = "Australia"
|
[
"Which",
"customers",
"have",
"nationality",
"\"",
"England",
"\"",
"or",
"\"",
"Australia",
"\"",
"?",
"Give",
"me",
"their",
"names",
"."
] |
[
{
"id": 2,
"type": "column",
"value": "nationality"
},
{
"id": 4,
"type": "column",
"value": "Australia"
},
{
"id": 0,
"type": "table",
"value": "customer"
},
{
"id": 3,
"type": "column",
"value": "England"
},
{
"id": 1,
"type": "column",
"value": "name"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
1
]
},
{
"entity_id": 1,
"token_idxs": [
15
]
},
{
"entity_id": 2,
"token_idxs": [
3
]
},
{
"entity_id": 3,
"token_idxs": [
5
]
},
{
"entity_id": 4,
"token_idxs": [
9
]
},
{
"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",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O"
] |
2,869
|
beer_factory
|
bird:train.json:5361
|
Please name any three root beer brands that have the highest market evaluation and acceptance.
|
SELECT DISTINCT T1.BrandName FROM rootbeerbrand AS T1 INNER JOIN rootbeerreview AS T2 ON T1.BrandID = T2.BrandID WHERE T2.StarRating = 5 LIMIT 3
|
[
"Please",
"name",
"any",
"three",
"root",
"beer",
"brands",
"that",
"have",
"the",
"highest",
"market",
"evaluation",
"and",
"acceptance",
"."
] |
[
{
"id": 2,
"type": "table",
"value": "rootbeerreview"
},
{
"id": 1,
"type": "table",
"value": "rootbeerbrand"
},
{
"id": 3,
"type": "column",
"value": "starrating"
},
{
"id": 0,
"type": "column",
"value": "brandname"
},
{
"id": 5,
"type": "column",
"value": "brandid"
},
{
"id": 4,
"type": "value",
"value": "5"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"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": [
6
]
},
{
"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",
"I-TABLE",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
2,870
|
beer_factory
|
bird:train.json:5284
|
List the brands of root beer produced by Dr Pepper Snapple Group and calculate their percentage of purchases between 2014 to 2016.
|
SELECT T1.BrandName , CAST(SUM(CASE WHEN T2.PurchaseDate >= '2014-01-01' AND T2.PurchaseDate <= '2016-12-31' THEN 1 ELSE 0 END) AS REAL) / COUNT(T2.BrandID) AS purchase FROM rootbeerbrand AS T1 INNER JOIN rootbeer AS T2 ON T1.BrandID = T2.BrandID WHERE T1.BreweryName = 'Dr Pepper Snapple Group' GROUP BY T2.BrandID
|
[
"List",
"the",
"brands",
"of",
"root",
"beer",
"produced",
"by",
"Dr",
"Pepper",
"Snapple",
"Group",
"and",
"calculate",
"their",
"percentage",
"of",
"purchases",
"between",
"2014",
"to",
"2016",
"."
] |
[
{
"id": 5,
"type": "value",
"value": "Dr Pepper Snapple Group"
},
{
"id": 2,
"type": "table",
"value": "rootbeerbrand"
},
{
"id": 8,
"type": "column",
"value": "purchasedate"
},
{
"id": 4,
"type": "column",
"value": "breweryname"
},
{
"id": 9,
"type": "value",
"value": "2014-01-01"
},
{
"id": 10,
"type": "value",
"value": "2016-12-31"
},
{
"id": 1,
"type": "column",
"value": "brandname"
},
{
"id": 3,
"type": "table",
"value": "rootbeer"
},
{
"id": 0,
"type": "column",
"value": "brandid"
},
{
"id": 6,
"type": "value",
"value": "0"
},
{
"id": 7,
"type": "value",
"value": "1"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
4,
5
]
},
{
"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": [
17
]
},
{
"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",
"I-TABLE",
"O",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O"
] |
2,871
|
ship_mission
|
spider:train_spider.json:4024
|
List the name of ships that are not involved in any mission
|
SELECT Name FROM ship WHERE Ship_ID NOT IN (SELECT Ship_ID FROM mission)
|
[
"List",
"the",
"name",
"of",
"ships",
"that",
"are",
"not",
"involved",
"in",
"any",
"mission"
] |
[
{
"id": 2,
"type": "column",
"value": "ship_id"
},
{
"id": 3,
"type": "table",
"value": "mission"
},
{
"id": 0,
"type": "table",
"value": "ship"
},
{
"id": 1,
"type": "column",
"value": "name"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
"token_idxs": [
2
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
11
]
},
{
"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",
"O",
"B-TABLE"
] |
2,872
|
soccer_2016
|
bird:train.json:1896
|
From which country does the most umpires are from? How many of them are from the mentioned country?
|
SELECT T2.Country_Id, COUNT(T1.Umpire_Id) FROM Umpire AS T1 INNER JOIN Country AS T2 ON T2.Country_Id = T1.Umpire_Country GROUP BY T2.Country_Id ORDER BY COUNT(T1.Umpire_Id) DESC LIMIT 1
|
[
"From",
"which",
"country",
"does",
"the",
"most",
"umpires",
"are",
"from",
"?",
"How",
"many",
"of",
"them",
"are",
"from",
"the",
"mentioned",
"country",
"?",
"\n"
] |
[
{
"id": 4,
"type": "column",
"value": "umpire_country"
},
{
"id": 0,
"type": "column",
"value": "country_id"
},
{
"id": 3,
"type": "column",
"value": "umpire_id"
},
{
"id": 2,
"type": "table",
"value": "country"
},
{
"id": 1,
"type": "table",
"value": "umpire"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
18
]
},
{
"entity_id": 1,
"token_idxs": [
6
]
},
{
"entity_id": 2,
"token_idxs": [
2
]
},
{
"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",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O"
] |
2,873
|
soccer_2
|
spider:train_spider.json:4955
|
How many hours do the players train on average?
|
SELECT avg(HS) FROM Player
|
[
"How",
"many",
"hours",
"do",
"the",
"players",
"train",
"on",
"average",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "player"
},
{
"id": 1,
"type": "column",
"value": "hs"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
5
]
},
{
"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",
"B-TABLE",
"O",
"O",
"O",
"O"
] |
2,874
|
cre_Docs_and_Epenses
|
spider:train_spider.json:6415
|
Show the ids for projects with at least 2 documents.
|
SELECT project_id FROM Documents GROUP BY project_id HAVING count(*) >= 2
|
[
"Show",
"the",
"ids",
"for",
"projects",
"with",
"at",
"least",
"2",
"documents",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "project_id"
},
{
"id": 0,
"type": "table",
"value": "documents"
},
{
"id": 2,
"type": "value",
"value": "2"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
9
]
},
{
"entity_id": 1,
"token_idxs": [
4
]
},
{
"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-COLUMN",
"O",
"O",
"O",
"B-VALUE",
"B-TABLE",
"O"
] |
2,875
|
student_loan
|
bird:train.json:4429
|
How many unemployed students are enlisted in the navy organization?
|
SELECT COUNT(T1.name) FROM unemployed AS T1 INNER JOIN enlist AS T2 ON T1.name = T2.name WHERE T2.organ = 'navy'
|
[
"How",
"many",
"unemployed",
"students",
"are",
"enlisted",
"in",
"the",
"navy",
"organization",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "unemployed"
},
{
"id": 1,
"type": "table",
"value": "enlist"
},
{
"id": 2,
"type": "column",
"value": "organ"
},
{
"id": 3,
"type": "value",
"value": "navy"
},
{
"id": 4,
"type": "column",
"value": "name"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": [
5
]
},
{
"entity_id": 2,
"token_idxs": [
9
]
},
{
"entity_id": 3,
"token_idxs": [
8
]
},
{
"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-TABLE",
"O",
"O",
"B-VALUE",
"B-COLUMN",
"O"
] |
2,876
|
product_catalog
|
spider:train_spider.json:320
|
Find the level name of the catalog with the lowest price (in USD).
|
SELECT t2.catalog_level_name FROM catalog_contents AS t1 JOIN catalog_structure AS t2 ON t1.catalog_level_number = t2.catalog_level_number ORDER BY t1.price_in_dollars LIMIT 1
|
[
"Find",
"the",
"level",
"name",
"of",
"the",
"catalog",
"with",
"the",
"lowest",
"price",
"(",
"in",
"USD",
")",
"."
] |
[
{
"id": 4,
"type": "column",
"value": "catalog_level_number"
},
{
"id": 0,
"type": "column",
"value": "catalog_level_name"
},
{
"id": 2,
"type": "table",
"value": "catalog_structure"
},
{
"id": 1,
"type": "table",
"value": "catalog_contents"
},
{
"id": 3,
"type": "column",
"value": "price_in_dollars"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2,
3
]
},
{
"entity_id": 1,
"token_idxs": [
6
]
},
{
"entity_id": 2,
"token_idxs": [
7,
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",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"B-TABLE",
"B-TABLE",
"I-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
2,877
|
codebase_community
|
bird:dev.json:573
|
Write the contents of comments with a score of 17.
|
SELECT Text FROM comments WHERE Score = 17
|
[
"Write",
"the",
"contents",
"of",
"comments",
"with",
"a",
"score",
"of",
"17",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "comments"
},
{
"id": 2,
"type": "column",
"value": "score"
},
{
"id": 1,
"type": "column",
"value": "text"
},
{
"id": 3,
"type": "value",
"value": "17"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
7
]
},
{
"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",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"O"
] |
2,878
|
loan_1
|
spider:train_spider.json:3061
|
What are the names of the different bank branches, and what are their total loan amounts?
|
SELECT sum(amount) , T1.bname FROM bank AS T1 JOIN loan AS T2 ON T1.branch_id = T2.branch_id GROUP BY T1.bname
|
[
"What",
"are",
"the",
"names",
"of",
"the",
"different",
"bank",
"branches",
",",
"and",
"what",
"are",
"their",
"total",
"loan",
"amounts",
"?"
] |
[
{
"id": 4,
"type": "column",
"value": "branch_id"
},
{
"id": 3,
"type": "column",
"value": "amount"
},
{
"id": 0,
"type": "column",
"value": "bname"
},
{
"id": 1,
"type": "table",
"value": "bank"
},
{
"id": 2,
"type": "table",
"value": "loan"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": [
7
]
},
{
"entity_id": 2,
"token_idxs": [
15
]
},
{
"entity_id": 3,
"token_idxs": [
16
]
},
{
"entity_id": 4,
"token_idxs": [
8
]
},
{
"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",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O"
] |
2,879
|
public_review_platform
|
bird:train.json:3774
|
Give the percentage of "Automotive" businesses among all the Yelp businesses.
|
SELECT CAST(SUM(CASE WHEN T2.category_name LIKE 'Automotive' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.business_id) AS "percentage" FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id
|
[
"Give",
"the",
"percentage",
"of",
"\"",
"Automotive",
"\"",
"businesses",
"among",
"all",
"the",
"Yelp",
"businesses",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "business_categories"
},
{
"id": 7,
"type": "column",
"value": "category_name"
},
{
"id": 2,
"type": "column",
"value": "category_id"
},
{
"id": 4,
"type": "column",
"value": "business_id"
},
{
"id": 1,
"type": "table",
"value": "categories"
},
{
"id": 8,
"type": "value",
"value": "Automotive"
},
{
"id": 3,
"type": "value",
"value": "100"
},
{
"id": 5,
"type": "value",
"value": "0"
},
{
"id": 6,
"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": [
7
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": [
5
]
},
{
"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-VALUE",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O"
] |
2,880
|
theme_gallery
|
spider:train_spider.json:1651
|
Show all artist name, age, and country ordered by the yeared they joined.
|
SELECT name , age , country FROM artist ORDER BY Year_Join
|
[
"Show",
"all",
"artist",
"name",
",",
"age",
",",
"and",
"country",
"ordered",
"by",
"the",
"yeared",
"they",
"joined",
"."
] |
[
{
"id": 4,
"type": "column",
"value": "year_join"
},
{
"id": 3,
"type": "column",
"value": "country"
},
{
"id": 0,
"type": "table",
"value": "artist"
},
{
"id": 1,
"type": "column",
"value": "name"
},
{
"id": 2,
"type": "column",
"value": "age"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": [
3
]
},
{
"entity_id": 2,
"token_idxs": [
5
]
},
{
"entity_id": 3,
"token_idxs": [
8
]
},
{
"entity_id": 4,
"token_idxs": [
12,
13,
14
]
},
{
"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",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O"
] |
2,882
|
book_publishing_company
|
bird:train.json:216
|
Which job level is O'Rourke at?
|
SELECT job_lvl FROM employee WHERE lname = 'O''Rourke'
|
[
"Which",
"job",
"level",
"is",
"O'Rourke",
"at",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "employee"
},
{
"id": 3,
"type": "value",
"value": "O'Rourke"
},
{
"id": 1,
"type": "column",
"value": "job_lvl"
},
{
"id": 2,
"type": "column",
"value": "lname"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
1,
2
]
},
{
"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-COLUMN",
"I-COLUMN",
"O",
"B-VALUE",
"O",
"O"
] |
2,883
|
superhero
|
bird:dev.json:826
|
Identify the heaviest superhero in DC Comics.
|
SELECT T1.superhero_name FROM superhero AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.id WHERE T2.publisher_name = 'DC Comics' ORDER BY T1.weight_kg DESC LIMIT 1
|
[
"Identify",
"the",
"heaviest",
"superhero",
"in",
"DC",
"Comics",
"."
] |
[
{
"id": 0,
"type": "column",
"value": "superhero_name"
},
{
"id": 3,
"type": "column",
"value": "publisher_name"
},
{
"id": 6,
"type": "column",
"value": "publisher_id"
},
{
"id": 1,
"type": "table",
"value": "superhero"
},
{
"id": 2,
"type": "table",
"value": "publisher"
},
{
"id": 4,
"type": "value",
"value": "DC Comics"
},
{
"id": 5,
"type": "column",
"value": "weight_kg"
},
{
"id": 7,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
3
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
5,
6
]
},
{
"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",
"B-VALUE",
"I-VALUE",
"O"
] |
2,884
|
beer_factory
|
bird:train.json:5291
|
How many brands of root beers are available in cans and contain corn syrup and artificial sweeteners?
|
SELECT COUNT(BrandID) FROM rootbeerbrand WHERE CornSyrup = 'TRUE' AND ArtificialSweetener = 'TRUE' AND AvailableInCans = 'TRUE'
|
[
"How",
"many",
"brands",
"of",
"root",
"beers",
"are",
"available",
"in",
"cans",
"and",
"contain",
"corn",
"syrup",
"and",
"artificial",
"sweeteners",
"?"
] |
[
{
"id": 4,
"type": "column",
"value": "artificialsweetener"
},
{
"id": 5,
"type": "column",
"value": "availableincans"
},
{
"id": 0,
"type": "table",
"value": "rootbeerbrand"
},
{
"id": 2,
"type": "column",
"value": "cornsyrup"
},
{
"id": 1,
"type": "column",
"value": "brandid"
},
{
"id": 3,
"type": "value",
"value": "TRUE"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4,
5
]
},
{
"entity_id": 1,
"token_idxs": [
2
]
},
{
"entity_id": 2,
"token_idxs": [
12,
13
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
15,
16
]
},
{
"entity_id": 5,
"token_idxs": [
7,
8,
9
]
},
{
"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",
"I-TABLE",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"B-COLUMN",
"I-COLUMN",
"O"
] |
2,885
|
store_1
|
spider:train_spider.json:636
|
What are the names of all tracks that are on playlists titled Movies?
|
SELECT T1.name FROM tracks AS T1 JOIN playlist_tracks AS T2 ON T1.id = T2.track_id JOIN playlists AS T3 ON T3.id = T2.playlist_id WHERE T3.name = "Movies";
|
[
"What",
"are",
"the",
"names",
"of",
"all",
"tracks",
"that",
"are",
"on",
"playlists",
"titled",
"Movies",
"?"
] |
[
{
"id": 4,
"type": "table",
"value": "playlist_tracks"
},
{
"id": 6,
"type": "column",
"value": "playlist_id"
},
{
"id": 1,
"type": "table",
"value": "playlists"
},
{
"id": 7,
"type": "column",
"value": "track_id"
},
{
"id": 2,
"type": "column",
"value": "Movies"
},
{
"id": 3,
"type": "table",
"value": "tracks"
},
{
"id": 0,
"type": "column",
"value": "name"
},
{
"id": 5,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": [
10
]
},
{
"entity_id": 2,
"token_idxs": [
12
]
},
{
"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",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"O"
] |
2,886
|
chinook_1
|
spider:train_spider.json:871
|
Please show the employee last names that serves no more than 20 customers.
|
SELECT T1.LastName FROM CUSTOMER AS T1 JOIN EMPLOYEE AS T2 ON T1.SupportRepId = T2.EmployeeId GROUP BY T1.SupportRepId HAVING COUNT(*) <= 20
|
[
"Please",
"show",
"the",
"employee",
"last",
"names",
"that",
"serves",
"no",
"more",
"than",
"20",
"customers",
"."
] |
[
{
"id": 0,
"type": "column",
"value": "supportrepid"
},
{
"id": 5,
"type": "column",
"value": "employeeid"
},
{
"id": 1,
"type": "column",
"value": "lastname"
},
{
"id": 2,
"type": "table",
"value": "customer"
},
{
"id": 3,
"type": "table",
"value": "employee"
},
{
"id": 4,
"type": "value",
"value": "20"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
4,
5
]
},
{
"entity_id": 2,
"token_idxs": [
12
]
},
{
"entity_id": 3,
"token_idxs": [
3
]
},
{
"entity_id": 4,
"token_idxs": [
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-TABLE",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"B-TABLE",
"O"
] |
2,888
|
assets_maintenance
|
spider:train_spider.json:3130
|
What is the name and id of the staff who recorded the fault log but has not contacted any visiting engineers?
|
SELECT T1.staff_name , T1.staff_id FROM Staff AS T1 JOIN Fault_Log AS T2 ON T1.staff_id = T2.recorded_by_staff_id EXCEPT SELECT T3.staff_name , T3.staff_id FROM Staff AS T3 JOIN Engineer_Visits AS T4 ON T3.staff_id = T4.contact_staff_id
|
[
"What",
"is",
"the",
"name",
"and",
"i",
"d",
"of",
"the",
"staff",
"who",
"recorded",
"the",
"fault",
"log",
"but",
"has",
"not",
"contacted",
"any",
"visiting",
"engineers",
"?"
] |
[
{
"id": 5,
"type": "column",
"value": "recorded_by_staff_id"
},
{
"id": 6,
"type": "column",
"value": "contact_staff_id"
},
{
"id": 4,
"type": "table",
"value": "engineer_visits"
},
{
"id": 0,
"type": "column",
"value": "staff_name"
},
{
"id": 3,
"type": "table",
"value": "fault_log"
},
{
"id": 1,
"type": "column",
"value": "staff_id"
},
{
"id": 2,
"type": "table",
"value": "staff"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
9
]
},
{
"entity_id": 3,
"token_idxs": [
13,
14
]
},
{
"entity_id": 4,
"token_idxs": [
21
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": [
18
]
},
{
"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",
"O",
"B-TABLE",
"I-TABLE",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O"
] |
2,889
|
formula_1
|
bird:dev.json:994
|
Which constructor scored most points from Monaco Grand Prix between 1980 and 2010? List the score, name and nationality of this team.
|
SELECT SUM(T1.points), T2.name, T2.nationality FROM constructorResults AS T1 INNER JOIN constructors AS T2 ON T1.constructorId = T2.constructorId INNER JOIN races AS T3 ON T3.raceid = T1.raceid WHERE T3.name = 'Monaco Grand Prix' AND T3.year BETWEEN 1980 AND 2010 GROUP BY T2.name ORDER BY SUM(T1.points) DESC LIMIT 1
|
[
"Which",
"constructor",
"scored",
"most",
"points",
"from",
"Monaco",
"Grand",
"Prix",
"between",
"1980",
"and",
"2010",
"?",
"List",
"the",
"score",
",",
"name",
"and",
"nationality",
"of",
"this",
"team",
"."
] |
[
{
"id": 4,
"type": "table",
"value": "constructorresults"
},
{
"id": 7,
"type": "value",
"value": "Monaco Grand Prix"
},
{
"id": 11,
"type": "column",
"value": "constructorid"
},
{
"id": 5,
"type": "table",
"value": "constructors"
},
{
"id": 1,
"type": "column",
"value": "nationality"
},
{
"id": 3,
"type": "column",
"value": "points"
},
{
"id": 6,
"type": "column",
"value": "raceid"
},
{
"id": 2,
"type": "table",
"value": "races"
},
{
"id": 0,
"type": "column",
"value": "name"
},
{
"id": 8,
"type": "column",
"value": "year"
},
{
"id": 9,
"type": "value",
"value": "1980"
},
{
"id": 10,
"type": "value",
"value": "2010"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
18
]
},
{
"entity_id": 1,
"token_idxs": [
20
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
4
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
1
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": [
6,
7,
8
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": [
10
]
},
{
"entity_id": 10,
"token_idxs": [
12
]
},
{
"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-COLUMN",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"O",
"B-VALUE",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O"
] |
2,890
|
simpson_episodes
|
bird:train.json:4221
|
Describe the birth country, height and person name who were not included in credit list with category of casting.
|
SELECT T1.birth_country, T1.height_meters, T1.name FROM Person AS T1 INNER JOIN Credit AS T2 ON T1.name = T2.person WHERE T2.category = 'Cast' AND T2.credited = 'false';
|
[
"Describe",
"the",
"birth",
"country",
",",
"height",
"and",
"person",
"name",
"who",
"were",
"not",
"included",
"in",
"credit",
"list",
"with",
"category",
"of",
"casting",
"."
] |
[
{
"id": 0,
"type": "column",
"value": "birth_country"
},
{
"id": 1,
"type": "column",
"value": "height_meters"
},
{
"id": 6,
"type": "column",
"value": "category"
},
{
"id": 8,
"type": "column",
"value": "credited"
},
{
"id": 3,
"type": "table",
"value": "person"
},
{
"id": 4,
"type": "table",
"value": "credit"
},
{
"id": 5,
"type": "column",
"value": "person"
},
{
"id": 9,
"type": "value",
"value": "false"
},
{
"id": 2,
"type": "column",
"value": "name"
},
{
"id": 7,
"type": "value",
"value": "Cast"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2,
3
]
},
{
"entity_id": 1,
"token_idxs": [
5
]
},
{
"entity_id": 2,
"token_idxs": [
8
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
14
]
},
{
"entity_id": 5,
"token_idxs": [
7
]
},
{
"entity_id": 6,
"token_idxs": [
17
]
},
{
"entity_id": 7,
"token_idxs": [
19
]
},
{
"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-COLUMN",
"O",
"B-COLUMN",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"O"
] |
2,891
|
music_1
|
spider:train_spider.json:3568
|
How many songs were released for each format?
|
SELECT count(*) , formats FROM files GROUP BY formats
|
[
"How",
"many",
"songs",
"were",
"released",
"for",
"each",
"format",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "formats"
},
{
"id": 0,
"type": "table",
"value": "files"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
7
]
},
{
"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",
"B-COLUMN",
"O"
] |
2,892
|
insurance_and_eClaims
|
spider:train_spider.json:1530
|
Which customers have the substring "Diana" in their names? Return the customer details.
|
SELECT customer_details FROM customers WHERE customer_details LIKE "%Diana%"
|
[
"Which",
"customers",
"have",
"the",
"substring",
"\"",
"Diana",
"\"",
"in",
"their",
"names",
"?",
"Return",
"the",
"customer",
"details",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "customer_details"
},
{
"id": 0,
"type": "table",
"value": "customers"
},
{
"id": 2,
"type": "column",
"value": "%Diana%"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
1
]
},
{
"entity_id": 1,
"token_idxs": [
14,
15
]
},
{
"entity_id": 2,
"token_idxs": [
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",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O"
] |
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